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<strong>Abstracts</strong> <strong>of</strong> <strong>the</strong> <strong>Scientific</strong> <strong>Posters</strong>, <strong>2013</strong> <strong>AACC</strong> <strong>Annual</strong> <strong>Meeting</strong><br />

Clinical<br />

Chemistry<br />

www.clinchem.org Volume 59 Number S10 Pages A1-A295 OCTOBER <strong>2013</strong><br />

Supplement to Clinical Chemistry


SCIENTIFIC POSTER SESSION SCHEDULE<br />

<strong>Posters</strong> <strong>of</strong> <strong>the</strong> accepted abstracts can be viewed in <strong>the</strong> Exhibit Hall <strong>of</strong> <strong>the</strong> George R. Brown Convention Center,<br />

on Tuesday, July 30 and Wednesday, July 31. All posters will be posted for two and one half hours. The<br />

presenting author will be in attendance during <strong>the</strong> f nal hour. Please refer to <strong>the</strong> onsite Program Guide for a<br />

complete listing <strong>of</strong> <strong>the</strong> posters. Poster presenters are underlined in abstract listing.<br />

Below are <strong>the</strong> topics and <strong>the</strong>ir scheduled times.<br />

TUESDAY, JULY 30, POSTER SESSIONS<br />

9:30am – 5:00pm<br />

Cancer/Tumor Markers . . . . . . . . . . . . . . . . . A02 – A74 . . . . . . . . . . . . . . . . . . . . . . . . A2<br />

Automation/Computer Applications . . . . . . . A75 – A92 . . . . . . . . . . . . . . . . . . . . . . . A20<br />

Molecular Pathology/Probes . . . . . . . . . . . . . A93 – A131 . . . . . . . . . . . . . . . . . . . . . . A27<br />

Nutrition/Trace Metals/Vitamins . . . . . . . . . . A132 – A154 . . . . . . . . . . . . . . . . . . . . . A37<br />

Mass Spectrometry Applications . . . . . . . . . . A155 – A222 . . . . . . . . . . . . . . . . . . . . . A44<br />

Immunology . . . . . . . . . . . . . . . . . . . . . . . . . A223 – A278 . . . . . . . . . . . . . . . . . . . . . A67<br />

Endocrinology/Hormones . . . . . . . . . . . . . . . A279 – A363 . . . . . . . . . . . . . . . . . . . . . A84<br />

Clinical Studies/Outcomes . . . . . . . . . . . . . . A364 – A424 . . . . . . . . . . . . . . . . . . . . A112<br />

TDM/Toxicology/DAU . . . . . . . . . . . . . . . . . A425 – A476 . . . . . . . . . . . . . . . . . . . . A127<br />

Hematology/Coagulation . . . . . . . . . . . . . . . A477 – A525 . . . . . . . . . . . . . . . . . . . . A144<br />

Factors Affecting Test Results . . . . . . . . . . . . A527 – A561 . . . . . . . . . . . . . . . . . . . . A158<br />

WEDNESDAY, JULY 31, POSTER SESSIONS<br />

9:30am – 5:00pm<br />

Animal Clinical Chemistry . . . . . . . . . . . . . . B01 – B09 . . . . . . . . . . . . . . . . . . . . . . A170<br />

Management . . . . . . . . . . . . . . . . . . . . . . . . . B10 – B41 . . . . . . . . . . . . . . . . . . . . . . A173<br />

Point-<strong>of</strong>-Care Testing . . . . . . . . . . . . . . . . . . B42 – B88 . . . . . . . . . . . . . . . . . . . . . . A181<br />

Infectious Disease . . . . . . . . . . . . . . . . . . . . . B89 – B150 . . . . . . . . . . . . . . . . . . . . . A197<br />

Proteins/Enzymes . . . . . . . . . . . . . . . . . . . . . B151 – B174 . . . . . . . . . . . . . . . . . . . . A215<br />

Cardiac Markers . . . . . . . . . . . . . . . . . . . . . . B175 – B239 . . . . . . . . . . . . . . . . . . . . A223<br />

Technology/Design Development . . . . . . . . . B240 – B267 . . . . . . . . . . . . . . . . . . . . A242<br />

Electrolytes/Blood Gas/Metabolites . . . . . . . B268 – B283 . . . . . . . . . . . . . . . . . . . . A252<br />

Pediatric/Fetal Clinical Chemistry . . . . . . . . B284 – B313 . . . . . . . . . . . . . . . . . . . . A257<br />

Lipids/Lipoproteins . . . . . . . . . . . . . . . . . . . . B316 – B345 . . . . . . . . . . . . . . . . . . . . A266<br />

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A276<br />

Keyword Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A288<br />

Ed. Note: These abstracts have been reproduced without editorial alteration from <strong>the</strong> materials supplied by <strong>the</strong> authors. Infelicities <strong>of</strong><br />

preparation, grammar, spelling, style, syntax and usage are <strong>the</strong> authors’. The abstracts <strong>of</strong> those posters that were presented at <strong>the</strong> meeting<br />

can be found in <strong>the</strong> October issue <strong>of</strong> Clinical Chemistry.


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Cancer/Tumor Markers<br />

A-02<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Cancer/Tumor Markers<br />

Smoking History Impacts Gene Expression Levels <strong>of</strong> Human Breast<br />

Carcinoma<br />

J. L. Wittliff, S. A. Andres, M. A. Alatoum, T. S. Kalbfleisch. University <strong>of</strong><br />

Louisville, Louisville, KY<br />

In contrast to studies <strong>of</strong> o<strong>the</strong>r investigators that focused on cigarette smoking and<br />

risk <strong>of</strong> breast cancer occurrence, our emphasis is to explore <strong>the</strong> influence <strong>of</strong> tobacco<br />

smoking on breast cancer risk <strong>of</strong> recurrence and progression. Our goal is to combine<br />

knowledge <strong>of</strong> lifestyle behavior (smoking history) and molecular phenotypes <strong>of</strong> <strong>the</strong><br />

breast lesion to improve assessment <strong>of</strong> risk <strong>of</strong> recurrence. We utilized microarray data<br />

obtained from laser capture microdissected carcinoma cells from 247 de-identified<br />

patient tissue biopsies to select candidate genes to analyze <strong>the</strong> effects <strong>of</strong> tobacco<br />

smoking on gene expression in breast cancer. The study population consisted <strong>of</strong> 66<br />

cigarette smokers and 99 non-smokers. Each <strong>of</strong> <strong>the</strong>se groups was stratified fur<strong>the</strong>r<br />

into patients that remained disease-free vs. those that had a recurrence. Using<br />

non-parametric methods (e.g., t-test) <strong>the</strong> distribution <strong>of</strong> each <strong>of</strong> <strong>the</strong> ~22,000 genes<br />

represented in <strong>the</strong> microarray were analyzed by three comparisons: 1) all smokers<br />

vs. all non-smokers; 2) smokers with a recurrence vs. those that remained diseasefree;<br />

and 3) non-smokers with a recurrence vs. those that remained disease-free.<br />

These analyses identified 15 genes (APOC1, ARID1B, CTNNBL1, MSX1, UBE2F,<br />

IRF2, NCOA1, LECT2, THAP4, RIPK1, AGPAT1, C7orf23, CENPN, CETN1 and<br />

YTHDC2) for fur<strong>the</strong>r investigation. Using <strong>the</strong> entire patient population, a correlation<br />

<strong>of</strong> increased disease-free survival (DFS) and overall survival (OS) was observed<br />

with increased gene expression <strong>of</strong> IRF2, NCOA1, THAP4, RIPK1, C7orf23 and<br />

YTHDC2 (p


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

determined using a Student’s t test and analysis was determined using GraphPad prism<br />

s<strong>of</strong>tware. In conclusion, this is <strong>the</strong> first study to show <strong>the</strong> elevation <strong>of</strong> serum BCMA in<br />

patients with MM and levels correlated with <strong>the</strong> change in tumor volume in response<br />

to treatment with cyclophosphamide and bortezomib. We propose that BCMA may be<br />

a new serum biomarker for patients with MM, and is useful to determine prognosis<br />

and monitor <strong>the</strong> course <strong>of</strong> <strong>the</strong>ir disease.<br />

A-05<br />

PSA Enzymatic Activity: A New Biomarker for Assessing Prostate<br />

Cancer Aggressiveness<br />

D. Georganopoulou 1 , M. Ahrens 1 , P. Bertin 1 , E. Vonesh 2 , T. J. Meade 3 ,<br />

W. J. Catalona 3 . 1 Ohmx Corporation, Evanston, IL, 2 Vonesh Statistical<br />

Consulting, Libertyville, IL, 3 Northwestern University, Chicago, IL<br />

Background and objectives: The recent increase in prostate-specific antigen (psa)<br />

screening rates coupled with improved detection methods have caused a controversial<br />

upsurge in <strong>the</strong> number <strong>of</strong> men undergoing prostate biopsy and subsequent treatment.<br />

However, current diagnostic techniques generally suffer from limited ability to<br />

identify which seemingly indolent prostate cancers (pca) are biologically aggressive.<br />

We set out to determine if pca aggressiveness is associated with psa enzymatic activity<br />

in ex vivo prostatic fluid.<br />

Methods: We collected prostatic fluid from 778 post-radical prostatectomy specimens<br />

and randomly selected samples from both <strong>the</strong> clinically confirmed aggressive (n = 50)<br />

and non-aggressive (n =50) prostate cancer populations for our initial pilot study. In a<br />

blind study, we measured <strong>the</strong> level <strong>of</strong> proteolytic enzyme activity <strong>of</strong> psa (apsa) in each<br />

sample using a fluorogenic peptide probe and used receiver operating characteristic<br />

(roc) analysis to correlate apsa levels with prostate cancer aggressiveness.<br />

Results: We observed that <strong>the</strong> clinically non-aggressive population had a significantly<br />

higher apsa value (mean = 865μg/ml; median = 654μg/ml) than <strong>the</strong> clinically<br />

aggressive population (mean = 518μg/ml; median = 449μg/ml), meaning <strong>the</strong>re is a<br />

negative association <strong>of</strong> apsa with cancer aggressiveness. We performed a roc analysis<br />

appropriate for an unmatched case control study to assess <strong>the</strong> highest diagnostic effect<br />

for predicting aggressive pca. Among factors considered, apsa and <strong>the</strong> normalized<br />

ratio <strong>of</strong> apsa/serum tpsa (rpsa) had <strong>the</strong> highest discriminatory power for predicting<br />

<strong>the</strong> presence <strong>of</strong> aggressive pca. We calculated an area under <strong>the</strong> curve (auc) <strong>of</strong> 0.7008<br />

[95% ci: (0.5986, 0.8030)] for apsa and 0.7784 [95% ci: (0.6880, 0.8688)] for rpsa<br />

with <strong>the</strong> latter being significantly higher (p-value = 0.0300 based on a chi-square test).<br />

Conclusions: Our results show a significant correlation between pca progression and<br />

apsa in prostatic fluid. We found <strong>the</strong> range <strong>of</strong> measured apsa for aggressive cases was<br />

94 - 1220 μg/ml while non-aggressive cases ranged from 207 - 2626 μg/ml within<br />

our pilot study. Within <strong>the</strong> non-aggressive group, <strong>the</strong>re were 11 samples whose apsa<br />

values (1238 - 2626 μg/ml) were greater than <strong>the</strong> highest apsa value measured within<br />

<strong>the</strong> aggressive cohort (1220 μg/ml). Using apsa as an aggressiveness biomarker could<br />

result in many (22% in our study population) <strong>of</strong> <strong>the</strong> patients diagnosed with nonaggressive<br />

pca being able to avoid or delay radical prostatectomy.<br />

Source <strong>of</strong> funding: national institutes <strong>of</strong> health (grant #1r43ca156786-01).<br />

A-06<br />

A Highly Sensitive and Specific Method for Characterization <strong>of</strong><br />

Circulating Tumor Cell Subtypes in Breast Cancer Patients<br />

L. Millner, K. Goudy, T. Kampfrath, M. Linder, R. Valdes. University <strong>of</strong><br />

Louisville, Louisville, KY,<br />

Introduction: Circulating tumor cells (CTCs) are cells that detach from <strong>the</strong> primary<br />

tumor, intravasate into <strong>the</strong> bloodstream, invade distant tissues and produce metastatic<br />

lesions. In breast cancer patients, enumeration <strong>of</strong> CTCs in blood is used as an adjunct<br />

to assist in predicting overall survival and in clinical management. However, CTCs are<br />

phenotypically heterogeneous and <strong>the</strong> methods now available for counting <strong>the</strong>se cells<br />

are based on detection <strong>of</strong> <strong>the</strong> epi<strong>the</strong>lial marker, Epi<strong>the</strong>lial Cell Adhesion Molecule<br />

(EpCAM). Present methods do not distinguish subtypes and only detect epi<strong>the</strong>lialtype<br />

CTCs. This is significant because CTCs are known to experience epi<strong>the</strong>lial to<br />

mesenchymal transition (EMT), a process that results in increased motility and is<br />

associated with diease progression. Following EMT, a CTC may no longer express<br />

epi<strong>the</strong>lial markers such as EpCAM and evade detection by current methods.<br />

Objective: To establish a model using heterogeneous breast cancer cell lines and a<br />

method for capturing and characterizing distinct CTC subsets. This method should<br />

have high separation efficiency <strong>of</strong> subtypes, high recovery in spiked blood samples,<br />

and be capable <strong>of</strong> distinguishing heterogeneous subtypes independent <strong>of</strong> EMT status.<br />

Materials: We have established a breast cancer cell line panel including all 4 <strong>of</strong> <strong>the</strong><br />

breast cancer molecular subtypes including luminal, HER2, basal-like, and claudinlow.<br />

This model <strong>of</strong> 4 breast cancer cell lines was used to represent <strong>the</strong> heterogeneity<br />

in CTCs from a breast cancer patient and <strong>the</strong> plasticity in <strong>the</strong> EMT process. We have<br />

chosen to include 1 breast cancer cell line that does not express EpCAM (MDA-<br />

MB-231). The cell lines and <strong>the</strong>ir molecular subtypes include MCF-7 (luminal A),<br />

SK-Br-3 (HER2), MDA-MB-231 (claudin-low) and HCC1954 (basal-like) and<br />

each represents an identifiable subtype. 25,000 or 2,500 cells <strong>of</strong> each cell line were<br />

combined and <strong>the</strong>n identified using a combination <strong>of</strong> antibodies including HER2,<br />

EpCAM, and CD44. Experiments to determine separation efficiency and percent<br />

recovery were performed on <strong>the</strong> BD Accuri C6 flow cytometer. Results: The<br />

specificity (separation efficiency) for each subtype was determined to be 67.3% ± 7.1<br />

(±SE) (HCC1954), 91.7% ± 9.7 (MCF-7), 57.3% ± 8.7 (MDA-MB-231), and 100%<br />

± 19.0 (MCF-7). The overall separation efficiency was determined to be 79.4 ± 5.9%<br />

(± SE). Spiking experiments <strong>of</strong> a single mesenchymal cell line that does not express<br />

EpCAM were conducted in whole human blood, and a sensitivity (percent recovery)<br />

<strong>of</strong> 84.9 ± 14.6% (±SE) was achieved.<br />

Conclusion: High percent recovery <strong>of</strong> a spiked mesenchymal breast cancer cell<br />

line into whole blood was achieved. This method isn’t limited to cells that express<br />

EpCAM so CTCs that have undergone EMT are able to be detected. The combination<br />

<strong>of</strong> antibodies has high separation efficiency with 2 <strong>of</strong> <strong>the</strong> 4 cell lines. Enrichment<br />

processes and antibody selection are being optimized to improve specificity <strong>of</strong> all 4<br />

subtypes. This data indicates that phenotypically diverse CTCs are capable <strong>of</strong> being<br />

subtyped and characterized. Subtype characterization will allow <strong>the</strong>rapies to be<br />

individually tailored to address each patient’s own CTCs.<br />

Support: P30ES014443 and T32ES011564<br />

A-09<br />

SAP155-mediated c-myc suppressor FBP-interacting repressor splicing<br />

variants as colon cancer screening biomarkers<br />

K. Matsushita, S. Itoga, F. Nomura. Chiba University Graduate School <strong>of</strong><br />

Medicine, Chiba, Japan<br />

Background: The c-myc transcriptional suppressor, FUSE-binding protein (FBP)-<br />

interacting repressor (FIR), is alternatively spliced in colorectal cancer tissue.<br />

Recently, <strong>the</strong> knockdown <strong>of</strong> SAP155 pre-mRNA-splicing factor, a subunit <strong>of</strong> SF3b,<br />

was reported to disturb FIR pre-mRNA splicing and yielded FIRΔexon2, an exon2-<br />

spliced variant <strong>of</strong> FIR, which lacks c-myc repression activity.<br />

Methods: The expression levels <strong>of</strong> FIR variant mRNAs were examined in <strong>the</strong><br />

peripheral blood <strong>of</strong> colorectal cancer patients and healthy volunteers to assess its<br />

potency for tumor detection. As expected, circulating FIR variant mRNAs in <strong>the</strong><br />

PB <strong>of</strong> cancer patients were significantly overexpressed compared to that in healthy<br />

volunteers.<br />

Results: In this study, novel splicing variants <strong>of</strong> FIRs, Δ3 and Δ4, were also<br />

generated by SAP155 siRNA and those variants were also found to be activated in<br />

human colorectal cancer tissue. In particular, <strong>the</strong> area under <strong>the</strong> receiving operating<br />

characteristic curve <strong>of</strong> FIRs FIRΔexon2 or FIRΔexon2/FIR was greater than those <strong>of</strong><br />

conventional carcinoembryonic antigen (CEA) or carbohydrate antigen 19-9 (CA19-<br />

9). In addition, FIRΔexon2 or FIR mRNA expression in <strong>the</strong> peripheral blood was<br />

significantly reduced after operative removal <strong>of</strong> colorectal tumors.<br />

Conclusion: Circulating FIR and FIRΔexon2 mRNAs are potential novel screening<br />

markers for colorectal cancer testing with conventional CEA and CA19-9. Our results<br />

indicate that overexpression <strong>of</strong> FIR and its splicing variants in colorectal cancer<br />

directs feed-forward or addicted circuit c-myc transcriptional activation. Clinical<br />

implications for colorectal cancers <strong>of</strong> novel FIR splicing variants are also discussed.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A3


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Cancer/Tumor Markers<br />

A-10<br />

CA19.9 pr<strong>of</strong>ile in samples predating pancreatic cancer diagnosis -<br />

nested case control study in <strong>the</strong> UK Collaborative Trial <strong>of</strong> Ovarian<br />

Cancer Screening (UKCTOCS).<br />

W. Alderton 1 , S. Apostolidou 2 , M. Fisher 1 , A. Flynn 3 , A. Gentry- Maharaj 2 ,<br />

C. Hodkinson 1 , I. Jacobs 4 , U. Menon 2 , A. Ryan 2 , N. Sandanayake 2 , J.<br />

Timms 2 , J. Barnes 1 . 1 Abcodia Ltd, London, United Kingdom, 2 University<br />

College London, London, United Kingdom, 3 Exploristics Ltd, London,<br />

United Kingdom, 4 University <strong>of</strong> Manchester, Manchester, United Kingdom<br />

Background: Pancreatic cancer is <strong>the</strong> fifth most common cause <strong>of</strong> cancer death<br />

and has a 5-year survival rate <strong>of</strong> only 3%. It <strong>of</strong>ten has a very poor prognosis since<br />

it is commonly not diagnosed until it is at an advanced stage and <strong>the</strong> cancer has<br />

metastasized. CA19.9 is <strong>the</strong> most widely used biomarker as an aid to <strong>the</strong> clinical<br />

diagnosis <strong>of</strong> pancreatic cancer. There are currently no screening methods for <strong>the</strong><br />

early detection <strong>of</strong> pancreatic cancer. We explore CA19.9 levels prior to diagnosis<br />

<strong>of</strong> pancreatic ductal adenocarcinoma in a nested case control study set within<br />

UKCTOCS (1). The trial cohort <strong>of</strong> >202,000 apparently healthy postmenopausal<br />

women donated a single serum at recruitment. 50,000 women continued to donate<br />

serum samples annually. Samples were stored at -180oC. Cancer registry and postal<br />

follow up ensured that all women diagnosed with cancer following trial recruitment<br />

were identified.<br />

Methods: UKCTOCS volunteers provided detailed lifestyle and health data on entry<br />

and mid-way through <strong>the</strong> trial and fur<strong>the</strong>r data on <strong>the</strong>ir cancer diagnosis was obtained<br />

from <strong>the</strong>ir treating clinician. Cancer registration data was provided by <strong>the</strong> UK NHS<br />

Information Centre. Serum CA19.9 concentrations were determined in duplicate<br />

by electrochemiluminescence immunoassay on a Roche Elecsys 2010 system. A<br />

Student’s t-test was used to assess <strong>the</strong> significance <strong>of</strong> assay results comparing cases<br />

and controls (p


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

as identified by MARS. The importance <strong>of</strong> glycerol and ethanolamine in <strong>the</strong> HCC<br />

MARS metabolite panel points to a potential cancer-related variation in fatty acid<br />

metabolism.<br />

released using <strong>the</strong> on-membrane deglycosylation method and labeled and analyzed by<br />

fluorophore-assisted carbohydrate electrophoresis using a capillary electrophoresisbased<br />

ABI3130 sequencer.<br />

A-13<br />

Complete mitochondrial genome sequencing reveals association with<br />

acute myeloid leukemia<br />

J. Zhou, W. Wang, Y. Ye, X. Lu, B. Ying, L. Wang. West China Hospital,<br />

Sichuan University, Chengdu, China<br />

Background: To explore mitochondrial DNA variations in acute myeloid leukemia<br />

(AML) patients.<br />

Methods: Blood or bone marrow samples <strong>of</strong> 47 AML patients (20 M1 and 27 M2)<br />

who met with WHO diagnostic criteria and 40 age- and sex-matched healthy controls<br />

were collected. The whole mitochondrial genome was directly sequenced in 24<br />

overlapping fragments, <strong>the</strong>n spliced by DNAstar s<strong>of</strong>tware, and eventually compared<br />

with Cambridge reference sequence (CRS) using CodonCode Aligner s<strong>of</strong>tware.<br />

Results: A total <strong>of</strong> 639 variations were found, twenty eight <strong>of</strong> which have not been<br />

reported at www.mitomap.org and mtDB (www.genpat.uu.se/mtDB/). 224 variations<br />

were found only in patients, two <strong>of</strong> which were statistical significant, <strong>the</strong>y were<br />

T14200C (6/47, P=0.029) in ND6 region and C14929A (14/47, P=0.000) in CYTB<br />

region. We <strong>the</strong>n compared <strong>the</strong> frequencies <strong>of</strong> <strong>the</strong> rest variations between case and<br />

control groups, C6455T in COI region and T16297C in D-loop region were found<br />

to be associated with <strong>the</strong> risk <strong>of</strong> AML. People carrying C6455T mutation had a 5.8-<br />

fold risk <strong>of</strong> developing AML (95%CI: 1.203-28.0, P=0.016), and people carrying<br />

T16297C mutation had a 4.5-fold risk (95%CI: 0.911-22.21, P=0.048). Fur<strong>the</strong>rmore,<br />

we analyzed <strong>the</strong> relationship between <strong>the</strong> above four variations and clinical features,<br />

and found that C6455T, T16297C and C14929A occurred more frequently in M1<br />

patients than in M2 patients, and patients with <strong>the</strong>se variations had higher percentage<br />

<strong>of</strong> myeloblasts in <strong>the</strong> bone marrow and higher percentage <strong>of</strong> abnormal cells in blood,<br />

While T14200C showed <strong>the</strong> opposite results.<br />

Conclusion: C6455T, T16297C, C14929A and T14200C might be used as potential<br />

biomarkers for M1/M2 patients. Fur<strong>the</strong>r studies are needed to verify <strong>the</strong>se findings in<br />

ano<strong>the</strong>r large population, and <strong>the</strong> roles <strong>of</strong> <strong>the</strong> variations play in <strong>the</strong> pathogenesis <strong>of</strong><br />

AML remains to be explored.<br />

Table 1 Characteristics <strong>of</strong> <strong>the</strong> four positive-association variations from screening <strong>the</strong><br />

whole mitochondrial genome<br />

Position Base Case Control P-<br />

change N % N %<br />

OR(95%CI) Region Codon Amino Change<br />

value<br />

6455 C-T 11(4) # 23.40% 2 5.00% 0.016 5.806(1.203-28.0) COI 184 Phe-> Phe<br />

14200 T-C 6(5) # 12.77% 0 0.00% 0.029 / ND6 158 Trp -> Trp<br />

14929 C-A 14(14) # 29.79% 0 0.00% 0.000 / CYTB 61 Thr -> Thr<br />

16297 T-C 9(2) # 19.15% 2 5.00% 0.048 4.5(0.911-22.21) D-loop<br />

#<br />

The number inside <strong>the</strong> paren<strong>the</strong>ses presented <strong>the</strong> frequencies <strong>of</strong> heterozygote<br />

A-14<br />

Prostate proteins glycosylation pr<strong>of</strong>ile and its potential as a diagnostic<br />

biomarker for prostate cancer<br />

T. Vermassen 1 , N. Lumen 2 , C. Van Praet 2 , D. Vanderschaeghe 3 , N.<br />

Callewaert 3 , P. Hoebeke 2 , S. Van Belle 1 , S. Rottey 1 , J. R. Delanghe 4 .<br />

1<br />

Department <strong>of</strong> Medical Oncology, University Hospital Ghent, Ghent,<br />

Belgium, 2 Department <strong>of</strong> Urology, University Hospital Ghent, Ghent,<br />

Belgium, 3 VIB Department <strong>of</strong> Molecular Biomedical Research - Ghent<br />

University, Ghent, Belgium, 4 Department <strong>of</strong> Clinical Chemistry, University<br />

Hospital Ghent, Ghent, Belgium<br />

Introduction: Serum Prostate Specific Antigen (sPSA) is widely used for screening<br />

and early diagnosis <strong>of</strong> prostate cancer (PCa). This analysis is associated with<br />

considerable sensitivity and specificity problems especially in <strong>the</strong> diagnostic gray<br />

zone (sPSA between 4 and 10ng/ml). In urine, PSA is only detected in its free form<br />

with concentrations largely exceeding <strong>the</strong> values observed in serum or plasma.<br />

Because <strong>of</strong> aberrant glycosylation changes in tumorogenesis, we explored <strong>the</strong> use <strong>of</strong><br />

prostate proteins and its glycosylation pr<strong>of</strong>ile as a new biomarker for PCa.<br />

Materials and Methods: We determined standard biochemical markers (total<br />

urinary protein, albumin in urine, gamma-GT in urine, urinary total PSA, urinary<br />

free PSA and sPSA) in healthy volunteers (HV; n = 16), patients with BPH (n =<br />

39), PCa patients (n = 29) and prostatitis (n = 14). Urinary protein N-glycans were<br />

Results: None <strong>of</strong> <strong>the</strong>se markers was able to discriminate BPH from prostate<br />

cancer, except for sPSA. N-glycan pr<strong>of</strong>ile analyses have pointed out differences in<br />

<strong>the</strong> N-glycosylation patterns between BPH and PCa. The changes were associated<br />

with a decreased fucosylation <strong>of</strong> bi- and triantennary structures. This isolated test<br />

was not statistically better than sPSA measurement (AUC after ROC curve analysis:<br />

0.805 ± 0.056 and 0.737 ± 0.063 for sPSA screening and <strong>the</strong> glycosylation marker<br />

respectively). Logistic regression showed that <strong>the</strong> glycosylation marker gives an<br />

added value to sPSA screening: combining <strong>the</strong>se assays resulted in an AUC <strong>of</strong> 0.854<br />

± 0.049 for all patients.<br />

Conclusion: We have found a statistical significant difference in <strong>the</strong> urinary<br />

glycosylation patterns <strong>of</strong> patients with BPH versus PCa patients. These changes in<br />

N-glycosylation could lead to <strong>the</strong> discovery <strong>of</strong> a new biomarker for PCa, particularly<br />

in <strong>the</strong> diagnostic gray zone.<br />

A-15<br />

Fast Method for Classification Based on Coherent High Resolution<br />

XUV Scatter Images <strong>of</strong> Biologic Specimen<br />

M. Zürch 1 , S. Foertsch 2 , M. Matzas 2 , K. Pachmann 3 , R. Kuth 2 , C.<br />

Spielmann 1 . 1 Friedrich-Schiller-University Jena, Jena, Germany, 2 Siemens<br />

AG, Healthcare Sector, Erlangen, Germany, 3 University Hospital Jena,<br />

Jena, Germany<br />

Background: In cancer research and diagnostics <strong>the</strong> cell classification is currently<br />

done by classical PCR analysis. This procedure is time consuming and results will<br />

be <strong>of</strong>ten available only within a few days. For several reasons <strong>the</strong> need for faster<br />

and probably cheaper methods is obvious. Current research for realizing a faster<br />

discrimination concentrates on spectroscopic methods, e.g. Raman spectroscopy. In<br />

this contribution we will present a method relying on high resolution imaging based<br />

on coherent diffraction imaging <strong>of</strong> biological samples such as a single cell illuminated<br />

with coherent short wavelength light.<br />

Methods: Our experimental apparatus is based on a commercial ultra-short infrared<br />

laser system. With nonlinear methods we convert <strong>the</strong> visible light into laser-like<br />

light extreme ultraviolet (XUV) radiation in <strong>the</strong> range from 20 to 70 nanometers,<br />

whilst preserving <strong>the</strong> high spatial and temporal coherence. This XUV light source is<br />

used to illuminate different biologic specimen. In our recent experiments we choose<br />

four different single cells from <strong>the</strong> MCF7 and SKBR3 breast-cancer-cell-line cells,<br />

pipetted on a gold-coated fused silica slide. The cells were prepared in a PBS puffer,<br />

which remained on <strong>the</strong> sample holder after drying. It is worth to mention that no<br />

additional markers or staining is required. The recorded images <strong>of</strong> scattered XUV<br />

light from <strong>the</strong> samples contain <strong>the</strong> full spatial information (“2D fingerprint”) down to<br />

a feature size <strong>of</strong> roughly half <strong>of</strong> <strong>the</strong> XUV wavelength. From <strong>the</strong>se recorded diffraction<br />

patterns it is possible to reconstruct <strong>the</strong> real space image <strong>of</strong> <strong>the</strong> sample with <strong>the</strong> help <strong>of</strong><br />

well-established coherent diffraction imaging algorithms. However, <strong>the</strong>se algorithms<br />

are slow, limiting <strong>the</strong> throughput <strong>of</strong> <strong>the</strong> system. Since only classification is <strong>of</strong> interest<br />

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Cancer/Tumor Markers<br />

and not <strong>the</strong> actual image <strong>of</strong> <strong>the</strong> object, we studied and compared <strong>the</strong> scattering images<br />

<strong>of</strong> <strong>the</strong> mentioned cells directly and developed ma<strong>the</strong>matical methods to identify <strong>the</strong><br />

specimen. As a powerful and ra<strong>the</strong>r fast method, we opted for calculating <strong>the</strong> 2D<br />

cross-correlation <strong>of</strong> <strong>the</strong> scattering images.<br />

Results: As not entirely expected, <strong>the</strong> calculated peak values <strong>of</strong> <strong>the</strong> 2D crosscorrelations<br />

<strong>of</strong> <strong>the</strong> four recorded scatter images already allow <strong>the</strong> identification <strong>of</strong> <strong>the</strong><br />

different cell types. This is even more surprising, because <strong>the</strong> method is insensitive<br />

to <strong>the</strong> actual orientation <strong>of</strong> <strong>the</strong> cells on <strong>the</strong> substrate. 2D cross-correlation is only able<br />

to distinguish between shifts <strong>of</strong> <strong>the</strong> same image and not for rotation. Never<strong>the</strong>less we<br />

will work on <strong>the</strong> implementation <strong>of</strong> more sophisticated image comparison techniques,<br />

known from fingerprint or face detection, allowing a more reliable identification <strong>of</strong><br />

different cells.<br />

Conclusion: We have demonstrated a fast method for comparing scatter images from<br />

biologic specimens. We have been able to identify <strong>the</strong> cell types without extensive<br />

preparation methods such as staining. For fur<strong>the</strong>r exploration <strong>of</strong> this method, we will<br />

implement more sophisticated image comparison techniques for classifying a wider<br />

variety <strong>of</strong> cells. It is also worth to mention <strong>the</strong> method is not limited to cells, but could<br />

also be applied to e.g. bacteria or viruses.<br />

A-16<br />

Correlation between circulating tumor cells (CTC) counts and serum<br />

breast cancer tumor markers CA 27.29 and CEA levels and <strong>the</strong>ir value<br />

in time to progression (TTP) prediction in <strong>the</strong> metastatic breast cancer<br />

(MBC) patients under <strong>the</strong>rapy.<br />

D. M. Iancu, J. Becker, A. Hutson, C. Stone, B. Lynch, J. Citron, N.<br />

Watroba. Roswell Park Cancer Institute, Buffalo, NY<br />

Metastatic breast cancer (MBC) is <strong>the</strong> main cause <strong>of</strong> death from breast cancer.<br />

Treatment is palliative, but newer <strong>the</strong>rapies have improved survival. Current<br />

evaluation methods remain inadequate for assessment <strong>of</strong> prognosis.<br />

CTC detection in blood by CellSearch® technology (Veridex, Raritan NJ, USA) is<br />

reported to be a prognostic and predictive marker in MBC. The presence <strong>of</strong> ≥ 5 CTCs<br />

in 7.5mL <strong>of</strong> blood in women with MBC is associated with shorter progression free<br />

survival (PFS). Serum tumor markers CA 27.29 and CEA are used for monitoring<br />

<strong>the</strong>rapy in MBC. Few studies have looked at <strong>the</strong> correlation <strong>of</strong> CTC and tumor<br />

markers in MBC. This study is an IRB approved existing data review evaluating<br />

<strong>the</strong> correlation between CTC, CA 27.29 and CEA and how <strong>the</strong>y predict time to<br />

progression when used separately or toge<strong>the</strong>r. Additionally, it was asked whe<strong>the</strong>r<br />

values higher than 5 CTC would increase risk <strong>of</strong> progression <strong>of</strong> MBC. Data from<br />

Jan.2011 to Nov 31, 2012 was collected for patients with MBC when CTC, CA 27.29<br />

and CEA were performed. 84 CTC events were identified (N=17 range 1-13, median<br />

5). The estimated median time to progression was 84 days. Time to progression was<br />

assessed based on imaging progression indicated in clinical notes. Serum levels <strong>of</strong> CA<br />

27.29 and CEA are measures using automated chemiluminescent immunoassays on<br />

<strong>the</strong> Advia Centaur instrument (Bayer Diagnostics, East Walpole, MA). The Spearman<br />

rank correlation between baseline CTC and CA 27.29 was r = 0.30 (low). The rank<br />

correlation between baseline CTC and CEA was 0.23 (weak) and <strong>the</strong> rank correlation<br />

between baseline CA 27.29 and CEA was 0.53 (moderate).<br />

The association between CTC, CA 27.29, CEA values and change in <strong>the</strong> risk <strong>of</strong> disease<br />

progression was evaluated over time via a Cox regression model allowing for timevarying<br />

covariates in both univariate and multivariate models. For CTC <strong>the</strong> cut-<strong>of</strong>f <strong>of</strong><br />

5 (


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

were analysed by Freelite assay (The Binding Site Group Ltd, UK; FLC ratio normal<br />

range 0.26-1.65) and N Latex assay (Siemens, Germany; FLC ratio normal range<br />

0.31-1.56). The sensitivity and specificity <strong>of</strong> both assays were compared.<br />

Results: Freelite and N Latex provided concordant information in 344/390 (88%)<br />

patients. 308/344 (89%) patients had normal FLC ratios by both assays (Freelite:<br />

median 0.7, range 0.26-1.57; N Latex: median 0.58, range 0.33-1.49). The remaining<br />

36/344 (10%) patients had abnormal FLC ratios by both assays (Freelite: κFLC<br />

median 8.23, range 1.7-1531; λFLC median 0.01, range 0.0001-0.24; N Latex: κFLC<br />

median 3.88, range 1.84-191; λFLC median 0.01, range 0.0002-0.20). The clinical<br />

diagnoses <strong>of</strong> <strong>the</strong> 36 patients with abnormal FLC ratio by both assays were: 6 MM, 5<br />

LCMM, 1 cryoglobulinemia, 4 lymphoma, 1 plasmacytoma and 19 MGUS patients.<br />

Freelite was abnormal and N Latex was normal in 19 patients with haematological<br />

disorders (Freelite: κFLC median ratio 2.31, range 1.66-4.82; λFLC median 0.17,<br />

range 0.03-0.25; N Latex: median 1.09, range 0.35-1.55). 14/19 <strong>of</strong> <strong>the</strong>se patients were<br />

positive by SPEP (3 MM, 1 WM, 2 lymphoma, and 8 MGUS) and <strong>the</strong> remaining 5/19<br />

patients were negative by both SPEP and N Latex (1 patient subsequently diagnosed<br />

with WM, 4 MGUS). In contrast, N Latex identified 4 MGUS patients with positive<br />

SPEP and normal Freelite ratio (Freelite: median 0.75, range 0.65-0.95; N Latex:<br />

κFLC 1.88, λFLC median 0.15, range 0.12-0.28). Freelite was more sensitive and<br />

specific in identifying patients with hematological disorders and had a better positive<br />

(PPV) and negative (NPV) predictive value compared to N Latex (sensitivity 54%<br />

(95% CI 44-64%) v. 39% (CI 30-49%), specificity 98% (CI 95-99%) v. 94% (CI 91-<br />

96%), PPV 89% (CI 78-95%) v. 70% (CI 56-81%), NPV 86% (CI 81-89%) v 81% (CI<br />

77-85%); respectively).<br />

Discussion: In this study <strong>the</strong> Freelite assays had a greater sensitivity and specificity<br />

to identify patients with hematological disorders. Fur<strong>the</strong>rmore, this data continues to<br />

support <strong>the</strong> requirement for fur<strong>the</strong>r clinical evaluation <strong>of</strong> <strong>the</strong> N Latex test before it is<br />

used in routine practice and current guidelines for serum FLC measurement using N<br />

latex are not applicable at this time.<br />

A-20<br />

Development <strong>of</strong> automatic antigen excess detection parameters for<br />

immunoglobulin free light chain (Freelite®) assays on <strong>the</strong> Roche<br />

cobas® c501<br />

M. D. Coley, H. D. Carr-Smith, D. J. Matters, S. J. Harding, P. J. Showell.<br />

The Binding Site Ltd, Birmingham, United Kingdom<br />

International guidelines, based upon <strong>the</strong> Freelite® serum free light chain (FLC)<br />

assay recommends its use to aid in <strong>the</strong> diagnosis <strong>of</strong> patients with B cell disorders<br />

and to monitor patients with AL amyloidosis, non-secretory and light chain multiple<br />

myeloma. Immunoglobulin light chains are highly variable with over 480 different<br />

genetic combinations for lambda possible prior to antigen exposure. This inherent<br />

variability means <strong>the</strong>re is possibility <strong>of</strong> antigen excess even in multi-epitope<br />

recognising polyclonal antibody based assays. Here we describe <strong>the</strong> development <strong>of</strong><br />

automatic antigen excess protection for <strong>the</strong> Freelite assay (The Binding Site group<br />

Ltd) on <strong>the</strong> Roche cobas® c501. Reaction kinetics <strong>of</strong> monoclonal patient sera prone to<br />

antigen excess (5 kappa, mean c501 result 5,345.12mg/L, range 502.62-12,672.00mg/<br />

L, and 4 lambda, mean c501 result 4,046.5mg/L, range 1,590.00-6,213.00mg/L) and<br />

4 normal blood donor sera (mean kappa 10.51mg/L, range 9.14-13.18mg/L; mean<br />

lambda 11.41mg/L, range 10.90-12.14; mean ratio 0.93, range 0.79-1.21) were<br />

analysed to set threshold limits. Samples in antigen excess were typified by a high<br />

initial rate <strong>of</strong> reaction, which rapidly slowed as <strong>the</strong> detecting antibody became saturated<br />

(early delta OD 125.5, late delta OD 14.0). This is compared to non-antigen excess<br />

samples which showed a slower, more sustained rate <strong>of</strong> reaction throughout <strong>the</strong> assay<br />

time (early delta OD 28.0, late delta OD 38.7). Antigen excess capacity was validated<br />

using 67 normal blood donor serum, 68 kappa monoclonal and 33 lambda monoclonal<br />

patient sera which had been collected over a number <strong>of</strong> years and had previously been<br />

reported as having antigen excess on o<strong>the</strong>r analysers or assays. All samples tested<br />

(68/68 kappa, median 265.03mg/L, range 20.06-40,930.00mg/L, and 33/33 lambda,<br />

median 762.00mg/L, range 7.68-56,949.00mg/L) were correctly measured using <strong>the</strong>se<br />

parameters. We conclude that implementation <strong>of</strong> <strong>the</strong>se parameters will improve assay<br />

throughput and will prevent monoclonal patient samples from being mis-reported.<br />

A-21<br />

Validation <strong>of</strong> an automated immunoassay for <strong>the</strong> quantitative<br />

measurement <strong>of</strong> hemoglobin in stool<br />

J. Lu 1 , S. Clinton 2 , D. G. Grenache 2 . 1 ARUP Laboratories, Salt Lake City,<br />

UT, 2 University <strong>of</strong> Utah, Salt Lake City, UT<br />

Background: Fecal occult blood (FOB) has clinical utility as a colorectal cancer<br />

(CRC) screening test and has been shown to significantly reduce CRC mortality.<br />

Immunochemical detection <strong>of</strong> FOB (iFOB) is considered to be superior to guaiac<br />

tests, <strong>the</strong> latter <strong>of</strong> which are prone to false-positive results. iFOB requires no patient<br />

preparation or dietary restrictions before collection and is specific for human<br />

hemoglobin A (HbA).<br />

Objective: To validate <strong>the</strong> OC-Auto Micro 80 (Polymedco Inc. Cortlandt Manor, NY)<br />

immunoassay for <strong>the</strong> detection and measurement <strong>of</strong> HbA in stool.<br />

Methods: In accordance with manufacturer instructions, residual patient stool samples<br />

were extracted with a stabilizing buffer and <strong>the</strong> sample added to latex particles coated<br />

with anti-human HbA antibodies. Any HbA present in <strong>the</strong> sample binds to <strong>the</strong> beads<br />

resulting in an agglutination reaction and <strong>the</strong> change in optical density is directly<br />

proportional <strong>the</strong> HbA concentration. Analytical characteristics including linearity,<br />

precision, analytical sensitivity, analyte stability, and accuracy were determined.<br />

Results: Linearity was determined by adding diluted, lysed whole blood (HbA 16-<br />

909 ng/mL) to a set <strong>of</strong> five HbA-negative stool samples and testing each sample in 3<br />

replicates. Linear regression analysis produced a slope <strong>of</strong> 0.911 and a y-intercept <strong>of</strong><br />

-3.84. Precision was assessed by adding diluted, lysed whole blood to HbA-negative<br />

stool samples to prepare a set <strong>of</strong> 3 samples with different HbA concentrations. Each<br />

sample was tested in 3 replicates once per day for 10 days. Within-laboratory CVs<br />

were 14.1, 13.5 and 25.4% at HbA concentrations <strong>of</strong> 549.1, 93.9 and 33.6 ng/mL,<br />

respectively. The limit <strong>of</strong> blank was determined to be 1.0 ng/mL by measuring sample<br />

buffer in 10 replicates. Stability <strong>of</strong> stool samples in stabilizing buffer was evaluated<br />

by determining HbA in two sample pools with mean HbA concentrations <strong>of</strong> 559 and<br />

98 ng/ml at time 0, stored at ambient temperature and at 4 °C for 14 and 29 days,<br />

respectively, and <strong>the</strong>n tested in two replicates. In both pools, <strong>the</strong> change in HbA<br />

concentration was within 15% compared to time 0. 20 samples were tested for iFOB<br />

and by guaiac testing. 90% (9/10) <strong>of</strong> guaiac-negative samples had no detectable HbA<br />

by iFOB and 10% (1/10) had an HbA concentration <strong>of</strong> 517 ng/mL. 100% (10/10)<br />

<strong>of</strong> guaiac-positive samples had HbA detected by iFOB (range, 420-2,078 ng/mL).<br />

Recovery was evaluated by adding diluted, lysed whole blood to HbA-negative stool<br />

samples and <strong>the</strong> recoveries were 93 and 94% at <strong>the</strong> mean HbA concentrations <strong>of</strong> 465<br />

(n=4) and 94 (n=4) ng/mL.<br />

Conclusion: We have validated an automated immunoassay for <strong>the</strong> measurement <strong>of</strong><br />

fecal occult blood that provides high accuracy and specificity for HbA and does not<br />

require special dietary restrictions prior to sample collection.<br />

A-22<br />

Comparison <strong>of</strong> <strong>the</strong> analytical performance <strong>of</strong> polyclonal and<br />

monoclonal antibody based FLC assays in refractory multiple<br />

myeloma patients<br />

S. J. Harding 1 , R. Popat 2 , O. Berlanga 1 , H. Sharrod 1 , J. Cavenagh 2 , H.<br />

Oakervee 2 . 1 The Binding Site Ltd, Birmingham, United Kingdom, 2 St<br />

Bartholomew’s Hospital, London, United Kingdom<br />

Background: Current international guidelines for <strong>the</strong> identification <strong>of</strong> B cell disorders<br />

recommend a screening algorithm <strong>of</strong> serum protein electrophoresis and serum free<br />

light chain (FLC) testing based upon <strong>the</strong> polyclonal, multi-epitope Freelite® assay.<br />

A new monoclonal antibody (single epitope) based assay, N Latex FLC (Siemens,<br />

Germany) has been developed for measuring serum FLC levels. Here, we compare <strong>the</strong><br />

analytical performance <strong>of</strong> <strong>the</strong> two assays in a population <strong>of</strong> MM patients.<br />

Methods: Baseline sera from 91 refractory MM patients (26 IgGκ, 14 IgGλ, 5 IgAκ, 4<br />

IgAλ, 3 biclonal, 2 LC only; 13 IFE negative; 24 IFE not available; 52 males; median<br />

age 62 years (30-85)) were analysed for FLC levels by Freelite and N Latex FLC on<br />

<strong>the</strong> BN TM II nephelometer (Siemens, Germany). Reported values were compared using<br />

Passing-Bablok (PB) and linear regression (R 2 ) using Analyze-It s<strong>of</strong>tware; an R 2 ≥0.95<br />

was considered to be identical analyte measurement in keeping with CLSI guidelines.<br />

FLC ratio normal range by Freelite: 0.26-1.65; by N Latex FLC: 0.31-1.56.<br />

Results: In 21 patients with normal kappa/lambda FLC ratios by both assays showed<br />

moderate correlation for kappa FLC (PB: 3.18+0.65x; R 2 =0.92), with poor correlation<br />

for lambda FLC (PB: 0.20+1.04x; R 2 =0.47). Similarly, in 47 patients with an abnormal<br />

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kappa ratio by at least one assay showed moderate correlation (PB: -5.09+0.38x;<br />

R 2 =0.79), and in 23 patients with an abnormal lambda ratio by at least one assay<br />

<strong>the</strong>re was poor correlation (PB: 30.23+0.16x; R 2 =0.20). There were discordant FLC<br />

ratio results in 8(9%) patients. In 7/8 patients (4 FLC kappa patients identified by<br />

Freelite and 3 lambda patients identified by N Latex FLC) with discordant results <strong>the</strong><br />

kappa/lambda ratios were borderline, with slight monoclonal production and <strong>the</strong>refore<br />

<strong>of</strong> little concern. However, 1 IFE positive patient had 578mg/L kappa FLC and an<br />

abnormal kappa / lambda ratio (38.8) by Freelite and only 18mg/L with a normal<br />

kappa / lambda ratio (1.39) by N Latex FLC. Antigen excess (AgXS) was observed in<br />

3(3%) kappa samples by Freelite and 7(4 kappa, 3 lambda; 8%) samples by N Latex<br />

FLC. The median FLC values <strong>of</strong> <strong>the</strong> 3 samples in AgXS by Freelite at standard and<br />

1/2000 dilutions were 36.9(25.7-73.7) and 412.5(191-761.1) mg/L, respectively. The<br />

median FLC values <strong>of</strong> <strong>the</strong> 4 kappa samples in AgXS by N Latex FLC at standard and<br />

1/2000 dilutions were 19.1(12.2-40.5) and 143.2(83.6-184.4) mg/L, respectively. The<br />

median FLC values <strong>of</strong> <strong>the</strong> 3 lambda samples in AgXS by N Latex FLC at standard and<br />

1/2000 dilutions were 108.6(58.4-113.3) and 541.1(538.1-841.1) mg/L, respectively.<br />

Conclusion: Freelite and N Latex FLC assays do not report similar quantitative<br />

results and did not meet CLSI guidelines for <strong>the</strong> same analyte recognition. In addition,<br />

<strong>the</strong> N Latex FLC assay did not identify an IgGκ patient who was detected by <strong>the</strong><br />

Freelite assay. Both assays exhibit non-linearity and antigen excess, highlighting <strong>the</strong><br />

need for multiple dilutions when analysing a new patient.<br />

A-26<br />

OVA1 ® Specificity in Assessing Risk for Ovarian Malignancy Improved<br />

with IL-6<br />

K. Sisco, P. P. Chou. Quest Diagnostics Nichols Institute, Chantilly, VA<br />

Background: OAV1 (a trademark <strong>of</strong> Vermillion) is an FDA cleared IVDMIA used<br />

in <strong>the</strong> preoperative assessment for potential malignancy <strong>of</strong> patients presenting with<br />

an ovarian mass. It consists <strong>of</strong> five different analytes (beta-2 microglobulin, CA-125<br />

II, apolipoprotein A1, transthyretin and transferrin) which are combined to provide a<br />

score. This score has high sensitivity but low specificity for predicting <strong>the</strong> presence<br />

<strong>of</strong> malignancy. Adding Interleukin-6 (IL-6) to this score is shown to preserve <strong>the</strong> high<br />

sensitivity and increase <strong>the</strong> specificity.<br />

Methods: Thirteen patients who had undergone OVA1 assessment were also<br />

evaluated for IL6. Retrospective follow-up inquiries were made several months later<br />

to ascertain <strong>the</strong> final diagnoses. Fur<strong>the</strong>rmore, five pooled specimens from 126 patients<br />

with benign disease or malignancy were analyzed using OVA1 and IL6.<br />

Results: In this combined population, <strong>the</strong> sensitivity <strong>of</strong> OVA1 alone was 100%, with<br />

a specificity <strong>of</strong> 93%. IL6 alone had a sensitivity <strong>of</strong> 97% and a specificity <strong>of</strong> 99%. We<br />

propose an algorithm whereby an OVA1 score <strong>of</strong> 8.1 or more is assigned a “high risk<br />

<strong>of</strong> malignancy” without fur<strong>the</strong>r testing. OVA1 scores above <strong>the</strong> respective cut<strong>of</strong>fs for<br />

premenopausal (5.0) and postmenopausal women (4.4) will reflex to IL6; those with<br />

elevated IL6 levels are <strong>the</strong>n regarded as having a “high risk <strong>of</strong> malignancy.” Applied<br />

to this study, this new algorithm yields a sensitivity <strong>of</strong> 100% and a specificity <strong>of</strong> 98%.<br />

Conclusion: Combining OVA1 with IL6 improves specificity without compromising<br />

sensitivity. A high risk assessment would <strong>the</strong>n result in <strong>the</strong> patient being referred to a<br />

gynecologic oncologist for fur<strong>the</strong>r evaluation.<br />

Table 1. OVA1 and IL6 Results for Pooled Specimens and Individual Patients<br />

Patients Age OVA1 IL6 Diagnosis<br />

Pooled #1 2.3 2.7 Benign (19 patients)<br />

Pooled #2 1.9 3.4 Benign (25 patients)<br />

Pooled #3 2.1 3.7 Benign (32 patients)<br />

Pooled #4 1.7 4.7 Benign (20 patients)<br />

Pooled #5 5.3↑ 9.9↑ Malignant (30 patients)<br />

PatientA 46 9.7↑ 1,042.0↑ Malignant (Ovarian Malignancy, positive nodes)<br />

PatientB 26 8.0↑ a 1.8 Benign (Endometrioma <strong>of</strong> <strong>the</strong> ovary)<br />

PatientC 58 6.9↑ 40.7↑ Malignant (Ovarian cancer and renal cancer)<br />

PatientD 57 6.3↑ a 5.0 Benign (Hydrosalpinx)<br />

PatientE 90 8.2↑ 3.4 a Malignant (Metastatic esophageal adenocarcinoma)<br />

PatientF 75 8.2↑ a 5.0 Benign (Cystadenoma <strong>of</strong> <strong>the</strong> ovary)<br />

PatientG 46 3.5 2.0 Benign (Benign hemorrhagic ovarian cyst)<br />

PatientH 82 7.4↑ 8.7↑ Malignant (Anaplastic carcinoma)<br />

PatientI 67 9.1↑ 31.4↑ Malignant (Carcinomatosis)<br />

PatientJ 76 6.6↑ a 2.8<br />

Benign (No adnexal mass; benign endometrial<br />

biopsy)<br />

PatientK 46 5.1↑ a 0.9 Benign (Benign ovarian cyst)<br />

PatientL 56 7.9↑ 7.9↑ Benign (No ovarian mass; adenomyosis)<br />

PatientM 56 6.3↑ a 2.3 Benign (Clinically benign; lost to followup)<br />

Sensitivity 100% 97%<br />

Specificity 93% 99%<br />

OVA1 scores ≥5.0 (premenopausal) and ≥4.4 (postmenopausal) are associated with an<br />

increased risk <strong>of</strong> malignancy. The IL6 reference range is 0.31-5.00 pg/mL. Abnormally<br />

high results are indicated by an arrow.<br />

a<br />

Indicates discordance between OVA1 and/or IL6 results and <strong>the</strong> fi nal diagnosis.<br />

A-27<br />

A New Biomarker Panel To Predict Hepatocellular Carcinoma In<br />

Chronic Hepatitis C infected (HCV) Patients<br />

G. M. Mustafa 1 , j. R. petersen 1 , H. Ju 1 , L. Cicalese 1 , N. Synder 2 , S. J.<br />

Haidacher 1 , L. Denner 1 , C. Elferink 1 . 1 University <strong>of</strong> Texas Medical Branch<br />

,Galveston, Galveston, TX, 2 Kelsey Seybold clinic, Houston, TX<br />

Background: hepatocellular carcinoma (HCC) is <strong>the</strong> most common primary liver<br />

cancer, ranking 6 th among cancers as a cause <strong>of</strong> death. The projected rise in HCC<br />

cases in <strong>the</strong> US is mainly due to HCV infections with onset <strong>of</strong> HCC coming several<br />

decades after initial infection. The poor prognosis is due late stage diagnosis making<br />

successful intervention difficult. Although AFP is used for screening, it is <strong>of</strong>ten normal<br />

or indeterminate in early cancer cases. The goal <strong>of</strong> clinical proteomics has been to<br />

find an indicator (biomarker) to allow detection at an early stage when <strong>the</strong>rapeutic<br />

intervention may be possible. Thus, our aim is to identify serum based biomarkers<br />

suitable for early HCC detection that will provide a sensitive yet specific screen.<br />

Methods: Serum was obtained from individuals positive for HCV who were clinically<br />

diagnosed with liver disease (pre-HCC) or HCC. All patients were free <strong>of</strong> co-infection<br />

with HIV/HBV and had a history <strong>of</strong> low alcohol consumption negating potential<br />

confounding risk factors. For serum fractionation we used aptamer based technology<br />

(Bio-Rad) which reduces <strong>the</strong> dynamic range while retaining <strong>the</strong> complexity <strong>of</strong> <strong>the</strong><br />

serum peptidome without losing any important information. The fractionated serum<br />

was resolved using 2D-DIGE (12 HCV and 12 HCC) and <strong>the</strong> fluorescent signatures<br />

captured using GE Typhoon Trio Imager. HCV and HCC pr<strong>of</strong>iles were compared<br />

using DeCyder and statistically significant signature peptides selected for fur<strong>the</strong>r<br />

analysis. O 18 /O 16 labeling was used to verify <strong>the</strong> identity <strong>of</strong> proteins co-migrating on<br />

2D-DIGE and to help in development <strong>of</strong> Selected Reaction Monitoring assays (SRM).<br />

50 human serum samples (24HCV and 26 HCC) were used to quantify <strong>the</strong> candidate<br />

biomarker using labeled internal standards (AQUA peptides).<br />

Results: HCV and HCC samples labeled with cy3 and cy5 were combined with a<br />

cy2 labeled internal standard and separated on 2D-gels revealing 24 differentially<br />

expressed protein spots that were statistically different (p30%. This was fur<strong>the</strong>r verified and validated on<br />

24 HCV and 26 HCC samples by western blotting.<br />

Conclusion: Using SRM assays we are in <strong>the</strong> process <strong>of</strong> verifying <strong>the</strong> o<strong>the</strong>r biomarkers<br />

in our list. Once verified we plan to perform a larger validation study using samples<br />

archived with NCI early detection research network (EDRN) specifically designed for<br />

such validation studies.<br />

A-28<br />

High-Risk Human Papillomavirus 18 in Two Nasopharyngeal<br />

Carcinoma Cell Lines<br />

S. B. Zhang 1 , T. Hollen 1 , W. Lv 2 , J. Hong 2 , K. Raisch 1 , Y. Li 1 , A. Zhang 3 , M.<br />

Zhang 1 , L. Huang 1 , A. Zhang 1 , S. Yang 1 , Z. Zhang 1 , L. Zhang 1 , P. Okunieff 1 .<br />

1<br />

University <strong>of</strong> Florida, Gainesville, FL, 2 Fujian Medical University,<br />

Fuzhou, China, 3 DiaCarta, Inc., Hayward, CA<br />

Background: Nasopharyngeal carcinoma (NPC), a head and neck cancer that is most<br />

prevalent in Sou<strong>the</strong>ast Asia, <strong>the</strong> Middle East, and North Africa, is associated with<br />

Epstein-Barr viral infections (Xia, 2009). However, human papillomavirus (HPV),<br />

which is a major cause <strong>of</strong> oropharyngeal carcinoma, has also been implicated as an<br />

NPC etiologic agent. Two Epstein-Barr virus-negative NPC cell lines (CNE-1 and<br />

A8 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

CNE-2) have been widely studied over <strong>the</strong> past decade due to <strong>the</strong>ir different levels<br />

<strong>of</strong> radiosensitivity. CNE-1 cells have high differentiation with a radiosensitive<br />

phenotype, whereas CNE-2 cells have low differentiation with a radioresistant<br />

phenotype.<br />

Methods/Results: We found that CNE-1 and CNE-2 cells were infected with highrisk<br />

HPV 18. To our knowledge, no o<strong>the</strong>r report links CNE-1 and CNE-2 to HPV<br />

infection. Our studies showed that relative copy number in CNE-1 is lower than in<br />

CNE-2 (0.448 vs. 0.831, respectively). Their copy numbers were higher than those<br />

found in cervical cancer C-4 II cells infected with HPV 18 (0.199). Our studies<br />

detected 2 HPV oncogenes, E6 and E7 mRNA, in <strong>the</strong> CNE-1 and CNE-2 cell lines.<br />

Independent <strong>of</strong> cell lines, <strong>the</strong> E6 mRNA level was significantly higher than <strong>the</strong> E7<br />

mRNA level. The relative E6/E7 mRNA in CNE-1 was significantly higher than in<br />

CNE-2. Although no significant differences between E6 and E7 mRNA levels in CNE-<br />

1 and C-4 II were found, <strong>the</strong> E6 and E7 mRNA levels in CNE-2 were significantly<br />

lower than in C-4 II. Mitochondrial DNA plays a key role in intrinsic sensitivity to<br />

radiation. We found that <strong>the</strong> relative mtDNA copy number (mtDNA/nDNA ratio) in<br />

CNE-1 was significantly lower than in CNE-2 (1 vs. 2.92, respectively). A similar<br />

trend in mtDNA mutation (4,977-bp common deletion) was also found; <strong>the</strong> relative<br />

mitochondrial common deletion in CNE-1 was significantly lower than in CNE-2 (1<br />

vs. 4.25, respectively). These results were confirmed by real-time polymerase chain<br />

reaction (RT-PCR) and branched DNA methods (QuantiVirus® HPV Detection Kit,<br />

DiaCarta, Hayward, CA).<br />

Conclusion: HPV may be <strong>the</strong> etiologic factor in some Epstein-Barr virus-negative<br />

NPC cases. Fur<strong>the</strong>r studies are warranted. Moreover, our studies also showed that<br />

mitochondrial DNA may be responsible for <strong>the</strong> difference in radiosensitivity between<br />

CNE-1 and CNE-2.<br />

A-29<br />

Molecular characterization <strong>of</strong> FLT3 mutations in Acute Myeloid<br />

Leukemia from Pakistan with different FAB subtypes<br />

M. Faiz, M. Ishfaq, T. Bashir, A. Shahid. Institute <strong>of</strong> Nuclear Medicine and<br />

Oncology, Lahore, Pakistan<br />

Introduction: FLT3 mutations are common genetic changes reported to have<br />

prognostic significance in acute myeloid leukemia (AML). Methods: Peripheral<br />

blood samples <strong>of</strong> 94 AML Pakistani patients were collected to determine FLT3<br />

internal tandem duplication (ITD) incidence by PCR in exons 14 and 15 <strong>of</strong> FLT3<br />

gene and D835 activating mutation in <strong>the</strong> tyrosine kinase domain (TKD) on isolated<br />

DNA stored at -20oC. Results: Among 94 AML patients, 60 were males and 34<br />

were females with male to female ratio 2:1. The age ranged between 15 to 78 years<br />

with a median age <strong>of</strong> 32 years. Among 81 patients whose FAB subtype was known,<br />

AML-M2 was <strong>the</strong> predominant subtype (37%) followed by M4 (23.5%), M3(15%),<br />

M1 (11%), M5 (11%), M6 (2.5%) . The incidence <strong>of</strong> FLT3/ITD and TKD was 22%<br />

and 6.3% respectively. Majority <strong>of</strong> <strong>the</strong> FLT3/ITD mutation was most common in<br />

AML-M4 (63%) patients while D835 mutation was found in FAB M1, M2. Presence<br />

<strong>of</strong> mutation was not related to gender or age. However, presence <strong>of</strong> FLT3/ITD was<br />

clearly associated with hyperleukocytosis. No significant relationship was found<br />

between clinical features and FLT3/ITD positivity. Conclusion: FLT3/ITD mutation<br />

was common genetic abnormality found in Pakistani AML patients and unfavorable<br />

prognostic marker that should be included in molecular diagnostic testing <strong>of</strong> AML.<br />

Moreover, effective <strong>the</strong>rapy with FLT3 targeting agents may be considered to improve<br />

<strong>the</strong> prognosis in patients.<br />

A-30<br />

Restoration <strong>of</strong> miR-638 induces SPC-A1 cells apoptosis via down<br />

regulation <strong>of</strong> HGF<br />

S. Pan, Y. Cao, J. Xu, B. Zhang, J. Ma, E. Xie, D. Chen, L. Gao, Y. Zhang.<br />

The fi rst clinical medical college, Nanjing, China<br />

Background: Aberrant expression <strong>of</strong> miRNAs has been correlated with various<br />

human diseases including cancers, and this small non-coding RNA has been identified<br />

which have oncogenic or tumor suppressor properties Emerging evidence showed that<br />

miRNAs are important regulators in cancer cell proliferation, apoptosis, metastasis,<br />

chemosensitivity and so on. In <strong>the</strong> previous study, we produced a monoclonal<br />

antibody designed NJ001, which exhibited its anti-tumor activity both in vitro and in<br />

vivo by inducing apoptosis. This study was aimed to investigate <strong>the</strong> role <strong>of</strong> miRNAs<br />

in SPC-A1 cells undergoing apoptosis following treatment with NJ001 and find <strong>the</strong><br />

pro-apoptosis miRNA in tumor cells for fur<strong>the</strong>r study on cancer <strong>the</strong>rapy.<br />

Methods: Affymetrix GeneChip® miRNA 2.0 Array was performed to acquire<br />

dynamic miRNA expression pr<strong>of</strong>ile <strong>of</strong> SPC-A1 after treatment with NJ001.<br />

Quantitative real-time-PCR was carried out to validate <strong>the</strong> results <strong>of</strong> microarray<br />

approach. After that, we used Cluster Analysis <strong>of</strong> up-regulated expression in SPC-A1<br />

incubated with NJ001 to focus interesting miRNA. In <strong>the</strong> gain <strong>of</strong> function study,<br />

Images <strong>of</strong> CY-3 labeled miRNA mimics and qRT-PCR was used to confirm augmented<br />

expression. After successfully over-expression <strong>of</strong> miRNA, double staining with FITC-<br />

Annexin V and PI was carried out to evaluate <strong>the</strong> apoptosis rate. Members in apoptosis<br />

pathway were detected by western blot. We used five programs_miRanda, miRDB,<br />

miRWalk, RNA22 and Targetscan_to predicte targets <strong>of</strong> miR-638. The wild-type and<br />

mutation-type 3’-UTRs <strong>of</strong> <strong>the</strong>se potential targets were cloned into <strong>the</strong> PGL4 plasmid<br />

and dual-luciferase assays was carried out after co-transfection miRNAs and reporter<br />

plasmids into SPC-A1 cells to evaluate <strong>the</strong> changes <strong>of</strong> luciferase activity. Changes<br />

<strong>of</strong> mRNA levels and protein levels <strong>of</strong> target genes were confirmed by qRT-PCR and<br />

western blot respectively.<br />

Results: After treatment with NJ001, The high percentage <strong>of</strong> Annexin V + cells in<br />

NJ001 groups was observed at 24 h, 48 h and 72h compared to cells in <strong>the</strong> control<br />

groups (44.3%, 74.0% and 81.4% vs. control respectively, P < 0.05 for all time points).<br />

The expression <strong>of</strong> miR-638 was <strong>the</strong> first to show a significant change and found to<br />

be dynamically increased accompanied with <strong>the</strong> climbing apoptosis rate according<br />

to <strong>the</strong> result <strong>of</strong> Cluster Analysis <strong>of</strong> microarray approach. In addition, we observed<br />

that miR-638 is significantly suppressed in SPC-A1 when compared with human<br />

embryonic lung fibroblast (HFL-1) and functional studies indicated over-expression<br />

<strong>of</strong> miR-638 positively regulated <strong>the</strong> apoptosis <strong>of</strong> SPC-A1 through both extrinsic and<br />

intrinsic pathway via activating caspase 8, caspase 9, caspase 3 and shifting <strong>the</strong> bax/<br />

bcl-2 ratio. By transcriptomic analysis and computational algorithms, we identified<br />

<strong>the</strong> anti-apoptotic protein hepatocyte growth factor (HGF) as a target gene <strong>of</strong> miR-<br />

638. Dual-luciferase reporter assay confirmed that miR-638 negatively regulated HGF<br />

by interaction between miR-638 and complementary sequences in <strong>the</strong> 3’ UTR <strong>of</strong> HGF.<br />

MiR-638 repressed HGF at post-transcriptional levels as revealed by quantitative RT-<br />

PCR and Western blot analysis.<br />

Conclusion: In summary, our findings demonstrate that miR-638 has a critical role in<br />

regulating apoptosis <strong>of</strong> SPC-A1 cells, implying <strong>the</strong> function <strong>of</strong> miR-638 as a putative<br />

tumor suppressors miRNA and provide a basic rationale for <strong>the</strong> use <strong>of</strong> miR-638 in <strong>the</strong><br />

treatment <strong>of</strong> NSCLC.<br />

A-31<br />

NJ001 antibody specific antigen is <strong>the</strong> key molecule for outcome<br />

evaluation <strong>of</strong> lung adenocarcinoma patients<br />

P. Huang, Y. Han, F. Wang, R. Yang, L. Zhang, T. Xu, Q. Li, H. Wang, S.<br />

Pan. The fi rst clinical medical college, Nanjing, China<br />

Objective: To evaluate <strong>the</strong> relationship between NJ001 specific antigen and<br />

clinicopathological features, so as to fur<strong>the</strong>r explore its role in <strong>the</strong> prognosis <strong>of</strong> lung<br />

adenocarcinoma.<br />

Methods: The expression <strong>of</strong> NJ001 specific antigen was examined by means <strong>of</strong> <strong>the</strong><br />

envision system immunohistochemical staining with monoclonal antibody NJ001 in<br />

110 lung adenocarcinoma and 46 benign lung disease, as well as a tissue microarray<br />

(TMA) containing 75 lung adenocarcinoma and <strong>the</strong> adjacent normal tissue.<br />

Immunohistochemistry results were reckoned by multiplication <strong>of</strong> <strong>the</strong> percentage and<br />

staining intensity <strong>of</strong> positive tumor cells. Then we evaluated <strong>the</strong> associations <strong>of</strong> <strong>the</strong><br />

antigen expression with several clinicopathologic parameters. Overall survival rates<br />

were determined by using <strong>the</strong> Kaplan-Meier method with log-rank test for comparison<br />

among groups with different expression <strong>of</strong> <strong>the</strong> specific antigen.<br />

Results: We observed that NJ001 specific antigen was predominantly located on <strong>the</strong><br />

cell membrane and in <strong>the</strong> cytoplasm <strong>of</strong> tumor cells. The positive rate was respectively<br />

84.70% in lung adenocarcinoma, 8.22% in <strong>the</strong> adjacent normal tissue and 8.70% in<br />

benign lung disease. The specific antigen expression in lung adenocarcinoma was<br />

significantly associated with <strong>the</strong> poor and moderate differentiation grade <strong>of</strong> <strong>the</strong> tumor<br />

(P= 0.017) and lymph node metastasis (P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Cancer/Tumor Markers<br />

A-33<br />

Significance <strong>of</strong> Angiopoietin-2 as a Serum Marker for Hepatocellular<br />

Carcinoma<br />

F. M. El Shanawani, M. M. Hasan. Theodor Bilharz Research Institute,<br />

Cairo, Egypt<br />

Background: and study aims: Hepatocellular carcinoma (HCC) is one <strong>of</strong> <strong>the</strong> most<br />

common malignancies worldwide and one <strong>of</strong> <strong>the</strong> major causes <strong>of</strong> death. The aim <strong>of</strong><br />

this study was to investigate <strong>the</strong> potential role <strong>of</strong> Angiopoietin-2 as a non-invasive<br />

marker for HCC. Patients and Methods: This study was conducted on 30 patients<br />

with documented HCC and 30 cirrhotic patients with no evidence <strong>of</strong> HCC; as well<br />

as 30 healthy subjects who served as control group. The levels <strong>of</strong> alfa fetoprotein<br />

(AFP) and angiopoietin-2 (Ang-2) were measured for all cases toge<strong>the</strong>r with full<br />

clinical assessment, liver biochemical pr<strong>of</strong>ile, viral markers, ultrasound, abdominal<br />

triphasic computerized tomography (CT) scan and guided liver biopsy for HCC<br />

cases with atypical triphasic CT pattern. Results: There was a statistically highly<br />

significant elevation (p< 0.001) in <strong>the</strong> mean serum AFP in HCC group (155.5 ± 271.5<br />

ng/ml) when compared with <strong>the</strong> control group (6.3 ± 2.4 ng/ml) and also a highly<br />

significant elevation (p


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-36<br />

Comparison <strong>of</strong> polyclonal antibody assay for <strong>the</strong> quantification <strong>of</strong><br />

serum free light chain (Freelite) with a new monoclonal antibody<br />

based test (N Latex FLC)<br />

J. García de Veas Silva, C. Bermudo Guitarte, M. Perna Rodríguez, C.<br />

González Rodríguez. Department <strong>of</strong> Clinical Biochemistry, Hospital<br />

Universitario Virgen Macarena, Sevilla, Spain<br />

Background: quantification <strong>of</strong> serum free light chains (FLCs) is used in <strong>the</strong> diagnosis,<br />

monitoring and prognosis in patients with monoclonal gammopathies. Freelite TM has<br />

become an essential assay in <strong>the</strong> diagnosis and monitoring <strong>of</strong> patients with monoclonal<br />

gammopathies and this assay has been accepted in international guidelines. Recently,<br />

immunoassays using monoclonal antibodies against FLCs have become commercially<br />

available. These new serum assays for automated measurements are commercially<br />

available but <strong>the</strong> technical performances <strong>of</strong> <strong>the</strong>se assays are in discussion.<br />

Methods: <strong>the</strong> new N Latex FLC nephelometric assay (Siemens Healthcare<br />

Diagnostics) based on monoclonal antibodies was compared with <strong>the</strong> Freelite TM<br />

turbidimetric assay (The Binding Site) based on polyclonal antibodies in 94 patients<br />

with monoclonal gammopathies (34 intact immunoglobulin multiple myeloma, 6<br />

light chain multiple myeloma and 54 monoclonal gammopathies <strong>of</strong> undetermined<br />

significance). Spearman´s coefficient <strong>of</strong> correlation was used to study <strong>the</strong> correlation<br />

between <strong>the</strong> methods. The evaluation and concordance between <strong>the</strong> methods was<br />

studied using <strong>the</strong> Bland-Altman regression and <strong>the</strong> Passing & Bablok plot. A p value<br />


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Cancer/Tumor Markers<br />

<strong>of</strong> <strong>the</strong> Cables 1 promoter. To evaluate <strong>the</strong> Cables 1 promoter regulation more closely<br />

we made firefly luciferase Cables 1 promoter reporter constructs and evaluated Cables<br />

1 promoter activity in several ovarian carcinomas derived cell lines and in a cell line<br />

derived from an ovarian metastasis <strong>of</strong> colorectal cancer.<br />

Methods: Different length fragments <strong>of</strong> <strong>the</strong> 5’flanking region <strong>of</strong> Cables 1 gene<br />

through <strong>the</strong> translation initiation ATG codon were PCR-amplified from human<br />

genomic DNA. These Cables 1 promoter regions were cloned into a luciferase reporter<br />

vector. Ovarian carcinoma derived cell lines JHOS-2 and OVK18, and HSKTC, a<br />

cell line derived from ovarian metastasis <strong>of</strong> colorectal cancer, were obtained from<br />

<strong>the</strong> Riken BRC cell bank with MTA. Cells were co-transfected with firefly luciferase<br />

reporter and renilla luciferase control reporter vector, <strong>the</strong>n stimulated by Estradiol<br />

(E2), Progesterone (P4), Phorbol12-Myristate13-acetate (PMA), cyclic AMP (cAMP)<br />

or Forskolin for 48hours. Luciferase assays were performed using <strong>the</strong> dual-luciferase<br />

reporter assay system.<br />

Results: Cables 1 promoter activity was detected in all cell lines using a construct<br />

that included 2000 bp upstream <strong>of</strong> ATG codon. There was no significant promoter<br />

activity stimulation by E2, P4 and PMA in any <strong>of</strong> three cell lines. JHOS-2 and OVK18<br />

cell lines were also not affected by cAMP and Forskolin. However in HSKTC,<br />

cAMP stimulated Cables 1 promoter activity about two fold higher than control and<br />

Forskolin stimulated Cables 1 promoter activity about five fold higher than control.<br />

Forskolin is known to stimulate intracellular accumulation <strong>of</strong> cAMP and this in turn<br />

may be <strong>the</strong> cause <strong>of</strong> stimulation <strong>of</strong> Cables 1 promoter activity in response to Forskolin<br />

in <strong>the</strong> HSKTC.<br />

Conclusion: These experiments suggest that Cables 1 promoter regulation mechanism<br />

depends on <strong>the</strong> cell type and may be dictated by differences in underlying epigenetic<br />

modulation <strong>of</strong> <strong>the</strong> Cables 1 promoter. The mechanism <strong>of</strong> cAMP regulation <strong>of</strong> Cables<br />

promoter is not clear because <strong>the</strong>re is no canonical CRE in this region <strong>of</strong> <strong>the</strong> promoter.<br />

Ovarian carcinoma is difficult to detect by clinical laboratory test and <strong>of</strong>ten develops<br />

chemoresistance. Future experiments will continue to define <strong>the</strong> regulation <strong>of</strong> Cables<br />

1 promoter, which may help predict better treatment or early diagnostics <strong>of</strong> ovarian<br />

carcinoma.<br />

Acknowledgement: These studies were supported in part by Grant-in-Aid for<br />

<strong>Scientific</strong> Research C, JSPS KAKENHI Grant Number 23590695 (HS).<br />

A-43<br />

Validation <strong>of</strong> a new highly sensitive thyroglobulin immunoassay (hTg<br />

sensitive) on <strong>the</strong> Thermo <strong>Scientific</strong> B·R·A·H·M·S KRYPTOR platform<br />

E. Thomas 1 , A. Algeciras-Schimnich 2 , C. M. Preissner 2 . 1 Research and<br />

Development, Therm<strong>of</strong>i sher Scientifi c, Nîmes, France, 2 Department <strong>of</strong><br />

Laboratory Medicine and Pathology, MAYO Clinic, Rochester, MN<br />

Differentiated thyroid cancer (DTC), <strong>the</strong> most common endocrine malignancy, is a<br />

highly curable disease with 5-year survival rates in excess <strong>of</strong> 95%. Treatment for<br />

DTC typically involves thyroidectomy followed by, in certain cases, radioactive<br />

iodine ablation, as well as thyroid-stimulating hormone (TSH) suppression. Serum<br />

thyroglobulin (Tg) measurement is a cornerstone <strong>of</strong> post-operative monitoring and<br />

long-term surveillance <strong>of</strong> DTC patients. However, serum thyroglobulin measurement<br />

remains technically challenging due to various degrees <strong>of</strong> assay sensitivity, betweenmethod<br />

variability, and Tg autoantibody (TgAb) interference, among o<strong>the</strong>rs. Thermo<br />

<strong>Scientific</strong> B·R·A·H·M·S hTg sensitive KRYPTOR ® is a new human Tg immunoassay<br />

available on <strong>the</strong> KRYPTOR compact PLUS with an automated recovery test. The<br />

assay is calibrated against <strong>the</strong> reference standard CRM457 and uses Time Resolved<br />

Amplified Cryptate Emission (TRACE) technology, based on a non-radiative transfer<br />

between 2 fluorophores, terbium chelate and cyanin 5.5. Sample volume and incubation<br />

time are 70 μl and 59 minutes, respectively. The direct measuring range <strong>of</strong> <strong>the</strong> assay<br />

is 0-200 ng/mL but samples up to 200,000 ng/mL can be measured without operator<br />

intervention by use <strong>of</strong> automatic out-<strong>of</strong>-range detection and dilution. Linearity was<br />

validated through <strong>the</strong> entire measuring range by diluting a sample (200,000 ng/mL)<br />

down to <strong>the</strong> LOQ; <strong>the</strong> mean bias obtained was 6.4%. Automatic dilutions performed<br />

on KRYPTOR compact PLUS have recoveries between 81 and 106%. Assay<br />

imprecision was evaluated following CLSI EP5-A2 (3 reagent lots, 2 instruments,<br />

20 days). The intra and inter-assay coefficients <strong>of</strong> variation were 18.6% and 19.8%<br />

at 0.15 ng/mL; 9.7% and 10.7% at 0.29 ng/mL; 2.4% and 5.1% at 1.1 ng/mL and<br />

1.5% and 4.6% at 129 ng/mL. The functional assay sentivity, <strong>the</strong> limits <strong>of</strong> detection<br />

(LOD) and quantitation (LOQ) were 0.15, 0.09 and 0.17 ng/mL, respectively, based<br />

on CLSI EP17-A procedures. The assay was compared to <strong>the</strong> Access Thyroglobulin<br />

assay (Beckman Coulter) (n=89, range 0.1 – 193 ng/mL). The Spearman correlation<br />

coefficient was 0.99 with a slope <strong>of</strong> 0.86 and intercept <strong>of</strong> 0.01 by Passing-Bablock<br />

regression fit. There were 53 samples with negative anti-Tg antibodies concentration<br />

(< 22 IU/mL using <strong>the</strong> Roche Elecsys anti-Tg assay), <strong>the</strong> automatic recoveries<br />

were all above 100% (range 102-127%); while in 36 samples with positive anti-Tg<br />

antibodies concentration (>22 IU/mL), <strong>the</strong> recoveries were between 68- 126%. The<br />

B·R·A·H·M·S hTg sensitive KRYPTOR assay is a new highly sensitive automated<br />

thyroglobulin assay proven to provide reliable results for <strong>the</strong> management <strong>of</strong> thyroid<br />

cancer patients and early detection <strong>of</strong> recurrences.<br />

A-44<br />

Comparison <strong>of</strong> responses assigned using immunoglobulin heavy/light<br />

chain (IgA-kappa / IgA-lambda) ratios to international myeloma<br />

working group response criteria<br />

P. Young, H. Sharrod, R. Hughes, H. Carr-Smith, S. J. Harding. The Binding<br />

Site Group Ltd, Birmingham, United Kingdom<br />

Background: Quantification <strong>of</strong> monoclonal immunoglobulins (M-Ig) by serum<br />

protein electrophoresis is required to assign responses, and as an indication <strong>of</strong> relapse<br />

in multiple myeloma (MM) patients, with imun<strong>of</strong>ixation (IFE) being required to type<br />

and assign a complete response in SPEP negative patients. Whilst <strong>the</strong>se measurements<br />

are suitable for assessment<br />

<strong>of</strong> gross M-Ig production <strong>the</strong>y are limited when, for instance, <strong>the</strong> M-Ig co-migrates<br />

with o<strong>the</strong>r proteins when analysed by SPEP or when <strong>the</strong>re is a broad migration when<br />

analysed by IFE. When SPEP is non-quantifiable total IgA (tIgA) is recommended as<br />

a quantitative alternative for M-Ig monitoring, however, as tIgA cannot distinguish<br />

between M-Ig and polyclonal background, it over-estimates M-Ig levels. Novel<br />

nephelometric assays that quantify IgAκ & IgAλ (heavy/light chain; HLC) have been<br />

developed. Here, we compare IgA HLC and SPEP/tIgA measurements and assess<br />

changes in HLC ratio (IgAκ/IgAλ; HLCr) as a method <strong>of</strong> monitoring IgA MM patients.<br />

Methods: IgAκ HLC (normal range: 0.48-2.82) IgAλ HLC (0.36-1.98) and HLCr<br />

(0.80-2.04) were measured in 60 serial samples from 21 (14 IgAκ; 7 IgAλ) IgA MM<br />

patients to identify HLCr change cut-<strong>of</strong>fs that could be used to define responses; <strong>the</strong>se<br />

cut-<strong>of</strong>fs were <strong>the</strong>n validated in 272 serial samples from 65 (40 IgA κ; 25 IgA λ) MM<br />

patients. HLCr responses were compared with IMWG responses in two ways: 1)<br />

responses were dichotomized into response (CR, VGPR and PR) v no response (SD<br />

and PD) and sensitivity, specificity, PPV and NPV were calculated for HLCr; and 2)<br />

individual assigned responses were compared using a Weighted Kappa analysis with<br />

a quadratic weighting.<br />

Results: The following response criteria were identified for changes in HLCr: 1) PD:<br />

≥24% increase in HLCr with absolute increase in involved IgA ≥5g/; 2) SD: 24% increase in HLCr without an accompanying<br />

5g/L increase in involved IgA and 20 PDs (median % change: 212%; range: 65%<br />

to 487%); There was good agreement between dichotomized HLCr-responses and<br />

IMWG-responses (sensitivity: 91.7% (95% CI: 87.2-95.1%); specificity: 73.9% (61.5-<br />

83.9%); PPV: 91.7% (95% CI: 87.2-95.1%); NPV: 73.9% (61.5-83.9%) and between<br />

individual assigned responses (Weighted Kappa: 0.86 (0.78-0.97); >0.81 is considered<br />

to be identical).<br />

Conclusion: HLC measurements display good agreement with SPEP/tIgA<br />

measurements and HLCr changes can be used to monitor IgA MM patients. Fur<strong>the</strong>r<br />

clinical studies are needed to validate optimal HLCr cut-<strong>of</strong>fs and to verify <strong>the</strong> clinical<br />

benefit <strong>of</strong> HLCr monitoring.<br />

A-45<br />

Withdrawn by Author<br />

A12 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-46<br />

High-throughput screening <strong>of</strong> ALK, RET, and ROS1 fusion transcripts<br />

in Non-Small Cell Lung Cancer (NSCLC) by Multiplex Real-time RT-<br />

PCR High-Resolution Melting curve analysis<br />

S. Itoga 1 , K. Sato 1 , Y. Sakairi 2 , T. Ishige 1 , K. Matsushita 3 , I. Yoshino 2 , F.<br />

Nomura 3 . 1 Chiba University Hospital, Chiba City, Japan, 2 Department <strong>of</strong><br />

General Thoracic Surgery, Chiba University Graduate School <strong>of</strong> Medicine,<br />

Chiba City, Japan, 3 Department <strong>of</strong> Molecular Diagnosis, Graduate School<br />

<strong>of</strong> Medicine, Chiba University, Chiba City, Japan<br />

Background: The identification <strong>of</strong> tumor-driving oncogenic transcripts is<br />

advantageous for molecular targeted <strong>the</strong>rapy for NSCLC. However, specific detection<br />

<strong>of</strong> <strong>the</strong> ALK, RET, and ROS1-translocated fusion genes transcripts, coding strong<br />

kinases, is still challenging mainly because <strong>the</strong> breakpoints <strong>of</strong> <strong>the</strong>se genes are diverse<br />

or inconsistent. The purpose <strong>of</strong> this study was to develop and evaluate a novel and<br />

simple high-throughput multiplex real-time RT-PCR high-resolution melting curve<br />

analysis (RRT-PCR HRM) that can be used for <strong>the</strong> detection <strong>of</strong> various ALK, RET,<br />

and ROS1 fusion transcripts.<br />

Methods: We used 264 tissues samples obtained from 132 NSCLC patients treated<br />

in Chiba University Hospital, Japan. Primary tumor tissue samples were obtained by<br />

conventional needle aspiration biopsy with flexible endo-bronchoscopy and lymph<br />

nodes tissues were obtained using a convex-type ultrasound probe. These biopsy<br />

tissue samples, rinsed with fluids (ultra-micro sample; uMS), were used for fur<strong>the</strong>r<br />

genetic analysis. Translocated fusion genes such as EML4-ALK, KIF5B-ALK,<br />

CCDC6-RET, KIF5B-RET, TPM3-ROS1, SDC4-ROS1, SLC34A2-ROS1, CD74-<br />

ROS1, EZR-ROS1, and LRIG3-ROS1 were examined using <strong>the</strong> multiplex RRT-PCR<br />

HRM system. To determine <strong>the</strong> sensitivity <strong>of</strong> <strong>the</strong> RRT-PCR HRM, we performed a<br />

plasmid syn<strong>the</strong>sized DNA titration study.<br />

Results: RNA was successfully extracted from both bronchoendoscopic biopsy<br />

samples and uMSs. ABL mRNA expression was used as <strong>the</strong> RNA internal extraction<br />

control: 6.2E+05 ± 1.2E+06 (mean ± SD) copies/μg RNA from tissue samples, and<br />

1.1E+05 ± 2.0E+05copies/μg RNA from uMSs. Fusion gene transcripts, including<br />

ALK (n =5), RET (n = 1), and ROS1 (n = 1), were identified in 7 cases. Identical<br />

results were obtained for both histological samples and MS. Additionally, plasmid<br />

templates representing all <strong>the</strong> transcripts were amplified, and <strong>the</strong>y showed predicted<br />

PCR sizes. This method potentially enabled <strong>the</strong> detection <strong>of</strong> every fusion transcript,<br />

and 7-20 copies/reaction were obtained.<br />

Conclusion: We developed a novel and simple high-throughput multiplex RRT-PCR<br />

HRM system for detecting ALK, RET, and ROS1 fusion transcripts. This method is<br />

clinically useful for detecting kinase-fusion transcripts even in tiny lung cancer tissues<br />

obtained by bronchoscopic uMS.<br />

A-47<br />

Evaluation <strong>of</strong> absence <strong>of</strong> dietary interferences using FOB Gold ® Screen<br />

System in <strong>the</strong> determination <strong>of</strong> occult blood in fecal samples<br />

M. Gramegna, M. La Motta, G. Longo, M. Anelli, R. Lucini. Sentinel CH.<br />

SpA, Milan, Italy<br />

Background:<br />

In <strong>the</strong> determination <strong>of</strong> occult blood in fecal samples is critical to avoid interferences<br />

in <strong>the</strong> analytical results caused by animal hemoglobin present in <strong>the</strong> diet <strong>of</strong> tested<br />

subjects. For this purpose, it is fundamental to dispose <strong>of</strong> a reagent able to recognize<br />

human hemoglobin molecules exclusively. The objective <strong>of</strong> this study was to evaluate<br />

cross reactivity (analytical specificity) <strong>of</strong> hemoglobins <strong>of</strong> animal origin on clinical<br />

performances <strong>of</strong> FOB Gold ® Screen System. This study was performed on hemoglobin<br />

from bovine, pig, sheep, horse and goat.<br />

Methods: Were selected 5 healthy subject, over <strong>the</strong> age <strong>of</strong> 50 years (target age in<br />

<strong>the</strong> clinical screening) and under <strong>the</strong> age <strong>of</strong> 70 years. Subjects were not subjected to<br />

dietary restrictions. Healthy subjects were<br />

selected by subjecting <strong>the</strong> volunteers to test for occult blood (FOB). For each subject<br />

were tested 3 samples, in 3 different days, before starting to feed with dedicated<br />

diet. All subjects tested negative were involved in <strong>the</strong> study. The selected subjects<br />

will be submitted for at least 1 week at a diet consisting mainly <strong>of</strong> cooked bovine<br />

meat (100 g/day). The results must were negative throughout <strong>the</strong> period <strong>of</strong> 6 days.<br />

After <strong>the</strong> first phase with cooked meat, <strong>the</strong> selected subjects will be submitted for<br />

at least 6 days at a diet consisting mainly <strong>of</strong> raw bovine meat (100 g/day). Then,<br />

<strong>the</strong> subjects were controlled for a period <strong>of</strong> 6 days during normal diet. Two <strong>of</strong> <strong>the</strong>se<br />

three steps (cooked meat, control after diet) were repeated using pig meat, sheep<br />

meat, horse meat, goat meat. The cut-<strong>of</strong>f was fixed at 80 ng/mL. The FOB Gold<br />

System is an immunodiagnostic system developed for providing sensitive, accurate<br />

and reproducible measurements <strong>of</strong> human hemoglobin levels in feces specimens. It<br />

consists <strong>of</strong> latex reagents, calibrator set, controls set, sample collection tubes. All<br />

tests were performed in double using Beckman Coulter AU400 and Beckman Coulter<br />

AU480 clinical chemistry analyzers.<br />

Results: Control <strong>of</strong> subjects during diet based on bovine cooked meat: all subjects<br />

result negative after 6 sampling (all results < 80 ng/mL). Control <strong>of</strong> subjects during<br />

diet based on bovine raw meat: all subjects result negative after 6 sampling (all results<br />

< 80 ng/mL). Control <strong>of</strong> subjects during diet with pig cooked meat: all subjects result<br />

negative after 6 sampling (all results < 80 ng/mL). Control <strong>of</strong> subjects during diet<br />

based on sheep cooked meat: all subjects result negative after 6 sampling (all results<br />

< 80 ng/mL). Control <strong>of</strong> subjects during diet based on horse cooked meat: all subjects<br />

result negative after 6 sampling (all results < 80 ng/mL). Control <strong>of</strong> subjects during<br />

diet based on goat cooked meat: all subjects result negative after 6 sampling (all<br />

results < 80 ng/mL).<br />

Conclusion: Based on <strong>the</strong> results summarized below, <strong>the</strong>re is not cross reactivity <strong>of</strong><br />

hemoglobins <strong>of</strong> animal origin on clinical performances <strong>of</strong> FOB Gold H System. On<br />

<strong>the</strong> basis <strong>of</strong> <strong>the</strong>se results, it is possible to conclude that is not requested diet restriction<br />

before testing <strong>of</strong> <strong>the</strong>se reagents.<br />

A-48<br />

Assessing <strong>the</strong> necessity <strong>of</strong> including a crossover period when switching<br />

total PSA assays<br />

A. Rutledge, G. Pond, S. Hotte, P. Kavsak. McMaster University, Hamilton,<br />

ON, Canada<br />

Background: The National Academy <strong>of</strong> Clinical Biochemistry guidelines on <strong>the</strong> Use<br />

<strong>of</strong> Tumor Markers in Clinical Practice: Quality Requirements (2008) recommended<br />

that laboratories establish a defined protocol when changing tumor marker methods.<br />

This may necessitate including a crossover period during which patient samples are<br />

analyzed by both <strong>the</strong><br />

current and new tumor marker assays in parallel. However, some tumor marker<br />

assays, such as total prostate-specific antigen (PSA), have been standardized, with<br />

traceability to <strong>the</strong> World Health Organization (WHO) standard. Thus, when switching<br />

standardized total PSA methods, it may not be necessary to provide overlapping<br />

testing if <strong>the</strong> method comparison during <strong>the</strong> validation is acceptable. The objective<br />

<strong>of</strong> this study was to assess agreement between Abbott Architect total PSA (new<br />

laboratory assay) and Roche Modular total PSA (current laboratory assay) during <strong>the</strong><br />

method validation and subsequently in <strong>the</strong> crossover timeframe when both Abbott and<br />

Roche total PSA results were reported.<br />

Methods: In accordance with <strong>the</strong> Clinical and Laboratory Standards Institute<br />

(CLSI) Guideline EP09 (Method Comparison and Bias Estimation using Patient<br />

Samples), 40 patient samples (serum) were split and run on each platform for total<br />

PSA with Passing & Bablok regression analysis performed. After this validation, a<br />

crossover study was performed during which both <strong>the</strong> Roche and Abbott total PSA<br />

assays were reported clinically for 54 days. Passing & Bablok regression was also<br />

performed on this dataset. Agreement between results was determined according<br />

to CLSI Guideline C45-A (Verification <strong>of</strong> Comparability <strong>of</strong> Patient Results within<br />

One Health Care System), with <strong>the</strong> percent difference between results (calculated<br />

as <strong>the</strong> absolute difference between Roche and Abbott results on a sample, divided<br />

by <strong>the</strong> mean <strong>of</strong> those results) deemed acceptable if ≤0.33xCVi (CVi=intraindividual<br />

biological variation; 18.1% for total PSA). Analyses were performed using Analyse-it<br />

and Statsdirect s<strong>of</strong>tware.<br />

Results: Of 40 paired samples in <strong>the</strong> validation analysis, <strong>the</strong> median total PSA values<br />

(ranges) were 3.08 μg/L (0.03-61.49 μg/L) and 2.85 μg/L (0.03-54.73 μg/L) for <strong>the</strong><br />

Roche and Abbott assays, respectively. Regression analysis yielded: (Abbott total<br />

PSA)=0.99(95%CI:0.95-1.03)x(Roche total PSA)-0.01(95%CI:-0.04-0.00). During<br />

<strong>the</strong> crossover, 1110 paired results were obtained. The median total PSA values (ranges)<br />

were 3.30 μg/L (0.04-2710 μg/L) and 3.45 μg/L (0.05-2666 μg/L) for <strong>the</strong> Roche and<br />

Abbott assays, respectively, on 948 paired samples with detectable concentrations by<br />

both methods. In <strong>the</strong> 162 samples with at least one assay result below <strong>the</strong> functional<br />

sensitivity (Roche


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Cancer/Tumor Markers<br />

Despite <strong>the</strong> excellent linear relationship between <strong>the</strong> Roche and Abbott assays, only<br />

490 samples (52%; 95%CI:49-55%) in <strong>the</strong> crossover period had a percent difference<br />

between <strong>the</strong> methods ≤0.33xCVi.<br />

Conclusion: This study highlights <strong>the</strong> importance <strong>of</strong> performing crossover studies<br />

when changing tumor marker platforms, even for a standardized assay such as total<br />

PSA. It is not sufficient to run 40 patient samples on each platform and rely on linear<br />

regression if comparability <strong>of</strong> results is <strong>the</strong> optimal goal.<br />

A-51<br />

Validation <strong>of</strong> a rapid lateral-flow test for <strong>the</strong> diagnosis and monitoring<br />

<strong>of</strong> immunoglobulin free light chains: retrospective analysis <strong>of</strong> sera<br />

from patients with plasma cell dyscrasias.<br />

J. Campbell, A. Stride, J. Heaney, M. Cobbold, Y. Wang, M. Goodall, S.<br />

Bonney, A. Chamba, T. Plant, Z. Afzal, R. Jefferies, M. Drayson. University<br />

<strong>of</strong> Birmingham, Birmingham, United Kingdom<br />

Background: Quantitation <strong>of</strong> serum κ and λ immunoglobulin free light chains (FLC)<br />

is central to <strong>the</strong> diagnosis and monitoring <strong>of</strong> patients with plasma cell dyscrasias,<br />

including multiple myeloma. At present, laboratory FLC tests <strong>of</strong>fer <strong>the</strong> only means<br />

<strong>of</strong> quantitating FLC in urine and blood and <strong>of</strong>ten have a slow turnaround time that<br />

prevents early myeloma diagnosis or identification <strong>of</strong> relapse. We have developed a<br />

rapid lateral-flow test (Seralite) that simultaneously quantitates kappa and lambda<br />

FLCs in blood or urine in 10 minutes using highly-specific anti-κ and anti-λ FLC<br />

monoclonal antibodies (Campbell et al., <strong>2013</strong> JIM).<br />

Methods: Seralite validation was conducted by retrospective analysis <strong>of</strong> sera<br />

from patients with plasma cell dyscrasias from MRC UK Myeloma IX and XI trials.<br />

Specifically, 1,975 (MIX n=1,231, MXI n=744) samples at trial entry were used to<br />

assess <strong>the</strong> utility <strong>of</strong> Seralite for diagnosis.<br />

Results: Seralite displayed excellent clinical concordance with Freelite<br />

and immun<strong>of</strong>ixation electrophoresis for identification <strong>of</strong> abnormal FLC levels.<br />

Additionally, cohorts <strong>of</strong> samples from patients with light chain only myeloma, nonsecretory<br />

myeloma, and intact immunoglobulin myeloma (IgAκ/λ, IgGκ/λ, IgMκ/λ,<br />

IgDκ/λ) were assessed through diagnosis, response to <strong>the</strong>rapy, plateau and relapse.<br />

Seralite had excellent concordance with Freelite for <strong>the</strong> quantitation <strong>of</strong> serum FLC<br />

from diagnosis through monitoring.<br />

Conclusion: Prospective use <strong>of</strong> Seralite to diagnose and monitor plasma cell<br />

dyscrasias at <strong>the</strong> point-<strong>of</strong>-care should now be investigated.<br />

A-52<br />

<strong>Meeting</strong> <strong>the</strong> Needs <strong>of</strong> In-house Thyroid Cancer Patients: Identifying<br />

Appropriate Thyroglobulin and Thyroglobulin Antibody Testing<br />

Algorithms<br />

S. E. Wheeler 1 , J. Picarsic 2 , H. Blair 1 , O. Peck Palmer 1 . 1 University <strong>of</strong><br />

Pittsburgh, Pittsburgh, PA, 2 Children’s Hospital <strong>of</strong> Pittsburgh, University<br />

<strong>of</strong> Pittsburgh, Pittsburgh, PA,<br />

BACKGROUND: The American Society <strong>of</strong> Cancer estimates in <strong>2013</strong> >60,000<br />

individuals will be diagnosed with thyroid cancer. The demand for accurate and timely<br />

in-house laboratory testing is high. Specifically, in differentiated thyroid carcinoma<br />

(DTC), <strong>the</strong> most common thyroid cancer, thyroglobulin (Tg) is used to assess disease<br />

recurrence in patients who have undergone thyroidectomy. Commercially available<br />

Tg immunoassay methods are most common but are susceptible to Tg antibody<br />

(TgAb) interference. In most laboratories TgAb is quantified and manufacturer cut<strong>of</strong>fs<br />

are used to categorize a specimen as TgAb negative (Tg analyzed by immunoassay)<br />

or TgAb positive (Tg measurement is referred to an alternate methodology). The<br />

Tg radioimmunoassay (RIA) method is a common alternative method as it is less<br />

susceptible to TgAb interference. Previous studies demonstrate that lower TgAb<br />

cut<strong>of</strong>fs for immunoassay testing increase <strong>the</strong> accuracy <strong>of</strong> Tg concentrations reported.<br />

However, referring samples to outside laboratories increases result turnaround time<br />

and patient costs. Identifying <strong>the</strong> limitations <strong>of</strong> in-house Tg can aid <strong>the</strong> laboratory in<br />

developing appropriate testing algorithms.<br />

OBJECTIVE: To investigate <strong>the</strong> most clinically appropriate TgAb cut<strong>of</strong>f for reflex<br />

Tg testing by RIA method in a patient population being managed for <strong>the</strong> recurrence<br />

<strong>of</strong> DTC.<br />

MATERIALS AND METHODS: Excess samples (n=61; -80°C storage) were<br />

obtained from adults (>/= 18 years old) post total thyroidectomy. These adults were<br />

monitored as outpatients for DTC recurrence by <strong>the</strong> Diabetes and Endocrinology Center.<br />

Samples were analyzed for TgAb using a simultaneous one-step immunoenzymatic<br />

assay (UniCel DxI 800 automated analyzer, Beckman Coulter, CA), a radioassay<br />

method (semiautomated; Kronus, ID) and an indirect noncompetitive enzyme<br />

immunoassay (Varelisa Thyroglobulin Antibodies EIA kit, Phadia GmbH, Germany).<br />

Tg was analyzed using a simultaneous one-step immunoenzymatic assay (UniCel<br />

DxI 800 automated analyzer, Beckman Coulter, CA), a solid-phase chemiluminescent<br />

immunometric assay (Immulite® 2500, Siemens, LA) and a RIA method (USC<br />

Endocrine Laboratories, CA).<br />

RESULTS: TgAb detection was examined. Concordance between <strong>the</strong> DxI 800 and<br />

Kronus was 91%. Concordance was significantly lower between DxI 800 and Phadia,<br />

and Kronus and Phadia, 71% and 78% respectively. We examined <strong>the</strong> effects <strong>of</strong><br />

TgAb interference on Tg concentrations that ranged from 0-463 ng/mL (<strong>the</strong> upper<br />

limit for <strong>the</strong> DxI 800) with <strong>the</strong> DxI 800 TgAb recommended cut<strong>of</strong>f <strong>of</strong>


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-58<br />

Differentiating prostate cancer and prostatic hyperplasia by using<br />

capillary electrophoretic protein pr<strong>of</strong>iles<br />

H. Kataoka 1 , T. Sakaki 2 , M. Kamada 1 , K. Saito 3 , Y. Yamamoto 3 , K. Yabe 2 ,<br />

T. Hisahara 1 , Y. Hatakeyama 1 , Y. Okuhara 1 , T. Shuin 1 , T. Sugiura 1 . 1 Kochi<br />

Medical School, Kochi, Japan, 2 A&T Corporation, Yokohama, Japan,<br />

3<br />

Kyoto University Graduate School <strong>of</strong> Medicine, Kyoto, Japan<br />

Background: The data from protein electrophoretic pr<strong>of</strong>ile with capillary<br />

electrophoresis could be used for diagnosis <strong>of</strong> certain diseases including metabolic<br />

syndrome. Moreover, in certain analytical condition protein electrophoretic pr<strong>of</strong>ile<br />

showed specific points <strong>of</strong> mobility for prostate cancer. Accordingly, <strong>the</strong> aim <strong>of</strong> this<br />

study was to determine <strong>the</strong> possibility <strong>of</strong> discriminating patients with prostatic<br />

hyperplasia and prostate cancer by utilizing protein electrophoretic pr<strong>of</strong>ile data with<br />

ROC analysis.<br />

Methods: This study consisted <strong>of</strong> 25 men with prostate cancer and 55 men with<br />

prostatic hyperplasia. Measurement was performed by Capillary electrophoresis<br />

under <strong>the</strong> following condition: voltage; 7.8kV, temperature; 35.5°C, buffer solution;<br />

pH 9.9 alkalin buffer, and detection wavelength; 200nm and 214nm. Demarcation<br />

curve data were collected by measuring capillary electrophoresis with 10% <strong>of</strong> N-,N’-<br />

dimethyl form amide (DMF, 2μL) as internal standard in diluent. Standardization <strong>of</strong><br />

<strong>the</strong> mobility was performed by peak position <strong>of</strong> both DMF and albumin as standards,<br />

and that <strong>of</strong> peak strength was performed by total protein concentration. All <strong>the</strong><br />

o<strong>the</strong>r demarcation curves were standardized by <strong>the</strong> same method. Each point <strong>of</strong> <strong>the</strong><br />

standardized curve and <strong>the</strong> confirmed diagnosis were used in <strong>the</strong> bootstrap ROC<br />

analysis to produce a map <strong>of</strong> area under <strong>the</strong> curve (AUC) value.<br />

Results: The diagnostic feature <strong>of</strong> PSA and its calculated F/T value obtained by<br />

<strong>the</strong> conventional method were AUC=0.69 and 0.79. By using <strong>the</strong> detection wave<br />

length <strong>of</strong> 214nm, prostate cancer had high point located between albumin tail and<br />

globulin (AUC=0.708), and between alpha-1 tail and albumin (AUC=0.714) <strong>of</strong> <strong>the</strong><br />

standardized curve. Fur<strong>the</strong>rmore, when multiple logistic regression analysis were<br />

performed using 7 variables (5 excellent mobility areas, age and total protein), protein<br />

electrophoretic pr<strong>of</strong>ile had good diagnostic ability to differentiate prostate cancer and<br />

prostatic hyperplasia (AUC=0.78).<br />

Conclusion: The differential diagnosis <strong>of</strong> prostate cancer and prostatic hyperplasia<br />

was possible by changing <strong>the</strong> detection wave length <strong>of</strong> <strong>the</strong> protein electrophoretic<br />

pr<strong>of</strong>ile.<br />

A-60<br />

Value <strong>of</strong> serum free light chains in <strong>the</strong> monitoring <strong>of</strong> <strong>the</strong> treatment and<br />

relapse <strong>of</strong> a patient with IgD Kappa multiple myeloma associated with<br />

primary amyloidosis.<br />

J. García de Veas Silva, C. Bermudo Guitarte, M. Perna Rodríguez, C.<br />

González Rodríguez. Hospital Universitario Virgen Macarena, Sevilla,<br />

Spain<br />

Background: Multiple Myeloma (MM) is a malignancy <strong>of</strong> B cells characterized<br />

by an atypical proliferation <strong>of</strong> plasm cells. IgD MM has a very low incidence (2%<br />

<strong>of</strong> MM cases) and it´s characterized by an aggressive course and a worse prognosis<br />

than o<strong>the</strong>r subtypes. The free light chains in serum (FLC) are very important<br />

markers for monitoring patients with multiple myeloma (MM) and o<strong>the</strong>r monoclonal<br />

gammopathies. When <strong>the</strong> serum FLCs are present in low concentrations, <strong>the</strong>y are<br />

difficult for <strong>the</strong> detection by conventional methods as serum protein electrophoresis<br />

(SPE) and immun<strong>of</strong>ixation (IFE). We report <strong>the</strong> case <strong>of</strong> a patient where FLCs are<br />

ei<strong>the</strong>r undetectable or barely detectable using <strong>the</strong> conventional qualitative assays.<br />

Case report: a 50 years old man was diagnosed in June 2011 <strong>of</strong> IgD Kappa multiple<br />

myeloma with primary amyloidosis associated. He began treatment with VAD<br />

(vincristine, doxorubicin and dexamethasone) and hemodialysis. He received three<br />

cycles <strong>of</strong> VAD from July 2011 to August 2011 but <strong>the</strong> κ/λ FLC ratio was altered<br />

during this treatment (from an initial value <strong>of</strong> 1570 mg/L in July to a value <strong>of</strong> 1633<br />

mg/L in August). The IFE was positive (IgD Kappa) during <strong>the</strong> treatment. Due to <strong>the</strong><br />

minimum response <strong>of</strong> <strong>the</strong> disease and <strong>the</strong> development <strong>of</strong> demyelinating neuropathy,<br />

<strong>the</strong> treatment was changed to bortezomib and dexamethasone. Then, <strong>the</strong> patient<br />

received eight cycles from September 2011 to April 2012 with a normalization <strong>of</strong><br />

<strong>the</strong> κ/λ FLC ratio from an initial value <strong>of</strong> 1579 mg/L in September to a value <strong>of</strong> 1.62<br />

mg/L at <strong>the</strong> end <strong>of</strong> March 2012 with negative IFE. The patient´s condition improved<br />

with this treatment and achieved <strong>the</strong> complete remission (CR). Three months later,<br />

<strong>the</strong> κ/λ FLC ratio began to increase predicting a relapse with a value <strong>of</strong> 2.52 mg/L in<br />

July, 4.27 mg/L in August, 60.23 mg/L in October and a maximum value <strong>of</strong> 135.85<br />

mg/L in December. In <strong>the</strong>se months, <strong>the</strong> IFE was normal. In January <strong>2013</strong>, <strong>the</strong> κ/λ<br />

FLC ratio remained altered (97.41 mg/L) and <strong>the</strong> IFE was positive (IgD Kappa) for<br />

first time in <strong>the</strong> relapse.<br />

Conclusions: This case is a good example <strong>of</strong> <strong>the</strong> utility k/λ FLC ratio in <strong>the</strong> monitoring<br />

<strong>of</strong> multiple myeloma. The k/λ FLC ratio can detect when <strong>the</strong> chemo<strong>the</strong>rapy applied<br />

isn´t completely effective or it can predict future relapses in <strong>the</strong> patient.<br />

A-61<br />

Study Of Novel Genes-associated With The Risk Of Esophageal<br />

Squamous Cell Carcinoma By Whole Genome Expression Array<br />

H. Lin 1 , H. Shih 2 , M. Wu 3 . 1 Department <strong>of</strong> Laboratory Medicine,Teaching<br />

and Research center, Kaohsiung Municipal Hsiao-Kang Hospital<br />

and Graduate Institute <strong>of</strong> Occupational Safety, Kaohsiung, Taiwan,<br />

2<br />

Department <strong>of</strong>Division <strong>of</strong> Gastroenterology, Department <strong>of</strong> Internal<br />

Medicine , Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung, Taiwan,<br />

3<br />

Department <strong>of</strong> Family Medicine, Kaohsiung Medical University Hospital,<br />

Department <strong>of</strong> Public Health, Kaohsiung Medical University,Center <strong>of</strong><br />

Environmental and Occupational Medicine, Kaohsiung Municipal Hsiao-<br />

Kang Hospital, Kaohsiung, Taiwan<br />

Background:Esophageal cancer is <strong>the</strong> 6th leading cause <strong>of</strong> cancer death worldwide<br />

in 2008. In Taiwan, most <strong>of</strong> histological type <strong>of</strong> esophageal cancer was squamous<br />

cell carcinoma; majority <strong>of</strong> <strong>the</strong>m happened in men. The annual incidence rate <strong>of</strong><br />

esophageal cancer in men increased ~100% in recent decade (from 5.7/10 5 in 1995 to<br />

12.1/10 5 in 2007). The overall five-year survival rate for esophageal cancer was less<br />

than 15%, because, once diagnosed, its ability <strong>of</strong> invasiveness and metastasis is high.<br />

Therefore, it becomes crucial to identify <strong>the</strong> potential novel genes for <strong>the</strong> prediction <strong>of</strong><br />

esophageal cancer malignancy in <strong>the</strong> clinic. Methods:Cooperated with <strong>the</strong> scientists<br />

from <strong>the</strong> Microarray Lab. Center <strong>of</strong> Biomedical Engineering Research Laboratory in<br />

Industrial Technology Research Institute (ITRI, Hsinchu, Taiwan), we analyzed three<br />

Taiwanese ESCC cell lines (CE48T/VGH, CE81T/VGH, and CE146T/VGH) and one<br />

Caucassian ESCC cell line (OE21) as well as three normal tissues <strong>of</strong> esophagus by<br />

using <strong>the</strong> cutting-edge microarray technique (Human OneArray expression system)<br />

which probes ~30,000-transcription expression pr<strong>of</strong>iling <strong>of</strong> human genes. Then, in<br />

order to investigate whe<strong>the</strong>r <strong>the</strong>se selected candidate genes are really meaningful in<br />

vivo, we have finished cDNA array analyses in 17-paired ESCC tumor tissues and<br />

<strong>the</strong>ir normal parts. Result: Among <strong>the</strong>m, we have identified <strong>the</strong> most significant 10<br />

down-regulated(DCN,PRELP,HBB,C7,HBA1,DES,COX7A1,PLVAP and MYL9)<br />

and 13 up-regulated(HMGA2,ECT2,UBAP2L,ZIC2,COPA,IMP-2,HOXC13,WAR<br />

S,FJX1,HOXA10,HOXD11,ADPGK and IMP-3) novel genes from cell lines. The<br />

role and mechanism <strong>of</strong> <strong>the</strong>se most candidate genes were unknown in esophageal<br />

carcinogenesis. These candidate genes were compared by 17-paired ESCC tumor<br />

tissues and <strong>the</strong>ir normal parts using cDNA array analyses. All gene expression data<br />

were represented by T/N ratio. Because mean values can be easily influenced by some<br />

extreme high or low data, we use median to estimate <strong>the</strong> expression <strong>of</strong> <strong>the</strong>se genes.<br />

The distributions <strong>of</strong> <strong>the</strong>se 17 paired tissues among our candidate down-regulated genes<br />

show significant results. DCN(T/N=0.63),PRELP(T/N=0.39),HBB(T/N=0.57),C7(T/<br />

N=0.15),HBA1(T/N=0.54),DES(T/N=0.08),COX7A1(T/N=0.28) and MYL9(T/<br />

N=0.20) show low expression median(T/N ratio 1).<br />

Conclusion: Compared to <strong>the</strong> findings from cell lines, we found <strong>the</strong> high consistency<br />

in terms <strong>of</strong> RNA expressions in those candidate genes, allowing us to be more<br />

confidence that <strong>the</strong> 23 candidate genes we selected from 3-paired tumor/normal<br />

ESCC tissues using microarray technique <strong>of</strong> Human 1A (version 2) oligo microarray<br />

(Agilent Technologies, USA) may play an important role in <strong>the</strong> occurrence <strong>of</strong> ESCC<br />

A-62<br />

Real Time PCR Detection <strong>of</strong> <strong>the</strong> V600E BRAF Mutation<br />

C. G. Rasuck, F. S. V. Malta, V. C. Oliveira, F. A. Caxito. Hermes Pardini,<br />

Vespasinao, Brazil<br />

Background:The V600E BRAF mutation is associated to many different cancer types,<br />

specially melanoma, thyroid cancer and colorectal cancer (CRC). BRAF mutations<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A15


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Cancer/Tumor Markers<br />

are present in approximately 50% <strong>of</strong> all melanoma, and 8% <strong>of</strong> all solid tumors.<br />

Heterozygous patients for <strong>the</strong> V600E mutation do not have a positive response for<br />

monoclonal EGFR-antibodies, and are indicated for mono<strong>the</strong>rapy with Vemurafenib<br />

(ZELBORAF). This is <strong>the</strong> first time FDA (Food and Drug Administration) approves a<br />

medication based on <strong>the</strong> patient´s genetic pr<strong>of</strong>ile. The quicker <strong>the</strong> tumor is genetically<br />

classified, <strong>the</strong> more effective can be <strong>the</strong> approach made by <strong>the</strong> physicians. The goal<br />

<strong>of</strong> this study is to detect <strong>the</strong> V600E BRAF mutation using a fast and not expensive<br />

method.<br />

Methods:Amplification was performed on StepOne Plus Real Time PCR (Applied<br />

Biosystems). A set <strong>of</strong> primers-probes with Primer Express S<strong>of</strong>tware (Applied<br />

Biosystems, CA) were designed. The fluorescent reporter for Taqman® MGB<br />

probes were FAM (Applied Biosystems). For this study, 70 patients with clinical<br />

and laboratorial diagnosis <strong>of</strong> CRC were tested for <strong>the</strong> mutation. Real time PCR was<br />

performed by a wild-type and a mutant mix, being 8 patients also sequenced for<br />

results confirmation (3 positives and 5 negatives for V600E BRAF mutation).<br />

Results:The wild-type mix had an amplification ranging from 52,000 to 87,000 UF<br />

(Fluorescence Units), with a plateau formation and Ct (Cycle threshold) between 25<br />

and 39. The mutante mix, in <strong>the</strong> positive patients, had a signal detection ranging from<br />

32,000 to 60,000 UF, didn’t show plateau formation and Ct ranging from 26 to 39. The<br />

DNA concentration should be between 0.1 and 90.0 ng/uL.<br />

Conclusion:The performed assay was a rapid, not expensive, and an efficient method<br />

to detect V600E BRAF mutation.<br />

A-63<br />

Prognostic value <strong>of</strong> serum free light chains ratio at diagnosis in Spanish<br />

population with multiple myeloma<br />

J. García de Veas Silva, C. Bermudo Guitarte, M. Perna Rodríguez, C.<br />

González Rodríguez. Department <strong>of</strong> Clinical Biochemistry, Hospital<br />

Universitario Virgen Macarena, Sevilla, Spain<br />

Background: monoclonal gammopathies are a group <strong>of</strong> disorders characterized by<br />

clonal expansion <strong>of</strong> B cells that usually secrete intact monoclonal immunoglobulin,<br />

monoclonal free light chains or both. The quantification <strong>of</strong> serum free light<br />

chains (FLCs) is used in <strong>the</strong> diagnosis, monitoring and prognosis <strong>of</strong> monoclonal<br />

gammopathies. The aim <strong>of</strong> this study is to evaluate <strong>the</strong> prognostic value <strong>of</strong> serum<br />

FLCs ratio at baseline in newly diagnosed multiple myeloma (MM) in a Spanish<br />

population.<br />

Methods: we studied 73 patients with newly diagnosed multiple myeloma (56 intact<br />

immunoglobulin MM (IIMM) and 17 light chains MM (LCMM)) during a period<br />

<strong>of</strong> five years (2008-2012). Serum free light chains were measured by turbidimetry<br />

(Freelite TM , The Binding Site, Birmingham, UK). Survival was defined as <strong>the</strong> time<br />

from initial diagnosis to death or <strong>the</strong> last follow-up and was calculated by <strong>the</strong> method<br />

<strong>of</strong> Kaplan and Meier. The survival curves were compared using <strong>the</strong> log-rank test. A p<br />

value 26 and


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Conclusions: Srm-exosomes can provide a suitable material to measure circulating<br />

miRNA in melanoma and lower levels <strong>of</strong> miR-125b in srm-exosomes are associated<br />

with advanced melanoma disease, probably reflecting <strong>the</strong> tumor cell disregulation.<br />

Levels (median Ct and interquartile range) <strong>of</strong> miR-125b in serum and srm-exosomes in<br />

control, disease<br />

Patients Serum Srm-exosomes<br />

Controls 32.8(28.7-35.7) 30.2 (29.0-31.6)<br />

Disease free 33.3(29.3-36.8) 32.1 (31.0-35.7)<br />

Advanced melanoma 35.2 (32.8-37.2) 37.6 (31.3-39.1)*<br />

A-67<br />

Case report: Detection <strong>of</strong> c.180_181 TC>AA mutation in codon 61 <strong>of</strong><br />

<strong>the</strong> KRAS gene by Pyrosequencing technique.<br />

P. Nishimura 1 , F. Gandufe 1 , V. Niewiadonski 1 , F. Abreu 1 , M. Freire 2 , N.<br />

Gaburo 1 . 1 DASA, Sao Paulo, Brazil, 2 DASA, Rio de Janeiro, Brazil<br />

The detection <strong>of</strong> KRAS gene mutations has been used to predict response to <strong>the</strong>rapy<br />

with EGFR- inhibiting drugs like cetuximab and panitumumab in patients with<br />

metastatic colorectal cancer. Certain mutations can activate EGFR- independent<br />

signaling pathways, conferring resistance to <strong>the</strong>se drugs. O<strong>the</strong>r tumors can also<br />

present KRAS mutations, as lung, pancreas and thyroid.<br />

Our objective is to report a case where we detected a rare mutation in codon 61 <strong>of</strong> <strong>the</strong><br />

KRAS gene using <strong>the</strong> Pyrosequencing technique.<br />

A 72 years old patient diagnosed with metastatic colorectal cancer was treated with<br />

surgery and chemo<strong>the</strong>rapy (FOLFOX associated to Avastin). The test was performed<br />

on formalin-fixed, paraffin-embedded tumor specimen, after <strong>the</strong> selection <strong>of</strong> <strong>the</strong><br />

specimen region to be analyzed by a pathologist. The DNA was extracted using <strong>the</strong><br />

Qiaamp FFPE Tissue kit (Qiagen, Hiden, Germany). The codon regions 12, 13 and<br />

61 were amplified by PCR using <strong>the</strong> KRAS Pyro kit (Qiagen, Hiden, Germany).<br />

Successful and specific amplification <strong>of</strong> <strong>the</strong> region <strong>of</strong> interest was verified by<br />

visualizing <strong>the</strong> PCR product on capillary eleforesis (Qiaxcel,Qiagen). Preparation <strong>of</strong><br />

single-stranded DNA was done using PyroMark Q24 vacuum workstation (Qiagen)<br />

according to <strong>the</strong> manufacturer instructions. The pyrosequencing reaction was done on<br />

<strong>the</strong> Pyro Mark Q24 (Qiagen).<br />

The pyrogram trace revealed no mutations in <strong>the</strong> codons 12 and 13 (wild-type) and <strong>the</strong><br />

mutation c.180_181 TC>AA in codon 61 with a frequency <strong>of</strong> 30%<br />

Mutations in codon 61 <strong>of</strong> <strong>the</strong> KRAS gene are rare and <strong>the</strong>re is little data in literature<br />

about its frequency and clinical significance.<br />

A-68<br />

Study <strong>of</strong> <strong>the</strong> reference interval for <strong>the</strong> Chromogranin A test<br />

D. Panisa, V. Alastico, I. Almeida, S. Mendonça, O. Denardin, N. Gaburo.<br />

DASA, Sao Paulo Brasil, Brazil<br />

Background: Chromogranin A (CgA) is a protein <strong>of</strong> 49 kDa composed by 439 coded<br />

amino acids in <strong>the</strong> chromosome 14 which is related to <strong>the</strong> presence <strong>of</strong> neuroendocrine<br />

tumors. Some drugs that are used to treat gastrointestinal dysfunctions may increase<br />

some serum levels <strong>of</strong> CgA, and may compromise <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> test.<br />

Objective: To conduct a study to define a reference range for chromogranin A in a<br />

clinical laboratory.<br />

Methods: CgA was determined through ELISA (Enzyme-Linked Immunosorbent<br />

Assay) method using Chromogranin A (IBL Internacional, Hamburg Germany) kit,<br />

in 200 laboratorial samples. Gender distribution was 50% (100 samples) male and<br />

50% (100 samples) female. The results were stratified in three classes: inferior to 20<br />

ng/mL, 21 to 100 ng/mL and superior to 100ng/mL. For <strong>the</strong> statistics analysis were<br />

calculated: standard deviation and variation coefficient.<br />

Results: Distribution <strong>of</strong> results between classes were 35% inferior to 20 ng/mL<br />

(mean:1,91; SD:5,63) 25% between 21 a 100 ng/mL (mean: 50,13; SD: 16,7) and<br />

40% superior to 100ng/mL (mean: 336,7; SD: 131,5).<br />

Conclusion: The database revealed that <strong>the</strong> interval superior to 100 ng/m is more<br />

reliable, representing a more accurate results. This value also represents a safe<br />

threshold <strong>of</strong> reactivity where we can exclude those patients whose CgA levels are<br />

high due to <strong>the</strong> use <strong>of</strong> drugs.<br />

A-69<br />

Highly Sensitive and Specific Single-Tube SNP Assay for Simultaneous<br />

Detection <strong>of</strong> NRAS and BRAF Mutations<br />

K. Madanahally Divakar 1 , S. Li 1 , S. Voronov 1 , V. Scialabba 1 , M. Schwab 2 ,<br />

G. Tsongalis 2 , J. Riley 1 , L. Kong 1 . 1 PrimeraDx, Mansfi eld, MA, 2 Dartmouth<br />

Medical School, Hanover, NH<br />

Objective: Here, we report <strong>the</strong> development and verification <strong>of</strong> <strong>the</strong> ICEPlex NRAS/<br />

BRAF SNP Panel, a multiplex PCR assay, which can detect 13 most clinically<br />

important NRAS mutations along with 4 o<strong>the</strong>r BRAF mutations using nucleic acids<br />

extracted from FFPE samples, in a single reaction on <strong>the</strong> ICEPlex* System.<br />

Clinical Relevance: The RAS genes are proto-oncogenes that are frequently mutated<br />

in human cancers and are encoded by three ubiquitously expressed genes: HRAS,<br />

KRAS and NRAS. These RAS genes have GTP/GDP binding and GTPase activity,<br />

and <strong>the</strong>ir proteins may be involved in <strong>the</strong> control <strong>of</strong> cell growth. RAS proteins exhibit<br />

is<strong>of</strong>orm-specific functions and in NRAS, gene mutations which change amino acid<br />

residues 12, 13 or 61 activate <strong>the</strong> potential <strong>of</strong> <strong>the</strong> encoded protein to transform<br />

cultured cells with implications in a variety <strong>of</strong> human tumors, particularly cancers <strong>of</strong><br />

<strong>the</strong> skin, blood and lymphoid tissue.<br />

Methodology: NRAS/BRAF SNP detection primers were designed using proprietary<br />

technology from PrimeraDx. All primers were analyzed in silico for primer-primer<br />

interaction. Cross-reactivity was determined using <strong>the</strong> ThermoBlast program and wild<br />

type cell line gDNA and DNA extracted from FFPE samples. Reaction conditions<br />

were optimized using proprietary PCR chemistry on <strong>the</strong> ICEPlex* System.<br />

Results: The single-reaction ICEPlex NRAS/BRAF SNP Panel targets 17 most<br />

clinically important mutations in <strong>the</strong> NRAS and BRAF genes. The kit includes a<br />

control assay, which serves as <strong>the</strong> DNA fragmentation control and for calculated a<br />

delta Ct to determine mutation status; and calibration controls to determine <strong>the</strong> size<br />

<strong>of</strong> amplicons. Analytical studies demonstrate <strong>the</strong> assay is sensitive (number <strong>of</strong> copies<br />

detected in one reaction), selective (mutant to wild type ratio), and specific (relative to<br />

wild type genomic DNA background). The assay requires just 5 μL <strong>of</strong> clinical sample<br />

extract for detection <strong>of</strong> NRAS and BRAF mutations.<br />

Conclusions: The ICEPlex NRAS/BRAF assay provides an accurate and sensitive<br />

detection <strong>of</strong> mutation status in a single tube reaction using low DNA input.<br />

Compatibility <strong>of</strong> this automated multiplexed assay may provide a valid tool for future<br />

applications in <strong>the</strong> clinic for diagnostic detection <strong>of</strong> genomic mutations in cancer, and<br />

thus may help initiate appropriate treatment regimen.<br />

*ICEPlex is for Research Use Only. Not for clinical diagnostic use.<br />

A-70<br />

Development and Verification <strong>of</strong> a Multiplex SNP Assay for Detection<br />

<strong>of</strong> 13 cMET Mutations on <strong>the</strong> ICEPlex System in a Single Reaction<br />

K. Madanahally Divakar, S. Gupta, J. Nolling, J. Riley, L. Kong.<br />

PrimeraDx, Mansfi eld, MA<br />

Objective: Here, we report <strong>the</strong> development and verification <strong>of</strong> <strong>the</strong> ICEPlex cMET<br />

SNP panel, a multiplex PCR assay, which can detect 13 most important cMET<br />

mutations using nucleic acid extracted from FFPE samples, in a single reaction on<br />

<strong>the</strong> ICEPlex* System.<br />

Clinical Relevance: cMET is a proto-oncogene that encodes <strong>the</strong> Hepatocyte Growth<br />

Factor Receptor, a receptor tyrosine kinase, which plays an essential role in normal<br />

cellular function and oncogenesis. In cancer cells, MET has been implicated in cellular<br />

proliferation, cell survival, invasion, cell motility, metastasis and angiogenesis. Recent<br />

studies have indicated cMET as a biomarker for various cancers as well as for drug<br />

resistance in <strong>the</strong> case <strong>of</strong> anti-EGFR <strong>the</strong>rapies. The cMET protein highly overexpresses<br />

in cancer cells by several mechanisms. One <strong>of</strong> <strong>the</strong> mechanisms is via acquired point<br />

mutations in <strong>the</strong> tyrosine kinase domain.<br />

Methodology: cMET SNP detection primers were designed using proprietary<br />

technology from PrimeraDx. All primers were analyzed in silico for primer-primer<br />

interaction. Cross-reactivity was determined using <strong>the</strong> ThermoBlast program and wild<br />

type cell line gDNA and DNA extracted from FFPE samples. Reaction conditions<br />

were optimized using proprietary PCR chemistry on <strong>the</strong> ICEPlex System.<br />

Results: The single-reaction ICEPlex cMET SNP Panel targets thirteen most<br />

important mutations in cMET gene. The kit includes a control assay, which is used<br />

as DNA fragmentation control and for calculated a delta Ct to determine mutation<br />

status; and calibration controls to determine <strong>the</strong> size <strong>of</strong> amplicons. Analytical studies<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A17


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Cancer/Tumor Markers<br />

demonstrates <strong>the</strong> assay is sensitivity (number <strong>of</strong> copies detected in one reaction),<br />

selective (mutant to wild type ratio), and specific (relative to wild type genomic DNA<br />

background).<br />

Conclusions: We have developed a novel multiplex assay, <strong>the</strong> ICEPlex cMET SNP<br />

panel, capable <strong>of</strong> detection <strong>of</strong> 13 cMET SNP mutations on <strong>the</strong> automated ICEPlex<br />

System in one single reaction. The ICEPlex cMET SNP panel will be a useful<br />

molecular tool for accurate diagnosis <strong>of</strong> cMET SNP mutations in clinical specimens,<br />

which will help in personalized patient management.<br />

*ICEPlex is for Research Use Only. Not for clinical diagnostic use.<br />

Results and Conclusion: The reference range was 2.0 to 36.52 U/mL with <strong>the</strong> Architect<br />

assay and 0.8 to 27.05 U/mL with Beckman. Our upper reference limit for <strong>the</strong> Architect<br />

assay was higher than that described by Roberts and La’Ulu Hotakainen et al (26.4<br />

U/mL) and is according to manufacturers range and several reports in literature to<br />

discriminate benign diseases and cancer. The correlation between evaluated methods<br />

was poor r = 0.7192 and bias <strong>of</strong> 19.18%. The performance characteristics <strong>of</strong> Architect<br />

assay, such as conjugated Fab 2’ without Fc portion could justify a higher “signal”.<br />

However, <strong>the</strong> similar reference ranges are not sufficient to explain discrepancies. The<br />

differences between manufacturers require basal realignment in face <strong>of</strong> changing <strong>the</strong><br />

method for patients follow-up.<br />

A-71<br />

Diagnostic and prognostic association <strong>of</strong> epigenetic inactivation <strong>of</strong><br />

DAPK1 and P16 genes in epi<strong>the</strong>lial ovarian carcinoma patients<br />

M. Zuberi 1 , A. MIR 2 , I. Ahmad 1 , J. Javid 1 , P. Yadav 1 , M. Masroor 1 , S. Guru 1 ,<br />

S. dholariya 1 , P. Ray 1 , G. Gandhi 3 , A. saxena 1 . 1 Maulana Azad Medical<br />

college, NEW DELHI, India, 2 University <strong>of</strong> Delhi, NEW DELHI, India,<br />

3<br />

LNJP Deptt <strong>of</strong> Gyaecology Maulana Azad Medical college, NEW DELHI,<br />

India<br />

BACKGROUND: Anomalous DNA methylation is <strong>the</strong> most common molecular<br />

detriment leading to <strong>the</strong> development <strong>of</strong> a tumour. The potential contribution <strong>of</strong> DNA<br />

methylation to oncogenesis is mediated by one or more <strong>of</strong> mechanisms that include<br />

DNA hypermethylation <strong>of</strong> tumour suppressor gene and chromosomal instability in<br />

cancers. The aim <strong>of</strong> this study was to investigate <strong>the</strong> promoter hypermethylation <strong>of</strong><br />

DAPK1 and p16 gene during <strong>the</strong> progression <strong>of</strong> epi<strong>the</strong>lial ovarian carcinoma.<br />

METHODS: A series <strong>of</strong> 50 ovarian carcinoma samples were evaluated. The<br />

promoter methylation status <strong>of</strong> p16 and DAPK1 was assessed by methylation-specific<br />

polymerase chain reaction. 50 ng <strong>of</strong> genomic DNA extracted from fresh peripheral<br />

blood was methylated in all CpG sites by DNA methylases and treated with <strong>the</strong><br />

BisulFlash DNA Modification Kit. Converted DNA was amplified by using primers<br />

for promoters containing numerous CpG sites and <strong>the</strong>n visualized on a 3.5% agarose<br />

gel under UV transillumination. The DAPK1 and p16 gene methylation status was<br />

correlated with age, menopause status, chemo<strong>the</strong>rapy, stage and histopathology <strong>of</strong><br />

<strong>the</strong> tumour.<br />

RESULTS: The frequencies <strong>of</strong> DAPK1 and p16 gene methylation in EOC patients<br />

was found to be 84% (p=0.0001) and 68%(p=0.0006) respectively . However<br />

no significant association was seen with age at diagnosis, menopause status,<br />

chemo<strong>the</strong>rapy, stage and histopathology.<br />

CONCLUSIONS: These results imply that promoter hypermethylation <strong>of</strong> DAPK1<br />

and p16 may be employed as clinically useful biomarkers for prognosis and diagnosis<br />

<strong>of</strong> EOC noninvasively using genomic DNA. We suggest that aberrant promoter<br />

methylation <strong>of</strong> DAPK1/p16 may serve as a useful biomarker during <strong>the</strong> follow-up<br />

<strong>of</strong> EOC.<br />

A-72<br />

Comparison <strong>of</strong> two different methods for CA19-9 antigen<br />

L. G. S. Assunção, B. S. Moura, L. Moutinho, M. D. Farace, H. Garcia.<br />

LABREDE, BELO HORIZONTE, Brazil<br />

Background: The CA19-9 is a silalylated form <strong>of</strong> <strong>the</strong> Lewis blood group antigen<br />

and is a marker for pancreatic cancer. The agreement <strong>of</strong> CA19-9 results between<br />

manufacturers is variable due to characteristics <strong>of</strong> <strong>the</strong> tests, standardization and do not<br />

achieve <strong>the</strong> performance for early detection but monitoring disease progression. This<br />

study intended to evaluate discrepancies between CA-19-9 immunoassay Abbott-<br />

Architect® method in pr<strong>of</strong>iciency and patient samples with similar upper reference<br />

limit.<br />

Methods: The assay CA19-9XR (Abbott Architect i2000) was compared with GI<br />

Access Monitor - Beckman Coulter®. The methods correlation and reference value<br />

were studied by analyzing 419 samples, obtained from a population <strong>of</strong> presumably<br />

healthy voluntary blood donors, sent to Labrede (Reference Laboratory in Specialized<br />

Diagnostics, MG, Brazil). The tests were performed according to <strong>the</strong> manufacturers’<br />

recommendations. Methods were compared using linear regression and <strong>the</strong> reference<br />

range was defined as <strong>the</strong> central 95% interval. Statistical analysis were performed<br />

by EP Evaluator® and applied CLSI nonparametric and parametric transformed<br />

protocols.<br />

A-73<br />

The evaluation <strong>of</strong> thyroglobulin measurement for clinical decision in<br />

patients with differentiated thyroid cancer<br />

S. Kittanakom, T. Feduszczak, J. Turner, A. Don-Wauchope. Hamilton<br />

Regional Laboratory Medicine Program, Department <strong>of</strong> Pathology and<br />

Molecular Medicine, McMaster University, Hamilton, ON, Canada<br />

Background and objective The follow-up and monitoring <strong>of</strong> serum thyroglobulin<br />

(Tg) is an important biomarker after thyroidectomy for differentiated thyroid cancer<br />

(DTC). Thyroglobulin (Tg) is a heterogenous 660-kDa glycoprotein and acts as prohormone<br />

in <strong>the</strong> intra-thyroid syn<strong>the</strong>sis <strong>of</strong> thyroid hormones. Serum thyroglobulin<br />

(Tg) is usually undetectable after treatment for DTC, and thus it is crucial for <strong>the</strong><br />

analytical assay to detect very low Tg levels. The aim <strong>of</strong> this study is to evaluate<br />

a possible change in method from radioimmunoassay (RIA) to an automated solidphase<br />

chemiluminescent immunoassay (ICMA) method.<br />

Method Method validation and comparision: In <strong>the</strong> new method, ICMA (Siemens<br />

Immulite), serum Tg is captured by ligand-labeled anti-Tg murine mAb and <strong>the</strong><br />

alkaline phosphatase conjugated sheep polyclonal anti-Tg antibody. The method was<br />

calibrated against <strong>the</strong> standard material (CRM457) and its analytical performance was<br />

evaluated for both precision and linearity. The current method is radioimmunoassay,<br />

RIA, (Schering S.A., France) based on a mixture <strong>of</strong> 4 monoclonal anti-Tg antibodies<br />

and also calibrated against <strong>the</strong> standard material (CRM457). Clinical requirements:<br />

A meeting with key users from surgery and endocrinology was held. The physicians<br />

were provided with <strong>the</strong> opportunity to describe <strong>the</strong>ir requirements. We provided<br />

information on <strong>the</strong> current assay, <strong>the</strong> proposed assay and <strong>the</strong> recommendations from<br />

NACB Laboratory Medicine Practice Guidelines (LMPG).<br />

Results Method validation and comparision: Immulite 2000 ICMA Tg assay claims<br />

an assay range <strong>of</strong> 0.73-84 ug/L with functional sensitivity <strong>of</strong> 0.9 ug/L. The imprecision<br />

A18 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Cancer/Tumor Markers<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

pr<strong>of</strong>iles (CV) are 8.4% repeatability (within-run), 17.8% within-lab (total) precision<br />

at level 5.43 ug/L. The linearity fit represented a correlation slope <strong>of</strong> 0.9795 (y=<br />

0.2876+0.9795x). Overall <strong>the</strong> results met <strong>the</strong> claims <strong>of</strong> <strong>the</strong> manufacturer for both<br />

within run and between run precision and for linearity. Comparative results from<br />

47 patient samples were evaluated by Passing-Bablok regression and Altman Bland<br />

plots. The results spanning 0.32 to 99.76 ug/L had a proportional bias <strong>of</strong> 1.45, and<br />

constant bias <strong>of</strong> 0.06. Similarly, <strong>the</strong> Altman Bland plot exhibited positive bias (5.318).<br />

Clinical requirements: The physicians are very satisfied with <strong>the</strong> RIA assay and<br />

<strong>the</strong> provision <strong>of</strong> both Tg and anti-Tg Ab result. They would like a faster turnaround<br />

time (TAT) as this would facilitate better patient care. They expressed concerns about<br />

antibody interference, differences between <strong>the</strong> two assays for individual patient<br />

results and <strong>the</strong> limit <strong>of</strong> detection. We recommended dual reporting for 12 months.<br />

Investigation <strong>of</strong> functional sensitivity for both assays, antibody interference will be<br />

performed and between run variability over 6 months as recommended in <strong>the</strong> LMPG.<br />

Conclusion: In management <strong>of</strong> DTC patients, very good analytical and functional<br />

sensitivity <strong>of</strong> <strong>the</strong> methods are critical to detect small amounts and/or to observe<br />

minimal changes in Tg concentration. The ICMA could be a suitable alternative as<br />

it provides a faster TAT and claims equal functional sensitivity to RIA. However,<br />

<strong>the</strong> different detection antibody may impact on individual patient results and <strong>the</strong><br />

interpretation <strong>the</strong>re<strong>of</strong>. The involvement <strong>of</strong> physicians in <strong>the</strong> planning process allowed<br />

us <strong>the</strong> opportunity to make additional recommendations for <strong>the</strong> implementation <strong>of</strong> <strong>the</strong><br />

proposed new assay.<br />

A-74<br />

WHAT ARE THE SERUM TUMOR MARKERS THAT BEST<br />

IDENTIFY OVARIAN MUCINOUS CANCER?<br />

C. CAÑAVATE SOLANO, A. GARCIA DE LA TORRE, J. D.<br />

SANTOTORIBIO, M. I. MORENO GARCIA, F. ARCE MATUTE, S.<br />

PEREZ RAMOS. Puerto Real University Hospital, Puerto Real (Cadiz),<br />

Spain,<br />

Background: Ovarian cancer is <strong>the</strong> second most common gynecologic malignancy<br />

and <strong>the</strong> most common cause <strong>of</strong> gynecologic cancer death in <strong>the</strong> United States.<br />

Mucinous tumors <strong>of</strong>ten contain cysts and glands lined by mucin-rich cells and<br />

constitute 5-20% <strong>of</strong> ovarian carcinomas. Measurement <strong>of</strong> <strong>the</strong> serum concentration<br />

<strong>of</strong> <strong>the</strong> cancer antigen 125 (CA 125) is <strong>the</strong> most widely studied biochemical method<br />

<strong>of</strong> screening for ovarian cancer. Cancer antigen 19.9 (CA 19.9) is a mucin protein<br />

that may be elevated in ovarian cancer. The aim <strong>of</strong> this study was to determine <strong>the</strong><br />

accuracy <strong>of</strong> serum tumor markers for <strong>the</strong> diagnosis <strong>of</strong> ovarian mucinous cancer.<br />

Methods: Samples were collected preoperatively from patients for ovarian mucinous<br />

tumors. Two categories <strong>of</strong> patients were included in <strong>the</strong> analysis: Not ovarian<br />

cancer (ovarian mucinous cystadenomas and ovarian mucinous borderline tumors)<br />

and ovarian mucinous cancer. The following serum tumor markers were analysed:<br />

alpha fetoprotein (AFP), carcinoembryonic antigen (CEA), cancer antigen 15.3 (CA<br />

15.3), CA 19.9 and CA 125. All serum tumor markers levels were determined by<br />

electrochemiluminescence immunoassay (ECLIA) in MODULAR E-170 (ROCHE<br />

DIAGNOSTIC ® ). Statistical analysis was performed using <strong>the</strong> s<strong>of</strong>tware MEDCALC ® .<br />

Results: We studied 102 patients with ages between 15 and 80 years (average = 44<br />

years). Ninety <strong>of</strong> 102 patients were not cancer (76 ovarian mucinous cystadenomas<br />

and 14 ovarian mucinous borderline tumors) and 12 were ovarian mucinous cancer.<br />

AFP, CEA and CA 15.3 were not statistically significantly different. AUC, cut<strong>of</strong>f<br />

value, sensitivity and specificity are shown in <strong>the</strong> following table:<br />

(CI: confidence interval)<br />

Sensitivity Specificity<br />

AUC (95 % CI) Cut<strong>of</strong>f<br />

(95 % CI) (95 % CI)<br />

0.83<br />

66.7 % 88,9 %<br />

CA 125<br />

59.08 U/ml<br />

CA 19.9<br />

(0.70-0.92) (p=0.0016)<br />

0.82<br />

(0.69-0.91) (p=0.0024)<br />

37.21 U/ml<br />

(22.7- 94.7)<br />

83.3 %<br />

(36.1- 97.2)<br />

(75.9- 96.3)<br />

79.5 %<br />

(64.7- 90.2)<br />

Conclusion: CA 125 and CA 19.9 were <strong>the</strong> serum tumor markers that showed a higher<br />

accuracy for <strong>the</strong> diagnosis <strong>of</strong> ovarian mucinous cancer. Preoperative CA19.9 and CA<br />

125 levels can be used to predict whe<strong>the</strong>r a suspected ovarian mucinous tumor is<br />

benign or malignant.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A19


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Automation/Computer Applications<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Automation/Computer Applications<br />

A-75<br />

CUSUM-Logistic Regression Analysis <strong>of</strong> Patient Laboratory Test<br />

Results for Monitoring Quality Controlr<br />

V. Gounden 1 , M. L. Sampson1, H. E. van Deventer 2 , A. T. Remaley 1 .<br />

1<br />

Department <strong>of</strong> Laboratory Medicine, Clinical Center, National Institutes<br />

<strong>of</strong> Health, Be<strong>the</strong>sda, MD, 2 Lancet Laboratories, Johannesburg, South<br />

Africa<br />

Background: The periodic analysis <strong>of</strong> quality control (QC) material is <strong>the</strong> primary<br />

method for monitoring <strong>the</strong> analytical performance <strong>of</strong> most laboratory tests. The main<br />

drawback <strong>of</strong> this approach is that test performance is not monitored in <strong>the</strong> period<br />

between QC material, which can result in <strong>the</strong> reporting <strong>of</strong> a large number <strong>of</strong> inaccurate<br />

results until a problem is discovered. The use <strong>of</strong> QC procedures based on patient test<br />

results, such as Average <strong>of</strong> Normals and Bulls algorithm, can help limit this problem,<br />

but <strong>the</strong>se approaches are relatively insensitive and <strong>of</strong>ten require a large number <strong>of</strong><br />

inaccurate test results before a problem can be detected. The objective <strong>of</strong> this study<br />

was to develop a new patient based QC procedure for as close as possible <strong>the</strong> “real<br />

time” detection <strong>of</strong> test errors.<br />

Method: Chem-14 panel results (Na, K, CL, urea, creatinine,HCO3, ALP, ALT,<br />

AST, glucose, albumin, Ca, total protein, total bilirubin) from a LX20 analyzer<br />

were collected over a five year period. Non-normally distributed data were log<br />

transformed. Each test result was predicted from <strong>the</strong> o<strong>the</strong>r 13 members <strong>of</strong> <strong>the</strong> panel by<br />

multiple regression, which resulted in correlation coefficients between <strong>the</strong> predicted<br />

and measured result <strong>of</strong> >0.7 for 8 <strong>of</strong> <strong>the</strong> 14 tests. A logistic regression model was<br />

developed for predicting a systematic proportional bias that utilized <strong>the</strong> measured test<br />

result, <strong>the</strong> predicted result, <strong>the</strong> day <strong>of</strong> <strong>the</strong> week and time <strong>of</strong> day. Reported test results<br />

and ma<strong>the</strong>matically transformed values to simulate laboratory errors were used to<br />

train <strong>the</strong> logistic regression model. The output <strong>of</strong> <strong>the</strong> logistic regression model, which<br />

varied from 0 to 1, was tallied using a daily CUSUM approach. The desired level<br />

<strong>of</strong> error detection was based on CLIA guidelines for total allowable error and was<br />

set to limit false positives to only once every 10 days. Validation <strong>of</strong> <strong>the</strong> model was<br />

performed using a second independent set <strong>of</strong> patient data.<br />

Results: The following are <strong>the</strong> average run lengths (ARL) before error detection by<br />

CUSUM-Logistic regression for each analyte: Na 9.5(SD ± 3); K 15.5(SD ±5.5);<br />

CL 7.6(SD± 1.7); urea 40.3(SD± 23.6); creatinine 18.0(SD± 6.7); HCO3 64.3(SD±<br />

56.6); ALP 5.9(SD± 1.1); ALT 9.3(SD± 2.8), AST 10.1(SD± 1.8); glucose 5.5 (SD±<br />

1.4); albumin 27.2(SD± 13.2); Ca 3.9 (SD± 1.0); total protein 18.5(SD± 6.1) and total<br />

bilirubin 27.1(SD ± 21.6).<br />

In general, tests that showed a close correlation with ano<strong>the</strong>r test in <strong>the</strong> panel had <strong>the</strong><br />

smallest ARL. A few tests,such as albumin which varied greatly depending on <strong>the</strong><br />

patient population (for example critically ill patients), also benefited from inclusion <strong>of</strong><br />

<strong>the</strong> time <strong>of</strong> day and day <strong>of</strong> week into <strong>the</strong> model. For even those tests with relatively<br />

long ARL, such as HCO3, <strong>the</strong> time for error detection would still be typically less than<br />

<strong>the</strong> time period between <strong>the</strong> analyses <strong>of</strong> QC material for most clinical laboratories.<br />

Conclusion: A CUSUM-Logistic Regression analysis <strong>of</strong> patient laboratory data can<br />

be effectively used for <strong>the</strong> rapid detection <strong>of</strong> analytical laboratory errors.<br />

A-76<br />

Efficiencies realized 12-months post-implementation <strong>of</strong> an automatic<br />

tube sorting and registration system in a core laboratory<br />

F. Ucar 1 , M. Y. Taslıpınar 1 , G. Ozturk 1 , Z. Ginis 1 , G. Erden 1 , E. Bulut 1 ,<br />

N. Delibas 2 . 1 Diskapi Yildirim Beyazit Training and Research Hospital,<br />

Department <strong>of</strong> Clinical Biochemistry, Ankara, Turkey, 2<br />

Hacettepe<br />

University Medical School, Department <strong>of</strong> Biochemistry, Ankara, Turkey<br />

Backgrounds: Laboratories are centers that have different and hard workload<br />

throughout <strong>the</strong> working day to achieve reliable laboratory data. Sample classification<br />

and registration have been recognized as an important and time-consuming process.<br />

When considering <strong>the</strong>se processes, particularly higher-volume core laboratories<br />

have <strong>the</strong> potential to face with more problems such as need for more staff, delays<br />

and an increased variety <strong>of</strong> preanalytical errors. There is an increasing pressure on<br />

laboratories to automate processes due to intense workload and to reduce manual<br />

processes and errors. Very few studies to date have focused on <strong>the</strong> outcomes <strong>of</strong><br />

implementation <strong>of</strong> automatic tube registration and sorting systems. In <strong>the</strong> present<br />

study, we aimed to evaluate <strong>the</strong> effects <strong>of</strong> an automatic tube registration and sorting<br />

system on <strong>the</strong> improvement <strong>of</strong> <strong>the</strong> specimen processing (specimen rejection and/<br />

or loss, tubes flow, laboratory productivity, turnaround time (TAT) <strong>of</strong> test results,<br />

decreasing human errors).<br />

Methods: We evaluated an automatic tube registration and sorting system (HCTS2000<br />

MK2, m-u-t AG, Wedel, Germany) which was designed for clinical laboratories to sort<br />

closed primary sample tubes in accordance with <strong>the</strong> barcode information or through<br />

queries to <strong>the</strong> LIS. Each tube was separated from <strong>the</strong> o<strong>the</strong>rs and uniquely identified<br />

and sorted into one <strong>of</strong> <strong>the</strong> target brings (It sorts up to 2000 tubes per hour). All <strong>of</strong> <strong>the</strong><br />

estimated data, before (25 Feb 2010-24 Feb 2011) and after (25 Feb 2011-25 Feb<br />

2012) <strong>the</strong> implementation <strong>of</strong> <strong>the</strong> system were analyzed. TAT, <strong>the</strong> rate <strong>of</strong> <strong>the</strong> number<br />

<strong>of</strong> rejected samples and <strong>the</strong> unrealized samples (samples which had reached to <strong>the</strong><br />

laboratory but were not realized for requested tests due to variable causes such as<br />

sample sorting errors and mislabeling errors) were compared. The number <strong>of</strong> tests<br />

performed in our laboratory in <strong>the</strong> year prior to <strong>the</strong> establishment <strong>of</strong> <strong>the</strong> system<br />

was 3.286.346, <strong>the</strong> number <strong>of</strong> <strong>the</strong> patients 457.143, <strong>the</strong> number <strong>of</strong> <strong>the</strong> sample tubes<br />

820.081, <strong>the</strong> number <strong>of</strong> unrealized tests 148.886 (4.5%) and <strong>the</strong> number <strong>of</strong> rejected<br />

samples was 3351 (0.40%) respectively. For 12-months post-implementation <strong>of</strong><br />

<strong>the</strong> system, <strong>the</strong> number <strong>of</strong> tests performed in our laboratory was 4.874.670, <strong>the</strong><br />

number <strong>of</strong> <strong>the</strong> patients 459.476, <strong>the</strong> number <strong>of</strong> sample tubes 920.152, <strong>the</strong> number <strong>of</strong><br />

unrealized tests 68.874 (1.4%) and <strong>the</strong> number <strong>of</strong> rejected samples was 1661 (0.18%)<br />

respectively. Approximately 33% decrease was found in TAT after <strong>the</strong> establishment<br />

<strong>of</strong> tube registration and sorting system. The number <strong>of</strong> rejected samples and unrealized<br />

tests were significantly decreased.<br />

Conclusions: By reducing delays and errors in preanalytical processing and sorting <strong>of</strong><br />

samples, significant improvements in TAT and unrealized number <strong>of</strong> laboratory tests<br />

were observed after <strong>the</strong> establishment <strong>of</strong> <strong>the</strong> system. Implementation <strong>of</strong> <strong>the</strong> system<br />

also decreased specimen rejection rates. Technological advances in laboratory systems<br />

have made important differences on laboratory workload and efficiency reducing<br />

manual processes and errors as well as increasing data reliability. An automatic tube<br />

registration and sorting system may also be suggested on <strong>the</strong> improvement <strong>of</strong> <strong>the</strong><br />

specimen processing in a higher-volume core laboratory.<br />

A-77<br />

Detection <strong>of</strong> tumor cells in body fluids using <strong>the</strong> automated<br />

morphological analysis system CellaVision DM96 following <strong>the</strong><br />

automated cell counting by <strong>the</strong> Sysmex XE5000.<br />

H. Takemura 1 , Y. Tabe 2 , K. Ishii 1 , K. Kasuga 3 , T. Horii 1 , T. Miida 2 , A.<br />

Ohsaka 1 . 1 Juntendo University Hospital, Tokyo, Japan, 2 Juntendo University<br />

School <strong>of</strong> Medicine, Tokyo, Japan, 3 Cella Vision AB, Lund, Sweden<br />

Background: Cell enumeration and differential analysis <strong>of</strong> nucleated cells in body<br />

fluid is important diagnostic tool for several diseases including cancer. In recent years,<br />

automated hematology analyzers have been valued as an acceptable alternative to <strong>the</strong><br />

microscopic cell counts <strong>of</strong> body fluid material. However, <strong>the</strong> detection <strong>of</strong> tumor cells<br />

in body fluids still requires <strong>the</strong> microscopy-based manual analysis, which is timeconsuming<br />

and labor-intensive. In this study, we investigated <strong>the</strong> capability <strong>of</strong> <strong>the</strong><br />

automated morphological analysis system CellaVision DM96 (DM96; Cellavision,<br />

Lund, Sweden) to detect tumor cells in body fluids, and fur<strong>the</strong>r evaluated <strong>the</strong> efficacy<br />

<strong>of</strong> systemic processing <strong>of</strong> <strong>the</strong> DM96 following an automated cell counting by <strong>the</strong><br />

Sysmex XE-5000 (XE-5000; Sysmex, Kobe, Japan) for screening <strong>of</strong> cancer cells in<br />

body fluids.<br />

Methods: A total <strong>of</strong> 61 body fluid samples (pleural fluids 45 and ascitic fluids 16)<br />

obtained from patients with various cancers were analyzed. For cell enumeration,<br />

<strong>the</strong> manual cell counting with hemocytometer was performed. The hematology<br />

analyzer XE-5000 determined <strong>the</strong> number <strong>of</strong> cells with differential counts, including<br />

polymorphonuclear cells (PMNs), mononuclear cells (MNs), and high fluorescence<br />

cells (HF-BF) that are corresponding with macrophages, meso<strong>the</strong>lial cells, and<br />

tumor cells. For morphological analysis, cytospin slides were prepared with <strong>the</strong><br />

May-Grunwald Giemsa staining method. Manual differential counts (100 cells) were<br />

performed by two experienced technologists. Subsequently, all slides were analyzed<br />

by <strong>the</strong> DM96 with verification by two laboratory technologists (post-classification).<br />

To detect tumor cells, we reviewed <strong>the</strong> DM96 overview scanning images <strong>of</strong> each<br />

sample. Cytological examination (Papanicolaou stain) was performed for <strong>the</strong> clinical<br />

diagnosis <strong>of</strong> invasion <strong>of</strong> tumor cells. Pearson’s product-moment correlation coefficient<br />

A20 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Automation/Computer Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

test and Spearman’s rank correlation coefficient test were used for statistical analysis.<br />

This study was approved by <strong>the</strong> Juntendo University Institutional Review Board and<br />

performed in accordance with institutional guidelines.<br />

Results: In <strong>the</strong> test for accuracy, correlation coefficients between <strong>the</strong> manual cell<br />

counting and <strong>the</strong> XE-5000 showed good results for total cell number (r=0.990), for<br />

PMNs (r=0.989) and for MNs (r=0.994). For cell differentiation, <strong>the</strong> DM96 (postclassification)<br />

resulted in a good correlation to <strong>the</strong> manual observation (r=0.953). We<br />

also found a high correlation coefficient between <strong>the</strong> HF-BF cells % (XE-5000) and<br />

<strong>the</strong> non-hematopoietic cells % (DM96) (r=0.975). Cytological examination detected<br />

tumor cells in 25/61 cases, and tumor cells positive samples showed significantly<br />

higher HF-BF cells % than negative samples (p=0.01). With regard to sensitivity for<br />

detecting tumor cells, <strong>the</strong> manual microscopic observation had a sensitivity <strong>of</strong> 76%,<br />

<strong>the</strong> DM96 automated analysis (post-classification) had a sensitivity <strong>of</strong> 52%, and <strong>the</strong><br />

review <strong>of</strong> <strong>the</strong> DM96 overview scanning images showed <strong>the</strong> highest sensitivity <strong>of</strong> 80%.<br />

Conclusion: The automated image-recognition technology <strong>of</strong> <strong>the</strong> DM96 may provide<br />

satisfactory detection <strong>of</strong> tumor cells in body fluids. A combination <strong>of</strong> enrichment with<br />

<strong>the</strong> XE-5000 hematology analyzers followed by <strong>the</strong> DM96 morphologic analysis may<br />

be an attractive alternative to <strong>the</strong> manual methods for primary cancer screening in<br />

body fluids.<br />

A-78<br />

Regression, difference graph and mountain plots<br />

A. Kallner. Karolinska University hospital, Stockholm, Sweden<br />

Background: Develop additional calculations and visual tools to enhance <strong>the</strong><br />

evaluation <strong>of</strong> method comparison data. Introduce <strong>the</strong> concept <strong>of</strong> an A-zone and B+C<br />

zones, and <strong>the</strong> “empirical cumulative frequency” or “mountain plot” (CLSI EP 21) in<br />

a multifunctional and interactive spreadsheet.<br />

Methods: Results from a comparison <strong>of</strong> T4 concentration measurements by two<br />

methods were displayed in a scatterplot. Data, single or duplicate measurements were<br />

partitioned in three intervals and <strong>the</strong> regression estimated in each using ordinary linear<br />

regression (OLR). This allows <strong>the</strong> <strong>the</strong> dataset and/or <strong>the</strong> differences to be suitably<br />

truncated. The entire dataset was evaluated by OLR and/or Deming regression. The<br />

necessary λ-value should be defined according to known or measured (duplicates)<br />

measurement uncertainty. The distribution <strong>of</strong> <strong>the</strong> differences between <strong>the</strong> methods<br />

was evaluated as skewness and a statistical significance calculated by Student’s t-test<br />

and Wilcoxon signed rank test. The absolute and relative differences were shown<br />

in Bland-Altman-type graphs and with a “tilted mountain plot” superimposed. The<br />

A-zone could be set to any predefined value for <strong>the</strong> entire dataset or chosen partitions.<br />

Results: Comparison <strong>of</strong> results is <strong>of</strong>ten limited to regression analyses, difference<br />

graphs and a significance test. In this report we introduce a considerable flexibility in<br />

managing <strong>the</strong> data, a new use <strong>of</strong> <strong>the</strong> mountain plot and interpretation <strong>of</strong> <strong>the</strong> difference<br />

plot and defining acceptable zones as a complement to correlation estimates and risk<br />

analyses<br />

Conclusion: A simple and straight forward spreadsheet programming can add much<br />

to <strong>the</strong> evaluation and understanding <strong>of</strong> method comparisons.<br />

Figure. Difference graph with partitions and limits <strong>of</strong> differences and <strong>the</strong> “tilted”<br />

mountain plot<br />

A-80<br />

Integration <strong>of</strong> an Automated Sample Preparation Workstation for <strong>the</strong><br />

Analysis <strong>of</strong> Immunosuppressant Drugs by LC-MS/MS<br />

R. Zhang 1 , M. Jarvis 2 , A. Taylor 2 . 1 Beckman Coulter, Indianapolis, IN, 2 AB<br />

SCIEX, Concord, ON, Canada<br />

Background:For Research Use Only. Not For Use In Diagnostic Procedures.<br />

Liquid chromatography-tandem mass spectrometry technology provides laboratories<br />

with a powerful tool for robust, accurate, sensitive detection <strong>of</strong> a wide variety <strong>of</strong><br />

analytes. Method automation reduces <strong>the</strong> possibility <strong>of</strong> human error at many different<br />

stages, including preparation <strong>of</strong> calibration standards, sample preparation, and<br />

data processing. The objective <strong>of</strong> this work was <strong>the</strong> automation <strong>of</strong> an LC-MS/MS<br />

method for <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> immunosuppressant drugs Tacrolimus, Cyclosporine<br />

A, Sirolimus, and Everolimus, to eliminate human error, increase reproducibility,<br />

eliminate subjectivity during data processing, and save time.<br />

Methods:An LC-MS/MS method for <strong>the</strong> analysis <strong>of</strong> immunosuppressant drugs<br />

was developed, making use <strong>of</strong> commercially available whole blood calibrators and<br />

controls. In addition to manual preparation, all steps <strong>of</strong> sample processing could<br />

be automated using a BioMek NXP platform. The sample preparation consisted <strong>of</strong><br />

a simple protein precipitation using ZnSO4 solution. After centrifugation, <strong>the</strong> clear<br />

supernatant was injected directly onto <strong>the</strong> LC-MS/MS system. Samples were loaded<br />

in test tube format and <strong>the</strong> final samples were prepared in a 96-well plate format. The<br />

LC-MS/MS data acquisition, processing, and reporting were automatically performed<br />

using <strong>the</strong> Cliquid® s<strong>of</strong>tware.<br />

Results:The reproducibility <strong>of</strong> <strong>the</strong> automated protocol versus manual protocol<br />

was assessed by preparing and analyzing replicates <strong>of</strong> each calibration standard.<br />

The measured CVs were at least equivalent between protocols over <strong>the</strong> entire<br />

concentration range covered by <strong>the</strong> assay. The method displayed good linearity for all<br />

four immunosuppressant drugs, with R>0.999.<br />

Conclusion: The automation <strong>of</strong> an LC-MS/MS method for <strong>the</strong> analysis <strong>of</strong> <strong>the</strong><br />

immunosuppressant drugs Tacrolimus, Cyclosporine A, Sirolimus, and Everolimus<br />

was achieved. The automation eliminates human error, increases reproducibility,<br />

eliminates subjectivity during data processing and saves time.<br />

A-81<br />

A Novel Personalized Delta Check Approach<br />

T. Kampfrath, J. Miller. University <strong>of</strong> Louisville, Louisville, KY<br />

Introduction: Inaccuracies in specimens <strong>of</strong> patients may lead to misdiagnosis and<br />

inappropriate <strong>the</strong>rapy. The primary purpose <strong>of</strong> a delta check is to detect misidentified<br />

specimens. The delta check procedure compares <strong>the</strong> change in concentration <strong>of</strong> an<br />

analyte with a delta check limit (DCL) for that analyte. A change greater than <strong>the</strong><br />

DCL sets a delta check flag for that analyte and will be fur<strong>the</strong>r investigated by <strong>the</strong><br />

technologist. This procedure is called univariate (multianalyte) delta check (UDC)<br />

and generates many false positive flags. DCL’s are typically taken from <strong>the</strong> literature<br />

independent from <strong>the</strong> patient population served by <strong>the</strong> laboratory. Here, we describe<br />

a novel s<strong>of</strong>tware tool that customizes <strong>the</strong> DCL for historical patient data <strong>of</strong> that<br />

particular laboratory.<br />

Methods: The s<strong>of</strong>tware accepts BMP or o<strong>the</strong>r laboratory results from an output<br />

file from <strong>the</strong> LIS, or from manual input. These results are assumed to be correctly<br />

identified and free <strong>of</strong> interferences and contamination. Next, it generates a set <strong>of</strong><br />

misidentified samples by intentionally pairing results from two different patients.<br />

Additionally, for each analyte individually, <strong>the</strong> program determines which delta<br />

check type (absolute change, percent change, rate <strong>of</strong> absolute change, or rate <strong>of</strong><br />

percent change) best differentiates correctly identified and misidentified samples for<br />

that analyte. The s<strong>of</strong>tware uses <strong>the</strong> optimum delta check type for each analyte and<br />

calculates <strong>the</strong> sensitivity, specificity and efficiency for each analyte alone and in all<br />

255 possible combinations.<br />

Results: The output <strong>of</strong> <strong>the</strong> s<strong>of</strong>tware is a table <strong>of</strong> <strong>the</strong> most efficient delta check<br />

combinations along with a comparison to <strong>the</strong> laboratory’s current delta-check system.<br />

Fur<strong>the</strong>rmore <strong>the</strong> s<strong>of</strong>tware possesses a unique feature that allows <strong>the</strong> user to determine<br />

<strong>the</strong> maximum number <strong>of</strong> flags <strong>the</strong> laboratory can handle per day or per shift and<br />

adjusts <strong>the</strong> DCL accordingly.<br />

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Tuesday, July 30, 9:30 am – 5:00 pm<br />

Automation/Computer Applications<br />

Conclusion: Here, for <strong>the</strong> first time we are able to allow <strong>the</strong> laboratory director to set<br />

<strong>the</strong> DCL according to <strong>the</strong> laboratory’s patient population and staffing constraints. This<br />

novel s<strong>of</strong>tware tool objectively optimizes <strong>the</strong> Delta Check procedure for a laboratory<br />

and can save time and money by reducing <strong>the</strong> number <strong>of</strong> false positive delta check<br />

flags without sacrificing sensitivity.<br />

A-82<br />

Workflow Process Improvement and Quality in Biochemistry Lab:<br />

DSM Westman Labs’ Journey<br />

B. Olyarnyk 1 , C. Brown 1 , C. Bauman 1 , P. Payette 2 , J. Korbo 2 , A. Sokoro 1 .<br />

1<br />

Diagnostic Services <strong>of</strong> Manitoba - Westman Laboratory, Brandon, MB,<br />

Canada, 2 Roche Diagnostics, Laval, QC, Canada<br />

Introduction: The Institute <strong>of</strong> Medicine’s (IOM) healthcare domains for assessment<br />

<strong>of</strong> laboratory quality provides attributes <strong>of</strong> a laboratory test: safe, effective, patientcentered,<br />

timely, efficient and, equitable. Laboratories must aim to meet <strong>the</strong>se criteria.<br />

Automation, particularly, preanalytical automation provides <strong>the</strong> opportunity to meet<br />

<strong>the</strong>se criteria. At Diagnostic Services <strong>of</strong> Manitoba (DSM) we have engaged ourselves<br />

to meet this obligation in our service. Westman lab is one <strong>of</strong> DSM’s tertiary care labs<br />

that also act as a reference lab. The Biochemistry section processes approximately<br />

752,000 samples annually (~2.5 million tests). About 20% <strong>of</strong> <strong>the</strong> samples are from<br />

<strong>the</strong> 150-bed attached hospital: <strong>the</strong> rest are referral work. Most <strong>of</strong> <strong>the</strong> specimens arrive<br />

throughout <strong>the</strong> end <strong>of</strong> <strong>the</strong> dayshift and throughout <strong>the</strong> evening shift. Approximately<br />

50% <strong>of</strong> <strong>the</strong>se samples are destined for <strong>the</strong> automated analyzers, which includes two<br />

cobas 6000 lines served by a Modular Pre-Analytics (MPA) preanalytical system and<br />

one Integra 800.<br />

Objective: To redesign and implement <strong>the</strong> biochemistry lab workflow processes<br />

utilizing LEAN concepts.<br />

Methods: Workflow mapping <strong>of</strong> <strong>the</strong> biochemistry lab and specimen management area<br />

was done leading to analysis <strong>of</strong> inefficiencies in <strong>the</strong> outpatient testing process. All <strong>of</strong><br />

<strong>the</strong> processes were <strong>the</strong>n streamlined to conform to LEAN concepts. This included<br />

protocols for telephone handling, sample registration and triaging, insufficient<br />

volumes, acceptable container types, and staffing. Outcome measures that were used<br />

included turnaround time (TAT), sample rejection rates, testing volumes, and staff<br />

workload/satisfaction.<br />

Results: TAT improved five-fold and NSQ by over nine-fold; all this despite a<br />

challenging service demand <strong>of</strong> 30,000 samples per month on <strong>the</strong> MPA. Employee<br />

satisfaction improved among <strong>the</strong> second shift as <strong>the</strong> workload evened out.<br />

Conclusion: Preanalytical automation and streamlining <strong>of</strong> workflow processes<br />

utilizing LEAN concepts improves laboratory efficiency and quality. Those<br />

improvements facilitate <strong>the</strong> provision <strong>of</strong> services with attributes that meet <strong>the</strong> Institute<br />

<strong>of</strong> Medicine’s (IOM) healthcare domains for laboratory quality.<br />

A-83<br />

A Design-<strong>of</strong>-Experiment Approach to <strong>the</strong> Optimization <strong>of</strong> Automated<br />

Sample Preparation <strong>of</strong> Clinical Samples<br />

R. H. Wohleb, R. Geyer, M. Svoboda, K. Adelberger, G. Burssens. Tecan<br />

Schweiz AG, Männedorf, Switzerland<br />

Background: Clinical analytes from biological fluids must be separated from <strong>the</strong><br />

sample matrix prior to a multi-parameter LC-MS/MS analysis in order to minimize <strong>the</strong><br />

deterioration <strong>of</strong> chromatographic separation or ionization <strong>of</strong> <strong>the</strong> analytes. As a simple<br />

and easy-to-use tool for sample preparation, <strong>the</strong> AC Extraction Plate was developed<br />

which separates Immunosuppressants and/or o<strong>the</strong>r analytes from <strong>the</strong> sample matrix.<br />

The purifying process requires <strong>the</strong> use <strong>of</strong> three liquid mixtures for extraction, wash<br />

and elution. A 5 to 10 min plate shaking process replaces cumbersome centrifugation/<br />

evacuation steps. The “pipette-and-shake” workflow allows for <strong>the</strong> efficient<br />

optimization <strong>of</strong> <strong>the</strong> parameters involved in <strong>the</strong> sample preparation procedure with a<br />

liquid-handling workstation using a Design-<strong>of</strong>-Experiment (DoE) approach.<br />

Objective: It is imperative that a proper pH be combined with solvents, modifying<br />

salts and o<strong>the</strong>r reagents that enable cell lysis and minimize analyte protein binding<br />

while preventing protein precipitation. The object <strong>of</strong> this study was to develop an<br />

automated approach to <strong>the</strong> optimization <strong>of</strong> <strong>the</strong>se process parameters and workflow<br />

using Design-<strong>of</strong>-Experiment (DoE).<br />

Materials and instrumentation:<br />

1. Absorption Chemistry coated 96 well plate _ Tecan AC Extraction plate®<br />

2. Freedom EVO® Liquid Handling workstation (TECAN, Switzerland) equipped<br />

with a plate shaker (Te-Shake)<br />

3. Shimadzu Prominence HPLC connected to an AB SCIEX 4000 QTRAP®.<br />

Methodology: The four Immunosuppressants, Cyclosporine D, Everolimus, Sirolimus<br />

and Tacrolimus were determined quantitatively from whole blood extracts by LC-MS/<br />

MS. The extraction step is strongly dependent on <strong>the</strong> pH and <strong>the</strong> organic content <strong>of</strong> <strong>the</strong><br />

extraction solvent. The ratio <strong>of</strong> aqueous modifier to organic solvent(s)was optimized.<br />

The workflow using <strong>the</strong> extraction plate was performed in <strong>the</strong> following way:<br />

1) A modifier was mixed with an organic solvent.<br />

2) This mixture was combined with serum containing <strong>the</strong> analyte <strong>of</strong> interest in <strong>the</strong> well<br />

<strong>of</strong> <strong>the</strong> Extraction Plate.<br />

3) After extraction by orbital shaking <strong>of</strong> <strong>the</strong> plate, <strong>the</strong> solution was removed completely<br />

and a wash solution was added to each well.<br />

4) After <strong>the</strong> wash, <strong>the</strong> analytes were eluted with an elution solvent and analyzed<br />

quantitatively by LC-MS/MS.<br />

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Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results:16 Variations <strong>of</strong> 5 parameters (3 salts and 2 solvents) were used to determine<br />

<strong>the</strong>ir influence on <strong>the</strong> MS/MS peak areas <strong>of</strong> <strong>the</strong> four Immunosuppressants when<br />

from spiked whole blood. Enhancement <strong>of</strong> <strong>the</strong> signal intensity and/or signal_to-noise<br />

values (S/N) for <strong>the</strong> Immunosuppressant extraction was determined for <strong>the</strong> chemical<br />

parameters Acetonitrile, LiCI, Ascorbic acid, NH4OH, Carbonate, Isopropanol. A<br />

negative influence was found for Methanol, Ethanol, Formic acid, NaCholate and<br />

Citrate. Ammonium acetate and GDTA were ra<strong>the</strong>r neutral.<br />

Conclusions: The automated “pipette-and-shake” workflow allowed for <strong>the</strong> efficient<br />

DoE optimization <strong>of</strong> <strong>the</strong> parameters involved in <strong>the</strong> sample preparation procedure.<br />

Using this approach with <strong>the</strong> extraction plate, a set <strong>of</strong> 15 parameters (e.g., pH, salt,<br />

solvent) could be screened with only 4 experiments without changing <strong>the</strong> protocol<br />

for <strong>the</strong> liquid handling workstation. An optimized mixture for <strong>the</strong> extraction <strong>of</strong><br />

Immunosuppressants Cyclosporine D, Everolimus, Sirolimus and Tacrolimus<br />

from whole blood was selected. An improved sensitivity for all four analytes <strong>of</strong><br />

approximately 3-4 fold was achieved by using <strong>the</strong> Design-<strong>of</strong>-Experiment (DoE)<br />

approach.<br />

A-84<br />

Direct Sampling From Pediatric Collection Tubes on <strong>the</strong> Abbott<br />

Architect Clinical Chemistry Instruments<br />

M. S. Warner 1 , C. Wilson 2 . 1 Winston-Salem State University, Winston-<br />

Salem, NC, 2 UNT, Denton, TX<br />

Background The ability to sample directly from pediatric collection tubes eliminates<br />

<strong>the</strong> need to transfer small volume samples to sample cups for testing and maintaining<br />

sample identity integrity. A feasibility study was performed to find an acceptable dead<br />

volume for several peditube types investigated.<br />

Method Testing was performed using five typical, readily available pediatric collection<br />

tubes, (four contained Lithium Heparin), and three sample tubes with false bottoms.<br />

Architect sample cups were tested as controls. Assays were AlbG, CaC, GluC, Na-C,<br />

K-C, Cl-C and TP with 2.0uL to 15.0uL sample volumes. The initial sample volume<br />

was based on each assay’s insert, with an 8uL sample overaspiration volume (23uL<br />

for ISE assays), plus a 50uL dead volume. Assays were ordered with 5 reps per assay.<br />

BioRad LiquiChek Level 2 was used for sample and was pipetted directly into <strong>the</strong><br />

tubes. The weight <strong>of</strong> each tube was recorded before and after sample was added.<br />

Architect sample cup and false bottom tubes were placed directly into sample carriers.<br />

The remaining five pediatric tubes were placed in Becton-Dickinson tube extenders<br />

in sample carriers. After testing, tubes were weighed again and <strong>the</strong> weight recorded.<br />

Volume remaining in tubes was calculated from <strong>the</strong> density <strong>of</strong> <strong>the</strong> sample. Tubes with<br />

aspiration errors before 5 reps completed were re-tested with increased 10uL dead<br />

volume. Process continued until 5 reps for each assay completed with acceptable<br />

results. Study was repeated with a new sample volume based on increased dead<br />

volume. After <strong>the</strong> run with five replicates completed successfully, <strong>the</strong> process was<br />

repeated in single replicates for all tubes without aspiration errors. The tubes were<br />

re-weighed and weights recorded. Process was repeated until an aspiration error was<br />

obtained for each tube. The volume remaining in <strong>the</strong> last tube with acceptable results<br />

was calculated from <strong>the</strong> density <strong>of</strong> <strong>the</strong> sample and <strong>the</strong> dead volume for each tube<br />

determined. Pediatric collection tubes used were Becton Dickson BD 365958, Becton<br />

Dickson BD 365987, Greiner 450479, Sarstedt 16.443.100 and Terumo T-MLHG.<br />

False bottom tubes were Sarstedt 60.613.010, Sarstedt 60.614.010 and Sarstedt<br />

60.617.010.<br />

Results This study was successful if all five replicates initially run completed without<br />

any aspiration errors and with acceptable results. Six replicates for each assay, a total<br />

<strong>of</strong> 42 tests, completed without any aspiration errors and with acceptable results.<br />

Suggested dead volumes for <strong>the</strong> tubes were determined to be 85uL for BD-365958,<br />

93uL for BD-365987, 75uL for Greiner 450479, 77uL for Sarstedt 16.443.100, 78uL<br />

for Terumo T-MLHG and 74uL for Sarstedt 60.613.010, Sarstedt 60.614.010 and<br />

Sarstedt 60.617.010. The gel layer in <strong>the</strong> pediatric collection tubes and <strong>the</strong> shape <strong>of</strong> <strong>the</strong><br />

false bottom tubes contributed to <strong>the</strong> dead volume required to get acceptable results.<br />

Conclusion An acceptable dead volume can be assigned for each <strong>of</strong> <strong>the</strong> specific tube<br />

types that were investigated. The use <strong>of</strong> validated peditubes allows direct sampling <strong>of</strong><br />

critical volume samples, eliminating <strong>the</strong> manual transfer step and <strong>the</strong> possibility <strong>of</strong><br />

patient misidentification and potential labeling errors when <strong>the</strong> sample is transferred<br />

from a peditube to a sample cup.<br />

A-85<br />

Validation <strong>of</strong> DRG:Hybrid XL, a Fully Automated Random Access<br />

Analyzer for Immunoassays and Clinical Chemistry, for 17-OH<br />

Progesterone<br />

M. Herkert 1 , S. Passig 1 , B. Uelker 1 , T. Dudek 1 , C. Lauf 1 , H. Vaupel 1 , F.<br />

Becker 1 , R. Hellmich 1 , C. E. Geacintov 2 . 1 DRG Instruments GmbH,<br />

Marburg, Germany, 2 DRG International Inc., Springfi eld, NJ<br />

The DRG:HYBRID-XL ® Analyzer is an innovative and unique instrument that<br />

allows <strong>the</strong> simultaneous measurement <strong>of</strong> up to 20 samples, with up to 40 different<br />

immunoassays and clinical chemistry parameters including turbidimetric tests. After<br />

loading <strong>of</strong> ready-to-use reagent cartridges, typical assay times range from 10-90<br />

minutes. The barcoded master curve can be adjusted by 2-point recalibration.<br />

Objective: To validate <strong>the</strong> Hybrid XL, <strong>the</strong> steroid hormone 17-α-Hydroxyprogesterone<br />

(17-OHP) was analyzed in human serum. 17-OHP is produced by both <strong>the</strong> adrenal<br />

cortex and gonads. In adult non-pregnant women, 17-OHP concentrations vary over<br />

<strong>the</strong> menstrual cycle with concentrations being higher in <strong>the</strong> luteal phase than in <strong>the</strong><br />

follicular phase. The hormone is <strong>of</strong> clinical interest because it is released in excess<br />

in congenital adrenal hyperplasia, and is moderately elevated in 11-β-hydroxylase<br />

deficiency.<br />

Methodology: The 17-OHP assay is a solid phase enzyme-linked immunosorbent<br />

assay, based on competitive binding. 25 μl <strong>of</strong> serum are incubated for 1 hour at 37°C<br />

in a coated well toge<strong>the</strong>r with 200 μl <strong>of</strong> enzyme conjugate. Thereby, endogenous 17-<br />

OHP <strong>of</strong> a patient sample competes with a 17-OHP-horseradish peroxidase conjugate<br />

for binding to <strong>the</strong> coated antibody. Unbound components are washed <strong>of</strong>f, and 200 μl<br />

<strong>of</strong> TMB substrate is added to <strong>the</strong> well to start <strong>the</strong> color reaction. After 30 min, 150 μl<br />

TMB are transferred from <strong>the</strong> well to a cuvette, and <strong>the</strong> optical density is measured<br />

at 645 nm (450 nm reference wave length). Quantification is done based on a master<br />

standard curve that is barcoded on <strong>the</strong> kit box.<br />

Validation: 17-OHP can be quantified from serum and plasma (EDTA, heparin,<br />

citrate) on <strong>the</strong> DRG:Hybrid XL. The dynamic range <strong>of</strong> <strong>the</strong> assay is between 0.11-20<br />

ng/mL. The sensitivity was determined according to EP-17A. The limit <strong>of</strong> detection<br />

is 0.11 ng/mL and <strong>the</strong> limit <strong>of</strong> quantification is 0.18 ng/mL. The mean within-run<br />

precision (determined with 6 samples covering <strong>the</strong> measuring range <strong>of</strong> <strong>the</strong> assay) is<br />

3.98% (n=16; range from 2.65-6.23%). The mean between-run precision is 9.16%<br />

(16 different runs; n=32; range from 7.05-14.98%). The mean recovery is 101.1%<br />

(n=5; range from 88.4-114.9%). The mean linearity is 100.9% (n=5; range from 76.7-<br />

111.2%). Cross-reactivity was evaluated by determining <strong>the</strong> effective concentration<br />

at 50% displacement <strong>of</strong> various compounds that are structurally related to<br />

17-α-Hydroxyprogesterone. Cross-reactivity is below 0.01% for Estriol, Aldosterone,<br />

Androstenedione, Testosterone, DHEA, DHEA-S, Prednisone, Cortisol, and Estradiol.<br />

Cross-reactivity for Progesterone was 1.2%. Bilirubin and Hemoglobin (up to 0.5 mg/<br />

mL) and Triglycerides (up to 30 mg/mL) have no influence on <strong>the</strong> assay results. The<br />

accuracy <strong>of</strong> <strong>the</strong> 17-OHP assay on <strong>the</strong> DRG:Hybrid XL instrument was determined<br />

by comparison with 17-OHP manual Elisa (EIA-1292) from DRG Instruments. The<br />

correlation coefficient is 0.998 (n=118; y=1.053x; sample concentration, range 0.11-<br />

19.86 ng/mL). Normal values range between 0.12-2.49 ng/mL (males) and 0.06-3.93<br />

ng/mL (females).<br />

Conclusion: The performance <strong>of</strong> new DRG Hybrid XL analyzer to reproducibly<br />

quantify 17-OHP is in good agreement with <strong>the</strong> manual ELISA from DRG Instruments.<br />

A-86<br />

Automation in <strong>the</strong> pre analytical phase and sample flow: Gains in<br />

productivity and safety in a Brazilian clinical laboratory<br />

F. C. S. Roseiro, A. R. Bertini, C. Pereira, C. A. O. Galoro, J. Y. Ferraro, C.<br />

C. T. Silva. DASA, São Paulo, Brazil<br />

Introduction: The workflow <strong>of</strong> samples within <strong>the</strong> pre-analytical laboratory stage<br />

is already well defined. However, laboratory workloads are constantly growing at<br />

<strong>the</strong> same time that laboratories are under pressure to contain or lower costs. The<br />

sample reception department <strong>of</strong> CientíficaLab Laboratory (DASA), business unit that<br />

provides laboratory services to <strong>the</strong> Brazilian Public Market, received in March 2010<br />

almost 25,000 tubes per day, with about 2 million tests to be processed in <strong>the</strong> lab. This<br />

department had at that time 34 FTEs, with a productivity indicator <strong>of</strong> 56,923 tests<br />

/ FTE / month. All activities were processed manually, including bar code reading,<br />

sorting and aliquoting. A decision to improve and automatize most <strong>of</strong> <strong>the</strong>se tasks was<br />

made.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Tuesday, July 30, 9:30 am – 5:00 pm<br />

Automation/Computer Applications<br />

Objective: To present <strong>the</strong> productivity and quality gains in <strong>the</strong> sample reception<br />

department after <strong>the</strong> introduction <strong>of</strong> automation systems<br />

Methods: The methodology used in March 2010 was 100% manual. The bar code<br />

<strong>of</strong> <strong>the</strong> first patient sample was read and all secondary labels were printed, with <strong>the</strong><br />

frequency <strong>of</strong> two or more tubes from <strong>the</strong> same patient. A high number <strong>of</strong> aliquots<br />

(approx. 98,000 per month) was necessary due to <strong>the</strong> lack <strong>of</strong> an integrated and smart<br />

sample flow inside <strong>the</strong> lab.<br />

The introductions <strong>of</strong> two automated technologies in 2011 and 2012 increased <strong>the</strong><br />

productivity and efficiency <strong>of</strong> <strong>the</strong> lab:<br />

Implementation <strong>of</strong> Siemens LabCell in September 2011 and <strong>of</strong> <strong>the</strong> Sorter MUT HCTS<br />

2000 in January 2012.<br />

Results: The introduction <strong>of</strong> <strong>the</strong> new productivity tools resulted in <strong>the</strong> improvement<br />

<strong>of</strong> many performance indicators. We could also observe a much greater satisfaction <strong>of</strong><br />

<strong>the</strong> staff with <strong>the</strong> current process design. The main results were:<br />

1) Decrease in <strong>the</strong> number <strong>of</strong> daily stored tubes by 400-500 units because <strong>of</strong> a better<br />

sample flow and integration <strong>of</strong> <strong>the</strong> analytical instruments;<br />

2) Reduction in <strong>the</strong> numbers <strong>of</strong> pre analytical errors by 60%;<br />

3) Decrease in absenteeism <strong>of</strong> <strong>the</strong> staff and increase in productivity by 26%;<br />

4) Improvements in <strong>the</strong> sample traceability between departments;<br />

5) Drop in <strong>the</strong> number <strong>of</strong> aliquots by 52%;<br />

6) Safety in <strong>the</strong> process <strong>of</strong> receiving and handling <strong>the</strong> samples.<br />

Conclusion: Productivity measured in August 2012 increased by 26%, and <strong>the</strong><br />

number <strong>of</strong> tests / FTE / month reached 77,090 in <strong>the</strong> sample reception department.<br />

It was possible to decrease <strong>the</strong> number <strong>of</strong> repetitive tasks, reducing <strong>the</strong> number <strong>of</strong><br />

human errors and increasing <strong>the</strong> staff satisfaction and safety.<br />

A-87<br />

VALIDATION OF URINE PARAMETERS IN THE SYSMEX UF1000<br />

IN A BRAZILIAN LABORATORY<br />

E. M. Oliveira, R. A. Cavalcanti, L. L. Jaques, S. B. Ferreira, R. Balherini,<br />

M. d. Menezes, S. D. S. Vieira, D. R. B. Mansur, M. Molina, N. Z. Maluf,<br />

C. F. D. Pereira. DASA, Barueri, Brazil<br />

Background: The urinalysis department <strong>of</strong> DASA SP core lab implemented in 2012<br />

<strong>the</strong> Sysmex UF1000 analyzers for its routine urine tests. The new flow was designed<br />

to sequentially process biochemical analysis in <strong>the</strong> Roche Urisys 2400 equipment<br />

and urine sediment analysis in <strong>the</strong> UF1000. The methodology <strong>of</strong> <strong>the</strong> last instrument<br />

is to count <strong>the</strong> urinary cells and elements by flow cytometry. It performs <strong>the</strong> analysis<br />

and counting <strong>of</strong> erythrocytes, leukocytes, epi<strong>the</strong>lial cells, cylinders, crystal, mucus,<br />

sperm, bacteria and yeasts. We performed <strong>the</strong> validation <strong>of</strong> this equipment using<br />

<strong>the</strong> following protocol: linearity study <strong>of</strong> <strong>the</strong> erythrocytes, leukocytes and bacteria<br />

measurements; evaluation <strong>of</strong> <strong>the</strong> reliability index for positive samples; carry-over;<br />

repeatability and reproducibility.<br />

Objective: Validation <strong>of</strong> parameters analyzed in <strong>the</strong> equipment Sysmex UF 1000.<br />

Methods:To assess linearity, we used three samples with different results to study <strong>the</strong><br />

linearity <strong>of</strong> erythrocytes, leukocytes and bacteria. For <strong>the</strong> evaluation <strong>of</strong> <strong>the</strong> reliability<br />

index, 40 samples were studied and compared with <strong>the</strong> Neubauer chamber microscope<br />

analysis, which was <strong>the</strong> methodology previously used by <strong>the</strong> laboratory. To assess<br />

<strong>the</strong> Carry-over, high and low samples were used as recommended by <strong>the</strong> quality<br />

commission <strong>of</strong> our laboratory and to review repeatability, we used two samples, one<br />

with normal result and ano<strong>the</strong>r with altered result, each one analyzed 20 times in<br />

a single instrument. The evaluation <strong>of</strong> reproducibility was done with two levels <strong>of</strong><br />

controls, processed 20 times each one in 5 consecutive days, four times a day.<br />

Results and Conclusion: The verification <strong>of</strong> linearity showed coefficient <strong>of</strong> 1.0 for<br />

erythrocytes, 1,0 to leukocytes and 1,0 for bacteria; we concluded that <strong>the</strong> linearity<br />

obtained a good performance. In <strong>the</strong> assessment <strong>of</strong> <strong>the</strong> reliability index <strong>of</strong> positive<br />

samples, we observed a concordance <strong>of</strong> 88.7% for <strong>the</strong> erythrocyte; a concordance <strong>of</strong><br />

95.2% for leukocytes; a concordance <strong>of</strong> 88.5% for <strong>the</strong> presence <strong>of</strong> epi<strong>the</strong>lial cells,<br />

88,6% for cylinders; 88,6% for crystals, 99.3% for yeast, 99.3% for presence <strong>of</strong><br />

spermatozoa and 56.4% for bacteria. We concluded that we obtained an excellent<br />

agreement according to Kappa analysis. In <strong>the</strong> evaluation <strong>of</strong> carry-over, all analyzes<br />

<strong>of</strong> leukocytes, erythrocytes and bacteria had obtained results within acceptable limits.<br />

For <strong>the</strong> repeatability we observed CV values between 1.64 and 8.20. We noted that<br />

<strong>the</strong> highest CVs were related to red blood cell count. Evaluating <strong>the</strong> reproducibility<br />

we observed <strong>the</strong> CV values between 1.54 and 8.41, very similar to <strong>the</strong> repeatability<br />

results. However, <strong>the</strong> larger CVs for reproducibility were related to bacteria count.<br />

The equipment UF1000 has been validated according to our procedures.<br />

A-88<br />

Performance Evaluation <strong>of</strong> a New Albumin BCP Assay on <strong>the</strong> High-<br />

Throughput ADVIA Chemistry Systems<br />

R. Jacobson, S. Cherian, J. Dai. Siemens healthcare Diagnostics, Tarrytown,<br />

NY<br />

Background: Albumin is <strong>the</strong> major serum protein in normal individuals. It is<br />

syn<strong>the</strong>sized in <strong>the</strong> liver and has a half-life <strong>of</strong> 2 to 3 weeks. The main biological<br />

functions <strong>of</strong> albumin are to maintain <strong>the</strong> water balance in serum and plasma and to<br />

transport and store a wide variety <strong>of</strong> ligands, e.g. fatty acids, calcium, bilirubin and<br />

hormones such as thyroxine. Serum albumin measurements are used in <strong>the</strong> diagnosis<br />

and treatment <strong>of</strong> numerous diseases primarily involving <strong>the</strong> liver and kidneys.<br />

The Albumin BCP procedure is based on <strong>the</strong> binding <strong>of</strong> bromocresol purple specifically<br />

with human albumin to produce a colored complex (1). Due to an enhanced specificity<br />

<strong>of</strong> BCP to albumin this method is not subject to globulin interference (2). A new<br />

assay* for albumin BCP on <strong>the</strong> automated ADVIA ® Clinical Chemistry Systems is<br />

under development. The objective <strong>of</strong> this study was to evaluate <strong>the</strong> performance <strong>of</strong><br />

this new Albumin BCP (ALBP) assay on <strong>the</strong> ADVIA Chemistry Systems.<br />

Materials and Methods: In <strong>the</strong> ADVIA Chemistry ALBP assay, diluted sample is<br />

reacted with bromocresol purple (BCP) dye to form an albumin-BCP complex that<br />

is measured as an endpoint reaction at 596/694 nm. This assay uses an ADVIA<br />

Chemistry albumin calibrator. The performance evaluation in this study included<br />

precision, interference, linearity, and correlation with <strong>the</strong> Siemens ADVIA Dimension<br />

Albumin BCP assay. Data were collected for all ADVIA Chemistry Systems (ADVIA<br />

1200, ADVIA 1650, ADVIA 1800, and ADVIA 2400), which use <strong>the</strong> same ADVIA<br />

Chemistry ALBP reagents, ADVIA Chemistry albumin calibrator, and commercial<br />

controls.<br />

Results: The imprecision (%CV) <strong>of</strong> <strong>the</strong> ADVIA Chemistry ALBP assay with twolevel<br />

commercial controls ranging from 2.6 to 4.0 g/dL (n = 80), each measured<br />

over 20 days on all systems, was less than 1.2% (within-run) and 2.5% (total). The<br />

analytical range <strong>of</strong> <strong>the</strong> new assay was from 0.6 to 8.0 g/dL. The assay correlated<br />

well with <strong>the</strong> Siemens Dimension albumin assay: Y (ADVIA Chemistry) = 0.99x<br />

(Dimension albumin) + 0.05 (r = 0.99; n = 69; sample range: 0.9 -7.8 g/dL). The new<br />

assay also showed no interference at an albumin level <strong>of</strong> ~3.3 g/dL with unconjugated<br />

or conjugated bilirubin (up to 60 mg/dL), hemoglobin (up to 500 mg/dL), and lipids<br />

(Intralipid, Fresenius Kabi AB) up to 525 mg/dL. Minimum reagent on-system<br />

stability and calibration frequency were 50 days with a reagent blank measurement<br />

<strong>of</strong> every 30 days.<br />

Conclusion: The data demonstrate good performance <strong>of</strong> <strong>the</strong> Albumin BCP assay on <strong>the</strong><br />

high-throughput ADVIA Chemistry Systems from Siemens Healthcare Diagnostics.<br />

* Under development. Not available for sale.<br />

Reference:<br />

Louderback A, Measley AH, Taylor NA. A new dye-binder technique using<br />

bromocresol purple for determination <strong>of</strong> albumin in serum. Clin Chem 1968; 14: 793-<br />

4. Brackeen GL, Dover JS, Long CL: Serum albumin. Differences in assay specificity.<br />

Nutr Clin Pract 4:203-205, 1989<br />

A-89<br />

Evaluation <strong>of</strong> 34 parameters on <strong>the</strong> multiparameter analyzer AU5811®<br />

m. fonfrede, S. Abdou, D. Bonnefont-Rousselot. pitie salpetriere hospital,<br />

paris, France<br />

Background: As a result <strong>of</strong> major reorganisation <strong>of</strong> <strong>the</strong> practice <strong>of</strong> Medical Biology<br />

in France, Clinical Chemistry laboratories have to manage a high number <strong>of</strong> patient<br />

samples while maintaining <strong>the</strong> analytical quality <strong>of</strong> results. High throughput analyzers<br />

are thus required for new installations. The Clinical Chemistry laboratory <strong>of</strong> GH Pitié<br />

Salpêtrière Charles Foix is facing such a challenge, which is why we evaluated <strong>the</strong><br />

overall analytical performance and practicality <strong>of</strong> <strong>the</strong> Beckman Coulter AU5811<br />

analyzer with special attention to throughput and turn-around time.<br />

Methods: Between <strong>the</strong> beginning <strong>of</strong> December 2012 and <strong>the</strong> end <strong>of</strong> January<strong>2013</strong><br />

we evaluated 34 parameters: 26 serum tests, including 9 specific proteins, and 8<br />

urine tests including microalbuminuria. Quality controls (2 to 3 levels) were used<br />

to estimate within-run and total precision. Patient samples obtained after routine<br />

analysis were used for studies on linearity, cross-contamination (tested on potassium<br />

and CK) and <strong>the</strong> usual interferences associated with haemolysis, icterus and turbidity.<br />

Correlation on patient samples from <strong>the</strong> routine laboratory practice was performed<br />

in comparison with <strong>the</strong> Roche Modular P for serum chemistry and urine tests, Roche<br />

A24 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Automation/Computer Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Integra 400 for serum proteins, and Thermo <strong>Scientific</strong> Konelab with DiagAm reagent<br />

for microalbuminuria. Valtec protocol designed by <strong>the</strong> French Society <strong>of</strong> Clinical<br />

Biology was used for comparison analysis.<br />

Results: For within-run precision using QC materials (n=30) all 93 coefficients <strong>of</strong><br />

variation were below 2 %, 68 % being lower than 1 %. For total precision (n=30), CVs<br />

for serum chemistry parameters were below 2.5 % except for CO2 and creatinine.<br />

Urine chemistry parameters showed CVs below 2.5 %, and urine microalbuminuria<br />

CV was below 3.7 %. There was no significant cross-contamination between<br />

samples, and <strong>the</strong> method linearities were consistent with <strong>the</strong> manufacturer’s claims.<br />

Interferences were mainly associated with icterus: above a bilirubin concentration <strong>of</strong><br />

400 μmol/L a decrease <strong>of</strong> recovery was observed for creatinine (Jaffe), total protein<br />

and cholesterol. Grossly haemolysed samples showed decreased bilirubin recovery.<br />

Correlation studies were very satisfactory; some differences were observed with urine<br />

protein results, but this is due to <strong>the</strong> well-known interference <strong>of</strong> some polypeptidebased<br />

plasma expanders. Time for obtaining <strong>the</strong> results <strong>of</strong> 900 tests (9 parameters<br />

on 100 samples) was 36 min. 06 sec., starting from stand-by. Turnaround time (TAT)<br />

for an emergency sample with 7 tests was 11 min. when <strong>the</strong> analyser was in routine<br />

operation.<br />

Conclusion: The analytical features and <strong>the</strong> throughput <strong>of</strong> <strong>the</strong> AU5811analyser make<br />

it suitable for a laboratory dealing with a large number <strong>of</strong> samples and looking for fast<br />

TAT for emergency analysis.<br />

A-90<br />

Throughput Evaluation <strong>of</strong> ACCELERATOR p540 Perianalytical<br />

Sample Processor using Primary and Secondary Aliquot Samples<br />

A. DeFrance 1 , J. Lucio 1 , K. Reed 1 , Y. Smith 1 , D. Overcash 2 . 1 Abbott<br />

Laboratories, Irving, TX, 2 Abbott Laboratories, Abbott Park, IL<br />

Introduction: The ACCELERATOR p540 is a fully automated perianalytical sample<br />

processor that performs sample loading and identification, decapping, aliquoting,<br />

and sorting operations. The p540 consists <strong>of</strong> two managed integrated modules. The<br />

aliquoter module has aliquoting and sorting capabilities and <strong>the</strong> sorter module has <strong>the</strong><br />

capability <strong>of</strong> sorting into preconfigured instrument specific racks. Primary tubes are<br />

pre-loaded into five position racks and introduced to <strong>the</strong> aliquoter. The primary sample<br />

tubes and aliquot samples are sorted to <strong>the</strong> Aliquoter and /or connected Sorter module.<br />

The objective <strong>of</strong> this study was to measure <strong>the</strong> p540’s throughput per hour <strong>of</strong> primary<br />

collection tubes and <strong>of</strong> various aliquot sampling pr<strong>of</strong>iles.<br />

Methodology: The p540 was programmed using an LIS to process an assortment <strong>of</strong><br />

capped primary collection tubes and aliquots. The throughput in terms <strong>of</strong> number <strong>of</strong><br />

tubes processed per hour was measured. Variations were ordered calling for one, two,<br />

or three aliquots from <strong>the</strong> primary tube. In one experiment, sample tubes were sorted<br />

to <strong>the</strong> Sorter Module connected to <strong>the</strong> Aliquoter Module via a bridge connection.<br />

In a second experiment, all tubes were sorted to <strong>the</strong> Aliquoter Module secondary<br />

sorting garage. The p540 can be configured for ei<strong>the</strong>r path or a combination <strong>of</strong> both<br />

for maximum tube throughput.<br />

Results: The table summarizes <strong>the</strong> throughput results for <strong>the</strong> various combinations <strong>of</strong><br />

primary tubes, aliquots, and processor paths.<br />

Tube Throughput Under Various Workload Conditions<br />

1 Primary tube + 1 1 Primary tube +2<br />

Aliquot<br />

Aliquots<br />

All<br />

All Tubes All Tubes All Tubes<br />

Tubes<br />

Sent to Sent to Sent to<br />

Sent to<br />

Secondary Sorter: Secondary<br />

% Aliquots Sorter:<br />

Garage: Total Garage:<br />

Total<br />

Total No. <strong>of</strong> No.<strong>of</strong> Total No. <strong>of</strong><br />

No.<strong>of</strong><br />

tubes/hr tubes/hr tubes/hr<br />

tubes/hr<br />

1 Primary tube + 3<br />

Aliquots<br />

All Tubes<br />

Sent to<br />

Sorter:<br />

Total<br />

No.<strong>of</strong><br />

tubes/hr<br />

All Tubes<br />

Sent to<br />

Secondary<br />

Garage:<br />

Total No. <strong>of</strong><br />

tubes/hr<br />

0 483 490 483 490 483 490<br />

10 529 534 517 558 538 589<br />

20 572 562 543 603 565 691<br />

30 575 565 551 658 536 713<br />

50 592 637 566 756 580 708<br />

70 614 722 578 775 592 694<br />

100 642 862 597 779 611 697<br />

Conclusion: The p540 significantly increases workflow efficiency as a standalone<br />

sample processor as demonstrated by this throughput study. Utilizing a LIS,<br />

approximately 500 primary tubes can be processed with increasing efficiency<br />

as <strong>the</strong> number <strong>of</strong> aliquots increase. This study demonstrates <strong>the</strong> benefit <strong>of</strong> sorting<br />

tubes directly to analyzer specific racks while maintaining satisfactory throughput.<br />

The p540 Aliquoter and Sorter Modules provide sorting capabilities as desired for<br />

optimum efficiency.<br />

A-91<br />

Optimization <strong>of</strong> sample workflow with focus in <strong>the</strong> pre-analytical<br />

phase in a reference laboratory in Brazil<br />

L. G. S. Carvalho 1 , C. Pereira 2 , A. Bertini 2 , F. E. Pereira 1 , G. Ludovico 1 , J.<br />

A. D. Maciel 3 , T. P. Souza 3 . 1 DASA, Cascavel, Brazil, 2 DASA, São Paulo,<br />

Brazil, 3 DASA, Rio de Janeiro, Brazil<br />

Background: The workflow <strong>of</strong> samples within <strong>the</strong> pre-analytical laboratory stage is<br />

already well defined. However, laboratory workloads are constantly growing at <strong>the</strong><br />

same time that laboratories are under pressure to contain or lower costs. In addition to<br />

that, it is not always available sorting automation instruments to meet adequately and<br />

timely <strong>the</strong> distribution process and all <strong>the</strong> variety <strong>of</strong> sample recipients demanded for<br />

sorting. The causes can vary from tubes standardization (difficult to obtain in reference<br />

labs) to demand fluctuation (due to commercial or seasonal reasons), common in<br />

reference labs routine. When <strong>the</strong>se variables are present, sample flow is less efficient,<br />

increasing materials and employees cost, as well as arising potential human errors.<br />

Alvaro laboratory receives around 50.000 tubes a day only for <strong>the</strong> serum work area<br />

tests and provides a very important attribute to its customer: single tube submission <strong>of</strong><br />

<strong>the</strong> tests, what makes <strong>the</strong> sorting process a challenge for <strong>the</strong> lab. The aim <strong>of</strong> this study<br />

is to present <strong>the</strong> tools and processes developed to achieve excellence and efficiency in<br />

<strong>the</strong> pre analytical phase <strong>of</strong> a large and differentiated reference lab.<br />

Methods: New setting rules for sample distribution (sorting) and RSD samples flow<br />

(RSD work cycle tray creation) were proposed within <strong>the</strong> pre analytical system and<br />

was implemented via IT solution, allowing <strong>the</strong> integration between three lab sectors<br />

<strong>of</strong> higher sample volume (Biochemistry, Immunology and Immunochemistry). This<br />

integration was established based in <strong>the</strong> criteria <strong>of</strong> speed, capacity and throughput,<br />

toge<strong>the</strong>r with <strong>the</strong> institution <strong>of</strong> a tube “transfer” flow between <strong>the</strong>se areas. This<br />

new procedure simplified <strong>the</strong> analytical flow and enabled <strong>the</strong> generation <strong>of</strong> fewer<br />

aliquots, giving preference to route <strong>the</strong> single tube. The labor-intensive sorting and<br />

aliquoting practice was dedicated only to manual tests or specific routines, which<br />

lead to standardization <strong>of</strong> manual distribution, compared to those used in automated<br />

distribution (RSD). These rules were customized according to <strong>the</strong> lay out and<br />

instrument design <strong>of</strong> Alvaro Laboratory.<br />

Results: With <strong>the</strong> implementation <strong>of</strong> <strong>the</strong> optimized manual and RSDs sorting process,<br />

we obtained in <strong>the</strong> period <strong>of</strong> June 2011 to June 2012, a saving <strong>of</strong> 112,000 aliquoting<br />

tubes, decreasing <strong>the</strong> overall aliquoting percentage rate from 16.7% to 5.5% and<br />

improving <strong>the</strong> patient / Aliquot rate from 5.96 to 18.34.<br />

Conclusion: This project allowed quantitative and qualitative gains that conducted<br />

<strong>the</strong> lab to improvements in productivity, cost and turnaround time for <strong>the</strong> sorting<br />

process, with positive impact on key performance indicators.<br />

A-92<br />

Overutilization <strong>of</strong> Hemoglobin A1c and Serum protein Electrophoresis<br />

Tests in a Large Tertiary Hospital<br />

M. Fenelus, T. C. Brandler, L. Bilello, L. K. Bjornson. North Shore<br />

University Hospital Laboratory, Manhasset, NY<br />

Introduction: Under <strong>the</strong> new Healthcare Reform Act, laboratory pr<strong>of</strong>essionals are<br />

expected to review ordering patterns for clinical laboratory tests to ensure appropriate<br />

and efficient use <strong>of</strong> laboratory resources. Inappropriate ordering practices contribute<br />

to <strong>the</strong> high cost <strong>of</strong> healthcare. It is incumbent upon members <strong>of</strong> <strong>the</strong> laboratory to work<br />

with <strong>the</strong>ir clinical colleagues to achieve appropriate utilization <strong>of</strong> laboratory tests.<br />

Objective: To review utilization <strong>of</strong> two laboratory tests, Hemoglobin A1c (HbA1c)<br />

and Serum Protein Electrophoresis (SPEP) over a 6 month period.<br />

Methods: A retrospective computerized query <strong>of</strong> our clinical data repository was<br />

performed to document all HbA1c and SPEP tests performed from January to June<br />

2012 for a large tertiary care hospital in central Long Island, NY (North Shore<br />

University Hospital). HbA1c test results totaling 4,736 from 3,940 patients and<br />

SPEP test results totaling 272 from 256 patients were examined. This study examines<br />

utilization <strong>of</strong> HbA1c and SPEP tests, which are usually ordered once per admission. A<br />

second order for <strong>the</strong> SPEP test within 7 days and HbA1c within 30 days is considered<br />

overuse in our study.<br />

Results: Review <strong>of</strong> <strong>the</strong> HbA1c data showed 415 out <strong>of</strong> a total <strong>of</strong> 3,940 patients had<br />

two or more HbA1c ordered within one month which confers a 10.5% overutilization<br />

for this test. Review <strong>of</strong> SPEP data showed more than one SPEP ordered within <strong>the</strong><br />

same week for 9 out <strong>of</strong> 256 patients, which confers a 3.5% overutilization for this test.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A25


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Automation/Computer Applications<br />

Conclusion: Review <strong>of</strong> <strong>the</strong> utilization <strong>of</strong> HbA1c and SPEP in our institution<br />

demonstrated overutilization <strong>of</strong> 10.5% and 3.5% occurred for HbA1c and SPEP,<br />

respectively. For HbA1c most <strong>of</strong> <strong>the</strong> duplicate orders occurred on <strong>the</strong> same day or<br />

within two consecutive days. The probable explanation for this is that two different<br />

physicians independently ordered <strong>the</strong> test unaware that it had already been ordered.<br />

An alternate explanation, that <strong>the</strong> physician was suspicious <strong>of</strong> <strong>the</strong> result and reordered<br />

<strong>the</strong> test for confirmation, is much less likely considering <strong>the</strong> time span <strong>of</strong> one to<br />

two days. These percentages represent overutilization <strong>of</strong> <strong>the</strong>se tests that could be<br />

prevented most directly by adding s<strong>of</strong>tware or intelligent rules to <strong>the</strong> laboratory or<br />

hospital information systems alerting physicians to previous orders in order to avoid<br />

duplication.<br />

A26 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Molecular Pathology/Probes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Molecular Pathology/Probes<br />

A-93<br />

Rapid and Cost Effective Measurement <strong>of</strong> Circulating Cell Free Graft<br />

DNA for <strong>the</strong> Early Detection <strong>of</strong> Liver Transplant Rejection<br />

J. Beck 1 , S. Bierau 1 , S. Balzer 1 , R. Andag 2 , P. Kanzow 2 , S. Hennecke 1 , J.<br />

Schmitz 1 , J. Gaedcke 3 , O. Mörer 4 , J. Slotta 3 , P. D. Walson 2 , O. Kollmar 3 ,<br />

M. Oellerich 2 , E. Schütz 1 . 1 Chronix Biomedical, Göttingen, Germany,<br />

2<br />

Dept. Clinical Chemistry, University Medicine, Göttingen, Germany,<br />

3<br />

Transplantation Surgery, University Medicine, Göttingen, Germany,<br />

4<br />

Dept. Anes<strong>the</strong>siology, University Medicine, Göttingen, Germany<br />

Background: Cell free DNA (cfDNA) from grafts in <strong>the</strong> circulation <strong>of</strong> transplant<br />

recipients is a potential rejection biomarker. Its usefulness was shown in heart<br />

transplantation during <strong>the</strong> maintenance phase, using chip and massive parallel<br />

sequencing <strong>of</strong> donor and recipient DNA. Major drawbacks <strong>of</strong> such methods are high<br />

costs, long turnaround and need for donor DNA. We aimed to develop a method that<br />

overcomes <strong>the</strong>se obstacles.<br />

Methods: Plasma samples from four patients soon after liver transplantation (LTx)<br />

and from 11 stable LTx patients were used. Single Nucleotide Polymorphisms (SNPs)<br />

were selected for high minor allelic frequencies. Useful SNPs are homozygous<br />

in recipient and in graft but with different alleles. Assuming Hardy-Weinbergequilibrium,<br />

this should be ~12.5% <strong>of</strong> such SNPs; <strong>the</strong>refore, 37 Taqman assays were<br />

established. cfDNA was extracted from ≥1mL EDTA-plasma and subjected to a library<br />

preparation, followed by PCRs on a LightCycler480 to define useful heterologous<br />

SNPs. These were <strong>the</strong>n used for graft DNA quantification using digital droplet PCRs<br />

(BioRad QX100) expressed as fractional percent abundance.<br />

Results: At 2% fractional abundance <strong>the</strong> recovery was 100% (SD:3%) with a<br />

total imprecision <strong>of</strong> 6-16%. The amount <strong>of</strong> graft DNA in stable LTx patients was<br />

5% (SD:4.7%). The one patient with biopsy proven rejection at day 43 showed a<br />

steep increase in graft cfDNA to 50% on day 32, several days before aspartate<br />

aminotransferase (AST) and bilirubin increased significantly (Figure). In contrast, <strong>the</strong><br />

patients with complication free courses had


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Molecular Pathology/Probes<br />

characteristic for this stage <strong>of</strong> disease. Detection <strong>of</strong> renal dysfunction, before apparition<br />

<strong>of</strong> albuminuria remains a goal for both, clinician and laboratory physician. The exact<br />

mechanisms underlying hyperglycemia dependent renal injury are unknown. The aim<br />

<strong>of</strong> our study was to evaluate <strong>the</strong> relationship between podocyte apoptosis markers and<br />

hyperglycemia in patients with diabetic nephropathy.<br />

Methods. We examined <strong>the</strong> urines <strong>of</strong> a group <strong>of</strong> 23 patients with DN histopathologically<br />

diagnosed (11 with normoalbuminuria and 12 with microalbuminuria) and 5 healthy<br />

subjects. Patients with DN were divided in two categories: blood glucose levels <<br />

200 mg/dl and ≥ 200 mg/dl. Midstream urine was collected in sterile containers and<br />

centrifuged. The podocytes were isolated and cultivated. The immun<strong>of</strong>luorescent<br />

method was applied to observe and identify <strong>the</strong> urinary cell morphology. We used<br />

podocalyxin and nephrin antibodies to identify podocyte cells. Cell viability and<br />

proliferation was detected using MTT test. Apoptosis was evaluated by RT-PCR<br />

analysis <strong>of</strong> caspase 3 and 9, immunohistochemical detections <strong>of</strong> Bax and western<br />

blot for survivin.<br />

Results. After cell culture, <strong>the</strong> number <strong>of</strong> podocytes was significantly<br />

increased in patients with diabetic nephropathy compared with control group.<br />

Immunohistochemical expression <strong>of</strong> proapoptotic protein Bax was positive in 86,95%<br />

<strong>of</strong> cases (20 patients) and was correlated with high level <strong>of</strong> glucose. Compared with<br />

normal controls, in patients with DN we noticed <strong>the</strong> up - regulation <strong>of</strong> caspase - 3<br />

(91,3% <strong>of</strong> cases) and caspase - 9 (100% <strong>of</strong> cases) versus lower expression <strong>of</strong> anti -<br />

apoptotic protein survivin (96.65% <strong>of</strong> cases).<br />

Conclusions. We conclude that apoptosis <strong>of</strong> podocytes have a role in <strong>the</strong> onset and<br />

progression <strong>of</strong> diabetic nephropathy and it is correlated with hyperglycemia levels.<br />

A-97<br />

Directly detect high risk HPV oncogenes E6/E7 mRNAs from Pap<br />

smear without RNA purification, reverse transcription or PCR<br />

L. Zhang 1 , T. Liu 2 , R. Chuang 1 , X. Li 2 , X. Li 2 , R. Diaz 1 , L. Chen 1 , J.<br />

Erickson 1 , P. Okunieff 3 , A. Zhang 1 . 1 DiaCarta Inc, Hayward, CA, 2 Kodia<br />

Biotechnology, CO., Ltd., National Univ. Science Park, Zhengzhou, China,<br />

3<br />

Shands Cancer Center, University <strong>of</strong> Florida, Gainesville, FL<br />

Human Papillomavirus (HPV) infection causes nearly all cervical cancers and it is<br />

one <strong>of</strong> <strong>the</strong> most prevalent cancers in women. Most cancers <strong>of</strong> <strong>the</strong> vulva and vagina are<br />

induced by oncogenic HPV types. In precancerous lesions, most HPV genomes persist<br />

in an episomal state whereas in many high-grade lesions and carcinomas, genomes are<br />

found integrated into <strong>the</strong> host chromosome. Two viral genes, E6 and E7, are invariably<br />

expressed in HPV-positive cancer cells. Their gene products are known to inactivate<br />

<strong>the</strong> major tumor suppressors, p53 and retinoblastoma protein (pRB), respectively. E6<br />

oncoprotein has <strong>the</strong> capability to up regulate <strong>the</strong> expression <strong>of</strong> apoptotic inhibitors;<br />

In addition,<strong>the</strong> E6 and E7 oncogenes cooperate to effectively immortalise primary<br />

epi<strong>the</strong>lial cells. It has been demonstrated that HPV E6/E7 expression level plays a key<br />

role in <strong>the</strong> progression <strong>of</strong> invasive carcinoma <strong>of</strong> <strong>the</strong> uterine cervix via <strong>the</strong> deregulation<br />

<strong>of</strong> cellular genes controlling tumor cell proliferation. HPV E6/E7 oncogenes have<br />

been proven to be robust biological markers for prognosis assessment and specific<br />

<strong>the</strong>rapy <strong>of</strong> <strong>the</strong> disease.<br />

We have developed a highly sensitive and specific nucleic acid hybridization assay<br />

using branched DNA (bDNA) to amplify <strong>the</strong> signals. Specific probe sets were<br />

designed that bind to <strong>the</strong> E6/E7 oncogene <strong>of</strong> each HPV subtype. The assay can<br />

simultaneously detect E6/E7 mRNAs for all 14 high-risk HPV subtypes directly from<br />

Pap smear samples without RNA purification, reverse transcription or PCR. All HPV<br />

mRNA targets are captured through cooperative hybridization <strong>of</strong> multiple probes, and<br />

probe set design determines <strong>the</strong> specificity <strong>of</strong> each HPV subtype <strong>of</strong> E6/E7 mRNA.<br />

Probe set oligonucleotides bind a contiguous region <strong>of</strong> <strong>the</strong> target E6/E7 mRNAs<br />

and selectively capture target RNAs to a solid surface during hybridization. Signal<br />

amplification is performed via sequential hybridization <strong>of</strong> Pre-Amplifier, Amplifier<br />

and label probe. The assay is highly specific and sensitive, and can detect as low as 50<br />

transcript molecules per mL. Using same patient samples, we demonstrated that <strong>the</strong><br />

test is more sensitive and specific than HC2 assay.<br />

A-98<br />

The CYP1A2*1D Polymorphism Has A Significant Impact On Olanzapine<br />

Serum Concentrations<br />

F. Czerwensky, S. Leucht, W. Steimer. Klinikum rechts der Isar, TU<br />

München, Munich, Germany<br />

Background: Olanzapine is one <strong>of</strong> <strong>the</strong> most widely prescribed second-generation<br />

antipsychotic (SGA) drugs. CYP1A2 is believed to be <strong>the</strong> most relevant metabolizing<br />

enzyme. Therefore, polymorphisms affecting CYP1A2 activity may have an important<br />

impact on olanzapine serum concentrations and clinical outcome. The CYP1A2*1D<br />

polymorphism is a very interesting SNP, since a recently published report shows a<br />

significant impact on CYP1A2 activity in smokers [1]. We, <strong>the</strong>refore, tried to detect<br />

<strong>the</strong> CYP1A2*1D polymorphism by using <strong>the</strong> LightCycler (Roche, Mannheim,<br />

Germany) and investigated its influence on pharmacokinetics and clinical outcome.<br />

Methods: We developed a new rapid-cycle polymerase chain reaction on a LightCycler<br />

2.0, which was cross-validated with RFLP analyses using primers described by Chida<br />

et al [2]. The best results were achieved with <strong>the</strong> following setup: forward-primer:5´G<br />

CCCACTCCAGTCTAAATCAAA3´, reverse-primer:5´AGGACAAGCCTTAAATT<br />

GGATG3´, sensor-probe:5´LC705-TGATTGTGGCACATG<strong>AACC</strong>CC-phosphate3´,<br />

anchor-probe:5´GAGGTCGAGGCTGCAGTGAGC-fluorescein3´, 35x (95°C-10sec,<br />

59°C-20sec, 72°C-30sec), 500nM CYP1A2*1D forward and 625nM reverse<br />

primers, 60nM hybridization probes, 100ng DNA, 3.125mM MgCl2 and 2μl master<br />

hybridization mixture (Roche Diagnostics, Mannheim, Germany), total volume 20μl.<br />

Ninety-eight Caucasian inpatients who received olanzapine as part <strong>of</strong> <strong>the</strong>ir treatment<br />

for at least 4 weeks were included in our retrospective investigation. Steady-state<br />

serum concentrations were measured 12-14h post-dose by a method modified from<br />

Kirchherr et al [3]. Baseline demographics, psychopathological state, response and<br />

side effects were assessed at admission to hospital and after 4 weeks by means <strong>of</strong> <strong>the</strong><br />

PDS rating scale, <strong>the</strong> clinical global impression (CGI) rating and <strong>the</strong> dosage record<br />

and treatment emergent symptom scale (DOTES). Dose and body weight corrected<br />

serum concentrations and PDS- and CGI-improvement were compared for genotype<br />

by analysis <strong>of</strong> variance. Analysis <strong>of</strong> covariance was used to exclude confounding<br />

factors and Pearson correlation to investigate <strong>the</strong> relationship between olanzapine<br />

serum concentrations, PDS- and CGI-improvement and side effect scores.<br />

Results: All 98 patients were genotyped successfully on <strong>the</strong> LightCycler and 56<br />

samples were cross-checked with RFLP. The results were in complete concordance.<br />

Carriers <strong>of</strong> <strong>the</strong> delT-alleles showed 2.3 or 1.5 (homozygous: n=3, heterozygous:<br />

n=6) times higher dose corrected serum concentrations (ANOVA, p=0.003) and 1.9<br />

(n=3) or 1.8 (n=5) times higher dose and body weight corrected serum concentrations<br />

(ANOVA, p=0.009) than wildtype-allele carriers (n=89/85;1.60 ng/mL per mg;116.23<br />

ng/mL per mg/kg). In a model adjusted for age, sex, baseline weight (available for<br />

n=93) and CYP1A2 inducers (carbamazepin, smoking) <strong>the</strong> CYP1A2*1D genotype<br />

still revealed a significant impact on dose corrected serum concentrations (ANCOVA,<br />

p=0.004, estimated marginal means for delT/delT,T/delT,T/T [ng/mL per mg]: 3.49,<br />

2.67, 1.62 (n=3/5/85)). No significant relationship between serum concentrations or<br />

CYP1A2*1D genotype and side effects or response was detected. For side effects this<br />

is not surprising since <strong>the</strong> majority (98%) <strong>of</strong> patients displayed concentrations in or<br />

below <strong>the</strong> <strong>the</strong>rapeutic range (20-80 ng/mL) probably due to dose optimization, e.g.<br />

following TDM.<br />

Conclusion: We developed a fast and reliable method for detecting CYP1A2*1D.<br />

Our results indicate for <strong>the</strong> first time that carriers <strong>of</strong> <strong>the</strong> delT-allele develop<br />

significantly higher dose corrected olanzapine serum concentrations, independent <strong>of</strong><br />

<strong>the</strong> confounding factors age, sex, baseline weight and concomitant CYP1A2 inducers.<br />

Before genotype-based dosage recommendations can help olanzapine treated patients<br />

fur<strong>the</strong>r studies are needed.<br />

1.Dobrinas,M:ClinPharmacolTher:2011Jul:90(1):117-25<br />

2.Chida,M;JpnJCancerRes:1999Sep:90(9):899-902<br />

3.Kirchherr,H.;JChromatogrBAnalytTechnolBiomedLifeSci:2006:843:100-113.<br />

A-99<br />

Outcome Of Acute Myeloid Leukemia Patients According To<br />

Cytogenetic And Molecular Characteristics<br />

P. Akl, M. Cherry, R. Allen, A. Kanaly, W. Moore, S. Pant, S. Dunn.<br />

University <strong>of</strong> Oklahoma Health Sciences Center, Oklahoma city, OK<br />

Background: Acute myeloid leukemia (AML) is a heterogeneous group <strong>of</strong> neoplastic<br />

disorders with great variability in clinical course, response to <strong>the</strong>rapy, and molecular<br />

A28 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Molecular Pathology/Probes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

mechanism to disease. Karyotyping provides <strong>the</strong> most important prognostic<br />

information in adult AML, but 50-60% <strong>of</strong> patients are cytogenetically normal or have<br />

non-informative cytogenetic aberrations and are thus categorized as intermediaterisk.<br />

However, this group is highly heterogeneous with a broad spectrum <strong>of</strong> responses<br />

to <strong>the</strong>rapy. Recently, several recurrent molecular markers have proven valuable in<br />

fur<strong>the</strong>r risk-stratifying <strong>the</strong>se intermediate-risk AML cases. Among adverse prognostic<br />

markers, FLT3 mutations are particularly unfavorable and most FLT3(+) patients are<br />

destined for bone marrow transplantation. In addition, DNMT3A, IDH1 and IDH2<br />

mutations have been independently associated with particularly adverse outcomes in<br />

intermediate-risk adult AML. By contrast, mutations in CEBPA and NPM1 have been<br />

associated with favorable prognosis. The purpose <strong>of</strong> this study is to assess frequencies<br />

and interactions <strong>of</strong> <strong>the</strong>se molecular markers compared to laboratory and clinical data<br />

for a cohort <strong>of</strong> AML patients at <strong>the</strong> University <strong>of</strong> Oklahoma Health Sciences Center.<br />

Patients and methods: A retrospective chart review <strong>of</strong> all AML patients evaluated<br />

between January 2000 and February 2011 was performed. Demographics, laboratory<br />

testing, bone marrow biopsy diagnosis, cytogenetics, chemo<strong>the</strong>rapy and stem<br />

cell transplantation were collected on all patients. There were 113 adults and 16<br />

children. Available archived DNA was subjected to PCR followed by fragment<br />

analysis by capillary electrophoresis to test for FLT3, NPM1, CEBPA mutations or<br />

by pyrosequencing to test for DNMT3A (codon 882), IDH1 (codon 132) and IDH2<br />

(codons 140 and 172) mutations. For survival analyses, Kaplan-Meier method was<br />

used. Analyses were restricted to intermediate-risk adults due to <strong>the</strong> limited pediatric<br />

cases.<br />

Results: Among <strong>the</strong> 113 adult patients, 61 (56%) were categorized as intermediaterisk;<br />

16/61 (26%) were FLT3(+), 17/61 (28%) were NPM1(+), 6/61 (10%) were<br />

CEBPA(+), 10/61 (16%) were DNMT3A(+), 4/61 (7%) were IDH1(+) and 6/61 (10%)<br />

were IDH2(+). Univariate survival analyses <strong>of</strong> <strong>the</strong> intermediate-risk group indicated<br />

inferior overall survival (OS) with FLT3 and combination <strong>of</strong> FLT3 and DNMT3A<br />

mutations (p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Molecular Pathology/Probes<br />

Conclusions We found that cfDNA is subject to a temperature-triggered degradation<br />

in serum but not in EDTA-plasma. Moreover, exogenous and endogenous nucleases<br />

were active only in serum. EDTA probably by chelation <strong>of</strong> divalent ions inhibits blood<br />

nucleases conferring an ex-vivo protection to cfDNA. Ultimately, we developed a realtime<br />

fluorescence method to detect nuclease activity in clinical samples.<br />

A-102<br />

Development <strong>of</strong> a rapid, novel assay for CYP2C19*17 variants.<br />

S. Lewis 1 , H. Han 1 , S. Banerjee 2 , B. Little 3 . 1 Tarleton State University, Fort<br />

Worth, TX, 2 Veterans Affairs Medical Center, Dallas, TX, 3 Tarleton State<br />

University, Stephenville, TX<br />

Clopidogrel bisulfate is a thienopyridine inhibitor <strong>of</strong> <strong>the</strong> platelet P2Y12 adenosine<br />

diphosphate receptor. Most patients undergoing <strong>the</strong> insertion <strong>of</strong> a drug eluting stent<br />

after myocardial infarction are prescribed clopidogrel bisulfate (Plavix ®) and<br />

aspirin as anti-platelet <strong>the</strong>rapy. Numerous investigations <strong>of</strong> patients prescribed <strong>the</strong><br />

anti-platelet drug clopidogrel bisulfate (Plavix®) have demonstrated relationships<br />

between patient’s CYP2C19 genotype and <strong>the</strong>ir response to clopidogrel as related<br />

to clinical outcomes such as blood clots, stent thrombosis, bleeding, myocardial<br />

infarctions and major cardiovascular events (MACE). Loss <strong>of</strong> function CYP2C19*2<br />

and *3 variants have been associated with higher levels <strong>of</strong> ADP-induced platelet<br />

aggregation in patients receiving clopidogrel <strong>the</strong>rapy, and <strong>the</strong>refore have a greater risk<br />

<strong>of</strong> major cardiovascular events, including stent thrombosis (ST). The CYP2C19*17<br />

allelic variant was shown to significantly reduced ADP-induced platelet aggregation<br />

in clopidogrel treated patients and conferred an increased risk <strong>of</strong> bleeding, In order to<br />

undertake large studies to clarify <strong>the</strong> relationship <strong>of</strong> CYP2C19 variants on clopidogrel<br />

metabolism, additional laboratory tests need to be developed that are more rapid, less<br />

expensive and cover <strong>the</strong> spectrum <strong>of</strong> clinically significant variants. Of significant<br />

interest to investigators <strong>of</strong> <strong>the</strong> pharmacogenetic relationship <strong>of</strong> clopidogrel bisulfate<br />

(Plavix ®) and CYP2C19 variant alleles, is <strong>the</strong> ability to detect <strong>the</strong> clinically<br />

significant CYP2C19 allelic variants. The CYP2C19*17 allelic variant may not be<br />

detected by all commercially available genotyping platforms. The objective <strong>of</strong> this<br />

study was to develop a novel qualitative CYP2C*17 qualitative genotyping assay<br />

using real-time PCR on DNA samples using primers and fluorescently labeled<br />

probes.<br />

Blood samples were collected in EDTA tubes and DNA extracted using <strong>the</strong> Roche<br />

MagNa Pure. DNA concentration <strong>of</strong> samples was determined to obtain <strong>the</strong> desired<br />

optimum final concentration 25g/mL for controls. PCR primer and probe pair design<br />

were prepared by Fluorestric Inc. (Park City, Utah) with known CYP2C19*17 SNP<br />

ID= rs 12248560. http://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?rs=12(248560)<br />

The Roche HybProbe Assay (Real-Time PCR) was used to genotype all patients<br />

for CYP2C19*17 allele. PCR was performed in 20-μl volumes in <strong>the</strong> presence <strong>of</strong><br />

1x Roche Genotyping Master mix, 4.0 mmol/L magnesium chloride (MgCl2), 0.2<br />

μmol/L <strong>of</strong> each probes, and 0.5 μmol/L <strong>of</strong> each primers. Genotyping and melting<br />

curves were evaluated for each sample. The genotyping assay for CYP2C19*17<br />

was optimized with <strong>the</strong> control samples (wild-type samples lacking CYP2C19*17,<br />

heterozygous, and homozygous variants). This novel, rapid, real-time PCR assay<br />

to detect both heterozygous and homozygous CYP2C19*17 variants, demonstrates<br />

a 100% sensitivity and 100% specificity when validated with ten positive and ten<br />

negative samples previously confirmed by ano<strong>the</strong>r method. This assay is reproducible<br />

(inter-assay CV=0.22; Intra assay CV=0.16-0.22) and requires only a real-time PCR<br />

system with allele-calling s<strong>of</strong>tware. By combining this novel assay with o<strong>the</strong>r author<br />

developed assays novel assays to detect CYP2C19* 2 and *3 alleles or commercially<br />

available assays, investigators may detect clinically significant CYP2C19 allelic<br />

variants. Future clinical studies are needed to corroborate published results<br />

demonstrating an increased risk <strong>of</strong> bleeding in CYP2C19*17 individuals. The use <strong>of</strong><br />

CYP2C19 genotyping prior to <strong>the</strong> selection <strong>of</strong> anti-platelet <strong>the</strong>rapy shows promise to<br />

reduce mortality and morbidity in patients with coronary artery stents.<br />

A-103<br />

Simple NAT2 haplotyping using allele-specific sequencing<br />

S. Kang, G. Park, S. Jang, D. Moon. Chosun university hospital, Gwangju,<br />

Korea, Republic <strong>of</strong><br />

BACKGROUND: N-Acetyltransferase 2 (NAT2) is a common metabolizer <strong>of</strong> many<br />

clinical drugs. NAT2 haplotyping requires a complex procedure. Allele-specific PCR<br />

followed by direct sequencing or cloning sequencing are common methods used for<br />

haplotyping. However, <strong>the</strong>se common methods require labor-intensive procedures.<br />

Allele-specific sequencing was designed for haplotyping <strong>of</strong> <strong>the</strong> NAT2 gene.<br />

METHODS: Using rapid DNA polymerase with high-fidelity, we amplified <strong>the</strong><br />

NAT2 coding region for direct sequencing, allele-specific sequencing, and cloning<br />

<strong>of</strong> genomic DNA from 207 healthy Korean subjects. Analysis <strong>of</strong> <strong>the</strong> 873-bp coding<br />

region <strong>of</strong> NAT2 was performed in order to search 11 <strong>of</strong> <strong>the</strong> most common single<br />

nucleotide polymorphisms (SNPs). For cases that were heterozygous for 282C>T,<br />

803A>G and 857G>A, we performed sequencing analysis using <strong>the</strong> allele-specific<br />

sequencing primer for one specified allele at one locus. We performed cloningsequencing<br />

analysis for confirmation <strong>of</strong> <strong>the</strong> haplotyping results <strong>of</strong> allele-specific<br />

sequencing.<br />

RESULTS: Allele-specific sequencing determined actual haplotypes for cases that<br />

were heterozygous for two or more SNPs. For cases that were homozygous for SNPs,<br />

<strong>the</strong> haplotypes <strong>of</strong> NAT2 were possibly determined.<br />

CONCLUSION: We have developed a simple method for NAT2 haplotyping using<br />

allele-specific sequencing; this could be an innovative method that reduces laborintensive<br />

procedures and complex inferring algorithms.<br />

A-105<br />

Detection <strong>of</strong> <strong>the</strong> single nucleotide polymorphism (rs1468384) in<br />

niemann-pick c1-like 1 gene using a PCR-RFLP assay in Nepalese<br />

healthy cohort<br />

K. P. Singh 1 , U. Timilsina 2 , H. K. Tamang 3 . 1 Maharajgunj Medical Campus<br />

(IOM), Kathmandu, Nepal, 2 College for Pr<strong>of</strong>essional Studies, Kathmandu,<br />

Nepal, 3 Kantipur Dental College Teaching Hospital, Kathmandu, Nepal<br />

Background: Niemann-Pick C1-Like 1 (NPC1L1) protein is a newly identified<br />

sterol influx transporter actively involved in <strong>the</strong> cholesterol homeostasis pathway.<br />

NPC1L1 proteins are highly expressed in <strong>the</strong> apical membrane <strong>of</strong> enterocytes and<br />

<strong>the</strong> canalicular membrane <strong>of</strong> hepatocytes. Single Nucleotide Polymorphism (SNP)<br />

rs1468384 <strong>of</strong> Niemann-Pick C1-Like 1 Gene is <strong>the</strong> result <strong>of</strong> a nucleotide change<br />

G to A at position 2993 <strong>of</strong> <strong>the</strong> cDNA sequence in exon 2, and it results in <strong>the</strong><br />

substitution <strong>of</strong> isoleucine for methionine at amino acid 510 <strong>of</strong> <strong>the</strong> NPC1L1 protein.<br />

This polymorphism shows decrease in <strong>the</strong> stability <strong>of</strong> <strong>the</strong> protein as analysed in<br />

silico by MuPro and StructureSNP s<strong>of</strong>twares. Related data on allelic frequency <strong>of</strong><br />

this polymorphism in Nepalese population are not available. In this study we have<br />

identified <strong>the</strong> SNP rs1468384 by Polymerase Chain Reaction - Restriction Fragment<br />

Length Polymorphism (PCR-RFLP) technique and determined <strong>the</strong> allelic frequency <strong>of</strong><br />

this polymorphism in Nepalese subjects by genotype counting.<br />

Methods: A total number <strong>of</strong> 74 healthy subjects were randomly selected within<br />

Kathmandu valley. DNA from blood cells was isolated with <strong>the</strong> DNAsure ® blood<br />

mini-kit from Genetix, India. The PCR reaction was optimized for 200 ng <strong>of</strong> DNA.<br />

The primer pair selected was according to Praveen P. Balgir et al. 2009 precisely<br />

amplifying <strong>the</strong> SNP specific Exon2 fragment <strong>of</strong> NPC1L1 gene. PCR products showing<br />

a single prominent band <strong>of</strong> 437bp were processed for restriction digestion with BccI<br />

(New England Biolabs).<br />

Genotype distribution and Allelic frequency were calculated using PopGene.<br />

S ⋀ 2(version 1.00) s<strong>of</strong>tware. All <strong>the</strong> statistical analysis were done using IBM SPSS<br />

Statistics (version 19) s<strong>of</strong>tware. All tests <strong>of</strong> statistical significance were two sided with<br />

95% confidence intervals (CI).<br />

Results: Among <strong>the</strong> total 74 subjects under study, 30 subjects were males while 44<br />

subjects were females. Their mean age was 34.93 ± 10.11 years (males : 34.93 ± 10.57<br />

and females: 34.93 ± 9.93 years). After digestion <strong>of</strong> <strong>the</strong> 437 bp fragment obtained by<br />

PCR amplification, <strong>the</strong> three possible genotypes were distinguishable: homozygous<br />

AA (437 bp), heterozygous GA (437, 278 and 159 bp), and homozygous GG (278<br />

and 159 bp). Genotype count for homozygous GG allotype was <strong>the</strong> highest while<br />

a complete absence <strong>of</strong> homozygous AA allotype was found. Genotype distribution<br />

was in accordance with Hardy-Weinberg Equilibrium (X 2 =2.02, DF=1). Genotype<br />

frequency distribution among Gender was not statistically significant as analysed by<br />

Chi-square test (X 2 = 0.62, DF=1, p value =0.427). ‘G’ allele frequency (p=0.8581)<br />

was found to be high in Nepalese population compared to that <strong>of</strong> ‘A’ allele (q=0.1419).<br />

Conclusions: The study <strong>of</strong> genotype frequency distribution for SNP rs1468384 in<br />

Nepalese population for <strong>the</strong> first time will definitely serve as a major achievement<br />

in understanding some complex disease states as a<strong>the</strong>rosclerosis resulting due to any<br />

interruption in <strong>the</strong> cholesterol pathway. Relatively higher prevalence <strong>of</strong> rs1468384<br />

polymorphism among Nepalese population was found in this study.<br />

A30 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Molecular Pathology/Probes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-106<br />

Evaluation <strong>of</strong> six SNPs <strong>of</strong> microRNA machinery genes and risk <strong>of</strong><br />

tuberculosis in Chinese Tibetan population<br />

X. Song, S. Li, Y. Zhou, J. Zhou, X. Lu, J. Wang, Y. Zhou, Y. Ye, L. Wang,<br />

B. Ying. West China Hospital <strong>of</strong> Sichuan University, Chengdu, China<br />

Background: MicroRNAs (miRNAs) act as posttranscriptional regulators <strong>of</strong><br />

gene expression by targeting mRNA transcripts for ei<strong>the</strong>r mRNA degradation<br />

or translational repression. Recent studies suggest that miRNAs might involve<br />

in <strong>the</strong> immunological mechanism for anti-tuberculosis(TB) protection. Whe<strong>the</strong>r<br />

<strong>the</strong> polymorphisms in genes involved in <strong>the</strong> processing <strong>of</strong> miRNAs into maturity<br />

influence <strong>the</strong> susceptibility <strong>of</strong> a person to TB has not yet been elucidated. In this study,<br />

we investigated <strong>the</strong> association between TB risk and single nucleotide polymorphisms<br />

(SNPs) in microRNA machinery genes in Chinese Tibetan population, which live in<br />

<strong>the</strong> high altitude environment, leading to a series <strong>of</strong> physiological characteristics<br />

differentiate from plainsmen.<br />

Methods: We assessed <strong>the</strong> associations between TB as a risk and six potentially<br />

functional SNPs from five miRNA processing genes (DROSHA, DGCR8, DICER,<br />

AGO1, and GEMIN4) in a case-control study <strong>of</strong> 294 tuberculosis patients and 287<br />

frequency-matched (age, gender, and ethnicity) controls from Tibetan/a native <strong>of</strong><br />

Tibet. All <strong>the</strong> SNPs (rs10719, rs3757, rs3742330, rs636832, rs7813, and rs3744741)<br />

were genotyped by high resolution melting method.<br />

Results: The genotype distributions <strong>of</strong> <strong>the</strong> six SNPs in patients and controls were<br />

all within Hardy-Weinberg equilibrium (HWE) except rs3744741 and rs3757 whose<br />

genotype distributions in controls were not in accordance with HWE. The allele and<br />

genotype frequencies <strong>of</strong> rs3742330 were quite different in patients and controls.<br />

Genotype frequencies <strong>of</strong> <strong>the</strong>se three SNPs (rs10719, rs636832, rs7813) didn’t show<br />

great vibration between tuberculosis patients and normal subjects. Meanwhile, allele<br />

frequencies <strong>of</strong> <strong>the</strong>se three SNPs analogously distributed between case and control<br />

group. The genotype frequency <strong>of</strong> rs3744741 was obviously different in patients<br />

and controls, and as for rs3757, nei<strong>the</strong>r genotype nor allele distribution was found<br />

to be associated with tuberculosis, however, we could not draw conclusions as <strong>the</strong>ir<br />

genotype distributions were deviated from HWE. All <strong>the</strong> cases were divided into two<br />

groups based on infection sites: <strong>the</strong> pulmonary tuberculosis group and <strong>the</strong> co-infected<br />

with both pulmonary and extra-pulmonary tuberculosis group. Between two groups, it<br />

did not really make any big difference <strong>of</strong> genotype distributions and allele frequencies<br />

<strong>of</strong> <strong>the</strong> six SNPs.<br />

Conclusion: Our results suggested that <strong>the</strong> specific genetic variants in microRNA<br />

machinery genes may affect TB susceptibility. In this study, rs3742330 <strong>of</strong> <strong>the</strong> DICER<br />

gene was found to be associated with altered TB risk in Tibetan. This finding suggests<br />

that rs3742330 might be a useful marker for determining <strong>the</strong> susceptibility to TB<br />

in Tibetan and that <strong>the</strong> DICER gene might be involved in <strong>the</strong> development <strong>of</strong> this<br />

disorder. Fur<strong>the</strong>r epidemiological and functional studies in a larger population are<br />

warranted to validate <strong>the</strong>se results.<br />

A-107<br />

Comparison <strong>of</strong> Hybrid Capture II and a New Multiplex Real-Time PCR assay<br />

for <strong>the</strong> Detection <strong>of</strong> Human Papillomavirus (HPV) Infections<br />

C. Yi, M. Kwon, S. Yu, K. Ko, H. Woo, H. Park. Kangbuk Samsung<br />

Hospital, Seoul, Korea, Republic <strong>of</strong><br />

Background: Human Papillomavirus (HPV) testing is an important part <strong>of</strong> cervical<br />

cancer screening and management <strong>of</strong> women with atypical screening results. The<br />

aim <strong>of</strong> <strong>the</strong> present study was to evaluate performance <strong>of</strong> a new multiplex real-time<br />

PCR assay (Anyplex II HPV28 Detection, Seegene, Korea) for detecting high risk<br />

HPVs compared to <strong>the</strong> Hybrid Capture 2 (HC2) assay.<br />

Methods: A total <strong>of</strong> 1,114 cervical swab specimens were consecutively obtained in<br />

healthy women who visited a healthcare center. All specimens underwent testing for<br />

HPV detection using <strong>the</strong> HC2 assay. If any discrepant results <strong>of</strong> HPV assays were<br />

detected using <strong>the</strong> two methods, <strong>the</strong>se samples were additionally tested with multiplex<br />

PCR and direct sequencing using common and type specific primers.<br />

Results: Among <strong>the</strong> 1,114 specimens, <strong>the</strong> HC2 assay detected 6.5% (72/1,114) cases<br />

<strong>of</strong> HPV with high risk screening, while <strong>the</strong> Anyplex II HPV28 assay identified 12.4%<br />

(138/1,114) cases with high risk genotypes. The overall percent agreement between<br />

<strong>the</strong> HC2 and Anyplex II HPV28 tests was 91.4% (1,018 out <strong>of</strong> 1,114 specimens).<br />

Discrepant results between <strong>the</strong>se assays were presented in 96 cases and <strong>the</strong>se<br />

specimens underwent fur<strong>the</strong>r analysis by multiplex PCR and direct sequencing. Of<br />

<strong>the</strong>se 96 specimens, 15 cases were positive only by HC-II but <strong>the</strong> 9 cases were low<br />

risk HPV genotypes or o<strong>the</strong>r types, and 81 cases were positive only by Anyplex II<br />

HPV28 but <strong>the</strong> 67 cases were high risk HPV genotypes including 13 cases <strong>of</strong> 16 and/<br />

or 18 HPV genotypes and 54 cases <strong>of</strong> non-16/18 high risk genotypes, respectively.<br />

Conclusion: When comparing <strong>the</strong> HC2 and Anyplex II HPV28 assay for <strong>the</strong><br />

detection <strong>of</strong> high risk HPV genotypes, <strong>the</strong> Anyplex II HPV28 assay exhibited higher<br />

concordance with comprehensive genotyping. The Anyplex II HPV28 assay could be<br />

used as a single test for identifying HPV types form clinical specimens.<br />

A-108<br />

A case <strong>of</strong> de novo non-mosaic isodicentric X chromosome: 46,X,idic(X)<br />

(q24)<br />

D. Jeon 1 , W. Lee 1 , S. Park 1 , J. Lee 1 , J. Ha 1 , N. Ryoo 1 , J. Kim 1 , H. Kim 2 .<br />

1<br />

Department <strong>of</strong> Laboratory Medicine, Keimyung University School<br />

<strong>of</strong> Medicine, Daegu, Korea, Republic <strong>of</strong>, 2 Department <strong>of</strong> Pediatrics,<br />

Keimyung University School <strong>of</strong> Medicine, Daegu, Korea, Republic <strong>of</strong><br />

Isodicentric X chromosomes with an Xq deletion are uncommon. Most <strong>of</strong> previous<br />

cases were mosaic 45,X/46,X,idic(Xq), which showed mainly Turner stigma,<br />

<strong>the</strong>n caused confusion in analysis <strong>of</strong> phenotype-karyotype correlation. Nonmosaic<br />

46,X,idic(X) with Xq deletion are very rare and <strong>the</strong>ir phenotypes typically<br />

include irregular menstruation, primary or secondary amenorrhea, and possibly<br />

gonadal dysgenesis. Therefore, most <strong>of</strong> patients were diagnosed at later age due to<br />

reproductive problem or atypical sexual development. Short stature is a very rare<br />

finding in non-mosaic 46,X,idic(Xq) patients, to <strong>the</strong> best <strong>of</strong> our knowledge, <strong>the</strong>re<br />

have been no case who was diagnosed due to short stature as main abnormality. We<br />

describe a 8-year-old patient with a de novo non-mosaic isodicentric X chromosome.<br />

She visited our hospital due to short stature (119cm, 5-10 percentile). The patient<br />

was generally healthy and had no dysmorphic features, including Turner stigmata,<br />

psychologic problem or medical concerns. Tests for follicle stimulating hormone,<br />

luteinizing hormone, growth hormone, and thyroid pr<strong>of</strong>ile were within normal.<br />

Karyotyping showed non-mosaic 46,X,idic(X)(q24), and FISH using CEP X probes<br />

showed isodicentric X chromosomes in 300/300 metaphase cells. The karyotypes<br />

<strong>of</strong> both parents were normal indicating that this is a de novo changes. Now, <strong>the</strong><br />

patient is being treated with growth hormone, getting regular follow-up. Although<br />

this patient has only short stature without o<strong>the</strong>r abnormalities now, fur<strong>the</strong>r hormonal<br />

changes must be checked until she reaches <strong>the</strong> age <strong>of</strong> puberty for checking abnormal<br />

reproductive problems.<br />

A-109<br />

The first report <strong>of</strong> 47,XXX/47,XX,+8 mosaicism<br />

D. Jeon 1 , W. Lee 1 , S. Park 1 , J. Lee 1 , J. Ha 1 , N. Ryoo 1 , J. Kim 1 , H. Kim 2 .<br />

1<br />

Department <strong>of</strong> Laboratory Medicine, Keimyung University School<br />

<strong>of</strong> Medicine, Daegu, Korea, Republic <strong>of</strong>, 2 Department <strong>of</strong> Pediatrics,<br />

Keimyung University School <strong>of</strong> Medicine, Daegu, Korea, Republic <strong>of</strong><br />

Trisomy 8 mosaicism (T8M), also known as Warkany syndrome, is found about<br />

1/25,000 to 50,000 live borns. The phenotype is variable from normal to severe<br />

malformation, and includes an abnormal faces, reduced joint mobility, various<br />

vertebral and costal anomalies, eye anomalies, camptodactyly and deep plantar<br />

and palmar creases. Mental retardation is frequent and varies from mild to severe<br />

although some have normal intelligence. Because <strong>of</strong> extremely variable phenotype<br />

and disappearance <strong>of</strong> abnormal cell line from peripheral blood by aging, trisomy 8<br />

is <strong>of</strong>ten goes undiagnosed. Most, perhaps all, cases are mosaic with a normal cell<br />

line, 46,XY or 46,XX, because complete trisomy 8 is lethal. However, to <strong>the</strong> best<br />

<strong>of</strong> our knowledge, mosaicism <strong>of</strong> triosmy 8 with trisomy X has not been reported,<br />

yet.We report a 10-year-old girl with 47,XXX/47,XX,+8 mosaicism. She visited our<br />

hospital for evaluation <strong>of</strong> tall stature and frequent infections. Her weight was 50 Kg<br />

(95-97 percentile) and height was 160 cm (>97 percentile). She had deformity <strong>of</strong><br />

toes and camptoctyly <strong>of</strong> left middle finger. But o<strong>the</strong>r skeletal abnormalities or face<br />

abnormalities were not noticed. She had severe frequent upper respiratory infection,<br />

oral ulcer and vaginal discharge for 6 years. In conventional karyotyping <strong>of</strong> peripheral<br />

blood, 47,XXX[35]/47,XX,+8[15] mosaicism was found in 50 metaphase cells. In<br />

FISH analysis, whereas peripheral blood cells showed trisomy 8 in 40%, buccal<br />

cells showed in 12.5%. Karyotype <strong>of</strong> both parents showed normal. Although <strong>the</strong><br />

phenotype <strong>of</strong> trisomy 8 is highly variable, tall stature is very rare. Our patient has<br />

tall stature and this is likely to be related to 47,XXX cell line ra<strong>the</strong>r than trisomy 8.<br />

However, skeletal abnormalities found in toes or fingers are similar with those found<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A31


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Molecular Pathology/Probes<br />

in T8M. Although little correlation between <strong>the</strong> level <strong>of</strong> mosaicism and <strong>the</strong> extent<br />

<strong>of</strong> <strong>the</strong> clinical phenotype has been reported, relatively low percentage <strong>of</strong> trisomy 8<br />

cell compared to trisomy X cell might result in relative mild phenotypes. Moreover,<br />

trisomy 8 cells <strong>of</strong> this case are guessed to originate from 47,XXX cell through mitotic<br />

dysjunction, because trisomy 8 cells are less frequent than trisomy X cells in not<br />

only peripheral blood but also buccal tissues, and most <strong>of</strong> trisomy 8 is thought to<br />

be due to mitotic dysjunction during early zygotic development. Here, we report <strong>the</strong><br />

first case <strong>of</strong> 47,XXX/47,XX,+8 mosaicism who showed tall stature and mild skeletal<br />

abnormalities.<br />

A-110<br />

Establishing Analytical Methods for CYP2D6 Genotyping and<br />

Measurement <strong>of</strong> Tamoxifen and its Metabolites for <strong>the</strong> Assessment <strong>of</strong><br />

Tamoxifen Therapy<br />

B. Y. L. Wong 1 , L. Fu 2 , A. Romaschin 3 , E. Warner 4 , H. Vandenberghe 3 , D.<br />

E. C. Cole 5 . 1 Sunnybrook Health Sciences Centre, Toronto, ON, Canada,<br />

2<br />

Department <strong>of</strong> Clinical Pathology, Sunnybrook Health Sciences Centre;<br />

Department <strong>of</strong> Laboratory Medicine and Pathobiology, University <strong>of</strong><br />

Toronto, Toronto, ON, Canada, 3 Department <strong>of</strong> Biochemistry and Li Ka<br />

Shing Research Institute, St. Michaels Hospital; Department <strong>of</strong> Laboratory<br />

Medicine and Pathobiology, University <strong>of</strong> Toronto, Toronto, ON, Canada,<br />

4<br />

Department <strong>of</strong> Medical Oncology, Odette Cancer Centre, Sunnybrook<br />

Health Sciences Centre, Toronto, ON, Canada, 5 Department <strong>of</strong> Clinical<br />

Pathology, Sunnybrook Health Sciences Centre; Department <strong>of</strong> Laboratory<br />

Medicine and Pathobiology, Pediatrics (Genetics), and Medicine,<br />

University <strong>of</strong> Toronto, Toronto, ON, Canada<br />

Background and objectives: Some studies have demonstrated a clinically relevant<br />

impact <strong>of</strong> CYP2D6 genotype on outcome <strong>of</strong> tamoxifen <strong>the</strong>rapy. However, recent data<br />

suggests that less than 40% <strong>of</strong> interindividual variability in plasma levels <strong>of</strong> active<br />

metabolite endoxifen can be explained by CYP2D6 genotype. Our study aimed to<br />

(1) establish analytical methods for CYP2D6 genotyping and measurement <strong>of</strong><br />

tamoxifen and metabolites; (2) evaluate <strong>the</strong> genotype-phenotype relationships; (3)<br />

explore <strong>the</strong> potential roles <strong>of</strong> genotyping and <strong>the</strong>rapeutic-drug-monitoring (TDM) in<br />

individualizing tamoxifen <strong>the</strong>rapy.<br />

Methodology: Subjects: 100 consecutive breast cancer patients were recruited from<br />

<strong>the</strong> Medical Oncology Clinics at Sunnybrook Odette Cancer Centre over 6 months. To<br />

be included in <strong>the</strong> study, patients needed to be receiving tamoxifen 20 mg/day for at<br />

least 6 weeks, for chemoprevention, adjuvant <strong>the</strong>rapy or metastatic disease.<br />

CYP2D6 Genotyping: Extracted DNA was genotyped using long-range PCR and<br />

multiplexed primer extension reactions. Long-range PCR products for duplication or<br />

deletion were detected by 1% agarose gel electrophoresis. SNaPshot reaction products<br />

were detected by ABI PRISM 3100-Avant Genetic Analyzer (Applied Biosystems,<br />

USA). Measurement <strong>of</strong> tamoxifen and metabolites: Tamoxifen and metabolites were<br />

quantitated by liquid chromatography tandem mass spectrometry (LC-MS/MS),<br />

with an LC-20AD Prominence binary solvent delivery system with a column oven,<br />

DGU-20A3 online degasser and SIL-HTc controller (Shimadzu, Kyoto, Japan) and<br />

3200 QTrap triple quadrupole mass spectrometer equipped with heated electrospray<br />

ionization source (ABSciex).<br />

Statistic analysis: SPSS v20.0 (SPSS Inc., Chicago IL) s<strong>of</strong>tware package was used<br />

for data analysis.<br />

Results and validation:<br />

1. Our genotyping method determined 13 polymorphic CYP2D6 variants and <strong>the</strong><br />

major rearrangements <strong>of</strong> <strong>the</strong> entire CYP2D6 gene. The alleles detected included: *2A,<br />

*2, *3, *4, *6, *8, *9, *10, *14, *17, *29, *35, *41, gene deletion *5, and gene<br />

duplication. Our method was validated by testing control samples from ParagonDx<br />

(n=9) as well as parallel comparisons with o<strong>the</strong>r laboratories using different methods<br />

(n=50).<br />

2. Our LC-MS/MS method was able to quantify <strong>the</strong> plasma concentrations <strong>of</strong><br />

tamoxifen, endoxifen, 4-hydroxytamoxifen (4OHtam), N-desmethyltamoxifen<br />

(NDtam) simultaneously. In our cohort, <strong>the</strong> median plasma concentrations (and range)<br />

<strong>of</strong> <strong>the</strong>se compounds were: 253 (75-734), 16 (2.3-64), 2.3 (0.5-6.2) and 468 (73-1120)<br />

ng/mL (n=98), respectively.<br />

3. Based on genotyping results, our patients were classified into 6 subgroups:<br />

ultra metabolizers (UM, increased, n=4); extensive metabolizers 1 (EM1, normal,<br />

n=39); EM2 (slightly reduced, n=18); EM3 (modestly reduced, n=22); intermediate<br />

metabolizers (IM, moderately reduced, n=12); and poor metabolizers (PM,<br />

significantly reduced, n=4). This metabolic pr<strong>of</strong>iling significantly correlated with<br />

endoxifen levels as well as log-transformed ratios <strong>of</strong> endoxifen/NDtam and ratios <strong>of</strong><br />

4OHtam/tamoxifen (p10-fold). These could not be explained by genotype alone.<br />

Conclusions:<br />

1. Our CYP2D6 genotyping method is an accurate and reproducible means <strong>of</strong> detecting<br />

an allelic panel selected for our local patient population.<br />

2. CYP2D6 genotyping predicts plasma levels <strong>of</strong> tamoxifen and its metabolites.<br />

3. Both approaches <strong>of</strong> genotyping and TDM may be used for future studies to evaluate<br />

<strong>the</strong> impact <strong>of</strong> genetic variations, metabolite levels and adherence to individualized<br />

tamoxifen <strong>the</strong>rapy.<br />

A-111<br />

Genotyping in <strong>the</strong> Chemistry Laboratory: Workflow for CYP2C9<br />

Single Nucleotide Polymorphism (SNP) Identification<br />

A. Kantartzis, W. Clarke, M. A. Marzinke. The Johns Hopkins University<br />

School <strong>of</strong> Medicine, Baltimore, MD<br />

Background: Genetic variability in drug metabolizing enzymes, including<br />

members <strong>of</strong> <strong>the</strong> hepatic cytochrome P450 (CYP450) superfamily, may have<br />

significant pharmacokinetic and pharmacodynamic consequences in an individual.<br />

For example, CYP2C9 genetic variability can influence <strong>the</strong> metabolism <strong>of</strong> anticoagulants,<br />

anti-epileptics and analgesics. Therefore, knowledge <strong>of</strong> an individual’s<br />

genotype, specifically <strong>of</strong> single nucleotide polymorphisms (SNPs), could drastically<br />

improve drug dosing as well as reduce <strong>the</strong> frequency <strong>of</strong> adverse events. Current<br />

pharmacogenetic testing methods, such as pyrosequencing and GeneChip arrays, are<br />

costly and laborious. In this study, we present <strong>the</strong> development <strong>of</strong> a novel, streamlined<br />

approach for SNP identification, using CYP2C9 as a model. The method includes an<br />

initial screen for aberrant genetic sequences via high resolution melting curve (HRM)<br />

analysis. This is followed by reflexed testing <strong>of</strong> non-wild type variants using probebased<br />

quantitative PCR (qPCR) to detect whe<strong>the</strong>r variants contain <strong>the</strong> specific SNP<br />

<strong>of</strong> interest.<br />

Method: Sequence-specific primers were designed to amplify regions flanking<br />

<strong>the</strong> CYP2C9 SNPs, within wild type (WT) and variant CYP2C9*2 (430C>T) and<br />

CYP2C9*3 (1075A>C) control DNA samples. PCR reactions for both HRM and qPCR<br />

were prepared using <strong>the</strong> QIAgility liquid-handling system and DNA amplification<br />

occurred on <strong>the</strong> Rotor-Gene Q <strong>the</strong>rmocycler (QIAGEN). All qPCR reactions contained<br />

ei<strong>the</strong>r a WT or variant probe and amplifications were normalized to a housekeeping<br />

gene (albumin). HRM analysis as well as qPCR quantitation was performed by <strong>the</strong><br />

Rotor-Gene Q s<strong>of</strong>tware. Within-run and between-run precision (% CVs) for both<br />

HRM and qPCR approaches were calculated from <strong>the</strong> melting temperatures for HRM<br />

(n=5) and from cycle thresholds (C T<br />

) for probe-based qPCR (n=3).<br />

Results: HRM screening was able to differentiate wild-type CYP2C9 amplicons from<br />

both CYP2C9*2 and CYP2C9*3 variants, by producing distinct melting curve patterns<br />

for all three controls. HRM analysis showed within-run and between-run precision <strong>of</strong><br />

0.02% and 0.13% for CYP2C9 WT, 0.02% and 0.16% for CYP2C9*2 and 0.11% and<br />

0.16% for CYP2C9*3, respectively. Reflexed probe-based qPCR analysis was <strong>the</strong>n<br />

carried out on wild type and variant controls. Quantitation <strong>of</strong> reactions containing <strong>the</strong><br />

WT probe resulted in <strong>the</strong> detection <strong>of</strong> <strong>the</strong> amplified WT control but not <strong>of</strong> <strong>the</strong> mutant<br />

control. Subsequently, analysis <strong>of</strong> reactions containing <strong>the</strong> mutant probe resulted only<br />

in <strong>the</strong> detection <strong>of</strong> <strong>the</strong> amplified mutant sample. Within and between-run precision for<br />

<strong>the</strong> probe based qPCR assays were calculated as 0.62% and 1.11% for CYP2C9 WT,<br />

3.53% and 1.23% for CYP2C9*2 and 4.49% and 3.59% for CYP2C9*3, respectively.<br />

All PCR amplicons were confirmed for primer specificity by electrophoresis and for<br />

genotyping accuracy by single nucleotide extension Sanger-sequencing.<br />

Conclusion: HRM analysis is a precise and robust screening tool for discriminating<br />

CYP2C9 WT from non-WT variant genotypes. Since variants are seen at a


Molecular Pathology/Probes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-112<br />

Preparation from stabilized blood samples for quantitative RT-PCR<br />

without conventional RNA purification using <strong>the</strong> Life Technologies<br />

Stabilized Blood-to-CT Nucleic Acid Preparation Kit for qPCR<br />

W. Nie, T. Barta, D. Gutierrez, A. Shi, J. Wang. Life Technologies, Foster<br />

City, CA<br />

Background: Traditionally, RNA purification is <strong>the</strong> first step for gene expression<br />

analysis, but even <strong>the</strong> fastest and simplest RNA purification methods take about 1 hour<br />

total time for only twelve blood samples collected in ei<strong>the</strong>r PreAnalytiX PAXgene<br />

or Life Technologies (LT) Tempus blood RNA tubes. To expedite and simplify<br />

<strong>the</strong> gene expression analysis workflow, Life Technologies (LT) has developed an<br />

innovative Stabilized Blood-to-Ct kit that creates a lysate from 500 uL <strong>of</strong> stabilized<br />

blood (ei<strong>the</strong>r PAXgene or Tempus Blood RNA tubes) in three straightforward steps:<br />

pellet, wash and digestion. The procedure can be performed at room temperature<br />

within 60 minutes per 96 samples; substantially shortening <strong>the</strong> time consuming RNA<br />

preparation process. Real-time RT-PCR can be performed with <strong>the</strong> prepared lysates<br />

immediately afterwards.<br />

Methods: Blood were collected with LT Tempus blood RNA tubes. In parallel, one<br />

tube was processed using MagMAX RNA Isolation kit and pure RNA generated, <strong>the</strong><br />

o<strong>the</strong>r tube was divided into 16X500ul aliquots, processed in one batch using Bloodto-Ct<br />

Nucleic Acid Preparation kit for qPCR, and lysates generated. Pure RNA and<br />

16 prepared lysates were <strong>the</strong>n reverse-transcribed to cDNA, respectively, using<br />

SuperScript VILO cDNA Syn<strong>the</strong>sis kit. Since each Blood-to-Ct kit can process as low<br />

as 500ul stabilized blood (<strong>the</strong> volume ratio <strong>of</strong> blood to stabilization buffer is 1:2), <strong>the</strong><br />

amount <strong>of</strong> RNA in <strong>the</strong> prepared lysate may not be enough for testing and/or archiving,<br />

<strong>the</strong>refore, additional pre-amplification step was added in this study, starting cDNA<br />

materials were increased prior to qPCR and <strong>the</strong> resulting pre-amplification products<br />

were <strong>the</strong>n used for qPCR. qPCR was performed using LT ViiA7 real-time PCR system<br />

(384 well format). Data were analyzed to evaluate not only between pure RNA and<br />

lysate, but also between non-amplified and pre-amplified DNA samples.<br />

Results: The amount <strong>of</strong> RNA from prepared lysates were quantified using LT<br />

Qubit, pure RNA was quantified using NanoDrop to roughly control <strong>the</strong> range <strong>of</strong><br />

input amount in <strong>the</strong> RT step. The quantities <strong>of</strong> generated cDNA and fur<strong>the</strong>r preamplified<br />

dsDNA measured by NanoDrop were very close from both RNA resources.<br />

The starting cDNA materials were increased more than 300 times through preamplification<br />

process. The uniformity <strong>of</strong> pre-amplification was checked, out <strong>of</strong> tested<br />

7 lysates and 1 pure RNA samples across 10 TaqMan Gene Expression assays (8x10<br />

values), only 3 values show ΔΔCt>1.5, and two <strong>of</strong> <strong>the</strong>m can be explained with <strong>the</strong><br />

relatively low yields (high Cts) <strong>of</strong> one lysate. Ubc was used as reference gene for <strong>the</strong><br />

ΔΔCt calculation. The reproducibility <strong>of</strong> 16 manual preps using Blood-to-Ct kit was<br />

also analyzed and average CV <strong>of</strong> Cts is 0.0388.<br />

Conclusions: Our data shows comparable real-time RT-PCR performance <strong>of</strong> lysates<br />

prepared using LT Stabilized Blood-to-Ct kit with pure RNA isolated using MagMAX<br />

for Stabilized Blood Tubes RNA Isolation kit. Quantities <strong>of</strong> cDNA materials were<br />

increased more than 300 times through pre-amplification, providing unbiased<br />

amplification <strong>of</strong> targeted amplicons for analysis with TaqMan Gene Expression<br />

Assays.<br />

A-116<br />

Modified carbon fiber microelectodes with ru<strong>the</strong>nium oxide<br />

nanoparticles for sensitive detection <strong>of</strong> nitric oxide in biological<br />

samples.<br />

T. Bose, T. Bomberger, M. Bayachou. Cleveland State University,<br />

Cleveland, OH<br />

Nitric oxide is an important biological molecule that has diverse functions in human<br />

physiology. The concentration <strong>of</strong> NO in tissues and cells are <strong>of</strong> vital importance and<br />

<strong>the</strong> presence <strong>of</strong> too high or too low concentration <strong>of</strong> this reactive metabolite is <strong>the</strong><br />

source <strong>of</strong> a variety <strong>of</strong> disease states. The major challenges with NO measurement<br />

are its low nano-molar concentrations in tissues and short half-life. This calls for <strong>the</strong><br />

development <strong>of</strong> a method that is both sensitive and selective for <strong>the</strong> accurate detection<br />

<strong>of</strong> NO in biological systems. Out <strong>of</strong> <strong>the</strong> available analytical methods, electrochemical<br />

tools are most promising because <strong>the</strong>y allow for miniaturization <strong>of</strong> probes as well as<br />

direct and accurate detection.<br />

We fabricated <strong>the</strong> microelectrodes in house using single carbon fibers <strong>of</strong> 7μm diameter<br />

mounted on copper wires, sealed in glass capillaries with 2-mm <strong>of</strong> <strong>the</strong> tip exposed. We<br />

have developed a method based on electrodeposited ru<strong>the</strong>nium oxide nanoparticles<br />

on <strong>the</strong> surface <strong>of</strong> bare carbon fiber microelectrode as a platform for catalytic NO<br />

detection. Ru<strong>the</strong>nium has high affinity for NO and readily forms nitrosyls that can be<br />

oxidized electrochemically. This property is one among o<strong>the</strong>r reasons that led us to<br />

select ru<strong>the</strong>nium as an electrocatalyst <strong>of</strong> choice for NO detection.<br />

The electrodeposition <strong>of</strong> ru<strong>the</strong>nium oxide nanoparticles is performed in perchloric<br />

acid solution containing RuCl3 precursor with constant cycling <strong>of</strong> <strong>the</strong> potential at 100<br />

V/s scan rate for 20 minutes. Under optimum conditions, <strong>the</strong> nucleation <strong>of</strong> ru<strong>the</strong>nium<br />

oxide occurs on <strong>the</strong> surface <strong>of</strong> <strong>the</strong> carbon fiber, with somewhat aligned growth <strong>of</strong> <strong>the</strong><br />

nuclei that are in <strong>the</strong> 100-nm range in diameter as characterized by field emission<br />

scanning electron microscopy (FESEM).<br />

Electrocatalytic oxidation <strong>of</strong> <strong>the</strong> NO is assessed by cyclic voltammetry and<br />

amperometry in standing solutions. The ru<strong>the</strong>nium-modified microelectrodes exhibit<br />

rapid and reproducible response to NO at low applied potential (+0.5V vs. Ag/AgCl).<br />

Close analysis <strong>of</strong> <strong>the</strong> voltammograms shows that <strong>the</strong> addition <strong>of</strong> NO causes <strong>the</strong> anodic<br />

current <strong>of</strong> <strong>the</strong> Ru4+/6+ couple to increase with concomitant loss <strong>of</strong> reversibility. This<br />

behavior is a typical signature <strong>of</strong> an electrocatalytic process triggered by <strong>the</strong> oxidation<br />

<strong>of</strong> NO. The modified carbon microelectrodes typically show a five-fold increase in<br />

sensitivity compared to bare carbon micr<strong>of</strong>ibers. Our ru<strong>the</strong>nium-based NO sensor<br />

shows a detection limit in <strong>the</strong> vicinity <strong>of</strong> 500 pM, which is orders <strong>of</strong> magnitude lower<br />

than bare carbon fibers. We also show that this modified NO sensor has excellent<br />

linearity in relatively a wide range, including very low concentrations <strong>of</strong> NO.<br />

Application <strong>of</strong> this sensor in analytical measurement <strong>of</strong> NO in biological samples and<br />

at <strong>the</strong> level <strong>of</strong> live single cells will be presented and discussed.<br />

A-117<br />

Polymorphisms Of Renin Angiotensin System Genes In Uterine<br />

Leiomyomas Among Egyptian Females<br />

S. H. Gomaa 1 , A. M. Zaki 1 , M. M. Mokhtar 1 , M. S. Swelem 2 . 1 Medical<br />

Researh Institute, Alexandria University, Alex, Egypt, 2 Faculty <strong>of</strong> Medicine,<br />

Alexandria University, Alex, Egypt<br />

Background: Uterine leiomyomas are <strong>the</strong> most common gynecological benign<br />

myometrial neoplasms. They are benign tumours that arise from a single uterine<br />

smooth muscle cell. They commonly cause severe symptoms that can seriously impact<br />

women’s health. They have been associated with infertility and recurrent abortion as<br />

well as obstructed labour and post-partum haemorrhage. They are <strong>the</strong> most important<br />

indication for hysterectomy however; <strong>the</strong> exact etiology is not clearly understood.<br />

Several genetic, environmental and ethnic factors have been proposed.The renin<br />

angiotensin system (RAS), in particular Angiotensin Receptor Type 1 (AT1R) and to<br />

a lesser extent angiotensin II, angiotensin converting enzyme (ACE) and Angiotensin<br />

Receptor Type 2 (AT2R), are <strong>of</strong>ten up-regulated during <strong>the</strong> progression from normal<br />

to malignant phenotypes indicating a possible correlation between RAS and tumour<br />

progression. There is emerging evidence that <strong>the</strong> incidence <strong>of</strong> cancer is reduced in<br />

patients undergoing long-term treatment with drugs that inhibit RAS. O<strong>the</strong>r evidence<br />

suggests that angiotensin II directly stimulates cell growth via <strong>the</strong> AT1R and that<br />

its blockade inhibits tumour growth thus, genetic polymorphisms <strong>of</strong> RAS could be<br />

involved in development <strong>of</strong> uterine leiomyomas. The present study investigated <strong>the</strong><br />

association <strong>of</strong> A1166C single nucleotide polymorphism (SNP) <strong>of</strong> AT1R gene and<br />

insertion deletion (I/D) polymorphism <strong>of</strong> ACE gene with uterine leiomyomas in<br />

Egyptian females.<br />

Subjects: 70 females diagnosed as having uterine leiomyomas (preoperative pelvic<br />

ultrasonography and postoperative histopathological examination <strong>of</strong> <strong>the</strong> tumourtissue)<br />

were enrolled in <strong>the</strong> study(patient group) as well as 54 matched healthy females who<br />

never suffered from nor having family history <strong>of</strong> leiomyomas (control group). Intake<br />

<strong>of</strong> ACE inhibitors, angiotensin II receptor blockers or any drugs that affect ACE or<br />

angiotensin II levels or hormonal replacement <strong>the</strong>rapy were excluded.<br />

Methods::Ethylene Diamine Tetraacetic Acid (EDTA)-anticoagulated venous<br />

blood specimens were collected from <strong>the</strong> patients and controls. Deoxyribonucleic<br />

acids (DNA) was extracted from peripheral blood leucocytes using Genomic DNA<br />

Purification Kit, Fermentas and genotypes <strong>of</strong> A1166C polymorphism <strong>of</strong> AT1 receptor<br />

gene were detected by means <strong>of</strong> a polymerase chain reaction (PCR) amplification<br />

using specific primers followed by restriction digestion <strong>of</strong> PCR products using Dde-I<br />

enzyme, while PCR was used for <strong>the</strong> detection <strong>of</strong> I/D polymorphism <strong>of</strong> ACE gene<br />

using specific primers.<br />

Results: The genotype distribution patterns <strong>of</strong> A1166C polymorphism <strong>of</strong> AT1R gene<br />

among controls and leiomyoma patients were both in agreement with Hardy-Weinberg<br />

equilibrium (p=0.273 and p=0.494 respectively).Genotype frequencies in both groups<br />

revealed a statistically significant difference (p = 0.028) using Fisher-Freeman-<br />

Halton’s test, where patients had a higher frequency <strong>of</strong> CC genotype than controls<br />

(8.6% versus 0%), a higher frequency <strong>of</strong> AC than controls (35.7% versus 25.9%)<br />

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Molecular Pathology/Probes<br />

and a lower frequency <strong>of</strong> AA than controls (55.7% versus 74.1%). The distribution<br />

<strong>of</strong> different alleles in both groups was statistically significant (p=0.037704) using <strong>the</strong><br />

Fisher’s exact test. However, ACE I/D polymorphism was not found to be associated<br />

with uterine leiomyoma. Statistical analysis done using SPSS program version 20.<br />

Conclusions: We found a significant association <strong>of</strong> A1166C polymorphism in AT1R<br />

gene with uterine leiomyoma among Egyptian females suggesting that its potential<br />

regulatory function warrants fur<strong>the</strong>r investigation.<br />

A-118<br />

Detection <strong>of</strong> Microsatellite Instability in Colorectal Cancers<br />

F. B. De Abreu, M. C. Schwab, L. J. Tafe, G. J. Tsongalis. Dartmouth-<br />

Hitchcock Medical Center, Lebanon, NH<br />

Background: Microsatellites are repetitive sequences distributed throughout <strong>the</strong><br />

genome which are frequently copied incorrectly during DNA replication. The<br />

DNA mismatch repair (MMR) system, which consists <strong>of</strong> several proteins including<br />

MLH1, MSH2, MSH6 and PMS2, is responsible for <strong>the</strong> control and correction <strong>of</strong><br />

<strong>the</strong>se errors. Microsatellite markers are used to detect a form <strong>of</strong> genomic instability,<br />

known as microsatellite instability (MSI), which results from failure <strong>of</strong> <strong>the</strong> MMR<br />

system. MSI can be detected in approximately 15% <strong>of</strong> all colorectal cancers (CRCs).<br />

Approximately 3% <strong>of</strong> MSI CRCs cases are due to an inherited germline mutation<br />

in one <strong>of</strong> <strong>the</strong> DNA MMR genes, <strong>the</strong> o<strong>the</strong>r 12% are associated with a non-inherited<br />

form <strong>of</strong> DNA MMR inactivation caused by promotor methylation <strong>of</strong> <strong>the</strong> MLH1 gene.<br />

Here we provide validation data for microsatellite instability detection in patients with<br />

colorectal cancer.<br />

Methods: In this blinded study, DNA was isolated from 27 paired formalin-fixed<br />

paraffin-embedded colon tissues (normal and tumor) using Gentra PureGene Blood<br />

Kit Plus (Qiagen). We used <strong>the</strong> MSI Analysis System, version 1.2 (Promega) that<br />

includes fluorescently labeled primers for co-amplification <strong>of</strong> seven markers including<br />

five mononucleotide repeat markers (BAT-25, BAT-26, NR-21, NR24 and MONO-27)<br />

and two pentanucleotide repeat markers (Penta C and Penta D). The mononucleotide<br />

markers are used for MSI determination, and <strong>the</strong> pentanucleotide markers are<br />

used to confirm that <strong>the</strong> paired sample (normal and tumor) are from <strong>the</strong> same<br />

individual. Genomic DNA was amplified according to manufacturer’s instructions<br />

and PCR products were analyzed using ABI 3500 Genetic Analyzer with POP-7TM<br />

polymer and 50 cm capillary. The results were analyzed using Applied Biosystems<br />

GeneMapper® 4.1 s<strong>of</strong>tware. Tumors showing instability at two or more markers were<br />

defined as MSI-H, and those with instability at one repeat or showing no instability<br />

were defined as MSI-L and MSS tumors, respectively. Results were compared to MSI<br />

results from previous testing.<br />

Results: Of <strong>the</strong> 27 paired DNA samples, our assay was able to identify, with 100%<br />

accuracy, tumors with high or low instability and microsatellite stable tumors (8<br />

MSI-H, 1 MSI-L, 18 MSS). There was 100% reproducibility <strong>of</strong> detection between<br />

independent runs.<br />

Conclusions: Our data supports <strong>the</strong> use <strong>of</strong> <strong>the</strong> MSI Analysis System to provide highly<br />

sensitivity and reliable detection <strong>of</strong> microsatellite instability in a clinical laboratory.<br />

A-122<br />

Paternity inclusion and exclusion in different types <strong>of</strong> genetic kinship<br />

investigations conducted in a clinical laboratory <strong>of</strong> <strong>the</strong> Federal District<br />

(Brazil).<br />

C. Chianca 1 , T. Santa Rita 1 , J. Vasques 2 , L. Abdalla 2 , S. Costa 2 , C. Sousa 2 ,<br />

G. Barra 2 . 1 Universidade de Brasília, BRASILIA, Brazil, 2 Laboratório<br />

Sabin de Análises Clínicas, BRASILIA, Brazil<br />

Background: The paternity test is progressively becoming a clinical laboratory<br />

test. This analysis is based on comparing at least fifteen short tandem repeat (STR)<br />

DNA markers between <strong>the</strong> child and alleged fa<strong>the</strong>r, in <strong>the</strong> presence or absence <strong>of</strong><br />

<strong>the</strong> biological mo<strong>the</strong>r, which classifies <strong>the</strong> exam in trio or duo, respectively. The<br />

incompatibility in three or more STRs characterizes a paternity exclusion. The<br />

compatibility between all regions characterizes a paternity inclusion. The description<br />

<strong>of</strong> <strong>the</strong> types <strong>of</strong> cases (duo/trio) and results (inclusion/exclusion) in clinical laboratories<br />

are scarce. In this work, <strong>the</strong>se parameters were evaluated retrospectively after eighteen<br />

months <strong>of</strong> implementation <strong>of</strong> this test in our laboratory.<br />

Methods: Through <strong>the</strong> retrospective analysis <strong>of</strong> our database, we assessed <strong>the</strong> genetic<br />

kinship investigations performed between May 2011 and October 2012. Nine hundred<br />

and fourteen investigations were conducted, all involving individuals residing in<br />

Brazil’s Federal District. The type <strong>of</strong> case, <strong>the</strong> conclusion and <strong>the</strong>ir distribution over<br />

<strong>the</strong> months were recorded and presented as absolute and/or relative frequency and<br />

mean ± standard deviation, when appropriate. The chi-square test was used to compare<br />

<strong>the</strong> obtained ratios. University <strong>of</strong> Brasília ethical committee approved this study.<br />

Results: Out <strong>of</strong> a total <strong>of</strong> 914 paternity cases, <strong>the</strong> trios occurred in a higher prevalence<br />

compared to duos, 596 (65.2%) versus 318 (34.8%). Moreover, <strong>the</strong> inclusions were<br />

more prevalent than exclusions, 610 (66.7%) versus 304 (33.3%). Besides that, <strong>the</strong><br />

proportion <strong>of</strong> inclusion/exclusion were similar between trios and duos, 201 (33.72%)<br />

exclusions for trios and 103 (32.39%) exclusions for duos (p=0.68). Fur<strong>the</strong>rmore, <strong>the</strong><br />

inclusion/exclusion and trio/duo proportions remained homogeneous in <strong>the</strong> eighteenmonth<br />

studied period, 34.78 ± 6.78% for exclusions (p = 0.45) and 34.72 ± 5.26% for<br />

duos (p = 0.97).<br />

Conclusion: In paternity testing, <strong>the</strong> trios were more frequent than duo. This result<br />

can be explained by <strong>the</strong> fact that trio has lower complexity analysis than duo, because<br />

<strong>the</strong> alleles not transmited from mo<strong>the</strong>r are determined with precision, making it a test<br />

cheaper than duo. Fur<strong>the</strong>rmore, <strong>the</strong> paternity inclusion is <strong>the</strong> most prevalent result type<br />

and <strong>the</strong> inclusion/exclusion proportion observed in this study is similar to that reported<br />

by forensic laboratories (32%). Moreover, <strong>the</strong> homogenity in inclusion/exclusion and<br />

trio/duo proportions suggest that <strong>the</strong>se parameters associated with paternity testing<br />

remain similar over time.<br />

A-123<br />

HCV genotype distribution and determination <strong>of</strong> o<strong>the</strong>r variables<br />

related to <strong>the</strong> virus by assessing a clinical laboratory results database<br />

C. Chianca 1 , T. Santa Rita 1 , W. Vivas 2 , L. Velasco 3 , L. Abdalla 3 , S. Costa 3 ,<br />

G. Barra 3 . 1 Universidade de Brasília, BRASILIA, Brazil, 2 Universidade<br />

Tiradentes, ARACAJU-SE, Brazil, 3 Laboratorio Sabin, BRASILIA, Brazil<br />

Background: In 2011, FDA announced a recall <strong>of</strong> an in vitro nucleic acid amplification<br />

test for <strong>the</strong> quantification <strong>of</strong> HCV RNA that has been shown to under-quantify a subset<br />

<strong>of</strong> genotype 4 in patient specimens by approximately 1.0-1.5 log 10 in <strong>the</strong> absence <strong>of</strong><br />

any sequence mismatches. The distribution <strong>of</strong> <strong>the</strong>se tests also applies to this country.<br />

As <strong>the</strong> HCV genotype has significant geographic variation, this recall encouraged us<br />

to determine <strong>the</strong> prevalence <strong>of</strong> HCV genotypes and o<strong>the</strong>rs variables related to <strong>the</strong><br />

virus by assessing our clinical laboratory results database, and evaluating <strong>the</strong> possible<br />

impact <strong>of</strong> this under-quantification in our region.<br />

Methods: Through retrospective analysis <strong>of</strong> our HCV genotyping database, we<br />

assessed <strong>the</strong> sample results between January 2005 and September 2011. 480 samples<br />

were analyzed, 394 (82%) genotypes were determined and 86 (17.9%) had negative<br />

results (no genotypes detected). Of <strong>the</strong>se, 280 (58,2%) underwent quantification <strong>of</strong><br />

HCV RNA in <strong>the</strong> same day. The genotype prevalences and RNA quantification were<br />

identified and presented by gender and age group


Molecular Pathology/Probes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-124<br />

A CASE REPORT OF HEREDITARY HYPERFERRITINEMIA-<br />

CATARACT SYNDROME<br />

J. D. SANTOTORIBIO 1 , C. CAÑAVATE SOLANO 1 , A. GARCIA DE LA<br />

TORRE 1 , A. TORAL PEÑA 2 , F. ARCE MATUTE 1 , S. PEREZ RAMOS 1 .<br />

1<br />

Puerto Real University Hospital, Puerto Real (Cadiz), Spain, 2 Santa<br />

Isabel Hospital, Sevilla, Spain<br />

Background: Hereditary Hyperferritinemia-Cataract Syndrome (HHCS) is an<br />

autosomal dominant disorder characterized by elevated serum ferritin levels, without<br />

iron overload, and early-onset bilateral cataract. Its prevalence is at least 1/200,000<br />

and is caused by mutations within <strong>the</strong> iron responsive element (IRE) located in <strong>the</strong> in<br />

<strong>the</strong> 5’ untranslated region (UTR) <strong>of</strong> L-Ferritin gene (FTL). We report a new case <strong>of</strong><br />

family affected with HHCS.<br />

Methods: We studied fa<strong>the</strong>r and daughter (54 and 26 years old respectively)<br />

with hyperferritinemia and clinically silent bilateral cataract. No o<strong>the</strong>r clinical<br />

manifestations were noted and main causes <strong>of</strong> elevated ferritin levels had been<br />

previously excluded. Both patients underwent sequencing <strong>of</strong> <strong>the</strong> IRE region using <strong>the</strong><br />

following methodology:<br />

- Extraction and purification <strong>of</strong> genomic DNA from EDTA whole-blood samples.<br />

- DNA amplifi cation by polymerase chain reaction (PCR).<br />

- Direct sequencing <strong>of</strong> <strong>the</strong> double stranded purifi ed PCR product.<br />

- Bioinformatics analysis <strong>of</strong> <strong>the</strong> DNA sequence obtained by comparison with <strong>the</strong><br />

reference nucleotide sequence <strong>of</strong> <strong>the</strong> gene FTL.<br />

Results: Serum iron pr<strong>of</strong>ile <strong>of</strong> <strong>the</strong> fa<strong>the</strong>r was: serum iron = 94 μg/dl, ferritin = 1215<br />

ng/ml and transferrin saturation <strong>of</strong> 27.2%. The daughter´s pr<strong>of</strong>ile was: serum iron =<br />

86 μg/dl, ferritin = 700 ng/ml and transferrin saturation <strong>of</strong> 22%. Both patients showed<br />

<strong>the</strong> heterozygous IRE mutation c.-171C>G. This change has been described once as<br />

disease-causing mutation (BioBase).<br />

Conclusion: Sequencing <strong>of</strong> <strong>the</strong> IRE region may be included in <strong>the</strong> study <strong>of</strong> patients<br />

with hyperferritinemia and cataract. This case provides fur<strong>the</strong>r evidence that <strong>the</strong><br />

nucleotide change 171C>G in <strong>the</strong> IRE region <strong>of</strong> <strong>the</strong> FTL gene is causing HHCS.<br />

A-125<br />

Extraction and Amplification <strong>of</strong> Total Nucleic Acid (TNA) using BD<br />

MAX ExK TNA-2 and Ribonucleic Acid (RNA) Enrichment using<br />

BD MAX ExK DNase with Cerebrospinal Fluid (CSF) or Fresh<br />

Stool (Liquid or S<strong>of</strong>t) Specimens*<br />

R. Labourdette, V. Blanchette, I. Bourque, V. Brochu, H. Galarneau, J.<br />

Grondin, S. Lapointe, S. Létourneau, S. Roy, S. Simard, C. Roger-Dalbert.<br />

BD Diagnostics, Quebec, QC, Canada<br />

Background: The BD MAX System is a next generation sample-to-answer<br />

molecular testing platform. The new BD MAX TNA (for Total Nucleic Acid)<br />

suite, part <strong>of</strong> <strong>the</strong> Open System Reagent (OSR) series, combines specimen-specific<br />

extraction reagents (ExK) with universal PCR reagents (MMK) allowing users to<br />

extract, purify and amplify multiple RNA and DNA targets from a single biological<br />

specimen with <strong>the</strong>ir own user defined protocols. Users can select specimen volume,<br />

and individually program <strong>the</strong>rmocycling and analysis parameters. A Specimen<br />

Processing Control (SPC), consisting <strong>of</strong> an armored RNA incorporated into <strong>the</strong><br />

extraction reagents controls for extraction efficiency, reagent integrity and PCR<br />

inhibition by <strong>the</strong> sample. The objectives <strong>of</strong> this study were to demonstrate <strong>the</strong> capacity<br />

<strong>of</strong> <strong>the</strong> BD MAX ExK TNA-2 to extract, amplify and detect TNA and <strong>the</strong> capacity <strong>of</strong><br />

<strong>the</strong> BD MAX ExK DNase to enrich <strong>the</strong> RNA fraction <strong>of</strong> <strong>the</strong> extracted nucleic acids<br />

by degrading <strong>the</strong> DNA fraction.<br />

Methods: Sample preparation and amplification were performed from CSF and fresh<br />

stool specimens using <strong>the</strong> BD MAX System. For CSF, a volume <strong>of</strong> 200 μL was added<br />

to <strong>the</strong> Sample Buffer Tube (SBT) and for stool, a 10 μL loop was dipped into <strong>the</strong> stool<br />

and <strong>the</strong>n released in SBT. The RNA target was an inactivated Hepatitis C virus (HCV)<br />

at 1000 IU/mL in SBT while DNA targets were Klebsiella pneumoniae carbapenemase<br />

(KPC) genomic DNA at 2000 copies/mL and a Group B streptococcus (GBS) strain at<br />

1000 CFU/mL. A Specimen Processing Control (SPC) consisting <strong>of</strong> an armored RNA<br />

was co-extracted and co-amplified with <strong>the</strong> targets to control extraction efficiency,<br />

reagent integrity and PCR inhibition by <strong>the</strong> sample. The SPC is formulated with <strong>the</strong><br />

BD MAX ExK TNA-2 extraction reagent, and <strong>the</strong> corresponding primers and probe<br />

are dried within <strong>the</strong> BD MAX TNA MMK(SPC) reagent. Target-specific primers<br />

and probes are added to <strong>the</strong> reagent prior to use. Two combinations were tested with<br />

CSF (HCV/KPC/SPC; n=11 and GBS/SPC; n=5) and one with stool (GBS/SPC; n=6).<br />

For both specimens types, TNA testing was performed with BD MAX ExK TNA-2.<br />

For CSF only, BD MAX ExK DNase reagent was used to enrich <strong>the</strong> RNA portion <strong>of</strong><br />

<strong>the</strong> target by degrading <strong>the</strong> DNA portion.<br />

Results: When <strong>the</strong> BD MAX System was used with <strong>the</strong> BD MAX ExK TNA-2, a<br />

positive signal was obtained for KPC, HCV and SPC from CSF specimens (n=11) and<br />

for GBS and SPC from CSF (n=5) and stool specimens (n=6).<br />

With <strong>the</strong> BD MAX ExK TNA-2 and <strong>the</strong> BD MAX Exk DNase, a positive signal was<br />

obtained for HCV and SPC from CSF specimens (n=11). No signal was obtained for<br />

KPC.<br />

Conclusion: The BD MAX ExK TNA-2 used with BD MAX TNA MMK(SPC) can<br />

co-amplify DNA, RNA and SPC in CSF; and DNA and SPC in stool.<br />

The BD MAX ExK DNase can enrich RNA by degrading DNA in CSF processed with<br />

BD MAX ExK TNA-2.<br />

*The BD MAX ExK TNA-2, Exk DNase and TNA MMK(SPC) are not available for<br />

sale or use.<br />

A-126<br />

Validation <strong>of</strong> a diagnostic test for respiratory virus (CLART Pneumovir<br />

array) for clinical use in a private hospital in São Paulo - Brazil<br />

N. H. Muto, J. N. M. Rodrigues, V. M. Oliveira, C. L. P. Mangueira, J. R. R.<br />

Pinho, R. Sitnik. Hospital Albert Einstein, São Paulo, Brazil<br />

Background: Acute respiratory infections represent <strong>the</strong> most common causes <strong>of</strong><br />

medical consultation and hospitalization worldwide during <strong>the</strong> winter season. Due<br />

to <strong>the</strong> variety <strong>of</strong> possible pathogenic agents and <strong>the</strong> high frequency <strong>of</strong> coinfections,<br />

it is necessary to use diagnostic methods that allow multiple, sensitive, efficacious<br />

and rapid identification <strong>of</strong> all possible viruses present in <strong>the</strong> clinical sample to apply<br />

<strong>the</strong> appropriate treatment for <strong>the</strong> patient. Methods: In order to provide this type <strong>of</strong><br />

diagnostic test in patients <strong>of</strong> a private hospital in São Paulo - Brazil, we performed<br />

validation <strong>of</strong> <strong>the</strong> CLART Pneumovir array kit in our clinical laboratory. The kit is able<br />

to simultaneously detect 19 most common respiratory virus. The test was evaluated<br />

according to CAP guideline for qualitative assay.<br />

Methods: In order to provide this type <strong>of</strong> diagnostic test in patients <strong>of</strong> a private<br />

hospital in São Paulo - Brazil, we performed validation <strong>of</strong> <strong>the</strong> CLART Pneumovir<br />

array kit in our clinical laboratory. The kit is able to simultaneously detect 19 most<br />

common respiratory virus. The test was evaluated according to CAP guideline for<br />

qualitative assay.<br />

Results: For accuracy, we tested 29 samples with previous immun<strong>of</strong>luorescence<br />

result. We had a 90% correlation; however 34% <strong>of</strong> concordant samples also presented<br />

a co-infection with ano<strong>the</strong>r virus, possible due to a higher comprehensiveness<br />

and sensitivity <strong>of</strong> <strong>the</strong> array test. For reproducibility, 09 samples were assayed 3, 4<br />

or 5 times each one, and results were concordant with exception <strong>of</strong> contamination<br />

in 13% <strong>of</strong> replicates. That contamination led us to make adjustments to minimize<br />

environmental and operator contamination. During this process, we performed<br />

negative reproducibility using 28 samples <strong>of</strong> DEPC-treated water to ensure that <strong>the</strong><br />

adjustments were effective. For sensitivity, considering <strong>the</strong> high cost <strong>of</strong> <strong>the</strong> test, we<br />

established <strong>the</strong> limit <strong>of</strong> detection <strong>of</strong> one virus. Using a quantified H1N1 control we<br />

established <strong>the</strong> LOD <strong>of</strong> 150 copies/test and performed 20 replicates which resulted in<br />

80% confidence.<br />

Conclusion: CLART Pneumovir array test has been validated and included in <strong>the</strong><br />

clinical laboratory <strong>of</strong> <strong>the</strong> Hospital. The availability <strong>of</strong> <strong>the</strong> test represents an additional<br />

tool for clinical management, providing valuable information to <strong>the</strong> diagnostic<br />

process.<br />

A-129<br />

Detection <strong>of</strong> mutations in <strong>the</strong> genes NPM1 and FLT3 in Acute Myeloid<br />

Leukemia in patients with normal primary karyotype<br />

L. Caputo, F. Gandufe, A. Cobacho, O. Denardin, L. Scarpelli, N. Gaburo.<br />

DASA, Sao Paulo Brasil, Brazil<br />

Background: The acute myeloid leukemia (AML) affects individuals <strong>of</strong> all races<br />

and ages, predominantly in Caucasians. The AML is characterized as a malignant<br />

neoplasm <strong>of</strong> hematopoietic progenitor cells. About 50% <strong>of</strong> this type <strong>of</strong> leukemia<br />

has chromosomal abnormalities. The o<strong>the</strong>r 50% <strong>of</strong> karyotypes lacking cytogenetic<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Tuesday, July 30, 9:30 am – 5:00 pm<br />

Molecular Pathology/Probes<br />

alterations have been stratified according to molecular findings that distinguish<br />

predictions.<br />

Objective: In this work we studied <strong>the</strong> frequency <strong>of</strong> <strong>the</strong>se mutations in normal<br />

karyotype patients with newly diagnosed AML and in patients with AML undergoing<br />

study for minimal residual disease (MRD).<br />

Methods: A total <strong>of</strong> 10 bone marrow samples in heparinized syringe or tube were<br />

studied (5 patients with “de novo” AML and 5 AML undergoing treatment. Karyotype<br />

analyses was performed on all samples using short duration cell culture without<br />

mitogens agents, followed by <strong>the</strong> standard protocol for cell harvest and banding G.<br />

In each patient at least 20 metaphases were karyotyped and <strong>the</strong> final report described<br />

according to <strong>the</strong> norms <strong>of</strong> <strong>the</strong> International System for Cytogenetic Nomenclature<br />

(ISCN, 2009). Concurrently studies were performed to NPM1 and FLT3 mutations<br />

by multiplex PCR followed by capillary electrophoresis, in which patterns have been<br />

checked for specific peaks in <strong>the</strong> electropherogram <strong>of</strong> each gene.<br />

Results: Among patients with AML “de novo” and with normal karyotype (3/5),<br />

considered intermediate risk group, only 1 patient showed NPM1+ and FLT3-, <strong>the</strong><br />

o<strong>the</strong>rs showed NPM1- and FLT3-. All <strong>the</strong>se patients were categorized in <strong>the</strong> favorable<br />

risk group. Among patients with AML undergoing treatment and normal karyotype<br />

(4/5), <strong>the</strong>re were no mutations in <strong>the</strong>se genes. In <strong>the</strong> study <strong>of</strong> minimal residual disease<br />

(MRD), both as karyotype molecular methods were concordant for <strong>the</strong> evaluation <strong>of</strong><br />

treatment efficacy.<br />

Conclusion: Our results, despite <strong>the</strong> small sample, toge<strong>the</strong>r with <strong>the</strong> literature data,<br />

can guide <strong>the</strong> physician to apply karyotype and mutation study <strong>of</strong> gene NPM1 and<br />

FLT3 in patients with AML “de novo” and AML undergoing treatment because <strong>the</strong><br />

categorization risk in <strong>the</strong>se patients is important for management and monitoring <strong>of</strong><br />

<strong>the</strong>rapeutic treatment.<br />

A-130<br />

Analysis <strong>of</strong> SNP Genotype Calls Made with Chromosomal Microarrays<br />

in Reference and Case Samples<br />

F. B. De Abreu, G. J. Tsongalis, J. A. Lefferts. Dartmouth-Hitchcock<br />

Medical Center, Lebanon, NH<br />

Background: Chromosomal microarray (CMA) allows genome-wide testing <strong>of</strong><br />

copy number variations (CNVs) using copy number probes and/or single nucleotide<br />

polymorphism (SNP) probes. CMAs have become an important tool for medical and<br />

biological research and clinical diagnostic tests. At Dartmouth-Hitchcock Medical<br />

Center, clinical CMA testing is being performed in postnatal individuals for clinical<br />

presentations including intellectual disability, development delay, autism spectrum<br />

disorders and multiple congenital anomalies. Although <strong>the</strong>se genotypes for individual<br />

SNPs can be obtained <strong>the</strong>y are typically used more collectively to aid in evaluating<br />

copy number changes or detecting long contiguous stretches <strong>of</strong> homozygosity. Here<br />

we evaluate <strong>the</strong> individual SNP genotype calls in a SNP chromosomal microarray.<br />

Methods: We ran four cases and a normal reference sample in duplicate using <strong>the</strong><br />

CytoScan®HD microarray (Affymetrix) with probes targeting 749,157 different SNPs<br />

loci and 1.9 million non-polymorphic loci with an average intragenic spacing <strong>of</strong> 880<br />

base pairs and 384 base pairs for 340 genes. Microarrays were analyzed and genotypes<br />

obtained using <strong>the</strong> ChAS s<strong>of</strong>tware (Affymetrix). All samples passed standard quality<br />

control measures.<br />

Results: Of <strong>the</strong> 749,157 SNPs included on each microarray an average <strong>of</strong> 741,624<br />

(98.99%) calls were made per array (range <strong>of</strong> 734,360-744,941). When comparing<br />

duplicate runs <strong>of</strong> <strong>the</strong> same sample, <strong>the</strong> percentage <strong>of</strong> concordant SNP genotype<br />

calls was 99.92% for <strong>the</strong> reference DNA sample and 98.84%, 99.67 %, 99.89%, and<br />

99.93% for <strong>the</strong> patient samples.<br />

Conclusions: Although chromosomal microarrays including SNP probes are not<br />

generally used for genotyping purposes, we evaluated <strong>the</strong> SNP genotype calls in<br />

several samples to determine <strong>the</strong> reproducibility <strong>of</strong> <strong>the</strong> SNP calls as a measure <strong>of</strong> <strong>the</strong><br />

overall reproducibility <strong>of</strong> <strong>the</strong> microarray. The reproducibility between samples and<br />

<strong>the</strong>ir duplicates was on average 99.65% with respect to SNP genotype calls that were<br />

made. The variability in call rates and concordance rates might be attributed to minor<br />

differences sample processing.<br />

A-131<br />

Rapid and Simultaneous Genotyping <strong>of</strong> HPV During Routine<br />

Screening <strong>of</strong> Liquid Cytology Specimens Using <strong>the</strong> Roche cobas ® 4800<br />

H. B. Steinmetz, B. J. Dokus, A. B. Hawk, D. M. Green, V. Vijayalakshmi<br />

Padmanabhan, E. J. Gutmann, J. D. Marotti, X. Liu, J. A. Lefferts, L. J. Tafe,<br />

G. J. Tsongalis. Geisel School <strong>of</strong> Medicine at Dartmouth and Dartmouth-<br />

Hitchcock Medical Center, Lebanon, NH<br />

Background: Persistent infection with human papillomavirus (HPV) is implicated<br />

in <strong>the</strong> pathogenesis <strong>of</strong> cervical cancer and <strong>the</strong> presence <strong>of</strong> HPV can be detected in<br />

almost all <strong>of</strong> <strong>the</strong>se cases. There are approximately 40 different types <strong>of</strong> HPV that<br />

can infect humans and 14 <strong>of</strong> <strong>the</strong>se are considered high-risk for <strong>the</strong> development <strong>of</strong><br />

cervical cancer and its precursor lesions. Routine testing for high risk HPV DNA is<br />

now <strong>the</strong> standard <strong>of</strong> care in <strong>the</strong> United States. The Roche cobas® 4800 HPV test is<br />

an automated platform that has been cleared by <strong>the</strong> FDA for <strong>the</strong> detection <strong>of</strong> high risk<br />

HPV infection in PreservCyt® cytology specimens. This test screens for high risk<br />

HPV and simultaneously provides genotyping data for HPV 16, HPV 18 or “o<strong>the</strong>r”<br />

high risk HPV types. As genotyping results may impact clinical care, we describe<br />

<strong>the</strong> frequency <strong>of</strong> high risk HPV detected by this new assay in a routine screening<br />

environment.<br />

Methods: We screened 834 cytology ThinPrep Preservcyt samples from January<br />

to February 2012 for <strong>the</strong> presence <strong>of</strong> HPV DNA and simultaneously genotyped for<br />

HPV16, HPV18, and “o<strong>the</strong>r” high risk HPV. Acrometrix HPV High Risk Positive<br />

Controls were used to verify <strong>the</strong> detection <strong>of</strong> <strong>the</strong>se genotypes. Cytology samples were<br />

processed on <strong>the</strong> ThinPrep3000 processor using standard protocols. All samples were<br />

<strong>the</strong>n tested with <strong>the</strong> Roche cobas® HPV assay.<br />

Results: Of <strong>the</strong> 834 samples screened, 113 (13.5%) were positive for <strong>the</strong> presence<br />

<strong>of</strong> HPV DNA. Of <strong>the</strong>se positive samples, seventeen were genotyped as HPV 16,<br />

twelve as HPV18 and eighty four as “o<strong>the</strong>r” high risk types. The results <strong>of</strong> ten samples<br />

suggested co-infection with multiple HPV types (four had o<strong>the</strong>r High Risk HPV +<br />

HPV18 , five had o<strong>the</strong>r High Risk HPV + HPV16, and one sample had HPV16 + HPV<br />

18). Appropriate assay controls, which included both positive and negative controls,<br />

were included in each run and gave <strong>the</strong> expected results. None <strong>of</strong> <strong>the</strong> samples required<br />

repeat testing.<br />

Conclusions: High risk HPV testing by molecular techniques is an important tool in<br />

<strong>the</strong> diagnostic algorithm <strong>of</strong> cervical epi<strong>the</strong>lial lesions. Our data confirm <strong>the</strong> presence<br />

<strong>of</strong> high risk HPV types including <strong>the</strong> significant presence <strong>of</strong> high risk HPV types o<strong>the</strong>r<br />

than types 16 and 18, in our patient population.<br />

A36 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Nutrition/Trace Metals/Vitamins<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Nutrition/Trace Metals/Vitamins<br />

A-132<br />

Vitamin D Status in Bulgarian Patients with Chronic Hepatitis C Virus<br />

Infection<br />

D. Gerova 1 , B. Galunska 1 , I. Ivanova 1 , I. Kotzev 1 , T. Tchervenkov 1 , S.<br />

Balev 1 , D. Svinarov 2 . 1 Medical University, Varna, Bulgaria, 2 Medical<br />

University, S<strong>of</strong>ia, Bulgaria<br />

Background: Vitamin D status is <strong>of</strong> significant importance for improving human<br />

health, and for prevention <strong>of</strong> many diseases. Hepatitis C virus (HCV) infection<br />

is a major global health challenge affecting over 3 million people worldwide.<br />

Epidemiological studies provided evidence that vitamin D deficiency may confer<br />

increased risk <strong>of</strong> viral infections, including HCV infection. The main objective <strong>of</strong><br />

this retrospective study was to determine <strong>the</strong> prevalence <strong>of</strong> vitamin D deficiency and<br />

insufficiency in Bulgarian patients with HCV infection, and to assess its relationship<br />

to <strong>the</strong> severity <strong>of</strong> liver disease and response to interferon-based <strong>the</strong>rapy.<br />

Methods: Study encompassed 296 patients with proven HCV infection who<br />

consented to participate: 161 males (54.4%) aged 42.08±14.87 (range 18-82) years,<br />

and 135 females (45.6%) aged 45.72±14.34 (range 18-72) years; frequency <strong>of</strong> <strong>the</strong><br />

different HCV genotypes was 87.3% for GT1, 0.5% for GT2, 11.7% for GT3 and<br />

0.5% for GT4. Determination <strong>of</strong> 25-hydroxyvitamin-D (25OHD, sum <strong>of</strong> 25OHD 3<br />

and 25OHD 2<br />

) was performed by a validated ID-LC-MS/MS method (d 3<br />

25D 3<br />

utilized as internal standard), with accuracy and precision within 7.5%; extraction<br />

recoveries averaging 57-73%; linearity range 3.0-300.0 nmol/L, (R2>0.99). Patient<br />

demographics, HCV-genotype, viral load (quantitative real-time reverse-transcription<br />

PCR), histological grade and stage (according <strong>the</strong> METAVIR classification), AST<br />

levels, treatment, and treatment outcomes, were assessed with respect to vitamin D<br />

status. For statistical analysis, means±SD were determined, and an unpaired t-test<br />

with Welch’s correction for comparison <strong>of</strong> means <strong>of</strong> different parameters was used,<br />

with level <strong>of</strong> significance set at p80nmol/L). Seasonal difference in vitamin D status was significant:<br />

37.60±1.7 (from November to April) vs 70.55±2.4 (from May to October), p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Nutrition/Trace Metals/Vitamins<br />

Conclusion: The Siemens ADVIA Centaur Vitamin D Total assay standardized to <strong>the</strong><br />

VDSP should be a valuable tool in clinical laboratories for <strong>the</strong> accurate measurement<br />

<strong>of</strong> vitamin D sufficiency in human sera.<br />

* The ADVIA Centaur Vitamin D Total assay standardized to <strong>the</strong> VDSP is in<br />

development and is not available for sale.<br />

A-137<br />

Comparison <strong>of</strong> a novel microbiological assay with standard HPLC<br />

determination <strong>of</strong> vitamin B6 in plasma<br />

S. M. Loitsch 1 , K. Reuter 1 , G. Oremek 2 , J. Stein 3 , T. Dschietzig 4 . 1 Institute <strong>of</strong><br />

Pharmaceutical Chemistry, University <strong>of</strong> Frankfurt, Frankfurt, Germany,<br />

2<br />

University Hospital Frankfurt, Central Laboratory, Frankfurt, Germany,<br />

3<br />

Crohn-Colitis Centre Rhein-Main, Frankfurt, Germany, 4 Immundiagnostik<br />

AG, Berlin, Germany<br />

Background: Higher plasma homocysteine is associated with a higher cardiovascular<br />

risk. Apart from renal insufficiency, deficiencies <strong>of</strong> vitamins B6, B12, and<br />

folic acid pose <strong>the</strong> most common causes <strong>of</strong> moderately elevated homocysteine.<br />

We have developed novel, micro-titre plate-based turbidimetric kits (ID-Vit R ) to<br />

determine biologically active B6, B12 and folic acid by measuring bacterial growth<br />

in factor-deficient media.<br />

Methods: The novel ID-Vit R microbiological assay for determination <strong>of</strong> vitamin B6<br />

in human plasma uses micro-titre plates pre-coated with lyophilized Saccharomyces<br />

cerevisiae thus avoiding numerous problems associated with <strong>the</strong> maintenance<br />

and use <strong>of</strong> stock cultures. It was compared here with a high-performance liquid<br />

chromatographic (HPLC) assay. In 170 healthy individuals and in 68 patients with<br />

coronary artery disease (CAD, 37 patients with acute coronary syndrome [ACS], 31<br />

with stable CAD), data obtained using <strong>the</strong> HPLC gold standard method were compared<br />

with <strong>the</strong> ID-Vit R results. Intra-assay and inter-assay coefficients <strong>of</strong> variation were<br />

evaluated; regression and Bland-Altman analyses were performed. Homocysteine in<br />

CAD patients was measured by HPLC.<br />

Results: The new microbiological assay correlates well with <strong>the</strong> HPLC assay (r =<br />

0.89; p1.5 mg/dl. Nei<strong>the</strong>r HPLC nor ID-Vit R values for<br />

B6 correlated with homocysteine levels.<br />

Conclusion: The microbiological assay with pre-coated plates and <strong>the</strong> HPLC<br />

standard assay are in good agreement. The new assay can easily be automated and is<br />

less laborious than common microbiological assays. The lack <strong>of</strong> correlation between<br />

B6 vitamin and homocysteine can be accounted for by <strong>the</strong> fact that homocysteine<br />

in our CAD patients was in <strong>the</strong> high-normal range and that a relevant percentage <strong>of</strong><br />

patients had impaired renal function.<br />

A-138<br />

Absence <strong>of</strong> association between serum folate and <strong>the</strong> development <strong>of</strong><br />

preeclampsia in women exposed to folic acid supplementation and food<br />

fortification<br />

S. Thériault 1 , Y. Giguère 1 , J. Massé 2 , S. B. Lavoie 3 , J. Girouard 2 , E. Bujold 2 ,<br />

J. Forest 1 . 1 CHU de Québec Research Center, Québec, QC, Canada, 2 CHU<br />

de Québec, Québec, QC, Canada, 3 CHU Sainte-Justine, Montréal, QC,<br />

Canada<br />

Background: Folic acid supplementation was recently proposed as a possible means<br />

to reduce <strong>the</strong> risk <strong>of</strong> preeclampsia (PE). This study aims to determine if serum<br />

folate concentration early in pregnancy is associated with hypertensive disorders <strong>of</strong><br />

pregnancy (HDP) in a population exposed to folic acid supplementation and food<br />

fortification.<br />

Methods: This is a nested case-control study, based on a prospective cohort <strong>of</strong> 7,929<br />

pregnant women recruited between 2005 and 2010 in <strong>the</strong> Quebec City metropolitan<br />

area, including 214 participants who developed HDP and 428 controls matched for<br />

parity, multiple pregnancy, smoking status, gestational and maternal age at inclusion<br />

and duration <strong>of</strong> blood samples storage. Diagnosis <strong>of</strong> HDP was made according to <strong>the</strong><br />

Society <strong>of</strong> Obstetricians and Gynaecologists <strong>of</strong> Canada classification. Serum folate<br />

levels were measured before 20 weeks <strong>of</strong> gestation with an electrochemiluminescence<br />

assay on an Elecsys 2010 system (Roche Diagnostics).<br />

Results: More than 98% <strong>of</strong> <strong>the</strong> participants took folic acid supplements in a timeframe<br />

ranging from before pregnancy to <strong>the</strong> end <strong>of</strong> <strong>the</strong> first trimester. Mean serum folate<br />

levels were accordingly high and <strong>the</strong>re were no differences between women who<br />

fur<strong>the</strong>r developed HDP compared to <strong>the</strong>ir controls (60.1 nmol/L vs 57.9 nmol/L;<br />

p=0.51). No differences were observed in any <strong>of</strong> <strong>the</strong> subgroups (Table 1). The<br />

proportions <strong>of</strong> participants with serum folate below <strong>the</strong> 10 th percentile (< 21.1 nmol/L)<br />

<strong>of</strong> our local nonpregnant population were similar between groups and no participant<br />

had levels generally defined as folate deficiency (< 10 nmol/L).<br />

Conclusion: In an unbiased cohort <strong>of</strong> pregnant women benefiting from a national<br />

policy <strong>of</strong> folic acid food fortification combined with a high adherence to folic acid<br />

supplementation, serum folate levels are high and do not differ between women who<br />

develop HDP and women who remain normotensive. Fur<strong>the</strong>r supplementation with<br />

higher doses is unlikely to be beneficial in such populations.<br />

Table 1: Serum folate levels in women with hypertensive disorders <strong>of</strong> pregnancy and <strong>the</strong>ir<br />

controls<br />

GH Ctl GH mPE Ctl mPE sPE Ctl sPE HDP Ctl<br />

n 77 154 69 138 68 136 214 428<br />

Mean (nmol/L) 60.7 55.5 63.8 62.7 55.7 55.9 60.1 57.9<br />

SD (nmol/L) 42.5 37.2 44.3 40.3 43.2 36.9 43.2 38.2<br />

Median (nmol/L) 44.7 43.9 47.8 45.6 42.4 42.4 44.6 44.2<br />

IQ (nmol/L) 32.9 33.5 25.6 36.8 17.4 23.7 26.5 29.7<br />

Folate ≤ 10th percentile (21.1<br />

1.3 4.5 1.4 1.4 5.9 3.7 2.8 3.3<br />

nmol/L)(%)<br />

Ctl: Control group; GH: gestational hypertension; mPE: mild preeclampsia; sPE: severe<br />

preeclampsia; HDP: hypertensive disorder <strong>of</strong> pregnancy; SD: standard deviation; IQ:<br />

interquartile range.<br />

No significant differences between <strong>the</strong> means (p > 0.05)<br />

A-139<br />

Intrinsic Factor Blocking Antibody Interference Is Not Detected In<br />

Five Automated Cobalamin Immunoassays<br />

S. Merrigan 1 , D. Yang 2 , J. A. Straseski 1 . 1 ARUP Laboratories, Salt Lake<br />

City, UT, 2 University <strong>of</strong> Wisconsin School <strong>of</strong> Medicine, Madison, WI<br />

Background: Several authors have recently reported falsely normal cobalamin<br />

(vitamin B 12<br />

) results in patients diagnosed with pernicious anemia. Interference <strong>of</strong><br />

native intrinsic factor blocking antibody (IFBA) with automated immunoassays has<br />

been proposed as a cause <strong>of</strong> <strong>the</strong>se falsely elevated results. Interference with cobalamin<br />

results is a concern, since almost 70% <strong>of</strong> pernicious anemia patients test positive for<br />

IFBA.<br />

Objective: In light <strong>of</strong> a recent voluntary vendor recall <strong>of</strong> cobalamin reagent due<br />

to IFBA interference, our objective was to investigate five additional automated<br />

cobalamin immunoassays to determine if <strong>the</strong>y were similarly affected.<br />

Methods: We created six human serum pools with high (>911 pg/mL [>672 pmol/L]),<br />

normal (210-911 pg/mL [155-672 pmol/L]), or low (


Nutrition/Trace Metals/Vitamins<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Conclusions: In summary, <strong>of</strong> five automated cobalamin assays evaluated, none<br />

showed a significant decrease in cobalamin concentration after immunoglobulin<br />

precipitation by PEG. This was illustrated in serum pools, regardless <strong>of</strong> cobalamin<br />

concentration, and in a previously spurious patient sample. These results suggest that<br />

<strong>the</strong>se five automated cobalamin assays do not cross-react with IFBA. While all results<br />

should be corroborated with clinical signs and symptoms, laboratories may use this<br />

information to monitor clinical assay performance.<br />

A-140<br />

Simple and Rapid assay for Simultaneous determination <strong>of</strong><br />

serum chromium and cobalt by inductively coupled plasma-mass<br />

spectrometry<br />

H. Choi 1 , S. Lim 2 , Y. Park 2 , S. Lee 3 . 1 Departments <strong>of</strong> Laboratory Medicine<br />

& Genetics, Samsung Medical Center, Sungkyunkwan University School <strong>of</strong><br />

Medicine, Seoul; Chonnam National University Hospital, Gwangju, Korea,<br />

Republic <strong>of</strong>, 2 Department <strong>of</strong> Orthopedic Surgery, Samsung Medical Center,<br />

Sungkyunkwan University School <strong>of</strong> Medicine, Seoul, Korea, Republic<br />

<strong>of</strong>, 3 Departments <strong>of</strong> Laboratory Medicine & Genetics, Samsung Medical<br />

Center, Sungkyunkwan University School <strong>of</strong> Medicine, Seoul, Korea,<br />

Republic <strong>of</strong><br />

Background: Trace element analysis has been used for evaluation <strong>of</strong> toxicity<br />

in environmental contamination and occupational exposure, and deficiency <strong>of</strong><br />

essential elements in nutritional status. Recently, Cr and Co metal ions are known<br />

to be associated with surface corrosion and wear particles <strong>of</strong> implants in patients<br />

with hip resurfacing pros<strong>the</strong>sis. These metal ions may serve as an indicator <strong>of</strong> <strong>the</strong> in<br />

vivo performance <strong>of</strong> MoM bearing surfaces. However, <strong>the</strong>re are few reports about<br />

validation <strong>of</strong> <strong>the</strong> assay for simultaneous measurement <strong>of</strong> serum Cr and Co levels for<br />

Asian population. The aim <strong>of</strong> this study was to develop rapid and sensitive assay for<br />

simultaneous measurement <strong>of</strong> serum Cr and Co using inductively coupled plasmamass<br />

spectrometry (ICP-MS) in clinical laboratory practice, and to evaluate <strong>the</strong><br />

analytical performance and clinical usefulness <strong>of</strong> this assay.<br />

Methods: We evaluated <strong>the</strong> linearity, accuracy, precision and lower limit <strong>of</strong><br />

quantification (LLOQ) <strong>of</strong> an ICP-MS method (Agilent 7500CE ICP-MS, Agilent<br />

Technologies, Japan) to determine serum Cr and Co concentration in accordance<br />

with <strong>the</strong> FDA guidelines for bioanalytical method validation. This method was<br />

used to determine serum Cr and Co levels <strong>of</strong> 185samples from 74 patients after hip<br />

resurfacing arthroplasty (HRA) and compare that <strong>of</strong> 51 healthy controls.<br />

Results: This ICP-MS method for serum Cr and Co levels showed good linearity<br />

(linearity range, 0-20 μg/L, 0-20 μg/L; linear regression coefficient, r 2 > 0.999, r 2<br />

> 0.999, respectively). Accuracy was satisfactory for all tested concentrations <strong>of</strong> Cr<br />

and Co (%bias, -1.5 ~ 2.5%, -3.3 ~ 1.6%, respectively). The intra- and inter-assay<br />

coefficient <strong>of</strong> variations (CV) for both metal ions did not exceed <strong>the</strong> limit <strong>of</strong> 10% for<br />

LLOQ (0.02 μg/L <strong>of</strong> Cr, 0.01 μg/L <strong>of</strong> Co, respectively) and were within 5% for <strong>the</strong><br />

o<strong>the</strong>r concentrations (intra- and inter-assay CV, 1.2 ~ 2.6 and 1.9 ~ 4.4% <strong>of</strong> Cr; 1.4<br />

~ 2.7 and 1.9 ~ 4.7% <strong>of</strong> Co). The serum Cr and Co concentrations (mean±SD) were<br />

0.60±0.12 μg/L and 0.29±0.15 μg/L in 51 healthy subjects. In 185 serum samples<br />

from 74 orthopedic patients (median duration implanted, 36 months; range, 1-140<br />

months), <strong>the</strong> median concentration <strong>of</strong> serum Cr and Co were 2.6μg/L (0.3 ~ 116.8)<br />

and 1.4μg/L (0.1 ~ 127.8), respectively. The levels <strong>of</strong> Cr and Co in patient group was<br />

significantly higher than <strong>the</strong> levels in healthy controls (Mann-Whitney test, p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Nutrition/Trace Metals/Vitamins<br />

used with a 4x3.0mm SecurityGuard ULTRA C18 cartridge. HPLC mobile phase A<br />

was 0.1% formic acid in DI water; B was acetonitrile. Flow rate was 0.8mL/minute<br />

with a 7-minute step program. The signal was detected with a UV detector.<br />

Results: Optimal response <strong>of</strong> vitamin C was observed when UV wavelength was<br />

set at 245nm. Using an easy LC/MS/MS compatible mobile phase, vitamin C was<br />

well retained at ±2.7-minute and baseline-to-baseline separated with great resolutions<br />

using <strong>the</strong> Kinetex 5μm XB-C18 column. Meta-phosphoric acid was <strong>the</strong> most effective<br />

protein precipitant. Vitamin C samples extracted with 5% meta-phosphoric acid were<br />

stable on a cooled autosampler for at least 48-hour. Protein precipitation with <strong>the</strong><br />

Impact plate is simple and can be easily automated. Three levels <strong>of</strong> plasma quality<br />

control samples were prepared at 1, 10 and 35μg/mL. The percentage <strong>of</strong> coefficients<br />

<strong>of</strong> variation for <strong>the</strong> intra-assay precision were 1.74% to 3.16% (n=12) and for <strong>the</strong><br />

inter-assay precision were 1.80% to 4.82% (n=6). The mean recovery was 98.2%<br />

with CV=4.8% (n=7). The calibration curve was linear in <strong>the</strong> whole range tested <strong>of</strong><br />

0-100μg/mL (R2=0.9999). LOD was 0.78μg/mL and LOQ was 1.56μg/mL There<br />

were no inferences with uric acid which has a similar structure to vitamin C.<br />

Conclusion: A simple HPLC-UV method with high-throughput protein precipitation<br />

is established for accurate and reproducible quantitation <strong>of</strong> human plasma vitamin C.<br />

A-144<br />

Evaluation <strong>of</strong> Frequency <strong>of</strong> Vitamin D Deficiency in a cohort <strong>of</strong> 9058<br />

women aged more than 60 years<br />

L. F. A. Nery 1 , G. R. Martins 1 , C. M. Araújo 1 , S. S. S. Costa 1 , L. A. Naves 2 .<br />

1<br />

Laboratório Sabin, BRASILIA, Brazil, 2 Endocrine Unit, University <strong>of</strong><br />

Brasilia; Laboratório Sabin, BRASILIA, Brazil<br />

BACKGROUND: Falls and high risk <strong>of</strong> bone fractures are important health problems<br />

in elderly people. The frequency and impact <strong>of</strong> 25-OH-vitamin D deficiency in <strong>the</strong>se<br />

patients is unknown in tropical and sunny countries.<br />

OBJECTIVE: The objective is to determine <strong>the</strong> frequency <strong>of</strong> vitamin D insufficiency<br />

and deficiency in elderly women over 60 years living in <strong>the</strong> central region <strong>of</strong> Brazil.<br />

SUBJECTS AND METHODS: This is a retrospective study. A total <strong>of</strong> 9058 patients<br />

were selected from a clinical laboratory cohort, referred by clinicians to <strong>the</strong> laboratory<br />

to measure 25 OH vitamin D (chemiluminescence- Diasorin) in a period comprised<br />

between January 2012 and January <strong>2013</strong>. All patients that received calcium or<br />

vitamin D supplementation in <strong>the</strong> last 3 months were excluded. Comparion between<br />

frequencies was analyzed by Fisher Test.<br />

RESULTS: The patients were divided in three groups, according to age, in group 1<br />

61-70 years old, Group B 71-80 years old, group 3 > 81 years old... Patients with 25<br />

OH Vitamin D < 20 ng/ml were considered deficient, and patients with 25 OH Vitamin<br />

D < 30 ng/ml were considered insufficient, and levels> 30 ng/ml were considered<br />

normal. Vitamin D deficiency was observed in 31%, 42% and 50%<strong>of</strong> groups 1, 2, 3<br />

respectively. Patients presented vitamin D 21-30 ng/ml respectively in 46%, 37%, and<br />

31% <strong>of</strong> patients from groups 1, 2, 3. The difference was not statistically significant in<br />

<strong>the</strong> subgroup analysis concerning vitamin D insufficiency (p=0.19)<br />

CONCLUSIONS: The results suggest that deficiency and insufficiency <strong>of</strong> vitamin<br />

D is very frequent in elderly women in our region, although <strong>the</strong> recommendation<br />

to provide supplements, and increase <strong>the</strong> sun exposure consists in a strategy to be<br />

considered with o<strong>the</strong>r factors by <strong>the</strong> clinicians.<br />

A-145<br />

Determination <strong>of</strong> Frequency <strong>of</strong> Vitamine D deficiency in Acromegalic<br />

patients compared to control healthy subjects<br />

P. S. Barbosa 1 , L. F. A. Nery 2 , D. H. Barros 1 , C. M. Araújo 2 , G. S. Mota 1 ,<br />

S. S. S. Costa 2 , L. A. Naves 3 . 1 Endocrine Unit, University <strong>of</strong> Brasilia,<br />

BRASILIA, Brazil, 2 Laboratório Sabin, BRASILIA, Brazil, 3 Endocrine<br />

Unit, University <strong>of</strong> Brasilia; Laboratório Sabin, BRASILIA, Brazil<br />

Acromegaly is a rare endocrine disorder, related to hypersecretion <strong>of</strong> growth hormone<br />

(GH) and insulin like growth fator-1 (IGF-1), with important effects on bone and<br />

articular diseases. These tissues are very sensitive to calcium metabolism, and <strong>the</strong><br />

role <strong>of</strong> PTH, and vitamin D on osteoarthicular disorders is not clear. Recent studies<br />

suggested that rises on IGF-1 can influence 25 (OH) vitamine D plasma levels.<br />

Objective: Evaluate <strong>the</strong> relation between activity <strong>of</strong> Acromegaly and calcium<br />

metabolism. Subjects and Methods: We recruited 35 patients with active acromegaly,<br />

recruited from neuroendocrine outpatient clinics <strong>of</strong> Hospital <strong>of</strong> University <strong>of</strong> Brasilia.<br />

They were submitted to venopunction, and blood samples were collected to evaluate<br />

25OHD (chemiluminescence, Diasorin), Calcium, PTH 1,25 (OH) vitamine D GH<br />

and IGF-1 (chemiluminescence, Immulite). The data was compared to a control group<br />

<strong>of</strong> 200 healthy subjects paired for age and gender. Results: The mean age was 49 +<br />

12 years, 48.5% were men. Most <strong>of</strong> patients presented elevated IGF-1 levels, and<br />

upper limit normal variation was 143.0±86.5 % (36.4-450.5). PTH was 52.5±27.1<br />

(19.2-137), Calcium 9.2±0.46 (7.7-10.2), 25(OH) vitamine D 22.9±11.7 (8.8-34.6).<br />

Vitamine D< 30 ng/ml was observed in 82,8% <strong>of</strong> Acromegalic patients, and 76%<br />

<strong>of</strong> healthy subjects. 25(OH) vitamine D < 20ng/ml, was observed in 54.2% <strong>of</strong><br />

Acromegalic patients, compared to 32.1% <strong>of</strong> control patients (p 30 ng/ml. Discussion and Conclusion: The frequency <strong>of</strong><br />

vitamine D deficiency in Acromegalic patients was high, but no association was found<br />

with IGF-1 levels and type <strong>of</strong> treatment. O<strong>the</strong>r studies have to be done to determinate<br />

<strong>the</strong> impact <strong>of</strong> vitamine D deficiency on acromegalic os<strong>the</strong>oarthicular disease.<br />

A-146<br />

Frequent Vitamin D Test Ordering is Associated with Improvement <strong>of</strong><br />

Vitamin D Status in Deficient Patients Only<br />

H. Signorelli (Mack) 1 , J. Reedy 2 , T. Urenda 2 , K. Nakatsu 2 , G. S. Bodor 2 .<br />

1<br />

University <strong>of</strong> Colorado, Denver, CO, 2 VA Medical Center, Denver, CO<br />

Objective: Vitamin D testing volume has increased worldwide but it is unknown<br />

if frequent 25-hydroxy vitamin D (OHD) testing improves patients’ vitamin status,<br />

<strong>the</strong>refore we investigated <strong>the</strong> relationship <strong>of</strong> patients’ OHD status and <strong>the</strong> number <strong>of</strong><br />

OHD test orders over a long period <strong>of</strong> time.<br />

Methods: 32 months’ worth <strong>of</strong> OHD test results, collection date and patients’<br />

demographics were obtained from <strong>the</strong> LIS. Serum 25(OH) vitamin-D2 and -D3<br />

(OHD2, OHD3, respectively) were measured by an in-house LC-MS/MS assay,<br />

calibrated to <strong>the</strong> NIST SRM 2972 standard. Total OHD was reported as <strong>the</strong> sum <strong>of</strong><br />

OHD2 and OHD3. Assay AMR were 6-200 and 4-200 ng/mL for OHD2 and OHD3,<br />

respectively. Assay CVs were 1 year later. Slight improvement was seen in<br />

<strong>the</strong> OHD status <strong>of</strong> <strong>the</strong> patient group initially categorized as insufficient. They received<br />

2.7 follow up tests (average) during <strong>the</strong> study period and ~50% <strong>of</strong> <strong>the</strong>m became OHD<br />

sufficient 31 days or more after <strong>the</strong> initial assessment. Initially sufficient patients<br />

received an average <strong>of</strong> 3.5 tests following <strong>the</strong> initial measurement but 39% and 5% <strong>of</strong><br />

<strong>the</strong>m became insufficient and deficient, respectively, regardless.<br />

Conclusion: Repeat OHD testing does not appear to significantly improve vitamin D<br />

status in a large population, except, possibly, in those patients who had been found<br />

insufficient at initial observation. Our data does not support frequently repeated OHD<br />

testing in <strong>the</strong> general population.<br />

A40 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Nutrition/Trace Metals/Vitamins<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-147<br />

Performance Evaluation <strong>of</strong> <strong>the</strong> ROCHE E 170 for <strong>the</strong> Determination<br />

<strong>of</strong> Total 25 OH Vitamin D: The challenge continues!<br />

R. Khoury, A. Gandhi, B. P. Salmon, A. Patel, P. Gudaitis, D. Gudaitis.<br />

Aculabs, Inc., East Brunswick, NJ<br />

Background: Vitamin D measurement is one <strong>of</strong> <strong>the</strong> fastest growing tests in past few<br />

years with increase in ordering it by more than 100 folds. The increase is due primarily<br />

to increase in awareness <strong>of</strong> <strong>the</strong> relationship between vitamin D levels and cancer,<br />

diabetes, autoimmune disorders. Measuring vitamin D is becoming a challenge for <strong>the</strong><br />

laboratories with <strong>the</strong> availability <strong>of</strong> <strong>the</strong> assay on many automated analyzers without<br />

having a universal standard.<br />

Methodology: The Roche assay is a competitive immunoassay with 27 minutes<br />

duration; <strong>the</strong> sample is incubated with pretreatment reagents, bound vitamin D (25-<br />

OH) is released from <strong>the</strong> vitamin D binding protein. Pretreated sample is incubated<br />

with <strong>the</strong> ru<strong>the</strong>nium labeled vitamin D binding protein, a complex between <strong>the</strong> vitamin<br />

D (25-OH) and <strong>the</strong> ru<strong>the</strong>nylated vitamin D binding protein is formed. After addition<br />

<strong>of</strong> streptavidin-coated microparticles and vitamin D (25-OH) labeled with biotin,<br />

unbound ru<strong>the</strong>nium labeled vitamin D binding proteins become occupied. A complex<br />

consisting <strong>of</strong> <strong>the</strong> ru<strong>the</strong>nylated vitamin D binding protein and <strong>the</strong> biotinylated vitamin<br />

D (25-OH) is formed and becomes bound to <strong>the</strong> solid phase via interaction <strong>of</strong> biotin<br />

and streptavidin. The reaction mixture is aspirated into <strong>the</strong> measuring cell where <strong>the</strong><br />

microparticles are magnetically captured onto <strong>the</strong> surface <strong>of</strong> <strong>the</strong> electrode. Unbound<br />

substances are <strong>the</strong>n removed with ProCell/ProCell M. Application <strong>of</strong> a voltage<br />

to <strong>the</strong> electrode <strong>the</strong>n induces chemiluminescent emission which is measured by a<br />

photomultiplier. Results are determined via a calibration curve which is instrumentspecifically<br />

generated by 2-point calibration and a master curve provided via <strong>the</strong><br />

reagent barcode. The assay is fully automated. We evaluated <strong>the</strong> assay sensitivity,<br />

linearity, precision/accuracy (20 replicates), reportable range, and correlation<br />

with Centaur XP assay, discordant samples were sent for verification to 3 different<br />

laboratories using LC/MS-MS method. Statistical analyses were done using Analyseit.<br />

Results: <strong>the</strong> sensitivity was 5.0 ng/mL, within assay coefficient variation were 4.1%<br />

and 4.1% for a concentration <strong>of</strong> 12.0 ng/mL and 28.0 ng/mL respectively. Analytical<br />

range was verified from 5-60 ng/mL. Regression analysis between E 170 and Centaur<br />

XP gave a slope <strong>of</strong> 1.04 and intercept -4.15 for samples


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Nutrition/Trace Metals/Vitamins<br />

not use a single-point Vitamin D level. Certainly <strong>the</strong>se issues have contributed to<br />

discrepancies between <strong>the</strong> Institute <strong>of</strong> Medicine’s recommendations for Vitamin D<br />

supplementation and those <strong>of</strong> health risk assessment researchers.<br />

A-152<br />

Measurement <strong>of</strong> vitamin K1 (phylloquinone) in human serum by<br />

liquid chromatography-tandem mass spectrometry<br />

D. M. Garby, R. DelRosso, L. A. Cheryk. Mayo Medical Laboratories,<br />

Andover, MA<br />

Background: Vitamin K1 or phylloquinone is part <strong>of</strong> a group <strong>of</strong> similar fat soluble<br />

vitamins in which <strong>the</strong> 2-methyl-1,4-naphthoquinone ring is common. Phylloquinone<br />

is found in high amounts in leafy green vegetables and some fruits (avocado,<br />

kiwi). It is a required c<strong>of</strong>actor involved in <strong>the</strong> gamma-carboxylation <strong>of</strong> glutamate<br />

residues <strong>of</strong> several proteins. Most notably, <strong>the</strong> inactive forms <strong>of</strong> <strong>the</strong> coagulation<br />

factors prothrombin (factor II), factors VII, IX, and X and protein S and protein<br />

C are converted to <strong>the</strong>ir active forms by <strong>the</strong> transformation <strong>of</strong> glutamate residues<br />

to gamma-carboxyglutamic acid (Gla). O<strong>the</strong>r proteins such as those involved in<br />

bone metabolism, cell growth and apoptosis also undergo this Gla transformation.<br />

Measurement <strong>of</strong> vitamin K1 (phylloquinone) in serum is a strong indicator <strong>of</strong> dietary<br />

intake and status.<br />

Methods: Deuterated stable isotope phylloquinone-d7 (25 μL) is added to a serum<br />

sample as an internal standard. Protein is precipitated from <strong>the</strong> mixture by <strong>the</strong> addition<br />

<strong>of</strong> ethanol/0.01% butylated hydroxytoluene. The specimen is <strong>the</strong>n centrifuged for<br />

15 minutes at 1750xg. Phylloquinone and internal standard are extracted from <strong>the</strong><br />

resulting supernatant by solid phase extraction using a Strata-X 33μm Polymeric<br />

Reversed Phase 30 mg/3 mL column (Phenomenex, Torrance, CA). Phylloquinone<br />

and internal standard are <strong>the</strong>n separated by liquid chromatography using a Kinetex<br />

2.6μm C18 100x4.6mm column (Phenomenex, Torrance, CA) on a TLX4 high<br />

throughput liquid chromatography (HTLC) system (Thermo Fisher <strong>Scientific</strong>,<br />

Waltham, MA), followed by analysis on a tandem mass spectrometer (API 5000, AB<br />

SCIEX, Foster City, CA) equipped with an electrospray ionization source in positive<br />

mode. Ion transitions monitored in <strong>the</strong> multiple reaction monitoring (MRM) mode<br />

were m/z 451.5 → m/z 187.1 for phylloquinone and m/z 458.5 → m/z 194.2 for<br />

phylloquinone-d7. Calibrators consisted <strong>of</strong> six standard solutions ranging from 0 to<br />

5 ng/mL.<br />

Results: Method performance was assessed using precision, linearity, recovery,<br />

accuracy and specimen stability. Pooled human serum was processed neat, diluted<br />

with phosphate buffered saline (pH=7.4) containing 50 g/L bovine serum albumin<br />

to achieve low analyte concentrations, or fortified with a phylloquinone solution to<br />

achieve elevated analyte concentrations. Intra-run precision (N=20) coefficients <strong>of</strong><br />

variation (CVs) ranged from 1.7% to 2.8%. Inter-run precision (N=25) CVs ranged<br />

from 5.8% to 8.9%. The method demonstrated linearity over <strong>the</strong> assay range (0.025<br />

to 5.0 ng/mL), yielding <strong>the</strong> following equation: observed phylloquinone value =<br />

1.0064*(expected value) + 0.0052, R 2 = 0.9997. Recovery was demonstrated by<br />

mixing serum samples containing high and low analyte concentrations and averaged<br />

99%. Correlations were run (N=60) comparing <strong>the</strong> phylloquinone HPLC method<br />

performed at an external reference laboratory (x) with <strong>the</strong> LC-MS/MS phylloquinone<br />

method performed at Mayo Medical Laboratories (y). Linear regression <strong>of</strong> <strong>the</strong> data<br />

yielded <strong>the</strong> following equation: y = 0.9701x + 0.0051 and a correlation coefficient,<br />

R=0.9980. A stability study demonstrated that specimens are stable at ambient (20ºC<br />

to 25ºC), refrigerated (2ºC to 8ºC), frozen (-15ºC to -30ºC) and ultra frozen (-65ºC to<br />

-90ºC) temperatures for up to 14 days.<br />

Conclusion: This method provides for <strong>the</strong> reliable analysis <strong>of</strong> vitamin K1<br />

(phylloquinone) in human serum.<br />

A-153<br />

Measurement <strong>of</strong> Total 25(OH) Vitamin D using bioMérieux VIDAS :<br />

development <strong>of</strong> a new assay.<br />

E. Moreau, J. Dupret-Carruel, M. Hausmann. Biomérieux, Marcy l’Etoile,<br />

France<br />

Background: an assay for total 25-hydroxy vitamin D [25(OH)D] that measures<br />

both 25(OH)D2 and 25(OH)D3 is being developed by bioMérieux. Vitamin D is a<br />

fat-soluble steroid pro-hormone which deficiency can be associated with rickets,<br />

osteoporosis, secondary hyper-parathyroidism, as well as increasing risk <strong>of</strong> diabetes,<br />

cardiovascular or autoimmune diseases or various forms <strong>of</strong> cancer. Vitamin D is<br />

found mainly in two forms: vitamin D3 (cholecalciferol) syn<strong>the</strong>sized by action <strong>of</strong><br />

solar ultraviolet radiation on <strong>the</strong> skin and vitamin D2 (ergocalciferol) from exogenous<br />

origin only. The main storage form <strong>of</strong> Vitamin D in <strong>the</strong> body is 25(OH)D (calcidiol),<br />

found in high concentrations in serum or plasma, which makes 25(OH)D <strong>the</strong> preferred<br />

analyte for <strong>the</strong> determination <strong>of</strong> vitamin D nutritional status.<br />

Methods: <strong>the</strong> VIDAS 25-OH Vitamin D Total Assay design is based on a 2 step<br />

competitive immunoassay. In a first step, serum or plasma 25(OH)D is dissociated<br />

from its protein carrier <strong>the</strong>n added to alkaline-phosphatase (ALP) conjugated specific<br />

antibody. In a second step, unbound ALP-antibody is <strong>the</strong>n exposed to vitamin D<br />

analog coated-solid phase receptor. Solid phase is <strong>the</strong>n washed and substrate reagent<br />

added to initiate <strong>the</strong> fluorescent reaction. An inverse relationship exists between <strong>the</strong><br />

amount <strong>of</strong> 25(OH) vitamin D in <strong>the</strong> sample and <strong>the</strong> amount <strong>of</strong> relative fluorescence<br />

units detected by <strong>the</strong> system. Precision <strong>of</strong> <strong>the</strong> VIDAS 25-OH Vitamin D Total Assay<br />

was determined across <strong>the</strong> dynamic range using assay controls and serum samples in<br />

a 5 day protocol according to CLSI EP15-A2. Linearity was performed by diluting a<br />

high sample with a low sample and a high sample according to CLSI EP6. Method<br />

comparison to LCMS/MS and o<strong>the</strong>r immunoassays was achieved using >100 serum<br />

specimens spanning <strong>the</strong> VIDAS calibrated range and DEQAS samples. Serums were<br />

tested on multiple batches with each method. Recovery <strong>of</strong> 25(OH)D2 on <strong>the</strong> VIDAS<br />

assay was determined using serum with endogenous 25(OH)D2 (no spiking).<br />

Results: data obtained with <strong>the</strong> VIDAS 25-OH Vitamin D Total Assay demonstrated<br />

a limit <strong>of</strong> detection


Nutrition/Trace Metals/Vitamins<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

6.5-52.9). Fur<strong>the</strong>rmore, 85% and 44% <strong>of</strong> ED arterogenic and 52% and 37% <strong>of</strong> ED<br />

non-arteriogenic have levels <strong>of</strong> vitamin D < 30 ng/mL and < 20 ng/mL, respectively,<br />

that means an insufficiency and deficiency <strong>of</strong> vitamin D, respectively. Our study<br />

shows that, at least in our experimental conditions, <strong>the</strong> levels <strong>of</strong> vitamin D are not<br />

sufficiently different to accurately discern between arteriogenic and non-arteriogenic<br />

patients and that <strong>the</strong> deficiency <strong>of</strong> vitamin D does not characterize only arteriogenic<br />

ED but all ED patients. It is probable that in conjunction with o<strong>the</strong>r risk factors, <strong>the</strong><br />

insufficiency/deficiency <strong>of</strong> vitamin D may be involved in <strong>the</strong> mechanism causing ED.<br />

Conclusion: In conclusion, we hypo<strong>the</strong>size that a level <strong>of</strong> vitamin D > 30 ng/mL<br />

could prevent <strong>the</strong> effect <strong>of</strong> <strong>the</strong> most common risk factors <strong>of</strong> ED like a<strong>the</strong>rosclerosis,<br />

vascular calcification and endo<strong>the</strong>lial dysfunction.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A43


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

A-155<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Mass Spectrometry Applications<br />

Absolute traceable protein quantification methods using isotope<br />

dilution mass spectrometry with three different strategies<br />

J. Jeong, Y. Yim, J. Yim, I. Yoon, H. Lee, S. Kim, S. Kim, Y. Lee, S. Park.<br />

Korea Research Institute <strong>of</strong> Standards and Science, Daejeon, Korea,<br />

Republic <strong>of</strong><br />

Background: Measurement traceability in protein quantification is required to<br />

standardize quantification results irrespective <strong>of</strong> <strong>the</strong> measurement procedure and<br />

laboratory. As no analytical method can yet directly quantify whole proteins to <strong>the</strong><br />

desired level <strong>of</strong> accuracy, proteins are reduced to analyzable entities with certain<br />

stoichiometric values, and which are <strong>the</strong>n analyzed to deduce <strong>the</strong> quantity <strong>of</strong> original<br />

protein. We described absolute traceable methods in three different strategies<br />

based on <strong>the</strong> peptides, amino acids, and specific element as well. All methods used<br />

isotope dilution mass spectrometry to provide traceability to <strong>the</strong> Système d’Unitè<br />

International for quantification <strong>of</strong> human growth hormone as a candidate <strong>of</strong> certified<br />

reference material.<br />

Methods: Purified recombinant human growth hormone (hGH, 22 kDa) was used as a<br />

model protein. Sample purity was confirmed using capillary zone electrophoresis and<br />

HPLC. First, hGH was hydrolyzed by acid hydrolysis with 8 M hydrochloric acid at<br />

130 ℃ for 48 h for amino acid based quantification. Second, two tryptic peptides from<br />

hGH were chosen to determine hGH by tryptic digestion. The target peptides and its<br />

isotope residues were syn<strong>the</strong>sized and value assigned by amino acid analysis. Double<br />

exact matching ID-HPLC-tandem MS was used for amino acid analysis as well as<br />

peptide analysis. Third, hGH, which contains seven sulfur-containing amino acid<br />

residues, was reduced into element level with microwave assisted digestion. Digested<br />

hGH were determined to total amount <strong>of</strong> sulfur using ID-inductively coupled plasma/<br />

MS. The results from three different methods were evaluated by comparison with<br />

each o<strong>the</strong>r.<br />

Results: Each method for protein reducing and analytical conditions was optimized.<br />

The results from four different amino acids showed good agreement within 2% CV,<br />

and also showed excellent intra-day and inter-day precisions <strong>of</strong> < 1.5% CV. The results<br />

from two different peptides agreed with 5% CV with excellent reproducibility (< 2%).<br />

At last, <strong>the</strong> results by sulfur content showed excellent reproducibility within 3% CV.<br />

The hGH contents from three different methods were agreed with 5% bias. Sulfurbased<br />

result showed a little higher value with smaller uncertainty whereas amino<br />

acid-based result showed a lower value, and peptide-based result was in between but<br />

showed a little larger uncertainty (5%).<br />

Conclusion: The concentration <strong>of</strong> <strong>the</strong> hGH was <strong>the</strong>refore determined based upon<br />

<strong>the</strong> concentration <strong>of</strong> tryptic peptides, and <strong>the</strong> concentration <strong>of</strong> hydrolyzate amino<br />

acids, and <strong>the</strong> concentration <strong>of</strong> sulfur as well. Although <strong>the</strong> results were presented<br />

small bias, each method is suitable for <strong>the</strong> accurate quantification <strong>of</strong> hGH, and could<br />

satisfactorily serve as a reference analytical procedure for hGH and o<strong>the</strong>r similar<br />

proteins. Moreover, <strong>the</strong>se three different methods provide an alternative method for<br />

absolute quantification <strong>of</strong> proteins, especially for pure protein standards. Fur<strong>the</strong>r<br />

researches to resolve small discrepancy among <strong>the</strong>m is in progress.<br />

A-156<br />

A Sensitive and Rapid Liquid Chromatography-Tandem Mass<br />

Spectrometry Method for Quantification <strong>of</strong> Lacosamide and Desmethyl<br />

Lacosamide using Lacosamide- 13 C,d3 as Internal Standard<br />

D. A. Payto, S. Wang. Cleveland Clinic, Cleveland, OH<br />

Background: Lacosamide (LCM) is an antiepileptic drug (AED) approved by <strong>the</strong><br />

FDA in October 2008 for <strong>the</strong> adjunctive treatment <strong>of</strong> partial onset seizures. The major<br />

metabolite in human is O-desmethyl lacosamide (ODL). Monitoring LCM and ODL<br />

may help physicians to optimize <strong>the</strong> <strong>the</strong>rapeutic dosing. Though <strong>the</strong>re are published<br />

methods for <strong>the</strong> quantification <strong>of</strong> LCM by ei<strong>the</strong>r liquid chromatography-ultraviolet<br />

(HPLC-UV) or liquid chromatography-tandem mass spectrometry (LC-MS/MS) <strong>the</strong>re<br />

are few that measure both LCM and ODL simultaneously and none uses an isotope<br />

labeled internal standard (IS) for LC-MS/MS methods. Our objective was to develop<br />

and validate a simple, sensitive, and rapid LC-MS/MS assay for <strong>the</strong> quantification <strong>of</strong><br />

LCM and ODL using lacosamide- 13 C,d 3<br />

as IS.<br />

Methods: Serum (25μL) and 150μL IS solution (5μg/mL <strong>of</strong> lacosamide- 13 C,d 3<br />

in<br />

methanol) were vortex mixed and centrifuged. Supernatant (10μL) was mixed with<br />

1000μL <strong>of</strong> 0.1% formic acid in water and 3μL was analyzed on an Accucore C18<br />

column in an LC-MS/MS system. Total chromatographic time was 6.5 minutes. A<br />

quantifier and a qualifier transition were monitored for LCM (quantifier, 251.1→108.0<br />

and qualifier, 251.1→116.1) and ODL (quantifier, 237.1→108.0 and qualifier,<br />

237.1→91.1).<br />

Results: LCM was linear from 0.65 to 44.56 μg/mL with analytical recoveries ranging<br />

from 89.7 to 104.8%, while ODL was linear from 0.76 to 48.84 μg/mL with analytical<br />

recoveries <strong>of</strong> 97.8-122.0%. The total coefficient <strong>of</strong> variation was


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results: Comparing to acidic mobile phase buffers, alkaline buffers resulted in higher<br />

mass spectrometry response, increased chromatographic retention, and better peak<br />

shape for all three analytes. No matrix effects were observed only after turbulent<br />

flow on-line extraction. The lower limit <strong>of</strong> quantification was 0.36, 0.32, and 0.38<br />

ng/mL for nicotine, cotinine, and nornicotine, respectively, while accuracy was 91.6-<br />

117.1%. No significant carryover was observed up to 550 ng/ml <strong>of</strong> cotinine, 48 ng/mL<br />

<strong>of</strong> nicotine, and 48 ng/mL <strong>of</strong> nornicotine. Total coefficient <strong>of</strong> variation was less than<br />

6.5% for <strong>the</strong> analytes at three concentration levels tested. Measurement <strong>of</strong> nicotine<br />

and cotinine was compared with an LC-MS/MS method <strong>of</strong>fered by an independent<br />

lab using 21 leftover patient serum specimens and 20 spiked blank serum samples.<br />

For nicotine, Deming regression showed a slope <strong>of</strong> 0.914, an intercept <strong>of</strong> -0.2 ng/<br />

mL, and a correlation coefficient <strong>of</strong> 0.9941 with a mean difference <strong>of</strong> 8.9%. For<br />

cotinine, Deming regression rendered a slope <strong>of</strong> 1.089, an intercept <strong>of</strong> 1.8 ng/mL, and<br />

a correlation coefficient <strong>of</strong> 0.9964 with a mean difference <strong>of</strong> -6.8%. No comparison<br />

was performed for nornicotine due to <strong>the</strong> lack <strong>of</strong> a commercial test.<br />

Conclusion: The newly developed LC-MS/MS method was simple, fast, sensitive,<br />

and accurate. It was validated to measure nicotine, cotinine and nornicotine in serum<br />

for monitoring tobacco use.<br />

A-158<br />

Do Deuterium Labeled Internal Standards Correct for Matrix Effects<br />

in LC-MS/MS Assays? A Case Study Using Plasma Free Metanephrine<br />

and Normetanephrine.<br />

D. R. Bunch 1 , J. Gabler 2 , J. M. El-Khoury 1 , S. Wang 1 . 1 Cleveland Clinic,<br />

Cleveland, OH, 2 ThermoFisher Scientifi c, Cleveland, OH<br />

BACKGROUND: Matrix effect is a major issue complicating analytical<br />

methodologies for biological matrices by liquid chromatography-mass spectrometry<br />

(LC-MS). It was traditionally believed that deuterium labeled internal standards (d-<br />

IS) correct for matrix-dependent ion suppression or enhancement. However, new<br />

evidence has demonstrated that <strong>the</strong> degrees <strong>of</strong> matrix effects for <strong>the</strong> analyte and its<br />

d-IS may be different. One hypo<strong>the</strong>sis is due to <strong>the</strong> slight difference in <strong>the</strong>ir retention<br />

times. This renders it challenging to select an appropriate alternate matrix for<br />

preparation <strong>of</strong> calibrators, which is particularly important for analyzing endogenous<br />

analytes. In this report, we studied a case <strong>of</strong> uncompensated matrix effects using d-IS<br />

and <strong>the</strong> means to test for an appropriate alternative matrix.<br />

METHODS: The matrix effects <strong>of</strong> plasma free metanephrine and normetanephrine<br />

using <strong>the</strong>ir respective d3-IS were evaluated by a mixing study. The mixing study was<br />

performed by separately mixing three male and three female plasma samples with an<br />

alternate matrix in a 1:1 ratio. The alternate matrix, patient samples, and 1:1 mixed<br />

samples were extracted in triplicate and run by an LC-MS method. The criterion for<br />

passing is <strong>the</strong> measured response ratio (analyte/IS) <strong>of</strong> each 1:1 mixture being within<br />

20% <strong>of</strong> <strong>the</strong> mean response <strong>of</strong> <strong>the</strong> patient and <strong>the</strong> alternate matrix.<br />

RESULTS: There was no retention time difference between <strong>the</strong> d-IS and analytes.<br />

More than 10 total matrices were tested and <strong>the</strong> results for six representative alternate<br />

matrices are listed in <strong>the</strong> table. Most matrices failed <strong>the</strong> test indicating differential<br />

matrix effects for <strong>the</strong> analytes and <strong>the</strong>ir d-IS. The final acceptable alternate matrix for<br />

this assay was 10 mM ammonium phosphate pH 6.5.<br />

CONCLUSION: Matrix effects are not always compensated for by using a d-IS.<br />

However, an acceptable alternate matrix can still be determined by performing mixing<br />

studies <strong>of</strong> alternative matrices with patient samples.<br />

Sample<br />

Alternate Matrix Tested<br />

10mM<br />

Ammonium<br />

Phosphate<br />

pH 6.5<br />

Water 0.1%<br />

Metabisulfite<br />

5%<br />

Albumin<br />

Drug<br />

1% Metabisulfite<br />

Free<br />

Serum<br />

Metanephrine 1 -1.5 -23.2 12.7 1.0 6.5 4.0<br />

2 2.7 24.7 22.8 10.7 3.9 43.8<br />

3 -5.8 -32.2 1.1 447.0 3.6 -9.2<br />

4 -2.8 N/A 12.4 0.4 3.7 -5.3<br />

5 2.9 N/A 59.3 -2.4 45.4 -12.8<br />

6 0.75 N/A 4.6 24.9 46.3 4.7<br />

Normetanephrine 1 -0.4 -20.7 12.1 1.9 -13.9 -11.8<br />

2 3.3 23.2 5.5 6.1 -10.8 -13.6<br />

3 3.1 -30.1 -4.5 6.9 -4.5 -11.0<br />

4 1.2 N/A -1.5 6.9 -14.8 -12.9<br />

5 -1.7 N/A -1.5 15.5 -13.2 -11.7<br />

6 0.9 N/A 17.4 11.4 -10.1 -10.2<br />

A-159<br />

A Simple and Fast Liquid Chromatography - Tandem Mass<br />

Spectrometry Method for <strong>the</strong> Quantification <strong>of</strong> Rapamune and<br />

Everolimus Without <strong>the</strong> Use <strong>of</strong> a Column Heater<br />

D. A. Payto 1 , C. Yuan 1 , J. Gabler 2 , S. Wang 1 . 1 Cleveland Clinic, Cleveland,<br />

OH, 2 Thermo Fisher Scientifi c, West Palm Beach, FL<br />

Background: Rapamune and everolimus are immunosuppressant drugs approved<br />

by Food and Drug Administration for kidney transplantation. Therapeutic drug<br />

monitoring <strong>of</strong> <strong>the</strong>se drugs is recommended due to <strong>the</strong>ir narrow <strong>the</strong>rapeutic windows<br />

and large inter-individual variations. Liquid chromatography-mass spectrometry<br />

(LC-MS) methods <strong>of</strong>fer specific and sensitive results. In most LC-tandem mass<br />

spectrometry (LC-MS/MS) methods available in literature, only one selected reaction<br />

transition is monitored. All published LC-MS/MS methods incorporate <strong>the</strong> use <strong>of</strong> a<br />

column heater to ease <strong>the</strong> elution. The objective <strong>of</strong> this work was to develop a rapid<br />

and robust LC-MS/MS for rapamune and everolimus without <strong>the</strong> use <strong>of</strong> a column<br />

heater.<br />

Methods: Whole blood (100 μL) and an internal standard solution (300μL;<br />

rapamune-d3 at 5ng/mL and everolimus-d4 at 10ng/mL in acetonitrile/0.1 M zinc<br />

sulfate solution 70/30) were vortex mixed and centrifuged. The supernatant (75μL)<br />

was injected for on-line turbulent flow sample clean-up prior to LC-MS/MS analysis<br />

using a reverse phase column maintained at room temperature. Total chromatographic<br />

run time was 3.75 minutes per injection. A quantifier (sum <strong>of</strong> 931.6→882.4 and<br />

931.6→864.4) and qualifier (931.6→814.4) transition were monitored for rapamune.<br />

For everolimus, <strong>the</strong> quantifier was 975.61→908.7 and qualifier was 975.61→926.9.<br />

Ion ratio confirmation was used for peak identification.<br />

Results: No ion suppression was observed for ei<strong>the</strong>r analyte. No carryover was<br />

observed up to a concentration <strong>of</strong> 53.8ng/mL for rapamune and 126.0ng/mL for<br />

everolimus. Analytical measurement range (serial dilution <strong>of</strong> a spiked patient pool),<br />

analytical recovery, and CV (based on CLSI EP10-A3 guidelines) are shown in table<br />

1. Comparison with a previously validated LC-MS/MS method yielded agreeable<br />

results with mean differences <strong>of</strong> 11% for rapamune and -3.6% for everolimus.<br />

Conclusion: This validated LC-MS/MS method <strong>of</strong>fers rapid and robust quantification<br />

<strong>of</strong> rapamune and everolimus without <strong>the</strong> use <strong>of</strong> a column heater. This assay has been<br />

validated for clinical use.<br />

Table 1. Method Validation<br />

Rapamune<br />

Everolimus<br />

Analytical Measurable Range 0.6 - 54.0 ng/mL 0.6 - 60.9 ng/mL<br />

Analytical Recovery (%) 90.0 - 100.1 94.4 - 102.9<br />

Total CV (%) 4.4 - 7.3 2.5 - 6.6<br />

Intra-Assay CV (%) 3.3 - 7.3 2.0 - 6.6<br />

A-160<br />

Development <strong>of</strong> an LC-MS/MS method for <strong>the</strong> quantitation <strong>of</strong> serum<br />

Androsta-4,16,-dien-3-one<br />

X. Yi, E. K. Leung, D. W. Kern, M. K. McClintock, C. C. Lee, K. T. J. Yeo.<br />

The University <strong>of</strong> Chicago, Chicago, IL<br />

Background: The putative human pheromone androstadienone (androsta-4,16,-<br />

dien-3-one) has been shown to modulate psychological, physiological, and hormonal<br />

outcomes including reduced perception <strong>of</strong> pain, increased attention to emotional<br />

stimuli, and modulation <strong>of</strong> cortisol levels, but <strong>the</strong>re is currently no reliable way to<br />

measure its production. The purpose <strong>of</strong> this research study is to develop a method<br />

using liquid chromatography tandem mass spectrometry (LC-MS/MS) for reliably<br />

detecting minute amounts <strong>of</strong> androstadienone in human blood, and to utilize such<br />

a method for future studies to measure individual variation in rates <strong>of</strong> production <strong>of</strong><br />

androstadienone associated with various emotional stimuli.<br />

Methods: Androstadienone standard and androsterone-d2 internal standard (IS) were<br />

purchased from Steraloids, Inc (Newport, RI). 190 μl <strong>of</strong> androstadienone in charcoalstripped<br />

serum was combined with 10μl <strong>of</strong> 200ng/ml IS, and extracted with methyl<br />

t-butyl e<strong>the</strong>r (MTBE). The organic phase was evaporated and <strong>the</strong> dried residues<br />

were derivatized in hydroxylamine hydrochloride (0.7mol/ L, 3:7 methanol/water)<br />

at 70°C for 15min. Androstadienone and IS were detected by electrospray ionization<br />

in positive mode with <strong>the</strong> following transitions: Androstadienone 286>114 and IS<br />

306>133. LC-MS/MS setup consisted <strong>of</strong> a Thermo Accela 600 pump interfaced to<br />

a Thermo TSQ Quantum triple quadrupole mass spectrometer. Chromatographic<br />

separation was performed using a Phenomenex luna 3μ phenyl hexyl column (2.0mm<br />

by 150 mm) and a gradient <strong>of</strong> 0.1 % formic acid and methanol. To evaluate <strong>the</strong><br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A45


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

performance <strong>of</strong> this method, accuracy and precision <strong>of</strong> this method were measured<br />

using 4 points (0.1ng/ml, 0.3ng/ml, 4.0 ng/ml and 8.0ng/ml) on each calibration curve<br />

and <strong>the</strong> reproducibility was measured for 4 subsequent days.<br />

Results: The method described displayed good linearity over a concentration range<br />

<strong>of</strong> 0.1-10ng/ml with r2 >0.995, and measured CVs for calibration standards were less<br />

than 15% across <strong>the</strong> entire concentration. Intra-day and inter-day precision for all<br />

QC levels showed CVs ≤10.96% and ≤10.21%, respectively; <strong>the</strong> inter-day accuracy<br />

(RE%) for QC serum samples were ≤11.0%, all within <strong>the</strong> acceptable limits <strong>of</strong><br />

precision and accuracy ( ≤ 15%). The method was applied to determine <strong>the</strong> plasma<br />

concentration <strong>of</strong> androstadienone in a relatively healthy population (primary care<br />

outpatient population) which showed a preliminary reference range <strong>of</strong> 0.00-1.05 ng/<br />

ml (n=20).<br />

Conclusion: A sensitive LC-MS/MS method was developed for androstadienone in<br />

human serum. The validation study showed <strong>the</strong> method is accurate and reproducible<br />

and can be used for fur<strong>the</strong>r studies <strong>of</strong> changes <strong>of</strong> this pheromone in subjects under<br />

different emotional states.<br />

A-161<br />

High-Throughput determination <strong>of</strong> 25-OH-Vitamin D2 and D3 in<br />

plasma in 9 seconds per sample using LDTD-MS/MS with Differential<br />

Mobility Spectrometer for Isobaric separation<br />

P. Picard, S. Auger, G. Blachon, J. Lacoursiere, A. Birsan. Phytronix<br />

Technologies Inc, Quebec, QC, Canada<br />

Background: The Laser Diode Thermal Desorption (LDTD) ionization source<br />

has been coupled to a mass spectrometer equipped with SelexION differential ion<br />

mobility cell, enabling a high throughput capacity for <strong>the</strong> analysis <strong>of</strong> 25-OH-vitamin<br />

D2 and D3 in biological matrix, with sample-to-sample analysis time <strong>of</strong> 9 seconds.<br />

The endogenous isobaric compounds 7α-OH-cholesten-2-one and 1-α-OH-D3 are<br />

known to interfere with similar MS/MS transition as 25-OH-D3. Thermal desorption<br />

process vaporizes all compounds simultaneously, so isobaric molecules with similar<br />

structure may potentially interfere. Improvement <strong>of</strong> <strong>the</strong> analysis specificity is<br />

achieved by <strong>the</strong> action <strong>of</strong> <strong>the</strong> Differential Ion Mobility Spectrometry. Desorption <strong>of</strong><br />

individual compounds at <strong>the</strong> optimized DMS parameters demonstrates specificity<br />

equivalent to liquid chromatography but at <strong>the</strong> speed <strong>of</strong> electronic separation, in<br />

milliseconds.<br />

Methods: Preparation <strong>of</strong> sample consisted <strong>of</strong> a protein precipitation <strong>of</strong> human<br />

plasma by addition <strong>of</strong> methanol followed by a liquid-liquid extraction with hexane.<br />

5 μL <strong>of</strong> <strong>the</strong> upper layer is deposited in proprietary 96-wells plate and allowed to dry<br />

prior to analysis. Calibration curve is prepared using multilevel calibrator set from<br />

Chromsystem. Additional curve levels are prepared by dilution <strong>of</strong> calibrator with<br />

stripped serum. The mass-spectrometer operates in MRM mode, with transitions<br />

413/337 and 401/355 used for quantification <strong>of</strong> 25-OHD2 and 25-OH-D3 respectively.<br />

Separation voltage applied to <strong>the</strong> DMS cell <strong>of</strong> <strong>the</strong> SelexION is 4400 Volts, and <strong>the</strong><br />

compensation voltage used to isolates <strong>the</strong> two compounds from interferences is 10<br />

Volts<br />

Results: Quantitation curve ranges from 1-65 ng/mL and 1.5-94 ng/mL for 25-OH-<br />

VitaminD3 and D2 respectively. Blank levels are less than 20% <strong>of</strong> <strong>the</strong> LOQ for both<br />

compounds. To assess <strong>the</strong> accuracy and precision, calibration points and QC’s are<br />

analyzed in triplicate. Reproducibility for n=3 is ranging from 0.6 to 12.3%. Calculated<br />

concentrations <strong>of</strong> QC’s are within 15% <strong>of</strong> reported values. Correlation between LC-<br />

MS/MS and LDTD-MS/MS samples is expressed by R2 = 0.952. Multiple tests are<br />

conducted for validation. Matrix effect is evaluated by first measuring <strong>the</strong> original<br />

level <strong>of</strong> 6 different plasma samples and spiking <strong>the</strong>m with a known amount <strong>of</strong> 25-<br />

OH-D3. We observe constant difference between pre-spiked and post-spiked results.<br />

Cross validation <strong>of</strong> <strong>the</strong> method is achieved with samples measured by LC-MS/MS<br />

using an established, and validated, method at <strong>the</strong> Toronto General Hospital. The<br />

passing-Bablok regression revealed no significant deviation from linearity (Cusum<br />

test, P=0.10). Bland and Altman plot shows that <strong>the</strong> mean bias <strong>of</strong> <strong>the</strong> two methods<br />

was -0.885 and all samples are within <strong>the</strong> confidence interval <strong>of</strong> 95%. LDTD-MS/MS<br />

analysis reproducibility on those measurements is ranging from 1.3 to 13.8% (n=3).<br />

Conclusion: LDTD ion source coupled to SelexION DMS achieves specific<br />

analysis <strong>of</strong> 25-OH vitamin D2 and D3 in <strong>the</strong> appropriate concentration ranges.<br />

SelexION DMS increases selectivity and helps in removing isobaric interferences.<br />

LC-MS/MS and LDTD-MS/MS measured values on real samples correlate within<br />

95% confidence interval <strong>of</strong> statistical analysis. LDTD provides <strong>the</strong> High-Throughput<br />

analysis <strong>of</strong> 25-OH vitamin D2 and D3 in 9 seconds sample-to-sample.<br />

A-162<br />

Development <strong>of</strong> A High Performance Liquid Chromatography-Tandem<br />

Mass Spectrometry Method (HPLC-MS/MS) for Pain Management<br />

Testing in Urine<br />

I. Shu, P. Wang. The Methodist Hospital, Houston, TX<br />

Background: There is currently a growing, deadly epidemic <strong>of</strong> prescription pain<br />

killer abuse in <strong>the</strong> United States. A pain management program is necessary to monitor<br />

patient compliance. The objective <strong>of</strong> this project was development <strong>of</strong> an HPLC-MS/<br />

MS assay detecting a total <strong>of</strong> 21 drugs and metabolites in urine.<br />

Methods: The HPLC-MS/MS quantitative assay included 5 glucuronide-conjugated<br />

compounds (morphine-3-glucuronide, morphine-6-glucuronide, oxymorphone-3-<br />

glucuronide, hydromorphone-3-glucuronide [H3G], and codeine-6-glucuronide<br />

[C6G]), and 16 drugs and metabolites. Using Bio-Rad Drug Free Urine, <strong>the</strong> singlepoint<br />

glucuronide calibrator was prepared at 50ng/mL, and all o<strong>the</strong>r drugs (except<br />

fentanyl) were prepared at five levels in a range <strong>of</strong> 20-1000 (fentanyl 1-50) ng/<br />

mL. The calibrators were fur<strong>the</strong>r diluted to 1-10ng/mL to determine lower limit <strong>of</strong><br />

quantitation (LLOQ) tested for three days. Quality controls (QC) were prepared<br />

at levels <strong>of</strong> 25% below and above cut-<strong>of</strong>f values: 250ng/mL for amphetamine/<br />

methamphetamine, 50ng/mL for glucuronides/methadone/EDDP/tramadol, 5ng/mL<br />

for fentanyl, and 100ng/mL for benzoylecgonine and all o<strong>the</strong>r analytes. Accuracy was<br />

tested by recovering three different known levels <strong>of</strong> compounds spiked into three<br />

patient drug-free urine samples with pH range <strong>of</strong> 5.5-7.0 and presence or absence <strong>of</strong><br />

ketones, protein, leukocyte esterase, and blood as determined by iChem® urinalysis.<br />

One hundred microliter <strong>of</strong> urine was diluted by 500 microliter <strong>of</strong> 0.2% formic acid<br />

solution containing 19 internal standards (Cerilliant) at 10ng/mL. The 21 analytes<br />

were separated by Waters XSelect HSS T3 2.1x75mm, 2.5 microm column with a<br />

binary mobile phase (A: 2 mM ammonium formate, 0.2% formic acid in water; B:<br />

10mM ammonium acetate, 0.1% formic acid in methanol) within 13.5 minutes at<br />

a flow rate <strong>of</strong> 0.3 mL/min, eluting to Waters Quattro Micro mass spectrometer with<br />

electrospray ionization in a positive mode. Chromatographic peaks <strong>of</strong> each analyte<br />

were acquired with quantitating and confirmatory ion transitions at cone voltages and<br />

collision energies unique to each compound.<br />

Results: All analytes were linear within <strong>the</strong>ir calibration curves (slope 0.97-1.08,<br />

intercept -1.98-1.89, r 2 >0.950). Coefficient <strong>of</strong> variations (CV) <strong>of</strong> QC within-run<br />

(n=10) and between-run over four days (n=30) were 1.6-14.5%. LLOQ (CV


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Objective: The goal <strong>of</strong> this study was to verify that tryptic peptides could be used to<br />

quantitate Infliximab and to differentiate <strong>the</strong> drug from o<strong>the</strong>r human immunoglobulins<br />

in serum.<br />

Methods: A list <strong>of</strong> tryptic peptides unique to <strong>the</strong> heavy and light chain variable<br />

regions were predicted by in silico digestion <strong>of</strong> Infliximab variable region sequences<br />

found in <strong>the</strong> IMGT database (http://www.imgt.org/3Dstructure-DB). Infliximab<br />

(RemicadeTM, Janssen Biotech, Inc.) was reconstituted to 10 mg/mL in 50<br />

mM ammonium bicarbonate, reduced, alkylated and digested with trypsin (1:20<br />

enzyme:substrate) at 37oC for 4 hours. Digests were analyzed by IDA LC-ESI-Q-<br />

TOFMS; <strong>the</strong> most abundant peptides matching <strong>the</strong> in silico list were chosen for<br />

subsequent studies. Quantitation <strong>of</strong> Infliximab was accomplished using standard SRM<br />

analysis on an ABSciex API 5000 using pooled human serum from healthy controls<br />

or 50 mM ammonium bicarbonate, each spiked with Infliximab. A 9-point standard<br />

curve was generated [blank, 0.25, 0.5, 1, 2, 5, 10, 20 and 50 ug/mL]. A known<br />

concentration <strong>of</strong> purified horse IgG (200 ug/mL) with a unique non-human constant<br />

region peptide was added to each sample as a pre-analytical digestion control along<br />

with stable isotope-labeled peptide internal standards to monitor HPLC retention<br />

times. Samples were processed to remove non-immunoglobulin proteins using <strong>the</strong><br />

Melon Gel purification kit (Pierce, Rockford, IL), followed by trypsin digestion.<br />

Peptides were separated on reverse-phase C18 liquid chromatography (Atlantis T3<br />

3x100 mm) and subjected to MS/MS.<br />

Results: Tryptic peptides unique to Infliximab were identified for both <strong>the</strong> heavy<br />

and light chains and blasted against a human database; no significant cross-matches<br />

were identified. Heavy and light chain peptides were quantitated in buffer with a<br />

coefficient <strong>of</strong> variation (CV) <strong>of</strong> 11% and 5%, respectively, measured by <strong>the</strong> analyte/<br />

horse IgG peak-area ratio at 20 ug/mL Infliximab. Limit <strong>of</strong> detection was 0.25ug/<br />

mL, with a linear dilution response between 100-0.25 ug/mL (R2>0.99) for both<br />

heavy and light chain peptides. After spiking Infliximab into <strong>the</strong> serum matrix,<br />

CVs <strong>of</strong> 20% were obtained for <strong>the</strong> heavy and light chain peptides, with <strong>the</strong> lowest<br />

detectable concentration at 5.0ug/mL. The dilution response was linear from 50-2 ug/<br />

mL (R2>0.99) for both peptides.<br />

Conclusions: While sensitivity and precision merit fur<strong>the</strong>r development and studies<br />

with samples from patients taking Infliximab are warranted, we have demonstrated <strong>the</strong><br />

ability to quantitate Infliximab using variable region peptides by LC-MS/MS in <strong>the</strong><br />

presence <strong>of</strong> o<strong>the</strong>r human immunoglobulins. This analytical approach has <strong>the</strong> potential<br />

to be quickly adaptable to o<strong>the</strong>r drugs in this class and to significantly improve patient<br />

care.<br />

A-164<br />

A Liquid Chromatography Tandem Mass Spectrometry Method<br />

for Measurement <strong>of</strong> Erythrocyte 6-Mercaptopurine Metabolites in<br />

Patients on Thiopurine Therapy<br />

I. Tsilioni, T. Law, J. Dunn, R. W. A. Peake, M. D. Kellogg. Boston<br />

Children’s Hospital, Boston, MA<br />

Background: Thiopurine drugs such as 6-mercaptopurine (6-MP) and azathioprine<br />

are used as immunosuppressive agents for <strong>the</strong> treatment <strong>of</strong> inflammatory<br />

bowel disease (IBD). Measurement <strong>of</strong> erythrocyte 6-thioguanine (6-TG) and<br />

6-methylmercaptopurine (6-MMP) concentrations is advocated for <strong>the</strong> purpose<br />

<strong>of</strong> obtaining baseline levels prior to commencement <strong>of</strong> <strong>the</strong>rapy and for monitoring<br />

levels in patients receiving treatment. We describe a liquid chromatography tandem<br />

mass spectrometry (LC-MS/MS) method for measurement <strong>of</strong> 6-TG and 6-MMP in<br />

erythrocytes.<br />

Materials and Methods: 6-thioguanine nucleotides (6-TGNs) and<br />

6-methylmercaptopurine nucleotides (6-MMPNs) were extracted from 100 uL<br />

<strong>of</strong> erythrocytes with perchloric acid and hydrolyzed to form 6-TG and 6-MMP<br />

respectively. Liquid chromatography was carried out using a Shimadzu SIL20AC<br />

autosampler with 20AD pumps (Shimadzu Corporation, Tokyo, Japan) utilizing an<br />

XSelect HSS T3 5μm (3.0 x 100 mm) analytical column (Waters Corporation,<br />

Milford, MA). Compounds were separated by gradient elution using 0.1% formic acid<br />

in water and acetonitrile as buffers A and B respectively. A flow rate <strong>of</strong> 0.5 mL/min<br />

was used throughout. An API-5000 triple quadropole mass spectrometer (ABSciex,<br />

Framingham, MA) utilizing atmospheric pressure chemical ionization (APCI) was<br />

used for analysis. Data was acquired in Multiple Reaction Monitoring mode (MRM)<br />

and analysis time was 5 minutes. Mass transitions for quantification were monitored<br />

for 6-TG (m/z 168/107) and 6-MMP (m/z 167/152). Quantitation was carried out<br />

using <strong>the</strong> internal standard (IS) ratio method with 8-Bromoadenine. The method was<br />

evaluated in accordance with standard protocols. Method comparison was carried out<br />

by comparing analysis <strong>of</strong> 70 samples from IBD patients receiving thiopurine <strong>the</strong>rapy<br />

with a reference LC/MS/MS method.<br />

Results: Optimal assay performance was achieved using a minimum volume <strong>of</strong> 500<br />

μL whole blood. Total assay imprecision was determined for 6-TG at 0.97 (RSD =<br />

13.4%), 3.24 (RSD = 9.3%) and 11.9 (RSD = 9.2%) pmol/0.8 Brbc (where B = 8x10 8 ).<br />

Imprecision was determined for 6-MMP at 10 (RSD = 14%), 41 (RSD = 10%) and<br />

109 (RSD = 12%) pmol/0.8 Brbc. LOQ for 6-TG and 6-MMP were 0.05 μmol/L and<br />

0.5 μmol/L respectively. The correlation between our method and <strong>the</strong> comparative<br />

method was favorable for 6-TG (R = 0.95; slope = 0.91; intercept = 30.2 pmol/0.8<br />

Brbc) and 6-MMP (R = 0.92; slope = 0.91; intercept = 734 pmol/0.8 Brbc). Values<br />

produced using <strong>the</strong> reference method were moderately higher for both 6-TG (mean<br />

bias: 7 pmol/0.8 Brbc; 95% limits <strong>of</strong> agreement: -77 to 90) and 6-MMP (mean bias:<br />

412 pmol/0.8 Brbc; 95% limits <strong>of</strong> agreement: -2031 to 2854).<br />

Conclusion: We have developed a LC/MS/MS method for measurement <strong>of</strong> 6-TG<br />

and 6-MMP using minimal sample volume for pediatric applications. Excellent<br />

chromatographic separation was achieved within a run time <strong>of</strong> 5 minutes using a<br />

modified C18 column exhibiting enhanced retention for <strong>the</strong> polar thiopurines. Our<br />

MS method utilizes APCI ionization enabling <strong>the</strong> detection <strong>of</strong> <strong>the</strong> molecular ion<br />

species at high abundance. Assay performance was acceptable for imprecision and<br />

bias. Method comparison data from 70 patients undergoing thiopurine <strong>the</strong>rapy showed<br />

favorable correlation with a reference method. The clinical interpretation <strong>of</strong> data was<br />

also consistent between <strong>the</strong> two methods.<br />

A-165<br />

Identification <strong>of</strong> plasma biomarkers <strong>of</strong> chronic drug exposure in a rat<br />

model<br />

X. Xie 1 , D. Lopez-Ferrer 1 , G. Gil 1 , Y. Karpievitch 1 , B. Nguyen 1 , K. Carr 2 ,<br />

H. Schulman 1 , D. Chelsky 3 , S. Roy 1 . 1 Caprion Proteomics US LLC, Menlo<br />

Park, CA, 2 New York University, New York, NY, 3 Caprion Proteome Inc.,<br />

Montreal, QC, Canada<br />

Background: Identifying patients in need <strong>of</strong> treatment for substance use disorder<br />

and monitoring <strong>the</strong>ir drug use is a necessary step for effective treatment. Previous<br />

proteomic studies <strong>of</strong> drug abuse or exposure focus on <strong>the</strong> analysis <strong>of</strong> cell lines or<br />

tissues as <strong>the</strong> detection <strong>of</strong> affected plasma proteins is very challenging. The goal <strong>of</strong><br />

this study was to test <strong>the</strong> feasibility <strong>of</strong> detecting changes in plasma proteins following<br />

chronic drug exposure in a rat model. The specific aims were to detect and validate<br />

proteomic biosignatures that correlate with behavioral and neurochemical sequelae<br />

in animal models <strong>of</strong> cocaine, morphine, and nicotine exposure. This initial discovery<br />

strategy could <strong>the</strong>n be used to identify patients predisposed to repeated drug use and<br />

<strong>the</strong>reby facilitate early intervention.<br />

Methods: Plasma was obtained from rats receiving chronic treatment with cocaine<br />

or with a methylphenidate challenge following end <strong>of</strong> cocaine administration,<br />

or morphine or nicotine. Depletion <strong>of</strong> abundant proteins was utilized to yield<br />

low-abundant proteins followed by trypsin digestion and peptide desalting. Peak<br />

alignment, extraction, and label-free quantitation <strong>of</strong> isotope group components was<br />

conducted followed by intensity normalization. Component differential expression<br />

was obtained by multivariate statistical analysis. After peptide pr<strong>of</strong>iling by nano-liquid<br />

chromatography-mass spectrometry (nano-LC-MS) and sequencing by LC-MS/MS,<br />

protein differential expression and identification were achieved. Mass spectrometricbased<br />

multiple reaction monitoring (MRM) assays are being performed in a second set<br />

<strong>of</strong> animals to verify <strong>the</strong>se potential biomarker candidates.<br />

Results: Only 1 μL <strong>of</strong> crude rat plasma before depletion was sufficient for downstream<br />

analysis including nano-LC-MS and LC-MS/MS and allowed us to quantify and<br />

identify differentially expressed rat plasma proteins following chronic cocaine,<br />

morphine or nicotine administration as compared to saline. In addition, expression<br />

<strong>of</strong> plasma proteins evoked by a methylphenidate challenge following end <strong>of</strong> chronic<br />

cocaine administration were measured. In total, ~500 rat plasma proteins were<br />

identified by LC-MS/MS. Among <strong>the</strong>m, more than 50 proteins were differentially<br />

expressed at 0, 3, 15, and 30 days after termination <strong>of</strong> 14 consecutive days <strong>of</strong> chronic<br />

cocaine administration. We found different patterns <strong>of</strong> changed proteins including<br />

consistent change, early change, or late change in <strong>the</strong> four time points monitored for<br />

<strong>the</strong> cocaine cohort compared to saline treated cohort. Some proteins were correlated<br />

with neuron or brain function in response to drug administration. We also measured<br />

<strong>the</strong> altered expression <strong>of</strong> plasma proteins following administration <strong>of</strong> morphine and<br />

nicotine, as well as changes evoked by methylphenidate challenge at 0 and 30 days<br />

following end <strong>of</strong> chronic cocaine administration. Targeted MRM assays are being<br />

conducted in an independent cohort to validate <strong>the</strong> protein changes.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A47


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

Conclusion: Results imply that similar studies in humans may be feasible in <strong>the</strong><br />

near future for monitoring <strong>the</strong> drug use <strong>of</strong> patients addicted to such substances. A<br />

biosignature that reliably reports on drug exposure up to 30 days following last drug<br />

use, when <strong>the</strong> drug and its metabolites are no longer detectable, would help to identify<br />

patients predisposed to repeated drug use and <strong>the</strong>reby facilitate early intervention.<br />

A-166<br />

Quantitative analysis and characterization <strong>of</strong> 25-Hydroxy-Vitamin<br />

D3 and D2 and 3-Epi-25-Hydroxy-Vitamin D3 and D2 by Liquid<br />

Chromatography Triple Quadruple Mass Spectrometry on <strong>the</strong> Agilent<br />

Triple Quad 6460 Mass Spectrometer.<br />

R. M. Doyle. Agilent Technologies, Inc, Wilmington, DE<br />

Background: Significant levels <strong>of</strong> <strong>the</strong> C-3 epimer <strong>of</strong> 25-Hydroxy-Vitamin D2 and D3<br />

(C3-Epi-25OHD2 and C3-Epi-25OHD3) have been found to be present in children<br />

and some adults. Therefore, <strong>the</strong> C3-Epi-25OHD analyte can be a potential interference<br />

in <strong>the</strong> assessment <strong>of</strong> vitamin D sufficiency and may have some clinical relevance<br />

to <strong>the</strong> overall metabolism <strong>of</strong> Vitamin D which still remains unclear. Therefore, a<br />

method was developed to resolve and quantify all four <strong>of</strong> <strong>the</strong> 25-Hydroxy-Vitamin<br />

D metabolites (25OHD3, 25OHD2, C3-Epi-25OHD2 and C3-Epi-25OHD3) utilizing<br />

<strong>the</strong> same liquid chromatographic and mass spectrometer parameters as for <strong>the</strong> analysis<br />

<strong>of</strong> just 25OHD3 and 25OHD2 alone.<br />

Methods: An Agilent 6460 tandem mass spectrometer with Jet Stream technology<br />

in positive Electrospray mode and an Agilent Infinity 1260 HPLC system were<br />

utilized for this analysis. 150 ml <strong>of</strong> human serum was used for <strong>the</strong> analysis <strong>of</strong> <strong>the</strong><br />

25OHD metabolites and <strong>the</strong> sample preparation involved liquid-liquid extraction<br />

(LLE). Various columns were evaluated and an Agilent Pursuit PFP 100 x 3 mm,<br />

2.7 um with water:methanol containing 0.1% formic acid gradient achieved baseline<br />

chromatographic separation <strong>of</strong> <strong>the</strong> four epimer and non-epimer metabolites in less<br />

than 6 minute run time. Quantitative analysis was performed using multiple reaction<br />

monitoring (MRM) transition pairs for each analyte and internal standard in positive<br />

mode and accuracy <strong>of</strong> <strong>the</strong> method was verified using reference materials from NIST<br />

(SRM 972) and serum adult samples<br />

Results: Good linearity and reproducibility were obtained with <strong>the</strong> concentration<br />

range <strong>of</strong> 0.5 ng/ml to 500 ng/ml for all <strong>the</strong> 25OHD metabolites with a coefficient<br />

<strong>of</strong> determination >0.99. The lower limits <strong>of</strong> detection (LLOD) and lower limit <strong>of</strong><br />

Quantitation (LLOQ) were determined to be at least 0.25 ng/ml and 0.5 ng/ml. The<br />

calculated mean <strong>of</strong> adult samples for Total 25(OH)D concentration was 27.4 ng/ml and<br />

C3-Epi-25(OH)D concentration was 0.75 ng/ml respectively. The chromatographic<br />

separation <strong>of</strong> 25(OH)D3 from C3-Epi-25(OH)D3 for NIST SRM 972 Level 4 by five<br />

replicates resulted in mean 33.1 ng/ml and 37.3 ng/ml levels with %CV <strong>of</strong> 5.83 and<br />

6.42 respectively.<br />

Conclusion: A sensitive, simple, specific and accurate liquid chromatographytandem<br />

mass spectrometry method was developed and validated for <strong>the</strong> simultaneous<br />

measurement <strong>of</strong> 25OHD and C3-Epi-25OHD metabolites in human serum.<br />

A-167<br />

Ultra sensitive quantitative analysis <strong>of</strong> Total and Free Testosterone<br />

in serum using Liquid Chromatography Triple Quadruple Mass<br />

Spectrometry with Ion Funnel Technology in Positive Electrospray<br />

Modes.<br />

R. M. Doyle 1 , A. Szczesniewski 2 . 1 Agilent Technologies, Wilmington, DE,<br />

2<br />

Agilent Technologies, Schaumberg, IL<br />

Background: Testosterone is <strong>the</strong> major androgenic hormone that is responsible for<br />

<strong>the</strong> development <strong>of</strong> <strong>the</strong> male external genitalia and secondary sexual characteristics<br />

while in females, it is an estrogen precursor. It exerts anabolic effects and influences<br />

behavior in both genders. Circulating testosterone is bound to sex hormone-binding<br />

globulin (SHBG) and a fraction is albumin bound and a small proportion exists as free<br />

hormone. The non-SHBG-bound testosterone is <strong>the</strong> biologically active component<br />

since serum albumin bound testosterone can dissociate freely. An ultra sensitive<br />

quantitative analytical method was developed for Total and Free Testosterone to be<br />

able to measure its levels in children and women and also to determine how much is<br />

biologically active and present in males as well.<br />

Methods: An Agilent 6490 tandem mass spectrometer with Ion Funnel technology<br />

and an Agilent Infinity 1290 HPLC system were utilized in positive Electrospray<br />

(ESI) mode. 200 μl <strong>of</strong> human serum was used for <strong>the</strong> analysis <strong>of</strong> Total Testosterone<br />

and <strong>the</strong> sample preparation was liquid-liquid extraction. The sensitivity <strong>of</strong> <strong>the</strong> assay<br />

and <strong>the</strong> instrument was compared using derivatized and underivatized testosterone<br />

to determine which gave <strong>the</strong> best response. The derivatives that were investigated<br />

included hydroxylamine, carboxymethylpyridine, picoloinic acid, etc. 500 μl<br />

<strong>of</strong> human serum was used for <strong>the</strong> analysis <strong>of</strong> Free Testosterone and <strong>the</strong> sample<br />

preparation was dialysis using Harvard Apparatus micro dispo-dialyzers and was also<br />

compared derivatized and underivatized. A Poroshell 120 EC-C18 column (2.1 x 50<br />

mm, 2.7 um) was used for one-dimensional separation with a run time <strong>of</strong> 5 minutes.<br />

Quantitative analysis was performed using multiple reaction monitoring (MRM)<br />

transition pairs for each analyte and internal standard in positive mode.<br />

Results: Good linearity and reproducibility were obtained with <strong>the</strong> ultra sensitive<br />

concentration range <strong>of</strong> 5 pg/ml to 5000 pg/ml for <strong>the</strong> Total Testosterone and <strong>the</strong> Free<br />

Testosterone underivatized. The lower limits <strong>of</strong> detection (LLOD) were achieved<br />

for <strong>the</strong> Total and Free Testosterone at 2.5 pg/ml. The intra- and inter-day CV’s were<br />

< 8.5% and between 3% to10% respectively for <strong>the</strong> underivatized Total and Free<br />

testosterone. For <strong>the</strong> derivatized testosterone, <strong>the</strong> initial ultra sensitive concentration<br />

range <strong>of</strong> 0.5 pg/ml to 5000 pg/ml was achieved with oxime derivatization <strong>of</strong> Total<br />

and Free Testosterone with an LLOD <strong>of</strong> 0.1 pg/ml being obtained. The methods were<br />

compared using measurements from Standard reference material (SRM 971) from<br />

NIST and submitted samples. Fur<strong>the</strong>r analysis on <strong>the</strong> derivatives is being carried out<br />

to determine which derivative gives <strong>the</strong> best response while at <strong>the</strong> same time <strong>of</strong>fering<br />

ease <strong>of</strong> use.<br />

Conclusion: A sensitive, simple, specific and accurate liquid chromatographytandem<br />

mass spectrometry method was developed and validated for <strong>the</strong> simultaneous<br />

measurement <strong>of</strong> Free and Total Testosterone in human serum. The underivatized and<br />

derivatized Total and Free testosterone were evaluated and although underivatized<br />

testosterone gives sensitive results, <strong>the</strong> oxime derivatized testosterone is giving better<br />

sensitivity. Fur<strong>the</strong>r work is being carried out using o<strong>the</strong>r derivatives as to which<br />

reagent gives <strong>the</strong> best results.<br />

A-168<br />

Quantitative analysis <strong>of</strong> Free Estrogens in serum and <strong>the</strong> evaluation<br />

<strong>of</strong> sample preparation techniques using Liquid Chromatography<br />

Triple Quadruple Mass Spectrometry with ion Funnel Technology in<br />

Negative ESI Modes<br />

R. M. Doyle 1 , A. Szczesniewski 2 . 1 Agilent Technologies, Inc, Wilmington,<br />

DE, 2 Agilent Technologies, Inc, Schaumberg, IL<br />

Background: Estrogens are involved in <strong>the</strong> development and maintenance <strong>of</strong><br />

<strong>the</strong> female sexual characteristics, germ cell maturation, and pregnancy as well as<br />

growth, nervous system maturation, bone metabolism/remodeling, and endo<strong>the</strong>lial<br />

responsiveness. The active estrogens in non-pregnant humans are estrone (E1) and<br />

estradiol (E2) while estriol (E3) is <strong>the</strong> main pregnancy estrogen only in women.<br />

Estrogens are produced primarily in ovaries, testes, <strong>the</strong> adrenal glands and some<br />

peripheral tissues. Measurement <strong>of</strong> serum estrogens are needed in <strong>the</strong> assessment<br />

<strong>of</strong> reproductive function in female and are used to monitor ovulation induction.<br />

Ultra sensitive Estrogen measurements are required for inborn errors <strong>of</strong> sex<br />

steroid metabolism, disorders <strong>of</strong> puberty, estrogen deficiency in men, fracture risk<br />

assessment in menopausal women, and increasingly for <strong>the</strong>rapeutic drug monitoring.<br />

The ultra sensitive measurement <strong>of</strong> Free Estrogens are required since <strong>the</strong>y a bound<br />

to sex hormone-binding globulin and albumin with approximately 2.21% free<br />

and biologically active. In order to address <strong>the</strong>se challenges, a sensitive liquid<br />

chromatography-tandem mass spectrometry method for <strong>the</strong> simultaneous analysis<br />

<strong>of</strong> Estradiol and eventually Estrone and Estriol in serum samples was developed.<br />

Sample preparation methods for <strong>the</strong> detection <strong>of</strong> Free Estrogens using derivatization<br />

were developed and evaluated for <strong>the</strong>ir suitability for enhanced detection and ease <strong>of</strong><br />

utilization.<br />

Methods: An Agilent 6490 tandem mass spectrometer with Ion Funnel technology<br />

and an Agilent Infinity 1290 HPLC system were utilized in both positive Electrospray<br />

(ESI) modes. 500 μl <strong>of</strong> human serum was used for <strong>the</strong> analysis <strong>of</strong> Free Estrogens and<br />

<strong>the</strong> sample preparation investigated and compared included ultracentrifugation using<br />

Amicon centrifugal units and equilibrium dialysis using Harvard Apparatus micro<br />

dispo-dialyzers. The sample was <strong>the</strong>n derivatized with Dansyl Chloirde. A Poroshell<br />

120 EC-C18 column (2.1 x 150 mm, 2.7 um) was used for one-dimensional separation<br />

with a run time <strong>of</strong> 6.5 minutes. Quantitative analysis was performed using multiple<br />

reaction monitoring (MRM) transition pairs for each analyte and internal standard in<br />

positive and negative mode.<br />

A48 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results: Good linearity and reproducibility were obtained with <strong>the</strong> concentration<br />

range <strong>of</strong> 0.25 pg/ml to 1000 pg/ml for Free Estradiol while Free Estrone and Estriol<br />

is still being evaluated. The best lower limits <strong>of</strong> detection (LLOD) <strong>of</strong> Free Estradiol<br />

were achieved at 0.1 pg/ml and comparable between <strong>the</strong> two sample preparation<br />

techniques with equilibrium dialysis showing slightly better overall background. The<br />

intra- and inter-day CV’s for Free Estradiol has been to be


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

Results: No matrix effect or interference was found. Lower limits <strong>of</strong> quantifications<br />

were 9.7, 9.6, and 4.9 ng/mL for buprenorphine, norbuprenorphine and 6-MAM,<br />

respectively. Within <strong>the</strong> linear range, analytical recovery was 80.5-113.0% for all<br />

analytes. Intra-assay and total coefficient <strong>of</strong> variations were between 0.2% and 10.3%.<br />

This method demonstrated consistent patient results (n=40) with <strong>the</strong> independent<br />

LC-MS/MS methods <strong>of</strong>fered by two o<strong>the</strong>r laboratories. Percentage <strong>of</strong> glucuronide<br />

conjugation <strong>of</strong> 6-MAM varied from 0 to 45% in 8 patient urine samples positive for<br />

6-MAM.<br />

Conclusion: We have successfully expanded current pain management panel to<br />

include buprenorphine and heroin with high sensitivity, specificity, and precision.<br />

A-172<br />

Difference in 25-hydroxyvitamin D results measured by an LC-MS/MS<br />

versus an immunoassay resulted in outcome discrepancy <strong>of</strong> a clinical<br />

trial supplementing vitamin D in CKD patients<br />

J. M. El-Khoury, J. Hyland, J. Simon, S. Wang. Cleveland Clinic,<br />

Cleveland, OH<br />

Background: Vitamin D deficiency is common in <strong>the</strong> chronic kidney disease<br />

(CKD) population and is treated according to <strong>the</strong> 2003 K/DOQI Clinical Practice<br />

Guidelines for Bone Metabolism and Disease in CKD. These guidelines recommend<br />

administration <strong>of</strong> variable high dose vitamin D 2<br />

regimens based on <strong>the</strong> severity <strong>of</strong><br />

vitamin D deficiency. Some studies have shown that <strong>the</strong>se guidelines may not be<br />

adequate, and that vitamin D 3<br />

<strong>the</strong>rapy may be more efficient than vitamin D 2<br />

. In this<br />

report, our objective was to compare 25-hydroxyvitamin D (25OHD) results measured<br />

by a chemiluminescent immunoassay (CLIA) to those by a liquid chromatographytandem<br />

mass spectrometry (LC-MS/MS) assay in a randomized clinical trial with two<br />

groups <strong>of</strong> CKD patients receiving vitamin D2 and vitamin D3 treatments, respectively.<br />

Methods: This was a double blinded study with patient enrollment over <strong>the</strong> course<br />

<strong>of</strong> 10 months. All subjects (n=16) enrolled after consent were adults with stage 3 or<br />

4 CKD and vitamin D deficiency (25OHD < 30 ng/mL) as determined by <strong>the</strong> CLIA.<br />

Subjects were randomized to receive ei<strong>the</strong>r vitamin D 2<br />

or vitamin D 3<br />

(50,000 IU once<br />

per week for 4 weeks <strong>the</strong>n monthly <strong>the</strong>reafter for those with 25OHD between 5 and<br />

15 ng/mL or 50,000 IU once per month for those with 25OHD between 16 and 30<br />

ng/mL). Subjects were followed for <strong>the</strong> 6 months <strong>of</strong> treatment. The two groups were<br />

balanced (n = 8 in each treatment arm). For every patient, 25OHD was measured<br />

every 6 weeks by an FDA-approved CLIA (Diasorin Liaison) and <strong>the</strong> sample was <strong>the</strong>n<br />

frozen at -80°C and measured at <strong>the</strong> conclusion <strong>of</strong> <strong>the</strong> study by an LC-MS/MS assay<br />

in two random batches. The primary endpoint was percentage <strong>of</strong> <strong>the</strong> subjects reaching<br />

vitamin D sufficiency (25OHD > 30 ng/mL) after 6 months <strong>of</strong> treatment.<br />

Results: Deming regression demonstrated a poor correlation between <strong>the</strong> two<br />

methods (n=76, slope=0.837, intercept=1.18, r=0.5386). Fur<strong>the</strong>rmore, <strong>the</strong> CLIA<br />

results showed that only 50% <strong>of</strong> subjects in ei<strong>the</strong>r treatment groups reached 25OHD<br />

level <strong>of</strong> > 30 ng/mL, while <strong>the</strong> LC-MS/MS revealed that 100% <strong>of</strong> D3 and 50% <strong>of</strong> D2<br />

treated groups reached <strong>the</strong> sufficient level by <strong>the</strong> end <strong>of</strong> <strong>the</strong> study. In addition, <strong>the</strong><br />

LC-MS/MS results <strong>of</strong> <strong>the</strong> D2 treated group displayed a significant trend <strong>of</strong> declining<br />

25OHD3 levels as <strong>the</strong> treatment progressed, which explains <strong>the</strong> modest increase in<br />

total 25OHD in that group compared to <strong>the</strong> D3 treated group.<br />

Conclusion: The CLIA and LC-MS/MS assays showed poor correlation in a<br />

population <strong>of</strong> stage 3 or 4 CKD patients treated with ei<strong>the</strong>r vitamin D2 or D3.<br />

Importantly, <strong>the</strong> CLIA underestimated <strong>the</strong> total amount <strong>of</strong> 25OHD when compared<br />

with <strong>the</strong> LC-MS/MS and may result in falsely classifying patients as vitamin D<br />

deficient or non-responsive to treatment. Supplementation with vitamin D3 based<br />

on K/DOQI guidelines successfully addressed <strong>the</strong> vitamin D deficiency issue in this<br />

CKD population. It is important to employ an LC-MS/MS method for monitoring<br />

vitamin D status in <strong>the</strong> patient population.<br />

A-173<br />

Adult African American and Caucasian Reference Intervals for 25-OH<br />

Vitamin D3.<br />

Method: The study group consisted <strong>of</strong> 460 healthy outpatients between <strong>the</strong> ages <strong>of</strong><br />

20-70 years in whom only serum 25-OH Vitamin D3 (and no D2) was found. 25-OH<br />

Vitamin D2 was present in less than 5% and <strong>the</strong>y were not included in <strong>the</strong> study<br />

group. The group consisted <strong>of</strong> 175 African Americans (113 females and 62 males)<br />

and 295 Caucasians (180 females and 115 males). Samples were drawn between 6am<br />

and 2pm between April and August for <strong>the</strong> years 2011 and 2012. An API-4000 tandem<br />

mass spectrometer (Sciex, Concord, Canada) equipped with TurboIonSpray source<br />

and Agilent 1200 series HPLC system was used to perform <strong>the</strong> analysis by using<br />

isotope dilution with deuterium labeled internal standard, d6-25-OH Vitamin D3.<br />

100 uL <strong>of</strong> human serum was deproteinized by adding 150 uL <strong>of</strong> methanol containing<br />

internal standards. After centrifugation, 150 uL <strong>of</strong> supernatant was diluted with 250<br />

uL <strong>of</strong> distilled de-ionized water and 100 μL aliquot was injected onto Phenomenex<br />

Luna C8 (50 X 2.0mm, 5um) column. After a 2 min wash, <strong>the</strong> switching valve was<br />

activated and <strong>the</strong> analytes <strong>of</strong> interest were eluted from <strong>the</strong> column with a water/<br />

methanol gradient at a flow rate <strong>of</strong> 0.7 mL/min and <strong>the</strong>n introduced into <strong>the</strong> MS/MS<br />

system. Quantitation by multiple reaction-monitoring (MRM) analysis was performed<br />

in <strong>the</strong> positive mode. The transitions to monitor were selected at mass-to-charge (m/z)<br />

401.3→365.1 for 25-OH-Vitamin D3 and 407.3 →371.1 for d6-25-OH Vitamin D3.<br />

Results: The following reference intervals (ng/mL) were found employing <strong>the</strong><br />

percentile approach. Almost identical results were obtained employing <strong>the</strong> H<strong>of</strong>fmann<br />

approach (H<strong>of</strong>fmann RG JAMA;1963:150-9). Percentile 2.5th-97.5th is 9.4-61.6 for<br />

Caucasians and 4.1-56.2 for African Americans.<br />

Conclusions: Our finding that African Americans have significantly lower 25-OH<br />

Vitamin D3 reference intervals than Caucasians confirms previously published data<br />

for a combination <strong>of</strong> D3 and D2. However, reference intervals for 25OH Vitamin D3<br />

vary with season,Summer intervals being slightly higher than those found during <strong>the</strong><br />

Winter months. The intervals quoted above are for <strong>the</strong> Spring and Summer months. It<br />

is also important to note that <strong>the</strong> reference intervals for 25-OH Vitamin D3 are lower<br />

than <strong>the</strong> usually recommended optimal clinical concentrations <strong>of</strong> 32-100 ng/mL. An<br />

interesting question for future studies revolves around <strong>the</strong> PTH /25-OH Vitamin D3<br />

set-point: is it different for <strong>the</strong>se 2 populations?<br />

A-174<br />

Non-radioactive Iothalamate Measurement by Liquid<br />

Chromatography-Tandem Mass Spectrometry for Determination <strong>of</strong><br />

Glomerular Filtration Rate<br />

J. M. El-Khoury, H. Rolin, D. R. Bunch, E. Poggio, S. Wang. Cleveland<br />

Clinic, Cleveland, OH<br />

Introduction: Glomerular filtration rate (GFR) is commonly determined by measuring<br />

radioactivity in serum/plasma and urine after infusing radioactive iothalamate. Last<br />

year we presented a novel liquid chromatography-tandem mass spectrometry (LC-<br />

MS/MS) method for <strong>the</strong> measurement <strong>of</strong> non-radioactive iothalamate and showed<br />

preliminary comparisons with a GFR method with radioactive measurement (n=10).<br />

In this report, we present here <strong>the</strong> full comparison <strong>of</strong> <strong>the</strong> GFR results by <strong>the</strong> LC-MS/<br />

MS method with those by <strong>the</strong> radioactive method using <strong>the</strong> complete set <strong>of</strong> study<br />

subjects (n=36).<br />

Methods: After consent, <strong>the</strong> subjects (n = 36) received subcutaneous injections with<br />

radioactive 125 I-sodium iothalamate in one arm and non-radioactive iothalamate<br />

meglumine in <strong>the</strong> o<strong>the</strong>r at <strong>the</strong> same time, followed by bracketed collection <strong>of</strong> blood<br />

and urine samples. Alternate (quantitative) method comparison was performed using<br />

EP Evaluator®.<br />

Results: Comparison <strong>of</strong> <strong>the</strong> GFR results measured by LC-MS/MS with those by <strong>the</strong><br />

radioactive iothalamate method showed a mean difference <strong>of</strong> 4.78 mL/min/1.73m 2<br />

(7.3%) and <strong>the</strong> Deming regression showed a slope <strong>of</strong> 1.085, intercept <strong>of</strong> -0.749 and R<br />

<strong>of</strong> 0.9886 (Figure). The differences between <strong>the</strong> two methods were greater at <strong>the</strong> high<br />

end <strong>of</strong> <strong>the</strong> GFR (8% at GFR >60 mL/min/1.73m 2 ) than those at <strong>the</strong> low end (4.1% at<br />


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

method using samples with elevated 25OHD2 concentrations. The assays compared<br />

more favorably amongst each o<strong>the</strong>r, with <strong>the</strong> Liaison and Architect having <strong>the</strong> least<br />

discrepancy.<br />

Conclusions: The commercial immunoassays under this evaluation did not <strong>of</strong>fer<br />

reliable quantitation for samples containing elevated levels <strong>of</strong> 25OHD2 (>15 ng/mL).<br />

We recommend that patients on vitamin D2 supplements be measured by LC-MS/MS<br />

for a more accurate assessment.<br />

Abbott<br />

LC-MS/MS Diasorin Liaison Siemens Centaur<br />

Architect<br />

LC-MS/MS N/A Duplicate data Duplicate data Duplicate data<br />

n = 157<br />

Slope = 0.511<br />

Diasorin Intercept = 2.338<br />

N/A Duplicate data Duplicate data<br />

Liaison Bias = -27.12<br />

Corr. Coef (R):<br />

0.39<br />

Siemens<br />

Centaur<br />

n = 150<br />

Slope = 7.420<br />

Intercept = -388.3<br />

Bias = -5.87<br />

Corr. Coef (R):<br />

0.13<br />

n = 148<br />

Slope = 0.384<br />

Intercept = 4.14<br />

Abbott Architect<br />

Bias = -33.61<br />

Corr. Coef (R):<br />

0.51<br />

A-176<br />

n = 149<br />

Slope = 2.410<br />

Intercept = -24.675<br />

Bias = 21.33<br />

Corr. Coef (R):<br />

0.85<br />

n = 148<br />

Slope = 0.736<br />

Intercept = 3.168<br />

Bias = -5.61<br />

Corr. Coef (R):<br />

0.92<br />

N/A<br />

n = 140<br />

Slope = 4.184<br />

Intercept = -59.872<br />

N/A<br />

Bias = 26.63<br />

Corr. Coef (R):<br />

0.65<br />

Duplicate data<br />

LC/MS/MS Analysis <strong>of</strong> Serum/Plasma Concentrations <strong>of</strong> Thyroid<br />

Hormones in Various Preclinical Species<br />

L. Luo, J. Colangelo. Pfi zer Inc, Groton, CT<br />

A-175<br />

Comparison <strong>of</strong> Three Commercial 25-hydroxyvitamin D Immunoassays<br />

with a Liquid Chromatography-Tandem Mass Spectrometry Assay<br />

Using Samples with Elevated 25-hydroxyvitamin D2<br />

J. M. El-Khoury, C. Gan, M. Gupta, S. Wang. Cleveland Clinic, Cleveland,<br />

OH<br />

Background: Vitamin D, <strong>the</strong> sunshine vitamin, exists in two biologically active forms,<br />

vitamin D2 and vitamin D3. Measurement <strong>of</strong> its metabolite, 25-hydroxyvitamin D<br />

(25OHD) in serum/plasma is useful for <strong>the</strong> assessment <strong>of</strong> a patient’s vitamin D status.<br />

For accurate assessment <strong>of</strong> a patient’s vitamin D status both 25OHD3 and 25OHD2<br />

must be measured equally. Multiple commercial immunoassays for <strong>the</strong> measurement<br />

<strong>of</strong> 25OHD are available and have been largely compared to each o<strong>the</strong>r and to <strong>the</strong><br />

gold standard methods, liquid chromatography-tandem mass spectrometry (LC-MS/<br />

MS). However, <strong>the</strong>se comparison studies mostly included patients with 25OHD3 and<br />

very few patients with detectable 25OHD2 (15 ng/mL, as determined by our LC-MS/MS method, were stored<br />

frozen at -70°C. These samples were later thawed once, kept refrigerated and analyzed<br />

within a week on <strong>the</strong> Liaison, Centaur and Architect. EP Evaluator® was used for <strong>the</strong><br />

statistical analysis.<br />

Results: 25OHD2 concentrations ranged from 15.0 to 87.1 ng/mL and 25OHD<br />

total concentrations from 23.1 to125.3 ng/mL by <strong>the</strong> LC-MS/MS method. Assay<br />

comparison characteristics are summarized in <strong>the</strong> table below. The slopes and<br />

intercepts provided in <strong>the</strong> table were based on Deming regression analyses. The<br />

commercial immunoassays tested here compared poorly with our LC-MS/MS<br />

Background: Potential new drugs that enhance metabolism or clearance <strong>of</strong> thyroid<br />

hormones in animals <strong>of</strong>ten trigger a sequence <strong>of</strong> toxicity events in preclinical<br />

toxicology studies, so accurate measurements <strong>of</strong> thyroid hormones, especially total<br />

triiodothyronine (T3) and total thyroxine (T4), are important. Thyroid hormones<br />

are essential hormones for regulation <strong>of</strong> growth and development in humans and<br />

preclinical species, and <strong>the</strong> thyroid can be a major target organ <strong>of</strong> toxicity during<br />

drug development. Liquid chromatography - tandem mass spectrometry is an<br />

emerging technique for <strong>the</strong> measurement <strong>of</strong> thyroid hormones in <strong>the</strong> clinical setting<br />

and is preferred over immunoassay methods. Preclinically, total T3/T4 are typically<br />

measured by immunoassays on multiple platforms based on species. The objective<br />

<strong>of</strong> this study was to develop and validate a simple and sensitive LC/MS/MS method<br />

to simultaneously quantify T3/T4 in multiple preclinical species and to determine its<br />

application in drug development studies.<br />

Methods: Total T3/T4 were quantified by LC/MS/MS on an AB Sciex 5500 QTrap<br />

interfaced to a Waters Acquity UPLC system in positive ion mode using stable<br />

labeled internal standards (T3- 13 C6 and T4-d5). A 100uL aliquot <strong>of</strong> serum/plasma was<br />

deproteinized on a Waters Ostra plate by adding 400μL <strong>of</strong> acidic acetonitrile, and<br />

chromatographic separations were performed by gradient elution on a Restek Ultra<br />

Biphenyl column (2.1 x 50 mm, 5 μm). Calibration standards ranging from 0.1 to<br />

200 ng/mL and quality controls at 2, 10, and 50 ng/mL were prepared in charcoal<br />

stripped serum. Accuracy and precision were evaluated by analyzing quality controls<br />

on three different days. Application <strong>of</strong> <strong>the</strong> assay to various preclinical species was<br />

conducted by measuring serum/plasma total T3 and total T4 in rat, mouse, dog, rabbit,<br />

and monkey samples. Method comparison was performed between LC/MS/MS and<br />

<strong>the</strong> corresponding platform used for that specific species. For example, T4 levels in<br />

dog were compared between LC/MS/MS and <strong>the</strong> Immulite; for human samples, T3/<br />

T4 was compared between mass spectrometry and <strong>the</strong> Centaur. Biological verification<br />

was evaluated by providing mice ei<strong>the</strong>r with an iodine deficient diet supplemented<br />

with 0.1% propylthiouracil (PTU) or a regular diet as a control for 10 days. Serum<br />

samples were analyzed for T3/T4 by LC/MS/MS and <strong>the</strong> Meso Scale Discovery<br />

(MSD) duplex assay, and <strong>the</strong> data compared.<br />

Results: The intra-day and inter-day coefficients <strong>of</strong> variation (CV) for <strong>the</strong> LC/MS/MS<br />

assay were between 3%-12% for both analytes for all three quality control standards,<br />

and accuracy ranged between 84% to 109%. For each species <strong>the</strong> intra- and inter-day<br />

precision were within ±15% for both analytes. The correlations between LC/MS/MS<br />

and Immulite in dog and rabbit were 0.96 and 0.88, respectively. For human serum<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

samples, <strong>the</strong> regression analyses <strong>of</strong> T3/T4 concentrations by LC/MS/MS and Centaur<br />

showed significant correlations as well. As expected, T3 and T4 were significantly<br />

decreased in <strong>the</strong> PTU treated mice group as compared to <strong>the</strong> control group.<br />

Conclusion: A single LC/MC/MS method was successfully optimized, validated,<br />

and applied to support toxicology studies for drug development in various preclinical<br />

species.<br />

A-177<br />

Measurement <strong>of</strong> Urine Catecholamines by AB Sciex 3200 Q-Trap<br />

Tandem Mass Spectrometer<br />

A. Lou 1 , L. C<strong>of</strong>fin 1 , H. Vandenberghe 2 , W. Carroll 1 , L. Brown 1 , B. Nassar 1 .<br />

1<br />

Capital Health and Dalhousie University, Halifax, NS, Canada, 2 St.<br />

Michael’s Hospital and University <strong>of</strong> Toronto, Toronto, ON, Canada<br />

Background: Analysis <strong>of</strong> urine catecholamines is important for <strong>the</strong> clinical<br />

diagnosis <strong>of</strong> catecholamine-secreting neuroendocrine tumors: pheochromocytoma<br />

or neuroblastoma. Our High Performance Liquid Chromatography-Electrochemical<br />

Detection (HPLC-ECD) method had major disadvantages: tedious sample preparation<br />

procedures, long instrument analysis time and potential interference from foods and<br />

drugs. The current study aimed to develop and validate a fast, accurate and specific<br />

liquid chromatography tandem mass spectrometry (LC/MS/MS) assay for quantitation<br />

<strong>of</strong> urine catecholamines (CATs).<br />

Methods: Norepinephrine (NE), epinephrine (E) and dopamine (D) were extracted<br />

from 200 uL <strong>of</strong> urine by liquid-liquid extraction after <strong>the</strong> three isotope-labeled<br />

internal standards, namely deuterated (d)6-NE, d6-E and d4-D were added. CATs<br />

were separated on an Agilent 1200 LC system with a Kinetex 2.6 micron PFP column<br />

(100 mm x 3 mm) in a 5-minute isocratic run at a flow rate <strong>of</strong> 0.4 mL/min. The<br />

mobile phase consisted <strong>of</strong> 95% deionized water and 5% methanol with 0.2% formic<br />

acid. AB Sciex 3200 Q trap tandem mass spectrometer, interfaced with <strong>the</strong> turbo ion<br />

spray source, operated in positive mode and controlled by analyst 1.5.1 s<strong>of</strong>tware, was<br />

used for characterization and quantitation <strong>of</strong> CATs by multiple reaction monitoring<br />

(MRM). The turbo ion source was optimized for CATs using pure compounds<br />

(Sigma-Aldrich). MRM transitions monitored were m/z 170.2→107.2 for NE<br />

and 176.2→112.2 for d6-NE, 184.2→107.2 for E and 190.2→112.2 for d6-E and<br />

154.2→91.1 for D and 158.2→95.2 for d4-D. Standard materials (BioRad) were used<br />

to determine linearity. Imprecision was calculated by analyzing two levels <strong>of</strong> BioRad<br />

quality controls in duplicate for 23 days. Limit <strong>of</strong> quantitation was determined using<br />

progressively lower concentrations <strong>of</strong> diluted BioRad controls. Analysis <strong>of</strong> CATs was<br />

performed 20 times over 2 days and <strong>the</strong> limit was based on coefficient <strong>of</strong> variation<br />

(CV) 0.9993). The intra-assay CVs were 7.3% and 5.8%<br />

for NE at target concentrations <strong>of</strong> 253 and 1257 nmol/L, 7.0% and 7.1% for E at<br />

70 and 477 nmol/L and 3.9% and 7.9% for D at 387 and 3461 nmol/L. The limit <strong>of</strong><br />

quantitation was lower than 53.1, 14.8, and 37.9 nmol/L for NE, E and D, respectively.<br />

Comparison <strong>of</strong> LC/MS/MS (y) to HPLC-ECD assay (x) gave <strong>the</strong> Passing-Bablok<br />

linear regression <strong>of</strong> y = 1.12x + 0.21 for NE (range <strong>of</strong> 20-870 nmol/L), y = 1.13x<br />

+ 2.13 for E (range <strong>of</strong> 4.0-288 nmol/L) and y = 0.88x + 54.5 for D (range <strong>of</strong> 102-<br />

3951 nmol/L). The time for sample preparation was reduced by approximately 40%,<br />

while <strong>the</strong> elution time was decreased from 10 to 5 minutes (50%), thus significantly<br />

impacting analysis time.<br />

Conclusion: The LC/MS/MS assay for determination <strong>of</strong> urine CATs is robust, rapid<br />

and <strong>of</strong>fers improved analytical performance in routine laboratory practice.<br />

A-178<br />

Integrated Targeted Quantitation Method for Insulin and its<br />

Therapeutic Analogs<br />

E. E. Niederk<strong>of</strong>ler 1 , T. Schroeder 2 , D. Nedelkov 1 , U. A. Kiernan 1 , D. A.<br />

Phillips 1 , K. A. Tubbs 1 , S. Peterman 2 , B. Krastins 2 , A. Prakash 2 , M. Lopez 2 .<br />

1<br />

Thermo Fisher Scientifi c, Tempe, AZ, 2 Thermo Fisher Scientifi c BRIMS,<br />

Cambridge, MA<br />

Background: The need to detect and quantify insulin and its analogs has become<br />

paramount for both medical and sports doping applications. Insulin levels are typically<br />

present at sub ng/mL levels and are generally in <strong>the</strong> presence <strong>of</strong> low molecular weight<br />

background material requiring extraction/enrichment to increase <strong>the</strong> concentration<br />

prior to detection/quantitation. In addition, slight sequence variations are used to<br />

change <strong>the</strong> bioavailability fur<strong>the</strong>r complicating high-throughput quantitation. To<br />

date, researchers have utilized generic enrichment methods such as SPE to decrease<br />

background matrix effects. We have developed a pan-insulin antibody capture method<br />

coupled to LC-SRM for high-throughput quantification for human insulin and<br />

variants.<br />

Methods: A series <strong>of</strong> samples were prepared neat and in serum using human<br />

insulin and five additional variants. The different insulin analogs were prepared<br />

independently and mixed at different levels to test <strong>the</strong> selectivity and sensitivity <strong>of</strong> <strong>the</strong><br />

enrichment method employed. Target enrichment was performed using custom MSIA<br />

D.A.R.T.’S derivatized with a pan-anti insulin antibody. All detection and quantitation<br />

experiments were performed using LC-SRM on a newly released triple quadrupole<br />

mass spectrometer. SRM transitions unique to each analog were optimized for <strong>the</strong><br />

intact insulin molecules as well as for <strong>the</strong> corresponding beta chains. Both sets were<br />

tested using a 15 minute experimental methods.<br />

Results : The primary limitations to routine, high-throughput targeted quantitation <strong>of</strong><br />

insulin and its various analogs have been limited by inefficient extraction/enrichment<br />

protocols. The incorporation <strong>of</strong> custom MSIA D.A.R.T.’S loaded with <strong>the</strong> pan-insulin<br />

Ab facilitated capture for all variants from <strong>the</strong> samples while significantly decreasing<br />

<strong>the</strong> background matrix. The increased capture efficiency permitted <strong>the</strong> development<br />

<strong>of</strong> an 8 minute method. The pan-Ab has been shown to recognize a common epitope<br />

region in <strong>the</strong> beta chain that is conserved across all variants. A unique set <strong>of</strong> SRM<br />

transitions were developed for each variant, intact as well as <strong>the</strong> beta chains and all<br />

transitions were included in a single, multiplexed method to identify presence/absence<br />

<strong>of</strong> each variant and relative/absolute quantitative determination. The initial results<br />

demonstrated LOQ values


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Note: MS screen involved retention time and precursor ion exact mass. MS E screen involved<br />

retention time, precursor and fragment ions exact mass. $ NF - no fragment ion exact match<br />

was found, *N - negative: no precursor or fragment ion match found. Cod: Codeine, EDDP:<br />

2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine, Fen: Fentanyl, Norf: Norfentanyl,<br />

HC: Hydrocodone, HM: Hydromorphone, Met: Methadone, Mor: Morphine, 6-AM:<br />

6-Monoacetylmorphine, OC: Oxycodone, OM: Oxymorphone<br />

A-181<br />

Subtyping <strong>of</strong> Amyloidosis Using a High Resolution Benchtop Orbitrap<br />

Mass Spectrometer<br />

C. Yuan, C. V. Cotta, E. D. Hsi, S. Wang. Cleveland Clinic, Cleveland, OH<br />

A-180<br />

Time <strong>of</strong> Flight (TOF) Screening: Use <strong>of</strong> Low Energy (Precursor Ion)<br />

and High Energy (Fragment Ion) Scans to Eliminate False Positive<br />

Result<br />

N. Chindarkar 1 , M. Wakefield 2 , R. Fitzgerald 1 . 1 University <strong>of</strong> California-<br />

San Diego, San Diego, CA, 2 Waters Corporation, Pleasanton, CA<br />

Background & Objectives: Drug screening by liquid chromatography-TOF relies on<br />

exact mass <strong>of</strong> protonated analyte. Screening with single high resolution mass analyzer<br />

can provide false positive result. Recent development (MS E functionality) in <strong>the</strong> TOF<br />

technology provides <strong>the</strong> ability to acquire both low energy (precursor ion) and high<br />

energy (fragment ion) data in a single rapid screening run using collision induced<br />

dissociation. We demonstrate: 1) <strong>the</strong> influence <strong>of</strong> confirmation criteria including <strong>the</strong><br />

presence <strong>of</strong> a fragment ion on number <strong>of</strong> positive hits 2) that <strong>the</strong> precursor ion and<br />

fragment ion spectra obtained in a single run can help with unambiguous identification<br />

<strong>of</strong> analyte 3) that our method is accurate, precise and linear over a clinically useful<br />

range.<br />

Experimental: Waters Acquity UPLC/Xevo G2 TOF, (positive ESI), UPLC BEH<br />

C18 column. Mobile phase A and B were 5mM ammonium formate (pH 3) and 0.1%<br />

formic acid in Acetonitrile respectively (flow 0.4mL/min). 450μL <strong>of</strong> deionized water<br />

was added to each 2mL vial followed by addition <strong>of</strong> 50μL IS solution (prepared in<br />

syn<strong>the</strong>tic urine) and 200μL sample/standard/QC. 300μL <strong>of</strong> β-Glucuronide (5000U/<br />

mL) solution was added; vials were capped and mixed by inversion followed by<br />

incubation at 50ºC for 90 minutes. The samples were centrifuged (3500rpm) for 20<br />

min and loaded in <strong>the</strong> auto-sampler for analysis. 10μL sample was injected.<br />

Results and Conclusion: Table 1 shows that when compared to LC-MS/MS results<br />

(174 positives); TOF MS screening without fragment ion confirmation gave false<br />

positives. Addition <strong>of</strong> fragment ion information (TOF MS E screening) eliminated 24<br />

false positives. MS E screening failed to obtain information about fragment ion when<br />

analyte concentration was low (17 no fragment ions found, 1 negative- no precursor<br />

or fragment ions found), <strong>the</strong>re was severe ion suppression or <strong>the</strong> analyte did not<br />

fragment well (e. g. Morphine, Oxymorphone, Oxycodone). Our method was linear<br />

over clinically useful range.<br />

Table 1: Comparison <strong>of</strong> LC-MS/MS (Tandem Quadrupoles) and LC-TOF Screening Results<br />

(Positive Hits)<br />

LC/MS/MS<br />

TOF<br />

MS screen<br />

TOF<br />

MS E Screen<br />

Cod 13 13 13 -<br />

EDDP 23 23 23 -<br />

Fen 3 3 2 (1NF $ ) -<br />

Norf 3 3 2 (1NF) -<br />

HC 19 19 17 (2NF) -<br />

HM 20 20 20 -<br />

Met 23 23 23 -<br />

Mor 33 32 25 (7NF) (1N*) -<br />

6-AM 10 13 7(3NF) 3<br />

OC 14 25 13 (1NF) 11<br />

OM 13 23 11 (2NF) 10<br />

Total 174 197 156 (17NF) (1N) 24<br />

False Positives<br />

Eliminated<br />

Background: Amyloidosis is a rare condition characterized by deposits <strong>of</strong> insoluble<br />

proteins in <strong>the</strong> form <strong>of</strong> beta pleated sheets that interfere with <strong>the</strong> normal structure and<br />

function <strong>of</strong> varying tissues. Correct identification <strong>of</strong> amyloid subtypes is critical as<br />

<strong>the</strong> treatment and prognosis can be very different. Over 28 amyloidogenic proteins<br />

have been identified and subtyping using immunohistochemistry techniques can<br />

be misleading due to loss <strong>of</strong> epitopes, nonspecific staining, and presence <strong>of</strong> nonamyloid<br />

serum proteins. A mass spectrometry based method has been developed for<br />

accurate amyloidosis subtyping. However, <strong>the</strong> analytical method was long (> 1 hour<br />

per sample) and <strong>the</strong> MS instrument is expensive and impractical for most clinical<br />

laboratories. The goal <strong>of</strong> <strong>the</strong> current study was to develop a simplified amyloidosis<br />

subtyping method using formalin-fixed, paraffin-embedded (FFPE) tissues and a high<br />

resolution benchtop mass spectrometer.<br />

Method: Amyloid deposits were excised from hematoxylin-eosin stained sections <strong>of</strong><br />

FFPE tissues using a laser micro-dissection system (Leica LCM, Buffalo Grove, IL).<br />

The collected sample was subjected to protein extraction and trypsin digestion. The<br />

resulting peptides were separated by micr<strong>of</strong>low liquid chromatography (EASY-nLC<br />

1000, ThermoFisher <strong>Scientific</strong>) and analyzed by Q-Exactive, a bench top Orbitrap<br />

mass spectrometer (ThermoFisher <strong>Scientific</strong>). Mobile phase A was water with 0.1%<br />

formic acid, and mobile phase B was acetonitrile with 0.1% formic acid. The elution<br />

gradient was from 5% to 20% B in 20 min at a flow rate <strong>of</strong> 2 μL/min. The cycle time<br />

per injection was ~35 min. The mass spectrometer (MS) was operated in <strong>the</strong> positive<br />

electrospray mode, and 10 MS2 scans (resolution=17500) were performed after each<br />

full MS scan (resolution=35000). Retention time and molecular weight <strong>of</strong> known<br />

amyloidal peptides (n=118) were included for targeted analysis. The resulting MS raw<br />

data were searched against human IPI database using <strong>the</strong> Protein Discoverer s<strong>of</strong>tware<br />

(Version 1.3, ThermoFisher <strong>Scientific</strong>). Tolerance window was set at 10 ppm for <strong>the</strong><br />

precursors and 20 ppm for <strong>the</strong> fragments. Oxidation <strong>of</strong> methionine and methylation<br />

<strong>of</strong> lysine were used as variable modifications. All positively identified proteins were<br />

sorted by <strong>the</strong> number <strong>of</strong> matched peptide spectra, and used in <strong>the</strong> final reviewing<br />

process along with imaging data and clinical presentation.<br />

Results: A total o:f 12 amyloid samples and 18 non-amyloid samples were analyzed.<br />

As expected, serum amyloid P (SAP) and at least one apolipoprotein (ApoA-I, ApoA-<br />

IV, and ApoE) were found in all amyloid samples, and none was present in <strong>the</strong> nonamyloidal<br />

samples. SAP and ApoA-IV were <strong>the</strong> most common encountered proteins,<br />

followed by ApoA-I and ApoE. Based on MS data, in 7 samples <strong>the</strong> amyloidogenic<br />

protein was <strong>the</strong> lambda immunoglobulin light chain, in 3 samples <strong>the</strong> kappa light<br />

chains were identified as <strong>the</strong> main component, while transthyretin was identified<br />

in 2 samples. Our MS results were confirmed by ei<strong>the</strong>r immunohistochemistry<br />

staining, serum protein electrophoresis, molecular analysis for mutations involving<br />

transthyretin or an independed MS method.<br />

Conclusion: Rapid proteomic amyloid subtyping from FFPE is feasible on a benchtop<br />

MS in <strong>the</strong> clinical laboratory setting.<br />

A-183<br />

Use <strong>of</strong> Coupled Mass Spectrometric Immunoassay-Selective Reaction<br />

Monitoring (MSIA-SRM) to measure PTH and variants during<br />

Intraoperative Parathyroidectomy.<br />

E. K. Leung 1 , B. Krastins 2 , M. F. Lopez 2 , X. Yi 1 , C. C. Lee 1 , R. H. Grogan 1 ,<br />

P. Angelos 1 , E. L. Kaplan 1 , K. T. J. Yeo 1 . 1 The University <strong>of</strong> Chicago,<br />

Chicago, IL, 2 ThermoFisher Scientifi c BRIMS, Cambridge, MA<br />

Background: Intra-operative monitoring <strong>of</strong> parathyroid hormone (IOPTH)<br />

concentrations is important because it allows surgeons to perform minimally invasive<br />

parathyroid surgery with real-time assessment. The successful removal <strong>of</strong> abnormal<br />

hyper-secreting parathyroid gland causes circulating PTH to fall rapidly from preexcision<br />

concentrations in circumstances involving single adenomas. We have<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A53


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

previously observed a slower PTH decline in <strong>the</strong> Elecsys versus <strong>the</strong> Immulite assay<br />

(Lee et al. Clin Chem, 2010;56 (6):A161) and wanted to determine if this may be due<br />

to <strong>the</strong> capture and labeled antibodies used in <strong>the</strong> Elecsys PTH assay cross-reacting<br />

with <strong>the</strong> mid-molecular and/or C-terminal PTH fragment.<br />

Methods: Leftover serial EDTA plasma samples were collected from 31 patients<br />

undergoing routine single-gland parathyroidectomy procedures that were monitored<br />

using <strong>the</strong> standard-<strong>of</strong>-care Siemens Immulite Turbo® PTH assay. Aliquots were<br />

treated immediately with SigmaFAST protease inhibitor cocktail and frozen at<br />

-80°C until determination <strong>of</strong> PTH and its variants using <strong>the</strong> previously described<br />

ThermoFisher MSIA-SRM method (Lopez et al. Clin Chem. 2010 56:281-90) and <strong>the</strong><br />

Roche Elecsys® PTH STAT assay.<br />

Results: Using MSIA-SRM we quantitated 7 tryptic PTH peptides [aa1-13, aa14-20,<br />

aa28-44, aa34-44, aa35-44, aa73-80, and aa14-20(phosphorylated aa17)] and <strong>the</strong>ir<br />

respective declines were compared with Immulite and Elecsys PTH methods. The<br />

mean time-to-decline to 50% below baseline PTH (T50) values were statistically<br />

different between Immulite vs Elecsys (6.3 min vs 10.2 min, p


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-187<br />

Assessment <strong>of</strong> Hypercortisolism in Cushing’s Syndrome and Major<br />

Depressive Disorder Patients by Urinary Free Cortisol Measurement<br />

With A New LC-MS/MS Method<br />

O. Baykan 1 , H. Baykan 2 , M. Arpa 1 , F. Gerin 1 , T. Seyrekel 1 , O. Sirikci 1 ,<br />

G. Haklar 1 . 1 Marmara University School <strong>of</strong> Medicine Department <strong>of</strong><br />

Biochemistry, Istanbul, Turkey, 2 Umraniye Research and Training Hospital,<br />

Psychiatry Clinic, Istanbul, Turkey<br />

Background: Measurements <strong>of</strong> 24-h urinary free cortisol (UFC) concentration is<br />

one <strong>of</strong> <strong>the</strong> first-line tests for <strong>the</strong> diagnosis <strong>of</strong> hypercortisolism states like Cushing’s<br />

syndrome (CS). Hypothalamus-pituitary-adrenal (HPA) axis has been also found to<br />

be effected in different psychiatric disorders. Immunoassays for UFC determination<br />

which require extraction steps are susceptible to interferences and harder to<br />

standardize. Our aim was to validate a sensitive and rapid LC-MS/MS method<br />

without extraction for measurement <strong>of</strong> UFC and test its effectiveness in CS and major<br />

depressive disorder (MDD) patients.<br />

Methods: Seven CS patients, 15 MDD patients and 13 healthy volunteers were<br />

enrolled. MDD patients were assessed using <strong>the</strong> SCID-I (a structured diagnostic<br />

interview based on DSM-VI) and <strong>the</strong> Beck Depression Inventory was used to exclude<br />

depression in healthy controls (cut<strong>of</strong>f value


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

ng/ml. Accuracy was slope=1.0, intercept= -0.02; n=40, r2=0.99 compared to<br />

immunoassay (Architect, Abbott Diagnostics, Abbott Park IL), and slope=0.90,<br />

intercept=0.3; n=55, r2=0.94 compared to conventional LC-MS/MS method.<br />

Conclusion: PS/MSMS provides accurate mass spectrometry results for tacrolimus<br />

with rapid turnaround time amenable to random access testing protocols.<br />

A-191<br />

Cross validation between LDTD-MS/MS and LC-MS/MS for <strong>the</strong><br />

determination <strong>of</strong> 4 Immunosuppressant drugs in whole blood in 9<br />

seconds per samples<br />

G. Blachon 1 , P. Picard 1 , S. Auger 1 , A. Birsan 1 , J. Lacoursière 1 , K. L.<br />

Johnson-Davis 2 . 1 Phytronix Technologies, Quebec, QC, Canada, 2 ARUP<br />

Laboratories, Salt Lake City, UT<br />

A-190<br />

Rapid Identification <strong>of</strong> Bacteria and Yeast by MALDI TOF Mass<br />

Spectrometry Analysis with MYLA Data-base in a Brazilian Clinical<br />

Microbiology Laboratory<br />

J. Monteiro, M. B. Amaral, A. P. T. Lobo, J. S. Werneck, F. Boaretti, S.<br />

Tufik. Associação Fundo de Incentivo a Pesquisa (AFIP), São Paulo,<br />

Brazil<br />

Background: Matrix assisted laser desorption/ionization time-<strong>of</strong>-flight (MALDI-<br />

TOF) mass spectrometry (MS) has become a powerful tool for identification <strong>of</strong><br />

pathogens in microbiology laboratories. This technology has been reported to be a<br />

simple, fast and reliable method with a low per-sample cost. The objective <strong>of</strong> this<br />

study was to compare bacteria and yeast identification results obtained by <strong>the</strong> Vitek-<br />

MS System (bioMerieux) to <strong>the</strong> results obtained by <strong>the</strong> Vitek 2 System (bioMerieux).<br />

Methods: We analyzed 373 clinical isolates collected mostly from blood, respiratory<br />

tract, urine, wound, and fluid cultures. Clinical samples were cultivated first in<br />

Tryptcase Soy Agar with 5% <strong>of</strong> sheep blood, MacConckey and Chocolate Agar plates,<br />

and <strong>the</strong>n incubated at 35°C overnight. All <strong>the</strong> isolates were identified by MALDI-TOF<br />

mass spectrometry using <strong>the</strong> Vitek-MS System which contains <strong>the</strong> MYLA database,<br />

and by phenotypic tests using <strong>the</strong> Vitek 2 System, according to <strong>the</strong> manufacture’s<br />

recommendations.<br />

Results: A total <strong>of</strong> 373 clinical isolates, including 354 bacteria (223 Gram-negative<br />

and 131 Gram-positive) and 19 yeast (17 Candida species and two Cryptococcus<br />

ne<strong>of</strong>ormans) were tested. Out <strong>of</strong> <strong>the</strong>se 373 isolates tested, 370 (99.1%) presented <strong>the</strong><br />

same identifications when results from both systems were compared. However, 48<br />

(21.5%) Gram-negative and 21 (16%) Gram-positive bacteria had to be re-tested by<br />

<strong>the</strong> Vitek-MS to obtain satisfactory results. In <strong>the</strong> end, only three isolates <strong>of</strong> Shigella<br />

sonnei species were misidentified as Escherichia coli by <strong>the</strong> Vitek-MS. Conclusion:<br />

Our study demonstrated excellent correlations between <strong>the</strong> Vitek-MS with MYLA<br />

data-base and <strong>the</strong> Vitek 2 Systems for <strong>the</strong> identification <strong>of</strong> bacteria and yeasts clinical<br />

isolates. Most likely, <strong>the</strong> need for re-test some samples was due to an inoculation<br />

failure, which was corrected in a second inoculation attempt. The misidentification <strong>of</strong><br />

S. sonnei was probably associated to <strong>the</strong> close relatedness between this specie with<br />

E.coli. Though, improvements <strong>of</strong> <strong>the</strong> MALDI-TOF MS data-base should increase <strong>the</strong><br />

sensitivity and specificity <strong>of</strong> <strong>the</strong> identification <strong>of</strong> closely related bacteria. Based in<br />

<strong>the</strong>se results and in <strong>the</strong> recently Brazilian Health Department approval, we should be<br />

able to incorporate <strong>the</strong> Vitek-MS system into Brazilian clinical laboratories routines,<br />

in a near future.<br />

Background: Over <strong>the</strong> last decade, immunosuppressant drugs measurement<br />

techniques in whole blood have been subject to improvement <strong>of</strong> analytical methods to<br />

optimize cost, time, and accuracy <strong>of</strong> analysis results. The transfer <strong>of</strong> immunoassays to<br />

LC-MS/MS has significantly improved all <strong>the</strong>se three performance criteria but has not<br />

reduced <strong>the</strong> analytical run time below a minute. The Laser Diode Thermal Desorption<br />

(LDTD) represents a technological breakthrough that removes <strong>the</strong> chromatographic<br />

step and significantly increases <strong>the</strong> analytical throughput for <strong>the</strong> quantitation <strong>of</strong><br />

Tacrolimus, Sirolimus, Everolimus and Cyclosporin A. With this technique, all <strong>the</strong>se<br />

four immunosuppressants can be quantified simultaneously in 9 seconds from sample<br />

to sample after an easy and quick whole blood extraction.<br />

Methods: 25 μL <strong>of</strong> whole blood samples were treated with 62,5 μL <strong>of</strong> a precipitation<br />

reagent including deuterated IS. After vortex and centrifugation, 50 μL <strong>of</strong> water and<br />

125 μL <strong>of</strong> MTBE were added to <strong>the</strong> vial. A gentle vortex was applied for 30 seconds<br />

and phase separation occurred in 1 minute. 90 μL <strong>of</strong> <strong>the</strong> supernatant was mixed with<br />

10 μL <strong>of</strong> EDTA solution (200 μg/mL in H 2<br />

O:MeOH:NH 4<br />

OH (20:75:5)). 2 μL <strong>of</strong> <strong>the</strong><br />

mix was deposited on a Lazwell plate and allowed to dry. Immunosuppressant drugs<br />

were analyzed by <strong>the</strong>rmal desorption followed by positive APCI ionization. Multiple<br />

reactions monitoring was used to quantify <strong>the</strong> analytes. The method is validated and a<br />

direct comparison with established LC-MS/MS method is demonstrated.<br />

Results: The laser power pattern was optimized to control <strong>the</strong> kinetic and <strong>the</strong><br />

temperature <strong>of</strong> <strong>the</strong>rmal desorption which provides optimal signal for analysis. The<br />

laser power is ramped from 0 to 65% in 3 seconds, and maintained for 2 seconds.<br />

The APCI parameter settings are a positive corona discharge current <strong>of</strong> 3 μA, a<br />

carrier gas temperature <strong>of</strong> 30 o C and an air flow rate <strong>of</strong> 3 L/min. Through <strong>the</strong> LDTD<br />

analysis, no <strong>the</strong>rmal fragmentation <strong>of</strong> <strong>the</strong> parent compounds was observed, allowing<br />

us to use proper and reproducible [M + NH 4<br />

] + precursor ions. The QTrap system<br />

was operated in MRM mode, monitoring all 4 compounds and <strong>the</strong>ir specific IS in<br />

a single experiment with a 200 ms dwell time. The analysis time was achieved in<br />

only 9 seconds from sample to sample with no traces <strong>of</strong> carry over.The extraction<br />

procedure yields high recovery (88-92%) and low RSD (8,9%, n=6). Lower Limit<br />

<strong>of</strong> quantitation (LLOQ) was fixed at <strong>the</strong> first level <strong>of</strong> calibration reagent kit from<br />

Chromsystem ranging from 2-50 ng/mL for Sirolimus, Tacrolimus and Everolimus,<br />

and from 25-1870 ng/mL for Cyclosporine A. Over <strong>the</strong>se ranges, linearity coefficients<br />

<strong>of</strong> r= 0.994 to 0.999 were obtained. The method shows no cross-talk interference<br />

between <strong>the</strong> compounds <strong>the</strong>mselves. A set <strong>of</strong> whole blood samples containing all 4<br />

drugs was run for comparison with LC-MS/MS method. Concordance correlation<br />

coefficients between <strong>the</strong> two instrumental methods are between 0.966 to 0.997. The<br />

Passing-Bablok regression revealed no significant deviation from linearity (Cusum<br />

test, P=0.11). Bland-Altman plot showed that <strong>the</strong> mean bias <strong>of</strong> <strong>the</strong> two methods was<br />

+0.9 (1.96 SD, -19.7 to 21.6) ng/mL.<br />

A-192<br />

Direct Identification <strong>of</strong> Bacteria in Positive Blood Culture Bottles by<br />

MALDI-TOF/MS Using in-house Sample Preparation Method<br />

J. Monteiro, F. Boaretti, M. B. Amaral, J. S. Werneck, A. P. T. Lobo, S.<br />

Tufik. Associação Fundo de Incentivo a Pesquisa (AFIP), São Paulo,<br />

Brazil<br />

Background: Blood cultures (BC) remain <strong>the</strong> gold-standard method for <strong>the</strong><br />

microbiology diagnostic <strong>of</strong> bloodstream infections. A rapid bacterial identification by<br />

matrix-assisted laser desorption/ionization time-<strong>of</strong>-flight mass spectrometry method<br />

(MALDI-TOF/MS) directly from positive BC bottles could be helpful to clinicians in<br />

<strong>the</strong> timely targeting <strong>of</strong> empirical antimicrobial <strong>the</strong>rapy. The objective <strong>of</strong> this study was<br />

to evaluate <strong>the</strong> performance <strong>of</strong> <strong>the</strong> Vitek-MS system (bioMerieux) to identify bacteria<br />

isolates directly from BC bottles.<br />

Methods: We analyzed 100 aerobic BC reported as positive by <strong>the</strong> Bactec 9240<br />

automated system (BD). An aliquot <strong>of</strong> each positive BC was used to prepare a Gram<br />

stain, as well as to inoculate in two culture mediums: tryptcase soy agar with 5% <strong>of</strong><br />

sheep blood and chocolate agar. After inoculation, <strong>the</strong>se agar plates were incubated<br />

in aerobic and anaerobic atmospheres for 24-48h. Sample preparation to <strong>the</strong> Vitek-<br />

A56 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

MS was performed using an in house protocol based on a centrifugation-wash (CW)<br />

method. In parallel with <strong>the</strong> Vitek-MS direct identification, all <strong>the</strong> BC samples<br />

subcultured on agar plates were also identified using <strong>the</strong> Vitek 2 System, according to<br />

<strong>the</strong> manufacture’s recommendations.<br />

Results: One-hundred positive BC bottles were evaluated. Out <strong>of</strong> <strong>the</strong>se, 47 were<br />

identified as Gram-negative and 45 as Gram-positive bacteria. Eight <strong>of</strong> <strong>the</strong>m were<br />

negative by both, Gram stain and subculture. Among <strong>the</strong> 92 confirmed-positive blood<br />

cultures, 82 (89.1%) were correctly identified to <strong>the</strong> species level by <strong>the</strong> Vitek-MS,<br />

4 (4.3%) had an incorrect ID by <strong>the</strong> Vitek-MS and 6 (6.5%) had no ID at all. Among<br />

<strong>the</strong> six not identified and <strong>the</strong> four misidentified samples by <strong>the</strong> Vitek-MS, six were<br />

identified as coagulase-negative Staphylococci (CNS), one as S. pneumoniae, two as<br />

E. faecium and one as S. aureus by <strong>the</strong> Vitek 2 System.<br />

Conclusion: The results <strong>of</strong> this study showed that both CW method and Vitek-MS<br />

technology used toge<strong>the</strong>r were able to accurately identify all <strong>of</strong> <strong>the</strong> Gram negative<br />

strains evaluated. However, some failures were observed on <strong>the</strong> Gram positive cocci<br />

identification using <strong>the</strong>se both methods toge<strong>the</strong>r. The Vitek-MS, thus, provides a<br />

rapid result (< 30 minutes) for bacterial identification directly from BC that can be<br />

useful in clinical practices. So, future studies should address <strong>the</strong> Gram-positive cocci<br />

identification failures in order to improve <strong>the</strong> sensibility <strong>of</strong> this test.<br />

A-193<br />

A Rapid and Selective MS/MS Method for <strong>the</strong> Measurement <strong>of</strong><br />

Testosterone in Human Serum in 10 Seconds, Using Laser Diode<br />

Thermal Desorption (LDTD) Ionization<br />

M. J. Y. Jarvis 1 , P. Picard 2 , S. Auger 2 , G. Blachon 2 , E. McClure 1 . 1 AB SCIEX,<br />

Concord, ON, Canada, 2 Phytronix Technologies Inc., Quebec, QC, Canada<br />

Background: For Research Use Only. Not For Use In Diagnostic Procedures. It has<br />

been well established that liquid chromatography-tandem mass spectrometry (LC-<br />

MS/MS) provides excellent accuracy, precision and sensitivity for measurements<br />

<strong>of</strong> steroids in biological matrices compared to traditional techniques such as<br />

immunoassays, which may suffer from cross-reactivity. However, a limitation <strong>of</strong> LC-<br />

MS/MS for steroid research is <strong>the</strong> comparatively low throughput <strong>of</strong> <strong>the</strong> measurements,<br />

due to <strong>the</strong> need for chromatographic separations.<br />

Methods: In this work we present a rapid method for <strong>the</strong> measurement <strong>of</strong> testosterone<br />

in human serum using a combination <strong>of</strong> Laser Diode Thermal Desorption (LDTD)<br />

ionization, differential ion mobility spectrometry, and tandem mass spectrometry.<br />

LDTD ionization enables rapid sample analysis <strong>of</strong> less than 10 seconds per sample.<br />

The use <strong>of</strong> <strong>the</strong> SelexION differential ion mobility spectrometry (DMS) device<br />

filters out potential interferences prior to detection by tandem mass spectrometry,<br />

ensuring that <strong>the</strong> presence <strong>of</strong> isobaric interferences in <strong>the</strong> sample will not result in<br />

overestimation <strong>of</strong> testosterone levels, and <strong>the</strong>refore eliminating <strong>the</strong> need for liquid<br />

chromatography separation.<br />

Sample preparation consisted <strong>of</strong> a simple liquid-liquid extraction <strong>of</strong> serum or plasma,<br />

followed by dry-down and reconstitution <strong>of</strong> <strong>the</strong> sample in a mixture <strong>of</strong> methanol and<br />

water. 5uL <strong>of</strong> <strong>the</strong> final sample extract was spotted and dried in a 96-well LazWell plate<br />

prior to analysis by LDTD-DMS-MS/MS.<br />

Results: To confirm <strong>the</strong> validity <strong>of</strong> <strong>the</strong> method, a comparison study was performed<br />

by analysing a set <strong>of</strong> 24 anonymized serum samples (i) by LC-MS/MS, and (ii)<br />

by LDTD-DMS-MS/MS. The measured concentrations varied by less than 10%<br />

(accuracies ranged from 90-110%) for <strong>the</strong> two methods across <strong>the</strong> entire sample set.<br />

The method exhibited a linear response over <strong>the</strong> concentration range from 0.1 ng/mL<br />

to 100 ng/mL <strong>of</strong> testosterone, with %CV


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

Results: Good linearity and reproducibility were obtained with <strong>the</strong> concentration<br />

range <strong>of</strong> 1 pg/ml to 1000 ng/ml for <strong>the</strong> Total Thyroids and 1 pg/ml to 2000 pg/ml<br />

for <strong>the</strong> Free Thyroids. The best lower limits <strong>of</strong> detection (LLOD) were achieved in<br />

positive mode for LLE and SPE extraction for <strong>the</strong> total thyroids at 1pg/ml for T4, 0.5<br />

pg/ml for T3 and 2.5 pg/ml for rT3 and T2 respectively while <strong>the</strong> LLOD for <strong>the</strong> free<br />

thyroids were comparable at 2.5 pg/ml for T4, 1 pg/ml for T3 and 5 pg/ml for rT3 and<br />

T2 with equilibrium dialysis showing slightly better overall background. The intraand<br />

inter-day CV’s were < 7% and between 2% to 8% respectively for all analytes for<br />

<strong>the</strong> best extraction techniques. The methods were compared using measurements from<br />

Standard reference material (SRM 971) from NIST and submitted samples.<br />

Conclusion: A sensitive, simple, specific and accurate liquid chromatographytandem<br />

mass spectrometry method was developed and validated for <strong>the</strong> simultaneous<br />

measurement <strong>of</strong> Free and Total Thyroid hormones in human serum. The best sample<br />

preparation techniques were LLE and SPE for <strong>the</strong> Total Thyroid and equilibrium<br />

dialysis for Free Thyroid analysis since <strong>the</strong>y gave <strong>the</strong> best sensitivity and ease <strong>of</strong> use.<br />

Positive ESI mode gave better results by a factor <strong>of</strong> 5 to 10 fold in both Free and Total<br />

Thyroids depending on <strong>the</strong> analyte.<br />

A-196<br />

Use <strong>of</strong> Maldi-TOF in a Brazilian Clinical Laboratory: Comparison<br />

<strong>of</strong> Bacterial Identification TAT with Conventional Automated<br />

Methodology<br />

C. Garcia, R. J. Marani, D. M. Cassiano, M. L. Campos, D. L. O. Santos,<br />

C. F. A. Pereira, C. F. Teixeira. DASA, Barueri, Brazil<br />

Introduction: Currently, most clinical laboratories have automated systems used to<br />

identify microorganisms in general. One <strong>of</strong> <strong>the</strong> most used is <strong>the</strong> Vitek II (Biomerieux),<br />

which performs automated identification and susceptibility testing by colorimetric<br />

technology. Vitek MS, on <strong>the</strong> o<strong>the</strong>r hand, uses <strong>the</strong> Maldi-TOF (Matrix Assisted<br />

Laser Disorption/Ionization Time-<strong>of</strong>-Flight Mass Spectrometry) methodology and<br />

it is recognized as a great innovation in microorganisms identification. The mass<br />

spectrometry can very quickly identify pr<strong>of</strong>iles <strong>of</strong> bacterial proteins, thus enabling<br />

<strong>the</strong> characterization <strong>of</strong> most clinical significant bacteria. The reduction in <strong>the</strong> time<br />

to identification <strong>of</strong> pathogenic bacteria can contribute to a better prognosis <strong>of</strong> <strong>the</strong><br />

patients and also to decrease <strong>the</strong> total cost <strong>of</strong> <strong>the</strong> treatment, mainly in hospital acquired<br />

infections.<br />

Objective: The objective <strong>of</strong> this study was to compare <strong>the</strong> TAT until identification <strong>of</strong><br />

<strong>the</strong> new Vitek MS against <strong>the</strong> Vitek II automated system.<br />

Methodology: The purity <strong>of</strong> <strong>the</strong> samples was confirmed after cultivation in CPS<br />

chromogenic medium, (bioMerieux). After 24 hours <strong>of</strong> incubation, samples were<br />

identified in <strong>the</strong> Vitek II equipment which uses <strong>the</strong> colorimetric method, and in <strong>the</strong><br />

Vitek MS, which utilizes mass spectrometry (MALDI-TOF). The Vitek II system was<br />

evaluated after inoculation <strong>of</strong> <strong>the</strong> samples using <strong>the</strong> Vitek ID GN and GP cards, and<br />

we followed <strong>the</strong> manufacturer’s instructions concerning <strong>the</strong> inoculum preparation,<br />

incubation, reading and interpretation. We evaluated 100 bacterial species: Escherichia<br />

coli, Enterobacteriaceae (Klebsiella pneumoniae, Klebsiella oxytoca, Enterobacter<br />

aerogenes, Enterobacter cloacae, Citrobacter koseri, Citrobacter freundii, Serratia<br />

marcescens, Proteus mirabilis, Morganella morganii), non-fermenters (Pseudomonas<br />

aeruginosa, Pseudomonas fluorescens, Acinetobacter baumannii, Stenotrophomonas<br />

maltophilia, Burkolderia cepacia, Acinetobacter lw<strong>of</strong>fii), Staphylococcus aureus,<br />

Staphylococcus epidermidis, Coagulase-Negative Staphylococcus, Enterococcus<br />

faecalis and Enterococcus faecium. We captured data from <strong>the</strong> beginning <strong>of</strong> <strong>the</strong><br />

sample preparation to <strong>the</strong> final identification <strong>of</strong> <strong>the</strong> organism in both methodologies.<br />

Results: Both methods showed high agreement in <strong>the</strong> final identification result. In<br />

Vitek MS <strong>the</strong> average time <strong>of</strong> identification was 51 min compared to 266 min obtained<br />

in Vitek II, being <strong>the</strong> Maldi-TOF 82.13% quicker. For different groups <strong>of</strong> bacteria, we<br />

found <strong>the</strong> following results favoring Vitek MS: Escherichia coli, 83.03% gain in time<br />

<strong>of</strong> identification. Enterobacteria, 71.97%, non-fermenters, 85.76%, Staphylococcus<br />

spp. 86.40% and Enterococcus spp. 80.95%<br />

Conclusion: As expected, it was found that <strong>the</strong> new method used in our laboratory<br />

routine, Vitek MS, allowed a rapid and cost-effective diagnosis when compared with<br />

<strong>the</strong> cards <strong>of</strong> Vitek II. Doctors may have access to results more quickly and initiate or<br />

modify <strong>the</strong> antibiotic <strong>the</strong>rapy more effectively. Patients can benefit also from better<br />

prognosis and shorter hospital stays. It is interesting to say that <strong>the</strong> Vitek II already<br />

represented a great improvement over o<strong>the</strong>r automated or manual methodologies,<br />

making <strong>the</strong> gains obtained with <strong>the</strong> new Vitek MS even more impressive. The<br />

possibility <strong>of</strong> using <strong>the</strong> Vitek MS directly from positive blood culture will accentuate<br />

much more this advantage.<br />

A-197<br />

VALIDATION OF VITEK MS MALDI-TOF IN A ROUTINE<br />

MICROBIOLOGY LABORATORY IN BRAZIL<br />

C. Garcia, A. P. d. Takushi, A. M. R. Santos, M. L. Campos, W. Schiavo,<br />

C. F. Teixeira, C. A. G. Dias, N. Z. Maluf, C. F. d. Pereira. DASA, Barueri,<br />

Brazil<br />

Background: The introduction <strong>of</strong> matrix-assisted laser desorption ionization-time <strong>of</strong><br />

flight mass spectroscopy (MALDI-TOF) in clinical laboratories for identification <strong>of</strong><br />

bacteria and yeast is recent and promising (Khot & Fischer, 2012). The system is<br />

based on proteomic; proteins are ionized by <strong>the</strong> laser, resulting in a characteristic mass<br />

spectral pr<strong>of</strong>ile. Each bacterial isolate produces a pr<strong>of</strong>ile that is compared to those <strong>of</strong> a<br />

database <strong>of</strong> species-specific reference proteins. Evaluations by different investigators<br />

show that MALDI-TOF is highly accurate when growth from colonies developed in<br />

solid media are tested, with concordance rates varying from 80% to 95%, depending<br />

on <strong>the</strong> set <strong>of</strong> species studied (Bille 2011, Bizzini 2010, Cherkaoui 2010, Dubois 2012,<br />

Neville 2011, Seng 2009, van Veen, 2010).<br />

OBJECTIVE: To evaluate and validate <strong>the</strong> MALDI-TOF for use in a routine<br />

microbiology lab.<br />

Methods: We compared <strong>the</strong> Maldi-TOF identification <strong>of</strong> 1063 Isolates from <strong>the</strong><br />

routine laboratory, including enterobacteria and Non-fermentative gram-negative<br />

bacilli, Staphylococci, Streptococci, Enterococci, Yeasts and O<strong>the</strong>r fastidius bacteria<br />

with Conventional procedures and Vitek 2 identification.<br />

Results: Overall, agreement between conventional and Vitek MS identification was<br />

95.8% (992/1063), with some differences among groups <strong>of</strong> microorganisms: 96.1%<br />

(494/514) for enterobacteria, 98.2% (56/57) for non-fermentative gram-negative bacilli<br />

(NFGNB), 92.2% (106/115) for staphylococci, 96.7% (234/242) for streptococci/<br />

enterococci, 95.0% (96/101) for yeasts, and 85.7% (6/7) for o<strong>the</strong>r species. After <strong>the</strong><br />

repetition process included in our protocol, agreement was 98.1% (1016/1036), being<br />

98.2% (505/514), 100% (57/57), 96.5% (111/115), 98.3% (238/242), 98.0% (99/101),<br />

and 85.5% (6/7) for enterobacteria, NFGNB, staphylococci, streptococci/enterococci,<br />

yeasts, and o<strong>the</strong>r species, respectively. A total <strong>of</strong> 44 isolates showed discrepant results<br />

between conventional systems and Vitek MS. Overall, agreement was obtained after<br />

<strong>the</strong> repetition step in 24 isolates, and in o<strong>the</strong>r 14 samples <strong>the</strong> Vitek MS were consistent<br />

after <strong>the</strong> process <strong>of</strong> repetition. After <strong>the</strong> repetition step, discrepant results were verified<br />

in 20/1036 (1.93%) isolates, and were distributed in <strong>the</strong> different group <strong>of</strong> organisms<br />

as follows: enterobacteria n=9, staphylococci n=4, streptococci/enterococci n=4,<br />

yeasts n=2, and o<strong>the</strong>r organisms n=1.<br />

Conclusion: The agreement between conventional system and Vitek MS in our study<br />

was 95.8% and is similar to those observed in o<strong>the</strong>r studies. It is also important to<br />

consider that our protocol included a repetition step when a discrepancy was detected<br />

between conventional system and Vitek MS. Among 44 discrepancies originally<br />

observed, mere repetition provided agreement in 24 isolates and Vitek MS results<br />

were <strong>the</strong> same in 14 <strong>of</strong> <strong>the</strong>se. Some <strong>of</strong> <strong>the</strong> discrepancies in <strong>the</strong> group <strong>of</strong> staphylococci<br />

and streptococci/enterococci were due to a preliminary identification based on<br />

chromogenic media that was not confirmed by use <strong>of</strong> an automated system (Vitek2).<br />

After this repetition step in <strong>the</strong> process, discrepancies were limited to only 20/1036<br />

(1.93%) <strong>of</strong> <strong>the</strong> isolates. In summary, and in consonance with previous studies, we<br />

show that Vitek MS is a simple, easy to perform and accurate system for <strong>the</strong> bacterial<br />

identification, with a high potential to replace conventional phenotypic methods in <strong>the</strong><br />

clinical microbiology laboratory.<br />

A-198<br />

Ultra sensitive quantitative analysis and comparison <strong>of</strong> 5alpha-<br />

Dihydrotestosterone in serum un-derivatized and derivatized using<br />

Liquid Chromatography Triple Quadruple Mass Spectrometry with<br />

ion Funnel Technology in Positive ESI Modes.<br />

R. M. Doyle 1 , A. Szczesniewski 2 . 1 Agilent Technologies, Inc, Wilmington,<br />

DE, 2 Agilent Technologies, Inc, Schaumberg, IL<br />

Background: Dihydrotestosterone (DHT) is an androgenic sex hormone that is<br />

responsible for <strong>the</strong> development <strong>of</strong> <strong>the</strong> male external genitalia and secondary sexual<br />

characteristics particularly in <strong>the</strong> prostrate and in hair follicles. DHT has been shown<br />

to be involved in male pattern baldness in males while in females, DHT can cause<br />

<strong>the</strong> development <strong>of</strong> androgynous male secondary sexual characteristics. DHT also<br />

plays a role in prostratic cancer. An ultra sensitive quantitative analytical method was<br />

developed for Dihydrotestosteronein human serum to be able to measure its levels in<br />

men, children and women.<br />

A58 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Methods: An Agilent 6490 tandem mass spectrometer with Ion Funnel technology<br />

and an Agilent Infinity 1290 HPLC system were utilized in positive Electrospray<br />

(ESI) mode. 500 μl <strong>of</strong> human serum was used for <strong>the</strong> analysis <strong>of</strong> DHT and <strong>the</strong> sample<br />

preparation was liquid-liquid extraction. The sensitivity <strong>of</strong> <strong>the</strong> assay and <strong>the</strong> instrument<br />

was compared using derivatized and underivatized DHT to determine which gave<br />

<strong>the</strong> best response. The derivatives that were investigated included hydroxylamine,<br />

carboxymethylpyridine, picoloinic acid, etc. A Poroshell 120 EC-C18 column (2.1<br />

x 50 mm, 2.7 um) was used for one-dimensional separation with a run time <strong>of</strong> 5<br />

minutes. Quantitative analysis was performed using multiple reaction monitoring<br />

(MRM) transition pairs for each analyte and internal standard in positive mode.<br />

Results: Good linearity and reproducibility were obtained with <strong>the</strong> ultra sensitive<br />

concentration range <strong>of</strong> 10 pg/ml to 5000 pg/ml for <strong>the</strong> DHT underivatized. The<br />

lower limits <strong>of</strong> detection (LLOD) were achieved for <strong>the</strong> DHT at 5 pg/ml. The intraand<br />

inter-day CV’s were < 10% respectively for <strong>the</strong> underivatized DHT For <strong>the</strong><br />

derivatized DHT, <strong>the</strong> initial ultra sensitive concentration range <strong>of</strong> 1 pg/ml to 5000<br />

pg/ml was achieved with oxime derivatization <strong>of</strong> DHT with an LLOD <strong>of</strong> 0.5 pg/ml<br />

being obtained. The methods were compared using measurements from Standard<br />

reference material (SRM 971) from NIST and submitted samples. Fur<strong>the</strong>r analysis<br />

on <strong>the</strong> derivatives is being carried out to determine which derivative gives <strong>the</strong> best<br />

response while at <strong>the</strong> same time <strong>of</strong>fering ease <strong>of</strong> use.<br />

Conclusion: A sensitive, simple, specific and accurate liquid chromatographytandem<br />

mass spectrometry method was developed and validated for <strong>the</strong> measurement<br />

<strong>of</strong> DHT in human serum. The underivatized and derivatized DHT were evaluated and<br />

although underivatized DHT gives sensitive results, <strong>the</strong> oxime derivatized DHT is<br />

giving better sensitivity. Fur<strong>the</strong>r work is being carried out using o<strong>the</strong>r derivatives as to<br />

which reagent gives <strong>the</strong> best results.<br />

A-199<br />

Determination <strong>of</strong> urinary vanillylmandelic acid, homovanillic acid and<br />

5-hydroxyindoleacetic acid by LC-MS/MS for clinical research<br />

L. Cote 1 , R. Doyle 2 , K. McCann 3 . 1 Agilent Technologies, St-Laurent, QC,<br />

Canada, 2 Agilent Technologies, Wilmington, DE, 3 Agilent Technologies,<br />

Santa Clara, CA<br />

Background: Liquid chromatography triple quadrupole mass spectrometry (LC-<br />

MS/MS) is ideally suited for <strong>the</strong> rapid analysis <strong>of</strong> multiple analytes. A highly<br />

sensitive and specific LC/MS/MS method has been developed for <strong>the</strong> quantitation <strong>of</strong><br />

vanillylmandelic acid (VMA), homovanillic acid (HVA) and 5-hydroxyindoleacetic<br />

acid (5-HIAA) in urine. The level <strong>of</strong> creatinine in urine can also be quantified at <strong>the</strong><br />

same time.<br />

Methods: A simple sample preparation procedure involving only a dilution is used<br />

for <strong>the</strong> simultaneous determination <strong>of</strong> VMA, HVA, 5-HIAA and creatinine in urine.<br />

Calibrators were created by spiking clean urine with various concentrations <strong>of</strong> each<br />

analyte. The chromatographic system consists <strong>of</strong> a pentafluorophenyl column and a<br />

mobile phase comprised <strong>of</strong> methanol and water containing 0.2% formic acid. Quantifier<br />

and qualifier MRM transitions were monitored and deuterated internal standards were<br />

included for each analyte to ensure accurate and reproducible quantitation.<br />

Results: Chromatographic separation <strong>of</strong> all analytes is achieved in less than four<br />

minutes through <strong>the</strong> use <strong>of</strong> a pentafluorophenyl column. The described method<br />

achieves <strong>the</strong> required functional sensitivity and is capable <strong>of</strong> quantitating analytes<br />

over a sufficiently wide dynamic range with a single injection. All analytes displayed<br />

excellent linearity from 0.1 to 100 mg/L. All calibration curves displayed an R2 ><br />

0.999. Back calculated accuracies for all calibrators ranged from 92% to 115% and<br />

showed intra- and inter- day CVs below 6%.<br />

Commercially available quality control materials were used to test <strong>the</strong> accuracy and<br />

reproducibility <strong>of</strong> this method. Measurements were repeated on three separate days to<br />

assess interday reproducibility and CVs were found to be below 10%.<br />

Conclusion: A robust method for quantifying vanillylmandelic acid (VMA),<br />

homovanillic acid (HVA) and 5-hydroxyindoleacetic acid (5-HIAA) in urine with<br />

excellent reproducibility and accuracy has been developed.<br />

A-200<br />

Determination <strong>of</strong> plasma methanephrines and 3-methoxytyramine by<br />

LC-MS/MS for clinical research<br />

L. Cote 1 , C. Deckers 1 , K. McCann 2 . 1 Agilent Technologies, St-Laurent, QC,<br />

Canada, 2 Agilent Technologies, Santa Clara, CA<br />

Background: Liquid chromatography triple quadrupole mass spectrometry (LC-MS/<br />

MS) is ideally suited for <strong>the</strong> rapid analysis <strong>of</strong> multiple analytes. A highly sensitive and<br />

specific LC/MS/MS method has been developed for <strong>the</strong> quantitation <strong>of</strong> metanephrine,<br />

normetanephrine and 3-methoxytyramine in plasma. This method uses a solid phase<br />

extraction procedure for efficient sample preparation.<br />

Methods: An efficient solid phase extraction (SPE) sample preparation procedure<br />

was developed for <strong>the</strong> simultaneous extraction <strong>of</strong> metanephrine, normetanephrine<br />

and 3-methoxytyramine in plasma. Calibrators were created by spiking clean plasma<br />

with various concentrations <strong>of</strong> each analyte. The chromatographic system consists<br />

<strong>of</strong> a pentafluorophenyl column and a mobile phase comprised <strong>of</strong> methanol and<br />

water containing 0.2% formic acid. Quantifier and qualifier MRM transitions were<br />

monitored and deuterated internal standards were included for each analyte to ensure<br />

accurate and reproducible quantitation.<br />

Results: Chromatographic separation <strong>of</strong> all analytes is achieved in less than four<br />

minutes through <strong>the</strong> use <strong>of</strong> a pentafluorophenyl column. The separation <strong>of</strong> epinephrine/<br />

normetanephrine and metanephrine/3-methoxytyramine are especially critical since<br />

<strong>the</strong>se compounds share common fragments. Without proper separation by retention<br />

time, fragmentation <strong>of</strong> <strong>the</strong>se compounds can cause interferences with one ano<strong>the</strong>r and<br />

lead to inaccurate quantitation.<br />

The described method achieves <strong>the</strong> required functional sensitivity and is capable <strong>of</strong><br />

quantitating analytes over a sufficiently wide dynamic range with a single injection.<br />

All analytes displayed excellent linearity from 15 to 10000 pg/ml (0.1-50 nmol/L).<br />

All calibration curves displayed an R2 > 0.999. Back calculated accuracies for all<br />

calibrators ranged from 91% to 118% and showed intra- and inter- day CVs below<br />

6%. Commercially available quality control material was used to test <strong>the</strong> accuracy and<br />

reproducibility <strong>of</strong> this method. Measurements were repeated on three separate days to<br />

assess interday reproducibility and CVs were found to be below 10%.<br />

Conclusion: A robust method for quantifying metanephrine, normetanephrine and<br />

3-methoxytyramine in plasma with excellent reproducibility and accuracy has been<br />

developed.<br />

A-201<br />

LC/MS quantitation without <strong>the</strong> use <strong>of</strong> full, batch-wise calibration sets<br />

G. S. Rule 1 , T. L. Ohman 1 , H. J. Carlisle 1 , A. Wilson 1 , A. L. Rockwood 2 .<br />

1<br />

ARUP Laboratories, Salt Lake City, UT, 2 ARUP Laboratories- U Utah<br />

School <strong>of</strong> Medicine, Salt Lake City, UT<br />

Background: We, and o<strong>the</strong>rs, have been evaluating new approaches to calibration<br />

used for analyte quantitation by mass spectrometry. Moves continue toward improved<br />

efficiency, with accurate, precise and reliable quantitation. Cost reduction is also a<br />

major driver, particularly in <strong>the</strong> clinical healthcare setting. The objective <strong>of</strong> this study<br />

was to evaluate alternatives in achieving <strong>the</strong>se goals by eliminating use <strong>of</strong> regular,<br />

batch-wise, full calibration sets while, at <strong>the</strong> same time, continuing to monitor both<br />

method and MS instrument stability (systematic and random variability). We have<br />

explored this approach for three androgen analytes in human serum using HPLC<br />

tandem mass spectrometry. Historical calibration information is used to reduce <strong>the</strong><br />

number <strong>of</strong> calibration samples and to eliminate <strong>the</strong> use <strong>of</strong> full calibration curves.<br />

Instead, a single point calibration verifier is used to ascertain if a response factor is<br />

within acceptable limits. If within acceptable limits, this calibrator is factored into a<br />

running average response factor which is <strong>the</strong>n used for <strong>the</strong> quantitation.<br />

Methods: We compare concentrations calculated using <strong>the</strong> alternative calibration<br />

strategy with those calculated by traditional, full, batch-wise calibration. To validate<br />

<strong>the</strong> approach, patient samples were compared using <strong>the</strong> two strategies. Control charts<br />

constructed using <strong>the</strong> two strategies were also compared.<br />

Results: Use <strong>of</strong> an average response factor determined across nine analytical runs and<br />

over six days is shown to provide excellent correlation with results obtained from use<br />

<strong>of</strong> a calibration set prepared with each analytical batch (Figure). Variations on this<br />

approach are discussed.<br />

Conclusion: In this pro<strong>of</strong> <strong>of</strong> principle study, <strong>the</strong> alternative calibration strategy<br />

showed excellent correlation for patient samples when compared to <strong>the</strong> traditional<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A59


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

calibration method. Comparisons <strong>of</strong> control sample concentrations using <strong>the</strong> two<br />

calibration methods also showed excellent correlation. Comparison between control<br />

charts constructed using <strong>the</strong> two calibration methods support <strong>the</strong> validity <strong>of</strong> using this<br />

alternative calibration strategy.<br />

Conclusion: A rapid, accurate, and sensitive LC-MS/MS method for <strong>the</strong> detection and<br />

quantification <strong>of</strong> felbamate in human serum samples was validated. Sample extraction<br />

using protein precipitation is fast, requires less hands-on time than HPLC, and is<br />

easily automatable. The LC-MS/MS assay shows very good assay performance for<br />

monitoring FBM in serum, with a rapid runtime <strong>of</strong> 0.8 min per sample when using a<br />

multiplexed LC system with two channels.<br />

A-203<br />

LC-MS-MS Assay for <strong>the</strong> Rapid Quantitation <strong>of</strong> Bath Salts and<br />

Metabolites in Urine<br />

K. Thomassian, L. G. Jambor. Quest Diagnostics/Valencia, Valencia, CA<br />

A-202<br />

Felbamate Detection and Quantitation in Human Serum Using LC-<br />

MS/MS<br />

B. Boyadzhyan, K. Thomassian, L. G. Jambor. Quest Diagnostics,<br />

Valencia, CA<br />

Background: Felbamate (FBM; Felbatol ® ) is a broad-spectrum anti-epileptic<br />

drug (AED) that is used to treat refractory partial seizures in adults and partial and<br />

generalized seizures associated with Lennox-Gastaut syndrome in children. The rare<br />

but severe adverse effects <strong>of</strong> FBM; its interactions with o<strong>the</strong>r AEDs such as phenytoin,<br />

valproic acid and carbamazepine; and its variable metabolism and clearance suggest<br />

that <strong>the</strong>rapeutic drug monitoring (TDM) may be important for optimal felbamate<br />

<strong>the</strong>rapy. Traditionally, FBM levels have been monitored using HPLC methods. An<br />

LC-MS/MS method could <strong>of</strong>fer several advantages over HPLC, including better<br />

specificity, sensitivity, higher throughput, and better turnaround time.<br />

Methods: Sample extraction was performed using simple protein precipitation with<br />

0.050 mL sample and 0.940 mL <strong>of</strong> precipitating reagent (10.6:89.4 water:methanol<br />

ratio [volume:volume]) as well as felbamate-d 4<br />

as an internal standard. The analytical<br />

HPLC system was validated using 2 different columns: a Waters XBridge BEH<br />

Phenyl 2.5 mcm, 4.6 x 50 mm column and a Phenomenex Gemini C6-Phenyl 3 mcm,<br />

4.6 x 50 mm column. The binary, aqueous mobile phase consisted <strong>of</strong> water and formic<br />

acid and <strong>the</strong> organic phase consisted <strong>of</strong> acetonitrile and formic acid. Detection was<br />

performed using an AB Sciex API 4000 LC-MS/MS system with ESI interface, with<br />

positive ion electrospray and multiple reaction monitoring (MRM) mode. A gradient<br />

time program was used and two FBM m/z transitions were monitored to ensure<br />

component identity: m/z 239>178 and 239>117; <strong>the</strong> 243>182 m/z transition was<br />

monitored for <strong>the</strong> felbamate-d 4<br />

internal standard. Runtime was 2.2 min/injection, with<br />

a detection window <strong>of</strong> 0.8 min/sample. Data analysis was performed using Analyst<br />

1.5.2 s<strong>of</strong>tware. Performance <strong>of</strong> <strong>the</strong> LC-MS/MS method for detecting FBM in 40<br />

samples was compared with that <strong>of</strong> an HPLC method. The HPLC assay used 0.2 mL<br />

sample and liquid-liquid extraction, followed by 12 min HPLC detection.<br />

Results: The LC-MS/MS assay for felbamate was linear over <strong>the</strong> analytical range<br />

5-200 mcg/mL, with a correlation coefficient (r 2 ) <strong>of</strong> 0.997 compared to <strong>the</strong> HPLC<br />

method linearity <strong>of</strong> 10-200 mcg/mL. The LC-MS/MS method intra-assay and interassay<br />

imprecision (% CV) was


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

interest increases. The method <strong>of</strong> acquisition is generic and non-targeted, collecting<br />

MS/MS data for all compounds in a given sample throughout <strong>the</strong> entire LC run,<br />

whe<strong>the</strong>r known or unknown.<br />

A-206<br />

Colon Cancer Screening using an Automated, Flow Injection Tandem<br />

MS System.<br />

D. Goodenowe, W. Jin, A. Mochizuki, W. Liu, Y. Jiang, J. Hannah, Q.<br />

Zheng. Phenomenome Discoveries Inc, Saskatoon, SK, Canada<br />

Conclusion: This novel HPLC method will be a powerful tool for amino acid LC-<br />

MS(/MS) analysis in many different biochemistry applications.<br />

A-205<br />

Comprehensive toxicological screening using generic MS/MSALL acquisition on<br />

a Q-TOF Tandem Mass Spectrometer<br />

M. Jarvis 1 , J. Seegmiller 2 , J. Moshin 2 , A. M. Taylor 1 . 1 AB SCIEX, Concord,<br />

ON, Canada, 2 AB SCIEX, Foster City, CA<br />

For research use only, not for use in diagnostic procedures. Objective: Investigate <strong>the</strong><br />

use <strong>of</strong> a novel mass spectrometric acquisition for <strong>the</strong> comprehensive detection <strong>of</strong> both<br />

known and unknown compounds.<br />

Advances in Time-<strong>of</strong>-Flight (TOF) instrumentation have yielded analytical systems<br />

with <strong>the</strong> speed, sensitivity and dynamic range to be useful for rapid toxicology<br />

screening when coupled to liquid chromatography (LC). Q-TOF tandem mass<br />

spectrometer functionality enables a more selective analysis <strong>of</strong> compounds, by<br />

leveraging <strong>the</strong> enhanced specificity <strong>of</strong> LC-TOF-MS/MS measurements. Compounds<br />

<strong>of</strong> interest must be pre-selected for isolation and fragmented by MS/MS, <strong>the</strong>refore,<br />

this targeted approach does not allow performing retrospective MS/MS data analysis<br />

to identify previously unknown compounds. We present here, <strong>the</strong> application <strong>of</strong> a<br />

novel experimental technique employing MS/MSALL with sequential windowed<br />

acquisition for <strong>the</strong> comprehensive toxicological screening <strong>of</strong> urine samples, using a<br />

Q-TOF instrument.<br />

Methods:The Q-TOF data was collected 1) using a TOF-MS survey scan with IDAtriggering<br />

<strong>of</strong> up to 20 product ion scans 2) Dedicated, looped MS/MS and 3) MS/<br />

MSALL with sequential windowed acquisition. The third procedure involved each<br />

MS/MS experiment using a Q1 isolation window <strong>of</strong> 12 amu resulting in 24 MS/<br />

MS experiments to cover a mass range <strong>of</strong> 400 amu. High-resolution extracted ion<br />

chromatograms were monitored for <strong>the</strong> characteristic MS/MS fragment ions <strong>of</strong> all<br />

compounds <strong>of</strong> interest.<br />

Results:A comparison <strong>of</strong> MS/MSALL with sequential windowed acquisition versus<br />

(i) LC-TOF-MS, and (ii) targeted LC-TOF-MS/MS was performed. Using only TOF-<br />

MS, even with a small extraction window (0.010 Da), <strong>the</strong>re is still a possibility <strong>of</strong><br />

observing interferences. In spiked urine, 4 out <strong>of</strong> 15 compounds displayed interferences<br />

in <strong>the</strong> retention time window. Chromatographic separation is absolutely essential if<br />

TOF-MS alone is being used. Using TOF-MS/MS all interferences were removed<br />

from <strong>the</strong> spectra <strong>of</strong> <strong>the</strong> 4 compounds. For unambiguous identification MS/MS is<br />

required, through MS/MS extracted ion chromatograms or through library searching.<br />

We show in this example <strong>the</strong> advantage that TOF-MS/MS provides over TOF-MS.<br />

We set out <strong>the</strong>refore to show that using MS/MSALL with sequential windowed<br />

acquisition we could collect an MS and MS/MS spectrum at high resolution on every<br />

analyte in <strong>the</strong> sample. Using a Q1 isolation window <strong>of</strong> 25 Da potentially reduces<br />

<strong>the</strong> specificity gains <strong>of</strong> using high resolution mass spectrometry. In this example for<br />

opiate analysis, hydrocodone was seen to have interference from oxycodone, codeine<br />

and oxymorphone. However with <strong>the</strong> ability to adjust <strong>the</strong> Q1 isolation window in<br />

SWATH and use a narrower range, we have <strong>the</strong> ability to remove <strong>the</strong>se interferences<br />

and only extract from <strong>the</strong> data peaks that correspond to hydrocodone and codeine<br />

compounds.<br />

Conclusion:.The major advantages <strong>of</strong> this technique include: enhanced selectivity,<br />

with a reduced occurrence <strong>of</strong> false positives; <strong>the</strong> possibility <strong>of</strong> both retrospective<br />

TOF-MS and TOF-MS/MS data analysis to identify previously unknown compounds<br />

and no resultant increase in experimental cycle time as <strong>the</strong> number <strong>of</strong> compounds <strong>of</strong><br />

Background: Depleted serum levels <strong>of</strong> a novel hydroxyl polyunsaturated long-chain<br />

fatty acid (GTA-446) are present in up to 90% <strong>of</strong> colorectal cancer (CRC) subjects and<br />

<strong>the</strong> negative predictive value <strong>of</strong> normal levels is 99.95%. As such, <strong>the</strong> measurement<br />

<strong>of</strong> this analyte is now being introduced worldwide for <strong>the</strong> screening <strong>of</strong> CRC risk<br />

and subsequent early detection and monitoring follow-up. Currently, flow injection<br />

tandem mass spectrometry (FI-MS/MS) is <strong>the</strong> only validated analytical platform for<br />

measuring GTA-446 in serum. Due to <strong>the</strong> volume and distribution requirements <strong>of</strong><br />

a CRC screening test, a semi-automated system that is capable <strong>of</strong> processing >1000<br />

samples per day and which can be operated by a skilled laboratory technician is needed<br />

Methods: A FI-MS/MS system comprised <strong>of</strong> 5 components: 1) A kit containing<br />

standards, quality control samples, pre-coded sample and injection vials, and a<br />

96-well mixing plate; 2) A customized Gilson Pipetmax sample prep station; 3) A<br />

customized Gilson GX-271 autosampler and liquid delivery system; 4) An Ionics 3Q<br />

mass spectrometer; 5) Integrated s<strong>of</strong>tware, was developed and used to perform a full<br />

method validation.<br />

Results: The average %CV <strong>of</strong> <strong>the</strong> standards was under 5%. The intra-day precision <strong>of</strong><br />

<strong>the</strong> QC samples (GTA-446 in serum) was 5.6% (low, 0.600ug/ml), 5.9% (med, 1.100<br />

ug/ml), and 5.5% (high 8.000 ug/ml). Total error <strong>of</strong> <strong>the</strong> system was 11.3%. One 96-<br />

well plate is comprised <strong>of</strong> 2 MS control samples, 3 GTA-446 QC samples, 6 standard<br />

curve samples, one blank, and up to 84 patient samples. The Pipetmax could prepare<br />

one plate per hour. The GX-271 had an injection frequency <strong>of</strong>


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

CDG defects were used to characterize and establish glycan pr<strong>of</strong>iles with incomplete<br />

glycosylation. The overall pr<strong>of</strong>ile <strong>of</strong> each CDG sample was compared to <strong>the</strong> glycan<br />

pr<strong>of</strong>ile obtained from normal serum and <strong>the</strong> glycan structures were determined based<br />

on <strong>the</strong>ir ion spectra.<br />

Conclusions: The technique obviates <strong>the</strong> need for purification <strong>of</strong> specific glycoproteins<br />

from serum. The purification is simple, inexpensive and requires instrumentation<br />

commonly available in <strong>the</strong> clinical laboratory. Micr<strong>of</strong>low HPLC and positive ion<br />

mode ESI-MS maximize robustness and reproducibility. The method is applicable to<br />

<strong>the</strong> study <strong>of</strong> large cohorts <strong>of</strong> CDG patients<br />

A-208<br />

Design <strong>of</strong> experiments: a powerful technique for developing LC/MS methods<br />

M. P. Eastwood, L. J. Calton. Waters Corporation, Greater Manchester,<br />

United Kingdom<br />

Background: Traditional method development usually involves changing one<br />

parameter at a time while holding everything else constant. This can be a laborious,<br />

time consuming process that <strong>of</strong>ten relies on luck or tenacity to discover <strong>the</strong> optimal<br />

conditions. Here we discuss <strong>the</strong> use <strong>of</strong> Design <strong>of</strong> Experiments, a statistical technique<br />

for planning, conducting and analysing experimental data, for LC/MS method<br />

development.<br />

Methods: Statistical analysis <strong>of</strong> data generated using Design <strong>of</strong> Experiments is used to<br />

establish <strong>the</strong> relationship between <strong>the</strong> response being optimized and <strong>the</strong> experimental<br />

parameters being studied. These parameters may have simple, individual effects on<br />

<strong>the</strong> response or may have multiple effects that are inter-dependent on each o<strong>the</strong>r.<br />

Since each experiment is designed ma<strong>the</strong>matically, <strong>the</strong>re is statistical confidence in<br />

<strong>the</strong> results obtained and <strong>the</strong> conclusions drawn from <strong>the</strong> experiments can be clearly<br />

defined. There are three phases to developing an LC/MS method using Design <strong>of</strong><br />

Experiments. The first stage is screening <strong>the</strong> experimental parameters to identify<br />

those that affect <strong>the</strong> response to be optimized. Typically, two-level fractional factorial<br />

designs are used at this stage allowing <strong>the</strong> individual effects <strong>of</strong> parameters and any<br />

interactions between parameters to be identified. Fractional factorial designs <strong>of</strong>fer a<br />

reduction in number <strong>of</strong> samples required without losing much information.<br />

The second stage <strong>of</strong> method development is to optimize <strong>the</strong> parameters shown to have<br />

an effect on <strong>the</strong> final response. This is achieved using response surface methodology<br />

to construct a ma<strong>the</strong>matical model describing <strong>the</strong> effect <strong>of</strong> each parameter on <strong>the</strong><br />

response being optimized. From this model <strong>the</strong> optimal level for each parameter can<br />

<strong>the</strong>n be estimated. Models can also be combined to determine <strong>the</strong> best overall set<br />

<strong>of</strong> conditions for multiple compounds, making it easier to optimize methods that<br />

multiplex multiple analytes. The final stage is to assess <strong>the</strong> robustness <strong>of</strong> <strong>the</strong> optimized<br />

method. This can be evaluated using a two-level Plackett Burman experimental<br />

design, with high and low levels spanning <strong>the</strong> final optimized conditions. An assay<br />

that is considered robust will be resistant to changes to <strong>the</strong> parameters so will give<br />

similar results across <strong>the</strong> experimental design. Where a lack <strong>of</strong> robustness exists, it<br />

can be identified statistically and a tolerance range for <strong>the</strong> parameter determined.<br />

Conclusion: Design <strong>of</strong> Experiments allows LC/MS assays to be quickly and<br />

efficiently developed and optimized, producing higher quality methods in less time.<br />

A-210<br />

Sensitive LC-MS/MS Quantitation <strong>of</strong> Thyroid Hormones (T3 and T4) in Serum<br />

C. hao, H. Qiao, C. Jolliffe, S. Ye. Ionics, Bolton, ON, Canada<br />

Introduction: Thyroid hormones play an important role in many biological processes<br />

including growth and development, carbohydrate metabolism, oxygen consumption,<br />

and protein syn<strong>the</strong>sis. LC-MS/MS <strong>of</strong> thyroid hormones, Triiodothyronine (T3) and<br />

Thyroxine (T4), at low concentration levels, has shown to be superior to immunoassay<br />

and is becoming <strong>the</strong> method <strong>of</strong> choice for measurement <strong>of</strong> free T3 and T4 due to its<br />

high selectivity and sensitivity. This measurement is critical for diagnosis <strong>of</strong> thyroid<br />

disorders such as hyperthyroidism and hypothyroidism. In some cases <strong>the</strong> lack <strong>of</strong><br />

specificity <strong>of</strong> immunoassays provide inaccurate results leading to poor correlation<br />

<strong>of</strong> thyroid level with thyroid disorder. In this paper, a simple LC-MS/MS method is<br />

reported for sensitive T3 and T4 quantitation in serum.<br />

Experiments: Triiodothyronine and Thyroxine were purchased from Sigma and<br />

T3-13C6 and T4-13C6 from Cerilliant. LC-MS/MS analysis was performed on<br />

an IONICS 3Q Series 320 triple quadrupole mass spectrometer with a Shimadzu<br />

UFLCxr LC system. A 10 uL sample was loaded on a Kinetex C18 Phenyl-hexyl<br />

column (50x2.1mm, 2.6μ) at 40 °C with a gradient method at 500 uL/min: solvent B<br />

(acetonitrile with 0.1% formic acid and 5 mM NH4OAc) was kept at 5 % until 0.5<br />

min and increased to 95% at 1.6 min, washed, followed by 1.5 min post separation<br />

equilibrium. The LC cycle time was 5.0 min. The solvent A was water with 0.1%<br />

formic acid and 5 mM NH4OAc. All <strong>the</strong> solvents used are HPLC grade.<br />

Preliminary results: Results are presented for very sensitive detection <strong>of</strong> T3 and<br />

T4 in serum using negative ion mode LC-MS/MS, monitoring <strong>the</strong> MRM transitions<br />

<strong>of</strong> 650/127 and 776/127, respectively. This method takes advantage <strong>of</strong> enhanced ion<br />

sampling and ion transfer efficiency <strong>of</strong> a new triple quadrupole mass spectrometer, to<br />

yield significant advances in <strong>the</strong> limit <strong>of</strong> detection. Results show sub-pg/mL detection<br />

limits <strong>of</strong> T3 and T4 and a concentration linearity for T3 and T4 up to 700 pg/mL.<br />

Comprehensive LC-MS/MS results for <strong>the</strong> T3, T4 LOD, LOQ, linear dynamic range,<br />

accuracy and matrix effect will be discussed.<br />

A-211<br />

Use <strong>of</strong> Maldi-TOF for Identification <strong>of</strong> Anaerobic Microorganisms in a<br />

Brazilian Clinical Laboratory<br />

V. N. J. Egi, C. Garcia, C. F. A. Pereira, M. L. Campos, D. M. Cassiano, R.<br />

J. Marani, C. F. Teixeira, G. O. Reis. DASA, Barueri, Brazil<br />

Introduction: A new method for bacterial identification has recently been introduced<br />

as a complement to conventional methods to aid diagnosis, with special focus in<br />

rapidity and precision. The Maldi-TOF is an important innovation for <strong>the</strong> study <strong>of</strong><br />

macromolecules and this method performs analysis <strong>of</strong> microbial proteins generating<br />

a pr<strong>of</strong>ile that is both reproducible and stable for each bacterial species. Anaerobic<br />

bacteria are defined as microorganisms which can survive and multiply in <strong>the</strong> absence<br />

<strong>of</strong> oxygen. Anaerobic infections are usually <strong>of</strong> endogenous origin.<br />

However, despite <strong>the</strong> variety <strong>of</strong> different genera and species <strong>of</strong> <strong>the</strong> normal anaerobic<br />

microbiota, anaerobic infections are mainly caused by Bacteroides fragilis group,<br />

Peptostreptococcus<br />

spp., Pigmented Gram-Negative (Prevotella spp.) and Fusobacteria.<br />

Objective: Our goal was to evaluate Maldi-TOF - Vitek MS - as a reference resource<br />

for <strong>the</strong> identification <strong>of</strong> anaerobic bacteria in <strong>the</strong> microbiology laboratory.<br />

Methodology: Forty-nine isolates from various clinical specimens were characterized<br />

as anaerobes during <strong>the</strong> period <strong>of</strong> study. These samples were collected into<br />

Thioglycolate, plated on supplemented blood agar for anaerobic microorganisms and<br />

incubated in an anaerobic jar with an anaerobiosis generator at 37 degrees for 48<br />

hours. The obtained microorganisms, suspected <strong>of</strong> being anaerobes, were plated again<br />

on blood agar and on chocolate agar with incubation at 37 degrees for 24 hours in<br />

regular atmosphere and CO 2<br />

jars, respectively, for evidence <strong>of</strong> colonies that could<br />

grow aerobically. Only <strong>the</strong> strains that developed exclusively on supplemented blood<br />

agar plates were considered for this study. Subsequently, staining was performed by<br />

<strong>the</strong> Gram method for evaluation <strong>of</strong> bacterial morphology. This review could identify<br />

<strong>the</strong> genus. All 49 isolates were identified using Maldi-TOF methodology and <strong>the</strong><br />

results are compared.<br />

Results: The following identification was obtained with Maldi-TOF. There was 100%<br />

concordance with <strong>the</strong> genus identification by <strong>the</strong> conventional methodology.<br />

Bacteroides fragilis - 26 isolates<br />

Bacteroides vulgatus - 3 isolates<br />

Bacteroides ovatus - 3 isolates<br />

Bacteroides stercoris - 2 isolates<br />

Bacteroides uniformis - 2 isolates<br />

Bacteroides <strong>the</strong>taiotaomicron - 5 isolates<br />

Fusobacterium nucleatum - 1 isolate<br />

Prevotella spp - 2 isolates<br />

Peptostreptococcus anaerobius - 3 isolates<br />

Clostridium spp. - 1 isolate<br />

Conclusion: Maldi-TOF methodology showed 100% concordance with <strong>the</strong><br />

conventional identification at <strong>the</strong> genus level. It is not possible to assure that <strong>the</strong><br />

species identification <strong>of</strong> <strong>the</strong>se 49 strains is precise. However, Maldi-TOF is a valuable<br />

tool for quick bacteria and fungi identification, and as <strong>the</strong> literature and our data shows,<br />

it can be used to accelerate in more than 24h <strong>the</strong> anaerobic identification, contributing<br />

additionally with <strong>the</strong> species identification, that have important correlation with<br />

resistance expression.<br />

A62 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-212<br />

Comparison <strong>of</strong> Diagnostic Methods for fungi Identification.<br />

K. H. Kuriki, M. L. Campos, C. Garcia, D. M. Cassiano, C. F. A. Pereira,<br />

R. Marani, M. A. Santana. DASA, Barueri, Brazil<br />

Background: Invasive infections caused by Candida spp. are important causes <strong>of</strong><br />

morbidity and mortality. Among <strong>the</strong> species <strong>of</strong> fungi related to clinical manifestations,<br />

<strong>the</strong> gender Candida spp. is <strong>the</strong> main responsible for <strong>the</strong>m. Despite being <strong>the</strong> most<br />

commonly isolated species in superficial and invasive infections, <strong>the</strong> incidence<br />

<strong>of</strong> infections caused by non-albicans Candida is not growing in relation to its<br />

pathogenicity. Successful treatment <strong>of</strong> infections depends on identifying <strong>the</strong> type and<br />

sensitivity pattern to antifungal agents. Therefore, <strong>the</strong> rapid and specific diagnosis is<br />

critical to <strong>the</strong> early introduction <strong>of</strong> <strong>the</strong> correct <strong>the</strong>rapy.<br />

Objective: The objective <strong>of</strong> this study was to evaluate <strong>the</strong> fastest and best diagnostic<br />

method considering <strong>the</strong> clinical importance, epidemiological and laboratory infections<br />

caused by Candida spp.<br />

Material and methods: Samples with suspected infection were sent to <strong>the</strong> laboratory<br />

for confirmation <strong>of</strong> diagnosis. After growth, <strong>the</strong> characterization was confirmed<br />

by <strong>the</strong> Gram method. All cultures were isolated from Chromogenic Candida Agar<br />

medium and incubated at 37 degrees for 24 hours for isolation and differentiation<br />

<strong>of</strong> <strong>the</strong> larger species <strong>of</strong> Candida spp. Afterwards, confirmation was performed<br />

by <strong>the</strong> identification method API 20 AUX, (Biomerieux), used as a diagnostic<br />

test and confirmed by MALDI-TOF mass spectrometry to complete <strong>the</strong> study. We<br />

evaluated 119 samples <strong>of</strong> Candida spp., 2 Cryptococcus spp. and 2 Trichosporon spp.<br />

Results: Through <strong>the</strong> chromogenic method we identified 110 species <strong>of</strong> Candida<br />

spp., and 9 non-albicans. Through API 20 AUX and MALDI-TOF, we identified <strong>the</strong><br />

following non-albicans Candida:<br />

Candida parapsilosis - 52 specimens<br />

Candida tropicalis - 27 specimens<br />

Candida glabrata - 18 specimens<br />

Candida guilhermondii - 5 specimens<br />

Candida polished - 1 specimens<br />

Candida haemuloni - 1 specimens<br />

Candida krusei - 5 specimens<br />

Candida pelliculosa - 1 specimens<br />

And:<br />

Cryptococcus<br />

ne<strong>of</strong>ormans - 2 isolates<br />

Trichosporon<br />

asahi - 1 isolated<br />

Trichosporon<br />

inkin - 1 isolated<br />

The Candida albicans specimens were also identified by API 20 AUX and MALDI-TOF.<br />

Conclusions: The chromogenic method presented good efficiency to identify both<br />

albicans and non-albicans Candida. The methods used to identify non-albicans<br />

Candida (API 20 AUX and MALDI-TOF) presented similar results on <strong>the</strong>se<br />

identifications. However, <strong>the</strong> MALDI-TOF methodology identification was faster<br />

when compared to API 20 AUX.<br />

A-214<br />

ANALYSIS OF MERCURY IN BLOOD BY ICP-MS IN A BRAZILIAN<br />

LABORATORY<br />

P. C. Souza, L. M. Hanhoerster, C. F. A. Pereira. DASA, Rio de Janeiro,<br />

Brazil<br />

INTRODUCTION: Mercury is toxic to humans in both inorganic and organic<br />

compounds. The steam exists in monatomic state in elemental form (Hg0), has a<br />

high vapor pressure, is soluble in lipids and when inhaled is distributed mainly to<br />

<strong>the</strong> alveolar bed. The inorganic mercury is produced in various industrial processes.<br />

Organic compounds form salts with organic and inorganic acids and react with<br />

various organic compounds. The most used method for mercury dosage is <strong>the</strong> cold<br />

vapor generation coupled with atomic absorption spectrophotometry equipment. This<br />

methodology requires a prior preparation <strong>of</strong> <strong>the</strong> sample (digestion) and, depending on<br />

<strong>the</strong> technique used, it takes a long time to obtain test results because <strong>of</strong> <strong>the</strong> three steps<br />

involved: “digestion”, steam generation and equipment reading.<br />

OBJECTIVES: The aim <strong>of</strong> this work is to validate <strong>the</strong> ICP-MS methodology for <strong>the</strong><br />

analysis <strong>of</strong> mercury in blood.<br />

MATERIALS / EQUIPMENT: Standard: CertiPUR ® ICP multi-element standard<br />

solution VI, Merck PN: 1.10580.0100, Lot.: HC002032Internal Standard: PCI<br />

standard YtriumCertiPUR ®, Merck PN: 1.70368.0100, lot: HC116058Lyphocheck<br />

® Whole Blood Metals Control, BIORAD, Level 1, Lot: 36741Lyphocheck ® Whole<br />

Blood Metals Control, BIORAD, Level 2, Lot: 36732Blood samples Laboratory<br />

DASA - Lot routine: MESA220612 and PBSA220612Equipment ICP-MS, Agilent<br />

7700<br />

RESULTS: Test reproducibility: 20 dosages <strong>of</strong> heparin whole blood tube <strong>of</strong> <strong>the</strong> same<br />

patient.<br />

__________________________________________________________________<br />

| Sample: Pacient 8900202059 | Average = 5,0 ug/L | SD = 0,2 | CV = 3,1 % | n = 20 |<br />

¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯<br />

Test with a population <strong>of</strong> 191 samples collected in different tubes: EDTA and<br />

heparin.<br />

___________________________________________________________________<br />

| Samples: Population | Average = 1,6 ug/L | SD = 0,9 | CV = 57,9 % | n = 191 |<br />

¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯<br />

Internal controls:<br />

| BR-L1, range: 6,61 a 9,91 ug/L | Average = 7,0 ug/L | SD = 0,8 | CV = 12,0 % | n = 4 |<br />

¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯<br />

| BR-L2, range: 15,3 a 31,2 ug/L | Average = 17,6 ug/L | SD = 1,5 | CV = 8,3 % | n = 4 |<br />

¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯<br />

CONCLUSION: ICP-MS method proved adequate for analysis <strong>of</strong> mercury in whole<br />

blood. The test reproducibility was within a safe range, with CV <strong>of</strong> 3.1%. Controls,<br />

both lower and higher, comparing to <strong>the</strong> <strong>the</strong> reference range, scored within <strong>the</strong> limits<br />

set by <strong>the</strong> manufacturer (± 2 SD). The results for a random population <strong>of</strong> 191 patients<br />

had an average <strong>of</strong> 1.6 ug / L, mostly within <strong>the</strong> limits established by <strong>the</strong> literature – up<br />

to 10.0 ug / L. The analysis time <strong>of</strong> ICP-MS is shorter than atomic absorption because<br />

<strong>the</strong>re is no need to execute <strong>the</strong> initial steps <strong>of</strong> digestion and steam generation.<br />

A-215<br />

Quantification <strong>of</strong> Testosterone from Dried Blood Spots using Liquid<br />

Chromatography Tandem Mass Spectrometry<br />

R. Mathieu, C. Riley, C. Wiley. PAML, Spokane, WA<br />

Introduction: The use <strong>of</strong> <strong>the</strong> Dried Blood Spot (DBS) card as a screening method<br />

for various endogenous compounds is not a new concept in laboratory medicine; it<br />

has been used for a number <strong>of</strong> years in various capacities for a number <strong>of</strong> tests. With<br />

<strong>the</strong> advent <strong>of</strong> and improved sensitivities <strong>of</strong> LC-MS/MS technology <strong>the</strong>se instruments<br />

provide <strong>the</strong> sensitivity required to perform testing on steroids extracted from DBS<br />

cards. The goal <strong>of</strong> this study was to create a simple extraction method that could<br />

be easily integrated into <strong>the</strong> current serum LC-MS/MS method without sacrificing<br />

sensitivity or specificity.<br />

Methods: Advance D x100<br />

Technology (ADX) cards were selected as a result <strong>of</strong><br />

<strong>the</strong>ir ability separate <strong>the</strong> cellular material from <strong>the</strong> serum component <strong>of</strong> whole<br />

blood in cellulose matrix. The cards were inoculated with 200μl <strong>of</strong> patient sample<br />

and processed by adding a 230μl modified 0.1% BSA to a test tube followed by <strong>the</strong><br />

addition <strong>of</strong> <strong>the</strong> 3/8” (14.8mm) square punched from <strong>the</strong> card to <strong>the</strong> tube. Samples<br />

were allowed to sit at room temperature for 12 -24 hours. Following incubation <strong>the</strong><br />

samples were processed in <strong>the</strong> same manner as <strong>the</strong> serum testosterone samples, with<br />

<strong>the</strong> addition <strong>of</strong> 20 μL <strong>of</strong> 5ng/mL a deuterated internal standard, and <strong>the</strong> addition <strong>of</strong> 500<br />

μl <strong>of</strong> an extraction reagent containing 90% Hexane, 10% MTBE.<br />

Preliminary Data: In our study we used 108 previously tested patient samples,<br />

105 male, 3 female samples; no distinction was made as to condition or age <strong>of</strong> <strong>the</strong><br />

patient. The DBS samples were tested against <strong>the</strong> known serum value and <strong>the</strong> data<br />

analyzed using Micros<strong>of</strong>t Excel. Samples were extracted, prepped and injected onto<br />

a Shimadzu 20AD, Prominence HPLC system coupled to an AB SCIEX Triple Quad<br />

5500 mass spectrometer. MRM chromatograms were acquired in positive ion mode<br />

under <strong>the</strong> following conditions: declustering voltage 180V, dry temperature <strong>of</strong> 300°C,<br />

curtain gas 10 psi and a dwell time <strong>of</strong> 150 msec. DBS samples were run against <strong>the</strong><br />

same curved used to quantify serum testosterone. The standard curve consists <strong>of</strong> 7<br />

points (5.1, 12, 39, 296, 444, 666 & 1000 ng/ml). Our stated criteria for acceptability<br />

for <strong>the</strong> calibration curve is >0.997. Preliminary data demonstrated that <strong>the</strong> lower limit<br />

<strong>of</strong> quantification for testosterone from dried blood spots was 25.0 ng/dL. Correlation<br />

between <strong>the</strong> DBS and serum samples was found to have r 2 values <strong>of</strong> 0.95, 0.93 and<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A63


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

0.91 across three separate studies over 3 successive days. Within run precision was<br />

carried out using 5 unique samples in replicates <strong>of</strong> n=9 ranging from 17 - 91 ng/ml <strong>the</strong><br />

greatest CV% observed was 8.3%. The results were found to be linear when evaluated<br />

using EP Evaluator Accuracy and Linearity module. The DBS samples had a linear<br />

regression <strong>of</strong> y=0.906x+3.496.<br />

Conclusion: Preliminary validation studies have demonstrated that it is possible to<br />

accurately quantify testosterone from DBS specimens.<br />

A-216<br />

Maximizing Triple Quadrupole Mass Spectrometry Productivity<br />

Through <strong>the</strong> Automated Use <strong>of</strong> an Expanded Dual-Channel HPLC<br />

System with Online Sample Cleanup<br />

K. McCann, S. Nene, D. McIntyre, E. Neo, D. Nagtalon. Agilent, Santa<br />

Clara, CA<br />

Background:Liquid chromatography triple quadrupole mass spectrometry (LC/MS/<br />

MS) is ideally suited for <strong>the</strong> direct, rapid analysis <strong>of</strong> prepared biological samples.<br />

However, a user is <strong>of</strong>ten interested in only a portion <strong>of</strong> <strong>the</strong> total data collected by<br />

an LC/MS/MS system typically analyzed serially. This work explores <strong>the</strong> ability to<br />

increase mass spectrometer productivity through <strong>the</strong> automated use <strong>of</strong> an expanded<br />

dual channel high performance liquid chromatography (HPLC) system with an online<br />

sample cleanup option. New system control s<strong>of</strong>tware is capable <strong>of</strong> orchestrating <strong>the</strong><br />

timing <strong>of</strong> all HPLC components and coordinating <strong>the</strong> analytical utilization <strong>of</strong> <strong>the</strong> mass<br />

spectrometer.<br />

Methods:The complete, integrated LC/MS/MS system is comprised <strong>of</strong> a triple<br />

quadrupole mass spectrometer coupled to a configurable HPLC system, all controlled<br />

by a single s<strong>of</strong>tware application. For <strong>the</strong> purposes <strong>of</strong> this work, <strong>the</strong> expanded HPLC<br />

system consists <strong>of</strong> a high-capacity autosampler, four binary pumps, four HPLC<br />

columns, two temperature-controlled column compartments and three switching<br />

valves. To operate <strong>the</strong> system, a standard data file collected by LC/MS/MS is loaded<br />

into <strong>the</strong> s<strong>of</strong>tware. The data analysis method is extracted from <strong>the</strong> data file and a<br />

window <strong>of</strong> interest is specified using <strong>the</strong> data file’s chromatogram. Based on that<br />

information, <strong>the</strong> s<strong>of</strong>tware automatically coordinates all timing related to running <strong>the</strong><br />

HPLC system.<br />

Results:The analysis <strong>of</strong> 25-hydroxy vitamin D2 and D3 (25-OH D) is a common<br />

clinical research application analyzed by LC/MS/MS where sample throughput is a<br />

major concern. A previously developed LC/MS/MS method for <strong>the</strong> analysis <strong>of</strong> <strong>the</strong>se<br />

analytes was used for testing <strong>the</strong> capabilities <strong>of</strong> this new instrument. The standard<br />

method uses an autosampler, two binary pumps, two HPLC columns, one temperaturecontrolled<br />

column compartment and one switching valve to perform online sample<br />

cleanup during <strong>the</strong> analysis. With a runtime <strong>of</strong> 5 minutes, <strong>the</strong> analytes <strong>of</strong> interest reach<br />

<strong>the</strong> mass spectrometer between approximately 2 minutes to 4 minutes. Hence, more<br />

than 50% <strong>of</strong> <strong>the</strong> data collected by <strong>the</strong> mass spectrometer is <strong>of</strong> no interest.<br />

The standard method utilizes what is considered a single HPLC stream. The expanded<br />

HPLC system mirrors certain components <strong>of</strong> this single stream system to provide<br />

a second stream, operating in parallel to <strong>the</strong> first stream. By loading <strong>the</strong> standard<br />

method and window <strong>of</strong> interest into <strong>the</strong> automation s<strong>of</strong>tware, <strong>the</strong> s<strong>of</strong>tware is able<br />

to determine <strong>the</strong> most efficient method <strong>of</strong> injecting and analyzing a list <strong>of</strong> 25-OH D<br />

samples without any user configuration necessary. By staggering injections on parallel<br />

streams and switching between <strong>the</strong> two streams at <strong>the</strong> appropriate time, throughput <strong>of</strong><br />

<strong>the</strong> integrated expanded system can double <strong>the</strong> throughput achieved with <strong>the</strong> standard<br />

method.<br />

Conclusion:Fully automated s<strong>of</strong>tware controlling a completely integrated LC/<br />

MS/MS system with expanded dual-channel HPLC capable <strong>of</strong> online cleanup for<br />

increased throughput has been developed.<br />

Vitamin E (Alpha-, Delta-, Gamma-Tocopherol) and vitamin K (Phylloquinone)<br />

are essential nutrients required for normal body functioning that ei<strong>the</strong>r cannot be<br />

syn<strong>the</strong>sized by <strong>the</strong> body at all or in significant amounts. These vitamins are acquired<br />

from <strong>the</strong> diet. However, <strong>the</strong>se compounds can also be toxic in large doses. Therefore,<br />

a simple and accurate quantitative analytical method was developed to quantitatively<br />

measure <strong>the</strong>se water and fat soluble vitamins in human serum.<br />

Methods: An Agilent 6460 tandem mass spectrometer with Jet Stream technology in<br />

positive Electrospray mode and an Agilent Infinity 1260 HPLC system were utilized<br />

for this analysis. 100 ml <strong>of</strong> human serum was used for <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> Fat and<br />

Water Soluble vitamins and <strong>the</strong> sample preparation involved liquid-liquid extraction<br />

(LLE) with MTBE for <strong>the</strong> Fat Soluble Vitamins and a simple protein crash for <strong>the</strong><br />

Water Soluble vitamins in buffer. An Agilent Poroshell 120 SB-Aq, 100 x 2 mm,<br />

2.7 um with water:methanol containing 0.1% formic acid gradient achieved baseline<br />

chromatographic separation <strong>of</strong> <strong>the</strong> water soluble vitamins. An Agilent Poroshell 120<br />

EC-C18, 100 x 2 mm 2.7 um water:methanol containing 0.1% formic acid gradient<br />

achieved baseline chromatographic separation <strong>of</strong> <strong>the</strong> fat soluble vitamins. Quantitative<br />

analysis was performed using multiple reaction monitoring (MRM) transition pairs<br />

for each analyte and internal standard in positive mode and accuracy <strong>of</strong> <strong>the</strong> method<br />

was verified using reference materials from Recipe and UTAK and serum and blood<br />

adult samples.<br />

Results: Good linearity and reproducibility were obtained with <strong>the</strong> all <strong>the</strong> vitamins<br />

across <strong>the</strong>ir respective ranges. The lower limits <strong>of</strong> detection (LLOD) were achieved at<br />

well below <strong>the</strong>ir respective clinical ranges. The intra- and inter-day CV’s were < 10%<br />

respectively for all <strong>the</strong> vitamins.<br />

Conclusion: A sensitive, simple, specific and accurate liquid chromatographytandem<br />

mass spectrometry method was developed and validated for <strong>the</strong> measurement<br />

<strong>of</strong> water and fat soluble vitamins in serum and blood. The sample preparation is quick<br />

and easily applied for high throughput analysis.<br />

A-218<br />

Reducing <strong>the</strong> Hematocrit Effect for Dried Blood Spot Analysis<br />

J. Wright, I. Valmont, J. Hill, J. Hill. Spot On Sciences, Austin, TX<br />

Background: Dried blood spot (DBS) sampling methods are increasingly used due<br />

to many advantages over conventional venipuncture collection including reduced<br />

sample processing and infrastructure needs, ambient temperature shipment with no<br />

cold chain requirement and improved sample stability. Hematocrit levels in human<br />

blood vary due to gender, disease state, age and medications and can impact <strong>the</strong> spread<br />

and size <strong>of</strong> <strong>the</strong> blood spot, which causes discordance in analytical quantitation.<br />

Methods: Hematocrit levels <strong>of</strong> 25, 35, 45, 55 and 65% were prepared by adding<br />

or removing plasma in fresh human whole blood. These samples were spiked with<br />

common drugs tolbutamide, nefedipine and ramipril and 80μL was spotted on TFN<br />

filter paper (Munktell) and on HemaForm fan-shaped filter paper forms (Figure<br />

1). After air drying overnight, punches (4 mm) were removed from <strong>the</strong> TFN spots. A<br />

blade was removed from <strong>the</strong> HemaForm sample.Each sample (n=3) was extracted in<br />

MeOH:H2O containing deuterated internal standards for 30 minutes with sonication<br />

and analyzed by LC-MS/MS.<br />

Results: With traditional blood spots, a trend was observed with increased drug levels<br />

recovered from higher hematocrit levels; this is likely due to decreased overall spot<br />

size from more viscous samples at higher hematocrit levels. HemaForm samples<br />

showed a more consistent recovery from all hematocrit levels. Additionally, variability<br />

between replicates (%CV) was reduced with HemaForm samples as compared to<br />

traditional spots.<br />

Conclusion: HemaForm fan-shaped filter paper can reduce analytical variability due<br />

to hematocrit effects for dried blood spot samples.<br />

A-217<br />

Quantitative analysis <strong>of</strong> <strong>the</strong> major Water and Fat soluble Vitamins<br />

in serum using Liquid Chromatography Triple Quadruple Mass<br />

Spectrometry<br />

R. M. Doyle. Agilent Technologies, Inc, Wilmington, DE<br />

Background: The major water vitamins such as Vitamin B1 (Thiamine), Vitamin B2<br />

(Rib<strong>of</strong>lavin), Vitamin B3 (Nicotinic acid and Nicotinamide), Vitamin B5 (Panto<strong>the</strong>nic<br />

Acid), Vitamin B6 (Pyridoxal Phosphate, Pryidoxine), Vitamin B7 (Biotin), Folic Acid,<br />

Vitamin B12 (Cobalamin), and <strong>the</strong> fat soluble vitamins such as Vitamin A (Retinol)<br />

A64 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Mass Spectrometry Applications<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Figure 1:<br />

HemaForm and Traditional Blood Spot<br />

A-219<br />

Quantitative analysis <strong>of</strong> Prostaglandin F2-Alpha and its metabolites<br />

in urine using Liquid Chromatography Triple Quadruple Mass<br />

Spectrometry<br />

R. M. Doyle. Agilent Technologies, Wilmington, DE<br />

Background: Prostaglandin F2-Alpha (PGF-2a) is involved in <strong>the</strong> induction <strong>of</strong><br />

labor and its metabolites are an indicator <strong>of</strong> lipid peroxidation from free radical<br />

generation. It’s metabolites are also biomarkers for <strong>the</strong> quantitation <strong>of</strong> endometriosisassociated<br />

oxidative stress, oxidative damage and antioxidant deficiency. The<br />

quantitation <strong>of</strong> PGF-2A and its metabolites require specific chromatography to<br />

separate all <strong>the</strong> clinically relevant analytes as well as sensitive enough to achieve <strong>the</strong><br />

low concentrations associated with biological samples. Therefore, we developed a<br />

sensitive and specific method for <strong>the</strong> separation and detection <strong>of</strong> PGF-2a, 8-Iso-PGF-<br />

2a, 15-(R)-PGF-2a, 11-beta-PGF-2a, 13, 14-Dihydro-15-Keto-PGF-2A and o<strong>the</strong>r<br />

metabolites in human urine to be able to measure <strong>the</strong> analytes accurately.<br />

Methods: An Agilent 6460 tandem mass spectrometer with Jet Stream technology in<br />

positive Electrospray mode and an Agilent Infinity 1260 HPLC system were utilized<br />

for this analysis. 200 ul <strong>of</strong> human urine was used for <strong>the</strong> analysis <strong>of</strong> PGF-2a and<br />

its metabolites and <strong>the</strong> sample preparation involved liquid-liquid extraction (LLE)<br />

with prior acidification. Various columns were evaluated for maximum separation<br />

to achieve baseline chromatographic separation <strong>of</strong> all <strong>the</strong> metabolites in less than<br />

6 minute run time. Quantitative analysis was performed using multiple reaction<br />

monitoring (MRM) transition pairs for each analyte and internal standard in negative<br />

mode and accuracy <strong>of</strong> <strong>the</strong> method was verified using in house controls and urine adult<br />

samples.<br />

Results: Good linearity and reproducibility were obtained with <strong>the</strong> concentration<br />

range <strong>of</strong> 0.1 ng/ml to 500 ng/ml for all <strong>the</strong> analytes with a coefficient <strong>of</strong> determination<br />

>0.99. The lower limits <strong>of</strong> detection (LLOD) and lower limit <strong>of</strong> Quantitation (LLOQ)<br />

were determined to be at least 0.05 ng/ml.<br />

Conclusion: A sensitive, simple, specific and accurate liquid chromatographytandem<br />

mass spectrometry method was developed and validated for <strong>the</strong> simultaneous<br />

measurement <strong>of</strong> PGF-2a and its metabolites in urine.<br />

A-220<br />

DOSAGE OF METALS IN URINE BY ICP-MS: PERFORMANCE<br />

EVALUATION<br />

P. C. Souza, L. M. Hanhoerster, C. F. A. Pereira. DASA, Rio de Janeiro,<br />

Brazil<br />

INTRODUCTION: The dosage <strong>of</strong> metals has been widely discussed by many<br />

scientific studies. In recent decades, dosage <strong>of</strong> metals such as Al, Cr, Mn, Ni, Co,<br />

Cu, Zn, Cd, Sn, Hg and Pb in biological fluids has gained a lot <strong>of</strong> strength because<br />

<strong>of</strong>occupational exposure in several industries). These markers can provide information<br />

for effective control <strong>of</strong> exposure, use <strong>of</strong> individual protection devices and improving<br />

<strong>the</strong> work environment.<br />

Classically, Atomic Absorption Spectrometry (AAS) has been shown to be widely<br />

used, due to <strong>the</strong> large number <strong>of</strong> studies carried out, reflecting <strong>the</strong> high accuracy and<br />

sensitivity <strong>of</strong> <strong>the</strong> methodology.<br />

AAS turned into a very slow solution because <strong>the</strong> process requires <strong>the</strong> dosage to be<br />

done one element at a time. In contrast, <strong>the</strong> dosage <strong>of</strong> metals by Inductively Coupled<br />

Plasma Mass Spectrometer (ICP-MS) becomes very attractive. In a single dosage<br />

all <strong>the</strong> elements <strong>of</strong> interest can be quantified, without modifiers and without prior<br />

digestion <strong>of</strong> <strong>the</strong> samples. Besides <strong>the</strong> rapid detection, this method delivers a much<br />

higher sensitivity comparing with AAS, reaching easily amounts in parts per trillion<br />

(ng/L), aiming for a new clinical interest - Orthomolecular medicine.<br />

OBJECTIVES: The aim <strong>of</strong> this work is to validate <strong>the</strong> ICP-MS methodology for <strong>the</strong><br />

analysis <strong>of</strong> 11 simultaneous elements in urine. A simple dilution <strong>of</strong> samples with a<br />

simple standard linear curve permit <strong>the</strong> analyses <strong>of</strong> a large number <strong>of</strong> urine samples<br />

with 11 simultaneous elements (Cr, Mn, Ni, Co, Cu, Zn,Ar, Cd, Sn, Pb, Hg ). The<br />

analytical run for each sample is also very short - one and half minutes.<br />

MATERIALS / EQUIPMENT: Standard: CertiPUR ® ICP multi-element standard<br />

solution VI, Merck PN: 1.10580.0100, Lot.: HC002032Internal Standard: PCI<br />

standard YtriumCertiPUR ®, Merck PN: 1.70368.0100, lot: HC116058Lyphocheck<br />

® Urine Metals Control, BIORAD, Level 1, Lot: 69151Lyphocheck ® Urine Metals<br />

Control, BIORAD, Level 2, Lot: 69152Urine samples Laboratory DASA - Lot<br />

routine: METU 080213Equipment ICP-MS, Agilent 7700RESULTS:<br />

Routine analysis <strong>of</strong> metals in urine from 228 patients by <strong>the</strong> methodology <strong>of</strong> ICP-MS<br />

Element ………..| Cr | Mn | Ni | Co | Cu | Zn | As | Cd | Sn | Hg | Pb |<br />

Average (ug/L) |2,17 |1,70|3,57|0,48|15,56|557,25|16,57|0,36|0,58|1,12|3,39|<br />

ControlLevel1..| 1,27|8,42|3,5|7,46|12,9|437|52,4|10,0| CQI*|38,8|11,3|<br />

ControlLevel2..| 23,7|21,0|25,2|22,7|42,6|943|160,6|17,9| CQI*|101,4|55,5<br />

IQC = Internal Quality Control ,Sn not available inLyphocheck Urine Metals BIORAD<br />

CONCLUSION: From <strong>the</strong> data above, we can easily demonstrate <strong>the</strong> superiority <strong>of</strong><br />

ICP-MS. With only one machine, 2,500 tests can be processed in just 5 hours and 47<br />

minutes. The dosage <strong>of</strong> this number <strong>of</strong>testswith AAS methodology would demand<br />

more than 10 simultaneous devices, with<br />

many different reagents. It is evident <strong>the</strong> superiority <strong>of</strong> ICP-MS, faster, more efficient<br />

and sensitive, <strong>of</strong>fering a remarkable performanceand earning its place in <strong>the</strong> dosage<br />

<strong>of</strong> metals in biological samples.<br />

A-221<br />

Validation <strong>of</strong> a multiplex proteomic mass spectrometry method for<br />

identification <strong>of</strong> cerebrospinal fluid<br />

J. W. Meeusen, D. Barnidge, P. Ladwig, R. Karras, J. Katzmann, M. Snyder,<br />

D. Murray. Mayo Clinic, Rochester, MN<br />

Background: Detection <strong>of</strong> cerebrospinal fluid (CSF) in clinical specimens is <strong>the</strong> most<br />

sensitive method for diagnosis <strong>of</strong> central nervous system fistulas. The current methods<br />

rely on detection <strong>of</strong> a single marker for CSF and have limitations in <strong>the</strong> presence <strong>of</strong><br />

serum contamination.<br />

Objectives: (1) To establish a mass spectrometry method to identify CSF and serum<br />

protein biomarkers in samples <strong>of</strong> undetermined origin. (2) To compare ß2-transferrin<br />

(ß2-Tf) detection by electrophoretic immun<strong>of</strong>ixation to multiplexed proteomic mass<br />

spectrometry for <strong>the</strong> identification <strong>of</strong> CSF in clinical samples.<br />

Methods: A LC-MS/MS multiplex assay for <strong>the</strong> detection <strong>of</strong> CSF (ß-trace protein)<br />

and serum (α2-macroglobulin, complement C3) specific markers in trypsin<br />

digested samples was developed based on selective reaction monitoring <strong>of</strong> unique<br />

peptides. The LC-MS/MS method was analytically validated by comparison with<br />

nephelometric quantitation <strong>of</strong> ß-trace, α2-macroglobulin and complement C3 in CSF/<br />

serum mixtures. CSF detection by <strong>the</strong> ß2-Tf immun<strong>of</strong>ixation and multiplexed mass<br />

spectrometry methods were compared using both CSF/serum mixtures and clinical<br />

specimens.<br />

Results: Serial dilutions <strong>of</strong> pooled CSF (total protein


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Mass Spectrometry Applications<br />

dL), and 21.8% for complement C3 (147mg/dL). Method comparison between LC-<br />

MS/MS, nephelometry and ß2-Tf was performed in 16 otolaryngological secretions<br />

with sufficient volume for all tests. All ß2-Tf results were unequivocal; seven<br />

samples were found to be positive with a mean ß trace <strong>of</strong> 23.2mg/L by nephelometry<br />

(4.2x105cps; range 7.8x104 3.0x105cps [LC-MS/MS]), The mean ß trace was<br />

0.7mg/L (6.9x103cps; 6.4x102 1.8x104cps [LC-MS/MS]) for <strong>the</strong> nine ß2-Tf negative<br />

samples. Serum protein biomarkers were undetectable in <strong>the</strong> ß-trace/ß2-Tf positive<br />

samples. Finally, samples for CSF determination by ß2-Tf immun<strong>of</strong>ixation with<br />

known clinical histories were analyzed blindly by LC-MS/MS. Discordant results<br />

were followed up with <strong>the</strong> clinical history.<br />

Conclusions: The semi-quantitative identification <strong>of</strong> CSF by multiplex mass<br />

spectrometry agreed with nephelometric quantitation and was capable <strong>of</strong> detecting<br />

20% CSF in serum which is a significant improvement over ß2-Tf immun<strong>of</strong>ixation.<br />

Serum contamination can lead to equivocal ß2 Tf immun<strong>of</strong>ixation results. The ability<br />

to evaluate <strong>the</strong> amount <strong>of</strong> serum in <strong>the</strong> sample expands <strong>the</strong> clinical utility <strong>of</strong> <strong>the</strong> LC-<br />

MS/MS method.<br />

A-222<br />

Method validation <strong>of</strong> 1-hydroxypyrene in urine by liquid<br />

chromatography/tandem mass spectrometry<br />

C. Lin, Y. Huang, Y. Huang, T. Wu, H. Ning, J. Lu. Chang-Gung Memorial<br />

Hospital, Taoyuan, Taiwan<br />

Background: Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous and formed<br />

from incomplete burning <strong>of</strong> coal, oil, gas, wood, tobacco or charcoal broiled meat.<br />

Most <strong>of</strong> general population is exposed to PAHs from different sources. PAHs are own<br />

to be cytotoxic; however <strong>the</strong> dose-response relationship for adverse health effects<br />

due to <strong>the</strong> exposure is not known. 1-Hydroxypyrene (1-OHP) is <strong>the</strong> major metabolite<br />

<strong>of</strong> polycyclic aromatic hydrocarbons. It is useful to monitor <strong>the</strong> 1-OHP in urine to<br />

evaluate individual exposure. The purpose for this study was to develop a method by<br />

liquid chromatography-tandem mass spectrometry (LC-MS/MS) to determine 1-OHP<br />

in urine specimens.<br />

Methods: The 1-OHP standard was obtained by AccuStandard and prepared in<br />

methanol. The internal standard 1-OHP-D9 was obtained from Toronto Research<br />

Chemicals. Urine specimens and controls are hydrolyzed with beta-glucuronidase<br />

enzyme solution at pH 4.5 for 1 hour at 37 o C to convert <strong>the</strong>1-OHP to <strong>the</strong>ir free forms<br />

and increase sensitivity. Deuterated analogs <strong>of</strong> <strong>the</strong> 1-hydroxypyrene are added as<br />

internal standards (IS) to <strong>the</strong> enzyme treated patient urine, controls, and standards.<br />

1-OHP was separated from <strong>the</strong> biological fluid using solid phase extraction (SPE).<br />

The elution solvent was injected into a LC-MS/MS (Thermo Fisher <strong>Scientific</strong> TSQ<br />

VANTAGE). The concentration <strong>of</strong> analyte(s)was calculated from <strong>the</strong> calibration curve<br />

and ion ratios between <strong>the</strong> analyte(s) and <strong>the</strong> internal standards.<br />

Results:The calibration curves obtained with human urine were linear with a<br />

correlation coefficient <strong>of</strong> over 0.98 in <strong>the</strong> range <strong>of</strong> 0- 2000 pg/mL. The coefficient<br />

variation for inter- and intra-day precision was within 15% at two different<br />

concentrations: 100, and 400 pg/mL. There was no carryover observed in this assay,<br />

with <strong>the</strong> high concentration <strong>of</strong> 2000 pg/mL. To evaluate accuracy, drug-free urine<br />

was pooled and used a matrix to spike 6 samples with 1-OHP. The recovery is 95%.<br />

Conclusion: Urine 1-OHP testing can be a useful approach in evaluating individual<br />

exposure to PAHs. We provide an option to quantify <strong>the</strong> 1-OHP concentration in urine<br />

by LC-MS/MS.<br />

A66 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-223<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Immunology<br />

Clinical Evaluation <strong>of</strong> Total and High Avidity Anti-dsDNA Antibody<br />

EIA for <strong>the</strong> Diagnosis <strong>of</strong> Systemic Lupus Ery<strong>the</strong>matosis<br />

P. Wan 1 , S. Zhou 2 , H. Cao 1 , W. Li 1 , T. Prestigiacomo 2 , J. Zheng 1 . 1 Shanghai<br />

Jiaotong University, Shanghai, China, 2 Bio-Rad Laboratories, Hercules,<br />

CA<br />

Background: Anti-dsDNA antibodies have been well recognized as a diagnostic<br />

marker <strong>of</strong> systemic lupus ery<strong>the</strong>matosus (SLE). The clinical utility <strong>of</strong> anti-dsDNA<br />

antibody avidity in disease management has been evaluated in previous studies, with<br />

conflicting results. This study is to investigate <strong>the</strong> clinical utility <strong>of</strong> total (high and low<br />

avidity) and high avidity anti-dsDNA antibodies in an enzyme-linked immunosorbent<br />

assay (EIA).<br />

Methods: 221 sera from SLE patients, 51 sera from patients with various o<strong>the</strong>r<br />

autoimmune diseases including Sjögren’s syndrome, dermatomyositis, scleroderma<br />

and rheumatoid arthritis, and 159 sera from healthy subjects were collected. Modified<br />

SLE disease activity index (M-SLEDAI) was calculated for SLE patients at <strong>the</strong> time<br />

<strong>of</strong> serum collection. Clinical data were obtained independently <strong>of</strong> <strong>the</strong> laboratory<br />

analyses and later related to <strong>the</strong> anti-dsDNA antibody test findings. All 431 sera<br />

were measured using five different formats <strong>of</strong> anti-dsDNA EIA kits. Two kits are<br />

commercially available at Bio-Rad Laboratories and <strong>the</strong> o<strong>the</strong>r three are research use<br />

only kits. The different formats <strong>of</strong> assay kits are characterized by different antigen<br />

sources and assay conditions: two kits were designed for detecting total (high and<br />

low avidity) anti-dsDNA IgG antibodies, two kits for measuring high avidity antidsDNA<br />

IgG antibodies and one for detecting anti-dsDNA antibodies <strong>of</strong> both IgG<br />

and IgM isotypes. The diagnostic sensitivity and specificity, positive and negative<br />

likelihood ratio (LR+, LR-), and positive and negative predictive values (PPV and<br />

NPV) were calculated for each assay format. The agreements and linear regression<br />

between different formats <strong>of</strong> anti-dsDNA EIA tests were calculated and <strong>the</strong> correlation<br />

<strong>of</strong> anti-dsDNA antibody levels with disease activity and clinical manifestations were<br />

analyzed. Statistic analysis was performed using Analyse-it ® s<strong>of</strong>tware.<br />

Results: High avidity EIA tests have fewer false positives, especially in o<strong>the</strong>r<br />

autoimmune disease control group (8/51 vs 1/51 and 6/51 vs 2/51). The overall<br />

agreement and linear regression (R 2 ) between <strong>the</strong> different assay formats ranged<br />

from 83.3% to 94.0% and from 0.42 to 0.96, respectively, depending mainly on<br />

<strong>the</strong> antibody avidity and immunoglobulin classes. The total and high avidity antidsDNA<br />

antibody levels have significant correlation with disease activity (M-SLEDAI,<br />

spearman analysis, P4 or with active<br />

kidney damage (t-test, P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

first. ASO-PCR with <strong>the</strong> CDR3-JH primer set generated approximately 90 bp<br />

PCR products that were detected by agarose gel electrophoresis, fragment analysis<br />

and quantitative real time PCR. Similar experiments were performed using bone<br />

marrow cells from patients with multiple myeloma with M-components <strong>of</strong> various<br />

immunoglobulin isotypes.<br />

Results: The detection limit <strong>of</strong> clonal B cells by each technique was determined<br />

by serial dilutions and mixing <strong>of</strong> <strong>the</strong> B cell line or bone marrow cells from patients<br />

with multiple myeloma with normal human peripheral blood mononuclear cells; and<br />

B cell or myeloma cDNA serial dilutions and mixing with human placental DNA.<br />

Methods with consensus primers had a detection limit <strong>of</strong> 10 -3 for tumor cells both with<br />

agarose gel electrophoresis and Genescan detection, while <strong>the</strong> sensitivity <strong>of</strong> ASO-RT-<br />

PCR was 10 -4 with both detection methods. ASO-RT-PCR was able to detect IgMproducing<br />

clonal B cells or multiple myeloma cells at a limit <strong>of</strong> 10 -6 . The specificity<br />

<strong>of</strong> ASO primers was tested on human mononuclear cells from healthy controls and<br />

multiple myeloma patients. The lack <strong>of</strong> PCR products in <strong>the</strong>se controls indicated <strong>the</strong><br />

specific annealing <strong>of</strong> <strong>the</strong> primers, indicating high specificity.<br />

Conclusion: ASO-RT-PCR is a more sensitive molecular method for <strong>the</strong> detection <strong>of</strong><br />

minimal residual disease than techniques using consensus primers only. The optimized<br />

ASO-RT-PCR personalized medicine test has potential as a tool for <strong>the</strong> detection and<br />

monitoring <strong>of</strong> minimal residual disease in patients with multiple myeloma.<br />

Acknowledgement: This study was supported by <strong>the</strong> Robert E. Wise, M.D. Research<br />

and Education Institute.<br />

A-227<br />

Evidence for hybrid light chain IgG4 molecules in normal human<br />

serum.<br />

E. Young, E. Lock, A. Cook, G. Wallis. The Binding Site Group Ltd,<br />

Birmingham, United Kingdom<br />

Background: Human IgG4 molecules are dynamic and have been shown to exchange<br />

half molecules to become bi-specific antibodies in a process termed Fab-arm<br />

exchange. Bi-specific molecules cannot cross-link antigen nor elicit lymphoid cell<br />

activation. It has been proposed that this mechanism may dampen-down unnecessary<br />

inflammatory responses. Here we show that polyclonal IgG4 antibodies with kappa or<br />

lambda light chains can similarly exchange resulting in hybrid asymmetrical IgG4κ/λ<br />

antibodies.<br />

Methods and Results: Polyclonal IgG4 was purified from a pooled human plasma<br />

source (Bio<br />

Products Ltd) by affinity chromatography on IgG4 Select and sequentially fractionated<br />

into ei<strong>the</strong>r IgG4κ or IgG4λ. It was found that a substantial portion <strong>of</strong> purified IgG4<br />

(approx. 40%) possessed both kappa and lambda light chains and could not be<br />

fractionated by light chain specificity. Size exclusion chromatography<br />

showed that this material was composed <strong>of</strong> principally immunoglobulin monomers<br />

(150 kDa) and a much lower level <strong>of</strong> aggregates <strong>of</strong> higher molecular weight. The<br />

monomers were collected and analysed by ELISA and SDS-PAGE immunoblotting.<br />

Analytical antibodies different to those used during <strong>the</strong> purification process were<br />

employed to rule out idiotypic false positives. The results clearly indicated that<br />

IgG4 proteins containing different light chains on <strong>the</strong> same molecule were present.<br />

Based on <strong>the</strong> molecular weight <strong>the</strong>se molecules were formed <strong>of</strong> 2 IgG4 heavy chains<br />

(non-identical?) plus 1 kappa and 1 lambda light chain. Polyclonal IgG depleted<br />

<strong>of</strong> IgG4 (mainly IgG1 and 2) was purified using Mabselect SuRe and similarly<br />

fractionated according to light-chain specificity. No evidence <strong>of</strong> hybrid IgG κ/λ<br />

antibodies was observed. This would rule out <strong>the</strong> possibility that <strong>the</strong> hybrid lightchain<br />

immunoglobulins had been generated by in vitro processing, and suggests that<br />

<strong>the</strong>y are restricted to IgG4 subclass molecules. The analytical extraction procedure<br />

was repeated on normal serum from multiple individual donors. Hybrid IgG4κ/λ<br />

antibodies were found to be present in all <strong>of</strong> <strong>the</strong>m.<br />

Conclusions: These results have unambiguously demonstrated that hybrid<br />

asymmetrical IgG4κ/λ antibodies are present in normal (non-immunised) human<br />

serum. This is a logical outcome from <strong>the</strong> process <strong>of</strong> ‘Fab-arm’ exchange in vivo. The<br />

clinical significance <strong>of</strong> this has yet to be determined, however assays that measure<br />

IgG kappa and lambda serum levels and ratios are likely to produce discordant results.<br />

This possibility should be considered when interpreting <strong>the</strong>se assay results.<br />

A-228<br />

In vitro Allergy Testing: Correlating IgE levels Among All Allergens<br />

J. S. Kaptein, C. E. Lin, B. J. Goldberg. Sou<strong>the</strong>rn California Permanente<br />

Medical Group, Los Angeles, CA<br />

Background: Allergic reactions are believed to be mediated by IgE. Clinical in vitro<br />

testing is available for IgE against about 500 allergens comprising grass, weed, and<br />

tree pollens, animal and insect products, molds, foods, and o<strong>the</strong>rs. It is impractical<br />

to test for all <strong>of</strong> <strong>the</strong>se. Moreover, <strong>the</strong> result for one test may be related to <strong>the</strong> result<br />

<strong>of</strong> ano<strong>the</strong>r test. This report delineates <strong>the</strong> relationships between IgE levels to various<br />

allergen pairs.<br />

Methods: Patient data from in vitro testing using ImmunoCAP® technology in a<br />

major Sou<strong>the</strong>rn California medical organization were extracted from instrument log<br />

files. Approximately 2.5 million test results were examined covering a 4.5 year span.<br />

Allergens were paired in all combinations, with all patient samples tested for any<br />

given pair being compiled, and results analyzed to determine whe<strong>the</strong>r <strong>the</strong>re was a<br />

relationship between <strong>the</strong> results for <strong>the</strong> two allergens selected. Parameters investigated<br />

include (1) <strong>the</strong> frequency <strong>of</strong> positive/negative results for <strong>the</strong> second allergen when <strong>the</strong><br />

first is positive/negative; (2) whe<strong>the</strong>r a positive/negative result for <strong>the</strong> second allergen<br />

occurs more frequently than chance when <strong>the</strong> first allergen is positive/negative; (3)<br />

slope, intercept, correlation, and symmetry when IgE levels specific for <strong>the</strong> two<br />

allergens are compared.<br />

Results: We have sufficient sample size to provide meaningful data for 10,000 pairs<br />

<strong>of</strong> allergens <strong>of</strong> <strong>the</strong> 250,000 possible pairs. Many <strong>of</strong> <strong>the</strong>se show little or no relationship<br />

between levels <strong>of</strong> IgE for <strong>the</strong> two allergens. However, at least two types <strong>of</strong> interesting<br />

relationships were revealed.<br />

The first type represents cases where levels <strong>of</strong> IgE against one allergen closely<br />

correlate to levels against <strong>the</strong> second (e.g. walnut/pecan, cockroach/shrimp/lobster/<br />

crab, carrot/celery, .....).<br />

The second type represents cases where levels <strong>of</strong> IgE against one allergen are similar<br />

to, or higher, but not less than, <strong>the</strong> levels against <strong>the</strong> second - e.g. patients with IgE<br />

against oranges have IgE directed against peanut, sesame, soybean, apple, peach and<br />

oat at least at <strong>the</strong> level to which <strong>the</strong>y have IgE directed against orange, but not all<br />

patients with IgE to <strong>the</strong>se o<strong>the</strong>r foods have IgE against orange. We interpret this as <strong>the</strong><br />

allergenic component(s) <strong>of</strong> oranges being present in <strong>the</strong>se o<strong>the</strong>r foods, but <strong>the</strong> o<strong>the</strong>r<br />

foods having additional allergenic component(s) not found in oranges.<br />

Additionally, we find combinations <strong>of</strong> <strong>the</strong>se two types. IgE levels against carrot and<br />

celery correlate, however <strong>the</strong> allergenic component(s) in <strong>the</strong>se are subsets <strong>of</strong> those in<br />

birch pollen.<br />

Conclusion: This study correlates results <strong>of</strong> in vitro specific IgE tests among various<br />

allergens with results for 10,000 pairs <strong>of</strong> allergens now available. Pairs <strong>of</strong> related<br />

allergens and allergens whose components are subsets <strong>of</strong> o<strong>the</strong>r allergens are presented.<br />

Knowing <strong>the</strong>se patterns may help elicit <strong>the</strong> cause <strong>of</strong> some allergies - e.g. shrimp<br />

allergy without any prior exposure, due to cockroach or dust mite exposure. It also<br />

helps patients know which o<strong>the</strong>r allergens to avoid when known to be reactive to a<br />

specific allergen. Additionally, it points out redundancies in clinical testing (especially<br />

among <strong>the</strong> grass pollens) which has cost-savings implications.<br />

A-229<br />

Multi-center Evaluation <strong>of</strong> New Free Light Chain Methods<br />

W. K. Gentzer 1 , T. B. Ledue 2 , V. Luzzi 3 , R. H. Christenson 4 . 1 Siemens<br />

Healthcare Marburg, Marburg, Germany, 2 Foundation for Blood Research,<br />

Scarborough, ME, 3 Henry Ford Hospital, Detroit, MI, 4 University <strong>of</strong><br />

Maryland School <strong>of</strong> Medicine, Baltimore, MD<br />

Background: The International Myeloma Working Group has provided consensus<br />

guidelines for <strong>the</strong> use <strong>of</strong> immunoglobulin free light chain (FLC) determinations in <strong>the</strong><br />

diagnosis and management <strong>of</strong> clonal plasma cell disorders. We describe preliminary<br />

repeatability, linearity, reference range, and method comparison data for two new<br />

immunoassays designed for <strong>the</strong> detection <strong>of</strong> free Ig light chains type kappa and<br />

lambda in serum and plasma. In addition, we investigated samples from patients with<br />

kidney impairment for <strong>the</strong>ir FLC content.<br />

Methods: Latex-enhanced mouse monoclonal antibody reagents from Siemens for<br />

free Ig light chain type kappa (N Latex FLC kappa)* and free Ig light chain type<br />

lambda (N Latex FLC lambda)* were assayed on three BN II Systems and three BN<br />

ProSpec ® Systems using serum samples. Precision studies were carried out according<br />

to CLSI guideline EP5A-2 to estimate repeatability performance <strong>of</strong> three sample<br />

A68 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

pools and two controls each for kappa and lambda, using up to three independent<br />

reagent and calibrator lots at <strong>the</strong> four test sites. Linearity was evaluated by calculating<br />

<strong>the</strong> recovery <strong>of</strong> repetitions performed at higher or lower dilutions compared to <strong>the</strong><br />

results obtained with <strong>the</strong> default dilutions. Reference ranges were conducted using<br />

397 clinical samples from apparently healthy adults (aged 16-89 years). Qualitative<br />

method comparison studies using 314 samples from patients with diagnoses <strong>of</strong><br />

multiple myeloma, amyloidosis, Waldenström’s macroglobulinemia, monoclonal<br />

gammopathy <strong>of</strong> undetermined significance, polyclonal immunoglobulin stimulation,<br />

or renal disease were performed at two U.S. sites against commercially available FLC<br />

methods for <strong>the</strong> BN II system. Statistical analysis used concordance tables and <strong>the</strong><br />

kappa statistic.<br />

Results: ANOVA studies for between-site, between-lot, and total precision for kappa<br />

on BN II system were 1.1-2.1%; 2.0-3.1%; and 3.7-5.2%, respectively. On <strong>the</strong> BN<br />

ProSpec system, <strong>the</strong> corresponding kappa results were 2.6-5.2%; 2.4-4.8%; and 3.6-<br />

6.9%. Lambda results on <strong>the</strong> BN II system were 0.4-3.7%; 3.5-7.8%; and 6.2-9.1%;<br />

on <strong>the</strong> BN ProSpec system, lambda results were 1.8-2.5%; 1.2-5.6%; and 4.3-7.7%.<br />

In terms <strong>of</strong> linearity, <strong>the</strong>re were 78 kappa and 117 lambda data sets available for<br />

analysis. For kappa 89% and for lambda 97% <strong>of</strong> <strong>the</strong> repeats recovered within ±20%<br />

<strong>of</strong> <strong>the</strong> initial value. Reference range studies resulted in κ/λ ratios <strong>of</strong> 0.19/0.87/1.74<br />

(min/median/max). Method comparison studies resulted in <strong>the</strong> following: Site 1<br />

analyzed 139 samples and revealed concordance rates <strong>of</strong> 89.9% for kappa, 77.0% for<br />

lambda, and 91.4% for <strong>the</strong> κ/λ ratio. The results at Site 2 based on 175 samples were<br />

88.6%, 81.7%, and 89.1%, respectively. Combining <strong>the</strong> data revealed concordance<br />

rates <strong>of</strong> 89.2%, 79.6%, and 90.1%. N Latex FLC results for 57 patients with kidney<br />

impairments ranged from 14.1-208 mg/L for kappa and 15.1-228 mg/L for lambda,<br />

respectively, and resulted in a κ/λ ratio distribution <strong>of</strong> 0.43/0.78/1.46 (min/median/<br />

max).<br />

Conclusion: The new FLC methods performed well under routine laboratory<br />

conditions on both BN platforms.<br />

* Not available for sale in <strong>the</strong> U.S.<br />

A-230<br />

Analysis <strong>of</strong> factors associated with indeterminate results <strong>of</strong> whole<br />

blood interferon-γ release assay during routine hospital use<br />

O. Lee 1 , S. Kee 1 , H. Choi 1 , M. Shin 1 , J. Shin 1 , B. Park 2 , S. P. Suh 1 , D.<br />

Ryang 1 . 1<br />

Department <strong>of</strong> Laboratory Medicine, Chonnam National<br />

University Hospital and Medical School, Gwangju, Korea, Republic <strong>of</strong>,<br />

2<br />

Mokpo National University, Muan, Korea, Republic <strong>of</strong><br />

Background: Interferon gamma release assay (IGRA) is an in vitro diagnostic assay,<br />

which is an alternative to replace in vivo tuberculin skin test for detection <strong>of</strong> latent<br />

tuberculosis infection and tuberculosis. However, higher rates <strong>of</strong> indeterminate<br />

results can limit <strong>the</strong> performance <strong>of</strong> <strong>the</strong> IGRA in a variety <strong>of</strong> immunosuppressive<br />

conditions. The aim <strong>of</strong> this study was to determine which factors were associated with<br />

indeterminate results <strong>of</strong> whole blood IGRA in a large cohort <strong>of</strong> patients.<br />

Methods: A retrospective cross-sectional study was performed on patients with<br />

determinate results versus patients with indeterminate results. We recruited 4,442<br />

patients consecutively submitted to QuantiFERON-TB Gold-In Tube assay (Cellestis,<br />

Australia) during routine practice from March 2009 to October 2012 at <strong>the</strong> Chonnam<br />

National University Hospital. Clinical and laboratory information <strong>of</strong> <strong>the</strong> patients was<br />

collected.<br />

Results: Of 4,442 patients tested for QuantiFERON-TB Gold-In Tube assay, 4,024<br />

(90.6%) were determinate and 418 (9.4%) indeterminate. In univariate analysis,<br />

younger age (


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

Results: Combylite and summated Freelite showed equivalence in both CKD<br />

(PB slope y=0.95x - 1.35mg/L, n=515) and CVD (y=0.97x + 3.19mg/L, n=300)<br />

populations. The assay showed good agreement with summated Freelite in identifying<br />

patients with elevated cFLC (>43.3mg/L) in CKD (PPV:97% NPV:67%) and CVD<br />

(PPV:93% NPV:92%) populations. The precision <strong>of</strong> <strong>the</strong> Combylite assay at a<br />

concentration close to <strong>the</strong> upper limit <strong>of</strong> <strong>the</strong> normal range (53.98mg/L) was: total CV<br />

5.5%; within run 2.1%; between run 2.9%; and between day 4.2%. In a second CKD<br />

population (n=1275), CVD mortality was significantly associated with elevated cFLC<br />

(hazard ratio (HR) =3.10, p


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

The lower detection limit for KL-6 was 12 U/mL, and <strong>the</strong> upper quantitation limit was<br />

5000 U/mL. No prozone effect was observed in KL-6 samples <strong>of</strong> concentrations from<br />

5000 through 16000 U/mL. The within-run C.V. (n=10) at 380 U/mL, 850 U/mL, and<br />

2100 U/mL was 0.5%, 0.7%, and 0.4%, respectively. The between-run C.V. (n=10)<br />

at 380 U/mL, 850 U/mL, and 2100 U/mL was 0.4%, 1.4%, and 1.9%, respectively.<br />

Interference studies showed no effect <strong>of</strong> bilirubin, hemoglobin, rheumatoid factor<br />

(RF), formazin turbidity at concentrations <strong>of</strong> 20 mg/dL, 500 mg/dL, 500 IU/dL, and<br />

2000 respectively.<br />

Comparison <strong>of</strong> our assay kit with <strong>the</strong> approved IVD reagent, <strong>the</strong> principle <strong>of</strong> which<br />

is enzyme immunoassay, yielded a correlation coefficient <strong>of</strong> 0.981 and an equation<br />

<strong>of</strong> Y (present method) = 0.99X (<strong>the</strong> ELISA kit) - 5.88 (n = 109 serum specimens).<br />

Also, good correlation was obtained between serum and plasma (r:0.999 ;<br />

slope:0.96;intercept:-6.2).<br />

We concluded that this assay reagent provides an accurate, precise, and simple method<br />

for routine measurement <strong>of</strong> KL-6 levels in serum and plasma samples.<br />

A-238<br />

Activation and Regulation <strong>of</strong> TLR1, TLR2 and TLR6 <strong>of</strong> PBMC in<br />

patients with ovarian cancer<br />

Y. Wen, S. Pan, J. Xu, B. Gu, M. Zhang, W. Zhao, Y. Jiang, L. Huang, R.<br />

Sun, F. Wang. <strong>the</strong> First Affi liated Hospital <strong>of</strong> Nanjing Medical University,<br />

Nanjing, China<br />

Background: Recent studies implicated inflammation in <strong>the</strong> initiation and progression<br />

<strong>of</strong> cancer, though <strong>the</strong> potential mechanisms <strong>of</strong> this effect were still not clear. The Tolllike<br />

receptors (TLRs), and <strong>the</strong>ir intracellular pathway were not only associated with<br />

<strong>the</strong> inflammatory process, but also key regulators in cancer progression. The abnormal<br />

expression <strong>of</strong> TLRs could promote chronic inflammation and cancer cells survival<br />

in <strong>the</strong> tumor microenvironment. We hypo<strong>the</strong>sized that cancer cells could affect <strong>the</strong><br />

inflammatory microenvironment providing fur<strong>the</strong>r support for cancer progression,<br />

which may be mediated by abnormal TLRs expression in infiltrating immune cells.<br />

Methods: We analyzed TLR1-9 mRNA expression <strong>of</strong> human peripheral blood<br />

mononuclear cells (PBMCs) using quantitative real-time PCR. Assessment <strong>of</strong><br />

expression levels for TLR1, TLR2 and TLR6 in PBMCs by flow cytometry. Cytokine<br />

bead array kit was used to quantitatively measure cytokine in <strong>the</strong> culture supernatant<br />

collected from cells treated with TLR1, TLR2 or TLR6 ligands. Fur<strong>the</strong>rmore, PBMC,<br />

SK-OV-3 co-culture system and anti-TLR1, anti-TLR2, anti-TLR6 mAb blocking<br />

experiment were used to explore <strong>the</strong> relationship between TLR1, TLR2 or TLR6<br />

signaling and inflammation in ovarian cancer. MyD88, TRAF6, TANK, NF-κB and<br />

P-NFκB were observed by western blot.<br />

Results: Here we sought to characterize <strong>the</strong> expression pr<strong>of</strong>ile <strong>of</strong> TLRs in PBMCs<br />

from ovarian cancer patients, benign disease controls and healthy normal controls.<br />

TLR1~9 were all expressed in PBMCs from <strong>the</strong> three groups, and <strong>the</strong> expression<br />

levels <strong>of</strong> TLR2, TLR6 mRNA in patients with ovarian cancer were higher than<br />

<strong>the</strong> healthy controls. Ovarian cancer patients aslo showed increased TLR2 levels<br />

compared to benign diseases group. We found that protein expression <strong>of</strong> TLR1,<br />

TLR2, and TLR6 were elevated in monocytes from ovarian cancer patients compared<br />

to controls subiects. In concordance with <strong>the</strong> above results, <strong>the</strong>re was an observable<br />

increased induction <strong>of</strong> inflammatory cytokine interleukin interleukin-1β(IL-1β) and<br />

tumour-necrosis factor-a (TNF-α) from PBMCs upon differential stimulation by<br />

Pam3CSK4 (TLR1/2 ligand), HKLM (TLR2 ligand) and FSL-1 (TLR6 ligand) in<br />

ovarian cancer patients compared to control subjects. In <strong>the</strong> PBMCs and SK-OV-3<br />

co-culture system, we found <strong>the</strong> activation <strong>of</strong> TLRs signaling pathways, including<br />

MyD88, TRAF6, TANK, NF-κB and P-NF-κB in PBMCs, and production <strong>of</strong> IL-1β,<br />

interleukin-6 (IL-6) and TNF-a. Treatment <strong>of</strong> PBMCs with anti-TLR1, anti-TLR2<br />

or -TLR6 mAb could inhibite inflammatory cytokine production and activation <strong>of</strong><br />

MyD88, TRAF6, TANK, NF-γB and P-NF-γB.<br />

Conclusion: We provided new evidence that links TLR1, TLR2 and TLR6 signaling<br />

to inflammation in ovarian cancer. These results explained how advanced cancer cells<br />

usurp components <strong>of</strong> <strong>the</strong> host innate immune system, to generate an inflammatory<br />

microenvironment hospitable for metastatic malignancy growth.<br />

A-239<br />

Antinuclear antibodies screening: evaluation <strong>of</strong> <strong>the</strong> diagnostic accuracy<br />

<strong>of</strong> indirect immun<strong>of</strong>luorescence, ELISA and chemiluminescence<br />

immunoassays considering <strong>the</strong> clinical diagnosis as <strong>the</strong> gold-standard.<br />

F. A. Brito 1 , S. M. E. Santos 2 , G. A. Ferreira 2 , W. Pedrosa 1 , J. Gradisse 1 ,<br />

L. C. Costa 1 , S. P. F. Neves 2 . 1 Hermes Pardini, Belo Horizonte, Brazil,<br />

2<br />

Universidade Federal de Minas Gerais, Belo Horizonte, Brazil<br />

Background: Detection <strong>of</strong> antinuclear antibodies (ANA) plays an important role in<br />

<strong>the</strong> diagnosis <strong>of</strong> systemic autoimmune rheumatic diseases (ARD). Different methods<br />

such as indirect immun<strong>of</strong>luorescence assay on HEp-2 cells (IFA HEp-2), ELISA,<br />

chemiluminescence and multiplex bead-based immunoassays (MBI) can be used for<br />

ANA screening. Recently <strong>the</strong> American College <strong>of</strong> Rheumatology issued a position<br />

statement emphasizing that IFA HEp-2 should remain as <strong>the</strong> gold standard for ANA<br />

screening and that clinical laboratories using ELISA or MBI must guarantee that <strong>the</strong>se<br />

assays present similar or improved sensibility and specificity as IFA HEp-2.<br />

Methods: In this study we evaluated <strong>the</strong> diagnostic accuracy <strong>of</strong> three commercially<br />

available ELISA kits (ORGENTEC ANA Detect, QUANTA Lite ANA Elisa, IMTEC<br />

ANA Screen) and one chemiluminescent assay (LIAISON ANA Screen) for ANA<br />

detection. Clinical diagnostic was considered <strong>the</strong> gold-standard. We evaluated 143<br />

patients with established diagnosis <strong>of</strong> ARD (G1), 166 patients with infectious diseases<br />

and o<strong>the</strong>r rheumatic diseases for which ANA test is not useful in diagnosis (G2), 89<br />

outpatients with suspicion <strong>of</strong> ARD (G3) and 134 healthy subjects (G4). All assays<br />

were performed as recommended by <strong>the</strong> manufactures, except that indeterminate<br />

results were considered positive. Samples were classified as IFA HEp-2 positive if a<br />

well-defined IFA pattern was identified at 1:80 dilution by two observers.<br />

Results: The sensitivity, calculated in G1, was 87.4% for IFA HEp-2 and varied<br />

between 62.9% and 90.0% for o<strong>the</strong>r tests. The specificity, calculated in G2, was 72.3%<br />

for IFA HEp-2 and varied between 45.2% and 90.4% for o<strong>the</strong>r tests.<br />

The agreement <strong>of</strong> <strong>the</strong> tests with <strong>the</strong> IFA HEp-2 ranged from regular to moderate<br />

(kappa 0,395 to 0,581). No significant differences in areas under <strong>the</strong> ROC curve<br />

(0,895 for IFA and 0,807 and 0,897 for o<strong>the</strong>r tests) were found among <strong>the</strong> different<br />

assays. The diagnostic odds ratio was 18.5 for IFA HEp-2, and varied from 9.8 and<br />

31.0 for o<strong>the</strong>r tests. Of 18 IFA HEp-2 negative samples in G1, from 66.7% to 77.8%<br />

were positive in <strong>the</strong> most sensitive ELISA. Moreover, <strong>the</strong> antibody concentrations<br />

<strong>of</strong> <strong>the</strong>se samples were associated with positive likelihood ratios > 5 for ARD. The<br />

frequency <strong>of</strong> positive results <strong>of</strong> IFAH Ep-2 in G4 was 13.5%, and 6.0% to 36.0%<br />

for o<strong>the</strong>r tests. The sensitivity and specificity <strong>of</strong> IFA HEp-2 in G3 was 92.0% and<br />

57.8%, while for o<strong>the</strong>r tests ranged between 76.0% and 100% and 26.6% and 89.1%,<br />

respectively. The negative predictive value was 92.5% for IFA and varied between<br />

89.3% and 100% for o<strong>the</strong>r tests.<br />

Conclusion: Some ELISA kits have comparable or superior diagnostic sensitivity to<br />

IFA HEp-2 and could be used as an alternative method for ANA screening, especially<br />

for large-scale ANA testing general laboratories in which <strong>the</strong> majority <strong>of</strong> ANA results<br />

are negative, <strong>the</strong>refore allowing <strong>the</strong> immediate report <strong>of</strong> <strong>the</strong> results with fewer false<br />

negatives than IFA HEp-2. Owing to <strong>the</strong> lower specificity, ELISA positive samples<br />

should be submitted to IFA HEp-2 for confirmation <strong>of</strong> results, determination <strong>of</strong> <strong>the</strong><br />

title and <strong>the</strong> fluorescence pattern.<br />

A-240<br />

Analytical and Clinical Comparison <strong>of</strong> Two Fully Automated<br />

Immunoassay Systems for <strong>the</strong> Diagnosis <strong>of</strong> Celiac Disease<br />

G. Lakos 1 , G. L. Norman 1 , P. Martis 1 , D. Santora 2 , A. Fasano 3 . 1 INOVA<br />

Diagnostics, Inc., San Diego, CA, 2 University <strong>of</strong> Maryland, Baltimore, MD,<br />

3<br />

Center for Celiac Research, Massachusetts Hospital for Children, Boston,<br />

MA<br />

Background: QUANTA-Flash® h-tTG IgA and IgG, and DGP IgA and IgG are<br />

new, fully automated, microparticle chemiluminescent immunoassays (INOVA<br />

Diagnostics, Inc.) for <strong>the</strong> measurement <strong>of</strong> celiac disease (CD) antibodies. The EliA<br />

Celikey® tTG IgA and IgG, and DGP IgA and IgG assays are single well based,<br />

automated fluoro- enzyme immunoassays from Thermo Fisher <strong>Scientific</strong> (formerly<br />

Phadia). Our goal was to assess and compare some <strong>of</strong> <strong>the</strong> analytical and clinical<br />

performance characteristics <strong>of</strong> <strong>the</strong> two automated systems.<br />

Methods: A total <strong>of</strong> 229 samples were tested in <strong>the</strong> study. After excluding CD patients<br />

on gluten-free diet and samples with insufficient quantity to run all tests, <strong>the</strong> cohort<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A71


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

included 75 biopsy-proven CD patients (2 with selective IgA deficiency), and 139<br />

controls, including age and sex matched healthy controls, and patients with food<br />

allergy, inflammatory bowel disease and rheumatoid arthritis.<br />

Results: Clinical sensitivity and specificity <strong>of</strong> <strong>the</strong> individual antibody assays were<br />

<strong>the</strong> following (* equivocal considered positive; ** equivocal considered negative):<br />

Assay Sensitivity, % Specificity,<br />

%<br />

QUANTA<br />

Flash h-tTG IgA 93.2 99.3<br />

EliA<br />

Celikey tTG IgA* 93.2 99.3<br />

EliA<br />

Celikey tTG IgA** 78.1 99.3<br />

QUANTA<br />

Flash h-tTG IgG 33.3 99.3<br />

EliA<br />

Celikey tTG IgG* 36.0 100.0<br />

EliA<br />

Celikey tTG IgG** 28.0 100.0<br />

QUANTA<br />

Flash DGP IgA 72.6 98.6<br />

EliA<br />

Celikey DGP IgA* 63.0 97.1<br />

EliA<br />

Celikey DGP IgG** 54.8 97.1<br />

QUANTA<br />

Flash DGP IgG 74.7 96.4<br />

EliA<br />

Celikey DGP IgG* 72.0 97.8<br />

EliA<br />

Celikey DGP IgG** 57.3 97.8<br />

Eight tTG<br />

Ig<br />

A result were above <strong>the</strong> analytical measuring range (AMR) with <strong>the</strong> Celikey assay,<br />

and three with QUANTA Flash. Auto-rerun <strong>of</strong> samples with results above <strong>the</strong> AMR<br />

is automatic with <strong>the</strong> QUANTA Flash assay, but manual dilution and second run is<br />

required with <strong>the</strong> Celikey for accurate quantitation. Thirty-four (50.0%) out <strong>of</strong> <strong>the</strong><br />

68 tTG IgA positive results with <strong>the</strong> QUANTA Flash assay were higher <strong>the</strong>n 10<br />

times <strong>of</strong> <strong>the</strong> upper limit on normal (ULN) that is <strong>the</strong> suggested threshold according<br />

<strong>the</strong> new ESPGHAN Guideleines for potentially avoiding biopsy for <strong>the</strong> diagnosis.<br />

Only 13 out <strong>of</strong> <strong>the</strong> 57 positive Celikey tTG IgA results (22.8%) were higher <strong>the</strong>n<br />

10 times <strong>of</strong> <strong>the</strong> ULN. Seventy-four (98.7%) out <strong>of</strong> all biopsy-proven CD patients<br />

were correctly identified with <strong>the</strong> QUANTA Flash tTG IgA + DGP IgG combination,<br />

while 65 (86.7%) and 71 (94.7%) (depending on how equivocals are considered) were<br />

identified with <strong>the</strong> same combination <strong>of</strong> Celikey assays.<br />

Conclusions: The wider AMR and higher resolution <strong>of</strong> results make <strong>the</strong> QUANTA<br />

Flash test analytically more useful for accurate quantitation <strong>of</strong> tTG IgA antibodies<br />

than its Celikey counterpart. All QUANTA Flash CD assays showed same or superior<br />

diagnostic performance compared to <strong>the</strong> EliA Celikey assays.<br />

A-241<br />

Risk factors for bone loss after renal transplantation<br />

L. Luo 1 , Y. shi 2 , B. Cai 1 , Y. Bai 1 , Y. Zou 1 , L. wang 1 . 1 Department <strong>of</strong> Clinical<br />

Immunological Laboratory, West China Hospital, Sichuan University, chengdu,<br />

China, 2 Department <strong>of</strong> Nephrology, West China Hospital, Sichuan University,<br />

chengdu, China<br />

Background: Bone loss is a common clinical problem after renal transplantation.<br />

In light <strong>of</strong> greatly improved long-term patient and graft survival, improving o<strong>the</strong>r<br />

clinical outcomes after renal transplantation such as risk <strong>of</strong> fracture is <strong>of</strong> paramount<br />

importance. However, <strong>the</strong> parameters influencing bone health in Chinese patients have<br />

not been well defined in its pathogenesis. So this study was performed to investigate<br />

<strong>the</strong> prevalence and risk factors <strong>of</strong> bone loss in renal transplant recipients.<br />

Methods: Dual-energy X-ray absorptiometry (DEXA) was performed to measure<br />

BMD. All patients were divided into two groups according to BMD results: group<br />

1 with normal bone mineral density (T score above -1.5), group 2 with low bone<br />

mineral density (T score below -1.5). Clinical information such as sex, age, types <strong>of</strong><br />

immunosuppressive drug and time since transplantation were included. Laboratory<br />

tests for parameters included serum blood urea nitrogen(BUN),creatinine(CREA),uric<br />

acid(URIC),calcium(Ca),phosphorus(PO4),parathyroid hormone(PTH),25-hydroxy<br />

vitamin D(25-OHVD),bone-specific alkaline phosphatase (b-ALP), tartrate-resistant<br />

acid phosphatase-5b (TRAP-5b) levels and <strong>the</strong> concentration <strong>of</strong> tacrolimus. Statistical<br />

analyses were performed using non-conditional logistic regression analysis to assess<br />

<strong>the</strong> effects <strong>of</strong> <strong>the</strong> different parameters to find possible risk factors and main factors.<br />

This study included a total <strong>of</strong> one hundred and twenty-four recipients who underwent<br />

living-related donor kidney transplantation between 2007 and 2011 at West China<br />

Hospital <strong>of</strong> Sichuan University. All patients received a triple immunosuppressive<br />

<strong>the</strong>rapy consisting <strong>of</strong> steroids plus tacrolimus plus Mycophenolate M<strong>of</strong>etil. The<br />

exclusion criteria were as follows: age


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-243<br />

Performance characteristics <strong>of</strong> an anti-PCP IgA and an anti-PCP IgM<br />

ELISA<br />

J. Harley, C. Budd, E. Harley, R. Budd. The Binding Site Ltd, Birmingham,<br />

United Kingdom<br />

Objective: To investigate performance characteristics <strong>of</strong> <strong>the</strong> VaccZyme TM anti-PCP<br />

IgA and anti-PCP IgM EIA.<br />

Background: Vaccine response is a useful method <strong>of</strong> assessing functional<br />

immunoglobulin production. Measurement <strong>of</strong> specific anti-pneumococcal capsular<br />

polysaccharide IgG antibodies, following pneumococcal vaccination, has been used<br />

to aid diagnosis in cases <strong>of</strong> immunodeficiency. Measurement <strong>of</strong> anti-PCP IgA and IgM<br />

antibody may provide additional information.<br />

Method: Anti-PCP IgA and IgM antibodies were determined using <strong>the</strong> VaccZyme<br />

Anti-PCP IgA EIA and IgM EIA kits (The Binding Site, UK). The concentration was<br />

assessed in 145 serum samples post pneumococcal vaccine immunisation. Precision<br />

testing was completed on three kit lots; intra-assay reproducibility was determined on<br />

six samples (20 replicates) and inter-assay precision was tested on eight samples in<br />

duplicate, on six separate occasions. Linearity was demonstrated on all three kit lots<br />

using a pool <strong>of</strong> high titre sera.<br />

Results: The incidence <strong>of</strong> anti-PCP IgA and anti-PCP IgM antibodies in 145 normal<br />

blood donors was shown to not follow a normal distribution (Anderson Darling<br />

A 2 p175 and >112 ng/mL for serum and urine, respectively) were found<br />

in 39% (range 6-2455 ng/mL) and 42% (range 2-1900 ng/mL) <strong>of</strong> sSLE patients<br />

compared to 4% (range 28-401 ng/mL) and 4% (range 1-211 ng/mL) in healthy<br />

Fig. 1 Absolute percent difference in sIgE concentration between <strong>the</strong> 1 st and 15 th day<br />

<strong>of</strong> testing. The black column represents storage at -20°C, <strong>the</strong> grey represents storage<br />

at 4°C, and <strong>the</strong> white column represents storage at 25°C.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A73


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

A-246<br />

Incidence <strong>of</strong> antinuclear antibodies in patients treated with TNFinhibitors<br />

W. Klotz, J. Eibl, M. Herold. Innsbruck Medical University, Innsbruck,<br />

Austria<br />

Background: Since 1990 TNF-inhibitors have been used to treat inflammatory<br />

rheumatic diseases like rheumatoid arthritis (RA), spondyloarthritis (SpA) and<br />

psoriatic arthritis (PsA). Induction <strong>of</strong> antinuclear antibodies (ANAs) during treatment<br />

with TNF-inhibitors was known from <strong>the</strong> very beginning (Charles PJ et al. Arthritis<br />

Rheum 2000;43:2383-90), in some cases induction <strong>of</strong> drug induced lupus was seen<br />

(Williams EL et al. Rheumatology 2009;48:716-20). ANA screening prior to and<br />

during anti-TNF <strong>the</strong>rapy has been recommended. We evaluated <strong>the</strong> number <strong>of</strong> patients<br />

who induced ANA during treatment with different TNF-inhibitors.<br />

Methods: In this retrospective case-control-study 124 patients were selected, all <strong>of</strong><br />

whom had received anti-TNF-<strong>the</strong>rapy for at least 6 months. ANA titers were measured<br />

by indirect immun<strong>of</strong>luorescence using HEp-2 cells. Patients were included with a<br />

clinical diagnosis <strong>of</strong> RA (n=87), SpA (n=28) and PsA (n=8).<br />

Results: 24 patients were found with ANA titers >1:100 before anti-TNF treatment<br />

was started and were excluded from fur<strong>the</strong>r testing. This occurred primarily in<br />

patients diagnosed with RA (n=22) and one patient each in PsA and SpA. Among<br />

<strong>the</strong> remaining 100 patients, 33 showed a rise in ANA titer (ei<strong>the</strong>r from negative<br />

to titer >1:100 or at least two titer steps) during anti-TNF treatment, 20 <strong>of</strong> <strong>the</strong>m<br />

diagnosed with RA (23.0%), 3 with PsA (37.5%) and 10 with SpA (35.7%). HEp-2<br />

patterns were classified as homogenous (n=21, 63.6%), mixed homogenous & fine<br />

speckled (n=8, 24.2%), fine speckled (n=3, 9.1%) and nucleolar (n=1, 3.0%). Median<br />

time between start <strong>of</strong> treatment and occurrence <strong>of</strong> ANA titers was 33 weeks with a<br />

minimum <strong>of</strong> 4 and a maximum <strong>of</strong> 308 weeks. All TNF-inhibitors available in Austria<br />

were used (Adalimumab, n=43; Etanercept, n=32; Inflixmab, n=31; Golimumab,<br />

n=8; Certolizumab, n=1), some patients received two or even 3 TNF-inhibitors<br />

sequentially. ANA were induced in 16 patients treated with Infliximab (51.6 %),<br />

13 with Adalimumab (30.2 %), two with Etanercept (6.3 %), one with Golimumab<br />

(12.5 %) and <strong>the</strong> single patient treated with Certolizumab. Additionally, one patient<br />

examined developed positive ANA titers during treatment with Anakinra, an IL-1<br />

receptor antagonist, who retained positive ANA titers after switching to an anti-TNF<br />

treatment. In 13 times patients with positive ANA titers were switched to ano<strong>the</strong>r<br />

anti-rheumatic biological drug, 10 times <strong>of</strong> which <strong>the</strong> p atients retained ANA titers.<br />

One patient showed decreasing titers after changing <strong>the</strong> drug, but increased again after<br />

some time, and two patients showed decreasing ANA titers.<br />

Conclusion: Incidence and increase <strong>of</strong> ANA titers during anti-TNF treatment is<br />

similar in patients with different diagnoses, but seems to differ among different<br />

types <strong>of</strong> TNF-inhibitors with <strong>the</strong> lowest rate under treatment with etanercept, a TNF<br />

receptor, compared to drugs based on monoclonal anti-TNF antibodies.<br />

A-247<br />

Role <strong>of</strong> Antiphospholipid Score and Anti-β2-glycoprotein I Domain I<br />

autoantibodies in <strong>the</strong> Antiphospholipid Syndrome diagnosis.<br />

R. Mondéjar-García 1 , C. González-Rodríguez 1 , F. J. Toyos-Sáenz de<br />

Miera 1 , E. Melguizo-Madrid 1 , M. Mahler 2 , I. Romero Losquiño 1 , F.<br />

Fabiani 1 . 1 Virgen Macarena University Hospital, Seville, Spain, 2 Innova<br />

Diagnostics Inc., San Diego, CA<br />

Background: Antiphospholipid Syndrome (APS) is characterized by <strong>the</strong> presence <strong>of</strong><br />

circulating antiphospholipid antibodies (aPL) in patients with thrombosis or pregnancy<br />

morbidity. Recently it has been shown that multiple positive results define a higher<br />

risk <strong>of</strong> clinical manifestation in APS patients. However, utilizing combined results<br />

generate challenges for physician. Therefore, <strong>the</strong> Antiphospholipid Score (APL-S),<br />

a new variable that encompasses all aPL assays, has been described. We analyze<br />

clinical performance <strong>of</strong> different APL-S based on ELISA or chemiluminescent (CIA)<br />

immunoassays.<br />

Methods: A total <strong>of</strong> 87 patients (27 primary APS; 12 secondary APS, 30 early onset<br />

rheumatoid arthritis; and 18 with o<strong>the</strong>r rheumatological diseases) and 30 healthy<br />

control were included in this study. All patients were tested for Lupus Anticoagulant<br />

(LAC). In addition, IgM/IgG anticardiolipin (aCL) and anti-β2-glycoprotein I<br />

autoantibodies (aβ2GPI) were tested by QUANTA Lite ELISA and QUANTA Flash<br />

CIA (QUANTA Lite®, INOVA Diagnostics). Anti-aβ2GPI Domain 1 (D1) antibodies<br />

were tested by QUANTA Flash CIA. Three aPL-S were calculated (ELISA, CIA and<br />

with D1 instead <strong>of</strong> β2GPI) using <strong>the</strong> Otomo equation: aPL-S=5 x exp([OR]-5)/4. The<br />

upper limit <strong>of</strong> each aPL-S was determined as 20. Statistical analysis was performed<br />

with SPSS v15 for Windows.<br />

Results: IgG assays showed a good (aCL: rho=0.611, kappa=0.662; B2GPI:<br />

rho=0.604, kappa=0.643) while IgM assays showed moderate correlation (aCL:<br />

rho=0.595, kappa=0.482; B2GPI: rho=0.684, kappa=0.402). The relative risk <strong>of</strong><br />

having clinical manifestation <strong>of</strong> APS (approximated by odds ratios [OR]) was<br />

calculated for each aPL test. The ORs for clinical manifestations <strong>of</strong> APS for aβ2GPI<br />

IgG and aβ2GPI-D1 by CIA were 9.1 (95% confidence interval [95% CI] 3.0-27.5)<br />

and 17.4 (95% CI 3.4-89.5), respectively. All three aPL-S were higher in individuals<br />

with thrombosis or pregnancy morbidity than in those without APS manifestations<br />

(p


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

curves from a single serum based calibrator fluid producing a measuring range <strong>of</strong><br />

0.06 - 0.4 g/L at <strong>the</strong> standard 1/5 sample dilution, with a sensitivity <strong>of</strong> 0.06g/L. High<br />

samples are re-measured at a dilution <strong>of</strong> 1/10 with an upper measuring range <strong>of</strong><br />

0.12 - 0.8 g/L. Intra-run precision was assessed by measurement <strong>of</strong> ten replicates <strong>of</strong><br />

samples at 0.108g/L (0.85% CV) and 0.343g/L (0.59% CV). Fur<strong>the</strong>rmore, precision<br />

was assessed at <strong>the</strong> clinically relevant decision point <strong>of</strong> 0.169g/L (0.98%). Linearity<br />

was assessed by assaying a serially-diluted patient sample pool across <strong>the</strong> width <strong>of</strong><br />

<strong>the</strong> measuring range and comparing expected versus observed results. The assay was<br />

shown to be linear over <strong>the</strong> range <strong>of</strong> 0.068 - 0.338g/L; y = 0.9526x + 0.01795 (R 2<br />

= 0.9961). Correlation to <strong>the</strong> Binding Site C1 Inactivator assay for <strong>the</strong> SPA PLUS<br />

was performed using 28 samples (range 0.081 - 0.406g/L). Good agreement was<br />

demonstrated when <strong>the</strong> data was analysed by Passing-Bablok regression; y=0.94x +<br />

0.01. We conclude that <strong>the</strong> C1 Inactivator assay for <strong>the</strong> Binding Site next generation<br />

protein analyser is reliable, accurate and precise and shows good agreement with<br />

existing assays.<br />

A-250<br />

Evaluation <strong>of</strong> a Beta-2-Microglobulin assay for use on <strong>the</strong> Binding Site<br />

Next Generation Protein Analyser<br />

C. N. Rowe, D. J. Matters, F. Murphy, S. J. Harding, P. J. Showell. The<br />

Binding Site Ltd, Birmingham, United Kingdom<br />

Beta-2-microglobulin (B2M) is a low molecular weight protein that is routinely<br />

measured in serum in <strong>the</strong> assessment <strong>of</strong> patients with renal disease, rheumatoid<br />

arthritis and multiple myeloma and in urine as a marker <strong>of</strong> tubular-interstitial disorder.<br />

Here we evaluate <strong>the</strong> performance <strong>of</strong> a B2M assay for use on <strong>the</strong> Binding Site’s next<br />

generation protein analyser. The instrument is a random-access bench top turbidimetric<br />

analyser capable <strong>of</strong> a wide range <strong>of</strong> on-board sample dilutions (up to 1/10,000) and<br />

throughput <strong>of</strong> up to 120 tests per hour. Precision is promoted by single-use cuvettes<br />

which are automatically loaded and disposed <strong>of</strong>. Assay time was 12 minutes to first<br />

result, and <strong>the</strong> results were measured at end point. The instrument automatically<br />

diluted a single serum based calibrator to produce a measuring range from 0.312mg/L<br />

– 40mg/L when using a 1/20 on board sample dilution. Samples reporting outside <strong>of</strong><br />

<strong>the</strong> measuring range were automatically remeasured at dilutions <strong>of</strong> 1/10 and 1/40 as<br />

appropriate. Intra assay precision was assessed by measuring twenty replicates on<br />

a single calibration curve at serum samples with concentrations <strong>of</strong> 1.21mg/L (2.8%<br />

CV) and 20.57mg/L (1.2% CV). To assess linearity, serum sample was serially diluted<br />

over a measuring range <strong>of</strong> 2.27mg/L – 23.0mg/L and observed results were compared<br />

to expected values. Acceptable linearity was observed when results were analysed by<br />

linear regression; y=0.9832x + 0.2404, R 2 =0.999. Interference was tested by spiking<br />

haemoglobin (5000mg/L), bilirubin (200mg/L) and chyle (1500 FTU) into a serum<br />

sample containing 2.1mg/L B2M which was analysed at a dilution <strong>of</strong> 1/10, with no<br />

significant interference (within ±10%) being observed. Finally, comparison to <strong>the</strong><br />

Binding Site SPA PLUS B2M assay was performed by running 25 serum samples with<br />

a range <strong>of</strong> 0.89-36.1mg/L. There was good agreement when <strong>the</strong> data was analysed<br />

by linear regression analysis; y=1.0708x – 0.0825, R 2 =0.9968. We conclude that <strong>the</strong><br />

B2M assay for <strong>the</strong> Binding Site next generation protein analyser is reliable, accurate<br />

and precise and shows good agreement with existing assays.<br />

(5000mg/L) or chyle (1500 FTU = formazine turbidity units) to samples with 0.045<br />

g/L prealbumin concentrations, measured at a 1/1 dilution. Linearity was assessed<br />

by serially diluting a normal serum sample across <strong>the</strong> width <strong>of</strong> <strong>the</strong> calibration curve<br />

and comparing observed results with expected values. The assay showed acceptable<br />

linearity by linear regression; y = 0.9864x + 0.0002 g/L, R 2 = 0.9971. Comparison<br />

was made to <strong>the</strong> Binding Site prealbumin assay for <strong>the</strong> SPA PLUS by measuring 26<br />

samples from 10 normal (range 0.2-0.426g/L) and 16 clinical patients (range 0.042-<br />

0.196g/L). Good agreement was demonstrated by Passing and Bablok regression: y<br />

= 0.9642x + 0.006 g/L, R 2 = 0.9965. We conclude that <strong>the</strong> prealbumin assay for <strong>the</strong><br />

Binding Site next generation protein analyser is accurate, rapid and precise and may<br />

be <strong>of</strong> use in laboratories where a large instrument may not be appropriate.<br />

A-252<br />

Evaluation <strong>of</strong> an Albumin assay for use on <strong>the</strong> Binding Site Next<br />

Generation Protein Analyser<br />

H. Johnson, F. Murphy, H. J. Sharrod-Cole, S. J. Harding, P. J. Showell.<br />

The Binding Site Ltd., Birmingham, United Kingdom<br />

Albumin measurement is routinely performed for <strong>the</strong> diagnosis <strong>of</strong> kidney and liver<br />

disease and for use in staging multiple myeloma patients. Here we describe <strong>the</strong><br />

evaluation <strong>of</strong> a serum albumin assay for <strong>the</strong> Binding Site’s next generation protein<br />

analyser. The instrument is a random-access bench top turbidimetric analyser capable<br />

<strong>of</strong> a wide range <strong>of</strong> on-board sample dilutions (up to 1/10,000) and throughput <strong>of</strong><br />

up to 120 tests per hour. Precision is promoted by single-use cuvettes which are<br />

automatically loaded and disposed <strong>of</strong>. The assay is programmed to automatically<br />

create a 5-point calibration curve from a single serum based calibrator. The main assay<br />

characteristics are summarised in <strong>the</strong> table below:<br />

Assay<br />

Serum<br />

Initial sample dilution 1/70<br />

Initial range<br />

3.1-93.17g/L<br />

Maximum sample dilution 1/121<br />

Maximum range<br />

5.4-161.05g/L<br />

Sensitivity<br />

3.105g/L<br />

Assay time (mins) 10.5<br />

Acceptable intra-assay precision was observed when analysing known serum samples<br />

<strong>of</strong> 3.6 (1.6% CV) and 89.3g/L (2.2% CV) twenty times against a single calibration<br />

curve. Linearity was assessed using a pool <strong>of</strong> normal serum samples spiked with<br />

purified human albumin to a final concentration <strong>of</strong> X g/L. The fluid was serially<br />

diluted and results were compared to expected values. The assay showed acceptable<br />

linearity when results were analysed by linear regression; y=1.016x-0.9581,<br />

R 2 =0.999. No significant interference (within ±10%) was observed when a sample<br />

<strong>of</strong> known albumin concentration was spiked with bilirubin (200mg/L), haemoglobin<br />

(5000mg/L) or Chyle (1500 FTU’s). Comparison was made to <strong>the</strong> serum albumin<br />

assay for use on <strong>the</strong> Binding Site SPAPLUS analyser by comparing 33 samples from<br />

17 normal (range 38.8-69.0g/L) and 16 clinical patients (range 20.8-37.5g/L). Good<br />

agreement was observed when <strong>the</strong> data was analysed by linear regression analysis;<br />

y=0.959X + 2.1156, R 2 =0.968. We conclude that <strong>the</strong> serum albumin assay for <strong>the</strong><br />

Binding Site next generation protein analyser is reliable, accurate and precise and<br />

shows good agreement with existing albumin assays.<br />

A-251<br />

Evaluation <strong>of</strong> a Prealbumin assay for use on <strong>the</strong> Binding Site’s Next<br />

Generation Protein Analyser<br />

S. Kausar, F. Murphy, S. J. Harding, P. J. Showell. The Binding Site Ltd,<br />

Birmingham, United Kingdom<br />

Prealbumin is a 50kDa glycoprotein, which is routinely measured to assess nutritional<br />

status in critically ill patients. Here we describe <strong>the</strong> development <strong>of</strong> a prealbumin<br />

assay for use in serum on <strong>the</strong> Binding Site’s next generation protein analyser. The<br />

instrument is a random-access bench top turbidimetric analyser capable <strong>of</strong> a wide range<br />

<strong>of</strong> on-board sample dilutions (up to 1/10,000) and throughput <strong>of</strong> up to 120 tests per<br />

hour. Precision is promoted by single-use cuvettes which are automatically loaded and<br />

disposed <strong>of</strong> The instrument automatically dilutes a single calibrator fluid to produce<br />

a measuring range <strong>of</strong> 0.06 - 0.66 g/L at <strong>the</strong> initial 1/10 sample dilution. Low samples<br />

are re-measured at a dilution <strong>of</strong> 1/1, producing a sensitivity <strong>of</strong> 0.006g/L. The assay<br />

is read at end point with an assay time <strong>of</strong> 12mins. Acceptable intra-assay precision<br />

produced analysing serum samples at concentrations <strong>of</strong> 0.11 (2.4% CV) and 0.49g/L<br />

(1.2% CV) twenty times against a single calibration curve. No significant interference<br />

(within ±10%) was observed upon addition <strong>of</strong> bilirubin (200mg/L), haemoglobin<br />

A-253<br />

Inter-batch Variation and Within Batch Precision <strong>of</strong> The Binding Site<br />

Freelite Light Chain Assays<br />

D. J. Matters 1 , P. J. Showell 1 , S. J. Harding 1 , H. D. Carr-Smith 2 , L. J. Smith 1 .<br />

1<br />

The Binding Site, Birmingham, United Kingdom, 2 The Binding Site Ltd,<br />

Birmingham, United Kingdom<br />

International guidelines for <strong>the</strong> assessment <strong>of</strong> serum free light chains are based on<br />

<strong>the</strong> Freelite assay and recommend <strong>the</strong>ir measurement to identify and monitor patients<br />

with B cell disorders. Since <strong>the</strong> development <strong>of</strong> <strong>the</strong>se assays, multiple myeloma (MM)<br />

patient outcomes have improved dramatically, highlighting <strong>the</strong> need for reproducible<br />

tests to monitor <strong>the</strong>se patients over considerable periods <strong>of</strong> time. Here we present a<br />

study comparing batch to batch variation <strong>of</strong> <strong>the</strong> Freelite assay on <strong>the</strong> Siemens BNII<br />

and The Binding Site SPAPLUS platforms. Briefly, for each analyser 3 consecutive<br />

batches <strong>of</strong> reagents (comprising <strong>of</strong> latex bound antisera, supplementary, calibrators<br />

and controls) were used to compare a minimum <strong>of</strong> 119 samples, <strong>of</strong> which at least<br />

76 fell within <strong>the</strong> published normal range and at least 43 pathological samples from<br />

patients with MM, SLE or AL amyloidosis. All results were compared to <strong>the</strong> first<br />

<strong>of</strong> <strong>the</strong> consecutive batches using Passing Bablok analysis performed with Analyze-It<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A75


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

s<strong>of</strong>tware. Fur<strong>the</strong>r information was provided by comparing results from healthy adults<br />

with <strong>the</strong> manufacturers 95 th percentile reference normal ranges <strong>of</strong> 3.3-19.4mg/L for<br />

kappa free and 5.71-26.3mg/L for lambda free light chains using Analyse-it. Within<br />

batch precision was assessed by testing five replicates <strong>of</strong> <strong>the</strong> kit low control against<br />

five separate calibration curves and calculating <strong>the</strong> overall CV for all 25 results.<br />

Number <strong>of</strong><br />

samples<br />

Batch 3 vs batch 1 regression Slope (Y=)<br />

Precision (%CV) and<br />

assigned value (mg/L)<br />

Number <strong>of</strong><br />

samples<br />

Batch 1<br />

Batch 2<br />

Batch 3<br />

Kappa Kappa<br />

SPAPLUS BNII<br />

Batch 2 vs batch 1 regression Slope (Y=) 1.02x+0.06 0.97x-<br />

Lambda Lambda<br />

SPAPLUS BNII<br />

0.96x-<br />

0.98x+0.00<br />

0.01<br />

0.68<br />

119 134 122 136<br />

1.09x-0.03<br />

0.94x-<br />

0.15<br />

1.11x-0.09<br />

0.96x-<br />

0.80<br />

119 134 122 136<br />

3.60% 5.26%<br />

1.93% (27.2) 3.74%<br />

(15.3) (19.0)<br />

(30.4)<br />

5.30% 5.69%<br />

2.91% (28.7) 4.49%<br />

(14.7) (16.6)<br />

(28.5)<br />

2.57% 3.11%<br />

1.59% (28.3) 3.56%<br />

(17.9) (16.1)<br />

(26.3)<br />

Normals outside 95% range Batch 1 0.0% 1.5% 1.7% 0.0%<br />

Batch 2 0.0% 7.7% 3.4% 0.0%<br />

Batch 3 0.0% 7.7% 0.0% 0.0%<br />

Inter-batch agreement for <strong>the</strong> last 3 batches produced was within acceptable limits.<br />

Fur<strong>the</strong>rmore, reference range comparison showed that <strong>the</strong>re was no significant<br />

difference between <strong>the</strong> results returned. The value <strong>of</strong> <strong>the</strong> low control was within 25%<br />

<strong>of</strong> <strong>the</strong> top end <strong>of</strong> <strong>the</strong> normal range and showed good precision at this medical decision<br />

point (19.4mg/L kappa, 26.3mg/L lambda). These results confirm <strong>the</strong> suitability <strong>of</strong> <strong>the</strong><br />

Freelite assays for FLC measurements in identification and prolonged monitoring <strong>of</strong><br />

patients with B cell disorders across batches <strong>of</strong> reagent.<br />

A-254<br />

Elucidating <strong>the</strong> relationship between SPE “nephrotic” pattern<br />

and proteinuria, and its utility in <strong>the</strong> investigation <strong>of</strong> monoclonal<br />

gammopathies<br />

H. Li 1 , P. Chan 2 . 1 University <strong>of</strong> Toronto, Toronto, ON, Canada, 2 Sunnybrook<br />

Health Sciences Centre & University <strong>of</strong> Toronto, Toronto, ON, Canada<br />

Background: Serum Protein Electrophoresis (SPE) is used to detect and quantify<br />

monoclonal immunoglobulins (M-proteins). In <strong>the</strong> absence <strong>of</strong> an M-protein, certain<br />

electrophoretic patterns, such as <strong>the</strong> so-called “nephrotic” pattern, are believed to<br />

reflect pathologic protein changes that may be related to monoclonal gammopathy,<br />

and thus are <strong>the</strong> basis for fur<strong>the</strong>r investigations. However, vigorous validation <strong>of</strong> <strong>the</strong>se<br />

patterns has been lacking. Objective: Our goal is to elucidate <strong>the</strong> relationship between<br />

SPE “nephrotic” pattern and proteinuria, and to determine its utility in detecting<br />

M-proteins.<br />

Methods: SPE was performed on <strong>the</strong> Sebia Capillarys II TM and immun<strong>of</strong>ixation<br />

electrophoresis (IFE) on <strong>the</strong> Phoresis TM systems respectively. 203 consecutive cases<br />

with an SPE “nephrotic” pattern characterized by decreased albumin ([alb] 9 g/L; RI: 4-9) from <strong>the</strong> past 2 years<br />

were examined for levels <strong>of</strong> proteinuria and presence <strong>of</strong> M-proteins (confirmed by<br />

IFE). A separate cohort <strong>of</strong> 435 patients with clinical proteinuria (>500 mg/L) was<br />

examined for specific SPE patterns, if any, and positive rate for M-proteins.<br />

Results: For <strong>the</strong> 203 patients with “nephrotic” pattern, 34% had normal level <strong>of</strong><br />

proteinuria, and only 12% had nephrotic level <strong>of</strong> proteinuria (>3.5 g/day for 24-h<br />

urine or 3.5 g/L for random). Varying <strong>the</strong> criteria for this “nephrotic” pattern i.e. [alb]<br />

10, [β1]


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

electrochemiluminescence immunoassay (ECLIA) tests are widely used due to good<br />

processing speed, reliability and price, but even new generations <strong>of</strong> HCV assay kits,<br />

have lower specificity than immunoblot tests.<br />

Objective: The goal <strong>of</strong> this study was to evaluate <strong>the</strong> CMIA Abbott® Anti-HCV test<br />

results against RIBA immunoblot results, and verify <strong>the</strong> need for determining a grayzone<br />

index, not provided in <strong>the</strong> package insert <strong>of</strong> CMIA Anti-HCV test.<br />

Methods: We analyzed 422 samples from Alvaro Laboratory – Center <strong>of</strong> Analysis<br />

and Clinical Research with Immunoblot (CHIRON ® RIBA ® HCV 3.0 SIA Chiron<br />

Corporation) and CMIA (Architect ® Anti-HCV, Abbott). Tests were performed<br />

according to manufacturers’ instructions and evaluated with internal control. For<br />

CMIA testing, firstly results were interpreted according to package insert, and<br />

secondly, gray-zone intervals were evaluated to determine inconclusive results. The<br />

interpretation <strong>of</strong> RIBA tests were done strictly as describe in kit package insert.<br />

Results: The 422 samples tested by RIBA showed 190 negative, 146 positive and<br />

86 inconclusive results. When <strong>the</strong> same samples were tested by CMIA, 218 negative<br />

and 204 positive results were observed. Excluding inconclusive RIBA results, CMIA<br />

method showed only 01 false positive and 08 false negative. Afterwards CMIA results<br />

were reclassified allocating indeterminate results in three different groups <strong>of</strong> grayzone<br />

(group A = 1.0 - 2.0, group B = 1.0 - 3.0, group C = 1.0 to 6.0), searching for <strong>the</strong><br />

group with <strong>the</strong> lower false results prevalence (between false positive, false negative<br />

and false inconclusive). In this stage was observed for group A = 79, B = 69 and C =<br />

71 discrepancies respectively.<br />

Conclusion: Interpreting <strong>the</strong> CMIA results, accordingly with package insert, showed<br />

a fairly considerable number <strong>of</strong> samples without confirmation by immunoblot<br />

technique. These samples, interpreted as indeterminate result due to <strong>the</strong> presence <strong>of</strong> a<br />

single band in RIBA test, totalize 95 discrepant results. Negative/inconclusive samples<br />

showed quantitative CMIA results distributed between 0.03 and 0.94, mostly far from<br />

1.0. Positive / inconclusive samples showed more than 80% <strong>of</strong> results between 1.0<br />

and 6.0. Adoption <strong>of</strong> a gray-zone group with values between 1.0 and 3.0 has only 69<br />

discrepant results, <strong>the</strong> fewer total discrepancies between all groups, thus reducing<br />

<strong>the</strong> number <strong>of</strong> false reactive tests released and <strong>the</strong> global number <strong>of</strong> inconsistencies.<br />

A-257<br />

Method Comparison <strong>of</strong> Quantitative Hevylite Immunoassays<br />

Performed on Nephelometric Versus Turbidimetric Platforms<br />

D. Walter 1 , T. Shulta 1 , J. Flanagan 1 , A. Khajuria 1 , J. Vander Kooi 2 , J. Faint 2 ,<br />

L. Traylor 2 , R. J. Schneider 3 . 1 Marshfi eld Clinic, Marshfi eld, WI, 2 The<br />

Binding Site, San Diego, CA, 3 ProHealth Care, Waukesha, WI<br />

Background: The new Hevylite assay (The Binding Site, Inc), is a quantitative<br />

serum-based immunoassay for detection <strong>of</strong> immunoglobulins (Ig) with <strong>the</strong>ir<br />

associated light chains, kappa (κ) or lambda (λ) for <strong>the</strong> investigation <strong>of</strong> myeloma<br />

proteins. The immune complexes formed using Hevylite antibody reagents can<br />

be quantified by both nephelometry and turbidimetry. The objectives <strong>of</strong> this study<br />

were to compare performance characteristics and analytical results <strong>of</strong> <strong>the</strong> IgG and<br />

IgA Hevylite reagents on a turbidimeter (The Binding Site SPA PLUS<br />

) versus <strong>the</strong><br />

nephelometer (Siemens BNII ® ). Hevylite reagents have been validated for both<br />

platforms and should provide comparable results.<br />

Methods: Intra-assay and inter-assay imprecision were analyzed for Hevylite IgGκ,<br />

IgGλ, IgAκ,and IgAλ reagents on a nephelometer and a turbidimeter using control<br />

(or pooled patient samples) provided by Marshfield Clinic and Waukesha Hospital<br />

laboratories. Patient and control serum sample results were compared between both<br />

platforms using Hevylite kit reagents and standards. Linear regression and Passing<br />

& Bablok analyses were performed for method comparison.<br />

Results: The precision for Hevylite reagents performed on <strong>the</strong> SPA PLUS<br />

and BNII<br />

are summarized in <strong>the</strong> table below. These data are expressed as %CV for low and high<br />

control samples provided by <strong>the</strong> manufacturer.<br />

Hevylite Reagent<br />

Reference Range<br />

g/L<br />

Inter-Assay<br />

(%CV Low/<br />

High)<br />

Intra-Assay<br />

(%CV Low/<br />

High)<br />

IgGκ Reagent - BNII 4.03-9.78 1.43/2.45 2.61/3.13<br />

IgGκ Reagent -<br />

SPAPlus<br />

3.84-12.07 2.29/2.84 1.54/0.71<br />

IgGλ Reagent - BNII 1.97-5.71 2.04/0.20 2.63/2.20<br />

IgGλ Reagent -<br />

SPAPlus<br />

1.91-6.74 2.71/3.23 2.18/1.37<br />

IgAκ Reagent - BNII 0.48-2.82 1.85/0.90 3.80/1.72<br />

IgAκ Reagent -<br />

SPAPlus<br />

0.57-2.08 4.42/2.62 0.46/1.31<br />

IgAλ Reagent - BNII 0.36-1.98 6.61/9.43 1.07/5.09<br />

IgAλ Reagent -<br />

SPAPlus<br />

0.44-2.04 5.71/3.31 1.33/1.12<br />

Linearity<br />

y = 0.98x - 1.11; R²<br />

= 0.98<br />

y = 0.99x - 8.21; R²<br />

= 0.99<br />

y = 0.98x + 0.20; R²<br />

= 0.99<br />

y = 1.01x + 38.0; R²<br />

= 0.99<br />

y = 0.98x + 0.46; R²<br />

= 0.99<br />

y = 1.00x - 4.12 R²<br />

= 0.99<br />

y = 1.03x + 0.10; R²<br />

= 0.99<br />

y = 1.00x + 0.56; R²<br />

= 0.99<br />

Conclusion: Method comparison <strong>of</strong> <strong>the</strong> Hevylite IgG and IgA assays by<br />

nephelometry and turbidimetry demonstrated that ei<strong>the</strong>r <strong>the</strong> BNII or SPA PLUS<br />

platform<br />

produce comparable and precise results. Both platforms represent viable options for<br />

clinical IgGκ, IgGλ, IgAκ,and IgAλ analyses. Studies are ongoing to evaluate <strong>the</strong><br />

clinical utility <strong>of</strong> <strong>the</strong> Hevylite assay in monitoring myeloma patients.<br />

A-258<br />

Prognostic Marker for Overall and Progression Free Survival in Newly<br />

Diagnosed Multiple Myeloma Patients Treated on Total Therapy 3<br />

J. Bornhorst 1 , L. Traylor 2 , A. Rosenthal 3 , R. Sexton 3 , A. Mitchell 3 , S.<br />

Harding 4 , A. Hoering 5 , F. van Rhee 5 , J. Crowley 5 , N. Petty 5 , B. Barlogie 5 ,<br />

S. Z. Usmani 5 . 1 University <strong>of</strong> Arkansas for Medical Sciences, Little Rock,<br />

AR, 2 The Binding Site, Inc, San Diego, CA, 3 Research and Biostatistics,<br />

Cancer Research and Biostatistics, Seattle, WA, 4 Binding Site Group<br />

Ltd, Birmingham, United Kingdom, 5 Myeloma Institute for Research and<br />

Therapy, University <strong>of</strong> Arkansas for Medical Sciences, Little Rock, AR<br />

Background: International guidelines for identifying monoclonal gammopathies<br />

currently include serum protein electrophoresis (SPEP) and serum free light chain<br />

(FLC) immunoassays with associated kappa/lambda (κ/λ) ratios. The (κ/λ) ratio is a<br />

sensitive marker <strong>of</strong> monoclonal FLC production because it includes suppression <strong>of</strong><br />

<strong>the</strong> non tumor FLC in its calculation and also has prognostic implications in multiple<br />

myeloma (MM). Novel paired nephlometric immunoassays, called Hevylite (HLC)<br />

assay, enables <strong>the</strong> measurement <strong>of</strong> isotype matched immunoglobulin pairs (IgGκ/<br />

IgGλ, IgAκ/IgAλ). We examined <strong>the</strong> performance <strong>of</strong> HLC assay isotypes on stored<br />

samples from newly diagnosed MM patients treated on two successive Total Therapy<br />

3 (TT3A & TT3B) trials previously carried out at <strong>the</strong> Myeloma Institute for Research<br />

and Therapy, at <strong>the</strong> University <strong>of</strong> Arkansas for Medical Sciences.<br />

Methods: The details <strong>of</strong> <strong>the</strong> TT3A and TT3B clinical trials have been published.<br />

Reagent kits for IgA and IgG k/λ HLC, provided by The Binding Site, Inc, were used<br />

to retrospectively test a subset <strong>of</strong> TT3A patients where <strong>the</strong> stored serum samples were<br />

still available, in <strong>the</strong> UAMS Clinical Laboratory using <strong>the</strong> BNII instrument (Siemens).<br />

Chi-square and Fisher’s exact tests were used to compare baseline characteristics<br />

between protocols patients with and without available serum samples. Univariate<br />

and multivariate Cox proportional hazard regression were used to model associations<br />

between baseline covariates and HLC assay. Kaplan and Meier method was used to<br />

model progression free survival (PFS) and overall survival (OS).<br />

Results: In all, 101 baseline serum samples were available (TT3A=67, TT3B=34)<br />

for patients with IgGκ (n=45), IgGλ (n=22), IgAκ (n=17) and IgAλ (n=17) isotype<br />

MM. Patient characteristics between <strong>the</strong> patients with and without available samples<br />

were comparable except for a higher proportion <strong>of</strong> IgA isotype, higher baseline serum<br />

CRP and higher baseline serum LDH in patients without available samples. There<br />

were no differences in PFS or OS amongst <strong>the</strong> 4 heavy chain isotypes. Whe<strong>the</strong>r<br />

evaluating by optimal cut-point or by tertiles, <strong>the</strong>re were no differences in PFS/OS for<br />

<strong>the</strong> IgAκ, IgAλ or IgGλ MM. There was an OS benefit (P=0.05) observed for IgGκ<br />

MM subset by baseline samples and an OS (P=0.0007) and PFS (P= 0.004) benefit<br />

for IgGk MM subset with uninvolved IgGλ concentrations in <strong>the</strong> upper 2 tertiles.<br />

A PFS/OS benefit for was not observed for IgAκ with uninvolved IgAλ, IgAλ with<br />

uninvolved IgAκ, or IgGλ with uninvolved IgGλ MM. Comparing post-<strong>the</strong>rapy HLC<br />

ratio normalization in 30 paired samples (IgG k/λ =22, IgA k/λ =8), <strong>the</strong>re was a trend<br />

for improved OS (P=0.18) in patients who had normalized <strong>the</strong> ratio after autologous<br />

stem cell transplantation.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A77


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

Conclusions: These data provide early evidence <strong>of</strong> pre- and post-<strong>the</strong>rapeutic<br />

prognostic utility <strong>of</strong> <strong>the</strong> HLC assay. Although our study was conducted on a small<br />

subset <strong>of</strong> TT3 patients, <strong>the</strong>se data support fur<strong>the</strong>r investigation <strong>of</strong> HLC assays in<br />

multiple myeloma evaluation.<br />

A-259<br />

The expression <strong>of</strong> Delta-like-1 in PBMC from patients with<br />

autoimmune diseases<br />

X. Peng 1 , X. Zhang 2 , J. Chen 3 , L. Chen 2 , X. Zhang 2 , Z. Luo 2 . 1 Division <strong>of</strong><br />

Clinical immunology, Department <strong>of</strong> Lab Medcine, West China Hospital,<br />

Sichuan University, chengdu, China, 2 Department <strong>of</strong> Immunology, West<br />

China School <strong>of</strong> Preclinical and Forensic Medcine, Sichuan University,<br />

chengdu, China, 3 Key Laboratory <strong>of</strong> West China school <strong>of</strong> stomatology,<br />

Sichuan University, chengdu, China<br />

Background: Notch signaling is involved in many developmental processes and<br />

lineage decisions in fetal and post-natal organogenesis, as well as in adult selfrenewing<br />

organs. It’s a regulator <strong>of</strong> immune cells’ differenciation, prolification,<br />

survival, apoptosis, mature and function, including T lymphcyte, B lymphocyte and<br />

DCs etc. Various Notch ligands were closely associated with differenciation tendency<br />

<strong>of</strong> T cell type (Th1/Th2, Th17, Treg, etc). Because <strong>the</strong> abnormal differenciation and<br />

function <strong>of</strong> T lymphocytes is a key immunologic mechanism <strong>of</strong> autoimmune diseases,<br />

so it is worth to make clear that <strong>the</strong> expressiom <strong>of</strong> Notch ligands in autoimmune<br />

diseases. To adrress this issue, Delta-like-1, one ligand <strong>of</strong> Notch, was detected in<br />

peripheral blood mononuclear cells (PBMC) from patients with autoimmune diseases,<br />

including rheumatoid arthritis (RA), systemic lupus ery<strong>the</strong>matosus (SLE), Sjogren’s<br />

syndrome (SS) and Scleroderma.<br />

Methods:Peripheral blood mononuclear cells (PBMC) from 89 RA, 81 SS, 96<br />

SLE, 83 scleroderma, 52 lymphoma and 51 healthy control were analyzed <strong>the</strong><br />

expression <strong>of</strong> Delta-like-1 at mRNA and protein level by RT-PCR, Western-blot and<br />

immun<strong>of</strong>luorescence. The data obtained was statistically analyzed by chi-square test.<br />

Results: The expression <strong>of</strong> Delta-like-1 was detected in PBMC from <strong>the</strong> patients with<br />

autoimmune diseases, while no expression <strong>of</strong> Delta-like-1 was observed in PBMC<br />

from normal controls and patients with lymphoma. Moreover, <strong>the</strong> expression levels <strong>of</strong><br />

Delta-like-1 in PBMC from <strong>the</strong> patients with RA, SLE or SS seems higher than that<br />

patients with scleroderma. It showed significant difference between RA, SLE, SS,<br />

scleroderma and healthy controls, lymphoma (P < 0.01).<br />

Conclusion: The expression level <strong>of</strong> Delta-like-1 in PBMC was upregulated<br />

significantly in patients with autoimmune diseases including RA, SLE, SS and<br />

scleroderma, and its extent in RA, SLE and SS is more obvious than that in<br />

Scleroderma. These results suggested that Delta-like-1 mediated Notch signaling<br />

pathway may involve in autoimmune diseases’ pathogenesis, and it would be a new<br />

<strong>the</strong>rapy for autoimmune diseases by <strong>the</strong> regulation <strong>of</strong> this Notch signaling pathway.<br />

A-260<br />

HELIOS, a bright future for ANA - automated indirect<br />

immun<strong>of</strong>luorescence (IIF) assay.<br />

T. Matthias 1 , B. Gilburd 2 , N. Agmon-Levin 2 , T. Martins 1 , A. Petzold 1 , Y. Shoenfeld 2 .<br />

1<br />

AESKU.DIAGNOSTICS, Oakland, CA, 2 The Zabludowitcz Center for Autoimmune<br />

Diseases, Tel Aviv, Israel<br />

Introduction: In <strong>the</strong> latest declaration <strong>of</strong> <strong>the</strong> American College <strong>of</strong> Rheumatology<br />

committee for autoantibodies detection, <strong>the</strong> IIF technique was considered <strong>the</strong> standard<br />

screening test for ANA determination. Thereafter, an extensive evolution to develop<br />

technological solutions for automatization <strong>of</strong> IIF was initiated, including devices for<br />

substrates (slides) preparation as well as for <strong>the</strong>ir interpretation.<br />

Objective <strong>of</strong> <strong>the</strong> study: To evaluate <strong>the</strong> first fully automated (HELIOS) IIF processor<br />

including an integrated optical system for automatic slides reading aimed at positive/<br />

negative sample discrimination.<br />

Patients and methods: Two hundred samples (47 ANA negative, 70 ANA- ENA<br />

positive and 83 ANA positive by ELISA) were reevaluated for ANA utilizing <strong>the</strong><br />

HELIOS system as well as manual routine microscopic evaluated by two different<br />

expert observers.<br />

Results: The agreement between ANA determination by <strong>the</strong> HELIOS system and<br />

results obtained by <strong>the</strong> expert observers reached 92% <strong>of</strong> which a concurrence <strong>of</strong><br />

97.6% was observed in <strong>the</strong> ANA negative group and 90% in <strong>the</strong> ANA positive group.<br />

Notably, all discordant positive samples were characterized by very low fluorescent<br />

signal and unidentified patterns. On <strong>the</strong> o<strong>the</strong>r hand, <strong>the</strong> HELIOS system recognized a<br />

broad range <strong>of</strong> fluorescence patterns, including one esoteric pattern.<br />

The correlation between <strong>the</strong> IFA performed by <strong>the</strong> automated system or manually<br />

and ELISA test was 91 %.<br />

Conclusions: The HELIOS system is able to discriminate correctly ANA positive/<br />

negative samples compared to manual microscopic IIF performed by two independent<br />

experts. This novel approach to IIF determination may reduce inter-laboratory<br />

variability and time required to perform this test especially in high throughput<br />

laboratories.<br />

A-261<br />

Evaluation <strong>of</strong> <strong>the</strong> Utility <strong>of</strong> Serum FLC Ratio for Screening and<br />

Monitoring PTLD in Post Solid Organ Transplant Patients<br />

P. Wang 1 , I. Shu 1 , D. Kuhn 2 , K. Kuus 2 . 1 The Methodist Hospital, Houston,<br />

TX, 2 The Binding Site, San Diego, CA<br />

Background: Post Transplant Lymphoproliferative Disease (PTLD) is primarily<br />

diagnosed histologically using tissue biopsy and distinguished by features such as<br />

cytogenetic abnormalities, immunoglobulin gene rearrangements, donor vs recipient<br />

origin and EBV status. Monitoring for <strong>the</strong> presence <strong>of</strong> a persistent monoclonal protein<br />

in <strong>the</strong> serum or urine using SPEP (serum protein electrophoresis), UPEP (urine<br />

protein electrophoresis) and IFE (immun<strong>of</strong>ixation electrophoresis) is an effective,<br />

inexpensive and non-invasive way to screen and monitor PTLD in post solid organ<br />

transplant patients. Although guidelines are available for <strong>the</strong> use <strong>of</strong> serum free light<br />

chain (FLC) ratio in <strong>the</strong> screening and monitoring <strong>of</strong> multiple myeloma and o<strong>the</strong>r<br />

B cell dyscrasias, <strong>the</strong> use <strong>of</strong> this ratio in <strong>the</strong> screening and monitoring <strong>of</strong> PTLD has<br />

not been studied. It is not clear what reference range should be used, and how this<br />

quantitative serum assay compares to SPEP/UPEP/IFE.<br />

Methods: We analyzed 75 serum samples <strong>of</strong> consecutive post solid organ transplant<br />

subjects (57 lung transplants, 4 heart, 5 kidney, 3 liver, 3 heart/lung, 2 kidney/lung<br />

and 1 liver/lung) using <strong>the</strong> serum FREELITE assay on a Beckman Immage analyzer.<br />

SPEP, UPEP, IFE results and clinical diagnosis related to PTLD were retrieved from<br />

medical records.<br />

Results: Sixty-three samples had normal SPEP, UPEP and no clinical diagnosis <strong>of</strong><br />

PTLD or o<strong>the</strong>r B cell dyscrasias. In this group, <strong>the</strong> mean <strong>of</strong> free Kappa light chain<br />

concentration was 2.77 mg/dL, median was 1.35 mg/dL, and 95 percentile range<br />

was 0.44-11.18 mg/dL. The mean <strong>of</strong> free Lambda light chain concentration was<br />

2.34 mg/dL, median was 1.52 mg/dL, and 95 percentile range was 0.59-8.17 mg/<br />

dL. The mean <strong>of</strong> Kappa/Lambda ratio was 1.15, median was 0.83, and 95 percentile<br />

range was 0.45-1.56. Twelve samples showed gammopathy on SPEP or UPEP but<br />

no clinical diagnosis <strong>of</strong> PTLD. Using <strong>the</strong> reference range <strong>of</strong> 0.26-1.65 for Kappa/<br />

Lambda ratio, <strong>the</strong> FLC ratio would identify 69 samples as low probability for PTLD,<br />

and 6 samples as high probability for PTLD, which calculated a clinical specificity <strong>of</strong><br />

92%. In contrast, <strong>the</strong> SPEP/UPEP/IFE as screening/monitoring tool for PTLD had a<br />

clinical specificity <strong>of</strong> 84%.<br />

Conclusions: The mean, median and upper 95 percentile range <strong>of</strong> FLC concentrations<br />

in transplant recipients without PTLD and gammopathy were higher than those <strong>of</strong><br />

normal healthy population. The Kappa/Lambda ratio in this population was similar to<br />

that <strong>of</strong> healthy adults. When used as a screening/monitoring tool for PTLD, <strong>the</strong> FLC<br />

ratio demonstrated a higher clinical specificity than SPEP/UPEP/IFE.<br />

A-263<br />

Expansion Tregs and inhibition Th17/Th1 by sirolimus-based regimen<br />

is dependent on STAT-signaling compared with tacrolimus-based<br />

regimen in renal transplant recipients<br />

Y. Li 1 , Y. Shi 2 , Y. Bai 1 , J. Tang 1 , J. Zhang 1 , L. wang 1 . 1 Department <strong>of</strong><br />

Clinical Immunological Laboratory, West China Hospital, Sichuan<br />

University, chengdu, China, 2 Department <strong>of</strong> Nephrology, West China<br />

Hospital, Sichuan University, chengdu, China<br />

Background: Mammalian Target-<strong>of</strong>-Rapamycin inhibitors (mTOR inhibitors,<br />

Sirolimus) has been used as de novo base <strong>the</strong>rapy with steroids and mycophenolate<br />

m<strong>of</strong>etil (MMF) in an effort to completely avoid <strong>the</strong> use <strong>of</strong> CNI (calcineurin<br />

inhibitors). Previous studies have demonstrated sirolimus (SRL), might facilitate<br />

immunoregulation by increasing Treg percentages, recent studies found <strong>the</strong> kinase<br />

A78 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

mTOR has emerged as an important regulator <strong>of</strong> <strong>the</strong> differentiation <strong>of</strong> helper T cells.<br />

So <strong>the</strong> recipients used sirolimus might affect <strong>the</strong> balance <strong>of</strong> <strong>the</strong> Th cells (Th17, Th1<br />

and Treg).<br />

Methods: We included 48 renal transplantation recipient (24 recipient used sirolimus<br />

based regimen coversion from tacrolimus and 24 recipient used tacrolimus based<br />

regimen) and 24 healthy control in our study. Of all <strong>the</strong>se subjects, Th cells and <strong>the</strong><br />

STAT proteins frequencies in <strong>the</strong> peripheral blood were analyzed by flow cytometry<br />

(FCM).At <strong>the</strong> meantime, <strong>the</strong> plasma levels <strong>of</strong> IL-1β, IFN-γ, IL-17, IL-6 and IL-10<br />

were analyzed by Bio-Plex® suspension array system.<br />

Results: Recipients who used tacrolimus based regimen exhibited renal dysfunction<br />

and hypertension.The frequencies <strong>of</strong> Treg cells in TAC group [1.5(1.2-1. 8)] decreased<br />

significantly when compared with SRL group [3.9(2.5-5.5)] and healthy control group<br />

[4.9(3.8-5.5)] (P0.05). The Th17/Treg ration in TAC group<br />

[1.2(0.6-1.6)] decreased significantly when compared with SRL group [0.5(0.3-1.6)]<br />

and healthy control group [0.6(0.2-1.2)] (P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

diagnosis, <strong>the</strong>re is no reliable markers to differentiate CNS patients who will convert<br />

to MS. It´s our aim to study <strong>the</strong> value <strong>of</strong> cerebrospinal fluid (CSF) k light chain in <strong>the</strong><br />

differentiation <strong>of</strong> CNS patients vs EM patients.<br />

Material and methods: CSF samples were collected from 204 consecutive unselected<br />

patients who underwent a lumbar puncture. Patients’ records were reviewed and<br />

several diagnostic subgroups were established. Group 1: Control group with patients<br />

that do not fulfill MS criteria (no oligoclonal bands). Group 2: Patients without<br />

oligoclonal bands but with o<strong>the</strong>r CNS inflammatory diseases. Group 3: Patients with<br />

oligoclonal bands without EM diagnostic. Group 4: Patients with oligoclonal bands<br />

with a confirmed EM diagnostic. Kappa free light chains were quantified in CSF by<br />

nephelometry using polyclonal antibodies based assay. Serum and CSF Albumin and<br />

IgG were also quantified by nephelemotry and IgG Oligoclonal bands (OCB) were<br />

performed by iso-electro-focusing. Statistic analyses were performed with GraphPad<br />

Prism v5. Results are presented in table 1.<br />

Conclusion: The combined used <strong>of</strong> <strong>the</strong> actual criteria toge<strong>the</strong>r with <strong>the</strong> levels <strong>of</strong> CSF<br />

k light chain may add beneficial information to aid in <strong>the</strong> MS diagnostic. K CSF<br />

presented a higher sensitivity and specificity when compared with <strong>the</strong> traditional IgG<br />

index.<br />

Analyte<br />

B/B B/B P/B P/B<br />

Mean SD Mean SD<br />

(B/B) - (P/B) B/B 3xSD<br />

AFP (ng/mL) 11,86 0,57 12,04 0,08 0,17 1,71<br />

aHAV (UI/L) 39,82 4,51 39,29 4,74 0,54 13,54<br />

aHBC (index value) 0,87 0,05 0,91 0,04 0,04 0,15<br />

aHBE (index value) 0,80 0,02 0,81 0,02 0,01 0,06<br />

aHBS (UI/L) 8,95 0,11 9,10 0,26 0,16 0,33<br />

HCGβ (mUI/mL) 1,35 0,18 1,41 0,09 0,06 0,53<br />

CA 125 (U/mL) 34,21 0,60 34,74 1,32 0,53 1,80<br />

CA 15-3 (U/mL) 24,51 0,31 24,60 0,16 0,10 0,93<br />

CA 19-9 (U/mL) 38,79 0,29 39,23 0,52 0,45 0,87<br />

CEA (ng/mL) 4,86 0,11 4,93 0,15 0,07 0,33<br />

fPSA (ng/mL) 0,67 0,01 0,66 0,01 0,01 0,02<br />

aHAV M (index value) 18,43 0,35 18,55 0,32 0,11 1,04<br />

HBSAgII (index value) 1,07 0,08 1,01 0,11 -0,07 0,24<br />

tPSA (ng/mL) 3,86 0,06 3,92 0,05 0,06 0,19<br />

HCV (index value) 2,52 0,98 2,82 0,87 0,30 2,95<br />

Conclusion: Our study suggest Siemens ADVIA Chemistry 2400 characteristics,<br />

such as positive liquid displacement sample probe and analyzer washing system,<br />

are proven to be efficient in preventing carryover, since no statistically or clinically<br />

significant difference was observed. For <strong>the</strong> analytes assessed, minimal analytical<br />

laboratory error is expected due to carryover.<br />

A-269<br />

Anti-dsDNA: How to trust in results from different kits and methods ?<br />

e. A. rosseto 1 , P. Estelha 2 , I. Cunha 2 , A. Oliveira 2 , N. Z. Maluf 2 , K. I. L. C.<br />

Salmazi 3 , C. L. Pitangueira Mangueira 1 . 1 Hospital Albert Einstein / HC-<br />

FMUSP, São Paulo, Brazil, 2 HC-FMUSP, São Paulo, Brazil, 3 Hospital<br />

Albert Einstein / USP, São Paulo, Brazil<br />

A-268<br />

Evaluation <strong>of</strong> potential sample-to-sample carryover between chemistry<br />

and immunoassay systems<br />

O. V. P. Denardin, L. K. Tirado, C. A. O. Galoro, S. S. Almeida. DASA,<br />

São Paulo, Brazil<br />

Background: The laboratory automation systems have allowed laboratories to reduce<br />

<strong>the</strong>ir aliquotting needs. However, sharing samples for testing between chemistry and<br />

immunoassay systems may cause carryover between samples. Carryover is defined<br />

as <strong>the</strong> transfer <strong>of</strong> a small portion <strong>of</strong> one sample to <strong>the</strong> sample immediately following<br />

it in <strong>the</strong> testing sequence <strong>of</strong> <strong>the</strong> analyzer. Cross contamination between samples can<br />

possibly produce false positive results.<br />

Objectives: The aim <strong>of</strong> this study was to evaluate sample-to-sample carryover when<br />

sharing samples between chemistry and immunoassay systems and its clinical impact.<br />

Methods: Carryover was assessed for fifteen analytes, using Control Lab protocol:<br />

two pools were prepared, collecting 10 positive and 10 borderline samples, for each<br />

immunoassay analyte. The positive sample pool (P) and <strong>the</strong> borderline sample pool<br />

(B) were aliquoted into a total <strong>of</strong> 21 tubes. The aliquots were processed in a specific<br />

sequence on <strong>the</strong> ADVIA® Chemistry 2400 (Siemens Healthcare Diagnostics),<br />

alternating <strong>the</strong> pools. Finally, <strong>the</strong> aliquots were assessed on Modular Analytics<br />

EVO (Roche Diagnostics). The mean <strong>of</strong> low concentration aliquots measured after<br />

high concentration aliquots (P/B) was calculated and compared to <strong>the</strong> mean <strong>of</strong> low<br />

concentration aliquots following low concentration aliquots (B/B). Sample-tosample<br />

carryover was determined as <strong>the</strong> difference between <strong>the</strong>se means. Significant<br />

carryover was detected If <strong>the</strong> difference between P/B and B/B was higher than 3<br />

standard deviations (SD) from <strong>the</strong> <strong>of</strong> B/B value.<br />

Results: According to data shown in <strong>the</strong> table bellow, no statistically significant<br />

sample-to-sample carryover was detected when sharing samples between ADVIA<br />

Chemistry and Modular Analytics EVO.<br />

Background:The tests currently used to detect anti-dsDNA are <strong>the</strong> enzyme-linked<br />

immunosorbent assay (EIA) and <strong>the</strong> Indirect Immun<strong>of</strong>lluorescence (IFI) Crithidia<br />

luciliae test. However, discordant results between <strong>the</strong> different EIA kits and between<br />

EIA and IFI are commonly found in clinical practice and put <strong>the</strong> credibility <strong>of</strong> clinical<br />

laboratories under suspicion.<br />

Methods: In this study we used 4 commercial EIA kits and 3 commercial IFI kits<br />

to detect and quantify anti-dsDNA. The degree <strong>of</strong> correlation between <strong>the</strong>m was<br />

measured, in a effort to show <strong>the</strong> possible result variations that a clinician can find<br />

by just changing <strong>the</strong> laboratory <strong>of</strong> analysis.We used 69 blood samples, ordered by<br />

a clinician for dosage <strong>of</strong> anti-dsDNA in a clinical laboratory <strong>of</strong> São Paulo, Brasil.<br />

These samples were selected: <strong>the</strong> negative results from <strong>the</strong> two methods; high positive<br />

reactant and low reactant by ELISA with IFI reactant; and not reactant for both. The<br />

EIA kits used dominant A, B, C and D and <strong>the</strong> kits <strong>of</strong> IFI Crithidia 1, 2 and 3. For<br />

<strong>the</strong> screen <strong>of</strong> samples we used EIA kit A (reference value 200 U/mL), <strong>the</strong> correlation<br />

between <strong>the</strong> EIA kits was 77,7% and between IFI kits was 91,6%. Only EIA (B) and<br />

(C) kits Kappa > 75% (77,9%). Only IFI (2) and (3) kits Kappa >75% (82,5%). The<br />

EIA >200 U/mL we found a high correlation between EIA and IFI. The EIA


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-270<br />

Measurement <strong>of</strong> serum free light chain levels in HIV patients using a<br />

new rapid lateral flow test<br />

J. Campbell, A. Stride, Y. Wang, M. Goodall, S. Bonney, A. Chamba,<br />

T. Plant, Z. Afzal, R. Jefferies, M. Drayson. University <strong>of</strong> Birmingham,<br />

Birmingham, United Kingdom<br />

Background: B cell dysregulation contributes to immunodeficiency, risk <strong>of</strong> AIDS<br />

and risk <strong>of</strong> B cell Non Hodgkins Lymphoma (NHL) in HIV patients. As viral load<br />

increases and CD4 counts decline, this B cell dysregulation is characterised by<br />

an increased production <strong>of</strong> intact immunoglobulins (e.g., IgA, IgM, IgG) and free<br />

light chains (FLC). Partly because FLC half-life in serum is 3-6 hours, compared to<br />

5-21 days for intact immunoglobulin, FLCs are <strong>of</strong>ten regarded as a more sensitive<br />

marker <strong>of</strong> B cell activation. Two recent studies have demonstrated that levels <strong>of</strong> κ<br />

or λ FLC >40mg/L were associated with a greater odds-ratio <strong>of</strong> acquiring AIDSdefining<br />

infections and NHL. At present, laboratory FLC tests <strong>of</strong>fer <strong>the</strong> only means <strong>of</strong><br />

quantitating FLC and require expensive analytical instrumentation, skilled personnel<br />

and <strong>of</strong>ten a turnaround time <strong>of</strong> many days. The aim <strong>of</strong> this study was to assess <strong>the</strong><br />

clinical utility <strong>of</strong> a new and cost-effective rapid lateral-flow test that quantitates serum<br />

and urine FLC in 10 minutes (Seralite).<br />

Methods: Stored sera from HIV patients were tested for FLC by Seralite and results<br />

correlated with serum FLC levels measured by Freelite, total IgA, IgM, IgG, and CD4<br />

counts. Samples were selected based on known FLC levels (Freelite) falling within<br />

<strong>the</strong> following deciles (n=25 per decile): 0-10, 11-20, 21-30, 31-40 and 50+ mg/L for<br />

κ and λ FLC.<br />

Results: Results revealed that Seralite and Freelite had excellent quantitative<br />

concordance. Supporting prior findings, FLC levels were positively associated with<br />

total immunoglobulin levels, and negatively associated with CD4 counts.<br />

Conclusion: Prospective use <strong>of</strong> Seralite to monitor FLC levels as an indicator <strong>of</strong><br />

B cell dysregulation in HIV patients should now be investigated. Use <strong>of</strong> Seralite as<br />

a surrogate for CD4 counts in resource-limited settings should also be investigated.<br />

A-271<br />

The Method Matters: Multiple Macroenzymes Detected in <strong>the</strong><br />

Presence <strong>of</strong> Hypergammaglobulinemia<br />

S. P. Wyness 1 , S. L. La’ulu 1 , M. Yee 2 , L. Tosiello 3 , J. A. Straseski 4 . 1 ARUP<br />

Institute for Clinical and Experimental Pathology, Salt Lake City, UT,<br />

2<br />

SUNY, StonyBrook School <strong>of</strong> Medicine, StonyBrook, NY, 3 Department<br />

<strong>of</strong> Medicine Jersey City Medical Center, Jersey City, NJ, 4 Department <strong>of</strong><br />

Pathology, University <strong>of</strong> Utah, Salt Lake City, UT<br />

Background: We report <strong>the</strong> finding <strong>of</strong> an individual with hypergammaglobulinemia,<br />

elevated creatinine kinase (CK), elevated liver enzymes, and amylase concentrations<br />

at <strong>the</strong> high end <strong>of</strong> <strong>the</strong> normal range. Patient denied any symptoms associated with <strong>the</strong>se<br />

values (myalgia, fevers, rashes, chest pain, or muscle weakness). The elevated CK was<br />

determined to be due to immunoglobulin bound macro-CK type 1, thus macroenzymes<br />

were considered as a possible source <strong>of</strong> <strong>the</strong> elevated liver enzymes. The presence <strong>of</strong><br />

multiple macroenzymes, and <strong>the</strong> possible role <strong>of</strong> hypergammaglobulinemia, has not<br />

been previously reported in <strong>the</strong> literature.<br />

Methods: Polyethylene glycol (PEG) precipitation and ultrafiltration (UF) were<br />

used to evaluate <strong>the</strong> presence <strong>of</strong> seven macroenzymes (alkaline phosphatase (ALP),<br />

alanine aminotransferase (ALT), amylase (AMYL), aspartate aminotransferase<br />

(AST), CK, lactate dehydrogenase (LD) and lipase (LIP)). Monomeric recoveries<br />

were determined by dividing <strong>the</strong> activity <strong>of</strong> <strong>the</strong> supernatant or ultrafiltrate by <strong>the</strong> neat<br />

activity and converting to a percent. Results were compared to previously reported<br />

reference intervals established in healthy populations.<br />

Results: PEG monomeric recoveries suggested <strong>the</strong> presence <strong>of</strong> 6 <strong>of</strong> <strong>the</strong> 7<br />

macroenzymes tested (all but ALP). UF revealed <strong>the</strong> presence <strong>of</strong> three macroenzymes<br />

(CK, AST and AMYL). These results were observed on two separate occasions, 10<br />

months apart. Previous data had indicated that UF was <strong>the</strong> more precise method <strong>of</strong><br />

macroenzyme detection <strong>of</strong> CK, AST, AMYL, LD, and LIP (Wyness et al., Clin Chim<br />

Acta, 2010 and 2011).<br />

Conclusions: The macroenzymes identified by UF supported <strong>the</strong> clinical presentation<br />

<strong>of</strong> elevated CK and AST. MacroAMYL was also detected by UF, despite high-normal<br />

AMYL values. However, normal serum AMYL in <strong>the</strong> presence <strong>of</strong> macroAMYL is<br />

well documented. A previous report has shown that when globulins are present in<br />

excess, PEG may co-precipitate monomeric enzymes along with serum globulins,<br />

causing false-positive reporting <strong>of</strong> macroenzymes (Ram et al., Ann Clin Biochem,<br />

2008). This mechanism may explain <strong>the</strong> discrepancy between PEG and UF results<br />

in <strong>the</strong> presence <strong>of</strong> hypergammaglobulinemia, making UF a better method <strong>of</strong><br />

detection in <strong>the</strong>se circumstances. The presence <strong>of</strong> multiple macroenzymes in a single<br />

patient is novel, however, <strong>the</strong> preferential use <strong>of</strong> UF needs to be confirmed in o<strong>the</strong>r<br />

hypergammaglobulinemic patients.<br />

A-272<br />

Evaluation <strong>of</strong> a novel IgG assay for use on <strong>the</strong> Binding Site Next<br />

Generation Protein Analyser<br />

S. Kausar, A. J. Alvi, S. J. Harding, P. J. Showell. The Binding Site Ltd.,<br />

Birmingham, United Kingdom<br />

IgG is a routinely assessed serum protein whose concentration can be diagnostically<br />

useful in a wide range <strong>of</strong> diseases, including infection, autoimmune conditions,<br />

chronic lymphocytic leukemia and multiple myeloma. We present <strong>the</strong> performance<br />

characteristics <strong>of</strong> a new immunoassay designed for <strong>the</strong> quantification <strong>of</strong> IgG in human<br />

serum using <strong>the</strong> Binding Site’s next generation protein analyser. The instrument is a<br />

random-access bench top turbidimetric analyser capable <strong>of</strong> a wide range <strong>of</strong> on-board<br />

sample dilutions (up to 1/10,000) and throughput <strong>of</strong> up to 120 tests per hour. Precision<br />

is promoted by single-use cuvettes which are automatically loaded and disposed <strong>of</strong>.<br />

The measuring range <strong>of</strong> <strong>the</strong> assay at a standard 1/10 dilution is 1.65 to 35.0g/L with<br />

reflex dilutions above and below <strong>the</strong> standard range, giving a higher range <strong>of</strong> 6.60 to<br />

140.0g/L and a sensitivity <strong>of</strong> 0.165g/L when using neat sample. Linearity <strong>of</strong> <strong>the</strong> assay<br />

was established by running a serially-diluted patient sample across <strong>the</strong> width <strong>of</strong> <strong>the</strong><br />

standard measuring range and comparing <strong>the</strong> observed and expected results. Assay<br />

linearity was demonstrated over a range <strong>of</strong> 1.711 to 37.392g/L with a linear regression<br />

equation <strong>of</strong> y = 0.9705x + 0.2622, (R 2 = 0.9972). The assay was evaluated for intrarun<br />

precision across <strong>the</strong> width <strong>of</strong> <strong>the</strong> standard measuring range by measurement<br />

<strong>of</strong> twenty replicates <strong>of</strong> sample pools at relevant medical decision points and <strong>the</strong><br />

extremities <strong>of</strong> <strong>the</strong> curve (Sample 1, 3.097g/L, CV = 2.15%), lower medical decision<br />

point <strong>of</strong> 6.295g/L (Sample 2, CV = 1.55%), upper medical decision point <strong>of</strong> 15.523g/L<br />

(Sample 3, CV = 1.98%) and at <strong>the</strong> upper level <strong>of</strong> <strong>the</strong> curve (Sample 4, 33.116g/L,<br />

CV = 1.16%). Antigen excess capacity was determined as 195g/L by extending <strong>the</strong><br />

upper range <strong>of</strong> <strong>the</strong> calibration curve. Interference was tested by <strong>the</strong> addition <strong>of</strong> known<br />

concentrations <strong>of</strong> Bilirubin (200mg/L), Chyle (1500 formazine turbidity units) or<br />

Haemoglobin (5g/L) to serum samples (median 11.711g/L; range 1.880 – 19.696g/L).<br />

No significant (±10%) interference was observed. A comparison was made between<br />

this assay and <strong>the</strong> IgG assay for <strong>the</strong> Binding Site SPA PLUS using 28 normal (range<br />

10.322 – 22.173g/L) and 37 pathological (range 2.869 – 34.50g/L) sera. A Passing &<br />

Bablok regression equation <strong>of</strong> y = 0.99x – 0.03 demonstrated acceptable agreement<br />

between <strong>the</strong> two assays with no sample having a greater than 9.49% discordance.<br />

The results presented allow us to conclude that <strong>the</strong> IgG assay for <strong>the</strong> Binding Site<br />

next generation protein analyser is reliable, precise and accurate and shows good<br />

agreement with <strong>the</strong> SPA PLUS assay.<br />

A-273<br />

Evaluation <strong>of</strong> immunoglobulin free light chain (Freelite®) assays on<br />

<strong>the</strong> Binding Site Next Generation Protein Analyser<br />

D. G. McEntree, M. D. Coley, D. J. Matters, S. J. Harding, H. D. Carr-<br />

Smith, P. J. Showell. The Binding Site Ltd, Birmingham, United Kingdom<br />

International guidelines based upon <strong>the</strong> Freelite® assay recommend use <strong>of</strong> serum<br />

free light chain (FLC) measurements as an aid in <strong>the</strong> diagnosis <strong>of</strong> patients with B<br />

cell disorders and as tools to monitor patients with AL amyloidosis, non-secretory<br />

myeloma and light chain myeloma. Here we describe <strong>the</strong> development <strong>of</strong> <strong>the</strong> Freelite<br />

assay for <strong>the</strong> Binding Site’s Next Generation Protein Analyser. The instrument is a<br />

random-access bench top turbidimetric analyser capable <strong>of</strong> a wide range <strong>of</strong> on board<br />

sample dilutions (up to 1/10,000), throughput <strong>of</strong> up to 120 tests per hour and multiple<br />

methods <strong>of</strong> antigen excess detection. Precision is promoted by single use cuvettes<br />

which are automatically loaded and disposed <strong>of</strong>. The instrument automatically dilutes<br />

a single calibrator to produce a calibration curve producing measuring ranges <strong>of</strong><br />

4-180g/L for Kappa FLC and 4.5-165mg/L for Lambda FLC at <strong>the</strong> standard 1/10<br />

sample dilution. There was acceptable intra-assay precision when levels <strong>of</strong> 134mg/L<br />

(2.2% CV) and 6.5mg/L (4.9%) for kappa FLC, and 130mg/L (1.0%) and 7.56mg/L<br />

(3.7%) for lambda FLC were run twenty times on a single calibration curve. Similarly,<br />

<strong>the</strong>re was good linearity for <strong>the</strong> kappa (y = 0.99x + 0.99mg/L; R 2 = 1.00) and lambda<br />

(y = 1.01x + 0.07mg/L; R 2 = 1.00) FLC assays as determined by serial dilutions <strong>of</strong> a<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A81


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Immunology<br />

sample across <strong>the</strong> width <strong>of</strong> <strong>the</strong> calibration curves at <strong>the</strong> minimum sample dilution.<br />

Comparison <strong>of</strong> <strong>the</strong>se assays to Freelite BN TM II assays for 141 kappa (79 normal, 62<br />

monoclonal, mean 535.20mg/L, range 1.13-17,868.19mg/L) and 129 lambda (79<br />

normal, 50 monoclonal, 275.06mg/L, range 0.52-3833.94mg/L) FLC samples showed<br />

good agreement (kappa, y=0.91x + 43.91mg/L R 2 = 0.98, and lambda, y=0.97x -<br />

4.28g/L; R 2 = 0.96). A selected population <strong>of</strong> 9 kappa and 9 lambda FLC samples were<br />

analysed at a non-standard dilution to mimic antigen excess. In all cases (9/9 kappa<br />

and 9/9 lambda) antigen excess samples were identified by <strong>the</strong> instruments protective<br />

function. We conclude that <strong>the</strong> Freelite assays for <strong>the</strong> Binding Site Next Generation<br />

Protein Analyser are rapid, accurate and precise and protected from false low results<br />

by <strong>the</strong> instruments automatic antigen excess check function.<br />

A-274<br />

Evaluation <strong>of</strong> a C4 assay for use on <strong>the</strong> Binding Site Next Generation<br />

Protein Analyser<br />

P. S. Patel, F. Murphy, S. J. Harding, P. J. Showell. The Binding Site Ltd,<br />

Birmingham, United Kingdom<br />

Serum complement consists <strong>of</strong> around 30 proteins that have a fundamental role in<br />

immune system functionality. Inherited deficiencies in C4 are associated with an<br />

increased risk <strong>of</strong> developing systemic lupus ery<strong>the</strong>matosus (SLE). Conversely, high<br />

levels <strong>of</strong> circulating immune complexes in SLE can reduce serum levels <strong>of</strong> complement<br />

components. C4 deficiency is also associated with glomerulonephritis and vasculitis.<br />

Here we describe <strong>the</strong> evaluation <strong>of</strong> a serum C4 assay for Binding Site’s next generation<br />

protein analyser. The instrument is a random-access bench top turbidimetric analyser<br />

capable <strong>of</strong> a wide range <strong>of</strong> on-board sample dilutions (up to 1/10,000) and throughput<br />

<strong>of</strong> up to 120 tests per hour. Precision is promoted by single-use cuvettes which are<br />

automatically loaded and disposed <strong>of</strong>. The instrument automatically dilutes a single<br />

calibrator to produce a calibration curve with a measuring range <strong>of</strong> 0.064 - 0.9 g/L at<br />

<strong>the</strong> standard 1/10 sample dilution, with sensitivity <strong>of</strong> 0.0064 g/L. High samples are<br />

remeasured at a dilution <strong>of</strong> 1/20 with an upper measuring range <strong>of</strong> 0.128 -1.8 g/L.<br />

Precision studies (CLSI EP5-A2) were performed at three levels in duplicate over 21<br />

working days. Antigen levels <strong>of</strong> 0.779, 0.166 and 0.117g/L were assessed for total,<br />

within-run, between-run and between-day precision, using one lot <strong>of</strong> reagent on three<br />

analysers. The coefficients <strong>of</strong> variation were 4.4%, 2.2%, 2.0% and 3.3% for <strong>the</strong> high<br />

sample, 7.7%, 2.2%, 1.5% and 7.3% for <strong>the</strong> medium sample and 5.2%, 2.0% 2.4% and<br />

4.1% for <strong>the</strong> low sample respectively. Linearity was assessed by assaying a seriallydiluted<br />

patient sample pool across <strong>the</strong> width <strong>of</strong> <strong>the</strong> measuring range (0.001 - 0.882<br />

g/L) and comparing expected versus observed results. The assay showed a high degree<br />

<strong>of</strong> linearity when expected values were regressed against measured values (y=1.013x<br />

+ 0.0177 R² = 0.998. No significant interference (within ±10%) was observed on<br />

addition <strong>of</strong> bilirubin (200mg/L), haemoglobin (5000mg/L) or chyle (1500 formazine<br />

turbidity units) when spiked into to samples with known C4 concentrations at <strong>the</strong><br />

minimum sample dilution. Correlation to <strong>the</strong> Binding Site C4 assay for <strong>the</strong> SPA PLUS<br />

was performed using normal and clinical samples (n=70, range 0.028-0.839g/L).<br />

Good agreement was demonstrated by Passing-Bablok regression; y=0.98x + 0.0g/L.<br />

We conclude that <strong>the</strong> C4 assay for <strong>the</strong> Binding Site next generation protein analyser is<br />

reliable, accurate and precise and shows good agreement with existing assays.<br />

A-275<br />

Evaluation <strong>of</strong> a novel assay for IgA subclasses for use on <strong>the</strong> Binding<br />

Site Next Generation Protein Analyser<br />

S. K. Dhaliwal, N. L. Gilman, A. J. Alvi, S. J. Harding, P. J. Showell. The<br />

Binding Site Ltd., Birmingham, United Kingdom<br />

There are two human IgA subclasses (IgA1 and IgA2), <strong>of</strong> which IgA1 is <strong>the</strong> most<br />

abundant in serum, representing 80-90% <strong>of</strong> total IgA. Elevated levels <strong>of</strong> ei<strong>the</strong>r or both<br />

subclass may indicate infection whilst reduced levels are associated with IgA subclass<br />

specific immune-deficiencies. Here we present <strong>the</strong> performance characteristics <strong>of</strong><br />

two new IgA subclass immunoassays designed for <strong>the</strong> quantification <strong>of</strong> IgA1 and<br />

IgA2 in human serum using <strong>the</strong> Binding Site next generation protein analyser. The<br />

instrument is a random-access bench top turbidimetric analyser capable <strong>of</strong> a wide<br />

range <strong>of</strong> on-board sample dilutions (up to 1/10,000) and throughput <strong>of</strong> up to 120<br />

tests per hour. Precision is promoted by single-use cuvettes which are automatically<br />

loaded and disposed <strong>of</strong>, thus eliminating <strong>the</strong> risk <strong>of</strong> cuvette carry-over. Linearity <strong>of</strong> <strong>the</strong><br />

assays was established by running serially-diluted patient samples across <strong>the</strong> width<br />

<strong>of</strong> <strong>the</strong> standard measuring range and comparing <strong>the</strong> observed and expected results.<br />

Interference was tested by <strong>the</strong> addition <strong>of</strong> known concentrations <strong>of</strong> Haemoglobin<br />

(5g/L), Bilirubin (200mg/L) or Chyle (1500 formazine turbidity units) to serum<br />

samples at <strong>the</strong> immune-deficiency medical decision points (IgA1: 760mg/L, IgA2:<br />

67.260mg/L). The assays were evaluated for intra-run precision across <strong>the</strong> width <strong>of</strong><br />

<strong>the</strong>ir standard measuring ranges by measurement <strong>of</strong> twenty replicates <strong>of</strong> sample pools<br />

at points emphasising <strong>the</strong> lower and upper portions <strong>of</strong> <strong>the</strong> curve. A comparison study<br />

was performed between <strong>the</strong>se assays and <strong>the</strong> equivalent assays for <strong>the</strong> Binding Site<br />

SPA PLUS.<br />

Assay IgA1 IgA2<br />

Range 362.12 – 6156.0 mg/L 50.92 – 1273.0 mg/L<br />

Minimum sample<br />

1/1 1/1<br />

dilution<br />

Standard sample<br />

1/10 1/10<br />

dilution<br />

Sensitivity 36.2 mg/L 5.092 mg/L<br />

Linearity – linear<br />

y = 0.9995x – 0.4164, R<br />

regression<br />

2 = 0.9994 y = 1.0011x – 3.0844, R2 =<br />

0.9965<br />

Interference –<br />

-3.31% -0.52%<br />

Haemoglobin<br />

Interference –<br />

2.44% -0.80%<br />

Bilirubin<br />

Interference – Chyle 4.91% -3.96%<br />

y = 0.9978x – 97.164, R<br />

Comparison-linear<br />

2 = y = 1.0469x + 18.445, R 2 =<br />

0.9947 (n = 46, range = 462.9 – 0.9909 (n = 49, range = 57.4 –<br />

regression<br />

6156.0mg/L)<br />

1012.0mg/L)<br />

Intra-assay precision<br />

(n=20) %CV (Mean)<br />

0.78%<br />

(4954.59mg/L)<br />

1.04%<br />

(504.915mg/L)<br />

1.74%<br />

(894mg/L)<br />

1.14%<br />

(80mg/L)<br />

The results presented above allow us to conclude that <strong>the</strong> IgA1 and IgA2 assays for<br />

<strong>the</strong> Binding Site next generation protein analyser are reliable, precise and accurate and<br />

show good agreement with <strong>the</strong> SPA PLUS assays.<br />

A-276<br />

Evaluation <strong>of</strong> a C3c assay for use on <strong>the</strong> Binding Site Next Generation<br />

Protein Analyser<br />

L. W. Aston-Abbott, F. Murphy, S. J. Harding, P. J. Showell. The Binding<br />

Site Ltd, Birmingham, United Kingdom<br />

Serum complement consists <strong>of</strong> around 30 proteins that have a fundamental role in<br />

immune system functionality. Inherited deficiencies in C3c are associated with an<br />

increased risk <strong>of</strong> developing systemic lupus ery<strong>the</strong>matosus (SLE). C3c deficiency<br />

may present with recurrent infections such as pneumonia, septicaemia and meningitis.<br />

Here we describe <strong>the</strong> evaluation <strong>of</strong> a serum C3c assay for use on <strong>the</strong> Binding Site’s<br />

next generation protein analyser. The instrument is a random-access bench top<br />

turbidimetric analyser capable <strong>of</strong> a wide range <strong>of</strong> on-board sample dilutions (up<br />

to 1/10,000) and throughput <strong>of</strong> up to 120 tests per hour. Precision is promoted by<br />

single-use cuvettes which are automatically loaded and disposed <strong>of</strong>. The instrument<br />

automatically dilutes a single calibrator to produce a calibration curve with a<br />

measuring range <strong>of</strong> 0.25-3.0g/L at <strong>the</strong> standard 1/10 sample dilution, with sensitivity<br />

<strong>of</strong> 0.025g/L. High samples are automatically re-measured at a dilution <strong>of</strong> 1/20, with an<br />

upper measuring range <strong>of</strong> 0.5-6g/L. Precision studies (CLSI EP5-A2) were performed<br />

at three levels in duplicate over 21 working days. Antigen levels <strong>of</strong> 2.39, 0.793 and<br />

0.39g/L were assessed for total, within-run, between-run and between-day precision,<br />

using one lot <strong>of</strong> reagent on three analysers. The coefficients <strong>of</strong> variation were 4.1%,<br />

1.8%, 2.5% and 2.7% for <strong>the</strong> high sample, 4.9%, 1.5%, 1.7% and 4.4% for <strong>the</strong> medium<br />

sample and 4.0%, 2.1% 1.4% and 3.2% for <strong>the</strong> low sample respectively. Linearity was<br />

assessed by assaying a serially-diluted patient sample pool across <strong>the</strong> width <strong>of</strong> <strong>the</strong><br />

measuring range (0.303-3.036g/L) and comparing expected versus observed results.<br />

The assay showed a high degree <strong>of</strong> linearity when expected values were regressed<br />

against measured values (y=1.03x + 0.017g/L, R² = 0.998). No significant interference<br />

(within ±10%) was observed on addition <strong>of</strong> bilirubin (200mg/L), haemoglobin<br />

(5000mg/L) or chyle (1250 formazine turbidity units) when spiked into a sample with<br />

known C3c concentrations analysed at <strong>the</strong> minimum sample dilution. Correlation to<br />

<strong>the</strong> Binding Site C3c assay for <strong>the</strong> SPA PLUS was performed using both normal and<br />

clinical samples (n=78, range 0.41-4.75g/L). Good agreement was demonstrated by<br />

Passing-Bablok regression; y=0.95x + 0.01g/L. We conclude that <strong>the</strong> C3c assay for<br />

<strong>the</strong> Binding Site next generation protein analyser is reliable, accurate and precise and<br />

shows good agreement with existing assays.<br />

A82 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Immunology<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-277<br />

Evaluation <strong>of</strong> an IgG4 assay for use on <strong>the</strong> Binding Site Next<br />

Generation Protein Analyser<br />

L. D. Southan, R. E. Grieveson, A. Kaur, S. J. Harding, P. J. Showell. The<br />

Binding Site Ltd, Birmingham, United Kingdom<br />

High polyclonal IgG4 levels are associated with autoimmune pancreatitis (AIP) and<br />

o<strong>the</strong>r hyper-IgG4-globulinemia’s. Here we evaluate <strong>the</strong> performance <strong>of</strong> an IgG4 assay<br />

for use on <strong>the</strong> Binding Site’s next generation protein analyser. The instrument is a<br />

random-access bench top turbidimetric analyser capable <strong>of</strong> a wide range <strong>of</strong> on-board<br />

sample dilutions (up to 1/10,000) and throughput <strong>of</strong> up to 120 tests per hour. Precision<br />

is promoted by single-use cuvettes which are automatically loaded and disposed <strong>of</strong>.<br />

The instrument automatically dilutes a single calibrator to produce a calibration curve<br />

with a measuring range <strong>of</strong> 0.03-3g/L at <strong>the</strong> standard 1/25 sample dilution, with a<br />

sensitivity <strong>of</strong> 0.0024g/L and a maximimum measuring range <strong>of</strong> 1.5-60g/L at a 1/500<br />

dilution. Intra-run precision was assessed by measurement <strong>of</strong> twenty replicates <strong>of</strong><br />

serum samples on a single kit lot using one instrument. The following coefficients<br />

<strong>of</strong> variation were produced: 0.073g/L IgG4 (4.64% CV), 1.126g/L IgG4 (2.66% CV)<br />

and 2.187g/L IgG4 (2.56% CV). Linearity was assessed by assaying a serially-diluted<br />

patient sample pool and comparing expected versus observed results. The assay was<br />

linear over <strong>the</strong> range <strong>of</strong> 0.03-2.39g/L when analysed by linear regression; y=0.9751x<br />

+ 4.506 (R 2 =0.995). Correlation to <strong>the</strong> Binding Site IgG4 assay for <strong>the</strong> SPA PLUS was<br />

performed using 42 patient samples (range 0.026-2.39g/L). Acceptable agreement<br />

was observed when <strong>the</strong> data was analysed by Passing-Bablok regression; y=0.97x +<br />

9.11. Antigen excess protection was assessed by measuring 18 analyte concentrations<br />

ranging 0.038-2.37g/L at <strong>the</strong> minimum sample dilution (equivalent to 0.96-59.2g/L at<br />

<strong>the</strong> standard 1/25 sample dilution). All samples up to 2.37g/L (equivalent to 59.2g/L<br />

at <strong>the</strong> standard sample dilution) were correctly flagged. We conclude that <strong>the</strong> IgG4<br />

assay for <strong>the</strong> Binding Site next generation protein analyser is reliable, accurate and<br />

precise and is protected from antigen excess when challenged with high serum IgG4<br />

concentrations.<br />

A-278<br />

Evaluation <strong>of</strong> a Transferrin assay for use on <strong>the</strong> Binding Site Next<br />

Generation Protein Analyser<br />

S. Amin, F. Murphy, S. J. Harding, P. J. Showell. The Binding Site Ltd,<br />

Birmingham, United Kingdom<br />

Increased serum concentrations <strong>of</strong> transferrin are associated with iron deficiency,<br />

pregnancy and oestrogen administration, whereas decreased serum concentrations<br />

occur with chronic infection, neoplasia, hepatic and renal disease. Here we describe<br />

<strong>the</strong> evaluation <strong>of</strong> a serum transferrin assay for use on <strong>the</strong> Binding Site’s next generation<br />

protein analyser. The instrument is a random-access bench top turbidimetric analyser<br />

capable <strong>of</strong> a wide range <strong>of</strong> on-board sample dilutions (up to 1/10,000) and throughput<br />

<strong>of</strong> up to 120 tests per hour. Precision is promoted by single-use cuvettes which are<br />

automatically loaded and disposed <strong>of</strong>. The instrument automatically dilutes a single<br />

calibrator to produce a calibration curve with a measuring range <strong>of</strong> 0.1333- 5.3330<br />

g/L at <strong>the</strong> standard 1/10 sample dilution, with sensitivity <strong>of</strong> 0.1333 g/L. High samples<br />

are remeasured at a dilution <strong>of</strong> 1/40 with an upper measuring range <strong>of</strong> 0.5332 -<br />

21.332 g/L. The assay time is 9 minutes and is read at end point. Intra-run precision<br />

was assessed by measurement <strong>of</strong> twenty replicates <strong>of</strong> samples at 4.417g/L (3.18%<br />

CV), 4.382 g/L (2.37% CV) and 0.223 g/L (1.02% CV). Fur<strong>the</strong>rmore, precision<br />

was assessed at <strong>the</strong> medical decision points <strong>of</strong> 3.407g/L (2.29% CV) and 2.108 g/L<br />

(1.22% CV). Linearity was assessed by assaying a serially-diluted patient sample pool<br />

across <strong>the</strong> width <strong>of</strong> <strong>the</strong> measuring range (0.078 – 5.745 g/L) and comparing expected<br />

versus observed results. The assay showed a high degree <strong>of</strong> linearity when expected<br />

values were regressed against measured values; y=0.9932x + 0.072, R² = 0.9991. No<br />

significant interference (within 10%) was observed on addition <strong>of</strong> bilirubin (200mg/L),<br />

haemoglobin (5000mg/L) or chyle (1500 formazine turbidity units) when spiked into<br />

a sample with known transferrin concentrations and measured at <strong>the</strong> minimum sample<br />

dilution. Correlation <strong>of</strong> this assay with <strong>the</strong> equivalent assay for <strong>the</strong> Binding Site SPA<br />

PLUS was performed using normal and clinical serum samples (n=60, range 0.4435<br />

– 4.4425 g/L). Good agreement was demonstrated by linear regression; y=1.0755x<br />

+ 0.0648 g/L, R 2 = 0.9898. We conclude that <strong>the</strong> transferrin assay for <strong>the</strong> Binding<br />

Site next generation protein analyser is reliable, accurate and precise and shows good<br />

agreement with existing assays.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A83


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

A-279<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Endocrinology/Hormones<br />

Comparison <strong>of</strong> equilibrium dialysis, ultrafiltration and constantvolume<br />

diafiltration as potential methods for <strong>the</strong> measurement <strong>of</strong> free<br />

thyroxine and triiodothyronine in human serum by isotope dilution<br />

liquid chromatography tandem mass spectrometry<br />

A. Ribera, J. C. Botelho, H. W. Vesper. Centers for Disease Control and<br />

Prevention, Atlanta, GA<br />

Background: Free triiodothyronine (FT3) and free thyroxine (FT4) levels are<br />

routinely measured in serum as an important part <strong>of</strong> <strong>the</strong> diagnosis and management<br />

<strong>of</strong> hypo- and hyperthyroidism. Measurement <strong>of</strong> FT3 and FT4, is <strong>the</strong> measurement <strong>of</strong><br />

<strong>the</strong> hormones which are not bound to thyroxine binding globulin, transthyretin and<br />

albumin. Although immunoassays for FT3 and FT4 are commonly used in patient<br />

care and research, <strong>the</strong>se assays show high variability especially in samples collected<br />

during pregnancy and estrogen <strong>the</strong>rapy use. The use <strong>of</strong> mass spectrometry (MS) can<br />

overcome <strong>the</strong>se short comings. The measurement <strong>of</strong> FT3 and FT4 by MS require that<br />

<strong>the</strong> free hormone be isolated. Two <strong>of</strong> <strong>the</strong> most common practices used to isolate FT3<br />

and FT4 from serum are equilibrium dialysis (ED) and ultrafiltration (UF). A third<br />

method, diafiltration (DF) is designed to overcome lengthy dialysis times and avoid<br />

possible disruption <strong>of</strong> equilibrium and conversion <strong>of</strong> free to bound thyroid hormone.<br />

The proposed DF method maintains FT3 and FT4 equilibrium by keeping sample<br />

volume constant during filtration <strong>of</strong> FT3 and FT4 from <strong>the</strong> protein bound analytes.<br />

Methods: The efficiency <strong>of</strong> each isolation technique has been evaluated using an<br />

internal standard spiking scheme using a 0.9% saline solution with FT3 and FT4<br />

added. Prior to analysis by MS, anion exchange solid phase extraction is used and<br />

chromatographic separation and quantitation is achieved by liquid chromatography<br />

tandem mass spectrometry. A triple quadrupole mass spectrometer using electrospray<br />

ionization in <strong>the</strong> positive mode coupled with HPLC is used for measurement. A<br />

gradient <strong>of</strong> water and acetonitrile with 0.1% formic acid is used for chromatographic<br />

separation on a C18 column. Two transitions were monitored for each analyte and<br />

internal standard. In addition each approach was evaluated using serum material from<br />

CAP. Free T3 and T4 are isolated by ED, UF, or DF, and <strong>the</strong>n isotope-labeled internal<br />

standards (T3- 13 C 6<br />

and T4- 13 C 12<br />

) are added to <strong>the</strong> serum material for quantification.<br />

Internal standards are not added before FT3 and FT4 isolation to prevent <strong>the</strong> standards<br />

from equilibrating with <strong>the</strong> binding proteins in serum.<br />

Results: This method showed great stability when analytes were protected from light,<br />

with minimal conversion <strong>of</strong> T4 to T3 (100% for DF and 69% for ED.<br />

Efficiency <strong>of</strong> FT4 isolation calculated by spiking at 2.0 ng/dL was 85% for UF, 77%<br />

for DF and 61% for ED. A linear response was obtained within <strong>the</strong> clinically relevant<br />

calibration range <strong>of</strong> 0.1-1.0 ng/dL for FT3 and 0.5-3.0 ng/dL for FT4. Cap K 2011 and<br />

2012 survey samples with FT3 values <strong>of</strong> 0.56-1.60 ng/dL and FT4 values <strong>of</strong> 1.61-4.55<br />

ng/dL were measured using <strong>the</strong> 3 separation techniques.<br />

Conclusion: The accuracy and isolation efficiency <strong>of</strong> methods using ED, UF and DF<br />

to isolate FT3 and FT4 was assessed for measurement <strong>of</strong> <strong>the</strong>se analytes in serum,<br />

using a sensitive ID-LC-MS/MS method.<br />

A-280<br />

Standardization <strong>of</strong> 25-hydroxyvitamin D assays: impact <strong>of</strong><br />

vitamin-D binding protein concentrations and uremic media on <strong>the</strong><br />

restandarization <strong>of</strong> six different 25(OH) vitamin D immunoassays.<br />

E. Cavalier 1 , P. Lukas 1 , Y. Crine 1 , S. Peeters 1 , A. Carlisi 1 , C. Le G<strong>of</strong>f 1 , J.<br />

Souberbielle 2 . 1 University Hospital <strong>of</strong> Liège, University <strong>of</strong> Liège, Liège,<br />

Belgium, 2 Hôpital Necker-Enfants malades, Paris, France<br />

Introduction: Different reports have shown <strong>the</strong> lack <strong>of</strong> standardization <strong>of</strong> 25-hydroxy<br />

vitamin D assays and have warned <strong>the</strong> potential clinical consequences <strong>of</strong> such a<br />

problem. Recently, <strong>the</strong> Vitamin D Standardization Program (VDSP), led by <strong>the</strong> NIH<br />

in collaboration with <strong>the</strong> CDC and NIST have issued a series <strong>of</strong> 40 single patients<br />

whose 25D had been determined by a commonly accepted reference method. The<br />

aims <strong>of</strong> <strong>the</strong> VDSP are to study <strong>the</strong> differences and similarities in <strong>the</strong> distributions<br />

<strong>of</strong> 25-hydroxyvitamin D (25D) around <strong>the</strong> world, standardize 25D measurements in<br />

national health surveys and allow for <strong>the</strong> participations <strong>of</strong> commercial laboratories<br />

and manufacturers in <strong>the</strong> standardization effort. In this study, we assimilated <strong>the</strong><br />

standardization process in six immunoassays and assessed <strong>the</strong>ir harmonization<br />

effectiveness in a population <strong>of</strong> healthy individuals, but also in different patients<br />

presenting some differences in <strong>the</strong>ir serum matrix.<br />

Materials and Methods: The LCMS ChromSystem (Chrom) kit was calibrated<br />

against <strong>the</strong> VDSP Phase 1 samples. Sera from apparent healthy subjects (n=88,<br />

calibration) were measured with <strong>the</strong> calibrated LCMS Chrom, Architect, Centaur,<br />

Elecsys, IDS-iSYS, Liaison XL and DiaSorin RIA. The regression equations <strong>of</strong> <strong>the</strong>se<br />

results were used to adjust <strong>the</strong> immunoasssays. The samples from 1 st trimester (n =<br />

32) and 3 rd trimester (n = 36) pregnant women, and dialysis (n = 28) samples were<br />

quantified to determine <strong>the</strong> harmonization. The samples vitamin-D-binding protein<br />

(DBP) concentrations were also determined with a R&D ELISA kit.<br />

Results: Third trimester pregnant women have <strong>the</strong> highest DBP circulating levels<br />

among <strong>the</strong> investigated populations, 511±167, 410±114, 544±280 and 836±290<br />

μg/mL for <strong>the</strong> apparently healthy, haemodialysis, 1 st and 3 rd trimester, respectively.<br />

Prior to <strong>the</strong> adjustment, <strong>the</strong> PB regression slope (95%Cl.) between immunoassays<br />

and calibrated LCMS <strong>of</strong> <strong>the</strong> entire samples cohort (n = 184) varied from 0.59 (0.55<br />

to 0.63) to 0.99 (0.92 to 1.05), with RIA being <strong>the</strong> lowest and IDS-iSYS being <strong>the</strong><br />

highest. The difference [Mean±SD (ng/mL)] between LCMS and Architect, Centaur,<br />

Elecsys, IDS-iSYS, XL and RIA was: -2.6±9.3, -4.5±10.8, -1.6±8.8, 4.7±6.7, -6.1±9.6<br />

and -6.8±8.0, respectively. After adjustment, <strong>the</strong> regression slope became more<br />

consistent, ranging from 1.00 (0.94 - 1.07) to 1.05 (0.93 - 1.16). Most notable changes<br />

were <strong>the</strong> XL and RIA: 0.70 (before) vs. 1.05 (after), 0.59 (before) vs. 1.03 (after),<br />

respectively. The mean difference (ng/mL) was also improved: -0.7±10.2 (Architect);<br />

0.4±11.3 (Centaur); -0.5±9.1 (Elecsys); 0.1±6.8 (IDS-iSYS); -1.2±10.2 (XL) and<br />

0.3±6.7 (RIA). We also observed that large bias remained, especially in 3 rd trimester<br />

and haemodialysis samples. The mean concentration bias in 3 rd trimester samples was:<br />

-7.0±5.0 (Architect); -10.6±7.2 (Centaur); -6.7±5.2 (Elecsys); -3.2±4.5 (IDS-iSYS);<br />

-11.6±5.2 (XL) and -3.1±4.0 (RIA). The bias was more pronounced in haemodialysis<br />

samples: -12.5±9.5 (Architect); -4.3±13.0 (Centaur); -9.7±10.8 (Elecsys); -3.3±7.6<br />

(IDS-iSYS); -11.0±10.0 (XL) and -5.5±7.6 (RIA).<br />

Conclusions: By calibrating <strong>the</strong> immunoassays against <strong>the</strong> same patient samples,<br />

<strong>the</strong> harmonization is achieved for <strong>the</strong> samples from apparent healthy subjects. The<br />

calibration process appears not to be effective for samples from 3 rd trimester pregnant<br />

women and haemodialysis patients. The influence <strong>of</strong> vitamin-D binding protein<br />

concentrations and uremic media are more visible in some immunoassays than o<strong>the</strong>r.<br />

A-281<br />

A Highly Sensitive Analysis <strong>of</strong> Estradiol in Human Plasma by<br />

MicroLC-MS/MS, with Reduced Solvent Consumption and Increased<br />

Throughput<br />

M. Jarvis 1 , A. Wang 2 , B. Patterson 3 . 1 AB SCIEX, Concord, ON, Canada,<br />

2<br />

AB SCIEX, Foster City, CA, 3 AB SCIEX, Victoria, Australia<br />

Background: For Research Use Only. Not for Use in Diagnostic Procedures.<br />

Micro flow chromatography, with flow rates ranging from 5-60uL/min, and with<br />

column diameters less than 1mm, is an exciting approach for sensitive, highthroughput<br />

LC/MS/MS analysis. This technique represents a compelling alternative<br />

to conventional HPLC due to its solvent-reduction, cost-reduction and time-saving<br />

potential. Compared to traditional HPLC, solvent consumption savings <strong>of</strong> up to 95%<br />

are possible using micro-flow LC, which significantly reduces solvent and waste<br />

disposal costs. Fur<strong>the</strong>rmore, high on-column linear velocities and low mixing and<br />

delay volumes allow for fast chromatography and higher sample throughput. Micr<strong>of</strong>low<br />

chromatography also enables <strong>the</strong> use <strong>of</strong> significantly smaller sample injection<br />

volumes, while maintaining equivalent sensitivity compared to traditional HPLC,<br />

making micro-flow LC an excellent fit for <strong>the</strong> analysis <strong>of</strong> estradiol (E2) in clinical<br />

research samples, which may be limited in size and availability.<br />

Methods: The Eksigent ekspert microLC 200 system, a dedicated micr<strong>of</strong>low<br />

UHPLC system, has been used to develop a sensitive micro-LC/MS/MS method for<br />

<strong>the</strong> analysis <strong>of</strong> estradiol in human serum. Chromatographic separation was achieved in<br />

a run-time <strong>of</strong> 4 minutes, using a Halo C18 column (0.5x50mm) at a flow rate <strong>of</strong> 25 uL/<br />

min. This represents a significant time savings compared to <strong>the</strong> equivalent high-flow<br />

LC-MS/MS analysis, which typically requires a run-time <strong>of</strong> greater than 7 minutes to<br />

achieve adequate chromatographic separation <strong>of</strong> estradiol from potential interferences<br />

A84 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

in biological samples. The injection volume was set to 5uL, with an overfill volume <strong>of</strong><br />

2 uL. Mass spectrometric detection was accomplished using <strong>the</strong> AB SCIEX QTRAP®<br />

5500 system, operating in <strong>the</strong> Multiple Reaction Monitoring (MRM) mode.<br />

Results: Using an injection volume <strong>of</strong> only 5uL, and at a flow rate <strong>of</strong> only 25 uL/min,<br />

<strong>the</strong> micro-LC/MS/MS method described above has enabled <strong>the</strong> detection <strong>of</strong> estradiol<br />

in human serum at concentrations as low as 1 pg/mL, with a S/N <strong>of</strong> approximately<br />

10. A calibration curve was prepared in double charcoal-stripped human serum, over a<br />

concentration range from 1 to 500 pg/mL. The CV% over <strong>the</strong> calibration range ranged<br />

from 2.5% (at 500 pg/mL) to 11.70% (at 1 pg/mL), with accuracies ranging from<br />

90 - 111% for n=10 replicate injections. The response was linear over <strong>the</strong> calibration<br />

range, with R = 0.9994.<br />

Conclusion: A micro-LC/MS/MS method has been developed for <strong>the</strong> analysis <strong>of</strong><br />

estradiol in human serum, with equivalent performance to conventional HPLC-MS/<br />

MS analysis. The micro-flow method enabled solvent consumption savings <strong>of</strong> 95%<br />

compared to high-flow methods, and enabled a reduction <strong>of</strong> <strong>the</strong> sample-to-sample<br />

injection time, from approximately 7 minutes to approximately 4 minutes.<br />

A-283<br />

The polymorphism in <strong>the</strong> let-7 targeted region <strong>of</strong> <strong>the</strong> Lin28 gene is<br />

associated with increased risk <strong>of</strong> type 2 diabetes<br />

J. Zhang, L. Zhang, R. Fan, J. Lu. Wenzhou Medical College, Wenzhou,<br />

China<br />

Background: Genetic polymorphisms in <strong>the</strong> miRNAs pathway <strong>of</strong> <strong>the</strong> pathogenesis<br />

<strong>of</strong> disease might contribute to <strong>the</strong> risk <strong>of</strong> disease. Recently, a study reported <strong>the</strong> let-<br />

7/ Lin28 pathway plays important role in <strong>the</strong> pathogenesis <strong>of</strong> T2DM, and several<br />

polymorphisms have been identified in <strong>the</strong> let-7 targeted gene Lin28. However, it<br />

is unclear whe<strong>the</strong>r <strong>the</strong>se polymorphisms are associated with <strong>the</strong> risk <strong>of</strong> T2DM and<br />

whe<strong>the</strong>r <strong>the</strong> gene markers predict <strong>the</strong> risk <strong>of</strong> T2DM.<br />

Methods: We performed a case-control genetic association study based on 588 T2DM<br />

patients and 588 age and sex matched strictly healthy controls. Restriction fragment<br />

length polymorphism technique was used in distinguishing genotype.<br />

Results: For <strong>the</strong> rs3811463 polymorphism, compared with <strong>the</strong> wild TT genotype, <strong>the</strong><br />

variant genotype TC+CC could significantly increase <strong>the</strong> risk <strong>of</strong> T2DM in <strong>the</strong> total<br />

analysis (OR=1.47, 95%CI=1.13-1.93, P=0.005); after subgroup analysis by sex, <strong>the</strong><br />

variant genotypes were associated with increased risk <strong>of</strong> disease in females but not in<br />

males. As for <strong>the</strong> rs3811464 polymorphism, no significantly association was found in<br />

<strong>the</strong> total analysis (OR=1.04, 95%CI=0.79-1.36, P=0.78); after subgroup analysis by<br />

sex, <strong>the</strong> variant genotypes were not associated with increased risk <strong>of</strong> disease ei<strong>the</strong>r<br />

males or females. In addition, statistically differences were observed in <strong>the</strong> clinical<br />

features <strong>of</strong> age at diagnosis, hypertension and peripheral neuropathy for <strong>the</strong> variant<br />

genotypes and wild genotype <strong>of</strong> <strong>the</strong> rs3811463 polymorphism.<br />

Conclusion: Our study indicated that <strong>the</strong> rs3811463 polymorphism in <strong>the</strong> let-7/ Lin28<br />

pathway could significantly increase <strong>the</strong> risk <strong>of</strong> T2DM.<br />

A-284<br />

Development and Validation <strong>of</strong> an Improved Chemiluminescent Assay<br />

for Inhibin B<br />

M. Attaelmannan 1 , R. Pandian 2 , K. Thomassian 1 , S. Khachatryan 1 ,<br />

A. Kumar 3 . 1 Quest Diagnostics Nichols Institute, Valencia, CA, 2 Pan<br />

Laboratories, Irvine, CA, 3 Ansh Laboratories, Webster, TX<br />

Relevance: Inhibins are protein hormones that are secreted by <strong>the</strong> granulosa cells<br />

<strong>of</strong> <strong>the</strong> ovary and <strong>the</strong> Sertoli cells <strong>of</strong> <strong>the</strong> testes. These hormones selectively suppress<br />

<strong>the</strong> secretion <strong>of</strong> pituitary follicle-stimulating hormone (FSH); <strong>the</strong>y also exert local<br />

paracrine actions in <strong>the</strong> gonads. Elevated inhibin B levels have been associated with<br />

Sertoli cell function (potential marker for spermatogenesis and testicular function),<br />

ovarian reserve, and granulosa cell tumors. Inhibin B is a 32 kDa dimeric hormone<br />

composed <strong>of</strong> two distinct subunits, alpha (α) and beta (β), which are linked by<br />

disulfide bonds. The free α subunit is usually physiologically inactive; <strong>the</strong> α-β dimer<br />

is <strong>the</strong> biologically active form.<br />

Objective: To develop and validate a quantitative chemiluminescent assay for serum<br />

inhibin B that conforms to WHO standards.<br />

Methodology: We have developed a sandwich-type, enzymatic microplate assay. This<br />

assay uses a well-characterized monoclonal antibody pair that is specific for inhibin<br />

B (captures β subunit and detects α subunit <strong>of</strong> inhibin B). The antibody pair does not<br />

detect inhibin A, activin A, activin B, AMH, FSH, LH, and TGF-β1, even at twice<br />

<strong>the</strong>ir normal physiological concentrations. The assay calibrators range from 10 pg/<br />

mL to 1300 pg/mL. In this three-step procedure, calibrators, controls, and unknown<br />

samples are added to microplate wells coated with an anti-inhibin B antibodyand<br />

incubated. Inhibin B in <strong>the</strong> samples is detected using a biotinylated anti-inhibin B<br />

antibody, a streptavidin horseradish peroxidase conjugate (SHRP), and a luminogenic<br />

substrate. The emitted luminesence, measured in relative light output units (RLU)<br />

using a microplate luminometer, is directly proportional to <strong>the</strong> concentration <strong>of</strong><br />

inhibin B.<br />

Validation Results: This Inhibin B assay is traceable to <strong>the</strong> WHO 96/784 IRP<br />

Standard and <strong>the</strong> assay had excellent correlation with a commercially available inhibin<br />

B assay. Comparison using 71 serum patient samples showed a correlation coefficient<br />

<strong>of</strong> >0.99, a slope <strong>of</strong> 1.13, and an intercept <strong>of</strong> 4.23 pg/mL. Total imprecision was 2.68%<br />

at 340 pg/mL and 10.59% at 116 pg/mL. No significant interference was observed<br />

with hemoglobin, triglycerides, or bilirubin. The LOD was 12 ng/mL AMH were routinely diluted.<br />

Results: This new assay has a sensitivity <strong>of</strong> 0.027 ng/mL and a reportable range <strong>of</strong><br />

0.03 to 440 ng/mL. Serum samples with high AMH concentrations dilute in parallel<br />

with <strong>the</strong> standard curve. This assay is highly reproducible, with an interassay CV <strong>of</strong><br />

6.4%. The assay is highly specific for human AMH, has no cross-reactivity with o<strong>the</strong>r<br />

members <strong>of</strong> <strong>the</strong> TGF-β superfamily, and no interference with lipemic, icteric, and<br />

hemolysed samples. Correlation with <strong>the</strong> AMH Gen II immunoassay is excellent at<br />

low concentrations, ie, 10 ng/mL (y = 0.43x + 5.33;<br />

R 2 = 0.71). This poor correlation is likely due to <strong>the</strong> Gen II dilution problem and its lack<br />

<strong>of</strong> parallelism for human samples.<br />

Conclusion: We have developed a highly sensitive and reproducible immunoassay to<br />

quantify all levels <strong>of</strong> AMH, including high concentrations. The assay is very specific<br />

for human AMH since human recombinant AMH was used. Because <strong>of</strong> its wide range,<br />

this assay could be used in various pathophysiological conditions.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A85


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

A-286<br />

Role <strong>of</strong> Progranulin and Tumor Necrosis Factor-alpha in Polycystic<br />

Ovary Syndrome Pathogenesis<br />

A. Uzdogan 1 , F. Akbiyik 2 , A. P. Cil 3 , M. Kuru Pekcan 3 . 1 Hacettepe<br />

University Faculty <strong>of</strong> Medicine, Department <strong>of</strong> Medical Biochemistry,<br />

Ankara, Turkey, 2 Hacettepe University Faculty <strong>of</strong> Medicine, Department <strong>of</strong><br />

Medical Biochemistry and Clinical Pathology Laboratory, Ankara, Turkey,<br />

3<br />

Kirikkale University Faculty <strong>of</strong> Medicine, Department <strong>of</strong> Obstetrics and<br />

Gynecology, Kirikkale, Turkey<br />

Background: Polycystic ovary syndrome (PCOS) is <strong>the</strong> most prevelant<br />

endocrinological disorder (6-10%) <strong>of</strong> reproductive age women, which is characterized<br />

by menstrual irregularities, hirsutism, acne, obesity and insulin resistance. Chronic<br />

inflammation is frequently associated with central obesity, insulin resistance, type 2<br />

diabetes, dyslipidemia, PCOS and cardiovascular diseases. However <strong>the</strong> relationship<br />

between <strong>the</strong> basic pathogenesis <strong>of</strong> PCOS and adipokines is not known very well.<br />

Progranulin (PGRN) and TNF-alpha are very important adipokines which are<br />

involved in chronic inflammation. Paraoxanase 1 (PON1), an enzyme associated with<br />

high-density lipoprotein (HDL), has anti-oxidant and anti-inflammatory effects. The<br />

aim <strong>of</strong> this study is to analyze serum PGRN and TNF-alpha levels, serum total oxidant<br />

status (TOS), total anti-oxidant status (TAOS) and PON1 enzyme activities and to<br />

compare <strong>the</strong> results <strong>of</strong> PCOS patients to <strong>the</strong> healthy control group.<br />

Methods: A total <strong>of</strong> 40 patients with PCOS and 40 healthy women between 18-<br />

40 ages are involved in <strong>the</strong> study groups. Rotterdam criteria was used to evaluate<br />

patients. Body mass index (BMI) and homeostasis model <strong>of</strong> assessment-insulin<br />

resistance (HOMA-IR) are calculated for all woman in both groups. Serum PGRN<br />

and TNF-alpha levels were analyzed by enzyme immunoassay method. Serum<br />

TOS, TAOS levels and PON1 enzyme activities (phenyl acetate as substrate) were<br />

measured spectrophotometrically. Statistical evaluation was carried out by using t-test<br />

for independent samples and Pearson correlation analyses tests. The differences were<br />

considered statistically significant if p


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Interference with acetylated, carbamylated or labile hemoglobin was observed at less<br />

than or equal to 3%. The assay is also designed to have a difference in specificity <strong>of</strong><br />

samples containing abnormal hemoglobin variants C, D, E, F and S within +0.14<br />

%HbA1c for samples 7.0 %HbA1c.<br />

Conclusion: These results demonstrate that <strong>the</strong> new ARCHITECT clinical chemistry<br />

Hemoglobin A1c assay is a precise and accurate method for measuring HbA1c in<br />

human whole blood on a high throughput analyzer. The performance supports use <strong>of</strong><br />

this assay as an aid to diagnose and monitor diabetes mellitus.<br />

A-289<br />

Serum calcium (s-Ca) requesting inappropriateness to detect Primary<br />

hyperparathyroidism (pHPT): The forgotten test<br />

M. Salinas 1 , M. Lopez Garrigos 1 , F. Pomares 1 , J. Lugo 1 , A. Asencio 2 , L. López-<br />

Penabad 1 , J. R. Dominguez 1 , C. Leiva-Salinas 3 . 1 Hospital Universitario San Juan,<br />

San Juan, Spain, 2 Primary Care Center <strong>of</strong> Mutxamel, Mutxamel, Spain, 3 Hospital<br />

Universitario y Politécnico La Fe, Valencia, Spain<br />

Background: With <strong>the</strong> introduction <strong>of</strong> automated multichannel continuous-flow<br />

analyzers, pHPT, <strong>the</strong> silent disease, began to be detected through hypercalcemia<br />

results. Later, with random access analysers, tests were again requested according to<br />

patient clinical symptoms; in that scenario s-Ca could become <strong>the</strong> forgotten test. In<br />

consensus with endocrinologists and general practitioners (GP), we implemented a<br />

strategy to “catch” pHPT patients.<br />

Methods: The laboratory serves a population <strong>of</strong> 234 551 inhabitants, including 9<br />

different primary care centers (PCC). From 21/12/2011 to 3/10/2012, <strong>the</strong> Laboratory<br />

Information System automatically added s-Ca to every phlebotomized primary care<br />

patient older than 45, without s-Ca request in <strong>the</strong> previous three years. If hypercalcemia<br />

was detected (albumin-corrected s-Ca >2.6 mmol/L), phosphate, 25-hydroxy vitamin<br />

D and parathyroid hormone (PTH) were automatically processed in <strong>the</strong> same sample.<br />

Before establishment, <strong>the</strong> strategy was communicated to PCCs GPs coordinators. We<br />

reviewed <strong>the</strong> medical record for every patient with hypercalcemia.<br />

Results: Blood samples from 61674 patients were analysed. s-Ca was automatically<br />

added to 14461 samples, generating 73 hypercalcemia results. 21 corresponded to<br />

patients taking diuretics, malignancies, etc (Figure). 52 were unexpected: 34 resulted<br />

in a diagnosis <strong>of</strong> pHPT and 18 were not followed to find out <strong>the</strong> hypercalcemia root<br />

cause, being actually in study. The prevalence in this population <strong>of</strong> pHPT was 0.24%.<br />

The cost <strong>of</strong> adding s-Ca, and extra tests in <strong>the</strong> 73 patients with hypercalcemia was<br />

1987 dollars.<br />

Conclusion: Opportunistic screening to discover pHPT through adding s-Ca to every<br />

phlebotomized primary care patient above 45 years old, with no previous s-Ca requests<br />

is clearly cost-effective. s-Ca was not adequately requested to detect asymptomatic<br />

pHPT. This emphasizes <strong>the</strong> need to establish strategies to identify pHPT, to avoid<br />

complications <strong>of</strong> untreated disease. Pathologists should help physicians to detect<br />

and respond to clinically important results through strategies that aid to unmask key<br />

results.<br />

A-290<br />

Estimation <strong>of</strong> biological variation and reference change value <strong>of</strong><br />

glycated hemoglobin (HbA1c) when two analytical methods are used<br />

F. Ucar 1 , G. Erden 1 , Z. Ginis 1 , G. Ozturk 1 , S. Sezer 2 , M. Gurler 3 , A. Guneyk 1 .<br />

1<br />

Diskapi Yildirim Beyazit Training and Research Hospital,Department <strong>of</strong><br />

Clinical Biochemistry, Ankara, Turkey, 2 Numune Training and Research<br />

Hospital,Department <strong>of</strong> Clinical Biochemistry, Ankara, Turkey, 3 Ankara<br />

Branch <strong>of</strong> <strong>the</strong> Council <strong>of</strong> Forensic Medicine, Department <strong>of</strong> Chemistry,<br />

Ankara, Turkey<br />

Background: To date, several studies have dealt with biological variation <strong>of</strong> HbA 1c<br />

in<br />

diabetic or/and in healthy individuals. However, available data on biological variation<br />

<strong>of</strong> HbA 1c<br />

revealed marked heterogeneity. There is still need for robust data. We<br />

<strong>the</strong>refore investigated and estimated <strong>the</strong> components <strong>of</strong> biological variation for HbA 1c<br />

in a group <strong>of</strong> healthy individuals by applying a recommended and strictly designed<br />

study protocol using two different assay methods.<br />

Methods: Four EDTA whole blood samples were collected from each individual (20<br />

women, 9 men; 20-45 years <strong>of</strong> age) and stored at -80°C until analysis. Each month,<br />

samples were derived on <strong>the</strong> same day, for three months. HbA 1c<br />

values were measured<br />

by both high performance liquid chromatography (HPLC) (Shimadzu, Prominence,<br />

JAPAN) and boronate affinity chromatography methods (Trinity Biotech, Premier<br />

Hb9210, Ireland) on <strong>the</strong> same day. All samples were assayed in duplicate in a single<br />

batch for each assay method. Data were analyzed by SPSS 15.0 and estimations were<br />

calculated according to <strong>the</strong> formulas described by Fraser and Harris.<br />

Results: All <strong>of</strong> <strong>the</strong> estimations were performed for both assay methods. No significant<br />

differences for measured parameters were observed between <strong>the</strong> male and female<br />

participants except BMI (p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

results from 11 <strong>of</strong> <strong>the</strong>se patients are summarized in <strong>the</strong> accompanying table. Specific<br />

antibodies failing to detect TSH in <strong>the</strong>se cases were identified in <strong>the</strong> four affected<br />

assays.<br />

Conclusion: To date, 17 cases have been identified out <strong>of</strong> approximately two million<br />

Nor<strong>the</strong>rn California Kaiser Permanente members. We suspect <strong>the</strong>se individuals<br />

have a previously unrecognized, functionally normal, TSH variant to which some<br />

monoclonal antibodies fail to bind. More than half <strong>of</strong> <strong>the</strong>se individuals were initially<br />

treated based on repeated falsely undetectable TSH values. Health care providers<br />

should be aware <strong>of</strong> <strong>the</strong> limitations <strong>of</strong> hyper-selective TSH immunoassays.<br />

respectively). No significant differences in F, E and FER were observed among men<br />

18-30, 31-40, and 41-50 yo; significantly lower concentrations <strong>of</strong> F were observed in<br />

51-60 yo men, as compared to 41-50 yo men (p=0.045).<br />

Conclusion: We observed a decline in concentrations <strong>of</strong> F, E, and FER in men and<br />

women with advancing age. Higher concentrations <strong>of</strong> F and E were observed in 18-<br />

30 yo women than in all o<strong>the</strong>r age groups in both genders. Concentrations <strong>of</strong> F and<br />

FER declined during <strong>the</strong> menstrual cycle, with <strong>the</strong> lowest concentrations observed at<br />

<strong>the</strong> end <strong>of</strong> <strong>the</strong> luteal phase. These observations suggest that typically used reference<br />

intervals for F, E and FER associated only with <strong>the</strong> time <strong>of</strong> <strong>the</strong> blood draw, may<br />

inaccurately describe <strong>the</strong> physiological variation <strong>of</strong> F, E and FER. Based on our data,<br />

age-, gender- and stage <strong>of</strong> menstrual cycle-associated reference intervals <strong>of</strong> F, E, FER<br />

are warranted.<br />

A-293<br />

Non-oxidized, biological active parathyroid hormone determines<br />

mortality in hemodialysis patients<br />

B. Hocher 1 , F. Armbruster 2 , M. Tepel 3 . 1 Inst. <strong>of</strong> Nurtitional Science, Potsdan Nu<strong>the</strong>tal,<br />

Germany, 2 Immundiagnostik AG, Bensheim, Germany, 3 Inst. <strong>of</strong> Nurtitional Science,<br />

Odense University Hospital, Denmark<br />

A-292<br />

Age and gender-related variation in concentrations <strong>of</strong> cortisol,<br />

cortisone and cortisol/cortisone ratio<br />

M. M. Kushnir, S. L. La’ulu, R. Greer, J. A. Ray, A. L. Rockwood, M.<br />

L. Rawlins, A. W. Meikle, J. A. Straseski. ARUP Laboratories, Salt Lake<br />

City, UT<br />

Background: Cortisol is commonly measured for diagnosis <strong>of</strong> neuroendocrine<br />

disorders associated with function <strong>of</strong> hypothalamus pituitary adrenal axis. Because <strong>of</strong><br />

strong diurnal variation, reference intervals for cortisol are typically established for <strong>the</strong><br />

morning and afternoon blood draw. Data describing <strong>the</strong> association <strong>of</strong> age and gender<br />

with concentrations <strong>of</strong> cortisol (F), cortisone (E), and <strong>the</strong> cortisol/cortisone ratio<br />

(FER) are limited. We determined concentrations <strong>of</strong> F, E and FER in serum samples<br />

from healthy adults (collected between 8 and 10am) and evaluated distributions <strong>of</strong><br />

<strong>the</strong> observed concentrations for association with age, gender, menopausal status, and<br />

stage <strong>of</strong> menstrual cycle.<br />

Methods: Concentrations <strong>of</strong> F, E and FER were determined using a liquid<br />

chromatography - tandem mass spectrometry (LC-MS/MS) method in 76 serum<br />

samples from self-reported healthy adult volunteers 18-60 years old (yo) (42 men<br />

and 35 women: 19, 23, 23 and 11 individuals <strong>of</strong> age groups <strong>of</strong> 18-30, 31-40, 41-50<br />

and 51-60, respectively). During <strong>the</strong> analysis two mass transitions were monitored<br />

for E, F and <strong>the</strong> internal standards; ratio <strong>of</strong> <strong>the</strong> mass transitions was used to confirm<br />

specificity <strong>of</strong> <strong>the</strong> measurements. Association <strong>of</strong> <strong>the</strong> observed values for <strong>the</strong> continuous<br />

variables was performed using ANOVA; estimate <strong>of</strong> <strong>the</strong> differences among <strong>the</strong> groups<br />

was performed with <strong>the</strong> Wilcoxon test.<br />

Results: Concentrations <strong>of</strong> F and E declined by an average 25 and 2.5 nmol/L<br />

per decade <strong>of</strong> life (p-values for parameters <strong>of</strong> linear regression 0.047 and 0.026),<br />

respectively. FER was lower in men than in women (p=0.017). No statistically<br />

significant difference in distribution <strong>of</strong> concentrations was observed between<br />

premenopausal (PrMW) and postmenopausal (PoMW) women. Higher concentrations<br />

<strong>of</strong> F and E were observed in 18-30 yo women, as compared to 41-50 yo women (p=<br />

0.06 and 0.005). FER was higher in 18-30 yo women than in 18-30 yo men (p=0.009).<br />

Concentrations <strong>of</strong> F and FER in PrMW decreased during <strong>the</strong> menstrual cycle;<br />

concentrations <strong>of</strong> F decreased on average by 30 nmol/L per week, and average FER<br />

decreased by 0.4 per week (p-values for parameters <strong>of</strong> linear regression 0.05 and 0.08,<br />

Background: Animal studies showed that non-oxidized PTH (n-oxPTH) is bioactive,<br />

whereas oxidation <strong>of</strong> PTH at methionine residues results in loss <strong>of</strong> biological activity.<br />

Now, we analyzed <strong>the</strong> effect <strong>of</strong> n-oxPTH on mortality in hemodialysis patients.<br />

Methods: We performed a prospective cohort study in 340 hemodialysis patients. PTH<br />

was measured by means <strong>of</strong> a third generation intact-PTH immunoassay system, ei<strong>the</strong>r<br />

directly (total intact parathyroid hormone, iPTH) and after prior removal <strong>of</strong> oxidized<br />

PTH molecules from <strong>the</strong> samples using specific monoclonal antibodies raised against<br />

oxidized human PTH. The association between n-oxPTH concentrations and survival<br />

was assessed by Kaplan-Meier analysis.<br />

Results: Hemodialysis patients (224 men/116 women) had a median age <strong>of</strong> 66 years.<br />

170 patients (50%) died during <strong>the</strong> follow up time <strong>of</strong> 5 years. Median n-ox-PTH levels<br />

were higher in survivors (7.2 ng/L) compared<br />

to deceased patients (5.0 ng/L; p=0.002). Survival analysis showed an increased<br />

survival in <strong>the</strong> highest n-ox-PTH tertile compared to <strong>the</strong> lowest n-oxPTH tertile (Chi<br />

square 14.3; p=0.0008). Median survival was 1702 days in <strong>the</strong> highest n-ox-PTH<br />

tertile, whereas it was only 453 days in <strong>the</strong> lowest n-oxPTH tertile. Multivariableadjusted<br />

Cox regression showed that higher age increased odds for death, whereas<br />

higher n-oxPTH reduced <strong>the</strong> odds for death. Ano<strong>the</strong>r model analyzing a subgroup <strong>of</strong><br />

patients with iPTH concentrations at baseline above <strong>the</strong> upper normal limut <strong>of</strong> <strong>the</strong><br />

iPTH assay (70 ng/L) revealed that mortality in this subgroup was associated with<br />

PTH oxidation but not with n-oxPTH levels.<br />

Conclusion: In conclusion, <strong>the</strong> predictive power <strong>of</strong> n-oxPTH and iPTH on mortality<br />

<strong>of</strong> patients on dialysis differs substantially indicating that <strong>the</strong> underlying biological<br />

processes might be different. The iPTH associated mortality especially when iPHH<br />

levels are high reflects mainly protein oxidation/oxidative stress.<br />

A-294<br />

Comparison <strong>of</strong> three commercially available immunoassays for<br />

measurement <strong>of</strong> 25-hydroxyvitamin D with an LC-MS/MS method<br />

capable <strong>of</strong> resolving 3-epi-25-hydroxyvitamin D3<br />

B. Niravel, G. Maine, E. Sykes, K. Leonard, S. Barden, B. Bailey, M. P.<br />

Smith. Beaumont Health System, Royal Oak, MI<br />

Background: Two commonly used methods for 25-hydroxyvitamin D (25-<br />

OHD) measurement are automated immunoassays for total 25-OHD, and liquid<br />

chromatography-tandem mass spectrometry (LC-MS/MS) capable <strong>of</strong> separating and<br />

measuring 25-hydroxyvitamin D 3<br />

(25-OHD 3<br />

) and 25-hydroxyvitamin D 2<br />

(25-OHD 2<br />

).<br />

The presence <strong>of</strong> 3-epi-25-OHD 3<br />

is not <strong>of</strong>ten differentiated on LC-MS/MS due to<br />

co-elution and a shared mass-transition with 25-OHD 3<br />

. However, by manipulating<br />

elution time and employing a fluoro-phenyl column, we were able to efficiently elute<br />

and measure 3-epi-25-OHD 3<br />

as a distinct peak (LOQ = 4.0 ng/mL). Compared to<br />

25-OHD 3,<br />

<strong>the</strong> active metabolite <strong>of</strong> 3-epi-25-OHD 3<br />

may have a reduced effect on<br />

calcium regulation while still suppressing PTH secretion. The purpose <strong>of</strong> this study<br />

was to compare our laboratory-developed LC-MS/MS method to three commercially<br />

available immunoassays measuring total 25-OHD (Abbott ARCHITECT, Diasorin<br />

Liaison, Siemens Centaur), and to determine <strong>the</strong> prevalence <strong>of</strong> 3-epi-25-OHD 3<br />

in this<br />

study cohort.<br />

A88 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Methods: Serum aliquots (n = 169) were frozen and tested in batches <strong>of</strong> 30 on each<br />

instrument. Each batch was assigned to an eight hour window for testing on 6 separate<br />

days. EP evaluator s<strong>of</strong>tware was used for analysis.<br />

Results: See table<br />

Conclusions:<br />

1. Results from <strong>the</strong> Abbott ARCHITECT were not statistically different from LC-MS/<br />

MS. However comparison <strong>of</strong> results from <strong>the</strong> Diasorin Liaison and Siemens Centaur<br />

with LC-MS/MS were statistically different.<br />

2. The Diasorin Liaison demonstrated <strong>the</strong> best correlation with LC-MS/MS in 25-<br />

OHD deficient samples (80 ng/mL).<br />

Table: Immunoassay Comparison to LC-MS/MS<br />

Instrument Sample Cohort n* Slope Intercept SEM r p-value<br />

Abbott ARCHITECT All 144 0.962 1.74 7.26 0.947 0.388<br />

Diasorin Liaison All 166 0.731 2.56 6.31 0.970


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

The most performing model, based on ethnicity, body-mass index, familial history<br />

<strong>of</strong> diabetes and past history <strong>of</strong> GDM, resulted in sensitivity, specificity, positive and<br />

negative likelihood ratio and AUROC <strong>of</strong> 73%, 81%, 3.8, 0.3 and 0.82 respectively for<br />

<strong>the</strong> identification <strong>of</strong> women with GDM requiring insulin <strong>the</strong>rapy.<br />

Conclusion: External validation in a large cohort <strong>of</strong> Caucasian women <strong>of</strong> four riskprediction<br />

models based on clinical characteristics yielded a moderate performance,<br />

but <strong>the</strong> strategy seems particularly promising for <strong>the</strong> early prediction <strong>of</strong> GDM<br />

requiring insulin <strong>the</strong>rapy. Addition <strong>of</strong> selected biochemical markers to such model has<br />

<strong>the</strong> potential to reach a performance justifying clinical implementation.<br />

$$MISSING OR BAD TABLE SPECIFICATION {9B5AF915-94D4-445F-8E12-<br />

EECAC406DAF6}$$<br />

Table 1: Performance <strong>of</strong> <strong>the</strong> clinical risk-prediction models to identify women who developed<br />

GDM<br />

n n<br />

AUROC<br />

Model Risk Factors<br />

Se Sp LR+ LR-<br />

Naylor et al.<br />

(1997)<br />

Caliskan et al.<br />

(2004)<br />

Van Leeuwen<br />

et al. (2010)<br />

Teede et al.<br />

(2011)<br />

GDM Total<br />

Maternal age, BMI, Ethnicity 324 6,160 72.2 55.1 1.6 0.5<br />

Maternal age, BMI, Fam.<br />

History <strong>of</strong> diabetes, Prev.<br />

macrosomic infant, Prev. adv.<br />

obst. outcome<br />

BMI, Ethnicity, Fam. history<br />

<strong>of</strong> diabetes, Prev. GDM<br />

Maternal age, BMI, Ethnicity,<br />

Fam. history <strong>of</strong> diabetes,<br />

Prev. GDM<br />

311 5,639 71.1 59.3 1.7 0.5<br />

280 5,302 60.4 80.7 3.1 0.5<br />

247 4,408 65.6 75.0 2.6 0.5<br />

(95% CI)<br />

0.67<br />

(0.64-<br />

0.70)<br />

0.68<br />

(0.65-<br />

0.71)<br />

0.76<br />

(0.73-<br />

0.79)<br />

0.74<br />

(0.70-<br />

0.78)<br />

BMI: body-mass index; GDM: Gestational diabetes; Se: sensitivity; Sp: specificity; LR+: positive<br />

likelihood ratio; LR-: negative likelihood ratio; CI:confidence interval; Performance at <strong>the</strong><br />

threshold optimizing Youden index<br />

A-298<br />

Establishment <strong>of</strong> Reference Intervals for Prolactin after Precipitation<br />

with Polyethyleneglycol and Detection <strong>of</strong> Macroprolactin<br />

D. T. Meier, M. A. V. Willrich, D. R. Block, N. A. Baumann. Mayo Clinic,<br />

Rochester, MN<br />

Background: Approximately 15% <strong>of</strong> hyperprolactinemic patients have 30-60%<br />

macroprolactin, a complex <strong>of</strong> prolactin and immunoglobulin. Macroprolactinemia<br />

is a benign condition and should be suspected when hyperprolactinemia is<br />

asymptomatic or pituitary imaging studies are not informative. Polyethyleneglycol<br />

(PEG) precipitation is a widely used method to detect macroprolactinemia. However,<br />

controversy exists about how to report and interpret PEG-precipitation results. The<br />

objectives <strong>of</strong> this study were to: i) compare PEG-precipitation to gold standard gel<br />

filtration chromatography (GFC) for detecting macroprolactin in serum; ii) establish<br />

reference interval (RI) for post-PEG-precipitation prolactin (post-PEG PRL) and<br />

%PEG-precipitated prolactin (%PEG-ppt PRL) in normoprolactinemic subjects;<br />

iii) validate <strong>the</strong> established RIs using samples from patients with clinically-defined<br />

hyperprolactinemia; and iv) compare <strong>the</strong> use <strong>of</strong> post-PEG PRL RIs with a % PEG-ppt<br />

PRL cut-<strong>of</strong>f for detecting macroprolactinemia.<br />

Methods: Prolactin was measured using <strong>the</strong> Roche Prolactin II assay on a Cobas<br />

8000e immunoassay analyzer (Roche Diagnostics). Precision (intra-assay, n=10;<br />

inter-assay, n=13days), measurable range and analyte stability were determined<br />

for <strong>the</strong> PEG-precipitation method. Method comparison between GFC and PEGprecipitation<br />

was performed (n=15). Residual serum samples from female (F,<br />

n=217) and male (M, n=138) patients having prolactin concentrations within<br />

gender-stratified reference intervals (M, 2.0-15.3ng/mL, F, 3.0-23.3ng/mL) were<br />

PEG-precipitated and prolactin (post-PEG PRL) in <strong>the</strong> supernatant was measured.<br />

Reference intervals and 90% confidence intervals (CI) were established using EP<br />

Evaluator (nonparametric analysis). A hyperprolactinemia (prolactin greater than<br />

reference interval) cohort included patients with physician-ordered prolactin (F n=26,<br />

M n=97) or macroprolactin (F n=191, M n=41). Residual serum samples were PEGprecipitated<br />

and post-PEG PRL was measured. Medical records were reviewed for<br />

49 hyperprolactinemic patients and divided into symptomatic with known etiology<br />

(n=34) or asymptomatic with unknown etiology (n=15).<br />

Results: Intra- and inter-assay imprecision were 3% and 7%, respectively. The<br />

measurable range was 1-400ng/mL (slope=1.00, y-intercept =1.78, r2=1.00) and<br />

prolactin recovery for x400 dilutions was 91-96%. Samples were stable (


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Africa, including <strong>the</strong> metabolic and cardiovascular complications. Leptin has been<br />

inadequately explored as a risk factor for cardiovascular events here. Therefore, <strong>the</strong><br />

aim <strong>of</strong> this study is to determine <strong>the</strong> association between leptin and insulin resistance,<br />

an established CVD risk factor, in obese adult Nigerian females.<br />

Method: This was a cross-sectional study <strong>of</strong> obese, adult Nigerian female outpatients<br />

at <strong>the</strong> Lagos University Teaching Hospital, Nigeria. Participants were examined for<br />

body mass index (BMI) at <strong>the</strong>ir clinic visit. Those with BMI >30kg/m2, not diabetic,<br />

pregnant nor lactating, were voluntarily recruited as subjects and instructed to return<br />

in a fasting state on an agreed date when serum leptin, fasting plasma glucose, and<br />

insulin were determined. Insulin resistance (IR) was calculated with HOMA method<br />

using <strong>the</strong> formula: HOMA-IR = (glucose x insulin)/22.5 for glucose in mmol/l.<br />

Pearson correlation coefficient was used to determine <strong>the</strong> association between leptin<br />

and HOMA-IR. A p 0.99). Using this model, eAG vs. %A 1c<br />

was calculated for<br />

RCLs <strong>of</strong> 90 days and 75 days, by proportionally changing only <strong>the</strong> time scale <strong>of</strong> <strong>the</strong><br />

red cell age distribution.<br />

Results: In comparison to eAG vs. %A 1c<br />

for RCL = 120 days, eAG predicted for a<br />

given %A 1c<br />

was significantly increased when RCL was reduced to 90 or 75 days (open<br />

points, Figure).<br />

Conclusions: Results <strong>of</strong> model calculations may help inform clinicians about <strong>the</strong><br />

scale on which substantial deviations from <strong>the</strong> established relationship between eAG<br />

and %A 1c<br />

may be operative for patients suspected <strong>of</strong> having reduced RCL.<br />

A-301<br />

Fasting Serum Soluble CD 163 Predicts Risk for Type 2 Diabetes in<br />

Individuals with <strong>the</strong> Metabolic Syndrome in Rivers State<br />

C. G. Orluwene 1 , I. N. Nnatuanya 2 . 1 University <strong>of</strong> Port Harcourt Teaching<br />

Hospital, Port Harcourt, Nigeria, 2 Madonna University Teaching Hospital,<br />

Elele Campus, Elele Town, Rivers State, Nigeria<br />

Background: Activation <strong>of</strong> adipose tissue macrophages with concomitant low-grade<br />

inflammation is believed to play a central role in <strong>the</strong> evolution <strong>of</strong> type 2 diabetes.<br />

Aim: To assess whe<strong>the</strong>r a new macrophage-derived biomarker, soluble CD163,<br />

identifies at-risk individuals with metabolic syndrome before overt disease develops.<br />

Methods: A prospective study <strong>of</strong> 72 subjects with metabolic syndrome and without<br />

overt type 2 diabetes was done from 2006-2011 for incidence <strong>of</strong> type 2 diabetes. Risk<br />

<strong>of</strong> diabetes was categorized according to age, gender and level <strong>of</strong> soluble CD163.<br />

Statistical analysis system (SAS) 9.2 for windows was used to analyze data.<br />

Results: A total <strong>of</strong> 9 (30%) <strong>of</strong> <strong>the</strong> subjects in <strong>the</strong> age bracket <strong>of</strong> 20-40 years and 16<br />

(38.1%) <strong>of</strong> <strong>the</strong> subjects in <strong>the</strong> age bracket <strong>of</strong> 41-60 years and who had high fasting<br />

serum soluble CD163 levels (> 1.5mg/L) developed diabetes in 5 years <strong>of</strong> follow-up.<br />

More females [7 (23.3%)] as against 2 (6.7%) male in <strong>the</strong> 20-40 year age bracket<br />

and 11 (26.2%) female as against 5 (11.9%) males in <strong>the</strong> 41-60 years age bracket<br />

progressed to overt type 2 diabetes within <strong>the</strong> 5 years period.<br />

Conclusion: Increased concentrations <strong>of</strong> soluble CD163 in individuals with metabolic<br />

syndrome predict increased risk <strong>of</strong> type 2 diabetes and may be a useful marker for<br />

identification <strong>of</strong> high risk metabolic syndrome individuals.<br />

Keywords: Soluble CD 163, Type 2 diabetes mellitus, Metabolic syndrome<br />

A-302<br />

Ma<strong>the</strong>matical model for hemoglobin A1c formation predicts estimated<br />

average glucose for reduced red cell lifetimes<br />

R. J. Molinaro 1 , L. J. McCloskey 2 , J. D. Landmark 3 , J. H. Herman 2 , D. F.<br />

Stickle 2 . 1 Emory University School <strong>of</strong> Medicine, Atlanta, GA, 2 Jefferson<br />

University Hospitals, Philadelphia, PA, 3 University <strong>of</strong> Nebraska Medical<br />

Center, Omaha, NE,<br />

Background: The established relationship <strong>of</strong> estimated average glucose (eAG) to<br />

hemoglobin A 1c<br />

(Hb A 1c<br />

) may not be applicable to patients with reduced red cell<br />

lifetimes (RCL) attributed to certain hemoglobin variants. We used a ma<strong>the</strong>matical<br />

A-303<br />

Average glucose operative during short intervals between hemoglobin<br />

A1c measurements: predicted relationship to estimated average<br />

glucose<br />

R. J. Molinaro 1 , L. J. McCloskey 2 , D. F. Stickle 2 . 1 Emory University School<br />

<strong>of</strong> Medicine, Atlanta, GA, 2 Jefferson University Hospitals, Philadelphia, PA<br />

Background: Estimated average glucose (eAG) is a linear function <strong>of</strong> %A1c.<br />

The inverse slope, Smax = Δ(%A1c)/Δ(eAG), is a constant that corresponds to <strong>the</strong><br />

maximum Δ(%A1c) that can occur for a change in glucose (ΔG) (Smax = 0.035<br />

(%A1c)/(mg/dL)). When <strong>the</strong> interval between sequential %A1c measurements is not<br />

long enough to span <strong>the</strong> entire red cell lifetime (120 days), <strong>the</strong> apparent Δ(eAG) as<br />

calculated from Δ(%A1c)/ Smax must underestimate that true ΔG operative during <strong>the</strong><br />

interval, because <strong>the</strong> entire circulating red cell population has not yet been uniformly<br />

exposed to this change. Our objective was to predict <strong>the</strong> relationship between Δ(eAG)<br />

and ΔG for short measurement intervals (


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

Results: For each interval Δt, <strong>the</strong> calculated slope S = Δ(%A 1c<br />

)/ΔG was found to be<br />

a constant value, S(Δt). Across intervals, S(Δt) approached S max<br />

as Δt approached 120<br />

days. The predicted relationship between Δ(eAG) and ΔG as a function <strong>of</strong> Δt was<br />

given by <strong>the</strong> ratio R = S(Δt)/S max<br />

= Δ(eAG)/ΔG (see Figure).<br />

Conclusions: For %A 1c<br />

measurement intervals Δt


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

FT3) than current immunoassays. Here we present a patient with confounding thyroid<br />

hormone immunoassay findings where LC-MS/MS thyroid hormone measurement<br />

permitted elucidation <strong>of</strong> <strong>the</strong> patient’s condition.<br />

Case report: A seventy-year-old Caucasian female presented with a history <strong>of</strong><br />

receiving thyroid hormone replacement <strong>the</strong>rapy for several decades. Her current<br />

complaints were increased lethargy and weight gain <strong>of</strong> ±10 pounds over <strong>the</strong> past<br />

year despite increase in levothyroxine(LT4) replacement dosage to 150 μg daily. On<br />

physical examination no thyromegaly or thyroid nodules were palpable.<br />

Laboratory testing: Immunoassay results for thyroid functions tests analyzed on <strong>the</strong><br />

Dimension Vista (Siemens Diagnostics, Tarrytown, US) were as follows: TSH 0.6<br />

mIU/L (0.4-4.0), FT4 1.2 ng/dL (0.8-1.5), FT3 247pg/mL (180-420) and TT4 10.3<br />

μg/dL(4.5-12.5). Total T3 analyzed on <strong>the</strong> Immulite XPi (Siemens Diagnostics,<br />

Tarrytown, US) was 107 ng/dL (90-215). Testing for thyroid peroxidase antibodies<br />

and thyroglobulin antibodies were negative. Blood samples were later analyzed by<br />

LC-MS/MS as per methods previously published (Clin Chim Acta. 2004;343(1-<br />

2):185-90,Clin Chem. 2011 ;57(1):122-7 and Clin Chem 2011;57:A82 Abstract<br />

B-99.) MS/MS Results were as follows: TT3 64 ng/dL (74-168), FT3 1.9 pg/mL (1.5-<br />

6.3), TT4 7.2 μg/dL(4.2-10.9), FT4 1.8 ng/dL (1.3-2.4). In view <strong>of</strong> <strong>the</strong> low total T3<br />

and low normal FT3 on mass spectrometry analysis, <strong>the</strong> patient was initiated on a<br />

trial <strong>of</strong> combination <strong>of</strong> LT4 75μg daily and levotriiodothyronine18.75 μg (three times<br />

daily). On follow-up: TSH level was 0.01 mIU/mL (0.4- 4.0) and a decrease in total<br />

cholesterol (from 202 mg/dL to 160 mg/dL) and LDL cholesterol (from 133 mg/dL<br />

to 89 mg/dL) were also noted due to thyroid hormone replacement. With cessation <strong>of</strong><br />

replacement <strong>the</strong>rapy TSH levels increased to 0.03 mIU/L and MS/MS TT3 and TT4<br />

remained low at 34 ng/dL ng/dL (74-168), and 1.1 μg/dL(4.2-10.9 respectively, with<br />

<strong>the</strong> patient’s complaints <strong>of</strong> fatigue persisting. To exclude possible secondary/tertiary<br />

hypothyroidism an MRI Brain was performed. Findings showed no intracranial<br />

mass or pituitary lesion. Genetic studies for type 2 deiodinase (D2) polymorphisms<br />

revealed that <strong>the</strong> patient was heterozygous for <strong>the</strong> Thr92Ala polymorphism.<br />

Discussion: D2 catalyses <strong>the</strong> intracellular conversion <strong>of</strong> T4 to T3, and thus plays<br />

a major role in thyroid hormone metabolism. The presence <strong>of</strong> <strong>the</strong> D2 Thr92Ala<br />

polymorphism has been shown to predict <strong>the</strong> need for higher T4 intake or addition <strong>of</strong><br />

T3 in those requiring replacement <strong>the</strong>rapy. The finding <strong>of</strong> <strong>the</strong> low mass spectrometry<br />

TT3 and low normal FT3 levels toge<strong>the</strong>r with <strong>the</strong> persistent hypothyroid symptoms<br />

despite seemingly adequate (as reflected by immunoassay results) thyroid hormone<br />

replacement alerted to <strong>the</strong> possibility <strong>of</strong> a deiodinase disorder.<br />

A-308<br />

Prevalence <strong>of</strong> subclassifications <strong>of</strong> subclinical hypothyroidism:<br />

comparison to reclassifications when using FT4-dependent reference<br />

ranges for TSH<br />

H. L. Matlin, L. J. McCloskey, D. F. Stickle. Jefferson University Hospitals,<br />

Philadelphia, PA<br />

Background: Subclinical hypothyroidism (SH: normal free T4 (FT4), elevated<br />

TSH) is <strong>the</strong> subject <strong>of</strong> frequent inquiries to <strong>the</strong> laboratory. New practice guidelines<br />

for hypothyroidism from <strong>the</strong> American Association <strong>of</strong> Clinical Endocrinologists<br />

and <strong>the</strong> American Thyroid Association (Endocr Pract 2012;18:988-1028) define<br />

subclassifications <strong>of</strong> SH with respect to whe<strong>the</strong>r TSH is less than or greater than 10<br />

mIU/L (here defined as subclassifications A and B, respectively), delineating whe<strong>the</strong>r<br />

recommendation for T4 replacement <strong>the</strong>rapy is automatic (for subclass B). Our<br />

objectives were to determine %A and %B in our patient population, and, because<br />

<strong>of</strong> <strong>the</strong> log-linear relationship between TSH and FT4, to examine how prevalence <strong>of</strong><br />

subclasses might change if FT4-dependent TSH reference ranges were used.<br />

Methods: Paired TSH and FT4 results from our institution over a period <strong>of</strong> 1 year<br />

(2012) were obtained from electronic records. A subset database was formed from<br />

first-or-only results from individual patients having normal FT4 (0.7-1.7 ng/dL) (n =<br />

4781). Spreadsheet analyses determined classification as subclinical hypothyroidism<br />

(SH), from which %A (TSH 10 mIU/L) were<br />

determined. TSH distributions were analyzed as a function <strong>of</strong> FT4 as a preliminary<br />

step in specifying FT4-dependent TSH reference ranges.<br />

Results: Among paired TSH and FT4 results, 616 patients (12.9% <strong>of</strong> total) were<br />

classified as SH, using TSH reference range = 0.3-5.0 mIU/L. Subclassifications <strong>of</strong> SH<br />

patients were 75.6% A and 24.4% B. TSH distributions were analyzed as a function<br />

<strong>of</strong> FT4. Each distribution was well-characterized as a log-normal distribution (that is,<br />

on a log scale, <strong>the</strong> distributions were individually well characterized by parameters<br />

<strong>of</strong> a median (xm) and a standard deviation (s) such that probabilities <strong>of</strong> results were<br />

a normal distribution according to xm ± s). xm was a linear function <strong>of</strong> FT4: for FT4<br />

= 0.6-1.6 ng/dL, xm = -0.478 FT4+ 0.850 (r 2 = 0.929) (Eqn.1). Standard deviations s<br />

for TSH were a parabolic function <strong>of</strong> FT4 (range: s = 0.35-0.9), with a minimum s =<br />

0.35 centered at FT4 = 1.1 ng/dL. This minimum s was only marginally greater than s<br />

associated with <strong>the</strong> TSH reference range (s = 0.31). The fact that all-patient-inclusive<br />

TSH data showed log-normal distributions indicated that any assumed FT4-dependent<br />

TSH reference ranges should likewise possess <strong>the</strong>se same FT4-dependent medians.<br />

We <strong>the</strong>refore assumed, very conservatively, FT4-dependent reference ranges having<br />

medians according to Eqn.1, and having fixed widths equal to that <strong>of</strong> <strong>the</strong> standard TSH<br />

reference range (±2s = ±0.62). Applying <strong>the</strong>se FT4-dependent TSH reference ranges<br />

to <strong>the</strong> paired TSH-FT4 patient data, 245 patients (5.1% <strong>of</strong> total) were classified as SH,<br />

with subclassifications <strong>of</strong> 43.3% A, 56.7%B.<br />

Conclusions: Comparing to use <strong>of</strong> a standard, FT4-independent TSH reference<br />

range, paired TSH-FT4 measurements classified as SH were reduced by 60% when<br />

conservative FT4-dependent TSH reference ranges were applied. Additionally,<br />

FT4-dependent TSH reference ranges were also more highly selective for SH<br />

subclassification B patients, for whom T4 replacement <strong>the</strong>rapy would be automatically<br />

recommended.<br />

A-309<br />

Sex Hormone Binding Globulin As A Marker Of Categories Of Glucose<br />

Intolerance And Undiagnosed Diabetes In First Degree Relatives<br />

(FDR) Of Type 2 Diabetic Patients.<br />

O. A. Mojiminiyi, N. A. Abdella. Faculty <strong>of</strong> Medicine, Kuwait University,<br />

Kuwait, Kuwait<br />

Background: Recent evidence showed that raised sex hormone binding globulin<br />

(SHBG) levels could reduce <strong>the</strong> risk <strong>of</strong> Type 2 diabetes but <strong>the</strong> exact mechanisms<br />

remain unknown. This study explores <strong>the</strong> associations <strong>of</strong> SHBG with categories <strong>of</strong><br />

glucose intolerance and undiagnosed diabetes in first degree relatives (FDR) <strong>of</strong> T2DM<br />

patients and explores <strong>the</strong> associations with potential risk factors.<br />

Methods: Anthropometric indices (BMI, waist (WC), Hip circumference and waist:hip<br />

ratio (WHR)), fasting lipids, glucose, C-peptide, insulin, adiponectin, SHBG, oestradiol<br />

(E2), testosterone (T), androstenedione (AND), dehydroepiandrosterone sulphate<br />

(DHEA-S), high-sensitivity C-reactive protein (hsCRP) and alanine aminotransferase<br />

(ALT - marker <strong>of</strong> hepatic steatosis) were measured in 141 (61M, 80F) FDR aged 20-<br />

48 years. Homeostasis model assessment-estimated insulin resistance (HOMA-IR),<br />

beta cell function (%B), insulin sensitivity (%S) and Free androgen index (FAI) were<br />

calculated. Categories <strong>of</strong> glucose intolerance and diagnosis <strong>of</strong> diabetes were defined<br />

based on fasting glucose and/or HbA1c (ADA criteria).<br />

Results: 82 subjects were normoglycemic; 40 had impaired fasting glucose and<br />

19 had undiagnosed diabetes. SHBG showed significant positive correlations with<br />

adiponectin (r=0.35), %S (0.33) and HDL-C (r = 0.45) and significant negative<br />

correlations with BMI (r=-0.39), WC (r = -0.35), WHR (r = -0.62), T (r = - 0.35),<br />

FAI (r = -0.72), DHEAS (r= -0.26), C-Peptide (r = -0.30), insulin (r = -0.37), %B<br />

(r=-0.38), HOMA-IR (-0.39), ALT (r=-0.39), Triglycerides (r = - 0.32) and HbA1c<br />

(r=-0.22). After partial correlation analysis correcting for BMI, only correlations with<br />

WHR (r= -0.53), FAI (r= - 0.41) and HDL-C (r = 0.37) remained significant. SHBG<br />

decreased stepwise with worsening categories <strong>of</strong> glucose intolerance in females but<br />

not in males whereas FAI decreased stepwise with worsening categories in males only.<br />

The area under <strong>the</strong> Receiver Operating Characteristic Curve for detection <strong>of</strong> diabetes<br />

for FAI and SHBG were 0.711 and 0.386 respectively for males and 0.430 and 0.660<br />

respectively for females<br />

Conclusion: Associations <strong>of</strong> SHBG with some anthropometric and metabolic<br />

variables in FDR suggests that lower levels may contribute to <strong>the</strong> risk <strong>of</strong> T2DM<br />

through obesity dependent metabolic pathways but low FAI is a better marker <strong>of</strong><br />

diabetic state in males. The obesity independent associations <strong>of</strong> SHBG with HDL-C<br />

and WHR deserve fur<strong>the</strong>r studies.<br />

A-310<br />

Magnesium Regulates Reticular NADPH production in <strong>the</strong><br />

Hepatocytes; Possible implications <strong>of</strong> Magnesium in Diabetes and<br />

Obesity onset<br />

c. B. voma 1 , A. P. Romani 2 . 1 Cleveland State University, Brooklyn, OH,<br />

2<br />

Case Western Reserve University, Cleveland, OH<br />

Background: The current western diet is approximately 35% deficient in magnesium<br />

(Mg 2+ ). Magnesium deficiency has been correlated with <strong>the</strong> onset and progression <strong>of</strong><br />

several pathologic conditions that include diabetes and obesity. As opposed to o<strong>the</strong>r<br />

electrolytes, Mg 2+ is not given <strong>the</strong> same clinical attention due to <strong>the</strong> poor understanding<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A93


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

<strong>of</strong> its homeostasis. The hormonal regulation <strong>of</strong> magnesium has not been fully<br />

elucidated, and we continue to interpret <strong>the</strong> serum concentrations relative to urinary<br />

Mg 2+ excretion. Also, our understanding <strong>of</strong> <strong>the</strong> extra- and intra-cellular role <strong>of</strong> Mg 2+<br />

is fur<strong>the</strong>r complicated by <strong>the</strong> fact that <strong>the</strong> principal reservoir <strong>of</strong> Mg 2+ (i.e., <strong>the</strong> bones)<br />

are not readily exchangeable with circulating Mg 2+ in <strong>the</strong> extracellular fluid space.<br />

Thus, in states <strong>of</strong> a negative Mg 2+ balance, initial losses come from <strong>the</strong> extracellular<br />

space since equilibrium with bone stores does not begin for several weeks. The long<br />

term goal <strong>of</strong> this research is to elucidate <strong>the</strong> implications <strong>of</strong> magnesium deficiency for<br />

liver and whole body metabolism. Our laboratory has previously reported that Mg 2+<br />

deficiency increases G6P transport into <strong>the</strong> liver ER, and its hydrolysis by G6Pase.<br />

The study reported here evaluates <strong>the</strong> role <strong>of</strong> Mg 2+ deficiency on G6P conversion<br />

by Glucose-6-Phosphate Dehydrogenase (G6PD), <strong>the</strong> o<strong>the</strong>r intrareticular metabolic<br />

pathway for G6P, and its connection with 11Beta-Hydroxysteroid Dehydrogenase<br />

1 (11β-HSD1), <strong>the</strong> NADPH-dependent enzyme responsible for <strong>the</strong> conversion <strong>of</strong><br />

cortisone to cortisol. Both enzymes have been implicated in onset/progression <strong>of</strong><br />

diabetes and obesity. The results reported here validate our working hypo<strong>the</strong>sis that a<br />

deficiency in hepatic Mg 2+ content enhances <strong>the</strong> activities <strong>of</strong> both G6PD and 11Beta-<br />

HSD1within <strong>the</strong> lumen <strong>of</strong> <strong>the</strong> hepatic endoplasmic reticulum.<br />

Methods: Minimal deviation hepatocellular carcinoma cell line (HepG2-C34) were<br />

grown in media containing 0.2mM, 0.4mM (deficient) and 0.8mM (physiological)<br />

[Mg 2+ ]o acutely (i.e., 5 days) and analyzed for NADPH production by fluorescence<br />

detection (350 nm excitation; 460 nm emission). NADPH production was induced by<br />

addition <strong>of</strong> varying concentrations <strong>of</strong> glucose 6-phosphate to digitonin-permeabilized<br />

cells. G6PD, G6Pase, and 11Beta-HSD1 expression levels were analyzed by western<br />

blot method for up- or down-regulation following Mg 2+ deficiency onset. Production<br />

<strong>of</strong> cortisol from cortisone as a measure <strong>of</strong> <strong>the</strong> activity <strong>of</strong> 11Beta-HSD1 was analyzed<br />

by reversed phase HPLC.<br />

Results: NADPH production increased by ~60% under conditions <strong>of</strong> Mg 2+ deficiency<br />

compared to cells presenting physiological levels <strong>of</strong> Mg 2+ , and resulted in a marked<br />

increase in cortisol production through 11Beta-HSD1 activity.<br />

Conclusion: Deficiency in Mg 2+ appears to upregulate <strong>the</strong> utilization <strong>of</strong> G6P by G6PD<br />

for energetic purposes, with increased syn<strong>the</strong>sis <strong>of</strong> NADPH. In turn, <strong>the</strong> increased<br />

level <strong>of</strong> intrareticular NADPH will favor <strong>the</strong> conversion <strong>of</strong> cortisone to cortisol.<br />

Increased cortisol production can explain – at least in part- <strong>the</strong> insulin resistance<br />

observed in several diabetic and/or obese conditions. Validation <strong>of</strong> <strong>the</strong>se results in<br />

human patients represents <strong>the</strong> next step in our study.<br />

A-311<br />

Evaluation <strong>of</strong> Hemoglobin A1c Assay on Mindray’s BS-800 Clinical<br />

Chemistry System*<br />

Y. Wang, J. Cai, W. Luo. Shenzhen Mindray Bio-medical Electronics CO.,<br />

LTD., Shenzhen, China<br />

Objective: The objective <strong>of</strong> this study was to evaluate <strong>the</strong> performance <strong>of</strong> a HbA1c<br />

assay on Mindray’s BS-800 clinical chemistry system.<br />

Relevance: Hemoglobin A1c (HbA1c) is used to monitor long term glucose control<br />

in patients with diabetes mellitus.<br />

Methodology: Human whole blood samples were pre-treated <strong>of</strong>f-line with<br />

hemolyzing reagent prior to analysis. HbA1c concentration, relative to that <strong>of</strong><br />

total hemoglobin, was determined by enzymatic assay <strong>of</strong> HbA1c and colorimetric<br />

measurement <strong>of</strong> total hemoglobin. The assay successfully completed <strong>the</strong> National<br />

Glycohemoglobin Standardization Program (NGSP) manufacturer certification, and<br />

results can be converted to IFCC units.<br />

Results: The HbA1c assay demonstrated acceptable observed within-run and total<br />

imprecision <strong>of</strong>


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

abdominal magnetic resonance imaging (MRI) was performed to fur<strong>the</strong>r characterize<br />

<strong>the</strong> mass, revealing a small ileus mass (3 x 2cm) probably a carcinoid tumor with<br />

infiltrated mesenteric fat and desmoplastic-like appearance, and a small adenopathy<br />

nearby. Two hepathic lesions are also showed, <strong>the</strong>y are suggestive <strong>of</strong> metastasis. The<br />

determination <strong>of</strong> 5-hydroxyindoleacetic acid (5HIAA) and serotonin in 24-hour urine<br />

sample and plasma chromogranin A were solicited. Data are 5HIAA= 94.5 nmol/<br />

mgCr (0-34), serotonin= 0.56 nmol/mgCr (0-0.80) and chromogranin A= 66 ng/mL<br />

(19.4-98.1). Surgical resection was performed.<br />

Conclusion:To our knowledge, this observation describes <strong>the</strong> case <strong>of</strong> skin<br />

manifestations associated with carcinoid tumor <strong>of</strong> <strong>the</strong> small bowel. The detection<br />

<strong>of</strong> this tumor at an early stage, revealed by figurative ery<strong>the</strong>ma, which was possible<br />

because <strong>of</strong> <strong>the</strong> availability <strong>of</strong> markers.<br />

A-314<br />

Comparison <strong>of</strong> Three Automated Hb A1c Assays<br />

F. Gerin, O. Baykan, M. Arpa, O. Sirikci, G. Haklar. Marmara University<br />

School <strong>of</strong> Medicine Department <strong>of</strong> Biochemistry, Istanbul, Turkey<br />

Background: Hemoglobin A 1c<br />

(Hb A 1c<br />

) is used for monitoring glycemic control<br />

and response to <strong>the</strong>rapy in diabetic patients. The American Diabetes Association<br />

(ADA) recommended its use in diagnosis <strong>of</strong> diabetes. We evaluated <strong>the</strong> analytical<br />

performances <strong>of</strong> 3 automated assays; Recipe and Zivak HPLC, and Roche<br />

immunoassay. We paid special attention to <strong>the</strong> interference <strong>of</strong> uremia, different<br />

hemoglobin concentrations, carbamylated hemoglobin (cHb), acetylated hemoglobin<br />

(AcHb), and fetal hemoglobin (Hb F).<br />

Methods: A total <strong>of</strong> 199 EDTA anticoagulated venous samples from 62 healthy<br />

individuals, 90 diabetic patients, chronic hemodialysis patients (n=8) and samples with<br />

low (Hb15 g/dL, n=10) hemoglobin concentration, or<br />

high Hb F (n=19) were analyzed within 2 hours. The interference <strong>of</strong> cHb and AcHb<br />

was checked by incubating pooled blood samples (Hb A 1c<br />

, 5.0%) with sodium cyanide<br />

(≤2 mmol/L) or acetaldehyde solutions (2–10 mol/L), respectively.<br />

All Hb A 1c<br />

analyses were performed at <strong>the</strong> Marmara University Pendik Hospital<br />

Biochemistry Laboratory with two ion-exchange HPLC methods; <strong>the</strong> Recipe HPLC<br />

(Recipe Chemicals–Instruments, Germany) and <strong>the</strong> Zivak HPLC automated system<br />

(Zivak Technologies, Turkey), and <strong>the</strong> Roche immunoassay reagent on Roche<br />

Modular autoanalyzer. Precision, bias and correlation studies were performed<br />

according to ‘Approved Guideline’ (EP09-A2). NGSP approved control materials<br />

were used. Statistical analysis were performed using <strong>the</strong> SPSS 15.0 s<strong>of</strong>tware and<br />

MedCalc 11.6.0.0. The differences between methods and significance <strong>of</strong> pairwise<br />

differences were conducted with Friedman and Wilcoxon sign test, respectively.<br />

Bland-Altman and relative differences plots were used for comparison. Passing-<br />

Bablok regression analysis and correlation coefficents were calculated. p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

IMMULITE 2000; Ortho VITROS ECi) and an in-house LC-MS/MS method.<br />

Additionally, cortisone was measured by LC-MS/MS in both populations.<br />

Results: Agreement was observed for most <strong>of</strong> <strong>the</strong> six automated immunoassays when<br />

compared with LC-MS/MS using samples from healthy subjects and SRM material.<br />

Substantial positive biases were observed using samples from ICU subjects (Table).<br />

Statistically significant differences were observed between regression slopes <strong>of</strong><br />

ICU and healthy subjects for all immunoassays (p


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Conclusion: An automated assay <strong>of</strong> aldosterone could be very attractive for<br />

laboratorians. Even if its results are not very comparable to those yielded by <strong>the</strong><br />

previously used RIAs, <strong>the</strong>se assays are known to be plagued by lower consistency.<br />

StatisProTM allows an easy and fast comparison <strong>of</strong> methods via paired results from<br />

patients and can be employed for providing <strong>the</strong> necessary information to clinicians<br />

and carries out <strong>the</strong> required calculations and graphs.<br />

A-319<br />

Plasma Aldosterone measured using DiaSorin ALDOCTK-2<br />

and DiaSorin LIAISON® XL; a comparison using <strong>the</strong> s<strong>of</strong>tware<br />

StatisProTM (CLSI-Analyse-it)<br />

R. M. Dorizzi, V. Zanardi, S. Vallicelli, A. Piscopo, S. Bellini, C. Gollini.<br />

Laboratorio Unico di AVR, Cesena, Italy<br />

Background: CLSI standards are used all around <strong>the</strong> world in clinical practice<br />

by many laboratorians but very <strong>of</strong>ten <strong>the</strong>y require complex calculations not easily<br />

performed by standard commercial s<strong>of</strong>twares. CLSI developed in conjunction with<br />

Analyse-it a S<strong>of</strong>tware (StatisProTM) which friendly carries out all <strong>the</strong> calculations<br />

required by relevant CLSI standards: EP10-A3, EP09-A2-IR, EP15-A2, EP05-A2,<br />

EP06-A, EP17-A, C28-A3 that we are using quite frequently in daily activity. The<br />

aim <strong>of</strong> our study was to compare <strong>the</strong> results yielded by ALDOCTK-2 (CTK2) and<br />

DiaSorin LIAISON® XL (XL) in <strong>the</strong> measurement <strong>of</strong> plasma aldosterone using<br />

EP9A2-IR CLSI standard and StatisProTM (CLSI and Analyse-it, Wayne, PA, USA).<br />

Methods: We measured aldosterone using respectively CTK2 and XL (DiaSorin,<br />

Saluggia, Italy) in 44 plasma samples collected in patients suffering from hypertension.<br />

The measurements were simultaneously carried out in duplicate strictly following <strong>the</strong><br />

EP9A2-IR CLSI standard and <strong>the</strong> calculations and <strong>the</strong> graphs were carried out using<br />

StatisProTM.<br />

Results: We found a moderate correlation (r : 0.900), an intercept= 28.617 and a<br />

slope =0-593 (Passing Bablok regression); Sy.x was 58.2. The difference plot shows<br />

a fair consistency under 131.9 ng/L (mean bias: 6.17 ng/L), higher RIA concentration<br />

between 131.95 and 243 ng/L (mean bias: 54.15 ng/L), and much higher RIA<br />

concentration at values higher than 243 ng/L values (mean bias: 165.64 ng/L). The<br />

repeatability plots demonstrate excellent repeatability <strong>of</strong> LIAISON®XL (Figure,<br />

bottom) compared to RIA (Figure, top).<br />

A-320<br />

Analytical Performance Of The Premier Hb9210 For HbA1c<br />

Measurement<br />

J. Arias-Stella, J. Zajechowski, L. Stezar, M. Cosman, D. Swiderski, C.<br />

Feldkamp, V. I. Luzzi. Henry Ford Hospital, Detroit, MI<br />

Background: Glycated hemoglobin (A1c%) is used in <strong>the</strong> diagnosis and management<br />

<strong>of</strong> diabetes and directly correlates with <strong>the</strong> mean blood glucose concentration 8 to<br />

12 weeks prior. We use <strong>the</strong> BioRad Variant II system and perform approximately<br />

800 tests per day. The average turn-around-time (TAT) for results is approximately<br />

20 hours. The goal <strong>of</strong> this study was to decrease <strong>the</strong> TAT, increase <strong>the</strong> accuracy in<br />

<strong>the</strong> presence <strong>of</strong> Hb variants and decrease <strong>the</strong> cost <strong>of</strong> <strong>the</strong> test. We investigated <strong>the</strong><br />

analytical performance <strong>of</strong> <strong>the</strong> Trinity Hb9210 boronate affinity chromatography<br />

method to measure glycated Hb. The Trinity instrument is reported to be unaffected<br />

by most variants and also allowed instrument interface with autovalidation.<br />

Methods: A1c % was measured on <strong>the</strong> BioRad Variant II and <strong>the</strong> Trinity Hb9210<br />

instrument on ~ 50 consecutive specimens. Imprecision and linearity were examined<br />

using human whole blood specimens or commercially available reagents. A1c controls<br />

were used for <strong>the</strong> imprecision. Linearity was demonstrated by mixing different<br />

proportions <strong>of</strong> selected low and high concentration specimens (3% and 18.7%). TAT<br />

is <strong>the</strong> average time from arrival <strong>of</strong> <strong>the</strong> specimen in <strong>the</strong> laboratory to <strong>the</strong> time results<br />

were reported.<br />

Results: For specimens not containing Hb variants <strong>the</strong> correlation was excellent<br />

(Hb9210=0.95(BioRad) + 0.08; R2=0.99, n=49). Three specimens with Hb variants<br />

were discrepant. Hb9210 values were confirmed by an alternate method (figure).<br />

Imprecision (coefficient <strong>of</strong> variation, CV (%)) was 0% at 5.4%, and 0.5% at 10.8%.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A97


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

Average percent recovery <strong>of</strong> controls between 3.7% and 18.5% was 98% with<br />

maximum deviation <strong>of</strong> 92%. TAT for autovalidated results using <strong>the</strong> Hb9210 was


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-323<br />

Demonstration <strong>of</strong> a Combined Total Hemoglobin and Hemoglobin A1c<br />

Control with Extended Stability<br />

J. Starobin, B. Fernandez, S. Musngi, M. Ghadessi, M. Ban. Quantimetrix<br />

Corporation, Redondo Beach, CA<br />

Background:Total Hemoglobin (Hb) and <strong>the</strong> Hemoglobin A1c variant (HbA1c) have<br />

become increasingly important tests, particularly in <strong>the</strong> point-<strong>of</strong>-care (POC) setting.<br />

Hb is used to detect <strong>the</strong> presence <strong>of</strong> several conditions and diseases including anemia,<br />

chronic renal disease, chronic lung disease, and dehydration. HbA1c is used to both<br />

diagnose diabetes mellitus and assess long-term glycemic control in diabetic patients.<br />

Objective:To formulate a liquid combined Hb/HbA1c control with stability <strong>of</strong> at least<br />

6 months at 2-8ºC and 3 weeks at room-temperature (RT) for utility in both <strong>the</strong> central<br />

laboratory and POC settings.<br />

Methods:A two level control was formulated in whole blood and adjusted for Hb and<br />

HbA1c levels. Level 1 (normal) consisted <strong>of</strong> Hb in <strong>the</strong> 14.5 to 15.5 g/dL range and<br />

HbA1c in <strong>the</strong> 5.0 to 7.5% range. Level 2 (abnormal) consisted <strong>of</strong> Hb in <strong>the</strong> 9.5 to 10.5<br />

g/dL range and HbA1c in <strong>the</strong> 10 to 15% range. Samples <strong>of</strong> both levels were subjected<br />

to accelerated stability testing at 25°C and 30°C as well as on-going real-time stability<br />

testing. HbA1c testing was performed on <strong>the</strong> Siemens Dimension ExL. Hb testing<br />

was performed on <strong>the</strong> HemoCue Hb 201+. The accelerated stress data was used to<br />

create an Arrhenius model allowing for <strong>the</strong> prediction <strong>of</strong> long-term stability.<br />

Results:<br />

Accelerated Stability for Hb and HbA1c<br />

Level 1<br />

Calculated Ea Predicted -20ºC Predicted 4ºC<br />

Analyte<br />

(cal/mol) Stability Stability<br />

Total<br />

16,706 > 10 years 8.5 months 40 days<br />

Hemoglobin<br />

% HbA1c 22,118 >> 10 years 36 months 93 days<br />

Level 2<br />

Calculated Ea Predicted -20ºC Predicted 4ºC<br />

Analyte<br />

(cal/mol) Stability Stability<br />

Total<br />

15,211 8 years 7 months 39 days<br />

Hemoglobin<br />

% HbA1c 27,296 >> 10 years 35 months 52 days<br />

Predicted 22ºC<br />

Stability<br />

Predicted 22ºC<br />

Stability<br />

Conclusion:The new Quantimetrix combined Hb/HbA1c control shows 2-8ºC<br />

stability <strong>of</strong> at least 7 months and room temperature stability <strong>of</strong> at least 5 weeks.<br />

Real-time results at 25ºC correlate well with <strong>the</strong> room temperature (22ºC) prediction.<br />

On-going real-time analysis will be used to validate <strong>the</strong> 2-8ºC stability prediction.<br />

The control is suited to both <strong>the</strong> central laboratory and POC settings where <strong>the</strong><br />

extended room temperature stability is ideal for locations where refrigeration is not<br />

conveniently available.<br />

A-324<br />

A Sensitive and Selective Analysis <strong>of</strong> Allopregnanolone and<br />

Pregnanolone in Human Plasma using LC-MS/MS and Differential<br />

Ion Mobility Spectrometry<br />

W. Jin 1 , M. J. Y. Jarvis 1 , M. Star-Weinstock 2 , B. Patterson 3 , M. Altemus 4 .<br />

1<br />

AB SCIEX, Concord, ON, Canada, 2 AB SCIEX, Framingham, MA, 3 AB<br />

SCIEX, Victoria, Australia, 4 Weill Medical College, Cornell University,<br />

New York, NY<br />

Background: For Research Use Only. Not For Use In Diagnostic Procedures. There<br />

is growing interest in <strong>the</strong> <strong>the</strong>rapeutic potential <strong>of</strong> gabaergic neuroactive steroid<br />

compounds, and <strong>the</strong> 3-alpha metabolites <strong>of</strong> progesterone, testosterone, deoxycortisol<br />

and androstenedione have been shown to have potent anxiolytic, analgesic, antiseizure,<br />

and neuroprotective effects in animal models and to activate GABA A<br />

receptors. The<br />

most studied <strong>of</strong> <strong>the</strong>se has been allopregnanolone. However, understanding <strong>of</strong> <strong>the</strong><br />

physiological role <strong>of</strong> <strong>the</strong>se compounds has been limited by <strong>the</strong> difficulty <strong>of</strong> measuring<br />

<strong>the</strong>se compounds in biological samples. Currently only GC/MS assays with labor<br />

intensive extraction steps have adequate sensitivity to measure <strong>the</strong>se compounds<br />

in biological samples and only a few specialized academic laboratories have <strong>the</strong><br />

expertise to conduct <strong>the</strong>se measurements. We propose to develop <strong>the</strong> capacity to use<br />

LC-MS/MS to measure GABAergic neurosteroid compounds in biological samples<br />

to enable <strong>the</strong> identification <strong>of</strong> biomarkers <strong>of</strong> disease risk, predictors <strong>of</strong> treatment<br />

response, and new <strong>the</strong>rapeutic targets.<br />

Methods: The challenges for LC-MS/MS analysis <strong>of</strong> allopregnanolone are (i) its<br />

poor ionization efficiency, and (ii) <strong>the</strong> presence <strong>of</strong> numerous isobaric interferences<br />

in biological samples including, but not limited to, its isomer pregnanolone. To<br />

overcome <strong>the</strong>se challenges, ion mobility separation was combined with conventional<br />

LC-MS/MS detection using a highly sensitive AB SCIEX Triple Quad 6500<br />

mass spectrometer equipped with <strong>the</strong> SelexION ion mobility device. The method<br />

employed liquid-liquid extraction <strong>of</strong> 100μL serum or plasma. After extraction,<br />

<strong>the</strong> sample was derivatized using a commercially available quaternary aminooxy<br />

reagent. Liquid chromatography (LC) separation <strong>of</strong> allopregnanolone and its isomer<br />

pregnanolone was achieved using a Phenomenex Kinetex C18 2.1x100 mm column.<br />

Results: The analytical method was developed to cover a calibration range from 5 pg/<br />

mL to 100 ng/mL in serum or plasma. Inter- and intra-day precision was determined<br />

to be less than 10%, and inter- and intra-day accuracy was between 91 and 108%.<br />

The observed recovery for <strong>the</strong> extraction method was greater than 95%, and <strong>the</strong><br />

limit <strong>of</strong> quantitation for <strong>the</strong> method was 5 pg/mL, for both allopregnanolone and<br />

pregnanolone, which is significantly better than what can be found in <strong>the</strong> literature. In<br />

reality, this method is sufficiently sensitive to enable <strong>the</strong> measurement <strong>of</strong> less than 1<br />

pg/mL <strong>of</strong> allopregnanolone and pregnanolone, however it was difficult to find blank<br />

matrix material (double-charcoal stripped human plasma) containing less than 1-2 pg/<br />

mL <strong>of</strong> endogenous allopregnanolone and pregnanolone, for which reason we have<br />

prepared our lowest calibrators at 5 pg/mL.<br />

Plasma samples from ‘normal’, pregnant, and postpartum women were analysed using<br />

this method. Measured concentrations <strong>of</strong> allopregnanolone ranged from 4,000-16,000<br />

pg/mL in <strong>the</strong> pregnant samples, from 25-210 pg/mL in <strong>the</strong> ‘normal’ samples, and from<br />

6-30 pg/mL in <strong>the</strong> postpartum samples.<br />

Conclusions: Employing LC-MS/MS and differential ion mobility spectrometry,<br />

a highly sensitive method has been developed to enable <strong>the</strong> measurement <strong>of</strong><br />

allopregnanolone and pregnanolone at concentrations as low as 5 pg/mL in human<br />

plasma.<br />

A-325<br />

Circulating levels <strong>of</strong> matrix metalloproteinases(MMP-2), tissue<br />

inhibitors <strong>of</strong> metalloproteinases(TIMP-2), reactive carbonyl<br />

compounds and advanced glycation end products in type 2 diabetic<br />

patients<br />

H. Erman 1 , R. Gelisgen 2 , Ö. Tabak 3 , H. Uzun 2 . 1 Kafkas university Kafkas<br />

medical faculty Department <strong>of</strong> Medical Biochemistry, Kars, Turkey,<br />

2<br />

Istanbul university Cerrahpasa medical faculty Department <strong>of</strong> Medical<br />

Biochemistry, Istanbul, Turkey, 3 Istanbul Education and Research Hospital,<br />

Internal Medicine Clinic, Istanbul, Turkey<br />

Background:Diabetes mellitus (DM) is associated with an increased incidence <strong>of</strong><br />

cardiovascular events and microvascular complications. Alterations in vascular<br />

structure, characterized by extracellular matrix deposits in <strong>the</strong> capillary and basement<br />

membranes, contribute to <strong>the</strong> pathogenesis <strong>of</strong> vascular complicatios <strong>of</strong> diabetes.<br />

Among several biochemical pathways mediated by hyperglycemia, <strong>the</strong> accumulation<br />

<strong>of</strong> advance glycation end products (AGEs) has been shown to correlate with <strong>the</strong><br />

degree <strong>of</strong> diabetic complications. In particular, increases in extracellular matrix<br />

(ECM) are associated with <strong>the</strong> accumulation <strong>of</strong> AGEs, which reduces matrix turnover.<br />

The balance between MMPs and TIMPs are critical for <strong>the</strong> eventual ECM remodelling<br />

in <strong>the</strong> tissue. Disturbances <strong>of</strong> physiological balance between metalloproteinases and<br />

<strong>the</strong>ir inhibitors seem to play an important role in <strong>the</strong> development and progression <strong>of</strong><br />

diabetic microangiopathy. RCOs react nonenzymatically with protein amino groups<br />

and eventually yield AGE. A role for glucose and for AGEs in <strong>the</strong> regulation <strong>of</strong> MMP<br />

expression has also been demonstrated in vitro. In this study, we aimed firstly to<br />

measure <strong>the</strong> plasma levels <strong>of</strong> MMP-2 an <strong>the</strong>ir specific tissue inhibitors TIMP-2 in<br />

type 2 diabetic patients with microvascular complications and without complications<br />

and in healthy subjects, secondly to investigate <strong>the</strong> plasma levels <strong>of</strong> AGEs and RCOs,<br />

which are precursors <strong>of</strong> AGEs and <strong>the</strong>ir relationship with MMPs-TIMPs levels.<br />

Methods:We studied 65 patients with type 2 diabetes and 25 healthy subjects as<br />

control. Type 2 diabetic patients were divided into two groups as with microvascular<br />

complications (n:40) and without complications (n:25). Plasma levels <strong>of</strong> MMP-2,<br />

TIMP-2, AGE were determined using immunoenzymatic assays. Plasma levels <strong>of</strong><br />

RCO were determined using spectrophotometric methods.<br />

Results:MMP-2, TIMP-2, AGE and RCO plasma levels were found significantly<br />

higher in tip 2 diabetic patients(p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

p


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-329<br />

Multi-center comparison <strong>of</strong> testosterone measurements using<br />

immunoassay and mass spectrometry<br />

D. M. Milhorn 1 , D. W. Chandler 2 , S. H. Pepkowitz 2 , N. L. Korpi-Steiner 1 ,<br />

C. A. Hammett-Stabler 1 . 1 UNC Hospitals, Chapel Hill, NC, 2 Endocrine<br />

Sciences, a LabCorp Company, Calabasas Hills, CA<br />

Background: Measurement <strong>of</strong> circulating total testosterone can be important in <strong>the</strong><br />

evaluation <strong>of</strong> endocrine function as well as in <strong>the</strong> investigation <strong>of</strong> o<strong>the</strong>r endogenously<br />

and exogenously produced androgen disorders. These investigations encompass all<br />

ages and include females as well as males. Thus analytical methods must be able to<br />

span a broad measuring range, typically over 1-1000 ng/dL. The aim <strong>of</strong> this study<br />

was to compare <strong>the</strong> analytical performance <strong>of</strong> a micro-well competitive testosterone<br />

immunoassay with a testosterone measurement using LC-MS/MS to determine <strong>the</strong><br />

suitability <strong>of</strong> this immunoassay for all populations.<br />

Methods: Serum samples (n=45) submitted for routine testosterone evaluation were<br />

used for this comparative study as part <strong>of</strong> ongoing quality initiatives. Testosterone<br />

measurements were performed using <strong>the</strong> VITROS 5600 Integrated System (Ortho<br />

Clinical Diagnostics, Rochester, NY) and a laboratory developed method (Endocrine<br />

Sciences, a LabCorp company, Calabasas Hills, CA) using <strong>the</strong> API5000 High<br />

Performance LC-MS/MS (Applied Biosystems Sciex, Grand Island, NY). The results<br />

<strong>of</strong> <strong>the</strong> samples used for <strong>the</strong> comparison study ranged from 5 ng/dL to 1530 ng/dL. In<br />

addition calibrations were compared on each instrument by exchange <strong>of</strong> calibration<br />

material.<br />

Results: Comparative analysis <strong>of</strong> <strong>the</strong> testosterone VITROS automated immunoassay<br />

with testosterone by LC-MS/MS yielded <strong>the</strong> regression equation: VITROS = 0.67x<br />

LC-MS/MS + 5.9, (R 2 = 0.976). These data demonstrated <strong>the</strong> VITROS immunoassay<br />

has a proportional bias that included a positive bias at reportable testosterone levels<br />

<strong>of</strong> ≤ 35 ng/dL and a negative bias at <strong>the</strong> higher end <strong>of</strong> <strong>the</strong> AMR as compared to<br />

<strong>the</strong> LC-MS/MS method. Analysis <strong>of</strong> calibration materials yielded a negative bias<br />

throughout <strong>the</strong> AMR using <strong>the</strong> immunoassay as compared to LC MS/MS on both<br />

sets <strong>of</strong> calibrators.<br />

Conclusion: While <strong>the</strong> VITROS automated immunoassay is a sensitive and specific<br />

assay likely sufficient for <strong>the</strong> measurement <strong>of</strong> testosterone in <strong>the</strong> adult healthy male, its<br />

use in <strong>the</strong> pediatric and female populations may be problematic because in our hands<br />

<strong>the</strong> assay overestimates testosterone concentration in <strong>the</strong> ranges necessary for <strong>the</strong>se<br />

populations. Given this positive bias we recommend its use for screening purposes<br />

with consideration <strong>of</strong> follow-up confirmation using LC-MS/MS based upon clinical<br />

needs. Noteworthy, calibration comparisons demonstrated a different bias pr<strong>of</strong>ile<br />

compared to patient specimens suggesting matrices effect and lack <strong>of</strong> commutability.<br />

This study fur<strong>the</strong>r supports <strong>the</strong> need for <strong>the</strong> development <strong>of</strong> communicable standards<br />

as well as harmonization <strong>of</strong> testosterone measurement procedures, such as <strong>the</strong> CDC<br />

steroid hormone standardization project, in order to improve comparability and<br />

facilitate interpretation <strong>of</strong> clinical data.<br />

A-330<br />

OPTIMIZING GLUCAGON STIMULATING TEST FOR<br />

CHILDHOOD GROWTH HORMONE DEFICIENCY<br />

Y. Schrank, M. Freire, R. Fontes, O. Fernandes. DASA - laboratory<br />

medicine, rio de janeiro, Brazil<br />

Background: There is no consensus on <strong>the</strong> stimulation test considered <strong>the</strong> “gold<br />

standard” for <strong>the</strong> diagnosis <strong>of</strong> GH deficiency, although <strong>the</strong> GH stimulation test with<br />

insulin continues to play a major role in <strong>the</strong> diagnosis <strong>of</strong> GH deficiency, because it<br />

has <strong>the</strong> best overall test performance (sensitivity and specificity). The administration<br />

<strong>of</strong> insulin represents, however, not an entirely risk-free procedure, and is <strong>the</strong>refore<br />

contraindicated in children younger than 3 years, as well as in children with a history<br />

<strong>of</strong> seizures. In this context, <strong>the</strong> glucagon stimulation test has been increasingly<br />

indicated (because <strong>of</strong> its safety and tolerance), especially in children below 6 years.<br />

The greatest limitation <strong>of</strong> this test is its long duration (blood samples are taken before<br />

intramuscular or subcutaneous administration <strong>of</strong> glucagon, and <strong>the</strong>n every half hour<br />

for 3 hours).<br />

Objectives: In order to optimize <strong>the</strong> specimen collection for <strong>the</strong> glucagon stimulation<br />

test we studied timing <strong>of</strong> <strong>the</strong> peak value <strong>of</strong> GH. The aim <strong>of</strong> our study was to examine<br />

whe<strong>the</strong>r <strong>the</strong> glucagon stimulation test could be performed with fewer samples without<br />

compromising its diagnostic value.<br />

Materials and Methods: We retrospectively reviewed 100 responsive GH stimulation<br />

test with glucagon performed at our clinical laboratory. A test was considered<br />

responsive when peak GH was above 5ng/mL.<br />

Results: The mean age <strong>of</strong> our patients was 8 years, and male:female ratio was 2:1.<br />

Median GH values were respectively 2.4ng/mL, 5.9ng/mL, 12.8ng/mL, 8.4ng/mL,<br />

5.6ng/mL and 2.5ng/mL before and 90, 120, 150, 180 and 210 minutes after <strong>the</strong><br />

stimulus. Eighty-four patients showed GH peak response 120 minutes after glucagon.<br />

Only 8% hat a peak GH response at any o<strong>the</strong>r time than 90, 120 and 150 minutes.<br />

However, half <strong>of</strong> <strong>the</strong>se patients showed a GH satisfactory response (but not a peak<br />

response) at 90, 120 or 150 minutes after <strong>the</strong> stimulus. We fur<strong>the</strong>r note that <strong>the</strong><br />

omission <strong>of</strong> <strong>the</strong> basal time, in no way compromises <strong>the</strong> interpretation <strong>of</strong> GH stimulus<br />

with glucagon.<br />

Conclusions: We conclude that GH stimulations test with Glucagon can be<br />

optimized, without compromising its end result, by collecting only three specimens<br />

for GH determination 90, 120 and 150 minutes after sub-cutaneous administration <strong>of</strong><br />

<strong>the</strong> secretagoge.<br />

A-331<br />

Total vitamin D status in <strong>the</strong> patients with diabetes mellitus and<br />

possible connection with low levels <strong>of</strong> pancreatic elastase in <strong>the</strong> feces<br />

R. Stojkovic, S. Jovicic, S. Ignjatovic, N. Majkic-Singh. Clinical Center <strong>of</strong><br />

Serbia, Belgrade, Serbia<br />

In pancreas, <strong>the</strong> cells <strong>of</strong> Langerhans islets are scattered within <strong>the</strong> exocrine pancreatic<br />

tissue achieving close contact via islet-acinar portal system. The measurement <strong>of</strong><br />

pancreatic elastase (PE) in feces is used widely to screen for pancreatic exocrine<br />

disfunction. There is a convincing evidence that vitamin 1,25-(OH)2D regulates β-cell<br />

function by various mechanisms, such as <strong>the</strong> effect on insulin secretion through <strong>the</strong><br />

regulation <strong>of</strong> intracellular Ca2 + levels, increased resistance to β-cell apoptosis and<br />

a likely increase <strong>of</strong> β-cell replication. We examined <strong>the</strong> prevalence <strong>of</strong> insufficient<br />

concentrations <strong>of</strong> total vitamin D in <strong>the</strong> patients with diabetes mellitus (DM) and<br />

possible connection between low levels <strong>of</strong> PE in <strong>the</strong> feces and inadequate levels <strong>of</strong> <strong>the</strong><br />

total vitamin D, as a measure <strong>of</strong> qualitative malnutrition.<br />

The study population was comprised <strong>of</strong> a cohort <strong>of</strong> 48 patients with type 1 and type<br />

2 diabetes mellitus. Study also included a control group that consisted <strong>of</strong> 24 healthy<br />

volunteers. PE was determined by ELISA method, using monoclonal antibody<br />

(ScheBo Biotech, Giessen, Germany), while <strong>the</strong> total vitamin D concentration in<br />

serum was assayed by electrochemiluminiscence technology on Cobas e601 analyzer<br />

(Roche Diagnostics, Wiesbaden, Germany).<br />

Compared to <strong>the</strong> control group, patients with DM had significantly lower values<br />

(Student t-test, P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

Methods: E2 and TT were simultaneously isolated from proteins, phospholipids,<br />

and o<strong>the</strong>r matrix components in serum (200 μl) through liquid-liquid extractions<br />

(LLE). All extraction procedures were performed with a 96-well plate platform<br />

using an automated Hamilton liquid handling system to allow for high throughput.<br />

Internal standards <strong>of</strong> 13C-labeled estradiol (E2) and testosterone (TT) were used for<br />

quantification. The LC separation was performed on a Thermo <strong>Scientific</strong> Accucore<br />

Phenylhexyl column (150 x 3.0 mm, 2.6 μm particle size) with a gradient <strong>of</strong> water<br />

and methanol and ammonium fluoride modifier to improve <strong>the</strong> ionization <strong>of</strong> E2. An<br />

ABSciex 5500 quadrupole instrument was operated in electrospray positive-negative<br />

switching selected reaction monitoring mode. E2 and its internal standard were<br />

quantified in negative-ion mode with <strong>the</strong> ion transition m/z 271 to 145 and 274 to 148,<br />

respectively. Simultaneously TT and its internal standard were quantified in positiveion<br />

mode with transition m/z 289 to 97 and 292 to 100.<br />

Results: E2 and TT were measured simultaneously by ID LC-MS analysis coupled<br />

with LLE in a 96 well plate format using an automated system. The LODs <strong>of</strong> E2 and<br />

TT were determined to be 2.0 pg/mL and 0.35 ng/dL, respectively. The upper limit<br />

<strong>of</strong> linearity was 1000 pg/ml for E2 and 1300 ng/dL for TT. Between run CVs were<br />

3.5-5.2% for E2 at 3 representative levels and 1.2-5.0% for TT, respectively. Within<br />

run CV were 4.3-7.1% for E2 and 1.4-2.3 % for TT, respectively. The testosterone and<br />

estradiol were well separated, and no interference was detected for <strong>the</strong> 32 analogues<br />

tested. The accuracy <strong>of</strong> <strong>the</strong> method was evaluated with comparisons to 40 serum based<br />

certified reference materials with <strong>the</strong> average bias within <strong>the</strong> suggested performance<br />

criteria: E2 (8.3%) and TT (6.4%).<br />

Conclusion: Total E2 and TT were measured simultaneously by this method with<br />

accuracy and appropriate sample throughput. This method can be used in serum <strong>of</strong><br />

male and female including pediatrics, old men, and postmenopausal women. This<br />

method will be used to measure E2 and TT in <strong>the</strong> NHANES and o<strong>the</strong>r research studies.<br />

analytical platform migration should be studied. The aim <strong>of</strong> this study was to establish<br />

reference intervals for prolactin send to Labrede (Reference Laboratory <strong>of</strong> Specialized<br />

Diagnostics), MG, Brazil using a commercial reagent.<br />

Methods: Samples were obtained from 125 female and 322 male blood donors,<br />

presumably healthy based on interview and clinical examination, according to<br />

national regulation <strong>of</strong> blood donation. These criteria excluded patients with acute<br />

illness, chronic diseases, pregnant women, users <strong>of</strong> various drugs and accepted <strong>the</strong><br />

use <strong>of</strong> female hormones. The sample was taken after donation and physical rest,<br />

but fasting was not observed. The samples were stored at -20oC. We used Architect<br />

i2000, microparticle chemiluminescence immunoassay (Abbott Park, IL, USA). The<br />

maximum imprecision for controls was 4.57%. The reference range was defined as<br />

95% central interval. Statistical analyses were performed by EP Evaluator® and<br />

applied CLSI nonparametric and parametric transformed protocols.<br />

Results and Conclusions: The 95% central interval non-parametric approach was<br />

4.1-37.5ng/ml to females and 4.0-29.0ng/mL for males. It was concluded that <strong>the</strong><br />

manufacturer’s values (n = 100), 3.46-19.40ng/mL and 5.18-26.53ng/mL, for men<br />

and women respectively, do not apply to <strong>the</strong> present study population. Thus, use <strong>of</strong><br />

samples <strong>of</strong> database, as selected, consists in a viable option to statistical analysis and<br />

populational reference values calculation, providing improvement in laboratorial<br />

practice as occurred with prolactin in Architect System.<br />

A-333<br />

Age-specific increase in thyrotropin (TSH): a population based study<br />

in Brazil<br />

R. FONTES 1 , C. C. R. COELI 2 , F. AGUIAR 2 , M. FREIRE 1 , M. VAISMAN 2 .<br />

1<br />

DASA, RIO DE JANEIRO,RJ, Brazil, 2 UFRJ, RIO DE JANEIRO,RJ, Brazil<br />

Background: Some studies show a tendency to increase TSH levels with advancing<br />

age, with greater increase in those older than 60 years old.<br />

Objectives: To estimate changes in TSH by age groups in a cohort <strong>of</strong> elderly<br />

individuals comparing with young ones and determine central tendency values for<br />

each age group.<br />

Methods: Cross-sectional analysis <strong>of</strong> 1,220 individuals (50% women), mean age 62.2<br />

± 18 years (20-100), without goiter, no previous personal or family history <strong>of</strong> thyroid<br />

disease and negative thyroid antibodies, stratified by age.<br />

Results: In <strong>the</strong> whole sample, women and man had no different distribution <strong>of</strong> TSH<br />

values (2.45 ± 1.94 mUI/L vs. 2.25 ± 1.84 mUI/L; p=0.7786). Median TSH levels<br />

increased significantly with age: (p


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Objective: Assess <strong>the</strong> cross-reactivity <strong>of</strong> syn<strong>the</strong>tic insulins by commercial<br />

immunoassays to develop a testing strategy for physicians suspecting exogenous<br />

insulin use<br />

Methods: Spiked serum was prepared in triplicate at 50, 200 and 500 μIU/mL insulin,<br />

including Humalog (Lispro, Eli Lilly), NovoLog (Aspart, Novo Nordisk), Lantus<br />

(Glargine, San<strong>of</strong>i-Aventis), Novolin N (NPH, Novo Nordisk), Levemir (Detemir,<br />

Novo Nordisk) and Apidra (Glulisine, San<strong>of</strong>i-Aventis). Each sample was analyzed<br />

according to manufacturer’s specifications on six immunoassay platforms, including<br />

Beckman Access and Unicel DxI, Abbott Architect, ADVIA Centaur XP, Siemens<br />

Immulite 2000 and Roche Cobas e602. Mass spectrometric evaluation was performed<br />

as referenced in <strong>the</strong> literature by immunoaffinity chromatography and MS/MS on an<br />

Applied Biosystems QTrap mass spectrometer. Cross-reactivity was calculated as<br />

[(measured-blank/expected)x100], where <strong>the</strong> expected value was <strong>the</strong> known amount<br />

spiked into serum. For each set <strong>of</strong> samples, a serum blank was assayed without spiked<br />

syn<strong>the</strong>tic insulin to account for endogenous insulin present.<br />

Results: Cross-reactivity results are demonstrated below:<br />

Conclusion: Results demonstrate that <strong>the</strong> Roche e602 assay has little cross-reactivity<br />

with syn<strong>the</strong>tic insulins; under this circumstance, <strong>the</strong> recommended assay for assessing<br />

exogenous insulin uses an alternative immunoassay platform which can confirm most<br />

<strong>of</strong> <strong>the</strong> pharmaceutical insulins.<br />

Cross-Reactivity <strong>of</strong> Syn<strong>the</strong>tic Insulins by Immunoassay and MS Quantitation (as a<br />

percentage)<br />

Humalog NovoLog Lantus Novolin Levemir Aprida<br />

Beckman Access 72.1 55.1 98.4 75.8 18.3 8.52<br />

Abbott Architect 81.5 48.3 104.0 76.0 110.7 10.9<br />

ADVIA Centaur XP 65.5 70.5 87.7 77.3 54.6 1.53<br />

Beckman DxI 67.7 54.9 89.8 70.8 21.5 10.6<br />

Siemens Immulite 2000 25.1 18.8 54.8 78.3 95.8 -2.84<br />

Roche e602 0.00 -0.01 15.4 90.9 0.34 -0.12<br />

Mass Spectrometry 92.4 79.0 N/A* 113.5 106.1 109.4<br />

*Due to sample instability and international shipping, results were not obtainable for Lantus<br />

with mass spectrometry.<br />

A-337<br />

Prolactin and Reproductive Hormone Status in Oligomenorrheic and<br />

Infertile Females<br />

R. SUWAL, A. NEPAL, B. GELAL, S. GAUTAM, M. LAMSAL, S.<br />

MAJHI, N. BARAL. B P Koirala Institute <strong>of</strong> Health Sciences, Dharan,<br />

Nepal<br />

Background: Oligomenorrhea is one <strong>of</strong> <strong>the</strong> significant problems <strong>of</strong> female <strong>the</strong>se<br />

days. Oligomenorrhea during reproductive age group may lead to infertility which<br />

may cause matrimonial disharmony which is taken as serious problem in Asian<br />

sub-continent. The present study was designed to assess <strong>the</strong> prolactin, Follicular<br />

Stimulating Hormone (FSH) and Luteinizing Hormone (LH) in oligomenorrheic<br />

patients in Eastern region <strong>of</strong> Nepal.<br />

Materials and Methods: A total <strong>of</strong> 126 patients came to <strong>the</strong> immunoassay laboratory<br />

<strong>of</strong> Department <strong>of</strong> Biochemistry for <strong>the</strong> testing <strong>of</strong> Prolactin, LH and FSH from<br />

Department <strong>of</strong> <strong>the</strong> Obstetrics and Gynecology with complain <strong>of</strong> oligomenorrhea<br />

and primary and secondary infertility were enrolled in this study. Five milliliters<br />

venous blood samples were collected in plain vials and transported to <strong>the</strong> laboratory<br />

maintaining cold chains. Serum Prolactin, FSH and LH were measured by ELISA<br />

method (Eliscan, India). Kolmogorov-Smirnov test was used to test <strong>the</strong> normality <strong>of</strong><br />

<strong>the</strong> data. Man-Whitney test was used to test <strong>the</strong> significance <strong>of</strong> hormone level between<br />

<strong>the</strong> groups at p value


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

Conclusion: This study establishes a strong relationship between serum testosterone<br />

and metabolic syndrome in subjects with both diabetes and hypertension. This suggests<br />

that hypogonadism is a common phenomenon in patients with both diabetes and<br />

hypertension in Nigeria.It may <strong>the</strong>refore be advisable to include routine measurement<br />

<strong>of</strong> testosterone level in <strong>the</strong> management <strong>of</strong> patients presented with both diabetes and<br />

hypertension. Fur<strong>the</strong>rmore, testosterone replacement <strong>the</strong>rapy may improve <strong>the</strong> life<br />

expectancy <strong>of</strong> <strong>the</strong>se patients.<br />

A-340<br />

Novel sandwich immunoassay for quantification <strong>of</strong> 25-hydroxy vitamin<br />

D on fully automated analyzer<br />

T. Ando, Y. Kitamura, T. Sakyu, Y. Uchida, M. Tomita, F. Takemura, T.<br />

Shirakawa, K. Aoyagi, K. Goishi, K. Omi. Fujirebio Inc., Tokyo, Japan<br />

Background: Vitamin D is well known for its role as an important regulator <strong>of</strong><br />

calcium homeostasis and bone remodeling, and also known to affect <strong>the</strong> development<br />

<strong>of</strong> several non-bone diseases. 25-hydroxy vitamin D (25OH-D) is <strong>the</strong> best vitamin<br />

D marker, and can be measured by using competitive immunoassay, HPLC, or<br />

liquid chromatography tandem mass spectrometry at present. As <strong>the</strong> number <strong>of</strong><br />

tests increases, demand for an automated 25OH-D assay continues to grow, but<br />

<strong>the</strong> automated assays available from various diagnostic manufacturers adopting<br />

competitive immunoassay with one antibody reportedly fail to meet accuracy and<br />

specificity requirements. Converting <strong>the</strong> assay principle from competitive to sandwich<br />

should greatly improve <strong>the</strong> assay performance. However, conventional sandwich<br />

immunoassay cannot be applied for measuring haptens, because haptens are too<br />

small for two antibody molecules to bind simultaneously. By using an antibody that<br />

specifically recognizes an immunocomplex consisting <strong>of</strong> 25OH-D and anti-25OH-D<br />

antibody, we have developed a sandwich immunoassay for 25OH-D that accurately<br />

measures 25OH-D.<br />

Methods: An antibody was established by ADLib (Autonomously Diversifying<br />

Library) system developed by Chiome Bioscience Inc. In ADLib, antibodies are<br />

generated in vitro from antibody libraries established by activating immunoglobulin<br />

gene diversification <strong>of</strong> chicken-derived DT40 cell. Human specimens were mixed<br />

with anti-25OH-D antibody-conjugated magnetic beads in treatment solution. The<br />

immunocomplex was quantified using an alkaline phosphatase-labeled secondary<br />

antibody recognizing <strong>the</strong> complex. All reactions were executed on fully automated<br />

chemiluminescence analyzer (LUMIPULSE, Fujirebio Inc.).<br />

Results: 25OH-D in human specimens was detected in a dose-dependent manner,<br />

and significant correlation with <strong>the</strong> commercially available Total Vitamin D RIA was<br />

observed (Pearson’s correlation coefficient, R 2 = 0.94). Precision ranges (CV %) <strong>of</strong><br />

our sandwich assay were 1.0-2.3% within run, and 1.9-3.5% for total precision. The<br />

use <strong>of</strong> <strong>the</strong> two antibodies enabled our assay to exhibit improved specificity against<br />

immunoreactive derivatives such as 24,25(OH) 2<br />

-D, which are present in human<br />

serum and known to cross-react with antibodies used in most commercially available<br />

immunoassay kits.<br />

Conclusion: Assay performance was significantly improved by converting <strong>the</strong><br />

immunoassay principle from competitive to sandwich. Our novel assay would<br />

provide high-throughput, accurate and specific immunoassay for 25OH-D. Our hapten<br />

sandwich immunoassay platform should be <strong>the</strong> simplest and most practical approach<br />

for routine assays <strong>of</strong> haptens including vitamins, hormones, drugs and toxins, leading<br />

to <strong>the</strong> breakthrough in analytical/clinical chemistry.<br />

A-341<br />

Evaluation <strong>of</strong> a Next Generation Enzymatic Assay for Hemoglobin A1c<br />

on <strong>the</strong> Abbott ARCHITECT c8000 Chemistry System<br />

T. Teodoro-Morrison 1 , Y. Wang 2 , P. M. Yip 2 . 1 University <strong>of</strong> Toronto,<br />

Toronto, ON, Canada, 2 University Health Network, Toronto, ON, Canada<br />

Background: Current guidelines from <strong>the</strong> American and Canadian Diabetes<br />

Association have recommended <strong>the</strong> use <strong>of</strong> HbA1c testing in <strong>the</strong> management and<br />

diagnosis <strong>of</strong> type 2 diabetes mellitus. With this expanded role for HbA1c, <strong>the</strong>re is<br />

a clinical need for accurate and precise test methods for HbA1c quantification as<br />

endorsed by <strong>the</strong> National Glycohemoglobin Standardization Program (NGSP).<br />

Fur<strong>the</strong>rmore, screening for early diabetes in <strong>the</strong> general population will find increased<br />

use considering <strong>the</strong> increasing prevalence <strong>of</strong> obesity. This present study evaluated<br />

a next generation fully automated and high-throughput enzymatic assay for HbA1c<br />

that is run on <strong>the</strong> Abbott ARCHITECT c8000 chemistry system (List #4P52). Using<br />

a whole blood sample, red blood cells are lysed and total hemoglobin is measured<br />

in <strong>the</strong> first step. Following protease digestion in <strong>the</strong> second step, a fructosyl-Val-<br />

His dipeptide from <strong>the</strong> N-terminus <strong>of</strong> <strong>the</strong> beta-chain <strong>of</strong> hemoglobin is released and<br />

provides a substrate for fructosyl peptide oxidase. This enzymatic method produces<br />

hydrogen peroxide which is <strong>the</strong>n measured using a colormetric reagent.<br />

Methods: Method comparisons were performed against <strong>the</strong> on-market Abbott<br />

ARCHITECT HbA1c on <strong>the</strong> i2000 immunoassay system (List #4P72) and <strong>the</strong><br />

Bio-Rad Variant II Turbo 2.0 ion-exchange HPLC using fresh whole blood patient<br />

samples as well as specimens with reference values assigned by NGSP. Additionally,<br />

heterozygous hemoglobin variants HbS, HbC, HbD, HbE, and HbF were assessed for<br />

potential interference using approximately 20 samples for each variant.<br />

Results: Method comparison <strong>of</strong> <strong>the</strong> ARCHITECT c8000 enzymatic assay (y) with<br />

124 patient samples across a range <strong>of</strong> 4.3 to 12.8 %HbA1c with <strong>the</strong> ARCHITECT<br />

i2000 immunoassay (x) showed a regression relationship <strong>of</strong> y=0.953-0.05 and<br />

R=0.984, while <strong>the</strong> comparison with <strong>the</strong> Bio-Rad Variant II Turbo HPLC assay (x)<br />

showed a regression relationship <strong>of</strong> y=1.006x-0.25 and R=0.9851. The set included<br />

60 samples which were in <strong>the</strong> clinically relevant diagnostic range 6.0 to 7.0 %HbA1c<br />

and sub-range analysis showed a mean bias <strong>of</strong> -0.3 %HbA1c relative to both<br />

immunoassay and HPLC. Although assay imprecision was not formally assessed, <strong>the</strong><br />

enzymatic assay performed better than <strong>the</strong> immunoassay which showed a standard<br />

error estimate <strong>of</strong> 0.05 between replicates for <strong>the</strong> enzymatic assay compared to 0.24<br />

for <strong>the</strong> immunoassay. Finally, hemoglobin variants HbS, HbC, HbD and HbE did not<br />

interfere with <strong>the</strong> enzymatic assay when compared to assigned values determined by<br />

<strong>the</strong> NGSP primary reference laboratory. The mean biases were -0.28, -0.45, -0.26, and<br />

-0.09 %HbA1c, respectively, across HbA1c concentrations from 4.1-13.5%. Samples<br />

containing HbF, however, showed significant negative interference when levels were<br />

>10% HbF.<br />

Conclusion: We have evaluated <strong>the</strong> performance <strong>of</strong> <strong>the</strong> next generation Abbott<br />

ARCHITECT enzymatic HbA1c assay on <strong>the</strong> c8000 chemistry system. This assay<br />

has excellent agreement with <strong>the</strong> Bio-Rad Variant II Turbo HPLC assay and has no<br />

significant interference from hemoglobin variants S, C, D, and E, while negative bias<br />

was observed in <strong>the</strong> presence <strong>of</strong> >10% HbF. Overall, <strong>the</strong> clinical chemistry HbA1c<br />

assay showed acceptable performance for clinical use and shows minimal interference<br />

from common hemoglobin variants.<br />

A-342<br />

Clinical Importance <strong>of</strong> “Bioavailable” Vitamin D: Development and<br />

analytical validation <strong>of</strong> Bioavailable 25Hydroxy Vitamin D assay<br />

R. Pandian, J. Pandian, A. N. Elias. Pan Laboratories, IRVINE, CA<br />

Objective:To develop a reproducible assay for quantitation <strong>of</strong> “bioavailable “ vitamin<br />

D (Bio D) in human serum samples.<br />

Relevance: Vitamin D deficiency is determined by measuring circulating 25 hydroxy<br />

Vitamin D (25(OH)D). Over 85 % <strong>of</strong> circulating 25(OH) D is tightly bound to a<br />

specific vitamin D binding protein (DBP). A lesser amount is bound loosely with<br />

albumin. Less than 1% is free Vitamin D (Free D). The free fraction along with<br />

<strong>the</strong> albumin bound fraction, called Bioavailable Vitamin D, is readily available for<br />

metabolic function.<br />

Recent studies indicate that bioavailable, and not total 25(OH) D, correlate well<br />

with serum calcium. There was poor correlation between 25(OH) D levels with bone<br />

mineral density in studies that examined this relationship. However, <strong>the</strong> correlation<br />

between Bio D and bone mineral density was good. Similarly, measurement <strong>of</strong> Bio D<br />

in hemodialysis patients showed better correlation in terms <strong>of</strong> mineral metabolism and<br />

PTH levels than total Vitamin D measurement. It is <strong>the</strong>refore important to measure<br />

Bio D in some <strong>of</strong> <strong>the</strong> clinical conditions associated with potential mineral metabolic<br />

changes.<br />

Methodology: Bioavailable 25(OH) D is vitamin D (25 OH) not bound to DBP. To<br />

obtain <strong>the</strong> bioavailable fraction, total vitamin D was quantitated using an immunoassay<br />

with equal cross reactivity with D2 and D3 (Calbiotech) . DBP was quantitated by an<br />

immunoassay using reagents from R & D systems. Albumin was quantitated by a<br />

calorimetric method. Using <strong>the</strong> affinity constant <strong>of</strong> 25(OH)D for DBP ( Ka = 7 X 10 8<br />

M -1 ) and albumin (Ka = 6 X10 5 M -1 ), Bio D, DBP bound 25(OH)D , albumin bound<br />

25(OH)D and free 25(OH)D were calculated . Bioavailable is <strong>the</strong> combination <strong>of</strong><br />

albumin bound 25(OH)D + free 25(OH)D.<br />

Results: The assays used in this study are 25(OH)D, DBP and albumin. All <strong>the</strong> assays<br />

are all very reproducible, individually and in combination, for calculations <strong>of</strong> Bio D<br />

with a CV <strong>of</strong> less than 13 %. Sensitivity, specificity, and interference studies met <strong>the</strong><br />

A104 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

acceptability criteria .All <strong>the</strong> three assays were run in normal samples and calculated<br />

Bioavailable vitamin D ( 3.87 ± 2.0 ng/ml ), calculated free D ( 9.94 ± 5.47 pg/ml )<br />

and DBP bound 25(OH)D ( 28.14 ± 15.2 ng/ml ). Correlation <strong>of</strong> Bio D with calculated<br />

free D in <strong>the</strong>se normal samples was good (r2 = 0.97) whereas correlation with Bio D<br />

with total 25(OH) D was poor (r 2 =0.366).<br />

Conclusion: We have developed a reproducible bioavailable 25( OH ) Vitamin D<br />

assay , useful for routine testing in a clinical lab . The availability <strong>of</strong> “Bioavailable<br />

“ vitamin D may be useful to elucidate accurately <strong>the</strong> nature <strong>of</strong> relationship between<br />

Vitamin D and wide range <strong>of</strong> disorders including fracture , infection, cancer and<br />

cardiovascular diseases .<br />

A-343<br />

Elevated hs-CRP correlates with o<strong>the</strong>r a<strong>the</strong>rosclerotic risk factors in<br />

young patients <strong>of</strong> type 1 Diabetes Mellitus<br />

objective <strong>of</strong> this study was to confirm <strong>the</strong> presence <strong>of</strong> hemoglobin variants in our<br />

patients: <strong>the</strong>y give a false HbA1c result which means a bad control <strong>of</strong> diabetes<br />

mellitus.<br />

Methods: In <strong>the</strong> routine HPLC assays (Bio-Rad Variant II Turbo 1.5 min. program),<br />

some samples were found to have an abnormal peak before <strong>the</strong> HbA0 peak. After<br />

checking <strong>the</strong> chromatogram, samples were tested by latex aglutination inmunoassay<br />

(DCA System, Siemens) and alternative HbA1c levels were determined. The α-globin<br />

gene was amplified by PCR and sequencing was performed on a ABI Prism 310<br />

sequencer.<br />

Results: Samples came from patients in <strong>the</strong> same family and a peak before HbA0 (P4)<br />

was observed in all <strong>of</strong> <strong>the</strong>m. Alternative results suggested <strong>the</strong> presence <strong>of</strong> abnormal<br />

Hb variant. In fact, a 15 % difference regarding previous results was observed. After<br />

sequencing, <strong>the</strong> presence <strong>of</strong> GCC>GAC mutation was described at codon 12 in <strong>the</strong><br />

first exon <strong>of</strong> Alfa-2 gene. This mutation determines alanine change for aspartic acid<br />

known as Hb J-Paris - I.<br />

N. G. CHAUDHARY, H. Sharma. GOVERNMENT MEDICAL COLLEGE,<br />

BHAVNAGAR, India<br />

Aims: The present research work is designed to study serum high sensitivity<br />

C-reactive protein (hs-CRP) as a marker <strong>of</strong> low grade inflammation and its association<br />

with lipid pr<strong>of</strong>ile for assessment <strong>of</strong> future risk <strong>of</strong> a<strong>the</strong>rosclerosis in pediatric and<br />

young patients with type 1 diabetes mellitus.<br />

Methods: In <strong>the</strong> present study, 60 Patients <strong>of</strong> known type 1 diabetes mellitus with<br />

mean duration <strong>of</strong> disease <strong>of</strong> 7.8 ± 2.8 year and 60 apparently healthy subjects were<br />

included and <strong>the</strong>ir body mass index (BMI), waist circumference and waist to hip ratio<br />

(WHR) were measured. Fasting blood samples were collected from each participant<br />

and analyzed for hs-CRP, blood glucose, HbA 1<br />

c, cholesterol, triglyceride, HDL and<br />

LDL. Statistical analysisi were carried out by applying student t test and pearson<br />

correlation test.<br />

Results: The levels <strong>of</strong> serum hs-CRP (p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

LC/MS/MS method on <strong>the</strong> Applied Biosystems API4000. Gender specific reference<br />

interval verification was performed on each <strong>of</strong> 20 apparently healthy male and female<br />

subjects. Standard statistical analyses were performed using EP Evaluator Release 7<br />

s<strong>of</strong>tware.<br />

Results: Imprecision (CV) <strong>of</strong> Abbott Low, Medium, and High controls at mean values<br />

<strong>of</strong> 0.3, 2.2, and 7.7 nmol/L equaled 5.6%, 3.8%, and 3.9%, respectively, and agreed<br />

with <strong>the</strong> manufacturer’s claimed precision. Bio-Rad controls at mean concentrations<br />

<strong>of</strong> 4.5, 17, and 40 nmol/L gave CVs <strong>of</strong> 3.5%, 2.9%, and 3.2%, respectively. The<br />

claimed functional sensitivity is ≤0.15 nmol/L which was verified at a concentration <strong>of</strong><br />

0.14 nmol/L with a CV <strong>of</strong> 6.9%. Linearity was achieved with a


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-349<br />

Development <strong>of</strong> a Well Characterized Ultra-sensitive Human Anti-<br />

Müllerian Hormone (AMH) ELISA.<br />

A. Kumar, B. Kalra, A. S. Patel, S. Shah. Ansh Labs, Webster, TX<br />

Objective: Development <strong>of</strong> a specific and sensitive human AMH ELISA for <strong>the</strong><br />

quantitative measurement <strong>of</strong> biologically active AMH in serum, plasma and follicular<br />

fluid.<br />

Relevance: AMH is a member <strong>of</strong> <strong>the</strong> transforming growth factor-β (TGF-β)<br />

superfamily responsible for <strong>the</strong> regression <strong>of</strong> Müllerian ducts in <strong>the</strong> male embryo. In<br />

female embryos, <strong>the</strong> Müllerian ducts give rise to <strong>the</strong> uterus, fallopian tubes, and upper<br />

part <strong>of</strong> <strong>the</strong> vagina. AMH is produced in small amounts by ovarian granulosa cells after<br />

birth until menopause, and <strong>the</strong>n becomes undetectable. In <strong>the</strong> adults, AMH also plays<br />

a role in Leydig cell differentiation and function and follicular development.<br />

Like o<strong>the</strong>r TGF-β superfamily members, AMH is produced as a large, 140-kDa<br />

homodimeric precursor linked by disulfide bridges. Cleavage at <strong>the</strong> monobasic site<br />

generates a 110-kDa N-terminal homodimer and a 25-kDa C-terminal homodimer,<br />

which remain associated in a non-covalent complex. Recent studies have shown that<br />

<strong>the</strong> AMH C-terminal homodimer is much less active than <strong>the</strong> non-covalent complex,<br />

but almost full activity can be restored by associating <strong>the</strong> N-terminal pro-region,<br />

which re-forms a complex with <strong>the</strong> mature C-terminal dimer. The finding suggests<br />

that <strong>the</strong> AMH non-covalent complex is <strong>the</strong> active form <strong>of</strong> protein.<br />

Methodology: We have developed a two-step, sandwich-type enzymatic microplate<br />

assay using highly characterized monoclonal antibody pair to measure human AMH<br />

levels in 25 μL <strong>of</strong> sample in less than 3.5 hours. The assay uses stabilized recombinant<br />

human AMH as calibrators (0.06-14 ng/mL). The assay measures <strong>the</strong> non-covalent<br />

complex <strong>of</strong> human AMH and does not detect inhibin A, inhibin B, activin A, activin<br />

B, activin AB, FSH, LH, TSH, α2M, progesterone, estradiol, prolactin, myostatin at<br />

two times <strong>the</strong>ir physiological concentrations.<br />

Validation: The Ultra-sensitive AMH ELISA, when compared to AMH Gen II assay<br />

using 90 serum samples in <strong>the</strong> range <strong>of</strong> 0.1-13 ng/mL, yielded a correlation coefficient<br />

<strong>of</strong> >0.98 and a slope <strong>of</strong> 1.10 with an intercept <strong>of</strong> 0.06 ng/mL. Forty matched Lithium<br />

heparin plasma and serum specimens in <strong>the</strong> range <strong>of</strong> 0.13-13.01 ng/mL yielded a<br />

correlation coefficient <strong>of</strong> >0.99 and a slope <strong>of</strong> 1.06 with an intercept <strong>of</strong> -0.1 ng/mL.<br />

Total imprecision calculated on three serum pools and two kit controls over 40 runs,<br />

two replicates per run, was 5.4% at 0.51 ng/mL, 5.7% at 0.71 ng/mL, 5.6% at 1.05 ng/<br />

mL and 5.5% at 1.1 ng/mL, 5.9% at 2.7 ng/mL, respectively. The functional sensitivity<br />

calculated at 20% CV was 0.023 ng/mL. Dilution and spiking studies showed average<br />

recoveries between 90-110%. When potential interferents (hemoglobin, triglycerides<br />

and bilirubin) were added at twice <strong>the</strong>ir physiological concentrations, AMH<br />

concentrations were within ±10% <strong>of</strong> <strong>the</strong> control.<br />

Conclusions: A highly sensitive, specific and reproducible AMH assay has been<br />

developed that measures <strong>the</strong> non-covalent complex <strong>of</strong> human AMH. The performance<br />

<strong>of</strong> <strong>the</strong> AMH assay is ideal for research involving neonatal gender determination,<br />

ovarian reserve assessment, premature ovarian failure (POF), primary ovarian<br />

insufficiency (POI), polycystic ovary syndrome (PCOS), peri-menopausal transition,<br />

testicular function, and monitoring <strong>of</strong> granulosa cell tumor <strong>the</strong>rapy.<br />

A-350<br />

Development <strong>of</strong> a Sensitive Inhibin B ELISA Optimized to Eliminate<br />

False Positive Results.<br />

A. Kumar, B. Kalra, A. S. Patel, S. Shah. Ansh Labs, Webster, TX<br />

Objective: Development <strong>of</strong> a sensitive Inhibin B ELISA for <strong>the</strong> quantitative<br />

measurement <strong>of</strong> inhibin B in serum, plasma and follicular fluid.<br />

Relevance: Inhibins are heterodimeric protein hormones secreted by granulosa cells<br />

<strong>of</strong> <strong>the</strong> ovary in <strong>the</strong> female and Sertoli cells <strong>of</strong> <strong>the</strong> testis in <strong>the</strong> male. The role <strong>of</strong> inhibin<br />

B in male factor and female infertility has been extensively published. In males<br />

inhibin B is a potential marker for spermatogenesis and testicular function. In females<br />

inhibin B is a useful tool for assessment <strong>of</strong> ovarian reserve, oocyte quality, and<br />

granulosa cell tumors. Early commercial Inhibin B assays required pre-treatment <strong>of</strong><br />

samples with an oxidation procedure, which allowed for full immunoreactivity. This<br />

important pre-treatment step minimized <strong>the</strong> risk <strong>of</strong> false positive results by removing<br />

binding proteins, deactivating proteases and catalases. However, <strong>the</strong>se original assays<br />

requiring overnight incubation were time-consuming and procedurally cumbersome<br />

for laboratories. A commercially available Inhibin B Gen II assay does not require<br />

oxidation.<br />

Methodology: We have developed a two-step, sandwich-type enzymatic microplate<br />

assay to measure inhibin B levels. This convenient assay utilizes oxidation and binding<br />

protein-releasing reagents that eliminate potential false positive results. Results are<br />

generated in less than 3.5 hours with excellent precision. The assay measures inhibin<br />

B in 50 μL <strong>of</strong> serum or Li-Hep plasma samples. The assay uses human inhibin B<br />

calibrators (10-1200 pg/mL). The highly characterized dual monoclonal antibody<br />

pair is specific to inhibin B and does not detect inhibin A, activin A, activin B,<br />

activin AB, AMH, FSH, LH, follistatin 288 and 315 at two times <strong>the</strong>ir physiological<br />

concentrations.<br />

Validation: The Ansh Labs Inhibin B ELISA assay was compared against two<br />

commercially available assays using 97 random male and female samples. The<br />

assay showed significant positive linear correlations to <strong>the</strong> Inhibin B Gen II assay<br />

and <strong>the</strong> AnshLite Inhibin B CLIA assay (r=0.97; P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

limits <strong>of</strong> +5.0% and ≤10.0%, respectively, after four consecutive challenges. Assays<br />

are evaluated based on total 25-hydroxyvitamin D, which is defined as <strong>the</strong> sum <strong>of</strong><br />

25-hydroxyvitamin D2 and 25-hydroxyvitamin D3.<br />

Results: Currently <strong>the</strong>re are 15 participants enrolled in various stages <strong>of</strong> <strong>the</strong> program,<br />

including clinical laboratories, academic institutes, and immunoassay manufactures.<br />

To date, two quarters have been completed.<br />

A-352<br />

Hemoglobin variant integration method for HbA1c analysis by HPLC<br />

S. K. Tanaka. Bio-Rad Laboratories, Hercules, CA<br />

Background: Improved precision and accuracy for HbA 1c<br />

testing in <strong>the</strong> presence<br />

<strong>of</strong> <strong>the</strong> most common hemoglobin variants (E, D, S, and C) is needed to meet <strong>the</strong><br />

tightening criteria from NGSP and external quality assessment programs. A new<br />

integration approach separates HbA 0<br />

from HbA 2<br />

, and improves precision and<br />

accuracy for HbAE, HbAD, HbAS, and HbAC sample types.<br />

Methods: Previous hemoglobin variant HbA 1c<br />

analysis method included HbA 0<br />

and<br />

HbA 2<br />

in <strong>the</strong> total area and %HbA 1c<br />

calculation. The new analysis method applies an<br />

HbA 0<br />

peak fit to all samples, and excludes all post HbA 0<br />

area.<br />

Verification <strong>of</strong> <strong>the</strong> improved integration method on <strong>the</strong> Variant II TURBO 2.0 method<br />

was performed in <strong>the</strong> following manner: (1) Variant patient samples previously<br />

analyzed by an NGSP reference laboratory were tested using <strong>the</strong> test integration<br />

method. Criteria <strong>of</strong> ±7% <strong>of</strong> true value was used to assess clinically significant<br />

interference. Test and reference methods were correlated to determine bias at 6.5%<br />

and 8.5% by linear regression analysis. (2) A dose-response interference study per<br />

CLSI guideline EP-7A2 was conducted for each variant at <strong>the</strong> clinically significant<br />

HbA 1c<br />

values <strong>of</strong> 6.5% and 8.5%. Homozygous variant patient samples were spiked<br />

into a non-variant patient sample pools.<br />

A-353<br />

Evaluating serum vitamin D levels in elderly patients with subclinical<br />

hypothyroidism<br />

F. Ucar 1 , G. Ozturk 1 , Z. Ginis 1 , G. Erden 1 , M. Y. Taslıpınar 1 , A. E. Arzuhal 1 ,<br />

T. Delibası 2 . 1 Diskapi Yildirim Beyazit Training and Research Hospital,<br />

Department <strong>of</strong> Clinical Biochemistry, Ankara, Turkey, 2 Diskapi Yildirim<br />

Beyazit Training and Research Hospital, Department <strong>of</strong> Endocrinology<br />

and Metabolism, Ankara, Turkey<br />

Background: Vitamin D is <strong>the</strong> principal regulator <strong>of</strong> calcium homeostasis and also<br />

known as an immune modulator hormone. It has been recently shown that vitamin D<br />

deficiency is associated with various diseases such as cardiovascular disease, cancer,<br />

osteoporosis and autoimmune diseases. Increasing researches have indicated <strong>the</strong><br />

relation between serum vitamin D level and several autoimmune diseases regarding<br />

to important roles <strong>of</strong> this hormone in immune regulation. However <strong>the</strong> role <strong>of</strong> vitamin<br />

D in <strong>the</strong> etiopathogenesis <strong>of</strong> <strong>the</strong>se diseases is also not well understood. As similar<br />

<strong>the</strong> detailed mechanism <strong>of</strong> vitamin D action on thyroid hormone metabolism and<br />

autoimmune thyroid diseases is still poorly understood. It was reported more recently<br />

that patients with autoimmune thyroid disease had lower vitamin D<br />

levels. However, <strong>the</strong>re are few studies examining vitamin D status in elderly patients<br />

with subclinical hypothyroidism. We <strong>the</strong>refore aimed to investigate vitamin D levels<br />

in elderly patients with subclinical hypothyroidism.<br />

Methods: In <strong>the</strong> present study, a total <strong>of</strong> 37 patients (>70 years old) with subclinical<br />

hypothyroidism and 40 healthy controls (>70 years old) were retrospectively analyzed.<br />

Serum free triiodothyronine (fT3), free thyroxine (fT4) and thyrotrophic hormone<br />

(TSH) were analyzed by chemiluminescence immunoassay (Centaur XP, Siemens<br />

Healthcare Diagnostics Inc., Tarrytown, USA). Serum levels <strong>of</strong> 25-Hydoxy vitamin D<br />

(25-OH D) were measured by chemiluminescence immunoassay (DiaSorin,Liaison,<br />

Italy). Serum anti thyroid peroxidase (anti-TPO) and anti thyroglobulin (anti-<br />

TG) were measured by using a solid-phase, enzyme-labeled, chemiluminenescent<br />

sequential immunometric assay (Immulite 2000 XPi, Siemens Healthcare Diagnostics<br />

Inc., Tarrytown, USA).<br />

Results: There was no significant difference between groups in terms <strong>of</strong> age and<br />

gender distribution. Serum TSH, anti-TPO and anti-TG levels in elderly patients with<br />

subclinical hypothyroidism showed expected higher values than healthy controls.<br />

Serum 25-OH D levels in elderly patients with subclinical hypothyroidism were lower<br />

than healthy controls (p< 0.001).<br />

Conclusions: These data confirm <strong>the</strong> association between serum 25-OH D levels and<br />

subclinical hypothyroidism in elderly patients. Vitamin D insufficiency is associated<br />

with subclinical hypothyroidism in elderly patients. Fur<strong>the</strong>r studies are needed to<br />

determine whe<strong>the</strong>r vitamin D insufficiency is a casual factor in <strong>the</strong> etiopathogenesis <strong>of</strong><br />

subclinical hypothyroidism in elderly patients or ra<strong>the</strong>r a consequence <strong>of</strong> <strong>the</strong> disease.<br />

A-354<br />

Serum levels <strong>of</strong> matrix metalloproteinases(MMP-2, MMP-9), tissue inhibitors<br />

<strong>of</strong> metalloproteinases(TIMP-1, TIMP-2) in type 2 diabetic patients with<br />

microvascular complications<br />

H. Erman 1 , R. Gelisgen 2 , Ö. Tabak 3 , H. Uzun 2 . 1 Kafkas university Kafkas<br />

medical faculty Department <strong>of</strong> Medical Biochemistry, kars, Turkey,<br />

2<br />

Istanbul university Cerrahpasa medical faculty Department <strong>of</strong> Medical<br />

Biochemistry, Istanbul, Turkey, 3 Istanbul Education and Research Hospital,<br />

Internal Medicine Clinic, Istanbul, Turkey<br />

Conclusion: HbA 1c<br />

analysis for most commonly occurring hemoglobin variant<br />

sample types using <strong>the</strong> HbA 0<br />

peak fit integration method produced HbA1c results that<br />

are: (1) within 5% <strong>of</strong> <strong>the</strong> NGSP secondary reference laboratory results at 6.5% and<br />

8.5% A1c based upon regression analysis <strong>of</strong> patient sample correlation. (2) within 7%<br />

<strong>of</strong> reference values at normally occurring levels <strong>of</strong> heterozygous variant hemoglobins<br />

(approximately 28% for HbE and 40% for HbD, S, and C) following <strong>the</strong> CLSI EP-<br />

7A2 dose response protocol.<br />

Background:ECM is a dynamic structure that requires constant syn<strong>the</strong>sis and<br />

degradation by matrix metalloproteinases (MMPs) and this is tightly controlled by<br />

tissue inhibitors <strong>of</strong> matrix metalloproteinases (TIMPs). Disturbances <strong>of</strong> physiological<br />

balance between MMPs and TIMPs seem to play an important role in <strong>the</strong> development<br />

and progression <strong>of</strong> diabetic microangiopathy. In this study, we aimed to measure <strong>the</strong><br />

plasma levels <strong>of</strong> MMP-2, MMP-9 an <strong>the</strong>ir specific tissue inhibitors TIMP-1 and<br />

TIMP-2 in type 2 diabetic patients with microvascular complications and without<br />

complications and patients with early stage nephropathy and in healthy subjects,.<br />

Methods:We studied 65 patients with type 2 diabetes and 25 healthy subjects as<br />

control. Type 2 diabetic patients were divided into two groups as with microvascular<br />

complications (n:40) and without complications (n:25). We formed a subgroup <strong>of</strong><br />

patients with diabetic nephropathy(n:19) from <strong>the</strong> group <strong>of</strong> patients with microvascular<br />

complications. Plasma levels <strong>of</strong> MMP-2, MMP-9, TIMP-1, TIMP-2 were determined<br />

using immunoenzymatic assays.<br />

A108 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results:MMP-2, MMP-9, TIMP-1,TIMP-2 plasma levels were found significantly<br />

higher in tip 2 diabetic patients(p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Endocrinology/Hormones<br />

aged up to 8 years and 9 years boys). We determined serum levels <strong>of</strong> LH in basal and<br />

GnRH-stimulated by Chemiluminescence (Centaur XP) in 846 girls (367 children<br />

under 8 years) and 129 boys (25 below 9 years), as requested <strong>the</strong>ir own doctors.<br />

Results: Based on retrospective evaluation <strong>of</strong> <strong>the</strong> results <strong>of</strong> <strong>the</strong>se tests, 104 girls aged<br />

up to 8 years tested positive for precocious puberty and 06 boys with age until 9 years<br />

also showed puberty levels <strong>of</strong> LH after stimulation. This study demonstrated that basal<br />

LH levels above 0.42 mIU / mL in girls showed 54.3% sensitivity, 90.3% specificity<br />

and 79.6% accuracy for <strong>the</strong> diagnosis <strong>of</strong> gonadal axis activation (true puberty) . In<br />

boys, basal LH levels above 0.69 mIU / mL has 80% sensitivity, 96.3% specificity and<br />

91.9% accuracy for <strong>the</strong> diagnosis <strong>of</strong> true precocious puberty.<br />

Conclusion: Basal LH levels above 0.42 mIU/mL for girls and 0.69 mIU/mL in<br />

boys are indicative <strong>of</strong> activation <strong>of</strong> <strong>the</strong> gonadotropic axis and may, in <strong>the</strong> presence<br />

<strong>of</strong> clinical signs (age and Tanner), corroborate to confirm diagnosis and indicate<br />

<strong>the</strong> begin <strong>of</strong> <strong>the</strong>rapy for true precocious puberty, without <strong>the</strong> need <strong>of</strong> intravenous<br />

administration <strong>of</strong> a GnRH agonist and performing a multiple sample hormone curve.<br />

A-359<br />

Role <strong>of</strong> Transthyretin (TTR) in balancing cell renewal and energy<br />

metabolism - applying a holistic view.<br />

T. M. Pettersson 1 , C. Lowbeer 2 . 1 LeanLabMed, Stockholm, Sweden, 2 Aleris<br />

Medilab, Stockholm, Sweden<br />

Background - Approach: Transthyretin (previous pre-albumin until 1985) is<br />

extensively studied and associated with several functions <strong>the</strong> major two related to<br />

binding <strong>of</strong> thyroid pro-hormone thyroxine (T4) and holo- /apo- Retinol Binding<br />

Protein (RBP4). Null mutated mice indicate TTR redundancy with very limited<br />

phenotype impact. This overview <strong>of</strong> observed multiple TTR relationships intends<br />

re-evaluation <strong>of</strong> TTR role as to multi-functionality as well as common function in<br />

metabolism.<br />

Methods - Summarizing relationships: Four major sites <strong>of</strong> TTR syn<strong>the</strong>sis are<br />

considered, that in <strong>the</strong> liver, plexus choroideus, alpha cells in pancreas and retinal<br />

pigment epi<strong>the</strong>lium as well as ciliar epi<strong>the</strong>lial cells in <strong>the</strong> eye. The hormone binding<br />

in relation to that <strong>of</strong> <strong>the</strong> competing binding proteins Albumin, TBG and HDL is reevaluated<br />

as well as <strong>the</strong> significance <strong>of</strong> TTR heterogeneity and dynamics regarding<br />

tetramer stability and conditions for dissociation into dimers and monomers in vivo.<br />

Variation in role in relation to compartmentalized functions in combination with<br />

mechanistic aspects <strong>of</strong> TTR amyloid formation as well as tissue localization <strong>of</strong> TTR<br />

amyloid is recognized. Possible roles <strong>of</strong> TTR in neuro-transmittor related functions<br />

(Glu, Gly, monoamines, NO) are included as well as considerations <strong>of</strong> specific<br />

metabolic role <strong>of</strong> <strong>the</strong> RBP4-vitamin A complex. The relevance <strong>of</strong> tissue variation<br />

in Basal Metabolic Rate and oxygen consumption/extraction at rest and activity is<br />

considered including aspects related to cell proliferation and death. Considerations<br />

<strong>of</strong> related plasma membrane transporting functions, pro-hormone activation/<br />

deactivation (T4, T3, rT3, T2), intra cellular/nuclear signalling and crosstalk are<br />

notified. Aspects <strong>of</strong> TTR evolution are considered as well as comparison <strong>of</strong> perceived<br />

TTR role in thyroid hormone metabolism with that <strong>of</strong> <strong>the</strong> major binding protein <strong>of</strong><br />

Vitamin D with respect to vitamin/hormone bio-availability and co-operativity <strong>of</strong><br />

signalling ligands at <strong>the</strong> nuclear level.<br />

Result and Conclusions: In plasma <strong>the</strong> free fraction <strong>of</strong> pro-hormone T4 (FT4) is<br />

under strong regulation supporting <strong>the</strong> hypo<strong>the</strong>sis <strong>of</strong> free hormone bio-availability.<br />

No lack <strong>of</strong> TTR is observed in man and <strong>the</strong> fraction <strong>of</strong> TTRT4 in plasma is<br />

under physiological conditions significant and controlled. Acidic pH and plasma<br />

components in combination dissociate TTR into monomers indicating possible<br />

interstitial mechanism at acidic pH gradients (6 - 5) regulating FT4 availability<br />

involving TTRT4. TTR <strong>the</strong>refore provides regulatory mechanisms <strong>of</strong> pull system<br />

design introducing beneficial elasticity in relation to tissue need <strong>of</strong> thyroid hormone<br />

in basal/activity induced metabolism and growth promotion but at <strong>the</strong> risk <strong>of</strong> amyloid<br />

formation and thyreotoxic cell death in conditions <strong>of</strong> oxygen sensitivity and disruptive<br />

metabolism such as gluco- or lipotoxicity in Type-2-Diabetes. Suggested model<br />

indicates that TSH and FT4 plasma measurements - presently <strong>the</strong> in vitro thyroid<br />

diagnostic standards - may be appropriate in estimating thyroid gland functionality but<br />

not variation in thyroid hormone effect on peripheral tissues at cellular level. Fur<strong>the</strong>r<br />

aspects on multiplicity <strong>of</strong> TTR functionality are outlined and support integrative role<br />

<strong>of</strong> <strong>the</strong> protein.<br />

A-360<br />

Müllerian Inhibiting Substance and Sex Hormone Levels in Attention-<br />

Deficit/Hyperactivity Disorder<br />

A. B. Erbagci, C. Gökcen, M. Orkmez, N. Aksoy, A. Karayagmurlu.<br />

University <strong>of</strong> Gaziantep, Gaziantep, Turkey<br />

Background: Testicular Müllerian inhibiting substance (MIS) is involved in <strong>the</strong><br />

regression <strong>of</strong> <strong>the</strong> Müllerian ducts in male embryos during <strong>the</strong> first trimester <strong>of</strong><br />

pregnancy. However, plasma concentration <strong>of</strong> MIS is continued at high levels until<br />

puberty. MIS receptor typeII (MISRII), a MIS-dependent signaling pathway in <strong>the</strong><br />

brain inducing neuroserpin expression, and MIS dependent sexual dimorphic behavior<br />

have been shown in rats. Neuroserpin and MIS are suggested to protect neurons against<br />

glutamate N-methyl-D-aspartate (NMDA) receptor mediated excitotoxicity in vivo.<br />

Attention-deficit/hyperactivity disorder (ADHD) is a complex neurodevelopmental<br />

disorder with a strong gender bias, considering frequency, psychiatric, cognitive,<br />

and functional impairment, and risk for co morbid major depression favoring boys.<br />

In addition to dopaminergic and norepinephrinergic pathways excessive glutamate<br />

stimulation <strong>of</strong> <strong>the</strong> prefrontal cortex is suggested to contribute clinical manifestations<br />

<strong>of</strong> ADHD. A fairly new drug for ADHD treatment; Atomoxetine also antagonizes<br />

NMDA receptors. In this study we aimed to investigate possible effect <strong>of</strong> MIS and<br />

sex hormone levels in ADHD.<br />

Methods: Present study included 49 boys with ADHD at <strong>the</strong> time <strong>of</strong> first diagnosis<br />

and 30 healthy age matched boys as <strong>the</strong> control group (min-max age: 5-9 years). 36 <strong>of</strong><br />

<strong>the</strong> patient group were re-evaluated after 30 days’ methylphenidate treatment. ADHD<br />

diagnosis was assessed using <strong>the</strong> schedule for affective disorders and Schizophrenia<br />

for school age children. Conners parent and teacher rating scales were assesed at <strong>the</strong><br />

first visit and <strong>the</strong> 1st month <strong>of</strong> treatment. AMH levels were analyzed by Beckman<br />

Coulter ® AMH Gen II ELISA reagents, serum testosterone, estradiol, and albumin<br />

concentrations were assessed by Abbott reagents and sex hormone binding globulin<br />

(SHBG) levels by Immulite reagents according to <strong>the</strong> manufacturers’ instructions.<br />

Serum samples were concentrated before testosterone and estradiol analyses.<br />

Results: Patients with ADHD had lower SHBG and estradiol levels (p


Endocrinology/Hormones<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Methods: The study was performed in sera from 51 multiple myeloma patients<br />

with high immunoglobulin levels from 20 control healthy subjects with normal<br />

immunoglobulin levels. Biochemical measurements were performed with Roche<br />

Elecsys 2010 immunochemistry apparatus using electrochemiluminescence method.<br />

Following initial TSH measurements, immunoglobulins were precipitated using PEG<br />

6000. PEG solution prepared as 20% were mixed with serum samples in a ratio <strong>of</strong> ½<br />

and vortexed. Following centrifuge for 5 min at 10000 g, supernatants were collected<br />

and used for repeat TSH measurements. Results were multiplied by 2.<br />

Results: There were statistically significant reductions in measured TSH values<br />

(repeat) following PEG precipitation in sera from both groups compared to initial<br />

values; mean serum TSH levels before and after PEG precipitation were 2.20 ±<br />

1.48 vs. 1.31 ± 0.78 μIU/ml, around 41% (p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

A-364<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Clinical Studies/Outcomes<br />

Evaluation <strong>of</strong> Critical Laboratory Result Reporting Processes<br />

J. H. Noguez 1 , R. J. Molinaro 1 , S. E. Melanson 2 , W. J. Lane 2 , C. Schmotzer 3 ,<br />

C. R. Fantz 1 . 1 Emory University, Atlanta, GA, 2 Brigham and Women’s<br />

Hospital, Boston, MA, 3 Case Western Reserve University and University<br />

Hospitals Case Medical Center, Cleveland, OH<br />

Background: The timeliness <strong>of</strong> reporting critical values is vital to patient safety.<br />

Laboratories are required by regulatory agencies to communicate critical laboratory<br />

results to providers; however, <strong>the</strong> effectiveness and institutional variation <strong>of</strong> <strong>the</strong>se<br />

notification practices is not well understood. The objective <strong>of</strong> this study was to<br />

evaluate <strong>the</strong> critical result reporting processes <strong>of</strong> three academic medical centers <strong>of</strong><br />

similar size and patient complexity.<br />

Method: We first studied <strong>the</strong> time difference in <strong>the</strong> reporting <strong>of</strong> critical results and noncritical<br />

results by abstracting <strong>the</strong> data from each institution’s laboratory information<br />

system for 3 tests that are run in different sections <strong>of</strong> <strong>the</strong> clinical laboratory [chemistry<br />

(potassium), immunoassay (troponin), hematology (platelets)]. The time from when<br />

<strong>the</strong> result was ready on <strong>the</strong> instrument to its release into <strong>the</strong> electronic medical record<br />

was measured. Second, we benchmarked treatment intervention times based on <strong>the</strong><br />

availability <strong>of</strong> a critical low potassium result by measuring <strong>the</strong> elapsed time from<br />

when <strong>the</strong> critical result was reported to when an order for potassium supplementation<br />

was placed.<br />

Results: Critical results were found to be released 3X-20X slower than non-critical<br />

results. Institutions that documented contact with a provider before releasing a critical<br />

result into <strong>the</strong> medical record were found to have results available in <strong>the</strong> medical<br />

record 2-3X faster for potassium, 5X faster for troponin, and 2X faster for platelets<br />

than <strong>the</strong> institution that did not. In one institution it was found that <strong>the</strong> median time<br />

to intervention for a critically low potassium level was 23 minutes for <strong>the</strong> emergency<br />

department, 31 minutes for <strong>the</strong> intensive care units, 14 minutes for <strong>the</strong> general<br />

medicine units and 9.5 minutes for <strong>the</strong> surgical units.<br />

Conclusions: Our data revealed that in all three medical centers <strong>the</strong> critical results<br />

took longer to report in comparison to non-critical results. Fur<strong>the</strong>rmore, intervention<br />

orders were initiated shortly after <strong>the</strong> result was released, emphasizing that medical<br />

decisions/interventions are prompted by laboratory alerts. While calling critical results<br />

is intended to ensure that necessary interventions will not be delayed for <strong>the</strong> safety <strong>of</strong><br />

<strong>the</strong> patient, our current reporting practices may actually be delaying <strong>the</strong>ir treatment.<br />

This is this first report to benchmark a relationship between laboratory critical value<br />

communications and treatment interventions.<br />

A-365<br />

Use <strong>of</strong> urinary Neutrophil Gelatinase-Associated Lipocalin (NGAL) in<br />

<strong>the</strong> diagnosis <strong>of</strong> Acute Kidney Injury (AKI) among stroke patients. Is<br />

it time to rethink our diagnostic criteria for AKI?<br />

K. Makris 1 , K. Koniari 2 , E. Gialouri 2 , M. Koursopoulou 1 , L. Spanou 1 , O.<br />

Glezakou 2 . 1 Clinical Biochemistry Department, KAT General Hospital,<br />

Kifi ssia, A<strong>the</strong>ns, Greece, A<strong>the</strong>ns, Greece, 2 Internal Medicine Department,<br />

KAT General Hospital, Kifi ssia, A<strong>the</strong>ns, Greece, A<strong>the</strong>ns, Greece<br />

Background: Acute kidney injury (AKI) is a common complication following acute<br />

stroke (AS). However its diagnosis is hampered by <strong>the</strong> absence <strong>of</strong> specific biomarkers<br />

in <strong>the</strong> currently used diagnostic criteria which are based on serum creatinine (sCrea)<br />

changes and urinary output. Recently urinary neutrophil gelatinase-associated<br />

lipocalin (uNGAL) has been proposed as an early biomarker for <strong>the</strong> detection <strong>of</strong><br />

tubular damage and a recent meta-anlaysis found that urinary levels >150ng/mL are<br />

indicative <strong>of</strong> AKI. The utility <strong>of</strong> uNGAL for <strong>the</strong> early detection <strong>of</strong> AKI was evaluated<br />

in a prospective study <strong>of</strong> 98 adults with AS. We also studied <strong>the</strong> effect <strong>of</strong> AKI on<br />

mortality and severity <strong>of</strong> stroke.<br />

Methods: sCrea and uNGAL were measrued upon admission and at 24, 48 and 72<br />

hours <strong>the</strong>reafter, with a final measurement on day-7. Stroke severity was measured<br />

at <strong>the</strong> time <strong>of</strong> admission with <strong>the</strong> Scandinavian Stroke Scale (SSS). Functional<br />

outcome was measured with <strong>the</strong> modified Rankin scale (mRS) on day-7. Patients<br />

categorized into 3 severity groups according to mRS score: mild (mRS-score 0-2),<br />

moderate (mRS-score 3-4) and severe (mRS-score 5-6). AKI was defined using <strong>the</strong><br />

AKIN (Acute Kidney Injury Network) criteria (an absolute increase in sCrea above<br />

baseline <strong>of</strong> at least 0.3 mg/dL or a percentage increase <strong>of</strong> at least 50%) plus uNGAL<br />

levels >150 ng/mL. sCrea was determined with <strong>the</strong> Jaffe reaction on Architectci8000<br />

analyzer (Abbott Laboratories, Il.) and uNGAL was measured with an ELISA<br />

(Bioporto Gent<strong>of</strong>te, Denmark)<br />

Results: The mean age (SD) <strong>of</strong> <strong>the</strong> patients was 75.2(9.4) years. Forty-two patients<br />

(42.86%) died during a follow-up period <strong>of</strong> 1 year. The mean time (SD) between <strong>the</strong><br />

onset <strong>of</strong> neurological symptoms and hospital admission was 3.22(1.58) hours. AKI<br />

was diagnosed in 24(24.49%) patients. Using <strong>the</strong> AKIN criteria we diagnosed 19 cases<br />

that developed AKI during hospitalization. uNGAL was diagnostic <strong>of</strong> AKI within 24<br />

hours from admission (mean increase from 86.69 to 182.06ng/mL, p


Clinical Studies/Outcomes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results α-amino-n-butyric acid predicted <strong>the</strong> <strong>the</strong>rapeutic response to SSRI. This<br />

result was conserved after <strong>the</strong> multivariable analysis with clinical factors (p = 0.019;<br />

odds ratio (OR), 1.12; 95% confidence interval (CI), 1.02-1.23). Arginine (p = 0.039),<br />

asparagine (p = 0.017), and cysteine (p = 0.039) were differentially expressed between<br />

pre- and post-treatment specimens <strong>of</strong> patients with MDD. Especially, glutamic acid<br />

was showed <strong>the</strong> significant change between pre- and post-treatment specimens only in<br />

response group (p = 0.045). In comparison between pre-treatment patients and healthy<br />

individuals, L-alanine (p = 0.043), β-alanine (p = 0.024), γ-aminobutyric acid (p =<br />

0.050), β-aminoisobutyric acid (p < 0.001), cystathionine (p < 0.001), glutamic acid<br />

(p = 0.047), homocysteine (p < 0.001), methionine (p = 0.004), O-phospho-L-serine<br />

(p < 0.001), and sarcosine (p < 0.001) were differentially expressed.<br />

Conclusion We identified differentially expressed amino acids, especially relating to<br />

<strong>the</strong> glutamic acid and sulfur-containing amino acid pathways, between pre-treatment<br />

patients with MDD, and ei<strong>the</strong>r healthy individuals or patients after treatment. Our<br />

findings also showed <strong>the</strong> possibility <strong>of</strong> plasma amino acids as potential predictive<br />

biomarkers for SSRI response and warrant fur<strong>the</strong>r validation studies.<br />

Acknowledgements<br />

This study was supported by a grant <strong>of</strong> <strong>the</strong> Korean Health Technology R&D Project,<br />

Ministry <strong>of</strong> Health & Welfare, Republic <strong>of</strong> Korea (A110339).<br />

A-367<br />

Clinical Laboratory Testing Patterns in Kampala, Uganda: Test<br />

Volumes, Test Menus, and Alignment with Disease Burden<br />

L. F. Schroeder 1 , A. Elbireer 2 , T. Amukele 3 . 1 Department <strong>of</strong> Pathology,<br />

Stanford University School <strong>of</strong> Medicine, Stanford, CA, 2 Johns Hopkins<br />

University Clinical Core Laboratory at Infectious Diseases Institute,<br />

Makerere University, Kampala, Uganda, 3 Department <strong>of</strong> Pathology, Johns<br />

Hopkins University School <strong>of</strong> Medicine, Baltimore, MD<br />

Background: The most basic information about laboratories in sub-Saharan Africa<br />

(SSA) such as <strong>the</strong>ir number, quality, and testing volumes are unknown. We created<br />

a practical method for obtaining this information in SSA towns and cities. Here we<br />

present some results <strong>of</strong> our initial city-wide survey <strong>of</strong> clinical laboratories in Kampala,<br />

Uganda.<br />

Methods: Kampala city (population 1.7 million) was divided into 5 partiallyoverlapping<br />

regions. Each region was assigned to 2-3 surveyors who identified and<br />

surveyed laboratories in <strong>the</strong>ir respective regions; in person and on foot. A modified<br />

version <strong>of</strong> <strong>the</strong> WHO/AFRO Laboratory Streng<strong>the</strong>ning Checklist was used to obtain<br />

baseline measures <strong>of</strong> quality for all clinical laboratories within Kampala. The checklist<br />

consisted <strong>of</strong> 80 ‘yes’/’no’ questions covering all levels <strong>of</strong> <strong>the</strong> laboratory process and<br />

ultimately translated into a 0- to 5-star scale <strong>of</strong> quality. The surveyors also measured<br />

o<strong>the</strong>r attributes such as test menu and self-reported testing volume.<br />

Results: A total <strong>of</strong> 954 laboratories were identified and surveyed in Kampala, with an<br />

overall daily testing volume <strong>of</strong> 13134 tests or an average <strong>of</strong> 14.9 tests per laboratory<br />

per day. The vast majority <strong>of</strong> laboratories (n=909) did not meet <strong>the</strong> lowest quality<br />

standards defined by <strong>the</strong> WHO/AFRO-derived laboratory streng<strong>the</strong>ning tool (i.e. <strong>the</strong>y<br />

achieved zero stars). These 909 zero star laboratories accounted for roughly half <strong>of</strong><br />

daily testing volume. When limiting analysis to <strong>the</strong> 20% <strong>of</strong> laboratories accounting<br />

for 80% <strong>of</strong> volume, <strong>the</strong> most commonly <strong>of</strong>fered tests in order <strong>of</strong> decreasing frequency<br />

were HIV, syphilis, urinalysis, typhoid, hCG, stool analysis, blood smear, brucellosis,<br />

glucose, ABORh, malaria, hemoglobin, tuberculosis, CBC, viral hepatitis, and H.<br />

pylori.<br />

Conclusions: The active survey method used in this study identified twice as many<br />

laboratories as were previously registered in <strong>the</strong> Ministry <strong>of</strong> Health. Laboratories<br />

per capita in Kampala are commensurate with levels in <strong>the</strong> United States (1781 vs<br />

1337 people per laboratory) with estimated annual testing volumes per capita ~10<br />

times lower in Kampala (2 vs 22 tests per person per year). However, according to<br />

World Bank estimates, Uganda spends nearly 200 times less on health care per person<br />

than does <strong>the</strong> United States ($46 vs $8362). In this light, <strong>the</strong> people <strong>of</strong> Kampala are<br />

investing relatively heavily in laboratory medicine. The Institute for Health Care<br />

Metrics estimates that in those over 5 years <strong>of</strong> age in Eastern Africa, mortality due<br />

to NCDs (cardiovascular disease, diabetes mellitus, cancer, and chronic respiratory<br />

disease) is nearly two-thirds that <strong>of</strong> infectious disease. Aside from glucose testing and<br />

urinalysis, <strong>the</strong> tests most <strong>of</strong>ten <strong>of</strong>fered focused on infectious disease.<br />

This comprehensive evaluation <strong>of</strong> <strong>the</strong> number, scope, and quality <strong>of</strong> clinical<br />

laboratories in Kampala is <strong>the</strong> first published survey <strong>of</strong> its kind in sub-Saharan Africa.<br />

A key finding from this study is that significant laboratory testing is taking place in<br />

Kampala, but it is possibly misaligned from <strong>the</strong> burden <strong>of</strong> disease and is likely <strong>of</strong><br />

low quality.<br />

A-368<br />

Magnesium balance in patients with long term Proton Pump<br />

Inhibitor(PPI) <strong>the</strong>rapy<br />

S. CHAKRABORTY 1 , C. BHATTACHARYA 2 . 1<br />

Dept. <strong>of</strong><br />

Biochemistry,PEERLESS HOSPITAL & B K ROY RESEARCH CENTRE,<br />

KOLKATA, India, 2 Dept. <strong>of</strong> Medicine,PEERLESS HOSPITAL & B K ROY<br />

RESEARCH CENTRE, KOLKATA, India<br />

Background: Proton Pump Inhibitors (Omeprezole, Lansopresole, Rabeprezole,<br />

Pantoprezole etc.) are a group <strong>of</strong> very commonly used medications used for gastric<br />

acid suppression. Globally <strong>the</strong>ir use has increased many folds over <strong>the</strong> last decade.<br />

Recently <strong>the</strong> US-FDA has issued a warning regarding <strong>the</strong> risk <strong>of</strong> hypomagnesemia<br />

in patients receiving long term PPI <strong>the</strong>rapy. The risk is even higher in patients with<br />

concomitant diuretics, patients with diabetes and early CKD. This black box warning<br />

<strong>of</strong> USFDA is due to a number <strong>of</strong> case reports and some case series which have been<br />

published. It has been suggested that PPI’s cause hypomagnesemia possibly as a<br />

result <strong>of</strong> decreased intestinal absorption. Unfortunately till date very few studies have<br />

been conducted to evaluate <strong>the</strong> influence <strong>of</strong> long tern PPI <strong>the</strong>rapy on <strong>the</strong> magnesium<br />

homeostasis. Thus this study was conducted with <strong>the</strong> objective <strong>of</strong> evaluating <strong>the</strong> renal<br />

handling <strong>of</strong> magnesium in such patients and also to compare <strong>the</strong> serum magnesium<br />

levels <strong>of</strong> such patients with <strong>the</strong> normal population.<br />

Methods: The study was designed as a case control study consisting <strong>of</strong> adult patients<br />

on long term PPI <strong>the</strong>rapy (more than 1 year) and age and sex matched healthy controls<br />

not on any medication. Patients on PPI’s with diabetes, chronic kidney disease or<br />

on diuretics were excluded. Serum Magnesium and Urinary Fractional Excretion<br />

<strong>of</strong> magnesium (FE-Mg) were measured using an automated clinical chemistry<br />

autoanalyser in both <strong>the</strong>se groups. Study was conducted for one year followed by<br />

statistical analysis <strong>of</strong> data with GraphPad s<strong>of</strong>tware.<br />

Results: The mean(SD) age <strong>of</strong> <strong>the</strong> long term PPI group was 47.5(5.9) and 45.9 (6.0)<br />

in <strong>the</strong> control population with no statistical difference between <strong>the</strong> two groups.The<br />

mean duration <strong>of</strong> PPI use was 15(2.0)months Among study patients, long term PPI<br />

users (n = 43,Male 20 Female 23) had a mean(SD) Mg level <strong>of</strong> 1.80 (0.17) mg/dL,<br />

and non-users (n = 43,Male 21,Female 22) 2.06 (0.30) mg/dL, p = 0.001. PPI use<br />

was associated with lower serum Mg levels (95% CI = - 0.30 to - 0.19).The FE-Mg<br />

<strong>of</strong> long term PPI users had a mean (SD) <strong>of</strong> 1.37(0.65) % and <strong>the</strong> control population<br />

2.72(0.88), p = 0.001.Among <strong>the</strong> PPI group, 9 patients (20%) had a serum Mg less<br />

than <strong>the</strong> lower limit <strong>of</strong> our population reference interval (1.7 mg/dl) none <strong>of</strong> <strong>the</strong>m<br />

were clinically symptomatic for hypomagnesemia.The serum magnesium levels<br />

showed a negative correlation with <strong>the</strong> duration <strong>of</strong> PPI <strong>the</strong>rapy( r= 0.502 , p 0.01).<br />

Conclusion: PPI use is associated with slightly lower serum Mg levels than <strong>the</strong><br />

normal population. The FE-Mg <strong>of</strong> <strong>the</strong> PPI group is significantly reduced suggesting<br />

increased renal conservation <strong>of</strong> magnesium in order to maintain near normal serum<br />

levels.It seems that if patients with impaired renal handling <strong>of</strong> Mg (diabetes, CKD or<br />

those on diuretics) receive long term PPI <strong>the</strong>rapy <strong>the</strong>y might possibly be at a greater<br />

risk <strong>of</strong> clinically significant hypomagnesemia. Clinically evident hypomagnesemia<br />

is possibly <strong>the</strong> tip <strong>of</strong> <strong>the</strong> iceberg below which lies <strong>the</strong> vast spectrum <strong>of</strong> subclinical<br />

hypomagnesemia and thus magnesium levels need to be monitored periodically and<br />

supplemented if required in patients on long term PPI <strong>the</strong>rapy.<br />

A-371<br />

Association <strong>of</strong> Tumor Necrosis Factor-Alpha (TNFA) Promoter<br />

Polymorphisms with plasma TNF-α levels and susceptibility to<br />

Diabetic Nephropathy in North Indian Population<br />

J. K. GAMBHIR, S. Gupta, O. Kalra, M. Mehndiratta, K. Shukla, S.<br />

Aggarwal, R. Shukla. University College <strong>of</strong> Medical Sciences, Delhi, India<br />

BACKGROUND: The traditional concept <strong>of</strong> diabetic nephropathy (DN) as a<br />

metabolic disease is now being replaced by chronic low-grade inflammatory disease.<br />

Tumor necrosis factor-alpha (TNF-α) is a proinflammatory cytokine which may play<br />

an important role in <strong>the</strong> pathogenesis and clinical outcome <strong>of</strong> DN. Therefore, this work<br />

was planned to evaluate whe<strong>the</strong>r -863C/A (rs1800630) and -1031T/C (rs1799964)<br />

polymorphisms in TNFA gene are associated with plasma TNF-α levels and diabetic<br />

nephropathy among Type 2 diabetic subjects from North India.<br />

METHODS: We screened 100 healthy controls (HC), 100 Type 2 diabetic subjects<br />

without nephropathy (DM) AND 100 subjects with DN for <strong>the</strong>se polymorphisms using<br />

<strong>the</strong> PCR-RFLP methods. Plasma TNF-α levels were measured by ELISA. Analysis<br />

<strong>of</strong> variance and logistic regression were used to associate individual polymorphisms<br />

with plasma TNF-α levels and DN.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A113


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

RESULTS: The allelic frequencies <strong>of</strong> -863C/A were 0.86/0.14 in HC, 0.72/0.23 in<br />

DM and 0.84/0.16 in DN, and that <strong>of</strong> -1031T/C were 0.89/0.11 in HC, 0.95/0.05 in<br />

DM and 0.80/0.20 in DN. The carriers <strong>of</strong> -863A allele had significantly lower plasma<br />

TNF-α levels (p 300<br />

pg/ml, previous partiroidectomy or transplant, treatment with anti-inflammatory<br />

or immunosuppressant drugs. Twenty-five HD patients (mean age, 62 years; mean<br />

HD time, 12 months; 56% diabetics) were included in <strong>the</strong> study. All <strong>of</strong> <strong>the</strong>m were<br />

previously treated with intravenous calcitriol, and after a 4-weeks wash-out period,<br />

oral paricalcitol (1 mcg/day) was administered for 12 weeks.<br />

Results: Basal values <strong>of</strong> serum calcium (Ca), phosphorus (P), Ca-P product, and<br />

iPTH were 9.1 mg/dl, 4.8 mg/dl, 44.2 mg 2 /dl 2 and 317 pg/ml, respectively. At <strong>the</strong><br />

end <strong>of</strong> <strong>the</strong> study, <strong>the</strong>se parameters did not change, except for iPTH, which decreased<br />

significantly to 302 pg/ml (p


Clinical Studies/Outcomes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-375<br />

Bone Specific Alkaline Phosphatase and Cardiovascular Morbidity<br />

among Patients on Maintenance Hemodialysis<br />

F. M. El Shanawani, M. M. Hasan. Theodor Bilharz Research Institute,<br />

Cairo, Egypt<br />

Background: Vascular calcification is common in individuals with chronic kidney<br />

disease (CKD) and significantly correlated to <strong>the</strong> high cardiovascular death risk. In<br />

advanced CKD, stages 3 through 5, secondary hyperparathyroidism (SHPT), along<br />

with renal osteodystrophy, are common and may be associated with abnormal mineral<br />

metabolism and / or abnormal serum or tissue mineral levels, vascular calcification, and<br />

poor survival, especially among those who undergo maintenance dialysis treatment.<br />

Serum alkaline phosphatase (ALP) is a biochemical marker <strong>of</strong> bone turnover and is<br />

used to monitor metabolic bone disease associated with renal insufficiency. Higher<br />

levels <strong>of</strong> serum ALP were associated with vascular calcification in hemodialysis<br />

patients MHD. Bone-specific ALP is a byproduct <strong>of</strong> osteoblasts and is a more specific<br />

measure <strong>of</strong> bone formation as well as bone turnover and is increased in MHD patients,<br />

probably as a result <strong>of</strong> high turnover bone disease. A<strong>the</strong>rosclerosis, in addition to<br />

being a disease <strong>of</strong> lipid accumulation, also represents a chronic inflammatory process.<br />

Inflammatory markers such as high-sensitivity C-reactive protein (hsCRP) may<br />

provide an adjunctive method for global assessment <strong>of</strong> cardiovascular risk.<br />

Objectives <strong>of</strong> this work:<br />

1. Estimate <strong>the</strong> clinical utility <strong>of</strong> serum biomarkers <strong>of</strong> bone metabolism like ALP,<br />

bALP, intact parathyroid hormone, calcium, and phosphorus as potential markers and<br />

indicators in diagnosis <strong>of</strong> renal osteodystrophy in MHD patients aiming to improve<br />

<strong>the</strong>ir clinical outcomes.<br />

2. Evaluate <strong>the</strong> association between renal osteodystrophy and progression <strong>of</strong> vascular<br />

calcification detected by echocardiography and carotid Duplex in MHD patients.<br />

3. Testing <strong>the</strong> role <strong>of</strong> CRP and hsCRP in mediating <strong>the</strong> increased cardiovascular risk<br />

in MHD patients.<br />

Patients and methods: Seventy MHD patients and 15 healthy volunteers were<br />

enrolled in <strong>the</strong> study. All patients and controls were subjected to echocardiography,<br />

carotid duplex and predialysis blood sampling for estimation <strong>of</strong> routine blood<br />

chemistry (Calcium, Phosphorus, urea, creatinine, glucose, albumin, ALT, AST, ALP,<br />

cholesterol, triglyceride, HDLc ) using autoanalyzer, intact parathormone<br />

(iPTH) and hsCRP by a solid-phase chemiluminescent enzyme-labeled immunometric<br />

assay. Bone specific alkaline phosphatase (bALP) was measured by using a<br />

radioimmunometric assay.<br />

Results: Plasma levels <strong>of</strong> ALP, bALP, iPTH, CRP, hs-CRP, urea, creatinine, glucose,<br />

phosphorus, were significantly higher in MHD group compared to control group.<br />

Statistical analysis revealed highly significance statistical difference in EDD, ESD,<br />

EF, IVS, PWT, IMT in MHD group compared to <strong>the</strong> control group. Mitral valve<br />

calcification was found in 27.4% and aortic valve calcification was found in 71.4%<br />

<strong>of</strong> hemodialyzed patients. B-ALP sensitivity, specificity and positive predictive value<br />

<strong>of</strong> <strong>the</strong> test at a cut <strong>of</strong>f > 10 IU/L were found to be 89%, 67% and 79% respectively.<br />

Conclusion: The results <strong>of</strong> this study demonstrate that plasma bALP can be measured<br />

with a reliable immunoassay in hemodialysis patients. It represents a highly sensitive<br />

and specific biochemical marker <strong>of</strong> skeletal remodeling in <strong>the</strong>se patients, even<br />

better when associated with plasma iPTH levels. Abnormal mineral metabolism and<br />

inflammation are pivotal factors for <strong>the</strong> increased cardiovascular risk in CKD patients.<br />

A-376<br />

Albumin-to-creatinine Ratio in Early-morning Urine versus 24 hour<br />

Urine Albumin in Kidney Transplant Patients.<br />

I. López-Pelayo, A. Sáez Benito-Godino, J. Gutiérrez-Romero, M. Calero-<br />

Ruiz, M. Samper-Toscano, J. Vergara-Chozas, M. Bailén-García. Hospital<br />

Puerta del Mar, Cádiz, Spain<br />

Background: it is generally accepted that <strong>the</strong> best measure <strong>of</strong> albuminuria is that<br />

based on a 24h urine collection, but <strong>the</strong> variability <strong>of</strong> results obtained make this view<br />

questionable. The objective <strong>of</strong> this study was to determine if albumin-to-creatinine<br />

ratio (ACR) in early-morning urine (EMU) is interchangeable with 24h albuminuria<br />

(Alb24h) in kidney transplant patients at various cut-<strong>of</strong>fs.<br />

Methods: we included 170 kidney transplant patients controlled at <strong>the</strong> Nephrology<br />

Department, with EMU and 24h urine samples. We measured ACR and 24h albumin<br />

on Cobas 6000 (Roche Diagnostics). Patients transplanted <strong>the</strong> previous six months<br />

or with diuresis less than 500 ml were excluded. Statistical analyses: Spearman´s<br />

rank correlation and Passing-Bablock regression test for different cut-<strong>of</strong>fs (30, 300<br />

and 700 mg/24h). The ability <strong>of</strong> ACR to predict abnormal Alb24h at <strong>the</strong>se cut-<strong>of</strong>fs<br />

was determined from Receiver Operator Characteristic (ROC) curve analysis and<br />

calculating sensitivities, specificities and likelihood ratios (LR).<br />

Results: for cut-<strong>of</strong>fs <strong>of</strong> 30, 300 and 700 mg/dl, <strong>the</strong> Spearman´s coefficients were<br />

0.668; 0.709 and 0.889 respectively (p300 mg/24h) and Y=-276.8+0.94*X<br />

(Cut-<strong>of</strong>f>700 mg/24h). 95%Confidence Interval were (-273.4 to -17.6), (0.763 to<br />

1.044) and (-795.3 to 58.1), (0.735 to 1.323) respectively. ROC curve analysis was<br />

described in table 1.<br />

Conclusion: this study shows a good correlation between both samples. ACR<br />

underestimates Alb24h and is progressively greater as <strong>the</strong> degree <strong>of</strong> albuminuria<br />

increased. Linear regression allows estimating Alb24h from ACR for concentrations<br />

higher than 300 mg/24h, with two different equations depending on <strong>the</strong> cut-<strong>of</strong>f<br />

considered. We could use <strong>the</strong> same cut-<strong>of</strong>fs for ACR than for Alb24h to facilitate<br />

clinical purpose. We finally conclude that we can not use EMU to predict albumin<br />

excretion in <strong>the</strong> range <strong>of</strong> major clinical interest.<br />

A-377<br />

High Serum Creatinine Variability Prior to Intravenous Contrast<br />

Medium Administration May Confound a Diagnosis <strong>of</strong> Contrast-<br />

Induced Nephropathy<br />

J. S. McDonald, R. J. McDonald, E. E. Williamson, D. F. Kallmes. Mayo<br />

Clinic, Rochester, MN<br />

Background: Administration <strong>of</strong> iodinated contrast media has been associated with <strong>the</strong><br />

development <strong>of</strong> acute kidney injury (AKI), termed “contrast-induced nephropathy”,<br />

however contrast-independent sources <strong>of</strong> AKI can confound a diagnosis <strong>of</strong> contrastinduced<br />

nephropathy. We sought to determine <strong>the</strong> effect <strong>of</strong> serum creatinine (SCr)<br />

variability prior to contrast exposure on <strong>the</strong> incidence <strong>of</strong> AKI.<br />

Methods: All contrast-enhanced and unenhanced abdominal, pelvic, and thoracic CT<br />

scans performed at our institution between 2000-2010 were identified. Patients were<br />

stratified by baseline SCr into < 1.5 mg/dL, 1.5 - 2.0 mg/dL, and > 2.0 mg/dL mg/dL<br />

subgroups. Patients with high pre-scan SCr variability (delta > 0.5 mg/dL in <strong>the</strong> 7 days<br />

prior to scan) were identified and subdivided into increasing SCr or decreasing SCr<br />

subgroups. The effect <strong>of</strong> pre-scan SCr on <strong>the</strong> incidence <strong>of</strong> post-scan AKI (SCr ≥ 0.5<br />

mg/dL over baseline in <strong>the</strong> 1-3 days post-scan) was assessed using Fisher’s Exact test.<br />

Results: A total <strong>of</strong> 49,421 scans performed on 29,422 patients met inclusion criteria,<br />

<strong>of</strong> which 10,677 (22%) had high pre-scan SCr variability. Incidence <strong>of</strong> high SCr<br />

variability increased with increasing baseline SCr (11% for baseline < 1.5 mg/dL,<br />

42% for baseline 1.5-2.0 mg/dL, 75% for baseline > 2.0 mg/dL). Of <strong>the</strong> 4370 patients<br />

who developed AKI, 2417 (55%) had high pre-scan SCr variability. Patients who<br />

developed post-scan AKI were more than four times likely to have high pre-scan SCr<br />

variability compared to patients who did not develop AKI (23% versus 5%, OR= 5.51<br />

(95% CI 5.17-5.88), p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

A-378<br />

Procalcitonin as a Biomarker <strong>of</strong> Bacterial Infection in Acute Liver<br />

Failure<br />

J. A. Balko 1 , L. S. Hynan 1 , N. Attar 1 , C. Sanders 1 , W. J. Korzun 2 , W. M. Lee 1 .<br />

1<br />

UT Southwestern Medical Center, Dallas, TX, 2 Virginia Commonweatlh<br />

University, Richmond, VA<br />

Background: Because acute liver failure (ALF) patients share many clinical features<br />

with severe sepsis and septic shock, identifying bacterial infection in ALF is difficult.<br />

Procalcitonin (PCT) is a precursor form <strong>of</strong> calcitonin normally produced in <strong>the</strong><br />

parafollicular C cells <strong>of</strong> <strong>the</strong> thyroid gland. In bacterial infection or sepsis, PCT is<br />

produced by o<strong>the</strong>r cell types; elevated levels <strong>of</strong> PCT are useful in detecting bacterial<br />

infection. We examined PCT as a biomarker <strong>of</strong> bacterial infections in patients with<br />

ALF.<br />

Methods: We classified 1863 patients enrolled in <strong>the</strong> US ALF Study based on <strong>the</strong><br />

patient’s severity <strong>of</strong> disease by standard definitions <strong>of</strong> systemic inflammatory<br />

response syndrome (SIRS), severe sepsis, and septic shock. We randomly selected<br />

115 patients: without SIRS (n = 30); SIRS (n = 29); severe sepsis (n = 40); and septic<br />

shock (n = 16). Twenty subjects with chronic liver disease (primary biliary cirrhosis<br />

or viral hepatitis, CLD) were randomly chosen from UT Southwestern Liver Disease<br />

Data /Sample repositories and classified as not infected. The area under <strong>the</strong> receiveroperator<br />

characteristic curve (AUROC) was determined after separating PCT values<br />

by <strong>the</strong> absence (n = 79) or presence (n = 56) <strong>of</strong> documented bacterial infection. Sera<br />

were tested for PCT using <strong>the</strong> Siemens ADVIA Centaur BRAHMS PCT assay, a<br />

sandwich, chemiluminescent immunoassay. PCT values 2.00 are indicative <strong>of</strong><br />

severe sepsis (consistent with bacterial infection).<br />

Results: All ALF median PCT values were near or above <strong>the</strong> 2.0 ng/mL cut-<strong>of</strong>f, with<br />

a trend but no significant difference between groups (p = 0.169): without SIRS - 1.57<br />

ng/mL, SIRS - 2.29 ng/mL, severe sepsis - 2.51 ng/mL, and septic shock - 5.89 ng/mL.<br />

When CLD (control, no infection) subjects were compared to <strong>the</strong> ALF groups, <strong>the</strong>re<br />

was a significant difference (p =


Clinical Studies/Outcomes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

and Total Thyroxine) exceeded <strong>the</strong> proposed goal at one decision level. Instrument<br />

consistency results <strong>of</strong> Thyroid Stimulating Hormone and Total Thyroxine exceeded<br />

<strong>the</strong> desirable goals at two decision levels, while Follicle Stimulating Hormone,<br />

Prolactin and Vitamin B12 exceeded <strong>the</strong> proposed goal at one decision level.<br />

Conclusions: New techniques for setting analytical performance goals have been<br />

proposed. This investigation indicated that Beckman Coulter, DxI 800 immunoassay<br />

system meets most <strong>of</strong> <strong>the</strong>se resultant goals.<br />

A-381<br />

Comparison <strong>of</strong> maternal and umbilical cord blood soluble lectin-like<br />

oxidized low density lipoprotein receptor 1 levels and <strong>the</strong> frequency<br />

<strong>of</strong> <strong>the</strong> two gene polymorphisms in early- and late-onset preeclampsia<br />

A. Tüten 1 , H. Erman 2 , B. Aydemir 3 , G. Guntas Korkmaz 4 , A. Kiziler 5 , V.<br />

Sözer 6 , R. Gelişgen 7 , M. Albayrak 8 , S. Acıkgoz 1 , G. Simsek 9 , G. Simsek 9 , H.<br />

Uzun 10 . 1 Departments <strong>of</strong> Obstetrics and Gynecology, Istanbul University,<br />

Cerrahpasa Medical Faculty, Istanbul, Turkey., Istanbul, Turkey,<br />

2<br />

Department <strong>of</strong> Biochemistry ,Istanbul University, Cerrahpasa Medical<br />

Faculty, Istanbul, Turkey, Istanbul, Turkey, 3 Department <strong>of</strong> Biophysics,<br />

Medical Faculty, Sakarya University, Sakarya, Turkey, 4<br />

Kırklareli<br />

University, School <strong>of</strong> Health, Kırklareli, Turkey, Kırklareli, Turkey,<br />

5<br />

Department <strong>of</strong> Biophysics, Medical Faculty, Namık Kemal University,<br />

Tekirdag, Turkey, Tekirdag, Turkey, 6 Department <strong>of</strong> Biochemistry, Yildiz<br />

Technical University, Istanbul, Turkey, Istanbul, Turkey, 7 Departments <strong>of</strong><br />

Biochemistry, Istanbul University, Cerrahpasa Medical Faculty, Istanbul,<br />

Turkey., Istanbul, Turkey, 8 Department <strong>of</strong> Obstetrics and Gynecology,<br />

Duzce University School <strong>of</strong> Medicine, Duzce, Turkey, Duzce, Turkey,<br />

9<br />

Departments <strong>of</strong> Physiology, Istanbul University, Cerrahpasa Medical<br />

Faculty, Istanbul, Turkey., Istanbul, Turkey, 10 Department <strong>of</strong> Biochemistry,<br />

Istanbul University, Cerrahpasa Medical Faculty, Istanbul, Turkey,<br />

Istanbul, Turkey<br />

Background: The main purpose <strong>of</strong> this study was to determine <strong>the</strong> maternal and<br />

umblical cord blood soluble lectin-like oxidized low-density lipoprotein receptor 1<br />

(sLOX-1) and oxidized LDL (oxLDL) levels in early and late-onset preeclampsia.<br />

Additionally, we aimed to investigate whe<strong>the</strong>r LOX-1 3’UTR188CT and LOX-1<br />

K167N polymorphysms could effect <strong>the</strong> development <strong>of</strong> preeclampsia in Turkish<br />

population.<br />

Methods: A population based case-control study was conducted in pregnant women<br />

with early- (24-32 weeks’ gestation; n=19) and late-onset (35-42 weeks’ gestation;<br />

n=22) preeclampsia compared to gestational age-matched healthy normotensive<br />

pregnant women (n=44). Groups were compared for <strong>the</strong> maternal and umblical cord<br />

serum soluble sLOX-1 and plasma oxidized LDL (oxLDL) levels. Additionally,<br />

<strong>the</strong> frequency <strong>of</strong> <strong>the</strong> two LOX-1 gen polymorphysms, 3’UTR188CT and K167N,<br />

determined by PCR-RFLP technique were compared between 113 preeclamptic and<br />

96 uncomplicated pregnant women.<br />

Results: The mean maternal and umblical cord serum sLOX-1 and plasma oxLDL<br />

levels were significantly increased in early- and late-onset preeclampsia compared to<br />

control pregnant women (p10 5 cfu/mL. The<br />

Sysmex UF-1000i demonstrated increased SP over urine Gram stain, and would allow<br />

for a 55% reduction in urine cultures.<br />

A-387<br />

Appropriate Hb A1c testing frequency is not associated with proper<br />

treatment changes.<br />

J. Noguez, R. Molinaro. Emory University, Atlanta, GA<br />

Background: It is recommended that Hb A 1c<br />

testing be performed at least twice per<br />

year on patients who are meeting treatment goals and demonstrate stable glycemic<br />

control. For those who have had treatment changes or are not meeting glycemic<br />

goals, quarterly testing is suggested. While Hb A 1c<br />

utilization and adherence to<br />

testing frequency recommendations is important, so is <strong>the</strong> adjustment <strong>of</strong> treatment<br />

when changes in Hb A 1c<br />

are considered significant. The objective <strong>of</strong> this study was to<br />

assess clinician practice by monitoring Hb A 1c<br />

testing and medical chart review with<br />

clinician survey.<br />

Methods: Using retrospective data analysis, we determined whe<strong>the</strong>r recommendations<br />

are followed for Hb A 1c<br />

testing frequency, and in those cases, whe<strong>the</strong>r appropriate<br />

treatment changes are made based on calculated Hb A 1c<br />

reference change values.<br />

Hb A 1c<br />

values (n=32,112) over a one-year period were extracted from <strong>the</strong> laboratory<br />

information system and <strong>the</strong> data filtered to include only patients who were tested at<br />

least twice within <strong>the</strong> time frame <strong>of</strong> our study. This data (n=4,380) was partitioned<br />

into patients that were tested at <strong>the</strong> recommended frequency and those that were not.<br />

Patients tested at <strong>the</strong> recommended frequency were fur<strong>the</strong>r partitioned into those who<br />

demonstrated glycemic control (HbA 1c<br />


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

This study revealed that


Clinical Studies/Outcomes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

middle frontal gyrus and <strong>the</strong> verbal fluency scores (r = -0.377, p = 0.028), <strong>the</strong> positive<br />

correlation <strong>of</strong> FA discrepancy in left extra-nuclear with MMSE scores were also<br />

identified (r = 0.382, p = 0.026) in CC genotype group.<br />

Conclusion: Nondemented healthy carriers <strong>of</strong> <strong>the</strong> CLU gene risk variant showed<br />

complex FA discrepancy when compared with T allele carriers, some <strong>of</strong> which related<br />

with cognitive measures. These changes can be considered as abnormal imaging<br />

phenotypes for <strong>the</strong> risk genetic type.<br />

A-392<br />

Elevated ET-1/NO and TXA2/PGI2 in cirrhosis patients with ascites<br />

and type 1 hepatorenal syndrome<br />

N. Xin, H. Yong, W. Bin, H. Hualan, M. Qiang, S. Haolan, L. Tongxing,<br />

G. Baoxiu, H. Jun, L. Guixing. Department <strong>of</strong> Laboratory Medicine, West<br />

China Hospital, Sichuan University, chengdu, China<br />

Background: Hepatorenal syndrome (HRS) is a severe complication <strong>of</strong> End Stage<br />

Liver Disease (ESLD) but <strong>the</strong> pathogenetic mechanism <strong>of</strong> it is still elusive at present.<br />

Recent studies indicate that severe renal vasoconstriction is associated with <strong>the</strong><br />

development <strong>of</strong> HRS. The aim <strong>of</strong> this study is to investigate <strong>the</strong> mechanisms <strong>of</strong> renal<br />

vasoconstriction in HRS by exploring serum levels <strong>of</strong> endo<strong>the</strong>lin-1(ET-1), nitric oxide<br />

(NO), thromboxane A 2<br />

(TXA 2<br />

) and prostacyclin I 2<br />

(PGI 2<br />

), which have antagonistic<br />

vasoactive effect on kidney, in cirrhosis patients with ascites and type 1 hepatorenal<br />

syndrome.<br />

Methods: Between January 2009 and May 2011, 38 cirrhosis inpatients with ascites<br />

and type 1 HRS (HRS group) and 41 cirrhosis inpatients with ascites but normal<br />

renal function (Non-HRS group) in our hospital were enrolled in this study. Clinical<br />

characteristics <strong>of</strong> <strong>the</strong> subjects were recorded and serum samples <strong>of</strong> <strong>the</strong> two groups<br />

were obtained for laboratory analysis <strong>of</strong> ET-1, NO and stable metabolites <strong>of</strong> TXA 2<br />

and<br />

PGI 2<br />

, TXB 2<br />

and 6-keto-PGF 1α<br />

.<br />

Results: No significant difference (P>0.05) was found in age, gender, etiology and<br />

severity <strong>of</strong> <strong>the</strong> underlying liver disease between <strong>the</strong> two groups. However, <strong>the</strong> patients<br />

<strong>of</strong> HRS group had higher systemic inflammatory response syndrome (SIRS) score<br />

than <strong>the</strong> non-HRS group (P0.05). Serum TNF-α, TNFR1 and TNFR2 levels on day 7 and month<br />

1 were also significantly higher AR (+) group compared to AR (-) (p=0.012, p=0.049<br />

for TNF-α, p=0.001, p=0.002 for TNFR1, p=0.001, p=0.002 for TNFR2).<br />

Conclusion: Fur<strong>the</strong>rmore, our preliminary findings suggest that serum TNF-α, TNFR<br />

I and TNFR 2 levels might be considered useful markers <strong>of</strong> predicting graft function<br />

after renal transplantation. The sequential monitoring <strong>of</strong> <strong>the</strong>se parameters may<br />

identify <strong>the</strong> patients at <strong>the</strong> risk in <strong>the</strong> early period post-transplant. Prospective studies<br />

are needed to clarify <strong>the</strong> usefulness <strong>of</strong> <strong>the</strong>se parameters for identifying risks <strong>of</strong> AR.<br />

A-394<br />

Risk stratification with Adrenomedullin in emergency patients with<br />

acute dyspnea<br />

J. Searle, A. C. Slagman, C. Müller, D. Meyer zum Büschenfelde,<br />

J. von Recum, J. O. Vollert, M. Stockburger, M. Möckel. Charité -<br />

Universitätsmedizin Berlin, Berlin, Germany<br />

Background: Acute dyspnea can be caused by severe cardiac and non-cardiac<br />

diagnoses and is associated with high in-hospital mortality. Adrenomedullin is a<br />

peptide hormone with hypotensive, natriuretic and positive inotropic effects, and is<br />

released upon increased cardiac pressure- and volume load. The objective <strong>of</strong> this<br />

analysis is to evaluate MR-proADM as a marker for short-term risk-stratification in<br />

patients with acute dyspnea.<br />

Methods: Consecutive, adult patients with dyspnea (n=305) were enrolled in <strong>the</strong><br />

ED, patients with anemia were excluded. Blood samples were drawn at admission.<br />

Outcome was assessed after 3 months. MR-proADM was measured from frozen<br />

samples at <strong>the</strong> end <strong>of</strong> recruitment.<br />

Results: Patients had a median age <strong>of</strong> 67 (58-74) years, 63.4% were male. AHF was<br />

<strong>the</strong> most frequent underlying diagnosis (15.7%), 13.8% were diagnosed with COPD<br />

or Asthma, 7.5% with pneumonia. Median ADM was 0.9 (0.63-1.43) nmol/L. Patients<br />

with acute and chronic heart failure had <strong>the</strong> highest ADM values (1.54 (1.03-2.47) and<br />

(1.52 (1.28-2.20) nmol/L, respectively).<br />

After 3 months, 6.6% (n=20) <strong>of</strong> <strong>the</strong> patients had died. Non-survivors had significantly<br />

higher ADM values (1.52 / 0.84-2.6 nmol/L) than survivors (p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

A-395<br />

Levels <strong>of</strong> apelin-13 and total oxidant / antioxidant status in sera <strong>of</strong><br />

Alzheimer patients<br />

Z. DENİZ YILDIZ, N. -. EREN, F. GOKYIGIT, F. TURGAY, L.<br />

GUNDOGDU CELEBİ. şişli etfal trainig and research hospital, İstanbul,<br />

Turkey<br />

Objective: In this study, serum levels <strong>of</strong> Apelin-13, a cytokine derived from<br />

adipocytes and a potential diagnostic biomarker for AD, and its relationship with TAS<br />

and TOS due to its anti-ROS properties were investigated.<br />

Materials anD Methods: The study included 31 patients diagnosed with AD (13<br />

male/18 female) and 30 individuals (9 male/21 female) as a control group <strong>of</strong> healthy<br />

subjects without dementia. The control group included healthy volunteers who had<br />

similar demographic characteristics with patients. The mean age <strong>of</strong> patients and control<br />

group were 72.73 ± 6.17, 75.54 ± 5.27 years, respectively. Apelin-13 measurement<br />

process has been completed in SEAC RADIM Company ALISEI analyser by using<br />

Bachem Human Apelin 13 (Cat No. S-1416) ELISA Kit. TAS and TOS measurements<br />

have been completed by using full-automated colorimetric method developed by Erel<br />

(Rel Assay Diagnostics, Turkey).<br />

Results: In our study, a statistically significant difference was not found between <strong>the</strong><br />

patients and <strong>the</strong> control group for <strong>the</strong> TOS levels (p> 0.05). TAS measurements <strong>of</strong><br />

<strong>the</strong> patient group were significantly lower than that <strong>of</strong> <strong>the</strong> control group (p


Clinical Studies/Outcomes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

with existing ELISA method. Cut-<strong>of</strong>f point differentiation (20 CU for BIO-FASH<br />

analyzer or ELISA Units for QUANTA-Lyser) between Positive/ Negative samples<br />

remain unchanged between both methods. Semi-Quant reportable numbers with<br />

respect to cut-<strong>of</strong>f agreed well within <strong>the</strong> negative samples, but not well with positive<br />

samples. Overall, <strong>the</strong> automation and simplification <strong>of</strong> <strong>the</strong> assay makes it ideal for non<br />

specialized staff and high throughput.<br />

A-399<br />

Clinical and Analytical Evaluation <strong>of</strong> <strong>the</strong> ARCHITECT HAVAB-G<br />

Assay<br />

D. T. Shaar 1 , P. Moreno 1 , S. Du 1 , J. Huang 1 , J. Yen 1 , D. Bro<strong>the</strong>rton 1 , S.<br />

Worobec 1 , P. Schwebel 1 , W. Castellani 2 , M. Petruso 3 , M. E. Boyle 4 . 1 Abbott<br />

Diagnostics, Abbott Park, IL, 2 MS Hershey Medical Center, Hershey, PA,<br />

3<br />

Nationwide Laboratory Services, Fort Lauderdale, FL, 4 University <strong>of</strong><br />

Colorado Hospital, Aurora, CO<br />

Objective: To evaluate <strong>the</strong> performance <strong>of</strong> <strong>the</strong> ARCHITECT ® HAVAB-G assay in a<br />

diagnostic population.<br />

Method: ARCHITECT HAVAB-G is a chemiluminescent microparticle immunoassay<br />

for <strong>the</strong> qualitative detection <strong>of</strong> IgG antibody to hepatitis A virus (IgG anti-HAV).<br />

A 5-day system reproducibility study was performed based on guidance from <strong>the</strong><br />

Clinical and Laboratory Standards Institute (CLSI) document EP15-A2. For method<br />

comparison, ARCHITECT HAVAB-G results were compared to <strong>the</strong> final HAV IgG<br />

status, which was determined with AxSYM HAVAB 2.0 (total HAV assay) and<br />

ARCHITECT HAVAB-M (HAV IgM assay). Percent agreement <strong>of</strong> positive results<br />

(positive percent agreement or PPA) and percent agreement <strong>of</strong> negative results<br />

(negative percent agreement or NPA) were calculated for <strong>the</strong> following populations:<br />

a) individuals at increased risk <strong>of</strong> HAV infection and individuals with signs and<br />

symptoms <strong>of</strong> hepatitis infection, b) apparently healthy individuals, c) Hepatitis A<br />

vaccine recipients, and d) surplus pediatric specimens.<br />

Results: The ARCHITECT HAVAB-G assay demonstrated a %CV range <strong>of</strong> 4.3-4.9<br />

for within-laboratory imprecision at clinically relevant analyte levels. In <strong>the</strong> method<br />

comparison study, <strong>the</strong> positive percent agreement (PPA) was as follows: individuals at<br />

increased risk <strong>of</strong> HAV infection and individuals with signs and symptoms <strong>of</strong> hepatitis<br />

infection 95.30% (385/404), apparently healthy individuals 98.69% (151/153),<br />

Hepatitis A vaccine recipients 100.00% (68/68), and surplus pediatric specimens<br />

97.62% (82/84). The negative percent agreement (NPA) was as follows: individuals at<br />

increased risk <strong>of</strong> HAV infection and individuals with signs and symptoms <strong>of</strong> hepatitis<br />

infection 97.84% (363/371) apparently healthy individuals 99.18% (364/367),<br />

Hepatitis A vaccine recipients 100.00% (2/2), and surplus pediatric specimens 97.81%<br />

(223/228).<br />

Conclusion: The ARCHITECT HAVAB-G assay provides detection <strong>of</strong> IgG antibody<br />

to Hepatitis A virus. The presence <strong>of</strong> IgG anti-HAV implies a past HAV infection<br />

(recent or distant) or vaccination against HAV. Detectable levels above <strong>the</strong> assay cut<strong>of</strong>f<br />

imply immunity to HAV infection.<br />

A-400<br />

Multimarker Logistic Regression Models Predict Sepsis Prior to Onset<br />

<strong>of</strong> Overt Clinical Symptoms<br />

J. M. Colón-Franco, D. A. Anderson, S. Litt, S. Srinivasa Gowda, T. W.<br />

Rice, A. P. Wheeler, W. D. Dupont, A. Woodworth. Vanderbilt University<br />

Medical Center, Nashville, TN<br />

Background: Sepsis is a life-threatening condition characterized by systemic<br />

inflammatory response syndrome (SIRS) along with a documented infection. Rapid<br />

diagnosis and early initiation <strong>of</strong> <strong>the</strong>rapy significantly reduces mortality, but diagnosis<br />

during early stages <strong>of</strong> disease is difficult because many clinical conditions present<br />

with SIRS. No single biochemical or clinical marker can accurately identify early<br />

sepsis among patients with SIRS.<br />

Objective: To develop prediction models able to identify sepsis up to two days before<br />

overt clinical presentation <strong>of</strong> SIRS in Medical Intensive Care Unit (MICU) patients<br />

and to compare <strong>the</strong>ir diagnostic utilities to <strong>the</strong> only FDA approved sepsis biomarker,<br />

procalcitonin (PCT)<br />

Methods: This retrospective cohort study enrolled 201 MICU patients with SIRS who<br />

were identified by an electronic system that scans electronic medical records (EMRs)<br />

and alerts when patients meet ≥2 SIRS criteria (temperature >38°C or 90 beats/min, respiratory rate >20 breaths/min and white cell count >12x10 9 or<br />


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

A-404<br />

Enhanced Liver Fibrosis (ELF) Panel as a Predictor <strong>of</strong> Liver Fibrosis<br />

in Chronic Hepatitis C Patients<br />

F. Fernandes 1 , A. Dellavance 2 , L. E. Andrade 2 , F. Campos 1 , G. H. Pereira 3 ,<br />

C. Terra 1 , J. Pereira 3 , F. Figueiredo 1 , R. Perez 1 , M. L. Ferraz 2 . 1 Hospital<br />

Universitário Pedro Enesto - UERJ, Rio de Janeiro, Brazil, 2 Fleury<br />

Laboratory, São Paulo, Brazil, 3 Hospital Federal de Bonsucesso, Rio de<br />

Janeiro, Brazil<br />

A-403<br />

The clinical Laboratory can demonstrate value by leveraging<br />

technology to reduce Hospital Acquired Infections (HAIs)<br />

D. L. Uettwiller-Geiger. John T. Ma<strong>the</strong>r Memorial Hospital, Port Jefferson,<br />

NY<br />

Background: Hospital acquired infections (HAIs) are a major cause <strong>of</strong> morbidity,<br />

mortality, increased length <strong>of</strong> stay and excessive healthcare costs. The federal Centers<br />

for Disease Control and Prevention (CDC) estimates that, each year <strong>the</strong>re are 1.7<br />

million HAIs, causing about 100,000 deaths annually.<br />

Objectives: To implement a rapid testing program to cost effectively detect Methicillin<br />

Resistant Staphylococcus Aureus (MRSA) and Clostridium difficile (C. difficile) in<br />

colonized and/or infected patients using new technologies. The availability <strong>of</strong> rapid<br />

testing on demand and in real time provides clinicians with key test results within<br />

one hour instead <strong>of</strong> days. An effective infection control program along with strong<br />

laboratory support will reduce <strong>the</strong> number <strong>of</strong> HAIs and <strong>the</strong> associated morbidity and<br />

mortality.<br />

Methods: A program for MRSA was implemented in March 2008 using rapid<br />

polymerase chain reaction (PCR) on <strong>the</strong> Cepheid GeneXpert® System. The system<br />

uses a single test cartridge delivering test results in less than an hour. In May 2010, <strong>the</strong><br />

C. difficile program was implemented using <strong>the</strong> C. DIFF Quik Chek Complete from<br />

Alere, manufactured by TechLab Inc. The technology uses antibodies to identify and<br />

confirm <strong>the</strong> presence <strong>of</strong> toxigenic C. difficile by detecting toxins A and B in a single<br />

assay device and glutamate dehydrogenase (GDH) antigen, delivering test results in<br />

< 45 minutes.<br />

Results: Our testing strategy for MRSA focused on high risk populations <strong>of</strong><br />

intensive care units, cardiac care unit, and Orthopedics. In 2007, before rapid PCR<br />

MRSA screening, <strong>the</strong> infection rate was .90/1000 discharges and five years after<br />

implementation <strong>of</strong> <strong>the</strong> rapid PCR MRSA screening program <strong>the</strong> infection rate in<br />

2012 was .23/1000. Comparing MRSA infection rates from 2007 to 2012 <strong>the</strong>re was a<br />

76% reduction with a corresponding 76% reduction in associated infection costs. The<br />

five year PCR screening cost was $448,400. Based on <strong>the</strong> average cost <strong>of</strong> medical<br />

care for a MRSA infection <strong>of</strong> $35,000 dollars per infected patient, we decreased <strong>the</strong><br />

cost <strong>of</strong> infection by $1,511,600 during <strong>the</strong> five year period and <strong>the</strong> length <strong>of</strong> stay<br />

for <strong>the</strong> critical care units decreased by 21%. In 2009, <strong>the</strong> C. difficile infection rate<br />

was .95/1000 and three years after implementation <strong>of</strong> <strong>the</strong> simultaneous testing <strong>the</strong><br />

infection rate in 2012 was .34/1000. Comparing C. difficile infection rates from 2009<br />

to 2012 <strong>the</strong>re was a 63% reduction with a corresponding 63% reduction in associated<br />

infection costs. The three year C. difficile testing cost was $86,460. Based on <strong>the</strong><br />

average cost <strong>of</strong> medical care for a C. difficile infection <strong>of</strong> $35,000 dollars per infected<br />

patient, we decreased <strong>the</strong> cost <strong>of</strong> infection by $1,453,540 during this three year period.<br />

Total cost avoidance/savings due to <strong>the</strong> decrease in MRSA and C. difficile infections<br />

was $2,965,140.<br />

Conclusions: Our Laboratory’s rapid testing programs for MRSA and C.difficile using<br />

new technologies demonstrate <strong>the</strong> Laboratory’s value by supporting our infection<br />

control measures and strategies that permit rapid identification and interventions that<br />

assure patient safety, improve bed management, decrease length <strong>of</strong> stay, and saves<br />

millions <strong>of</strong> dollars, while enhancing patient outcomes and significantly reducing<br />

hospital acquired infections.<br />

Relevance: Fibrosis is <strong>the</strong> most important issue in <strong>the</strong> assessment <strong>of</strong> chronic<br />

hepatitis C (CHC), with treatment and prognostic relevance. Liver biopsy remains<br />

<strong>the</strong> gold standard for staging fibrosis, despite its many drawbacks. In recent years<br />

much has been researched in <strong>the</strong> field <strong>of</strong> non-invasive serological markers <strong>of</strong> liver<br />

fibrosis. Among <strong>the</strong>se one <strong>of</strong> <strong>the</strong> most promising is ELF panel which comprises<br />

hyaluronic acid (HA), tissue inhibitor <strong>of</strong> matrix metalloproteinases-1 (TIMP-1) and<br />

aminoterminal propeptide <strong>of</strong> procollagen type III (PIIINP). To date, <strong>the</strong>re is scarce<br />

data on ELF performance as a non-invasive marker <strong>of</strong> fibrosis in patients with CHC.<br />

Objective: To evaluate <strong>the</strong> performance <strong>of</strong> ELF as a non-invasive marker <strong>of</strong> fibrosis<br />

in CHC patients.<br />

Material and Methods: A hundred and twenty patients with CHC that were<br />

consecutively submitted to liver biopsy were included. Exclusion criteria: human<br />

immunodeficiency virus and hepatitis B co-infection, daily alcohol intake <strong>of</strong> more<br />

than 40g, cholestasis, chronic kidney failure, right-sided heart failure, fibrogenic<br />

drugs use, less than six portal tracts or concomitant pathology in <strong>the</strong> liver biopsy. The<br />

blood sample was collected within an interval <strong>of</strong> at most 3 months from <strong>the</strong> biopsy.<br />

The serum was frozen at - 70° C in an interval no longer than 3 hours. PIIINP, HA, and<br />

TIMP-1 were measured in all patients by a CE-marked, random-access, automated<br />

clinical immunoassay system that uses magnetic particle separation technology with<br />

direct chemiluminescence (ADVIA Centaur®, Siemens Healthcare Diagnostics,<br />

Tarrytown, NY, USA). The ELF score was calculated using <strong>the</strong> algorithm: ELF<br />

= 2.278 + 0.851 ln(HA) + 0.751 ln(PIIINP) + 0.394 ln(TIMP-1). Cut-<strong>of</strong>f points<br />

proposed by <strong>the</strong> manufacturer were applied: < 7.7 absent or mild fibrosis, ≥ 7.7 and<br />

< 9.8 moderate fibrosis and ≥ 9.8 severe fibrosis. Biopsies were reviewed by one<br />

experienced pathologist. The study was approved by <strong>the</strong> local Ethics Committee.<br />

Statistical analyses were performed using SPSS 17.0 (SPSS Inc., Chicago IL).<br />

Results: Thirty-four percent <strong>of</strong> <strong>the</strong> patients were men, mean age 53 (SD ± 11.3) years<br />

old. The distribution <strong>of</strong> fibrosis stages according to METAVIR was: stage 0 - 2%;<br />

stage 1 - 52%; stage 2 - 30%; stage 3 - 9% and stage 4 - 7% . According to ELF<br />

cut-<strong>of</strong>f points we had: three (2%) patients with absent or mild fibrosis (F0-1), seventyfour<br />

(61%) with moderate fibrosis (F2-3) and forty-four (37%) with cirrhosis (F4).<br />

When compared to histological analysis ELF overestimated fibrosis in 76% <strong>of</strong> cases<br />

and underestimated in one case. The Spearman correlation coefficient <strong>of</strong> ELF with<br />

<strong>the</strong> histological staging was 0.57 (p


Clinical Studies/Outcomes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Objective: to perform a full analytical validation, including cut-<strong>of</strong>f establishment,<br />

precision, accuracy and method comparison was performed on <strong>the</strong> NOVA View<br />

instrument with NOVA Lite® HEp-2 ANA kit with DAPI reagents for <strong>the</strong> detection <strong>of</strong><br />

ANA before implementing it in <strong>the</strong> routine use at DASA lab.<br />

Methods: The cut<strong>of</strong>f light intensity unit (LIU) was determined on 120 control<br />

samples. Accuracy was assessed by comparison study on 236 consecutive samples<br />

sent to <strong>the</strong> lab for ANA screening. Positive/negative and pattern agreements were<br />

evaluated between manual (i.e. direct fluoresent microscopic) reading and digital<br />

image reading. Within-run and between run precision was determined on 43 samples<br />

tested in 5 consecutive runs, and on 4 samples tested in 5 replicates, respectively.<br />

Results: The cut<strong>of</strong>f was established at 56 LIU, providing 91.6% positive/negative<br />

agreement between results generated based on LIU and those obtained by reading <strong>the</strong><br />

images on <strong>the</strong> monitor. In <strong>the</strong> method comparison study, positive/negative agreement<br />

between manual reading and digital image reading was 91.3%. Agreement between<br />

ANA patterns <strong>of</strong> positive samples was 98.4%. In <strong>the</strong> between-run precision study <strong>the</strong><br />

43 samples were processed and analyzed by NOVA View on five consecutive days,<br />

and <strong>the</strong> agreement between <strong>the</strong> results was assessed in pair-wise comparisons. For <strong>the</strong><br />

16 samples that were around <strong>the</strong> cut<strong>of</strong>f (112 LIU), it was 96.0-100%. Moreover, LIU values showed excellent<br />

correlation between <strong>the</strong> runs (R 2 : 0.885-0.964). Four samples (three positive and one<br />

negative) were run in five replicates on <strong>the</strong> same slides to assess within-run precision.<br />

Results obtained on replicate wells were compared to each o<strong>the</strong>r. All replicates <strong>of</strong> <strong>the</strong><br />

same samples showed identical results (negative or positive, respectively, and same<br />

pattern) that were also identical to <strong>the</strong> target results.<br />

Conclusion: The technical difficulties <strong>of</strong> processing and reading IIF slides (manual<br />

reading, need for experienced, trained technologists and dark room) make IIF methods<br />

difficult to fit in <strong>the</strong> workflow <strong>of</strong> modern, automated laboratories. NOVA View<br />

streamlines and automates <strong>the</strong> process, eliminates <strong>the</strong> need for a dark room, separates<br />

image acquisition from interpretation, and stores <strong>the</strong> images for future reference. Our<br />

results demonstrated very good agreement between manual reading and digital image<br />

reading <strong>of</strong> ANA slides with excellent repeatability and reproducibility, proving that<br />

NOVA View is a suitable tool for IIF ANA screening.<br />

A-408<br />

Frequency <strong>of</strong> cytogenetic abnormalities in 126 patients with suspected<br />

<strong>of</strong> Turner Syndrome<br />

E. M. Vicente, L. Caputo, R. Kuhbauche, A. Cobacho, O. Denardin, N.<br />

Gaburo. DASA, Sao Paulo, Brazil<br />

Background: The Turner Syndrome (TS) was first described by Otto Ullrich in<br />

1930, followed by Henry Turner in 1938. The syndrome has an estimated frequency<br />

<strong>of</strong> 1:2,130 live births and presents clinically evident lymphedema <strong>of</strong> hands and feet<br />

in <strong>the</strong> neonatal period, short stature, hypoplastic nails, short metacarpals, gonadal<br />

dysgenesis, leading to delayed pubertal development, primary amenorrhea and<br />

infertility, and o<strong>the</strong>r dysmorphic signs. The variability <strong>of</strong> clinical manifestations<br />

hampers clinical diagnosis <strong>of</strong> TS. Only in 1959, Ford and colleagues described a<br />

chromosomal abnormality (45,X karyotype) relating to some phenotypic features<br />

<strong>of</strong> syndrome. Currently it is considered that <strong>the</strong> definitive diagnosis <strong>of</strong> TS ought<br />

to be made by cytogenetic analysis. The karyotypes findings in TS are monosomy,<br />

mosaicism with or without structural changes on <strong>the</strong> X chromosome and mosaicism<br />

with <strong>the</strong> presence <strong>of</strong> <strong>the</strong> Y chromosome. The karyotype may detect deletions <strong>of</strong> <strong>the</strong><br />

short arm <strong>of</strong> <strong>the</strong> X chromosome (Xp11.2-p22.1) and deletions <strong>of</strong> <strong>the</strong> long arm <strong>of</strong><br />

<strong>the</strong> X chromosome (Xq13-q14); <strong>the</strong> short stature is associated with deletions <strong>of</strong><br />

Xp with ovarian dysgenesis and amenorrhea with Xq deletion. The Y chromosome<br />

in suspected TS requires special attention because <strong>of</strong> <strong>the</strong> possibility <strong>of</strong> developing<br />

gonadoblastoma or dysgerminoma by patients.<br />

Objective: Establish <strong>the</strong> frequency <strong>of</strong> chromosomal abnormalities in a Brazilian TS<br />

patient group and verify if <strong>the</strong> karyotypes findings are consistent with <strong>the</strong> literature.<br />

Methods: Revision <strong>of</strong> chromosomal abnormalities found in 126 patients with<br />

clinically suspected TS from January 2010 to December 2012 in a private laboratory<br />

in <strong>the</strong> state <strong>of</strong> São Paulo, establishing <strong>the</strong> frequency <strong>of</strong> each finding. We analyzed<br />

30-50 metaphases by patient with resolution <strong>of</strong> 400 bands and banding staining G.<br />

Results: The results were described according to <strong>the</strong> ISCN 2009. The findings were<br />

45,X in 37.3% <strong>of</strong> cases; mos45, X/46,X,i(X)(q10) in 15.9%; mos45,X/46,XX in 11.9%;<br />

mos45, XX / 46, XY in 8%; 46,X,i(X)(q10) in 5.5% and mos45,X/46,X,+mar in 5.5%.<br />

Except for <strong>the</strong> karyotype typical ST, 45,X, which in literature occurs in around 50%<br />

<strong>of</strong> suspected cases, all findings are consistent with those already described by o<strong>the</strong>r<br />

authors. According to age, <strong>the</strong> karyotypes more frequent in patients older than 30 years<br />

were mos45, X/46, XX (53%). However, <strong>the</strong> majority <strong>of</strong> chromosomal abnormalities<br />

(71.4%) were concentrated on patients 10-20 years old, with a predominance <strong>of</strong> 45,<br />

X karyotype (74.5%). The presence <strong>of</strong> <strong>the</strong> Y sex chromosome was detected in <strong>the</strong><br />

majority <strong>of</strong> cases (80%) also in <strong>the</strong> group 21-30 years old.<br />

Conclusion: The performance <strong>of</strong> C-banding cytogenetic is a tool that helps in<br />

confirming <strong>the</strong> presence <strong>of</strong> Y chromosome or marker chromosome. Generally, in<br />

cases 45, X should be guide <strong>the</strong> clinical importance <strong>of</strong> studying <strong>the</strong> presence <strong>of</strong> low<br />

or cryptic mosaicism: increasing <strong>the</strong> number <strong>of</strong> metaphases analyzed or analyzing<br />

different tissues. Laboratory confirmation <strong>of</strong> TS is essential for <strong>the</strong> indication <strong>of</strong><br />

surgical or hormonal treatment and appropriate.<br />

A-410<br />

Associations between autoimmune thyroid disease prognosis and<br />

functional polymorphisms <strong>of</strong> susceptibility genes, CTLA4, PTPN22,<br />

CD40, FCRL3, and ZFAT, previously revealed in Genome-wide<br />

association studies<br />

M. WATANABE, N. Inoue, H. Yamada, K. Takemura, F. Hayashi, N.<br />

Yamakawa, M. Akahane, Y. Shimizuishi, Y. Hidaka, Y. Iwatani. Osaka<br />

University Graduate School <strong>of</strong> Medicine, Suita, Japan<br />

Background: Genome-wide association studies have revealed several susceptibility<br />

genes among patients with autoimmune thyroid disease (AITD), including CTLA4,<br />

PTPN22, FCRL3, and ZFAT. However, any possible association between <strong>the</strong>se genes<br />

and AITD prognosis remains unknown. The objective <strong>of</strong> this study was to identify<br />

associations between polymorphisms <strong>of</strong> <strong>the</strong>se genes and AITD prognosis.<br />

Methods: We genotyped functional polymorphisms, including CTLA4 CT60<br />

(rs30807243), CTLA4 +49A/G (rs231775), CTLA4 -1147C/T (rs16840252), CTLA4<br />

-318C/T (rs5472909), PTPN22 -1123C/G (rs2488457), PTPN22 SNP37 (rs3789604),<br />

CD40 -1C/T (rs1883832), FCRL3 -169C/T (rs7528684), ZFAT Ex9b-SNP10<br />

(rs16905194), and ZFAT Ex9b-SNP2 (rs1036819), in 197 AITD patients carefully<br />

selected from 456 registered AITD patients, and 86 control subjects. The restriction<br />

fragment length polymorphism method was used for genotyping.<br />

Results: The CD40 -1CC genotype and C allele were significantly more frequent in<br />

patients with Graves’ disease (GD) in remission than in those with intractable GD<br />

(P=0.041 and P=0.031, respectively). The FCRL3 -169TT genotype was significantly<br />

less frequent in patients with intractable GD than in those with GD in remission<br />

(P=0.0324). For a ZFAT Ex9b-SNP10 polymorphism, <strong>the</strong> TT genotype and T allele<br />

were significantly more frequent in patients with severe Hashimoto’s disease (HD)<br />

than in those with mild HD (P=0.0029 and P=0.0049, respectively). For a CTLA4<br />

CT60 polymorphism, <strong>the</strong> antithyrotropin receptor antibody levels at <strong>the</strong> onset <strong>of</strong> GD<br />

were significantly higher in those with <strong>the</strong> GG genotype than in those with o<strong>the</strong>r<br />

genotypes (P=0.0117). Results are summarized in Table.<br />

Conclusion: CD40 and FCRL3 gene polymorphisms were associated with GD<br />

intractability, and ZFAT polymorphism was associated with HD severity but not its<br />

development.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A123


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

A-411<br />

Diabetes Risk Stratification by a Multivariate Index Comprising Only<br />

Parameters Derived from a Single NMR Spectrum <strong>of</strong> Plasma<br />

J. Otvos, I. Shalaurova, K. Mercier, T. O’Connell. LipoScience, Raleigh,<br />

NC<br />

Background: Risk <strong>of</strong> progression to Type 2 diabetes is assessed primarily by fasting<br />

glucose measurements, with concentrations 100-125 mg/dL identifying those with<br />

“pre-diabetes”. However, many high-risk individuals have glucose levels 0.05). However, we have found weak but significant<br />

correlation between HBsAg and age (p0.05). Due to HBsAg syn<strong>the</strong>sis and HBV DNA replication from different pathway<br />

in hepatocytes that <strong>the</strong> two markers, HBsAg and HBV-DNA, are not significantly<br />

correlated in patients with hepatitis virus infected. Maybe mutations <strong>of</strong> HBV DNA<br />

caused <strong>the</strong> protein structure changes which used <strong>the</strong> Abbott ARCHITECT i2000<br />

System can not measure <strong>the</strong> concentration <strong>of</strong> HBsAg.<br />

Conclusion: In summary, our study indicates that HBsAg levels and HBV DNA<br />

concentrations in patients with hepatitis are not significantly correlated.<br />

A-416<br />

Serum Beta 2-Microglobulin and Cystatin C As Early Markers for<br />

Renal Dysfunction<br />

M. T. Rodriguez 1 , G. B. Dayrit 1 , S. V. Lumanga 1 , R. W. Lo 2 . 1 Trinity<br />

University <strong>of</strong> Asia, Quezon City, Philippines, 2 St. Luke’s Medical Center,<br />

Quezon City, Philippines<br />

Background: Nephropathy is one <strong>of</strong> <strong>the</strong> major complications <strong>of</strong> diabetes mellitus and<br />

causes premature deaths among diabetic patients. The alarming rise in <strong>the</strong> mortality<br />

rate <strong>of</strong> diabetics globally due to this complication is <strong>the</strong> foremost concern <strong>of</strong> this<br />

undertaking. This study aimed to determine <strong>the</strong> serum levels <strong>of</strong> beta 2-microglobulin<br />

and Cystatin C among diabetics, as early markers <strong>of</strong> kidney dysfunction. It sought<br />

to find if Cystatin C, a low molecular weight plasma protein which is normally<br />

being filtered by <strong>the</strong> glomeruli, totally reabsorbed and catabolized in <strong>the</strong> proximal<br />

convoluted tubule <strong>of</strong> <strong>the</strong> kidneys, can detect renal insufficiency earlier than blood urea<br />

nitrogen and serum creatinine. Beta 2-microglobulin (b2m), ano<strong>the</strong>r protein in which<br />

plasma level is also being maintained by <strong>the</strong> kidneys, was also included in this study.<br />

Pearson coefficient correlation was used for statistical analysis.<br />

Method: One hundred diabetic participants without renal dysfunction were selected<br />

by purposive sampling. A control group composed <strong>of</strong> nondiabetics with <strong>the</strong> same<br />

gender and age bracket as <strong>the</strong> test group was also included. Fasting blood glucose,<br />

blood urea nitrogen (BUN), serum creatinine, b2m and Cystatin C were measured<br />

using <strong>the</strong> reagents from Abbott Diagnostics and its equipment, <strong>the</strong> Architect c4000.<br />

Results: Computed r-values <strong>of</strong> -0.118 (0.224) for fasting glucose and 0.195 (0.052)<br />

for urea nitrogen imply that <strong>the</strong> two parameters are not significantly related to <strong>the</strong> level<br />

<strong>of</strong> serum cystatin. However, computed r-value <strong>of</strong> 0.526 (0.000) for creatinine indicates<br />

that when creatinine level increases cystatin also increases, while <strong>the</strong> 0.766 (0.000)<br />

for b2m shows that <strong>the</strong>re is a great possibility that when b2m is elevated, <strong>the</strong> cystatin<br />

<strong>of</strong> diabetic patients is also high. Also, serum levels <strong>of</strong> cystatin were elevated in 27%<br />

<strong>of</strong> <strong>the</strong> total diabetic participants, while 19% have increased beta 2-microglobulin, that<br />

is, in <strong>the</strong> presence <strong>of</strong> normal blood urea nitrogen and serum creatinine. Moreover,<br />

using Bevc formula (90.63 x cystatin C-1.192), 25% <strong>of</strong> <strong>the</strong> diabetic participants have<br />

eGFR below 90 mL/min/1.73m2, a vivid reflection <strong>of</strong> mild to moderate decrease in<br />

renal function.<br />

Conclusion: The findings suggest that serum beta 2-microglobulin and cystatin C<br />

are early markers for kidney dysfunction in cases <strong>of</strong> incipient diabetic nephropathy,<br />

as seen in increased levels <strong>of</strong> <strong>the</strong>se serum proteins, with normal levels <strong>of</strong> <strong>the</strong> routine<br />

kidney markers’ BUN and creatinine. Fur<strong>the</strong>r, <strong>the</strong> results also imply that <strong>the</strong> inclusion<br />

<strong>of</strong> new B (beta 2-microglobulin) and C (cystatin C) kidney function tests which could<br />

identify mild renal insufficiency would surely become a cornerstone <strong>of</strong> diabetes care.<br />

A-419<br />

Karyotype analysis in patients with recurrent miscarriages<br />

A. Castilho 1 , N. Gaburo 1 , m. J. Camilo 1 , D. Abreu 2 . 1 DASA, Sao Paulo<br />

Brasil, Brazil, 2 DASA, Rio de Janeiro, Brazil, Brazil<br />

Background: Recurrent miscarriages are usually associated with genetic factors.<br />

Thus, couples should always be investigated after <strong>the</strong> third abortion when <strong>the</strong>re<br />

was no o<strong>the</strong>r factor such as trauma or thrombophilias. Fur<strong>the</strong>rmore, 6% <strong>of</strong> couples<br />

A124 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Clinical Studies/Outcomes<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

with recurrent abortion <strong>of</strong>ten have chromosomal abnormalities such as balanced<br />

translocations, or aneuploidy polymorphisms. In <strong>the</strong>se cases, when a parent is a<br />

carrier <strong>of</strong> chromosomal rearrangement, <strong>the</strong> probability an abortion occurrence varies<br />

between is 25 to 50%.<br />

Objective: The aim <strong>of</strong> this study was identify <strong>the</strong> chromosomal abnormalities in<br />

patients with recurrent abortions attended in our service from March 2012 to January<br />

<strong>2013</strong> using <strong>the</strong> conventional cytogenetic methodology.<br />

Methods: We evaluated 623 patients with clinical indication <strong>of</strong> recurrent abortion<br />

(389 female and 234 male). The mean age was 37 years (25-50 years) for men and<br />

35 years (22-46 years) among women. Cytogenetic analysis was performed on<br />

metaphase chromosomes obtained by lymphocytes culture from peripheral blood and<br />

using Case Data Manager System (Applied Spectral Imaging Ltd.).<br />

Results: Twenty three samples (3.7%) presented chromosomal alterations <strong>of</strong> which<br />

10 (1.60%) showed structural changes such as balanced translocations and 13 (2.1%)<br />

had karyotype polymorphisms. Among <strong>the</strong> polymorphisms, <strong>the</strong> alterations observed<br />

were: pericentric inversion <strong>of</strong> chromosome 9 in seven patients (53.8%), increased<br />

satellite on chromosome 22 in three patients (23.1%), increased heterochromatin on<br />

chromosome 9 in two cases (15.4%) and increased heterochromatin on chromosome<br />

1 in one patient (7,7%). Among patients who had chromosomal abnormalities, seven<br />

were female and three were male. Regarding to polymorphism seven patients were<br />

female patients and six (6) were male patients.<br />

Conclusion: In this study, chromosomal abnormalities and polymorphisms showed<br />

similar frequency. Cytogenetic analysis is an important tool in aid <strong>of</strong> diagnosis and<br />

prognosis definition, helping to define <strong>the</strong> procedure for genetic counseling, given that<br />

<strong>the</strong> presence <strong>of</strong> chromosomal abnormality may lead to <strong>the</strong> development <strong>of</strong> abnormal<br />

zygote resulting in miscarriage as consequence.<br />

A-420<br />

Oxidative stress index and levels <strong>of</strong> paraoxonase -1 in people with<br />

coronary artery disease identified by multislice computed tomography<br />

n. -. eren 1 , S. Yayla 1 , S. Cigerli 1 , C. Kırma 2 , E. Senem 1 . 1 şişli etfal trainig<br />

and research hospital, İstanbul, Turkey, 2 Kosuyolu trainig and research<br />

hospital, İstanbul, Turkey<br />

Key Word: Coronary artery desease, oxidative stress,Paraoxanase family<br />

Background: Recent studies with <strong>the</strong> aim <strong>of</strong> reducing <strong>the</strong> high mortality rates in<br />

Coronary Artery Disease (CAD) and determining <strong>the</strong> degree <strong>of</strong> coronary stenosis<br />

before <strong>the</strong> symptoms suggest that biochemical assestments play a prominent role.<br />

Methods: In our study,we performed Multislice Computed Tomography (MSCT) to<br />

76 people and we determined that 43 people <strong>of</strong> <strong>the</strong>m had coronary artery disease.<br />

Total antioxidant status (TAS), total oxidant status (TOS), oxidative stress index<br />

(OSI), paraoxonase (PON1) and arylesterase (ARE) levels <strong>of</strong> all subjects included<br />

in <strong>the</strong> study were analyzed. TAS, TOS; was measured by <strong>the</strong> method <strong>of</strong> Erel (Rel<br />

Assay Diagnostics, Turkey). PON and aryl esterase enzyme activities was determined<br />

spectrophotometrically (Rel Assay Diagnostics, Turkey).<br />

Results: In our study, mean values <strong>of</strong> TAS in patients with CAD (1.83 ± 0.46) was<br />

statistically significantly lower (p = 0.029) than in patients without CAD(2.05 ±<br />

0.36). Mean values <strong>of</strong> TOS (28.68 ± 15.6, 11.25 ± 5.05) was significantly higher,<br />

respectively (p = 0.001). Median values <strong>of</strong> OSI which is obtained from <strong>the</strong> rate <strong>of</strong><br />

TOS to TAS were significantly higher in patients with CAD (p = 0.001). According to<br />

Agatstron classification, TAS levels in <strong>the</strong> cases without calcified plaque (2.05 ± 0.36)<br />

were significantly higher (p = 0.042) than in patients with high-calcified plaque (1.75<br />

± 0.46). TOS levels in patients with light+mid-level and high-level <strong>of</strong> calcified plaque<br />

(11.25 ± 5.05, 27.23 ± 15.67, 30.12 ± 15.77) were significantly lower (p = 0.001),<br />

respectively and ODI levels were significantly lower in patients with calcified plaque<br />

(p = 0.001), were detected. OSI values in patients with coronary artery disease were<br />

significantly higher than patients without CAD. According to vessel situations, <strong>the</strong><br />

same findings were analyzed. These results show that <strong>the</strong> processes <strong>of</strong> oxidative stress<br />

is responsible in <strong>the</strong> formation <strong>of</strong> plaque in coronary arteries. There is no significant<br />

difference between <strong>the</strong> groups at PON levels (p> 0.05). ARE levels <strong>of</strong> patients without<br />

calcified plaque were found significantly higher than patients with light + mediumlevel<br />

and high-level calcified plaque (p = 0.001).<br />

Conclusions: Our study showed that <strong>the</strong>re is no significant difference between patients<br />

with and without CAD at levels <strong>of</strong> oxidative stress and arylesterase activity. This<br />

difference suggests that coronary artery disease was subjected to a severe oxidative<br />

stress. We conclude that oxidative stress levels and arylesterase activity could be used<br />

as an indicator for <strong>the</strong> development <strong>of</strong> calcified plaque and stenosis state.<br />

A-421<br />

Evaluation <strong>of</strong> a new workflow for syphilis screening using Brazilian<br />

guidelines<br />

D. Panisa, V. Alastico, I. C. Almeida, S. Mendonça, O. Denardin, N.<br />

Gaburo. DASA, Sao Paulo, Brazil<br />

Background: Treponema pallidum, <strong>the</strong> agent <strong>of</strong> syphilis infection leads to <strong>the</strong><br />

production <strong>of</strong> specific (treponemal) and non-specific (non-treponemal) antibodies. In<br />

our service, <strong>the</strong> screening for syphilis infection was done using RPR (rapid plasma<br />

reagin), a non-treponemal assay. If positive, ELISA and FTA-Abs (treponemal tests)<br />

were performed. The increased number <strong>of</strong> syphilis tests requested an automated<br />

methodology for initial screening as CMIA (Chemiluminescent microparticle<br />

immunoassay), a high sensitivity treponemal test.<br />

Objective: Implement a new workflow for screening and diagnosis <strong>of</strong> syphilis starting<br />

<strong>the</strong> process with a treponemal test (CMIA) followed by a non treponemal test (RPR).<br />

Methods: We analyzed serum samples from 1,000 patients using commercial kits<br />

Architect Syphilis TP for CMIA (Abbott, Tokyo, Japan) and RPR - Rapid Bras Plasm<br />

Reagin (Laborclin, Paraná, Brazil). Both tests were performed according to <strong>the</strong><br />

manufacturer’s recommendations. For discrepant results between CMIA and RPR,<br />

two treponemic assays were also performed: Treponema pallidum hemagglutination-<br />

TPHA (Fujirebio, Tokyo, Japan) and FTA-Abs (Simedix, New Jersey, USA). In<br />

our study, we followed <strong>the</strong> Brazilian guidelines <strong>of</strong> <strong>the</strong> ordinance CCD-25 from<br />

07.18.2011.The results obtained were interpreted qualitatively as positive, negative<br />

and inconclusive.<br />

Results: The results are described in Table 1.<br />

Table 1. Results <strong>of</strong> tests performed for screening and diagnosis <strong>of</strong> syphilis.<br />

CMIA RPR TPHA FTA-abs Total<br />

+ + N.A N.A 44.80%<br />

+ - + + 9.10%<br />

+ - - - 4.20%<br />

- - N.A N.A 32.90%<br />

INC - + + 1.50%<br />

INC - + - 4.00%<br />

INC - - + 2.00%<br />

INC - - - 1.50%<br />

Legend: +: Positive result; -: Negative result; INC: inconclusive result; N.A: not<br />

applied.<br />

Conclusion: CMIA and RPR showed agreement <strong>of</strong> 77.7%. The CMIA test showed<br />

higher detection rate <strong>of</strong> positive samples than RPR, confirmed by TPHA and FTA-abs<br />

in 9.10% <strong>of</strong> samples. Inconclusive results in CMIA test (9.0%) may be attributed to<br />

<strong>the</strong> window period and false-positive results. We concluded that CMIA as initial test<br />

is highly sensitive and optimized and RPR should be still performed in CMIA positive<br />

samples.<br />

A-422<br />

Enhanced Liver Fibrosis (ELF) panel in <strong>the</strong> evaluation <strong>of</strong> several<br />

chronic liver diseases<br />

A. Dellavance 1 , F. F. Fernandes 2 , D. C. Baldo 1 , E. L. Neto 3 , E. Oliveira 4 , J.<br />

M. Camargo 1 , L. Borzacov 4 , R. M. Perez 2 , L. E. C. Andrade 4 , M. L. C. G.<br />

Ferraz 4 . 1 Fleury Medicine and Health, São Paulo, Brazil, 2 Universidade<br />

Federal do Rio de Janeiro, Rio de Janeiro, Brazil, 3 Universidade Federal<br />

de Pernambuco, Pernambuco, Brazil, 4 Universidade Federal de São<br />

Paulo, São Paulo, Brazil<br />

Background: Hepatic fibrosis characterizes <strong>the</strong> natural history <strong>of</strong> chronic liver diseases<br />

and is considered a marker <strong>of</strong> disease progression to cirrhosis and its complications.<br />

Liver biopsy is <strong>the</strong> gold standard for semi-quantitative staging <strong>of</strong> fibrosis, although its<br />

accuracy is questionable. In addition to being an invasive procedure that poses a risk<br />

to <strong>the</strong> patient, <strong>the</strong> hepatic fragment is not always representative <strong>of</strong> <strong>the</strong> overall fibrotic<br />

process. Some non-invasive alternatives have been proposed for detecting hepatic<br />

fibrosis, including serum biochemical markers and direct ultrasound imaging. The<br />

literature has recently emphasized <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> ELF (Enhanced Liver Fibrosis)<br />

score, which is based on <strong>the</strong> quantification <strong>of</strong> hyaluronic acid (HA), procollagen III<br />

amino terminal peptide (PIIINP), and tissue inhibitor <strong>of</strong> metalloproteinase 1 (TIMP-<br />

1) in serum samples. The aim <strong>of</strong> <strong>the</strong> present study is to evaluate <strong>the</strong> degree <strong>of</strong> liver<br />

fibrosis according to <strong>the</strong> ELF score in several chronic liver diseases.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Studies/Outcomes<br />

Methods: We evaluated 592 serum samples, from patients with <strong>the</strong> following diseases:<br />

HCV (n=266); Autoimmune Hepatitis (n=110); Schistosomiasis (n=109); Pre-Clinical<br />

Primary Biliary Cirrhosis (n=49); Established Primary Biliary Cirrhosis (n=29) and<br />

Delta Hepatitis (n=29). Serum samples were frozen at -70ºC within an interval no<br />

longer than 3 hours after blood collecting. PIIINP, HA, and TIMP-1 were measured in<br />

all patients by a CE-marked, random-access, automated clinical immunoassay system<br />

that uses magnetic particle separation technology with direct chemiluminescence<br />

(ADVIA Centaur®, Siemens Healthcare Diagnostics, Tarrytown, NY, USA). The<br />

ELF score was calculated using <strong>the</strong> algorithm: ELF = 2.278 + 0.851 ln(HA) + 0.751<br />

ln(PIIINP) + 0.394 ln(TIMP-1). Cut-<strong>of</strong>f points proposed by <strong>the</strong> manufacturer were<br />

applied: < 7.7 absent or mild fibrosis, ≥ 7.7 and < 9.8 moderate fibrosis and ≥ 9.8<br />

severe fibrosis.<br />

Results: ELF score was able to detect some degree <strong>of</strong> fibrosis in <strong>the</strong> majority <strong>of</strong><br />

individuals with all forms <strong>of</strong> chronic liver diseases in this study. However, <strong>the</strong>re<br />

was considerable variability in <strong>the</strong> severity <strong>of</strong> liver fibrosis according to <strong>the</strong> etiology<br />

<strong>of</strong> liver disease. Autoimmune Hepatitis exhibited <strong>the</strong> highest and Delta Hepatitis<br />

exhibited <strong>the</strong> lowest frequency <strong>of</strong> severe ELF score (53.63%; mean 11.8±1.18 and<br />

6.9%; mean 10.62±0.82; respectively). Established Primary Biliary Cirrhosis,<br />

Chronic Hepatitis C and Schistosomiasis were intermediate in frequency <strong>of</strong> severe<br />

ELF score (31.0%; mean 10.65±0.48; 30.8%; mean 10.7±0.89 and 27.7%; mean<br />

10.59±0.65, respectively). Interestingly, <strong>the</strong> group <strong>of</strong> patients with Pre-Biochemical<br />

stages <strong>of</strong> Primary Biliary Cirrhosis showed a considerably better ELF score pr<strong>of</strong>ile<br />

(14.3%; mean 7.0± 0.49). However, it was clear that even <strong>the</strong>se individuals already<br />

presented some degree <strong>of</strong> liver fibrosis, not associated with alterations in serum levels<br />

<strong>of</strong> alkaline phosphatase.<br />

Conclusion: This preliminary evaluation showed <strong>the</strong> promising potential <strong>of</strong> <strong>the</strong> noninvasive<br />

ELF method for estimating <strong>the</strong> degree <strong>of</strong> liver fibrosis in distinct chronic<br />

liver diseases. The spectrum <strong>of</strong> fibrosis severity observed reflects <strong>the</strong> expected<br />

heterogeneity in <strong>the</strong> fibrotic component in <strong>the</strong> several forms <strong>of</strong> chronic liver disease.<br />

A-423<br />

Prognostic accuracy for all-cause mortality <strong>of</strong> a biomarkers panel<br />

in elderly hospitalized patients with suspected lower respiratory<br />

tract infection focused on procalcitonin and mid-regional proadrenomedullin<br />

M. Zaninotto 1 , M. M. Mion 1 , G. Bragato 1 , D. Faggian 1 , M. Miolo 2 , A.<br />

Dainese 3 , P. Carraro 2 , A. Pilotto 3 , M. Plebani 1 . 1 Department <strong>of</strong> Laboratory<br />

Medicine, University-Hospital, Padova, Italy, 2 Department <strong>of</strong> Laboratory<br />

Medicine, Azienda ULSS 16, S. Antonio Hospital, Padova, Italy, 3 Geriatrics<br />

Unit, Azienda ULSS 16 Padova, S. Antonio Hospital, Padova, Italy<br />

Background: The aim <strong>of</strong> <strong>the</strong> study was to assess <strong>the</strong> prognostic accuracy for all-cause<br />

mortality <strong>of</strong> a panel <strong>of</strong> routine and new biomarkers (mid-regional pro-adrenomedullin,<br />

MR-proADM; procalcitonin, PCT) in a population <strong>of</strong> elderly subjects hospitalized for<br />

suspected lower respiratory tract infection (LRTI). MR-proADM is a new diagnostic<br />

parameter for outcome prediction in patients (pts) with acute congestive hearth failure<br />

and/or with dyspnea in general; fur<strong>the</strong>rmore it is particularly strong in predicting<br />

short-term prognosis within 30 days after assessment. PCT increases early and<br />

specifically in response to clinically relevant bacterial infections and sepsis; it is an<br />

important aid in <strong>the</strong> differentiation between bacterial infection and o<strong>the</strong>r causes <strong>of</strong><br />

inflammatory reaction.<br />

Methods: From 20/2/12 to 23/7/12, 50 patients were hospitalized to <strong>the</strong> Geriatrics<br />

Unit <strong>of</strong> our hospital with a suspect <strong>of</strong> LRTI [24 females (F), 26 males (M); age:<br />

range, median=67-102, 86 years]. At <strong>the</strong> follow-up monitoring (3/10/12), 28 pts<br />

(56%) survived (group “alive”) (14 F, 14 M), and 22 pts (44%) died (group “dead”)<br />

(10 M, 12 F). The mean hospital stay was 9 days (range, median=1-30, 7). Death<br />

occurred on average 26 days after discharge (range, median=0-162, 12). We<br />

evaluated, Clinical characteristics: 1-Primary discharge diagnosis; 2-Concomitant<br />

discharge diagnosis; 3-Fever (>37° C), CF and O2 saturation; 4-Multidimensional<br />

prognostic index, MPI: a validated frailty instrument, significantly correlated with<br />

short and long-term mortality in hospitalized older pts (grade <strong>of</strong> risk: low -L-, ≤0.33;<br />

moderate -M-, 0.34-0.66; severe -S-, ≥ 0.66). Biochemical parameters: A- Routine<br />

biomarkers: WBC, CRP, ESR, CRE; B- New biomarkers: MR-proADM and PCT<br />

(automated immun<strong>of</strong>luorescent assay, Thermo Fisher), manufacturer declared URL<br />

in healthy subjects, respectively: 0.55 nmol/L (97.5 % percentile) and 0.064 μg/L (95<br />

% percentile). Routine biomarkers were evaluated at hospitalization, while PCT and<br />

MR-proADM have been monitored at 4 different time points: admission (T 0), 24<br />

hours (T 1), 72 hours (T 2) and than 5-6 days (T 3).<br />

Results: 1-Primary discharge diagnosis (n pts, %): LRTI (26, 52%), cardiac<br />

diseases (12, 24%), respiratory diseases o<strong>the</strong>r than LRTI (4, 8%), o<strong>the</strong>r (8, 16%).<br />

2-Concomitant discharge diagnosis (n pts, %): LRTI (13, 26%), cardiac diseases (29,<br />

58%), neurologic disorders (18, 36%), muscle disorders (16, 32%), gastroenteric<br />

disease (8, 16%), pulmonary insufficiency and BPCO (6, 12%), o<strong>the</strong>r (20, 40%).<br />

3-Fever: “alive” vs “dead”=61 vs 32%; 4-MPI “alive” vs “dead” (Mann Whitney,<br />

p=0.08): L+M=54%, S=46% (“alive”); L+M=32%, S=68% (“died”). A-Mann<br />

Whitney (p): n.s. for all parameters. B- “alive” vs “dead”, Mann Whitney (p): MRproADM<br />

(0.01), PCT (0.07). The first two points (T0 and T1) were found to be more<br />

related with <strong>the</strong> clinical course.<br />

Conclusions: The most frequent primary and concomitant discharge diagnosis was<br />

LRTI and cardiac diseases, respectively. Among clinical characteristics fever differed<br />

significantly between “alive” and “dead” pts. MPI levels as well as MR-proADM<br />

and PCT concentrations showed a different distribution between “alive” and “dead”<br />

pts, even if not always statistically significant; MPI results <strong>the</strong> most important frailty<br />

instrument for <strong>the</strong> studied population, even if MR-proADM and PCT are two strong<br />

additional aid in predicting death.<br />

A-424<br />

THE ROLE OF CALPROTECTIN AND GHRELIN IN DIAGNOSIS<br />

OF POST ERCP PANCREATITIS<br />

F. M. El Shanawani, M. M. Hasan. Theodor Bilharz Research Institute,<br />

Cairo, Egypt<br />

Acute pancreatitis is a common and dreaded complication <strong>of</strong> endoscopic retrograde<br />

cholangiopancreatography (ERCP) patients. The study identified <strong>the</strong> incidence <strong>of</strong><br />

post ERCP pancreatitis and role <strong>of</strong> serum calprotectin and ghrelin in its diagnosis.<br />

One hundred forty two patients underwent ERCP-related procedures were studied.<br />

Serum amylase, lipase, calprotectin and ghrelin concentrations were measured 24<br />

hours after <strong>the</strong> procedure using ELISA, kinetic and colorimetric methods. Thirty<br />

two healthy controls were enrolled. In post ERCP group, mean level <strong>of</strong> amylase<br />

was 146.03+57.40 U/L, lipase 328.37+133.95 U/L, calprotectin 3.26+2.99 U/L and<br />

gherkin 2.56+1.76 mg/l. In controls mean level <strong>of</strong> amylase was 58.13+/-15.96U/L,<br />

lipase 181.63+/- 51.94 U/L, calprotectin 0.49+/-0.17U/L and ghrelin 2.59+/-0.19<br />

mg/l. A statistical significant increase was reported (p


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-425<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

TDM/Toxicology/DAU<br />

Detection and Quantification <strong>of</strong> Syn<strong>the</strong>tic Cathinones by LC/Triple<br />

Quadrupole Mass Spectrometry<br />

F. Mbeunkui, J. V. Wiegel, R. B. Dixon. Physicians Choice Laboratory<br />

Services, Charlotte, NC<br />

Background: Many <strong>of</strong> <strong>the</strong> new psychoactive substances remain unfamiliar to health<br />

care providers. Syn<strong>the</strong>tic cathinones, commonly called “bath salts,” have resulted<br />

in emergency department visits nationwide for severe agitation, sympathomimetic<br />

toxicity, and death. The objective <strong>of</strong> this study was to develop a sensitive, specific<br />

and rapid liquid chromatography-tandem mass spectrometry method to detect and<br />

quantify syn<strong>the</strong>tic cathinones in urine samples.<br />

Methods: Urine samples were prepared by solid phase extraction in a 96-deepwell<br />

SPE-plate after pretreatment with β-glucuronidase enzyme. Urine samples<br />

were analyzed by LC-MS/MS using an Agilent LC/Triple quadrupole instrument.<br />

Chromatographic separation was carried out in a Poroshell 120-SB-C18 column with<br />

99.9% water, 0.05% formic acid and 0.05% ammonium formate as mobile phase A;<br />

and 99.95% acetonitrile and 0.05% formic acid as mobile phase B. The column was<br />

eluted with a 2 min gradient from 5-95% B. Mass spectral data were obtained in<br />

positive electrospray mode. Detection and quantitation were performed by MRM <strong>of</strong><br />

two transitions for each analyte and one transition for each internal standard.<br />

Results:Calibration curves generated for syn<strong>the</strong>tic cathinones (10-640 ng/mL) with<br />

duplicate injections using 1/x weighting showed a good linearity (R2 ≥ 0.99). The<br />

average accuracy at 10 ng/mL was 99.7%. The limit <strong>of</strong> quantification was 10 ng/mL<br />

for all compounds and <strong>the</strong> limit <strong>of</strong> detection was 4 ng/mL for all compounds except<br />

for methylenedioxypyrovalerone and methylone (3 ng/mL). The matrix effect was<br />

found to be less than 20% <strong>of</strong> <strong>the</strong> nominal values for all compounds. This method was<br />

applied to <strong>the</strong> screening and quantification <strong>of</strong> syn<strong>the</strong>tic cathinones in patient urine<br />

samples from suspected patients. Six samples out <strong>of</strong> nearly 500 investigated were<br />

tested positive for syn<strong>the</strong>tic cathinones (methylone 70-245 ng/mL and methcathinone<br />

15-170 ng/mL).<br />

Conclusion:The validated LC-MS/MS method described here <strong>of</strong>fers highly sensitive<br />

and rapid detection and quantification <strong>of</strong> syn<strong>the</strong>tic cathinones in urine.<br />

A-427<br />

Development and validation <strong>of</strong> a HPLC-UV method for <strong>the</strong><br />

quantification <strong>of</strong> three anti fungal agents in human serum<br />

L. R. Sanches, L. G. B. Toni, J. Pasternak, A. C. L. Faulhaber, T. Romanatto,<br />

E. V. Almeida, C. E. S. Ferreira. Hospital Albert Einstein, São Paulo, Brazil<br />

Background: Invasive fungal infections are one <strong>of</strong> <strong>the</strong> most common causes <strong>of</strong><br />

morbidity and mortality in immunocompromised patients. In recent years, <strong>the</strong><br />

antifungal <strong>the</strong>rapy has expanded and <strong>the</strong> clinicians have <strong>the</strong> opportunity to choose<br />

from several antifungal classes but <strong>the</strong>y need accurate methods for drugs monitoring<br />

during <strong>the</strong> treatment. Simultaneous determination <strong>of</strong> different antifungal is desirable<br />

as a way to obtain fast results using small samples.<br />

Methods: The purpose <strong>of</strong> this study was to develop and validate an ultraperformance<br />

liquid chromatography with ultraviolet detection (HPLC-UV) method to<br />

simultaneously monitor <strong>the</strong> concentration <strong>of</strong> voriconazole (VOR), itraconazole (ITR)<br />

and posaconazole (POS) in human serum. Samples were prepared using a liquid-liquid<br />

extraction with diethyl e<strong>the</strong>r (0.5 and 2.5 mL, respectively). HPLC-UV analysis were<br />

performed using an Agilent 1290 Infinity System equipped with Eclipse Plus C18 (50<br />

mm x 2.1 mm; 1.8 μm) column. The analysis was achieved with a gradient elution<br />

using water and methanol (60:40, v/v) as <strong>the</strong> mobile phase at 0.7 mL/min flow rate.<br />

The internal standard (voriconazole compound related D, USP 1718041) was used at 4<br />

μg/mL. The wavelength and <strong>the</strong> injection volume were 256 nm and 4 μL respectively.<br />

Results: The method validation assays were performed according to <strong>the</strong> currently<br />

accepted RE 899 Anvisa Bioanalytical Validation Guide. The linearity range validated<br />

for VOR was 0.25 to 16 μg/mL and 0.25 to 8 μg/mL for ITR and POS. Weighted least<br />

square linear regressions using <strong>the</strong> weighting factor <strong>of</strong> 1/y 2 resulted in correlation<br />

coefficients above 0.99. The average accuracy ranged from 108% to 113% to VOR,<br />

86% to 100% to ITR and 111% to 113% to POS and <strong>the</strong> coefficient <strong>of</strong> variation (CV)<br />

interday precise ranged from 4.5% to 6.8%, 4.5% to 4.7% and 4.9 to 6.2 to VOR, ITR<br />

and POS respectively. The CV intra-day precise ranged from 1.7 to 6.2, 1.1 to 9.5<br />

and 0.6 to 8.6 to VOR, ITR and POS respectively. The limit <strong>of</strong> quantification (LOQ)<br />

and <strong>the</strong> limit <strong>of</strong> detection (LOD) were 0.25 μg/mL and 0.125 μg/mL, respectively for<br />

all analytes. The extraction recovery was 71.3%, 78.7% and 90.3% for VOR, ITR<br />

and POS respectively. The analyte stability was assessed under storage conditions as<br />

follows: room temperature for 4 and 24 hours, 4 o C for 3 days, -20 o C followed by<br />

thawing at room temperature (3 cicles) and post preparative stability. The hemolyzed<br />

and lipemic samples showed interference in selectivity assay just for POS.<br />

Conclusion: The validation results indicate that <strong>the</strong> method is accurate, precise,<br />

sensitive, selective and reproducible.<br />

A-429<br />

Development <strong>of</strong> a Rapid LC/MS/MS Method for 46 Drugs <strong>of</strong> Abuse<br />

Screening in Urine<br />

L. Yang 1 , G. Ball 2 , G. Hoag 1 . 1 Vancouver Island Health Authority and<br />

Faculty <strong>of</strong> Medicine, University <strong>of</strong> British Columbia, Victoria, BC, Canada,<br />

2<br />

Vancouver Island Health Authority, Victoria, BC, Canada<br />

Background: Drugs <strong>of</strong> abuse screening in urine is used to monitor compliance<br />

and evaluate patients in <strong>the</strong> emergency room. Immunoassays are commonly used<br />

for screening but have a limited scope <strong>of</strong> target compounds and lack sensitivity<br />

and specificity. Liquid chromatography tandem mass spectrometry (LC/MS/MS)<br />

can provide high sensitivity and specificity to targeted drug screening and has been<br />

increasingly used in clinical laboratories. The objective is to develop a rapid LC/MS/<br />

MS screening method to replace our current immunoassay screening method for drugs<br />

<strong>of</strong> abuse (DOA) and provide confirmations.<br />

Methods: Sample preparation involves adding 100 μL <strong>of</strong> methanol with internal<br />

standards morphrine-d3 and diazepam-d5 to 100 μL <strong>of</strong> urine or controls, followed<br />

by vortex mixing and centrifugation. Then, 100μL <strong>of</strong> supernatant is diluted with<br />

400 μL <strong>of</strong> water and 20 μL <strong>of</strong> <strong>the</strong> dilution is injected for analysis by a Shimadzu<br />

Prominence HPLC system and AB SCIEX 4000 QTRAP mass spectrometer with<br />

electrospray ionization in positive polarity. We set up a targeted urine drug screen for<br />

46 drugs or drug metabolites using our modified AB SCIEX iMethod with gradient<br />

elution (6.6 min run time). The method consists <strong>of</strong> a multiple reaction monitoring<br />

(MRM) survey scan and an information-dependant acquisition (IDA) triggered<br />

dependent enhanced product ion scan (EPI). A MRM survey scan is used to identify<br />

potential drugs. The EPI spectrum can be searched against a drug screen library for<br />

compound confirmation. Generally, we use <strong>the</strong> combination spectral purity match<br />

(>70%), a retention time window (± 0.1 min) and medication use by <strong>the</strong> patient to<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

report positive results. For ten drugs (Amphetamine, Benzoylecgonine, MDEA,<br />

Methadone, Methamphetamine, Morphine, Nortriptyline, Oxazepam, Oxycodone,<br />

and THC-COOH) with an established immunoassay cut-<strong>of</strong>f, we determined an area<br />

count corresponding to a level equal to minus 50% <strong>of</strong> <strong>the</strong> immunoassay cut<strong>of</strong>f by<br />

spiking urines with standards at <strong>the</strong> defined concentrations.<br />

Results: The reproducibility <strong>of</strong> <strong>the</strong> method in terms <strong>of</strong> purity values is determined<br />

by analyzing DOA urine toxicology liquid controls containing <strong>the</strong> ten drugs. Intraassay<br />

and inter-assay precision were 1-12% and 1-14%, respectively. Assay carryover<br />

is less than 0.1% for nine drugs and 1.2% for nortriptyline at 10x cut<strong>of</strong>f level. A<br />

comparison <strong>of</strong> LC/MS/MS method with immunoassay (Nova Century kit and DXC800<br />

analyzer) method is performed by analyzing patient samples (n=108). The agreements<br />

with immunoassay method within drug classes are 100% for opiates, oxycodone,<br />

methadone and cocaine, 98% for amphetamines (two positive in immunoassay were<br />

negative in LC/MS/MS), 92% for benzodiazepines (eight negative in immunoassay<br />

were positive for 7-amino-clonazepam or lorazepam in LC/MS/MS, confirmed by<br />

patient medication review), 88% for marijuana (13 positives in immunoassay were<br />

negative in LC/MS/MS, MRM signals were positive but EPI quality was not sufficient<br />

for confirmation) and 84% for tricyclic antidepressants (17 positives in immunoassay<br />

were negative in LC/MS/MS).<br />

Conclusion: A rapid and reliable LC/MS/MS method to detect and identify 46 drugs<br />

or drug metabolites in urine with minimal sample preparation is developed. Specific<br />

identification does not require confirmatory testing. The assay can be used for target<br />

drug screening in clinical laboratories.<br />

A-430<br />

Timing Is Everything: A Quality Assurance Study <strong>of</strong> Specimen<br />

Collection and Immunosuppressant Therapeutic Drug Monitoring<br />

T. K. Jackson 1 , P. A. Andrews 1 , H. K. Lee 2 . 1 Geisel School <strong>of</strong> Medicine<br />

at Dartmouth, Lebanon, NH, 2 Geisel School <strong>of</strong> Medicine at Dartmouth &<br />

Dartmouth-Hitchcock Medical Center, Lebanon, NH<br />

Background: Cyclosporine, tacrolimus or sirolimus are given to transplant patients<br />

to minimize rejection. It is important to monitor <strong>the</strong>se drug levels - too much can<br />

result in toxicity and too little can result in transplant rejection. The optimal specimen<br />

collection time is just prior to <strong>the</strong> next dose, as <strong>the</strong> <strong>the</strong>rapeutic ranges are those <strong>of</strong><br />

trough levels. As a Quality Assurance study, patient results have been reviewed and<br />

specimen collection times were investigated for appropriateness.<br />

Objective: We aimed to determine how <strong>of</strong>ten a drug level that fell outside <strong>of</strong> <strong>the</strong><br />

established <strong>the</strong>rapeutic range was associated with improper timing <strong>of</strong> specimen<br />

collection and utilize this information to educate patients, nurses and practitioners.<br />

Methods: Retrospective review <strong>of</strong> cyclosporine, tacrolimus, and sirolimus results<br />

over a twelve month period was performed. A total <strong>of</strong> 4626 results were reviewed.<br />

Less than 30 or >400 ng/mL for cyclosporine, and 15 ng/mL for tacrolimus<br />

and sirolimus were considered to be out <strong>of</strong> range. Patient data was entered onto a<br />

spreadsheet with <strong>the</strong> name, date and time <strong>of</strong> specimen collection, location, provider’s<br />

name, and test result. The patients’ charts were <strong>the</strong>n reviewed to correlate dosing<br />

information.<br />

Results: For cyclosporine, out <strong>of</strong> 685 total test results, 79 (11.5%) fell outside <strong>the</strong><br />

<strong>the</strong>rapeutic range. Of those, 34% were too low, and 66% were too high. For tacrolimus,<br />

out <strong>of</strong> 3716 test results, 326 (8.8%) fell outside <strong>the</strong> <strong>the</strong>rapeutic range. Of those, 63%<br />

were too low, and 37% were too high. For sirolimus, out <strong>of</strong> 225 total test results, 41<br />

(18.2%) fell outside <strong>the</strong> <strong>the</strong>rapeutic range. Of those, 98% were too low, and 2% were<br />

too high. The majority <strong>of</strong> results falling outside <strong>the</strong> <strong>the</strong>rapeutic ranges were found to<br />

be appropriate (dose changes and correct specimen collection times). Out <strong>of</strong> those that<br />

were inappropriate, <strong>the</strong> main reasons found for low test results were no prescription<br />

for <strong>the</strong> drug, patient non-compliance, no dose given/taken, and improper specimen<br />

collection time. The majority <strong>of</strong> those for tacrolimus and sirolimus were outpatients,<br />

74% and 82% respectively. The main reasons found for high test results include <strong>the</strong><br />

patients having been given/taken <strong>the</strong> dose and line contamination. The majority <strong>of</strong><br />

those for tacrolimus, 77%, were outpatient. The majority <strong>of</strong> those for cyclosporine,<br />

83%, were inpatient.<br />

Conclusions: Reporting immunosuppressant results that are inaccurate due to<br />

inappropriate specimen collection times can lead to incorrect dose calculation.<br />

Testing for a drug that is not being prescribed to a patient due to ordering errors, or<br />

retesting for <strong>the</strong> same drug due to inappropriate collection times lead to increasing<br />

cost for <strong>the</strong> patients and waste <strong>of</strong> resources for <strong>the</strong> testing laboratory. Results <strong>of</strong> this<br />

study suggested <strong>the</strong> need for educating patients in outpatient settings and providers in<br />

inpatient settings <strong>of</strong> appropriate specimen collection times to ensure accurate results<br />

for dosing purposes. A dosing policy is being developed in collaboration with <strong>the</strong><br />

pharmacy department and education sessions for outpatients and inpatient providers<br />

are in progress to address this issue.<br />

A-431<br />

Reference Interval Determination for Anabasine in Urine: A Biomarker<br />

<strong>of</strong> Active Tobacco Use<br />

B. B. Suh-Lailam 1 , H. Carlisle 2 , T. Ohman 2 , G. A. McMillin 1 . 1 University <strong>of</strong><br />

Utah, Salt Lake City, UT, 2 ARUP Laboratories, Salt Lake City, UT<br />

Background: Laboratory detection <strong>of</strong> nicotine exposure is important for establishing<br />

eligibility for organ transplant and elective surgery. Nicotine testing is also used to<br />

verify compliance with nicotine replacement <strong>the</strong>rapies (NRT), smoking cessation<br />

programs, and for life insurance purposes. Nicotine metabolites, such as cotinine<br />

(COT) and trans-3’-hydroxycotinine (3-OHCOT), are used as biomarkers <strong>of</strong> nicotine<br />

exposure. For some clinical applications, it is important to distinguish between active<br />

use <strong>of</strong> tobacco products versus NRT. Anabasine is a tobacco alkaloid that has been<br />

used as a biomarker <strong>of</strong> active tobacco use. However, <strong>the</strong> use <strong>of</strong> anabasine as an<br />

insecticide, and its presence in consumables o<strong>the</strong>r than nicotine products, suggests<br />

that anabasine may not be specific to tobacco use.<br />

Objective: To determine <strong>the</strong> reference interval for anabasine in <strong>the</strong> urine <strong>of</strong> nonsmokers,<br />

and compare it to <strong>the</strong> range <strong>of</strong> anabasine concentrations observed in <strong>the</strong><br />

presence <strong>of</strong> nicotine metabolites.<br />

Methods: Urine samples were collected from 120 self-proclaimed, consenting nonsmokers<br />

(60 males and 60 females, 20-68 years old). COT, 3-OHCOT and anabasine<br />

were detected by LC-MS/MS. Briefly, an aliquot <strong>of</strong> urine was added to a mixture <strong>of</strong><br />

deuterium labeled analogs <strong>of</strong> COT, 3-OHCOT and anabasine as internal standards<br />

(IS), and subjected to solid phase extraction. The samples were analyzed by APCI<br />

ionization and multiple reaction monitoring; two transitions were monitored per<br />

analyte and IS. The reference interval was compared to <strong>the</strong> range <strong>of</strong> anabasine<br />

concentrations determined for 2594 consecutive urine specimens that tested positive<br />

for nicotine and/or metabolites, at ARUP Laboratories, during a 1 year period.<br />

Results: Urine anabasine concentrations for <strong>the</strong> 120 non-smoking individuals<br />

ranged from 0.1-5.6 ng/mL, with a mean <strong>of</strong> 1.0 ng/mL and a median <strong>of</strong> 0.8 ng/mL.<br />

No statistically significant difference was observed between males and females. A<br />

reference interval was determined using non-parametric methods. The upper 95th<br />

percentile was determined to be 2.86 with a 95% confidence interval (CI) <strong>of</strong> 1.07 to<br />

4.65. Applying a cut<strong>of</strong>f concentration <strong>of</strong> 3 ng/mL, 1161 <strong>of</strong> <strong>the</strong> 2594 nicotine-containing<br />

urine specimens (45%) were anabasine-positive while 1433 were anabasine-negative.<br />

At a cut<strong>of</strong>f <strong>of</strong> 3 ng/mL, <strong>the</strong> Youden score was 99.16%, <strong>the</strong> ROC area was 0.9994 and<br />

CI was 0.9981 to 1.0000. Anabasine distribution in urine samples that were positive<br />

for at least one nicotine metabolite ranged from 3-1698 ng/mL, with a mean <strong>of</strong> 13.5<br />

ng/mL and a median <strong>of</strong> 8.0 ng/mL. These values were notably higher than that <strong>of</strong><br />

<strong>the</strong> reference (nicotine-negative) population, and may reflect tobacco users. However,<br />

concentrations <strong>of</strong> anabasine between 3-6 ng/mL may or may not reflect active use <strong>of</strong><br />

tobacco, due to potential overlap with <strong>the</strong> distribution <strong>of</strong> anabasine concentrations<br />

observed in <strong>the</strong> reference population. The nicotine-positive samples that were<br />

anabasine-negative (


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

quantify arsenic species. The objective <strong>of</strong> this study was to evaluate <strong>the</strong> clinical and<br />

analytical performance <strong>of</strong> a urine total arsenic screen with reflex to fractionation in<br />

identifying patients with arsenic exposure.<br />

Methods: A retrospective analysis <strong>of</strong> results from urine total arsenic with reflex to<br />

fractionation was conducted. Total arsenic samples were analyzed on Perkin-Elmer<br />

SCIEX ELAN 9000 or DRC II ICP-MS instruments. Arsenic fractionation was<br />

conducted using an Agilent Technologies 1200 Series HPLC with a model #7700x<br />

ICP-MS instrument. The reflex criterion was a total arsenic concentration ≥35 mcg/L.<br />

The positivity rate was used to evaluate clinical performance. Quantitative agreement<br />

between total arsenic and <strong>the</strong> sum <strong>of</strong> fractionated species (arsenobetaine, As(III),<br />

As(V), MMA and DMA) was used to evaluate analytical performance. The percent<br />

difference between methods was calculated as 100*[(total arsenic) - (sum <strong>of</strong> arsenic<br />

species)]/(total arsenic).<br />

Results: Of 12,595 urine total arsenic results, 1110 (8.8%) were reflexed to<br />

fractionation. Of <strong>the</strong> samples reflexed, 102 (9.2%, 0.8% <strong>of</strong> total arsenic samples) were<br />

clinically positive (sum <strong>of</strong> inorganic and methylated arsenic species ≥35 mcg/L) and<br />

949 (85.5%) were analytically positive (sum <strong>of</strong> inorganic, methylated and organic<br />

arsenic species ≥35 mcg/L). Since only <strong>the</strong> clinically concerning (inorganic and<br />

methylated) and major organic (arsenobetaine) arsenic species are quantified upon<br />

fractionation, some discrepancy between total arsenic concentration and <strong>the</strong> sum <strong>of</strong><br />

fractionated species was expected. The slope and correlation coefficient (r 2 ) <strong>of</strong> <strong>the</strong><br />

linear regression <strong>of</strong> <strong>the</strong> sum <strong>of</strong> fractionated species versus total arsenic were 0.97<br />

and 0.99, respectively, indicating linearity and correlation between <strong>the</strong> methods. The<br />

percent difference between total arsenic and <strong>the</strong> sum <strong>of</strong> fractionated arsenic ranged<br />

from -97.0% to 100%. The median <strong>of</strong> <strong>the</strong> distribution was 7.5%, and <strong>the</strong> 25 th and 75 th<br />

percentiles were -0.7% and 17.4%, respectively. The mean bias in a Bland-Altman<br />

difference plot (total arsenic - sum <strong>of</strong> fractionated arsenic) was 5.4 mcg/L and <strong>the</strong><br />

limits <strong>of</strong> agreement were -36.7 and 47.5 mcg/L, which indicated a slight positive bias<br />

<strong>of</strong> <strong>the</strong> total arsenic concentration compared to <strong>the</strong> sum <strong>of</strong> fractionated arsenic species.<br />

Conclusion: Less than 10% <strong>of</strong> urine total arsenic samples assayed were reflexed to<br />

fractionation to quantify <strong>the</strong> arsenic species present, resulting in an overall clinical<br />

positivity rate <strong>of</strong>


Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

μL <strong>of</strong> serum diluted with 5% H 3<br />

PO 4<br />

, and mixed with <strong>the</strong> internal standard solution<br />

was loaded into Oasis HLB 30 mg 96-Well Plate (Waters). The final eluents were<br />

evaporated and reconstituted for analysis. The validation procedure included linearity,<br />

analytical recovery, precision, lower limit <strong>of</strong> quantitation (LLOQ) and method<br />

comparison.<br />

Results: Solid Phase Extraction (SPE) procedure was developed to reduce matrix<br />

effects and troubleshoot operational robustness. 5% and 40% methanol were chosen<br />

as sequential washing solvents for removing endogenous interferences and 85%<br />

methanol was selected as elution solvent. The overall percent <strong>of</strong> recovery (n = 5) <strong>of</strong> <strong>the</strong><br />

SPE extraction process ranged from 71.1 % (cortisone) to 85.3 % (dexamethasone).<br />

The study <strong>of</strong> matrix effects by single analyte was acceptable, in <strong>the</strong> range between<br />

-11% (cortisone) to 3.7% (prednisone). The method was linear up to 600 ng/mL for<br />

cortisol, cortisone, methylprednisolone and prednisolone and up to 400 ng/mL for<br />

dexamethasone and prednisone; with R 2 values greater than 0.998 for all compounds<br />

using a 1/x weighting linear regression. The overall analytical recovery within <strong>the</strong><br />

measurement range was from 91.0 to 110.6%. The coefficients <strong>of</strong> variation intra-assay<br />

(n=10) and inter-assay (testing duplicates <strong>of</strong> each QC samples on 10 different days)<br />

were all less than 5% at three concentration levels. No carry-over was observed with<br />

this method. The LLOQ (lowest concentration that could be assayed with CV ≤ 15)<br />

was determined to be 0.5 ng/mL for cortisone; 1 ng/mL for cortisol and 2 ng/mL<br />

for dexamethasone, methylprednisolone, prednisone and prednisolone. The signal to<br />

noise ratio at <strong>the</strong> LLOQ was > 14:1 for all compounds. Excellent comparison was<br />

found with <strong>the</strong> reference LC-MS/MS method established in Department <strong>of</strong> Laboratory<br />

Medicine and Pathology, Mayo Clinic using 20 patient samples and covering <strong>the</strong><br />

reportable range. Deming regression analysis gave a range <strong>of</strong> slopes (0.672 to 1.147)<br />

and correlation coefficients (r= 0.989 to 0.998).<br />

Conclusions: Our laboratory developed and validated a selective, sensitive,<br />

reproducible and robust analytical method for <strong>the</strong>rapeutic monitoring <strong>of</strong> corticosteroids<br />

in human serum by combining a selective SPE for sample preparation with a highly<br />

sensitive LC-MS/MS analysis.<br />

A-436<br />

Antiarrhythmic Drugs Reverse Bath Salts Induced Tachycardia In<br />

Vivo<br />

T. J. Pitcher, H. A. Jortani, W. W. Tucker, H. A. Jortani, T. Kampfrath, S. A.<br />

Jortani. University <strong>of</strong> Louisville, Louisville, KY<br />

Introduction: Designer stimulant drugs are an emerging public health problem that is<br />

confounded by <strong>the</strong> lack <strong>of</strong> rapid diagnostics and specific treatment regiments. Among<br />

<strong>the</strong> many types <strong>of</strong> designer drugs on <strong>the</strong> market, syn<strong>the</strong>tic cathinones (“bath salts”)<br />

have become increasingly popular. Typically bath salts are consumed by insufflation,<br />

ingestion or application to mucous membranes and are known to cause severe adverse<br />

effects including tachycardia, hypertension and respiratory distress. However, little is<br />

known regarding pharmacodynamic properties <strong>of</strong> bath salts in humans, specifically<br />

regarding <strong>the</strong>ir cardiogenic effects. The objective <strong>of</strong> this study was to evaluate <strong>the</strong><br />

effects <strong>of</strong> bath salts on <strong>the</strong> hearts <strong>of</strong> Daphnia magna and determine if elevations<br />

in heart rate could be reversed using antiarrhythmic drugs. We hypo<strong>the</strong>size that<br />

cathinones will significantly increase <strong>the</strong> heart rate <strong>of</strong> daphnia, but this effect will be<br />

reversed using antiarrhythmic drugs.<br />

Methods: The physiologic effects <strong>of</strong> three syn<strong>the</strong>tic cathinones (provided by UTAK<br />

Laboratories Inc.) were evaluated using <strong>the</strong> D. magna heart rate model. D. magna<br />

have a myogenic heart similar to vertebrates and have been used as a bioassay to<br />

evaluate effects <strong>of</strong> various compounds on heart rate and environmental toxicity. The<br />

drugs mephedrone, 3,4 methylenedioxypyrovalerone (MDPV) and methylone were<br />

evaluated. Additionally, antiarrhythmic drugs (Diltiazem and Verapamil) were also<br />

characterized and used to determine if <strong>the</strong>y could counteract <strong>the</strong> tachycardia caused<br />

by syn<strong>the</strong>tic cathinones. Briefly, D. magna were incubated for 30 seconds in a solution<br />

containing multiple concentrations <strong>of</strong> cathinones (0.14-141 μM), antiarrhythmic drugs<br />

(0.4-2.9 μM), and combinations <strong>of</strong> <strong>the</strong> two drugs. Following exposure, groups <strong>of</strong> five<br />

D. magna were transferred to slides and <strong>the</strong> heart rates were determined using a video<br />

microscopy and subsequent time-delayed video analysis. The effective concentration<br />

required to affect <strong>the</strong> heart rate 50% (EC 50<br />

) were determined and <strong>the</strong> t-test was used to<br />

demonstrate significant changes.<br />

Results: Dose-response analysis <strong>of</strong> five concentrations <strong>of</strong> bath salts demonstrated that<br />

<strong>the</strong> cathinones were able to significantly increase <strong>the</strong> heart rate <strong>of</strong> D. magna by 150%<br />

from 310 to 451bpm, with an EC 50<br />

<strong>of</strong> 1.9 μM. However, increasing concentrations <strong>of</strong><br />

<strong>the</strong> cathinones above 14 μM did not significantly increase <strong>the</strong> heart rates, indicating<br />

saturation <strong>of</strong> <strong>the</strong> cardiac receptors. In contrast, antiarrhythmic drugs such as Verapamil<br />

exhibited <strong>the</strong> opposite effect, decreasing <strong>the</strong> heart rate by 50% from 310 to 158bpm,<br />

with an EC 50<br />

<strong>of</strong> 1.5 μM. When <strong>the</strong> D. magna were exposed to <strong>the</strong> 14 μM <strong>of</strong> a mixture<br />

<strong>of</strong> cathinones, followed by treatment with 2.1 μM Verapamil, <strong>the</strong> tachycardia caused<br />

by <strong>the</strong> cathinones was significantly reduced from 451 to 326 (P


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-438<br />

Development <strong>of</strong> a gas chromatography-mass spectrometry (GC-MS)<br />

-based qualitative “bath salts” assay in urine<br />

L. Liu 1 , S. Giannoutsos 1 , A. Karunamurthy 1 , J. A. Rymer 1 , R.<br />

Venkataramanan 2 , K. Tamama 1 . 1 University <strong>of</strong> Pittsburgh School <strong>of</strong><br />

Medicine, Pittsburgh, PA, 2 University <strong>of</strong> Pittsburgh, Pittsburgh, PA<br />

Background: “Bath salts” refer to <strong>the</strong> new emerging stimulant drugs that contain<br />

syn<strong>the</strong>tic cathinones. They are <strong>the</strong> latest addition to <strong>the</strong> list <strong>of</strong> abuse drugs and are<br />

gaining popularity. At present more than 100 compounds have appeared on <strong>the</strong><br />

underground market and have caused acute toxicity and even death. Due to <strong>the</strong><br />

lack <strong>of</strong> standard screening methods for <strong>the</strong>se compounds, it is important for clinical<br />

toxicology laboratories to develop accurate screening methods to detect <strong>the</strong>se drugs.<br />

The aim <strong>of</strong> this study is to develop and evaluate a urinary gas chromatography-mass<br />

spectrometry (GC-MS) test for common constituents <strong>of</strong> “bath salts” in our clinical<br />

toxicology laboratory.<br />

Methods: Pyrovalerone, methylone, me<strong>the</strong>drone, butylone, 3-fluoromethcathinone<br />

and 4-fluoromethcathinone obtained from Cayman Chemical (Ann Arbor, MI) were<br />

used in this study. Blank urine samples spiked with 5, 50, 500, and 5000 ng/mL <strong>of</strong><br />

<strong>the</strong>se compounds underwent liquid-liquid extraction with activated charcoal and<br />

methylene chloride under neutral and alkaline conditions. Derivatization <strong>of</strong> amine<br />

with pentafluoropropionic anhydride (PFPA) and ethyl acetate was performed at 70<br />

C for 20 minutes. The samples were <strong>the</strong>n evaporated under nitrogen gas flow and<br />

redissolved in methanol before injection. Chromatography separation was carried<br />

out on an Agilent HP-5MS capillary GC column (30 m x 0.25 mm x 0.25 μm). The<br />

GC was operated in splitless injection mode with inlet temperature <strong>of</strong> 250 C and a<br />

flow rate <strong>of</strong> 1 ml/min. Analytes were detected on an Agilent Technologies 5975 mass<br />

spectrometer operated in full scan using electron ionization. Total run time was 42.75<br />

minutes. Compounds were identified through spectral match by using Mass Spectra <strong>of</strong><br />

Designer Drugs 2012 (Wiley, Hoboken, NJ) and Cayman Spectral Library (Cayman<br />

Chemical).<br />

Results: The limit <strong>of</strong> detection <strong>of</strong> each compound with and without derivatization was<br />

defined in this system. Butylone, methylone, me<strong>the</strong>drone, 3-fluoromethcathinone and<br />

4-fluoromethcathinone were detected at 500 ng/mL without derivatizatin and at 50<br />

ng/mL with derivatization. Pyrovalerone was detected at 50 ng/mL with and without<br />

derivatization. The retention time <strong>of</strong> each compound is distinguishable from common<br />

urinary constituents, such as urea or creatinine. None <strong>of</strong> <strong>the</strong>se six compounds had<br />

cross reactivity with in-house EMIT II immunoassay <strong>of</strong> amphetamine and o<strong>the</strong>r drug<br />

screens. These drugs are also shown to be stable in urine samples. With this GC-MSbased<br />

platform, we were able to identify methylone without derivatization in a patient<br />

urine sample.<br />

Conclusion: A qualitative GC-MS screening method for bath salts in urine was<br />

developed and evaluated. Using this method, “bath salts” in patient urine samples<br />

can be detected at clinically relevant concentrations. This will provide valuable<br />

information regarding <strong>the</strong> usage and clinical effect <strong>of</strong> <strong>the</strong>se new abuse drugs.<br />

A-439<br />

Predicted ability <strong>of</strong> dosage rate-dependent reference ranges for urine<br />

hydrocodone measurements to distinguish between results from<br />

different dosage rates<br />

L. J. McCloskey, D. F. Stickle. Jefferson University Hospitals, Philadelphia,<br />

PA<br />

Background: Quantitative urine testing to assess pain medication prescription<br />

compliance is not well established. Couto et al. [J Clin Pharm Ther 2011;36:200-<br />

7] measured distributions <strong>of</strong> urine concentrations <strong>of</strong> hydrocodone from among<br />

volunteers given hydrocodone in dosage rates <strong>of</strong> 20 (A), 60 (B) and 120 (C) mg/d.<br />

These data are useful in establishing central 95% reference ranges for urines from<br />

<strong>the</strong>se three basis dosage rates. We evaluated additionally <strong>the</strong> extent to which reference<br />

ranges for <strong>the</strong>se groups could exclude results derived from alternative dosage rates.<br />

Methods: Urine concentration distributions for A-C were well fitted by log-normal<br />

distributions using a log scale median (x m<br />

) and a log scale standard deviation (s)<br />

(r 2 >0.99). Both x m<br />

and s were linear with hydrocodone dosage rate (R, mg/d) on a<br />

log scale: x m<br />

= 0.9327 log(R) + 2.341 (r 2 = 0.9984) (Eqn.1); s = -0.1151 log(R) +<br />

0.3492 (r 2 = 0.9898) (Eqn.2). Using Equations 1 and 2, predicted urine hydrocodone<br />

distributions for arbitrary dosage rates o<strong>the</strong>r than A, B or C were calculated. As a<br />

function <strong>of</strong> presumed alternative hydrocodone dosage rates, overlaps <strong>of</strong> <strong>the</strong> predicted<br />

distributions with central 95% reference ranges for basis dosage rates A-C were<br />

calculated.<br />

Results: See Figure. Using curve B as an example (basis dosage rate = 60 mg/d):<br />

for an alternative dosage rate <strong>of</strong> 150 mg/d, approximately 20% <strong>of</strong> <strong>the</strong> predicted urine<br />

concentration distribution is still within (overlaps with) <strong>the</strong> central 95% reference<br />

range <strong>of</strong> <strong>the</strong> basis distribution. For all three basis dosage rates A-C, an alternative<br />

higher dosage rate that is at least 2-fold greater is required before exclusion (nonoverlap)<br />

<strong>of</strong> at least 80% <strong>of</strong> <strong>the</strong> predicted urine concentration distribution occurs.<br />

Conclusions: Predicted overlaps <strong>of</strong> distributions as in Figure should enable clinicians<br />

to judge whe<strong>the</strong>r capabilities <strong>of</strong> quantitative urine hydrocodone testing to discriminate<br />

between varying dosage rates are adequate to meet intended clinical objectives.<br />

A-440<br />

2011 Detroit Area Survey <strong>of</strong> “Spice” Products<br />

J. M. Wilson 1 , J. Bargeon 2 , K. S. Leonard 1 , M. P. Smith 1 . 1 William Beaumont<br />

Hospital, Royal Oak, MI, 2 Children’s Hospital <strong>of</strong> Michigan Poison Control<br />

Center, Detroit, MI<br />

On November 24, 2010 <strong>the</strong> Drug Enforcement Administration (DEA) listed JWH-<br />

018, JWH-073, JWH-200, CP-47,497 and CP-47,497 C8 as temporary Schedule I<br />

substances [75 FR 71635]. These entities, frequently identified as “Spice” and “K2”<br />

were developed as agonists at human endocannabinoidCB-1 and CB-2 receptors.<br />

Promoted as “legal highs”, products <strong>of</strong> this type consist <strong>of</strong> vegetation to which has<br />

been added an application <strong>of</strong> a single or multiple chemical(s). In <strong>the</strong> summer <strong>of</strong><br />

2011 we undertook a survey <strong>of</strong> samples acquired in <strong>the</strong> Detroit Metropolitan area<br />

to assess <strong>the</strong> impact <strong>of</strong> <strong>the</strong> federal law. The results <strong>of</strong> this survey are displayed in<br />

table 1. Analysis was conducted on a Hewlett-Packard 5972 MSD equipped with a<br />

DB-5 MS, 30 m. capillary column with 0.25 mm id with a 0.25 micron film thickness.<br />

Samples were prepared by immersing a product portion in methanol and injecting 1<br />

L <strong>of</strong> supernate after centrifugation. Of note is <strong>the</strong> absence <strong>of</strong> a controlled substance,<br />

<strong>the</strong> frequent presence <strong>of</strong> AM-2201(9 <strong>of</strong> 12) and that four <strong>of</strong> <strong>the</strong> products contained<br />

multiple substances. A review <strong>of</strong> <strong>the</strong> literature provided estimates <strong>of</strong> affinity constants<br />

at <strong>the</strong> CB-1 receptor for Tetrahydrocannabinol (THC), JWH-018, JWH-073, JWH-<br />

200 and CP-47,497 as 41.0, 9.0, 8.9, 42.0, and 9.5, respectively. Affinity constants, in<br />

paren<strong>the</strong>ses, for <strong>the</strong> six syn<strong>the</strong>tic chemicals identified were JWH-081 (1.2), JWH-122<br />

(0.7), JWH-210 (0.5), AM-2201 (1.0), and AM-2233 (1.8) indicating that <strong>the</strong> postregulatory<br />

group <strong>of</strong> products were, at minimum, more than twenty times more potent<br />

than THC and at least five times more potent than <strong>the</strong> strongest <strong>of</strong> <strong>the</strong> scheduled<br />

substances.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A131


Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

Table 1.<br />

Comercial Syn<strong>the</strong>tic Cannabinoids<br />

JWH-022 JWH-081 JWH-122 JWH-210 AM 2201 AM 2233<br />

1 Astronaut Fuel 1 (Silver) X<br />

2 Astronaut Fuel 1 (White) X<br />

3 Bayou Blaster X X<br />

4 Diesel 3G X<br />

5 Ed Hardy X<br />

6 Funky Green Stuff X X X<br />

7 Kamel K2 X<br />

8 Legal Devil X<br />

9 Loud! X<br />

10 Pr<strong>of</strong>essor’s Choice X<br />

11 Sonic Boom X X X<br />

12 Super Kush X X X X<br />

A-441<br />

Development <strong>of</strong> a Highly Sensitive Polyclonal Antibody for <strong>the</strong><br />

Determination <strong>of</strong> Carbamazepine, Oxcarbazepine and Associated<br />

Active Metabolites<br />

J. Frew, S. Savage, P. McClintock, M. E. Benchikh, P. Lowry, R. I.<br />

McConnell, S. P. Fitzgerald. Randox Laboratories Limited, Crumlin,<br />

United Kingdom<br />

Introduction: Carbamazepine (CBZ) and oxcarbazepine are anti-convulsant and<br />

mood-stabilising drugs which are prescribed for <strong>the</strong> treatment <strong>of</strong> various conditions,<br />

including anxiety, attention-deficit disorder, bipolar disorder, schizophrenia and<br />

epilepsy. Carbamazepine is metabolised mainly to carbamazepine -10,11-epoxide<br />

(CBZ-E), 10,11-dihydro-10-hydroxycarbazepine (10-OH-CBZ) and <strong>the</strong> major<br />

urinary excretory product: 10,11-dihydro-10,11-dihydroxycarbazepine (10,11-diOH-<br />

CBZ). The <strong>the</strong>rapeutic range is reported as 2-10μg/ml for total carbamazepine (free<br />

and protein bound) and 0.5-3.6μg/ml for free carbamazepine. The corresponding<br />

toxic values are given as greater than 12μg/ml and 4μg/ml, respectively. Toxic<br />

concentrations can provoke drowsiness, headaches, affect motor function and in<br />

extreme cases are fatal. Given this narrow <strong>the</strong>rapeutic index allied to inter-patient<br />

variability in drug-responsiveness, it is extremely important to monitor <strong>the</strong> levels <strong>of</strong><br />

<strong>the</strong> active drug in <strong>the</strong> patient’s serum during treatment to allow physicians to tailor<br />

treatments for each individual patient. Oxcarbazepine rapidly metabolises to 10-OH-<br />

CBZ and is also considered a candidate for Therapeutic Drug Monitoring (TDM).<br />

Relevance: The aim <strong>of</strong> this study was to develop a highly sensitive polyclonal antibody<br />

suitable for <strong>the</strong> determination <strong>of</strong> carbamazepine, oxcarbazepine and associated active<br />

metabolites. This is relevant for <strong>the</strong> development <strong>of</strong> efficient immunoassays for<br />

applications in TDM.<br />

Methodology: Carbamazepine was conjugated to bovine thyroglobulin (BTG) as a<br />

carrier. Adult sheep were immunized with <strong>the</strong> resulting immunogen on a monthly basis<br />

to provide target-specific polyclonal antisera. Immunoglobulin fraction was extracted<br />

and evaluated via competitive enzyme-linked immunosorbent assay (ELISA). The<br />

absorbance was read at 450nm.<br />

Results: The assay was standardized to carbamazepine and <strong>the</strong> specificity <strong>of</strong><br />

<strong>the</strong> developed polyclonal antibody, expressed as % cross-reactivity, was: 299%<br />

(Oxcarbazepine), 68.3% (CBZ-E), 67.4% (10-OH-CBZ) and 14% (10,11-diOH-<br />

CBZ). It did not cross-react with amitriptyline ( 251.1 transition was<br />

monitored.<br />

A132 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results: Analytical performance for whole blood and serum samples was very<br />

similar. Linearity was observed from 15.7 to 2000 ng/ml for both sample types. Total<br />

imprecision for whole blood HQ at 50 ng/ml, 500 ng/ml, and 1500 ng/ml was 9.6%,<br />

8.7%, and 8.5%, respectively; total imprecision for serum at <strong>the</strong> same concentrations<br />

was 2.6%, 1.9%, and 2.0%, respectively. Accuracy at <strong>the</strong>se concentrations was within<br />

± 15% for both sample types. The lowest HQ concentration that resulted in a CV<br />

<strong>of</strong> 20% was 3.6 ng/ml for whole blood and 6.0 ng/ml for serum. Based on <strong>the</strong>se<br />

values and <strong>the</strong> linearity <strong>of</strong> <strong>the</strong> method, <strong>the</strong> lower limit <strong>of</strong> quantitation was designated<br />

as 15.7 ng/ml for both sample types. The extraction efficiency and matrix factor for<br />

whole blood were 73% and 101%, respectively; for serum <strong>the</strong>y were 103% and 101%<br />

respectively.<br />

Conclusions: We developed a robust and rapid TFLC-MS/MS method for <strong>the</strong><br />

quantitation <strong>of</strong> HQ in whole blood and serum. The method shows similar analytical<br />

performance for both sample types. We are currently using <strong>the</strong> method to quantify<br />

HQ in paired whole blood and serum samples with <strong>the</strong> goal <strong>of</strong> rigorously and<br />

systematically evaluating <strong>the</strong> relationship between HQ levels in <strong>the</strong>se sample types.<br />

A-445<br />

Analytical Performance <strong>of</strong> <strong>the</strong> SYVA EMIT 2000 Tacrolimus Assay on<br />

<strong>the</strong> Beckman DxC 800.<br />

J. Arias-Stella, C. Feldkamp, J. Zajechowski, L. Stezar, V. I. Luzzi. Henry<br />

Ford Hospital, Detroit, MI<br />

Background: Tacrolimus is an immunosuppressant used for prevention <strong>of</strong> organ<br />

rejection on transplant patients. It inhibits T-lymphocyte activation by binding to<br />

intracellular proteins and complexes to inhibit calcineurin phosphatase activity.<br />

Because high levels <strong>of</strong> this compound may be toxic and low levels inadequate to<br />

avoid organ rejection, <strong>the</strong>rapeutic drug monitoring is essential for patient care. We<br />

investigated <strong>the</strong> analytical performance <strong>of</strong> SYVA EMIT 2000 Tacrolimus assay<br />

adapted for <strong>the</strong> Beckman DxC 800 in an effort to decrease <strong>the</strong> turn-around-time for<br />

results (TAT).<br />

Methods: The Beckman SYVA EMIT 2000 Tacrolimus assay is a homogenous<br />

competitive immunoassay with spectrophotometric detection performed on pretreated<br />

specimens. Correlation with a predicate method, imprecision, linearity and<br />

functional sensitivity were examined using human or commercially available whole<br />

blood specimens. We use liquid chromatography/mass spectrometry (LC/MS) as <strong>the</strong><br />

predicate method for validation. For imprecision, commercially available control<br />

materials at 5.4, 12.3, and 27.6 ng/mL were used (n=14 for levels 1 and 2; n=8 for<br />

level 3). The data were analyzed using Micros<strong>of</strong>t Excel or EP Evaluator. The TAT was<br />

measured from <strong>the</strong> time <strong>the</strong> specimen arrived to <strong>the</strong> laboratory to <strong>the</strong> time <strong>the</strong> results<br />

were available in <strong>the</strong> electronic medical record.<br />

Results: Correlation with LC/MS demonstrated a slope <strong>of</strong> 0.93, and a correlation<br />

coefficient <strong>of</strong> 0.96 (n= 19) (figure). Imprecision (coefficient <strong>of</strong> variation, CV (%)) was<br />

15.2% at 5.5 ng/mL, 7.1% at 12.7 ng/mL, and 5.3% at 27.8 ng/mL. Average percent<br />

recovery between 2 ng/mL and 30 ng/mL was 100.4%. The functional sensitivity<br />

was 2 ng/mL. A precision pr<strong>of</strong>ile showed a CV < 20% at 2 ng/mL. The average TAT<br />

decreased from 24 hours to less than 4 hours.<br />

Conclusions: The Beckman SYVA EMIT 2000 Tacrolimus assay analytical<br />

performance is within acceptable limits and enables <strong>the</strong> laboratory to <strong>of</strong>fer a short<br />

TAT to support <strong>the</strong> current needs <strong>of</strong> our inpatient population.<br />

A-446<br />

Analytical validation studies <strong>of</strong> a 5-flurouracil assay; <strong>the</strong> use <strong>of</strong> <strong>the</strong><br />

Siemens Advia® 1800 for personalized medicine in oncology.<br />

A. Teggert 1 , J. Dowd 1 , G. D. Lundell 2 , J. B. Courtney 2 , I. Baburina 2 , S.<br />

J. Salamone 2 . 1 James Cook University Hospital, Middlesbrough, United<br />

Kingdom, 2 Saladax Biomedical, Inc., Bethlehem, PA<br />

Introduction: Despite its 50 year history <strong>of</strong> use in <strong>the</strong> treatment <strong>of</strong> solid tumor<br />

cancers, <strong>the</strong> chemo<strong>the</strong>rapeutic agent 5-fluorouracil (5-FU) remains <strong>the</strong> foundation<br />

drug in treatment regimens for colorectal cancer. The addition <strong>of</strong> o<strong>the</strong>r agents and<br />

changes in protocols has resulted in incremental improvements in treatment outcomes<br />

over <strong>the</strong> years, and now <strong>the</strong> focus on personalized medicine bring yet ano<strong>the</strong>r<br />

opportunity for even better and cost-effective patient care. It has been demonstrated<br />

in phase II and III clinical studies that patient outcomes can be improved when<br />

5-FU dosing is personalized to achieve target systemic exposure through <strong>the</strong> use <strong>of</strong><br />

<strong>the</strong>rapeutic dose management (TDM) to measure 5-FU plasma concentration levels.<br />

These studies were performed using physical methods to quantitate 5-FU. The country<br />

specific availability <strong>of</strong> a 5-FU immunoassay gives clinical laboratories <strong>the</strong> potential to<br />

provide this important test in routine clinical settings.<br />

Objective: Validation <strong>of</strong> <strong>the</strong> Saladax Biomedical, Inc.(SBI) My5-FU ®<br />

assay on <strong>the</strong><br />

Siemens Advia 1800.<br />

Methods: My5-FU is a homogenous, two-reagent, immunoassay based on<br />

nanoparticle agglutination. CLSI protocols and established procedures were used to<br />

evaluate precision, linearity, accuracy, sample carry-over and onboard reagent and<br />

calibration stability. Repeatability was tested on two days, n=20 for low, medium QC<br />

material and two plasma pools spiked with 5-FU. Within-laboratory (total) precision<br />

was evaluated with high, medium and low controls according to CLSI EP15-A. In<br />

<strong>the</strong> method comparison 50 clinical samples were run in duplicate over two days.<br />

Results were compared to <strong>the</strong> Beckman AU400® system, which had been previously<br />

validated for accuracy by comparison to a validated LC-MS/MS method. The My5-<br />

FU kit, and patient samples and pools were provided by SBI.<br />

Results: Within-run repeatability had coefficients <strong>of</strong> variation (CV) <strong>of</strong> 4.7% and<br />

4.5% for <strong>the</strong> low control (228ng/mL) and patient pool 1 (241ng/mL) and 2.2% for <strong>the</strong><br />

medium control (465ng/mL) and 1.9% for patient pool 2 (712ng/mL). The CV for <strong>the</strong><br />

total precision was 4.3%, 2.9%, and 1.4% for <strong>the</strong> low (228ng/mL), medium (466ng/<br />

mL) and high (903ng/mL) controls respectively. The assay was linear throughout <strong>the</strong><br />

test range (86-1800ng/mL): all mean results were within ±9% <strong>of</strong> <strong>the</strong> assigned values<br />

(median deviation -1.6%), <strong>the</strong> CV on <strong>the</strong> replicates was ≤5% (median 1.2%). The<br />

regression line through <strong>the</strong> points deviated


Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

stability <strong>of</strong> at least a month. With excellent precision and accuracy <strong>of</strong> this application<br />

<strong>the</strong> Advia 1800 could be employed to provide results for <strong>the</strong> dose adjustment <strong>of</strong> 5-FU<br />

and potentially improve patient outcomes.<br />

A-447<br />

Ultrafast Quantitative Analysis <strong>of</strong> Benzodiazepines and Buprenorphine<br />

in Urine Using High-Throughput SPE/MS/MS<br />

N. Parikh, M. Youssef, M. Romm, K. Schlicht, V. Miller, W. LaMarr, C.<br />

Ozbal. Agilent Technologies, Wakefi eld, MA<br />

Introduction: Law Enforcement <strong>of</strong>ficials, employers and pathologists use forensic<br />

drug screening extensively today. The steady increase in sample volume has led<br />

to <strong>the</strong> need for greater analytical capacity within forensic toxicology laboratories,<br />

placing a strain on traditional technologies like GC/MS or LC/MS. In <strong>the</strong> present<br />

study, we evaluated <strong>the</strong> ability <strong>of</strong> an ultrafast SPE/MS/MS system to quantitatively<br />

measure a panel <strong>of</strong> benzodiazepines or Buprenorphine/Norbuprenorphine in urine<br />

at low ng/ml concentrations, with sample cycle times <strong>of</strong>


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-450<br />

A Robust, Reliable and Cost Efficient Method to Extract and Detect<br />

Syn<strong>the</strong>tic Cannabinoids in Urine by LC/MSMS<br />

J. C. Wentworth, S. S. Tolliver, E. D. Lykissa. ExperTox Lab Services, Deer<br />

Park, TX<br />

Background: Syn<strong>the</strong>tic cannabinoids (SCB) are a class <strong>of</strong> psychoactive chemically<br />

designed drugs, which when consumed mimic <strong>the</strong> effects <strong>of</strong> Cannabis by binding<br />

to <strong>the</strong> Cannabinoid A & B brain receptors with enhanced affinity and pronounced<br />

pharmacological effects. The literature has suggested <strong>the</strong> strong addictive properties<br />

<strong>of</strong> <strong>the</strong>se potent psychotropic substances may be due to <strong>the</strong> lack <strong>of</strong> cannabidiol,<br />

which counters <strong>the</strong>se properties in <strong>the</strong> natural occurring Cannabis. In terms <strong>of</strong><br />

metabolism, SCB’s are extensively metabolized by <strong>the</strong> cytochrome P-450 enzymes,<br />

which ultimately results in a glucuronic acid conjugate. The goal <strong>of</strong> this study was<br />

to develop a quantitatively comprehensive LC/MS/MS method for <strong>the</strong> detection <strong>of</strong><br />

syn<strong>the</strong>tic cannabinoids and <strong>the</strong>ir metabolites in urine that would be relatively easy,<br />

quick, and inexpensive.<br />

Methods: Two-hundred microliters <strong>of</strong> donor urine sample, calibrators and controls<br />

undergo enzymatic hydrolysis with beta-glucuronidase, followed by an in-house<br />

perfected salting-out liquid-liquid extraction process. Three hundred microliters <strong>of</strong><br />

acetonitrile is added, at which time <strong>the</strong> samples are vortex mixed and centrifuged<br />

for 10 min at 2500 rpm. One-hundred microliters <strong>of</strong> <strong>the</strong> supernatant is submitted for<br />

liquid chromatography-mass spectrometry-mass spectrometry (LC/MS/MS) analysis.<br />

Analytical analysis was conducted on Agilent Technologies 6430 Mass spectrometer<br />

coupled with a 1260 Infinity HPLC system. Ten microliters <strong>of</strong> specimen was injected<br />

onto a Restek biphenyl column (50 X 2.1mm, 3μm) with <strong>the</strong> initial mobile phase<br />

<strong>of</strong> 40:60 (5mM Ammonium Formate with 10% methanol: 0.1% formic acid in<br />

acetonitrile). After 1.0 min <strong>the</strong> mobile phase composition transitions to a ratio <strong>of</strong> 5:95,<br />

with a constant flow rate <strong>of</strong> 0.4 mL/ min. Dwell times were established at 50 ms,<br />

with a gas flow <strong>of</strong> 10 L/min and 50 psi nebulizer pressure. The method successfully<br />

and reliably identifies 11 different hydroxylated-indolic or hydroxylated-pentyl urine<br />

metabolites <strong>of</strong> JWH-018, JWH-019, JWH-073, JWH-122, JWH-200, JWH-210,<br />

JWH-250, JWH-398, RCS-4, AM-2201 and XLR-11; along with D9-JWH- 018 and<br />

D7-JWH-073 internal standards. The total runtime is 4.5 minutes.<br />

Results: The limits <strong>of</strong> detection and limit <strong>of</strong> quantitation were established at 0.2 ng/<br />

ml and 0.5 ng/ml, respectively. Each patient sample is quantitated using a three-point<br />

calibration curve with an upper limit <strong>of</strong> quantitation <strong>of</strong> 50 ng/ml.<br />

Precision at <strong>the</strong> limit <strong>of</strong> quantitation had a mean CV <strong>of</strong> 6.45% (range: 2.52 -<br />

12.855%), while <strong>the</strong> mean at <strong>the</strong> upper limit <strong>of</strong> linearity equaled 4.86% (range:<br />

0.338-11.49%). The actual time to prepare <strong>the</strong> samples did not exceed 45 minutes,<br />

making <strong>the</strong> extraction procedure relatively quick and efficient. The amount <strong>of</strong> buffer<br />

and extraction solvent utilized are minimal, which has <strong>the</strong> two-fold benefit <strong>of</strong> having<br />

a low amount <strong>of</strong> waste material as well as a small amount <strong>of</strong> upfront material usage.<br />

Conclusion: The described methodology has proven to be reliable method for <strong>the</strong><br />

detection <strong>of</strong> SCB’s that is robust, and relatively inexpensive.<br />

A-451<br />

Evaluation <strong>of</strong> Everolimus QMS assay by using Therm<strong>of</strong>isher Indiko,<br />

Beckman DXc and AU680 analyzers<br />

K. Garrison 1 , S. Wong 2 . 1 Wake Forest Baptist Health, Wisnton-Salem, NC,<br />

2<br />

Wake Forest School <strong>of</strong> Medicine, Wisnton-Salem, NC<br />

Background: Everolimus, a mTOR inhibitor immunosuppressant for renal transplant,<br />

is <strong>of</strong>ten used in combination with calcineurin inhibitors such as cyclosporine and<br />

tacrolimus. Therapeutic range is 3 -8 ng/mL, based on LC-MS assay <strong>of</strong> <strong>the</strong> parent<br />

drug. Everolimus is also used for <strong>the</strong> following cancer treatments: subependymal gaint<br />

cell astrocytoma, HER2-negative breast cancer, progressive neuroendocrine turmors<br />

<strong>of</strong> pancreatic origin, and renal cancer patients with failed Sunitinib or Sorafenib<br />

treatments. Everolimus monitoring may be achieved by LC-MS-MS, and recently, by<br />

<strong>the</strong> Therm<strong>of</strong>isher QMS turbidimetric immunoassay. This study initially established<br />

<strong>the</strong> clinical efficacy <strong>of</strong> <strong>the</strong> QMS everolimus assay by using Beckman DXc, followed<br />

by comparison to Therm<strong>of</strong>isher Indiko and Beckman AU 680.<br />

Methods: QMS everolimus is a turbidimetric immunoassay. Sample preparation was<br />

initiated by mixing 300 μL <strong>of</strong> samples - patient whole blood with 350 μL <strong>of</strong> methanol,<br />

and 50 μL <strong>of</strong> a precipitation reagent. After vortexing for 35 seconds and centrifugation<br />

for 8 minutes at 13,000 Xg, 350 μL <strong>of</strong> <strong>the</strong> supernatant was transferred to sample<br />

cups. Drug in <strong>the</strong> supernatant and drug coated on microparticle competed for limited<br />

number <strong>of</strong> antibody binding sites. If everolimus was absent in <strong>the</strong> sample supernatant,<br />

everolimus-coated microparticle was agglutinated in <strong>the</strong> presence <strong>of</strong> antibody<br />

reagent. If everolimus was present, agglutination was partially inhibited depending<br />

on everolimus concentration. Thus, agglutination rate was inversely proportional to<br />

everolimus concentrations, and was measured photometrically. Calibrators ranged<br />

from 0 to 20 ng/mL.<br />

Results: Linearity studies established: AU 680 - range <strong>of</strong> 0.1 to 19 ng/mL with a<br />

slope <strong>of</strong> 0.972, and an intercept <strong>of</strong> 0.05., DXc - 0.51 to 20 ng/mL, 1.023 and 0.19, and<br />

Indiko - 0.53 to 20 ng/mL, 1.014 and 0.12 respectively. Precision studies <strong>of</strong> 20 control<br />

samples showed <strong>the</strong> following mean concentrations and CVs: AU 680, 4.20 and 14.90<br />

ng/mL, and 3.1 and 3.5%., DXc, 4.72 and 15.56 ng/mL, and 3.6 and 2.6% ., Indiko,<br />

4.00 and 15.25 ng/mL, and 6.8 and 3.1% respectively. Calibration stabilities for DXc,<br />

AU680 and Indiko were shown to be 1, 5 and 5 days. Comparison studies <strong>of</strong> <strong>the</strong> three<br />

analyzers for 107 to 109 kidney transplant samples with concentration ranging from<br />

0.3 to 13.6 ng/mL showed <strong>the</strong> following slopes, intercepts and correlation: DXc vs<br />

AU 680, 1.000, -0.05 and 0.981., DXc vs Indiko, 1.073, 0.43, 0.945., and AU 680 vs<br />

Indiko, 1.076, 0.46, 0.962.<br />

Conclusion: Everolimus may be monitored by <strong>the</strong> QMS assay using three<br />

autoanalyzers with adequate sensitivity and acceptable precision. These three<br />

methods <strong>of</strong>fered comparable everolimus determination suitable for monitoring renal<br />

transplant patients.<br />

A-452<br />

Monitoring Levetiracetam (Keppra) in Geriatric Patients using<br />

ARK Assay on ROCHE Modular P.<br />

R. Khoury, A. Gandhi, B. P. Salmon, P. Gudaitis, D. Gudaitis. Aculabs, Inc.,<br />

East Brunswick, NJ<br />

Background: Epilepsy is a chronic disorder with recurring seizures; it is estimated<br />

that approximately 2 million people in <strong>the</strong> United States have epilepsy with 140,000<br />

new cases/year. There are several antiepileptic drugs on <strong>the</strong> market with <strong>the</strong> ultimate<br />

goal <strong>of</strong> complete cessation <strong>of</strong> seizures. Levetiracetam (Keppra®) is novel drug with<br />

mechanism <strong>of</strong> action by modulation <strong>of</strong> synaptic neurotransmitter release. Keppra has<br />

several advantages over o<strong>the</strong>r drugs which made <strong>the</strong> drug so popular: it is rapidly<br />

absorbed with almost 100% bioavalability, not bound to plasma protein, absence <strong>of</strong><br />

enzyme induction, absence <strong>of</strong> interactions with o<strong>the</strong>r drugs, and partial metabolism<br />

outside <strong>the</strong> liver. Therapeutic drug monitoring <strong>of</strong> <strong>the</strong> Keppra level is important in<br />

conditions that cause change in <strong>the</strong> pharmacokinetic characteristics <strong>of</strong> <strong>the</strong> drug<br />

such as pregnancy, old age and poor kidney function. Also, monitoring helps assess<br />

compliance, optimizing regimen in certain patients, and dosing <strong>the</strong> newer extended<br />

release drug. HPLC is <strong>the</strong> method used by most laboratories, but new assays are<br />

making <strong>the</strong>ir way to routine clinical chemistry analyzers.<br />

Design: Specimens were collected from residents in Long-Term Care facilities<br />

with average age <strong>of</strong> 67.8 years; <strong>the</strong> majority <strong>of</strong> <strong>the</strong> patients were on combination<br />

<strong>of</strong> antiepileptic drugs. Levetiracetam was measured using <strong>the</strong> ARK assay,<br />

a homogeneous enzyme immunoassay based on competition between drug in<br />

<strong>the</strong> specimen and levetiracetam labeled with <strong>the</strong> enzyme glucose-6-phosphate<br />

dehydrogenase (G6PDH) for binding to <strong>the</strong> antibody reagent. We evaluated <strong>the</strong> assay<br />

sensitivity, accuracy, linearity, precision, reportable range, and samples from resident<br />

in Long-term Care facilities were used for <strong>the</strong> correlation with a reference using liquid<br />

chromatography/tandem mass spectrometry (LC/MS-MS). Statistical analysis was<br />

done using Analyse-it.<br />

Results: Assay sensitivity was 2 ug/mL, and <strong>the</strong> within-assay coefficients <strong>of</strong> variation<br />

were 3.8% and 2.1% for concentrations <strong>of</strong> 10.8 ug/mL and 45.26 ug/mL respectively.<br />

Analytical range was verified from 2-100 ug/mL with acceptable linearity. Correlation<br />

between ARK Levetiracetam assay on Modular P and LC/MS-MS was excellent<br />

with correlation coefficient <strong>of</strong> 0.9927, bias -1.12, slope <strong>of</strong> 0.953 and intercept <strong>of</strong> -0.08.<br />

Although <strong>the</strong> majority <strong>of</strong> <strong>the</strong> patients were within <strong>the</strong> <strong>the</strong>rapeutic reference range,<br />

more than 3% <strong>of</strong> <strong>the</strong> patients were above <strong>the</strong> <strong>the</strong>rapeutic ranges and required dose<br />

adjustment.<br />

Conclusion: Application <strong>of</strong> <strong>the</strong> ARK Levetiracetam Assay on Modular P is a fully<br />

automated, random access, high throughput test system, and gave <strong>the</strong> benefit <strong>of</strong> a<br />

making <strong>the</strong> assay available on a platform used in routine chemistry, <strong>the</strong>reby saving <strong>the</strong><br />

cost <strong>of</strong> adding ano<strong>the</strong>r instrument. It performed with high precision and acceptable<br />

sensitivity. The assay requires fewer steps, less reagent preparation and training than<br />

<strong>the</strong> LC/MS-MS assay, which gives it <strong>the</strong> advantage <strong>of</strong> saving technician time and<br />

salary. In addition, reducing turnaround time will lead to better patient care especially<br />

for <strong>the</strong> geriatric population where <strong>the</strong> majority <strong>of</strong> <strong>the</strong> patients are frail, on multiple<br />

medications, and have some degree <strong>of</strong> renal dysfunction.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A135


Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

A-453<br />

A Potential Proteomic Biomarker <strong>of</strong> Lovastatin-induced Macrophage<br />

Toxicity<br />

L. Zhang, X. Zhou, A. Zhou. Cleveland State University, Cleveland, OH<br />

Background: Lovastatin, a competitive inhibitor <strong>of</strong> 3-hydroxy-3-methylglutaryl<br />

coenzyme A (HMG-CoA) reductase, is commonly used in clinic to treat patients with<br />

hypercholesterolemia. Moreover, this compound has pleiotropic effects on regulation<br />

<strong>of</strong> cellular proliferation and induction <strong>of</strong> cell-cycle arrest in vitro. Evidence from<br />

cell culture experiments suggests a link between lovastatin and macrophage cell<br />

apoptosis. Therefore, protein pr<strong>of</strong>iling <strong>of</strong> macrophage cells in responding to lovastatin<br />

treatment may provide an insight to cellular and molecular biological changes. The<br />

aim <strong>of</strong> present study was to identify potential lovastatin-induced biomarker candidates<br />

for macrophage toxicity.<br />

Methods: In this work, a systematic bottom-up proteomic analysis was performed<br />

to investigate <strong>the</strong> differential expression <strong>of</strong> proteins under lovastatin dose-gradient<br />

treatments. RAW 264.7 mouse leukaemic monocyte macrophage cells in culture were<br />

used as an experimental model. After <strong>the</strong> cells were incubated for 24 hours at 37 ºC,<br />

lovastatin was added at different concentrations (0.1, 0.5, 1.0, 5.0, 10.0, 15.0, 20.0<br />

μM) and incubated for ano<strong>the</strong>r 24 hours. The resulting cell lysates were subjected<br />

to SDS-PAGE separation, trypsin digestion, and liquid chromatography-tandem<br />

mass spectrometry analysis. The identified candidate biomarkers were validated<br />

using immunoblot assay. In addition, <strong>the</strong> bio-functions <strong>of</strong> macrophage cells with<br />

and without lovastatin treatment were characterized by measuring <strong>the</strong>ir phagocytic<br />

activity and migration inhibitory factor (MIF).<br />

Results: Lovastatin at high concentrations (>5 μM) induced accelerated macrophage<br />

apoptosis, increased phagocytic activity, and promoted macrophage migration.<br />

A number <strong>of</strong> differential proteins expressed in <strong>the</strong> lovastatin-treated samples were<br />

higher than those in <strong>the</strong> control samples. Especially, Filamina A (290 kDa) was found<br />

as an up-regulation biomarker candidate for lovastatin induced macrophage toxicity.<br />

Conclusions: Our results suggest that lovastatin could act as a macrophage toxic<br />

agent at high doses. Due to Filamin A’s functions in <strong>the</strong> control <strong>of</strong> cell mobility, cell<br />

ECM interactions, cell signaling, and DNA damage response, it may be a potential<br />

diagnostic and prognostic biomarker for macrophage toxicity. Fur<strong>the</strong>r investigation at<br />

molecular levels to understand long term side effects for clinical safety <strong>of</strong> lovastatin<br />

is warranted.<br />

Keywords:<br />

Lovastatin; Macrophage; Filamin A<br />

A-454<br />

Comparison <strong>of</strong> a newly developed UPLC/MS/MS clinical research<br />

method with two immunoassay platforms for <strong>the</strong> analysis <strong>of</strong><br />

methotrexate in serum<br />

M. P. Eastwood 1 , P. J. Monaghan 2 , Y. Thomson 2 , L. J. Calton 1 . 1 Waters<br />

Corporation, Greater Manchester, United Kingdom, 2<br />

The Christie<br />

Hospital, Greater Manchester, United Kingdom<br />

Background: Here we compare <strong>the</strong> use <strong>of</strong> an UltraPerformance liquid chromatography<br />

tandem mass spectrometry (UPLC/MS/MS) research method with <strong>the</strong> Abbott TDx<br />

(FPIA) and ARK Methotrexate (EMIT) immunoassays for <strong>the</strong> analysis <strong>of</strong> methotrexate<br />

in serum. Due to <strong>the</strong> limited linear range <strong>of</strong> <strong>the</strong> immunoassays, automated sample<br />

dilution is <strong>of</strong>ten required for analysis <strong>of</strong> samples from patients receiving high-dose<br />

<strong>the</strong>rapy.<br />

Methods: Samples were anonymised and frozen prior to batch analysis at The Christie<br />

Hospital, Manchester, UK, using <strong>the</strong> Abbott TDx analyzer and ARK assay (using <strong>the</strong><br />

Siemens ADVIA 1800 platform) (n=100), before comparison with UPLC/MS/MS.<br />

The newly developed UPLC/MS/MS method uses a simple protein precipitation<br />

extraction to prepare calibrators, QCs and samples for analysis. The analysis time per<br />

sample was approximately 2.5 minutes injection-to-injection. Precision performance<br />

(%CV) for inter- and intra-method imprecision for low (0.03μmol/L), mid (8.6μmol/L)<br />

and high (300μmol/L) QC samples was


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

were done by immunoassay that had previously been validated against both HPLC<br />

and GC. We calculated t½, Cl and Vd for both methadone and EDDP. All assays were<br />

done at <strong>the</strong> request <strong>of</strong> <strong>the</strong> attending physician.<br />

Result: From June 2002 to January <strong>2013</strong>, 250 patient samples were analysed. On 78<br />

patients we also had <strong>the</strong> list <strong>of</strong> medications. Eight <strong>of</strong> <strong>the</strong>se had no o<strong>the</strong>r medication<br />

and <strong>the</strong> remaining 70 had received an average <strong>of</strong> 3.5 medications (range 1 to 13). The<br />

most commonly prescribed drugs were amitriptyline (5) duloxetine (6), venlafaxine<br />

(6), bupropion (7), citalopram (8) ibupr<strong>of</strong>en (12) and oxybutynin (12). Methadone<br />

half-life could be calculated on 224 patients. T½ ranged from 6.6h to 167h (mean<br />

33.8h). Removing extreme values 60h, n=195, mean t½ = 29.1h was<br />

obtained. Half-life correlated significantly with dose in mg/kg (p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

Conclusion: Our findings indicate that both Siemens and ARK immunoassays are<br />

suitable for MTx level monitoring in management <strong>of</strong> <strong>the</strong> patients treated with high<br />

dose MTx if <strong>the</strong> drug toxicity cut-<strong>of</strong>f is set to 0.10 μmol/L. Protocols where MTx<br />

toxicity limit is set at


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

methamphetamine plus confirmation ions, and N-ethylamphetamine, for one<br />

vernix sample. The second vernix sample was positive for methadone, EDDP, and<br />

amitriptyline. Total analysis time, including sample incubation, was sub- 2 hours.<br />

Analysis <strong>of</strong> additional vernix samples is on-going to fur<strong>the</strong>r assess correlation <strong>of</strong><br />

DART-HRMS results to standard drug testing procedures.<br />

Conclusions: The DART-HRMS platform provides easy and fast sample analysis<br />

from a variety <strong>of</strong> biological matrices, including those (e.g.vernix) difficult to prepare<br />

by conventional means. This allows noninvasive and timely analysis <strong>of</strong> newborn drug<br />

exposure. While optimization <strong>of</strong> sample treatment is in progress, preliminary data<br />

indicates good agreement with clinical presentation and suggests this methodology<br />

could be useful in <strong>the</strong> clinical laboratory.<br />

A-464<br />

Should all screen-positive elevated blood lead (EBL) samples be<br />

retested before reporting?<br />

L. J. McCloskey 1 , J. D. Landmark 2 , D. F. Stickle 1 . 1 Jefferson University<br />

Hospitals, Philadelphia, PA, 2 University <strong>of</strong> Nebraska Medical Center,<br />

Omaha, NE<br />

Background: Common laboratory practice in lead (Pb) testing is to retest samples<br />

having initial results that are positive for elevated blood lead (EBL: [Pb] ≥5 μg/dL)<br />

before reporting. An unintended outcome <strong>of</strong> this practice is that it in fact reduces<br />

<strong>the</strong> overall screening sensitivity for EBL detection. This is for <strong>the</strong> simple reason that<br />

among all first-measurement positives, which includes both false positives (FP) and<br />

true positives (TP), <strong>the</strong> only possible change for TP upon retesting is reclassification as<br />

negative (decreasing <strong>the</strong> number <strong>of</strong> TP, and increasing <strong>the</strong> number <strong>of</strong> false negatives<br />

(FN)), due simply to assay imprecision. Accordingly, <strong>the</strong> screening sensitivity (S =<br />

TP/(TP+FN)) can only decrease when only first-measurement positives are retested.<br />

The scale on which this affects sensitivity for EBL detection can only be guessed at<br />

without performing detailed calculations that account for assay imprecision and <strong>the</strong><br />

underlying patient population distribution for [Pb]. In order to assess this scale, we<br />

undertook such calculations by simulation <strong>of</strong> testing using a known patient population<br />

distribution for [Pb] and assuming an appropriate fixed value for assay imprecision.<br />

Methods: A basis patient [Pb] distribution was that <strong>of</strong> first-or-only measurements<br />

among pediatric subjects at <strong>the</strong> University <strong>of</strong> Nebraska Medical Center during a oneyear<br />

period (2011; n=10,333), for which 4.4% were classified as EBL (≥5 μg/dL).<br />

For sake <strong>of</strong> argument, this distribution was treated as a “true” results distribution.<br />

This distribution was “measured” by simulation, using a fixed standard deviation (s)<br />

<strong>of</strong> measurement, s=0.77 μg/dL. This s was chosen as a boundary value which would<br />

produce a sample pass rate <strong>of</strong> >99% for current pr<strong>of</strong>iciency testing requirements <strong>of</strong><br />

±2 μg/dL accuracy. In simulated testing, each sample [Pb] was individually replaced<br />

by a value from <strong>the</strong> normal distribution [Pb]±2s, according to <strong>the</strong> probabilities <strong>of</strong><br />

that normal distribution; this is as if each “true” [Pb] was measured by an assay with<br />

imprecision s. Simulated testing was conducted ei<strong>the</strong>r without retesting (singletons,<br />

case A), with retesting when first test results were ≥EBL cut<strong>of</strong>f (≥5 μg/dL) (duplicates,<br />

case B), or with retesting only when first test results were ≥EBL cut<strong>of</strong>f +2s (≥6.5 μg/<br />

dL) (duplicates, case C). The original basis distribution classifications (EBL, non-<br />

EBL) were compared to results <strong>of</strong> simulated testing to determine sensitivity, S, for<br />

EBL detection under conditions A, B, or C. Simulations were <strong>of</strong> 10,000 samples per<br />

run, replicated for 1000 runs.<br />

Results: For case A (singletons), S was 89.6±1.5 %. For case B (duplicates for firstmeasurement<br />

≥5 μg/dL), S was 87.3±1.6 %, a decrease <strong>of</strong> 2.3% in comparison to A.<br />

For case C (duplicates for first-measurement ≥6.5 μg/dL), S was 89.6±1.5%, identical<br />

to results for A.<br />

Conclusions: For this patient distribution, <strong>the</strong>re was a penalty <strong>of</strong> retesting <strong>of</strong> samples<br />

that were first-measurement screen-positive for EBL, which decreased sensitivity for<br />

EBL detection by >2%. This penalty is an inherent aspect <strong>of</strong> assay imprecision when<br />

only first-measurement positives are retested. Retesting only <strong>of</strong> first-measurement<br />

positives that are at least 2s greater than <strong>the</strong> EBL cut<strong>of</strong>f can avoid this effect on S<br />

<strong>of</strong> retesting.<br />

A-465<br />

Method development for determining iohexol in human plasma by<br />

UPLC<br />

Y. Zou, S. Wang, Y. Li, Y. Liao, J. Tang, L. wang. Department <strong>of</strong> Laboratory<br />

Medicine, West China Hospital , Sichuan University, chengdu, China<br />

Objective: Iohexol(IHO) is a suitable marker for glomerular filtration rate (GFR)<br />

testing because its elimination occurs in glomerular without secretion or resorption<br />

in tubular. Therefore, iohexol clearance is widely used in clinical practice for GFR<br />

testing.This research aimed to develop a quickly and sensitively method to determine<br />

<strong>the</strong> human plasma iohexol by ultra-high Performance Liquid Chromatography<br />

(UPLC) .<br />

Methods:We used iohexol related compound C as <strong>the</strong> internal standard (IS). Protein<br />

precipitation and iohexol extraction from plasma sample (0.2ml) was carried out<br />

by adding 0.6ml acetonitrile followed by vortex mixing and centrifugation. The<br />

supernatant was reextracted using 3 ml trichloromethane,<strong>the</strong>n <strong>the</strong> 5ul upper aqueous<br />

was analysed on Waters BEH C18 column(2.1*50mm,1.7um), IHO and IS were<br />

eluted by <strong>the</strong> mobile phase consist <strong>of</strong> 0.02mol/L PH4.50 ammonium acetate buffer(A)<br />

and acetonitrile(B) under 40℃ at a flow-rate <strong>of</strong> 0.3ml/min and monitored by UV<br />

absorption at 254 nm.<br />

Results:The Average extraction recovery <strong>of</strong> IHO and IS was 90.8% and 90.4%,<br />

respectively; good linearity(r 2 =0.9994) was observed througuout <strong>the</strong> range <strong>of</strong> 0.025-<br />

200 ug/ml and <strong>the</strong> Lower limit <strong>of</strong> detection was 12.5ng/ml, <strong>the</strong> retention time <strong>of</strong><br />

IHO and IS were 1.12min and 1.85min, respectively; The intra-assay and inter-assay<br />

variations were lower than 2.22% and 2.37%, respectively, for all <strong>the</strong> examined<br />

concentrations; <strong>the</strong> overall accuracy <strong>of</strong> <strong>the</strong> method was 100.6%-103.4%; <strong>the</strong> stability<br />

<strong>of</strong> IHO in plasma was assessed, that coefficients <strong>of</strong> variance at room temperature for<br />

6h ,frozen/thawed at room temperature <strong>the</strong>n refrozen at -20℃ for three cycles and<br />

stored at -20℃ for 29 days were less than 1.25%, 1.56% and 2.56% , respectively.<br />

Conclusions:This method was sensitive, accurate, simple and rapid.it not only has <strong>the</strong><br />

capability <strong>of</strong> being used for determination <strong>of</strong> iohexol in clinical settings, but also can<br />

be useful for clinical plasma concentration measurement and pharmacokinetic study.<br />

Tab1 . The precision <strong>of</strong> IHO<br />

Intra-day<br />

Inter-day<br />

C(ug/ml) Measured(ug/ml) RSD(%) Measured(ug/ml) RSD(%)<br />

100 100.5±2.2 2.22 100.2±1.88 1.88<br />

6.25 6.46±0.09 1.44 6.28±0.12 0.57<br />

0.39 0.394±0.002 0.7 0.39±0.003 1.34<br />

0.1 0.102±0.002 1.95 0.1±0.002 2.37<br />

A-466<br />

Red Eyes, Flushed Face, Slurred Speech, and More: A Clinical<br />

Dilemma in a Complex Mental Illness Unit<br />

E. Wong, C. Stefan-Bodea. Centre for Addiction and Mental Health,<br />

Toronto, ON, Canada<br />

Background. A client <strong>of</strong> <strong>the</strong> Centre for Addiction and Mental Health in Toronto<br />

with outside privileges started returning late to <strong>the</strong> unit with signs <strong>of</strong> intoxication<br />

including red eyes, flushed face, slurred speech, lack <strong>of</strong> co-ordination while playing<br />

games at which he was normally good as well as disorganized thoughts, not being<br />

able to get his story straight as to where he was or when he signed out. Ano<strong>the</strong>r client<br />

experienced quick change in mental status including verbally aggressive, paranoid,<br />

psychotic. Comprehensive urine drug screens were unremarkable.The possibility that<br />

<strong>the</strong>se symptoms may have been due to use <strong>of</strong> herbal products containing syn<strong>the</strong>tic<br />

cannabinoids, overall known as “Spice” but also available under a variety <strong>of</strong> names,<br />

was considered. We describe <strong>the</strong> identification <strong>of</strong> JHW-type syn<strong>the</strong>tic cannabinoids<br />

metabolites in urine specimens using high resolution Orbitrap mass spectrometry<br />

approach, thus overcoming lack <strong>of</strong> commercially available standards.<br />

Materials and Methods. Urine specimens were analyzed using <strong>the</strong> Q-Exactive LC-<br />

MS mass spectrometer. A database with monoisotopic masses for various drugs and<br />

metabolites was created. Drug standards from Cerilliant were used to validate <strong>the</strong><br />

mass accuracy, retention times and mass fragmentation spectra. LC separation was<br />

on Phenomenex Kinetex PFP column 100 x 2.1 mm, 2.6 μm, 100Å, using gradient<br />

elution and UPLC Accela pump. The cycle time was ~15 min with positive and<br />

negative polarity switching, and fragmentation in <strong>the</strong> HCD in <strong>the</strong> same run. Precursors<br />

were scanned from m/z 100 to 800 at 70,000 resolutions and HCD fragment ions<br />

between m/z 50 to 800 at 17,500 resolutions. Data was analyzed with XCalibur<br />

s<strong>of</strong>tware adapted for high resolution. Non-threshold approach was used for reporting<br />

positive findings.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A139


Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

Results. Syn<strong>the</strong>tic cannabinoids were reported to have very short half life being<br />

quickly metabolized to hydroxylated and/or carboxylated metabolites and <strong>the</strong>n<br />

conjugated with glucuronic acid. Hence <strong>the</strong> actual parent drugs are not expected to<br />

be detected. Using mass-accuracy Orbitrap technology we identified <strong>the</strong> following<br />

metabolites in <strong>the</strong> patients’ specimens: JWH-018 N-(5-hydroxypentyl) glucuronide,<br />

JWH-073 N-Butanoic acid glucuronide, JWH-073-3-OH-glucuronide, Carboxy-THC<br />

glucuronide. We show total and extracted mass chromatograms at mass accuracy <<br />

5 ppm for each <strong>of</strong> <strong>the</strong>se metabolites; for example, JWH-018 N-(5-hydroxypentyl)<br />

glucuronide 534.2122 vs 534.2123 in positive mode or 532.1977 vs. 532.1975 in<br />

negative mode. After confrunted with <strong>the</strong> laboratory results, one patient admitted to<br />

using Kryptonite herbal product, and <strong>the</strong> o<strong>the</strong>r one admitted to using IZMS herbal<br />

incense.<br />

Conclusion We describe a rapid and accurate approach for detection <strong>of</strong> JWH-018<br />

and JWH-073 metabolites and/or <strong>the</strong>ir conjugates in urine specimens. Given <strong>the</strong><br />

large variety <strong>of</strong> syn<strong>the</strong>tic cannabinoids that can be available on <strong>the</strong> drug market, <strong>the</strong><br />

same approach can be used for any o<strong>the</strong>r compound regardless <strong>of</strong> reference standard<br />

availability. The use <strong>of</strong> syn<strong>the</strong>tic cannabinoids use can lead to severe side effects,<br />

hence a laboratory testing for addiction and mental health setting has a significant<br />

value for patient management.<br />

A-467<br />

Performance characterization <strong>of</strong> a new topiramate immunoassay on a<br />

high-throughput analyzer<br />

J. M. El-Khoury, S. E. Lawson, K. E. Lembright, S. Wang. Cleveland<br />

Clinic, Cleveland, OH<br />

Background: Topiramate is an anticonvulsant used for <strong>the</strong> treatment <strong>of</strong> epilepsy<br />

and migraines, and various <strong>of</strong>f-label applications such as posttraumatic stress and<br />

bipolar disorder. Therapeutic drug monitoring <strong>of</strong> topiramate is helpful for optimizing<br />

individual <strong>the</strong>rapy, managing comedications, and assessing compliance. Our objective<br />

was to evaluate a topiramate immunoassay (ARK Diagnostics, Sunnyvale, CA) on a<br />

Siemens ADVIA 1200 (Siemens Healthcare Diagnostics, Deerfield, IL).<br />

Methods: Linearity was assessed by spiking a left-over patient serum sample to a<br />

topiramate level <strong>of</strong> 60 μg/mL followed by serial dilution with saline and analyzing<br />

<strong>the</strong> resulting specimens in triplicate. Intra-assay precision was evaluated by analyzing<br />

two quality control materials (low and high) included in <strong>the</strong> ARK reagent package for<br />

10 replicates a day while inter-day precision was assessed by analyzing three quality<br />

control materials once a day for 20 days. Accuracy was assessed by comparing results<br />

<strong>of</strong> <strong>the</strong> samples by <strong>the</strong> ARK immunoassay to a reference laboratory method (n=40,<br />

ARK Diagnostics on Roche P-modular analyzer) and to a fluorescence polarization<br />

immunoassay (FPIA) (n=29, Abbott Diagnostics TDX analyzer).<br />

Results: The assay was linear from 1.0 to 60 μg/mL with recoveries ranging from<br />

99.2% to 115.1%. No carryover was observed up to 100 μg/mL. Intra- and interassay<br />

precision were less than 8.7% for all concentrations tested. Two samples were<br />

lower than <strong>the</strong> quantitation limit <strong>of</strong> both FPIA and ADVIA and were not included in<br />

<strong>the</strong> correlation analysis. The assay compared favorably with FPIA (TDX) and <strong>the</strong><br />

reference laboratory method (P-modular) as shown in figure 1.<br />

Conclusion: The ARK Diagnostics immunoassay on Advia 1200 <strong>of</strong>fered reliable<br />

quantitation for topiramate.<br />

A-468<br />

Methanol Quantitation: Evaluating <strong>the</strong> CATACHEM Methanol<br />

Enzymatic Assay on an AU400e<br />

J. M. Juenke 1 , P. I. Brown 1 , K. L. Johnson-Davis 2 . 1 ARUP Institute for<br />

Clinical and Experimental Pathology, Salt Lake City, UT, 2 2Department<br />

<strong>of</strong> Pathology, University <strong>of</strong> Utah School <strong>of</strong> Medicine, Salt Lake City, UT<br />

Introduction: Methanol (MeOH) poisoning is an important and common<br />

toxicological problem that requires clinical diagnosis. MeOH is commonly found in<br />

windshield washing fluid, gas line antifreeze, model airplane fuel, solid cooking fuel,<br />

photocopying fluid, perfumes, and moonshine. MeOH is metabolized to formaldehyde,<br />

<strong>the</strong>n formic acid. Formic acid is a mitochondrial toxin, working in a similar way as<br />

cyanide to obstruct oxidative phosphorylation. Ocular toxicity is prominent, causes<br />

visual effects including blurry vision, loss <strong>of</strong> color vision, ‘snowfield’ vision, or<br />

total blindness. Both pancreatitis and renal failure have also been reported. Rapid<br />

methanol quantification in serum is important to both <strong>the</strong> diagnosis <strong>of</strong> poisoning and<br />

guiding <strong>the</strong>rapy. Serum methanol quantification is not widely available in <strong>the</strong> hospital<br />

setting due in large part to <strong>the</strong> lack <strong>of</strong> an automated assay. Methanol concentrations<br />

are determined using chromatographic techniques. An enzymatic assay for methanol<br />

available through CATACHEM has been able to screen and quantify methanol using<br />

an automated chemistry analyzer (AU400e). Objective: The MeOH enzymatic<br />

assay by CATACHEM was evaluated after implementing method parameters for <strong>the</strong><br />

AU400e.<br />

Methodology: The assay is based on <strong>the</strong> affinity <strong>of</strong> <strong>the</strong> enzyme Alcohol Oxidase<br />

from bacteria to catalyze <strong>the</strong> oxidation <strong>of</strong> methanol to formaldehyde and H2O2, <strong>the</strong><br />

formaldehyde thus produced is subsequently converted to formic acid by <strong>the</strong> action<br />

<strong>of</strong> formaldehyde dehydrogenase in <strong>the</strong> presence <strong>of</strong> NAD. This two point kinetic<br />

procedure is read at 340nm and <strong>the</strong> increase in absorbance is directly proportional to<br />

<strong>the</strong> concentration <strong>of</strong> methanol.<br />

Results: The linearity <strong>of</strong> <strong>the</strong> assay was evaluated by serial diluting a 100 mg/dL spike<br />

serum sample. The lower limit <strong>of</strong> quantitation 5 mg/dL was <strong>the</strong> lowest concentration<br />

at which all samples were accurate to 20% <strong>of</strong> <strong>the</strong> target concentration. The upper<br />

limit <strong>of</strong> quantitation <strong>of</strong> 145 mg/dL was tested using a patient sample that had been<br />

confirmed at 145 mg/dL tested in duplicate and was accurate to 20% <strong>of</strong> <strong>the</strong> target<br />

concentration. Precision was performed at four levels over three days (n=15) with<br />

all CV% less than 9%. Fifty nine samples were correlated with GC-FID, with 16<br />

samples giving greater than 5 mg/dL results yielding a Deming Regression Equation<br />

<strong>of</strong> y=1.08x+3.19, r=0.993, standard error= 3.58.<br />

A140 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


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Tuesday, July 30, 9:30 am – 5:00 pm<br />

Conclusions: The CATACHEM assay may be used to rapidly screen and quantitate<br />

methanol <strong>the</strong>reby preventing unnecessary medical treatment when methanol is absent.<br />

The assay may also be used to monitor decontamination efforts related to methanol<br />

treatment.<br />

A-469<br />

Development <strong>of</strong> an automated SPE procedure for <strong>the</strong> measurement <strong>of</strong><br />

serum Celecoxib by LC-MS/MS<br />

D. W. S. Stephen, I. Clunie, A. J. Dunlop, W. G. Simpson. NHS Grampian,<br />

ABERDEEN, United Kingdom<br />

Background: Cyclooxygenase-2 (COX-2)-selective inhibitors, such as Celecoxib<br />

(Celebrex ® ), have recently found <strong>the</strong>rapeutic benefit not only in <strong>the</strong> treatment <strong>of</strong><br />

neuroinflammatory and neurodegenerative disorders but also as an alternative <strong>the</strong>rapy<br />

for pain management. Management <strong>of</strong> severe pain is usually with opioid-based pain<br />

medications, such as Codeine or Morphine, but <strong>the</strong>y have significant side effects<br />

including respiratory depression that has resulted in death. The non-steroidal antiinflammatory<br />

drug (NSAID), Celecoxib, is devoid <strong>of</strong> such opioid-related side effects.<br />

As <strong>the</strong> use <strong>of</strong> this alternative medication in pain management has increased, this<br />

laboratory has received interest in <strong>the</strong> monitoring <strong>of</strong> Celecoxib blood concentrations<br />

in patients receiving <strong>the</strong> drug to gauge adequacy <strong>of</strong> <strong>the</strong>rapy whilst striving to avoid<br />

potential toxic side effects. We have developed a rapid LC-MS/MS method for <strong>the</strong><br />

measurement <strong>of</strong> Celecoxib in blood samples prepared for analysis using an automated<br />

solid phase extraction (SPE) technique.<br />

Methods: Extraction <strong>of</strong> Celecoxib from serum samples was carried out by an HTS-<br />

PAL autosampler robot, using disposable ITSP C18 SPE cartridges. Celecoxib was<br />

quantified by LC-MS/MS via electrospray ionisation (ESI) using multiple reaction<br />

monitoring (MRM) and Celecoxib-d4 as internal standard.<br />

Results: The assay was linear over <strong>the</strong> analytical range 0.5-10,000 ng/mL. Lower<br />

limits <strong>of</strong> detection (LLOD) and quantification (LLOQ) <strong>of</strong> Celecoxib were 0.88 ng/mL<br />

and 3.34 ng/mL, respectively. Intra-assay (n = 5) and inter-assay (n = 5) imprecision<br />

<strong>of</strong> Celecoxib in all samples were 0.05% relative standard deviation (RSD) (r 2 for<br />

slope <strong>of</strong> calibration curve 0.9995) and 0.11% RSD (r 2 for slope <strong>of</strong> calibration curve<br />

0.9994), respectively. The analytical recovery <strong>of</strong> Celecoxib spiked into serum was<br />

>95%. Matrix effect in serum was 3.5% and extracted samples were stable for at least<br />

14 days at 10°C.<br />

Conclusion: The described validated LC-MS/MS method for <strong>the</strong> detection <strong>of</strong><br />

Celecoxib in SPE-prepared serum is a quick and easy procedure for <strong>the</strong> measurement<br />

<strong>of</strong> this drug in samples taken for <strong>the</strong>rapeutic drug monitoring purposes. The method<br />

can be readily introduced onto a laboratory LCMS system, a technology now available<br />

to and employed by many clinical laboratories.<br />

A-470<br />

Cross-reactivity Assessment <strong>of</strong> Bath salts in different Immunoassays<br />

T. Kampfrath, A. Sibio, S. Jortani. University <strong>of</strong> Louisville, Louisville, KY<br />

Background: Bath salts, a class <strong>of</strong> syn<strong>the</strong>tic molecules known as cathinones, are<br />

<strong>the</strong> latest drugs <strong>of</strong> abuse becoming increasingly popular in <strong>the</strong> United States. They<br />

are very popular among younger abusers trying to avert detection by <strong>the</strong> standard<br />

drug screening procedures. With little information known on <strong>the</strong>ir risks and effects<br />

by <strong>the</strong> medical community, frequent overdoses, hallucinations, and even death have<br />

been reported. Currently, <strong>the</strong> different cathinones are analyzed by gas chromatography<br />

- mass spectrometry by referral and highly specialized laboratories. Since <strong>the</strong><br />

structures <strong>of</strong> cathinones are similar to amphetamines, cross-reactivities with common<br />

immunoassays are expected. Herein, we report on <strong>the</strong> cross-reactivity analysis <strong>of</strong><br />

three different syn<strong>the</strong>tic cathinones in varies commercial immunoassays used in<br />

routine drug screening practice.<br />

Methods: The selected syn<strong>the</strong>tic cathinones for cross-reactivity assessment were<br />

Mephedrone, MDPV (3,4-methylenedioxypyrovalerone), and Methylone. These<br />

substances are currently <strong>the</strong> most prevalent members <strong>of</strong> <strong>the</strong> bath salts in <strong>the</strong> United<br />

States and were kindly provided by Utak Laboratories Inc. (Valencia, CA). Those<br />

compounds were added to aliquots <strong>of</strong> pooled normal human urine at a concentration<br />

<strong>of</strong> 10000 ng/mL a typical concentration utilized for cross-reactivity studies with<br />

unrelated drugs. In addition, one sample contained a mixture <strong>of</strong> all three cathinones<br />

at a concentration <strong>of</strong> 10000 ng/mL each as street drugs are ra<strong>the</strong>r a mixture and rarely<br />

pure. The tested immunoassays were <strong>the</strong> Roche Integra (Roche Diagnostics GmbH),<br />

Triage® 8 Drugs <strong>of</strong> Abuse Panel (Inverness Medical, San Diego, CA) and Beckman<br />

Coulter Unicel DxC 800 (Brea, CA).<br />

Results: The Roche amphetamine screen was <strong>the</strong> only assay that we tested that<br />

showed cross-reactivity with bath salts. At first, we tested a mixture <strong>of</strong> Mephedrone,<br />

MDPV, and Methylone providing a positive result as indicated by a reaction rate <strong>of</strong><br />

1642 while 1000 is set for <strong>the</strong> cut<strong>of</strong>f (equivalent in assay reactivity to 500 ng/mL).<br />

Next, we tested each cathinone separately at a concentration <strong>of</strong> 10000 ng/mL. Here,<br />

only mephedrone was able to cross-react and provide a positive result (1060), while<br />

MDPV (417) and methylone (651) were well below <strong>the</strong> cut<strong>of</strong>f limit. None <strong>of</strong> those<br />

compounds gave positive results at <strong>the</strong> 10000 ng/mL cut<strong>of</strong>f in <strong>the</strong> Triage® 8 panel<br />

(amphetamine, barbiturate, cocaine, opiate, benzodiazepine, THC, methadone, PCP)<br />

and in <strong>the</strong> Beckman Coulter Unicel DxC 800 (amphetamine, barbiturate, cocaine,<br />

opiate, benzodiazepine, THC, methadone).<br />

Conclusion: Out <strong>of</strong> <strong>the</strong> three popular bath salts tested, only mephedrone cross-reacted<br />

in <strong>the</strong> Roche’s amphetamine screen. Nei<strong>the</strong>r <strong>of</strong> <strong>the</strong> bath salts tested ei<strong>the</strong>r alone or<br />

as a mixture cross-reacted in <strong>the</strong> Triage or Beckman amphetamine assays. All o<strong>the</strong>r<br />

immunoassay screens resulted in negative results when bath salts were added to <strong>the</strong><br />

urine. Considering <strong>the</strong> long turn-around time for sending samples for testing bath<br />

salts, <strong>the</strong> observed cross-reactivity in <strong>the</strong> Roche’s amphetamine assay may be an<br />

advantage since <strong>the</strong> clinical management <strong>of</strong> amphetamine and bath salts overdoses<br />

are similar.<br />

A-471<br />

Direct analysis <strong>of</strong> 26 urinary opioids and metabolites by mixed-mode<br />

μElution SPE combined with UPLC/MS/MS - Improved performance<br />

vs. “Dilute-and-shoot” methodology.<br />

J. Danaceau, E. Chambers, K. Fountain, D. Mason. Waters Corporation,<br />

Milford, MA<br />

Background: The analysis <strong>of</strong> natural and syn<strong>the</strong>tic opioid drugs continues to be an<br />

important area <strong>of</strong> analytical research. Typical methods to detect <strong>the</strong>se drugs <strong>of</strong>ten<br />

require enzymatic hydrolysis prior to analysis. However, incomplete hydrolysis can<br />

result in inaccurate measurement. The method presented herein directly analyzes<br />

glucuronide metabolites, eliminating uncertainty associated with enzymatic<br />

hydrolysis. The presented work details a technique for analysis <strong>of</strong> 26 opioid drugs and<br />

<strong>the</strong>ir metabolites in urine using mixed-mode solid phase extraction (SPE) followed by<br />

revered-phase UPLC/MS/MS analysis.<br />

Methods: Urine samples (100 μL) were pretreated with equal parts 4% H 3<br />

PO 4<br />

and<br />

internal standard solution (dissolved in water). After conditioning mixed-mode SPE<br />

plates, pretreated urine samples were loaded onto <strong>the</strong> sorbent bed. After washing<br />

each well with water and MeOH, samples were <strong>the</strong>n eluted with 60:40 ACN:MeOH<br />

containing 5% NH 4<br />

OH. Sample eluates were <strong>the</strong>n evaporated to dryness, reconstituted<br />

in starting mobile phase and injected onto <strong>the</strong> LC/MS/MS system.<br />

Results and Conclusions: All analytes eluted in less than 5.5 minutes, and baseline<br />

separation was achieved for all isobaric compounds. All compounds demonstrated<br />

excellent linearity, accuracy and precision from 5-500 ng/mL. All calibration<br />

points fell within 10% <strong>of</strong> <strong>the</strong>ir target values, and %CVs were under 15%. Intraday<br />

imprecision for quality control samples at 7.5, 75, 250 and 400 ng/mL were all under<br />

10% CV with only one exception (morphine @ 7.5 ng/mL; %CV = 10.1%), and<br />

all QC samples deviated by less than 15% from target values. When compared to<br />

a simple dilution method, mixed-mode SPE resulted in significantly reduced matrix<br />

effects and improved linearity, accuracy and precision. Au<strong>the</strong>ntic urine samples,<br />

which had been previously analyzed by enzymatic hydrolysis, were also analyzed.<br />

Comparison <strong>of</strong> <strong>the</strong> two methods revealed good agreement for oxycodone and<br />

hydrocodone, which do not undergo glucuronidation. However, <strong>the</strong> method described<br />

here resulted in significantly higher calculated concentrations for total oxymorphone<br />

and hydromorphone, in agreement with previous reports <strong>of</strong> incomplete or inconsistent<br />

hydrolysis <strong>of</strong> <strong>the</strong>ir glucuronide metabolites, and emphasizing <strong>the</strong> importance <strong>of</strong> direct<br />

analysis <strong>of</strong> <strong>the</strong>se metabolites.<br />

Disclaimer: This method is intended for clinical research use only, not for use in<br />

diagnostic procedures<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A141


Tuesday, July 30, 9:30 am – 5:00 pm<br />

TDM/Toxicology/DAU<br />

A-472<br />

Effect <strong>of</strong> Piperine extract on Liver function in non-Transgenic Mice.<br />

J. R. Peela 1 , F. Elshaari 2 , E. Fathoom 2 , M. Elfrady 2 , A. M. Jarrari 2 , S.<br />

Shakila 1 , H. M. El Awamy 2 , R. Singh 3 , A. Belkheir 3 , S. D. Kolla 4 . 1 Faculty<br />

<strong>of</strong> Medicine,Quest International University Perak,, IPOH, Malaysia,<br />

2<br />

Department <strong>of</strong> Biochemistry,Faculty <strong>of</strong> Medicine,Benghazi University,<br />

Benghazi, Libyan Arab Jamahiriya, 3 Department <strong>of</strong> Pharmacognosy,Faculty<br />

<strong>of</strong> Pharmacy, Benghazi University, Benghazi, Libyan Arab Jamahiriya,<br />

4<br />

Department <strong>of</strong> Biochemistry,RangaRaya Medical College,NTR University<br />

<strong>of</strong> Health Sciences, Kakinada, India<br />

Background: Piperine extract is isolated form Piper nigrum, popularly known as<br />

black pepper. Many studies have shown its role in increasing <strong>the</strong> bioavailability <strong>of</strong><br />

certain drugs especially antibiotics. The present study conducted in our laboratory to<br />

observe its effect on <strong>the</strong> assessment <strong>of</strong> liver function using liver enzymes as specific<br />

markers <strong>of</strong> liver function.<br />

Materials and Methods: 30 non-transgenic mice CF-1 albino mice (strain 023)<br />

used for this study have been obtained from animal house, faculty <strong>of</strong> medicine,<br />

Garyounis University, Begazhi, Libya. All <strong>of</strong> <strong>the</strong>se mice were categorized into<br />

two groups. Piperine extract was isolated from Piper nigrum from <strong>the</strong> department<br />

<strong>of</strong> pharmacognosy, faculty <strong>of</strong> pharmacy, Garyounis University, Bengazhi, Libya. A<br />

group <strong>of</strong> 20 mice (test group) were administered <strong>the</strong> piperine extract for 3 weeks<br />

and ano<strong>the</strong>r group <strong>of</strong> 10 mice (control group) used as controls. Mice from both<br />

<strong>the</strong> groups were given similar diet and exposed to similar living conditions. Blood<br />

for <strong>the</strong> estimation <strong>of</strong> liver enzymes, Alanine amino transaminase, Aspartate amino<br />

transaminase and Alkaline Phosphatase and serum total protein as an indicator <strong>of</strong> liver<br />

function, was drawn by cardiocentesis after anaes<strong>the</strong>tizing <strong>the</strong> mice with ketamine<br />

and halothane from test group and control group. Mice from <strong>the</strong> test group only were<br />

given <strong>the</strong> piperine extract orally (5mgs/kg body wt) along with <strong>the</strong>ir usual diet for a<br />

period <strong>of</strong> 3 weeks. Blood was drawn again from both <strong>the</strong> groups <strong>of</strong> mice after a period<br />

<strong>of</strong> 3 weeks using <strong>the</strong> same procedure. Analysis <strong>of</strong> liver enzymes, Alanine amino<br />

transaminase, Aspartate amino transaminase, Alkaline Phosphatase (ALP) and Total<br />

proteins in serum was done using au<strong>the</strong>ntic biochemical methods available.<br />

Results: There was a significant increase in <strong>the</strong> level <strong>of</strong> serum Alanine amino<br />

transferase in mice belonging to <strong>the</strong> test group than in that <strong>of</strong> <strong>the</strong> control group (p<br />

= 0.0002). Serum Aspartate amino transferase level was significantly increased (p<br />

= 0.046) in <strong>the</strong> test group than in that <strong>of</strong> <strong>the</strong> controls. Serum Alkaline phosphatase<br />

levels have also shown a significant increase (p = 0.0001) in test group than in <strong>the</strong><br />

control group <strong>of</strong> mice. Serum total protein levels have shown a significant decrease (p<br />

= 0.011) in test group when compared to that in control group.<br />

Conclusion: Present study has shown a considerable effect on <strong>the</strong> liver function as<br />

indicated by a significant elevation in <strong>the</strong> liver enzymes in spite <strong>of</strong> its beneficial role<br />

as an enhancer <strong>of</strong> bioavailability <strong>of</strong> various drugs. This study has not only shown<br />

significant hepatocellular damage, it is also indicating an obstructive phenomenon<br />

as shown by a significant elevation in serum alkaline phosphatase levels. Fur<strong>the</strong>r<br />

research is required to substantiate <strong>the</strong>se findings. A dose dependent hepatic function<br />

study by feeding a serial dose <strong>of</strong> piperine is required to observe <strong>the</strong> effects <strong>of</strong> piperine<br />

as a hepatoprotective substance or a hepatotoxic substance.<br />

A-473<br />

An improved high performance liquid chromatography-fluorescence<br />

detection method for <strong>the</strong> analysis <strong>of</strong> Pimozide in human plasma<br />

samples<br />

A. Barassi, F. Ghilardi, C. A. L. Damele, R. Stefanelli, G. Melzi d’Eril.<br />

Dipartimento di Scienze per la Salute, Università degli Studi di Milano,<br />

Milano, Italy<br />

Background: Tourette Syndrome (TS) is a chronic neurodevelopmental disorder<br />

characterised by combined motor and vocal tics. Neuroleptic drugs are considered <strong>the</strong><br />

first choice for <strong>the</strong> treatment <strong>of</strong> TS. Pimozide represents one <strong>of</strong> <strong>the</strong> alternative <strong>the</strong>rapies<br />

and it is included in <strong>the</strong> atypical neuroleptic drugs. Since Pimozide has cardiotoxic<br />

and neurologic adverse effects, <strong>the</strong> <strong>the</strong>rapeutic drug monitoring is essential. The aim<br />

<strong>of</strong> this study was to validate a sensitive, specific and reproducible method using highperformance<br />

liquid chromatography (HPLC) with fluorescence detection and both<br />

small volumes <strong>of</strong> plasma sample and reduced quantities <strong>of</strong> reagents.<br />

Methods: The Pimozide working solutions for calibration and controls were prepared<br />

from <strong>the</strong> stock solution by adequately diluting in distilled water:methyl alcohol<br />

(50:50, v/v). The extraction procedure consisted in mixing 500 μL <strong>of</strong> plasma with 0,5<br />

mL <strong>of</strong> sodium hydroxide 1 M and 2,5 mL <strong>of</strong> n-hexane-isoamyl alcohol (49/1, v/v),<br />

followed by upernatant evaporation under a continuous nitrogen flow. The samples<br />

were reconstituted with 200 μL <strong>of</strong> an ethanol:acetonitrile:water (10:45:45, v/v)<br />

mixture. The volume injected was 50 μL.The chromatographic separation <strong>of</strong> Pimozide<br />

and internal standard (IS), i.e. dextromethorphan hydrobromide monohydrate, was<br />

performed under isocratic conditions on a ZORBAX Eclipse XDB-C18 column<br />

(4,5 x 150 mm, 5 μm particle size, Agilent Tecnologies, USA) using <strong>the</strong> mixture<br />

acetonitrile:sodium dihydrogen phosphate 50 mM (65:35, v/v) as a mobile phase<br />

with a flow rate <strong>of</strong> 1 mL/min. The fluorescence detection was performed at excitation<br />

wavelength <strong>of</strong> 285 nm and emission wavelength <strong>of</strong> 320 nm. Working solutions <strong>of</strong><br />

Pimozide and IS, were obtained from Sigma (Sigma-Aldrich, Germany). The method<br />

was validated according to <strong>the</strong> European Medicines Agency guidelines (EMA, 21<br />

July 2012).<br />

Results: IS and Pimozide retention times were at 2,66 and 11,56 min respectively.<br />

Linearity was confirmed into <strong>the</strong> range 0-100 ng/mL. No carry-over effect was<br />

observed. The precision evaluation, based on low, medium, high as well as <strong>the</strong> lower<br />

and upper limit <strong>of</strong> quantification, was satisfactory in <strong>the</strong> range tested, with relative<br />

standard deviation <strong>of</strong> 2,5-15,5% for intra-assay and 0,3-7,6% for inter-assay. The<br />

within-assay accuracy was found between -6,16 and +2,00 and <strong>the</strong> between-assay<br />

accuracy was between -5,14 and +5,90. Conclusion: This method was established,<br />

in course <strong>of</strong> validation, as precise, accurate, simple, rapid and useful for <strong>the</strong> limited<br />

volume <strong>of</strong> plasma and reagents employed. It is recommended for <strong>the</strong>rapeuthic drug<br />

monitoring in TS patients.<br />

A-474<br />

Performance <strong>of</strong> <strong>the</strong> ARKTM Methotrexate Homogeneous<br />

Immunoassay on <strong>the</strong> Roche Cobas C-501.<br />

V. C. Dias 1 , K. Gaeler 1 , D. A. Colantonio 2 , W. Walsh 2 . 1 Department <strong>of</strong><br />

Pathology and Laboratory Medicine, University <strong>of</strong> Calgary, Calgary<br />

Laboratory Services, Calgary AB,, Calgary, AB, Canada, 2 The Hospital for<br />

Sick Kids, Toronto, ON, Canada<br />

Background: Therapeutic monitoring <strong>of</strong> Methotrexate (MTX) is indicated in<br />

patients undergoing treatment <strong>of</strong> some sarcomas and neoplastic malignancies who<br />

are on high dose <strong>the</strong>rapy ( >20 mg/kg body weight). In this institution, <strong>the</strong> monitoring<br />

protocol involves measuring MTX levels 4h post dose and at 24 h, 48 h, 72 h (and<br />

96 h if necessary). To avoid serious toxicity, “rescue” treatment with folonic acid<br />

is administered until serum methotrexate levels are < 0.1 umol/L by 72 h, or until<br />

delayed excretion criteria is reached at


TDM/Toxicology/DAU<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-475<br />

Drug testing in cerebral spinal fluid by mass accuracy mass<br />

spectrometry: implications for forensic analysis<br />

A. Rutledge 1 , E. Wong 2 , J. Zeidler 3 , C. Stefan 2 . 1 McMaster University,<br />

Hamilton, ON, Canada, 2 Centre for Addiction and Mental Health,<br />

Toronto, ON, Canada, 3 Hamilton Regional Laboratory Medicine Program,<br />

Hamilton, ON, Canada<br />

Background: A patient with no significant medical history received an epidural<br />

anes<strong>the</strong>sia injection and unexpectedly died a short time later. As part <strong>of</strong> <strong>the</strong><br />

investigation, a cerebral spinal fluid (CSF) sample was collected and sent for testing.<br />

Epidurals commonly contain local anes<strong>the</strong>tics, opiates, and/or opioids, so <strong>the</strong>se were<br />

<strong>the</strong> focus <strong>of</strong> <strong>the</strong> testing.<br />

Methods: The CSF sample was diluted ten-fold with water and internal standard<br />

(cyproheptadine and phenfluramine) was added. 15 μL were <strong>the</strong>n injected into an ultra<br />

high pressure liquid chromatography (UPLC)-Q Exactive tandem mass spectrometer.<br />

The UPLC was performed with a pentafluorophenyl reverse-phase pre-column and<br />

column, using a gradient <strong>of</strong> 98% water/2% methanol to 5% water/95% methanol over<br />

15 minutes, containing 10 mmol/L ammonium formate throughout. The Q Exactive,<br />

manufactured by Thermo Fisher, combines <strong>the</strong> mass selection capabilities <strong>of</strong> a<br />

quadropole with <strong>the</strong> high resolution, accurate-mass detection <strong>of</strong> <strong>the</strong> Orbitrap TM . In this<br />

case, switching between negative and positive electrospray ionization was used, <strong>the</strong><br />

quadropole was set to scan mass-to-charge ratios <strong>of</strong> 100-800, and compounds present<br />

in <strong>the</strong> sample within this mass range were detected by <strong>the</strong> Orbitrap, which determined<br />

<strong>the</strong>ir accurate masses within five parts per million. The Q Exactive has many advantages<br />

over typical liquid chromatography-tandem mass spectrometry systems. First <strong>of</strong> all,<br />

<strong>the</strong> required sample preparation is very quick, easy, and inexpensive, and because<br />

<strong>the</strong>re is no extraction, <strong>the</strong>re is no loss <strong>of</strong> compounds. In addition, <strong>the</strong> Q Exactive<br />

can effectively perform both targeted and non-targeted searches. For non-targeted<br />

drug screening, data from a single run <strong>of</strong> a sample can be reviewed an unlimited<br />

number <strong>of</strong> times, comparing <strong>the</strong> <strong>the</strong>orectical mono-isotopic accurate mass <strong>of</strong> a drug<br />

<strong>of</strong> interest to <strong>the</strong> extacted mass chromatogram from <strong>the</strong> sample for a match. This is<br />

only possible due to <strong>the</strong> high degree <strong>of</strong> accuracy achieved in mass determination with<br />

<strong>the</strong> Orbitrap. For targeted drug investigations, for example, to confirm matches from a<br />

non-targeted approach or to quantify results, a standard (pure solution <strong>of</strong> a compound<br />

<strong>of</strong> interest) can be included in <strong>the</strong> run to compare retention times, <strong>the</strong>oretical mass,<br />

and peak areas to <strong>the</strong> patient sample. This approach is important to ensure correct<br />

identification when <strong>the</strong>re are isobaric compounds to be distinguished (e.g. morphine<br />

and hydromorphone), which cannot be done on mass alone. The data generated from<br />

running standards can also be added to a library to facilitate identification <strong>of</strong> that<br />

compound in future specimens.<br />

Results: In this case, morphine, bupivicaine, benzocaine, lidocaine, atropine,<br />

fentanyl, and ondansetron were identified as being present in <strong>the</strong> CSF sample by nontargeted<br />

screening. The concentration <strong>of</strong> fentanyl in <strong>the</strong> sample was estimated to be<br />

approximately 5 ng/mL when compared to a fentanyl standard. Ano<strong>the</strong>r laboratory<br />

using gas chromatography-mass spectrometry also found morphine and bupivicaine<br />

in <strong>the</strong> sample, confirming some <strong>of</strong> <strong>the</strong> Q Exactive findings.<br />

Conclusion: This example demonstrates <strong>the</strong> vast power <strong>of</strong> <strong>the</strong> Q Exactive, which<br />

can be exploited for identification <strong>of</strong> drugs in a specimen, especially for forensic<br />

purposes. The sample preparation required is very simple and accurate identification,<br />

and potentially quantification, are easily attained.<br />

some older AEDs (e.g. valproic acid) increases <strong>the</strong> risk <strong>of</strong> congenital malformations.<br />

Therefore, <strong>the</strong>rapeutic drug monitoring for AEDs should play an important role in <strong>the</strong><br />

management <strong>of</strong> patients on <strong>the</strong>se medicines who become pregnant. Here, we describe<br />

<strong>the</strong> measurement <strong>of</strong> a wide variety <strong>of</strong> AEDS in two groups, <strong>of</strong> pregnant women<br />

(epileptics and bipolar).<br />

Methods: We measured serum AED levels once per month through out pregnancy in<br />

both groups using a commercially available mass spectrometry kit (MassTox. TDM<br />

Series A) from Chromsystems (Munich). The assay system is capable <strong>of</strong> measuring 26<br />

different AEDs utilizing a single set <strong>of</strong> standards and a common extraction protocol.<br />

Samples are <strong>the</strong>n chromatographed on one <strong>of</strong> 5 HPLC gradients and analysis by MS/<br />

MS. For each drug we plotted <strong>the</strong> dose to plasma concentration curve and calculated<br />

apparent clearance and relative clearance.<br />

Results: Dose to plasma concentration correlations varied widely between <strong>the</strong><br />

different drugs. Almost all <strong>the</strong> drugs showed an increased clearance in <strong>the</strong> second and<br />

third trimester. This was true even for <strong>the</strong> use <strong>of</strong> <strong>the</strong> AEDs in bipolar patients where<br />

<strong>the</strong> drugs are used at much lower concentration as adjunct <strong>the</strong>rapy.<br />

Conclusions: This pilot study demonstrates <strong>the</strong> utility <strong>of</strong> <strong>the</strong>rapeutic drug monitoring<br />

<strong>of</strong> antiepileptic medications throughout pregnancy and highlights <strong>the</strong> use <strong>of</strong> LC-MS/<br />

MS in performing <strong>the</strong>se measures. Additionally, <strong>the</strong> multiplexed MRM assay used<br />

in <strong>the</strong> study allows for <strong>the</strong> analysis <strong>of</strong> several different AEDs in a single run adding<br />

efficiencies <strong>of</strong> staffing and instrument times in <strong>the</strong> process.<br />

A-476<br />

Therapeutic Drug Monitoring <strong>of</strong> Antiepileptic Drugs During<br />

Pregnancy<br />

J. C. Ritchie 1 , P. Scott-Harrell 1 , C. Ramsey 1 , R. Lukacin 2 . 1 Emory University,<br />

Atlanta, GA, 2 Chromsystems Instrument & Chemicals, Munich, Germany<br />

Background: Epilepsy is <strong>the</strong> most frequent neurological disorder worldwide with a<br />

prevalence <strong>of</strong> approximately 0.5 % in western countries. Around one quarter <strong>of</strong> people<br />

with epilepsy are women <strong>of</strong> reproductive age and most <strong>of</strong> <strong>the</strong>m use antiepileptic<br />

drugs (anticonvulsants, AEDs) for adequate control <strong>of</strong> <strong>the</strong>ir seizures. Additionally,<br />

anticonvulsants are also used for <strong>the</strong> treatment <strong>of</strong> a broad range <strong>of</strong> o<strong>the</strong>r medical<br />

conditions such as bipolar disorders, cancer, neuropathic pain, anxiety disorders and<br />

migraines. Recent clinical studies have revealed that physiologic changes during<br />

different stages <strong>of</strong> pregnancy may lead to altered pharmacokinetics (especially altered<br />

clearance) for AEDs and broad individual variations which can result in difficulty<br />

predicting appropriate drug dosages. It is also well known that fetal drug exposure to<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A143


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Hematology/Coagulation<br />

A-477<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Hematology/Coagulation<br />

Role <strong>of</strong> GGT in diagnosis <strong>of</strong> pulmonary embolism<br />

Q. Niu, M. Yue, C. Zuo, J. Jia, H. Jiang. West China Hospital <strong>of</strong> Sichuan<br />

University, Chengdu, China<br />

Objective: Increased gama-glutamyl transferase (GGT) level is associated with<br />

increased oxidative stress, which is <strong>the</strong> main causes <strong>of</strong> metabolic syndrome and <strong>the</strong><br />

development <strong>of</strong> cardiovascular disease. However, <strong>the</strong> role <strong>of</strong> GGT in pulmonary<br />

embolism (PE) is unknown. In this study, we aimed to investigate <strong>the</strong> relationship<br />

between GGT and acute PE, expecting to find a new biomarker for laboratory<br />

diagnosis <strong>of</strong> acute PE.<br />

Methods: A total <strong>of</strong> 62 patients [(20 with confirmed acute PE, 22 with acute<br />

pneumonia, 20 with acute myocardial infarction (AMI)] and 20 healthy subjects were<br />

evaluated. Acute pneumonia and AMI patients were included as disease control. GGT<br />

and D-Dimer were measured with Sysmex CA7000 automatic coagulation analyzer<br />

and Roche Cobas 8000 automatic biochemical analyzer, respectively. Kruskal-Wallis<br />

H test and Nemenyi test were performed to detect <strong>the</strong> differences among groups.<br />

Spearman’s correlation was used as a test <strong>of</strong> correlation between GGT and D-Dimer<br />

in PE patients. P Values less than 0.05 were considered significant.<br />

Results: GGT level in acute PE group was significantly higher [92.5(29.8~192.5)]<br />

than that <strong>of</strong> healthy control [16.0(13.0~24.0)] (P=0.000), as well as those <strong>of</strong> acute<br />

pneumonia group [29.0(17.0~54.8)] (P=0.011) and AMI group [29.5(18.8~44.8)]<br />

(P=0.008). PE patients with negative D-Dimer (D-Dimer


Hematology/Coagulation<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-481<br />

Optimising The Use Of A Conversion Factor For Calculation Of Total<br />

Iron Binding Capacity From Transferrin<br />

M. Rehan, N. Caruso, J. Beattie, M. Pai, A. Don-Wauchope. McMaster<br />

University and Hamilton Regional Laboratory Medicine Program,<br />

Hamilton, ON, Canada<br />

Introduction Transferrin is <strong>the</strong> body’s primary iron-transport protein, and<br />

measurements <strong>of</strong> transferrin saturation (TS) are useful in <strong>the</strong> investigation <strong>of</strong> anemia<br />

and iron overload. Total iron binding capacity (TIBC) is <strong>the</strong> maximum amount <strong>of</strong><br />

additional iron needed to saturate transferrin, and is an indirect way <strong>of</strong> assessing<br />

transferrin. Theoretically, 1 mol <strong>of</strong> transferrin binds 2 mol <strong>of</strong> ferric iron, yielding<br />

a ratio <strong>of</strong> TIBC (in μmol/L) to transferrin (in g/L) <strong>of</strong> 25.1. However, <strong>the</strong> literature<br />

reported mean ratio ranges from 17.6 to 29.2, depending upon <strong>the</strong> precision and bias<br />

<strong>of</strong> <strong>the</strong> analytic method.<br />

The Hamilton Regional Laboratory Medicine Program (HRLMP) recently moved from<br />

<strong>the</strong> Roche Modular platform, which measured serum and plasma iron and unsaturated<br />

iron binding capacity (UIBC; which when added to serum iron yields <strong>the</strong> TIBC) using<br />

a colorimetric assay, to <strong>the</strong> Abbott Architect platform, which measures plasma iron<br />

and transferrin using colorimetric and immuoturbidometric assays respectively. Our<br />

objective was to determine <strong>the</strong> ratio <strong>of</strong> TIBC to transferrin using <strong>the</strong>se two analytic<br />

platforms, in order to calculate TIBC using an optimal conversion factor.<br />

Method Routine blood samples received at <strong>the</strong> HRLMP over a three week period<br />

(Oct/Nov 2012) were used to randomly select approximately 80 samples in each<br />

<strong>of</strong> three groups (low, high and within reference interval iron and ferritin). These<br />

were subsequently analyzed for iron and UIBC on <strong>the</strong> Roche Modular and iron and<br />

transferrin on <strong>the</strong> Abbott Architect.<br />

Three methods were used to establish a conversion factor to calculate TIBC<br />

from transferrin. First, weighted linear fit was used to calculate a constant and a<br />

proportional bias, which were added toge<strong>the</strong>r to get a conversion factor. Second,<br />

each measured TIBC was divided by <strong>the</strong> corresponding measured transferrin to get<br />

individual conversion factors, which were <strong>the</strong>n averaged. Third, <strong>the</strong> sum <strong>of</strong> all TIBCs<br />

was divided by <strong>the</strong> sum <strong>of</strong> all transferrins to get a conversion factor.<br />

Result 238 samples were available for analysis. Eleven samples were excluded due<br />

to missing values and 8 outliers were excluded after reviewing <strong>the</strong> scatter plot. The<br />

weighted linear fit, using transferrin on <strong>the</strong> x-axis and TIBC on <strong>the</strong> y-axis, showed<br />

proportional bias <strong>of</strong> 21.32 and constant bias <strong>of</strong> 1.81. The sum yielded a conversion<br />

factor <strong>of</strong> 23.1. Conversion factors <strong>of</strong> 22.2 and 21.2 were derived using <strong>the</strong> second and<br />

third method, respectively.<br />

Individual values <strong>of</strong> transferrin were <strong>the</strong>n multiplied by each <strong>of</strong> <strong>the</strong> conversion factors<br />

to calculate TIBC. Descriptive statistics and box and whisker plots <strong>of</strong> <strong>the</strong> results were<br />

reviewed. The factor <strong>of</strong> 22.2 derived from individual patient results matched <strong>the</strong><br />

Roche-derived TIBC most closely.<br />

Conclusion Our derived factor <strong>of</strong> 22.2 is optimal for calculating TIBC from<br />

transferrin, and will minimize <strong>the</strong> impact <strong>of</strong> our transition from Roche Modular to<br />

Abbott Architect platforms on clinically important results. There is no analytical<br />

standard to assess transferrin saturation and thus, we recommend that laboratories<br />

derive in-house conversion factors, instead <strong>of</strong> relying on <strong>the</strong>oretical ratios.<br />

A-482<br />

Measurement <strong>of</strong> zinc protoporphyrin and non-complexed<br />

protoporphyrin in human erythrocytes by liquid chromatography<br />

K. M. Kloke, M. J. Magera, P. A. Chezick, K. M. Raymond, S. Tortorelli.<br />

Mayo Clinic, Rochester, MN<br />

Background: Erythrocyte (RBC) porphyrins consist almost entirely <strong>of</strong><br />

protoporphyrin. Increased RBC non-complexed (free) protoporphyrin (FPP)<br />

is characteristic <strong>of</strong> erythropoietic protoporphyria (EPP). In X-linked dominant<br />

protoporphyria (XLDPP), both FPP and zinc protoporphyrin (ZPP) are increased. Iron<br />

deficiency anemia is <strong>the</strong> most common cause <strong>of</strong> increased RBC ZPP with o<strong>the</strong>r causes<br />

being related to chronic intoxication caused by exposure to heavy metals, halogenated<br />

solvents, some pesticides and medications. Therefore, when total RBC porphyrins are<br />

elevated, fractionation and quantitation <strong>of</strong> ZPP and FPP is necessary to differentiate<br />

<strong>the</strong> inherited protoporphyrias from o<strong>the</strong>r potential causes <strong>of</strong> elevations. Current<br />

laboratory evaluations may consist <strong>of</strong> a total porphyrin determination, measurement <strong>of</strong><br />

ZPP by hemat<strong>of</strong>luorometry or a combination <strong>of</strong> two extractions: <strong>the</strong> first to determine<br />

<strong>the</strong> total porphyrin concentration via spectrophotometry and a second to determine<br />

ZPP and FPP utilizing high performance liquid chromatography (HPLC). Results<br />

from <strong>the</strong> total and <strong>the</strong> fractionation are combined to calculate <strong>the</strong> concentration <strong>of</strong><br />

each protoporphyrin fraction. These differential and step-wise approaches <strong>of</strong>ten<br />

yield incomplete or inefficient and time-consuming characterizations. We describe<br />

a simplified method using a single extraction and measurement <strong>of</strong> ZPP and FPP by<br />

HPLC technology alone. This modified approach has lowered <strong>the</strong> amount <strong>of</strong> supplies<br />

and reagents used (~40%) and decreased technologist time required to prepare <strong>the</strong><br />

samples (~50%).<br />

Methods: One hundred μL <strong>of</strong> washed erythrocytes was added to 200 μL <strong>of</strong> water<br />

to lyse <strong>the</strong> cells. Porphyrins were extracted from <strong>the</strong> sample using 1 mL <strong>of</strong> ethyl<br />

acetate: acetic acid (80:20, v:v). After vortexing and centrifugation, 25 μL <strong>of</strong> <strong>the</strong><br />

supernatant was injected onto a HPLC system with fluorescence detection (Shimadzu<br />

Corporation, Columbia, Maryland). The excitation wavelength was set at 408 nm<br />

with an initial emission wavelength at 589 nm, switched to 632 nm after 6 minutes.<br />

The analytical time was 10 minutes for an isocratic elution using methanol: aqueous<br />

phosphate buffer, pH 3.5 (90:10, v:v).<br />

Results: Method performance was demonstrated through imprecision, linearity,<br />

recovery and specimen stability studies. Intra-run imprecision coefficients <strong>of</strong><br />

variation (CVs) ranged from 2.0% to 5.7% for ZPP and 0% to 6.2% for FPP. Interrun<br />

imprecision CVs for ZPP ranged from 6.9% to 8.9% and 0% to 4.5% for FPP.<br />

Linearity studies were performed using standard solutions <strong>of</strong> known concentrations.<br />

Linearity was demonstrated for each analyte over <strong>the</strong> range 10 to 250 μg/dL, yielding<br />

<strong>the</strong> following relationships: y ZPP<br />

= 0.896x + 3.44, R 2 = 0.9979; y FPP<br />

= 1.053x +<br />

0.4772, R 2 = 0.9994. Recoveries averaged 79% for ZPP and 89% for FPP across <strong>the</strong><br />

analytical measurement range. A stability study demonstrated that ZPP and FPP in<br />

washed erythrocyte specimens are stable without any significant change in analyte<br />

concentration at ambient, refrigerated and frozen (-20ºC) temperatures for up to 14<br />

days and through 3 freeze/thaw cycles.<br />

Conclusion: This streamlined evaluation by HPLC is a cost effective method<br />

modification providing simultaneous, rugged and reliable analysis <strong>of</strong> zinc<br />

protoporphyrin and non-complexed protoporphyrin in washed erythrocytes for <strong>the</strong><br />

differential evaluation <strong>of</strong> an inheritable protoporphyria versus o<strong>the</strong>r causes.<br />

A-483<br />

Nitric oxide synthase (NOS) in thin films as a nitric oxide-generating<br />

coating to counteract thrombosis on medical devices<br />

B. Gunasekera, M. Bayachou. Cleveland State University, Cleveland, OH<br />

Thrombosis is a major problem on blood-contacting medical devices. Artificial<br />

coatings releasing small amounts <strong>of</strong> nitric oxide (NO) are known to counteract platelet<br />

adhesion, and <strong>the</strong> thrombosis cascade. Sources releasing NO have been proposed<br />

as coatings for blood-contacting devices. We proposed a novel approach using<br />

recombinant NOS in thin layers, which generate NO using substrates from blood<br />

or <strong>the</strong> bathing medium. We first introduced <strong>the</strong> Layer-by-layer (LbL) adsorption <strong>of</strong><br />

inducible NOS oxygenase domain (iNOSoxy) on polyethylenimine (PEI) matrix. In<br />

<strong>the</strong> current work, we study <strong>the</strong> effect <strong>of</strong> pH and matrix structure on NOS loading onto<br />

LbL coatings. We also study <strong>the</strong> effects on <strong>the</strong> catalytic efficiency <strong>of</strong> immobilized<br />

NOS and <strong>the</strong> resulting NO fluxes.<br />

We examined how <strong>the</strong> pH <strong>of</strong> <strong>the</strong> protein solution modulates <strong>the</strong> amount <strong>of</strong> iNOSoxy<br />

adsorbed onto a PEI-coated surface. We also examined whe<strong>the</strong>r <strong>the</strong> charge density<br />

<strong>of</strong> PEI matrix can modulate enzyme loading. We used iNOSoxy solutions and both<br />

linear and branched PEI solutions to investigate <strong>the</strong> charge-driven immobilization.<br />

We used Fourier Transform infrared spectroscopy (FTIR) to characterize immobilized<br />

iNOSoxy films.<br />

Atomic force microscopy (AFM) suggests more iNOSoxy immobilized on films<br />

formed at pH 8.6 or using <strong>the</strong> branched version <strong>of</strong> <strong>the</strong> PEI matrix.<br />

We used catalytic reduction <strong>of</strong> exogenous NO mediated by immobilized iNOSoxy as<br />

a measure <strong>of</strong> activity. Results show higher activity for films immobilized at pH 8.6<br />

compared to pH 7. We monitored NO release using <strong>the</strong> Griess assay. Again, results<br />

show higher levels <strong>of</strong> NO released from films constructed with iNOSoxy solution<br />

at pH 8.6 compared to pH 7. Also, a higher average NO flux is observed from PEI/<br />

iNOSoxy LbL films having <strong>the</strong> branched version <strong>of</strong> PEI as opposed to <strong>the</strong> linear form.<br />

We will discuss <strong>the</strong>se findings in light <strong>of</strong> platelet adhesion from platelet-rich plasma<br />

on surfaces coated by <strong>the</strong> films.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A145


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Hematology/Coagulation<br />

A-484<br />

Serum free light chain (SFLC) ratio and serum protein electrophoresis<br />

(SPEP) as a substitute for 24-hour urine paraproteinuria in phase I<br />

myeloma patients.<br />

N. N. Shah 1 , J. Kaufman 2 , A. Langston 2 , E. Waller 2 , L. Boise 2 , R. Harvey 2 ,<br />

S. Lonial 2 , A. Nooka 2 . 1 Emory University, Atlanta, GA, 2 Winship Cancer<br />

Institute, Emory University, Atlanta, GA<br />

Background: Paraprotein estimation in myeloma patients includes testing SPEP,<br />

immun<strong>of</strong>ixation (SIFE), SFLC ratio, and 24-hour urine collection for UPEP and<br />

UIFE. 24-hour urine collection is a cumbersome process. Prior studies evaluating<br />

its substitution with SFLC ratio and SPEP had limitations <strong>of</strong> including variety <strong>of</strong><br />

plasma cell dyscrasias and both newly diagnosed and relapsed/refractory myeloma.<br />

We evaluated if SFLC ratio and SPEP can substitute for 24-hour urine collection in<br />

a homogenous population <strong>of</strong> advanced myeloma patients, where a shift in secretion<br />

from intact immunoglobulin to SFLC (free light chain escape) is observed.<br />

Methodology: We analyzed 116 myeloma patients that enrolled in a phase I clinical<br />

trial between 08/2006-12/2012 with SPEP, SIFE, SFLC ratios, UPEP and UIFE.<br />

Sensitivity <strong>of</strong> testing for SFLC ratios, SPEP and SIFE were compared to UIFE.<br />

Subsequently, we assessed <strong>the</strong> linear relationship between SFLC dichotomized by<br />

abnormal ratio (1.65) vs. 24-hr paraproteinuria. We used SAS version 9.3<br />

for analysis.<br />

Results: The sensitivities <strong>of</strong> SPEP, SIFE and abnormal SFLC ratio assays were 77%,<br />

95% and 96%, respectively. The sensitivity <strong>of</strong> SFLC+SPEP/SFLC+SIFE increased<br />

to 100% enabling detection <strong>of</strong> paraprotein in all patients (Table 1). In our second<br />

analysis, <strong>the</strong> quantification <strong>of</strong> SFLC correlated with 24-hr urinary paraprotein<br />

estimation. With every log increase in lambda and kappa light chains, 24-hr urinary<br />

paraprotein log increased by 0.52 times (p


Hematology/Coagulation<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-486<br />

Expansion <strong>of</strong> a Multisite, Advanced Analytical QC Program to include<br />

Prothrombin Time Testing using Sigma Statistics Based on Auto-<br />

Generated Peer Values.<br />

H. H. Harrison, D. Young, D. Sargent, J. Labarbera, C. Fereck, W. Fitt, D.<br />

Kimmich, D. Kremitske, M. Lopatka, S. Sharretts, K. Smeal, P. Dorion, R.<br />

Rolston, M. Wilkerson, E. Yu, J. Jones. Geisinger Medical Laboratories,<br />

Danville, PA<br />

Background:: We have previously described an electronically integrated method<br />

<strong>of</strong> QC standardization that includes application <strong>of</strong> <strong>the</strong> Westgard sigma statistics and<br />

OPspecs approach to selection <strong>of</strong> QC rules for chemistry analyzers across eleven<br />

Geisinger Medical Laboratories in central PA. The objective <strong>of</strong> <strong>the</strong> present project<br />

is expansion <strong>of</strong> this enterprise-wide advanced analytical QC (AAQC) approach to<br />

coagulation assays, namely prothrombin time. In contrast to chemistry QC data, <strong>the</strong><br />

coagulation control materials have no publically available peer performance data.<br />

However, with thirteen coagulation instruments, <strong>the</strong>re were sufficient data to autogenerate<br />

a peer group <strong>of</strong> target means within GML.<br />

Methods: In preparation we validated a systemwide reference range using <strong>the</strong> same<br />

lot <strong>of</strong> Neoplastine activation reagent, and <strong>the</strong>n had all labs use <strong>the</strong> same lot <strong>of</strong> QC<br />

material. A single vendor (Diagnostica Stago) was source for <strong>the</strong> instrumentation,<br />

which included <strong>the</strong> Evolution (2), Compact (4), Satellite (1), and Start4 (7); and <strong>the</strong><br />

control materials (Coag N and Coag ABN).<br />

Results: Three months <strong>of</strong> daily QC data were used to establish <strong>the</strong> baseline<br />

prothrombin time (sec) peer group targets and sigma values shown below:<br />

BASELINE PEER GROUP DATA: Oct ‘12 Nov ‘12 Dec ‘12<br />

COAG NORMAL: Mean 13.0 13.0 13.0<br />

Std Dev 0.40 0.41 .019<br />

CV 3.08% 3.15% 1.46%<br />

COAG ABNORMAL: Mean 36.9 36.9 36.6<br />

Std Dev 1.23 1.34 1.03<br />

CV 3.33% 3.63% 2.81%<br />

BASELINE SIGMA VALUES: (N=9) (N=11) (N=11)<br />

COAG NORMAL: Mean σ 7.8 8.4 8.5<br />

COAG ABNORMAL: Mean σ 7.3 7.3 6.9<br />

We found day-to-day variation <strong>of</strong> less than 4% for both controls. Site-specific mean<br />

deviations are all well within <strong>the</strong> 15% CLIA criterion for TEa, with only 3 <strong>of</strong> 62 in<br />

excess <strong>of</strong> 6.1%.<br />

Conclusion: Baseline sigma values achieved with <strong>the</strong> Stago instruments are<br />

consistently in excess <strong>of</strong> 4, <strong>the</strong> value used as <strong>the</strong> threshold for widening <strong>the</strong> initial<br />

QC warning to 1-3s. Accordingly we have adjusted <strong>the</strong> QC acceptance criteria for <strong>the</strong><br />

prothrombin time assays and are now compiling <strong>the</strong> initial enterprise-wide data for<br />

1-3s events to test <strong>the</strong> hypo<strong>the</strong>sis that, as with previously adjusted chemistry rules, <strong>the</strong><br />

new QC rules will result in a reduction <strong>of</strong> 60 to 80% false QC “stops” and associated<br />

workflow disruption.<br />

A-487<br />

Quality Control Practices in Ontario Coagulation Laboratories<br />

B. Aslan 1 , A. Raby 1 , K. M<strong>of</strong>fat 2 , R. Selby 3 , R. Padmore 4 . 1 Ontario Medical<br />

Association, Quality Management Program – Laboratory Services (QMP-<br />

LS), Toronto, ON, Canada, 2 Hamilton Regional Laboratory Medicine<br />

Program, Hamilton, ON, Canada, 3 Sunnybrook Health Sciences Centre<br />

and University Health Network, Toronto, ON, Canada, 4 Ottawa Hospital<br />

- General Campus, Ottawa, ON, Canada<br />

Background: Quality control (QC) procedures are crucial in reporting accurate<br />

patient test results. QMP-LS provides an external quality assessment program for<br />

Ontario laboratories. In 2012, a patterns-<strong>of</strong>-practice survey was conducted to ga<strong>the</strong>r<br />

and share information on current quality control practices for coagulation testing and<br />

to assess and provide guidance on recommended practices.<br />

Methods: A web-based survey questionnaire was distributed to 174 laboratories that<br />

are licensed to perform prothrombin time (reported as an international normalized<br />

ratio) (PT/INR) and activated partial thromboplastin time (APTT) in Ontario. All<br />

laboratories responded.<br />

Results: All laboratories use commercial QC materials, obtained from <strong>the</strong> analyzer’s<br />

manufacturer (75%) or ano<strong>the</strong>r source (32%). 12% also use an in-house QC<br />

comprised <strong>of</strong> pooled patient plasma. Most laboratories (PT/INR [69%] and APTT<br />

[68%]) run commercial QC at <strong>the</strong> beginning <strong>of</strong> each shift and 25% <strong>of</strong> laboratories<br />

run QC when <strong>the</strong> analyzer has not been in use for a certain length <strong>of</strong> time. A small<br />

number <strong>of</strong> participants (PT/INR [6%] and APTT [7%]) only run commercial QC at<br />

<strong>the</strong> beginning <strong>of</strong> <strong>the</strong> day. In addition, o<strong>the</strong>r participants (PT/INR [59%] and APTT<br />

[55%]) run QC following maintenance, reagent change, middle <strong>of</strong> each shift, and with<br />

every repeat sample. Laboratories determined <strong>the</strong> frequency <strong>of</strong> performing QC based<br />

on manufacturer recommendations (PT/INR [71%] and APTT [70%]). O<strong>the</strong>r factors<br />

influencing <strong>the</strong> frequency <strong>of</strong> <strong>the</strong> QC run included stability <strong>of</strong> test (PT/INR/APTT<br />

[27%]), clinical impact <strong>of</strong> incorrect test result (PT/INR [25%] and APTT [24%]),<br />

and <strong>the</strong> number <strong>of</strong> samples potentially requiring repeat analysis (PT/INR [10%] and<br />

APTT [11%]). Of note, 72 (41%) laboratories reported o<strong>the</strong>r frequency determinants.<br />

Of <strong>the</strong>se, 72% use Ontario Laboratory Accreditation (OLA) requirements, 6% use<br />

o<strong>the</strong>r guidelines, and 22% use ei<strong>the</strong>r directive from <strong>the</strong> laboratory director, past<br />

practices and/or <strong>the</strong> length <strong>of</strong> <strong>the</strong> workday. All laboratories use preset QC limits for<br />

<strong>the</strong> assessment <strong>of</strong> QC results. These limits are based on precision goals provided<br />

by manufacturers (46%), standard deviation <strong>of</strong> <strong>the</strong> QC results (66%), published<br />

precision goals (26%), and QMP-LS allowable performance limits (20%). 51 % use<br />

combination <strong>of</strong> more than one sources. For <strong>the</strong> PT/INR, 107 laboratories reported<br />

precision goals as <strong>the</strong> coefficient <strong>of</strong> variation (% CV). Of <strong>the</strong>se 59% use 5% CV while<br />

29% use less than, and 12% use greater than 5% CV. For APTT, 100 laboratories<br />

reported precision goals as % CV, 45% use 5% CV, 41% use less than 5% and 14%<br />

use between 6-25% CV.<br />

In <strong>the</strong> case <strong>of</strong> QC failure, 97% (n= 168) <strong>of</strong> <strong>the</strong> laboratories repeat <strong>the</strong> QC, if it passes<br />

results are reported, 95% (n=166) open new QC, 93% (n=161) look for trending,<br />

90% (n=156) discontinue testing, and 42% (n=73) repeat all patient samples from<br />

last acceptable QC.<br />

Conclusion: These data illustrate <strong>the</strong> wide variability in QC practices for coagulation<br />

testing in Ontario. In <strong>2013</strong>, <strong>the</strong> QMP-LS Hematology <strong>Scientific</strong> Committee will<br />

publish a Consensus Practice Recommendation to help reduce <strong>the</strong> variation in practice<br />

and encourage best practices.<br />

A-491<br />

Novel haemostatic biomarkers in acute cardioembolic stroke<br />

I. Kitajima, K. Hirano, N. Tani, K. Tanaka. University <strong>of</strong> Toyama, Toyama,<br />

Japan<br />

Background: We studied <strong>the</strong> usefulness <strong>of</strong> haemostatic biomarkers in assessing <strong>the</strong><br />

pathology <strong>of</strong> thrombus formation, subtype diagnosis, prognosis in <strong>the</strong> acute phase <strong>of</strong><br />

cerebral infarction, and differences between various haemostatic biomarkers.<br />

Methods: Our study included 69 patients (50 men and 19 women; mean age 68±12.0<br />

years) with acute cerebral infarction who had been hospitalized within 2 days <strong>of</strong><br />

stroke onset. Fibrin monomer complex (FMC), thrombin-antithrombin complex<br />

(TAT), D-dimer, and fibrin/fibrinogen degradation products (FDP) were assayed as<br />

haemostatic biomarkers on days 1, 2, 3 and 7 <strong>of</strong> hospitalization. FMC, D-dimer and<br />

FDP were assayed by turbidimetric immunoassay (TIA), and TAT was measured<br />

by time-resolved fluoroimmunoassay (TR-FIA). Changes over time in FMC, TAT,<br />

D-dimer and FDP were analyzed using <strong>the</strong> paired t test. p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Hematology/Coagulation<br />

A-492<br />

CBC PARAMETER PRECISION PROFILES FOR UNICEL DXH<br />

HEMATOLOGY SYSTEMS<br />

L. Tejidor, R. Magari, K. Lo, P. ONeil. Beckman Coulter, Miami, FL<br />

Introduction: Instrument validation includes <strong>the</strong> evaluation <strong>of</strong> system precision<br />

throughout <strong>the</strong> measuring range including medical decision levels. The concept <strong>of</strong><br />

precision pr<strong>of</strong>iles is referenced in CLSI H26-A2, with CLSI EP5-A2 providing <strong>the</strong><br />

fundamental definition for estimating repeatability. Hematology parameters have<br />

several medical decisions levels, making it necessary to characterize precision<br />

throughout <strong>the</strong> measuring range. Characterizing system precision also provides<br />

information for <strong>the</strong> determination <strong>of</strong> <strong>the</strong> lower limit <strong>of</strong> quantitation, and establishing<br />

claims at those levels. Using a method established by <strong>the</strong> authors (Magari, Lo, Tejidor)<br />

an assessment <strong>of</strong> <strong>the</strong> CBC parameters on <strong>the</strong> DxH Series <strong>of</strong> Hematology systems<br />

was evaluated providing an estimate <strong>of</strong> system precision throughout <strong>the</strong> parameter<br />

measuring range using precision pr<strong>of</strong>iles.<br />

Method: Blood samples from a multi-center study consisting <strong>of</strong> normal, abnormal and<br />

prepared samples covering <strong>the</strong> measuring range were used in <strong>the</strong> study. Ten replicates<br />

were collected for each sample. Precision pr<strong>of</strong>iles were based on <strong>the</strong> relationship<br />

between <strong>the</strong> mean for each sample and <strong>the</strong> coefficient <strong>of</strong> variation (CV%), and were<br />

modeled with a power functions as:<br />

CV = α Mean β + ε<br />

Where α and β were <strong>the</strong> parameters <strong>of</strong> <strong>the</strong> model and ε was <strong>the</strong> random error. SAS<br />

statistical s<strong>of</strong>tware was used for analysis. Precision pr<strong>of</strong>iles were estimated for <strong>the</strong><br />

CBC hematology parameters. Precision performances at different medical decision<br />

levels along with <strong>the</strong>ir 95% confidence upper bounds were also included.<br />

Results: Throughout <strong>the</strong> measuring range, <strong>the</strong> precision performance (CV%) was not<br />

constant for <strong>the</strong> CBC count parameters. PLT CV% increased to 15.8% at <strong>the</strong> lower<br />

limit <strong>of</strong> quantitation, 3.45 x 10 6 cells/uL. WBC CV% at an ultra-low level <strong>of</strong> 0.05 x<br />

10 3 cells / μL was 11.6% with an upper 95% confidence limit <strong>of</strong> 13.1%. WBC CV%<br />

at 396.4 x 10 3 cells / μL was 0.25% with an upper 95% confidence limit <strong>of</strong> 0.31%.<br />

Precision performance specifications were met for all CBC count parameters.<br />

Conclusion: Estimating <strong>the</strong> precision <strong>of</strong> hematology parameters across <strong>the</strong> measuring<br />

range using precision pr<strong>of</strong>iles provides an improved visualization <strong>of</strong> system precision<br />

for parameters at clinically relevant levels. Using a multitude <strong>of</strong> samplings, precision<br />

pr<strong>of</strong>iles provide a greater degree <strong>of</strong> confidence over <strong>the</strong> routine analysis consisting<br />

<strong>of</strong> a small number <strong>of</strong> replicates and reduces <strong>the</strong> potential for errors. The precision<br />

pr<strong>of</strong>iles provided represent typical responses for <strong>the</strong> CBC parameters as performed on<br />

DxH Series Hematology systems under routine laboratory conditions. Instrument and<br />

laboratory conditions are variables that should be considered as <strong>the</strong>y may contribute<br />

to <strong>the</strong> actual precision performance results obtained.<br />

A-493<br />

Evaluation <strong>of</strong> Data Segmentation Results using Metrics on Beckman<br />

Coulter CytoDiff Application in HematoFlow Solution<br />

C. Ramirez, C. Godefroy, J. Riley, E. Gau<strong>the</strong>rot, G. Bouvier-Borg, J.<br />

Naegelen, P. ONeil. Beckman Coulter, Miami, FL<br />

Background: The CytoDiff analysis s<strong>of</strong>tware automates <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> 10-part<br />

WBC differential provided by <strong>the</strong> flow cytometry system on <strong>the</strong> Beckman Coulter<br />

HematoFlow solution eliminating <strong>the</strong> need for manual gating. The CytoDiff CXP<br />

s<strong>of</strong>tware provides new metrics that assess <strong>the</strong> degree <strong>of</strong> certainty in <strong>the</strong> automated<br />

population classification.<br />

Methods: The s<strong>of</strong>tware encompasses two histogram based confidence metrics: a<br />

region separability score and a data distribution score. The region separability score is<br />

used to analyze <strong>the</strong> data along <strong>the</strong> boundary <strong>of</strong> a region and can be applied to detect<br />

poorly separated clusters <strong>of</strong> data. The data distribution scored is used to analyze <strong>the</strong><br />

behavior <strong>of</strong> <strong>the</strong> data within <strong>the</strong> region and is useful to establish <strong>the</strong> similarity <strong>of</strong> <strong>the</strong><br />

data to a known distribution (e.g. Gaussian). Low scores on data distribution might<br />

be caused by noise, debris or events originating from a bigger population ra<strong>the</strong>r than<br />

from a pure data cluster.<br />

Population based confidence metrics collect and summarize <strong>the</strong> information from<br />

independent metrics. Histogram based metrics for each <strong>of</strong> <strong>the</strong> regions involved in <strong>the</strong><br />

identification <strong>of</strong> a population are combined to take into account <strong>the</strong>ir interdependency.<br />

O<strong>the</strong>r metrics, such as estimated percent <strong>of</strong> aggregation, template matching score or<br />

<strong>the</strong> like are also incorporated in <strong>the</strong> population based metric. Metrics are weighted to<br />

account for <strong>the</strong>ir numerical significance. The CytoDiff s<strong>of</strong>tware provides a population<br />

based confidence metric for each <strong>of</strong> <strong>the</strong> populations in <strong>the</strong> 10-part Differential.<br />

Results: 844 CytoDiff sample runs collected along with Manual reference were<br />

analyzed to characterize <strong>the</strong> behavior <strong>of</strong> <strong>the</strong> Blast confidence score metric when<br />

plotted against <strong>the</strong> difference between <strong>the</strong> reported CytoDiff Total Blast % and <strong>the</strong><br />

Manual Reference Blast %. Polynomial models are used to capture <strong>the</strong> overall data<br />

behavior.<br />

The data shows a tendency for samples to have a low Blast confidence score as<br />

<strong>the</strong> numerical difference between <strong>the</strong> two methods increases. The data was divided<br />

according to <strong>the</strong> amount <strong>of</strong> Blast % reported in <strong>the</strong> Manual reference.<br />

Conclusion: The CytoDiff analysis s<strong>of</strong>tware provides a set <strong>of</strong> metrics (i.e., numerical<br />

values) used in conjunction with o<strong>the</strong>r parameters to assess <strong>the</strong> certainty <strong>of</strong> <strong>the</strong><br />

population classification, thus enhancing <strong>the</strong> laboratory’s review and auto-validation<br />

<strong>of</strong> process.<br />

CytoDiff is not available for in vitro diagnostic use in <strong>the</strong> United States.<br />

A-494<br />

The Stability <strong>of</strong> Anti Xa Activity on Frozen Plasma Samples For a One<br />

Year Period<br />

K. Finnegan, G. Hornstein, D. Kochhar, T. Smith. Stony Brook University,<br />

Stony Brook, NY<br />

Laboratories routinely freeze plasma samples for coagulation reflex testing; however,<br />

<strong>the</strong> stability <strong>of</strong> Anti-Xa activity has not been measured over <strong>the</strong> long-term. Heparin<br />

and LMWH are anticoagulants that can be monitored using an Anti-Xa assay. The<br />

study was initiated to validate <strong>the</strong> integrity <strong>of</strong> frozen samples, thawed and tested at day<br />

1, month 1, month 3, month 6 and one year when performing an Anti-Xa assay using<br />

a chromogenic method. One-hundred and three plasma samples were acquired from<br />

patients on heparin between ages 35 and 65 with Anti Xa values ranging from 0.1. to<br />

1.15 IU/ml. Using a pre-calibrated pipette, 0.5 mL aliquots were transferred to labeled<br />

micro-centrifuge tubes, and subsequently frozen at -70⁰C (with <strong>the</strong> exception <strong>of</strong> day 1<br />

which was tested upon arrival to <strong>the</strong> laboratory). On respective testing days, samples<br />

were thawed in a 37⁰C water bath for five minutes. The Anti Xa assay was performed<br />

on a STA Compact® with STA Rotachrom Heparin®; STA Heparin Control®; STA<br />

Quality HBPM/LMWH®; STA Hepanorm H (UFH) ®; and STA Calibrator HBPM/<br />

LMWH®. Assays were performed in singlicate and <strong>the</strong> values were compared at day<br />

1, month 1, month 3, month 6 and one year by linear regression. Linear regression<br />

analysis demonstrated a strong correlation between day I and one year values (R 2 ). An<br />

R 2 value <strong>of</strong> .98, .96, .97, and .98 was observed when comparing results for day 1 with<br />

month 1, month 3, month 6, and one year respectively representing a strong linear<br />

association, or little change in <strong>the</strong> amount <strong>of</strong> active heparin.<br />

Linear Regression<br />

N Slope Intercept R 2<br />

Month 1 102 .969 -0.0149 .978<br />

Month 3 103 .972 -0.0011 .961<br />

Month 6 103 .980 0.0216 .974<br />

One Year 76 .976 -0.0027 .980<br />

Our Conclusion is that frozen plasma thawed and tested at day 1, month 1, month 3,<br />

month 6 and one year yields stable laboratory results when analyzing Anti-Xa activity.<br />

A-495<br />

Prognosis <strong>of</strong> Chronic Myelogenous Leukemia and Acute Lymphoblastic<br />

Leukemia patients with BCR-ABL Fusion Gene subtypes<br />

Y. Ye, J. Zhou, Y. Zhou, X. Song, Y. Zhou, J. Wang, l. Lin, B. Ying, X. Lu.<br />

West China hospital <strong>of</strong> Sichuan university, Chengdu, China<br />

Background: It is now reported that about 15-20% adult acute lymphoblastic leukemia<br />

(ALL) have <strong>the</strong> characteristic t(9;22)(q34;q11) cytogenetic o<strong>the</strong>r than 90-95% cases<br />

<strong>of</strong> chronic myeloid leukemia(CML) and different subtypes were found such as M-bcr,<br />

m-bcr and μ-bcr. It is known that CML patients show a higher prevalence <strong>of</strong> M-bcr<br />

and ALL patients show a higher prevalence <strong>of</strong> m-bcr, but <strong>the</strong> relationship between<br />

BCR-ABL subtypes in progression <strong>of</strong> CML and ALL is still not fully understood. In<br />

this study, clinico-biogical risk factors were collected and assessed in order to make a<br />

preliminary investigation on <strong>the</strong> relationship between BCR-ABL subtype and patient<br />

feature in different disease entities.<br />

A148 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Hematology/Coagulation<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Methods: 349 CML chronic phase(CML-CP) patients and 71 ALL patients before<br />

treatment detected as BCR-ABL fusion gene positive were involved in this study and<br />

were divided into M-bcr , m-bcr and mixed group. Clinico-biogical risk factors at<br />

diagnosis were collected and assessed in order to make a preliminary investigation<br />

on <strong>the</strong> relationship between BCR-ABL subtypes. To fur<strong>the</strong>r analysis <strong>the</strong> relationship<br />

between BCR-ABL subtype and prognosis for CML and ALL patients, patients under<br />

imatinib treatment were followed with BCR-ABL relative concentration collected after<br />

3 months, 6 months, 9 months and 1 year.<br />

Results: Our results indicates that <strong>the</strong>re are significant difference between CML-CP,<br />

CML-BP and ALL group (p 455 AU, on <strong>the</strong> base <strong>of</strong> cut-<strong>of</strong>f value, determined by ROC analysis (area under <strong>the</strong><br />

curve was 0.864, with 0.84 specificity and 0.78 sensitivity). We studied 54 patients<br />

with good response to chronic daily 75 mg clopidogrel and 81 mg aspirin <strong>the</strong>rapy after<br />

coronary artery stenting and 50 patients with low response and HPR. Blood samples<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A149


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Hematology/Coagulation<br />

were drawn into tubes containing hirudin at least 14 h after <strong>the</strong> loading or maintaining<br />

doses <strong>of</strong> clopidogrel. Genotyping <strong>of</strong> <strong>the</strong> CYP2C19*2 (681 G>A) and 2C19*17 (-806<br />

C>T) variants was done by TaqMan SNP assay.<br />

Results: Compared with normal response (ADP-test 220±80 AU), <strong>the</strong> thienopyridine<br />

treatment was switched from clopidogrel to prasugrel 10 mg/d (ADP-test 250±82<br />

AU) in 36 <strong>of</strong> 50 patients with HPR (ADP-test 660±95 AU). Three out <strong>of</strong> <strong>the</strong> nonresponder<br />

patients required higher maintaining dose <strong>of</strong> prasugrel (15 mg daily). At<br />

least one CYP2C19*2 allele was present in 53 <strong>of</strong> all 104 patients genotyped: <strong>the</strong><br />

*2 allele frequency was higher in low response patients (HPR) than in patients with<br />

good response (37/100 (37.0 %) vs. 18/108 (16.7 %), Chi 2 11.04, p < 0.05). The<br />

CYP2C19*17 allele was found in 44 patients: <strong>the</strong> *17 allele frequency was similar in<br />

both groups studied (25/108 (23.1 %) vs. 23/100 (23.0 %), Chi 2 0.00, p = n.s.).<br />

Conclusion: Carriers <strong>of</strong> CYP2C19*2 allele have higher platelet reactivity and show<br />

good response to prasugrel than non-carriers.<br />

A-500<br />

A clotting AT assay insensitive to Heparin C<strong>of</strong>actor II<br />

M. Goldford, N. Nnachi. r2 Diagnostics, Inc., South Bend, IN<br />

Background: ThromboTek AT, an APTT based factor assay, is a patented clotting<br />

AT assay under development as an alternative to expensive chromogenic AT assays.<br />

Because <strong>the</strong> penultimate reaction in any clotting assay is fibrinogen cleavage by<br />

generated thrombin, this study was undertaken to determine any possible interference<br />

from Heparin C<strong>of</strong>actor II. HCII was shown in <strong>the</strong> early 1980’s to interfere in human<br />

thrombin based chromogenic AT assays <strong>of</strong> that era and caused a 10-15% overestimation<br />

<strong>of</strong> AT concentration. Most current AT assays use ei<strong>the</strong>r bovine thrombin or bovine<br />

FXa to circumvent this concern.<br />

Methods: Two experimental approaches were taken. In <strong>the</strong> first, dilution series <strong>of</strong><br />

pooled plasma were prepared with ei<strong>the</strong>r IBS or IBS supplemented with 90 ug/mL<br />

<strong>of</strong> purified HCII, <strong>the</strong> physiologically normal concentration <strong>of</strong> HCII in plasma. In<br />

<strong>the</strong> second approach dilution series <strong>of</strong> pooled plasma in AT deficient plasma were<br />

prepared and supplemented with ei<strong>the</strong>r a neutralizing antibody to human HCII or a<br />

non immune antibody.<br />

The experiment with added HCII was tested on <strong>the</strong> STA Compact, and included<br />

an arm wherein <strong>the</strong> samples were also tested with <strong>the</strong> bovine FXa based Stago<br />

STACHROM ATIII chromogenic assay. The experiment with added neutralizing<br />

antibody was tested on <strong>the</strong> Stago ST4. Regression and analysis <strong>of</strong> covariance <strong>of</strong> <strong>the</strong><br />

data were performed with JMP version 7 by SAS.<br />

Results: The 95% confidence intervals <strong>of</strong> <strong>the</strong> slopes and intercepts <strong>of</strong> <strong>the</strong> added HCII<br />

experiment using <strong>the</strong> ThromboTek AT assay showed considerable overlap, suggesting<br />

coincident regression lines <strong>of</strong> <strong>the</strong> measured AT regardless <strong>of</strong> <strong>the</strong> experimental<br />

treatment. In contrast, while <strong>the</strong> 95% CI for <strong>the</strong> slopes <strong>of</strong> <strong>the</strong> STACROM ATIII assay<br />

also showed considerable overlap, <strong>the</strong> 95% CI <strong>of</strong> <strong>the</strong> intercepts were non overlapping,<br />

suggesting parallel slopes with a biased intercept <strong>of</strong> <strong>the</strong>se regressions. The ANCOVAR<br />

p value <strong>of</strong> <strong>the</strong> treatment effect <strong>of</strong> HCII was 0.044 for <strong>the</strong> ThromboTek assay and<br />

0.0001 for <strong>the</strong> Stago assay. The 95% CI <strong>of</strong> <strong>the</strong> slopes and intercepts <strong>of</strong> <strong>the</strong> neutralizing<br />

antibody experiment with <strong>the</strong> ThromboTek assay also showed overlapping slopes and<br />

intercepts, again suggesting coincident regression lines. The ANCOVAR p value <strong>of</strong><br />

<strong>the</strong> treatment effect <strong>of</strong> <strong>the</strong> antibody was 0.172.<br />

Conclusion:<br />

We see in <strong>the</strong> added HCII experiment that <strong>the</strong> ThromboTek AT assay shows no more<br />

sensitivity to HCII than <strong>the</strong> bovine FXa based STACHROM assay, and see no HCII<br />

effect in <strong>the</strong> neutralizing antibody experiment. We conclude that HCII does not<br />

interfere in <strong>the</strong> ThromboTek AT assay.<br />

A-501<br />

Comparability <strong>of</strong> <strong>the</strong> Bloodhound Integrated Hematology System to<br />

<strong>the</strong> Sysmex XE5000<br />

D. Zahniser 1 , J. Linder 2 , M. Zahniser 1 , D. Bracco 3 , T. Allen 3 , J. W.<br />

Winkelman 4 . 1 Constitution Medical Inc, Boston, MA, 2 University <strong>of</strong><br />

Nebraska Medical Center, Omaha, NE, 3 Constitution Medical Inc,<br />

Westborough, MA, 4 Harvard Medical School, Boston, MA<br />

INTRODUCTION: The Bloodhound Integrated Hematology System (Constitution<br />

Medical Inc., Westborough, MA, USA) employs a proprietary method to perform an<br />

automated CBC, WBC differential and reticulocyte count by applying undiluted whole<br />

blood onto a microscope slide and staining <strong>the</strong> resultant monolayer. The instrument<br />

<strong>the</strong>n uses multispectral image analysis to count and classify cells, and determine o<strong>the</strong>r<br />

CBC parameters. The Bloodhound Instrument does not use impedance, conductance<br />

or laser-based methods for cell measurement. For specimens “flagged” for potential<br />

abnormality, data and images from a 600 cell WBC differential count, as well as RBC,<br />

PLT and o<strong>the</strong>r cells are available for a technologist to view on a computer monitor<br />

if “flagged” for potential abnormality. This study assesses <strong>the</strong> comparability <strong>of</strong> <strong>the</strong><br />

Bloodhound Instrument to a widely used automated hematology analyzer.<br />

METHOD: This study was performed on over one-thousand (1,183) whole blood<br />

samples including normal and abnormal specimens from patients seen at an academic<br />

medical center. Samples were processed on both a Sysmex XE-5000 (Sysmex<br />

Corporation, Kobe, Japan) and on a Bloodhound Instrument to assess comparability<br />

(r) between <strong>the</strong> two systems for thirteen (13) common parameters. This study was<br />

performed consistent with <strong>the</strong> ICSH Guidelines, and CLSI H26-A2 and CLSI EP9-A2<br />

standards<br />

RESULTS: Correlation <strong>of</strong> Bloodhound Instrument and Sysmex XE5000<br />

Parameter r Slope Bias<br />

WBC 0.99 1.04 0.07<br />

RBC 0.99 0.95 0.03<br />

HGB 0.99 1.02 -0.07<br />

MCV 0.90 1.06 -0.43<br />

HCT 0.97 1.04 -0.15<br />

MCH 0.99 0.99 -0.25<br />

PLT 0.98 0.99 -4.08<br />

MPV 0.85 0.99 -0.28<br />

NEUT 0.98 0.99 1.68<br />

LYMPH 0.98 0.96 -2.02<br />

MONO 0.82 0.89 0.57<br />

EO 0.97 0.97 0.04<br />

BASO 0.69 0.92 0.20<br />

CONCLUSION: The Bloodhound Instrument shows excellent comparability<br />

to a widely used automated hematology analyzer. The variation in results between<br />

<strong>the</strong>se two instruments was similar to that typically seen between different instrument<br />

platforms for all <strong>of</strong> <strong>the</strong> common CBC parameters. These data indicate that <strong>the</strong><br />

innovative technical approach <strong>of</strong> a slide-based CBC and WBC differential by<br />

<strong>the</strong> Bloodhound instrument performs well over a wide range <strong>of</strong> specimens types<br />

and compares favorably to existing technologies. *The Bloodhound Integrated<br />

Hematology System is under development and is not currently cleared by <strong>the</strong> Food<br />

and Drug Administration.<br />

A-502<br />

Imprecision Study <strong>of</strong> <strong>the</strong> Bloodhound Integrated Hematology<br />

System<br />

D. Bracco 1 , K. Horton 1 , D. Zahniser 1 , W. Swinehart 1 , M. Braga 1 , T. Allen 1 ,<br />

J. W. Winkelman 2 , J. Linder 3 . 1 Constitution Medical Inc, Westborough, MA,<br />

2<br />

Harvard Medical School, Boston, MA, 3 University <strong>of</strong> Nebraska Medical<br />

Center, Omaha, NE<br />

INTRODUCTION: The Bloodhound Integrated Hematology System (Constitution<br />

Medical Inc., Westborough, MA, USA) employs a proprietary method to perform<br />

an automated CBC and WBC differential by applying undiluted whole blood onto<br />

a microscope slide, staining <strong>the</strong> slide <strong>the</strong>n using multispectral image analysis to<br />

count and classify cells, including nRBC and reticulocytes, and determine o<strong>the</strong>r CBC<br />

parameters, such as HGB, HCT, MCV, MCH and MPV. This study evaluated <strong>the</strong><br />

imprecision <strong>of</strong> <strong>the</strong> Bloodhound Instrument across a wide range <strong>of</strong> normal samples and<br />

in various abnormal samples at medically important decision thresholds<br />

METHOD: The study was run according <strong>the</strong> ICSH Guidelines to determine<br />

imprecision (%CV). Nine (9) whole blood samples with sufficient volumes were<br />

collected from <strong>the</strong> routine workload at an academic medical center for each <strong>of</strong> <strong>the</strong><br />

following ranges: WBC (x10 3 /μL) 2.0- >25.0, RBC (x10 6 /μL) 3.0 - >5.5, HGB (g/<br />

dL) 10- >16.0, PLT (x10 3 /μL) 50- >400. Additionally, three (3) abnormal whole blood<br />

samples were collected for each <strong>the</strong> following abnormal conditions in <strong>the</strong> ranges<br />

specified: Anemia- 6-10 g/dL HGB, Thrombocytopenia-


Hematology/Coagulation<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

CONCLUSION: The imprecision <strong>of</strong> <strong>the</strong> Bloodhound instrument was very low<br />

for RBCs and <strong>the</strong>ir associated indices, WBCs and PLTs. Results for all parameters<br />

were well-within CLIA thresholds, and equal to or better than <strong>the</strong> published %CV<br />

<strong>of</strong> automated hematology analyzers that employ flow methods with impedance and/<br />

or laser-based detection. The imprecision results for abnormal samples were also<br />

favorable considering <strong>the</strong> wide range <strong>of</strong> variability typically seen in <strong>the</strong>se types <strong>of</strong><br />

samples. In particular, <strong>the</strong> imprecision results for <strong>the</strong> anemic samples were excellent<br />

and showed that <strong>the</strong> Bloodhound Instrument is capable <strong>of</strong> producing consistent<br />

values in <strong>the</strong>se medically important decision ranges. *The Bloodhound Integrated<br />

Hematology System is under development and is not currently cleared by <strong>the</strong> Food<br />

and Drug Administration.<br />

A-503<br />

Inter-instrument Reproducibility <strong>of</strong> <strong>the</strong> Bloodhound Integrated<br />

Hematology System<br />

W. Swinehart 1 , T. Allen 1 , D. Bracco 1 , D. Zahniser 1 , J. Linder 2 , J. W.<br />

Winkelman 3 . 1 Constitution Medical Inc, Westborough, MA, 2 University <strong>of</strong><br />

Nebraska Medical Center, Omaha, NE, 3 Harvard Medical School, Boston,<br />

MA<br />

Introduction: Assessing <strong>the</strong> reproducibility <strong>of</strong> split samples across multiple<br />

hematology analyzers is essential to assure that <strong>the</strong> device produces clinically valid<br />

results. The Bloodhound Integrated Hematology System (Constitution Medical<br />

Inc., Westborough, MA, USA) is a recently developed analyzer that uses proprietary<br />

technology to perform a CBC, WBC differential and reticulocyte count by drawing<br />

undiluted whole blood into a dispensing needle that places a precise volume uniformly<br />

onto a microscope slide for analysis. This study evaluated reproducibility when <strong>the</strong><br />

same whole blood sample was processed on three different Bloodhound Instruments.<br />

Methods: The experiment was run on three (3) instruments on two (2) different<br />

days, at ambient temperature. The analyzers were calibrated with whole blood, and<br />

controlled with stabilized material (Streck, Omaha, NE). Forty (40) normal, and three<br />

(3) whole blood samples from patients with leukopenia, anemia and thrombocytopenia<br />

were collected in K 2<br />

ethylenediaminetetraacetic acid (EDTA) and processed on <strong>the</strong><br />

Bloodhound instruments within eight (8) hours <strong>of</strong> collection. This study employed<br />

statistical methods outlined in <strong>the</strong> Clinical and Laboratory Standards Institute (CLSI)<br />

EP5-A2 standard to determine pooled within-run repeatability, inter-instrument<br />

reproducibility and total imprecision<br />

Results: Summary Imprecision Data for normal subjects (%CV (95% CI)<br />

Parameter Repeatability Reproducibility Imprecision<br />

WBC 3.15(2.89-3.46) 0.95 (0.47-9.62) 3.54(3.19-3.99)<br />

RBC 1.01(0.93-1.11) 0.086 (0.026--) 1.24(1.13-1.36)<br />

PLT 3.38 (3.10-3.71) 2.14(1.09-15.70) 4.58 (3.71-5.98<br />

HGB 1.23 (1.13-1.35) 0.38 (0.18-6.18) 1.64(1.47-1.85)<br />

HCT 1.37 (1.25-1.50) 0.48 (0.23-5.84) 1.79(1.60-2.04)<br />

MCV 1.02 (0.94-1.12) 0.440 (0.22-4.33) 1.383(1.210-1.61)<br />

MCH 0.66 (0.61-0.73) 0.31 (0.15-3.19) 0.97(0.85-1.14)<br />

#Neut 4.04 (3.698-4.424) 1.04(0.50-12.37) 4.45(4.04-4.94)<br />

#Lymph 8.72 (8.00-9.58) 0.81(0.31-810.64) 8.815(8.164-9.58)<br />

#Mono 14.415(13.23-15.83) 0.000 (---) 14.67(13.59-15.95)<br />

#Eos 32.79(30.10-36.01) 2.01 (0.671--) 31.78 (29.5-34.46)<br />

For abnormal samples <strong>the</strong> same parameters <strong>of</strong> within-run repeatability, interinstrument<br />

reproducibility and total imprecision were assessed on 3 instruments (%CV<br />

(95% CI): WBC repeatability 4.81 (3.64-7.12) reproducibility 9.11(4.66-65.53) total<br />

imprecision 10.43 (5.96-37.07); RBC repeatability 1.26 (0.95-1.86) reproducibility<br />

1.29 (0.66-8.87) total imprecision 1.69 (1.07-3.96); PLT repeatability 24.42 (18.45-<br />

36.12) reproducibility 4.47 (1.33--) total imprecision 24.18 (18.81-33.87)<br />

Conclusions: The inter-instrument reproducibility <strong>of</strong> <strong>the</strong> Bloodhound Instrument<br />

is consistent across <strong>the</strong> three (3) instruments included in <strong>the</strong> study. The results<br />

demonstrate that <strong>the</strong> Bloodhound Instrument has excellent reproducibility for<br />

commonly measured parameters in <strong>the</strong> CBC.<br />

*The Bloodhound Integrated Hematology System is under development and is not<br />

currently cleared by <strong>the</strong> Food and Drug Administration.<br />

A-504<br />

Platelet Counting by Multi-Spectral Analysis with <strong>the</strong> Bloodhound<br />

Integrated Hematology System Versus Flow Cytometry and <strong>the</strong><br />

Sysmex XE-5000<br />

D. Bracco 1 , M. Braga 1 , D. Hawkins 2 , J. W. Winkelman 3 , J. Linder 4 , J. Tabor 1 ,<br />

D. Zahniser 1 . 1 Constitution Medical Inc., Westborough, MA, 2 University<br />

<strong>of</strong> Minnesota, Minneapolis, MN, 3 Harvard Medical School, Boston, MA,<br />

4<br />

University <strong>of</strong> Nebraska Medical Center, Omaha, NE<br />

INTRODUCTION: Accurate platelet counting in a CBC especially important<br />

for transfusion decisions. The Bloodhound Integrated Hematology System<br />

(Constitution Medical Inc., Westborough, MA) (Bloodhound Instrument) is a recently<br />

developed automated hematology analyzer that performs a CBC and WBC differential<br />

and reticulocyte determination by applying whole blood onto a microscope slide,<br />

staining, <strong>the</strong>n performing multispectral imaging. This study evaluated <strong>the</strong> accuracy<br />

<strong>of</strong> automated platelet (PLT) counts from <strong>the</strong> Bloodhound Instrument compared to<br />

those <strong>of</strong> established instrumentation (Sysmex XE-5000, Kobe, Japan) and by flow<br />

cytometry (Cytomics FC 500, Beckman Coulter, Miami, FL).<br />

METHOD: Residual samples were collected in K2 EDTA blood collection tubes and<br />

processed within eight (8) hours <strong>of</strong> venipuncture. Platelet counts ranging from 0-50 to<br />

> 600 (x 10 3 /μL) were determined on both hematology analyzers using split samples.<br />

Flow-based platelet counting was done with monoclonal antibodies(Anti-Human<br />

CD41-FITC and Anti-Human CD61-FITC, BioLegend, San Diego, CA).<br />

RESULTS: Results were analyzed using a weighted Deming regression <strong>of</strong> both<br />

automated hematology instruments against flow cytometry. Confidence intervals for<br />

intercept and slope <strong>of</strong> <strong>the</strong> regressions were determined using jack-knifing, and Bland-<br />

Altman plots were constructed.<br />

Summary Statistics for Sysmex XE-5000 and Bloodhound Instrument<br />

Instrument Correlation Parameter Estimate 95% CI<br />

Sysmex 0.972 Intercept 1.424 0.078 2.771<br />

Slope 1.016 0.972 1.059<br />

Bloodhound 0.990 Intercept 8.076 0.980 15.172<br />

Slope 0.961 0.910 1.011<br />

Both analyzers had positive intercepts indicating an upward bias at very low platelet<br />

levels. Regression slopes were not statistically significantly different, and showed<br />

high correlations with flow cytometry. The Bland-Altman plots showed no significant<br />

bias between <strong>the</strong> Bloodhound Instrument and flow cytometry. The bias was constant<br />

with no upward or downward swings associated with high or low PLT counts.<br />

CONCLUSION: When compared to a flow cytometry reference method, PLT counts<br />

from <strong>the</strong> Bloodhound Instrument demonstrate high correlation across a wide range <strong>of</strong><br />

concentrations. The Bloodhound Instrument also has excellent PLT count correlation<br />

with <strong>the</strong> Sysmex XE-5000, a widely used hematology analyzer.<br />

*The Bloodhound Integrated Hematology System is under development and is not<br />

currently cleared by <strong>the</strong> Food and Drug Administration.<br />

A-505<br />

Performance evaluation <strong>of</strong> Actin FSL reagent for Activated Partial<br />

Thromboplastin Time (APTT) detection.<br />

M. P. REZENDE, C. PEREIRA, R. IANNACCARO. DASA S/A, SÃO<br />

PAULO, Brazil<br />

Background: The Activated Partial Thromboplastin Time (APTT) is an in vitro<br />

screening procedure, primarily used to evaluate coagulation system abnormalities<br />

in <strong>the</strong> intrinsic pathway. Its result may indicate altered functional deficiency <strong>of</strong><br />

factors VIII, V, X, XI and II. Fur<strong>the</strong>rmore, APTT is an universally recognized test<br />

which monitor unfractionated heparin <strong>the</strong>rapy that makes clotting time prolongation<br />

proportional to <strong>the</strong> heparin level. The presence <strong>of</strong> nonspecific suppressive substances<br />

such as lupus anticoagulant may cause a prolonged APTT. The detection depends on<br />

<strong>the</strong> composition <strong>of</strong> APTT phospholipids contained in <strong>the</strong> reagent. APTT determination<br />

is a valuable clinical screening with wide possibilities <strong>of</strong> use in diagnosing coagulation<br />

disorders and monitoring patient’s <strong>the</strong>rapy prone to bleeding or thrombosis.<br />

Plasma Incubation with <strong>the</strong> optimal quantity <strong>of</strong> phospholipids (vegetable and/or<br />

animal) and an activator (ellagic acid) leads to factors activation <strong>of</strong> <strong>the</strong> endogenous<br />

clotting system. The coagulation process is initiated with <strong>the</strong> addition <strong>of</strong> calcium<br />

chloride and <strong>the</strong> time is measured until <strong>the</strong> formation <strong>of</strong> <strong>the</strong> fibrin clot.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A151


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Hematology/Coagulation<br />

Methods: Two reagents were used for this study: Actin and Actin FSL which<br />

have reference ranges as follows: 22,7 to 31,8 seconds and 25,0 to 31,3 seconds,<br />

respectively. Fresh samples were simultaneously processed within four hours after<br />

blood drawn in both protocols in two hospital laboratories. In Hospital Campo Limpo,<br />

fifty samples (n=50) were tested using Siemens Sysmex ® CA-1500 System and in<br />

Hospital Marcia Maria Braido, seventeen samples (n=17) were tested using Siemens<br />

Sysmex ® CA-560 System.<br />

Results: Comparative results analysis using linear regression are <strong>the</strong> following for<br />

Hospital Campo Limpo, Mean <strong>of</strong> 28,04 seconds (Actin) and 28,79 seconds (Actin<br />

FSL), slope is 0,64, intercept is 10,79 and correlation (r) is 0,93; and for Hospital<br />

Marcia Maria Braido, mean is 33,36 seconds (Actin) and 32,11 seconds (Actin FSL),<br />

slope is 0,74, intercept is 7,19 and correlation (r) is 0,98.<br />

Conclusion: Study concludes Actin and Actin FSL have good correlation when<br />

tested in both systems. Moreover, Actin FSL performance was satisfactory for both<br />

instruments, Siemens Sysmex CA-560 and Siemens Sysmex CA-1500. The Actin FSL<br />

reagent is more sensitive for <strong>the</strong> detection <strong>of</strong> Lupus-like inhibitors and its use adds<br />

value to <strong>the</strong> APTT test as a screening tool.<br />

A-506<br />

Cleavage site Arg1018 by thrombin plays minimal role during<br />

activation <strong>of</strong> coagulation factor V<br />

M. Na 1 , J. Wiencek 2 , J. Hirbawi 3 , M. Kalafatis 2 . 1 Cleveland State University,<br />

Westlake, OH, 2 Cleveland State University, Cleveland, OH, 3 Cleveland<br />

clinic, Cleveland, OH<br />

Background:Coagulation fV is a single chain quiescent proc<strong>of</strong>actor . Thrombin<br />

generation is <strong>the</strong> key event involved in <strong>the</strong> coagulation cascade. The proteolytic<br />

conversion <strong>of</strong> prothrombin (Pro) to thrombin is catalyzed by <strong>the</strong> prothrombinase<br />

complex. This stoichiometric complex is composed <strong>of</strong> <strong>the</strong> c<strong>of</strong>actor factor Va (fVa),<br />

<strong>the</strong> enzyme factor Xa (fXa) associated on a membrane surface in <strong>the</strong> presence <strong>of</strong><br />

divalent metal ions. FV is activated by thrombin following three sequential cleavages<br />

at Arg 709 , Arg 1018 , and Arg 1545 to generate <strong>the</strong> active c<strong>of</strong>actor (fVa) composed <strong>of</strong> heavy<br />

and light chain. It was previously reported that activation <strong>of</strong> FV following cleavage<br />

at Arg 1545 by thrombin requires prior cleavage at Arg1 018 . To ascertain <strong>the</strong> role <strong>of</strong><br />

thrombin mediated cleavage at Arg 1018 during activation <strong>of</strong> fV , we used site directed<br />

mutagenesis to create several recombinant fV molecules with <strong>the</strong> activation sites<br />

mutated to Glutamine (RtoQ).<br />

Methods: We have also used a recombinant mutant factor V molecule with <strong>the</strong><br />

region 1000-1008 from <strong>the</strong> B region deleted (fV ∆B9 ). We have created recombinant fV<br />

molecules as follows: fV WT (wild type), fV QQR (only cleavage at Arg 1545 is available),<br />

fV RQQ (only cleavage at Arg 709 available), fV QRQ , (only cleavage at Arg 1018 available),<br />

fV RQR (cleavages at Arg 709 and Arg 1545 available), fV QQQ (no cleavage available),<br />

fV ∆B9/RQR , and fV ∆B9/QRQ . The recombinant molecules were expressed in COS-7 cells,<br />

purified to homogeneity and assayed for clotting activity as well as in prothrombinase<br />

assays using purified reagents. Western blotting followed by staining with specific<br />

monoclonal antibodies to <strong>the</strong> heavy and light chain <strong>of</strong> <strong>the</strong> c<strong>of</strong>actor was used to<br />

evaluate <strong>the</strong> integrity <strong>of</strong> <strong>the</strong> recombinant fV/fVa molecules.<br />

Results:Two-stage clotting assays revealed that <strong>the</strong> clotting activities <strong>of</strong> fVa QQR ,<br />

fVa RQQ , and fVa QRQ were reduced while fV QQQ was devoid <strong>of</strong> clotting activity. In<br />

addition, fVa RQR and fVa ΔB9/RQR have similar clotting activities as fVa WT . In contrast,<br />

fVa QRQ , and fVa ΔB9/QRQ are impaired in <strong>the</strong>ir clotting activities, similar to <strong>the</strong> activity<br />

expressed by fV QQQ . Kinetic analyses demonstrated that fVa RQR and fVa ΔB9/RQR have<br />

similar affinities for fXa, while fVa QRQ , and fVa ΔB9/QRQ were impaired in <strong>the</strong>ir interaction<br />

with fXa. The kcat values for prothrombinase assembled with fVa RQR and fVa ΔB9/RQR<br />

were similar to <strong>the</strong> kcat obtained with prothrombinase assembled with fVa WT , while<br />

prothrombinase assembled with fVa QRQ and fVa ΔB9/QRQ had 2-fold and 7-fold reduced<br />

catalytic efficiency respectively, when compared to <strong>the</strong> kcat values obtained with<br />

prothrombinase assembled with fVa WT . Finally, <strong>the</strong> kcat value for prothrombinase<br />

assembled with fVa QQR was approximately 50% lower than <strong>the</strong> kcat obtained with<br />

prothrombinase assembled with fVa WT .<br />

Conclusion:Our data demonstrates that cleavage site Arg 1018 is not a prerequisite for<br />

activation <strong>of</strong> factor V. We conclude that <strong>the</strong> data presented explains that Arg 1018 has<br />

no effect on heavy and light chain formation but only removes any steric hindrance<br />

present in <strong>the</strong> structure and improves <strong>the</strong> catalytic efficiency <strong>of</strong> <strong>the</strong> prothrombinase<br />

complex.<br />

A-507<br />

Intra-assay precision, inter-assay precision, and reliability <strong>of</strong> five<br />

platelet function methods used to monitor <strong>the</strong> effect <strong>of</strong> aspirin and<br />

clopidogrel on platelet function<br />

C. D. Koch, A. M. Wockenfus, R. S. Miller, N. V. Tolan, D. Chen, R. K.<br />

Pruthi, A. S. Jaffe, B. S. Karon. Mayo Clinic, Rochester, MN<br />

Introduction: Protocols for implantable cardiac devices <strong>of</strong>ten call for monitoring and<br />

titration <strong>of</strong> antiplatelet agents to avoid device thrombosis. We evaluated five platelet<br />

function methods for precision and reliability in measuring platelet function in healthy<br />

volunteers and volunteers on daily aspirin or clopidogrel <strong>the</strong>rapy.<br />

Methods: We studied TEG® 5000 PlateletMapping® (Haemonetics, Braintree MA),<br />

light transmission aggregometry (LTA) using a PAP-8E (Bio/Data Corporation,<br />

Horsham PA), PLT VASP/P2Y12 flow cytometry (Biocytex, Marseille France) using<br />

a FACSCalibur Cytometer (Becton Dickinson, Franklin Lakes NJ), whole blood<br />

impedance aggregometry using Multiplate 5.0 (DiaPharma Group, Westchester OH),<br />

and VerifyNow (Accumetrics, San Diego CA). Blood samples from forty healthy<br />

volunteers were obtained for duplicate testing by all methods. To assess platelet<br />

function variability from blood draws and sample processing, twenty four healthy<br />

volunteers had blood drawn again within 24 hours for repeat duplicate measurement.<br />

Thirteen volunteers on daily aspirin <strong>the</strong>rapy, and ten volunteers on daily clopidogrel<br />

<strong>the</strong>rapy, also had blood drawn twice within 24 hours for testing. Intra-assay precision<br />

(CV) was calculated from <strong>the</strong> standard deviation <strong>of</strong> all duplicate results; while interassay<br />

CV was calculated from <strong>the</strong> SD <strong>of</strong> all four (duplicate results from two blood<br />

draws) results among donors with repeat blood draws. Reliability index (R), <strong>the</strong><br />

ratio <strong>of</strong> between person to total (within plus between person) variability was also<br />

calculated. R indices <strong>of</strong> 0.41-0.60 indicate moderate, 0.61-0.80 substantial, and 0.81-<br />

1.00 high test reliability.<br />

Results: Intra-assay CV was < 15% except for TEG PlateletMapping on healthy<br />

donors and Multiplate on aspirin-treated donors. Inter-assay precision and reliability<br />

(R) calculated from 9-13 repeat donors were:<br />

ADP Inhibitor Effect<br />

Aspirin Effect<br />

Clopidogrel-<br />

Aspirin-Treated<br />

Healthy Donors<br />

Healthy Donors<br />

Treated Donors<br />

Donors<br />

Mean Inter- Mean Inter- Mean Inter- Mean Inter-<br />

Assay CV R Assay CV R Assay CV R Assay CV R<br />

(%)<br />

(%)<br />

(%)<br />

(%)<br />

VASP 4.7 0.64 26.3 0.83 - - - -<br />

VerifyNow 5.2 0.89 12.9 0.92 2.4 0.23 4.8 0.78<br />

Multiplate 8.3 0.61 14.2 0.89 9.7 0.48 24.7 0.68<br />

LTA 6.2 0.66 11.2 0.89 7.2 0.60 37.8 0.25<br />

TEG PM 50.1 0.35 17.2 0.93 92.2 0.06 5.0 0.26<br />

Conclusions: VASP, VerifyNow, Multiplate and LTA had substantial or high reliability<br />

for measuring <strong>the</strong> effect <strong>of</strong> ADP inhibitors; while only Multiplate had even moderate<br />

reliability for measuring aspirin effect. TEG PlateletMapping is not a reliable method<br />

to measure individual response to antiplatelet agents.<br />

A-508<br />

Detection <strong>of</strong> JAK2 V617F and JAK2 exon 12 mutations in chronic<br />

myeloid leukemia patients and <strong>the</strong>ir role in disease progression.<br />

R. MIR 1 , I. Ahmad 2 , M. Zuberi 2 , J. Javid 1 , S. Farooq 2 , S. Guru 2 , P. Ray 2 ,<br />

P. Yadav 2 , N. Gupta 2 , M. Masroor 2 , A. saxena 2 . 1 University <strong>of</strong> Delhi, NEW<br />

DELHI, India, 2 Maulana Azad Medical college, NEW DELHI, India<br />

OBJECTIVE: The JAK2 V617 mutation in exon 14 and o<strong>the</strong>r novel JAK2 exon12<br />

mutations (K539L, F537-K539delL, H538QK539L ) are acquired alterations that<br />

induce constitutive cytokine-independent activation <strong>of</strong> <strong>the</strong> JAK-STAT pathway in<br />

myeloproliferative disorders. The discovery <strong>of</strong> <strong>the</strong>se mutations provides a novel<br />

mechanism for activation <strong>of</strong> signal transduction in hematopoietic malignancies. The<br />

aim <strong>of</strong> this study was to investigate <strong>the</strong> presence <strong>of</strong> V617F and o<strong>the</strong>r JAK2 mutations<br />

along with BCR-ABL translocation/Philadelphia chromosome in Indian patients <strong>of</strong><br />

Chronic Myeloid Leukemia (CML)and to study <strong>the</strong>ir association with early disease<br />

progression to advanced stages (accelerated phase or blast crisis) and poor disease<br />

outcome.<br />

METHODOLOGY: 100 newly diagnosed BCR-ABL translocation or Philadelphia<br />

chromosome positive cases <strong>of</strong> CML in chronic phase/accelerated phase/blast crisis<br />

were tested for JAK2 mutations by ARMS-PCR and/or ASO-PCR. Demographic data,<br />

spleen size, hemoglobin level, white blood cell and platelet counts were recorded.<br />

A152 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Hematology/Coagulation<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Independent sample t-test was used to study <strong>the</strong> correlation <strong>of</strong> JAK2 mutations with<br />

age, haemoglobin , blood counts and spleen size. Fisher’s exact test was applied to<br />

compare disease progression in mutation positive and negative cases.<br />

RESULTS: The JAK2 mutation was studied in 100 CML patients , 50 were in chronic<br />

phase(CP), 10 in accelerated phase(AP) and 15 in blast crisis(BC).Overall twenty one<br />

<strong>of</strong> hundred cases (21%) were carrying JAK2V617F mutation,,<strong>the</strong> break-up among <strong>the</strong><br />

different stages was 13% <strong>of</strong> CP-CML , 40% <strong>of</strong> AP-CML and 46.66% blast crisis(BC)<br />

cases .It was seen that JAK2V617F mutation frequency is increased significantly from<br />

early to advanced phase <strong>of</strong> CML. A higher frequency <strong>of</strong> JAK2V617F mutation was<br />

observed in haematologically resistant cases (35% ) and molecularly resistant cases<br />

(33%) to imatinib treatment than in <strong>the</strong> imatinib responders.A significant proportion<br />

<strong>of</strong> patients carrying JAK2V617F mutation showed early disease progression. During<br />

a mean follow-up <strong>of</strong> 12 months, 5/10 CP-CML (JAK2+) cases underwent disease<br />

progression and out <strong>of</strong> five ,3 patients transformed to blast crisis and 2 into accelerated<br />

phase. No statistically significant difference was seen in relation to age, spleen size,<br />

haemoglobin level, white blood cells and platlet counts in JAK2V617F positive<br />

patients. O<strong>the</strong>r JAK2 exon12 (K539L,H538QK539L,F537-K539delL) mutation<br />

screening is under process and <strong>the</strong> results will be reported.<br />

CONCLUSION: JAK2V617F mutation was detected in 21% cases <strong>of</strong> Chronic<br />

Myeloid Leukemia. A significant proportion <strong>of</strong> <strong>the</strong>se patients showed early disease<br />

progression.<br />

A-510<br />

Platelet, Mean platelet volume and r-glutamyl transferase: Changes in<br />

Platelet Index in Cholestatic conditions<br />

S. Cho, E. You, J. Yang, Y. Jeon, M. Kim, M. Lee, H. Yang, H. Lee, T. Park,<br />

J. Suh. Kyung Hee University Medical Center, Seoul, Korea, Republic <strong>of</strong><br />

Background: Mean platelet volume (MPV) is <strong>the</strong> commonly measured platelet<br />

index for platelet size and surrogate marker <strong>of</strong> platelet function. Recently, MPV has<br />

been investigated various hepatic disease such as cirrhosis and viral hepatitis. We<br />

also had reported previous studies to analyze clinical meaning <strong>of</strong> MPV in patients<br />

with hepatocellular carcinoma and chronic hepatitis B. In this study, we planned to<br />

investigate <strong>the</strong> relationship between this platelet index and γ-glutamyltransferase<br />

(GGT) in various disease conditions.<br />

Materials and Method: The study included 671 results with increased GGT (1.5<br />

times higher than upper reference limit) from 415 different patients in our hospital<br />

between August 2011 and April 2012. For <strong>the</strong> control group, 311 subjects for medical<br />

check-ups were enrolled and <strong>the</strong>y were also used as control group in our previous<br />

study. Mean age <strong>of</strong> patient group was 54.91 (range 0-88) yr, and male to female<br />

ratio was 281:134. Platelet index were measured using EDTA blood in Advia 2120<br />

(Siemens Healthcare Diagnostics Inc., Tarrytown, USA) within 2 hrs. GGT was<br />

tested using Toshiba chemical analyzer (Toshiba, Nasushiobara, Japan). Student t-test<br />

and Pearson correlation analysis were used to examine <strong>the</strong> relationships between<br />

variables. The statistical analyses were performed with MedCalc v11.6 (MedCalc<br />

S<strong>of</strong>tware, Mariakerke, Belgium).<br />

Results: Mean <strong>of</strong> MPV levels was <strong>the</strong> significantly increased in patients group<br />

(P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Hematology/Coagulation<br />

A-514<br />

A case report: secondary thrombophilia in <strong>the</strong> course <strong>of</strong> a<br />

cardiovascular surgery<br />

J. Romero-Aleta, M. D. Rodriguez-Fernandez, A. I. Alvarez-Rios, G.<br />

Pérez-Moya, B. Pineda-Navarro, J. M. Guerrero. H.U. Virgen del Rocio,<br />

Sevilla, Spain<br />

Background: The antithrombin III is a liver syn<strong>the</strong>sis protein, vitamin K-independent.<br />

It is <strong>the</strong> major inhibitor <strong>of</strong> thrombin and factor Xa. The genetic deficiency is inherited<br />

40-60% as an autosomal dominant, with incomplete penetrance. The estimated<br />

incidence in <strong>the</strong> general population is 1/2000 to 1/5000. Affected individuals are<br />

heterozygous with activity levels


Hematology/Coagulation<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

when compared to manual methods <strong>of</strong> establishing red cell indices. Because <strong>the</strong> cells<br />

in our measurement are ba<strong>the</strong>d in <strong>the</strong>ir native plasma, while those in a flow-cytometric<br />

or aperture impedance system are highly diluted in a fluid whose osmolality may<br />

differ from that <strong>of</strong> <strong>the</strong> plasma, we found somewhat different MCV values when<br />

utilizing those automated methods. Based on this issue, we focused on comparison to<br />

manual reference methods for RBC, HGB and HCT. This issue will be investigated<br />

in future work.<br />

A-518<br />

The Use <strong>of</strong> Quantitative, Multi-Spectral Imaging to Measure<br />

Hematology Parameters in Whole Blood Preparations<br />

D. Unfricht, D. Olson, M. Xie, R. Holt, D. Herzog, J. Verrant, C. Gonzalez.<br />

Abbott Laboratories, Princeton, NJ<br />

Background: The rapid advancement <strong>of</strong> technology has made it increasingly possible<br />

to provide critical diagnostic tests at <strong>the</strong> point <strong>of</strong> patient care (POC). Instead <strong>of</strong> waiting<br />

for test results, clinicians can perform diagnostic tests in minutes while <strong>the</strong> patient<br />

is present. This is especially important in situations where rapid test turnaround is<br />

essential for positive patient outcomes. While POC tests are increasingly available,<br />

<strong>the</strong>re are as yet no satisfactory complete blood count (CBC) and white blood cell<br />

(WBC) differential solutions for near patient testing. Various hematology solutions<br />

based on automated impedance and flow cytometry or o<strong>the</strong>r traditional technologies<br />

have been developed, but none <strong>of</strong> <strong>the</strong>m fully satisfy demand for rapid, accurate sample<br />

analysis, fluid-free processing, reliability, compactness, and ease <strong>of</strong> operation. All <strong>of</strong><br />

<strong>the</strong>se are important requirements for POC diagnostic systems. In this presentation, a<br />

novel, imaging-based POC hematology analyzer that performs a complete blood count<br />

(CBC) with 5 part differential comparable to conventional laboratory hematology<br />

instruments is described. The POC hematology analyzer processes a small volume<br />

<strong>of</strong> whole blood stored inside a disposable, companion cartridge with dry reagents.<br />

After <strong>the</strong> blood sample fills an imaging chamber <strong>of</strong> precisely-defined height, <strong>the</strong> POC<br />

analyzer acquires digital hematology images at multiple wavelengths <strong>of</strong> light (multispectral<br />

analysis) and quantitatively analyzes <strong>the</strong>m.<br />

Methods: Fifty anti-coagulated, whole blood samples (ei<strong>the</strong>r native or manipulated)<br />

were analyzed in duplicate on <strong>the</strong> Abbott, imaging-based, POC hematology analyzer,<br />

and a traditional multi-parameter hematology system. Linear regression was performed<br />

to compare <strong>the</strong> methods. Additionally, a precision study (n = 20) was performed to<br />

examine <strong>the</strong> repeatability <strong>of</strong> <strong>the</strong> imaging-based POC hematology analyzer.<br />

Results: For WBC and platelet (PLT) counts, <strong>the</strong> Abbott imaging-based POC<br />

hematology analyzer generated linear regression r 2 values > 0.99 and 0.98,<br />

respectively, when compared to <strong>the</strong> traditional multi-parameter hematology system.<br />

Precision for WBCs and PLT was 3.6% and 3.1%, respectively.<br />

Conclusions: Although <strong>the</strong> art <strong>of</strong> acquiring digital hematology images has been<br />

practiced for decades, quantitative methods <strong>of</strong> measuring hematology parameters<br />

from <strong>the</strong>se images is in its infancy. Digital image analysis has many advantages,<br />

including <strong>the</strong> visual confirmation <strong>of</strong> identified objects. Additionally, <strong>the</strong> design <strong>of</strong><br />

<strong>the</strong> imaging chamber allows <strong>the</strong> same region <strong>of</strong> interest (ROI) to be analyzed with<br />

multiple wavelengths <strong>of</strong> light, providing a wealth <strong>of</strong> information from <strong>the</strong> same<br />

ROI. Multi-spectral analysis can be particularly useful when analyzing cellular<br />

objects containing nucleic acids, such as white blood cells, platelets, platelet clumps,<br />

and nucleated erythrocytes that can be stained with supravital fluorescent dyes.<br />

Preliminary results, along with confirmatory digital hematology images, suggest that<br />

<strong>the</strong> multi-spectral analytical methods compare favorably with traditional automated<br />

hematology analyzers.<br />

A-519<br />

Disposable Analysis Chamber for a Novel Imaging Based Hematology<br />

Instrument<br />

B. Ports 1 , D. Unfricht 2 , P. Mitsis 2 , N. Khan 1 , S. Levine 3 , R. Levine 3 . 1 QDx,<br />

Inc., Cranford, NJ, 2 Abbott Laboratories, Princeton, NJ, 3 Yale University<br />

School <strong>of</strong> Medicine, New Haven, CT<br />

Objective: To show a disposable transparent chamber with a precisely known interior<br />

height <strong>of</strong> 4.0 μm, can be used to determine <strong>the</strong> concentration <strong>of</strong> white blood cells and<br />

platelets in whole blood when measured using automated digital imaging, such that<br />

instrument and chamber yield acceptable clinical correlations and precision for WBC<br />

and PLT with a commercially available hematology instrument.<br />

Methodology: The imaging chamber is one component <strong>of</strong> a disposable cartridge<br />

which accepts 20-30 μL whole blood. Once inserted in <strong>the</strong> instrument, <strong>the</strong> cartridge<br />

automatically stains <strong>the</strong> blood sample with dried acridine orange and dispenses ~300<br />

nL to <strong>the</strong> imaging chamber. The chamber design allows all components <strong>of</strong> blood<br />

to fill by capillarity, forming a monolayer <strong>of</strong> WBCs within <strong>the</strong> 4 μm space due to<br />

<strong>the</strong>ir deformability in <strong>the</strong> live state. Fluorescent digital images are <strong>the</strong>n captured and<br />

analyzed by image processing algorithms to enumerate WBC and PLT, among o<strong>the</strong>r<br />

CBC parameters.<br />

Validation: Studies performed using replicate analysis (each analysis in a new<br />

chamber) <strong>of</strong> 20 samples, demonstrated a working precision for WBC and PLT <strong>of</strong><br />

~3.5% in <strong>the</strong> normal range. Separate studies comparing ~200 abnormal and normal<br />

samples with a comparative instrument in duplicate show excellent agreement, with<br />

correlations <strong>of</strong> R = 0.99 for WBC and PLT.<br />

Conclusions: Fluorescent imaging <strong>of</strong> acridine orange stained WBC and PLT in <strong>the</strong><br />

novel 4 μm chamber allows for accurate and precise enumeration <strong>of</strong> <strong>the</strong>se cells.<br />

A-520<br />

Validation <strong>of</strong> Buzzy® during blood specimens collection by<br />

venipuncture for hematology testing: a preliminary evaluation<br />

G. Lima-Oliveira 1 , C. D. Valentim 2 , G. Salvagno 3 , G. Lippi 4 , M. D. R.<br />

Campelo 2 , C. A. Amaral-Valentim 2 , K. S. A. Tajra 2 , F. S. Gomes 2 , S. J. C.<br />

Romano 2 , G. Picheth 1 , G. Guidi 3 . 1 Federal University <strong>of</strong> Parana, Curitiba,<br />

Brazil, 2 Bioanalise, Teresina, Brazil, 3 University <strong>of</strong> Verona, Verona, Italy,<br />

4<br />

University <strong>of</strong> Parma, Parma, Italy<br />

Background and objective: A new device called Buzzy® which combines ice pack<br />

and vibrating motor is proposed to relieve <strong>the</strong> venipuncture pain, thus increasing<br />

patient compliance during venipuncture. Aim <strong>of</strong> this study was to evaluate <strong>the</strong> impact<br />

<strong>of</strong> <strong>the</strong> device to validate it for blood collection by venipuncture for hematology tests.<br />

Methods: Blood was collected from 20 volunteers by a expert phlebotomist. A vein<br />

was located on <strong>the</strong> left forearm without applying tourniquet using a subcutaneous<br />

tissue transilluminator device, and blood samples were collected directly into vacuum<br />

tube with K2EDTA. In sequence, Buzzy® was applied on <strong>the</strong> right forearm, for one<br />

minute before venipuncture and maintained until <strong>the</strong> end <strong>of</strong> blood collection. The<br />

routine hematological tests were performed in <strong>the</strong> same instrument Sysmex® XE-<br />

2100D. The significance <strong>of</strong> <strong>the</strong> differences between samples was assessed by using <strong>the</strong><br />

paired Student t-test after verifying <strong>the</strong> normality. Because non-normal distribution<br />

was found for MCV, relevant results were assessed by using Wilcoxon ranked-pairs<br />

test. Statistical significance was set at P < 0.05.<br />

Results: The main results <strong>of</strong> <strong>the</strong> present investigation are syn<strong>the</strong>sized in <strong>the</strong> table I.<br />

Table 1. Impact <strong>of</strong> Buzzy® on routine hematology tests.<br />

Discussion and conclusion: From a practical point <strong>of</strong> view, <strong>the</strong> cold-induced<br />

hemoconcentration promotes <strong>the</strong> exit <strong>of</strong> water, diffusible ions and low molecular<br />

weight substances from <strong>the</strong> vessel <strong>the</strong>reby increasing <strong>the</strong> concentration <strong>of</strong> various<br />

blood analytes at <strong>the</strong> punctured site thus potentially influencing <strong>the</strong> laboratory results<br />

interpretation (red blood cell, haemoglobin and haematocrit). In conclusion, <strong>the</strong> use <strong>of</strong><br />

Buzzy® was not validated for diagnostic blood collection by venipuncture for routine<br />

hematology tests because <strong>the</strong> device could be affect <strong>the</strong> patient safety. Fur<strong>the</strong>r study<br />

with more volunteers should be done to confirm this preliminary result.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A155


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Hematology/Coagulation<br />

A-521<br />

Risk index for <strong>the</strong> predictor <strong>of</strong> blood products transfusion in liver<br />

transplantation<br />

A. I. Alvarez-Rios 1 , A. León-Justel 1 , J. A. Noval-Padillo 1 , P. Mellado 2 ,<br />

M. A. Gomez-Bravo 3 , J. M. Alamo 3 , M. Porras 4 , F. Sanchez 2 , L. Barrero 3 ,<br />

R. Hinojosa 4 , J. L. Lopez-Romero 2 , M. Carmona 5 , J. M. Guerrero 1 .<br />

1<br />

Department <strong>of</strong> Clinical Laboratory Sciences, Virgen del Rocío University<br />

Hospital, Sevilla, Spain, 2 Department <strong>of</strong> Anaes<strong>the</strong>siology, Virgen del Rocío<br />

University Hospital, Sevilla, Spain, 3 Department <strong>of</strong> Hepatobiliar Surgery,<br />

Virgen del Rocío University Hospital, Sevilla, Spain, 4 Department <strong>of</strong><br />

Intensive Care Medicine, Virgen del Rocío University Hospital, Sevilla,<br />

Spain, 5 Department <strong>of</strong> Haematology and Haemo<strong>the</strong>rapy, Virgen del Rocío<br />

University Hospital, Sevilla, Spain<br />

Background:Liver transplantation (LT) is a surgical procedure that can lead<br />

to massive blood loss and consequently result in transfusion <strong>of</strong> blood products.<br />

Substantial evidence suggests that <strong>the</strong> use <strong>of</strong> blood products during OLT is associated<br />

with morbidity and mortality, and has been identified as an independent risk factor for<br />

adverse postoperative outcomes. The early identification <strong>of</strong> patients at risk <strong>of</strong> blood<br />

products transfusion may provide <strong>the</strong> opportunity to develop clinical pathways and<br />

test approaches to prevent blood loss during LT.The primary objectives <strong>of</strong> our study<br />

were to identify preoperative predictors <strong>of</strong> blood products transfusion in LT, and to<br />

develop a risk index to predict blood products transfusion in LT.<br />

Methods:We performed a retrospective, observational study <strong>of</strong> all LTs patients among<br />

those performed between October 15 th , 2009 and December 31 st , 2011. A hundred<br />

and twenty five LTs were included during <strong>the</strong> study period. The following variables<br />

were recorded for each patient: age; thromboelastometry´s variables (CT (clotting<br />

time); A10 (amplitude clot after 10 minutes); CFT (clotting formation time); MCF<br />

(maximum clot <strong>of</strong> firmness); alpha); INR (international normalized ratio); aPTT<br />

(activated partial thromboplastin time); Fg (fibrinogen); RBC (red blood cells); Hb<br />

(hemoglobin) and platelets. Independent predictors <strong>of</strong> blood products transfusion<br />

were identified by multivariable logistic regression analysis. We have developed a risk<br />

index <strong>of</strong> blood products transfusion with <strong>the</strong> quartile and <strong>the</strong> diagnostic performance<br />

was established by calculating area under <strong>the</strong> ROC curve, sensitivity, specificity, and<br />

95% confidence intervals (CI). This risk index <strong>of</strong> blood products transfusion was<br />

internally validated with <strong>the</strong> following twenty LTs.<br />

Results:Multivariable logistic regression analysis revealed that CT (OR=1.036; IC<br />

95%, 1.003-1.069; p=0.030); A10 (OR=0.765; IC 95%, 0.612-0.956; p=0.018); MCF<br />

(OR=1.275; IC 95%, 1.012-1.605; p=0.039); Hb (OR=0.942; IC 95%, 0.894-0.992;<br />

p=0.024) were associated with an overall risk <strong>of</strong> transfusion. We obtained an area<br />

under <strong>the</strong> ROC curve <strong>of</strong> 0.77, 95% IC (0.68-0.84; p


Hematology/Coagulation<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Conclusion: The pancytopenia was not correlated with <strong>the</strong> degree <strong>of</strong> splenomegaly in<br />

patients with schistosomal portal hypertension.<br />

Results <strong>of</strong> hematological tests <strong>of</strong> 80 patients with SPH, since 2004 to 2011<br />

Exams<br />

Results<br />

mean ± sd minimum maximum<br />

Erythrocytes (céls/mm 3 ) 3.98 ± 0,57 2.92 5.00<br />

Hemoglobin (g/dL) 10.8 ± 1.9 7.7 14.2<br />

Hematocrit (%) 33.2 ± 4.8 24.2 41.0<br />

Total leukocytes (céls/mm 3 ) 3040 ± 920 1400 5400<br />

Eosinophils (%) 6 ± 5 1 20<br />

Platelets (céls/mm 3 ) 61000 ± 28000 12000 110000<br />

A-525<br />

Behavior <strong>of</strong> MCH and MCHC in iron-deficiency anemia and<br />

thalassemia minor<br />

S. F. Fonseca 1 , J. R. S. Oliveira 2 , A. T. Q. Lopes 2 , G. Azevedo 2 , L. F. A.<br />

Nery 2 , S. S. S. Costa 2 , R. H. Jacomo 2 . 1 Brasilia University, Laboratorio<br />

Sabin, BRASILIA, Brazil, 2 Laboratorio Sabin, BRASILIA, Brazil<br />

The red cell indices are very important for <strong>the</strong> classification and etiologic investigation<br />

<strong>of</strong> anemia. In general, anemia is classified according to <strong>the</strong> mean corpuscular volume<br />

(MCV) as normocytic, microcytic or macrocytic, and, based on mean corpuscular<br />

hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC), as<br />

normochromic or hypochromic. Data in <strong>the</strong> literature are conflicting with regard to<br />

which <strong>of</strong> <strong>the</strong>se indices best classifies anemia.<br />

Objective: Considering that iron-deficiency anemia and beta-thalassemia minor are<br />

frequent causes <strong>of</strong> hypochromic anemia, <strong>the</strong> authors analyzed <strong>the</strong> behavior <strong>of</strong> MCH<br />

and MCHC in <strong>the</strong>se two pathologies.<br />

Methods: MCH and MCHC values were analyzed in 4,196 complete blood counts<br />

(CBC) from adults who presented serum ferritin concentration below 10ng/dl and<br />

showed hemoglobin (Hb) levels below reference values for age and sex (Group I);<br />

and in 116 CBC from adults with HbA2 above 3.5% and with ferritin and transferrin<br />

saturation within reference values (Group II). The CBC were carried out by an<br />

automated system (Sysmex XE2100), hemoglobin analysis by capillary electrophoresis<br />

(Capillarys 2, Sebia), and serum ferritin analysis by chemiluminescence (Advia<br />

Centaur XP). Statistical analysis was performed using <strong>the</strong> Student´s T test.<br />

Results and Conclusion: The average Hb values were 11.5 g/dl and 11.8 g/dl<br />

(p=0.049); MCH values were 25.8 pg and 21.7 pg (p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Factors Affecting Test Results<br />

A-527<br />

Tuesday, July 30, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Factors Affecting Test Results<br />

Interference in HbA1c Measurement by HPLC: Unusual Case<br />

Involving a poorly controlled Diabetic Patient with Hemoglobin D<br />

Trait<br />

T. Brandler, M. Fenelus, L. K. Bjornson. North Shore University Hospital<br />

Laboratory, Manhasset, NY<br />

Introduction: Hemoglobin A1c (HbA1c) is <strong>the</strong> universally accepted index <strong>of</strong> glycemic<br />

control in diabetes mellitus over <strong>the</strong> longevity <strong>of</strong> an erythrocyte, approximately 120<br />

days. HPLC (high performance liquid chromatography) is one <strong>of</strong> <strong>the</strong> most common<br />

methodologies for measuring HbA1c. Hemoglobinopathies such as HbAE and HbAD<br />

are reported to interfere with some <strong>of</strong> <strong>the</strong> commercially available HPLC methods.<br />

Here, we present a case <strong>of</strong> a 66 year old female with unreportable HbA1c results using<br />

<strong>the</strong> Tosoh G8 HPLC system.<br />

Methods: The Core Laboratory received a blood sample from a 66 year old female.<br />

HbA1c and serum glucose measurements were performed initially. Subsequently,<br />

fructosamine measurement and hemoglobin identification were performed. The<br />

two principle methods used to measure HbA1c in our laboratory system are HPLC<br />

and immunoassay. HbA1c was performed with <strong>the</strong> Tosoh HLC-723G8 using ionexchange<br />

chromatography and by immunoassay with <strong>the</strong> Roche Cobas Integra 800<br />

using a turbidimetric inhibition immunoassay (TINIA). Both manufacturers, Tosoh<br />

- HPLC and Roche - immunoassay, specify that HbA1c can be reliably measured for<br />

patients with HbAD or hemoglobin D trait. Hemoglobin identification was performed<br />

using <strong>the</strong> Bio-Rad CDM System Variant V-II Instrument for hemoglobin HPLC and<br />

<strong>the</strong> Resolve Perkin Elmer System for isoelectric focusing.<br />

Results: Our patient had a glucose level <strong>of</strong> 330 mg/dL. The HbA1c measurement<br />

by HPLC was 12.7%, but could not be reported because <strong>of</strong> an error flag on <strong>the</strong><br />

chromatogram indicating <strong>the</strong> presence <strong>of</strong> an unidentified peak (P00 =8.6%) just<br />

before HbA0. An additional peak (H-VI = 35.5%) appeared just after HbA0. A<br />

second specimen was obtained from <strong>the</strong> patient and demonstrated <strong>the</strong> same HbA1c<br />

error flag indicating unreportable results. Since <strong>the</strong> HPLC analysis <strong>of</strong> HbA1c<br />

indicated <strong>the</strong> probable presence <strong>of</strong> an abnormal hemoglobin and/or o<strong>the</strong>r interfering<br />

substance, <strong>the</strong> patient’s blood was investigated for hemoglobinopathy. Examination<br />

<strong>of</strong> her hemoglobins by HPLC and isoelectric focusing demonstrated <strong>the</strong> presence<br />

<strong>of</strong> HbD at 39% and established that this patient had a hemoglobin D trait. HbA1c<br />

was subsequently measured by an alternate immunoassay method (TINIA) on <strong>the</strong><br />

Roche Cobas Integra 800 and found to be 11.8% (as compared to <strong>the</strong> HPLC result <strong>of</strong><br />

12.7%). There were no error flags for <strong>the</strong> immunoassay and results were assumed to<br />

be valid. Serum fructosamine was measured at 535 umol/L (reference interval 205 -<br />

285), which confirmed this patient’s very high HbA1c levels and her poorly controlled<br />

diabetic state.<br />

Conclusion: HbA1c measurements could not be reported on a 66 year old female with<br />

poorly controlled diabetes and hemoglobin D trait using <strong>the</strong> Tosoh G8 HPLC system<br />

because <strong>of</strong> an unidentified peak (8.6%) just before HbA0. This unidentified peak was<br />

not HbD which eluted after HbA0 and may be an artifact <strong>of</strong> her poor glycemic control<br />

or possibly due to medications. The Roche Integra immunoassay (TINIA) produced<br />

a reliable result with no instrument flags that was consistent with all o<strong>the</strong>r laboratory<br />

data.<br />

A-528<br />

How Frequently does Hemolysis Mask Hypokalemia? A study from a<br />

Large Tertiary Hospital<br />

J. R. Asirvatham, L. Bilello, R. Agostinello, L. K. Bjornson. North Shore<br />

University Hospital (NSLIJHS), Manhasset, NY<br />

Introduction: Excluding a false elevation <strong>of</strong> potassium due to hemolysis is almost<br />

a reflex reaction when faced with an elevated potassium concentration. However,<br />

hemolysis can underestimate <strong>the</strong> degree <strong>of</strong> hypokalemia or mask hypokalemia when<br />

<strong>the</strong> measured concentrations fall within <strong>the</strong> reference interval. Data on <strong>the</strong> frequency<br />

and clinical impact <strong>of</strong> masked hypokalemia is lacking.<br />

Objective: To estimate <strong>the</strong> proportion <strong>of</strong> masked hypokalemia in a large set <strong>of</strong><br />

hemolysed samples by applying a correction factor based on <strong>the</strong> hemolysis index (HI).<br />

For this purpose, masked hypokalemia is defined as a potassium concentration from a<br />

hemolyzed specimen that is within <strong>the</strong> reference interval originally (normokalemic),<br />

but is hypokalemic after correcting for hemolysis.<br />

Methods: The study was conducted in <strong>the</strong> laboratory <strong>of</strong> North Shore University<br />

Hospital which is a large tertiary hospital in central Long Island, NY. The potassium<br />

concentrations <strong>of</strong> samples with HI between 25 and 500 were retrieved from <strong>the</strong><br />

laboratory information system over 17 days in January <strong>2013</strong>. Samples were considered<br />

to have hemolysis if <strong>the</strong> hemolytic index (HI) was >25. Samples with HI > 500 were<br />

excluded as <strong>the</strong>y are not reported. Potassium was measured using an indirect ion<br />

selective electrode method on <strong>the</strong> Roche Modular ISE 1800 System. Serum indices<br />

including HI were measured simultaneously on <strong>the</strong> Roche Modular P 800. For this<br />

study, a previously published correction formula [Corrected potassium = Measured<br />

potassium - (HI x 0.004) mmol/L] was used to estimate <strong>the</strong> actual plasma potassium<br />

(Corrected potassium results have not been validated for clinical use). The reference<br />

interval for potassium used in <strong>the</strong> laboratory (3.5-5.1 mmol/L) was used to compare<br />

and categorize <strong>the</strong> pre and post correction values as hypokalemic, normokalemic and<br />

hyperkalemic.<br />

Results:704 samples (9.2%) were found to be hemolysed out <strong>of</strong> <strong>the</strong> 7650 samples<br />

analyzed for potassium in this 17 day time period. 41 (5.7% ) hemolysed samples were<br />

hypokalemic pre and post correction. 10 <strong>of</strong> <strong>the</strong>se 41 specimens were below or equal to<br />

<strong>the</strong> critical concentration <strong>of</strong> 2.9 mmol/L post correction. “Masked hypokalemia” (pre:<br />

normo, post:hypo) was found in 56 (7.8%) <strong>of</strong> <strong>the</strong> hemolysed samples ; one <strong>of</strong> which<br />

was below <strong>the</strong> critical level. The lowest HI associated with a “masked hypokalemia”<br />

was 30.<br />

Conclusion: This study estimated that masked hypokalemia occurred in 7.8% <strong>of</strong> all<br />

hemolyzed samples. A smaller subset <strong>of</strong> 1.2% involved potassium concentrations<br />

that were hypokalemic initially but were below <strong>the</strong> critical limit <strong>of</strong> 2.9 mmol/L<br />

after correction. Masked hypokalemia caused by hemolysis poses a risk to patients,<br />

especially, those who have only one blood sample drawn per encounter, e.g., physician<br />

<strong>of</strong>fice, clinic or Emergency Room, and should be considered when potassium results<br />

are in <strong>the</strong> lower part <strong>of</strong> <strong>the</strong> reference interval even with mild hemolysis.<br />

A-529<br />

Thyroxine Binding Protein Dependence <strong>of</strong> Three Free Thyroxine<br />

Assays<br />

X. Qin 1 , T. J. Pitcher 2 , J. J. Miller 2 . 1 Peking Union Medical College<br />

Hospital, Beijing, China, 2 University <strong>of</strong> Louisville, Louisville, KY<br />

The Objective <strong>of</strong> this study was to test <strong>the</strong> effect <strong>of</strong> thyroxine (T4) binding protein<br />

concentration on 3 free T4 (FT4) assays used in our medical center by <strong>the</strong> effect <strong>of</strong><br />

dilution on <strong>the</strong> measured FT4. Many <strong>of</strong> our patients are acutely ill with decreased<br />

concentrations <strong>of</strong> two T4 binding proteins, Albumin (Alb) and Prealbumin (PA).<br />

Pregnant patients have increased concentrations <strong>of</strong> <strong>the</strong> major T4 binding protein,<br />

Thyroxine-Binding Globulin (TBG). Accurate measurement <strong>of</strong> FT4 concentrations in<br />

<strong>the</strong>se patients requires <strong>the</strong> assay to be minimally affected by <strong>the</strong> concentration <strong>of</strong> T4<br />

binding proteins. A FT4 assay should give <strong>the</strong> same result on diluted samples as on <strong>the</strong><br />

original serum if <strong>the</strong> assay is not affected by <strong>the</strong> concentrations <strong>of</strong> T4 binding proteins.<br />

Methods: We prepared serum pools from 1. ill patients, and 2. pregnant women.<br />

Concentrations in <strong>the</strong> patient and pregnancy pools (reference intervals) were: Alb, 4.1<br />

& 3.5 g/dL (3.5-5.0); PA, 17.7 & 15.5 mg/dL (18-38); TBG, 16.7 & 25.7 μg/mL (13.5-<br />

30.9); FT4, 1.14 & 1.17 ng/dL (0.78-2.19). We made serial dilutions <strong>of</strong> each pool with<br />

10 mmol/L HEPES buffer, pH 7.4. We assayed FT4 in <strong>the</strong> pools and dilutions on <strong>the</strong><br />

Vitros® 5600, Elecsy® 2010, and UniCell® DxI 800. We expressed <strong>the</strong> results <strong>of</strong><br />

dilutions as a percentage <strong>of</strong> <strong>the</strong> undiluted pools.<br />

Results: See table. A binding-protein independent assay will have 100% for all<br />

dilutions due to readjustment <strong>of</strong> <strong>the</strong> equilibrium. The DxI FT4 assay was least<br />

dependent on T4 binding protein concentrations, <strong>the</strong> Vitros assay was affected more<br />

than <strong>the</strong> DxI assay and <strong>the</strong> Elecsys assay was markedly affected. The dilution curves<br />

were similar for normal and pregnant pools.<br />

Conclusion: We conclude that <strong>the</strong> DxI FT4 assay is most accurate among <strong>the</strong>se 3<br />

assays for samples in which <strong>the</strong> T4 binding protein concentrations may be abnormal.<br />

Percent recovery <strong>of</strong> initial FT4 after dilution.<br />

A158 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Factors Affecting Test Results<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Vitros Elecsys DxI<br />

Dilution Ill Pt. Pool Preg. Pt. Pool Ill Pt. Pool Preg. Pt. Pool Ill Pt. Pool Preg. Pt. Pool<br />

0 100.0 100.0 100.0 100.0 100.0 100.0<br />

2 92.2 91.4 82.8 84.6 105.6 114.0<br />

4 80.9 87.1 68.9 73.3 102.2 117.4<br />

8 77.4 87.1 54.3 59.5 100.0 95.3<br />

16 75.7 84.5 39.2 44.8 76.4 86.0<br />

32 62.6 77.6 26.4 31.3 65.2 75.6<br />

A-530<br />

636 females[F]), 80.1 cm to 90 cm (639 M, 1005 F), 90.1 to 100 cm (991 M, 1033F),<br />

100.1 to 110 cm (704 M, 738 F), 110.1 to 120 cm (380 M, 437 F) and greater than<br />

120.1 cm (312 M, 344 F).<br />

Results: The Figure shows a sample reference interval diagram. As expected, for <strong>the</strong><br />

liver enzymes and glucose, <strong>the</strong> upper reference limits are highly correlated to WC.<br />

Albumin, total protein, iron and total bilirubin decreased with increasing WC while<br />

triglyceride and uric acid increased.<br />

Conclusion: Obese patients exhibit extreme as well as subtle laboratory abnormalities.<br />

A comparison <strong>of</strong> V- tube with BD vacutainer tubes for laboratory tests<br />

E. Won 1 , M. Jang 1 , M. Shin 1 , D. Cho 1 , S. Kee 1 , S. Kim 1 , J. Shin 1 , Y. Won 2 ,<br />

D. Ryang 1 , S. Suh 1 . 1 Chonnam National University Hospital, Hwasun-gun,<br />

Jeollanam-do, Korea, Republic <strong>of</strong>, 2 School <strong>of</strong> Electronics and Computer<br />

Engineering, College <strong>of</strong> Engineering, Chonnam National University,<br />

Gwangju, Korea, Republic <strong>of</strong><br />

Background: Vacuum tubes are widely used in <strong>the</strong> clinical laboratory for routine<br />

tests. We compared a newly developed V tube (AB Medical, Gwangju, Korea) and<br />

BD tube (BD, Franklin Lakes, NJ, USA) in common clinical assay <strong>of</strong> hematology,<br />

chemistry and immunoassay tests.<br />

Methods: A total <strong>of</strong> 100 volunteers comprising 79 patients and 21 healthy volunteer<br />

were recruited and peripheral blood samples were collected with two brands <strong>of</strong> EDTA<br />

tubes, sodium citrate tubes and serum separating tubes. The samples from EDTA<br />

tubes were evaluated for 16 routine hematology tests. The sodium citrate tubes were<br />

evaluated for 2 coagulation tests. The SST samples were evaluated for 32 routine<br />

chemistry items and three thyroid hormone tests. Their results were statistically<br />

analyzed by paired t-test and Bland-Altman plot. Additionally, <strong>the</strong> stability <strong>of</strong> each<br />

analyte in two brands <strong>of</strong> vacutainers was evaluated: <strong>the</strong> results <strong>of</strong> hematology tests<br />

at t =0 hr were compared with those at t=72±2 hr, and <strong>the</strong> results <strong>of</strong> chemistry and<br />

thyroid hormone test at t =0 hr were compared with those at t=72±2 hr, and t=168 ±2<br />

hr for each tube.<br />

Results: Paired t-test analysis revealed that <strong>the</strong> results <strong>of</strong> 16 routine hematology<br />

tests, 2 coagulation tests, 32 routine chemistry items and three thyroid hormone<br />

tests showed clinically allowable differences between two brands <strong>of</strong> vacuum tubes<br />

(t =0 hr). The results <strong>of</strong> V tube showed significant correlation between <strong>the</strong> results<br />

<strong>of</strong> BD tube, statistically. Stability <strong>of</strong> two vacuum tubes for each analyte was similar.<br />

Except for 10 items (WBC, MCV, basophil%, MCHC, monocyte%, phospholipid,<br />

Na, K, Cl and free T4), almost showed statistically significant but clinically allowable<br />

differences according to <strong>the</strong> storage duration.<br />

Conclusions: Newly developed V tube vacutainers provided a suitable alternative to<br />

BD tubes in common clinical laboratory.<br />

A-531<br />

Reference interval graphs for common clinical chemistry tests<br />

measured in typical US volunteers stratified by gender, race and waist<br />

circumference.<br />

M. La, Y. Qiu, G. S. Cembrowski. University <strong>of</strong> Alberta Hospital,<br />

Edmonton, AB, Canada<br />

Background: While body mass index (BMI) usually represents <strong>the</strong> magnitude <strong>of</strong><br />

obesity, its concept is not easily grasped by patients or physicians. Waist circumference<br />

(WC) is correlated to obesity, is better understood and has a stronger relationship with<br />

metabolic syndrome, one <strong>of</strong> <strong>the</strong> most important sequelae <strong>of</strong> obesity. We wished to<br />

correlate WC to <strong>the</strong> usual ranges (reference intervals) <strong>of</strong> various laboratory tests.<br />

Methods: We compiled <strong>the</strong> WC, general chemistries, and o<strong>the</strong>r pertinent data <strong>of</strong><br />

25 to 55 year old US volunteers sampled in 3 cycles <strong>of</strong> <strong>the</strong> U.S. National Health<br />

and Nutrition Examination Survey (NHANES), 2005-2006, 2007-2008 and 2009-<br />

2010. To determine reference intervals <strong>of</strong> typical US patients visiting <strong>the</strong>ir clinician,<br />

we used minimal exclusion criteria: negative serology for HIV, hepatitis C, active<br />

hepatitis B and consumption <strong>of</strong> < 6 drinks per day. We compiled albumin, ALT, ALP,<br />

AST, bicarbonate, blood urea nitrogen, calcium, cholesterol, chloride, creatinine,<br />

GGT, globulin, glucose, iron, LD, osmolality, phosphorus, potassium, sodium, total<br />

bilirubin, total protein, triglycerides, and uric acid. The three major US races were<br />

studied: Mexican American, white (nonHispanic White) and black (nonHispanic<br />

Black). 138 reference interval diagrams were constructed with <strong>the</strong> 97.5, 95, 90, 50,<br />

5 and 2.5 percentiles plotted against <strong>the</strong> WC intervals: 70.1 to 80 cm (200 males[M],<br />

A-532<br />

Development <strong>of</strong> a Liquid Multi-Analyte Control Containing 100<br />

Analytes at Clinically Relevant Levels to Increase <strong>the</strong> Efficiency <strong>of</strong> <strong>the</strong><br />

Analytical Performance Assessment<br />

I. Palmer, A. Shanks, M. L. Rodriguez, P. Armstrong, J. Campbell, S. P.<br />

Fitzgerald. Randox Laboratories, Crumlin, United Kingdom<br />

Background: Quality control refers to <strong>the</strong> process <strong>of</strong> detection <strong>of</strong> analytical errors to<br />

ensure reliability and accuracy <strong>of</strong> <strong>the</strong> laboratory test results. The use <strong>of</strong> liquid multianalyte<br />

controls with analytes present at clinically relevant levels, not only reduces<br />

<strong>the</strong> number <strong>of</strong> control to be used simplifying <strong>the</strong> quality control practices, but also<br />

removes errors associated with <strong>the</strong> reconstitution required if lyophilised controls were<br />

to be employed. The consolidation <strong>of</strong> quality control provided by such liquid multianalyte<br />

control material would be fur<strong>the</strong>r enhanced by covering not only chemistry<br />

but also immunoassay and cardiac parameters, lipids, proteins, drugs, electrophoresis,<br />

trace metals.<br />

Relevance: This study reports <strong>the</strong> development <strong>of</strong> a third party liquid multi-analyte<br />

clinical chemistry control containing 100 analytes (covering not only routine clinical<br />

chemistry but also o<strong>the</strong>r parameters) at clinically relevant levels, including CRP, C3,<br />

C4, ferritin, immunoglobins, transferrin. This is <strong>of</strong> value as a useful, comprehensive<br />

and convenient control material to assess accuracy and precision and to monitor<br />

performance in a wide range <strong>of</strong> clinical settings.<br />

Methodology: Multi-analyte liquid clinical chemistry human sera, containing 100<br />

analytes, were generated at three levels covering clinical significant levels. Each level<br />

<strong>of</strong> control material was dispensed in 5ml vials and stored below -20 degrees Celsius.<br />

The stability <strong>of</strong> <strong>the</strong> multi-analyte liquid control material was determined as <strong>the</strong><br />

percentage recovery <strong>of</strong> each level stored at +2-+8 degrees Celsius related to <strong>the</strong> same<br />

material stored at -20 degrees Celsius at 7 days. The shelf life for was determined as<br />

<strong>the</strong> percentage recovery <strong>of</strong> each level <strong>of</strong> <strong>the</strong> control material stored at -20 degrees<br />

Celsius related to <strong>the</strong> same material stored at -80 degrees Celsius after 21 months.<br />

Measurements were performed on various automated analysers.<br />

Results: The evaluation <strong>of</strong> <strong>the</strong> developed liquid multi-analyte tri-level control showed<br />

for example, <strong>the</strong> following analyte concentration per level: CRP (1.1, 19.8 and 44.1<br />

mg/l), C3 (60.3, 114.8, 171.3 mg/dl), C4 (11.3, 22.1, 32.2 mg/dl), IgG (625.3, 1000.9,<br />

1582.1 mg/dl) and transferrin (133.0, 227.3, 355.8 mg/dl). The stability <strong>of</strong> <strong>the</strong> analytes<br />

at each concentration level as percentage recovery <strong>of</strong> control material stored at +2-+8<br />

degrees Celsius compared to -20 degres Celsius was < 10% after 7 days. The shelf life<br />

data showed a percentage recovery <strong>of</strong> control material stored at -20 degrees Celsius<br />

compared to -80 degrees Celsius typically


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Factors Affecting Test Results<br />

A-533<br />

Risk management: evaluating <strong>the</strong> effects <strong>of</strong> light in stability studies<br />

L. Labay, S. Noel. NMS Labs, Willow Grove, PA<br />

Background: Obtaining accurate results is a non-negotiable component <strong>of</strong> any<br />

laboratory test. It is, <strong>the</strong>refore, critical that specimens are protected from deleterious<br />

changes that compromise analyte concentration. This <strong>of</strong>ten means that collection<br />

containers are stored refrigerated or frozen prior to transport and analysis. However,<br />

processes no matter how well conceived are not infallible and at times laboratories are<br />

asked to test samples that were not appropriately stored. In <strong>the</strong> interest <strong>of</strong> mitigating<br />

this risk, individual quality control plans should address this circumstance.<br />

As part <strong>of</strong> our risk management strategy, we had cause to investigate our stability<br />

data for <strong>the</strong> antidepressant duloxetine. It was determined that light protecting serum<br />

samples stored at ambient temperature preserved duloxetine concentrations for at least<br />

30-days. Having ready access to this type <strong>of</strong> information can be beneficial in certain<br />

situations such as when environmental systems meant to safeguard specimens fail, or<br />

when specimens are improperly maintained. In <strong>the</strong> absence <strong>of</strong> this, test results and<br />

<strong>the</strong>ir interpretation may be weakened or a patient may not receive timely care.<br />

Methods: Two concentrations <strong>of</strong> test material (8.7 and 175 ng/mL) in blood and serum<br />

were prepared in bulk. Aliquots <strong>of</strong> 0.3 mL were transferred to 2 mL snap-cap tubes<br />

and placed in <strong>the</strong> storage conditions (ambient temperature, ambient temperature with<br />

light protection, 3C and -10C) until analysis on days 1, 2, 7, 14 and 30. Samples were<br />

tested by transferring 0.2 mL standards, controls and test material to appropriately<br />

labeled test tubes. Internal standard (D4-Duloxetine) was added and <strong>the</strong> test tubes<br />

vortexed. Zinc Sulfate (33% w/v) was <strong>the</strong>n added followed by methanol. After each<br />

<strong>of</strong> <strong>the</strong>se additions all test tubes were vortexed. Supernatants were transferred to<br />

autosampler vials and analyzed by HPLC separation with positive-ion electrospray<br />

tandem mass spectrometry (LC-MS/MS). The monitored ion transitions are 298>43.8;<br />

298>154 for duloxetine and 302.1>46.9; 302.1>158 for D4-Duloxetine. The linearity<br />

<strong>of</strong> <strong>the</strong> assay is 3.0 to 300 ng/mL with precision and accuracy <strong>of</strong>


Factors Affecting Test Results<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

A-536<br />

Diagnostic blood specimens collection for erytrocyte sedimentation<br />

rate: K2EDTA vs. 4NC sodium citrate<br />

G. Lima-Oliveira 1 , G. Salvagno 2 , G. Lippi 3 , F. Dima 2 , G. Brocco 2 , M.<br />

Marcori 2 , L. Mainenti 2 , G. Picheth 1 , G. Guidi 2 . 1 Federal University <strong>of</strong><br />

Parana, Curitiba, Brazil, 2 University <strong>of</strong> Verona, Verona, Italy, 3 University<br />

<strong>of</strong> Parma, Parma, Italy<br />

Background and objective: The method for <strong>the</strong> erythrocyte sedimentation rate<br />

(ESR) was first described in 1921 by Dr R Fahraeus and Dr A Westergren, and<br />

rapidly became a common screening test worldwide for acute phase proteins and<br />

chronic diseases. Despite its limitations and <strong>the</strong> introduction <strong>of</strong> o<strong>the</strong>r more specific<br />

markers <strong>of</strong> inflammation, <strong>the</strong> ESR remains a widely used test for <strong>the</strong> screening and<br />

monitoring <strong>of</strong> infectious, autoimmune, malignant and o<strong>the</strong>r disease processes that<br />

affect plasma proteins and <strong>the</strong> sedimentation rate. Recently <strong>the</strong> ESR determination<br />

has been automatized and vacuum tubes with 4NC sodium citrate are commercialized<br />

to replace K2EDTA, as an ESR dedicated vacuum tube. Never<strong>the</strong>less, no information<br />

is available on <strong>the</strong><br />

influence <strong>of</strong> this dedicated vacuum tube on Esr analysis. The aim <strong>of</strong> <strong>the</strong> present<br />

investigation is to compare ESR results obtained on blood specimens collected with<br />

<strong>the</strong>se two different additives.<br />

Methods: Blood samples from 20 volunteers were collected by a single, expert<br />

phlebotomist. All subjects were maintained seated for 15 minutes<br />

to eliminate possible interferences <strong>of</strong> blood distribution. After this interval <strong>of</strong> time,<br />

a vein was located on <strong>the</strong> forearm using only a subcutaneous tissue transilluminator<br />

device (without tourniquet), and blood samples were collected using a 20-G straight<br />

needle (Terumo) directly into 2 different vacuum tubes: Tube I: 2 mL 4NC ESR<br />

Sodium Citrate Premium ® (Greiner bio-one, GmbH,Kremsmunster, Austria) and Tube<br />

II: 3 mL Venosafe ® 5.9 mg K 2<br />

EDTA (Terumo, Europe, Leuven, Belgium). All samples<br />

were assayed for ESR on <strong>the</strong> TEST 1 YDL® (ALIFAX, Padova, Italy). Calibrations<br />

were performed according to <strong>the</strong> instructions provided by <strong>the</strong> manufacturer. Analytical<br />

imprecision, expressed as inter-assay coefficient <strong>of</strong> variation (CV) and calculated<br />

according to internal quality control was 0.8-2.2%. Data were analysed with <strong>the</strong><br />

paired Student’s t-test after checking for normality.<br />

Results: The results, expressed as mean ± standard error <strong>of</strong> <strong>the</strong> mean (SEM), showed<br />

statistically significant difference between Tube I (16 ± 2 mm/h) and Tube II (28 ± 3<br />

mm/h), P < 0.001.<br />

Discussion and conclusion: This investigation clearly attests that <strong>the</strong> preanalytical<br />

variability might also affect ESR testing, since <strong>the</strong> type <strong>of</strong> additive (4NC sodium<br />

citrate or K2EDTA) inside <strong>the</strong> vacuum tube could influence test results. Fur<strong>the</strong>r<br />

studies with more volunteers should be done to confirm <strong>the</strong>se preliminary results.<br />

Finally, laboratory personnel should validate reference ranges for this new kind <strong>of</strong><br />

additive before introducing <strong>the</strong> new tubes in laboratory routine.<br />

A-537<br />

Assessment <strong>of</strong> <strong>the</strong> validity <strong>of</strong> Trinity Biotech ultra2 hemoglobin A1c<br />

results in <strong>the</strong> presence <strong>of</strong> HbE or HbD Punjab trait.<br />

S. Connolly 1 , S. Hanson 1 , T. Higgins 2 , C. Rohlfing 1 , R. Little 1 . 1 University<br />

<strong>of</strong> Missouri, Columbia, MO, 2 DynaLIFEDx, Edmonton, AB, Canada<br />

Hemoglobin A1c (HbA1c) is a well-established indicator <strong>of</strong> mean glycemia and risks<br />

for complications in patients with diabetes that is now also recommended for diabetes<br />

diagnosis. The presence <strong>of</strong> variant hemoglobins has been shown to affect <strong>the</strong> accuracy<br />

<strong>of</strong> some HbA1c assay methods, most notably those based on ion-exchange HPLC<br />

but also some immunoassay methods, depending upon <strong>the</strong> specific variant present.<br />

Boronate affinity chromatography is <strong>of</strong>ten used as <strong>the</strong> comparative method for<br />

assessing <strong>the</strong> effects <strong>of</strong> variant hemoglobins on o<strong>the</strong>r assay methodologies due to <strong>the</strong><br />

fact that it quantitates total glycated hemoglobin regardless <strong>of</strong> <strong>the</strong> hemoglobin species<br />

present. We have previously shown that HbA1c results for <strong>the</strong> Trinity Biotech ultra2<br />

boronate affinity HPLC are not affected by HbS or HbC trait. Here we validate <strong>the</strong><br />

use <strong>of</strong> <strong>the</strong> ultra2 as a comparative method when evaluating interference from HbE or<br />

HbD Pujab trait via comparison to results obtained from <strong>the</strong> IFCC HbA1c reference<br />

method (IFCC RM). For <strong>the</strong> IFCC RM <strong>the</strong> proteolytic enzyme endoproteinase Glu-C<br />

was used to cleave <strong>the</strong> N-terminal hexapeptides from <strong>the</strong> hemoglobin beta chains,<br />

<strong>the</strong>n <strong>the</strong> ratio <strong>of</strong> glycated to non-glycated hexapeptides was determined using HPLC-<br />

Capillary Electrophoresis. The amino acid sequence <strong>of</strong> <strong>the</strong> N-terminal hexapeptides<br />

for <strong>the</strong> HbE and HbD Punjab beta chains are identical to <strong>the</strong> sequence for HbA so<br />

IFCC RM results are presumably not affected by <strong>the</strong> presence <strong>of</strong> <strong>the</strong>se variants.<br />

Samples containing ei<strong>the</strong>r HbE or HbD Punjab trait as verified using a Bio-Rad Beta<br />

Thalassemia HPLC system and Sebia Hydrasys electrophoresis at both alkaline and<br />

acid pH, as well as non-variant (HbAA) specimens, were collected and analyzed<br />

by both <strong>the</strong> ultra2 and IFCC RM. An overall test <strong>of</strong> coincidence <strong>of</strong> least-squares<br />

regression lines was used to determine if <strong>the</strong> presence <strong>of</strong> HbE or HbD Punjab trait<br />

had a statistically significant effect (P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Factors Affecting Test Results<br />

A-539<br />

Do We Need to Replicate ELISA (Microtiter Plate) Assays: Quantitative<br />

Case.<br />

E. S. Pearlman 1 , L. King 2 , C. Hoang 1 , J. Parikh 2 . 1 Veterans Affairs Medical<br />

Center, Memphis, TN, 2 University <strong>of</strong> Tennessee Health Sciences Center,<br />

Memphis, TN<br />

Background: Historically micro-titer plate assays have required mean values <strong>of</strong><br />

duplicate calibrators and patient samples to be used/reported. The lab at <strong>the</strong> VAMC<br />

recently acquired a Triturus (Grifols; Los Angeles, CA) ELISA analyzer to bring our<br />

Vitamin D assay in-house. Current (approximately 2000 requests per month) and<br />

anticipated volumes make single versus duplicate testing significant from both turnaround<br />

time and cost perspectives.<br />

Methods: Using <strong>the</strong> first <strong>of</strong> two duplicate OD values for <strong>the</strong> seven standards,<br />

calibration curves were constructed using a four parameter logistic (4PL) function on<br />

two different runs using Table Curve 2D s<strong>of</strong>tware (Systat, San Jose, CA). Recoveries<br />

on <strong>the</strong> standards were assessed using <strong>the</strong> new calibration curves. We also determined<br />

results on 39 patients using <strong>the</strong> first <strong>of</strong> <strong>the</strong> two OD values and a single value calibration<br />

curve and compared <strong>the</strong>se with Vitamin D concentrations determined from <strong>the</strong> mean<br />

<strong>of</strong> two OD determinations using EP Evaluator s<strong>of</strong>tware [Data Innovations, South<br />

Burlington, VT].<br />

Results: Fitting <strong>the</strong> data from assigned concentrations and first determination <strong>of</strong> OD<br />

to a 4PL function we obtain:Y = a + {b/ (1 + [x/c] d )}. On two separate runs where<br />

Y = OD, x = vitamin D concentration, a = (.27, .29), b = (1.88, 1.92), c = (12.09,<br />

12.69), d = (1.76, 1.80) and r-sq = .99. Comparing concentrations <strong>of</strong> <strong>the</strong> standards<br />

obtained from <strong>the</strong> above equation to <strong>the</strong> designated concentrations we found that<br />

for <strong>the</strong> concentration range [5.9-132] ng/mL <strong>the</strong> ratios were [97.5-110%] and [98-<br />

105%]. The ratios dropped to 56 and 89% at an expected concentration <strong>of</strong> 2.7 ng/dL<br />

and <strong>the</strong> zero calibrator results were 1.3 and .78 ng/dL. Comparing results that used<br />

first OD readings [F] versus those derived from duplicate testing [D} for 39 patients<br />

employed Deming regression (DR): F = 1.05 • D - 1.65 . The range <strong>of</strong> D was 6.6-55.6<br />

ng/mL with 95% CIs on <strong>the</strong> slope and y-intercept <strong>of</strong> [1.03, 1.08] and [-2.38, -0.92]<br />

respectively and r-sq = .998. In comparing distribution <strong>of</strong> patient results among <strong>the</strong><br />

classes 35 ng/mL., <strong>the</strong>re was complete concordance between D<br />

and F results. A comparison <strong>of</strong> D and F to results from <strong>the</strong> reference lab suggested<br />

similar performance with 21 and 20 percent respectively <strong>of</strong> <strong>the</strong> patient specimens<br />

being misclassified by one category. Between duplicate CVs on standards and patient<br />

sample ODs were


Factors Affecting Test Results<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

ambient temperature for ≤2h (baseline) or 4h, and o<strong>the</strong>r aliquots were stored at<br />

2-8°C or incubated at 37°C overnight. Two days later this procedure was repeated<br />

with a second fresh collection <strong>of</strong> urine from <strong>the</strong> same subjects supplemented with<br />

recombinant proteins (2.9 ng/mL KIM-1, 0.56 ng/mL clusterin, 0.11 ng/mL Cys-C, or<br />

0.56 ng/mL RBP4). Aliquots from each condition were thawed <strong>the</strong> day after collection<br />

and analyzed by ELISA or enzyme activity-assay.<br />

Results: Mean creatine-normalized biomarker concentrations in <strong>the</strong> various iterations<br />

<strong>of</strong> <strong>the</strong> three pools were determined and compared to those from urine that had been<br />

preserved with CP alone. At baseline, NGAL, A1M, Cys-C and clusterin showed<br />


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Factors Affecting Test Results<br />

A-545<br />

Effect <strong>of</strong> pH on <strong>the</strong> Stability <strong>of</strong> 5-Hydroxyindole-3-acetic Acid in Urine<br />

A. Abbadi 1 , J. M. El-Khoury 2 , S. Wang 2 . 1 Cleveland State University,<br />

Cleveland, OH, 2 Cleveland Clinic, Cleveland, OH<br />

Background: Measurement <strong>of</strong> 5-hydroxyindole-3-acetic acid (5-HIAA) in urine is<br />

important in detecting metastatic carcinoid tumors and in <strong>the</strong> study <strong>of</strong> neurological<br />

disorders. A few major reference laboratories recommend acidification <strong>of</strong> urine<br />

samples to stabilize 5-HIAA, especially at ambient temperature. However, <strong>the</strong> pH<br />

effect on <strong>the</strong> stability <strong>of</strong> this analyte is poorly defined in <strong>the</strong> literature. The objective<br />

<strong>of</strong> this study was to evaluate <strong>the</strong> pH effect on <strong>the</strong> stability <strong>of</strong> 5-HIAA in urine at<br />

ambient temperature.<br />

Methods: A 24-hr urine sample was split into two batches which were spiked with<br />

5-HIAA at concentrations <strong>of</strong> 5 mg/L and 15 mg/L, respectively. These batches were<br />

<strong>the</strong>n aliquoted and <strong>the</strong> pH was adjusted to 2, 7, and 9, with <strong>the</strong> unadjusted pH <strong>of</strong> <strong>the</strong><br />

urine sample being 5.73. Baseline samples (n=3) consisting <strong>of</strong> <strong>the</strong> unadjusted urine<br />

were frozen at -70°C immediately, while remaining aliquots were kept at ambient<br />

temperature <strong>the</strong>n frozen at different time intervals (days 1, 4 and 7). All aliquots were<br />

thawed and analyzed in a single batch by a high performance liquid chromatography<br />

method. The criterion for significant change was 10.2%, which was calculated based<br />

on <strong>the</strong> within subject biological variation (20.3%). The analytical variation <strong>of</strong> <strong>the</strong><br />

method was 2.89%.<br />

Results: The percent difference from baseline <strong>of</strong> <strong>the</strong> urinary 5-HIAA measurements at<br />

all tested pH conditions was less than 2.89% for up to 24 hours. Beyond that, 5-HIAA<br />

started to break down. The largest change was less than 7%.<br />

Conclusions: Contrary to <strong>the</strong> common practice, this study demonstrated that<br />

acidification <strong>of</strong> urine samples should not be required for stabilizing 5-HIAA in urine.<br />

Samples can be stored at ambient temperature non-acidified for up to 7 days.<br />

A-546<br />

AST assay performed using VITROS® 5600 MicroSlide reagent is<br />

sensitive to platelet resuspension.<br />

V. Ricchiuti, B. Karr, C. Cronin, F. Lucas. University <strong>of</strong> Cincinnati Medical<br />

Center, Cincinnati, OH<br />

Background: Resuspension <strong>of</strong> platelets into centrifuged plasma during transportation<br />

may lead to artificially elevated aspartate aminotransferase (AST) using VITROS®<br />

MicroSlide assay (VITROS® 5600, Ortho-Clinical Diagnostics, Inc., Rochester,<br />

NY). We performed a study to verify that a heparin plasma versus serum tube<br />

should be “kept upright” after centrifugation during transportation to avoid platelet<br />

contamination.<br />

Method: Heparin plasma (BD Vacutainer PST PLUS, Cat#367962) and serum (BD<br />

Vacutainer SST PLUS, Cat#367986) samples collected at same day and time were<br />

selected (n=50 each). Samples were transported upright to <strong>the</strong> VITROS® 5600 after<br />

reaching room temperature (RT), loaded onto <strong>the</strong> analyzer and tested for a panel <strong>of</strong><br />

four tests: AST which will be affected by platelet resuspension and three o<strong>the</strong>r tests<br />

used as controls such as alanine aminotransferase (ALT), potassium (K) and thyroidstimulating<br />

Hormone (TSH) (Group A). Samples were centrifuged to ensure platelet<br />

poor plasma (platelet counts (PLTC)


Factors Affecting Test Results<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

pool samples were quantitatively analyzed with Vantera at ambient air temperatures<br />

<strong>of</strong> 60, 65, 70, 75, 80, and 85 °F. Each <strong>of</strong> <strong>the</strong> six temperature points were tested at<br />

humidity levels <strong>of</strong> 15% and 80%. For vibration testing, <strong>the</strong> same standardized samples<br />

were quantitatively analyzed with Vantera while subjected to average vertical floor<br />

vibrations <strong>of</strong> approximately 60, 250, 280, and 335 micro-gravities at 3, 7, 12, and 30<br />

Hz, respectively.<br />

Results: At 60 °F, low-density lipoprotein particle number (LDL-P) bias was slightly<br />

over 10% (10.3%) when calculated with respect to approximate maximum values<br />

obtained at 75 °F. Interpolation <strong>of</strong> <strong>the</strong> data at 60 and 65 °F showed that 61 °F was <strong>the</strong><br />

temperature at which LDL-P bias was within 10%. At temperatures between 61 and 85<br />

°F, LDL-P bias was less than 10%. LDL-P bias between <strong>the</strong> 15% and 80% humidity<br />

levels was less than 7% at all temperatures tested. LDL-P bias due to floor vibrations<br />

was less than 6% at all frequencies tested.<br />

Conclusion: Our experiments show that <strong>the</strong> measurement <strong>of</strong> LDL-P on Vantera<br />

can be affected by environmental conditions such as temperature, humidity, and <strong>the</strong><br />

presence <strong>of</strong> floor vibrations even after temperature dependent linear normalization<br />

and vibration isolation is applied. However, while <strong>the</strong> amount <strong>of</strong> bias present at each<br />

environmental condition is statistically significant, it is not clinically significant as<br />

<strong>the</strong> variance in mean analyte value in each case is less than 10% which is acceptable<br />

in clinical laboratories. Fur<strong>the</strong>rmore, <strong>the</strong> humidity and vibration levels tested in<br />

this study represent extreme conditions and are not considered standard operating<br />

conditions in a clinical laboratory.<br />

A-548<br />

Inappropriate Gel Barrier Formation at Low and Normal Total<br />

Protein Concentrations<br />

H. Li 1 , J. R. Healey 2 , M. Rapp 1 , L. E. Keczem 1 , A. S. Ptolemy 1 . 1 Gamma-<br />

Dynacare Medical Laboratories, London, ON, Canada, 2 Gamma-Dynacare<br />

Medical Laboratories, Brampton, ON, Canada<br />

Background: Laboratories <strong>of</strong>ten perform routine chemical analyses with serumbased<br />

blood collection tubes containing separator gels. Following centrifugation,<br />

inappropriate gel barrier formation has previously been reported to occur in specimens<br />

with elevated densities and total protein concentrations. In <strong>the</strong>se specimens <strong>the</strong> barrier<br />

gel may float on or near <strong>the</strong> surface <strong>of</strong> <strong>the</strong> sample supernatant. Such an occurrence is<br />

<strong>of</strong> concern to laboratories with automated centrifugation and on-line sample transport<br />

systems linked to <strong>the</strong>ir chemical analyzers. Over an approximate six-month period we<br />

identified fifteen serum samples with anomalously floating separator gels. This study<br />

examined <strong>the</strong> relationship between total protein concentration and inappropriate gel<br />

formation. The presence and potential impact <strong>of</strong> serum protein abnormalities on gel<br />

barrier formation was also investigated by protein electrophoresis.<br />

Methods: In <strong>the</strong> fifteen specimens visually identified to have inappropriately<br />

formed gel barriers, following routine centrifugation at 2000g for 10 min, <strong>the</strong> serum<br />

total protein level was quantified by a colorimetric assay on a Roche Modular<br />

system (Roche Diagnostics). Patient serum was also analyzed by serum protein<br />

electrophoresis (SPE) and immun<strong>of</strong>ixation electrophoresis (IFE) (Sebia Hydrasys 2)<br />

to detect serum abnormalities. All testing was performed according to manufacturer<br />

recommendations. The quantified total protein levels (reference range: 60 to 80 g/L)<br />

and identified serum abnormalities were systemically reviewed for <strong>the</strong> specimen<br />

cohort, which consisted <strong>of</strong> six male and nine female patients ranging from 39 to 95<br />

years in age. The average patient age was 78 years. No clinical history, including<br />

any potential gammopathy diagnoses or previous SPE testing, was available for all<br />

patients.<br />

Results: The average (mean ± SD) total protein concentration for all specimens (N<br />

= 15) was 72 ± 19 g/L. The total protein levels <strong>of</strong> only two specimens exceeded <strong>the</strong><br />

normal range. Their protein concentrations were 89 and 131 g/L, respectively. Five<br />

specimens had low total protein concentrations, which ranged from 50 to 58 g/L in<br />

<strong>the</strong>se samples. The average concentration <strong>of</strong> protein in <strong>the</strong> remaining nine samples<br />

was 72 ± 19 g/L. Inappropriate gel barrier formation with low to normal total protein<br />

concentrations has not been previously reported. SPE revealed <strong>the</strong> gamma globulin<br />

fraction to be elevated (reference range: 6 to 14 g/L) in six <strong>of</strong> <strong>the</strong> fifteen specimens<br />

(40%), including <strong>the</strong> two samples with elevated total protein. The presence <strong>of</strong><br />

monoclonal protein, an IgG-κ and IgM-κ, was identified in two patients, respectively.<br />

Conclusion: Serum-based blood collection tubes containing separator gels<br />

may experience inappropriate barrier formation at low to normal total protein<br />

concentrations. High solution density is likely responsible for <strong>the</strong> observed floating<br />

gel barriers. Laboratories should be aware that total protein concentration is not <strong>the</strong><br />

sole variable governing inappropriate gel barrier formation.<br />

A-549<br />

Chart review and Statistical Analysis <strong>of</strong> Patient Values Demonstrating<br />

that Sample pH can Contribute to Discrepancies Between Total<br />

Carbon Dioxide Measurements and Calculated Bicarbonate Values<br />

M. P. A. Henderson, J. L. Shaw, C. R. McCudden, S. L. Perkins. The<br />

Ottawa Hospital and The University <strong>of</strong> Ottawa, Ottawa, ON, Canada<br />

Objectives: Bicarbonate concentration is commonly used in <strong>the</strong> assessment <strong>of</strong><br />

acid-base status. In clinical practice, measured total carbon dioxide and calculated<br />

bicarbonate are <strong>of</strong>ten used interchangeably, however, discrepancies are observed.<br />

Historical patient data was used to examine <strong>the</strong> relationship between measured total<br />

carbon dioxide and calculated bicarbonate.<br />

Methods: Total carbon dioxide in serum or plasma was measured enzymatically on<br />

<strong>the</strong> Siemens Dimension Vista 1500. Whole blood pH and pCO2 were measured on<br />

<strong>the</strong> GEM 4000 blood gas analyzer by ion-selective electrodes. The blood gas analyzer<br />

calculated bicarbonate using <strong>the</strong> Henderson-Hasselbach equation which assumes a<br />

pKa <strong>of</strong> 6.1. Records from 8849 blood gas analyses performed at The Ottawa Hospital<br />

were linked to total carbon dioxide measured on <strong>the</strong> same patient within 2 hours.<br />

Deming regression examined <strong>the</strong> relationship between calculated bicarbonate and<br />

measured total carbon dioxide. Linear regression examined <strong>the</strong> effect <strong>of</strong> pH, sodium<br />

concentration (as a surrogate for ionic strength), time interval between measurements,<br />

and pCO2 on <strong>the</strong> difference between carbon dioxide and bicarbonate values.<br />

Results: The relationship between total carbon dioxide and calculated bicarbonate<br />

shows proportional and constant bias: Calculated Bicarbonate = 1.23 * Total CO2<br />

− 5.43. The sample pH has a significant effect on <strong>the</strong> difference between calculated<br />

bicarbonate and total carbon dioxide (Table 1). While o<strong>the</strong>r factors in <strong>the</strong> model<br />

are statistically significant, <strong>the</strong>y have inconsequential beta coefficients. Upon chart<br />

review, many <strong>of</strong> <strong>the</strong> patients with large discrepancies exhibited respiratory failure/<br />

distress.<br />

Conclusions: Calculated bicarbonate and total carbon dioxide agree well near <strong>the</strong><br />

reference interval but exhibit proportional and constant bias at extremes <strong>of</strong> pH.<br />

Calculated bicarbonate and total carbon dioxide should not be used interchangeably in<br />

patients with acid-base disturbances. In <strong>the</strong>se situations, measurement <strong>of</strong> total carbon<br />

dioxide is preferable.<br />

Summary <strong>of</strong> Linear Regression Analysis <strong>of</strong> <strong>the</strong> Difference between Calculated Bicarbonate<br />

and Measured<br />

Paremeter Estimate (β-coefficient) Std. Error t-value Pr (> t)<br />

Intercept 59.81 3.68 16.25 0.00<br />

pH -8.56 0.5 -17.06 0.00<br />

pCO2 -0.06 0.01 -12.64 0.00<br />

Sodium -0.02 0.01 -7.03 0.00<br />

Bicarbonate 0.35 0.01 36.87 0.00<br />

Time (min.) 0.00 0.01 4.27 0.00<br />

A-550<br />

Ethanol is unaffected by clearing <strong>of</strong> lipemic samples using an airfuge<br />

A. A. Venner, A. Dennis, K. Carter, J. C. Wesenberg. Alberta Health<br />

Services, Red Deer, AB, Canada<br />

Background: Ethanol is commonly assayed on chemistry analyzers, <strong>of</strong>ten along<br />

with o<strong>the</strong>r requested analytes. Lipemia interferes with a variety <strong>of</strong> tests on chemistry<br />

analyzers. This interference is commonly avoided by using an airfuge to clear samples<br />

prior to analysis. However as ethanol is volatile, <strong>the</strong>re is concern that airfuging may<br />

negatively impact <strong>the</strong> result. This study evaluated <strong>the</strong> effect <strong>of</strong> airfuging serum/<br />

plasma samples tested for ethanol on a chemistry analyzer.<br />

Methods: Twenty-six serum/plasma patient samples with ethanol concentrations<br />

from 5-63 mmol/L (23-290 mg/dL) were tested on a Siemens Dimension Vista®<br />

1500 analyzer before and after airfuging (Beckman Airfuge Ultracentrifuge for 10<br />

minutes at 30 psi). Data analysis included summary statistics, paired two-sample t-test<br />

analysis, absolute and relative difference calculation, and agreement assessment by<br />

Bland-Altman.<br />

Results: For all twenty six samples, <strong>the</strong> mean ± 1SD was 33.9 ± 15.7 mmol/L (156<br />

± 72 mg/dL) pre-airfuge and 33.2 ± 15.6 mmol/L (153 ± 72 mg/dL) post-airfuge.<br />

As most results were marginally lower post-airfuge, <strong>the</strong> t-test showed a statistical<br />

difference (p-value = 0.004). As <strong>the</strong> range <strong>of</strong> differences was only -3.1 to 1.9 mmol/L<br />

(-14 to 9 mg/dL), <strong>the</strong> difference was not considered clinically significant. The results<br />

were highly correlated (Pearson correlation = 0.9977). The Bland-Altman analysis<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A165


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Factors Affecting Test Results<br />

(Figure) indicated that <strong>the</strong> 95% limits <strong>of</strong> agreement between <strong>the</strong> pre- and post-airfuge<br />

results were between a narrow range <strong>of</strong> -2.74 and 1.43 mmol/L (-13 and 7 mg/dL),<br />

supporting <strong>the</strong> lack <strong>of</strong> clinical significance.<br />

Conclusion: The difference in ethanol results pre- and post-airfuge was not clinically<br />

significant. The airfuge is beneficial for ethanol assays affected by lipemia. Even if<br />

<strong>the</strong> ethanol assay is unaffected by lipemia, if <strong>the</strong>re are requested tests that are affected,<br />

use <strong>of</strong> <strong>the</strong> airfuge and <strong>the</strong> ability to run all <strong>of</strong> <strong>the</strong> tests toge<strong>the</strong>r improves workflow.<br />

A-551<br />

Sodium Azide Mediated Inhibition <strong>of</strong> LOCI® Assay Methods on <strong>the</strong><br />

Siemens Dimension® ExL<br />

B. Fernández, M. Ghadessi, M. Ban. Quantimetrix, Redondo Beach, CA<br />

Background: Sodium azide (NaN3) is an effective biocide in solutions that may<br />

o<strong>the</strong>rwise support microbial growth. NaN3 is a common preservative in many<br />

reagent, control, and calibrator formulations. The Siemens Dimension® ExL is<br />

an integrated chemistry and immunoassay analyzer that supports <strong>the</strong> luminescent<br />

oxygen channeling (LOCI®) assay technology capable <strong>of</strong> <strong>the</strong> rapid determination <strong>of</strong><br />

many analytes over a wide range <strong>of</strong> concentrations. Latex particle pairs, containing a<br />

photosensitizer and chemiluminescer, are formed through specific binding interactions<br />

with <strong>the</strong> sample. Illumination at 680nm generates <strong>the</strong> formation <strong>of</strong> singlet oxygen<br />

which triggers a luminescence emission used to determine <strong>the</strong> analyte concentration.<br />

Since NaN3 is potent scavenger <strong>of</strong> singlet oxygen, control and calibrator materials<br />

formulated with NaN3 may inhibit <strong>the</strong> signal on LOCI assay methods.<br />

Objective: To determine <strong>the</strong> effect <strong>of</strong> NaN3 on <strong>the</strong> Siemens Dimension ExL TNI and<br />

NTP LOCI assay methods.<br />

Methods: A NaN3-free human serum derived matrix was formulated with preparations<br />

<strong>of</strong> cardiac Troponin I (TNI) and N-terminal pro-natriuretic peptide (NTP) to clinically<br />

significant levels. Aliquots were divided into 8 pools to which sodium azide was<br />

added at 0, 0.05, 0.1, 0.2, 0.24, 0.48, 0.95, and 1.9 mg/mL respectively <strong>the</strong>n were<br />

assayed for TNI and NTP recovery on <strong>the</strong> Siemens Dimension ExL.<br />

Results:<br />

Table 1: Effect <strong>of</strong> NaN3 on <strong>the</strong> Siemens Dimension ExL TNI and NTP LOCI Assays<br />

NaN3 (mg/mL)<br />

% Recovery vs 0 NaN3<br />

LOCI TNI<br />

LOCI NTP<br />

0 100% 100%<br />

0.05 94% 97%<br />

0.1 87% 91%<br />

0.2 83% 87%<br />

0.24 77% 86%<br />

0.48 62% 73%<br />

0.95 43% 59%<br />

1.9 25% 39%<br />

Conclusion: NaN3 is a potent inhibitor <strong>of</strong> <strong>the</strong> TNI and NTP LOCI assays on <strong>the</strong><br />

Siemens Dimension ExL. The formulation in <strong>the</strong> commonly used 0.95 mg/mL NaN3<br />

concentration resulted in a significant suppression <strong>of</strong> results. While this study was<br />

limited to only TNI and NTP, it is likely that o<strong>the</strong>r LOCI methods would show similar<br />

results. Control and calibrator formulated with any amount <strong>of</strong> NaN3 should be avoided<br />

on LOCI methods prevent skewed control results, calibrator curves, and ultimately<br />

prevent patient misdiagnosis. The new Quantimetrix cardiac control formulation will<br />

be NaN3-free to avoid this issue.<br />

A-552<br />

Suggested specification for Total Error <strong>of</strong> 5 different assays used in<br />

Neonatal screening, obtained by Aleatory and Systematic Error sum.<br />

R. C. M. Barbi 1 , L. G. S. Carvalho 1 , F. D. Sandrini 1 , M. Molina 2 , C. F. A.<br />

Pereira 2 . 1 DASA, Cascavel, Brazil, 2 DASA, São Paulo, Brazil<br />

Background: Screening means to identify, within a population considered “normal”,<br />

those individuals who are at risk <strong>of</strong> developing a specific disease and who would<br />

benefit from fur<strong>the</strong>r investigation (to confirm or to exclude this risk) or preventive<br />

action. An assertive neonatal screening changes dramatically <strong>the</strong> prognosis <strong>of</strong> patients,<br />

and early treatment ensures continuous life quality <strong>of</strong> affected children, being <strong>the</strong><br />

philosophical basis <strong>of</strong> neonatal screening programs worldwide. Screening tests should<br />

be simple, efficient, applicable on a large scale and cheap, and it must be remembered<br />

that it is not a diagnostic test (and <strong>the</strong>refore it is acceptable to have false negatives,<br />

although not desirable) and must have high sensitivity and specificity, although it<br />

may be associated with a large number <strong>of</strong> false positives. The Total Error or <strong>the</strong><br />

Maximum Permissible Error are different for each laboratory test, and establishes<br />

test performance so that it fits <strong>the</strong> purpose <strong>of</strong> use. The Analytical Total Error can be<br />

calculated by different approaches, <strong>the</strong> most common form is <strong>the</strong> sum <strong>of</strong> Random<br />

Error with Systematic one. Total Error Limits defines how much results can vary<br />

and/or approach targets values aimed at clinically acceptable performance for <strong>the</strong>se<br />

laboratory tests. Evaluate <strong>the</strong> total error for 5 newborn screening tests, calculated from<br />

sum <strong>of</strong> Systematic and Random Errors.<br />

Methods: The Total Error was calculated by <strong>the</strong> sum <strong>of</strong> Random and Systematic<br />

Errors <strong>of</strong> 5 different neonatal screening assays (PerkinElmer®): 17 alpha<br />

hydroxyprogesterone, total T4, immunoreactive trypsin, TSH and Phenylalanine,<br />

from January to December 2012. For <strong>the</strong> Random Error we used <strong>the</strong> coefficient<br />

<strong>of</strong> variation (CV) <strong>of</strong> each test multiplied to 1,65 for a desired confidence level <strong>of</strong><br />

90%. For Systematic Error calculation, we used results from three Pr<strong>of</strong>iciency Test<br />

providers: Control Lab® (Pesquisa Neonatal) , Centers for Disease Control and<br />

Prevention® - CDC - ( Newborn Screening Program) and Programa de Evaluación<br />

Externa de Calidad - PEEC - (Pesquisa Neonatal).<br />

Results: The medium CV <strong>of</strong> <strong>the</strong> period for each analyte was 8,27% for 17 alpha<br />

hydroxyprogesterone, 13,33%, for total T4, 8,78% for immunoreactive trypsin, 9,96%<br />

for TSH and 17,75% for Phenylalanine. The Total Error obtained was 22.57% for<br />

17 alpha hydroxyprogesterone, 26.54%, for total T4, 22.39% for immunoreactive<br />

trypsin, 23.38% for TSH and 35.0% for Phenylalanine.<br />

Conclusion: Taking into account <strong>the</strong> medium CV <strong>of</strong> <strong>the</strong> period, for each analyte,<br />

compared to <strong>the</strong> CV reported by <strong>the</strong> manufacturer in <strong>the</strong> package insert, we realized<br />

that all our obtained CVs are smaller than <strong>the</strong> ones informed by PerkinElmer®. We<br />

also note that <strong>the</strong> results <strong>of</strong> <strong>the</strong> Pr<strong>of</strong>iciency Testing are all suitable. Considering<br />

all <strong>the</strong>se issues we can assume that <strong>the</strong> calculated Total Error for <strong>the</strong>se assays are<br />

adequate for its proposed purposes.<br />

A-553<br />

Case Report: Molecular fetal sex determination and allogeneic<br />

immunization.<br />

F. Oliveira 1 , P. trojano 1 , P. Macedo 1 , F. Monica 2 , N. Gaburo 1 . 1 DASA, Sao<br />

Paulo Brasil, Brazil, 2 DASA, Rio de Janeiro Brasil, Brazil<br />

Background: The immunization using paternal lymphocytes has been used as<br />

treatment in women who had consecutive miscarriages. In literature, <strong>the</strong>re is a<br />

concern whe<strong>the</strong>r this treatment can interfere with <strong>the</strong> results <strong>of</strong> tests like identification<br />

<strong>of</strong> fetal sex from maternal plasma and <strong>the</strong>re are few data published about it. Fetal<br />

sex determination is an early and non-invasive method usually performed in <strong>the</strong> first<br />

trimester <strong>of</strong> pregnancy with fetal genetic material amplified from maternal plasma<br />

by a molecular method. This test targets <strong>the</strong> DSY14 region <strong>of</strong> Y chromosome and is<br />

routinely performed at DASA´s Molecular Diagnostics laboratory.<br />

Methods:A 33 years old woman, at week 8 <strong>of</strong> pregnancy was submitted to fetal sex<br />

determination by molecular method. The test was performed in duplicate, using two<br />

different DNA extractions from two different tubes, following <strong>the</strong> laboratory standard<br />

procedure.<br />

Results: Result was compatible with <strong>the</strong> presence <strong>of</strong> male fetus, with <strong>the</strong> target<br />

DSY14 amplification cycle threshold in 33.21 and 33.85 (cycles bellow 35.62 are<br />

considered positive). At 18 th gestational week ultrasound suggests a presence <strong>of</strong><br />

female fetus, in disagreement with previous fetal sex determination results and a<br />

new blood sample was collected to repeat <strong>the</strong> test. The result was found female, with<br />

A166 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Factors Affecting Test Results<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

absence <strong>of</strong> DSY14 region amplification. The test was also repeated using <strong>the</strong> original<br />

primary tube sample and <strong>the</strong> male result was confirmed (excluding possible sample<br />

mixup). The contact with patient’s physician brought <strong>the</strong> information that she was<br />

submitted to an allogeneic immunization using paternal lymphocytes only one day<br />

prior to sample collection for fetal sex test.<br />

Conclusion: In this case, <strong>the</strong> immunization with male cells procedure one day prior<br />

to sample collection has interfered with results <strong>of</strong> fetal sex determination when <strong>the</strong><br />

DSY14 is detected in plasma <strong>of</strong> pregnant women.<br />

A-554<br />

Validation <strong>of</strong> four vacuum tubes with different inhibitor <strong>of</strong> glycolysis<br />

G. Lima-Oliveira 1 , G. Lippi 2 , G. Salvagno 3 , M. Montagnana 3 , G. Picheth 1 ,<br />

G. Guidi 3 . 1 Federal University <strong>of</strong> Parana, Curitiba, Brazil, 2 University <strong>of</strong><br />

Parma, Parma, Italy, 3 University <strong>of</strong> Verona, Verona, Italy<br />

Background and objective: Necessary improvements and potential sources <strong>of</strong><br />

nonconformities, ei<strong>the</strong>r technical or concerning <strong>the</strong> quality management system, shall<br />

be indentified and all laboratory process shall be validated. The aim <strong>of</strong> this study<br />

was to validate four different kinds <strong>of</strong> sodium fluoride vacuum tubes for glucose and<br />

lactate determinations.Methods: Blood specimens from 19 volunteers were collected<br />

by a single, expert phlebotomist. All were maintained seated for 15 minutes to<br />

eliminate possible interferences <strong>of</strong> blood distribution. After this interval <strong>of</strong><br />

time, a vein was located on <strong>the</strong> forearm using only a subcutaneous tissue<br />

transilluminator device (without tourniquet), and blood samples were collected<br />

using a 20-G straight needle (Terumo) directly into 4 different vacuum tubes: Tube I:<br />

Vacutainer® FX 5mg/4mg; Tube II: Vacuntainer® NaF 6mg Na2EDTA 12mg; Tube<br />

III: Venosafe® FX and Tube IV: Vacuo-Care® NaF/OxK). Glucose and lactate were<br />

performed on <strong>the</strong> same instrument cobas® 6000 module (Roche Diagnostics<br />

GmbH, Penzberg, Germany). The significance <strong>of</strong> <strong>the</strong> differences among samples<br />

(fluoride vacuum tubes) was assessed by Friedman test and Wilcoxon ranked-pairs<br />

test after checking for normality, at P


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Factors Affecting Test Results<br />

A-560<br />

PREANALYTICAL ERRORS IN CLINICAL LABORATORY<br />

DEPARTMENT OF A PERUVIAN NATIONAL GENERAL<br />

HOSPITAL<br />

P. C. Donayre Medina 1 , H. M. Zeballos Conislla 1 , B. J. Sanchez Jacinto 1 , A.<br />

Palacios Ramirez 2 , S. M. Flores Toledo 1 , J. C. Jara Aguirre 1 . 1 Universidad<br />

Peruana Cayetano Heredia, School <strong>of</strong> Medical Technology, Faculty <strong>of</strong><br />

Medicine Alberto Hurtado, Lima, Peru, 2 Hospital Nacional Cayetano<br />

Heredia, Lima, Peru<br />

A-559<br />

Risk Estimates for HbA1c Result Reliability Across Four Academic<br />

Medical Centers Using Analytical Performance Characteristics and<br />

Routine Quality Control Practice<br />

A. Woodworth 1 , N. Korpi-Steiner 2 , J. J. Miller 1 , R. V. Lokinendi 3 , J. C.<br />

Yundt-Pacheco 4 , L. Kuchipudi 4 , J. M. Rhea 5 , C. A. Parvin 4 , R. Molinaro 5 .<br />

1<br />

Vanderbilt University School <strong>of</strong> Medicine, Nashville, TN, 2 University <strong>of</strong><br />

North Carolina, Chapel Hill, NC, 3 University <strong>of</strong> Massachusetts Memorial<br />

Medical Center, Worcester, MA, 4 Bio-Rad Laboratories, Plano, TX, 5 Emory<br />

University, Atlanta, GA<br />

Background: Assay standardization has facilitated <strong>the</strong> utilization <strong>of</strong> HbA 1c<br />

for <strong>the</strong><br />

diagnosis <strong>of</strong> diabetes. Guidelines recommend maintenance <strong>of</strong> precise and accurate<br />

HbA 1c<br />

assays with total allowable error (TE A<br />

) goals <strong>of</strong>


Factors Affecting Test Results<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

according to CLSI EP15. The %CVs at <strong>the</strong> high, middle and low levels were 8.3, 6.8<br />

and 5.5 %, respectively. The RiLiBAEK limits (target ±7 %) were not exceeded with<br />

cholesterol irrespective <strong>of</strong> <strong>the</strong> day time or workload.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A169


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Animal Clinical Chemistry<br />

B-01<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Animal Clinical Chemistry<br />

Method Modification, Analytical Validation and Correlation <strong>of</strong> Alpha-<br />

2-Macroglobulin Assay for Use with Rat Serum on <strong>the</strong> Siemens Advia<br />

1800 Automated Clinical Chemistry Analyzer<br />

D. Carraher 1 , J. Stejskal 1 , M. Jesson 1 , S. Ramaiah 1 , P. Christensen 2 . 1 Pfi zer,<br />

Inc, Andover, MA, 2 Dako Denmark A/S, Glostrup, Denmark<br />

Acute phase proteins (APP) are considered to be general biomarkers <strong>of</strong> systemic<br />

inflammation, and <strong>the</strong>re is strong correlation between <strong>the</strong>ir measured changes in blood<br />

and o<strong>the</strong>r inflammatory end-points. C-reactive protein (CRP) is a well-established<br />

and widely used indicator <strong>of</strong> <strong>the</strong> acute phase response in humans, but has an altered<br />

temporal and dynamic response in rodents making it a poor biomarker for pre-clinical<br />

studies. In contrast, alpha-2-macroglobulin (A2M) and haptoglobin respond rapidly<br />

and achieve sustained levels following systemic inflammation in rat, while serum<br />

amyloid A and serum amyloid P are better indicators in mouse. Since <strong>the</strong> underlying<br />

mechanisms <strong>of</strong> induction are similar for <strong>the</strong>se proteins, <strong>the</strong>y typically demonstrate<br />

good pre-clinical to clinical translatability, making <strong>the</strong>m useful tools in <strong>the</strong> drug<br />

discovery setting when screening for compounds with better safety pr<strong>of</strong>iles or when<br />

measuring efficacy in disease models.<br />

The objective <strong>of</strong> this study was to verify whe<strong>the</strong>r assay modifications made to an<br />

automated, human application <strong>of</strong> A2M (Dako) could be used to measure <strong>the</strong> acute<br />

phase protein (A2M) in rats with results comparable to a non-automated, rat-specific<br />

ELISA platform. The ultimate goal was to transfer <strong>the</strong> rat assay to <strong>the</strong> Siemens Advia<br />

1800 and take advantage <strong>of</strong> <strong>the</strong> high throughput, rapid turnaround time, and ease-<strong>of</strong>use<br />

<strong>of</strong> <strong>the</strong> automated platform. Modifications <strong>of</strong> <strong>the</strong> clinical A2M application included<br />

altering <strong>the</strong> dilution <strong>of</strong> <strong>the</strong> polyclonal antibody in <strong>the</strong> Dako reagent. Increasing <strong>the</strong><br />

concentration <strong>of</strong> A2M antibody increased <strong>the</strong> binding capacity <strong>of</strong> <strong>the</strong> assay, thus<br />

imparting improved sensitivity to <strong>the</strong> rat platform. Also pivotal to <strong>the</strong> rat A2M<br />

method development was manipulation <strong>of</strong> <strong>the</strong> Advia 1800 to create a 6-point standard<br />

curve (0.00-11.00g/L) from a single standard, Life Diagnostic’s Rat A2M calibrator<br />

(1.33g/L). To correlate <strong>the</strong> automated method with <strong>the</strong> ELISA assay, experimental rat<br />

serum samples containing varying levels <strong>of</strong> A2M were generated. Briefly, Lewis rats<br />

were immunized with 2.25 mg <strong>of</strong> Mycobacterium butyricum emulsified in incomplete<br />

Freund’s adjuvant to induce adjuvant induced arthritis. Animals were divided into<br />

treatment groups which included a <strong>the</strong>rapeutic known to inhibit inflammation. Serum<br />

A2M was analyzed using both <strong>the</strong> rat-specific ELISA (Life Diagnostics, cat #2810-2)<br />

and <strong>the</strong> Advia 1800 automated platform. Correlation between <strong>the</strong> two platforms was<br />

acceptable (Deming slope, 1.889; regular slope, 1.868) and A2M measurements from<br />

both assays correlated with <strong>the</strong> degree <strong>of</strong> inflammation observed for each group. Mean<br />

Advia assay values for <strong>the</strong> treatment groups were 3.29g/L (vehicle controls), 2.80g/L<br />

(low dose), 1.07g/L (high dose) and


Animal Clinical Chemistry<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

protein that was spiked in <strong>the</strong> urine matrix was contributing to <strong>the</strong> variability seen. To<br />

fur<strong>the</strong>r test urine stability, all timepoints and freeze-thaw cycles were repeated with<br />

urine samples spiked with calibrator (10%). Follow-up testing confirmed stability out<br />

to 3 months and three freeze-thaw cycles.<br />

Conclusion: The DakoCytomation Cystatin C assay met all outlined criteria for<br />

validation and is appropriate for use in canine serum, plasma and urine samples to<br />

support pre-clinical toxicology studies.<br />

B-04<br />

Optimization, Validation, and Implementation <strong>of</strong> Hematology<br />

Automation in a Multispecies Clinical Pathology Laboratory<br />

S. E. Wildeboer, A. G. Bull, J. E. Graves, C. Phanthalansy, R. P. Giovanelli.<br />

Pfi zer Global Research and Development, Groton, CT<br />

Background: Hematology sample processing <strong>of</strong>ten requires time consuming<br />

preparation and handling <strong>of</strong> samples. In order to improve laboratory efficiency, we<br />

validated two automation platforms, an automated slide maker and stainer and cell<br />

imaging and pre-classification s<strong>of</strong>tware in our multispecies laboratory. We selected<br />

<strong>the</strong> Sysmex SP-1000i TM automated slide preparation unit and CellaVision TM DM96<br />

automated cell imaging instrumentation based on predetermined requirements.<br />

Methods: The Sysmex SP-1000i was optimized for canine, non-human primate<br />

and rat peripheral blood smear preparation and staining using a May Grünwald-<br />

Geimsa stain after evaluation <strong>of</strong> multiple stain options. 10 samples per species<br />

were prepared and manual differentials were compared to automated results and an<br />

overall morphology review to ensure proper cell staining. Stain quality for additional<br />

species was evaluated including rabbits, mice, felines, cattle, and pigs to complete<br />

<strong>the</strong> validation <strong>of</strong> <strong>the</strong> instrument. To validate <strong>the</strong> CellaVision DM 96, stained smears<br />

were imaged from 100 slides <strong>of</strong> varying species including human, canine, non-human<br />

primate, mouse, rat and feline. Manual differential and morphology was performed<br />

microscopically and compared to those performed using <strong>the</strong> CellaVision s<strong>of</strong>tware for<br />

correlation. Effort and use metrics were collected for a period <strong>of</strong> 3 months during <strong>the</strong><br />

evaluation period to estimate time savings and project impact.<br />

Results: Optimization <strong>of</strong> <strong>the</strong> Sysmex SP-1000i allowed conservation <strong>of</strong> both slide<br />

angle and stain timing for all smears. The May Grünwald-Giemsa stain produced <strong>the</strong><br />

most consistent stain quality and best cell identification features across all species<br />

evaluated. Once implemented, <strong>the</strong> automation <strong>of</strong> <strong>the</strong> slide preparation process saved<br />

our laboratory 80 FTE hours per year. With <strong>the</strong> consistency gains obtained using <strong>the</strong><br />

slide preparation and staining from <strong>the</strong> Sysmex SP-1000i, we acquired a CellaVision<br />

DM96 automated cell imaging unit. Differential and morphology review using <strong>the</strong><br />

CellaVision s<strong>of</strong>tware was consistent with microscopic review. Implementation <strong>of</strong> <strong>the</strong><br />

cell imaging and review process reduced our overall result turnaround time. Additional<br />

identified benefits gained with <strong>the</strong> implementation <strong>of</strong> cell imaging s<strong>of</strong>tware include<br />

interfacing with our LIS, creation <strong>of</strong> reference databases, archival <strong>of</strong> cellular images,<br />

easy pathologist review, and implementation <strong>of</strong> a comprehensive cell morphology<br />

competency program.<br />

Conclusion: The incorporation <strong>of</strong> automated slide preparation, staining and cellular<br />

identification allowed recognized efficiency gains in our Clinical Pathology laboratory.<br />

By streamlining <strong>the</strong> peripheral blood smear process, we were able to consistently make<br />

peripheral blood smears which enabled <strong>the</strong> use <strong>of</strong> cellular identification methodology<br />

to be incorporated. As a result <strong>of</strong> <strong>the</strong> implementation <strong>of</strong> hematology automation, we<br />

found a significant reduction in time spent in <strong>the</strong> production and review <strong>of</strong> peripheral<br />

blood smears.<br />

B-05<br />

Determination <strong>of</strong> total serum cholesterol, HDL-C, and LDL-C in sera<br />

from humans and laboratory animals using 3 reagent systems and<br />

FPLC<br />

N. Everds 1 , M. Zhou 2 , L. Ross 3 , S. Z. Ratia 2 , P. Fordstrom 2 , J. F. Schroeder 3 ,<br />

A. D. Aulbach 4 . 1 Amgen, Inc., Seattle, WA, 2 Amgen, Inc., South San<br />

Francisco, CA, 3 Amgen, Inc., Thousand Oaks, CA, 4 MPI Research,<br />

Mattawan, MI<br />

Background: This study evaluated <strong>the</strong> performance <strong>of</strong> Roche and Beckman-Coulter<br />

(B-C) clinical chemistry instruments and reagents for <strong>the</strong> determination <strong>of</strong> total<br />

serum cholesterol (TCHOL) and high-density and low-density lipoprotein cholesterol<br />

fractions (HDL-C and LDL-C) for humans and 5 laboratory animal species.<br />

Methods: 10 serum samples from each species were prepared from whole blood<br />

collected under fasted conditions. For human, cynomolgus monkey, rabbit, rat, and<br />

hamsters, each tube was from an individual subject. For mice, each tube contained<br />

serum pooled from multiple animals. Aliquots were prepared from each <strong>of</strong> <strong>the</strong> 10<br />

serum tubes/species, and frozen until analyzed. Aliquots were analyzed for TCHOL,<br />

HDL-C, and LDL-C using Roche or B-C instruments (Cobas Integra 400 and Olympus<br />

AU 400, 640, or 2700, respectively) and reagents as follows: TCHOL: Roche and<br />

B-C enzymatic assays; HDL-C: Roche dextran-based assay, Olympus detergent<br />

and antibody based assays; LDL: Roche cyclodextrin-based and B-C detergentbased<br />

assays. Aliquots were also fractionated by fast protein liquid chromatography<br />

(FPLC), from which HDL-C and LDL-C were calculated by determining TCHOL<br />

concentrations in each fraction using Roche reagents.<br />

Results: Results for TCHOL measured by Roche and B-C reagents were concordant<br />

for all species. Results for HDL-C measured by Roche reagents and HDL-C measured<br />

by B-C antibody-based reagents were also concordant for all species. However, results<br />

for HDL-C measured by B-C detergent-based reagents were concordant with Roche<br />

and B-C antibody-based reagents only for human, cynomolgus monkeys, rabbits, and<br />

hamsters. For rats and mice, HDL-C concentrations measured by B-C detergent based<br />

reagents were lower than those measured with <strong>the</strong> o<strong>the</strong>r 2 HDL-C assay systems.<br />

HDL-C concentration estimated by FPLC was similar to measurements using <strong>the</strong><br />

Roche and B-C antibody based reagents for all species except rats and hamsters,<br />

which had higher HDL-C measured by FPLC. LDL-C particles for <strong>the</strong>se two species<br />

do not elute separately from HDL-C particles, likely resulting in this overestimation<br />

by FPLC. LDL-C concentrations measured by Roche reagents and B-C detergentbased<br />

reagents were concordant for human, cynomolgus monkey, rabbit, and hamster,<br />

but not rats and mice. LDL-C concentrations for rats and mice were lower using <strong>the</strong><br />

B-C detergent based assay compared to Roche reagents. Similarly, <strong>the</strong> sum <strong>of</strong> HDL-C<br />

plus LDL-C measured with B-C reagents was concordant with TCHOL for human,<br />

cynomolgus monkey, rabbit, and hamster, but lower than <strong>the</strong> TCHOL for rats and<br />

mice.<br />

Conclusion: Based on <strong>the</strong>se results, Roche and B-C TCHOL reagents are appropriate<br />

for all species. HDL-C Roche and B-C antibody- and detergent-based reagents are<br />

appropriate for human, cynomolgus monkeys, rabbits, and hamsters. For mice and<br />

rats, HDL-C and LDL-C concentrations are underestimated by B-C detergent-based<br />

reagents. Taken toge<strong>the</strong>r, <strong>the</strong> results suggest that Roche Diagnostics HDL-C and<br />

LDL-C reagents generate <strong>the</strong> most accurate results across <strong>the</strong> species evaluated. In<br />

animal research, <strong>the</strong> use <strong>of</strong> species-appropriate cholesterol assays is necessary for <strong>the</strong><br />

generation <strong>of</strong> accurate data.<br />

B-06<br />

Development <strong>of</strong> immunoassays for quantification <strong>of</strong> NT-proBNP in<br />

canine blood.<br />

K. R. Seferian 1 , N. N. Tamm 1 , S. V. Kozlovsky 1 , F. N. Rozov 1 , V. K.<br />

Illarionova 2 , D. M. Filimonova 3 , A. N. Kara 4 , E. V. Beketova 4 , A. G.<br />

Katrukha 1 . 1 HyTest LTD, Turku, Finland, 2 Veterinary clinic “Biocontrol”,<br />

Blokhin Cancer Research Center, Moscow, Russian Federation,<br />

3<br />

Veterinary Center “Zoovet”, Moscow, Russian Federation, 4 Department<br />

<strong>of</strong> Biochemistry, School <strong>of</strong> Biology, Moscow State University, Moscow,<br />

Russian Federation<br />

Background: B-type Natriuretic Peptide (BNP) is a cardiac hormone produced by<br />

myocardium in response to volume overload and increased filling pressure. Active<br />

BNP hormone is produced along with <strong>the</strong> N-terminal fragment NT-proBNP from a<br />

precursor molecule proBNP by <strong>the</strong> proteolytic cleavage. Both BNP and NT-proBNP<br />

are known to be powerful biomarkers <strong>of</strong> heart failure in humans. During <strong>the</strong> past 5<br />

years species-specific NT-proBNP assays were also used to diagnose heart disease<br />

in veterinary. Rapid and accurate NT-proBNP measurements are essential for timely<br />

initiation <strong>of</strong> treatment. Thus, new generation <strong>of</strong> sensitive, precise and rapid canine<br />

NT-proBNP (cNT-proBNP) assays can contribute to better clinical outcomes in<br />

veterinary patients.<br />

Methods: A panel <strong>of</strong> monoclonal antibodies (MAbs) specific to cNT-proBNP was<br />

developed. Epitope specificity <strong>of</strong> 65 newly raised MAbs was established with <strong>the</strong> help<br />

<strong>of</strong> syn<strong>the</strong>tic peptides corresponding to different regions <strong>of</strong> cNT-proBNP. Antibody<br />

epitopes were distributed throughout cNT-proBNP molecule with <strong>the</strong> exception <strong>of</strong><br />

fragments 1-13 and 50-64 amino acid residues. Regions 1-13 and 50-64 were not<br />

immunogenic; no antibodies were isolated when selected against <strong>the</strong>se fragments.<br />

DELFIA technology (Dissociation-Enhanced Lanthanide Fluorescent Immunoassay)<br />

was used for development <strong>of</strong> two-site immunoassays. MAbs were tested as capture<br />

and detection antibodies in such assays. Detection MAbs were labeled with stable<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A171


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Animal Clinical Chemistry<br />

europium chelate. Recombinant canine NT-proBNP expressed in E. coli (HyTest,<br />

Finland) was used as a calibrator in assays. EDTA plasma from dogs with heart<br />

disease was used as a source <strong>of</strong> endogenous cNT-proBNP.<br />

Results: Recent studies <strong>of</strong> human NT-proBNP revealed that <strong>the</strong> central region <strong>of</strong><br />

NT-proBNP (28-60 amino acid residues) is hardly available for antibodies due to<br />

O-glycosylation. We found that, in contrast to human NT-proBNP, all regions <strong>of</strong> cNTproBNP<br />

were accessible for antibodies (excluding regions 1-13 and 50-64 that were<br />

not examined). Among all tested combinations, fifteen two-site MAb combinations<br />

demonstrated <strong>the</strong><br />

highest signal level with canine plasma samples and recombinant cNT-proBNP. Five<br />

combinations were selected for fur<strong>the</strong>r evaluations (CaNT611 13-33<br />

-CaNT19 40-50<br />

,<br />

CaNT90 29-50<br />

-CaNT89 13-26<br />

, CaNT73 13-26<br />

-CaNT46 40-50<br />

, CaNT73 13-26<br />

-CaNT59 64-72<br />

, and CaNT53 64-80<br />

-CaNT930 13-26<br />

). The<br />

detection limit <strong>of</strong> <strong>the</strong>se assays was 0.2 ng/mL or lower that was sufficient for<br />

determination <strong>of</strong> cNT-proBNP concentration in healthy dogs. Assays had a linear<br />

range <strong>of</strong> 0.2-50 ng/mL. Wide linear range enabled to<br />

avoid a dilution step when testing plasma specimens with high cNT-proBNP<br />

concentrations. Kinetic studies revealed that selected MAb combinations could<br />

be used for <strong>the</strong> development <strong>of</strong> rapid (20 minutes) quantitative immunoassays.<br />

Preliminary clinical studies showed that selected assays were able to differentiate<br />

healthy dogs and dogs with cardiac disease.<br />

Conclusion: Several combinations <strong>of</strong> MAbs specific to different epitopes <strong>of</strong> cNTproBNP<br />

were selected and utilized for development <strong>of</strong> rapid and<br />

sensitive immunoassays for measurement <strong>of</strong> cNT-proBNP in plasma samples.<br />

B-07<br />

The effects <strong>of</strong> N-acetylcysteine and ozone <strong>the</strong>rapy on oxidative stress<br />

and inflammation in acetaminophen-induced nephrotoxicity model<br />

F. Ucar 1 , M. Y. Taslıpınar 1 , B. F. Alp 2 , I. Aydın 3 , F. N. Aydın 3 , M. Agıllı 3 ,<br />

M. Toygar 4 , E. Ozkan 5 , E. Macit 6 , M. Oztosun 7 , T. Caycı 3 , A. Ozcan 8 .<br />

1<br />

Diskapi Yildirim Beyazit Training and Research Hospital, Department<br />

<strong>of</strong> Clinical Biochemistry, Ankara, Turkey, 2 Gulhane Military Medical<br />

Academy,Department <strong>of</strong> Urology, Ankara, Turkey, 3 Gulhane Military<br />

Medical Academy, Department <strong>of</strong> Clinical Biochemistry, Ankara, Turkey,<br />

4<br />

Gulhane Military Medical Academy, Department <strong>of</strong> Forensic Medicine,<br />

Ankara, Turkey, 5 Ankara Occupational Diseases Hospital,Department<br />

<strong>of</strong> Clinical Biochemistry, Ankara, Turkey, 6 Gulhane Military Medical<br />

Academy, Department <strong>of</strong> Pharmacology, Ankara, Turkey, 7 Turkish Armed<br />

Forces, Health Services Command, Ankara, Turkey, 8 Gulhane Military<br />

Medical Academy, Department <strong>of</strong> Pathology, Ankara, Turkey<br />

Backgrounds:Acetaminophen (APAP) is an analgesic and antipyretic agent. In<br />

overdoses, it is associated with nephrotoxicity. It is important to improve new<br />

treatment approaches against APAP-induced nephrotoxicity. We examined <strong>the</strong><br />

potential protective effects <strong>of</strong> N-Acetylcysteine (NAC) and NAC+ozone <strong>the</strong>rapy (OT)<br />

combination against APAP-induced nephrotoxicity.<br />

Methods: Thirty-two male Sprague-Dawley rats were divided into four groups;<br />

sham, control (APAP treated only), NAC (APAP+NAC <strong>the</strong>rapy) and NAC+OT<br />

(APAP+NAC+ozone <strong>the</strong>rapy). In <strong>the</strong> APAP, NAC and NAC+OT groups, renal<br />

injury was induced by oral administration <strong>of</strong> 1 g/kg APAP. The NAC group received<br />

NAC (100 mg/kg/day). NAC+OT group received NAC (100 mg/kg/day) and ozone/<br />

oxygen mixture (0.7 mg/kg/day) intraperitoneally for five days immediately after<br />

APAP administration. All animals were killed at 5 days after APAP administration.<br />

Renal tissues and blood samples were obtained for biochemical and histopathological<br />

analyses. Neopterin, tumor necrosis factor-α (TNF-α), interleukin (IL)-6 and IL-<br />

10 levels were measured in sera. Malondialdehyde (MDA) levels and glutathione<br />

peroxidase (GPx) activities were determined in renal homogenates.<br />

Results: NAC and NAC+OT significantly decreased MDA and TNF-α levels,<br />

increased IL-10 levels and GPx activities. Serum neopterin and IL-6 levels were not<br />

different among all groups. APAP administration caused tubular necrosis in <strong>the</strong> renal.<br />

The degrees <strong>of</strong> renal necrosis <strong>of</strong> <strong>the</strong> APAP group were higher than <strong>the</strong> o<strong>the</strong>r groups.<br />

Renal injury in rats treated with combination <strong>of</strong> NAC and OT were found significantly<br />

less than <strong>the</strong> o<strong>the</strong>r groups.<br />

Conclusions: Our results showed that <strong>the</strong> combination <strong>of</strong> NAC and OT prevented<br />

renal injury in rats and reduced inflammation. These findings suggest that combination<br />

<strong>of</strong> NAC and OT might improve renal damages due to both oxidative stress and<br />

inflammation.<br />

B-09<br />

New Sensitive Anti-Müllerian Hormone (AMH) ELISA’s for Non-<br />

Human Primate, Rodent, Equine, Bovine, Canine and O<strong>the</strong>r Species.<br />

A. Kumar, B. Kalra, A. S. Patel, S. Shah. Ansh Labs, Webster, TX,<br />

Objective: Development <strong>of</strong> specific and sensitive ELISA’s to quantify AMH in sera<br />

<strong>of</strong> different species.<br />

Relevance: Anti-Müllerian hormone (AMH) is a 140-kDa dimeric glycoprotein<br />

hormone belonging to <strong>the</strong> transforming growth factor-β (TGF-β) superfamily.<br />

Cleavage at <strong>the</strong> monobasic site generates 110-kDa N-terminal and 25-kDa C-terminal<br />

homodimers, which remain associated in a noncovalent complex. Recent studies have<br />

shown that <strong>the</strong> AMH C-terminal homodimer is much less active than <strong>the</strong> non-covalent<br />

complex, but almost full activity can be restored by associating <strong>the</strong> N-terminal proregion,<br />

which re-forms a complex with <strong>the</strong> mature C-terminal dimer. The finding<br />

suggests that <strong>the</strong> AMH non-covalent complex is <strong>the</strong> active form <strong>of</strong> protein.<br />

Methods: We have developed two-step, sandwich-type enzymatic microplate assays<br />

to measure species specific AMH levels in small samples sizes from 10-50 μL <strong>of</strong><br />

sera in less than 3.5 hours. Equine, bovine, rat, non-human primate assays utilize<br />

species specific AMH calibrators. The monoclonal antibody pairs used in <strong>the</strong> above<br />

AMH assays bind to <strong>the</strong> non-covalent AMH complex and do not detect o<strong>the</strong>r related<br />

members <strong>of</strong> TGF-β superfamily.<br />

Validation: Ansh Labs Rat/Mouse and Equine/Canine AMH ELISAs showed<br />

excellent clinical concordance between ovariectomized versus cycling rats, spayed<br />

and intact female dogs, castrated and intact male dogs, geldings, stallions, mare sera<br />

and granulosa cell tumor (GCT) cyst fluid, respectively. The Rat/Mouse AMH ELISA<br />

also detects Golden and Siberian hamsters. Ultra-sensitive AMH ELISA detected<br />

AMH concentrations in <strong>the</strong> range <strong>of</strong> 0.1-12 ng/mL in Rhesus, Cynomolgus, Vervet,<br />

and Squirrel monkey sera. The enhanced specificity and analytical sensitivity (0.011<br />

ng/mL) <strong>of</strong> <strong>the</strong> Bovine AMH ELISA resulted in greater than 90% detection rate in<br />

various dairy and beef cattle breeds. Imprecision calculated on three pooled sera over<br />

twenty-four replicates was 2.92% at 0.61 ng/mL, 2.54% at 1.26 ng/mL and 3.65% at<br />

2.56 ng/mL. Dilution and spiking studies confirmed accuracy <strong>of</strong> AMH measurement<br />

and showed average recoveries between 90-110% for all assays.<br />

Conclusions: Specific, sensitive and reproducible AMH assays have been developed<br />

for <strong>the</strong> measurement <strong>of</strong> AMH in non-human primate, rodents, equine, bovine, canine<br />

and o<strong>the</strong>r species. The performance <strong>of</strong> <strong>the</strong>se assays is ideal for investigation into <strong>the</strong><br />

physiologic roles <strong>of</strong> AMH in different species.<br />

A172 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Management<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

B-10<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Management<br />

Review <strong>of</strong> ordering practices for procalcitonin from a critical care unit<br />

J. P. Casey, L. J. McCloskey, D. F. Stickle. Jefferson University Hospitals,<br />

Philadelphia, PA<br />

Background: Literature arguably supports a role for monitoring <strong>of</strong> procalcitonin<br />

(PCT) during sepsis to guide timing <strong>of</strong> cessation <strong>of</strong> antibiotics <strong>the</strong>rapy. At our<br />

institution, PCT was brought in-house in February 2012 for this purpose at <strong>the</strong> request<br />

<strong>of</strong> a critical care unit (CCU). Because <strong>of</strong> large costs <strong>of</strong> PCT testing, we reviewed CCU<br />

ordering practices to assess efficiency <strong>of</strong> PCT utilization relative to this intent. In<br />

particular, we examined ordering intervals relative to <strong>the</strong> minimum required to meet<br />

intended cut<strong>of</strong>fs for absolute and relative changes in PCT.<br />

Methods: CCU PCT results (Biomerieux Vidas Brahms assay) for an 8 month<br />

period (Feb-Sep 2012) were retrieved from electronic records. Excel spreadsheet<br />

s<strong>of</strong>tware was used to assess counts, time intervals and differences between serial<br />

measurements. A review <strong>of</strong> literature indicated that <strong>the</strong> least restrictive cut<strong>of</strong>fs used<br />

to begin consideration <strong>of</strong> cessation <strong>of</strong> antibiotic <strong>the</strong>rapy were ei<strong>the</strong>r crossing to


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Management<br />

B-15<br />

Driving Transformation Change in <strong>the</strong> Laboratory: Comparison <strong>of</strong> a<br />

Centralized and Non-centralized Laboratory System at a 1,500- bed<br />

University Hospital in Thailand.<br />

P. Kitpoka, M. Kunakorn, S. Vanavanan, K. Khupusup, S. Wongwaisayawan.<br />

Pathology Department, Faculty <strong>of</strong> Medicine, Ramathibodi Hospital,<br />

Bangkok, Thailand<br />

B-14<br />

Practical Applications <strong>of</strong> Sigma Metrics to Evaluate Assay Quality<br />

J. Litten, J. Householder. Winchester Medical Center, Winchester, VA<br />

Background: When evaluating new instrumentation, <strong>the</strong>re are numerous issues to<br />

consider, i.e., reliability <strong>of</strong> <strong>the</strong> instrument(s), cost, turnaround times, test menu and<br />

vendor support. One important factor that is too <strong>of</strong>ten overlooked is assay quality.<br />

Quality measures such as accuracy and reproducibility impact physician decisions,<br />

which in turn can impact patient outcomes. Assay quality also impacts <strong>the</strong> laboratory.<br />

Bias and imprecision will affect <strong>the</strong> number <strong>of</strong> quality control rules required to<br />

effectively monitor an assay. This translates into time and cost and may also impact<br />

pr<strong>of</strong>iciency testing.<br />

Objective: The goal <strong>of</strong> this study was tw<strong>of</strong>old: 1) to use Sigma Metrics to predict <strong>the</strong><br />

quality <strong>of</strong> clinical chemistry assays from multiple vendors and 2) assess <strong>the</strong> real-world<br />

Sigma performance <strong>of</strong> assays on <strong>the</strong> Abbott ARCHITECT c8000.<br />

Methods: Sigma Metrics were estimated for 30 chemistry tests across six different<br />

vendor instruments using <strong>the</strong> equation: Sigma Metric = (TEa - Bias observed<br />

) / CV observed<br />

.<br />

There are several sources <strong>of</strong> bias and imprecision data that can be used during <strong>the</strong><br />

instrument assessment phase to help predict <strong>the</strong> Sigma performance. These include<br />

pr<strong>of</strong>iciency testing results, information from <strong>the</strong> vendor, literature sources and Quality<br />

Control (QC) programs. In this study, data were obtained from <strong>the</strong> 2009 and 2010<br />

College <strong>of</strong> American Pathologists (CAP) Pr<strong>of</strong>iciency Surveys. Bio-Rad QC data were<br />

also used to help support findings. Clinical Laboratory Improvement Amendments<br />

(CLIA)/CAP performance standards were used for <strong>the</strong> total allowable error. Since<br />

<strong>the</strong> total error may vary across <strong>the</strong> analytical range, <strong>the</strong> total error at <strong>the</strong> medical<br />

decisions level(s) was used to determine <strong>the</strong> Sigma Metric for each assay. One year<br />

after <strong>the</strong> ARCHITECT c8000 had been in operation, <strong>the</strong> laboratory QC data was used<br />

to generate real-world Sigma performance metrics.<br />

Results: Using CAP Pr<strong>of</strong>iciency Survey data to estimate Sigma Metrics, 22 <strong>of</strong> 30<br />

ARCHITECT assays (73%) had quality ratings <strong>of</strong> good to excellent (5 Sigma or better)<br />

compared to 59% for <strong>the</strong> next highest vendor. None <strong>of</strong> <strong>the</strong> 30 assays evaluated on <strong>the</strong><br />

ARCHITECT were <strong>of</strong> unacceptable quality (less than 3 Sigma). All o<strong>the</strong>r vendors<br />

had at least one test in this category with most having 4 to 5 methods that were <strong>of</strong><br />

unacceptable quality. Using laboratory QC data generated on <strong>the</strong> ARCHITECT, 97%<br />

<strong>of</strong> <strong>the</strong> chemistry assays were 5 Sigma or better; 77% were 6 Sigma and 20% were 5<br />

Sigma. None were 4 Sigma and only one, CO2 , was 3 Sigma. There were no tests<br />

that were less than 3 Sigma. Every chemistry assay performed as good as estimated<br />

or better. Twenty-nine <strong>of</strong> <strong>the</strong> 30 assays require only a simple Westgard Rule with two<br />

levels <strong>of</strong> QC samples per run. Only CO2 requires multiple Westgard Rules to be run.<br />

Conclusion: Sigma Metrics can be used to predict <strong>the</strong> quality <strong>of</strong> an instrument’s<br />

assays. Sigma Metric analysis allows for easy comparison <strong>of</strong> instrument quality and<br />

can predict which tests will require minimal QC. The Abbott ARCHITECT chemistry<br />

instrument provides high quality results for over 96% <strong>of</strong> chemistry assays studied.<br />

Objective:To study whe<strong>the</strong>r <strong>the</strong> ACCELERATOR Automatic Processing System<br />

(APS) can improve laboratory operational efficiencies in terms <strong>of</strong> Turn Around Time<br />

(TAT) accomplishment, reduced process steps, less personnel and consumables usage<br />

reduction in a university hospital laboratory.<br />

Relevance: The ACCELERATOR APS is an innovative system that has ability to<br />

consolidate pre-analytic, analytic and post-analytic processes toge<strong>the</strong>r in one platform.<br />

Methodology: One week data <strong>of</strong> TAT achievement percentage and consumables<br />

usage <strong>of</strong> 42 chemistry and immunology tests, as well as <strong>the</strong> waiting time from<br />

phlebotomy room, were obtained from laboratory information system; whereas, <strong>the</strong><br />

working steps, and personnel requirements were obtained by workflow observation.<br />

Data and information from a new laboratory designed using centralization concept<br />

and having <strong>the</strong> ACCELERATOR APS installed were compared with those from <strong>the</strong><br />

old laboratory, in which tests were separated into multiple analytical sections.<br />

Validation: TAT was measured from <strong>the</strong> time patients registered at <strong>the</strong> phlebotomy<br />

room until <strong>the</strong>ir results were released, consumables usage and waiting time from<br />

phlebotomy was analyzed using LIS data. Working steps and personnel requirement<br />

came from workflow observations inside <strong>the</strong> laboratory.<br />

Results:<br />

Old Laboratory New Laboratory (APS<br />

Metrics<br />

% Change<br />

(Non-centralized) implemented)<br />

No. <strong>of</strong> CC/IA tests 46,728 54,993 17.7%<br />

% Achieved TAT goal 90.5% 96% 10.6%<br />

Working steps 30 9 -70.0%<br />

Personnel 12 4 -66.7%<br />

Drawing sample tube usage 6,418 6,313 -1.6%<br />

Barcode usage 6,418 6,313 -1.6%<br />

Aliquot tip usage 5,548 0 -5,548%<br />

Aliquot cup usage 5.548 0 -5,548%<br />

Average waiting time from<br />

phlebotomy room (mins)<br />

15 4 -73.3%<br />

Conclusion: Implementation <strong>of</strong> <strong>the</strong> ACCELERATOR APS was able to make <strong>the</strong><br />

Hospital Laboratory more efficient. By adopting LEAN principles, <strong>the</strong> laboratory<br />

reduced wasteful and unnecessary steps by combining pre-analytical, analytical<br />

and post-analytical processes toge<strong>the</strong>r in one platform. The study showed that even<br />

though <strong>the</strong> new laboratory performed 17.7% more tests than <strong>the</strong> old laboratory, it still<br />

performed better and more efficiently in all <strong>the</strong> key metrics:<br />

• % Achievement <strong>of</strong> TAT goal increased 10.6%<br />

• Working step, personnel, waiting time from phlebotomy room and drawing sample<br />

tube were reduced by 70%, 66.7%, 73.3% and 1.6% respectively<br />

• Fur<strong>the</strong>rmore, aliquot tip and cup are not required due to <strong>the</strong> nature <strong>of</strong> <strong>the</strong> consolidated<br />

platform which has a huge impact in terms <strong>of</strong> cost saving for laboratory.<br />

B-16<br />

Prevalence <strong>of</strong> Folic Acid Deficiency in Hospital-Population after<br />

National Mandatory Folic Acid Fortification Program in Canada<br />

K. Sohn, T. Feltis. Trillium Health Partners, Mississauga, ON, Canada<br />

Objective: Folate deficiency causes macrocytosis and in pregnant woman fetal neural<br />

tube defects. Red blood cell (RBC) folate is better indicator <strong>of</strong> tissue folate storage<br />

than serum folate, which is variable depending on recent ingestion. After <strong>the</strong> national<br />

mandatory folate fortification (FF) in Canada in November, 1998, folate levels below<br />

<strong>the</strong> lower reference limit (LRL) became very rare. In order to evaluate <strong>the</strong> utility <strong>of</strong><br />

routine RBC and serum folate measurements, <strong>the</strong> prevalence <strong>of</strong> folate deficiency in a<br />

hospital-population was compared before and after <strong>the</strong> national folic acidfortification<br />

program.<br />

Methods: A retrospective cross-sectional observational study was done using<br />

<strong>the</strong> database <strong>of</strong> <strong>the</strong> Credit Valley Hospital (CVH) site <strong>of</strong> Trillium Health Partners,<br />

Mississauga, Ontario, Canada. RBC and serum folate results were collected from<br />

<strong>the</strong> laboratory information system for <strong>the</strong> period between 1994 and 2012. Folate was<br />

measured using Quantaphase® B12/Folate Radioassay kit (Bio-Rad Laboratories,<br />

Hercules, CA) during 1994 through 2002 and Vitros ECi ® Folate assay kit (Ortho-<br />

A174 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Management<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Clinical Diagnostics, Rochester, NY) during 2003 through 2012. Lower reference<br />

limits (LRL),275 nmol/L(Quantaphase® assay)and 320 nmol/L(Vitros ECi ® assay)<br />

for RBC folate and 5 nmol/L (both assays) for serum folate, were used as <strong>the</strong> cut<strong>of</strong>f<br />

for deficiency. Prevalences <strong>of</strong> folate deficiency werecompared for <strong>the</strong> period<br />

before (1994–1998) and after (1999-2012) FF. Data were analyzed using Med-Calc®<br />

S<strong>of</strong>tware (Mariakerke, Belgium).<br />

Results: The prevalences <strong>of</strong> folate deficiency in female for both RBC (6.33%, 95%<br />

CI, 4.39, 8.27) and serum (4.85%, 95% CI, 2.74, 6.97) before <strong>the</strong> FF were significantly<br />

(P < 0.0001) decreased after FF to 0.31% (95% CI, 0.22, 0.39) for RBC and 0.38%<br />

(95% CI, 0.26, 0.50) for serum; in male for both RBC (3.63%, 95% CI,2.28, 4.97)<br />

and serum (6.85%, 95% CI, 3.74, 9.42) before <strong>the</strong> FF were significantly (P < 0.0001)<br />

decreased after FF to 0.36% (95% CI, 0.23, 0.50) for RBC and 0.38% (95% CI, 0.26,<br />

0.50) for serum. There was no difference in prevalence between female and male for<br />

all comparison. Overall, <strong>the</strong> prevalence <strong>of</strong> RBC folate deficiency was significantly<br />

decreased (P < 0.0001) from 4.84% [95% confidence interval (CI), 3.70, 5.99] before<br />

<strong>the</strong> FF to 0.28% (95% CI, 0.23, 0.34) after <strong>the</strong> FF. The prevalence <strong>of</strong> serum folate<br />

deficiency was also significantly decreased (P < 0.0001) from 5.58% (95% CI, 3.87,<br />

7.30) to 0.37% (95% CI, 0.28, 0.46).<br />

Conclusions: Considering <strong>the</strong> very low prevalence <strong>of</strong> folate deficiency, routine<br />

testing <strong>of</strong> folate is not warranted except for severe malnutrition, malabsorption and<br />

o<strong>the</strong>rwise unexplained macrocytosis. Prior to ordering, <strong>the</strong> indications for ordering<br />

this test should be thoroughly assessed in order to increase pre-test probability and<br />

reduce unnecessary testing.<br />

B-17<br />

Tighter biological variation precision target required for lactate testing<br />

in patients with lactic acidosis<br />

G. S. Cembrowski 1 , A. Kunst 1 , M. Rimkus 1 , D. Chin 1 , S. Redel 1 , D. Tran 2 .<br />

1<br />

University <strong>of</strong> Alberta Hospital, Edmonton, AB, Canada, 2 University <strong>of</strong><br />

Calgary, Calgary, AB, Canada<br />

Background: Allowable analytical errors are generally based on biologic variation in<br />

normal, healthy subjects. Some analytes like blood lactate have low concentrations in<br />

healthy individuals and <strong>the</strong> resultant allowable variation is large when expressed as a<br />

coefficient <strong>of</strong> variation (CV). In Ricos’ compendium <strong>of</strong> biologic variation, <strong>the</strong> relative<br />

within individual lactate variation (s b<br />

) averages 27% and with <strong>the</strong> desirable lactate<br />

imprecision becomes 13.5%. We have used a unique methodology to derive biologic<br />

variability (s b<br />

) from consecutive patient data and demonstrate that s b<br />

<strong>of</strong> lactate is<br />

significantly lower.<br />

Methods: A data repository provided all <strong>of</strong> <strong>the</strong> lactate results measured over a 1.5 year<br />

period in <strong>the</strong> General Systems Intensive Care Unit in University <strong>of</strong> Alberta Hospital in<br />

Edmonton. These measurements were made on ei<strong>the</strong>r <strong>of</strong> two point <strong>of</strong> care Radiometer<br />

800 blood gas systems operated by Respiratory Therapy. A total <strong>of</strong> 54,000 lactates<br />

were measured. We tabulated <strong>the</strong> pairs <strong>of</strong> intra-patient lactates that were separated by<br />

0- 1, 1 to 2, 2 to 3, . . . up to 16 hr. The standard deviations <strong>of</strong> duplicates (SDD) <strong>of</strong><br />

<strong>the</strong> paired lactates were calculated for each time interval. The graphs <strong>of</strong> SDD vs. time<br />

interval were approximately linear; <strong>the</strong> y intercept provided by <strong>the</strong> linear regression<br />

equation represents <strong>the</strong> sum <strong>of</strong> <strong>the</strong> biologic variation, s b<br />

and short term analytic<br />

2<br />

variation (s a<br />

): y 0<br />

=( s a<br />

+s b2<br />

) 1/2 . The short term analytic variation (s a<br />

) was determined<br />

from <strong>the</strong> short term imprecisions provided by Radiometer and confirmed with onsite<br />

control analysis. The derivation <strong>of</strong> biologic variation was performed for multiple<br />

patient ranges <strong>of</strong> lactate.<br />

Results: The Table summarizes <strong>the</strong> biologic variations for lactate for various patient<br />

lactate ranges.<br />

Conclusion: The relative desirable lactate imprecision for patients with lactic<br />

acidosis is about half <strong>of</strong> that <strong>of</strong> normal individuals. As such, evaluations <strong>of</strong> lactate<br />

measurements must incorporate lower allowable error.<br />

Range,<br />

Mean<br />

Patient lactates Lactate s a<br />

y 0<br />

s b<br />

s b<br />

(%)<br />

0 to 4 mmol/L 1.43 0.04 0.28 0.28 19.66<br />

0 to 10 mmol/L 1.67 0.05 0.39 0.39 23.28<br />

0 to 15 mmol/L 1.82 0.05 0.41 0.41 22.45<br />

4 to 10 mmol/L 6.01 0.15 0.64 0.62 10.39<br />

4 to 15 mmol/L 7.31 0.22 0.75 0.72 9.84<br />

B-18<br />

Establishing a Clinical Laboratory Quality Assurance System in<br />

Bhutan<br />

R. -. Jamtsho. Jigme Dorji Wangchuk National Referral Hopital, Thimphu,<br />

Bhutan<br />

Introduction: Quality Assurance (QA) plays a vital role in ensuring reliable results<br />

for patients. However, QA systems are not well established or effective in many<br />

developing countries due to various reasons [1]. A prior review <strong>of</strong> <strong>the</strong> laboratory<br />

system in Bhutan reported that <strong>the</strong>se included <strong>the</strong> high cost <strong>of</strong> commercial quality<br />

control (QC) material; poor Internal Quality Control (IQC) system; shortage <strong>of</strong><br />

laboratory expertise; erratic supply <strong>of</strong> reagents; and poor maintenance <strong>of</strong> laboratory<br />

equipments [2-4]. In order to address <strong>the</strong> problems <strong>of</strong> poor quality in <strong>the</strong> laboratories,<br />

<strong>the</strong> Ministry <strong>of</strong> Health in Bhutan collaborated with Pathologist Overseas, a non-pr<strong>of</strong>it<br />

USA based organization, established a QA pilot program in Bhutan.<br />

Methods: Thirteen laboratories were selected for <strong>the</strong> pilot study. The QA team<br />

conducted extensive training on basic QA for <strong>the</strong> laboratory staff and initiated SOP<br />

development. The training was both on <strong>the</strong> bench and in didactic sessions. The QA<br />

team also distributed frozen IQC material provided by Pathologists Overseas. Similar<br />

brands <strong>of</strong> reagents and IQC material were used for testing in most laboratories, and<br />

standardization <strong>of</strong> equipments was also implemented. The impact <strong>of</strong> this training and<br />

implementation <strong>of</strong> <strong>the</strong> QA activities were monitored using EQA and IQC performance<br />

criteria as well as a 10-category Quality survey. The EQA and IQC results were<br />

monitored remotely with active feedback including monthly reports, phone calls, and<br />

visits by members <strong>of</strong> <strong>the</strong> QA team. Two rounds <strong>of</strong> survey were conducted on quality<br />

<strong>of</strong> laboratory services at <strong>the</strong> regional and district laboratories. The survey involve<br />

collecting data containing <strong>the</strong> mean, CV and <strong>the</strong> control range used during <strong>the</strong> last<br />

three months prior to <strong>the</strong> date <strong>of</strong> survey, so <strong>the</strong> two rounds represent 6 months <strong>of</strong><br />

quality measurements.<br />

Results: Overall laboratory performance and quality assurance system showed<br />

improvement in <strong>the</strong> second round <strong>of</strong> survey. In <strong>the</strong> first survey, <strong>the</strong> maximum score<br />

was 47% and minimum was 23%. The second survey showed dramatic improvement<br />

with maximum sore <strong>of</strong> 91% and minimum <strong>of</strong> 36%. The performance on IQC showed<br />

remarkable improvement following <strong>the</strong> establishment <strong>of</strong> IQC system. Unacceptable<br />

results in <strong>the</strong> first survey ranged from 12% to 46% and in from 0% to 32% in <strong>the</strong><br />

second round. The percentage results in peer range in <strong>the</strong> beginning <strong>of</strong> RCPA cycle<br />

ranged from 22% to 62% improved to 56% to 96% towards <strong>the</strong> last cycle.<br />

Discussion: The QA team with support from <strong>the</strong> Ministry <strong>of</strong> Health and Pathologist<br />

Overseas, made considerable progress in improving <strong>the</strong> quality <strong>of</strong> laboratory services<br />

in Bhutan. However, four laboratories out <strong>of</strong> 13 could not be improved probably due<br />

to poor equipment functioning and pipetting technique. We conclude that extending<br />

<strong>the</strong> system <strong>of</strong> streng<strong>the</strong>ned IQC, EQA and instrument standardization; can fur<strong>the</strong>r<br />

improve <strong>the</strong> quality <strong>of</strong> results generated by district laboratories in Bhutan.<br />

B-19<br />

QC Rules for Low Sigma Clinical Diagnostic Processes<br />

C. A. Parvin, L. S. Kuchipudi, J. C. Yundt-Pacheco. Bio-Rad Laboratories,<br />

Hercules, CA<br />

Objective: Traditional QC rules have poor error detection ability for low sigma<br />

processes even with a large number <strong>of</strong> QCs. We sought more powerful QC rules for<br />

low sigma processes.<br />

Relevance: QC rules with improved power characteristics for low sigma processes<br />

can reduce <strong>the</strong> risk <strong>of</strong> unreliable patient results.<br />

Methods: Recommended QC multi-rules for low sigma processes were compared to a<br />

new family <strong>of</strong> QC rules based on a Z 2 statistic. A Z 2 QC rule with N 1<br />

QCs and rejection<br />

limit L 1<br />

computes Z = (X - T)/SD for each QC result, where X = QC result, T = QC<br />

target value, and SD = QC standard deviation. The Z 2 rule sums <strong>the</strong> N 1<br />

Z 2 values and<br />

rejects if <strong>the</strong> sum exceeds L 1<br />

. A single repeat sample Z 2 rule first tests N 1<br />

QCs. If <strong>the</strong><br />

sum <strong>of</strong> <strong>the</strong> N 1<br />

Z 2 values is


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Management<br />

Results: Let Sigma = 3 and SE c<br />

= 3 - 1.65 = 1.35.<br />

Power <strong>of</strong> QC Rules for a 3.0 Sigma Process<br />

QC Rule N 1<br />

L 1<br />

N 2<br />

L 2<br />

N Q<br />

P fr<br />

P ed<br />

(SE c<br />

)<br />

1 3s<br />

/2 2s<br />

/R 4s<br />

/4 1s<br />

4 - - - 4 0.03 0.36<br />

1 3s<br />

/2<strong>of</strong>3 2s<br />

/R 4s<br />

/3 1s<br />

6 - - - 6 0.08 0.63<br />

Z 2 (L 1<br />

) 4 9.49 - - 4 0.05 0.56<br />

Z 2 (L 1<br />

) 6 12.59 - - 6 0.05 0.69<br />

RZ 2 (L 1<br />

,L 2<br />

) 2 3.60 2 8.46 2.30 0.05 0.50<br />

RZ 2 (L 1<br />

,L 2<br />

) 2 2.80 4 11.32 2.97 0.05 0.60<br />

RZ 2 (L 1<br />

,L 2<br />

) 2 1.96 6 14.39 4.25 0.05 0.70<br />

RZ 2 (L 1<br />

,L 2<br />

) 4 4.89 6 17.36 5.78 0.05 0.80<br />

Conclusions: A single sample Z 2 rule is more powerful than <strong>the</strong> multi-rules, but still<br />

has


Management<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results: Seven weeks <strong>of</strong> data was used to determine baseline performance <strong>of</strong> <strong>the</strong><br />

existing ISP process (N=272 samples), and indicated that only 25% <strong>of</strong> samples<br />

met <strong>the</strong> new TAT goal <strong>of</strong> 2 pm. Implementation <strong>of</strong> changes resulted in an increased<br />

number <strong>of</strong> samples meeting <strong>the</strong> TAT goal (N=235 samples; 80% reported by 2:00<br />

pm over 8 weeks). Initially, <strong>the</strong> majority <strong>of</strong> delays were attributable to suboptimal<br />

analysis schedules (50%) and samples collected too late in <strong>the</strong> day (30%). After<br />

implementation <strong>of</strong> changes, special causes associated with TAT delays were<br />

dominated by late collections (50%) and delays in getting specimens to <strong>the</strong> lab (28%).<br />

Conclusions: Adjusting ISP collection and analysis processes improved <strong>the</strong><br />

laboratory’s ability to meet physician-requested TAT <strong>of</strong> 2:00 pm each day. Process<br />

improvement efforts required involvement from two laboratory sites, transportation<br />

services, phlebotomy, pharmacy and nursing staff. To fur<strong>the</strong>r improve TAT, efforts<br />

should focus on collection and transit time, which likely requires phlebotomist and<br />

nurse education.<br />

B-26<br />

Improving patient care through test-utilization strategies for NT-<br />

ProBNP ordering practices in <strong>the</strong> inpatient setting<br />

E. Kaleta 1 , K. Scheele 2 , J. Patel 2 , A. Roy Hughes 2 , L. Pearson 2 , J.<br />

Hernandez 2 , C. Snozek 2 . 1 Mayo Clinic, Rochester, MN, 2 Mayo Clinic,<br />

Scottsdale, AZ<br />

Background: In <strong>the</strong> environment <strong>of</strong> changing cost structure and a trend toward more<br />

conservative ordering strategies, particularly for Medicare patients with reimbursement<br />

based on capitation, test-utilization is gaining greater focus. This study concentrated<br />

on test-utilization and ordering practices <strong>of</strong> NT-ProBNP as a marker for congestive<br />

heart failure (CHF). Studies on <strong>the</strong> clinical utility <strong>of</strong> NT-ProBNP demonstrate that<br />

a single measurement is appropriate for identifying and staging patients with CHF,<br />

but significant intra-individual variation limits <strong>the</strong> utility <strong>of</strong> serial measurements<br />

for monitoring trending <strong>of</strong> CHF. Literature reveals that a reference change value <strong>of</strong><br />

>27% for day-to-day variability is required for a significant decrease in NT-ProBNP<br />

concentration to show clinical improvement, and a >54%, for an increase to show<br />

clinical progression <strong>of</strong> CHF. This study assessed inpatient ordering practices <strong>of</strong> our<br />

institution to determine <strong>the</strong> frequency and appropriateness <strong>of</strong> NT-ProBNP orders; <strong>the</strong><br />

results were used to guide clinical services toward appropriate test-utilization with<br />

evidence-based medicine.<br />

Objective: To assess <strong>the</strong> ordering practices <strong>of</strong> NT-ProBNP and guide test-utilization<br />

within <strong>the</strong> inpatient setting.<br />

Methods: Orders for NT-ProBNP and BNP at Mayo Clinic in Arizona (MCA)<br />

were extracted from <strong>the</strong> electronic medical record and entered into a test-utilization<br />

database. This database included all inpatient orders from 2011 and included area<br />

<strong>of</strong> admission, reason for hospital stay, length <strong>of</strong> stay, ordering physician, laboratory<br />

results and ordering date. This database was queried to determine <strong>the</strong> frequency <strong>of</strong><br />

NT-ProBNP/BNP orders per hospital stay for each patient, stratified by admission<br />

department and ordering physician to provide a report card <strong>of</strong> ordering habits to each<br />

hospital area. Ordering date was used to determine if <strong>the</strong> NT-ProBNP/BNP order<br />

was placed on a recurring (e.g., daily) basis. Of those patients for whom multiple<br />

NT-ProBNP/BNP tests were performed, an evaluation was done to assess whe<strong>the</strong>r a<br />

statistically significant change in result was found, using literature values <strong>of</strong> >27%<br />

decrease or > 54% increase to indicate “appropriate” utilization.<br />

Results: In 2011, 2630 NT-ProBNP/BNP tests were performed, <strong>the</strong> majority <strong>of</strong><br />

which were ordered by <strong>the</strong> Emergency Department (30.2%) and Hospital Internal<br />

Medicine (29.6%); <strong>the</strong> remaining 40% were divided amongst all o<strong>the</strong>r hospital areas.<br />

As anticipated, <strong>the</strong> reasons for ordering were predominantly dyspnea, CHF and<br />

pneumonia, followed by o<strong>the</strong>r pulmonary and cardiac concerns. Of <strong>the</strong> 644 tests that<br />

were placed on recurrent order sets, only 37.6% had clinically significant changes. Of<br />

<strong>the</strong> 1617 tests ordered on <strong>the</strong> same patient more than once per hospital stay, including<br />

those on recurrent order sets, 48.3% had clinically significant changes. Any test that<br />

did not have a significant change, for this study, was deemed an “unnecessary” test,<br />

and using <strong>the</strong> list price <strong>of</strong> $163.00 for NT-ProBNP, resulted in $95,355.00 in overordered<br />

tests.<br />

Conclusion: Over-utilization <strong>of</strong> NT-ProBNP/BNP was recognized in <strong>the</strong> practice at<br />

MCA, likely resulting in loss <strong>of</strong> revenue due to lack <strong>of</strong> DRG reimbursement in <strong>the</strong><br />

inpatient setting. This study evaluated <strong>the</strong> extent <strong>of</strong> this over-utilization, and provided<br />

evidence-based data to practicing physicians in high-use clinical areas to modify<br />

ordering strategies. This study serves as <strong>the</strong> model for future test-utilization studies<br />

within MCA.<br />

B-29<br />

Strategies to improve Clinical Laboratory outcomes: Ten year<br />

experience through Balanced Scorecard Management System.<br />

M. Salinas 1 , M. Lopez Garrigos 1 , M. Gutierrez 1 , J. Lugo 1 , R. Lillo 1 , A.<br />

Santo-Quiles 1 , C. Leiva-Salinas 2 . 1 Hospital Universitario San Juan, San<br />

Juan, Spain, 2 Hospital Universitario y Politécnico La Fe, Valencia, Spain<br />

Background: Balanced scorecard (BSC) is a management system conceived to<br />

give managers and executives <strong>of</strong> private business a more ‘balanced’ view <strong>of</strong> <strong>the</strong><br />

organizational performance. The aim <strong>of</strong> <strong>the</strong> study was to show how designing<br />

strategies through <strong>the</strong> BSC use, might improve <strong>the</strong> performance <strong>of</strong> clinical laboratory.<br />

Methods: We established key performance indicators (KPIs) regarding each <strong>of</strong> <strong>the</strong> 3<br />

BSC perspectives objectives: customer, internal business processes, and learning and<br />

growth <strong>of</strong> <strong>the</strong> members <strong>of</strong> <strong>the</strong> organization. Those were, respectively, <strong>the</strong> turn-around<br />

time (TAT) improvement for certain laboratory tests analysed in our personalized unit<br />

(PU), <strong>the</strong> maintenance or improvement <strong>of</strong> PU individualized attention and <strong>the</strong> number<br />

<strong>of</strong> work groups meetings and visits to <strong>the</strong> laboratory intranet. To check individualized<br />

attention in <strong>the</strong> PU, we measured <strong>the</strong> laboratory test modifications: tests added to<br />

<strong>the</strong> physician’s request, requested tests that were cancelled, or replaced by a more<br />

appropriate one. We set target objectives for each KPI and monitored those over ten<br />

years to check <strong>the</strong> strategies success.<br />

Results: The TAT KPIs improved dramatically after strategies implantation. The<br />

number <strong>of</strong> tests that were individualized in PU was maintained over time until primary<br />

care electronic order establishment in 2010. The number <strong>of</strong> work groups meetings to<br />

discuss about <strong>the</strong> laboratory organization and <strong>the</strong> number <strong>of</strong> visits to <strong>the</strong> laboratory<br />

intranet increased significantly over <strong>the</strong> years (Figure). What still remains problematic<br />

was to measure <strong>the</strong> financial consequences, <strong>the</strong> fourth BSC perspective. Hospital stay<br />

has shortened over time. It would be interesting to ascertain if a shorter laboratory<br />

TAT had a real contribution in a shorter hospital stay.<br />

Conclusions: Laboratory performance can be enhanced, through a KPI strategy<br />

using BSC as a management system. It keeps <strong>the</strong> organization’s members focused<br />

on strategy, aligned towards <strong>the</strong> same goal through <strong>the</strong> integration <strong>of</strong> <strong>the</strong> strategic<br />

process in <strong>the</strong> operation.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A177


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Management<br />

B-30<br />

Continuous Improvements Decrease Cardiac Troponin Turnaround<br />

Time (TAT) to Meet Cardiac Critical Care Standards<br />

L. Roquero, W. Kelly, J. Carey, J. Zajechowski, E. Herberholz, V. I. Luzzi,<br />

C. Feldkamp. Henry Ford Hospital, Detroit, MI<br />

Background and Aim: To meet 2000 American College <strong>of</strong> Cardiology/American<br />

Hospital Association Guidelines for <strong>the</strong> management <strong>of</strong> patients in <strong>the</strong> Emergency<br />

Department (ED), our Core/STAT Laboratory continued practicing Lean techniques<br />

to achieve <strong>the</strong> new clinical target for Troponin I (TnI) TAT (reporting 90% <strong>of</strong> negative<br />

TnI results within 30 minutes <strong>of</strong> receipt in <strong>the</strong> laboratory). Prior pre-analytical and<br />

analytical improvements did not meet <strong>the</strong> new goal. We applied new technology for<br />

more effective communication and to maintain focus on <strong>the</strong>se critical samples.<br />

Methods: Micros<strong>of</strong>t Access-based electronic pending log (ePending log) was used<br />

to track sample receipt-to-testing-to-report within <strong>the</strong> laboratory. A color monitor<br />

displays specimen status in three different colors: gray = samples in lab, yellow =<br />

TAT nearing target, and red = TAT exceeded. We compared within-lab TnI TAT (5<br />

representative days) before and after implementation <strong>of</strong> ePending log. The target is<br />

to report >90% <strong>of</strong> negative ( 6,5<br />

LMA M3<br />

mmol/dL<br />

myelogram<br />

Sodium<br />

< 120 or > Prothrombin time<br />

> 5,0<br />

160 mmol/dL RNI<br />

Partial<br />

thromboplastin R > 4,0<br />

time<br />

Fibrinogen < 100 mg/dL<br />

Blasts<br />

First sample<br />

Result: Our laboratory performed a total <strong>of</strong> 61.071.219 tests from August to January<br />

, and 6.253 represented panic value results. The area <strong>of</strong> biochemistry was largely<br />

responsible for <strong>the</strong>se results, with 54.92% (3,434), followed by hematology, with<br />

44,09% <strong>of</strong> <strong>the</strong> total (2,756), and microbiology 0.99% (62). Regarding hematology<br />

testing, neutrophil counts were <strong>the</strong> most frequent panic value detected (46%,<br />

n=1,265), followed by INR measurements (31%, n=855) and platelet count (12%,<br />

n=335). As for biochemistry testing, potassium (38%, n=1310) was <strong>the</strong> most frequent<br />

one, followed by glucose (26,5%, n=912) and total calcium score (12,5%, n=427).<br />

Conclusion : We can conclude that only 0.010% <strong>of</strong> our outpatient examinations<br />

generate panic values , hematology was largely responsible for <strong>the</strong> numbers and<br />

costs related to urgently inform patients and physicians <strong>of</strong> <strong>the</strong> results, primarily<br />

regarding examining neutrophil counts. Therefore, reviewing <strong>the</strong>se data enables us<br />

to better manage samples, optimizing <strong>the</strong> process with <strong>the</strong> doctors and consequently<br />

diminishing costs and waste in health systems.<br />

B-34<br />

Laboratory-initiated follow up <strong>of</strong> TSH values that are markedly<br />

elevated and where serial levels do not indicate appropriate response.<br />

I. A. Hashim 1 , S. Hirany 2 , J. Ulloor 1 , S. S. Hathiramani 1 , M. J. McPhaul 1 .<br />

1<br />

University <strong>of</strong> Texas Southwestern Medical Center, Dallas, TX, 2 Parkland<br />

Memorial Hospital, Dallas, TX<br />

B-33<br />

Panic/critical values: Experiences from a large laboratory<br />

A. L. de Aquino Daher, O. Fernandes, M. Tonetti, M. A. P. Junior, E. G.<br />

Labes. DASA, Sao Paulo, Brazil<br />

Introduction: Panic/critical values are <strong>of</strong> paramount importance at <strong>the</strong> laboratory<br />

routine because <strong>the</strong>y represent a high risk to <strong>the</strong> patient, and must be treated as high<br />

priority accordingly. Workers are trained for a faster response to <strong>the</strong>se events in order<br />

to provide accurate and immediate treatment whenever necessary.<br />

Objective: This study aims to present our panic/critic values statistics, showing <strong>the</strong>ir<br />

distribution throughout <strong>the</strong> different departments <strong>of</strong> <strong>the</strong> laboratory, and specific tests.<br />

Method: A retrospective analysis to review <strong>the</strong> values considered to be <strong>of</strong> critic/<br />

panic in our Laboratory information system from August 2012 to January <strong>2013</strong>,<br />

dividing <strong>the</strong>m into three main areas <strong>of</strong> <strong>the</strong> laboratory: hematology, biochemistry, and<br />

microbiology. O<strong>the</strong>r areas that do not present critical/panic values were not included<br />

here. The following table depicts <strong>the</strong> panic/critical values we took as reference in our<br />

laboratory, according to <strong>the</strong> areas mentioned above.<br />

Introduction: Availability as well as analytical performance <strong>of</strong> Thyroid Stimulating<br />

Hormone (TSH) assays is acceptable and meets expectation in most cases with <strong>the</strong><br />

exception <strong>of</strong> some analytical interference. However, <strong>the</strong> role <strong>of</strong> <strong>the</strong> clinical laboratory<br />

is likely to expand beyond reporting results on <strong>the</strong> specimen received. Here we report<br />

our experience and outcome <strong>of</strong> a periodic notification and follow up <strong>of</strong> TSH values<br />

that remain elevated or continue to increase.<br />

Methodology: A report <strong>of</strong> TSH values greater than 40 mIU/L and associated patients<br />

medical numbers is generated every two months. The report is sent to <strong>the</strong> respective<br />

physician for review and clinical follow up. Twelve months <strong>of</strong> data were used for <strong>the</strong><br />

purpose <strong>of</strong> this study.<br />

Results: A total <strong>of</strong> 769 TSH values above 40 mIU/L belonging to 389 patients over a<br />

12 months period were obtained. TSH values greater than 40 mIU/L represented 1.0%<br />

<strong>of</strong> all TSH samples analysed by our laboratory during <strong>the</strong> study period.<br />

TSH values above <strong>the</strong> selected threshold <strong>of</strong> 40 mIU/L were as high as 957 mIU/L<br />

with a median <strong>of</strong> 75 mIU/L. Only 41.1% <strong>of</strong> patients (n=160) had subsequent TSH<br />

measurements. Review <strong>of</strong> clinical charts indicated that replacement <strong>the</strong>rapy had<br />

been prescribed to most. Of <strong>the</strong> patients with repeat TSH measurements, 64.4% had<br />

subsequent decline in TSH values over time suggesting <strong>the</strong>rapeutic compliance and<br />

appropriate follow up with a mean percentage TSH decline <strong>of</strong> 36%. Few patients<br />

(n=5) representing 3.1 % <strong>of</strong> those with subsequent TSH samples showed no change in<br />

TSH value during <strong>the</strong> study period, whereas <strong>the</strong> remaining 32.5 % <strong>of</strong> patients (n=52)<br />

showed unabated increase in TSH values.<br />

Conclusion: The role <strong>of</strong> <strong>the</strong> laboratory is likely to extend beyond that <strong>of</strong> ensuring a<br />

timely and accurate reporting <strong>of</strong> a test result. In this report we describe an example<br />

<strong>of</strong> laboratory-initiated follow up <strong>of</strong> reported TSH results and active participation in<br />

continued patient care. Elevated TSH values that ei<strong>the</strong>r did not decline to normal<br />

limits, remained elevated or continued to increase triggered follow up communication<br />

with appropriate physicians and may represent a noncompliant, high risk population.<br />

A178 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Management<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

B-35<br />

Evaluation <strong>of</strong> Temperature Stability during Specimen Transport<br />

M. J. Shashack, J. R. Petersen, A. O. Okorodudu. University <strong>of</strong> Texas<br />

Medical Branch, Galveston, TX<br />

Background: Core testing laboratories are commonly utilized as a primary testing<br />

center for numerous satellite clinics. Proper specimen temperature must be maintained<br />

when transporting samples from satellite clinics. Pre-analytical variables including<br />

specimen transport have been reported to account for approximately 70% <strong>of</strong> diagnostic<br />

laboratory errors. The objective <strong>of</strong> <strong>the</strong> study is to evaluate transportation temperature<br />

as a variable in <strong>the</strong> pre-analytical phase <strong>of</strong> diagnostic service.<br />

Methods: The core testing facility in this study serves 80+ clinics where specimens<br />

are collected for transport via a net work <strong>of</strong> six courier routes. Each courier carries<br />

a minimum <strong>of</strong> one Igloo cooler for each temperature range [room temperature (17-<br />

28°C), refrigerated (2-8°C), and frozen (


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Management<br />

cost in 24,%, increase in FTE productivity in 7%, TAT < 24h in 94,5% <strong>of</strong> <strong>the</strong> tests,<br />

conformity with <strong>the</strong> service level agreement in 99,1% and a repetition index <strong>of</strong> 1,6%.<br />

Conclusion: The rollout <strong>of</strong> <strong>the</strong> DASA corporate LIS brought to <strong>the</strong> Mato Grosso<br />

Laboratory significant improvements across <strong>the</strong> whole chain <strong>of</strong> processes, showing us<br />

<strong>the</strong> importance <strong>of</strong> having a robust and<br />

integrated LIS even in a regional lab that can be classified as a small one. The data<br />

showed some dramatic improvements in productivity, efficiency, traceability, speed,<br />

integration and patient safety, allowing <strong>the</strong> management team to better measure and<br />

control <strong>the</strong> overall operational performance.<br />

B-39<br />

Infection control s<strong>of</strong>tware HEPIC integrated to <strong>the</strong> Microbiology<br />

Laboratory for identification <strong>of</strong> colonyzed or infected patients with<br />

multiresistant microorganisms admitted to a Hospital<br />

A. L. Destra, A. Sola, R. Tranchesi, L. B. Faro, L. Almeida, A. C. C.<br />

Pignatari, O. V. P. Denardin. DASA, SÃO PAULO, Brazil<br />

Background: Nosocomial infections are responsible for high patient morbidity<br />

and mortality, with eleveted hospitalization costs, particularly for those infected by<br />

antimicrobial multiresistant microorganisms. Effective infection control measures<br />

include early identification <strong>of</strong> colonized or infected patients with <strong>the</strong>se bacteria<br />

admitted to a hospital, particularly for patients readmitted after hospitalizations, that<br />

could be carriers <strong>of</strong> microorganisms acquired in previous hospitalization.<br />

Methods: All readmitted patients with previous antimicrobial multiresistant bacteria<br />

isolated from surveillance or clinical samples were identified at presentation to<br />

a large general hospital at Sao Paulo, Brazil, by an integrated computer network<br />

including <strong>the</strong> laboratory information system, <strong>the</strong> Hospital management system<br />

and <strong>the</strong> epidemiological surveillance and infection control s<strong>of</strong>tware HEPIC . The<br />

Hospital`s nosocomial infection control service guideline defined <strong>the</strong> most important<br />

antimicrobial multiresistant microrganisms for precaution and isolation <strong>of</strong> patients as<br />

follows: Acinetobacter baumannii resistant to carbapenems (MRAb), Pseudomonas<br />

aeruginosa resistant to carbapenems (MRPa), Klebsiella pneumonia resistant to<br />

carbapenems (KPC), Enterococci resistant to vancomycin (VRE).<br />

Results: From January to December 2012, 144 admission alerts (at <strong>the</strong> from <strong>the</strong><br />

admission <strong>of</strong>) <strong>of</strong> 79 patients previously admitted to <strong>the</strong> hospital were provided to<br />

<strong>the</strong> respective wards and <strong>the</strong> infection control team. Patients were readmitted to<br />

<strong>the</strong> hospital more than once during <strong>the</strong> year and could be carrier <strong>of</strong> more than one<br />

multiresitant bacteria. The following microorganisms were include in <strong>the</strong>se alerts, 59<br />

for MRPa, 52 for KPC, 50 for MRAb, 21 for VRE, and 4 for Enterobacter spp resistant<br />

to carbapenems. These alerts allowed <strong>the</strong> health assistance team to implement <strong>the</strong><br />

recommended infection control measures including precaution and isolation<br />

immediately after <strong>the</strong> readmission <strong>of</strong> <strong>the</strong> patient.<br />

Conclusion: The HEPIC s<strong>of</strong>tware integrates <strong>the</strong> microbiology laboratory, <strong>the</strong> infection<br />

control data bank and <strong>the</strong> administrative admission hospital system, allowing an early<br />

identification <strong>of</strong> previously colonized or infected by multiresistant bacteria patients,<br />

and contributes for an effective nosocomial infection control program.<br />

B-40<br />

Use <strong>of</strong> Quality Metrics for Assessment and Prevention <strong>of</strong> Chemistry<br />

Laboratory Errors<br />

B. Chung, L. Filson, C. Brana-Mulero, A. Patel, G. Salas, M. Jin. University<br />

<strong>of</strong> Illinois Hospital and Health Sciences System, Chicago, IL<br />

Background: Patient safety initiatives have focused on reducing preventable medical<br />

errors, especially those resulting in longer hospital length <strong>of</strong> stay or additional<br />

treatment. Laboratory errors <strong>of</strong>ten translate to significant patient morbidity and<br />

mortality and considerable increased cost to health care systems. Therefore, it is<br />

imperative in <strong>the</strong> clinical laboratory to have a comprehensive quality assessment<br />

program with metrics in place to demonstrate improvements. In this study, we<br />

analyzed data from a large teaching medical center to identify <strong>the</strong> leading causes <strong>of</strong><br />

errors in <strong>the</strong> clinical chemistry laboratory setting for targeted error prevention efforts.<br />

An additional objective was to evaluate <strong>the</strong> impact <strong>of</strong> <strong>the</strong> error prevention policies and<br />

interventions on quality improvement.<br />

Methods: Retrospective review and analysis <strong>of</strong> error frequencies from 14,573,539<br />

tests were performed to evaluate pre-analytical, analytical, and post-analytical phase<br />

errors that occurred in <strong>the</strong> clinical chemistry laboratory during 2010-2012.<br />

Results:<br />

2010 2011 2012<br />

Error Type Error Freq. Freq. Error Freq. Freq. Error Freq. Freq.<br />

No. (%) (ppm) No. (%) (ppm) No. (%) (ppm)<br />

Pre-analytical 135 52% 28.3 119 55% 24.1 86 49% 17.7<br />

Phlebotomy 7 3% 1.5 7 3% 1.4 6 3% 1.2<br />

Ordering 39 15% 8.2 21 10% 4.3 24 14% 4.9<br />

Processing 39 15% 8.2 12 6% 2.4 24 14% 4.9<br />

Sample integrity 47 18% 9.8 76 35% 15.4 31 18% 6.4<br />

Miscellaneous 3 1% 0.6 3 1% 0.6 1 1% 0.2<br />

Analytical 105 40% 22.0 64 30% 13.0 50 28% 10.3<br />

Result 19 7% 4.0 15 7% 3.0 11 6% 2.3<br />

Instrument 79 30% 16.5 34 16% 6.9 26 15% 5.4<br />

Dilution 3 1% 0.6 11 5% 2.2 8 5% 1.6<br />

Miscellaneous 4 2% 0.8 4 2% 0.8 5 3% 1.0<br />

Post-analytical 22 8% 4.6 32 15% 6.5 41 23% 8.4<br />

Transcription 21 8% 4.4 25 12% 5.1 40 23% 8.2<br />

Miscellaneous 1 0.4% 0.2 7 3% 1.4 1 1% 0.2<br />

Total 262 100% 54.8 215 100% 43.5 177 100% 36.4<br />

* Freq. (%) = frequency (percentage, errors), Freq. (ppm) = frequency (parts per<br />

million, tests)<br />

Conclusions: During 2010-2012, errors from <strong>the</strong> pre-analytical phase (52%) were<br />

<strong>the</strong> most common source <strong>of</strong> laboratory error followed by analytical (33%) and postanalytical<br />

(15%). Sample integrity (10.5 ppm), instrument error (9.6 ppm), and<br />

transcription error (5.9 ppm) were <strong>the</strong> most frequent errors in each phase, respectively.<br />

During this period, a decreasing trend in <strong>the</strong> number <strong>of</strong> pre-analytical and analytical<br />

errors per million tests was noted. We concluded that lab staff re-training, regular<br />

biweekly quality assurance review and discussion <strong>of</strong> observed errors, weekly<br />

monitoring and review <strong>of</strong> instrument flags and quality control outliers, and monthly<br />

technical issue discussions with vendors, contributed to <strong>the</strong> reduction <strong>of</strong> <strong>the</strong>se errors.<br />

Post-analytical errors exhibited an increasing trend and additional efforts will focus on<br />

improving technologist education and LIS reporting to address this issue.<br />

B-41<br />

Description <strong>of</strong> Notification <strong>of</strong> Panic Values in Laboratory <strong>of</strong> 34<br />

hospitals in Brazil in 2012<br />

C. Rodrigues, M. L. N. Figueiredo, L. B. Faro, P. A. J. Augusto, M. L.<br />

Garcia, N. Silva, S. A. Malaman, O. Fernandes. DASA, SÃO PAULO, Brazil<br />

Background:<br />

Critical value is defined as a result suggesting that <strong>the</strong> patient was in an imminent<br />

danger unless appropriate <strong>the</strong>rapy was initiated promptly. It can be called panic value.<br />

Initially values were defined by Clinical Laboratory Improvement Amendments<br />

(CLIA) in 1988, but <strong>the</strong> recent focus in patient safety, has brought increasing attention<br />

to <strong>the</strong> issue <strong>of</strong> laboratory critical value reporting, and is part <strong>of</strong> <strong>the</strong> requirements<br />

for accreditation by The Joint Commission International (JCI) and <strong>the</strong> College<br />

<strong>of</strong> American Pathologists (CAP). The laboratory panic value must be reported<br />

immediately, because <strong>of</strong> <strong>the</strong> imminent risk <strong>of</strong> patient’s life. Such notification must be<br />

immediate, effective and using <strong>the</strong> read-back technique.<br />

Methods: Were evaluated 145,832 panic value reports in 34 Hospitals in Brazil<br />

including São Paulo, Bahia, Porto Alegre, from January to December 2012. The<br />

epidemiological data were obtained from reports generated from <strong>the</strong> Laboratory<br />

information system named Motion®, system TOUCH. Data were analyzed and we<br />

calculated <strong>the</strong> difference between <strong>the</strong> panic values reported and communicated to <strong>the</strong><br />

healthcare team (nurses and physicians). The panic values were appointed by Motion®<br />

system and <strong>the</strong>y were reported by a telephone call to <strong>the</strong> physician responsible.<br />

Results: From January to December 2012, we identified 145,832 panic values reported<br />

by Motion® in 34 Brazilian hospitals, and 144,567 (99.1%) <strong>of</strong> <strong>the</strong>m were adequately<br />

communicated to <strong>the</strong> healthcare team. It shows a high effectively communication <strong>the</strong><br />

Laboratory with <strong>the</strong> health care team, and <strong>the</strong> attention to <strong>the</strong> safety patients, using<br />

<strong>the</strong> read-back technique.<br />

Conclusion: This work demonstrates an adequate percentage <strong>of</strong> panic values<br />

communication (above 95%), which shows a high effective communication strategy<br />

between <strong>the</strong> clinical laboratory and <strong>the</strong> hospitals. These parameters may be considered<br />

an important laboratory outcome measurement because <strong>the</strong>y reflect clinical<br />

effectiveness, patient safety and operational efficiency. And fundamental requirement<br />

in Accreditation Quality.<br />

A180 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Point-<strong>of</strong>-Care Testing<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

B-42<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Point-<strong>of</strong>-Care Testing<br />

On-Site Colorimetric Detection <strong>of</strong> Sweat Chloride Ion for Diagnosing<br />

Cystic Fibrosis<br />

X. Mu 1 , X. Tian 2 , K. Xu 2 , Z. Zheng 1 . 1 Institute <strong>of</strong> Basic Medical Sciences,<br />

School <strong>of</strong> Basic Medicine, Chinese Academy <strong>of</strong> Medical Sciences and<br />

Peking Union Medical College, Beijing, China, 2 Department <strong>of</strong> Respiration,<br />

Peking Union Medical College Hospital, Beijing, China<br />

Background: The detection <strong>of</strong> chloride ion in sweat is <strong>the</strong> gold standard to diagnose<br />

Cystic Fibrosis (CF). Most <strong>of</strong> conventional methods involve two independent steps:<br />

sweat collection and instrumental detection. However, such paradigm suffers from<br />

variations due to sweat evaporation during <strong>the</strong> collection, transfer and storage, and<br />

requires specialized expensive equipments, making it difficult to detect on-site.<br />

Methods: Here, we developed a “Band-Aid like” micr<strong>of</strong>luidic paper-based analytical<br />

device (μPAD) for on-skin detection <strong>of</strong> sweat chloride ion (Figure A). The device can<br />

exchange chloride ion with hydroxide ion by <strong>the</strong> ion exchanging (IE) paper (DE81).<br />

The increase <strong>of</strong> OH- can turn <strong>the</strong> color <strong>of</strong> pH paper from yellow to green. The intensity<br />

<strong>of</strong> changed color is recorded with a cell phone camera and measured in cyan channel<br />

in CMYK color spaces (Figure B). The device also inherently controls <strong>the</strong> color <strong>of</strong> pH<br />

paper, <strong>the</strong> pH <strong>of</strong> sweat as well as <strong>the</strong> amount <strong>of</strong> detected sweet. When a certain amount<br />

<strong>of</strong> sweet is absorbed, <strong>the</strong> volumeter would turn purple (Figure C). A transparent and<br />

adhesive Tegaderm film firmly attaches <strong>the</strong> whole device to <strong>the</strong> skin (<strong>of</strong> forearm).<br />

Results: The required minimal volume for detection was 2 μl <strong>of</strong> sweat, and linear<br />

dynamic range was from 0 to at least 100 mM chloride ion (Figure D). The correlation<br />

coefficient was 0.9945, while within-run CV was below 5%. Since <strong>the</strong> chloride ion is<br />

<strong>the</strong> dominating anion in <strong>the</strong> sweat, o<strong>the</strong>r anions (sulfate and nitrate ions) show little<br />

interference. The device can distinguish healthy people (green triangle) and a mock<br />

sample <strong>of</strong> CF (red diamond), using <strong>the</strong> reference value <strong>of</strong> 40-60 mM chloride ion. Test<br />

results with CF patients will be presented.<br />

Conclusion: Our method integrated <strong>the</strong> separated steps <strong>of</strong> sweat analysis and<br />

provided a convenient and cost-effective way <strong>of</strong> colorimetric quantitative detection,<br />

demonstrating new opportunities in <strong>the</strong> diagnosis <strong>of</strong> CF.<br />

B-43<br />

Evaluation <strong>of</strong> platelet inhibition efficacy for patients undergoing<br />

coronary intervention. Clinical application <strong>of</strong> Point <strong>of</strong> Care Testing<br />

A. I. Alvarez-Ríos, G. Pérez-Moya, J. Romero-Aleta, A. León-Justel, J. M.<br />

Guerrero. H.U. Virgen del Rocio, Sevilla, Spain<br />

Background: Guidelines recommend that antiplatelet <strong>the</strong>rapy using aspirin and<br />

clopidogrel should be administered to <strong>the</strong> majority <strong>of</strong> patients with acute coronary<br />

syndromes, including those undergoing coronary<br />

intervention. Clopidogrel inhibits platelet P2Y12 ADP receptors, while ADP, as an<br />

inductor <strong>of</strong> aggregation, stimulates both P2Y12 and P2Y1 platelet receptors.<br />

Objective: To evaluate <strong>the</strong> platelet inhibition efficacy in patients under regular<br />

maintenance dose <strong>of</strong> aspirin or clopidogrel by VerifyNow-P2Y12® assay.<br />

Methods: The assay VerifyNow-P2Y12 is a turbidimetric immunoassay devised<br />

to measure platelet function according to <strong>the</strong> ability <strong>of</strong> activated platelets to bind<br />

fibrinogen. The VerifyNow-P2Y12 is a rapid assay that test platelet activity over 3<br />

min and uses <strong>of</strong> <strong>the</strong> combination <strong>of</strong> ADP and prostaglandin E1 (PGE1) to directly<br />

measure <strong>the</strong> effects <strong>of</strong> clopidogrel on <strong>the</strong> P2Y12 receptor. ADP is used to maximally<br />

activate <strong>the</strong> platelets by binding to <strong>the</strong> P2Y1 and P2Y12 platelet receptors, while<br />

PGE1 is used to suppress <strong>the</strong> ADP-induced P2Y1-mediated increase in intracellular<br />

calcium levels. A total <strong>of</strong> 30 patients undergoing coronary intervention procedure and<br />

receiving anti-platelet drugs in regular maintenance dose for at least 1 week were<br />

enrolled. 10 patients treated with Aspirin, 10 not treated with Aspirin, and 10 with<br />

Clopidogrel after 5 days <strong>of</strong> suspensionbefore intervention. None <strong>of</strong> our patients were<br />

treated with low molecular weight heparin.<br />

Results from <strong>the</strong> VerifyNow-P2Y12 assay are reported in Aspirin Reaction Units<br />

(ARU) and in P2Y12 Reaction Units (PRU), as platelet reactivity (including baseline)<br />

as platelet inhibition rate. The dosage <strong>of</strong> anti-platelet drugs, combination with any<br />

o<strong>the</strong>r drugs, and clinical characters in baseline <strong>of</strong> all enrolled patients were analyzed.<br />

ARU ≥ 550 was used as cut-<strong>of</strong>f to identify an absence <strong>of</strong> effect <strong>of</strong> aspirin and values<br />

< 550 reflects platelet dysfunction. The results for <strong>the</strong> clopidogrel were calculated as<br />

degree <strong>of</strong> inhibition (%), <strong>the</strong> reference range is 194-418 PRU.<br />

Results: In this study, <strong>the</strong> patients who were not under prophylactic aspirin had an<br />

ARU <strong>of</strong> 620 ±20 (range 563-677), while those that followed an antiplatelet <strong>the</strong>rapy<br />

with aspirin had an ARU <strong>of</strong> 496 ±48 (range 421-540), while <strong>the</strong> degree <strong>of</strong> inhibition for<br />

<strong>the</strong> group taking clopidogrel was


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

total hemoglobin concentrations. The assay was also run in <strong>the</strong> presence <strong>of</strong> various<br />

potential interfering agents, including labile HbA1c, glucose, bilirubin, ascorbic acid,<br />

modified hemoglobins. Finally, using 30 samples <strong>of</strong> individual patient, a comparison<br />

study <strong>of</strong> <strong>the</strong> assay was performed against a DCCT traceable HPLC system (Bio-Rad<br />

Variant II).<br />

Results: The HbA1c cartridge assay takes about 4 minutes with only 1.5 μL <strong>of</strong> whole<br />

blood. The intra laboratory precision was confirmed to be 2.7%(4.6% HbA1c, n=20),<br />

1.9%(6.0% HbA1c, n=20), and 1.6%(8.5% HbA1c, n=20). No major interference<br />

has been identified for common interfering substances found in o<strong>the</strong>r methods. The<br />

comparison test with HPLC system showed a linear correlation across <strong>the</strong> normal and<br />

elevated range <strong>of</strong> %HbA1c (y=1.05x-0.3, n=30, P99% accurate) and<br />

provide a robust estimate <strong>of</strong> time since ovulation (93% agreement with LH surge<br />

reference).<br />

B-47<br />

Evaluation <strong>of</strong> Point <strong>of</strong> Care (POC) Prehospital Testing for Troponin<br />

I (cTnI) while in Hospital Transit via <strong>the</strong> Scottish Ambulance Service<br />

(SAS)- a Preliminary Study using <strong>the</strong> Samsung LABGEOIB10<br />

Analyzer<br />

S. Scotland 1 , P. Lunts 2 , G. Nicoll 2 , K. Barclay 3 , C. Baxter 3 , I. Archibald 3 ,<br />

G. Miller 3 , B. I. Bluestein 4 , E. Brennan 4 , D. Kim 5 , J. Grant 6 , K. Dean 6 .<br />

1<br />

Scottish Centre for Telehealth and Telecare/NHS24, Edinburgh, United<br />

Kingdom, 2 NHS Borders General Hospital, Melrose, United Kingdom,<br />

3<br />

Scottish Ambulance Service, Galashiels, United Kingdom, 4 Nexus-DX,<br />

San Diego, CA, 5 Samsung Electronics Co.,Ltd., Suwon, Korea, Republic <strong>of</strong>,<br />

6<br />

Cisco-IBSG, San Jose, CA<br />

B-45<br />

Analytical Performance <strong>of</strong> Home Pregnancy test that estimates<br />

time since ovulation based on hCG threshold concentration at week<br />

boundaries<br />

S. R. Johnson 1 , P. Perry 1 , T. Alonzo 2 , M. Zinaman 3 . 1 SPD Development<br />

Company Ltd, Bedford, United Kingdom, 2<br />

University <strong>of</strong> Sou<strong>the</strong>rn<br />

California, Monrovia, CA, 3 Tuft’s University School <strong>of</strong> Medicine, Boston,<br />

MA<br />

Background: A new urine pregnancy test is available in <strong>the</strong> USA, which consists<br />

<strong>of</strong> two immunoassay strips (one low and one high sensitivity), optical detection<br />

system and microprocessor which enables determination <strong>of</strong> pregnancy status and<br />

also estimates <strong>the</strong> number <strong>of</strong> weeks since ovulation based on hCG threshold levels.<br />

Results are displayed on an LCD as 1-2, 2-3 and 3+ weeks if a “Pregnant” result<br />

is returned. Studies have been conducted with <strong>the</strong> objective <strong>of</strong> investigating <strong>the</strong><br />

analytical performance <strong>of</strong> this device. This is <strong>the</strong> first device available that equates<br />

urinary hCG levels to time since ovulation. Therefore it is <strong>of</strong> clinical relevance to<br />

understand performance <strong>of</strong> <strong>the</strong> device with regard to accuracy, specificity, precision,<br />

batch variation and comparison to time since ovulation by a reference method.<br />

Methods: Quantitative measurement <strong>of</strong> hCG was conducted on all clinical samples<br />

by AutoDELFIA (Perkin Elmer) for comparative purposes. Laboratory testing <strong>of</strong><br />

urine samples from pregnant (n=107) and non-pregnant volunteers (n=187) was<br />

conducted to determine accuracy <strong>of</strong> <strong>the</strong> pregnancy test (Clearblue pregnancy test with<br />

weeks estimator). Test specificity was investigated using samples from pre-, peri- and<br />

post- menopausal non-pregnant women (n=301). Precision was examined by testing<br />

3 batches, across days and operators on 38 standards (0-10807mIU/ml) (n=90 per<br />

standard). Comparison to time since ovulation was accomplished by recruitment <strong>of</strong><br />

women pre-conception and collection <strong>of</strong> daily urine samples to detect <strong>the</strong> lutenizing<br />

hormone (AutoDELFIA, with ovulation defined as surge+1day). Urine sample<br />

collection continued through early pregnancy to enable laboratory comparison <strong>of</strong><br />

device results to time since ovulation (n= 153 women). A similar sample collection<br />

protocol also enabled pregnancy detection rate to be calculated with respect to day <strong>of</strong><br />

<strong>the</strong> expected period (n=135 pregnancy cycles).<br />

Results: The device was >99% accurate in detecting pregnancy and no “Pregnant”<br />

results were seen following testing <strong>of</strong> urine samples from non-pregnant Pre, Peri and<br />

Background: The Scottish Borders is a large sparsely populated area with a<br />

population <strong>of</strong> 108,000. Within its immediate geographic confines, <strong>the</strong>re is no major<br />

medical center with capability <strong>of</strong> interventional cardiology and its largest town has a<br />

population <strong>of</strong> 16,000. While patients presenting with chest pain are rapidly confirmed<br />

as having myocardial infarction (MI) if <strong>the</strong>ir electrocardiogram (ECG) demonstrates<br />

an ST-segment elevation (STEMI), diagnosis <strong>of</strong> non-ST segment elevation (NSTEMI)<br />

require more information and time to confirm a positive diagnosis. In addition to<br />

clinical symptoms, NSTEMI diagnoses are dependent on assessment <strong>of</strong> both clinical<br />

symptoms and biochemical evaluation <strong>of</strong> cTnI cardiac marker elevations. The purpose<br />

<strong>of</strong> this pilot study was to demonstrate <strong>the</strong> feasibility <strong>of</strong> testing NSTEMI chest pain<br />

patients by measurement <strong>of</strong> cTnI in <strong>the</strong> ambulance during transit. Patients excluded<br />

from <strong>the</strong> study were all STEMI patients who were immediately transferred directly to<br />

<strong>the</strong> Ca<strong>the</strong>ter Lab at Edinburgh Royal Infirmary.<br />

Principle and Methods: All ambulances were equipped with Samsung LABGEO IB10<br />

Analyzers, small portable lightweight (2.4 kg) immunochemistry systems capable <strong>of</strong><br />

measuring from 1 to 3 cardiac biomarkers on a single 500 μL whole blood aliquot<br />

in approximately 20 minutes. Test devices are similar in configuration to a compact<br />

disc. 57 paramedics were trained to operate <strong>the</strong> LABGEO Analyzers and perform <strong>the</strong><br />

cTnI tests. For this pilot study results were reported in print but <strong>the</strong> Analyzer may also<br />

be configured to transmit data electronically. The main objective <strong>of</strong> this first phase<br />

was to assess <strong>the</strong> feasibility <strong>of</strong> performing such testing accurately and precisely in<br />

a moving vehicle. Secondary objectives were to investigate <strong>the</strong> potential impact <strong>of</strong><br />

pre-hospital cTnI testing on subsequent patient pathways based on determinations <strong>of</strong><br />

clinical sensitivity and specificity.<br />

Results: For pr<strong>of</strong>iciency and training, external QC was run daily for this phase <strong>of</strong><br />

<strong>the</strong> study and was within manufacturer specification. Initiation <strong>of</strong> cTnI testing in <strong>the</strong><br />

ambulance reduced <strong>the</strong> average time to first cTnI result by a mean <strong>of</strong> 2.5 h compared<br />

to waiting until arrival at Borders General Hospital (BGH). Of 41 measurements taken<br />

in <strong>the</strong> ambulance, 38 were negative when repeated at <strong>the</strong> hospital (92.7% specificity).<br />

The o<strong>the</strong>r 4 were positive by both <strong>the</strong> LABGEO cTnI method and <strong>the</strong> BGH Lab cTnI<br />

method.<br />

Conclusions: While preliminary in nature, <strong>the</strong>se findings suggest that early<br />

measurement <strong>of</strong> cTnI in NSTEMI patients, when definitively elevated, can aid in<br />

disposition triage decisions in a fashion similar to STEMI ECG findings. If negative<br />

on initial measurement, standard <strong>of</strong> care protocols require serial measurements <strong>of</strong><br />

cTnI over 2 to 3 different time intervals. Based on this preliminary study, ambulance<br />

measurement provides a documented Time 0 presentation greater than 2 h earlier than<br />

waiting for hospital testing which leads to a reduction in actual time between a first<br />

and 2 nd serial measurement.<br />

A182 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Point-<strong>of</strong>-Care Testing<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

B-48<br />

Evaluation <strong>of</strong> <strong>the</strong> Gem Premier 3000 hematocrit and hemoglobin<br />

parameters: a comparison between a POCT device and a CBC<br />

analyzer in critically ill patients<br />

E. Goedert 1 , T. Souza 1 , C. Silva 1 , C. F. A. Pereira 2 , P. Melo 3 , L. B. Faro 2 .<br />

1<br />

DASA, Recife, Brazil, 2 DASA, São Paulo, Brazil, 3 H. Jayme da Fonte,<br />

Recife, Brazil<br />

Background: Point <strong>of</strong> care testing (POCT) is defined as medical testing at or near<br />

<strong>the</strong> site <strong>of</strong> patient care. This increases <strong>the</strong> likelihood that <strong>the</strong> patient, physician,<br />

and care team will receive <strong>the</strong> results quicker, which allows for immediate clinical<br />

management decisions to be made. The intensive care unit scenario <strong>of</strong>fers one <strong>of</strong><br />

<strong>the</strong> best opportunities for <strong>the</strong>se emergent technologies to flourish. The Diagnostic<br />

companies are developing year over year more integrated, portable and affordable<br />

instruments. Red blood cells (RBC) parameters, as hematocrit and hemoglobin levels,<br />

provide indirect data about <strong>the</strong> oxygenation and blood volume in critically ill patients.<br />

In certain emergency circumstances, <strong>the</strong>se results allow a quick decision on clinical<br />

intervention, <strong>the</strong>reby increasing <strong>the</strong> chances <strong>of</strong> survival in <strong>the</strong>se patients. These<br />

parameters are traditionally evaluated by robust, dedicated and specialized analyzers.<br />

We decided to evaluate <strong>the</strong> performance <strong>of</strong> one POCT device for <strong>the</strong> RBC parameters<br />

comparing it with a regular bench top Complete Blood Cells (CBC) Analyzer.<br />

Methods: Laboratory instruments from companies Instrumentation Laboratory®<br />

(Gem Premier 3000) and Sysmex ® (XT 1800i) were used for <strong>the</strong> measurement <strong>of</strong><br />

erythrocyte parameters in 70 adult patients from intensive care unit <strong>of</strong> Jayme da Fonte<br />

Hospital, Recife, Brazil. The Gem Premier (GP) 3000 uses <strong>the</strong> direct conductivity<br />

methodology for hematocrit (Ht) and hemoglobin (Hb) determinations. The Sysmex<br />

XT (XT) 1800i uses <strong>the</strong> spectrophotometry for Hb dosage and electrical impedance<br />

for <strong>the</strong> Ht determination. The mean values and standard deviation were analyzed for<br />

both parameters and methodologies, as well as <strong>the</strong> coefficient <strong>of</strong> determination (R 2 ).<br />

Results: The medium Hb measurement obtained in GP and XT instruments were<br />

respectively 9.3g/dL ± 1.9 and 9,5g/dL ± 1.8. The medium Ht estimate in GP was<br />

30% ± 6.3; in <strong>the</strong> XT we obtained a score <strong>of</strong> 29.8% ± 5.1. There was no statistically<br />

significant difference when analyzing <strong>the</strong> variance <strong>of</strong> <strong>the</strong> different hemoglobin levels<br />

(p = 0.59) and hematocrit (p = 0.78). The determination coefficient was calculated at<br />

approximately 85% for both parameters.<br />

Conclusion: Physicians in intensive care units need to obtain accurate and reliable<br />

results in a very short period <strong>of</strong> time to manage appropriately critical care patients.<br />

Therefore, <strong>the</strong> availability and use <strong>of</strong> a POCT device that provides trustful results <strong>of</strong><br />

hematological parameters can be cost-effective. The Gem 3000 instrument HT and Hb<br />

results were evaluated and considered in agreement with <strong>the</strong> same tests provided by<br />

XT 1800i, and are now <strong>of</strong>fered regularly in this diagnostic scenario.<br />

B-49<br />

Evaluation <strong>of</strong> three whole blood point <strong>of</strong> care lactate methods by<br />

comparison to plasma lactate and a laboratory developed whole blood<br />

flow-injection MS/MS method.<br />

N. V. Tolan 1 , A. M. Wockenfus 1 , C. D. Koch 1 , D. J. Dietzen 2 , B. S.<br />

Karon 1 . 1 Mayo Clinic, Rochester, MN, 2 St. Louis Children’s Hospital and<br />

Washington University School <strong>of</strong> Medicine, St. Louis, MO<br />

Introduction: Compliance with international sepsis resuscitation guidelines,<br />

including point <strong>of</strong> care (POC) whole blood lactate testing, contributes to decreased<br />

ICU mortality from sepsis. This study evaluated three whole blood POC lactate<br />

methods against two plasma lactate methods and a flow-injection MS/MS method<br />

testing ZnSO 4<br />

precipitated whole blood.<br />

Methods: The Nova StatStrip (Nova Biomedical), i-STAT CG4+(Abbott Point<br />

<strong>of</strong> Care) and Radiometer ABL90 (Radiometer Medical ApS) lactate methods were<br />

evaluated. The mean <strong>of</strong> plasma lactate measured on <strong>the</strong> Cobas Integra 400 Plus (Roche<br />

Diagnostics) and Vitros 350 (Ortho Clinical Diagnostics) provided a plasma reference.<br />

Additionally, methods were compared to a flow-injection MS/MS assay measuring<br />

lactate in whole blood extracts. Intra- (n=20) and inter-assay (n=20) coefficients <strong>of</strong><br />

variation (CV) were determined for <strong>the</strong> POC methods using QC material covering<br />

<strong>the</strong> ranges between 0.3-1.3, 1.5-2.5 (except Nova) and 5.4-9.6 mmol/L lactate.<br />

Method comparison was performed by collecting specimens from normal donors at<br />

rest (n=15), exerted (n=41) and with lactic acid-spiked samples (n=25). Due to rare<br />

outliners observed during Nova precision studies, samples were run in duplicate on<br />

two separate meters, whereas all o<strong>the</strong>r methods involved only duplicate testing. For<br />

<strong>the</strong> MS/MS method, whole blood aliquots were immediately precipitated with 0.1M<br />

ZnSO 4<br />

. This method incorporated 13 C 3<br />

-lactate IS and lactate measurement by flowinjection<br />

tandem mass spectrometry (AB Sciex API 3200 QTrap) in negative MRM<br />

mode. POC results were compared to <strong>the</strong> plasma values and MS/MS concentrations<br />

by mean bias, Bland-Altman plots, and through clinical concordance.<br />

Results: Intra-assay precision was


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

B-51<br />

Novel Cellular Hemoglobin A1c Control Linearity Set - Correlation<br />

between Analyzers, Linearity and Stability<br />

K. Das, S. M. Wigginton, J. M. Lechner, W. L. Ryan. Streck, Inc., La Vista,<br />

NE<br />

Background: Over 347 million <strong>of</strong> <strong>the</strong> world population and over 25 million <strong>of</strong> <strong>the</strong><br />

US population are affected by diabetes, causing increasing threat to our healthcare<br />

and economy. Effective diabetes management includes routine monitoring and<br />

maintenance <strong>of</strong> a healthy lifestyle. Measuring hemoglobin A1c <strong>of</strong>fers several<br />

advantages over measuring blood glucose. American Diabetic Association (ADA)<br />

criteria for diabetes diagnosis include an A1c ≥6.5%. Although <strong>the</strong> A1c values<br />

vary from 5±0.5% to around 12±0.5%, in rare occasions extremely low (≤4.5%) or<br />

high (≥16%) A1c values are reported. 1,2 These inaccuracies are attributed to various<br />

causes such as <strong>the</strong> low concentration <strong>of</strong> hemoglobin, or interference by hemoglobin<br />

variants and medications. To reliably report any abnormal results it is important to<br />

validate a wide range <strong>of</strong> A1c values. Additionally it is critical to assure that <strong>the</strong> entire<br />

instrumental analytical process, including lysing step, are functioning correctly. A1c-<br />

Cellular® Linearity set is a five level calibration set that encompasses 3%-20% A1c<br />

range. A1c-Cellular Linearity is <strong>the</strong> only cellular linearity/calibration verification<br />

material with intact RBC. Therefore, it can test <strong>the</strong> entire assay procedure, including<br />

<strong>the</strong> lysing step. Herein, we report <strong>the</strong> cross-instrument correlation <strong>of</strong> A1c values,<br />

linearity <strong>of</strong> A1c values within each instrument assay range, and <strong>the</strong> stability <strong>of</strong> A1c-<br />

Cellular Linearity. We also present a comparison <strong>of</strong> cross-instrument correlation<br />

between <strong>the</strong> A1c values <strong>of</strong> A1c-Cellular Linearity and whole blood sample.<br />

Methods: A1c-Cellular Linearity material is obtained from Streck, Inc (Omaha, NE).<br />

Blood samples were collected from donors with informed consent. The A1c values <strong>of</strong><br />

<strong>the</strong>se samples were correlated across several major A1c platforms including but not<br />

limited to Tosoh G8, Siemens Dimension, Bio-Rad D10. Methods and calculations<br />

were performed based on CLSI guidelines.<br />

Results: The mean A1c values <strong>of</strong> <strong>the</strong> A1c-Cellular Linearity levels are ~3.6±0.5%,<br />

~6.7±0.4%, ~10.1±0.6%, ~13.7±0.8% and ~18.0±0.2% respectively. The R 2 values<br />

are ~0.995 within <strong>the</strong> assay range for each instrument. The SD<br />

values for 10 successive runs on a single platform are in <strong>the</strong> range <strong>of</strong> 0.2-0.8%. The<br />

stability <strong>of</strong> all 5 levels was monitored on Tosoh G8, for 100 days, yielding <strong>the</strong> SD<br />

values <strong>of</strong> 0.1, 0.2, 0.4, 0.6 and 0.7 for Level 1 - Level 5 respectively. The ready-touse<br />

liquid A1c-Cellular Linearity controls have intact red cells and resemble a whole<br />

blood sample.<br />

Conclusion: The A1c values <strong>of</strong> A1c-Cellular Linearity are linear within each<br />

instrument ranges. The A1c values <strong>of</strong> A1c-Cellular Linearity are<br />

correlated between <strong>the</strong> major A1c analyzers across <strong>the</strong> entire reportable ranges <strong>of</strong> <strong>the</strong><br />

instruments. The linearity set is stable for 3 months at 6 °C in a closed vial and 7 days<br />

at 6 °C in open vial. Fur<strong>the</strong>rmore,<br />

Streck A1c-Cellular control is <strong>the</strong> only cellular assay calibration kit with<br />

intact human RBC.<br />

Reference:<br />

1. Gross BN et. al. Falsely low hemoglobin A1c levels in a patient receiving Ribavirin<br />

and Peginterferon alfa-2b for hepatitis C. Parmaco<strong>the</strong>rapy 2009; 29: 121.<br />

2. Zhu Y et. al. Falsely elevated hemoglobin A1c due to S-β + -thalassemia interference<br />

in Bio-Rad Variant II Turbo HbA1c assay. Clin Chim Acta 2009; 409:18<br />

B-52<br />

Multivariable Regression Analysis Techniques for Comparing Two<br />

Point <strong>of</strong> Care Devices with <strong>the</strong> Laboratory Method for Blood Glucose.<br />

A Practical Example Using Patient Specimens.<br />

V. M. Genta 1 , D. Graubner 1 , S. S. Church 2 , L. Wyer 2 , S. Spingarn 3 , Y. Shen 1 .<br />

1<br />

Sentara Virginia Beach General Hospital, Virginia Beach, VA, 2 Sentara<br />

Healthcare, Norfolk, VA, 3 Sentara Norfolk General Hospital, Norfolk, VA<br />

Background: In our Hospital patient’s blood glucose values are determined routinely<br />

with a laboratory method (LM) and, when a rapid response is required, with two point<br />

<strong>of</strong> care devices (POCD). The relationship between <strong>the</strong> performance <strong>of</strong> <strong>the</strong> POCD and<br />

that <strong>of</strong> <strong>the</strong> LM was evaluated by comparing patient blood glucose values obtained<br />

with <strong>the</strong> POCDs with those as obtained with <strong>the</strong> LM, using multivariable least squares<br />

regression analysis techniques.<br />

Methods: Cobas 6000® (Roche), SureStep Flexx® (Lifescan, Johnson and Johnson),<br />

i-STAT® cartridges (CG8+ ®, Chem8+ ®, Abbott Laboratories). After verifying<br />

that <strong>the</strong> methods were in statistical control, 168 patient specimens obtained by<br />

venipuncture were assayed in parallel and within 15 minutes with <strong>the</strong> three methods<br />

by one <strong>of</strong> us (D. G.). The observed glucose values were in <strong>the</strong> interval 40-500 mg/dL.<br />

The observations were collected electronically and transferred to Minitab® (Version<br />

16, Minitab Inc.) statistical s<strong>of</strong>tware. Since <strong>the</strong> plot <strong>of</strong> <strong>the</strong> differences between <strong>the</strong><br />

values obtained with <strong>the</strong> POCD by those as obtained with <strong>the</strong> LM showed increased<br />

variability for increasing blood glucose values, <strong>the</strong> observations were analyzed with<br />

multivariable weighted least squares regression analysis techniques (MWLSR), <strong>the</strong>ir<br />

diagnostics for adequacy <strong>of</strong> <strong>the</strong> model and <strong>the</strong>ir graphic representations.<br />

Results:The MWLSR equation was : POCD = 3 + 1.00 LM - 1.95 coded POCD,<br />

(code: 1 if SureStep Flexx, 2 if i-STAT cartridge), Sy/x=0.8, R^2=99.2, Variance<br />

inflation factor (VIF) for LM=1.039, VIF for coded POCD=1.039, PRESS=104.6.<br />

The test for lack-<strong>of</strong>-fit by data subsetting did not show statistically significant lack<br />

<strong>of</strong> fit (P>=0.1).The plots <strong>of</strong> <strong>the</strong> standardized deleted residuals (sdr) showed a quasinormal<br />

distribution, with no appreciable pattens (Darbin-Watson test=1.88), and one<br />

possible outlier (sdr= -4.53). The leverage (Hi


Point-<strong>of</strong>-Care Testing<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

samples, comprising different concentration levels, ranged 0.4 to 2.5% for HbA1c and<br />

0.6 to 4.4% for lipids and demonstrating good precision. Method comparisons versus<br />

Roche cobas c 501 demonstrated close and highly significant agreement. Total error<br />

over <strong>the</strong> combined sites was less than 7% for HbA1c, 3% for TC, 8% for HDL and<br />

11% for TG. Results <strong>of</strong> performed lot-to-lot assessment and sample matrix assessment<br />

(capillary and venous whole blood, plasma) also showed good agreement. The quality<br />

<strong>of</strong> experimental data was comparable among <strong>the</strong> evaluation sites emphasizing<br />

reproducibility and accuracy <strong>of</strong> <strong>the</strong> cobas b 101 analyzer. A total <strong>of</strong> 78 errors (0.96%)<br />

existed in 8162 cobas b 101 measurements. Practicability was rated as easy to use by<br />

healthcare pr<strong>of</strong>essionals; <strong>the</strong> design <strong>of</strong> system and disc, <strong>the</strong> low sample volume, and<br />

<strong>the</strong> routine workflow requiring no calibration activities were positively rated.<br />

Conclusions: The analytical performance <strong>of</strong> <strong>the</strong> cobas b 101 analyzer was fully<br />

suitable for its clinical use. Main advantages <strong>of</strong> <strong>the</strong> instrument are ease <strong>of</strong> use and<br />

convenience <strong>of</strong> handling, small sample volumes, usability <strong>of</strong> various sample types<br />

and calibration free system. Accordingly, <strong>the</strong> analyzer is a useful tool for monitoring<br />

HbA1c and <strong>the</strong> main lipid constituents in POC settings.<br />

B-54<br />

Development <strong>of</strong> a handheld multiplex point <strong>of</strong> care diagnostic for<br />

differentiation <strong>of</strong> Lassa fever, Dengue fever and Ebola Hemorrhagic<br />

Fever<br />

A. Jones 1 , M. Boisen 1 , R. Radkey 2 , R. Blidner 2 , A. Goba 3 , K. Pitts 1 .<br />

1<br />

Corgenix, Inc., Broomfield, CO, 2 Nanomix, Inc, Emeryville, CA, 3 Lassa<br />

Fever Program Kenema Government Hospital, Kenema, Sierra Leone<br />

Background: Lassa virus is a zoonotic virus causing severe disease and hemorrhagic<br />

fever (HF), infecting hundreds <strong>of</strong> thousands <strong>of</strong> people each year. Dengue virus is<br />

a pandemic mosquito born virus causing 50-100 million infections and several<br />

hundred thousand cases <strong>of</strong> HF each year. Ebola virus infection is rare but severe and<br />

a cause <strong>of</strong> HF with sporadic outbreaks in Central Africa. The symptoms and causes<br />

<strong>of</strong> HF can be difficult to distinguish but necessitate different treatment, isolation and<br />

epidemiological responses. There is a clear need for diagnosis <strong>of</strong> viral HF in endemic<br />

and austere environments, in military zones or biothreat scenarios. We have developed<br />

<strong>the</strong> Nanomix POC IVD Panel, a handheld electronic, carbon nanotube biosensor<br />

multiplex assay for <strong>the</strong> detection <strong>of</strong> Lassa, Dengue and Ebola virus hemorrhagic<br />

fevers.<br />

Methods: The POC IVD Panel assay consists <strong>of</strong> a reader/processor and sealed,<br />

disposable assay cartridges containing <strong>the</strong> necessary biological and chemical reagents.<br />

Cartridges were prepared with reaction pads coated with capture antibodies specific<br />

for Lassa, Dengue and Ebola. Low volume samples were mixed with a reporter pellet<br />

containing lyophilized HRP-conjugated antibodies and injected into <strong>the</strong> cartridge.<br />

The reader/processor performed <strong>the</strong> assay and wash steps and reported nano-voltage<br />

results in ten minutes. Lassa positive samples were also assayed with <strong>the</strong> ReLASV TM<br />

Lassa antigen detection ELISA. Samples included non-infectious recombinant<br />

proteins (Lassa, Ebola), inactivated viral culture supernatants (Dengue) and infectious<br />

human samples collected at Kenema Government Hospital, Sierra Leone.<br />

Results: Lassa, Dengue and Ebola antigens were successfully detected with <strong>the</strong> assay<br />

with no cross reactivity. The mean voltage <strong>of</strong> Dengue antigen positive samples was<br />

1417 compared to mean voltages less than 50 for LASV negative and malaria positive<br />

samples, p


Tuesday, July 30, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

markers. The ROC curve shows confidence interval <strong>of</strong> 95%: 0.62 to 0.68 <strong>of</strong> <strong>the</strong><br />

CK-MB activity to diagnostic in function <strong>of</strong> cTp I and confidence interval <strong>of</strong> 95%:<br />

0.65 to 0.72 <strong>of</strong> <strong>the</strong> cTpI on CK-MB activity. The data showed that among patients<br />

possessed only <strong>the</strong> first test for markers in hospitals analyzed, 516 cases had CK-MB<br />

activity, with normal cTp I, 104 with changes in both markers, 20 cases with values<br />

within <strong>the</strong> normal range for both and o<strong>the</strong>rs remaining within <strong>the</strong> limits <strong>of</strong> risk. For<br />

those who had serial measurements, <strong>the</strong> data showed that 69.6% <strong>of</strong> patients with CK-<br />

MB activity, normal in <strong>the</strong> first test, had positive results in <strong>the</strong> second measure. The<br />

adjusted residual analysis shows that, among patients with cTp I changed in <strong>the</strong> first<br />

test, 62.1% had CK-MB activity within <strong>the</strong> normal range.<br />

Conclusion: More than half <strong>of</strong> patients admitted with AMI were positive in <strong>the</strong><br />

second dose <strong>of</strong> CK-MB activity. The cTp I significantly higher positivity for diagnosis<br />

compared with serial measurements <strong>of</strong> CK-MB activity. Positive results were<br />

predominant in males. For emergency services that utilize <strong>the</strong> strengths <strong>of</strong> CK-MB<br />

activity, emphasizes <strong>the</strong> importance <strong>of</strong> serial measurements necessarily to increase<br />

<strong>the</strong> detection <strong>of</strong> <strong>the</strong> method, especially in women. And <strong>the</strong> more worrying that 68%<br />

<strong>of</strong> patients seen had only one measurement <strong>of</strong> cardiac markers. Would <strong>the</strong>y have been<br />

released or transferred to o<strong>the</strong>r hospitals...<br />

B-57<br />

Thromboelastometry analysis and management <strong>of</strong> life-threatening<br />

hemorrhage in multifocal bleeding: a case report<br />

A. I. Alvarez-Rios, J. Romero-Aleta, B. Pineda-Navarro, J. A. Noval-<br />

Padillo, J. M. Guerrero. H.U. Virgen del Rocio, Sevilla, Spain<br />

Background:The thromboelastometry (TEM) is a diagnostic method whose purpose<br />

is <strong>the</strong> detection, within a few minutes, <strong>of</strong> <strong>the</strong> hemostasis alterations that may have<br />

an impact on coagulation. A TEM equipment has been introduced to <strong>the</strong> surgical<br />

area <strong>of</strong> our hospital. It is a device that measures <strong>the</strong> viscoelastic properties <strong>of</strong> blood<br />

dynamical and globally. It is based on measuring <strong>the</strong> elasticity <strong>of</strong> <strong>the</strong> blood by charting<br />

<strong>the</strong> consistency <strong>of</strong> a clot during its formation and later fibrinolysis. It is also <strong>the</strong> “gold<br />

standard” for studying <strong>the</strong> fibrinolysis. TEM has been used in different clinical areas<br />

where implementation has caused a major change in <strong>the</strong> attitude <strong>of</strong> anes<strong>the</strong>siologists<br />

and intensivists, who have daily contact with bleeding disorders. Shore-Lesserson<br />

et al. showed that <strong>the</strong> routine use <strong>of</strong> TEM, implies a reduction in <strong>the</strong> transfusion <strong>of</strong><br />

blood products compared to standard care, based on routine laboratory testing in<br />

patients undergoing major cardiovascular surgery. This implies a reduction in costs<br />

and unnecessary exposure <strong>of</strong> <strong>the</strong> patient to blood and its derivatives.<br />

Objective: To describe a case report <strong>of</strong> multifocal hemorrhage after fibrinolytic<br />

<strong>the</strong>rapy for acute myocardial infarction (AMI) which was finally treated as directed<br />

by a TEM study.<br />

Methods:A 55 year-old man with a history <strong>of</strong> ischemic heart disease with expression<br />

<strong>of</strong> AMI and peripheral artery disease that presented spontaneous intracerebral<br />

hemorrhage with moderate intraventricular component, acute hydrocephalus and<br />

subarachnoid hemorrhage in <strong>the</strong> context <strong>of</strong> previous AMI which was treated with<br />

fibrinolysis, triple antiplatelet and anticoagulation rescue percutaneous angioplasty.<br />

The patient, during his evolution, presented multifocal bleeding with hematemesis,<br />

hematuria, gingival bleeding, and hemodynamic instability. The intensivists contacted<br />

to our laboratory and asked for a TEM study to discard fibrinolysis as <strong>the</strong> first cause<br />

<strong>of</strong> bleeding.<br />

Results:After <strong>the</strong> study, data discarded persistent fibrinolysis (continuous graphical<br />

recording <strong>of</strong> <strong>the</strong> consistency <strong>of</strong> a clot during coagulation did not show that <strong>the</strong><br />

maximum firmness <strong>of</strong> <strong>the</strong> clot did not decrease) and deficit <strong>of</strong> fibrinogen (FIBTEM<br />

was normal) as causes <strong>of</strong> bleeding. We did not observe <strong>the</strong> leng<strong>the</strong>ning <strong>of</strong> coagulation<br />

time nor maximum firmness <strong>of</strong> clot. The cause <strong>of</strong> <strong>the</strong> bleeding was primarily due<br />

to platelet dysfunction. In view <strong>of</strong> <strong>the</strong>se data, <strong>the</strong> patient was treated with platelet<br />

transfusions presenting a favorable clinical course.<br />

Conclusion: The knowledge <strong>of</strong> <strong>the</strong> function <strong>of</strong> patient coagulation is essential for <strong>the</strong><br />

proper management <strong>of</strong> bleeding. The study by TEM facilitates, within a few minutes,<br />

data that allow us to manage and treat major hemostatic alterations, avoiding patient<br />

exposure to blood products unnecessarily and reducing economic costs.<br />

B-58<br />

Affect <strong>of</strong> format on ability to conduct and interpret home pregnancy<br />

tests by untrained users<br />

J. Pike, S. R. Johnson. SPD Development Company Ltd., Bedford, United<br />

Kingdom<br />

Background: Clinical analytical tests are now <strong>of</strong>ten being marketed to untrained<br />

people, in formats normally only used in <strong>the</strong> laboratory environment. For example,<br />

although many home pregnancy tests are designed to be used by women with no<br />

training, direct copies <strong>of</strong> laboratory tests in strip and cassette formats are also available.<br />

The objective <strong>of</strong> this randomised study was to determine whe<strong>the</strong>r <strong>the</strong>se types <strong>of</strong> tests<br />

could be used accurately by a lay-person, in comparison to tests specifically designed<br />

for home use. It is important to challenge <strong>the</strong> assumption that tests formatted to be<br />

simple to use by trained individuals in a clinical environment, such as simple strips<br />

or cassette styles which require pippetting <strong>of</strong> sample, can also be used by lay people<br />

in <strong>the</strong> home environment. Therefore it is <strong>of</strong> relevance to investigate how <strong>the</strong> affect <strong>of</strong><br />

environment and training can influence test accuracy.<br />

Methods: Pregnancy tests <strong>of</strong> different formats (digitally read midstream test, visually<br />

read midstream test, budget visual midstream test, strip test and cassette test) that are<br />

available to purchase from pharmacies, were tested by lay women (n=112) in <strong>the</strong>ir<br />

own homes. The women completed questionnaires regarding <strong>the</strong>ir ability to conduct<br />

<strong>the</strong> test. The same women <strong>the</strong>n attended a study centre where <strong>the</strong>y conducted <strong>the</strong> same<br />

tests on standards (0, 25, 50mIU/ml hCG) and were observed by a trained technician.<br />

Technicians also performed <strong>the</strong> same testing on standards. Accuracy <strong>of</strong> test results<br />

was determined for each format. Additional questionnaires were completed regarding<br />

study conduct. All testing was randomised.<br />

Results: Despite strip and cassette tests only being suitable for use with collected<br />

urine samples, women still tried to use <strong>the</strong>se tests in-stream when testing at home<br />

(n=9 for strips and n=1 for cassette). With midstream tests, where <strong>the</strong>re is an option<br />

for in-stream testing, most women chose to test in-stream (80-86% for <strong>the</strong> different<br />

midstream formats). When women used <strong>the</strong> tests at <strong>the</strong> study centre observed by a<br />

technician, many mistakes in testing were observed, for example, not dipping for <strong>the</strong><br />

required amount <strong>of</strong> time. Accuracy <strong>of</strong> women reading <strong>the</strong> correct result was 99% for<br />

digital midstream, 97% for visually read midstream, 75% for budget midstream, 69%<br />

for cassette and 59% for strip test. Women reported <strong>the</strong> midstream tests as being easier<br />

to use and read.<br />

Conclusion: Laboratory format pregnancy tests are not suitable for at home use<br />

because women can not use <strong>the</strong> tests correctly, nor interpret <strong>the</strong> results. This is likely<br />

to be due to lower ease <strong>of</strong> use <strong>of</strong> <strong>the</strong>se formats and also problems with interpretation<br />

<strong>of</strong> instructions for use. These types <strong>of</strong> tests should only be used by laboratory<br />

pr<strong>of</strong>essionals. Only tests formatted to facilitate use by untrained people, with simple<br />

to understand instructions, should be available for home use.<br />

B-59<br />

Point-<strong>of</strong>-Care Testing (PoCT) for decentralised testing <strong>of</strong> lipids:<br />

independent evaluation protocol <strong>of</strong> a PoCT device<br />

L. Rossi 1 , L. Della Bartola 2 , O. Giampietro 2 , E. Matteucci 2 . 1 Azienda<br />

Ospedaliera Pisana, Laboratorio Patologia Clinica, AOUP, Italy, 2 Pisa<br />

University, Dept Clinical and Experimental Medicine, Pisa, Italy<br />

Background: PoCT decentralised laboratory testing is performed at sites <strong>of</strong><br />

immediate patient care and its results are used for clinical decision-making. Quality<br />

control is required to ensure that PoCT laboratory testing is high quality and cost<br />

effective, in order to contribute to optimal patient care. Few studies have assessed <strong>the</strong><br />

clinical agreement between lipid PoCT results compared to laboratory results. The<br />

aim <strong>of</strong> this study is to evaluate <strong>the</strong> accuracy and precision <strong>of</strong> PoCT devises for lipid<br />

screening compared with laboratory lipid test results in healthy subjects and patients<br />

with dyslipidaemia.<br />

Methods: 2 CardioChek PA Analysers (CCA) (PTS, Indianapolis, USA), which<br />

employ light reflectance to measure enzymatic chemical reactions using PTS PANELS<br />

Lipid Panel test strips to measure total cholesterol, HDL cholesterol and triglycerides<br />

in whole blood, were evaluated on 20 consecutive days by designed quality control kit<br />

(ChekMate) and PTS Panel Quality Control materials. Fasting venous samples from<br />

50 subjects were analysed on both CCA whose results were compared with <strong>the</strong> routine<br />

clinical laboratory assay <strong>of</strong> plasma lipids (COBAS 6000, Roche Diagnostics, Milano,<br />

Italy). Fasting finger-stick samples <strong>of</strong> 25 subjects were analysed on one CCA device<br />

and compared with laboratory venous results.<br />

A186 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Point-<strong>of</strong>-Care Testing<br />

Tuesday, July 30, 9:30 am – 5:00 pm<br />

Results: There was no statistically significant difference between portable<br />

measurements <strong>of</strong> total cholesterol, HDL cholesterol, and triglycerides vs. clinical<br />

laboratory results using paired Student t test. Capillary values <strong>of</strong> total cholesterol,<br />

HDL cholesterol, and triglycerides well correlated with laboratory results on venous<br />

blood (r from 0.96 to 1.0, p


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

Paired t-test: The p value was 4 mmol/L. Laboratories with recurrent flags and large deviations from <strong>the</strong><br />

assigned value were required to submit investigations to report <strong>the</strong> causes <strong>of</strong> <strong>the</strong> flags.<br />

Results: The median <strong>of</strong> <strong>the</strong> POC glucose peer group CVs (4.5%; range 0.8%-14.5%)<br />

was higher than <strong>the</strong> median CV obtained in laboratory glucose peer groups (1.6%;<br />

range 0.6%-3.2%) at glucose concentrations <strong>of</strong> 4.6 - 17.9 mmol/L based on a total <strong>of</strong><br />

166 and 179 assessments by peer group in <strong>the</strong> POC and laboratory glucose surveys,<br />

respectively. The median <strong>of</strong> <strong>the</strong> number <strong>of</strong> participants in <strong>the</strong> POC and laboratory<br />

glucose peer groups were 54 and 9, respectively. All reported laboratory glucose<br />

results were within <strong>the</strong> acceptable limits and no flags occurred despite <strong>the</strong> tighter<br />

APLs used. However, 305 (0.6%) results exceeded APLs in <strong>the</strong> POC glucose surveys.<br />

Investigations from 277 (0.5%) results reported pre- and post-analytical errors that<br />

accounted for 77% <strong>of</strong> <strong>the</strong> discordant findings. Using wrong PT items, sample mix-up<br />

on <strong>the</strong> bench, reporting results for wrong samples were <strong>the</strong> most frequent reasons,<br />

while 20% <strong>of</strong> discordant findings identified manufacturer issues, and 3% were <strong>of</strong><br />

unknown origin. If laboratory glucose APLs had been applied to POCT glucose<br />

results, 6888 results (13%) would have been flagged.<br />

Conclusions: POC glucose errors vastly outnumbered any errors associated with<br />

laboratory glucose measurements. Additionally, <strong>the</strong> high imprecision reflects <strong>the</strong><br />

looser performance criteria permitted for POC glucose testing (±20% compared to<br />

laboratory reference values). Although this study is based on PT samples and interlaboratory<br />

data, <strong>the</strong> findings could approximate <strong>the</strong> various errors encountered within<br />

hospitals when testing patients. In order to decrease pre- and post-analytical errors that<br />

are frequent in POC testing, greater attention is needed in <strong>the</strong> training <strong>of</strong> personnel<br />

and taking precautions to prevent transcription errors. Lastly, tighter analytical<br />

requirements for glucose meters are needed to serve hospital patients especially when<br />

POC results are used interchangeably with laboratory values.<br />

B-66<br />

Evaluation <strong>of</strong> Dialysate Fluid* on <strong>the</strong> Siemens RAPIDPoint 500 Blood<br />

Gas System<br />

N. Greeley, C. Savignano. Siemens Healthcare Diagnostics, Norwood, MA<br />

Introduction: Dialysis is a treatment for patients who exhibit later-stage kidney<br />

failure or chronic renal insufficiency. This treatment is used to clean <strong>the</strong> blood by<br />

removing wastes, such as urea and creatinine, as well as excess fluid from <strong>the</strong> body.<br />

Dialysate fluid* is a concentrated aqueous solution that is used in hemodialysis<br />

to filter <strong>the</strong> blood. In healthy patients, <strong>the</strong> kidneys maintain <strong>the</strong> body’s internal<br />

equilibrium <strong>of</strong> water and minerals, including sodium (Na + ), potassium (K + ), chloride<br />

(Cl - ), and calcium (Ca ++ ), which can be measured by <strong>the</strong> Siemens RAPIDPoint ® 500<br />

Blood Gas System.<br />

Methods: Test methods were adapted from <strong>the</strong> Clinical Laboratory Standards<br />

Institution Method Comparison and Bias Estimation Using Patient Samples (CLSI<br />

EP09-A2). Dialysate fluid samples (altered and unaltered) that spanned <strong>the</strong> analytical<br />

range for each analyte were evaluated on RAPIDPoint 500 systems, RAPIDLab ®<br />

348 systems, <strong>the</strong> Roche Diagnostics AVL ® 9180 Series Electrolyte Analyzer, and <strong>the</strong><br />

Nelson Jameson 926S ® Chloride Meter.<br />

A188 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Point-<strong>of</strong>-Care Testing<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Results: Deming regression analysis comparing <strong>the</strong> RAPIDPoint 500 system to <strong>the</strong><br />

predicate devices for <strong>the</strong> analyte(s) <strong>of</strong> interest passed acceptance (see Table 1).<br />

Conclusions: Method comparison testing showed that Na + , K + , Ca ++ , and Cl - results<br />

on <strong>the</strong> RAPIDPoint 500 system operated in dialysate fluid mode were substantially<br />

equivalent to those on <strong>the</strong> predicate devices.<br />

Table 1: Method Comparison Results for Na + , K + , Ca ++ , and Cl -<br />

RP500 vs. RL348<br />

n Slope R 2 Sy.x<br />

Na + 137 1.010 0.9988 -1.21<br />

K + 131 1.005 0.9994 -0.020<br />

RP500 vs. AVL9180<br />

Na + 132 0.980 0.9976 1.77<br />

K + 125 1.030 0.9983 -0.115<br />

Ca ++ 135 0.970 0.9976 -0.051<br />

RP500 vs. 926S<br />

Cl - 263 1.010 0.9975 -0.60<br />

Footnotes<br />

1<br />

Not available for sale in <strong>the</strong> US. Product availability varies by country.<br />

B-67<br />

Clinical and Analytical Evaluation <strong>of</strong> Three POCT Glucose Meters<br />

J. L. Shaw 1 , M. P. A. Henderson 1 , L. Oliveras 2 , C. Seguin 2 , T. Moran 2 , S. L.<br />

Perkins 1 . 1 The Ottawa Hospital and The University <strong>of</strong> Ottawa, Ottawa, ON,<br />

Canada, 2 The Ottawa Hospital, Ottawa, ON, Canada<br />

Objective: To evaluate <strong>the</strong> clinical usability and analytical performance <strong>of</strong> three<br />

POCT glucose meters. Input from clinical end users is rarely collected as part <strong>of</strong><br />

instrument evaluation. Here, a novel approach to collection and analysis <strong>of</strong> <strong>the</strong>se data<br />

is presented as well as <strong>the</strong> results <strong>of</strong> an in-depth analytical evaluation.<br />

Methods: Three commercial glucose meters, <strong>the</strong> Abbott Precision Xceed, Nova<br />

StatStrip and Roche Accu-Check Inform II, were evaluated by end users including<br />

nurses and nurse educators (n=82) from nine clinical areas across three campuses,<br />

including infection control. Respondents were given a demonstration <strong>of</strong> and <strong>the</strong><br />

opportunity to operate each meter. Users were asked to numerically score <strong>the</strong> meters<br />

on <strong>the</strong> following criteria: meter size, shape and weight, screen size and readability,<br />

ease <strong>of</strong> operation, battery life, docking requirements, ease <strong>of</strong> cleaning, login screen,<br />

electronic entry, ease <strong>of</strong> performing quality control (QC), strip opening and insertion,<br />

sample application and time to result.<br />

The analytical performance <strong>of</strong> each meter was assessed according to CLSI guidelines<br />

(EP5, 6 and 9) including: imprecision, linearity, interferences (β-hydroxybutyrate,<br />

ascorbic acid, bilirubin, galactose, hematocrit and maltose) and relative bias, as<br />

compared to measurements made by <strong>the</strong> Siemens Vista 1500 chemistry analyzer.<br />

Results: End users reported <strong>the</strong> Abbott meter as <strong>the</strong> most ergonomic. Nova scored<br />

well on screen size and readability and time to result. Roche scored highest in <strong>the</strong><br />

majority <strong>of</strong> categories, with <strong>the</strong> exception <strong>of</strong> ergonomics. Roche received particularly<br />

high scores in <strong>the</strong> categories <strong>of</strong> battery life, docking requirements and ease <strong>of</strong> cleaning.<br />

Analytically, β-hydroxybutyrate did not interfere with glucose measurements made<br />

by any <strong>of</strong> <strong>the</strong> meters. Bilirubin (200 mmol/L) caused negative interference with<br />

<strong>the</strong> Abbott and Nova meters at low glucose concentrations (10-15% at 2 mmol/L).<br />

Galactose produced a significant, positive interference on <strong>the</strong> Roche meter (100% at 2<br />

mmol/L). Elevated hematocrit caused negative interference with <strong>the</strong> Nova and Roche<br />

meters (25% at 2 mmol/L). Maltose showed no interference with any <strong>of</strong> <strong>the</strong> meters.<br />

All meters demonstrated acceptable linearity and precision. The Abbott meter showed<br />

a constant negative bias, <strong>of</strong> approximately 1 mmol/L, compared to <strong>the</strong> Siemens Vista<br />

glucose method. Minimal bias was noted for <strong>the</strong> o<strong>the</strong>r two meters.<br />

Discussion: Interference studies demonstrated significant positive interference <strong>of</strong><br />

galactose with glucose measurements made by <strong>the</strong> Roche meter. This could be an<br />

issue in neonates with hypoglycaemia and galactosemia. Additionally, hematocrit<br />

interference can pose a risk in neonates where elevated hematocrit is relatively<br />

prevalent. Maltose did not interfere with any <strong>of</strong> <strong>the</strong> glucose meters. This had been an<br />

issue previously with some commercial glucose meters and was <strong>of</strong> particular concern<br />

in patients on peritoneal dialysis.<br />

The current study outlines an extensive evaluation <strong>of</strong> three POCT glucose meters<br />

both analytically and clinically. It can be difficult to capture input from Clinical<br />

Stakeholders and <strong>the</strong> approach here outlines a unique approach and model for<br />

collecting and analyzing <strong>the</strong>se data in a large tertiary care setting. Overall, <strong>the</strong> Roche<br />

meter scored highest on both analytical and clinical criteria and was deemed <strong>the</strong> most<br />

suitable meter from an infection control perspective.<br />

B-68<br />

Integrated QC System in Point-<strong>of</strong>-Care Analyzer<br />

S. Mansouri, J. Cervera, N. Raymond. Instrumentation Laboratory,<br />

Bedford, MA<br />

Use <strong>of</strong> clinical analyzers in point-<strong>of</strong>-care (POC) environment by nonlaboratory<br />

personnel necessitates an integrated quality control (QC) system with ability to<br />

evaluate <strong>the</strong> complete analytical process automatically. A key requirement in<br />

developing such an integrated QC system is <strong>the</strong> capability to detect errors during<br />

each stage <strong>of</strong> <strong>the</strong> testing process, that is, pre-analytical, analytical and post analytical.<br />

Intelligent Quality Management (iQM) is an example <strong>of</strong> such an integrated QC system<br />

incorporated in <strong>the</strong> GEM analyzers for measurement <strong>of</strong> blood gases, electrolytes,<br />

metabolites and Co-oximetry at <strong>the</strong> point-<strong>of</strong>-care. The primary method <strong>of</strong> error<br />

detection in iQM is based on monitoring sensor baseline drift and using drift limit as<br />

a control parameter for detecting errors caused by patient blood samples containing<br />

interfering substances, blood clots, etc. The source <strong>of</strong> error is detected through<br />

identifying specific pattern in <strong>the</strong> sensor baseline drift that is indicative <strong>of</strong> a known<br />

failure mode.<br />

In this paper, we describe utilization <strong>of</strong> sensor response pattern check during sample<br />

measurement for fur<strong>the</strong>r enhancing and expediting error detection capabilities <strong>of</strong> iQM.<br />

The methodology is based on fitting <strong>the</strong> sensor response to a logarithmic polynomial<br />

function for determining <strong>the</strong> fit coefficients. The magnitude <strong>of</strong> <strong>the</strong> fit coefficients is<br />

being used to determine normality <strong>of</strong> <strong>the</strong> response shape and detecting analyte errors<br />

by identifying abnormality in <strong>the</strong>ir response pattern.<br />

MATERIALS AND METHODS: Sensor outputs during sample exposure in <strong>the</strong><br />

GEM® Premier 4000 analyzer (Instrumentation Laboratory, Bedford, MA) were<br />

collected at one second intervals and <strong>the</strong> response from 15 to 30 seconds was fit to<br />

a second degree logarithmic polynomial. A linear logarithmic fit was used for <strong>the</strong><br />

electrolytes. For calculating <strong>the</strong> fit coefficients, outliers in <strong>the</strong> sensor response data<br />

were identified by studentized residual technique and removed.<br />

RESULTS: A total <strong>of</strong> about 1,000 samples from six GEM Premier 4000 analyzers<br />

covering <strong>the</strong> reportable range <strong>of</strong> <strong>the</strong> analytes were used to calculate <strong>the</strong> mean and<br />

standard deviations (SD) <strong>of</strong> <strong>the</strong> fit coefficients. A preliminary analyte response<br />

normality check was established based on <strong>the</strong> fit coefficient being within <strong>the</strong> mean ±<br />

5SD range. Analyte results with abnormal fit coefficient were found to be significantly<br />

deviated from <strong>the</strong>ir target values. Those included samples contaminated with sodium<br />

thiopental which reported erroneous pCO2 results and samples contaminated<br />

with thiocyanate reporting erroneous chloride results. In case <strong>of</strong> <strong>the</strong> thiopental<br />

contamination, <strong>the</strong>re were a few marginally erroneous results that were not detected<br />

by <strong>the</strong> response pattern check but were flagged for interference by <strong>the</strong> existing iQM<br />

check. Ability for detecting analyte errors in sample result due to air bubble hangup<br />

over sensors was investigated by purposely creating stream <strong>of</strong> air bubbles in <strong>the</strong><br />

sample. There were few erroneous results for <strong>the</strong> sodium and chloride that were<br />

detected by <strong>the</strong> sample normality pattern check but were not detected by <strong>the</strong> existing<br />

iQM check <strong>of</strong> baseline monitoring.<br />

CONCLUSION: This study demonstrated utility <strong>of</strong> <strong>the</strong> sample normality pattern<br />

check in complementing and enhancing iQM error detection in <strong>the</strong> GEM system. The<br />

new checks could expedite detection <strong>of</strong> certain errors to <strong>the</strong> time <strong>of</strong> measuring sample<br />

result.<br />

B-69<br />

Demonstration <strong>of</strong> <strong>the</strong> MBio CD4 System for T-cell counting at <strong>the</strong><br />

point-<strong>of</strong>-care<br />

M. Lochhead 1 , M. Givens 1 , A. Weaver 1 , Y. Yu 1 , S. Bickman 1 , J. Ives 1 , E.<br />

Noormahomed 2 , C. Logan 3 , C. Benson 3 , R. Schooley 3 . 1 MBio Diagnostics,<br />

Inc., Boulder, CO, 2<br />

Universidade Eduardo Mondlane, Maputo,<br />

Mozambique, 3 University <strong>of</strong> California, San Diego, San Diego, CA<br />

Background: Destruction <strong>of</strong> CD4 helper T cells is <strong>the</strong> hallmark <strong>of</strong> HIV infection.<br />

Worldwide, <strong>the</strong> CD4 T cell count is used for disease staging and management <strong>of</strong><br />

HIV-infected individuals. Flow cytometry provides<br />

accurate measurements <strong>of</strong> CD4 T cells and is <strong>the</strong> current standard-<strong>of</strong>-care in most<br />

settings. Unfortunately, flow cytometry is typically performed in centralized<br />

laboratories, rendering access to CD4 count as a challenge in high disease burden,<br />

resource-limited settings. Results are presented here demonstrating performance <strong>of</strong> a<br />

simple, robust, point-<strong>of</strong>-care CD4 counting system.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A189


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

Methods: The MBio CD4 System consists <strong>of</strong> single use disposable cartridges and a<br />

simple reader. For this performance evaluation, single-use lyophilized reagent tubes<br />

were also prepared as part <strong>of</strong> a heat-stable reagent development program. A total <strong>of</strong><br />

49 HIV-infected blood donors in San Diego, CA and Maputo, Mozambique provided<br />

venous blood tube specimens under IRB-approved protocols. Specimens were run in<br />

triplicate on <strong>the</strong> MBio System. Reference testing was by flow cytometry. The MBio<br />

protocol was as follows. Ten microliter whole blood samples were added to <strong>the</strong> dried<br />

reagent tube and <strong>the</strong>n were immediately transferred to <strong>the</strong> MBio cartridge. After a 20<br />

minute incubation, cartridges were analyzed on <strong>the</strong> MBio CD4 Reader which provides<br />

an absolute CD4 T cell count in cells per microliter whole blood.<br />

Results: A total 49 samples were run in triplicate. Median cell count for <strong>the</strong> collection<br />

based on flow cytometry was 291 cells/uL, and specimens ranged from 0 cells/uL to<br />

1206 cells/uL. There was one cartridge failure so a total <strong>of</strong> 146 results were reported.<br />

The Bland-Altman method was used to compare <strong>the</strong> MBio results to reference flow<br />

cytometry. B-A parameters were as follows: mean bias: -11 cells/uL (95% CI = -22.1<br />

to -0.6 cells/uL); upper limit <strong>of</strong> agreement: 118 cells/uL (95%CI = +99.8 to +127.0<br />

cells/uL); and lower limit <strong>of</strong> agreement: -141 cells/uL (95% CI = -159.7 to -122.5<br />

cells/uL). Results accuracy in this demonstration is within a clinically useful range.<br />

Conclusion: The point-<strong>of</strong>-care system presented here has been successfully<br />

demonstrated to deliver absolute CD4 counts over a clinically useful range. The<br />

system has particular utility for resource-limited settings.<br />

B-70<br />

Performance evaluation <strong>of</strong> a new one-step quantitative prostatespecific<br />

antigen assay, <strong>the</strong> FRENDTM PSA test<br />

H. Park 1 , S. LEE 2 , D. Jekarl 1 , Y. Kim 1 , C. Lee 3 , S. Han 3 , C. Chung 3 , J.<br />

Chang 3 . 1 Catholic University <strong>of</strong> Korea, Seoul, Korea, Seoul, Korea,<br />

Republic <strong>of</strong>, 2 Incheon St. Mray’s Hospital, Catholic University <strong>of</strong> Korea,<br />

Seoul, Korea, Incheon, Korea, Republic <strong>of</strong>, 3 NanoEnTek, Inc., Seoul,<br />

Korea, Republic <strong>of</strong><br />

Background: The aim <strong>of</strong> this study was to evaluate a new one-step quantitative<br />

prostate- specific antigen (PSA) assay, <strong>the</strong> FREND TM PSA test (NanoEnTek Inc,<br />

Seoul, Korea) that has been developed for point-<strong>of</strong>-care testing. It is a lateral-flow<br />

fluorescence immunoassay for determining PSA level on a chip card by measuring<br />

laser-induced fluorescence on a test device.<br />

Methods: The imprecision, linearity, hook effect and detection limit (LoD) <strong>of</strong> <strong>the</strong><br />

FREND PSA test were evaluated according to Clinical and Laboratory Standard<br />

Institute (CLSI) guidelines. For methods comparison, aliquots <strong>of</strong> 61 clinical samples<br />

over <strong>the</strong> analytical measuring range claimed by manufacturer’s instruction (0.1-25.0<br />

ng/mL) were measured in duplicate during 5 days with FREND PSA test and o<strong>the</strong>r<br />

three comparative PSA assays as follows: Access Hybritech ® PSA assay (Beckman<br />

Coulter, Inc.) using UniCel DxI 800 Access Immunoassay System; Architect ® Total<br />

PSA assay (Abbott Diagnostics Division) using Architect i2000 SR; cobas ® total PSA<br />

assay (Roche Diagnostics) using cobas e 601 analyzer. Data were analyzed using<br />

StatisPro TM version 2.00.00 (Analyses-it ® s<strong>of</strong>tware Ltd. and CLSI ® ).<br />

Results: Total CVs <strong>of</strong> <strong>the</strong> imprecision for low (0.19 ng/mL), medium (2.76 ng/<br />

mL), and high PSA levels (16.63 ng/mL) were 14.7%, 9.9%, and 8.9%, respectively.<br />

Linearity was observed from 1.10 to 18.87 ng/mL and hook phenomenon did not<br />

appear up to 171.48 ng/mL. The calculated LoD value was 0.094 ng/mL. In <strong>the</strong><br />

comparison study, <strong>the</strong> regression equations <strong>of</strong> <strong>the</strong> FREND PSA test (y) with Access<br />

Hybritech, Architect, and cobas PSA (y) were obtained as follows: y = -0.0169 +<br />

1.243*x (r=0.959), y = 0.4141 + 0.941*x (r=0.947), y = 0.0889 + 1.019*x (r=0.954),<br />

respectively. At a medical decision point <strong>of</strong> 4.0 ng/mL, <strong>the</strong> differences between<br />

FREND PSA and Architect PSA, and between FREND PSA and cobas PSA were<br />

0.592 ng/mL and 0.609 ng/mL, respectively, which were less than desirable (18.7%)<br />

specification for bias, while <strong>the</strong> FREND PSA was higher than Access Hybritech PSA<br />

by 1.50 ng/mL.<br />

Conclusions: The FREND PSA test showed a reliable performance and results<br />

overall comparable to those <strong>of</strong> 3 o<strong>the</strong>r widely accepted PSA assays. The test was a<br />

simple and rapid method for measuring PSA, suggesting that it has clinical benefit for<br />

point-<strong>of</strong>-care testing.<br />

B-71<br />

Development <strong>of</strong> an easy-to-use C-reactive protein (CRP) point-<strong>of</strong>-care<br />

test (POCT) for analysis from easily accessible capillary whole blood<br />

samples<br />

D. Schwanzar, J. Baumgaertner, M. Grimmler, T. Hektor. DiaSys GmbH,<br />

Holzheim, Germany<br />

Background: C-reactive protein (CRP) has been extensively studied and compared<br />

for its efficacy as a marker <strong>of</strong> inflammation and bacterial infection. In a point-<strong>of</strong>care<br />

setting, a serial monitoring <strong>of</strong> patients’ CRP-values is vital to patient outcomes.<br />

The optionally battery-assisted DiaSys InnovaStar® CRP IS® setup allows access<br />

to this information through a convenient and minimally-invasive capillary puncture<br />

even in remote rural settings. Assisting in antibiotic treatment decisions by ensuring<br />

easy access to a patient’s CRP value, InnovaStar CRP IS point-<strong>of</strong>-care-test (POCT)<br />

will help to protect against <strong>the</strong> mounting global problem <strong>of</strong> antibiotic resistance.<br />

The detection <strong>of</strong> untreated bacterial infections remains <strong>the</strong> primary cause <strong>of</strong> death<br />

<strong>of</strong> children below <strong>the</strong> age <strong>of</strong> 5. More than 90 % <strong>of</strong> <strong>the</strong>se deaths occur in <strong>the</strong> poorest<br />

countries <strong>of</strong> Asia and Africa.<br />

Objective: Development <strong>of</strong> a CRP POCT that additionally detects <strong>the</strong> hemoglobin<br />

concentration to calculate plasma corrected values, thus allowing <strong>the</strong> measurement <strong>of</strong><br />

CRP from easily accessible capillary whole blood samples.<br />

Methods: We developed a latex-enhanced immunoturbidimetric assay on <strong>the</strong> DiaSys<br />

InnovaStar POC analyzer and evaluated <strong>the</strong> results <strong>of</strong> whole-blood and plasma pairs.<br />

These were correlated to CRP plasma values from an automated clinical Hitachi 917<br />

analyzer. The performance characteristics were evaluated according to <strong>the</strong> CLSI<br />

guidelines which included analytical sensitivity, linearity, precision and accuracy.<br />

Results: For whole blood and plasma pairs we acquired <strong>the</strong> following results for <strong>the</strong><br />

CRP IS POCT:<br />

CRP IS showed a Limit <strong>of</strong> Blank (LoB) <strong>of</strong> 1.27 mg/L (CLSI EP17-A) and a Limit <strong>of</strong><br />

Quantitation (LoQ) <strong>of</strong> 2.76 mg/L (CLSI EP17-A). The upper limit <strong>of</strong> linearity was<br />

400 mg/L (R 2 =0.99) (CLSI EP06-A). At a plasma concentration <strong>of</strong> 5 (30) mg/L we<br />

established for whole blood a CV <strong>of</strong> 3.7 (3.1) % for repeatability and between-run and<br />

between-day CVs <strong>of</strong> below 2 % (CLSI EP05-A2). No prozone effect was observed<br />

for CRP concentrations <strong>of</strong> up to 1800 mg/L. A preliminary method comparison using<br />

Passing-Bablok regression (n=47) with a competing CRP POCT resulted in a slope <strong>of</strong><br />

1.0754 with an intercept <strong>of</strong> -2.24 (R 2 =0.98).<br />

Conclusions: Our results clearly demonstrated that <strong>the</strong> DiaSys InnovaStar CRP IS<br />

POC analyzer’s performance characteristics are comparable to a fully-automated<br />

clinical chemistry analyzer. The CRP IS is an easy-to-use POCT. Utilized in a point<strong>of</strong>-care<br />

setting, <strong>the</strong> emergency room, in rural and remote areas or for serial monitoring<br />

<strong>of</strong> patients it provides a substantial benefit for treatment decisions.<br />

B-72<br />

Enzymatic assays on whole blood for lysosomal storage diseases using<br />

a digital micr<strong>of</strong>luidic platform<br />

R. Sista 1 , T. Wang 1 , C. Graham 1 , N. Wu 1 , A. Eckhardt 1 , D. Millington 2 , D.<br />

Bali 2 , V. Pamula 1 . 1 Advanced Liquid Logic, Research Triangle Park, NC,<br />

2<br />

Duke University, Durham, NC<br />

Background: Lysosomal storage diseases (LSD) can benefit from early detection<br />

through newborn screening (NBS), and some states in <strong>the</strong> U.S. have started to screen<br />

newborns for LSDs. Current confirmatory diagnostic testing is performed using dried<br />

blood spots, skin fibroblasts or leukocytes prepared from whole blood. Performance<br />

<strong>of</strong> assays using leukocytes involves several manual steps, including centrifugation.<br />

We previously developed a fluorometric, multiplex enzymatic assay platform using<br />

digital micr<strong>of</strong>luidic technology to rapidly perform assays for Pompe, Fabry, Hunter,<br />

Gaucher, and Hurler diseases using a single DBS punch. In this work, we present<br />

performance <strong>of</strong> <strong>the</strong>se assays directly using whole blood, thus fully automating <strong>the</strong><br />

assays.<br />

Methods: Whole blood samples were prepared in-house under cGMP conditions by<br />

mixing different ratios <strong>of</strong> leukocyte reduced blood, unprocessed cord blood and heatinactivated,<br />

charcoal-stripped serum. Quality control samples included base (BP),<br />

low (L), medium (M) and high pools (H) with 0%, 5%, 50%, and 100% leukocytes<br />

respectively. These activity levels span affected, carrier and normal enzyme activity<br />

ranges for acid-α-glucosidase (GAA; Pompe), α-galactosidase (GLA; Fabry),<br />

glucocerebrosidase (GBA; Gaucher) and α-iduronidase (IDU; Hurler). Thirty-two<br />

samples for each level were analyzed for <strong>the</strong> aforementioned enzymes on <strong>the</strong> digital<br />

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Wednesday, July 31, 9:30 am – 5:00 pm<br />

micr<strong>of</strong>luidic platform with an incubation time <strong>of</strong> 1 hour. Once samples were loaded<br />

onto a cartridge, all subsequent assay steps including mixing, incubation, reaction<br />

quenching, and detection were performed within <strong>the</strong> digital micr<strong>of</strong>luidic cartridge.<br />

Results and Conclusion: Figure 1 illustrates <strong>the</strong> enzymatic activities for each level<br />

for GAA, GBA, GLA, and IDU. Enzymatic activities are reported in μmol/L/h; error<br />

bars represent standard deviation.<br />

There was good separation between each level for all enzymes. The ratio <strong>of</strong><br />

enzymatic activity between different levels was in good agreement with <strong>the</strong> amount<br />

<strong>of</strong> leukocytes. These results demonstrate feasibility <strong>of</strong> determining enzymatic activity<br />

for LSDs using whole blood and <strong>the</strong> digital micr<strong>of</strong>luidic platform.<br />

B-73<br />

Preclinical development <strong>of</strong> a disposable, instrument free device for<br />

measuring hematocrit<br />

S. P. Tyrrell, D. Kingston, B. Vant-Hull, S. Webb. IntraMed Diagnostics,<br />

LLC, Blue Earth, MN<br />

AnemiaCheck is a new disposable, instrument free device for measuring hematocrit<br />

(Packed Cell Volume) from capillary or venous blood. The hematocrit test result is<br />

easily determined by <strong>the</strong> user, and is similar to reading a <strong>the</strong>rmometer. The device<br />

combines precise geometries and tight fluidic control to magnify <strong>the</strong> lateral separation<br />

<strong>of</strong> blood cells from plasma using traditional glass fiber filters. The WHO estimates<br />

that anemia affects 1.6 billion people worldwide. Early diagnosis and treatment <strong>of</strong><br />

anemia holds <strong>the</strong> promise <strong>of</strong> preventing or reducing <strong>the</strong> incidence <strong>of</strong> a variety <strong>of</strong><br />

serious medical complications.<br />

Methods: The shape <strong>of</strong> <strong>the</strong> indicator strip, comprised <strong>of</strong> a narrow central resolving<br />

region and wider ends provides for analytical resolution. The resolution is proportional<br />

to <strong>the</strong> ratio <strong>of</strong> <strong>the</strong> total area <strong>of</strong> <strong>the</strong> strip to <strong>the</strong> width <strong>of</strong> <strong>the</strong> indicator region. The<br />

analytical range is determined by <strong>the</strong> length and width <strong>of</strong> <strong>the</strong> resolving region and<br />

<strong>the</strong> relative areas <strong>of</strong> <strong>the</strong> two ends <strong>of</strong> <strong>the</strong> strip. The test strip also includes a dye at <strong>the</strong><br />

distal end that changes color when saturated with blood plasma, thus indicating <strong>the</strong><br />

test endpoint. The indicator strip is contained in a laminated assembly that precisely<br />

controls blood movement within <strong>the</strong> device. This assembly ensures that <strong>the</strong> test only<br />

begins when sufficient blood has been added and is insensitive to additional blood<br />

making sample volume control unnecessary. Test timing is not needed. Once <strong>the</strong><br />

indicator strip is saturated by blood, approximately 15 minutes in <strong>the</strong> current design,<br />

fur<strong>the</strong>r flow stops. This produces a stable endpoint permitting <strong>the</strong> test result to be read<br />

anytime <strong>the</strong>reafter. Manufacturing methods utilize automated, high throughput servo<br />

controlled converting presses enabling high precision with low manufacturing costs.<br />

Results: The current design shows an analytical range <strong>of</strong> 15% - 41% hematocrit<br />

(Hct.). A developmental assessment <strong>of</strong> accuracy, comparing <strong>the</strong> AnemiaCheck to<br />

spun hematocrit test results using 34 EDTA venous blood samples yielded a slope =<br />

0.97, y intercept = 0.62, R 2 = 0.96 and a 95% CI <strong>of</strong> (+/-) 4.2% Hct. This assessment<br />

used two devices per sample to estimate precision; <strong>the</strong> average %CV was 3.4%.<br />

Two samples, 18% Hct. and 35% Hct. were measured on 10 devices each to assess<br />

within-run precision, results were %CV = 4.1% and %CV = 2.1% respectively. A<br />

temperature study (range 10°C - 45°C) was performed to assess <strong>the</strong> impact <strong>of</strong> ambient<br />

temperature on results. Two Hct. levels, 18% and 35% were evaluated. Results were<br />

within (+/-) 3% Hct. between 18°C - 45° C with a clear bias towards under estimation<br />

at temperatures 15°C and below.<br />

Conclusions: The AnemiaCheck device only requires <strong>the</strong> user to place approximately<br />

two drops <strong>of</strong> blood in <strong>the</strong> area indicated; <strong>the</strong> remainder <strong>of</strong> <strong>the</strong> process is automatic and<br />

will be a valuable tool for detecting and monitoring anemia in <strong>the</strong> developing world,<br />

in low resource settings and for patient self-testing.<br />

B-74<br />

An Optimal Approach to Selecting <strong>the</strong> Appropriate Cut<strong>of</strong>f for Platelet<br />

Function Tests<br />

J. R. Dahlen 1 , S. S. Brar 2 . 1 Accumetrics, Inc., San Diego, CA, 2 Kaiser<br />

Permanente, Los Angeles, CA<br />

Background: Various platelet function tests (PFT) have been described for <strong>the</strong>ir<br />

ability to identify patients at increased risk for future cardiovascular events. The<br />

association between on-treatment platelet reactivity and incidence <strong>of</strong> cardiovascular<br />

events is largely attributed to <strong>the</strong> level <strong>of</strong> pharmacodynamic effect <strong>of</strong> <strong>the</strong> antiplatelet<br />

medication. The optimal cut<strong>of</strong>f for describing <strong>the</strong> prognostic utility <strong>of</strong> PFT has been<br />

frequently determined through ROC analysis and selection <strong>of</strong> <strong>the</strong> cut<strong>of</strong>f with <strong>the</strong><br />

highest J statistic. This approach has resulted in variability in <strong>the</strong> reported “optimal”<br />

cut<strong>of</strong>f. The objective <strong>of</strong> this study was to evaluate <strong>the</strong> variability in “optimal” cut<strong>of</strong>f<br />

selection based on ROC curve analysis <strong>of</strong> a prognostic evaluation (Px) dataset<br />

compared to a diagnostic evaluation (Dx) dataset.<br />

Methods: A dataset comprised <strong>of</strong> naïve and on-treatment PRU measurements from<br />

147 subjects was used for <strong>the</strong> Dx dataset. ROC<br />

analysis was used to characterize <strong>the</strong> ability <strong>of</strong> <strong>the</strong> PRU result to distinguish ontreatment<br />

samples from naïve samples after pooling <strong>the</strong> naïve and on-treatment PRU<br />

results. A dataset comprised <strong>of</strong> on-treatment PRU measurements form 3059 subjects<br />

was used for <strong>the</strong> Px dataset. ROC analysis was used to characterize <strong>the</strong> ability <strong>of</strong> <strong>the</strong><br />

PRU result to distinguish subjects that had a future cardiovascular event from those<br />

that remained event-free during long-term followup. The J statistic was determined<br />

for each cut<strong>of</strong>f according to <strong>the</strong> formula J = sensitivity+specificity-1, and <strong>the</strong> standard<br />

deviation (SD) <strong>of</strong> <strong>the</strong> J statistic was calculated for each cut<strong>of</strong>f. A 2xSD range was<br />

used to describe <strong>the</strong> bounds <strong>of</strong> <strong>the</strong> J statistic. Uncertainty in cut<strong>of</strong>f selection for each<br />

dataset was described by determining <strong>the</strong> range <strong>of</strong> PRU cut<strong>of</strong>fs where <strong>the</strong> upper bound<br />

<strong>of</strong> <strong>the</strong> J statistic was greater than <strong>the</strong> J statistic for <strong>the</strong> optimal cut<strong>of</strong>f. To neutralize<br />

<strong>the</strong> effect <strong>of</strong> differences in sample size and <strong>the</strong> associated differences in average SD,<br />

<strong>the</strong> uncertainty analyses was repeated using a fixed variability <strong>of</strong> 0.05 in <strong>the</strong> J statistic<br />

at <strong>the</strong> optimal cut<strong>of</strong>f, representing a 5% absolute difference in <strong>the</strong> combination <strong>of</strong><br />

sensitivity and specificity.<br />

Results:The J statistic range for <strong>the</strong> Px dataset was 0-0.192, compared to a 0-0.769<br />

range for <strong>the</strong> Dx dataset. The range <strong>of</strong> PRU cut<strong>of</strong>fs with a J statistic upper bound<br />

greater than <strong>the</strong> “optimal” cut<strong>of</strong>f J statistic was 160-271 for <strong>the</strong> Px dataset compared<br />

to 182-266 for <strong>the</strong> Dx dataset. When imposing a fixed variability <strong>of</strong> 0.05 units to <strong>the</strong><br />

J statistic, <strong>the</strong> range <strong>of</strong> PRU cut<strong>of</strong>fs with a J statistic upper bound greater than <strong>the</strong><br />

“optimal” cut<strong>of</strong>f J statistic was 167-261 for <strong>the</strong> Px dataset compared to 196-260 for<br />

<strong>the</strong> Dx dataset.<br />

Conclusion: The use <strong>of</strong> datasets evaluating prognostic performance introduces<br />

greater uncertainty in optimal cut<strong>of</strong>f selection compared to datasets evaluating<br />

diagnostic performance. This uncertainty is largely attributed to differences in<br />

<strong>the</strong> range <strong>of</strong> <strong>the</strong> J statistic, which is typically much lower for datasets evaluating<br />

prognostic performance. Cut<strong>of</strong>f selection for PFT should be performed based on<br />

diagnostic performance for detecting <strong>the</strong> drug effect and <strong>the</strong> diagnostic cut<strong>of</strong>f should<br />

be validated on <strong>the</strong> basis <strong>of</strong> prognostic performance.<br />

B-75<br />

Neonatal Blood Measurement using <strong>the</strong> i-STAT Portable Clinical<br />

Analyzer<br />

S. Kittanakom 1 , N. Squires 2 , C. M. Balion 1 . 1 Department <strong>of</strong> Pathology and<br />

Molecular Medicine, McMaster University, Hamilton, ON, Canada, 2 St.<br />

Joseph’s Healthcare Hamilton, Hamilton, ON, Canada<br />

Background: Neonatal transport is responsible for <strong>the</strong> care and transport <strong>of</strong> critically<br />

ill infants. The need for blood gas analysis and electrolyte measurements by point<br />

<strong>of</strong> care testing is important for neonatal patients during transport. The objective <strong>of</strong><br />

this study was to compare <strong>the</strong> analytical performance <strong>of</strong> <strong>the</strong> i-STAT CG4 and CG8<br />

cartridges to <strong>the</strong> GEM Premier 4000 blood gas analyzer using neonatal blood.<br />

Methods: Eighty neonatal blood samples were collected from patients in <strong>the</strong><br />

neonatal intensive care unit. Two capillary samples (125 uL) were drawn to obtain<br />

sufficient sample to analyze on <strong>the</strong> i-STAT (Abbott Point <strong>of</strong> Care) and <strong>the</strong> GEM 4000<br />

(Instrument Laboratory). The CG4 cartridge measures pH, pCO2, pO2, lactate, and<br />

<strong>the</strong> CG8 cartridge measures pH, pCO2, pO2, Na, K, iCa, glucose, and hematocrit<br />

(Hct). To evaluate Hct, we obtained <strong>the</strong> results from EDTA blood that were analyzed<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A191


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

by <strong>the</strong> Beckman Coulter LH750 hematology analyzer. The total allowable error (TEa)<br />

was obtained from Ontario’s Quality Management Program-Laboratory Services<br />

(QMP-LS). Data were analyzed using <strong>the</strong> Method Validation s<strong>of</strong>tware Analyze-it.<br />

Results: Comparative results between <strong>the</strong> i-STAT and GEM 4000 are summarized<br />

in <strong>the</strong> Table. Although <strong>the</strong> biases were small is most cases, <strong>the</strong> overall spread <strong>of</strong> data<br />

indicated by <strong>the</strong> 95% limits <strong>of</strong> agreement exceeded <strong>the</strong> performance goals for all tests<br />

(CG4 and CG8).<br />

Test n Range Bias, % 95% Limits <strong>of</strong> Agreement TEa Goal Met<br />

CG4<br />

pH 41 7.23 to 7.49 0.007* -0.06 to 0.0771 0.03* No<br />

pCO2 41 25.0 to 84.0 -0.30% -42.80 to 42.1 9 No<br />

pO2 42 28.0 to 88.0 -1.60% -32.00 to 28.9 15 No<br />

Lactate 40 0.6 to 2.60 1.30% -37.30 to 39.8 10 No<br />

CG8<br />

pH 39 7.22 to 7.47 0.0127* -0.03 to 0.0598 0.03* No<br />

pCO2 39 25.0 to 67.0 3.80% -9.50 to 17.1 9 No<br />

pO2 39 27.0 to 86.0 -2.20% -41.70 to 37.2 15 No<br />

Na 30 125.0 to 143.0 3.4* -1.00 to 7.8 4* No<br />

K 29 2.6 to 9.10 0.70% -26.10 to 27.5 6 No<br />

iCa 38 0.99 to 1.43 0.10% -10.50 to 4.5 7 No<br />

Glucose 39 1.9 to 7.5 0.01 -7.30 to 9.2 7.5 No<br />

Hct 39 0.224 to 0.683 1.20% -9.00 to 11.4 7* No<br />

* Absolute value<br />

Conclusions: The accuracy <strong>of</strong> <strong>the</strong> i-STAT CG4 and CG8 cartridges using neonatal<br />

blood was higher than our preset performance goals. Despite this limitation <strong>the</strong>y were<br />

considered fit for purpose for <strong>the</strong> needs <strong>of</strong> neonatal transport.<br />

B-76<br />

First European Performance Evaluation <strong>of</strong> <strong>the</strong> VerifyNow II Syste<br />

T. Godschalk 1 , T. O. Bergmeijer 1 , J. R. Dahlen 2 , M. Kühbauch 2 , C. M.<br />

Hackeng 1 , J. M. ten Berg 1 . 1 St. Antonius Hospital, Nieuwegein, Ne<strong>the</strong>rlands,<br />

2<br />

Accumetrics, Inc., San Diego, CA<br />

Background: The VerifyNow System has been well-characterized for its ability to<br />

provide accurate and rapid information about <strong>the</strong> antiplatelet effect <strong>of</strong> aspirin and<br />

P2Y12 inhibitors such as clopidogrel, prasugrel and ticagrelor. The results from <strong>the</strong><br />

VerifyNow Aspirin Test and VerifyNow P2Y12 Test have been clinically validated to<br />

identify patients at increased risk for thrombosis and bleeding on <strong>the</strong> basis <strong>of</strong> <strong>the</strong>ir<br />

platelet reactivity. The VerifyNow II System is a next-generation test system that uses<br />

<strong>the</strong> same reagents as <strong>the</strong> VerifyNow System, but incorporates several new features to<br />

improve <strong>the</strong> user experience, including <strong>the</strong> ability to use various commonly-used blood<br />

collection tubes and a reduced sample wait time prior to performing measurements <strong>of</strong><br />

response to aspirin <strong>the</strong>rapy. The objectives for this study were 1) to show equivalence<br />

between <strong>the</strong> VerifyNow II System results and <strong>the</strong> VerifyNow System results, 2) to<br />

demonstrate <strong>the</strong> suitability <strong>of</strong> alternative blood collection tubes, and 3) to evaluate <strong>the</strong><br />

blood sample wait time prior to performing <strong>the</strong> VerifyNow II Aspirin Test.<br />

Methods: A total <strong>of</strong> 23 subjects receiving treatment with a P2Y12 inhibitor and<br />

aspirin were enrolled. All testing was performed according to <strong>the</strong> manufacturer’s<br />

instructions. Results obtained from <strong>the</strong> VerifyNow II Aspirin and P2Y12 Tests were<br />

compared to results from <strong>the</strong> same samples tested with <strong>the</strong> VerifyNow Aspirin and<br />

P2Y12 Tests. Evaluation <strong>of</strong> alternative blood collection tubes was performed using<br />

<strong>the</strong> VerifyNow System-recommended Greiner Bio-One partial fill Vacuette tube<br />

compared to <strong>the</strong> standard BD Vacutainer blood collection tube with 1.8 cc and 4.5 cc<br />

fill volume. All blood collection tubes contained 3.2% sodium citrate. The sample wait<br />

time prior to VerifyNow II Aspirin testing was evaluated by comparing VerifyNow II<br />

Aspirin measurements performed after a 30 minute waiting period (as required with<br />

<strong>the</strong> VerifyNow Aspirin Test) to measurements performed after a 10-15 minute waiting<br />

period. Data were analyzed using linear regression and Lin’s concordance correlation<br />

coefficient.<br />

Results: PRU, % inhibition, and ARU results obtained with <strong>the</strong> VerifyNow II System<br />

were equivalent to <strong>the</strong> VerifyNow P2Y12 System, with Lin’s concordance correlation<br />

coefficients <strong>of</strong> 0.98, 0.96, and 0.96, respectively. VerifyNow II System PRU, %<br />

inhibition, and ARU results obtained with standard blood collection tubes were<br />

equivalent to partial-fill blood collection tubes, with Lin’s concordance correlation<br />

coefficients <strong>of</strong> 0.97, 0.94, and 0.98, respectively. There was no difference between<br />

1.8 cc and 4.5 cc fill volumes for <strong>the</strong> standard blood collection tubes. VerifyNow II<br />

Aspirin results obtained after a 10-15 minute sample wait time were equivalent to<br />

results obtained after a 30 minute wait time (Lin’s r = 0.95).<br />

Conclusion: The results <strong>of</strong> this investigation confirm that <strong>the</strong> VerifyNow II System<br />

produces results that are equivalent to <strong>the</strong> original VerifyNow System, with <strong>the</strong> added<br />

benefits <strong>of</strong> allowing use <strong>of</strong> standard blood collection tubes and a reduced sample wait<br />

time prior to VerifyNow II Aspirin testing.<br />

B-77<br />

Comparison <strong>of</strong> whole blood and serum creatinine and estimated<br />

glomerular filtration rate for screening <strong>of</strong> at-risk patients prior to<br />

radiographic procedures<br />

C. Botz, L. Sorenson, B. Karon. Mayo Clinic - Rochester, Rochester, MN<br />

Background: To prevent contrast-induced renal damage, serum or whole blood<br />

creatinine and estimated glomerular filtration rate (eGFR) are commonly measured<br />

prior to contrast enhanced radiologic examinations. In this study we measured<br />

correlation in creatinine values and concordance in eGFR between two whole blood<br />

creatinine methods and a serum enzymatic creatinine assay, used as <strong>the</strong> reference<br />

method.<br />

Methods: In our practice both iSTAT1 (Abbott Point <strong>of</strong> Care, Princeton NJ) and<br />

Radiometer 827 (Radiometer, Bronshoj Denmark) whole blood creatinine methods<br />

are used to screen at-risk patients for renal disease prior to radiological examinations.<br />

We retrospectively obtained all iSTAT1 and Radiometer 827 whole blood creatinine<br />

results performed on <strong>the</strong> same day <strong>of</strong> service as a serum creatinine for <strong>the</strong> period<br />

January 1- December 31, 2011. All serum creatinine measurements were performed<br />

with <strong>the</strong> Roche enzymatic creatinine assay on a Roche Cobas C-501analyzer (Roche<br />

Diagnostics, Indianapolis IN). Creatinine value, patient age and gender were utilized<br />

to calculate eGFR via <strong>the</strong> Modification <strong>of</strong> Diet in Renal Disease (MDRD) formula.<br />

Whole blood creatinine/eGFR was compared to reference serum values by mean<br />

(SD) bias, percent <strong>of</strong> whole blood creatinine values within 0.2 mg/dL <strong>of</strong> serum value,<br />

and concordance <strong>of</strong> eGFR around cut-<strong>of</strong>fs <strong>of</strong> < 60 and < 30 mL/min/1.73m 2 used for<br />

radiology screening.<br />

Results: Mean bias (SD) between Radiometer whole blood and Roche enzymatic<br />

serum creatinine was <strong>of</strong> -0.06 ± 0.13 mg/dL among <strong>the</strong> 3244 patients (1400 female,<br />

1844 male) with values on <strong>the</strong> same day <strong>of</strong> service. Mean (SD) bias between iSTAT<br />

whole blood and Roche enzymatic creatinine was 0.03 ± 0.13 mg/dL for <strong>the</strong> 2042<br />

patients (1013 female, 1028 male) with same day measurement. 3039 <strong>of</strong> 3244 (94%)<br />

Radiometer whole blood creatinine values were within 0.2 mg/dL <strong>of</strong> <strong>the</strong> serum<br />

enzymatic value; while 96% (1960/2042) <strong>of</strong> iSTAT creatinine values were within 0.2<br />

mg/dL <strong>of</strong> serum values. Sensitivity <strong>of</strong> <strong>the</strong> Radiometer for detection <strong>of</strong> serum eGFR<br />

< 30 mL/min/1.73 m 2 was 90% (26/29); while <strong>the</strong> iSTAT detected 86% (12/14) <strong>of</strong><br />

patients with serum eGFR < 30 mL/min/1.73 m 2 . The sensitivity <strong>of</strong> Radiometer eGFR<br />

for detection <strong>of</strong> serum eGFR < 60 mL/min/1.73m 2 was 74% (520/703). The specificity<br />

<strong>of</strong> Radiometer eGFR for prediction <strong>of</strong> serum enzymatic eGFR ≥ 60 ml/min/1.73m 2<br />

was 99% (2517/2541). Overall concordance <strong>of</strong> Radiometer to serum eGFR around<br />

a cut-<strong>of</strong>f <strong>of</strong> 60 mL/min/1.73m 2 was 94% (3037/3244). Both <strong>the</strong> sensitivity and<br />

specificity <strong>of</strong> <strong>the</strong> iSTAT for prediction <strong>of</strong> serum eGFR < 60 and ≥ 60 were 93%.<br />

Overall concordance <strong>of</strong> iSTAT whole blood eGFR classification around a cut-<strong>of</strong>f <strong>of</strong><br />

60 mL/min/1.73m 2 was 94% (1915/2042).<br />

Conclusion: Both Radiometer and iSTAT whole blood creatinine methods correlate<br />

well with Roche serum enzymatic creatinine. Concordance <strong>of</strong> whole blood to serum<br />

eGFR is good (94%) with both methods when <strong>the</strong> common screening cut-<strong>of</strong>f <strong>of</strong> 60 mL/<br />

min/1.73m 2 is used. The iSTAT demonstrated better sensitivity, and <strong>the</strong> Radiometer<br />

better specificity, for prediction <strong>of</strong> abnormal Roche serum eGFR.<br />

B-78<br />

Optical Slide for Metabolic Snapshot using a Drop <strong>of</strong> blood at <strong>the</strong><br />

Point-<strong>of</strong>-Care<br />

P. Ahuja 1 , M. Peshkova 2 , M. Gratzl 1 . 1 Case Western Reserve University,<br />

Cleveland, OH, 2 St. Petersburg State University, St. Petersburg, Russian<br />

Federation<br />

Background: The metabolic status <strong>of</strong> critically ill patients in <strong>the</strong> intensive care unit<br />

(ICU) is <strong>of</strong> critical importance and requires frequent monitoring. Tests done outside<br />

<strong>of</strong> <strong>the</strong> ICU with slow turnaround may cause undesirable patient outcomes. Numerous<br />

disposable test strips required for patient care increase already high costs <strong>of</strong> care in<br />

<strong>the</strong> ICU. We have developed a low-cost, reusable optical slide to provide a metabolic<br />

snapshot <strong>of</strong> multiple parameters at <strong>the</strong> point-<strong>of</strong>-care from a single drop <strong>of</strong> blood. The<br />

slide incorporates optode-based sensing zones that change color according to <strong>the</strong><br />

concentrations <strong>of</strong> <strong>the</strong> respective analytes. Results can be read by <strong>the</strong> naked eye, or<br />

digitally with an inexpensive reader.<br />

Methods: pH sensors: pH-sensitive optode membranes were prepared by mixing<br />

PVC:DOS (mass ratio 1:2) and adding 25mmol chromoionophore (L), 100 mmol<br />

sodium ionophore (NaIV), and 27.5 mmol HFPB, and finally dissolving <strong>the</strong>m in<br />

THF. 0.3μL <strong>of</strong> this solution was cast into designated sensing wells. Glucose sensors:<br />

A192 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


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Wednesday, July 31, 9:30 am – 5:00 pm<br />

0.3μL pH-sensitive membranes were cast into designated sensing wells. To introduce<br />

glucose oxidase, GOX, to <strong>the</strong> sensing layer, GOX was immobilized above <strong>the</strong> pH<br />

optodes. Reference spots: Reference wells were filled with Titanium dioxide: PVC<br />

films to provide a uniform white color. Protective membrane and sample holder:<br />

HEMA membranes, 7 μm thick, were polymerized using UV exposure and placed<br />

on <strong>the</strong> substrate, covering <strong>the</strong> sensing wells. PMMA slabs with holes were placed on<br />

top, attached to <strong>the</strong> substrate. pH and glucose calibrations: sensors were exposed to<br />

solutions <strong>of</strong> various pH and glucose concentration to determine <strong>the</strong> color response<br />

and response time <strong>of</strong> <strong>the</strong> slide. Sodium interference studies: pH-sensitive optodes<br />

were tested to determine pH response with different sodium concentrations in PBS.<br />

Image acquisition and analysis: Images <strong>of</strong> <strong>the</strong> slide were acquired using a low-cost<br />

monochrome camera with Red, Green, and Blue LED light sources. ImageJ s<strong>of</strong>tware<br />

was used to measure RGB spectral components <strong>of</strong> <strong>the</strong> individual sensing and reference<br />

wells. Each sensing capsule was <strong>the</strong>n normalized to <strong>the</strong> reference capsule, followed by<br />

Pythagorean normalization.<br />

Results: Red and blue intensity color response <strong>of</strong> pH sensing wells in PBS, serum,<br />

and blood, with resolution <strong>of</strong> 0.08 pH units were achieved. Response times for pH<br />

changes ranged from 4 to 12 minutes, varying with <strong>the</strong> different pH change measured.<br />

Reversibility <strong>of</strong> sensors to pH changes showed minimal hysteresis. Glucose response<br />

in PBS and blood was shown to be linear between 0 – 200 mg/dl using two sensing<br />

wells with different chromoionophore:NaIV ratios <strong>of</strong> <strong>the</strong> pH-sensitive optode layer.<br />

Examining ratios <strong>of</strong> Red/Blue intensities increased <strong>the</strong> dynamic range. Sodium<br />

interference studies showed that <strong>the</strong>re is minimal sodium interference <strong>of</strong> pH-sensitive<br />

optode in <strong>the</strong> pH range <strong>of</strong> 5.5-8.0.<br />

Conclusion: Utilizing a single reusable slide for multiple screenings for <strong>the</strong> same<br />

patient makes <strong>the</strong> device more cost-effective than commercial devices, and improves<br />

compliance for disease management. The device is ideally suited for both developed<br />

and developing economies. In a pilot clinical trial in <strong>the</strong> ICU, <strong>the</strong> performance <strong>of</strong><br />

<strong>the</strong> proposed tester compared favorably with parallel results obtained in <strong>the</strong> central<br />

clinical lab.<br />

B-79<br />

A SPE-HPLC-MS/MS Method for Measuring Steroids in Human<br />

Plasma<br />

X. Zang, I. Gavin, A. Oroskar, A. Oroskar. Orochem Technologies Inc.,<br />

Lombard, IL<br />

Background: Steroid hormones are produced by human body, and <strong>the</strong>y play key<br />

roles in <strong>the</strong> development <strong>of</strong> reproductive tissues (like testosterone, progesterone,<br />

and estradiol), or in <strong>the</strong> regulation <strong>of</strong> ions /water absorption (aldosterone). Plasma<br />

or serum levels <strong>of</strong> <strong>the</strong>se steroids are measured in <strong>the</strong> clinical laboratory to detect<br />

disorders associated with steroid hormone imbalance.<br />

Steroids are used as drugs to cure certain disorders, and <strong>the</strong>y are also used by some<br />

athletes as performance enhancement drugs, such as prednisolone and testosterone.<br />

Regular testing <strong>of</strong> <strong>the</strong>se types <strong>of</strong> steroids is also required in <strong>the</strong> clinical laboratory.<br />

HPLC-MS/MS is replacing immunoassays for detecting steroids in patient samples.<br />

It requires a selective sample preparation method. In this study, we developed a solid<br />

phase extraction (SPE)-HPLC-MS/MS method for detecting six steroids (Aldosterone,<br />

Prednisolone, Corticosterone, Progesterone, Testosterone, and Estradiol) in human<br />

plasma.<br />

Methods: We chose six steroids with different polarity range to develop a selective<br />

and sensitive assay. We tested several different extraction methods.<br />

Initially we used liquid-liquid extraction (LLE) method with hexane or<br />

dichloromethane as extraction solvents. One hundred microliters <strong>of</strong> plasma samples<br />

were extracted with 300 μL <strong>of</strong> organic solvents, after vortexing and centrifuging, <strong>the</strong><br />

organic solvent layer was extracted and evaporated.<br />

We also tested SPE methods with two different types <strong>of</strong> polymer SPE cartridges,<br />

different types <strong>of</strong> wash solvents and elute solvents. The goal <strong>of</strong> our test is to find a<br />

relative easy procedure with high recovery and precision. 100 μL <strong>of</strong> plasma samples<br />

were used for SPE. Samples were loaded directly to SPE cartridges (Celerity Deluxe<br />

or Sagacity HL ), and washed with 10-30% acetonitrile. Analytes were eluted from<br />

cartridges ei<strong>the</strong>r by acetonitrile, methanol, hexane, or dichloromethane.<br />

We developed a HPLC-MS/MS method to separate and detect six steroids in plasma<br />

extract. Extracted sample was separated by Reliasil C18 HPLC column, with gradient<br />

mobile phase starting from 25% to 75% acetonitrile in 0.1% formic acid. Total run<br />

time was 8 minutes. Analytes were detected by multiple reaction monitoring using<br />

API3000 mass spectrometer equipped with <strong>the</strong> Turbo Ionspary ion source. Every<br />

analyte was detected with both quantifier ions and qualifier ions.<br />

Results: Currently, many labs use LLE method (ei<strong>the</strong>r using hexane or dichloromethane<br />

) to extract steroids. We compared our SPE method with LLE method. SPE method<br />

gave better recovery.<br />

In LLE experiments, hexane extract gave less matrix effect than dichloromethane,<br />

however, dichloromethane extract gave better recovery, recoveries <strong>of</strong> all six steroids<br />

were in <strong>the</strong> range <strong>of</strong> 56-81%.<br />

Between two types <strong>of</strong> SPE cartridges, Celerity Deluxe SPE cartridges gave better<br />

recovery. Aldosterone couldn’t retain on <strong>the</strong> cartridge with 30% acetonitrile as<br />

wash solvent. So, we chose 20% ACN as wash solvent. Regarding elute solvents,<br />

acetonitrile gave <strong>the</strong> best overall recovery. Using Celerity Deluxe SPE cartridges,<br />

recoveries for five steroids (excluding aldosterone) were in <strong>the</strong> range <strong>of</strong> 99% to 106%,<br />

with <strong>the</strong> precision range from 7-9%. Recovery for aldosterone is 87% with 17%<br />

variation (without internal standard).<br />

Conclusion: We developed a SPE-HPLC-MS/MS to analyze six steroids in human<br />

plasma, which gave better recovery and precision than traditionally used LLE method.<br />

B-80<br />

The Real World Relationship Between VerifyNow PRU and Device-<br />

Reported Percent Inhibition: Analysis from <strong>the</strong> GRAVITAS Trial<br />

J. R. Dahlen 1 , M. J. Price 2 . 1 Accumetrics, Inc., San Diego, CA, 2 Scripps<br />

Clinic, San Diego, CA<br />

Background: The VerifyNow P2Y12 Test is a rapid, point-<strong>of</strong>-care platelet function<br />

test that has been extensively validated as a tool for measuring <strong>the</strong> antiplatelet effect<br />

<strong>of</strong> P2Y12 receptor inhibitors. The VN P2Y12 Test reports results as P2Y12 Reaction<br />

Units (PRU) and device-reported percent inhibition <strong>of</strong> platelet reactivity (%I),<br />

based on using thrombin receptor-induced platelet aggregation as a substitute for a<br />

baseline, P2Y12 inhibitor naïve PRU result. The PRU result is highly specific for<br />

P2Y12 receptor blockade due to <strong>the</strong> effect <strong>of</strong> a P2Y12 inhibitor and is an absolute<br />

measure <strong>of</strong> <strong>the</strong> drug effect. The %I result is a relative measure <strong>of</strong> <strong>the</strong> drug effect<br />

because <strong>the</strong> absolute effect is normalized using baseline, thrombin-receptor induced<br />

platelet aggregation. PRU results have been clinically validated to identify patients at<br />

increased risk for thrombosis and bleeding due to <strong>the</strong> presence <strong>of</strong> a P2Y12 inhibitor<br />

antiplatelet effect. %I results have been clinically validated to correlate to a return<br />

to baseline platelet function following P2Y12 inhibitor cessation. The relationship<br />

between <strong>the</strong>se two results has not been extensively described. The objectives for this<br />

study were to 1) compare <strong>the</strong> actual relationship <strong>of</strong> PRU and %I results to a model<br />

based on true baseline platelet reactivity and 2) determine <strong>the</strong> agreement <strong>of</strong> PRU and<br />

&I results at published clinical decision points.<br />

Methods: Matched PRU and %I results were evaluated using measurements obtained<br />

from <strong>the</strong> GRAVITAS trial. A total <strong>of</strong> 10,375 VerifyNow P2Y12 Test measurements<br />

from 5,429 subjects were used for <strong>the</strong> analysis. The manufacturer-reported 95%<br />

confidence interval PRU reference range <strong>of</strong> baseline platelet reactivity (194-418)<br />

represents <strong>the</strong> range <strong>of</strong> PRU results when <strong>the</strong> “true” %I is 0%. A PRU result <strong>of</strong> 0 is <strong>the</strong><br />

expected result when “true” %I is 100%. Taken toge<strong>the</strong>r, a model for <strong>the</strong> relationship<br />

<strong>of</strong> PRU and %I was constructed using an inferred range <strong>of</strong> PRU results at each level<br />

<strong>of</strong> “true” %I. Because <strong>the</strong> reference range is <strong>the</strong> 95% confidence interval <strong>of</strong> baseline<br />

PRU results, <strong>the</strong> model is <strong>the</strong>refore a prediction <strong>of</strong> <strong>the</strong> relationship between PRU and<br />

%I for at least 95% <strong>of</strong> <strong>the</strong> observations. The percent <strong>of</strong> actual measurements that were<br />

in agreement with <strong>the</strong> model was determined, and <strong>the</strong> agreement <strong>of</strong> results using PRU<br />

< 208 and %I > 20% cut<strong>of</strong>fs also was determined.<br />

Results: 96.8% <strong>of</strong> <strong>the</strong> matched PRU and %I results were within <strong>the</strong> <strong>the</strong>oretical model,<br />

which was within <strong>the</strong> expected >95% <strong>of</strong> results. The PRU > 208 cut<strong>of</strong>f reported<br />

to define high on-treatment platelet reactivity was 95% specific for <strong>the</strong> %I < 20%<br />

reported to define a baseline platelet function.<br />

Conclusion: The results <strong>of</strong> this investigation confirm <strong>the</strong>re <strong>the</strong> PRU and devicereported<br />

%I results from <strong>the</strong> VerifyNow P2Y12 Test are highly correlated and are<br />

consistent with a prediction model <strong>of</strong> <strong>the</strong>ir relationship. These observations suggest<br />

that device-reported %I is an acceptable surrogate for true percent inhibition calculated<br />

from a pre-drug and on treatment PRU result. In addition, <strong>the</strong> results indicate that<br />

<strong>the</strong>re is consistency between <strong>the</strong> clinically validated PRU and device-reported %I<br />

decision points.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Wednesday, July 31, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

B-81<br />

An Implementation <strong>of</strong> <strong>the</strong> Quality Control Assessment Program <strong>of</strong><br />

Point <strong>of</strong> Care Glucose Testing at Primary Care Units by Using Whole<br />

Blood Control Samples<br />

W. Treebuphachatsakul 1 , W. Theansun 2 , R. Maneemaroj 2 . 1 Point <strong>of</strong> Care<br />

Testing Unit for Training, Research, and Technology Development, Faculty<br />

<strong>of</strong> Allied Health Sciences, Naresuan University, Phitsanulok, Thailand,<br />

Phitsanulok, Thailand, 2 Department <strong>of</strong> Medical Technology, Faculty <strong>of</strong><br />

Allied Health Sciences, Naresuan University, Phitsanulok, Thailand,<br />

Phitsanulok, Thailand<br />

Background: Point <strong>of</strong> care (POC) glucose testing was used <strong>the</strong> most at primary care<br />

unit (PCU) in Thailand. However, <strong>the</strong> policy <strong>of</strong> quality control (QC) for point <strong>of</strong> care<br />

testing (POCT) in Thailand has not been unclear. This study was first to introduce <strong>the</strong><br />

Quality Assessment Program (QAP) for POC glucose testing at PCU by using whole<br />

blood samples as control samples.<br />

Methods: QC whole blood samples was treated with glyceraldehydes and prepared<br />

for low, medium, and high glucose concentrations at Point <strong>of</strong> Care Testing Unit for<br />

Training, Research, Technology Development, Faculty <strong>of</strong> Allied Health Sciences,<br />

Naresuan University, Thailand. All samples were aliquot 0.5 mL into microtubes and<br />

kept in refrigerator until used. All QC whole blood samples were sent out to our health<br />

care members including District Health Promoting Hospitals and primary care units.<br />

The QC samples were tested for blood glucose within 12 hours after preparations. All<br />

participants performed QC once per month from August to October. The statistical<br />

standard deviation index (SDI) <strong>of</strong> blood glucose was calculated. Mean <strong>of</strong> glucose <strong>of</strong><br />

each participant was compared to mean <strong>of</strong> group by using t-test. Data <strong>of</strong> POC glucose,<br />

glucose meter, and QC were survey at beginning. Satisfaction <strong>of</strong> QAP was evaluated<br />

at <strong>the</strong> end <strong>of</strong> <strong>the</strong> program.<br />

Results: All participants used <strong>the</strong> same brand <strong>of</strong> glucose meters (n=33) in <strong>the</strong> QAP<br />

and blood glucose was performed approximately 120 tests per day. Assessed time<br />

to test blood glucose was 4 ± 1.5 hours and <strong>the</strong>re was no significantly different<br />

among participants (P>0.05). SDI <strong>of</strong> blood glucose testing was ranged from 0 to 2.5.<br />

There were three meters (10.3%) those SDIs were exceeded 2.0 at <strong>the</strong> first month,<br />

but decreased to less than 2.0 at <strong>the</strong> second and third months. All participants were<br />

satisfied <strong>of</strong> QAP with satisfaction score equal to 5.0.<br />

Conclusions: This is <strong>the</strong> first study <strong>of</strong> <strong>the</strong> QAP for POC glucose testing at primary<br />

care settings in Thailand by using whole blood samples. This study provides an<br />

evidence for continuous improvement <strong>of</strong> quality <strong>of</strong> blood glucose testing at PCUs<br />

and also can motivate <strong>the</strong> users to consider and avoid quality <strong>of</strong> <strong>the</strong>ir glucose meters.<br />

B-82<br />

Rapid Blood Gas Testing Decreases Ventilator Time <strong>of</strong> <strong>the</strong> Post Isolated<br />

Coronary Artery Bypass Patient<br />

L. Vitry, S. Clark, M. Hammel. Centura Health, Denver, CO<br />

Background: Fast, accurate blood gas testing is a critical component to managing <strong>the</strong><br />

post Isolated Coronary Artery Bypass (iso-CAB) patient in <strong>the</strong> Intensive Care Unit/<br />

Coronary Care Unit (ICU/CCU). These patients come to <strong>the</strong> ICU/CCU on a ventilator.<br />

Evidence Based Medicine supports weaning <strong>the</strong>se patients as soon as possible, after<br />

admission to ICU/CCU. The national goal, per <strong>the</strong> Society <strong>of</strong> Thoracic Surgeons<br />

(STS), is to wean <strong>the</strong>se patients from <strong>the</strong> ventilator in less than six hours.<br />

Methods: This study will compare 2 different blood gas testing methods used to<br />

manage <strong>the</strong> post iso- CAB patient and post iso-CAB patient ventilator time in <strong>the</strong> ICU.<br />

Results: ICU was sending blood gas samples on post iso-CAB patients to <strong>the</strong> main<br />

laboratory for analysis. Average turnaround time (TAT) for this analysis was 30<br />

minutes. Average ventilator time was 12.1 hours. After <strong>the</strong> installation <strong>of</strong> rapid blood<br />

gas testing in <strong>the</strong> ICU, <strong>the</strong> average blood gas TAT was 2 minutes, and <strong>the</strong> average<br />

ventilator time was 8.8 hours.<br />

Conclusion: Having blood gas test results faster accelerated <strong>the</strong> patients’ treatment<br />

and weaning process. This leads to decreased time on a ventilator, decreased length<br />

<strong>of</strong> stay, decreases risk factors <strong>of</strong> adverse outcomes as a result <strong>of</strong> prolonged ventilator<br />

time, such as ventilator acquired pneumonia and a decrease <strong>the</strong> overall cost <strong>of</strong> treating<br />

<strong>the</strong> iso-CAB patient.<br />

B-83<br />

Evaluation <strong>of</strong> <strong>the</strong> Bayer Ketostix® for Detection <strong>of</strong> Ketone Bodies in<br />

Blood<br />

M. Bagheri, K. Kelly, A. Butch, L. Song. UCLA, Los Angeles, CA<br />

Background: The blood ketone test is used as an adjunct for <strong>the</strong> diagnosis <strong>of</strong><br />

ketoacidosis. The Bayer Acetest® is an approved test for measuring ketones in serum/<br />

plasma and has recently been commercially unavailable. The Ketostix® reagent strip<br />

(Bayer) is approved only for detection <strong>of</strong> ketones in urine. In this study we evaluated<br />

<strong>the</strong> performance <strong>of</strong> <strong>the</strong> Ketostix reagent strip for detecting serum ketones.<br />

Methods: Serum pools negative for ketones were spiked with ei<strong>the</strong>r lithium<br />

acetoacetate or acetone to obtain samples containing 5 - 100 mg/dL <strong>of</strong> acetoacetic acid<br />

or samples containing 5 - 30 mg/dL <strong>of</strong> acetone, respectively. The serum samples were<br />

tested in triplicate by <strong>the</strong> Acetest and Ketostix tests to determine accuracy. Sensitivity<br />

was determined by analysis <strong>of</strong> samples containing 0 and 5 mg/dL <strong>of</strong> acetoacetic acid<br />

20 times each. Forty three serum samples were tested for ketones using Ketostix strips<br />

and <strong>the</strong> results were compared with those obtained by <strong>the</strong> Acetest.<br />

Results: Both <strong>the</strong> Ketostix and Acetest correctly classified samples spiked with<br />

varying concentrations <strong>of</strong> acetoacetic acid. Both tests also produced negative and<br />

trace ketone results (20 times) for samples spiked with 0 and 5 mg/dL <strong>of</strong> acetoacetic<br />

acid, respectively. Therefore, <strong>the</strong> sensitivity for Ketostix to detect acetoacetic acid in<br />

serum is 5 mg/dL. The Acetest correctly detected trace amounts <strong>of</strong> acetone whereas,<br />

as expected, <strong>the</strong> Ketostix test failed to detect acetone. Agreement between tests for <strong>the</strong><br />

43 serum samples is shown below.<br />

Conclusion: Ketostix has similar sensitivity to Acetest for detecting acetoacetic acid.<br />

Ketostix does not detect acetone, however, acetone only accounts for 2% <strong>of</strong> <strong>the</strong> serum<br />

ketones. There was 88% concordance between <strong>the</strong> two test methods and discordant<br />

results differed by only 1 grade. These data indicate that <strong>the</strong> Ketostix reagent strips<br />

can be used as a replacement for <strong>the</strong> Acetest for detecting serum ketones.<br />

Comparison <strong>of</strong> Serum Ketone Results by Ketostix and Acetest<br />

Ketostix<br />

Acetest<br />

Negative<br />

Trace Small Moderate Large<br />

(5 mg/dL) (15 mg/dL) (30-40 mg/dL) (>80 mg/dL)<br />

Negative( 24 0 0 0 0<br />

Trace(10 mg/dL) 0 3 2 0 0<br />

Small (15 mg/dL) 0 2 7 0 0<br />

Moderate(40 mg/dL) 0 0 0 4 1<br />

Large (>80 mg/dL) 0 0 0 0 0<br />

B-84<br />

Performance Characteristics <strong>of</strong> Cardiac Biomarkers on <strong>the</strong> Samsung<br />

LABGEOIB10 Immunoassay Analyzer for use in Point <strong>of</strong> Care (POC)<br />

and Near Patient Settings*<br />

E. Shin 1 , C. Jin 1 , C. Ku 1 , A. Ramos-Chavez 1 , S. Patel 1 , B. I. Bluestein 1 , A.<br />

Belenky 1 , D. Park 2 , C. Kim 2 , B. Lee 2 , J. Kim 2 , Y. Lee 2 . 1 Nexus-DX, San<br />

Diego, CA, 2 Samsung Electronics Co., Ltd, Suwon, Korea, Republic <strong>of</strong><br />

Background: Multiple studies have shown that POC systems reduce turnaround time<br />

(TAT) due to elimination <strong>of</strong> preanalytical issues such as sample transport, specimen<br />

centrifugation and secondary laboratory processing. The Samsung LABGEO IB10<br />

Analyzer is a portable, light weight (2.4 kg) immunochemistry system capable <strong>of</strong><br />

quantitatively measuring up to 3 biomarkers simultaneously on a single whole blood<br />

aliquot in approximately 20 minutes. Test devices are similar in configuration to a<br />

compact disc.<br />

Principle and Methods: Discs are configured to combine solid phase sandwich<br />

immunochemistry with micr<strong>of</strong>luidics and centrifugal flow to prepare plasma from<br />

whole blood that can <strong>the</strong>n be moved through channel(s) to rehydrate, solubilize and<br />

mix with lyophilized reagents. Using a combination <strong>of</strong> active flow and capillary<br />

action, specific single or multiple analytes are quantitatively measured. Results are<br />

reported in print and by electronic transmission.<br />

Results: Analyte discs have been developed and validated for cardiac Troponin I,<br />

alone and in combination with CK-MB, and myoglobin . NT-proBNP and D-dimer<br />

are also available individually or as a panel with TnI. Measurements <strong>of</strong> <strong>the</strong>se analytes<br />

are well accepted for <strong>the</strong> rapid evaluation <strong>of</strong> patients with symptoms <strong>of</strong> acute coronary<br />

syndrome (ACS) and/or congestive heart failure (CHF). Test methods were evaluated<br />

according to CLSI protocols for sensitivity, endogenous/exogenous interferences,<br />

precision and accuracy compared to 510(k) cleared predicate devices. The VITROS ®<br />

A194 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Point-<strong>of</strong>-Care Testing<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

immunodiagnostic products were used for comparison <strong>of</strong> all analytes except D-dimer<br />

which was measured on <strong>the</strong> Cobas Integra ® . Performance characteristics for each<br />

analyte are shown in <strong>the</strong> table below.<br />

Conclusion: The Samsung LABGEO IB10 Analyzer is a POC instrument suitable for<br />

use in hospital and alternate care settings such as emergency departments, critical<br />

care units, and o<strong>the</strong>r sites where near patient testing is practiced and rapid answers are<br />

required in order to make informed decisions. *U.S. Export Only<br />

Analyte Range -units Ref cut <strong>of</strong>f Slope ρ %CV Total<br />

cTnI<br />

CKMB<br />

MYO<br />

NT- proBNP<br />

D-dimer<br />

B-85<br />

0.05-30 ng/mL<br />

2.0-60 ng/mL<br />

30-500 ng/mL<br />

30-5000 pg/mL<br />

100-4000<br />

FEU ng/mL<br />

0.10 ng/mL<br />

99% ile<br />

8.6 ng/mL<br />

95% ile<br />

99.8 ng/mL<br />

95%ile<br />

125pg/mL 75 y.o.<br />

0.80 0.92 10-14<br />

1.29 0.88 10-15<br />

1.0 0.90 12-13<br />

0.91 0.96 9-14<br />

447 FEU ng/mL 95%ile 1.21 0.87 6-9<br />

Audit <strong>of</strong> Quality Error Rates in Blood Gas Analysis in <strong>the</strong> Central<br />

Laboratory and Point <strong>of</strong> Care Setting<br />

M. Chong, L. Ong, S. Saw, S. Sethi. National University Health System,<br />

Singapore, Singapore<br />

Background: Arterial blood gas (ABG) analysis is thought to be more vulnerable to<br />

pre-analytical errors, especially in <strong>the</strong> point <strong>of</strong> care (POC) setting. We evaluated <strong>the</strong><br />

number <strong>of</strong> pre-analytical errors reported in POC versus central lab ABG analysis, and<br />

identify common areas for future quality improvement. Such information is helpful<br />

in risk-benefit analysis especially in <strong>the</strong> area <strong>of</strong> training and education <strong>of</strong> POCT users<br />

and clinicians requesting for ABG testing.<br />

Methods: We collated information for all ABG analyses done in our hospital<br />

in 2012, including all requesting locations and quality errors. ABG errors in <strong>the</strong><br />

central laboratory were tracked using lab comment codes entered into <strong>the</strong> laboratory<br />

information system (LIS) by <strong>the</strong> laboratory staff, while POC ABG errors flagged in<br />

<strong>the</strong> POC middleware were keyed in by laboratory POC staff into <strong>the</strong> LIS.<br />

Results: POC ABG testing made up <strong>of</strong> 87.4% <strong>of</strong> <strong>the</strong> 69775 total ABG requests. Of<br />

this, <strong>the</strong> error rate was 0.13%, compared to 4.98% at <strong>the</strong> central laboratory. Majority<br />

<strong>of</strong> <strong>the</strong> POC ABG pre-analytical errors were associated with patient identification<br />

errors (86% <strong>of</strong> POC ABG errors; 0.11% <strong>of</strong> all POC ABG requests) whereas errors in<br />

<strong>the</strong> central laboratory stemmed from specimen quality issues such as clotted samples<br />

(78% <strong>of</strong> all central laboratory ABG errors; 3.87% <strong>of</strong> all central lab requests). This<br />

variability in error types between POC and lab blood gas may due to underreporting<br />

<strong>of</strong> errors such as clotted or insufficient samples at <strong>the</strong> POC site, as <strong>the</strong>se were usually<br />

repeated immediately and might not be highlighted to <strong>the</strong> laboratory POC staff.<br />

Conclusions: The central lab ABG testing error rate is unacceptably high and suggests<br />

need for fur<strong>the</strong>r training and education <strong>of</strong> ABG testing personnel in proper specimen<br />

requisition and handling prior to transportation to <strong>the</strong> laboratory.<br />

B-86<br />

Assessment <strong>of</strong> pH in Pleural Fluid on Siemens RAPIDPoint Systems to<br />

Aid Clinicians in Diagnosis <strong>of</strong> Common Diseases<br />

B. M. Carney, K. LaRock, D. Tagliaferro. Siemens Healthcare Diagnostics,<br />

Norwood, MA<br />

Introduction: Pleural fluid is found in <strong>the</strong> pleura, <strong>the</strong> double-layered serous<br />

membrane that surrounds <strong>the</strong> lungs. Pleural fluid enables <strong>the</strong> walls between <strong>the</strong> lungs<br />

and <strong>the</strong> chest to mechanically couple while preventing friction when <strong>the</strong> lung and<br />

chest walls slide with respect to each o<strong>the</strong>r. Common diseases including heart failure,<br />

pneumonia, esophageal rupture, tuberculosis, rheumatoid disease, and malignant<br />

cancers can cause excess fluid to develop in <strong>the</strong> walls surrounding <strong>the</strong> lungs. It is<br />

estimated that 1 million pleural effusions are diagnosed in <strong>the</strong> United States each<br />

year¹ to diagnose common diseases and conditions such as heart failure, pneumonia,<br />

esophageal rupture, tuberculosis, rheumatoid disease, and malignant cancers 1 . Point<br />

<strong>of</strong> care testing provides an accurate pleural fluid pH measurement. The RAPIDPoint®<br />

Series blood gas systems provide a method for <strong>the</strong> measurement <strong>of</strong> pleural fluid pH in<br />

a maintenance-free cartridge 2 . An internal validation <strong>of</strong> pleural fluid pH measurement<br />

is presented on <strong>the</strong> Siemens RAPIDPoint®400, 405, and 500 blood gas analyzers.<br />

Method: The test method was adopted from CLSI guideline Evaluation <strong>of</strong> Precision<br />

Performance <strong>of</strong> Quantitative Measurement Methods (CLSI EP05-A2). A total <strong>of</strong> 80<br />

prepared pleural fluid samples at three levels <strong>of</strong> diagnostic interest (7.0 - 7.5 pH Units)<br />

were analyzed in a precision study on each Siemens RAPIDPoint® model.<br />

Results: Precision analysis was performed for pleural fluid samples prepared at three<br />

clinically relevant pH levels. Mean pH (Units) within-laboratory standard deviation<br />

and repeatability were calculated for each level, as illustrated in Table 1.<br />

Conclusions:<br />

The RAPIDPoint® point <strong>of</strong> care instruments meet <strong>the</strong> pooled Total SD (Within Lab)<br />

and pooled Within Run SD (Repeatability) acceptance criteria for pleural fluid pH<br />

analysis.<br />

Table 1. pH Precision Results <strong>of</strong> Prepared Pleural Fluid Samples.<br />

RAPIDPoint<br />

Level Mean n Within Laboratory (pH Units) Repeatability (pH Units)<br />

System (pH Units)<br />

Low 7.102 80 0.011 0.010<br />

400 Mid 7.286 80 0.011 0.010<br />

High 7.471 80 0.008 0.007<br />

Low 7.102 80 0.011 0.009<br />

405 Mid 7.286 80 0.012 0.012<br />

High 7.471 80 0.007 0.007<br />

Low 7.102 80 0.016 0.006<br />

500 Mid 7.286 80 0.018 0.011<br />

High 7.471 80 0.019 0.011<br />

Footnotes<br />

1<br />

‘Pleural Effusion’, by J. Rubins, MD, eMedicine, Feb. 15, 2007<br />

2<br />

Pleural Fluid analysis is pending FDA approval for clearance in <strong>the</strong> United States.<br />

B-87<br />

Concordance between successive Troponin I by point <strong>of</strong> care and<br />

TroponinT by central laboratory in patients presenting to Emergency<br />

Department.<br />

I. A. Hashim, W. Wells, D. Pillow, J. A. de Lemos. University <strong>of</strong> Texas<br />

Southwestern Medical Center, Dallas, TX<br />

Introduction: Bedside measurement <strong>of</strong> Troponin level is becoming widely adopted.<br />

Because only Troponin I is currently available as point <strong>of</strong> care use in <strong>the</strong> United<br />

States, institutions using Troponin T assays in <strong>the</strong>ir central laboratory typically<br />

perform Troponin I by point <strong>of</strong> care testing in <strong>the</strong> emergency room and subsequent<br />

measurements are usually performed in <strong>the</strong> laboratory using Troponin T. In this study<br />

we reviewed consecutive Troponin I and T measurements on patients presenting to<br />

our Emergency Department.<br />

Methods: Troponin I level obtained by point <strong>of</strong> care testing (POCT) (iSTAT analyzer,<br />

Abbott Diagnostics, USA) and Troponin T level by laboratory-based instrumentation<br />

(Cobas, Roche Diagnostics, USA) were measured at <strong>the</strong> time <strong>of</strong> presentation in<br />

consecutive patients evaluated for chest pain over a one month period. A positive test<br />

for Troponin I was >0.1 ng/mL and for Troponin T was >0.01 ng/mL (99 th percentile<br />

values). Concordance for both troponin levels was determined.<br />

Results: A total <strong>of</strong> 105 patients presented to <strong>the</strong> emergency department during <strong>the</strong><br />

study period. Troponin I values ranged from below detection


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Point-<strong>of</strong>-Care Testing<br />

to 3.40 ng/ml (median 0.08) for Troponin T. Troponin I was negative in 86 patients<br />

(81.9 %), whereas Troponin T was negative in 79 patients (75.2%). Concordance for<br />

negative troponin results was 68.6 % whereas concordance for positive tests was only<br />

10.5 %. Percentage <strong>of</strong> positive Troponin I with a negative Troponin T was 6.7%,<br />

compared with 13.3 % for those with negative Troponin I and a positive Troponin<br />

T results.<br />

Conclusion: Concordance between Troponin I by POCT and Troponin T by<br />

laboratory-based methodology was only moderate. False negative and false positive<br />

results were seen. This may results in patients being erroneously admitted or more<br />

seriously discharged. POCT Troponin I may identify individuals for additional<br />

investigation, but reliance on a single value for rule out may result in false negative<br />

evaluations for MI and inappropriate discharge. A specific rule out protocol is required<br />

when using POCT.<br />

B-88<br />

A novel electrochemical immunoassay point <strong>of</strong> care system<br />

R. A. Porter, E. Hutchinson, M. Chard, W. Paul. AgPlus Diagnostics,<br />

Sharnbrook, United Kingdom<br />

Background: ELISA and Clinical Lab Analyzers are routinely used for immunoassays<br />

where robust, reliable results are required for clinical decisions to be made. However,<br />

with <strong>the</strong> changing landscape in healthcare provision, <strong>the</strong> need for a more mobile,<br />

rapid and responsive diagnostic tool that can be used in a range <strong>of</strong> environments has<br />

become much greater.<br />

Objective: The aim <strong>of</strong> AgPlus Diagnostics research is to develop a diagnostic<br />

platform that would meet all <strong>the</strong> needs <strong>of</strong> <strong>the</strong> Point <strong>of</strong> Care (PoC) diagnostics market<br />

for a rapid, portable system, giving results comparable to <strong>the</strong> gold-standards <strong>of</strong> central<br />

laboratory analysers, to ensure it can deliver a measurable benefit to users where<br />

clinical confidence in <strong>the</strong> diagnostic result is required.<br />

AgPlus with <strong>the</strong> National Physical Laboratory have developed an electrochemical<br />

metalloimmunoassay based on silver nanoparticles, in a disposable micr<strong>of</strong>luidic<br />

device, with a portable reader to deliver clinical results in 10 minutes or less.<br />

Assay methodology: The system employs silver nanoparticles as an electrochemical<br />

label and magnetic particles as <strong>the</strong> solid phase. The assay is run on a fluidic device,<br />

which contains all required reagents dried on <strong>the</strong> chip and solutions in to fluid filled<br />

blisters, which are deployed by an actuator. This means <strong>the</strong> assay can be carried out in<br />

a single step format controlled by <strong>the</strong> reading device.<br />

For <strong>the</strong> prototype system, TroponinI was developed. Once a sample has been added to<br />

<strong>the</strong> micr<strong>of</strong>luidic chip, <strong>the</strong> sample incubates in <strong>the</strong> measurement chamber and is mixed<br />

with <strong>the</strong> antibody-coated particles. If <strong>the</strong> analyte is present a complex is formed with<br />

<strong>the</strong> magnetic and silver particles. After incubation, magnets are activated, which holds<br />

<strong>the</strong> silver-magnetic complexes down in <strong>the</strong> measurement zone so <strong>the</strong> wash solution<br />

can clear away any unwanted materials. Once this occurs, <strong>the</strong> reading solution <strong>of</strong><br />

ammonium thiocyanate is released and cleaves <strong>the</strong> silver nanoparticles from <strong>the</strong><br />

complex and forms a negatively charged monolayer around <strong>the</strong> silver nanoparticle,<br />

which can be drawn down to <strong>the</strong> sensor under a positive potential. The nanoparticle are<br />

electrochemically converted to electro-active metal ions, for each 40nM nanoparticle<br />

it can be converted to 1x10 12 ions thus allowing for signal amplification. The amount<br />

<strong>of</strong> silver particles is directly proportional to <strong>the</strong> amount <strong>of</strong> analyte in <strong>the</strong> sample.<br />

Results: The system is showing results in un-optimised assay formats with TnI having<br />

a current dynamic range <strong>of</strong> 1pg/ml-50pg/ml with CV


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-89<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Infectious Disease<br />

Identification <strong>of</strong> Models to Predict Sepsis in Emergency Department<br />

Patients<br />

F. Cate, J. Colón-Franco, S. Litt, T. Rice, A. Wheeler, D. Plummer, W.<br />

Dupont, A. Woodworth. Vanderbilt Univeristy Medical Center, Nashville,<br />

TN<br />

Background: Initiation <strong>of</strong> early, goal directed <strong>the</strong>rapy reduces sepsis related<br />

mortality. No single predictor accurately identifies sepsis in emergency department<br />

(ED) patients.<br />

Objective: To identify sepsis prediction models for ED patients with systemic<br />

inflammatory response syndrome (SIRS) and/or o<strong>the</strong>r sepsis risk factors.<br />

Methods: This retrospective cohort study utilized 128 ED patients with SIRS<br />

and/or ano<strong>the</strong>r sepsis risk factor (hypotension (SBP


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

B-94<br />

Development and Validation <strong>of</strong> a Novel IFN-gamma ELISPOT Assay<br />

for Sensitive and Specific Detection <strong>of</strong> Antigen-Specific T Cell Response<br />

to Borrelia burgdorferi<br />

C. Jin 1 , D. Roen 1 , M. Kellermann 1 , G. Kellermann 2 . 1 Pharmasan Labs, Inc.,<br />

Osceola, WI, 2 NeuroScience, Osceola, WI<br />

Background: Lyme disease, caused by infection <strong>of</strong> Borrelia burgdorferi, is an<br />

emerging infectious disease in <strong>the</strong> United States. However, <strong>the</strong> limitation <strong>of</strong> <strong>the</strong><br />

conventional antibody-based immunoassays is that <strong>the</strong>y have low sensitivity and<br />

specificity, causing significant false negative and false positive results. In contrast,<br />

Borrelia-specific T cell-based immune assays have not yet been well developed.<br />

The enzyme-linked immunospot (ELISPOT) technology has proven to be extremely<br />

sensitive in detecting low frequency <strong>of</strong> antigen specific reactive T cells and has been<br />

approved by FDA for use in <strong>the</strong> diagnosis <strong>of</strong> tuberculosis.<br />

Objective: The aim <strong>of</strong> this study is to develop and validate a novel T cell-based assay<br />

for diagnosis <strong>of</strong> Lyme disease using an ELISPOT technology.<br />

Methods: To develop <strong>the</strong> novel T cell-based diagnostic assay for Lyme disease, we<br />

detected <strong>the</strong> Borrelia antigen-specific memory T cells that were activated ex vivo by<br />

recombinant Borrelia-specific antigens, using Th1 cytokine Interferon-γ ELISPOT at<br />

<strong>the</strong> single cell level. The human PBMC were stimulated with single or a combination<br />

<strong>of</strong> recombinant Borrelia-specific antigens, DbpA, OspC, p100 and VlsE. In addition,<br />

we added cytokine IL-7 into <strong>the</strong> culture to increase <strong>the</strong> detection <strong>of</strong> T memory cells.<br />

The results <strong>of</strong> ELISPOT were analyzed and reported as IFN-γ Spot Forming Units<br />

(SFU). To validate this assay, 25 diagnosed Lyme patients and 80 control subjects<br />

were studied and <strong>the</strong> results were compared with Western Blot test. The performance<br />

<strong>of</strong> <strong>the</strong> Lyme ELISPOT assay, including clinical sensitivity, clinical specificity,<br />

accuracy and precision, is also evaluated.<br />

Results: The frequency <strong>of</strong> Borrelia-specific T memory cells can be detected by<br />

Interferon-γ ELISPOT and <strong>the</strong>refore can be used as a biomarker for Borrelia infection.<br />

The detection <strong>of</strong> antigen specific T cells was significantly increased by a combination<br />

<strong>of</strong> recombinant Borrelia antigens and addition <strong>of</strong> IL-7. The signal enhancing effect <strong>of</strong><br />

IL-7 was observed even at saturating antigen concentration in terms <strong>of</strong> frequency, but<br />

IL-7 did not increase <strong>the</strong> amount <strong>of</strong> IFN-γ secreted by individual cells. The ELISPOT<br />

assay cut-<strong>of</strong>f value was determined using Receiver Operating Characteristic (ROC)<br />

curve analysis. A cut-<strong>of</strong>f value <strong>of</strong> >25 SFU maximized assay sensitivity and<br />

specificity. The ELISPOT has a significantly higher specificity (94%) and sensitivity<br />

(84%) compared with Western Blot (Sensitivity 24%). It has a positive predictive<br />

value <strong>of</strong> 81% and a negative predictive value <strong>of</strong> 95%. The Area Under <strong>the</strong> ROC Curve<br />

(AUC) is 0.943, demonstrating that Lyme ELISPOT Assay has an excellent diagnostic<br />

accuracy. The results also demonstrated a dissociation between B cell response<br />

and T cell response during Borrelia infection, suggesting that a comprehensive<br />

immunological diagnostic panel should include both B cell and T cell diagnostics.<br />

Conclusion: A novel T cell-based assay for diagnosis <strong>of</strong> Lyme disease -Lyme<br />

ELISPOT was developed and validated. This novel ELISPOT assay may be a<br />

helpful laboratory diagnostic test for Lyme disease, especially for seronegative Lyme<br />

patients and in monitoring treatment. A comprehensive evaluation <strong>of</strong> both antibody<br />

response and T cell response to Borrelia infection will provide new insights into <strong>the</strong><br />

pathogenesis, diagnosis, treatment and monitoring <strong>the</strong> progress <strong>of</strong> Lyme disease.<br />

B-95<br />

IGRA, TST, and Mycobacterium tuberculosis PCR assay in<br />

combination with high-resolution computed tomography for rapid<br />

diagnosis <strong>of</strong> smear-negative pulmonary tuberculosis in Korea<br />

S. P. Suh 1 , O. Lee 1 , S. Lee 1 , H. Choi 1 , S. Kee 1 , M. Shin 1 , J. Shin 1 , B. Park 2 ,<br />

D. Ryang 1 . 1 Department <strong>of</strong> Laboratory Medicine, Chonnam University<br />

Medical School, Gwangju, Korea, Republic <strong>of</strong>, 2 Mokpo National University,<br />

Muan, Korea, Republic <strong>of</strong><br />

Background: It is challenging to early detect pulmonary tuberculosis (PTB),<br />

especially in smear-negative PTB cases. There are several assays for rapid diagnosis<br />

<strong>of</strong> PTB, including whole-blood interferon-γ release assay (IGRA), tuberculin skin test<br />

(TST), polymerase chain reaction (PCR), and high-resolution computed tomography<br />

(HRCT). However, little is known about <strong>the</strong> diagnostic performance <strong>of</strong> such methods.<br />

The purpose <strong>of</strong> this study is to compare whole-blood IGRA, TST, sputum PCR, and<br />

HRCT in <strong>the</strong> diagnosis <strong>of</strong> smear-negative PTB.<br />

Methods: Retrospective comparison <strong>of</strong> <strong>the</strong> performance <strong>of</strong> whole-blood IGRA<br />

(QuantiFERON-TB Gold-In Tube; Cellestis, Australia), TST, sputum PCR using<br />

Roche Cobas Amplicor Mycobacterium tuberculosis assay (Roche Diagnostics,<br />

Switzerland), and HRCT in <strong>the</strong> rapid diagnosis <strong>of</strong> PTB was conducted at a university<br />

hospital in Korea.<br />

Results: Of 319 patients available for all <strong>the</strong> rapid assay results in <strong>the</strong> study, 237<br />

were smear-negative, including 78 patients with PTB and 159 with non-TB. The<br />

sensitivities and specificities were 79.5% and 59.4% for IGRA, 60.3% and 77.4%<br />

for TST, 39.7% and 96.9% for PCR, and 71.8% and 90.6% for HRCT, respectively.<br />

The positive and negative predictive values were 50.9% and 84.5% for IGRA, 56.6%<br />

and 79.9% for TST, 86.1% and 76.6% for PCR, and 78.9% and 86.8% for HRCT,<br />

respectively. Among 62 patients suspected <strong>of</strong> having PTB based on HRCT, 42 patients<br />

showed positive IGRA results, 41 (97.6%) <strong>of</strong> which were culture-confirmed. Among<br />

149 patients suspected not to have PTB based on HRCT, 77 patients showed negative<br />

IGRA results, 72 (93.5%) <strong>of</strong> which were diagnosed as non-TB. Among 71 patients<br />

suspected <strong>of</strong> having PTB based on HRCT, 36 patients showed positive TST results,<br />

34 (94.4%) <strong>of</strong> which were culture-confirmed. Among 166 patients suspected not to<br />

have PTB based on HRCT, 119 patients showed negative TST results, 110 (92.4%)<br />

<strong>of</strong> which were diagnosed as non-TB. Among 71 patients suspected <strong>of</strong> having PTB<br />

based on HRCT, 25 patients showed positive PCR results, 24 (96%) <strong>of</strong> which were<br />

culture-confirmed. Among 166 patients suspected not to have PTB based on HRCT,<br />

155 patients showed negative PCR results, 140 (90.3%) <strong>of</strong> which were diagnosed as<br />

non-TB.<br />

Conclusion: In smear-negative PTB patients, IGRA in combination with HRCT could<br />

help finding more TB cases than PCR or TST in combination with HRCT. However,<br />

PCR in combination with HRCT could be helpful to rule out more non-TB cases than<br />

IGRA or TST in combination with HRCT.<br />

B-96<br />

Evaluation <strong>of</strong> Klebsiella pneumoniae carbapenemase (KPC)<br />

production in Enterobacteriaceae with decreased susceptibility to<br />

carbapenems<br />

N. B. Alves, J. S. Viana, P. H. N. Bicalho, F. M. D. Neves, G. F. Souza, C.<br />

A. Araújo, A. L. Rocha, M. A. B. Sousa. Instituto Hermes Pardini, Belo<br />

Horizonte, Brazil<br />

Background: Bacterial resistance has increased indexes mortality, morbidity and<br />

costs <strong>of</strong> treating infectious diseases, especially those caused by Gram-negative<br />

bacteria against which <strong>the</strong> carbapenems represent important alternative treatment.<br />

The emergence <strong>of</strong> carbapenemases KPC types limits <strong>the</strong> <strong>the</strong>rapeutic options in case<br />

<strong>of</strong> infection caused by Enterobacteriaceae, becose <strong>the</strong>se enzymes are capable <strong>of</strong><br />

inactivating carbapenems, penicillins, cephalosporins and monobactams. This study<br />

aimed to identify <strong>the</strong> gene blaKPC in Enterobacteriaceae with decreased susceptibility<br />

to carbapenems, isolated from clinical specimens from hospitalized patients, and <strong>the</strong><br />

pr<strong>of</strong>ile’s evaluation <strong>of</strong> antimicrobial susceptibility <strong>of</strong> <strong>the</strong>se microorganisms.<br />

Methods: In 541 strains <strong>of</strong> Enterobacteriaceae, isolates were found 48 (8.87%) that<br />

were resistant or intermediately resistant to imipenem and / or meropenem, identified<br />

by MicroScan ® system. For phenotypic analysis <strong>of</strong> <strong>the</strong> production <strong>of</strong> carbapenemase<br />

KPC type <strong>of</strong> test was performed Hodge, and <strong>the</strong> confirming was done by PCR for<br />

gene blakpc. The susceptibility test tigecycline and Ertapenem was performed by<br />

disk diffusion method, and to test <strong>the</strong> susceptibility Polymyxin B, determination<br />

<strong>of</strong> minimum inhibitory concentration (MIC) was determined by E-test ® strips on<br />

Mueller-Hinton agar according to <strong>the</strong> manufacturer’s recommendations. The results<br />

were interpreted according to Brazil’s National Agency for Sanitary Vigilance<br />

Technical Note 01/2010.<br />

Results: Among <strong>the</strong> 48 isolates, <strong>the</strong> most frequent was Klebsiella pneumoniae<br />

(50%), followed by Providencia stuartii (22.9%), Enterobacter aerogenes (8.3%),<br />

Enterobacter cloacae (8.3%), Escherichia coli (6.3%), Proteus penneri (2.1%) and<br />

Serratia marcescens (2.1%). Detection <strong>of</strong> gene blaKPC was positive in 81.3% <strong>of</strong> <strong>the</strong><br />

samples. The Hodge test was positive for 85.4% <strong>of</strong> <strong>the</strong> strains. In 95.1% <strong>of</strong> positive<br />

cases in <strong>the</strong> Hodge test, <strong>the</strong> presence <strong>of</strong> production <strong>of</strong> carbapenemase KPC type<br />

by detecting blaKPC gene by PCR was confirmed. Results showed that <strong>the</strong> Hodge<br />

test had a sensitivity <strong>of</strong> 100% and specificity <strong>of</strong> 81.8%. The positive and negative<br />

predictive values were, respectively, 95.1% and 100%.<br />

We observed a high resistance pattern to <strong>the</strong> most part <strong>of</strong> antibiotics. Tigecycline and<br />

Polymyxin B proved to be <strong>the</strong> best treatment options for <strong>the</strong> majority <strong>of</strong> isolates, and<br />

this indicates <strong>the</strong> need for automation panels which contain <strong>the</strong>se antimicrobials to<br />

achieve faster test results. Never<strong>the</strong>less, 01 strain <strong>of</strong> Enterobacter aerogenes and 05<br />

strains <strong>of</strong> Klebsiella pneumoniae were resistants to Polymyxin B.<br />

A198 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Conclusion: The results demonstrate <strong>the</strong> need for constant surveillance, so that<br />

containment effective measures against <strong>of</strong> bacteria producing KPC carbapenemase<br />

type can be taken as soon as possible. Thereby, it is possible to prevent <strong>the</strong> avoiding<br />

<strong>the</strong> spread <strong>of</strong> this resistance mechanism. Fur<strong>the</strong>rmore, it is crucial to progress <strong>the</strong><br />

technological development <strong>of</strong> new more efficient drugs for <strong>the</strong> treatment <strong>of</strong> infections<br />

caused by multidrug-resistant Gram-negative bacteria.The results surprisingly<br />

showed an accelerated growth <strong>of</strong> <strong>the</strong> resistance gene transmission to various bacterial<br />

specimens in Belo Horizonte (Brazil). It’s an worrisome informations, because <strong>the</strong><br />

first report <strong>of</strong> a Enterobacteriaceae strain resistant to carbapenems in our institution<br />

was in January 2009.<br />

B-97<br />

Total lymphocytes count (TCL) as predictor <strong>of</strong> imunossupression in<br />

people living with hiv. Is CD4 count still needed?<br />

G. F. Souza 1 , W. Pedrosa 1 , B. Alves 2 , C. Quadros 2 , I. Pereira 2 , J. Heimann 2 ,<br />

L. Damião 2 . 1 Instituto Hermes Pardini, Belo Horizonte, Brazil, 2 Faculdade<br />

de Saúde e Ecologia Humana, Vespasiano, Brazil<br />

Introduction: HIV infection results in qualitative changes and leukocyte depletion,<br />

mainly <strong>the</strong> lymphocyte T CD4+. Counting <strong>the</strong> lymphocyte subpopulation allows<br />

predicting <strong>the</strong> disease progression and defines when to start treatment in naive<br />

patients. There are few dedicated laboratories for CD4 count in developing world and<br />

<strong>the</strong> sample presents very low stability when transport for long distances are needed.<br />

The total lymphocyte count (TLC) is cheaper and available in small laboratories and<br />

in special situations could be used to predict severe immunosuppression (CD4


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

was divided into three subgroups: patients with chronic hepatitis B (CHB), cirrhosis,<br />

and hepatocellular carcinoma (HCC). Subjects with genotype AG <strong>of</strong> rs2285452 were<br />

significantly less susceptible to HCC than those with AA genotype (P=0.04,OR=0.25,<br />

95%CI=0.07-0.95). Serological marker model <strong>of</strong> “HBsAg+, HBeAg+, HBcAb+” was<br />

predominate among patients with HBV infection. However, <strong>the</strong>re was no association<br />

between genotype distribution <strong>of</strong> 5 SNPs and serological marker models(P>0.05).<br />

Conclusions: Our findings suggest that allele A <strong>of</strong> rs2221903, rs4833837 in IL-21<br />

and rs1053023 in STAT3 may influence <strong>the</strong> production <strong>of</strong> anti-HBs. Fur<strong>the</strong>rmore,<br />

genotype AG <strong>of</strong> rs2285452 in IL-21R could reduce <strong>the</strong> risk <strong>of</strong> HCC, when compared<br />

with genotype AA. However, fur<strong>the</strong>r research needed to prove that host genetics is<br />

likely to influence <strong>the</strong> outcome <strong>of</strong> HBV infection.<br />

B-101<br />

Detection <strong>of</strong> human papilloma viruses using PANArrayTM HPV kit in<br />

microarray technology.<br />

S. Kim, G. Joe, S. Ha, S. Ha, I. Wo, M. Kil, S. Cho, E. Kim, H. Park.<br />

PANAGENE.Inc, Daejeon, Korea, Republic <strong>of</strong><br />

Background: Human papilloma viruses (HPV) are <strong>the</strong> major cause <strong>of</strong> cervical<br />

cancer. Hence, HPV genotype detection is a helpful preventive measure to combat<br />

cervical cancer. HPV type is associated with different risks for <strong>the</strong> development<br />

<strong>of</strong> cervical cancer. So, detecting and genotyping HPV has increasingly become an<br />

integral part <strong>of</strong> cervical cancer control. Recently, several HPV detection methods<br />

have been developed, and each has different sensitivities and specificities. To detect<br />

HPV infection, HPV DNA testing is necessary. HPV DNA testing is required as a<br />

primary genotyping tool for HPV vaccination. In <strong>the</strong>se days, HPV DNA testing is<br />

recommended for cervical cancer since it is more sensitive and specific than Pap<br />

smear method which has much possibility to have false negative result. We have<br />

developed PANArray HPV Genotyping Chip using peptide nucleic acid (PNA) as<br />

probes instead <strong>of</strong> DNA probes. PNA, DNA analogue, has a strong binding affinity to<br />

its complementary DNA sequences and results in fast hybridization ra<strong>the</strong>r than DNA.<br />

Methods: PANArray HPV Genotyping Chip is made by immobilizing 33 HPV<br />

type-specific PNA probes on PNA chip. On one well, 33 probes are positioned; 19<br />

HPV genotypes with high risk (16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59,<br />

66, 68, 69, 70, and 73) and 13 HPV genotypes with low risk (6, 11, 32, 34, 40, 42,<br />

43, 44, 54, 55, 62, 81, and 83). In addition, PNA probes for beta-globin gene for PCR<br />

confirmation and position markers are also immobilized on <strong>the</strong> same well.We have<br />

comparatively analyzed <strong>the</strong> value <strong>of</strong> PANArray HPV Genotyping Chip and DNA<br />

sequencing with 197 clinical samples.<br />

Results: We analyzed a total <strong>of</strong> 197 clinical samples by PANArray assay and validated<br />

its usefulness by comparing results to those <strong>of</strong> <strong>the</strong> sequencing method. The PANArray<br />

results show positive with 66 samples (including 9 samples <strong>of</strong> multiple infections),<br />

negative with 131samples. The PANArray results have 97% high concordance (192<br />

out <strong>of</strong> 197) with DNA sequencing in detecting genotype. The PANArray HPV chip<br />

was highly accurate, suitable for detection <strong>of</strong> single and multiple infections, rapid<br />

in detection, less time-consuming, and easier to perform comparing to <strong>the</strong> o<strong>the</strong>r<br />

methods. It is concluded that for clinical and epidemiological studies, all genotyping<br />

methods are perfectly suitable, and provide comparable results.<br />

B-102<br />

The Tm Mapping Method: A novel rapid, easy, and cost-effective<br />

method that identifies unknown pathogenic microorganisms within<br />

three hours <strong>of</strong> sample collection<br />

H. NIIMI 1 , T. Ueno 1 , S. Hayashi 1 , A. Abe 2 , T. Tsurue 2 , M. Mori 3 , H. Tabata 4 ,<br />

H. Minami 4 , M. Goto 5 , S. Saito 1 , I. Kitajima 1 . 1 Toyama University Hospital,<br />

Toyama, Japan, 2 Kitami Information Technology Co., Ltd., Hokkaido,<br />

Japan, 3 Ishikawa Prefectural University, Ishikawa, Japan, 4 Hokkaido<br />

Mitsui Chemicals, Inc., Hokkaido, Japan, 5 University <strong>of</strong> Iowa Carver<br />

College <strong>of</strong> Medicine, Iowa, IA<br />

BACKGROUND: The earliest possible identification <strong>of</strong> pathogenic microorganisms<br />

is critical for selecting an appropriate antimicrobial <strong>the</strong>rapy and for obtaining<br />

a favorable outcome for infected patients. However, as <strong>the</strong> current pathogenidentification<br />

methods using microbial culture require several days, empirically<br />

selected antimicrobial agents are administered until <strong>the</strong> pathogenic microorganisms<br />

are identified. Though mass spectrometry is can be utilized as a rapid identification<br />

method <strong>of</strong> pathogens, it requires <strong>the</strong> blood culture process, so it takes more than 10<br />

hours after sample collection. We developed a novel rapid, easy, and cost-effective<br />

method that identifies <strong>the</strong> dominant bacteria in a sample within three hours <strong>of</strong> sample<br />

collection. Using only seven primer sets, more than 100 bacterial species can be<br />

identified, and <strong>the</strong> number <strong>of</strong> identifiable bacterial species is easily expandable. We<br />

named this method <strong>the</strong> “Tm mapping method”.<br />

METHODS: To detect pathogenic bacteria by PCR with high sensitivity, we<br />

developed a novel “eukaryote-made” Taq polymerase, which is free from bacterial<br />

DNA contamination (J Clin Microbiol. 2011 Sep; 49(9):3316-20). We also developed<br />

<strong>the</strong> Tm mapping method for <strong>the</strong> rapid identification <strong>of</strong> a broad range <strong>of</strong> pathogenic<br />

microorganisms. We developed this system, and already obtained international<br />

patents in Japan (2010), in <strong>the</strong> U.S. (2012), and in Europe (<strong>2013</strong>), which proves it is<br />

unique and original. The method identifies pathogenic microorganisms by mapping<br />

<strong>the</strong> unique shape <strong>of</strong> seven melting temperature (Tm) values in two dimensions. This<br />

unique shape reflects <strong>the</strong> different DNA base sequences present among bacterial<br />

species. Comparing <strong>the</strong> shape <strong>of</strong> <strong>the</strong> mapped Tm values to <strong>the</strong> shapes in <strong>the</strong> database,<br />

<strong>the</strong> pathogenic bacteria is identified. To use this method from anywhere easily, we<br />

also developed identification s<strong>of</strong>tware program that is available on <strong>the</strong> Web. The<br />

Tm mapping method does not need to use ei<strong>the</strong>r bacterial cultures or a sequencing<br />

analysis, and <strong>the</strong>refore rapid, easy, and less expensive identification <strong>of</strong> pathogens is<br />

possible.<br />

RESULTS: To evaluate <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> Tm mapping method, we first performed<br />

blind tests using <strong>the</strong> 107 kinds <strong>of</strong> bacterial DNA registered in <strong>the</strong> database. In <strong>the</strong> 107<br />

trials, 106 Tm mapping results matched with <strong>the</strong> pre-sequenced bacterial DNA. Next,<br />

using 140 bacterial colonies (51<br />

bacterial species), we evaluated <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> Tm mapping method compared<br />

with <strong>the</strong> sequencing method. As a result, <strong>the</strong> identification rate was 97%. Finally, using<br />

42 patient samples (22 from whole blood, 11 <strong>of</strong> amniotic fluid, nine <strong>of</strong> cerebrospinal<br />

fluid), we evaluated <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> Tm mapping method compared with <strong>the</strong><br />

sequencing method. Excluding <strong>the</strong> eight samples not suitable for <strong>the</strong> Tm mapping<br />

method because <strong>the</strong> Difference Values were greater than 0.5 (our judgment criteria),<br />

97% (33/34) <strong>of</strong> <strong>the</strong> Tm mapping results matched with <strong>the</strong> sequencing results.<br />

CONCLUSION: The Tm mapping method would be especially useful for infectious<br />

diseases that require prompt treatment, such as sepsis and bacterial meningitis, and<br />

would contribute to <strong>the</strong> rescue <strong>of</strong> patients with severe infections, as well as a decrease<br />

in <strong>the</strong> development <strong>of</strong> antibiotic resistance.<br />

B-103<br />

Potential Utility <strong>of</strong> a Novel Automated Point-<strong>of</strong>-Care Image Based<br />

Hematology Analyzer for <strong>the</strong> Diagnosis <strong>of</strong> Malaria as Part <strong>of</strong> a Routine<br />

CBC<br />

M. B. Jorgensen, R. A. Levine, S. C. Wardlaw. QDx, Inc., Branford, CT<br />

Background: Prompt and accurate malaria diagnosis permits effective treatment,<br />

decreases drug resistance development, and directs epidemiologic responses. When<br />

malaria is diagnosed, its treatment is based, in part, upon <strong>the</strong> patient’s hematologic state,<br />

including <strong>the</strong> hemoglobin concentration, platelet count, and degree <strong>of</strong> parasitemia; <strong>the</strong><br />

latter is important in determining <strong>the</strong> severity <strong>of</strong> <strong>the</strong> infection and monitoring <strong>the</strong><br />

patient’s response to <strong>the</strong>rapy. The objective <strong>of</strong> this study was to determine <strong>the</strong> ability<br />

<strong>of</strong> a new image-based hematology analyzer to detect intraerythrocytic infection with<br />

Plasmodium falciparum in whole blood samples.<br />

Methods: 300 nL blood samples were placed in a novel transparent four micron<br />

high chamber containing acridine orange and an isovolumetric sphering agent in a<br />

localized area. The sample was digitally imaged with sequential transillumination at<br />

413 nm and epi-illumination at 470 nm. Images were captured showing <strong>the</strong> optical<br />

density (OD) <strong>of</strong> <strong>the</strong> monolayer <strong>of</strong> red blood cells (RBCs) and fluorescent emission<br />

due to <strong>the</strong> nucleic-acid selective fluorophore. P. falciparum infected blood cultures<br />

and human specimen were analyzed with available results within ten minutes, also<br />

reporting a full complete blood count (CBC).<br />

Results: Uninfected sphered RBCs exhibited homogenous optical density (A, dashed<br />

arrows), whereas infected RBCs exhibited localized areas <strong>of</strong> decreased optical<br />

density due to <strong>the</strong> displacement <strong>of</strong> hemoglobin by <strong>the</strong> parasite (A, solid arrows). The<br />

concomitant fluorescent images revealed no fluorescent emission in uninfected RBCs<br />

(B, dashed arrows) and <strong>the</strong> presence <strong>of</strong> fluorescent falciparum merozoites (B, solid<br />

arrows) in <strong>the</strong> areas <strong>of</strong> OD decrements. When combined, <strong>the</strong>se two measurements<br />

provided a sensitive and specific (100% sensitivity and 97.7% specificity at 0.025%<br />

parasitemia) method for <strong>the</strong> detection <strong>of</strong> P. falciparum in sub-microliter blood<br />

samples.<br />

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Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-105<br />

The Use <strong>of</strong> Procalcitonin in <strong>the</strong> Clinical Practice<br />

U. Ray, M. Smillie, N. Jordan, J. Houston. Royal Hobart Hospital<br />

University <strong>of</strong> Tasmania, Hobart, Australia<br />

Conclusion: The detection, confirmation, and quantification <strong>of</strong> malaria infection as<br />

part <strong>of</strong> <strong>the</strong> performance <strong>of</strong> an automated CBC is feasible. Preliminary observations<br />

also indicate potential utility in diagnosing Babesia.<br />

B-104<br />

Significant Increase <strong>of</strong> Sensitivity on Rapid Influenza Antigen Assays<br />

Using Silver Amplification Immunochromatography Method.<br />

S. C. Kimura, H. OHTO, H. YAMAGUCHI, S. FUKUOKA, E. NAKAMA,<br />

Y. UMEDA. Showa University Nor<strong>the</strong>rn Yokohama Hospital, Yokohama<br />

City, Japan<br />

Background: Rapid diagnosis <strong>of</strong> influenza is commonly performed with<br />

immunochromatography method (IC) using specimens taken from upper respiratory<br />

tract. Although IC is easy and relatively cheap, its sensitivity is not perfect especially<br />

in early stage <strong>of</strong> disease because <strong>of</strong> low concentration <strong>of</strong> viral antigens. Applying a<br />

newly developed “silver amplification” principle, we generated a new assay method<br />

to increase sensitivity. The aim <strong>of</strong> this study is if our method has higher sensitivity and<br />

specificity than conventional IC assays.<br />

Materials and Methods: One hundred and twenty cases <strong>of</strong> influenza-like symptoms;<br />

fever, rhinorrhea, cough, and/or general fatigue who visited pediatrics department <strong>of</strong><br />

our hospital from November 2011 to April 2012 were entitled. Cotton swab specimens<br />

were applied to Fuji Drychem IMMUNO AG1 TM (FUJIFILM Medical, Tokyo, Japan).<br />

Simultaneously, a conventional IC method was performed with Quick Chaser FLU A/<br />

B TM by Mizuho Medy (Tosu, Japan). A real time PCR with TaqMan probe was also<br />

done for gold standard. This study was authorized by local ethic committee.<br />

Results: With silver amplification method, 23, 15 cases were influenza A, B positive,<br />

respectively. On <strong>the</strong> o<strong>the</strong>r hand, 23, 8 cases were A, B, positive with conventional<br />

assays. PCR results were positive in all <strong>the</strong> cases which showed positive in new<br />

method, negative in conventional assays. Their virus concentration ranged 10 5 to 10 9<br />

copies/ml.<br />

Discussion: Though statistically not significant, <strong>the</strong> silver amplification method<br />

showed higher sensitivity for influenza B. Because <strong>of</strong> photo-developing principle, its<br />

sensitivity was reported to increase 8 to 16 times. This analyzer is small (18x20x11cm)<br />

and light (1.8kg), it is suitable for bedside testing. Since number <strong>of</strong> cases is limited,<br />

more data are required to confirm <strong>the</strong> result.<br />

Conclusion: Our novel assay method using silver amplification has high potentiality<br />

to increase sensitivity <strong>of</strong> rapid bedside testing.<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

Aim: To study <strong>the</strong> role <strong>of</strong> Procalcitonin (PCT) in <strong>the</strong> diagnosis <strong>of</strong> systemic bacterial<br />

infection in <strong>the</strong> clinical practice at <strong>the</strong> Royal Hobart Hospital.<br />

Introduction: The diagnosis <strong>of</strong> systemic bacterial infection poses still a problem in<br />

<strong>the</strong> clinical setting throughout <strong>the</strong> globe. Both <strong>the</strong> clinicians and <strong>the</strong> laboratorians face<br />

<strong>the</strong> difficult task <strong>of</strong> deriving <strong>the</strong> appropriate diagnosis so that appropriate antibiotic<br />

can be instituted in time. The inflammatory conditions are monitored by measuring<br />

<strong>of</strong> C-reactive protein (CRP), white blood cells(WCC),erythrocyte sedimentation<br />

rate(ESR) in <strong>the</strong> initial work-up and <strong>the</strong> tissues and <strong>the</strong> fluids are sent for culture<br />

and antimicrobial sensitivity. The antimicrobial culture and sensitivity take 48 to<br />

72 hours. Until <strong>the</strong> arrival <strong>of</strong> PCT, <strong>the</strong>re was no laboratory test available for <strong>the</strong><br />

earliest diagnosis <strong>of</strong> systemic bacterial infection. Procalcitonin (PCT) is a 13kd<br />

polypeptide, transcribed by Calci-1 gene which also codes for thyroid medullary<br />

hormone-Calcitonin is syn<strong>the</strong>sized by trigger <strong>of</strong> bacterial capsular antigen. PCT can<br />

be syn<strong>the</strong>sized by most <strong>of</strong> <strong>the</strong> body cells but predominant syn<strong>the</strong>sis takes place during<br />

<strong>the</strong> systemic bacterial infection. Within initial 3-6hours <strong>of</strong> <strong>the</strong> systemic invasion <strong>of</strong><br />

bacteria <strong>the</strong> syn<strong>the</strong>sis <strong>of</strong> PCT starts and in <strong>the</strong> local bacterial as well as viral infection<br />

PCT syn<strong>the</strong>sis does not take place, although in many systemic fungal infection PCT<br />

levels have been found to be elevated.PCT level more than 0.5ng/ml is diagnostic <strong>of</strong><br />

systemic bacterial infection and <strong>the</strong> degree <strong>of</strong> elevation varies with <strong>the</strong> severity <strong>of</strong><br />

systemic bacterial infection. With <strong>the</strong> institution <strong>of</strong> appropriate antimicrobials <strong>the</strong>rapy<br />

PCT levels start coming down.<br />

Methods: We measured CRP, WCC,PCT and culture and sensitivity <strong>of</strong> urine and<br />

blood for patients admitted to ICU and medical wards at <strong>the</strong> Royal Hobart Hospital.<br />

CRP assay was done by Architect ci 8200, PCT assay by BRAHMS PCT-Q (rapid<br />

assay),WCC by Sysmex Cell Counter and blood/urine cultures were done by<br />

conventional petri dish culture -sensitivity plates.<br />

Results: CRP and WCC are raised universally in all <strong>the</strong> clinical cases with<br />

inflammation. PCT >0.5ng/ml was elevated only in <strong>the</strong> systemic bacterial infections<br />

and not in any viral infection and autoimmune inflammatory conditions(p 5 /<br />

μL), leukocyte esterase (LE), leukocyte nitrite (LN) and ASP (cut<strong>of</strong>f, >10,000/mL). A<br />

positive urine bacterial culture was defined as growth <strong>of</strong> one or two uropathogens at<br />

a concentration higher than 10 4 CFU/mL. Results <strong>of</strong> <strong>the</strong>se three routine tests with or<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

without ASP were compared against corresponding urine culture (reference method).<br />

The performance <strong>of</strong> <strong>the</strong>se tests in association with culture was expressed in sensitivity<br />

(SN), specificity (SP) and negative predictive value (NPV).<br />

Results:Laboratory results <strong>of</strong> 480 patients were collected at random. The demographic<br />

performance (SN, SP, NPV) <strong>of</strong> individual test was 89.7%, 55.1% and 82.8% for LC,<br />

85.5%, 58.6% and 78.7% for LE, 36.8%, 92.1% and 56.6% for NIT, and 46.6%,<br />

83.8% and 58.3% for ASP, respectively. When LC, LE and NIT were combined, SN,<br />

SP and NPV were 92.5%, 49.3% and 85.5%, respectively When ASP was added to<br />

this combined panel, SN, SP and NPV were 94.4%, 46.7% and 88.3%, respectively.<br />

Conclusion: Whenusing alone, ASP is not superior to traditional urinalysis as a<br />

screening test for justify urine culture. However, <strong>the</strong> performance increases by<br />

including ASP in <strong>the</strong> traditional urinalysis, implicating that ASP may be potential and<br />

benefit traditional panel <strong>of</strong> urinalysis in terms <strong>of</strong> SN and NPV.<br />

B-108<br />

False positive rate <strong>of</strong> a 4th generation HIV-1 antigen/antibody combo<br />

test relative to gender and pregnancy state<br />

V. L. Ng, F. Saechao. Alameda Health System/Highland General Hospital,<br />

Oakland, CA<br />

Background: In late 2010 we implemented a combination HIV-1 antigen and antibody<br />

test (HIV-1 Ag/Ab; Abbott Diagnostics Division, Abbott Park, IL, USA). A few false<br />

positive results from pregnant non-HIV-1 infected women at delivery prompted<br />

us to review our overall false positive rate relative to gender and pregnancy state.<br />

Methods: All HIV-1 Ag/Ab testing and interpretation was performed in accordance<br />

with manufacturer’s recommendations. All specimens yielding a “reactive” HIV-1<br />

Ag/Ab result were sent for confirmatory testing by Western Blot (WB) and <strong>of</strong>ten HIV<br />

load (HIVL) quantification. For an HIV-1 Ag/Ab “reactive” result, a true positive<br />

was defined as <strong>the</strong> same specimen yielding a positive Western Blot (WB), a false<br />

positive yielding a negative or indeterminate WB and undetectable HIVL, and an<br />

indeterminate yielding an indeterminate WB with no HIVL determined.<br />

Results: From December 2011 through January <strong>2013</strong> we performed 9489 HIV-1 Ag/<br />

Ab tests. 153 specimens from 122 patients were reactive for an overall 1.6% positivity<br />

rate (95% confidence interval, CI, <strong>of</strong> 1.4 - 1.8%). Of <strong>the</strong>se 122 patients, 14 (11.5%,<br />

95% CI 6.7 - 18.8%) had false positive and 4 (3.2%; 95% CI 1.3 - 8%) indeterminate<br />

results. Gender specific analysis revealed:<br />

Females % (95% CI) <strong>of</strong> Females Males % (95% CI) <strong>of</strong> Males<br />

Total 35 87<br />

# true positives 23 65.7% (49-79%)* 81 93.1% (85-97%)*<br />

# false positives 8 22.9% (12-39%) 6 6.9% (3-14%)<br />

# indeterminate 4 11.4% (4.5-26%) 0 0.0% (0-4%)<br />

*positive predictive value (PPV)<br />

The false positive rates between females and males were not statistically different but<br />

<strong>the</strong> true positive rates were. Twelve <strong>of</strong> <strong>the</strong> 35 (34%) females with “reactive” HIV-1<br />

Ag/Ab results were pregnant. Of <strong>the</strong>se 12, seven (59%; 95% CI 32-81%) had true<br />

positive results, four (25%, 95% CI 14 - 61%) false positive and 1 an indeterminate<br />

result.<br />

Conclusion: Our overall ~11.5% false positive rate, lower 65.7% PPV for women and<br />

even lower 59% PPV for pregnant women allows us to individualize our interpretation<br />

<strong>of</strong> HIV-1 Ag/Ab reactive results while awaiting confirmatory testing results.<br />

B-109<br />

Maximising Cost Effectiveness <strong>of</strong> Infectious Disease Serology Controls<br />

Through Consolidation <strong>of</strong> Analytical Parameters<br />

S. Doherty, S. Picton, A. Veerasekaran, P. Armstrong, M. L. Rodriguez, J.<br />

Campbell, S. P. Fitzgerald. Randox Laboratories Limited, Crumlin, United<br />

Kingdom<br />

Introduction: Currently to meet <strong>the</strong> infectious disease serology quality control<br />

requirements <strong>of</strong> laboratories, a multitude <strong>of</strong> controls/programmes are needed due<br />

to <strong>the</strong> limited number <strong>of</strong> analytical parameters in each <strong>of</strong> <strong>the</strong> controls encountered.<br />

These represent both a time and financial burden in <strong>the</strong> assessment <strong>of</strong> laboratory<br />

performance.<br />

Consolidating parameters in a minimal amount <strong>of</strong> controls maximises cost<br />

effectiveness (i.e. reducing time, shipping costs, different suppliers, participation<br />

costs) simplifying participation in <strong>the</strong> required external quality assessment schemes.<br />

Relevance This study reports on <strong>the</strong> evaluation <strong>of</strong> <strong>the</strong> applicability <strong>of</strong> a new series<br />

<strong>of</strong> consolidated control material for <strong>the</strong> simplified assessment <strong>of</strong> infectious disease<br />

serology on a range <strong>of</strong> analytical systems for use in internal and external quality<br />

control applications.<br />

Methodology: As two thousand five hundred serology laboratories participated in<br />

this study, it was considered that sufficient levels <strong>of</strong> data would be returned. Lists<br />

<strong>of</strong> parameters <strong>of</strong> interest, methods, instruments and reagents were established<br />

accordingly and grouped into <strong>the</strong> following related panels, HIV/Hepatitis (anti-HIV-1,<br />

anti-HIV-2, anti-HIV-1&2 Combi, anti-HCV, Anti-HBc, anti-HTLV-I, anti HTLV-II,<br />

anti HTLV-1 and 2 Combi, anti-CMV, HBsAg), ToRCH (anti-toxoplasma IgG, antitoxoplasma<br />

IgM, anti-rubella IgM, anti-rubella IgG, anti-CMV IgG, anti-CMV IgM,<br />

anti-HSV1 IgG, anti-HSV 2 IgG, anti-HSV-1&2 IgG Combi), Epstein Barr Virus<br />

(anti-EBNA IgG, anti-EBV VCA IgG, anti EBV VCA IgM) and Syphilis (1 parameter<br />

categorised by method). Each participant was sent a set <strong>of</strong> blind control materials to<br />

be assayed (including one positive and one negative control). Positive controls: all <strong>the</strong><br />

parameters for <strong>the</strong> different panels were included at sufficiently high levels in a single<br />

corresponding control in order to elicit a strong reactive response for all <strong>the</strong> various in<br />

house and commercially available reagent materials. Negative controls: material with<br />

non reactive response to <strong>the</strong> parameters <strong>of</strong> interest.<br />

Results: The assessment <strong>of</strong> <strong>the</strong> positive control samples showed positive reported<br />

responses with an overall percentage agreement >85% for <strong>the</strong> majority <strong>of</strong> <strong>the</strong><br />

parameters in each panel: HIV/Hepatitis (85.7% to100 %), Epstein Barr Virus (96.8%<br />

to 97.2%), syphilis (92.3% to 100%), ToRCH panel (93.0-99.2% for 8 out <strong>of</strong> 9<br />

parameters, anti-HSV2 IgG was method dependent). The negative control samples<br />

exhibited non reactive response with an overall percentage agreement >88.6% for all<br />

<strong>the</strong> parameters.<br />

Conclusion: This study indicates that <strong>the</strong> serology control material in which <strong>the</strong><br />

positive samples contain all parameters pertaining to <strong>the</strong> different panels, elicits a<br />

positive response with a favourable overall percentage agreement for all <strong>the</strong> panels<br />

tested. The ToRCH panel also exhibited good agreement for <strong>the</strong> majority <strong>of</strong> <strong>the</strong><br />

parameters, <strong>the</strong> levels <strong>of</strong> anti-HSV 2 IgG were insufficient to elicit positive response<br />

in <strong>the</strong> sample provided for some methods. All <strong>the</strong> panels evaluated presented good<br />

consensus for <strong>the</strong> negative control samples. Consolidating parameters in a minimal<br />

amount <strong>of</strong> controls is beneficial as this not only minimises <strong>the</strong> number <strong>of</strong> controls<br />

to be used but also maximises cost-effectiveness. This is applicable as it minimises<br />

<strong>the</strong> time required for <strong>the</strong> preparation <strong>of</strong> control materials, reducing potential errors,<br />

storage requirements when <strong>the</strong>se controls are used for both internal and external<br />

quality control applications.<br />

B-110<br />

HLA-DP/DQ polymorphisms associate with <strong>the</strong> susceptibility <strong>of</strong> HBV<br />

infection in Chinese Uygur population<br />

Y. Liao, Y. Li, B. Cai, S. Shang, L. Wang. West China Hospital, Sichuan<br />

University, Chengdu, China<br />

Background: Chronic Hepatitis B is one <strong>of</strong> <strong>the</strong> most prevalent infectious diseases<br />

in <strong>the</strong> world. Several studies have revealed that human leukemia antigen (HLA) DP,<br />

DQ polymorphisms (rs3077, rs9277535, rs7453920) associate with <strong>the</strong> susceptibility<br />

<strong>of</strong> hepatitis b virus (HBV) infection in <strong>the</strong> Asian population including Janpanese,<br />

Korean and Chinese Han. Few studies involved ethnicities living in west China,<br />

such as <strong>the</strong> Uygur population, which has a remarkably different living habit from <strong>the</strong><br />

Chinese Han. Besides, <strong>the</strong>y are more predisposed to infection <strong>of</strong> genotype D HBV<br />

which is seldom observed in <strong>the</strong> Han population. Thus our study aims to investigate<br />

<strong>the</strong> correlation between HLA-DP, DQ polymorphisms and <strong>the</strong> susceptibility <strong>of</strong> HBV<br />

infection in <strong>the</strong> Uygur population.<br />

Methods: HLA-DP/DQ rs3077, rs9277535, rs7453920 genotypes were determined<br />

by High Resolution Melting Curve, and <strong>the</strong> results were validated through sequencing<br />

<strong>of</strong> <strong>the</strong> PCR product.<br />

Results: In total, we included 390 Uygur subjects from <strong>the</strong> west part <strong>of</strong> China,<br />

including 192 Uygur patients and 188 Uygur healthy controls, 234 male and 152<br />

female subjects. Results showed that rs3077 (P=0.005), rs7453920 (P=0.005) and<br />

rs9277535 (P=0.008) independently correlated with <strong>the</strong> susceptibility <strong>of</strong> HBV<br />

infection. Logistic regression analysis with adjustment for covariates including age,<br />

sex and <strong>the</strong> three single nucleotide polymorphisms (SNPs) revealed that rs9277535<br />

was significantly related to <strong>the</strong> increased risk <strong>of</strong> HBV persistent infection (P=0.022,<br />

OR=1.64,95% Confidence Interval [CI]=1.08 - 2.49), while rs7453920 correlated<br />

with a reduced risk <strong>of</strong> HBV infection (P=0.009, OR=0.56, 95%CI= 0.37 - 0.87).<br />

Detailed results were shown in Table 1.<br />

Conclusion: Our study confirmed that HLA-DP, DQ polymorphisms correlated with<br />

<strong>the</strong> susceptibility <strong>of</strong> HBV infection in <strong>the</strong> Uygur population, especially HLA-DQ<br />

rs7453920, which has remarkable effect on <strong>the</strong> HBV infection.<br />

A202 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Genotype distributions <strong>of</strong> <strong>the</strong> three SNPs between Uygur HBV group and <strong>the</strong> healthy group<br />

Genotype HBV Healthy Control OR 95%CI P<br />

rs3077<br />

AA 75(39.1) 98(55.7) 1.00<br />

AG 84(43.8) 59(33.5) 1.86 1.19-2.91 0.006<br />

GG 33(17.2) 19(10.8) 2.27 1.20-4.30 0.011<br />

rs9277535<br />

AA 89(46.6) 113(60.1) 1.00<br />

AG 70(36.6) 61(32.4) 1.46 0.94-2.27 0.094<br />

GG 32(16.8) 14(7.4) 2.90 1.46-5.77 0.002<br />

rs7453920<br />

GG 128(67.4) 103(53.9) 1.00<br />

AG 58(30.5) 75(39.3) 0.62 0.41-0.96 0.03<br />

AA 4(2.1) 13(6.8) 0.25 0.08-0.78 0.011<br />

B-111<br />

Comparison <strong>of</strong> four commercial assays for human papillomavirus<br />

detection in consecutive clinical laboratory samples including men and<br />

women.<br />

T. Santa Rita 1 , M. Caixeta 2 , C. Chianca 1 , L. Velasco 2 , L. Abdalla 2 , S. Costa 2 ,<br />

G. Barra 2 . 1 Universidade de Brasília, Brasília, Brazil, 2 Laboratorio Sabin,<br />

Brasília, Brazil<br />

Background: Currently, <strong>the</strong>re are several commercial assays for Human<br />

Papillomavirus (HPV) detection. However, <strong>the</strong>re are substantial differences between<br />

<strong>the</strong>ir proposals, such as genotypes detected, methodology, and viral genomic target<br />

region that confer unique analytical performances for each one. Here, we compare<br />

four commercial HPV assays in consecutive samples from our HPV detection<br />

routine that’s include 1/3 <strong>of</strong> men and 2/3 women.<br />

Methods: The assays were Hybrid Capture (HC2-Qiagen), Papillocheck (Greinerbio-one),<br />

Clart-HPV2 (Biomerieux), and Real-Time High-Risk HPV (Abbott-PCR).<br />

Ninety two (61 women and 31 men) consecutive genital samples were included.<br />

Requesting physician performed <strong>the</strong> samples collections in Specimen Transport<br />

Medium (Qiagen). Results were shown as HPV positivity (any HPV detected) and<br />

High-Risk HPV positivity (at least one HR-HPV detected). Statistical analysis were<br />

chi-square test and Cohen’ Kappa agreement coefficient. In divergence investigation,<br />

fail was characterized by a negative result in a sample classified positive in any o<strong>the</strong>r<br />

method, except if <strong>the</strong> genotype was not detected by <strong>the</strong> method.<br />

Results: The overall concordance was 78.7% for women and 45.2% for men. HPV<br />

positivity was 19.7, 24.6, 27.9 and 27.9% (P=0.69) in women and 29.0, 58.1, 67.7<br />

and 32.3% in men (P=0.0035) for HC2, Papillocheck, Clart-HPV2 and Abbott-PCR,<br />

respectively. HR-HPV positivity was 18.0, 19.7, 24.6 and 27.9% (P=0.58) in women<br />

and 22.6, 38.7, 48.4 and 32.3% in men (P=0.18) for HC2, Papillocheck, Clart-HPV2<br />

and Abbott-PCR, respectively. The concordance and kappa between each method<br />

are shown in Table 1. HC2, Papillocheck, Clart-HPV2 and Abbott-PCR fail in 13.1,<br />

9.8, 8.2 and 0% <strong>of</strong> <strong>the</strong> samples in women and in 35.5, 12.9, 3.2, and 12.9% in men,<br />

respectively. Not detected genotype account for 8.2% and 19.3% <strong>of</strong> <strong>the</strong> divergence in<br />

women and men, respectively.<br />

Conclusion: For women, HC2, Papillocheck, Clart-HPV2 and Abbott-PCR shown<br />

similar analytic performances. For men, Papillocheck and Clart-HPV2 shows better<br />

analytic performance than HC2 and Abbott-PCR.<br />

The concordance (%) and kappa between each HPV assay<br />

HPV Detection<br />

HR HPV Detection<br />

Method 1 Method 2 Concordance Kappa Agreement Concordance Kappa Agreement<br />

HC2 Papillocheck 91.80 0.763 Good 93.44 0.778 Good<br />

HC2 Clart-HPV2 91.80 0.776 Good 93.44 0.806 Very good<br />

Women HC2 Abbott-PCR 85.25 0.597 Moderate 90.16 0.726 Good<br />

Papillocheck Clart-HPV2 86.89 0.662 Good 90.16 0.709 Good<br />

Papillocheck Abbott-PCR 83.61 0.577 Moderate 88.52 0.686 Good<br />

Clart-HPV2 Abbott-PCR 90.16 0.755 Good 93.44 0.831 Very good<br />

Method 1 Method 2 Concordance Kappa Agreement Concordance Kappa Agreement<br />

HC2 Papillocheck 70.97 0.456 Moderada 83.87 0.632 Good<br />

HC2 Clart-HPV2 48.39 0.101 Poor 67.74 0.343 Fair<br />

Men HC2 Abbott-PCR 77.42 0.469 Moderate 83.87 0.599 Moderate<br />

Papillocheck Clart-HPV2 77.42 0.521 Moderate 83.87 0.668 Good<br />

Papillocheck Abbott-PCR 74.19 0.512 Moderate 90.32 0.786 Good<br />

Clart-HPV2 Abbott-PCR 64.52 0.370 Fair 80.87 0.674 Good<br />

B-112<br />

Comparison <strong>of</strong> Disk Diffusion and Vitek 2 for Antimicrobial<br />

Susceptibility Test in Clinical Strains <strong>of</strong> Pseudomonas aeruginosa.<br />

A. Chebabo, R. G. Pereira, L. Honorio, V. Martins, D. Thielmann, O.<br />

Fernandes. DASA, Rio de Janeiro, Brazil<br />

Background: Numerous studies have reported errors involving antimicrobial<br />

susceptibility tests (AST) for Pseudomonas aeruginosa, especially against β-lactams<br />

antimicrobial agents1. Because <strong>of</strong> those data, most <strong>of</strong> laboratories still use agar disk<br />

diffusion (DD) for AST <strong>of</strong> P. aeruginosa. Vitek 2 Advanced Expert System (AES) has<br />

improved ability to identify resistance, but discrepancies still occur1.<br />

Objective: We compared Vitek 2 AES to agar disk diffusion for testing susceptibility<br />

<strong>of</strong> P. aeruginosa isolates to amikacin, aztreonam, cefepime, ceftazidime, cipr<strong>of</strong>loxacin,<br />

colistin, imipenem, meropenem and piperacillin-tazobactam.<br />

Methods: DD AST was performed according to CLSI criteria2 and was compared<br />

to Vitek 2 for category agreement (CA). AST-N105 card was used for Vitek 2 AST.<br />

Discrepancies were categorized as very major errors (VME) when Vitek 2 indicated<br />

susceptibility and DD indicated resistance, major errors (ME) when Vitek 2 indicated<br />

resistance and DD indicated susceptibility and minor errors (mE) when Vitek 2<br />

indicated intermediate susceptibility and DD indicated susceptibility or resistance or<br />

when Vitek 2 indicated susceptibility or resistance and DD indicated intermediate<br />

susceptibility3.<br />

Results: We tested 99 clinical strains <strong>of</strong> P. aeruginosa from blood culture (n=27),<br />

bronchoalveolar lavage (n=35), ca<strong>the</strong>ter tip (n=16) and surgical secretions (n=9).<br />

The overall CA for all 9 antimicrobials was 90%. Discrepancies were classified<br />

as mE in 9.2% <strong>of</strong> tests, ME were found in 0,3% <strong>of</strong> cases and VME in 0,4%. One<br />

VME disagreement was noted for each <strong>of</strong> <strong>the</strong> following antimicrobials: amikacin<br />

(1.0%), aztreonam (1.0%), cipr<strong>of</strong>loxacin (1.0%) and meropenem (1.0%). One ME<br />

disagreement was noted for ceftazidime (1.0%), colistin (1.0%) and imipenem<br />

(1.0%). With <strong>the</strong> exception to colistin, mE disagreements were detected in all<br />

antimicrobials tested, with 23.2% for aztreonam, 15.2% for piperacillin-tazobactan,<br />

11.1% for cefepime, 10.1% for amikacin and ceftazidime, 6.1% for imipenem, 5.1%<br />

for cipr<strong>of</strong>loxacin and 2.0% for meropenem.<br />

Conclusions: Although DD is not <strong>the</strong> reference method, o<strong>the</strong>r studies showed that<br />

DD is more accurate than automated methods1. FDA minimal performance guidelines<br />

for TSA indicates that CA should be > 90%, ME should be < 3% and VME should be<br />

90%. Although most <strong>of</strong> <strong>the</strong> disagreements were mE, Vitek 2 is not accurate for most<br />

β-lactams and should not be used for AST in P. aeruginosa isolates in <strong>the</strong> clinical<br />

microbiology lab.<br />

References:<br />

1. Sapino B, Mazzucato S, Solinas M, Gion M, Grandesso S. 2009. Comparison<br />

<strong>of</strong> different methods for determining beta-lactam susceptibility in Pseudomonas<br />

aeruginosa. New Microbiol;35:491-94.<br />

2. Clinical and Laboratory Standards Institute . Performance standards for<br />

antimicrobial susceptibility testing, 15th informational supplement, M100-S22, 2012.<br />

3. Ligozzi M, Bernini C, Bonora MG, de Fatima M, Zuliane J, Fontana R. 2002.<br />

Evaluation <strong>of</strong> VITEK 2 System for identification and antimicrobial susceptibility<br />

testing <strong>of</strong> medically relevant Gram-positive cocci. J Clin Microbiol;40(5):1681-86.<br />

B-113<br />

Performance Evaluation <strong>of</strong> a Monoclonal Based Fecal Calprotectin<br />

ELISA and Comparison with an Established Assay<br />

J. A. Erickson 1 , T. L. Van De Walle 2 , D. G. Grenache 3 . 1 ARUP Institute<br />

for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake<br />

City, UT, 2 Parasitology and Fecal Testing Technical Section, ARUP<br />

Laboratories, Salt Lake City, UT, 3 University <strong>of</strong> Utah School <strong>of</strong> Medicine,<br />

Department <strong>of</strong> Pathology, Salt Lake City, UT<br />

Background: Calprotectin is a calcium and zinc binding protein that accounts<br />

for approximately 60% <strong>of</strong> <strong>the</strong> neutrophil cytosolic protein content. Calprotectin<br />

is a member <strong>of</strong> <strong>the</strong> S100 protein family and has anti-microbial activities. Fecal<br />

calprotectin has clinical utility as a marker <strong>of</strong> intestinal inflammation and can help<br />

distinguish between functional symptoms and organic bowel diseases. It is also useful<br />

for monitoring mucosal healing and identifying disease relapse. The objectives <strong>of</strong><br />

this study were to assess <strong>the</strong> performance characteristics <strong>of</strong> <strong>the</strong> monoclonal antibody<br />

based Bühlmann Calprotectin ELISA and to complete a method comparison study<br />

relative to <strong>the</strong> polyclonal Calpro PhiCal ELISA.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A203


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

Methods: Fecal calprotectin was measured according to each assay manufacturer’s<br />

instructions. Samples included deidentified, residual random stool specimens<br />

sent to ARUP Laboratories and provided by Alpco Diagnostics. The performance<br />

characteristics evaluated were analytical sensitivity, linearity, precision including<br />

<strong>the</strong> extraction step and not <strong>the</strong> ELISA exclusively, analyte stability and verification<br />

<strong>of</strong> <strong>the</strong> recommended reference interval. Accuracy was investigated by means <strong>of</strong> a<br />

method comparison study against <strong>the</strong> PhiCal assay. The project was approved by <strong>the</strong><br />

University <strong>of</strong> Utah’s Internal Review Board.<br />

Results: The limit <strong>of</strong> blank was


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-116<br />

Amplification and Detection <strong>of</strong> <strong>the</strong> BD MAX ExK TNA-2<br />

Specimen Processing Control Target for Diagnostic Purposes in a Wide<br />

Range <strong>of</strong> Reverse Transcription (RT)/Annealing Temperatures<br />

P. Larouche, D. Dugourd, I. Bourque, R. Labourdette, C. Lippé, B. Leclerc,<br />

V. Jean, S. Champetier, D. Beaulieu, J. Pinard-Lachapelle, J. Cormier, C.<br />

Ménard, C. Roger-Dalbert. BD Diagnostics, Quebec, QC, Canada<br />

Background: The BD MAX System is a next generation sample-to-answer<br />

molecular testing platform. The new BD MAX TNA (for Total Nucleic Acid)<br />

suite, part <strong>of</strong> <strong>the</strong> Open System Reagent (OSR) series, combines specimen-specific<br />

extraction reagents (ExK) with universal PCR reagents (MMK) allowing users to<br />

extract, purify and amplify multiple RNA and DNA targets from a single biological<br />

specimen with <strong>the</strong>ir own user defined protocols. A Specimen Processing Control<br />

(SPC), consisting <strong>of</strong> an armored RNA incorporated into <strong>the</strong> extraction reagents<br />

controls for extraction efficiency, reagent integrity and PCR inhibition by <strong>the</strong><br />

sample. The objective <strong>of</strong> this study was to demonstrate <strong>the</strong> amplification <strong>of</strong> <strong>the</strong> SPC<br />

over RT/annealing temperatures ranging from 55 ºC to 65 ºC, temperatures which<br />

accommodate most designs <strong>of</strong> target-specific primers and probes.<br />

Methods: Total nucleic acid extraction and amplification were performed without<br />

clinical sample, using <strong>the</strong> BD MAX System with BD MAX ExK TNA-2*, specific<br />

for stool and cerebrospinal fluid specimens, and BD MAX TNA MMK(SPC)*, a<br />

universal master mix incorporating SPC primers and probe. The amplification <strong>the</strong>rmal<br />

pr<strong>of</strong>ile consisted <strong>of</strong> an activation step, reverse transcription (55, 60 or 65 ºC), and 45<br />

cycles <strong>of</strong> a 2-step PCR with annealing performed at 55, 60 or 65 ºC. A threshold <strong>of</strong><br />

100 units in endpoint fluorescence values (Quasar-705) was set to consider positive<br />

amplification.<br />

Results: A positive amplification signal was obtained for all conditions (n=48). A<br />

mean cycle threshold (Ct) <strong>of</strong> 25.99 and a mean Quasar-705 endpoint fluorescence <strong>of</strong><br />

3143 were achieved. There was no statistical difference observed between tested RT/<br />

annealing temperatures for Ct (p=0.659) or endpoint fluorescence (p=0.167).<br />

Conclusion: The BD MAX ExK TNA-2 Specimen Processing Control target is<br />

consistently amplified over an RT/annealing temperature range <strong>of</strong> 55 to 65 ºC, which<br />

gives users flexibility to design compatible primers and probes solutions for <strong>the</strong><br />

detection <strong>of</strong> <strong>the</strong>ir RNA/DNA targets over a wide temperature range.*The BD MAX<br />

ExK TNA-2 and BD MAX TNA MMK(SPC) are not available for sale or use.<br />

B-117<br />

The prevalence <strong>of</strong> intestinal parasites in patients from Public Hospital<br />

in Belo Horizonte - Brazil: from 2000 to 2012<br />

L. d. Vasconcellos, L. F. Vieira, D. H. Bücker. Universidade Federal de<br />

Minas Gerais, Belo Horizonte, Brazil<br />

Background: In Brazil, intestinal parasites are a relevant problem in public health<br />

service. The insufficient basic sanitation resources associated to absence <strong>of</strong> personal<br />

hygienic habits favors <strong>the</strong> prevalence <strong>of</strong> <strong>the</strong> parasites among <strong>the</strong> population. The<br />

parasitological stool test is a relevant exam to diagnosis and treatment orientation.<br />

Is important to know <strong>the</strong> prevalence <strong>of</strong> intestinal parasites in your population. The<br />

objective <strong>of</strong> <strong>the</strong> study is to assess <strong>the</strong> prevalence <strong>of</strong> intestinal parasites in patients<br />

from Public Hospital in Belo Horizonte - Brazil, comparing two periods: from 2000<br />

to 2004 and 2011 to 2012.<br />

Methods: In <strong>the</strong> periods <strong>of</strong> May 2000 to March 2004 and January 2011 to December<br />

2012, 24425 and 5409 stool samples were performed, respectively. All <strong>the</strong> samples<br />

were processed by standard techniques, according to <strong>the</strong> clinical hypo<strong>the</strong>ses, such as<br />

Kato-Katz, H<strong>of</strong>fman-Pons-Janer and Baermann-Moraes techniques.<br />

Results: Over <strong>the</strong> period <strong>of</strong> 2000 to 2004, 17,877 samples were negative (73.2%)<br />

and 6575 positive (26.8%). In 2011-12, 4,251 samples were negative (78.5%) and<br />

1,158 positive (21.5%). In <strong>the</strong> both periods, <strong>the</strong> male patients were more affected<br />

(53%). Among <strong>the</strong> positive population, 31.7% were from under 20 years old, 56.6%<br />

were from 21-70 years, and 11.7% were from over 71 years old. One single parasite<br />

was observed in 57% samples, two were found in 29.9%, three in 9.6%, four in 3.1%<br />

and five different parasites were found in 0.4% stool samples. The prevalences <strong>of</strong> <strong>the</strong><br />

parasites are set out in table 1.<br />

Conclusions: In <strong>the</strong> last decade, <strong>the</strong>re were a few changes in <strong>the</strong> pr<strong>of</strong>ile <strong>of</strong> intestinal<br />

parasites in patients from Public Hospital <strong>of</strong> Belo Horizonte - Brazil. E.coli remains<br />

<strong>the</strong> most prevalent parasite in stool sample test. The reduction <strong>of</strong> prevalence <strong>of</strong> some<br />

parasites (Ascaris lumbricoides, Trichuris trichiura and Ancylostoma) may be related<br />

to improvement <strong>of</strong> public sanitation.<br />

Table 1: Prevalence (%) <strong>of</strong> intestinal parasites in patients from Belo Horizonte, Brazil<br />

Parasites 2000-2004 2011-2012<br />

Entamoeba coli 8.3 8.4<br />

Blastocystis hominis 6.6 7.4<br />

Entamoeba histolytica 4.3 5.9<br />

Endolimax nana 4.1 5.1<br />

Giardia lamblia 3.0 3.5<br />

Strongyloides stercoralis 1.3 1.5<br />

Ascaris lumbricoides 1.1 0.2<br />

Schistosoma mansoni 1.0 1.5<br />

Trichuris trichiura 0.6 0.2<br />

Ancylostoma 0.6 0.2<br />

Hymenolepis nana 0.3 0.2<br />

Enterobius vermicularis 0.2 0.1<br />

Isospora belli 0.1 0.1<br />

Taenia sp 0.1 0.1<br />

B-118<br />

Geographical HPV genotype distribution among men and women in<br />

Brazil’s Federal District<br />

M. Caixeta 1 , M. Franco 1 , L. Velasco 1 , L. Abdalla 1 , S. Costa 1 , V. Schimitt 2 ,<br />

G. Barra 1 . 1 Laboratorio Sabin, Brasília, Brazil, 2 Pontifícia Universidade<br />

Católica do Rio Grande do Sul - PUCRS, Porto Alegre, Brazil<br />

Background: The prevalence <strong>of</strong> HPV genotypes varies geographically, and HPV<br />

infection in men is relatively less described and understood. The aim <strong>of</strong> this study<br />

was to describe <strong>the</strong> geographical distribution <strong>of</strong> HPV genotypes and infection<br />

parameters in men and women from Federal District’s administrative regions (AR)<br />

by assessing our clinical laboratory results database. In 2010, <strong>the</strong> Federal District<br />

population is comprised <strong>of</strong> 2.562.963 inhabitants and it’s territory is divided in 31<br />

ARs.<br />

Methods: Through retrospective analysis <strong>of</strong> our HPV genotyping database, we<br />

assessed <strong>the</strong> samples results between February 2009 and May 2011. 4,251 samples<br />

were included all from HPV genotyping test <strong>of</strong> anogenital region. Samples were<br />

grouped by AR and only regions with more than 150 positive cases were included in<br />

<strong>the</strong> analysis (n=3,126). The HPV positivity, type <strong>of</strong> infection (single or multiple) and<br />

genotype distribution were identified and presented by gender and by region. HPV<br />

genotyping was performed using PapilloCheck (Greiner Bio-One), which evaluates<br />

24 different HPV genotypes (18 high-risk and 6 low risk). PUC-RS ethic committee<br />

approved this study.<br />

Results: The ARs included in <strong>the</strong> study were: Aguas Claras, Asa Norte, Asa Sul,<br />

Guara, Lago Norte, Lago Sul, Sobradinho, Sudoeste, and Taguatinga. Positivity was<br />

different among ARs considering all samples (P=0.0068) and in men (P=0.025), but<br />

not in women (P=0.14). Multiple and single infection were similar among all ARs<br />

considering all samples (P=0.68), men (P=0.72) and women (P=0.33). Genotypes<br />

distributions are shown in Figure 1 and, in <strong>the</strong> majority <strong>of</strong> ARs, <strong>the</strong> genotype more<br />

prevalent in men was HPV-6 and in women was HPV-16.<br />

Conclusion: There are geographical differences in HPV genotype distribution and in<br />

positivity among men and women in <strong>the</strong> studied ARs <strong>of</strong> Brazil’s Federal District. In<br />

all ARs, multiple infection has high prevalence and HPV-6 is more prevalent in men<br />

and HPV-16 in women.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

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Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

B-119<br />

Seroprevalence <strong>of</strong> HTLV-1/2 infection and its association with HCV<br />

and HIV infection among population attended in a commercial<br />

laboratory in Rio de Janeiro, Brazil.<br />

I. Bendet 1 , T. S. P. Souza 1 , L. Zanella 2 , A. C. P. Vicente 2 , O. Fernandes 1 .<br />

1<br />

Immunology Division - DASA, Rio de Janeiro, Brazil, 2 Instituto Oswaldo<br />

Cruz, Rio de Janeiro, Brazil<br />

Background: Human T-lymphotropic virus (HTLV) infects around 20 million<br />

people worldwide, with endemic areas in South America, Caribbean and Africa. This<br />

virus infection is endemic in Brazil, where around 2 million people can be infected.<br />

Screening potential blood donors for HTLV is mandatory in Brazil. The mean<br />

prevalence rate <strong>of</strong> HTLV infection in this group, in <strong>the</strong> Brazilian geographic regions,<br />

is quite distinct from 0.04% in Florianópolis, South region, to 1.0% in São Luis,<br />

Nor<strong>the</strong>ast region. In Rio de Janeiro, Sou<strong>the</strong>ast region, <strong>the</strong> seroprevalence is 0.47%.<br />

However, <strong>the</strong> prevalence <strong>of</strong> this infection in general population is largely unknown.<br />

The aim <strong>of</strong> this study was to evaluate <strong>the</strong> seroprevalence <strong>of</strong> HTLV-1/2 infection in Rio<br />

de Janeiro population and <strong>the</strong> association with <strong>the</strong> presence <strong>of</strong> antibodies to HCV and<br />

HIV virus, all <strong>of</strong> <strong>the</strong>m transmitted by sexual or blood contact.<br />

Methods: We analyzed 27.308 samples from <strong>the</strong> laboratory routine with medical<br />

request for HTLV serology from Jun 2010 to Jun 2012. It was also evaluated <strong>the</strong><br />

presence <strong>of</strong> anti-HCV in 23.118 samples and anti-HIV antibodies in 23.939 samples.<br />

The mean age <strong>of</strong> individuals was 37 years (2-97 years).19.897 (72.90%) and 7.395<br />

(27.10%) <strong>of</strong> individuals were female and male respectively. The antibodies detections<br />

were performed using <strong>the</strong> immunoassays: Abbott Architect rHTLV-I/II, Abbott<br />

Architect anti-HCV, Johnson Vitros anti-HCV, Roche Modular anti-HCV, Abbott<br />

Architect HIV Ag/Ab Combo and Roche Modular anti-HIV Combi.<br />

Results: 243 (0.89%) individuals were positive for HTLV antibody, 174 (0.87%)<br />

female and 69 (0.93%). There was no significant difference related to gender (p=0.66)<br />

and <strong>the</strong> positivity increase according to age as has been pointed in <strong>the</strong> literature.<br />

Anti-HCV was positive in 163 (0.71%) samples and anti-HIV in 421 (1.75%) in<br />

this population. 11 (6.75%) samples were positive for both, anti-HTLV and anti-<br />

HCV (p250 IU/mL, a 1:2500 onboard<br />

dilution must be performed. In sample with high concentration <strong>of</strong> HBsAg, fur<strong>the</strong>r<br />

<strong>of</strong>f-line manual dilution <strong>of</strong> <strong>the</strong> prediluted sample may be needed to achieve results<br />

within <strong>the</strong> measuring range.<br />

In this study, <strong>the</strong> limit <strong>of</strong> blank (LOB; analytical sensitivity), limit <strong>of</strong> detection<br />

(LOD), and limit <strong>of</strong> quantitation (LOQ) were determined as described in <strong>the</strong> CLSI<br />

EP17-A guideline. Linearity was evaluated by diluting HBsAg-positive pool spiked<br />

samples into negative pool. Precision was determined according to <strong>the</strong> CLSI EP5-A2<br />

protocol: two runs/day for 20 days. The WHO 2 nd International Standard 00/588 was<br />

diluted from 66 IU/mL to 0.010 IU/mL and assayed to verify <strong>the</strong> standardization <strong>of</strong><br />

<strong>the</strong> QHBsII assay. Expected values were established by testing 472 HBsAg patient<br />

samples on <strong>the</strong> ADVIA Centaur systems. Mutant HBsAg samples were diluted to low<br />

concentration and evaluated for quantitation. Samples from potential cross-reactive<br />

and <strong>the</strong>rapeutic drug interference were evaluated.<br />

Results: The QHBsII assay gave LOB and LOD values <strong>of</strong> 0.008 IU/mL and 0.020<br />

IU/mL, respectively. The % total analytical error (TAE) was determined to be 27.7%,<br />

<strong>the</strong>reby allowing <strong>the</strong> test concentration <strong>of</strong> 0.050 IU/mL to be <strong>the</strong> LOQ. On <strong>the</strong> ADVIA<br />

Centaur system, <strong>the</strong> QHBsII assay is linear from 0.020-250 IU/mL, with R value <strong>of</strong><br />

0.9995. In a 20-day precision study, <strong>the</strong> QHBsII assay had within-run and total % CVs<br />

<strong>of</strong> less than 9.1% and 14%, respectively, over <strong>the</strong> assay range. The QHBsII assay is<br />

standardized to WHO 2 nd International Standard 00/588. A comparison over <strong>the</strong> range<br />

<strong>of</strong> 0-66 IUI/mL gave <strong>the</strong> following correlation:<br />

ADVIA Centaur Quantitative HBsII = 1.0257 (WHO) + 0.0697 IU/mL; r = 1<br />

For <strong>the</strong> HBsAg-positive samples, <strong>the</strong> observed concentration ranged from 10 to


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-123<br />

First Report on identification <strong>of</strong> plasmid mediated quinolone resistance<br />

genes in E. coli and K. pneumoniae strains from Pakistan<br />

M. Faiz 1 , S. Rafique 2 , H. Batool 2 , A. Younis 2 , F. Anwar 3 , T. Bashir 1 , A.<br />

Shahid 1 . 1 Institute <strong>of</strong> Nuclear Medicine and Oncology, Lahore, Pakistan,<br />

2<br />

Kinnaird college for Women, Lahore, Pakistan, 3 University <strong>of</strong> Lahore,<br />

Lahore, Pakistan<br />

Background: Multidrug resistance in Enterobacteriaceae including resistance<br />

to quinolones is rising worldwide and complicating <strong>the</strong> treatment <strong>of</strong> serious<br />

nosocomial infections. Resistance to quinolones in Enterobacteriaceae is classically<br />

chromosomally mediated. However, most commonly it arises stepwise as a result<br />

<strong>of</strong> mutation usually accumulating in <strong>the</strong> genes encoding primarily DNA gyrase or<br />

changes in <strong>the</strong> expression <strong>of</strong> outer membrane and efflux pumps. Several recent studies<br />

have indicated that plasmid-mediated resistance mechanisms also play a significant<br />

role in fluoroquinolone resistance, and its prevalence is increasing worldwide . Now<br />

quinolone resistance determinants (qnrA, qnrB, qnrC and qnrS) have been identified<br />

in a series <strong>of</strong> enterobacterial species from <strong>the</strong> United States, Europe, Japan and<br />

Near and Far East. In Pakistan, <strong>the</strong> presence <strong>of</strong> <strong>the</strong> qnr gene in <strong>the</strong> clinical isolates<br />

<strong>of</strong> Enterobacteriaceae has not been reported. Objectives: This study, <strong>the</strong>refore aimed<br />

to investigate <strong>the</strong> presence <strong>of</strong> <strong>the</strong> qnr gene in clinical isolates <strong>of</strong> E. coli and K.<br />

pneumoniae from Pakistan.<br />

Methods: A total <strong>of</strong> one hundred fifty, non-repetitive, cipr<strong>of</strong>loxacin resistant E. coli<br />

(n=110) and K. pneumoniae strains (n=40) were isolated from urinary specimens<br />

<strong>of</strong> patients from January 2010 to October 2010 using standard microbiological<br />

techniques. Minimal inhibitory concentrations (MICs) <strong>of</strong> <strong>the</strong> antibiotics were<br />

determined according to <strong>the</strong> Clinical and Laboratory Standards Institute (CLSI).<br />

Screening <strong>of</strong> qnrA, qnrB, and qnrS by was performed by polymerase chain reaction<br />

(PCR) amplification.<br />

Results: PCR amplification <strong>of</strong> Qnr gene in 110 E. coli isolates and 40 K. pneumonia<br />

isolates was performed. qnr gene was detected in 11% (17 out <strong>of</strong> 150) strains tested.<br />

In E.coli, qnrB gene was detected in 6 out <strong>of</strong> 110 strains (6%). No qnrA, qnrS or<br />

both were identified in any <strong>of</strong> <strong>the</strong> strains. Similarly 11 out <strong>of</strong> 40 (28%) Klebsiella<br />

isolates had qnr genes where 7 (64%) samples showed qnrB, 3 (27%) qnrS and 1<br />

(9%) showed both qnrS and qnrB while none showed qnrA (Figure). In both E.coli<br />

and Klebsiella sp, none <strong>of</strong> <strong>the</strong> strains showed qnrA or qnrA and qnrB both. Plasmid<br />

transfer was achieved in Klebsiella K-1 strain. MICs <strong>of</strong> cipr<strong>of</strong>loxacin for qnrB<br />

positive transformants range from 8-16μg/ml than recipient strains.<br />

Conclusion: In conclusion, this study constitutes <strong>the</strong> first report on <strong>the</strong> identification<br />

<strong>of</strong> qnr-like determinants in Enterobacteriaceae from Pakistan. Fur<strong>the</strong>r studies are<br />

needed to document <strong>the</strong> prevalence <strong>of</strong> qnr in larger number <strong>of</strong> samples as well as role<br />

<strong>of</strong> chromosomally-mediated or/ o<strong>the</strong>r mechanisms <strong>of</strong> resistance towards quinolone<br />

resistance.<br />

B-124<br />

Molecular characterization <strong>of</strong> clinical isolates <strong>of</strong> Carbapenemase<br />

producer Klebsiella pneumoniae (KPC) resistant to polimyxin in a<br />

Hospital in São Paulo, Brazil<br />

E. K. Gumpl 1 , R. C. M. Cabral 1 , J. Monteiro 2 , C. R. L. Fonsceca 3 , O. V. P.<br />

Denardin 3 , A. C. C. Pignatari 3 . 1 UNIFESP, SÃO PAULO, Brazil, 2 Unifesp,<br />

SÃO PAULO, Brazil, 3 DASA, SÃO PAULO, Brazil<br />

Background: Polimyxin is one <strong>of</strong> <strong>the</strong> few remaining options for treatment <strong>of</strong> KPC,<br />

a multiresistant opportunistic pathogen, responsible for nosocomial infections with<br />

high morbidity and mortality. Recently, isolates <strong>of</strong> KPC resistant to polimyxin have<br />

been described in <strong>the</strong> course <strong>of</strong> treatment with this antibiotic. The aim <strong>of</strong> <strong>the</strong> study<br />

was to molecular characterize isolates resistant to polimyxin from patients admitted to<br />

a hospital <strong>of</strong> São Paulo, Brazil.<br />

Methods: From July 2011 to March 2012, 21 clinical isolates <strong>of</strong> Klebsiella<br />

pneumoniae resistant to <strong>the</strong> carbapenem ertapenem , were identified by <strong>the</strong> automated<br />

system Vitek2 (BioMerieux) in <strong>the</strong> clinical microbiology laboratory <strong>of</strong> a 300-beds<br />

general private hospital. The isolates were tried for carbapenem resistance by <strong>the</strong><br />

Hodge modified test and for <strong>the</strong> presence <strong>of</strong> <strong>the</strong> blaKPC gene by polimerase chain<br />

reaction (PCR). Resistance to polimixin was confirmed by broth microdilution.<br />

The isolates were molecular typed by Pulsed Field Gel Electrophoresis (PFGE) and<br />

Multilocus Sequence Typing (MLST).<br />

Results: All 21 ertapenem resistant isolates were positive by <strong>the</strong> modified Hodge Test<br />

and for blaKPC. Nine out <strong>of</strong> <strong>the</strong>se 21 isolates were resistant to polimyxin (42%). The<br />

PFGE analysis revealed 6 different clonal pr<strong>of</strong>iles. The clone “A” was observed in<br />

76.2% (16) <strong>of</strong> <strong>the</strong> isolates, and <strong>the</strong> clones “B”, “C”, “D”, “E” e “F” were found in only<br />

one isolate each. Eight <strong>of</strong> <strong>the</strong> 9 isolates resistant to polimixin were classified in <strong>the</strong><br />

clone “A”. The MLST was done only for clone “A” isolates showing sequence type<br />

11 e 437 (only one allele difference).<br />

Conclusion: The molecular techniques were useful to identify <strong>the</strong> persistence <strong>of</strong> <strong>the</strong><br />

same clonal pr<strong>of</strong>ile <strong>of</strong> KPC in a period <strong>of</strong> 9 months in clinical isolates obtained from<br />

patients admitted to <strong>the</strong> hospital, and also <strong>the</strong> emergence <strong>of</strong> polimixin resistant strains.<br />

These data are important to better understand and to control <strong>the</strong> dissemination <strong>of</strong> <strong>the</strong>se<br />

multiresistant microorganism in hospitalized patients.<br />

B-125<br />

Metabolic Disorders Associated to HIV/AIDS Infection and Treatment<br />

in Ceará, Brazil<br />

C. M. M. PONTE 1 , M. G. CASTELO 1 , G. A. PONTE 2 , R. M.<br />

MONTENEGRO JR 3 , P. M. PONTE 3 , M. O. GOMES 4 , T. J. P. G.<br />

BANDEIRA 4 , I. V. ROCHA 4 , O. FERNANDES 5 . 1<br />

UFC; DASA,<br />

FORTALEZA, Brazil, 2<br />

HSJ-SESA, FORTALEZA, Brazil, 3<br />

UFC,<br />

FORTALEZA, Brazil, 4 DASA, FORTALEZA, Brazil, 5 DASA, SÃO PAULO,<br />

Brazil<br />

Background: After <strong>the</strong> advent <strong>of</strong> antiretroviral <strong>the</strong>rapy (ART), HIV/AIDS patients<br />

have been observed to develop a chronic-degenerative pr<strong>of</strong>ile characterized by <strong>the</strong><br />

presence <strong>of</strong> several endocrine and metabolic disorders such as metabolic syndrome,<br />

type 2 diabetes mellitus (DM2), dyslipidemia and lipodystrophy, conditions known<br />

to be associated with increased cardiovascular risk. Moreover, it is recognized that<br />

HIV itself plays a significant role in <strong>the</strong> emergence <strong>of</strong> <strong>the</strong>se changes. The aim <strong>of</strong> this<br />

study was to determine <strong>the</strong> prevalence <strong>of</strong> metabolic disorders in patients with HIV /<br />

AIDS followed at Hospital São José, considered a reference center for <strong>the</strong> treatment<br />

<strong>of</strong> this condition.<br />

Methods: We conducted a cross-sectional study which included 144 patients treated<br />

in outpatient program for HIV / AIDS among <strong>the</strong> months from January to May 2010,<br />

selected sequentially. For <strong>the</strong> control group were randomly selected 95 patients<br />

without HIV infection. Patients underwent medical evaluation, physical examination,<br />

meansurement <strong>of</strong> waist circumference (WC) and collection <strong>of</strong> blood samples fasting<br />

in <strong>the</strong> morning, for determination <strong>of</strong> glucose, insulin, total cholesterol, high density<br />

lipoprotein (HDL), triglycerides, lymphocyte count CD4 and viral load HIV. We<br />

calculated <strong>the</strong> HOMA-IR to infer <strong>the</strong> insulin resistance and cardiovascular risk was<br />

estimated by <strong>the</strong> Framingham Risk Score. Data were subjected to statistical analysis,<br />

being used for this purpose, <strong>the</strong> program StataTM, version 9.1. In data analysis, we<br />

used <strong>the</strong> Student t test, Mann-Whitney, Spearman’s linear correlation, chi-square test,<br />

Fisher exact test and Mantel-Haenszel X2, with statistical significance level <strong>of</strong> 5%<br />

(p


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

B-126<br />

Phenotypic (VITEK2 System) and genotypic characterization <strong>of</strong><br />

Burkholderia pseudomallei strains isolated in Brazil.<br />

T. J. P. G. BANDEIRA 1 , M. G. CASTELO 2 , C. M. M. PONTE 2 , L. M. O.<br />

PONTE 1 , E. T. OLIVEIRA 1 , F. P. VENTURA 1 , L. G. A. VALENTE 1 , V. P.<br />

G. WIRTZBIKI 3 , F. B. SAMPAIO 3 , C. S. P. ARAUJO 3 , T. T. LEITE 4 , G. P.<br />

G. WIRTZBIKI 3 , O. FERNANDES 5 . 1 DASA, FORTALEZA, Brazil, 2 UFC;<br />

DASA, FORTALEZA, Brazil, 3 FACULDADE DE MEDICINA CHRISTUS,<br />

FORTALEZA, Brazil, 4 SESA, FORTALEZA, Brazil, 5 DASA, SAO PAULO,<br />

Brazil<br />

Melioidosis is a serious infectious disease caused by Burkholderia pseudomallei. The<br />

disease is endemic in Sou<strong>the</strong>astern Asia and hyperendemic in Nor<strong>the</strong>rn Australia.<br />

In Brazil, it is considered an emerging disease, since April 2003, when it was first<br />

diagnosed in Ceara, Nor<strong>the</strong>astern Brazil. In <strong>the</strong> last eight years, thirteen cases were<br />

reported. Considering <strong>the</strong> occurrence <strong>of</strong> melioidosis in Ceara, this work aimed at<br />

studying <strong>the</strong>se clinical and environmental strains <strong>of</strong> Burkholderia pseudomallei<br />

isolated from Ceara from 2003 to 2011, focusing on phenotypic and molecular<br />

identification.<br />

Genotyping was performed through Random Amplified Polymorphic DNA (RAPD).<br />

The primers used were: OPQ-16 (AGTGCAGCCA), OPQ-4(AGTGCGCTGA) and<br />

OPQ-2 (TCTGCTGGTC). RAPD-PCR showed a genetic relatedness <strong>of</strong> 63% among<br />

<strong>the</strong> B. pseudomallei strains from <strong>the</strong> State <strong>of</strong> Ceará, which were grouped in two<br />

different clusters. The environmental strains isolated in Tejuçuoca were grouped in<br />

a single cluster along with <strong>the</strong> clinical strains isolated from <strong>the</strong> same municipality.<br />

Six <strong>of</strong> our clinical strains were isolated from fatal cases <strong>of</strong> melioidosis, <strong>of</strong> which four<br />

were grouped in cluster II. Leelayuwat et al. (2000) observed a significant association<br />

<strong>of</strong> determined RAPD patterns <strong>of</strong> B. pseudomallei strains with <strong>the</strong> occurrence <strong>of</strong><br />

septicemic melioidosis without an association with lethality. In <strong>the</strong> present study, we<br />

observed an association <strong>of</strong> determined RAPD patterns with <strong>the</strong> septicemic form <strong>of</strong><br />

melioidosis (cases in cluster II) and with fatal outcomes [17]. All 20 strains from B.<br />

pseudomallei were accurately identified by both VITEK2 ® and sequencing <strong>of</strong> <strong>the</strong><br />

16S DNA with 100% <strong>of</strong> agreement. The assimilation <strong>of</strong> L-arabinose was also used<br />

whose negative result had confirmed <strong>the</strong> identification <strong>of</strong> strains as B. pseudomallei.<br />

This study will contribute to <strong>the</strong> clinical-epidemiological characterization <strong>of</strong><br />

melioidosis in <strong>the</strong> State <strong>of</strong> Ceara and to <strong>the</strong> awareness <strong>of</strong> <strong>the</strong> competent health<br />

departments to include <strong>the</strong> state as an endemic zone for <strong>the</strong> disease.<br />

B-127<br />

Respiratory virus frequency in Brazilian samples in 2012.<br />

M. Gimenez, C. Ceabra, A. Alfieri, L. Scarpelli, O. Denardin, N. Gaburo.<br />

DASA, Sao Paulo Brasil, Brazil<br />

Background: The Respiratory virus infection is one <strong>of</strong> <strong>the</strong> most important causes <strong>of</strong><br />

childhood respiratory diseases. Data describing <strong>the</strong> most common agents among <strong>the</strong><br />

Brazilian population using molecular biology techniques for a large variety <strong>of</strong> agents<br />

is scarce.<br />

Objective: The aim <strong>of</strong> this study was to determine <strong>the</strong> frequency <strong>of</strong> respiratory<br />

virus in Brazilian samples collected from January to December 2012 using CLART<br />

® Pneumovir (Genomica, Madri, Spain), method that simultaneously detects 18<br />

different respiratory viruses (RV) using microarray technology.<br />

Methods: We processed 510 samples <strong>of</strong> nasopharyngeal, secretions from children<br />

and adult population at DASA’s Department <strong>of</strong> Molecular Biology. Viral RNA and<br />

DNA was isolated and processed with CLART Pneumovir This test is based on RT-<br />

PCR reaction follow by detection through a low density microarray platform, and<br />

detects <strong>the</strong> following agents: Adenovirus, Bocavirus, Coronavirus, Enterovirus,<br />

Influenza virus A (human H3N2 and H1N1 2009), B, and C, Metapneumovirus A and<br />

B, Parainfluenza virus 1, 2, 3, and 4, Rhinovirus, Respiratory Syncitial Virus A and B.<br />

Results: Frequency <strong>of</strong> single or multiple infections are described on Table 1 according<br />

with age group).<br />

Age group<br />

(years)<br />

N. <strong>of</strong><br />

patients<br />

Not<br />

detected<br />

(%)<br />

Single<br />

infection<br />

(%)<br />

Multiple<br />

infection<br />

(%)<br />

Virus more<br />

frequent<br />

Parainfluenza<br />

virus 3<br />

1) less than 1 169 29 54 17<br />

2) 1 to 14 251 26 43 31 Adenovirus<br />

3) older than<br />

14<br />

90 68 30 2 Rhinonvírus<br />

Total 510 34 45 21<br />

Conclusion: Using technologies that allows simultaneous detection <strong>of</strong> many agents<br />

lead to better understanding <strong>of</strong> <strong>the</strong> most common agents. Infection by two or more<br />

agents was quite common and represented 30% <strong>of</strong> all samples with detectable results.<br />

Multiple infections were more common among children.<br />

B-129<br />

Diagnostic value <strong>of</strong> procalcitonin and follow-up treatment in septic<br />

patients in Vietnam.<br />

L. X. Truong 1 , B. T. H. Chau 2 , N. T. B. Suong 2 . 1 Chief <strong>of</strong> Biochemistry<br />

Department, University <strong>of</strong> Medicine and Pharmacy, Hochiminh City, Viet<br />

Nam, 2 Biochemistry Department, University <strong>of</strong> Medicine and Pharmacy,<br />

Hochiminh City, Viet Nam<br />

Background: Sepsis is serious illness, and its prevalence is still increasing during<br />

30 years.<br />

Objective: To confirm diagnostic value <strong>of</strong> procalcitonin (PCT) and follow-up<br />

treatment in sepsis by <strong>the</strong> kinetic <strong>of</strong> PCT with white blood cell (WBC) and CRP test.<br />

Method: Estimate similarity <strong>of</strong> WBC and CRP with serum PCT concentration on four<br />

groups, group 1 include 30 healthy volunteers (n=30), group 2 have 40 dengue fever<br />

patients (n=40), group 3 have 70 patients have illness with is similar to infection but<br />

non sepsis (n=70), group 4 include 100 septic patients with positive blood cultures<br />

(n=100).<br />

Results: Mean value <strong>of</strong> serum PCT in group 1 was 0.08ng/ml (0.06-0.27), group<br />

2 was 0.19ng/ml (0.07-1.87), group 3 was 0.20ng/ml (0.11-6.34) and group 4 was<br />

7.94ng/ml (0.10-488.00). The best cut-<strong>of</strong>f point to distinguish between septic patients<br />

(group 4) and patients had infection but not sepsis (group 3) for PCT was 1.91ng/ml,<br />

CRP was 33mg/L, WBC was 13475/mm 3 . At patients <strong>of</strong> group 4 who responded well<br />

to treatment, mean value <strong>of</strong> PCT before antibiotic treatment was 7.13ng/ml (0.20-<br />

122.50), after 2 days <strong>of</strong> antibiotic treatment was 1.23 ng/ml (0.12-50.00), and after 6<br />

days <strong>of</strong> antibiotic treatment was 0.35ng/ml (0.07-13.47). So, <strong>the</strong>re are differences in<br />

PCT levels between groups (p


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-133<br />

Ideal flow suggestion on determination <strong>of</strong> anti - T. cruzi IgG class<br />

antibodies (Chagas disease) among CMIA and ELISA methods in<br />

laboratorial context<br />

M. F. Mantovani 1 , L. G. S. Carvalho 1 , E. A. Pante 2 , N. L. R. Junior 1 , C. F. A.<br />

Pereira 3 . 1 Álvaro Center for Analysis and Clinical Research – Diagnósticos<br />

da América (DASA), Cascavel, Brazil, 2 Faculdade Assis Gurgacz - FAG,<br />

Cascavel, Brazil, 3 Diagnósticos da América (DASA), São Paulo, Brazil<br />

Background: Chagas is an infecto-contagious disease that affects America from<br />

<strong>the</strong> sou<strong>the</strong>rn United States to Chile and Argentina, this infection made by <strong>the</strong><br />

haemoprotozoan Trypanosoma cruzi, in its chronic phase has essentially serological<br />

diagnosis and should be tested using a high sensitivity test, and, positives samples,<br />

confirmed by ano<strong>the</strong>r methodology with high specificity for determining <strong>the</strong> diagnostic.<br />

Currently <strong>the</strong> methodologies used for this research are enzyme immunoassays<br />

(ELISA), indirect immun<strong>of</strong>luorescence (IIF), indirect hemagglutination (IHA) and<br />

chemiluminescence microparticle immunoassay (CMIA).<br />

Objective: In a random study CMIA and ELISA serological assay methods were<br />

applied, for determining, inside lab routine, which flow is <strong>the</strong> best between both<br />

methods on diagnostic determination <strong>of</strong> IgG antibodies on Chagas disease.<br />

Methods: During one month, 8,520 random samples from Laboratory Alvaro –<br />

Center <strong>of</strong> Analysis and Clinical Research were tested with CMIA (Chagas Architect<br />

®, Abbott) and ELISA (Gold ELISA Chagas® REM Industry and Trade LTDA). Tests<br />

were performed following <strong>the</strong> manufacturer’s instructions and evaluated toge<strong>the</strong>r with<br />

internal control for each kit used.<br />

Results: When tested by CMIA <strong>the</strong> 8,520 samples showed 7,288 no reactive results,<br />

12 inconclusive and 1,220 reactive. In <strong>the</strong> same samples, when tested by ELISA,<br />

7,314 no reactive results were observed, 07 inconclusive and 1,199 reactive.<br />

In <strong>the</strong> result analysis from CMIA/ELISA methods 35 (0.41%) results were<br />

discrepant with, respectively, 01 result inconclusive/reactive, 11 results inconclusive/<br />

nonreactive, 06 results reactive/inconclusive, 16 results reactive/nonreactive and 01<br />

result nonreactive/inconclusive.<br />

The flow CMIA as initial test and confirmatory screening by ELISA, for <strong>the</strong> nonreactive<br />

results, eliminates <strong>the</strong> need to retest because <strong>the</strong> flow showed a CMIA<br />

confirmation <strong>of</strong> 99.99%. We also observed 99.92% sensitivity for reactive samples,<br />

with this flow. Regarding <strong>the</strong> reverse flow, <strong>the</strong> ELISA assay showed 99.44% <strong>of</strong><br />

assertiveness for non-reactive results and sensitivity <strong>of</strong> 97.81%.<br />

Conclusion: Thus, we conclude that using <strong>the</strong> CMIA test in <strong>the</strong> initial screening we<br />

have <strong>the</strong> best process flow, because if <strong>the</strong>y get greater sensitivity in detecting reactive<br />

samples and reduced to 0.013% chance <strong>of</strong> releasing a false negative result when<br />

confirmed by ELISA.<br />

<strong>of</strong> SHP-1 and SHP-2 phosphatases, which attenuate tyrosine kinases activated by<br />

TCR-Ag recognition. Blockage <strong>of</strong> coinhibitory molecules BTLA/HVEM pathway<br />

seems to be new ideas in preventing worse progress <strong>of</strong> HBV infection.<br />

Expression <strong>of</strong> Cosignal Molecules in different stages <strong>of</strong> patients with hepatitis B infection<br />

n CD28 ICOS LIGHT HVEM BTLA CD160 PD-1<br />

control 34 14(8,17) 10(7,17) 52(41,59) 40(18,74) 30(14,42) 6(3,9) 6(5,8)<br />

CHB 33 15(9,18) 10(8,16) 48(30,59) 31(9,62) 22(11,32) 7(4,11) 4(2,6)<br />

LC 31 12(7,16) 12(5,18) 50(47,59) 94(46,99)* 57(18,66)* 3(2,6)* 9(4,9)*<br />

HCC 30 13(7,18) 11(6,18) 54(41,62) 75(30,87)# 52(16,63)# 6(3,9) 8(5,10)#<br />

* LC vs CHB: P


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

B-137<br />

Frequency <strong>of</strong> Mycoplasma pneumoniae Complement Fixation IgM in<br />

a Healthy, Adult Population<br />

B. Kiehl 1 , S. Jeansson 2 . 1 GenBio, San Diego, CA, 2 Oslo University Hospital,<br />

Oslo, Norway<br />

Mycoplasma pneumoniae is <strong>the</strong> causative agent <strong>of</strong> atypical pneumonia. Serological<br />

diagnosis detecting antibodies to ei<strong>the</strong>r an immunodominant membrane protein or<br />

<strong>the</strong> complement fixing lipid antigen is <strong>of</strong>ten used. These Mycoplasma antibodies are<br />

cross-reactive with o<strong>the</strong>r Mycoplasma species, so clinical interpretation is made using<br />

a clinical cut<strong>of</strong>f. The clinical cut<strong>of</strong>f <strong>of</strong> ImmunoWELL Mycoplasma Pneumoniae<br />

IgM Test, using a purified CF antigen, is evaluated using presumptively healthy U.S.<br />

blood donors.<br />

Materials and Methods: Fourteen hundred twenty-six (1426) sera collected from<br />

potential U.S. blood donors collected at centers located thirteen states is tested. Tests<br />

are performed using ImmunoWELL Mycoplasma Pneumoniae IgM Test following<br />

package insert instructions.<br />

Results: Figure 1 illustrates specific antibody distribution in a U.S. healthy, adult<br />

population.<br />

Summary: The 95 th percentile (736 to 917 units/mL) is consistent with<br />

ImmunoWELL’s 950 units/mL clinical cut<strong>of</strong>f. The 75 th percentile is 295-319 units/<br />

mL.<br />

Figure 1<br />

Methods: This study used a response surface design (central composite - two-level<br />

full factorial) to optimize annealing temperature (55 to 65°C), denaturation time (3<br />

to 15s) and Reverse Transcription (RT) time (900 to 1800s) for a RT-PCR reaction<br />

used to detect RNA/DNA targets isolated from clinical specimens. A pool <strong>of</strong> negative<br />

nasopharyngeal (NP) swabs in UTM, spiked with all targets <strong>of</strong> <strong>the</strong> assay, was<br />

processed on <strong>the</strong> BD MAX System with <strong>the</strong> BD MAX ExK TNA-3* reagents.<br />

The model assay consisted <strong>of</strong> an RNA target (chimeric virus containing a Hepatitis<br />

C virus [HCV] sequence) and a DNA target (Adenovirus [AdV]). A Specimen<br />

Processing Control (SPC) consisting <strong>of</strong> an armored RNA sequence incorporated into<br />

<strong>the</strong> extraction reagents, was co-processed to control for extraction efficiency, reagent<br />

integrity and PCR inhibition by <strong>the</strong> sample.<br />

Results: Results indicated that <strong>the</strong> annealing temperature was <strong>the</strong> most critical factor<br />

for optimizing both <strong>the</strong> Cycle Threshold (Ct) and <strong>the</strong> End Point fluorescence (EP)<br />

<strong>of</strong> all targets in this particular assay. Its effect was <strong>the</strong> same on <strong>the</strong> SPC, AdV and<br />

HCV, so <strong>the</strong> selection <strong>of</strong> <strong>the</strong> temperature was based on a trade<strong>of</strong>f between optimizing<br />

Ct and/or EP, and on <strong>the</strong> potential impact on <strong>the</strong> test sensitivity. RT time influenced<br />

DNA and RNA targets differently. With a longer RT, SPC and HCV showed earlier<br />

Ct values while <strong>the</strong> EP for HCV and AdV decreased. The optimizer tool suggested an<br />

optimum for all targets. Denaturation time appeared to be slightly influential on <strong>the</strong><br />

SPC Ct values.<br />

Conclusions: This study demonstrates that it is possible to precisely optimize<br />

multiple factors at a time for at least 3 targets at once on <strong>the</strong> BD MAX System. This<br />

type <strong>of</strong> DOE analysis can allow users to determine optimal conditions for any specific<br />

user defined protocol on <strong>the</strong> BD MAX System, and for a variety <strong>of</strong> factors including<br />

primers and probes concentrations, lysis temperature and enzyme concentration,<br />

among o<strong>the</strong>rs.<br />

*The BD MAX ExK TNA-3 and BD MAX TNA MMK are not available for<br />

sale or use.<br />

B-139<br />

Evaluation <strong>of</strong> <strong>the</strong> Risk <strong>of</strong> RNase Contamination During Total Nucleic<br />

Acid Extraction from Clinical Samples using <strong>the</strong> BD MAX System<br />

D. Dugourd 1 , D. Beaulieu 1 , J. Cormier 1 , P. Larouche 1 , B. Leclerc 1 , J. A.<br />

Price 2 , D. Fox 2 , V. Jean 1 , S. Champetier 1 , J. Pinard-Lachapelle 1 , C. Lippé 1 ,<br />

C. Ménard 1 , C. Roger-Dalbert 1 . 1 BD Diagnostics, Quebec, QC, Canada,<br />

2<br />

BD Diagnostics, Baltimore, MD<br />

B-138<br />

Optimization Scheme <strong>of</strong> a Multiplex Reaction for RNA/DNA Targets<br />

on a Micr<strong>of</strong>luidic-based Real-time PCR Platform<br />

C. Lippé, D. Dugourd, P. Larouche, B. Leclerc, V. Jean, S. Champetier,<br />

D. Beaulieu, J. Pinard-Lachapelle, J. Cormier, S. Morasse, C. Ménard, C.<br />

Roger-Dalbert. BD Diagnostics, Quebec, QC, Canada<br />

Background: The BD MAX System is a next generation sample-to-answer<br />

molecular testing platform. The new BD MAX TNA (for Total Nucleic Acid) suite,<br />

part <strong>of</strong> <strong>the</strong> Open System Reagent (OSR) series, combines specimen-specific extraction<br />

kits (ExK for swabs in Universal Transport Medium (UTM), stool or cerebrospinal<br />

fluid (CSF)) and universal PCR reagents (MMK*). The TNA suite allows users to<br />

extract, purify and amplify multiple RNA and DNA targets from a single biological<br />

specimen with <strong>the</strong>ir own user defined protocols. Users can select specimen volume,<br />

and individually program <strong>the</strong>rmocycling and analysis parameters. The objective<br />

<strong>of</strong> this study was to demonstrate <strong>the</strong> process and possibilities <strong>of</strong> optimization for<br />

multiplex <strong>the</strong>rmocycling conditions based on a Design <strong>of</strong> Experiment (DOE).<br />

Background: The BD MAX System is a next generation sample-to-answer<br />

molecular testing platform. The new BD MAX TNA (for Total Nucleic Acid)<br />

suite, part <strong>of</strong> <strong>the</strong> Open System Reagent (OSR) series, combines specimen-specific<br />

extraction reagents (ExK) and universal PCR reagents (MMK) allowing users to<br />

extract, purify and amplify multiple RNA and DNA targets from a single biological<br />

specimen with <strong>the</strong>ir own user defined protocols. The objective <strong>of</strong> this study was to<br />

evaluate <strong>the</strong> risk <strong>of</strong> RNase carryover during major steps <strong>of</strong> TNA extraction, and also<br />

during <strong>the</strong> processing <strong>of</strong> <strong>the</strong> MMK reagents, where a RNase inhibitor is integrated.<br />

Methods: Sample processing <strong>of</strong> nasal or nasopharyngeal swabs in UTM was<br />

performed in <strong>the</strong> BD MAX system using BD MAX ExK TNA-2 or ExK<br />

TNA-3 and ExK DNase reagents*. RNase activity was measured at each major<br />

step <strong>of</strong> sample preparation (i.e. addition <strong>of</strong> sample to TNA sample buffer, lysis, wash,<br />

DNAse treatment and elution/neutralization) using <strong>the</strong> RNaseAlert ® QC Systems<br />

reagent. Solutions <strong>of</strong> RNase A at concentrations ranging from 0.1 ng to 1 ng per<br />

sample were included as positive controls. Endpoint fluorescence values (Tecan) were<br />

used to determine <strong>the</strong> presence <strong>of</strong> RNase in samples tested.<br />

Results: All clinical specimens tested, especially nasopharyngeal swabs in UTM,<br />

showed high levels <strong>of</strong> RNase prior to sample processing. When <strong>the</strong>se samples were<br />

initially mixed with <strong>the</strong> BD MAX ExK TNA-3 and ExK TNA-2 sample<br />

buffers, no RNase activity was detected. Similarly, no RNase activity was detected<br />

at <strong>the</strong> lysis, DNase, or wash steps. Finally, minimal to no activity was detected in<br />

<strong>the</strong> eluted sample when mixed with <strong>the</strong> TNA primer and probe diluent. Data fur<strong>the</strong>r<br />

demonstrate that <strong>the</strong> MMK reagents, containing a RNase inhibitor, can inactivate/<br />

inhibit at least 0.5 ng <strong>of</strong> RNase A.<br />

Conclusion: The BD MAX ExK TNA-3 and ExK TNA-2 reagents enrich<br />

TNA while removing/neutralizing RNases found in clinical samples during lysis,<br />

DNase, wash, and elution steps as well as control for RNases that might reach <strong>the</strong><br />

MMK reagents by <strong>the</strong> use <strong>of</strong> a RNase inhibitor.<br />

*The BD MAX ExK TNA-3, ExK TNA-2, ExK DNase, and TNA MMK are<br />

not available for sale or use.<br />

A210 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-140<br />

Detection <strong>of</strong> rs12979860 polymorphism in <strong>the</strong> Interleukin-28B gene by<br />

a 5’Nuclease Real Time PCR assay<br />

C. G. Rasuck, F. S. Malta, V. C. Oliveira, F. d. Caxito. Hermes Pardini,<br />

Vespasinao, Brazil<br />

Background: The chronic Hepatitis C virus infection affects 170 million people all<br />

over <strong>the</strong> world and it is <strong>the</strong> main cause <strong>of</strong> cirrhosis and liver cancer. The treatment<br />

indicated for <strong>the</strong> genotype 1 (<strong>the</strong> most frequent) can last 48 weeks. The sustained<br />

virological response is achieved by 40 to 50% <strong>of</strong> <strong>the</strong> treated patients. Since <strong>the</strong><br />

recommended treatment (interferon and ribavirin) presents potentially serious<br />

side effects, and <strong>the</strong> success rate is not high, researches are being conducted in<br />

predictors <strong>of</strong> drug response for a medical decision. The C/C genotype <strong>of</strong> rs12979860<br />

polymorphism has been associated to higher rates <strong>of</strong> sustained virological response<br />

and spontaneous viral clearance following acute infection caused by genotype 1.<br />

Therefore <strong>the</strong> knowledge <strong>of</strong> <strong>the</strong> polymorphism can help <strong>the</strong> decision to initiate or<br />

postpone <strong>the</strong> treatment. Our objective was to develop a real time PCR based method<br />

to identify rs12979860 polymorphism in <strong>the</strong> Interleukin-28B gene.<br />

Methods: A 5’Nuclease PCR assay (probes and primers) have been designed using<br />

<strong>the</strong> Primer Express 3.0 s<strong>of</strong>tware. The assay was tested comparing 40 control samples<br />

with <strong>the</strong> sequencing method. All <strong>of</strong> <strong>the</strong> possible genotypes were tested and analyzed<br />

by <strong>the</strong> s<strong>of</strong>tware clustering algorithm.<br />

Results: The 5’Nuclease PCR assay was 100% concordant with <strong>the</strong> sequencing<br />

method. All <strong>of</strong> <strong>the</strong> genotypes presented a caracteristic pattern which could be<br />

recognized by <strong>the</strong> s<strong>of</strong>tware clustering algorithm.<br />

Conclusion: The 5’Nuclease PCR assay is a fast and efficient method to identify <strong>the</strong><br />

rs12979860 polymorphism on IL28B gene and can be used to help doctor’s decision<br />

regarding treatment <strong>of</strong> Hepatitis C virus infection.<br />

B-141<br />

Comparison between an in-house method and <strong>the</strong> commercial<br />

En<strong>the</strong>rpex® kit for herpes virus detection<br />

V. Niewiadonski, F. Oliveira, P. Macedo, P. Trojano, N. Gaburo. DASA,<br />

Sao Paulo, Brazil<br />

Background: The diagnosis <strong>of</strong> opportunistic infections is extremely important in<br />

immunosuppressed patients. The herpes virus infection can take a life threatening<br />

course in this group <strong>of</strong> individuals. In healthy population <strong>the</strong> herpes virus can cause<br />

meningitis, among o<strong>the</strong>r disorders.<br />

Objective: Compare <strong>the</strong> results agreement <strong>of</strong> two methods for herpes virus.<br />

Method: A total <strong>of</strong> 313 samples <strong>of</strong> DNA and RNA from blood, plasma, cerebrospinal<br />

fluid and bronchoalveolar washing fluid were tested in <strong>the</strong> in-house method and in <strong>the</strong><br />

En<strong>the</strong>rpex commercial kit (Genomica, Madrid, Spain) for cytomegalovirus, Epstein-<br />

Barr virus, herpes simplex 1 and 2, herpes 6, varicella zoster and enterovirus. The real<br />

time PCR takes one reaction for each virus tested using Taqman as detection system.<br />

The tests were performed at ABI SDS 7500 Real Time PCR System platform. The<br />

En<strong>the</strong>rpex kit detects 8 viruses simultaneously by RT-PCR followed by low density<br />

microarray. The results <strong>of</strong> both methods were analyzed as qualitative results (detected/<br />

not detected).<br />

Results: The results found are described in Table 1.<br />

Table 1. Results <strong>of</strong> herpes virus detection in En<strong>the</strong>rpex and in-house methodology<br />

Total <strong>of</strong> Positive Test (in Positive Test % concordant<br />

Virus<br />

sample tested house method) (commercial method) results<br />

Cytomegalovirus 136 27 32 92,65<br />

Enterovirus 23 1 0 95,65<br />

Herpes 1 and 2 72 6 4 97,22<br />

Epstein-Barr virus 56 19 22 85,71<br />

Herpes 6 17 3 3 100,00<br />

Varicella zoster 9 0 0 100,00<br />

The disagreements may occur due degraded DNA/RNA, differences between<br />

<strong>the</strong> detection limits <strong>of</strong> methods compared or, regarding to <strong>the</strong> commercial kit, due<br />

competition when more than one virus was present.<br />

Conclusion: The study showed a good agreement between both methods tested;<br />

whereas <strong>the</strong> in-house method detects <strong>the</strong> individual target and <strong>the</strong> commercial method<br />

simultaneously detects multiple targets.<br />

B-142<br />

Prevalence <strong>of</strong> Clostridium difficile by enzyme immunoassay for <strong>the</strong><br />

detection <strong>of</strong> toxin A and B or by polymerase chain reaction in patients<br />

admitted to private hospitals in Brazil<br />

M. L. N. Figuieredo, C. Rodrigues, L. B. Faro, O. V. P. Denardin, A. C. C.<br />

Pignatari. DASA, SÃO PAULO, Brazil<br />

Background: Clostridium difficile infection is <strong>the</strong> most important cause <strong>of</strong><br />

antimicrobial-associated diarrhea and is a common health care-associated<br />

pathogen. Clinical symptoms vary widely, from asymptomatic colonization to<br />

pseudomembranous colitis with bloody diarrhea, fever, and severe abdominal pain.<br />

Patients who have been treated with broad spectrum antibiotics, <strong>the</strong> elderly and those<br />

with serious underlying disease are at major risk to develop <strong>the</strong> infection by this<br />

anaerobic bacterium. The laboratory diagnosis is usually provided by <strong>the</strong> detection <strong>of</strong><br />

Clostridium difficile toxin A and B in stool.<br />

Methods: 5119 samples <strong>of</strong> anal swabs were collected at 38 private Brazilian hospitals<br />

and submitted to enzyme immunoassay (EIA- Prospect- Remel®) for <strong>the</strong> detection <strong>of</strong><br />

toxin A and B or polymerase chain reaction (Xpert-Cepheid®) to investigate infection<br />

by Clostridium diffi cile. The epidemiological data were collected by <strong>the</strong> laboratory<br />

system Motion ®.<br />

Results: EIA and PCR for Clostridium diffi cile were positive on 249 samples (4.86%).<br />

Among <strong>the</strong> positive anal swabs, 154 (61.84%) were obtained from female and 95<br />

(38.15%) from male patients. The majority <strong>of</strong> positive samples (n=117) were from<br />

patients over 70 years old (46.98%). From <strong>the</strong> pediatric population, 1-4 years old<br />

infants showed <strong>the</strong> largest positivity, 7 samples (2.81%). 302 samples were tested by<br />

PCR, 29 (9.6%) were positive and 4 (1.32%) were inconclusive. 4817 samples were<br />

tested by EIA and only 220 (4.56%) were positive for toxin A and B.<br />

Conclusion: Our data show that Clostridium diffi cile infection was present in 4.86%<br />

<strong>of</strong> all patients admitted to private Brazilian hospitals. PCR methodology present<br />

a higher sensitivity comparing with EIA test (9.6% and 4.56%, respectively), as<br />

described in literature. This data is important for encouraging physicians to use PCR<br />

instead <strong>of</strong> EIA although its cost difference. Cost/ benefit studies utilizing <strong>the</strong> PCR test<br />

are warranted.<br />

B-143<br />

Prevalence <strong>of</strong> Respiratory Viral Infection Detected by Molecular Test<br />

in a Children’s Hospital in São Paulo, Brazil<br />

L. Almeida, L. B. Faro, A. C. C. Pignatari, O. Fernandes, H. Ionemoto,<br />

A. Lopes, A. Bousso, R. B. Ruivo, M. L. Garcia, N. Gaburo. DASA, SÃO<br />

PAULO, Brazil<br />

Background: Respiratory tract infection is <strong>the</strong> leading cause <strong>of</strong> hospitalization<br />

<strong>of</strong> infants and young children. Viruses are recognized as <strong>the</strong> major cause <strong>of</strong> <strong>the</strong>se<br />

infections and are usually suspected in clinical practice. However, <strong>the</strong> etiologic<br />

diagnosis depends on <strong>the</strong> laboratory tests to detect a specific virus. Respiratory<br />

diseases due virus are traditionally diagnosed by Direct Immun<strong>of</strong>luorescense (DIF)<br />

and cell culture, that are time consuming and are routinely available only for <strong>the</strong> more<br />

prevalent virus. Emerging pathogens are not detected by <strong>the</strong>se techniques. Molecular<br />

biology techniques for diagnosis <strong>of</strong> respiratory viral infection have been recently<br />

applied with high sensitivity and specificity allowing <strong>the</strong> detection <strong>of</strong> a panel <strong>of</strong> virus<br />

simultaneously, including genetic diversity <strong>of</strong> <strong>the</strong> same virus.<br />

Methods: From october to december 2012 a new molecular virus respiratory panel<br />

(RT-PCR Microarray: CLART® Pneumovir), that simultaneously detect different<br />

respiratory virus, was introduced in <strong>the</strong> diagnosis routine at a Children´s Hospital<br />

in <strong>the</strong> city <strong>of</strong> São Paulo, Brazil. The molecular biology panel detects Influenza A,<br />

Influenza A H1N1 strain 2009, Influenza B, Parainfluenza1, 2 and 3, Syncytial<br />

Respiratory Virus (RSV), Adenovirus, Bocavirus, Metapneumovirus, Coronavirus,<br />

Enterovirus and Rhinovirus. We evaluated <strong>the</strong> virus prevalence in 282 tests performed.<br />

Results: 282 respiratory samples, only one for each patient, were submitted to virus<br />

detection by <strong>the</strong> molecular panel. The prevalence observed was 18% for Parainfluenza<br />

3, 17% Adenovirus, 16% Bocavirus, 15% Rhinovirus, 8% Enterovirus, 1,4% Influenza<br />

C, 1,4% Parainfluenza 1, 1% RSV, 0,7% Influenza A, and 0,30% for Coronavirus<br />

Conclusion: The molecular panel detected a wide range <strong>of</strong> respiratory virus, including<br />

Bocavirus, Metapneumovirus, Enterovirus and Coronavirus that are not included<br />

in <strong>the</strong> DIF test . The early and precise identification <strong>of</strong> <strong>the</strong>se virus is <strong>of</strong> paramount<br />

relevance on clinical practice and on nosocomial infection control measures at <strong>the</strong><br />

hospital. This prevalence should be reevaluated at different seasons and in occasional<br />

outbreaks.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A211


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

B-144<br />

Frequency <strong>of</strong> mycobacterial species in Brazilian samples<br />

P. Trojano, F. Oliveira, F. Gandufe, O. Denardin, N. Gaburo. DASA, Sao<br />

Paulo Brasil, Brazil<br />

Background: Many mycobacterial species are pathogenic to humans, with infections<br />

occurring worldwide, such as Mycobacterium tuberculosis, <strong>the</strong> main specie responsible<br />

for causing tuberculosis. O<strong>the</strong>r mycobacterial species are increasingly shown to be <strong>the</strong><br />

cause <strong>of</strong> pulmonary and extra-pulmonary infection and are managed differently from<br />

M. tuberculosis infection. Rapid and accurate differentiation <strong>of</strong> mycobacterial species<br />

is, <strong>the</strong>refore, critical to guide timely and appropriate <strong>the</strong>rapeutic and public health<br />

management.<br />

Objective: The aim <strong>of</strong> this study is to describe <strong>the</strong> frequency <strong>of</strong> mycobacterial species<br />

in Brazilian samples from January 2011 to December 2012.<br />

Methods: We evaluated 89 samples from patients with clinical suspect <strong>of</strong><br />

mycobacterium infection. The samples had mycobacteria isolated by culture. The<br />

DNA was isolated by heating <strong>the</strong> sample at 100ºC for 30 minutes in order to break <strong>the</strong><br />

cell wall and release <strong>the</strong> genetic material. A polymerase chain reaction was performed<br />

and followed by a direct sequencing reaction. The result sequence was submitted to<br />

an internal database and a comparison with reference sequences was made through an<br />

alignment searching tool online (blast.ncbi.nlm.nih.gov/Em cache) in order to confirm<br />

<strong>the</strong> result found.<br />

Results: We found that M. tuberculosis was present in 36 (40,5%) samples and M.<br />

fortuitum in 11 samples (12,4%). O<strong>the</strong>r Mycobacterium species were identified in<br />

minor frequency such as M. massiliense - 7 samples (7,9%); M. kansasii - 6 samples<br />

(6,8%); M .intracellulare - 4 samples (4,5%); M. mucogenicum, M. chelonae,<br />

M. gordonae, - 3 samples (3,4%); M. neoaurum, Nocardia sp - 2 samples (2,3%)<br />

and Kitasatospora setae, M. avium, M. colombiense, M. senegalense, M.marinum,<br />

M.smegmatis, Propionibacterium acnes, Tsukamurella tyrosinosolvens - 1 sample<br />

(1,12%). Two samples showed co infection with different species: M. fortuitum/<br />

M.smegmatis - 1 sample (1,12%) and M. lentifl avum/M. genavense - 1 sample<br />

(1,12%). Two samples had undetermined results due PCR inhibition.<br />

Conclusion: The most frequent mycobacterium specie found was M. tuberculosis in<br />

36 (40,5%) <strong>of</strong> <strong>the</strong> samples followed by M. fortuitum in 11 samples (12,4%).<br />

B-146<br />

Microbiological aspects <strong>of</strong> confirmed cases <strong>of</strong> peritonitis: improving<br />

culture results in peritoneal dialysis associated peritonitis along 3<br />

years.<br />

M. P. Campagnoli 1 , F. F. Tuon 2 , M. D. C. Freire 1 , J. L. Rocha 1 . 1 DASA,<br />

CURITIBA, Brazil, 2 Infectious and Parasitic Diseases, Hosp. Universitário<br />

Evangélico, CURITIBA, Brazil<br />

Background: Peritonitis is one <strong>of</strong> <strong>the</strong> most serious complications <strong>of</strong> peritoneal<br />

dialysis. Pathogenic bacteria cause <strong>the</strong> majority <strong>of</strong> cases <strong>of</strong> peritonitis. A broad<br />

spectrum <strong>of</strong> gram-positive, gram-negative microorganisms and fungi, are involved<br />

in this complication. In addition, a significant percentage <strong>of</strong> episodes involve<br />

polymicrobial and culture-negative infection. Fungal infection is rare but it is<br />

associated with high morbidity, <strong>the</strong> inability to continue on <strong>the</strong> dialysis program and<br />

important mortality. Despite improvements in connectology, peritoneal dialysis (PD)-<br />

associated peritonitis contributes significantly to failure in patients maintained on PD.<br />

Methods: The aim <strong>of</strong> this research is to evaluate <strong>the</strong> microbiological aspects <strong>of</strong><br />

confirmed cases <strong>of</strong> peritonitis in a large central reference laboratory responsible to<br />

perform culture for 4 different PD centers. All positive results in <strong>the</strong> last 3 years where<br />

included for analysis.<br />

Results: From January 2010 to March 2012, <strong>the</strong> total number <strong>of</strong> samples submitted<br />

for laboratorial analysis was 197 and 60 showed to be positive cultures (30.5%). A<br />

large volume culture and precisely sediment culturing <strong>of</strong> 50 mL effluent was <strong>the</strong><br />

current technique at <strong>the</strong> beginning <strong>of</strong> <strong>the</strong> study and we found 25.5% <strong>of</strong> positivity<br />

(n=37 <strong>of</strong> 145). Such technique was replaced after April 2012 to bedside inoculation<br />

<strong>of</strong> 5-10 mL effluent in two blood culture bottles, presenting 44% <strong>of</strong> positivity (n=23<br />

<strong>of</strong> 52). In both scenarios, <strong>the</strong> specimens should arrive within 6 h at <strong>the</strong> laboratory.<br />

There was a significant improvent in culture positivivity (p=0,019) Comparison <strong>of</strong><br />

<strong>the</strong>se 2 particular momments is presented on figure 1. Candida non-albicans was <strong>the</strong><br />

microorganism with <strong>the</strong> highest prevalence if considering all Coagulase-negative<br />

Staphycocci as contaminants. In such scenario, false positives rates were 18,9% and<br />

21,7% in <strong>the</strong> different periods respectively.<br />

Conclusion: Specimen collection and culture techniques remain important issues<br />

that PD centers have to face. We identified better positivity results with bedside<br />

inoculation into blood culture bottles.<br />

B-145<br />

Epidemiologic study <strong>of</strong> patients with confirmed positive result for HIV<br />

between <strong>the</strong> years <strong>of</strong> 2008 to 2012<br />

P. S. Osorio 1 , M. F. Mantovani 1 , L. G. S. Carvalho 1 , M. Freire 2 , F. Sandrini 1 .<br />

1<br />

DASA, CASCAVEL, Brazil, 2 DASA, Rio de Janeiro, Brazil<br />

Background:AIDS (acquired immunodeficiency syndrome) is a relatively new<br />

disease, caused by HIV, a virus that attacks <strong>the</strong> immune system, incurable, and that<br />

induce to prejudice, stigma and discrimination. In Brazil, since 1980, we have recorded<br />

608,320 cases <strong>of</strong> AIDS. The number <strong>of</strong> patients with HIV remained at average <strong>of</strong><br />

30,000 new cases per year between 2008 and 2011, with a considerable decrease in<br />

2012 to 17,819 cases.Our objective was to assess <strong>the</strong> population characteristics and<br />

<strong>the</strong> results <strong>of</strong> patients in a large database <strong>of</strong> a clinical laboratory to which tests <strong>of</strong><br />

detection <strong>of</strong> HIV were requested.<br />

Methods:Using <strong>the</strong> laboratory database we accessed <strong>the</strong> epidemiological<br />

characteristics <strong>of</strong> patients with confirmed positive result for HIV from 2008 to 2012.<br />

For <strong>the</strong> analysis we considered as a child (0-10 years), young (11-20 years), adult<br />

(21-50 years) and elderly (51-90 years). Results:We had a total <strong>of</strong> 52,920 registered<br />

exams, from all regions <strong>of</strong> <strong>the</strong> country, where 19,370 were positive for HIV. Through<br />

data analysis we can see an increased time trend to <strong>the</strong> number <strong>of</strong> test ordering,<br />

but <strong>the</strong>re was a sudden decrease in <strong>the</strong> rate <strong>of</strong> positivity <strong>of</strong> <strong>the</strong>se requests, and an<br />

increasing <strong>of</strong> cases <strong>of</strong> HIV disease in males, compared to females between 2011 and<br />

2012. We also noted a decrease <strong>of</strong> HIV positive cases in children, and in turn, an<br />

increase <strong>of</strong> positive cases in young and adults (Table 1).<br />

Conclusion:Our data are consistent with national data, showing that <strong>the</strong> prevention<br />

program is being done properly, with a large investment in prevention and awareness<br />

about this disease in Brazilian population.<br />

A212 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Infectious Disease<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-147<br />

Increased antimicrobial resistance with time in uropathogens from<br />

over 5,000 samples from <strong>the</strong> pediatric community <strong>of</strong> a large city as a<br />

function <strong>of</strong> age and sex.<br />

J. L. Rocha 1 , F. F. Tuon 2 , M. P. Campagnoli 1 , O. Fernandes 1 . 1 DASA,<br />

CURITIBA, Brazil, 2 Infectious and Parasitic Diseases, Hosp. Universitário<br />

Evangélico, CURITIBA, Brazil<br />

Background: Empirical <strong>the</strong>rapy <strong>of</strong> urinary tract infection requires accurate<br />

knowledge <strong>of</strong> susceptibility. There is a hypo<strong>the</strong>sis that increasing bacterial resistance<br />

to most commonly used drugs in <strong>the</strong> pediatric population is ongoing.<br />

Methods:Along 5 years, all samples from 35 collecting units, processed by single<br />

central laboratory were analysed. Exclusion criteria: fungus, mixed cultures, age<br />

below 12 years old, coagulase-negative Staphylococcus, hospital and urine cultures<br />

with counts lower than 105 CFU/mL. For ESBL-positive germs, manual confirmation<br />

with disk approximation in addition Vitek 2® was performed.<br />

Results: 371,972 urocultures were processed by <strong>the</strong> laboratory. 72,949 were positive<br />

(19.6%). 6,347 (8.7%) were included for analysis, 76.5% <strong>of</strong> <strong>the</strong>m from girls. Girls<br />

were older than boys (4,3 versus 3,0 years old) (p 1% <strong>of</strong> <strong>the</strong> total sample. The data<br />

collected reveal E. coli with critically low but stable percentages <strong>of</strong> sensitivity to<br />

first generation cephalosporins and trimethoprim-sulfamethoxazole. Although <strong>the</strong><br />

total resistance against quinolones is lower than 5%, <strong>the</strong>re is a significant increment<br />

along <strong>the</strong> period (97,0% sensitivity in 2005 and 94,2% in 2010, p=0.02). There are<br />

better resistance pr<strong>of</strong>iles in children under 2 years old when compared with older<br />

children (p


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Infectious Disease<br />

B-150<br />

Comparison between Indirect Immun<strong>of</strong>luorescence Antibody (IFA)<br />

and dotblot enzyme immunoassay (EIA) methods to detect Coxiella<br />

burnetii (Q Fever) Phase I and II antibodies.<br />

C. M. Farris 1 , B. Kiehl 2 , J. Samuel 3 . 1 Viral and Rickettsial Diseases<br />

Department, Naval Medical Research Center, Silver Spring, MD, 2 GenBio,<br />

San Diego, CA, 3 Department <strong>of</strong> Microbial and Molecular Pathogenesis,<br />

College <strong>of</strong> Medicine, Texas A&M, Bryan, TX<br />

Coxiella burnetii is <strong>the</strong> causative agent <strong>of</strong> Q Fever, a world-wide zoonotic disease.<br />

Diagnosis <strong>of</strong> human disease is typically made using serology. Comparison between<br />

<strong>the</strong> indirect immun<strong>of</strong>luorescence antibody (IFA) and dot blot enzyme immunoassay<br />

(EIA) methods is reported.<br />

Materials and Methods: A commercial dotblot immunoassay, ImmunoDOT<br />

Coxiella Burnetii, was developed using a cell-free culture method to prepare purified<br />

phase I and II Coxiella burnetii antigens. IgG and IgM commercial IFA kits (Focus<br />

Diagnostics) and in-house prepared IFA tests are compared to <strong>the</strong> dotblot kit. Paired<br />

sera collected from thirty-eight (38) patients with symptomatology and laboratory<br />

results consistent with C. burnetii are tested. These serum pairs are part <strong>of</strong> a C.<br />

burnetii reference serum panel maintained by <strong>the</strong> university laboratory. Each <strong>of</strong> <strong>the</strong> 76<br />

specimens (38 serum pairs) is tested using <strong>the</strong> IFA tests detecting Phase I and II IgG or<br />

IgM. The 76 specimens are also tested using <strong>the</strong> ImmunoDOT Coxiella Burnetii test.<br />

Results: Sensitivity, based on paired serum interpretation is shown in Table 1. There<br />

is no significant difference (p=0.05, Chi-square, confidence limits based on Gart and<br />

Nam’s score method with skewness correction) between assay methods.<br />

Table 1: Sensitivity<br />

Method Phase 1 Phase 2 Combined<br />

EIA 67-91% 67-91% 67-91%<br />

Commercial IFA 61-87% 67-91% 70-93%<br />

In-house IFA 55-83% 55-83% 67-91%<br />

Summary: No significant difference between IFA and <strong>the</strong> dotblot is detected. In<br />

several cases, a second convalescent specimen is required for IFA sero-diagnosis<br />

while EIA reports a positive result using only a single, acute specimen. Presumably,<br />

phase I antigen purity improvement contributes to <strong>the</strong> added diagnostic utility.<br />

A214 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Proteins/Enzymes<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-151<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Proteins/Enzymes<br />

Identification <strong>of</strong> Novel Inflammatory Biomarkers in <strong>the</strong> Early<br />

Diagnosis <strong>of</strong> Chronic Kidney Disease<br />

M. Summers, M. Browne, C. Ledgerwood, C. Richardson, R. I. McConnell,<br />

S. P. Fitzgerald. Randox Laboratories Limited, Crumlin, United Kingdom<br />

Introduction: Chronic Kidney Disease (CKD) can go undiagnosed due to its<br />

asymptomatic nature and is described as a progressive loss in renal function leading to<br />

end-stage renal failure and death. In order to classify patients with early CKD (Stage<br />

1), Modification <strong>of</strong> Diet in Renal Disease (MDRD) guidelines suggest an eGFR ≥ 90<br />

ml/min/1.73m2 (based on <strong>the</strong> measurement <strong>of</strong> serum creatinine), with o<strong>the</strong>r evidence<br />

<strong>of</strong> kidney disease (proteinuria, haematuria, kidney inflammation). The complexity in<br />

diagnosing a patient with CKD at an early stage <strong>of</strong> disease has led to most patients not<br />

receiving a diagnosis until <strong>the</strong> disease has progressed to an advanced stage.<br />

Relevance: There currently are no accepted methods for easily determining kidney<br />

disease at early stages. Inflammation plays a key role in <strong>the</strong> development and<br />

progression <strong>of</strong> CKD and identification <strong>of</strong> inflammatory markers in patients suspected<br />

<strong>of</strong> having CKD may play a useful role in <strong>the</strong> diagnosis <strong>of</strong> disease. Inflammation can be<br />

monitored through <strong>the</strong> presence <strong>of</strong> signalling molecules, such as cytokines, and <strong>the</strong>ir<br />

soluble receptors. This study aimed to identify soluble cytokine receptors; soluble<br />

tumor necrosis factor 1 (sTNFRI) and 2 (sTNFRII) as potential novel markers to aid<br />

diagnosis <strong>of</strong> CKD at early stages following a multi-analytical approach.<br />

Methodology: Serum samples were taken from 327 patients with CKD (137 Stage<br />

1, 109 Stage 2 and 81 Stage 3) and 139 healthy controls. Concentrations <strong>of</strong> sTNFRI<br />

and sTNFRII in samples were determined using a cytokine biochip array applied to<br />

<strong>the</strong> Evidence Investigator analyser. Serum creatinine was also measured to determine<br />

eGFR using <strong>the</strong> MDRD method. Statistical analysis was performed using SPSS v20<br />

(IBM), all data represented as Median [Range].<br />

Results: Differences in concentration <strong>of</strong> each analyte across <strong>the</strong> disease groups were<br />

initially assessed using <strong>the</strong> non-parametric Krukal-Wallis testing: both analytes were<br />

shown to have significantly different levels across <strong>the</strong> different stages <strong>of</strong> disease<br />

(significance determined as p


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Proteins/Enzymes<br />

(Skyline s<strong>of</strong>tware), 2) co-elution <strong>of</strong> at least 6 transitions per peptide, 3) comparison<br />

<strong>of</strong> <strong>the</strong> observed fragmentation pattern with <strong>the</strong> fragmentation pattern displayed in<br />

publicly available databases (SRM atlas and GPM database). Based on SRM collider<br />

(www.srmcollider.org), three transitions per peptide were selected to generate unique<br />

ion signatures (127 peptides corresponding to 68 out <strong>of</strong> 76 candidate proteins). An<br />

EASY-nLC 1000 pump coupled to a TSQ Vantage (Thermo Fisher) were utilized<br />

for analysis. For protein quantification, twenty-one age-matched CSF samples were<br />

selected, including patients with HS (n=7), IS (n=7) and healthy controls (n=7).<br />

Samples were collected within 96 hours <strong>of</strong> symptoms onset and S100B protein was<br />

measured using a fully-automated electrochemoluminometric immunoassay (Roche<br />

Diagnostics).<br />

Results: S100B was significantly elevated (p


Proteins/Enzymes<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

and <strong>the</strong>n <strong>the</strong> 50 uL dried blood samples were punched and rehydrated with a buffer/<br />

deionized water solution. Ten uL <strong>of</strong> each extracted DBS sample was applied to <strong>the</strong><br />

IEF comb. Eighteen serum samples <strong>of</strong> <strong>the</strong> corresponding DBS phenotypes were also<br />

placed on a comb for comparison. IEF was performed on <strong>the</strong> Sebia Hydrasys using<br />

standard protocol and <strong>the</strong> resultant gel was stained, washed, and digitally scanned.<br />

Results: In Figure 1, phenotype MM is on <strong>the</strong> left, phenotype MS is in <strong>the</strong> center,<br />

and phenotype MZ is on <strong>the</strong> right. For each phenotype, <strong>the</strong> DBS sample is on <strong>the</strong> left<br />

and <strong>the</strong> corresponding serum sample is on <strong>the</strong> right. All 18 DBS phenotype samples<br />

displayed <strong>the</strong> unique identifiable banding patterns present in <strong>the</strong> serum samples.<br />

Conclusion: IEF <strong>of</strong> DBS samples adequately reveal <strong>the</strong> M, S, and Z alleles on <strong>the</strong><br />

Sebia Hydrasys. Work is underway to validate <strong>the</strong> 100+ additional rare alleles and to<br />

establish AAT protein stability on <strong>the</strong> filter paper.<br />

P = 0.01. The mean serum h-sCRP on <strong>the</strong> third day for patients with fractures(but<br />

without surgery) was higher (381.6 ± 122.7mg/L) than for those with s<strong>of</strong>t tissue<br />

injuries 376.1 ± 143.3mg/ L, and for controls 69.4 ± 68.1mg/L, P = 0.01.<br />

Conclusion: C - reactive protein levels increase in <strong>the</strong> blood <strong>of</strong> trauma patients as a<br />

result <strong>of</strong> tissue damage but decreases after <strong>the</strong> third day following trauma. However,<br />

in <strong>the</strong> presence <strong>of</strong> infection, <strong>the</strong> increase was sustained. We <strong>the</strong>refore recommend that<br />

serial quantitative c - reactive protein measurements be done as an adjunct to surgical<br />

care in patients with acute injuries.<br />

B-158<br />

A Novel Immunoassay for <strong>the</strong> Determination <strong>of</strong> <strong>the</strong> Chemokine<br />

RANTES<br />

M. F. Kelly, V. Toner, I. Vintila, C. Ledgerwood, R. I. McConnell, S. P.<br />

Fitzgerald. Randox Laboratories Limited, Crumlin, United Kingdom<br />

B-157<br />

High Sensitive C-reactive Protein in Patients With Acute injuries<br />

S. E. Idogun, E. Ayinbuomwan, P. E. Irhibhogbe, S. Ayinbuomwan.<br />

University <strong>of</strong> Benin Teaching Hospital, BENIN, Nigeria<br />

Background: For many years, C - reactive protein is known as a highly sensitive but<br />

non-specific marker for acute inflammation.<br />

Aim and Objectives: The aim <strong>of</strong> <strong>the</strong> study was to determine <strong>the</strong> serial serum level <strong>of</strong><br />

high sensitive C-reactive protein (h-sCRP) in patients with trauma.<br />

Subjects and Methods: Subjects were patients who were involved in vehicle crashes,<br />

burns, falls or o<strong>the</strong>r traumatic cases. A structured questionnaire was administered to<br />

all subjects to document <strong>the</strong>ir ages, sex, occupation, date and time <strong>of</strong> trauma, date <strong>of</strong><br />

admission, duration <strong>of</strong> hospital stay and complications. Samples were collected from<br />

participants for estimation <strong>of</strong> h-sCRP on days 1, 3, and 8. Samples were taken from<br />

control subjects for one time estimation <strong>of</strong> CRP by photometric method.<br />

Results: A total <strong>of</strong> 120 patients were studied, males were 98 (81.7%) and 22(18.3%)<br />

females. The most frequent cause <strong>of</strong> trauma amongst <strong>the</strong> patients was vehicular<br />

crashes 82(68.3%) followed by gunshot injuries 21(17.5%). The mean serum h-sCRP<br />

<strong>of</strong> <strong>the</strong> patients on <strong>the</strong> first day was (165.8 ± 104.2mg/L) but it peaked on <strong>the</strong> third day<br />

post trauma (378.8 ± 133.0mg/L) and declined on <strong>the</strong> eight day to 300.0 ± 156.5mg/L,<br />

Introduction: RANTES (CCL5/regulated on activation, normal T cell expressed and<br />

secreted) is a member <strong>of</strong> <strong>the</strong> CC subfamily <strong>of</strong> chemokines. RANTES mediates <strong>the</strong><br />

trafficking and homing <strong>of</strong> classical lymphoid cells such as T cells and monocytes,<br />

but also acts on a range <strong>of</strong> o<strong>the</strong>r cells, including basophils, eosinophils, natural killer<br />

cells, dendritic cells and mast cells. A wide range <strong>of</strong> inflammatory disorders and<br />

pathologies have been associated with increased RANTES expression, including:<br />

asthma, allogeneic transplant rejection, a<strong>the</strong>rosclerosis, arthritis, atopic dermatitis,<br />

delayed-type hypersensitivity reactions, glomerulonephritis, endometriosis, some<br />

neurological disorders such as Alzheimer’s disease and certain malignancies. It also<br />

plays a key role in <strong>the</strong> immune response to viral infection. Current available immunoanalytical<br />

methods for <strong>the</strong> determination <strong>of</strong> this chemokine require sample dilution<br />

prior to assessment, which could lead to inaccuracy in <strong>the</strong> pre-analytical steps as high<br />

dilutions and small sample volumes are involved. This would be detrimental for <strong>the</strong><br />

final outcome <strong>of</strong> <strong>the</strong> analysis.<br />

Relevance: This study reports <strong>the</strong> development <strong>of</strong> a biochip based immunoassay<br />

for <strong>the</strong> determination <strong>of</strong> RANTES in neat samples, <strong>the</strong>reby eliminating <strong>the</strong> need <strong>of</strong><br />

sample dilution, which not only simplifies <strong>the</strong> analytical process but also contributes<br />

to a more accurate determination.<br />

Methodology: A chemiluminescent biochip based immunoassay was employed: a<br />

TAG -specific monoclonal antibody was immobilised and stabilised on <strong>the</strong> biochip<br />

surface. Reagent containing <strong>the</strong> RANTES specific antibody coupled to <strong>the</strong> TAG<br />

and calibrator/sample were added to <strong>the</strong> biochip, which is also <strong>the</strong> vessel <strong>of</strong> <strong>the</strong><br />

immunoreaction. After incubation <strong>of</strong> 1 hour at 37°C and a washing step, a detector<br />

antibody was added. After incubation <strong>of</strong> 1 hour at 37°C and a washing step, <strong>the</strong> signal<br />

substrate was added. The chemiluminescent signal was detected by digital imaging<br />

technology in <strong>the</strong> Evidence Investigator analyser. The system incorporates dedicated<br />

s<strong>of</strong>tware for data processing and archiving. The signal is directly proportional to<br />

<strong>the</strong> concentration <strong>of</strong> <strong>the</strong> analyte in <strong>the</strong> calibrator/sample. Six matched serum, EDTA<br />

plasma and platelet poor plasma samples from apparent healthy subjects were<br />

analysed.<br />

Results: Initial evaluation showed that <strong>the</strong> immunoassay generated a calibration<br />

curve for RANTES spanning <strong>the</strong> range <strong>of</strong> 0-2000ng/ml. The functional sensitivity <strong>of</strong><br />

<strong>the</strong> assay was determined to be 9.2ng/ml with intra-assay (n=20) precision < 6%. The<br />

average RANTES concentration in serum was 332ng/ml while <strong>the</strong> concentrations in<br />

EDTA and platelet poor plasma samples were 104 and 124ng/ml respectively.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A217


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Proteins/Enzymes<br />

Conclusions: These results demonstrate a new immunoassay method for <strong>the</strong><br />

quantification <strong>of</strong> RANTES in serum, EDTA plasma and platelet poor plasma without<br />

sample dilution. This will improve <strong>the</strong> performance <strong>of</strong> <strong>the</strong> assay and increase <strong>the</strong> ease<br />

<strong>of</strong> use by <strong>the</strong> end user. In addition, <strong>the</strong> assay is suitable for multiplexing technology<br />

for which most immunoassays do not require sample dilution.<br />

B-159<br />

Development <strong>of</strong> Highly Specific Monoclonal Antibodies to FABP1<br />

A. Gribben, P. Ratcliffe, P. Stewart, S. Savage, P. Lowry, R. I. McConnell,<br />

S. P. Fitzgerald. Randox Laboratories Limited, Crumlin, United Kingdom<br />

Introduction: Fatty acid binding proteins (FABP) are small cytoplasmic lipid binding<br />

proteins that are expressed in a tissue specific manner. FABPs bind free fatty acids,<br />

cholesterol, and retinoids; and are involved in intracellular lipid transport. Circulating<br />

FABP levels are used as indicators <strong>of</strong> tissue damage. Some FABP polymorphisms<br />

have been associated with disorders <strong>of</strong> lipid metabolism and <strong>the</strong> development <strong>of</strong><br />

a<strong>the</strong>rosclerosis. Liver-type FABP (L-FABP/FABP1) was one <strong>of</strong> <strong>the</strong> first FABPs to be<br />

identified. FABP1 is a ~14kDa member <strong>of</strong> <strong>the</strong> fatty acid binding family <strong>of</strong> proteins<br />

and it is mainly expressed in hepatocytes <strong>of</strong> <strong>the</strong> liver, but is also found in proximal<br />

tubular cells <strong>of</strong> <strong>the</strong> kidney and in colonocytes and enterocytes (jejunal and ileal) <strong>of</strong> <strong>the</strong><br />

gastrointestinal tract. FABP1 is a sensitive biomarker for abdominal disease/injury,<br />

kidney disease and liver disease due to its high tissue concentration and low plasma<br />

concentration along with its relatively small size that results in its early release after<br />

tissue damage.<br />

Relevance: The aim <strong>of</strong> this work was to develop two highly specific monoclonal<br />

antibodies to work as a sandwich pair for FABP1, which will be used as a tool in <strong>the</strong><br />

development <strong>of</strong> efficient immunoassays for application in clinical settings.<br />

Methodology: The nine members <strong>of</strong> <strong>the</strong> FABP family were expressed as full length<br />

recombinant proteins in E. coli. Sheep were immunized with <strong>the</strong> sequence for FABP1.<br />

Lymphocytes were collected and fused with heteromyeloma cells. Supernatants from<br />

<strong>the</strong> resulting hybridomas were screened for <strong>the</strong> presence <strong>of</strong> FABP1 specific antibodies<br />

using <strong>the</strong> o<strong>the</strong>r eight members <strong>of</strong> <strong>the</strong> FABP family in negative selection ELISA based<br />

assays. Positive hybridomas were cloned to produce stable monoclonal hybridomas.<br />

The antibodies were purified and evaluated by direct binding ELISA to determine<br />

<strong>the</strong>ir specificity for FABP1.<br />

Epitope mapping <strong>of</strong> capture and detector/tracer antibodies was also completed using<br />

overlapping peptides derived from FABP1. Biochip based immunoassays were<br />

employed to evaluate <strong>the</strong> analytical performance <strong>of</strong> <strong>the</strong> antibody pair, <strong>the</strong> assay was<br />

applied to <strong>the</strong> Evidence Investigator analyser.<br />

Results: Analytical evaluation indicated that <strong>the</strong> monoclonal antibodies generated<br />

were specific for FABP1, exhibiting


Proteins/Enzymes<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-162<br />

Can CSF indices predict <strong>the</strong> presence <strong>of</strong> oligoclonal bands in isoelectric<br />

focusing gels ?<br />

I. A. Hashim 1 , S. Hirany 2 , P. Kutscher 2 , J. Balko 1 . 1 University <strong>of</strong> Texas<br />

Southwestern Medical Center, Dallas, TX, 2 Parkland Memorial Hospital,<br />

Dallas, TX<br />

Introduction: Analysis <strong>of</strong> cerebrospinal fluid Immunoglobulin G (IgG) indices and<br />

oligoclonal bands (OCBs) is essential in <strong>the</strong> investigation <strong>of</strong> multiple sclerosis and<br />

o<strong>the</strong>r central nervous system disorders. We examined <strong>the</strong> utility <strong>of</strong> CSF indices in<br />

predicting <strong>the</strong> presence <strong>of</strong> oligoclonal bands. CSF indices predictive <strong>of</strong> and associated<br />

with positive OCBs in gels are not known. Knowing <strong>the</strong> indices values associated with<br />

presence <strong>of</strong> OCBs may be helpful when examining isoelectric focusing gels.<br />

Method: Paired CSF and serum IgG and albumin levels as well as associated<br />

oligoclonal bands results were collected over a two-year period. CSF IgG index,<br />

syn<strong>the</strong>sis rate, as well as localized syn<strong>the</strong>sis were calculated. Values obtained were<br />

correlated with findings <strong>of</strong> OCBs by isoelectric focusing electrophoresis. IgG and<br />

albumin levels were measured using BN-II-Nephelometer (Siemens, USA) and<br />

OCBs by isoelectric focusing (Sebia, USA). Analysis was performed according to<br />

manufacturers’ instructions.<br />

Results: 376-matched sets <strong>of</strong> results were obtained. IgG index ranged from 0.26 to<br />

3.48 (median 0.53), IgG local syn<strong>the</strong>sis ranged from -14.67 to 38.02 (median -0.72),<br />

IgG syn<strong>the</strong>sis rate ranged from -24.61 to 223.96 (median -1.99), and albumin index<br />

ranged from 1.5 to 54.3 (median 5.0). 79 samples exhibited blood brain barrier<br />

impairment as indicated by an albumin index > 9 and were excluded from <strong>the</strong><br />

analysis. 26.3 % <strong>of</strong> patients were positive for <strong>the</strong> presence <strong>of</strong> OCBs by isoelectric<br />

focusing. There was good correlation between IgG index and IgG local syn<strong>the</strong>sis,<br />

and IgG syn<strong>the</strong>sis rate (r= 0.71 and 0.68), respectively. In patients with intact blood<br />

brain barrier, an IgG index greater than 0.7 predicted <strong>the</strong> presence <strong>of</strong> OCBs at 91 %,<br />

whereas, IgG index levels below 0.7 predicted absence <strong>of</strong> OCBs at 92.7%. In patients<br />

with blood brain barrier impairment, IgG local syn<strong>the</strong>sis had a better correlation with<br />

<strong>the</strong> presence <strong>of</strong> OCBs.<br />

Conclusion: This study suggests that CSF Indices can be used to predict <strong>the</strong> presence<br />

<strong>of</strong> oligoclonal bands in isoelectric focusing gels. In patients with an intact blood brain<br />

barrier, IgG index >0.7 is predictive <strong>of</strong> a positive OCB in gels. Those with impaired<br />

blood brain barrier, IgG local syn<strong>the</strong>sis is a better predictor than IgG index.<br />

B-163<br />

Optimization <strong>of</strong> gradient chromat<strong>of</strong>ocusing HPLC and comparison<br />

with reversed-phase HPLC in <strong>the</strong> chromatography <strong>of</strong> proteins<br />

D. J. Anderson, H. Jogiraju, K. K. Pedada. Cleveland State University,<br />

Cleveland, OH<br />

Background and Objective: Gradient chromat<strong>of</strong>ocusing (GCf) is a HPLC technique<br />

that generates linear pH gradients on weak anion-exchange columns (in <strong>the</strong> present<br />

study) with low-molecular weight buffer components. The advantages <strong>of</strong> GCf are its<br />

flexibility in generating pH gradients compared to conventional chromat<strong>of</strong>ocusing,<br />

higher resolution and narrower peaks compared to ion-exchange HPLC, and<br />

separation based on <strong>the</strong> protein’s pI. The objective <strong>of</strong> <strong>the</strong> present study is optimizing<br />

and evaluating GCf in protein analysis by: 1) developing a new approach in generating<br />

smooth linear pH gradients (problematic in GCf techniques); 2) studying <strong>the</strong> effect <strong>of</strong><br />

<strong>the</strong> number <strong>of</strong> buffer components on peak width and resolution; and 3) comparing<br />

performance <strong>of</strong> GCf with reversed-phase HPLC.<br />

Methods: The innovation in linear pH gradient generation (pH 6.50 to 3.50 in 40 min,<br />

1 ml/min on Waters DEAE 8HR, 1000Å, 4.6 x 100mm, 8μ) was accomplished by<br />

adding a “bridging buffer” into both <strong>the</strong> aqueous basic application buffer [consisting<br />

<strong>of</strong> 10 mM each <strong>of</strong> bis-tris methane (6.46) and 3-methyl pyridine (5.68), and 5 mM<br />

acetic acid (4.76), in 5% methanol adjusted to pH 6.50 with ammonium hydroxide]<br />

and <strong>the</strong> aqueous acidic elution buffer [consisting <strong>of</strong> 5 mM 3-methyl pyridine (5.68),<br />

10 mM acetic acid (4.76) and 10 mM lactic acid (3.81)] (buffer component pKa given<br />

in <strong>the</strong> paren<strong>the</strong>ses). The bridging buffers were acetic acid (a normal component <strong>of</strong> <strong>the</strong><br />

elution buffer) in <strong>the</strong> application buffer and 3-methyl pyridine (a normal component<br />

<strong>of</strong> <strong>the</strong> application buffer) in <strong>the</strong> elution buffer Proteins were separated according to pI<br />

with this four-component buffer system and <strong>the</strong> results compared with that obtained<br />

by a seven-component buffer system, which had more narrowly spaced pKa buffer<br />

components. Additional components in <strong>the</strong> seven-component buffer system were 10<br />

mM 4-methyl pyridine (6.02) and 10 mM pyridine (5.25) in <strong>the</strong> application buffer and<br />

10 mM 4-chlorophenyl acetic acid (4.19) in <strong>the</strong> elution buffer. Bridging buffers were<br />

5 mM acetic acid and 5 mM pyridine. Reversed-phase HPLC used a C4, Nest Group,<br />

250mm × 0.3mm, 5u, 300Ǻ column, employing a 50 min linear gradient from 2% to<br />

81% acetonitrile in 50 min at a flow rate <strong>of</strong> 7 uL/min.<br />

Results: Addition <strong>of</strong> <strong>the</strong> bridging buffer components smoo<strong>the</strong>d <strong>the</strong> irregularity that<br />

usually occurs in <strong>the</strong> middle portion <strong>of</strong> <strong>the</strong> pH gradient. Half-height peak widths in<br />

<strong>the</strong> seven-component buffer system were less for <strong>the</strong> proteins studied than <strong>the</strong> fourcomponent<br />

buffer system: β-lactoglobulin A (0.94 vs. 1.24 min), β-lactoglobulin B<br />

(0.5 vs. 1.11 min), bovine serum albumin (0.7 vs. 2.69 min), conalbumin (1.4 vs.<br />

1.78 min) and ovalbumin (0.46 vs. 0.71 min). Resolution increased by an average<br />

<strong>of</strong> 59% for <strong>the</strong> greater component buffer system. GCf performed better compared to<br />

reversed-phase HPLC, with an average decrease <strong>of</strong> peak width and average increase<br />

in resolution by factors <strong>of</strong> 2.7 and 6.9, respectively.<br />

Conclusion: The fundamental studies presented here advance <strong>the</strong> technique <strong>of</strong> ionexchange<br />

HPLC in protein analysis. Potential clinical applications <strong>of</strong> GCf include<br />

hemoglobin analysis and discovery <strong>of</strong> disease markers in 2D-HPLC proteomic<br />

techniques.<br />

B-164<br />

A new method for immuno-turbidimetric measurement <strong>of</strong> Calprotectin<br />

in feces, plasma and o<strong>the</strong>r body-fluids.<br />

L. A. Hansson 1 , A. M. Havelka 2 , C. B. Johansson 3 . 1 Department <strong>of</strong><br />

Molecular Medicine and Surgery, Stockholm, Sweden, 2 Department <strong>of</strong><br />

Molecular Medicine and Surgery Karolinska Institute, Stockholm, Sweden,<br />

3<br />

Department <strong>of</strong> Molecular Medicine and Surgery Karolinska Insitute,<br />

Stockholm, Sweden<br />

Background: The interest in calprotectin has been increasing during last few years<br />

due to its potential as a non-invasive, cheap and sensitive marker for inflammation,<br />

particularly for intestinal inflammation. Fecal Calprotectin might in <strong>the</strong> future be used<br />

as a screening tool to exclude unnecessary colon investigations.<br />

Currently, calprotectin is measured with commercially available enzyme-linked<br />

immunosorbent assays (ELISA) and EliA (Fluoroenzyme immunoassay), which are<br />

marketed by several manufacturers. At present, <strong>the</strong>se methods are time-consuming<br />

and used only in clinical laboratories. Moreover, determination <strong>of</strong> calprotectin in feces<br />

requires <strong>of</strong>ten manual and long pre-analytical processing <strong>of</strong> <strong>the</strong> fecal samples, which<br />

may lead to very long turn-a-round time for <strong>the</strong> calprotectin results.<br />

We have validated a new immune-turbidimetric assay for determination <strong>of</strong> calprotectin<br />

in combination with a fully automatic system for pre-analytical processing <strong>of</strong> fecal<br />

samples in order to improve efficiency and generate shorter turn-a-round time for <strong>the</strong><br />

Calprotectin results.<br />

Methods: A new particle-enhanced immune-turbidimetric assay (Gentian, Moss,<br />

Norway) for determination <strong>of</strong> Calprotectin was validated. Fecal Calprotectin was<br />

assayed on a Cobas c111 system (Roche AG, Basel Schweiz) .<br />

Pre-analytical processing <strong>of</strong> fecal samples was performed with a fully automated<br />

robotic system (SoniC, S2G Scandinavia) and turn-around time for reporting <strong>of</strong><br />

results was well within a working-day.<br />

Results: Linearity was proven throughout <strong>the</strong> measuring range from 1 to 50 mg/L for<br />

plasma samples and 50 to 2500 mg/kg for fecal samples. Within-run CVs for fecal<br />

Calprotectin ranged from 2,2 - 9,6 %, for concentration range 50 - 700 mg/kg. Good<br />

agreement was achieved in <strong>the</strong> comparisons between <strong>the</strong> Gentian-Calprotectin assay<br />

and <strong>the</strong> commercially available ELISAs (Calpro AS and BÜHLMANN Laboratories<br />

AG: slope range 1,08 - 1,38, R 2 = 0,89-0,92).<br />

Conclusions: The immune-turbidimetric Calprotectin assay was shown to be precise<br />

and accurate with proven linearity over <strong>the</strong> measuring range. Good comparability<br />

was obtained with o<strong>the</strong>r commercially available ELISAs. The automatization <strong>of</strong><br />

both pre-analytical processing <strong>of</strong> fecal samples and measurement <strong>of</strong> Calprotectin<br />

concentration resulted in improved efficiency and significantly shorter turn-aroundtime<br />

for reporting <strong>the</strong> Calprotectin results.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A219


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Proteins/Enzymes<br />

B-166<br />

Use <strong>of</strong> correlation equations with <strong>the</strong> reference method to harmonize<br />

Alkaline Phosphatase results <strong>of</strong> routine methods<br />

X. Qin 1 , C. Qian 1 , S. Xie 1 , Z. Qi 1 , X. Cheng 1 , L. Qiu 1 , J. Miller 2 . 1 Department<br />

<strong>of</strong> Laboratory Medicine, Peking Union Medical College Hospital, Beijing,<br />

China, 2 Department <strong>of</strong> Pathology and Laboratory Medicine,University <strong>of</strong><br />

Louisville Hospital, louisville, KY<br />

Background: Some large health care systems have multiple instruments and methods<br />

for <strong>the</strong> same analyte. The results <strong>of</strong> <strong>the</strong>se disparate methods <strong>of</strong>ten vary. Patients<br />

may have analyses performed by more than one method and it is desirable for those<br />

results to be comparable. Alkaline phosphatase (ALP) is an important enzyme for<br />

evaluating hepatic, biliary tract, and bone diseases. However, ALP results vary among<br />

<strong>the</strong> methods in our system. We hypo<strong>the</strong>sized that we could adjust each routine method<br />

based on its correlation with <strong>the</strong> reference method to make all methods equivalent and<br />

comparable to <strong>the</strong> reference method.<br />

Methods: We set up <strong>the</strong> International Federation <strong>of</strong> Clinical Chemistry (IFCC)<br />

reference method for ALP at 37 o C (Clin Chem Lab Med. 2011;49:1439). The accuracy<br />

<strong>of</strong> this method was confirmed by acceptable results on samples from <strong>the</strong> 2011<br />

external quality assessment scheme for reference laboratories in laboratory medicine<br />

(RELA-IFCC) and imprecision was less than 1%. ALP was measured in duplicate<br />

on 10 patient specimens on each <strong>of</strong> 4 days (n=40) by <strong>the</strong> Roche Modular, Olympus<br />

AU5400, and Siemens Dimension methods, and compared with <strong>the</strong> reference method.<br />

ALP activities covered <strong>the</strong> analytical range (10-741 U/L). Correlation between<br />

methods was evaluated using <strong>the</strong> least squares regression analysis, and Pearson<br />

correlation coefficients were determined. Routine method results were adjusted using<br />

<strong>the</strong> correlation equation. The predicted bias and 95% confidence interval (CI) were<br />

calculated according to CLSI EP9-A2.<br />

Results: All three routine methods correlated well to <strong>the</strong> reference method (r 2 >0.99).<br />

The regression equations <strong>of</strong> <strong>the</strong> Roche, Olympus, and Dimension methods (y) vs.<br />

<strong>the</strong> reference method (x) were, respectively, y=0.923x+2.996; y=1.084x-2.806; and,<br />

y=1.084x+2.286. The extreme value <strong>of</strong> <strong>the</strong> 95% CI <strong>of</strong> <strong>the</strong> predicted bias at <strong>the</strong> 400<br />

U/L Medical Decision Level <strong>of</strong> ALP is -35.1 U/L (-8.8%), +34.3 (+8.6%), and +43.1<br />

U/L (+10.8%), for <strong>the</strong> Roche, Olympus, and Dimension methods, respectively. These<br />

all exceed <strong>the</strong> desirable bias <strong>of</strong> 6.4% based on biological variation. The corresponding<br />

adjustment equations (solving <strong>the</strong> equations for x) were, respectively, x=1.083y-3.246;<br />

x=0.9225y+1.919; and, x=0.922y-2.109. These adjustment equations were used to<br />

convert <strong>the</strong> routine method raw ALP activity (y) to <strong>the</strong> equivalent reference method<br />

result (x). After making <strong>the</strong>se adjustments, <strong>the</strong> regression equations <strong>of</strong> <strong>the</strong> Roche,<br />

Olympus, and Dimension methods (y) vs. <strong>the</strong> reference method (x) were, respectively,<br />

y=0.9994x-0.008; y=0.9998x-0.666; and, y=0.99996x+0.005. The extreme value <strong>of</strong><br />

<strong>the</strong> 95% CI <strong>of</strong> <strong>the</strong> predicted bias at <strong>the</strong> 400 U/L decision level, after adjustment, were<br />

-3.6 U/L (-0.9%), -7.3 U/L (-1.8%), and -2.8 U/L (-0.7%), respectively. The bias <strong>of</strong><br />

all three methods was within <strong>the</strong> desirable bias <strong>of</strong> 6.4%. The adjusted routine method<br />

ALP results match <strong>the</strong> reference method results extremely well.<br />

Conclusion: By making <strong>the</strong>se adjustments to <strong>the</strong> three routine ALP methods <strong>the</strong>y<br />

all agree much more closely to <strong>the</strong> reference method results and to each o<strong>the</strong>r. This<br />

strategy for harmonizing <strong>the</strong> ALP results produced by our routine methods allows<br />

individual patient’s results to be more consistent when different methods are used at<br />

different times.<br />

B-167<br />

Development <strong>of</strong> a new homogeneous immunoassay for Ferritin with<br />

ultra-sensitivity<br />

M. Kano, R. Tachibana, Y. Sato, Y. Ito. Research and Development<br />

Department, Denka Seiken Co., Ltd., Niigata, Japan<br />

Background: Because <strong>of</strong> wide variety <strong>of</strong> clinical significances <strong>of</strong> Ferritin in both low<br />

such as iron deficiency anemia and high serum levels (a lower threshold is 12 μg/L<br />

or below and an upper threshold is 300 μg/L or greater), assays for serum Ferritin<br />

level are required to have a wide assay range with high sensitivity. In addition, serum<br />

Ferritin levels may increase very high in some disorders such as hemochromatosis,<br />

hemosiderosis, etc. Thus it is also important for assays for serum Ferritin to have good<br />

prozone (high dose hook effect) tolerance for accurate and reliable measurements. We<br />

developed a new latex particle-enhanced turbidimetric immunoassay for serum and<br />

plasma Ferritin with ultra-sensitivity and excellent prozone tolerance. We compared<br />

our new assay to o<strong>the</strong>r Ferritin assays already marketed including <strong>the</strong> one currently<br />

available from Denka Seiken.<br />

Methods: We carried out a performance verification study and a method comparison<br />

study against five o<strong>the</strong>r Ferritin reagents on a Hitachi 917 analyzer.<br />

Results: The new assay showed <strong>the</strong> correlation coefficient over 0.99 against <strong>the</strong><br />

current assay from Denka Seiken even on <strong>the</strong> unique clinical samples such as EBV<br />

IgG positive samples, Rheumatoid factor high positive samples, etc. It showed<br />

prozone tolerance that is at least equivalent to <strong>the</strong> o<strong>the</strong>r reagents or even better. The<br />

new assay showed <strong>the</strong> best performance in terms <strong>of</strong> <strong>the</strong> sensitivity and showed <strong>the</strong><br />

lowest detection limit and smallest CVs from within-run imprecision with samples<br />

around <strong>the</strong> lower threshold (5 - 15 μg/L).<br />

Conclusion: The new Ferritin assay from Denka Seiken showed <strong>the</strong> best performance<br />

compared to <strong>the</strong> o<strong>the</strong>r Ferritin assays already marketed. The new assay showed<br />

excellent precision, sensitivity and prozone for diagnosis <strong>of</strong> various disorders where<br />

Ferritin level is ei<strong>the</strong>r abnormally low or high without nonspecific reaction. This new<br />

assay can give laboratories a more economical and flexible approach for Ferritin<br />

determination.<br />

B-168<br />

An Evaluation <strong>of</strong> Specific Protein Assays on Mindray’s BS-2000M1<br />

Clinical Chemistry System*<br />

Y. Li, J. Zhuang, C. Chen, X. Zhang, J. Liu. Department <strong>of</strong> Laboratory<br />

Medicine, Guangdong Provincial Hospital <strong>of</strong> Traditional Chinese<br />

Medicine, Guangzhou, China<br />

Background: Specific proteins are useful markers in <strong>the</strong> clinical laboratory for <strong>the</strong><br />

diagnosis <strong>of</strong> immunologic disorders and monitoring changes in <strong>the</strong> normal polyclonal<br />

mixture <strong>of</strong> serum immunoglobulins. Mindray’s BS-2000M1 (Shenzhen Mindray Bio-<br />

Medical Electronics CO., LTD., P.R. China) is a high throughput clinical chemistry<br />

system <strong>of</strong> 2200 tests/hour with ISE, and has a broad test menu including specific<br />

proteins (Calibrators are traceable to ERM-DA470k).<br />

Objective: The purpose <strong>of</strong> this study was to evaluate <strong>the</strong> performance <strong>of</strong> specific<br />

protein immunoturbidimetric assays on <strong>the</strong> new Mindray’s BS-2000M1 clinical<br />

chemistry system in comparison to <strong>the</strong> Cobas® 8000 clinical chemistry system<br />

(Roche Diagnostics, Germany) using patient specimens received into <strong>the</strong> laboratory<br />

for routine testing.<br />

Methods: Five <strong>of</strong> <strong>the</strong> currently available BS-2000M1 serum protein<br />

immunoturbidimetric assays were evaluated as part <strong>of</strong> this study. Evaluation protocols<br />

for precision were based on CLSI EP-5A2 methods. Linearity protocol was based on<br />

CLSI guideline EP6-A. Method comparison was evaluated using samples spanning<br />

<strong>the</strong> dynamic range based on CLSI guideline EP9-A2.<br />

Results: Total precision targets were met for all specific proteins, as well as withinrun<br />

targets. Total %CV’s ranged from 1.34-3.15%. Linearity met <strong>the</strong> Mindray claimed<br />

dynamic range in all cases. Linear regression results from <strong>the</strong> method comparison<br />

studies between <strong>the</strong> BS-2000M1 and <strong>the</strong> Cobas 8000 are presented in <strong>the</strong> table.<br />

Method Comparison Results Between BS-2000M1 and Cobas 8000<br />

Assay Range (g/L) N Slope Intercept R<br />

C3 0.19-1.54 62 0.96 -0.07 0.998<br />

C4 0.010-0.480 62 0.96 0.00 0.997<br />

IG-A 0.18-6.26 64 1.03 -0.16 0.997<br />

IG-G 5.82-22.89 65 1.06 0.30 0.992<br />

IG-M 0.19-3.69 65 1.08 -0.02 0.998<br />

A220 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Proteins/Enzymes<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Conclusions: With respect to precision, linearity, and accuracy <strong>of</strong> serum protein<br />

assays tested, Mindray’s BS-2000M1 clinical chemistry system produces results that<br />

were consistent with Cobas 8000 clinical chemistry system.<br />

* not yet available for in vitro diagnostic use in <strong>the</strong> US.<br />

B-169<br />

Development <strong>of</strong> candidate reference material SRM 2924 C-reactive<br />

Protein Solution<br />

E. L. Kilpatrick. National Institute <strong>of</strong> Standards and Technology,<br />

Gai<strong>the</strong>rsburg, MD<br />

The goal <strong>of</strong> <strong>the</strong> current research is to produce a pure compound certified reference<br />

material for C-reactive protein (CRP) to be used in <strong>the</strong> standardization <strong>of</strong> clinical<br />

laboratory assays. The Joint Committee for Traceability in Laboratory Medicine<br />

(JCTLM) maintains a database <strong>of</strong> higher-order reference materials for laboratory<br />

medicine and in vitro diagnostics. Currently, <strong>the</strong>re is no JCTLM-approved material<br />

for pure CRP. The National Institute <strong>of</strong> Standards and Technology (NIST) has<br />

procured candidate material to generate SRM 2924, C-reactive Protein Solution. The<br />

material was prepared as a solution <strong>of</strong> approximately 0.5 mg <strong>of</strong> recombinant CRP in<br />

a volume <strong>of</strong> 1 mL aqueous buffer (concentration = 0.5 mg/mL) and will be analyzed<br />

for protein concentration as well as structural conformation and related attributes.<br />

Preliminary analysis <strong>of</strong> molar mass was performed using two methods: matrixassisted<br />

laser desorption ionization time <strong>of</strong> flight mass spectrometry (MALDI-MS)<br />

and electrospray ionization mass spectrometry (LC/MS) with deconvolution. The<br />

molar mass determined by each method was in close agreement (MALDI-MS (-313<br />

ppm, n=10); LC/MS - (21 ppm, n=8) with <strong>the</strong> sequence calculated mass <strong>of</strong> 23029<br />

Dalton including known post-translational modifications. Initial purity assessment<br />

was performed using sodium dodecyl sulfate polyacrylamide gel electrophoresis<br />

(SDS-PAGE, n=10) indicating that only a single band was evident upon Coomassie<br />

blue staining. Fur<strong>the</strong>r analysis will include amino acid analysis by isotope-dilution<br />

mass spectrometry for concentration assignment and density measurements by <strong>the</strong><br />

Lang-Levy method. Issuance <strong>of</strong> SRM 2924 will enable <strong>the</strong> generation <strong>of</strong> secondary<br />

reference materials using higher order methods leading to advances in standardization<br />

<strong>of</strong> CRP clinical measurements.<br />

B-170<br />

Alpha-defensin in synovial fluid as a new biomarker for <strong>the</strong> diagnosis<br />

<strong>of</strong> peripros<strong>the</strong>tic joint infection<br />

C. Deirmengian 1 , K. Kardos 1 , P. Kilmartin 1 , A. Cameron 1 , D. Chung 1 , K.<br />

Schiller 1 , K. Birkmeyer 1 , G. Kazarian 1 , J. Parvizi 2 . 1 CD Diagnostics, Inc,<br />

Wynnewood, PA, 2 Rothman Institute <strong>of</strong> Orthopedics, Thomas Jefferson<br />

University Hospital, Philadelphia, PA<br />

Background: Pros<strong>the</strong>tic joint infection (PJI) occurs after primary joint replacements<br />

at a rate <strong>of</strong> 1.0-2.5% and increases to 2.0-5.8% in revision surgeries. When treating<br />

a painful joint replacement, <strong>the</strong> ability to distinguish between septic and aseptic<br />

failure <strong>of</strong> <strong>the</strong> pros<strong>the</strong>sis is critical, as <strong>the</strong> treatment for PJI necessitates unique<br />

surgical strategies that aim to eradicate <strong>the</strong> organism. Currently, surgeons utilize a<br />

wide spectrum <strong>of</strong> tests in <strong>the</strong> attempt to diagnose PJI, including local measures <strong>of</strong><br />

synovial inflammation (synovial fluid white blood cell count and differential, synovial<br />

tissue white blood cell count), systemic measures <strong>of</strong> inflammation (serum C-reactive<br />

protein level, erythrocyte sedimentation rate), radiologic tests (radiographs, bone<br />

scan), and bacterial isolation techniques (Gram stain, culture). Each <strong>of</strong> <strong>the</strong>se methods<br />

individually has limitations for ei<strong>the</strong>r sensitivity or specificity. It has been reported<br />

that 10-20% <strong>of</strong> all confirmed infections cannot be confirmed via culture methods.<br />

The failure <strong>of</strong> <strong>the</strong>se tools to reliably diagnose infection, and <strong>the</strong> resulting clinician<br />

disparity in practice, recently led <strong>the</strong> Musculoskeletal Infection Society (MSIS) to<br />

publish a consensus definition <strong>of</strong> PJI, utilizing a combination <strong>of</strong> clinical data and six<br />

<strong>of</strong> <strong>the</strong> above tests.<br />

Methods: We assessed <strong>the</strong> ability <strong>of</strong> alpha-defensin to distinguish pros<strong>the</strong>tic joint<br />

infection from aseptic inflammation utilizing a series <strong>of</strong> well-characterized samples<br />

that were clearly defined by <strong>the</strong> MSIS criteria utilizing an alpha-defensin ELISA<br />

(Hycult) modified for use with synovial fluid. The study included 23 aseptic samples<br />

and 22 septic samples that were provided by <strong>the</strong> Rothman Institute. Receiver<br />

Operating Characteristics (ROC) analysis was conducted to select <strong>the</strong> optimal<br />

cut<strong>of</strong>f for <strong>the</strong> assay and its performance was established verses <strong>the</strong> MSIS criteria.<br />

Additionally, <strong>the</strong> performance <strong>of</strong> each <strong>of</strong> <strong>the</strong> individual methods utilized in <strong>the</strong> MSIS<br />

criteria was evaluated utilizing <strong>the</strong> recommended criteria.<br />

Results: A total <strong>of</strong> 45 well-defined samples were used to establish <strong>the</strong> optimal cut<strong>of</strong>f<br />

(7.7μg/mL) for <strong>the</strong> alpha-defensins using a ROC analysis that yielded an area under <strong>the</strong><br />

curve (AUC) <strong>of</strong> 1.0. The sensitivity (and 95% confidence interval) for alpha-defensin,<br />

ESR, CRP, WBC count, PMN% and culture were 100% (84.6-100%), 95.5% (77.2-<br />

99.9%), 95.5% (77.2-99.9%), 95.5% (77.2-99.9%), 95.5% (77.2-99.9%) and 90.9%<br />

(70.8-98.9%) respectively. The specificity performances were 100% (85.2-100.0),<br />

78.3% (56.3-92.5%), 87.0% (66.4-97.2%), 95.7% (78.1-99.9%), 95.7% (78.1-99.9%)<br />

and 95.7% (78.1-99.9%) respectively. There was significant separation between <strong>the</strong><br />

positive and negative populations for alpha defensin where <strong>the</strong> concentration <strong>of</strong> <strong>the</strong><br />

lowest positive sample was 2.44 fold higher than <strong>the</strong> highest negative sample.<br />

Conclusion: The measurement <strong>of</strong> alpha-defensin levels provides a highly sensitive<br />

and specific method to aid <strong>the</strong> diagnosis <strong>of</strong> PJI with improved performance compared<br />

to <strong>the</strong> traditional methods utilized for <strong>the</strong> analysis <strong>of</strong> synovial fluid.<br />

B-171<br />

Performance characteristics <strong>of</strong> The NGAL Test using <strong>the</strong> Roche<br />

cobas c501 analyzer<br />

S. L. La’ulu 1 , B. B. Suh-Lailam 2 , K. W. Davis 3 , A. E. Tebo 2 , J. A. Straseski 2 .<br />

1<br />

ARUP Institute for Clinical and Experimental Pathology, Salt Lake City,<br />

UT, 2 Department <strong>of</strong> Pathology, University <strong>of</strong> Utah, Salt Lake City, UT,<br />

3<br />

ARUP Laboratories, Salt Lake City, UT<br />

Background: Neutrophil gelatinase-associated lipocalin (NGAL) is a biomarker that<br />

may aid in diagnosis <strong>of</strong> acute kidney injury and shows promise as a biomarker for<br />

lupus nephritis. The objective <strong>of</strong> this study was to evaluate <strong>the</strong> analytical performance<br />

<strong>of</strong> The NGAL Test (BioPorto Diagnostics) clinical chemistry application using <strong>the</strong><br />

Roche cobas c501.<br />

Methods: Imprecision was tested using manufacturer’s quality control material, 3<br />

serum pools, and 2 urine pools. Two runs <strong>of</strong> duplicate testing were conducted daily<br />

for 5 days. Interference studies and limit <strong>of</strong> detection were performed for both serum<br />

and urine matrices. Dilution linearity was assessed using manufacturer’s high and<br />

blank calibrators. Method comparison testing was performed using <strong>the</strong> NGAL ELISA<br />

kit as <strong>the</strong> comparator method. Samples used for testing were paired urine and serum<br />

specimens from patients suspected <strong>of</strong> systemic lupus ery<strong>the</strong>matosus.<br />

Results: Imprecision studies had total CV’s ≤ 5.2%. Hemoglobin concentrations<br />

up to 1335 mg/dL, bilirubin concentrations up to 7.25 mg/dL, and triglyceride<br />

concentrations (serum only) up to 2350 mg/dL had no effect on results within <strong>the</strong><br />

precision <strong>of</strong> <strong>the</strong> assay for both serum and urine samples. The limit <strong>of</strong> detection was<br />

10.7 ng/mL for serum and 4.6 ng/mL for urine. The assay was linear over a measured<br />

range <strong>of</strong> 2.3 to 4934 ng/mL with maximum deviations from target recovery ≤ 8.4%<br />

and slope <strong>of</strong> 1.02. Method comparison <strong>of</strong> <strong>the</strong> c501 to <strong>the</strong> ELISA by Deming regression<br />

and Bland-Altman plots are summarized (Table 1).<br />

Conclusions: The NGAL Test, performed with <strong>the</strong> Roche c501, had favorable<br />

precision and linearity. No interferences were observed for hemolysis, icterus, or<br />

lipemia. A negative bias was observed between <strong>the</strong> 2 methodologies with <strong>the</strong> bias<br />

being more prominent in urine samples. Overall, The NGAL Test performed well<br />

on <strong>the</strong> Roche c501 and provides an alternative to <strong>the</strong> laborious ELISA method.<br />

Sample Type N Equation r Bias<br />

Serum 110 c501 = 0.89 x ELISA + 5.94 0.682 -33.6<br />

Urine 109 c501 = 0.75 x ELISA - 27.16 0.745 -107.8<br />

B-172<br />

Development and evaluation <strong>of</strong> <strong>the</strong> performance characteristics <strong>of</strong> a<br />

new micr<strong>of</strong>luidic immunoassay for Haptoglobin on FRENDTM System<br />

S. Lee, E. Choi, C. Lee, J. K. Chang, S. Han. NanoEnTek, Seoul, Korea,<br />

Republic <strong>of</strong><br />

Background: The FREND TM System is a portable, automated FREND TM cartridge<br />

reader which is based on quantitative immunoassay technology capable <strong>of</strong> quantifying<br />

single or multiple analytes in 6 minutes by measuring laser-induced fluorescence in<br />

a single-use disposable reagent cartridge. Haptoglobin (HP) is an acute phase protein<br />

whose serum concentration rises significantly during acute inflammation due to<br />

causes including surgery, myocardial infarction, infections and tumors.<br />

Objective: The objective performance <strong>of</strong> this study was to evaluate a Haptoglobin<br />

immunoassay on a micro-fluidic platform (FREND TM cartridge-system).<br />

Method: Human serum samples were diluted <strong>of</strong>f-line with provided kit 10,000<br />

fold prior to analysis. Serum HP concentration was determined by immuno-<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A221


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Proteins/Enzymes<br />

fluorescence assay <strong>of</strong> HP on FREND TM system. The assay was standardized to <strong>the</strong><br />

IFCC International Reference Preparation CRM470 (RPPHS) and <strong>the</strong> result was<br />

converted to mg/dL with consideration <strong>of</strong> dilution fold. We studied <strong>the</strong> precision and<br />

linearity <strong>of</strong> <strong>the</strong> FREND TM Haptoglobin assay (NanoEnTek, South Korea), compared<br />

it with ano<strong>the</strong>r test. Limit <strong>of</strong> detection establishment and interference testing were<br />

also performed. Three samples were measured with 4 replicates and 5 runs for <strong>the</strong><br />

precision test. The linearity range experiment was performed using 7 equally spaced<br />

concentrations including blank was prepared by Clinical and Laboratory Standards<br />

Institute EP-6 dilution methods. Thirty eight samples were tested for comparing <strong>the</strong><br />

NanoEnTek’s assay with <strong>the</strong> Cobas Integra 800 Haptoglobin assay (Roche, Swiss).<br />

Limit <strong>of</strong> detection was established by 48 measurements <strong>of</strong> both blank and low level<br />

samples (CLSI EP-17 guideline) and three endogenous interferents were tested as per<br />

CLSI guideline EP-7.<br />

Results: The FREND TM - HP assay demonstrated acceptable imprecision <strong>of</strong> %CV<br />

(


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-175<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Cardiac Markers<br />

Determination <strong>of</strong> Cardiac Troponin with a Single-Molecule High-<br />

Sensitivity Assay and Outcomes in Patients with Stable Coronary<br />

Artery Disease: Analysis from PROVE IT-TIMI 22<br />

P. Jarolim, D. A. Morrow, R. G. O’Malley, M. P. Bonaca, B. M. Scirica,<br />

S. A. Murphy, M. J. Conrad, C. P. Cannon, E. Braunwald, M. S. Sabatine.<br />

Brigham and Women’s Hospital, Harvard Medical School, Boston, MA<br />

Background: Cardiac troponin (cTn), an established biomarker in acute coronary<br />

syndromes (ACS), is also an emerging risk predictor in patients with stable ischemic<br />

heart disease (SIHD). We assessed <strong>the</strong> prognostic performance <strong>of</strong> cTn and <strong>the</strong><br />

interaction with intensive vs. moderate statin <strong>the</strong>rapy in a large cohort <strong>of</strong> wellcharacterized<br />

patients with SIHD using an investigational high-sensitivity cTn assay.<br />

Methods: We measured cTnI using <strong>the</strong> Erenna analyzer (Singulex, 99th percentile<br />

9 pg/mL,‘S-TnI’) in 3,209 patients who had been stable without recurrent events<br />

through 30 days after an ACS and had been randomized to intensive or moderate<br />

statin <strong>the</strong>rapy in PROVE IT-TIMI 22. Based on prior work, our primary event <strong>of</strong><br />

interest was cardiovascular death (CVD) or heart failure (HF). Patients were followed<br />

for an average <strong>of</strong> 2 years.<br />

Results: All 3,209 patients had detectable S-TnI and 970 (30.2%) patients had S-TnI<br />

above 99th percentile. Patients with elevated S-TnI were at higher risk <strong>of</strong> CVD/HF<br />

(6.2% v. 2.9%, p50 ng/L) and<br />

72.5% (at HS-cTnT>100 ng/L) respectively. At HS-cTnT>100 ng/L, 280/1555(18%)<br />

and 1045/1555(67.2%) <strong>of</strong> <strong>the</strong> cases had normal CKmb and CKmbF respectively.<br />

Analysis <strong>of</strong> result changes over consecutive time points revealed 56% agreements in<br />

<strong>the</strong> direction <strong>of</strong> change between HS-cTnT and CKmb, and only 37% with CKmbF.<br />

Conclusion: The high number <strong>of</strong> simultaneous requests for HS-cTnT and CKmb<br />

reflects a lack <strong>of</strong> confidence in, and/or understanding <strong>of</strong>, <strong>the</strong> role <strong>of</strong> HS-cTnT in<br />

<strong>the</strong> investigation <strong>of</strong> acute coronary syndrome. The low concordance rate in patient<br />

classification between HS-cTnT and CKmb/CKmbF suggests that <strong>the</strong> two cardiac<br />

biomarkers have very different diagnostic performance characteristics, and adding<br />

CKmb/CKmbF is not likely to provide fur<strong>the</strong>r clarification in <strong>the</strong> interpretation <strong>of</strong><br />

HS-cTnT.<br />

Table 1. Breakdown <strong>of</strong> CKmb and different levels <strong>of</strong> HS-cTnT<br />

HS-cTnT, ng/L CKmb, ug/L CKmbF, ug/IU Total<br />

≤6 >6 ≤0.05 >0.05<br />

≤14 881 256 1129 8 1137<br />

>14 986 1816 2263 539 2802<br />

Total 1867 2072 3392 547 3939<br />

≤50 1415 572 1969 18 1987<br />

>50 452 1500 1423 529 1952<br />

Total 1867 2072 3392 547 3939<br />

≤100 1587 797 2347 37 2384<br />

>100 280 1275 1045 510 1555<br />

Total 1867 2072 3392 547 3939<br />

B-177<br />

Measurement <strong>of</strong> Galectin-3 levels with <strong>the</strong> Architect assay in patients<br />

with systolic heart failure.<br />

d. GRUSON, A. Pouleur, T. Lepoutre, S. Ahn, M. Rousseau. Cliniques<br />

Universitaires St Luc, Bruxelles, Belgium<br />

Background: Galectins are carbohydrate binding proteins involved in several<br />

biological functions such as intracellular signalling, cell to cell interaction and<br />

exchanges between cells and <strong>the</strong> extracellular matrix. Galectin-3 (Gal-3) is upregulated<br />

in hypertrophied hearts and is suggested as an important mediator for <strong>the</strong><br />

development <strong>of</strong> fibrosis and cardiac remodeling. The evaluation <strong>of</strong> <strong>the</strong> circulating<br />

Gal-3 levels through enzyme linked immunosorbent (ELISA) has demonstrated its<br />

potential reliability for <strong>the</strong> risk stratification and management <strong>of</strong> HF patients. The<br />

emergence <strong>of</strong> automated assay for Gal-3 measurement might facilitate its accessibility<br />

for physicians. The aim <strong>of</strong> our study was to determine Gal-3 levels with <strong>the</strong> automated<br />

Architect immunoassay in patients with systolic HF as well as <strong>the</strong>ir relations with<br />

established biomarkers <strong>of</strong> HF severity.<br />

Methods: Gal-3 levels were measured in 100 patients with systolic HF (females<br />

n=23; males n=77; NYHA II-IV; mean age: 68 years; mean left ventricular ejection<br />

fraction (EF): 23 %; etiology: ischemic n=65, non ischemic n=35) with <strong>the</strong> Architect<br />

automated assay (Abbott diagnostics) as well as with <strong>the</strong> reference ELISA assay (BG<br />

Medicine). Circulating levels <strong>of</strong> B-type Natriuretic Peptide (BNP) and its precursor,<br />

<strong>the</strong> proBNP 1-108 (proBNP), were also determined using automated immunoassays.<br />

Results: Median <strong>of</strong> Gal-3 was 22.7 ng/ml with <strong>the</strong> Architect assay and 20.2 ng/mL with<br />

<strong>the</strong> ELISA assay. Gal-3 levels measured with <strong>the</strong> Architect assay were significantly<br />

correlated with to those measured with <strong>the</strong> ELISA assay, with a concordance<br />

correlation coefficient <strong>of</strong> 0.86, a pearson coefficient (precision) <strong>of</strong> 0.92 and Cb bias<br />

coefficient factor (accuracy) <strong>of</strong> 0.93. Levels <strong>of</strong> Gal-3 measured with <strong>the</strong> Architect<br />

assay were related to NYHA functional classes (p


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

Conclusions: Our results show that Gal-3 levels measured with <strong>the</strong> recently developed<br />

Architect automated immunoassay are related to <strong>the</strong> severity <strong>of</strong> systolic heart failure<br />

and are associated to established biomarkers <strong>of</strong> HF worsening. Measurement <strong>of</strong> Gal-3<br />

with such automated assay might <strong>the</strong>refore be relevant for <strong>the</strong> risk stratification and<br />

treatment selection <strong>of</strong> patients with systolic HF.<br />

B-178<br />

Performance <strong>of</strong> a high sensitivity cardiac troponin I assay in patients<br />

with non-ST elevation acute coronary syndrome<br />

P. Jarolim, M. P. Bonaca, M. J. Conrad, S. A. Murphy, D. A. Morrow.<br />

Brigham and Women’s Hospital, Harvard Medical School, Boston, MA<br />

Background: Newer high-sensitivity assays for cardiac troponin (hsTn) enable more<br />

precise measurement <strong>of</strong> very low troponin concentrations and improved diagnostic<br />

accuracy. However, <strong>the</strong>ir prognostic value, particularly at low concentrations, is<br />

less well defined. We asked whe<strong>the</strong>r newly detectable troponin concentrations are<br />

associated with increased risk <strong>of</strong> recurrent cardiovascular events.<br />

Methods: We compared <strong>the</strong> prognostic performance <strong>of</strong> a new hsTnI assay (Abbott<br />

ARCHITECT) with performance <strong>of</strong> <strong>the</strong> commercial 4th generation troponin T assay<br />

(TnT, Roche) in 4,695 patients with non-ST elevation acute coronary syndromes<br />

(NSTE-ACS) from <strong>the</strong> TIMI Clinical Trials Database. The primary endpoint was<br />

cardiovascular death (CVD) or new or recurrent myocardial infarction (MI) at 30<br />

days. Baseline troponin was categorized at <strong>the</strong> published 99th percentile reference<br />

limit (26 pg/mL for hsTnI; 10 pg/mL for TnT), and at gender-specific 99th percentiles<br />

for hsTnI.<br />

Results: 100% <strong>of</strong> patients had detectable hsTnI concentrations compared with 94.5%<br />

patients using TnT. Patients with hsTnI ≥99th percentile (85%) had a 3.7-fold higher<br />

adjusted risk <strong>of</strong> cardovascular death or MI at 30 days relative to patients with hsTnI<br />

0.03 ug/L ≥ 14 ng/L ≥ 26 ng/L<br />

Sensitivity(95%CI)<br />

89% (52-100) 89% (52-100) 89% (52-100)<br />

Specificity(95%CI)<br />

86% (79-91) 73% (65-80) 89% (83-94)<br />

Likelihood ratio (+)<br />

6.18<br />

3.27<br />

8.30<br />

Likelihood ratio (-)<br />

0.13<br />

0.15<br />

0.12<br />

AUC (95%CI) 0.91 (0.77-1.00) 0.94 (0.88-1.00) 0.96 (0.91-1.00)<br />

90 min >99 th >0.03 ug/L ≥ 14 ng/L ≥ 26 ng/L<br />

Sensitivity(95%CI)<br />

100% (66-100) 100% (66-100) 100% (66-100)<br />

Specificity(95%CI)<br />

78% (70-84) 73% (65-80) 89% (83-94)<br />

Likelihood ratio (+)<br />

4.48<br />

3.66<br />

9.27<br />

Likelihood ratio (-)<br />

0.00<br />

0.00<br />

0.00<br />

AUC (95%CI) 0.99 (0.97-1.00) 0.98 (0.95-1.00) 0.98 (0.95-1.00)<br />

Delta > 0.02 ug/L change > 7 ng/L > 15 ng/L<br />

change change<br />

Sensitivity(95%CI)<br />

89% (52-100) 89% (52-100) 89% (52-100)<br />

Specificity(95%CI)<br />

92% (86-96) 96% (91-98) 95% (90-98)<br />

Likelihood ratio (+)<br />

11.15<br />

20.59 17.78<br />

Likelihood ratio (-)<br />

0.12<br />

0.12<br />

0.12<br />

AUC (95%CI) 0.97 (0.92-1.00) 0.89 (0.68-1.00) 0.97 (0.93-1.00)<br />

CONCLUSIONS: Larger studies assessing <strong>the</strong> earlier timeframe performance vs. <strong>the</strong><br />

recommended 3-6 hours are required.<br />

B-180<br />

Evaluation <strong>of</strong> <strong>the</strong> method <strong>of</strong> measurement <strong>of</strong> platelet catecholamines in<br />

patients with OSA with and without treatment for one year <strong>of</strong> CPAP.<br />

M. C. fFeres, L. Mello-Fujita, C. F. Rizzi, F. D. Cintra, S. Tufik, D. Poyares.<br />

Universidade Federal de Sao Paulo- Brasil- UNIFESP, Sao Paulo, Brazil<br />

Background: Many published studies showed that <strong>the</strong> assay method <strong>of</strong> platelet<br />

catecholamines are more stable because <strong>the</strong>y do not suffer interference from abrupt<br />

changes. The platelets accumulate catecholamine concentration dependent <strong>of</strong><br />

plasmatic and <strong>the</strong>re is evidence to be more efficient evaluation <strong>of</strong> <strong>the</strong> sympa<strong>the</strong>tic<br />

nervous system (SNS) as compared with methods <strong>of</strong> evaluation plasmatic and urinary<br />

catecholamines. Thus we use this methodology to evaluate <strong>the</strong> SNS in obstructive<br />

A224 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

sleep apnea (OSA) with or without arterial hypertension (HYP) and in this study we<br />

tested <strong>the</strong> performance <strong>of</strong> platelet catecholamines method in patients with OSA before<br />

and after one year <strong>of</strong> effective continuos positive air pression (CPAP) treatment.<br />

Methods: One-hundred and fifty-four OSA patients were selected from <strong>the</strong> clinic<br />

<strong>of</strong> Sleep Institute <strong>of</strong> São Paulo city, Brazil. Patients were randomly allocated into 4<br />

groups: G1 (OSA + HYP, n=64), G2 (OSA, n=50), G3 (HYP, n=16) and G4 (non-OSA<br />

controls, n= 24). Nine patients were treated with CPAP in one-year period. These<br />

patients underwent to 24-h urine (U), plasmatic (PL) and platelets (PT) catecholamines<br />

(adrenaline-ADR and noradrenalin-NOR) dosages (radioimmunoassay method). The<br />

descriptive analysis was based on <strong>the</strong> comparison between <strong>the</strong> four groups performed<br />

by ANCOVA with age, abdominal circumference and BMI as covariates. Spearman<br />

correlation test was used. We also tested whe<strong>the</strong>r <strong>the</strong> standardized cut<strong>of</strong>f values <strong>of</strong><br />

<strong>the</strong> tests were associated with clinical diagnoses <strong>of</strong> HYP, moderate or severe OSA<br />

(with or without HYP) using ROC curves. Based on <strong>the</strong> new cut<strong>of</strong>f points found for<br />

each diagnostic category, binary logistic regressions were carried out to test <strong>the</strong>se<br />

new measurements. To compare patients before and after treatment, Wilcoxon test<br />

was used.<br />

Results: Urinary, plasma and platelet catecholamines concentrations were higher<br />

in OSA+HYP, OSA and HYP groups compared with controls but presented high<br />

variability. Significant correlation (r=0.64 p=0.02) was found between urinary<br />

(UAD) and platelet adrenaline (PTAD) and between urinary (UNA) and platelet<br />

noradrenaline (PTNA) (r = 0.60, p=0.01). A Logistic regression model, controlled<br />

for age and BMI, showed that UAD (OR=1.55[1.35-1.85]) and UNA (OR=1.00[1.00-<br />

1.04]) as risk factors for OSA+HYP group; Higher levels <strong>of</strong> UAD (OR=1.63[1.43-<br />

1.92]) and UNA (OR=1.00[1.03-1.07]) were risk factors for HYP and Higher levels<br />

<strong>of</strong> UNA (OR=1.00[1.01-1.04]). After 1-year CPAP treatment, a smaller sample (N=9)<br />

showed smaller levels <strong>of</strong> UNA (p=0.04) and PTNA (p=0.05).<br />

Conclusion: In conclusion, we found that urinary noradrenaline levels were able<br />

to detect <strong>the</strong> condition <strong>of</strong> hypertension with and without OSA, whereas platelet<br />

noradrenaline was superior in detecting OSA without comorbidity. This finding is<br />

consistent with our hypo<strong>the</strong>sis that in OSA, nocturnal sympa<strong>the</strong>tic activation may<br />

be reliably detected by a technique that increases catecholamines availability,<br />

such as platelet dosage. Despite being small (n) data showed a decrease in urinary<br />

norepinephrine and platelet noradrenaline after effective treatment with CPAP<br />

B-182<br />

Clinical Diagnostic and Prognostic Results for <strong>the</strong> ARCHITECT®<br />

STAT High Sensitive Immunoassay for Troponin-I<br />

K. B. Grasso 1 , K. A. Galvani 1 , S. Du 1 , J. L. Rogers 1 , J. L. Yen 1 , J. Huang 1 , F.<br />

S. Apple 2 , W. J. Castellani 3 , M. T. Petruso 4 , D. Wiesner 1 , R. F. Workman 1 .<br />

1<br />

Abbott Laboratories, Abbott Park, IL, 2 Hennepin County Medical Center<br />

and Minneapolis Medical Research Foundation, Minneapolis, MN,<br />

3<br />

Hershey Medical Center, Hershey, PA, 4 Nationwide Laboratory Services,<br />

Fort Lauderdale, FL<br />

Background: The ARCHITECT STAT High Sensitive Troponin-I assay* is<br />

a chemiluminescent microparticle immunoassay (CMIA) for <strong>the</strong> quantitative<br />

determination <strong>of</strong> cardiac troponin I (cTnI) in human plasma and serum. The cTnI<br />

values are used as an aid in <strong>the</strong> diagnosis <strong>of</strong> myocardial infarction (MI) and to aid in<br />

<strong>the</strong> assessment <strong>of</strong> 30-day and 90-day prognosis relative to all-cause mortality (ACM)<br />

and major adverse cardiac events (MACE) consisting <strong>of</strong> myocardial infarction,<br />

revascularization, and cardiac death in patients who present with symptoms suggestive<br />

<strong>of</strong> acute coronary syndrome (ACS). The purpose <strong>of</strong> <strong>the</strong> study was to evaluate withinlaboratory<br />

imprecision, diagnostic and prognostic performance.<br />

Methods: Within-laboratory imprecision (%CV, five day precision across three sites<br />

using three reagent lots) was assessed using 9 panel/control members with cTnI<br />

target concentrations ranging from 10 to 45,000 pg/mL (ng/L). The receiver operator<br />

characteristic area under <strong>the</strong> curve (AUC) was utilized to evaluate <strong>the</strong> combined<br />

clinical utility <strong>of</strong> sensitivity and specificity for an intended use population (n=1,101<br />

subjects, including 130 adjudicated MIs per universal MI guidelines; prevalence <strong>of</strong> MI<br />

11.8%). Three serial collections (0-2, 2-4, and 4-9 hours post Emergency Department<br />

presentation) were made in serum separator, lithium heparin plasma separator, and K 2<br />

EDTA tubes and analyzed. The 99 th percentile cut<strong>of</strong>fs previously determined and used<br />

in this study were: overall, 26.2 pg/mL; gender specific, 15.6 pg/mL (female), 34.2 pg/<br />

mL (male). The sensitivity, specificity, positive predictive value (PPV), and negative<br />

predictive value (NPV) were calculated. The absolute percent change (|δ|) in cTnI<br />

concentration was evaluated at various cutpoints (20%-250%). Kaplan-Meier and<br />

Cox regression analyses were performed between <strong>the</strong> elevated cTnI and non-elevated<br />

cTnI groups (defined by 99 th percentile) at 30-day and 90-day follow-up timepoints <strong>of</strong><br />

MACE and ACM using overall and gender specific cut<strong>of</strong>fs.<br />

Results: Imprecision (%CV) ranged from 2.7% (for <strong>the</strong> panel targeted to 45,000<br />

pg/mL) to 5.6% (for <strong>the</strong> panel targeted to 10 pg/mL). The AUC results [95%<br />

confidence interval] ranged from 0.9197 [0.8914, 0.9480] to 0.9503 [0.9149, 0.9857].<br />

The sensitivity, specificity, PPV and NPV with overall and gender specific 99 th<br />

percentile cut<strong>of</strong>fs, respectively, ranged, for sensitivity: 84.44% to 94.95%, 81.05%<br />

to 93.94%; for specificity: 80.72% to 86.35%, 79.98% to 85.85%; for PPV: 35.05%<br />

to 38.78%, 32.38% to 38.38%; for NPV: 98.08% to 99.25%, 97.53% to 99.24%. A<br />

|δ| cut<strong>of</strong>f <strong>of</strong> 250% with at least one timepoint greater than <strong>the</strong> 99 th percentile resulted<br />

in a specificity up to 98.83%. All log-rank p-values were significant at 0.05 level<br />

for each tube type at each follow-up time point between elevated and non-elevated<br />

cTnI groups. The unadjusted hazard ratios (Cox regression) with overall and gender<br />

specific 99 th percentile cut<strong>of</strong>fs, respectively, ranged, for 30 day: 2.95 to 3.54 and 3.28<br />

to 3.53; for 90 day: 3.55 to 3.68 and 3.91 to 4.17; for <strong>the</strong> elevated relative to nonelevated<br />

cTnI group.<br />

Conclusion: The results demonstrate <strong>the</strong> ARCHITECT STAT High Sensitive<br />

Troponin-I assay <strong>of</strong>fers precise results as a diagnostic tool for <strong>the</strong> detection <strong>of</strong> cTnI,<br />

and as an aid in <strong>the</strong> assessment <strong>of</strong> 30-day and 90-day prognosis.<br />

* under development in U.S.<br />

The study was funded by Abbott Laboratories.<br />

B-183<br />

Determination <strong>of</strong> a 99th Percentile for <strong>the</strong> ARCHITECT® STAT High<br />

Sensitive Troponin-I Immunoassay using a Robust Statistical Method<br />

J. L. Rogers, S. Du, J. L. Yen, D. Wiesner, R. F. Workman, J. C. Badciong.<br />

Abbott Laboratories, Abbott Park, IL<br />

Background: Clinical and Laboratory Standards Institute (CLSI) document C28-<br />

A3c focuses on three different statistical methods for calculating a reference interval.<br />

When <strong>the</strong> data are not normally distributed or cannot easily be made to be normally<br />

distributed, a nonparametric method or a robust method should be used. The guideline<br />

promotes <strong>the</strong> use <strong>of</strong> <strong>the</strong> nonparametric method due to its simple and straightforward<br />

calculations, while recommending <strong>the</strong> more complex robust method for situations<br />

where <strong>the</strong> larger sample size requirement <strong>of</strong> <strong>the</strong> nonparametric method cannot be met.<br />

Regardless <strong>of</strong> sample size, <strong>the</strong> robust method exhibits some desirable characteristics<br />

relative to <strong>the</strong> nonparametric method. As s<strong>of</strong>tware capable <strong>of</strong> performing <strong>the</strong> robust<br />

method becomes more readily available to clinicians, <strong>the</strong> method could become more<br />

widely used.<br />

Methods: A reference range study was conducted based on guidance from CLSI<br />

document C28-A3c. Specimens were collected in 3 tube types (serum separator,<br />

lithium heparin separator, K 2<br />

EDTA) from 1,531 apparently healthy individuals in<br />

a US population with normal levels <strong>of</strong> BNP, HbA1c, and estimated GFR values.<br />

Each specimen was evaluated using <strong>the</strong> ARCHITECT STAT High Sensitive<br />

Troponin-I assay * on two ARCHITECT instrument systems (i 2000 SR<br />

and i 1000 ). SR<br />

The 4,593 specimen results were used to establish <strong>the</strong> appropriate 99th percentiles<br />

and <strong>the</strong>ir respective 90% confidence intervals (CI). The robust and nonparametric<br />

methods were used with Dixon and Tukey outlier methods being applied to <strong>the</strong> data.<br />

Partitioning analysis was performed to determine if separate 99th percentiles were<br />

necessary for subgroups.<br />

Results: The overall robust and nonparametric 99th percentiles for <strong>the</strong> ARCHITECT<br />

i 2000 SR<br />

were 26.2 pg/mL (ng/L) (with 90% CI <strong>of</strong> 23.3 - 29.7) and 39.1 pg/mL (with<br />

90% CI <strong>of</strong> 33.1 - 47.9), respectively. The overall robust and nonparametric 99th<br />

percentiles for <strong>the</strong> ARCHITECT i 1000 SR<br />

were 26.3 pg/mL (with 90% CI <strong>of</strong> 23.0 -<br />

29.2) and 37.0 pg/mL (with 90% CI <strong>of</strong> 32.1 - 44.5), respectively. The gender-specific<br />

robust and nonparametric 99th percentiles for <strong>the</strong> ARCHITECT i 2000 SR<br />

were 34.2<br />

pg/mL (with 90% CI <strong>of</strong> 28.9 - 39.2) and 54.4 pg/mL (with 90% CI <strong>of</strong> 44.1 - 69.7),<br />

respectively, for males and 15.6 pg/mL (with 90% CI <strong>of</strong> 13.8 - 17.5) and 26.0 pg/<br />

mL (with 90% CI <strong>of</strong> 21.0 - 32.8), respectively for females. Partitioning analysis was<br />

performed and concluded that it is not necessary to establish different 99th percentiles<br />

between <strong>the</strong> ARCHITECT i 2000 SR<br />

and ARCHITECT i 1000 SR<br />

systems, and it is not<br />

necessary to establish different 99th percentiles for <strong>the</strong> individual tube types (serum<br />

separator, lithium heparin separator, and K 2<br />

EDTA).<br />

Conclusion: The robust method is a valid method for determining reference intervals.<br />

Compared to <strong>the</strong> nonparametric method, it allows for smaller sample sizes, provides<br />

smaller confidence intervals around reference values, and provides stable estimates <strong>of</strong><br />

<strong>the</strong> reference values.<br />

*<br />

under development in U.S.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A225


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

B-184<br />

Prognostic Utility <strong>of</strong> Combination <strong>of</strong> High-Sensitivity Troponin T and<br />

N-Terminal Pro-B-Type Natriuretic Peptide in Patients with Unstable<br />

Angina and Non-ST-Segment Elevation Myocardial Infarction<br />

F. Kitagawa, A. Kuno, J. Takeda, M. Saito, T. Hashimoto, S. Matsui, T.<br />

Ishikawa, H. Naruse, Y. Ozaki, J. Ishii. Fujita Health University, Toyoake,<br />

Japan<br />

We prospectively evaluated <strong>the</strong> prognostic value <strong>of</strong> a combined use <strong>of</strong> high-sensitivity<br />

troponin T (hsTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) in<br />

patients with unstable angina and non-ST-segment elevation myocardial infarction<br />

(UA/NSTEMI). We measured serum concentrations <strong>of</strong> hsTnT, heart-type fatty-acid<br />

binding protein (H-FABP) and NT-proBNP in 248 patients admitted to our coronary<br />

care unit for UA/NSTEMI within 6 hours after <strong>the</strong> onset <strong>of</strong> chest symptom, and<br />

followed for 12months after admission. Result: There was a higher positive rate for<br />

hsTnT (>14 pg/mL) than that for H-FABP (≥6.2 ng/mL) in 69 NSTEMI patients (82.9%<br />

and 54.3%, P =0.0005). During a 12-month follow-up period, <strong>the</strong>re were 20 (8.1%)<br />

cardiac events (4 cardiac deaths, 6 readmissions for acute coronary syndrome and<br />

10 readmissions for worsening heart failure). In a stepwise Cox proportional hazard<br />

analysis including 15 clinical and biochemical variables, both hsTnT (relative risk per<br />

10-fold increment = 1.98, P = 0.04) and NT-proBNP (4.00 per 10-fold increment, P =<br />

0.001), but not H-FABP, were independently associated with cardiac events. HsTnT<br />

> median value <strong>of</strong> 13 pg/mL and/or NT-proBNP > median value <strong>of</strong> 192 pg/mL were<br />

associated with increased cardiac mortality and morbidity rates (Table). Conclusions:<br />

HsTnT may have a higher sensitivity than H-FABP for diagnosing NSEMI within 6<br />

hours after <strong>the</strong> onset. The combination <strong>of</strong> hsTnT and NT-proBNP measurements may<br />

effectively stratify patients with UA/NSTEMI with 6 hours after <strong>the</strong> onset.<br />

Cardiac mortality and morbidity rates according to hsTnT and/or NT-proBNP<br />

- - + +<br />

HsTnT >13pg/mL<br />

- + - + P value<br />

NT-proBNP >192pg/mL<br />

n = 86 n = 42 n = 38 n = 82<br />

Cardiac mortality rate (%) 0 0 0 4.9 0.02<br />

Cardiac event rate (%) 0 0 7.9 20.7


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Conclusion: We conclude that hscTnT assay had increased sensitivity to detect small<br />

amounts <strong>of</strong> circulating cTnT in a substantial fraction <strong>of</strong> patients with exercise-induced<br />

cardiac ischemia. Fur<strong>the</strong>r prospective studies using fresh patient samples are needed<br />

to determine whe<strong>the</strong>r hscTnT can be a useful diagnostic and/or prognostic biomarker<br />

for cardiac ischemia.<br />

B-190<br />

Survey <strong>of</strong> cardiac troponin concentrations in a hospital and community<br />

environment<br />

G. Koerbin, J. M. Potter, J. Kerrigan, E. Southcott, A. Simpson, P. E.<br />

Hickman. ACT Pathology, Canberra, Australia<br />

B-189<br />

Novel Insights and Reference Intervals <strong>of</strong> Cardiac Troponin I in a<br />

Healthy Neonatal and Pediatric Population<br />

S. R. Delaney 1 , J. A. Simpson 2 , M. Allwood 2 , A. H. Cohen 3 , D. A.<br />

Colantonio 1 , K. Adeli 1 . 1 Hospital for Sick Children, Toronto, ON, Canada,<br />

2<br />

University <strong>of</strong> Guelph, Guelph, ON, Canada, 3 University <strong>of</strong> Toronto,<br />

Toronto, ON, Canada<br />

Objectives: Cardiac Troponin I (cTnI) is routinely used to access cardiac injury, with<br />

<strong>the</strong> recommended use <strong>of</strong> a decision limit at <strong>the</strong> 99th percentile. As <strong>the</strong> sensitivity<br />

<strong>of</strong> cTnI assays increase, interpretation <strong>of</strong> marginally elevated levels becomes<br />

increasingly difficult. Establishing accurate baseline cTnI levels in a pediatric<br />

population is essential for appropriate clinical management. The aim <strong>of</strong> this study<br />

was to determine <strong>the</strong> 99th percentile using a healthy pediatric population, as well as to<br />

elucidate <strong>the</strong> forms <strong>of</strong> cTnI observed in <strong>the</strong> neonatal period.<br />

Methods: Blood samples, medical history and current health status measures were<br />

collected from 772 healthy and ethnically diverse children, ages birth to 18 years. cTnI<br />

was measured on <strong>the</strong> Abbott ARCHITECT i2000 system; <strong>the</strong> LoD was 10 ng/L. Nonparametric<br />

methods were used to establish <strong>the</strong> 99th percentile for <strong>the</strong> decision limit.<br />

Western blot analysis was performed to determine if high levels <strong>of</strong> cTnI observed in<br />

<strong>the</strong> neonatal period was intact cTnI, an interferant, a cross reaction against skeletal<br />

troponin, or cTnI complexes.<br />

Results: Three age partitions were determined and statistically verified; no difference<br />

in cTnI concentration between sexes was observed (Figure 1). The 99th percentile<br />

decision limits are: 968 ng/L (birth - 15 days); 59 (15 days - 3 months); 21 ng/L (3<br />

months - 19 years). Western blot analysis demonstrated that intact cTnI was present<br />

in neonatal samples; <strong>the</strong> presence <strong>of</strong> o<strong>the</strong>r forms <strong>of</strong> troponin were also determined.<br />

Conclusions: This study is <strong>the</strong> first to demonstrate cTnI trends in a healthy neonatal<br />

and pediatric population. We observed that cTnI levels are significantly higher<br />

from birth to < 15 days and gradually taper <strong>of</strong>f to adult levels after 3 months <strong>of</strong><br />

age. Biochemical explanations for high cTnI levels in <strong>the</strong> neonatal population were<br />

explored. These results have important clinical implications when assessing neonatal<br />

and pediatric patients with cardiac abnormalities.<br />

INTRODUCTION: Troponin is a core element <strong>of</strong> <strong>the</strong> diagnosis <strong>of</strong> MI. However,<br />

high-sensitivity assays have shown that most normal persons have detectable troponin<br />

present in <strong>the</strong>ir blood, indicating that troponin is not always an index <strong>of</strong> myocardial<br />

necrosis. Data is available on troponin concentrations in healthy persons, but none on<br />

troponin concentration in persons who are ill with non-cardiac illnesses.<br />

MATERIALS AND METHIODS: In an ethics approved study for a 24h period we<br />

collected all blood samples submitted to ACT Pathology from The Canberra Hospital<br />

and community collection centres and measured TnI using <strong>the</strong> pre commercial<br />

Abbott ARCHITECT STAT hs-cTnI assay and hsTnT using <strong>the</strong> Roche Elecsys<br />

e411 instrumentation. Of <strong>the</strong> 1076 patient samples (552 female, 524 male) deemed<br />

appropriate for testing, 844 (431 female, 413 male) were analysed for TnI and TnT.<br />

Of those 844, 818 hsTnI and 805 hsTnT results were obtained<br />

RESULTS: The range and median TnI concentrations were 0.6 - 2615 ng/L, 29.2<br />

ng/L ( 31 CCU patients); 1.5 - 29500 ng/L, 17.9 ng/L (39 ICU patients);


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

molecular weight and cytoplasmic location, H-FABP is released quickly into<br />

<strong>the</strong> circulation after myocardial injury. This protein is an early indicator <strong>of</strong> acute<br />

myocardial infarction in man. Cardiac Troponin I (cTnI), a late onset biomarker, is<br />

<strong>the</strong> current gold standard marker for myocardial infarction. It is released from cardiac<br />

myocytes during necrosis, causing an increase in circulating levels from 5-6 hours<br />

after <strong>the</strong> event. During release <strong>of</strong> cTnI from <strong>the</strong> sarcomere into <strong>the</strong> bloodstream,<br />

<strong>the</strong> protein undergoes proteolytic digestion; <strong>the</strong>refore antibodies developed to<br />

determine <strong>the</strong> circulating concentration <strong>of</strong> cTnI must bind to certain key epitopes.<br />

It has been reported that <strong>the</strong> assessment <strong>of</strong> H-FABP in combination with cTnI is a<br />

reliable diagnostic tool for <strong>the</strong> early diagnosis <strong>of</strong> myocardial infarction/acute coronary<br />

syndrome and also a valuable rule-out test for patients presenting at 3 to 6 hours after<br />

chest pain onset.<br />

Relevance: The aim <strong>of</strong> this study was to develop highly sensitive and specific<br />

monoclonal antibodies for H-FABP and relevant cTnI epitopes respectively. This is <strong>of</strong><br />

value for <strong>the</strong> development <strong>of</strong> immunoassays applicable to <strong>the</strong> study <strong>of</strong> <strong>the</strong>se cardiac<br />

biomarkers in clinical settings.<br />

Methodology: Sheep were immunized with <strong>the</strong> appropriate immunogen, ei<strong>the</strong>r<br />

1) recombinant HFABP produced in E.Coli, or 2) native cTnI. Lymphocytes were<br />

collected and fused with heteromyeloma cells. Supernatants from <strong>the</strong> resulting anti-<br />

HFABP hybridomas were screened for <strong>the</strong> presence <strong>of</strong> H-FABP specific antibodies<br />

using <strong>the</strong> o<strong>the</strong>r eight members <strong>of</strong> <strong>the</strong> FABP family in negative selection ELISA based<br />

assays. Supernatants from <strong>the</strong> resulting anti-cTnI hybridomas were screened for<br />

<strong>the</strong> presence <strong>of</strong> cTnI specific antibody using whole molecule, native cTnI. Positive<br />

hybridomas were cloned to produce stable monoclonal hybridomas. Antibody was<br />

extracted from supernatants via Protein A purification. In addition, epitope mapping<br />

was carried out for all cTnI purified antibodies using non-overlapping 20-mer<br />

fragments <strong>of</strong> <strong>the</strong> cTnI primary amino acid sequence to elucidate <strong>the</strong> region accessed<br />

by each clone.<br />

Results: From <strong>the</strong> monoclonal antibodies developed for <strong>the</strong> detection <strong>of</strong> H-FABP,<br />

a sandwich pair has been identified which was H-FABP specific presenting cross<br />

reactivity


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

were >0.92 from a Receiver Operating Characteristic (ROC) curve for all 3 tube types<br />

at each time point tested. The mean interference with HAMA and RF samples was<br />

-2.8% and -3.4% respectively.<br />

Conclusion: These results demonstrate that <strong>the</strong> ARCHITECT STAT High Sensitive<br />

Troponin-I assay is a precise and highly sensitive method for measuring troponin I<br />

in human serum, lithium heparin plasma or K2 EDTA plasma on a high throughput<br />

analyzer.<br />

B-194<br />

Absolute and Relative Delta Values and <strong>the</strong>ir Impact on <strong>the</strong> Diagnostic<br />

Accuracy <strong>of</strong> ARCHITECT® STAT High Sensitive Immunoassay for<br />

Troponin-I<br />

J. C. Badciong 1 , M. A. Rosales 1 , J. M. Goldberg 1 , S. Du 1 , J. L. Rogers 1 ,<br />

J. L. Yen 1 , K. Grasso 1 , D. Wiesner 1 , R. El Kouhen 1 , F. S. Apple 2 , W. J.<br />

Castellani 3 , M. Petruso 4 . 1 Abbott Laboratories, Abbott Park, IL, 2 Hennepin<br />

County Medical Center and Minneapolis Medical Research Foundation,<br />

Minneapolis, MN, 3 Hershey Medical Center, Hershey, PA, 4 Nationwide<br />

Laboratory Services, Fort Lauderdale, FL<br />

Introduction: The analytical sensitivity <strong>of</strong> <strong>the</strong> ARCHITECT STAT High Sensitive<br />

Troponin-I * assay allows reliable measurement <strong>of</strong> cardiac troponin (cTnI) in <strong>the</strong><br />

majority <strong>of</strong> healthy individuals. The current universal definition <strong>of</strong> myocardial<br />

infarction (MI) supports <strong>the</strong> use <strong>of</strong> a change in cTnI concentration (delta [δ] value),<br />

in combination with <strong>the</strong> 99th percentile value, to improve <strong>the</strong> clinical specificity<br />

<strong>of</strong> troponin assays as an aid in <strong>the</strong> diagnosis <strong>of</strong> MI. Current literature suggests <strong>the</strong><br />

optimal δ may be expressed as: percent change, absolute value <strong>of</strong> percent change,<br />

concentration change, and absolute value <strong>of</strong> concentration change, with or without<br />

consideration <strong>of</strong> 99th percentile value(s). The objective <strong>of</strong> this study was to evaluate<br />

differences in diagnostic accuracy resulting from <strong>the</strong> use <strong>of</strong> multiple methods for<br />

determining δ values for <strong>the</strong> ARCHITECT STAT High Sensitive Troponin-I assay.<br />

Methods: Our clinical study was conducted using an intended use population<br />

(n=1,101 subjects, including 130 adjudicated MIs. Three serial collections (0-2,<br />

2-4, and 4-9 hours post Emergency Department presentation) were made in serum<br />

separator, lithium heparin plasma separator, and K2 EDTA tubes. The δ value was<br />

calculated between admission draw and 2-4 hours draw (T1δ) and between admission<br />

draw and 4-9 hours draw (T2δ). Receiver operator characteristic (ROC) curves were<br />

constructed for different δ definitions: percent change = (y-x)/x*100, absolute value<br />

<strong>of</strong> percent change = abs [(y-x)/x*100], concentration change = y-x, and absolute value<br />

<strong>of</strong> concentration change = abs (y-x). Specificity was calculated at various δ values and<br />

values which resulted in a balance between specificity and sensitivity are described<br />

in <strong>the</strong> results.<br />

Results: The results from different tube types were comparable. Results from lithium<br />

heparin specimens are summarized below. For <strong>the</strong> T1δ values <strong>the</strong> area under <strong>the</strong><br />

curve (AUC) was 0.7751 and specificity was 91.18% using a 50% increase in cTnI<br />

concentration change criteria; AUC was 0.7503 and specificity was 88.46% using a<br />

50% absolute change criteria (increase or decrease); AUC was 0.8254 and specificity<br />

was 94.68% using a 12 pg/mL increase in cTnI concentration change criteria; and<br />

AUC was 0.9550 and specificity was 92.48% using a 12 pg/mL absolute change<br />

criteria (increase or decrease) to define clinical significant changes. For <strong>the</strong> T2δ<br />

values AUC was 0.8206 and specificity was 87.29% using a 50% increase in cTnI<br />

concentration change criteria; AUC was 0.8279 and specificity was 84.71% using a<br />

50% absolute change criteria (increase or decrease); AUC was 0.8564 and specificity<br />

was 92.14% using a 12 pg/mL increase in cTnI concentration change criteria, and<br />

AUC was 0.9636 and specificity was 89.86% using a 12 pg/mL absolute change<br />

criteria (increase or decrease) to define clinical significant changes.The specificity<br />

using <strong>the</strong> overall 99th percentile cut<strong>of</strong>f (26.2 pg/mL) was calculated to be 83.76% at<br />

admission draw, 83.72% at 2-4 hours and 80.72% at 4-9 hours.<br />

Conclusion: The use <strong>of</strong> delta values may be used as a tool to improve specificity. The<br />

use <strong>of</strong> an absolute concentration change resulted in <strong>the</strong> highest AUC value.<br />

*under development in U.S.<br />

The study was funded by Abbott Laboratories.<br />

B-195<br />

Cardiac biomarkers measurement in plasma for early detection <strong>of</strong><br />

cardiotoxicity in patients undergoing chemo<strong>the</strong>rapy<br />

O. Rodriguez Fraga, T. López Fernandez, M. Canales, J. Feliu, E. Ramirez,<br />

J. López-Sendon, A. Buño Soto. University Hospital La Paz, Madrid, Spain<br />

Background: Chemo<strong>the</strong>rapy is frequently complicated by <strong>the</strong> development <strong>of</strong><br />

cardiotoxicity. Image techniques can measure left ventricular ejection fraction (LVEF)<br />

and o<strong>the</strong>r parameters for early detection<br />

like global strain longitudinal (GSL) are also used in <strong>the</strong> assessment <strong>of</strong> potential<br />

cardiotoxicity from chemo<strong>the</strong>rapy. Cardiac biomarkers can detect myocardial injury<br />

and left ventricular dysfunction and limited evidence suggests that may be important<br />

predictors <strong>of</strong> cardiotoxicity during chemo<strong>the</strong>rapy.<br />

Methods: We included 73 adult patients from Oncology and Haematology Services<br />

undergoing chemo<strong>the</strong>rapy with potential cardiotoxicity (trastuzumab, anthracyclines,<br />

ciclophosphamide, iphosphamide or sunitinib). Ethical approval was obtained.<br />

Cardiac biomarkers hs-cTnT, c-TnI and pro-BNP were measured additionally patient<br />

history, physical symptoms and cardiac events (heart failure, LVD, sudden death, or<br />

arrhythmia) were documented. These are preliminary results <strong>of</strong> a 2 years follow-up<br />

multicenter study. Transthoracic echocardiograms were performed at baseline and 6<br />

months to measure LVEF and GSL. Blood samples were obtained at baseline, 21d,<br />

3m and 6m. Chemioluminiscence assays were used for biomarkers: hs-cTnT (Roche<br />

Elecsys) and c-TnI and NT-proBNP (Siemens Vista) and 99 th percentile (P99) used<br />

as cut-<strong>of</strong>f (hs-cTnT: 14 pg/mL CV=10% and c-TnI 27 pg/mL CV=7.7%). According<br />

to image techniques, cardiotoxicity was defined as: LVEF decrease >10% without or<br />

>5% with heart failure to a value 10% to a value < -18%.<br />

Results: 73 patients (female 78,1% , mean age 55.1 years) with lymphoma (n=28)<br />

or breast cancer (n=45) were enrolled. Anthracyclines were used in 96,6% <strong>of</strong><br />

patients. The incidence <strong>of</strong> cardiotoxicity using LVEF criteria was 5,5% (decreased<br />

from baseline 64,1% to 6m 60,2%) and GSL 28% (-18.8% to -17.1%). Concordance<br />

between cardiotoxicity diagnosis by SGL and FEVI was 74%. Maximum value<br />

occurred at third month for both troponins (media value for hs-cTnT at baseline 8,52<br />

pg/mL, 21d 10,46 pg/mL, 3m 17,63 pg/mL and 6m 14,51 pg/mL and for c-TnI 18,4<br />

pg/mL, 19,5 pg/mL, 32,7 pg/mL and 25,6 pg/mL<br />

respectively); using P99 as cut-<strong>of</strong>f, hs-cTnT always identified additional patients<br />

when compared to c-TnI although no significant differences were found. Percentage<br />

<strong>of</strong> positive troponin values (>P99) were higher in patients with cardiotoxicity in both<br />

groups (LVEF and GSL). Concordance at 6m between hs-cTnT and LVEF and SGL<br />

were 54,8% and 64%. In both cases hs-cTnT was positive in 42% and 36% without<br />

cardiotoxicity. For c-TnI we observed 75,3% concordance defined by LVEF and a 70%<br />

by GSL. No significant relation was observed with NT-proBNP and cardiotoxicity.<br />

Conclusions: Cardiotoxicity incidence at 6 month follow-up GSL image is higher<br />

than LVEF. Increased hs-cTnT and c-TnI concentrations occurred in <strong>the</strong> cardiotoxicity<br />

group with a maximum concentration at third month. Hs-cTnT identifies more patients<br />

with cardiac injury than conventional c-TnI. We couldn´t establish a relation between<br />

concentrations <strong>of</strong> NT-proBNP and cardiotoxicity Use <strong>of</strong> myocardial deformation<br />

imaging (SLG) and cardiac biomarkers (hs-cTnT) may enable an early detection <strong>of</strong><br />

cardiotoxicity in subclinical patients.<br />

B-196<br />

Use Of Novel Plasma Biomarkers To Predict Hospitalization in<br />

Chronic Heart Failure Patients<br />

K. M. Harris 1 , S. S. Gottlieb 2 , D. S. Krantz 1 , J. Todd 3 , J. Estis 3 , V. Torres 3 , K.<br />

Whittaker 1 , H. Rebuck 2 , A. J. Wawrzyniak 4 , R. H. Christenson 2 . 1 USUHS,<br />

Be<strong>the</strong>sda, MD, 2 Univ <strong>of</strong> Maryland Sch <strong>of</strong> Med, Baltimore, MD, 3 Singulex,<br />

Alameda, CA, 4 University <strong>of</strong> Miami, Miami, FL<br />

Background: Prognosticating which heart failure (HF) patients (pts) will progress<br />

to adverse outcomes <strong>the</strong> fastest is clinically important and financially advantageous<br />

in <strong>the</strong> era <strong>of</strong> <strong>the</strong> Patient Protection and <strong>the</strong> Affordable Care Act. Many biomarkers<br />

are prognostic in HF pts, but it is unclear which ones (or combinations) are <strong>the</strong> most<br />

useful. We investigated <strong>the</strong> prognostic performance <strong>of</strong> novel & established biomarkers<br />

In a cohort <strong>of</strong> pts diagnosed with NYHA 2/3 systolic HF and EF


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

IL-17A, IL-1B, IL-10, MMP9) and VEGF. BNP and hs-CRP where measured with <strong>the</strong><br />

Alere and Siemens Vista assays, respectively. The o<strong>the</strong>r biomarkers utilized <strong>the</strong> high<br />

sensitivity Erenna System (Singulex).<br />

Results: Over 2.4±1.0 yrs follow-up, 66 pts (51%) died or were hospitalized for any<br />

cause and 33 (26%) were hospitalized for HF. Using ROC area and OR calculations<br />

(by median), ET, hs-cTnI, BNP, TNF-α and VEGF predicted HF hospitalization<br />

(table); after adjusting for age, sex and o<strong>the</strong>r statistically significant biomarkers, ET,<br />

hsTnI and TNF-α remained significant (table *OR). Separate analysis showed that<br />

ET, BNP and TNF-α all predicted all cause hospitalization/death (ROC areas 0.63,<br />

0.62, 0.61, respectively [all p


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

<strong>the</strong> range 6.9-107ng/mL. Both <strong>the</strong> routine (n=225, bias -1.93, 95%CI -2.28 to -1.57ng/<br />

mL) and STAT (n=225 bias -2.552, 95%CI -2.959 to -2.145ng/mL) assays correlated<br />

well with <strong>the</strong> Galectin-3 ELISA. 120 samples were obtained from apparently healthy<br />

individuals. The median age was 42 years, (interquartile range 18-69) years and no<br />

difference in age between gender groups (p=0.6163). The upper 97.5th percentile<br />

was 34.42ng/mL and 33.46ng/mL for <strong>the</strong> routine and STAT assays respectively.<br />

The 97.5 th percentile increased There was no significant difference in concentrations<br />

between males and females for ei<strong>the</strong>r <strong>the</strong> routine (p=0.772) or STAT (p=0.835) assay.<br />

CONCLUSIONS: Both <strong>the</strong> Galectin-3 Routine and STAT assays determined on<br />

<strong>the</strong> Abbott Architect i2000 SR<br />

demonstrate excellent analytical performance for <strong>the</strong><br />

determination <strong>of</strong> Galectin-3. Fur<strong>the</strong>r clinical studies are required to demonstrate <strong>the</strong><br />

prognostic potential <strong>of</strong> this novel marker in patients with accelerated fibrotic CHF.<br />

B-202<br />

The performance characteristics <strong>of</strong> <strong>the</strong> new high sensitivity Abbott<br />

cardiac troponin I assay.<br />

P. O. Collinson 1 , D. Gaze 1 , G. Wilson 2 . 1 St George’s Hospital, London,<br />

United Kingdom, 2 St Mary’s Hospital, London, United Kingdom<br />

Objectives. To determine <strong>the</strong> imprecision pr<strong>of</strong>ile, 99th percentile and diagnostic<br />

efficiency <strong>of</strong> a new high sensitivity cardiac troponin I (cTnI) assay.<br />

Methods: Total imprecision was assessed by following CLSI protocol EP15-A.14<br />

serum pools prepared from sera <strong>of</strong> known high cardiac troponin concentrations were<br />

adjusted by dilution with serum considered to be troponin free. Determination <strong>of</strong> <strong>the</strong><br />

99th-percentile reference value examined a fully characterized population that had<br />

undergone non-invasive cardiac imaging. Subjects >45 years old were randomly<br />

selected from seven representative local community practices. Details were collected<br />

by questionnaires plus blood pressure measurement, spirometry, electrocardiography<br />

(ECG) and echocardiography. They were venesected for fasting serum glucose, and<br />

creatinine. Diagnostic accuracy utilised samples from <strong>the</strong> point <strong>of</strong> care arm <strong>of</strong> <strong>the</strong><br />

RATPAC trial (Randomised Assessment <strong>of</strong> Treatment using Panel Assay <strong>of</strong> Cardiac<br />

markers), set in <strong>the</strong> emergency departments <strong>of</strong> six hospitals. Prospective admissions<br />

with chest pain and a non-diagnostic electrocardiogram were randomised to point<br />

<strong>of</strong> care assessment or conventional management. Blood samples were taken on<br />

admission and 90 minutes from admission. An additional blood sample was taken<br />

at admission and 90 minutes from admission, separated and <strong>the</strong> serum stored frozen<br />

until subsequent analysis. Samples were analysed for cTnI by 4 methods, <strong>the</strong> Architect<br />

hsTnI (A) (Abbott Diagnostics), range 1.1-50,000 ng/L 10% CV 4.7ng/L; <strong>the</strong> Stratus<br />

CS (CS) (Siemens Healthcare Diagnostics), range 30-50,000 ng/L 10% CV 60ng/L;<br />

<strong>the</strong> Beckman AccuTnI enhanced (B) (Access 2 , Beckman-Coulter) range 1 - 100,000<br />

ng/L, 10% CV 30 ng/L, <strong>the</strong> Siemens Ultra (S) (ADVIA Centaur, Siemens Healthcare<br />

Diagnostics), range.6 - 50,000 ng/L, 10% CV 30 ng/L. and cardiac troponin T (cTnT)<br />

by <strong>the</strong> Roche high sensitivity cardiac troponin T assay hs-cTnT (Elecsys 2010, Roche<br />

diagnostics), range 3 - 10,000ng/L, 10% CV 13ng/L. Diagnosis was based on <strong>the</strong><br />

universal definition <strong>of</strong> myocardial infarction utilising laboratory measurements <strong>of</strong><br />

cardiac troponin performed at <strong>the</strong> participating sites toge<strong>the</strong>r with measurements<br />

performed in a core laboratory. Diagnostic accuracy was compared by construction <strong>of</strong><br />

receiver operator characteristic curves against <strong>the</strong> universal definition <strong>of</strong> myocardial<br />

infarction (MI) utilising laboratory measurements <strong>of</strong> cardiac troponin performed at<br />

<strong>the</strong> participating sites and measurements performed in a core laboratory.<br />

Results: Total imprecision was from 4% (1262 ng/L) to 12.1% (4.4 ng/L) with within<br />

run imprecision


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

Results: The mean amount (AUC 0-96h<br />

) <strong>of</strong> CK-MB and cTnT released for 96 h in <strong>the</strong><br />

patients with valve operation were 2621.8 h·ng/mL and 119.2 h·pg/mL which were<br />

significantly larger than those in <strong>the</strong> patients with CABG or septal operation (P


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-208<br />

Diagnostic Accuracy <strong>of</strong> <strong>the</strong> Ortho-Clinical Diagnostics VITROS ES<br />

cTnI Assay<br />

M. M. Murakami 1 , S. E. Nelson 1 , Y. Sandoval 1 , S. W. Smith 1 , K. M.<br />

Schulz 1 , L. A. Pearce 2 , F. S. Apple 1 . 1 Hennepin County Medical Center,<br />

Minneapolis, MN, 2 Biostatistical Consulting, Minot, ND<br />

Background: The diagnosis <strong>of</strong> acute myocardial infarction (MI) is based on clinical<br />

factors and an increased cardiac troponin (cTn), with a rising and /or falling cTn<br />

pattern required. The use <strong>of</strong> a delta (change) value may play a role in optimizing<br />

diagnostic specificity. The goal <strong>of</strong> this study was to validate <strong>the</strong> diagnostic accuracy<br />

<strong>of</strong> <strong>the</strong> Ortho-Clinical Diagnostics (OCD) Vitros ES cTnI assay based on a) 99th<br />

percentile and b) <strong>the</strong> delta values (absolute concentration differences) between 0-3h<br />

and 0-6h serial blood draws.<br />

Methods: We reviewed 1271 patients presenting with symptoms suggestive <strong>of</strong><br />

ischemia presenting to <strong>the</strong> emergency department with serial cTnI concentrations.<br />

Plasma (heparin) was obtained at presentation and 3 (n=628), 6 (n =958) and/or 9<br />

(n=951) h. cTnI was measured by <strong>the</strong> OCD assay (LoD, 12 ng/L; 99th percentile 34<br />

ng/L, 10%CV). Charts with any increased cTnI were adjudicated for MI, predicated<br />

on <strong>the</strong> Universal Definition <strong>of</strong> MI guidelines.<br />

Results: Type 1 MI was diagnosed in 8% (n=33 STEMI; n=69 NSTEMI) and type 2<br />

MI in 17% (total MI rate 25%). At 0h, similar proportions <strong>of</strong> type 1 STEMI (45%),<br />

NSTEMI (55%) and type 2 MI (42%) were increased above <strong>the</strong> 99 th percentile (p=0.2).<br />

The table demonstrates diagnostic accuracy findings. Clinical sensitivity improved<br />

over serial testing, from 46% at 0h to 96% at 6h. Specificity was 93% at presentation<br />

(0h), and <strong>the</strong> delta change values at 3 and 6h did not improve diagnostic accuracy<br />

(specificity 90-91%) compared to <strong>the</strong> individual timed cTnI finding at baseline.<br />

Conclusions: We confirm that <strong>the</strong> contemporary OCD Vitros ES cTnI assay is an<br />

important diagnostic aid in ruling in/out acute MI for both type 1 and 2 MIs using <strong>the</strong><br />

99 th percentile. The delta change value did not improve diagnostic utility to <strong>the</strong> assay<br />

which already provided a high clinical specificity at baseline.<br />

Diagnostic Accuracy - VITROS ES cTnI<br />

%Sensitivity % Specificity LR+ LR- ROC AUC<br />

Time<br />

(95%CI) (95%CI) (95%CI) (95%CI) (95%CI)<br />

6.3 (4.9, 0.58 (0.5, 0.73 (0.70,<br />

0h (>34 ng/L) 46 (40, 52) 93 (91, 94)<br />

8.1 0.6) 0.75)<br />

6.5 (5.1, 0.13 0.08, 0.91 (0.89,<br />

3h (>34 ng/L) 89 (83, 93) 86 (83, 89)<br />

8.3) 0.2)<br />

7.9 (6.5,<br />

6h (>34 ng/L) 96 (93, 98) 88 (85, 90)<br />

9.6)<br />

0-3h (30 ng/L) abs<br />

-- 91 (88, 93) -- --<br />

conc delta<br />

0-6h (20 ng/L) abs<br />

-- 90 (88, 92) -- --<br />

conc delta<br />

B-209<br />

0.05 (0.02,<br />

0.09)<br />

0.93)<br />

0.94 (0.93,<br />

0.96)<br />

0.92 (0.90,<br />

0.94)<br />

0.94 (0.92,<br />

0.95)<br />

The biological characteristics <strong>of</strong> IL-6, IL-17A and TNF-α for<br />

monitoring patients at risk for developing cardiovascular disease.<br />

A. H. Wu 1 , J. Estis 2 , V. Torres 2 , J. Todd 2 . 1 University <strong>of</strong> California, San<br />

Francisco, San Francisco, CA, 2 Singulex, Inc., Alameda, CA<br />

Background: A<strong>the</strong>rosclerosis research has proven that chronic inflammation <strong>of</strong><br />

<strong>the</strong> blood vessels plays a major role in <strong>the</strong> initiation and progression <strong>of</strong> <strong>the</strong> disease<br />

and plasma cytokine concentrations can risk stratify both primary and secondary<br />

prevention patients for future cardiovascular. Their use in clinical practice requires<br />

documentation <strong>of</strong> analytical and biological characteristics. We determined preliminary<br />

reference ranges, biological variability, and magnitude <strong>of</strong> elevation <strong>of</strong> plasma IL-6,<br />

IL-17A and TNF-α in heart failure (HF) and patients.<br />

Methods: Reference range (120 healthy subjects), biological variability (25 healthy<br />

subjects, 6 weekly samples and 17 at risk CVD patients, 3 samples over 9 mos), HF<br />

(30 NYHA class I-III subjects & 30 age/sex matched controls). Assays- IL-6, IL-17A,<br />

TNF-α, and cTnI (high-sensitivity lab developed tests run on <strong>the</strong> ERENNA System<br />

in a CLIA licensed lab) hsCRP & NT-proBNP, Roche. Biological variability (or<br />

reference change values, RCVs) was determined using nested ANOVA. The protocol<br />

was approved by a local ethics committee.<br />

Results: The findings <strong>of</strong> this study are presented in <strong>the</strong> table. The IL-6, IL-17A and<br />

TNF-α biomarkers were quantifiable in all healthy volunteers and we were able to<br />

establish 95/99%tile reference range cutpoints. The short- and long-term biological<br />

variability <strong>of</strong> <strong>the</strong>se biomarkers in both healthy and CVD at risk patients was low<br />

and similar to values previously published for cTnI and hs-CRP; indicating that<br />

serial monitoring may be more appropriate than <strong>the</strong> use <strong>of</strong> reference ranges. These<br />

biomarkers (as well as hsCRP & NT-proBNP; p0.06 ug/L, we elected to measure our false positive<br />

rates <strong>of</strong> troponins using <strong>the</strong> usual Becton Dickinson (Franklin Lakes, NJ) PST and <strong>the</strong><br />

Becton Dickinson rapid serum tube (RST).<br />

Materials and Methods: All troponin testing was performed on ei<strong>the</strong>r <strong>of</strong> two<br />

Beckman DxI analyzers (Beckman Coulter, Fullerton, CA) . For Nov 26-Dec 24<br />

2012, RST tubes were made available for clinical usage in our emergency department,<br />

cardiology and cardiovascular units. No special instructions were provided to <strong>the</strong><br />

nursing staff who drew many <strong>of</strong> <strong>the</strong> specimens. As <strong>the</strong>re was ready access to <strong>the</strong> PST,<br />

we also obtained plasma specimens for troponin analysis. On a daily basis, previously<br />

analyzed PST and RST specimens were ga<strong>the</strong>red as specified in <strong>the</strong> Table’s initial<br />

troponin levels. These specimens were recentrifuged and reanalyzed. Any specimen<br />

with a subsequent troponin


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

Objective: We compared <strong>the</strong> analytical performance <strong>of</strong> 2 high sensitivity (hs)-cTn<br />

assays - a pre-market prototype hs-troponin I (hsTnI, Abbott Diagnostics) and an<br />

existing in service hs-troponin T (hsTnT, Roche Diagnostics).<br />

Design and Methods: Serum from 695 subjects (298 female) who had been tested for<br />

hsTnT was analyzed for hsTnI. The concordance <strong>of</strong> hs-TnI values to <strong>the</strong> corresponding<br />

hs-TnT band was calculated. The stated limit <strong>of</strong> detection (LoD) for hs-TnT is 5 ng/L<br />

and 1.2 ng/L for hs-TnI (ClinChem 2012;58:59). The TnT cut point for AMI is 100<br />

ng/L (package insert). The 99 th centile upper reference limit (99C) for healthy subjects<br />

(< 65 years) previously determined was 15 ng/L for hs-TnT (<strong>AACC</strong> <strong>Annual</strong> <strong>Meeting</strong><br />

2010 Abstract C-88) and 21 ng/L for hs-TnI (<strong>AACC</strong> <strong>Annual</strong> <strong>Meeting</strong> 2012 Abstract<br />

A-23). Statistical analyses were performed on MedCalc v12.0 (Mariakerke, Belgium).<br />

Results: The study subjects were stratified according to <strong>the</strong>ir hs-TnT concentrations:<br />

Group A (normal - below 15 ng/L), Group B (elevated - 16-100 ng/L), Group C (AMI<br />

cut point – greater than 100 ng/L).<br />

Table.<br />

Distribution <strong>of</strong> study subjects by hs-troponin concentrations<br />

Study subjects<br />

hs- troponin ng/L<br />

Group<br />

Age (yrs)<br />

range<br />

mean (95%<br />

CI)<br />

N hs-TnT hs-TnI<br />

median (95% median (95%<br />

total<br />

CI)<br />

CI)<br />

(female)<br />

IQR IQR<br />

15-99<br />

10.0* (9.0-<br />

A<br />

7.1** (6.5-8.2)<br />

65.9 (64.3- 268 (125) 11.0)<br />

(normal)<br />

4.0-13.6<br />

67.5)<br />

7.0-12.0<br />

22-99<br />

38.0 (34.0- 35.9 (30.3-<br />

B<br />

74.9 (72.7- 241 (91) 42.0) 39.9)<br />

(elevated)<br />

76.0)<br />

24.0-63.3 17.6-96.6<br />

C<br />

39-99<br />

256.5 (211- 620.3 (497-<br />

(AMI cut 71.6 (69.6- 186 (82) 339) 1000)<br />

point) 73.5)<br />

148-1330 194-6227<br />

*only 147 subjects (54.9%) with hs-TnT > LOD<br />

**only 260 subjects (97.0%) with hs-TnI > LOD<br />

TnT-TnI<br />

Concordance<br />

88.4%<br />

(31 increased<br />

TnI)<br />

71.0%<br />

(70 normal TnI)<br />

97.3%<br />

(5 normal TnI)<br />

There was close agreement in cTn values for Groups A and C. Notably, 95% (116/122)<br />

<strong>of</strong> subjects with hs-TnT below <strong>the</strong> LOD in Group A had detectable hs-TnI values and<br />

less than 1% <strong>of</strong> <strong>the</strong> samples had cTn concentrations above <strong>the</strong> instruments’ analytical<br />

measuring range.<br />

Conclusion: The hs-TnI is analytically more sensitive than hs-TnT (provides<br />

measurable values when hs-TnT is < LOD). There is strong concordance in hs-cTn<br />

results between <strong>the</strong>se two troponin assays. Outcome studies are needed to clarify <strong>the</strong><br />

clinical value <strong>of</strong> <strong>the</strong>se hs-cTn assays in practice.<br />

B-212<br />

Development <strong>of</strong> Liquid Assays for <strong>the</strong> Measurement <strong>of</strong> Lipid Pr<strong>of</strong>ile<br />

Components on <strong>the</strong> RX monaco Analyser<br />

L. Young, P. McGivern, P. Armstrong, J. Campbell, S. P. Fitzgerald. Randox<br />

Laboratories Limited, Crumlin, United Kingdom<br />

Introduction: Many clinicians continue to use total cholesterol and triglyceride<br />

levels as diagnostic markers for lipid disorders and cardiovascular risk. However,<br />

<strong>the</strong>se parameters alone do not provide <strong>the</strong> necessary information required for accurate<br />

clinical assessment <strong>of</strong> an individual. It is now widely accepted that detailed lipoprotein<br />

information is required for accurate diagnosis and treatment <strong>of</strong> lipid disorders.<br />

Relevance: This study reports <strong>the</strong> development <strong>of</strong> five liquid assay kits with<br />

enhanced precision and assay range for <strong>the</strong> measurement <strong>of</strong> cholesterol, triglycerides,<br />

high density lipoprotein (HDL), low density lipoprotein (LDL), and lipoprotein(a)<br />

(Lp(a)) in serum and plasma. This is applicable to <strong>the</strong> fully automated bench top/<br />

floor standing continuously loading RX monaco analyzer to facilitate <strong>the</strong> accurate<br />

assessment <strong>of</strong> cardiovascular risk.<br />

Methodology: In <strong>the</strong> cholesterol and triglycerides assays analyte levels are<br />

determined after enzymatic hydrolysis and oxidation. Both <strong>the</strong> HDL and LDL<br />

assays operate using a direct clearance method. The Lp(a) assay is a latex enhanced<br />

immunoturbidimetric assay.<br />

For all assays on <strong>the</strong> RX monaco <strong>the</strong> first result is generated after 14 minutes. Onboard<br />

and calibration stabilities were tested by storing two lots <strong>of</strong> reagent uncapped on<br />

<strong>the</strong> RX monaco analyser for a period <strong>of</strong> 28 days. Within-run and total precision were<br />

assessed by testing serum samples at defined medical decision levels, 2 replicates<br />

twice a day for 20 days. Correlation studies were conducted using commercially<br />

available assays.<br />

Results: For all <strong>the</strong> assays, <strong>the</strong> liquid reagents presented on-board and calibration<br />

stabilities <strong>of</strong> 28 days. The assays were found to be functionally sensitive to<br />

0.21mmol/L (cholesterol assay), 0.11mmol/L (triglycerides assay), 0.17mmol/L<br />

(HDL assay), 0.23mmol/L (LDL assay) and 6.18mg/dL (Lp(a) assay) and linear<br />

up to 16.97mmol/L, 13.09mmol/L , 4.28mmol/L, 18.34mmol/L and 103.89mg/dL<br />

respectively. The within-run and total precision for three different concentration levels<br />

typically had %C.V.’s ranging from


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-214<br />

Performance <strong>of</strong> a New Liquid Cardiac Markers Control with Extended<br />

2-8ºC Stability in a Dropper Vial Format for Utility in Both <strong>the</strong> Central<br />

Laboratory and at <strong>the</strong> Point-Of-Care<br />

B. Fernández, J. Starobin, P. Lenichek, S. Musngi, M. Ghadessi, M. Ban.<br />

Quantimetrix, Redondo Beach, CA<br />

Background: It is critical when measuring patient samples for indicators <strong>of</strong> disease<br />

that stable controls are used to validate instrument performance. Cardiac markers are<br />

used to diagnose and risk-stratify patients with acute coronary syndromes and o<strong>the</strong>r<br />

cardiovascular-related issues. Cardiac Troponin I (cTnI), N-terminal pro-natriuretic<br />

peptide (NT-ProBNP), B-type natriuretic peptide (BNP), and D-Dimer have been<br />

notoriously difficult to stabilize in a human serum based control format, requiring<br />

that <strong>the</strong> materials be lyophilized or frozen to provide adequate shelf-life and may only<br />

<strong>of</strong>fer very limited 2-8ºC stability.<br />

Objective: To formulate an improved human serum derived cardiac markers control<br />

that exhibits extended 2-8ºC stability <strong>of</strong> at least 6 months for cTnI, NT-ProBNP, BNP<br />

and D-Dimer while allowing for <strong>the</strong> inclusion <strong>of</strong> o<strong>the</strong>r less-labile cardiac markers.<br />

Methods: A human serum derived matrix was formulated with preparations <strong>of</strong> cTnI,<br />

NT-ProBNP, BNP, and D-Dimer to clinically significant levels. Aliquots in plastic<br />

dropper vials and were stressed at 25 ºC and 37ºC for 6 days while remaining samples<br />

were maintained at -20 ºC and 2-8ºC for real-time analysis. The assays for cTnI, NT-<br />

ProBNP, and D-Dimer were performed on <strong>the</strong> Siemens Dimension® ExL, using<br />

<strong>the</strong> Kamiya K-assay® reagent for D-Dimer. The assays for BNP were performed on<br />

<strong>the</strong> Beckman Access® 2 using <strong>the</strong> Alere Triage® BNP reagent. The data was used to<br />

create an Arrhenius model allowing for <strong>the</strong> prediction <strong>of</strong> long-term stability.<br />

Results:<br />

Table 1: Stability Results<br />

Average Real-Time and Accelerated Stress Data Arrhenius Modeling (±20% Cut<strong>of</strong>f)<br />

Calculated<br />

Predicted<br />

Analyte Units Fresh 3 months 7 months 6 days 6 days @<br />

Predicted<br />

Ea (cal/<br />

-20ºC<br />

Value @ 4ºC @ 4ºC @ 25ºC 37ºC<br />

4ºC Stability<br />

mol)<br />

Stability<br />

1.024 1.078 0.82 0.68<br />

cTnI ng/mL 0.984<br />

25,495 12 months >> 10 years<br />

(+4%) (+10%) (-17%) (-31%)<br />

NT-<br />

ProBNP pg/mL 4385 4017 3795 4179 3712<br />

19,121 10 months >> 10 years<br />

(-8%) (-13%) (-5%) (-15%)<br />

2618 2272 2650 2531<br />

BNP pg/mL 2607<br />

10,838 10 months 5.8 years<br />

(0%) (-13%) (+2%) (-3%)<br />

2.93<br />

2.67 2.61<br />

D-Dimer μg/mL 2.76<br />

NA<br />

14,349 10 months 10 years<br />

(+6%)<br />

(-3%) (-5%)<br />

Conclusion: This liquid cardiac markers control formulation exhibits excellent 2-8ºC<br />

stability <strong>of</strong> up to 10 months when evaluated at a ±20% failure cut<strong>of</strong>f. The Arrhenius<br />

prediction is corroborated by <strong>the</strong> on-going real-time testing. The extended stability<br />

and dropper vial format is <strong>of</strong> particular convenience to <strong>the</strong> point-<strong>of</strong>-care testing format<br />

where samples can be thawed and ready to use without <strong>the</strong> need to use pipettes to<br />

deliver <strong>the</strong> sample.<br />

B-215<br />

Evaluation <strong>of</strong> a new STAT High Sensitive Troponin-I assay on <strong>the</strong><br />

ARCHITECT i2000SR Instrument<br />

V. Juvent 1 , L. Lebeau 1 , J. Shih 2 , L. Lennartz 3 , P. Boudry 1 . 1 Centre Hospitalier<br />

Regional Boussu, Boussu, Belgium, 2 Abbott Laboratories, Abbott Park, IL,<br />

3<br />

Abbott, Wiesbaden, Germany<br />

Introduction: A new ARCHITECT high sensitive troponin-I assay has been developed<br />

that fulfills <strong>the</strong> requirements <strong>of</strong> <strong>the</strong> third universal definition <strong>of</strong> myocardial infarction<br />

(MI), which calls for rise and/or fall <strong>of</strong> Troponin levels with at least on value above<br />

<strong>the</strong> cut-<strong>of</strong>f. Troponin is <strong>the</strong> preferred biomarker to be used in <strong>the</strong> diagnosis <strong>of</strong> MI and<br />

<strong>the</strong> cut<strong>of</strong>f should be <strong>the</strong> 99 th percentile <strong>of</strong> <strong>the</strong> upper reference limit <strong>of</strong> normal (ULN)<br />

with a precision at this cut<strong>of</strong>f <strong>of</strong> less <strong>the</strong> 10% total CV. The objective <strong>of</strong> this study<br />

was to evaluate <strong>the</strong> performance <strong>of</strong> <strong>the</strong> ARCHITECT STAT high sensitive Troponin-I<br />

(hsTnI) assay on <strong>the</strong> i2000 SR<br />

instrument in a routine laboratory and compare clinical<br />

samples to <strong>the</strong> routinely used ARCHITECT TnI assay.<br />

Methods: The ARCHITECT STAT High Sensitive Troponin-I is a double monoclonal<br />

antibody sandwich assay utilizing CMIA technology. Five day precision and<br />

verification <strong>of</strong> <strong>the</strong> LoB, LoD and LoQ were performed with guidance from CLSI<br />

guidelines EP5-A2 and AP17-A. The preliminary 99 th percentile URL was determined<br />

with 70 lithium heparin samples from a healthy population tested also for BNP,<br />

HbA1c and eGFR. One hundred ninety three lithium heparin samples from patients<br />

presenting with chest pain suspicious <strong>of</strong> acute coronary syndrome were used for a<br />

correlation study, comparing <strong>the</strong> previous ARCHITECT STAT Troponin-I assay with<br />

<strong>the</strong> new ARCHITECT STAT High Sensitive Troponin-I assay.<br />

Results. The total %CV from <strong>the</strong> 5-day precision protocol ranged from 2.6 to 3.9<br />

with sample concentrations ranging from19 pg/mL to 14032 pg/mL. The LoB, LoD<br />

and LoQ were verified to be 0.11 pg/mL, 0.5 pg/mL and 7.7 pg/mL, respectively.<br />

The %CV at 7.7 pg/mL was 10.6%. Using <strong>the</strong> ULN from <strong>the</strong> respective package<br />

inserts as <strong>the</strong> threshold, agreement between <strong>the</strong> routine ARCHITECT TnI and <strong>the</strong> high<br />

sensitive ARCHITECT assay was 94% with samples ranging from 0.5 to 20425 pg/<br />

mL. Passing-Bablok analysis indicated a slope <strong>of</strong> 0.98. Altman Bland test showed an<br />

average % bias <strong>of</strong> -18%.<br />

In 71 samples from apparently healthy blood donors <strong>the</strong> mean (minimum, maximum)<br />

concentration for <strong>the</strong> hs TnI assay were 1.54 pg/mL, (0.1 to 26.5 pg/mL) with<br />

%HbA1c average at 5.3% (4.7 to 6.5%), BNP average <strong>of</strong> 26 pg/mL (10-4 to 114.3)<br />

and average MDRD eGFR <strong>of</strong> 93 ml/min/1.73 (36 to 169 ml/min/1.73). 66% <strong>of</strong> <strong>the</strong> 71<br />

healthy individuals had hs TnI values above <strong>the</strong> LoD <strong>of</strong> 0.5 pg/mL.<br />

Conclusion: The new ARCHITECT STAT High Sensitive Troponin-I assay fulfills<br />

<strong>the</strong> criteria for a high sensitive assay in regard to precision at 99 th percentile ULN.<br />

In apparently healthy individuals 66% had TnI levels over <strong>the</strong> limit <strong>of</strong> detection.<br />

The diagnosis <strong>of</strong> myocardial infarction as defined by <strong>the</strong> third universal definition <strong>of</strong><br />

myocardial infarction is supported by <strong>the</strong> ARCHITECT hs TnI assay with improved<br />

precision at lower concentrations.<br />

B-216<br />

Analytical Evaluation <strong>of</strong> <strong>the</strong> ARCHITECT STAT High Sensitive<br />

Troponin-I Assay<br />

J. Lotz 1 , R. Lott 1 , L. Lennartz 2 , J. Shih 3 , K. Lackner 4 . 1 Institute for<br />

Clinical Chemistry and Laboratory Medicine, University Medical Center<br />

<strong>of</strong> <strong>the</strong> Johannes Gutenberg University Mainz, Mainz, Germany, 2 Abbott,<br />

Wiesbaden, Germany, 3 Abbott Laboratories, Abbott Park, IL, 4 Institute for<br />

Clinical Chemistry and Laboratory Medicine, University Medical Center<br />

<strong>of</strong> <strong>the</strong> Johannes Gutenberg University <strong>of</strong> Mainz, Mainz, Germany<br />

Introduction: The third universal definition <strong>of</strong> myocardial infarction (MI) calls for a<br />

risíng and/or falling pattern <strong>of</strong> Troponin (Tn) with at least one Tn measurement above<br />

<strong>the</strong> 99 th percentile upper limit <strong>of</strong> normal (ULN) for <strong>the</strong> confirmation <strong>of</strong> <strong>the</strong> diagnosis<br />

<strong>of</strong> myocardial infarction in a symptomatic chest pain population. High sensitive<br />

Troponin assays are now available with improved capability to support this definition.<br />

The objective <strong>of</strong> this study was to evaluate <strong>the</strong> analytical performance <strong>of</strong> <strong>the</strong><br />

ARCHITECT STAT High Sensitive Troponin-I assay and to compare clinical sample<br />

results with <strong>the</strong> contemporary ARCHITECT STAT Troponin-I assay.<br />

Methods: The ARCHITCT STAT high sensitive Troponin-I assay is a double<br />

monoclonal antibody sandwich assay using CMIA technology on <strong>the</strong> ARCHITECT<br />

instrument. Five day precision, verification <strong>of</strong> LoB, LoD, LoQ, linearity and<br />

interference testing were performed with guidance from CLSI guideline EP5-A2,<br />

AP17-A, EP6-A and EP7-A. The 99 th percentile upper reference limit was determined<br />

using lithium heparin plasma from an apparently healthy population. Participants were<br />

fur<strong>the</strong>r defined by medical history and BNP concentration. Comparison to <strong>the</strong> routine<br />

ARCHITECT method was performed by running 475 lithium heparin samples from<br />

patients being evaluated for myocardial infarction in parallel on <strong>the</strong> ARCHITECT<br />

systems connected to <strong>the</strong> automated laboratory solutions.<br />

Results: The performance <strong>of</strong> <strong>the</strong> assay was in agreement with <strong>the</strong> package insert<br />

data. Total %CVs from <strong>the</strong> 5 day precision study were


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

than 50%. Using <strong>the</strong> URL as threshold agreement between <strong>the</strong> current and <strong>the</strong> high<br />

sensitive ARCHITECT TnI assay was 94%, <strong>the</strong> precision <strong>of</strong> <strong>the</strong> new assay at low<br />

levels however is greatly improved, allowing for more confidence in diagnosis MI.<br />

B-217<br />

A simple single-enzyme two-reagent total homocysteine assay for<br />

widespread testing and screening<br />

plasma at 2-8C for at least 2 days. HF patients demonstrated significantly elevated<br />

ET compared to matched controls (Figure, 0.8-8.8 vs. 1.2-2.9 pg/mL; Mann Whitney<br />

p=0.001; OR = 5.2).<br />

Conclusions: These findings demonstrate that biologically active ET can be robustly<br />

measured in plasma with <strong>the</strong> use <strong>of</strong> a high sensitivity assay platform. Fur<strong>the</strong>r studies<br />

are required to validate <strong>the</strong> clinical utility <strong>of</strong> ET alone and in combination with o<strong>the</strong>r<br />

biomarkers for <strong>the</strong> management <strong>of</strong> CVD patients.<br />

Y. Tan, S. Li, L. Tang-Hall, Q. Han, R. M. H<strong>of</strong>fman. AntiCancer, Inc, San<br />

Diego, CA<br />

Background: Total plasma/serum homocysteine (tHCY) is an independent risk<br />

factor for cardiovascular disease and o<strong>the</strong>r serious diseases. Therefore, tHCY should<br />

be routinely measured like cholesterol. Current methods for tHCY measurement are<br />

applicable only to specific analyzers, are complex and expensive and <strong>the</strong>refore not<br />

suitable for clinical screening and routine testing. We have developed a 2-reagent<br />

single-enzyme tHCY assay for common automated analyzers.<br />

Methods: The protocol and principle <strong>of</strong> <strong>the</strong> two-reagent A/C HCY Assay is as follows:<br />

<strong>the</strong> Reagent I (RI) is a combination <strong>of</strong> a reducing reagent, homocysteine α γ-lyase, and<br />

a pre-chromophore consisting <strong>of</strong> a Schiff-based <strong>of</strong> N,N-dibutyl-p-phenylenediamine<br />

(DBPDA) and pyridoxal 5′-phosphate (PLP). When <strong>the</strong> sample (30 μL) <strong>of</strong> ei<strong>the</strong>r<br />

plasma or serum is added to RI, <strong>the</strong> reduction <strong>of</strong> tHCY takes place and enzymatic<br />

reaction occurs <strong>the</strong>reby producing H 2<br />

S which binds to <strong>the</strong> pre-chromophore. Total<br />

time is 5 min. The second step consists <strong>of</strong> adding an oxidant in acid (potassium<br />

ferriccynide [K 3<br />

Fe(CN) 6<br />

]), <strong>the</strong> Reagent II (RII). The oxidation reaction takes place<br />

within 5 minutes. A colored product results which can be measured by absorbance<br />

at OD 660 nm or by fluorescence at Ex 660/Em 710 nm. The total time for <strong>the</strong> assay<br />

is 15 min. The throughput on Hitachi 912 Automatic Analyzer is 360 tests per hour,<br />

for example.<br />

Results: The assay takes 15 minutes. The 2-reagent assay was compared to a fourreagent<br />

enzymatic tHCY assay (FDA 510(k) 030765) for 125 plasma samples. The<br />

correlation coefficient was 0.99 and <strong>the</strong> slope was 1.0. The precisions <strong>of</strong> within and<br />

between assay were below 5% and 10%, respectively. The linearity <strong>of</strong> tHCY in <strong>the</strong><br />

2-reagent assay was 3.7-45 μmol/L, and <strong>the</strong> detection limit was 3.7 μmol/L. The<br />

interferences <strong>of</strong> L-CYS, L-MET, lipid and protein were all below 10%.<br />

Conclusion: The 2-reagent tHCY assay has high precision and sensitivity and<br />

compares well with a more complex 4-reagent enzymatic tHCY test. The 2-reagent<br />

tHCY test is applicable to essentially any automated or manual analyzer. The<br />

simplicity and economy <strong>of</strong> <strong>the</strong> present 2-reagent tHCY test makes it advantageous<br />

over all commercial homocysteine assays currently available and <strong>the</strong>refore, for <strong>the</strong><br />

first time, can enable widespread tHCY testing and screening.<br />

B-218<br />

Biologically Active (aa1-21) Endo<strong>the</strong>lin-1 Is Robustly Measured in<br />

Human Plasma with a Highly Sensitive Single Molecule Counting<br />

Platform<br />

V. Torres, J. Estis, J. Felberg, J. Todd. Singulex, Alameda, CA<br />

Background: Since its discovery in 1989, plasma Endo<strong>the</strong>lin-1 (ET) has been studied<br />

as a biomarker to risk stratify patients for developing CVD, especially heart failure<br />

(HF). Such studies have been hindered by <strong>the</strong> inability <strong>of</strong> assays to quantify <strong>the</strong> very<br />

low endogenous concentration <strong>of</strong> <strong>the</strong> biologically active 21 amino acid peptide.<br />

Objective : To develop a highly sensitive immunoassay for biologically active ET and<br />

characterize <strong>the</strong> concentrations <strong>of</strong> plasma ET in healthy volunteers and HF patients.<br />

Methods: Using single molecule counting technology on <strong>the</strong> Erenna® System<br />

we developed a paramagnetic-microparticle based sandwich immunoassay using<br />

monoclonals MAB3004 and MA3005 for quantifying plasma ET. Patients: under IRB<br />

approval and informed consent plasma was obtained from 29 HF (NYHA class I-III,<br />

median 63 yrs) patients and 30 age/sex matched controls as well as healthy volunteers<br />

(HV) to determine assay analytics, a preliminary reference range and sample stability<br />

estimates.<br />

Results: The analytical performance <strong>of</strong> <strong>the</strong> Erenna ET assay determined over 6<br />

independent assay runs was: LoD = 0.07 pg/mL, LLoQ = 0.33 pg/mL, dilutional<br />

linearity <strong>of</strong> neat non-spiked plasma samples was maintained to 0.31 pg/mL, and interassay<br />

precision (CV) 7% @ 1.2 pg/mL and 6% @ 1.8 pg/mL. ET was measurable in<br />

all plasma from HV (average 2.15 pg/mL; range 1.19-3.53 pg/mL) and was stable in<br />

B-219<br />

Prototype digital immunoassay for troponin I with sub-femtomolar<br />

sensitivity<br />

L. Chang 1 , P. Patel 1 , L. Song 1 , Y. Chen 1 , D. Hanlon 1 , K. Minnehan 1 ,<br />

M. Gardel 1 , B. Pink 1 , L. York 1 , S. Sullivan 1 , R. Meyer 1 , B. Flaherty 1 ,<br />

J. Christopher 1 , D. H. Wilson 1 , M. Conrad 2 , P. Jarolim 2 . 1 Quanterix<br />

Corporation, Cambridge, MA, 2 Brigham and Women’s Hospital, Harvard<br />

Medical School, Boston, MA<br />

Background: High-sensitivity cardiac troponin I (cTnI) measurement <strong>of</strong>fers a<br />

promising new tool for early detection and monitoring <strong>of</strong> cardiovascular disease. The<br />

ability to reliably assign TnI values to all normal subjects tested represents a newly<br />

desired assay capability in many applications. We report preliminary analytical data<br />

from a prototype digital immunoassay for serum TnI that is capable <strong>of</strong> 2-3 logs greater<br />

sensitivity than <strong>the</strong> clinically used cTn assays and 1-2 logs greater sensitivity than<br />

<strong>the</strong> latest high-sensitivity troponin assays, most <strong>of</strong> which are not yet commercially<br />

available.<br />

Method: Reagents were developed for a paramagnetic bead-based ELISA for use in<br />

high-density microarrays. Individual anti-cTnI capture-beads with immunocomplexes<br />

and associated enzyme labels (β-galactosidase) were individually isolated within<br />

<strong>the</strong> microarrays and interrogated for presence <strong>of</strong> enzyme label. Wells containing an<br />

enzyme immunocomplex convert substrate to a fluorescent product, which becomes<br />

concentrated in femtoliter volume microwells. This permits imaging <strong>of</strong> wells<br />

containing single molecules <strong>of</strong> label with a CCD camera. Poisson statistics predict that<br />

each well will contain ei<strong>the</strong>r one cTnI molecule or no cTnI molecules when <strong>the</strong> ratio<br />

<strong>of</strong> bound cTnI per bead is much less than one. Raw signal is recorded as “% active<br />

wells”, which is converted to “average enzymes/bead” to correct for non-Poisson<br />

behavior at higher cTnI concentrations. The output is related to a standard curve and<br />

converted to a cTnI concentration in <strong>the</strong> sample. The digital troponin I immunoassay<br />

was evaluated for recovery, linearity, precision, analytical sensitivity and ability to<br />

measure cTnI in normal serum samples. Discrimination <strong>of</strong> normal subjects and those<br />

with mild to moderate heart failure was also preliminarily assessed.<br />

Results: Limit <strong>of</strong> Detection (3SD method) was estimated as 0.017 pg/mL (0.7 fM)<br />

across 10 experiments and 2 reagent lots. Linearity conducted per CLSI EP6-A gave<br />

close agreement with linear fitting model (R2 = 0.989), with average deviation from<br />

linearity <strong>of</strong> 11%. Average recovery <strong>of</strong> NIST cTnI spiked into 4 serum samples was<br />

113%. cTnI values from 46 normal control samples ranged from 0.13 to 12.25 pg/<br />

mL, with mean, median, 75 percentile <strong>of</strong> 1.92, 1.05, and 2.36 pg/mL respectively.<br />

Total imprecision from a normal serum sample tested on four separate runs was 9.5%<br />

CV with a mean cTnI <strong>of</strong> 1.45 pg/mL. cTnI values from 33 mild to moderate heart<br />

failure patients (NYHA classification II and III) ranged from 2.27 to 388 pg/mL,<br />

with a median <strong>of</strong> 12.52 pg/mL. The cohort <strong>of</strong> heart failure samples were significantly<br />

elevated relative to <strong>the</strong> normals (p = 0.0067).<br />

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Wednesday, July 31, 9:30 am – 5:00 pm<br />

Conclusion: The assay demonstrated <strong>the</strong> capability <strong>of</strong> reliably quantifying cTnI in<br />

normal individuals, with a LoD well below <strong>the</strong> lowest normal sample tested. These<br />

data suggest <strong>the</strong> assay could represent an advance in sensitivity relative to current<br />

high-sensitivity cTnI methods, and could be a new enabling tool for high definition<br />

cTnI measurement.<br />

B-220<br />

Multicentre analytical comparison between Abbott ARCHITECT<br />

STAT cTnI and hsTnI assays<br />

P. Kavsak 1 , L. Clark 1 , R. Pickersgill 2 , J. Beattie 3 , E. Millar 1 , M. Napoleone 2 ,<br />

N. Caruso 3 , A. Don-Wauchope 1 . 1 Juravinski Hospital and Cancer Centre,<br />

Hamilton, ON, Canada, 2 St. Joseph’s Healthcare, Hamilton, ON, Canada,<br />

3<br />

Hamilton General Hospital, Hamilton, ON, Canada<br />

BACKGROUND: An important aspect for laboratories considering switching to a<br />

high-sensitivity cardiac troponin (hs-cTn) assay is <strong>the</strong> analytical agreement between<br />

<strong>the</strong> same manufacturer’s contemporary cTn assay and <strong>the</strong> new hs-cTn assay across<br />

different platforms and sites. We assessed agreement and imprecision between<br />

<strong>the</strong> Abbott ARCHITECT STAT cTnI (contemporary) and <strong>the</strong> hsTnI assays in a<br />

multicentre setting.<br />

METHODS: Method comparison between cTnI and hsTnI assays was performed on<br />

20 different pooled EDTA plasma samples analyzed at 3 different hospitals (A,B,C)<br />

on 4 instruments (A-site:2x16200; B-site:1x8200, C-site:1x8200). The agreement<br />

amongst platforms was assessed by averaging <strong>the</strong> results obtained for each sample<br />

and subtracting each instrument result from <strong>the</strong> average and <strong>the</strong>n dividing <strong>the</strong> absolute<br />

difference by <strong>the</strong> average result to obtain a %difference. The average cTnI and hsTnI<br />

concentrations from <strong>the</strong> 20 samples were also subjected to Passing&Bablok regression<br />

analysis. The analytical imprecision (over 2-months) was determined using an inhouse<br />

manufactured low cTnI pooled material for both assays as well as Abbott’s low<br />

QC material for <strong>the</strong> hsTnI assay.<br />

RESULTS: The average %difference in concentrations <strong>of</strong> <strong>the</strong> 20 samples across <strong>the</strong> 4<br />

platforms (80 results; range=5-162ng/L) was 3.1% (%difference range=0.0-8.7%) for<br />

hsTnI as compared to 30.4% (%difference range=0-300%) for <strong>the</strong> contemporary cTnI<br />

assay (80 results; range=0-122ng/L). The hsTnI concentrations were approximately<br />

1/3 rd higher than cTnI (see Figure). The in-house low QC material weighted average<br />

concentration (n=574) for cTnI was 32ng/L with <strong>the</strong> CV(pooled)=15.1%. The same<br />

material weighted average concentration (n=289) for hsTnI was 42ng/L with <strong>the</strong><br />

CV(pooled)=4.89%. Over <strong>the</strong> same time period we also assessed 3 different low QC<br />

lots manufactured by Abbott with <strong>the</strong> hsTnI and obtained a CV(pooled)=4.91% on <strong>the</strong><br />

weighted average concentration <strong>of</strong> 19ng/L (n=267).<br />

CONCLUSIONS: The Abbott hsTnI assay is more analytically sensitive, precise<br />

and comparable at concentrations near <strong>the</strong> 99 th percentile when compared to <strong>the</strong> cTnI<br />

assay.<br />

B-221<br />

Clinical Evaluation <strong>of</strong> a New Point-<strong>of</strong>-Care Device for Rapid and<br />

Accurate Measurement <strong>of</strong> Troponin I and NT-proBNP in Whole Blood<br />

or Plasma: The Samsung LABGEO IB10<br />

S. C. Kazmierczak, D. E. Kazmierczak, B. Heaphy. Oregon Health &<br />

Science University, Portland, OR<br />

Background: Rapid and accurate measurement <strong>of</strong> troponin and BNP in patients<br />

presenting with chest pain is critical for ensuring that <strong>the</strong> appropriate diagnosis, triage<br />

and treatment <strong>of</strong> patients can be implemented as soon as possible. It has now become<br />

<strong>the</strong> standard <strong>of</strong> care to perform <strong>the</strong>se measurements in <strong>the</strong> point-<strong>of</strong>-care (POC)<br />

setting due to <strong>the</strong> extended test turnaround times <strong>of</strong>ten associated with measurements<br />

performed in <strong>the</strong> central laboratory.<br />

Methods: We performed a pilot evaluation <strong>of</strong> <strong>the</strong> LABGEO IB10 by Samsung using<br />

samples obtained from patients presenting to <strong>the</strong> emergency department with signs<br />

and symptoms suggestive <strong>of</strong> acute myocardial infarction. We obtained remainder<br />

whole blood samples from patients that had been originally collected for measurement<br />

<strong>of</strong> troponin I using <strong>the</strong> Abbott i-STAT®. Immediately after measurement using <strong>the</strong><br />

i-STAT, whole blood was used to measure troponin I and NT-proBNP using <strong>the</strong><br />

LABGEO IB10. Next, <strong>the</strong> whole blood sample was processed to obtain plasma<br />

and <strong>the</strong> plasma was used to measure troponin I and NT-proBNP on <strong>the</strong> LABGEO<br />

IB10and <strong>the</strong> Siemens Vista® analyzer. All whole blood and plasma measurements<br />

were completed within 90 minutes following collection.<br />

Results: Troponin I was measured in whole blood using <strong>the</strong> i-STAT and LABGEO<br />

IB10and plasma troponin I was measured using <strong>the</strong> LABGEO IB10and Siemens Vista<br />

analyzers. LABGEO values < 0.05 ng/mL and Vista values < 0.015 were plotted as<br />

0.00. Whole blood troponin measured using <strong>the</strong> i-STAT and LABGEO IB10 showed<br />

slope, intercept and r2 values <strong>of</strong> 1.722, 0.1796 and 0.6245, respectively. Better<br />

correlation for troponin I was observed between <strong>the</strong> Siemens Vista and <strong>the</strong> LABGEO<br />

IB10using plasma where slope, intercept and r2 values <strong>of</strong> 1.3643, -0.4052 and 0.8846,<br />

respectively, were obtained. Correlation <strong>of</strong> plasma NT-proBNP measured using <strong>the</strong><br />

Siemens Vista and NT-proBNP using <strong>the</strong> LABGEO IB10showed slope, intercept and<br />

r2 values <strong>of</strong> 0.8486, 192.55 and 0.667, respectively. Measurement <strong>of</strong> troponin and<br />

NT-proBNP in whole blood and plasma using <strong>the</strong> LABGEO IB10showed excellent<br />

agreement with r2 values <strong>of</strong> 0.9744 and 0.963, respectively<br />

Conclusions: We found that <strong>the</strong> <strong>the</strong> LABGEO IB10POC analyzer produced rapid and<br />

accurate measurement <strong>of</strong> troponin I and NT-proBNP in whole blood and plasma in a<br />

POC setting. Troponin showed better correlation with <strong>the</strong> central laboratory compared<br />

with <strong>the</strong> i-STAT analyzer.<br />

B-222<br />

Differentiation <strong>of</strong> urinary thromboxane metabolites using LC-MS/MS<br />

explains <strong>the</strong> discordance with <strong>the</strong> AspirinWorks ELISA: implications<br />

for monitoring aspirin response.<br />

N. V. Tolan, A. J. Lueke, C. K. Koch, A. V. Gray, A. S. Jaffe, B. S. Karon,<br />

A. K. Saenger. Mayo Clinic, Rochester, MN<br />

Introduction: Measurement <strong>of</strong> urinary 11-dehydro-thromboxane B 2<br />

(11D-TXB2),<br />

<strong>the</strong> putative stabile metabolite <strong>of</strong> thromboxane A 2<br />

, allows for assessment <strong>of</strong> aspirin<br />

responsiveness. Elevated 11D-TXB2 concentrations for patients on daily aspirin<br />

<strong>the</strong>rapy is potentially indicative <strong>of</strong> persistent platelet activation and increased<br />

cardiovascular risk. However, clinical outcome differences have been observed<br />

across trials utilizing various urinary thromboxane assays. We developed a LC-MS/<br />

MS method to quantitate multiple thromboxane metabolites to determine whe<strong>the</strong>r<br />

additional metabolites beyond 11D-TXB 2<br />

are detected by <strong>the</strong> FDA approved ELISA<br />

method for monitoring aspirin response.<br />

Methods: We modified our clinical urine 11D-TXB2 LC-MS/MS method to include<br />

quantitation <strong>of</strong> two additionally relevant metabolites <strong>of</strong> thromboxane A 2<br />

: 11-dehydro-<br />

2,3-dinor-thromboxane B 2<br />

(11D-2,3D-TXB2) and 2,3-dinor-thromboxane B 2<br />

(2,3D-TXB2). In this method, acidified urine samples (pH 2.0±0.2) are spiked with d 4<br />

-<br />

TXB2 IS (Cayman Chemical) and ACN is added prior to on-line SPE (Cyclone MAX<br />

TurboFlow, Thermo <strong>Scientific</strong>) and LC separation (C-18 XBridge, Waters Corp.).<br />

Metabolites were monitored by tandem mass spectrometry (AB Sciex API 5000<br />

MS/MS) in negative MRM mode using <strong>the</strong> following transitions: m/z 371.2/165.1<br />

(d 4<br />

-11D-TXB2), 367.2/161.2,305.2 (11D-TXB2), 339.2/137.1,115.1 (11D-2,3D-<br />

TXB2) and 341.2/141.0,167.0 (2,3D-TXB2). Measurement <strong>of</strong> urinary thromboxane<br />

was also performed by manual competitive monoclonal ELISA (AspirinWorks,<br />

Corgenix). Final thromboxane concentrations were normalized to creatinine (pg/mg<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A237


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

cr). Analytical performance characteristics were established and included precision,<br />

analytical sensitivity, analytical specificity, linearity and recovery/accuracy. Urinary<br />

thromboxane was measured by ELISA and each metabolite was differentially<br />

quantitated by LC-MS/MS for 40 healthy volunteers not on aspirin <strong>the</strong>rapy and 16<br />

donors taking daily aspirin. Results were evaluated using Bland-Altman plots and<br />

linear regression analysis.<br />

Results: LC-MS/MS intra-assay precision (n=20) was


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Conclusions:<br />

Patients who were classified as MI4a according to <strong>the</strong> 2nd versus <strong>the</strong> 3rd universal<br />

definition <strong>of</strong> myocardial infarction do not differ to a high degree regarding <strong>the</strong><br />

course <strong>of</strong> copeptin-values and thus, <strong>the</strong> new MI- definition does not select a subset<br />

<strong>of</strong> patient with more intense periprocedural hemodynamic changes. In addition,<br />

<strong>the</strong> old classification captured more patients with rehospitalization. MI4a needs to<br />

be investigated fur<strong>the</strong>r with respect to a more accurate definition and its prognostic<br />

meaning.<br />

Conclusion: Troponin elevation in chest pain patients without a final diagnosis <strong>of</strong><br />

AMI occur in 1.9-5.5% <strong>of</strong> patients. Agreement between methods is poor for low<br />

level elevations. Clinicians need to interpret small elevations <strong>of</strong> cardiac troponin with<br />

caution but <strong>the</strong>y carry a good short term prognosis.<br />

B-231<br />

Liquid Assays for <strong>the</strong> Measurement <strong>of</strong> CK and CK-MB on <strong>the</strong> RX<br />

monaco Analyser<br />

P. McGivern, H. Johnston, P. Armstrong, J. Campbell, S. P. Fitzgerald.<br />

Randox Laboratories, Crumlin, United Kingdom<br />

B-230<br />

The incidence <strong>of</strong> troponin elevation in non AMI patients in <strong>the</strong><br />

unselected emergency room population.<br />

P. O. Collinson 1 , D. Gaze 1 , S. Goodacre 2 . 1 St George’s Hospital, London,<br />

United Kingdom, 2 University <strong>of</strong> Sheffi eld, Sheffi eld, United Kingdom<br />

Objective: To compare <strong>the</strong> incidence <strong>of</strong> troponin elevation in <strong>the</strong> non AMI population<br />

when more sensitive troponin assays are used for <strong>the</strong> diagnosis <strong>of</strong> myocardial<br />

infarction using <strong>the</strong> universal definition <strong>of</strong> myocardial infarction.<br />

Methods: The study was a sub study <strong>of</strong> <strong>the</strong> point <strong>of</strong> care arm <strong>of</strong> <strong>the</strong> RATPAC trial<br />

(Randomised Assessment <strong>of</strong> Treatment using Panel Assay <strong>of</strong> Cardiac markers), set in<br />

<strong>the</strong> emergency departments <strong>of</strong> six hospitals. Prospective admissions with chest pain<br />

and a non-diagnostic electrocardiogram were randomised to point <strong>of</strong> care assessment<br />

or conventional management. Blood samples were taken on admission and 90 minutes<br />

from admission for measurement <strong>of</strong> a panel <strong>of</strong> cardiac markers. An additional blood<br />

sample was taken at admission and 90 minutes from admission, separated and <strong>the</strong><br />

serum stored frozen until subsequent analysis. Samples were analysed for cardiac<br />

troponin I (cTnI) by<br />

<strong>the</strong> Stratus CS (CS) (Siemens Healthcare Diagnostics), range 30-50,000 ng/L 10%<br />

CV 60ng/L 99 th percentile 70 ng/L; <strong>the</strong> Beckman AccuTnI enhanced (B) (Access 2 ,<br />

Beckman-Coulter) range 1 - 100,000 ng/L, 10% CV 30 ng/L, 99 th percentile 40 ng/L,<br />

<strong>the</strong> Siemens Ultra (S) (ADVIA Centaur, Siemens Healthcare Diagnostics), range.6 -<br />

50,000 ng/L, 10% CV 30 ng/L 99 th percentile 50 ng/L. and cardiac troponin T (cTnT)<br />

by <strong>the</strong> Roche high sensitivity cardiac troponin T assay hs-cTnT (Elecsys 2010, Roche<br />

diagnostics), range 3 - 10,000ng/L, 10% CV 13ng/L, 99 th percentile 14 ng/L.<br />

The universal definition <strong>of</strong> myocardial infarction utilising laboratory measurements<br />

<strong>of</strong> cardiac troponin performed at <strong>the</strong> participating sites toge<strong>the</strong>r with measurements<br />

performed in a core laboratory was used for diagnosis. All patients were followed<br />

up for 3 months for major adverse cardiac events death, myocardial infarction,<br />

readmission with unstable angina or need for urgent revascularisation (MACE).<br />

Results: Samples were available from 838/1132 patients enrolled in <strong>the</strong> study. 782<br />

patients had a final diagnosis that excluded myocardial infarction. MACE occured in<br />

7 patients. The number <strong>of</strong> patients with at least one elevated troponin for each method<br />

was as follows, cTnI CS (>70 ng/L) 24 (3.1%) no MACE, cTnI S (>50 ng/L) 24<br />

(3.1%) 1 MACE, cTnI B (>40 ng/L) 15 (1.9%) no MACE and for cTnT (>14 ng/L) 43<br />

(5.5%) no MACE. Troponin elevation did not predict MACE. All four methods were<br />

elevated in 3 patients, two with marked elevation due to myocarditis.<br />

Introduction: The creatine kinase (CK) is a widespread enzyme that is part <strong>of</strong> <strong>the</strong><br />

metabolic process and energy creation. It occurs as three different isoenzymes,<br />

each composed <strong>of</strong> two polypeptide chains: B and M. Elevated levels <strong>of</strong> CK usually<br />

reflect injury or stress to <strong>the</strong> brain, heart or skeletal muscle. Following injury to <strong>the</strong><br />

myocardium, such as in acute myocardial infarction, CK is released from <strong>the</strong> damaged<br />

myocardial cells and this is reflected by increased serum levels. The isoenzyme CK-<br />

MB is produced by <strong>the</strong> heart muscle and its determination is an important element in<br />

<strong>the</strong> diagnosis <strong>of</strong> myocardial ischemia.<br />

Relevance: This study reports <strong>the</strong> development <strong>of</strong> two assay kits with enhanced<br />

precision and assay range for <strong>the</strong> measurement <strong>of</strong> CK and CK-MB in serum and<br />

plasma. This is applicable to <strong>the</strong> fully automated bench top/floor standing continuously<br />

loading RX monaco analyser to facilitate <strong>the</strong> diagnosis <strong>of</strong> myocardial ischemia.<br />

Methodology: The CK assay principle is an optimized standard method according to<br />

<strong>the</strong> concentrations recommended by <strong>the</strong> IFCC. The CK-MB assay principle is based<br />

upon that <strong>of</strong> an immunoinhibition assay as an antibody is incorporated into <strong>the</strong> CK<br />

reagent. This binds to and inhibits <strong>the</strong> activity <strong>of</strong> <strong>the</strong> M subunit <strong>of</strong> CK MB meaning<br />

that only <strong>the</strong> activity <strong>of</strong> <strong>the</strong> B subunit is measured via <strong>the</strong> Total CK assay UV test<br />

principle.<br />

For both assays on <strong>the</strong> RX monaco <strong>the</strong> first result is generated after 14 minutes.<br />

The reagents for both assays are liquid and ready to use. On-board and calibration<br />

stabilities were tested by storing two lots <strong>of</strong> reagent uncapped on <strong>the</strong> RX monaco<br />

analyser for a period <strong>of</strong> 28 days. Within-run and total precision were assessed by<br />

testing serum samples at defined medical decision levels, 2 replicates twice a day for<br />

20 days. A correlation study was conducted using commercially available CK and<br />

CK-MB assays.<br />

Results: The CK and CK-MB reagents present on-board and calibration stabilities<br />

<strong>of</strong> 28 and 21 days respectively. The assays were found to be functionally sensitive<br />

to 8.1U/L and 15.5UL for CK and CK-MB respectively and be linear up to 2097U/L<br />

and 2289U/L, CK and CK-MB respectively. The within-run and total precision for<br />

three different concentration levels typically had %C.V.’s <strong>of</strong> ≤6.0% and ≤7.1% for CK<br />

and CK-MB respectively. In <strong>the</strong> CK correlation study 41 serum patient samples were<br />

tested and <strong>the</strong> following linear regression equation was equation was achieved versus<br />

a commercially available assay: Y = 1.06x - 4.41; r = 1.00. In <strong>the</strong> CK-MB correlation<br />

study 43 serum patient samples were tested and <strong>the</strong> following linear regression<br />

equation was equation was achieved versus a commercially available assay: Y = 1.02x<br />

- 1.11; r = 1.00.<br />

Conclusion: Both assay kits exhibit good sensitivity and reproducibility with <strong>the</strong><br />

added advantage <strong>of</strong> being fully comprised <strong>of</strong> liquid components with good stability.<br />

This is <strong>of</strong> value for <strong>the</strong> rapid and accurate determination <strong>of</strong> <strong>the</strong>se analytes in human<br />

serum/ plasma for clinical applications.<br />

B-233<br />

Diagnostic value <strong>of</strong> CKMB for <strong>the</strong> determination <strong>of</strong> myocardial<br />

infarction in patients with cardiac troponin I concentrations in <strong>the</strong><br />

gray zone<br />

Y. Zhu, J. Pellicier, R. Allen Jr.,, B. D. Horne. Medical University <strong>of</strong> South<br />

Carolina, Charleston, SC<br />

Background: Currently, <strong>the</strong> preferred biomarker for myocardial necrosis is cardiac<br />

troponins (I or T) due to its high clinical sensitivity and high myocardial tissue<br />

specificity. However, many clinicians still order both troponins and MB fraction <strong>of</strong><br />

creatine kinase (CKMB) for <strong>the</strong> diagnosis <strong>of</strong> myocardial infarction (MI), although<br />

serial cardiac troponin testing is recommended. The major reason is that troponins<br />

may not be specific for MI when <strong>the</strong> 99th percentile <strong>of</strong> troponin concentration is used<br />

as <strong>the</strong> upper reference limit (URL), because many patients with o<strong>the</strong>r conditions<br />

may have elevations <strong>of</strong> troponins in <strong>the</strong> absence <strong>of</strong> overt ischemic heart disease. The<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A239


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Cardiac Markers<br />

objective <strong>of</strong> this study is to determine if CKMB measurement can be used to improve<br />

<strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> diagnosis <strong>of</strong> MI for patients with elevated cardiac troponin I (cTnI)<br />

but with levels that are less than <strong>the</strong> cut<strong>of</strong>f value for <strong>the</strong> diagnosis <strong>of</strong> MI according to<br />

<strong>the</strong> traditional WHO definition.<br />

Methods: cTnI was measured with a 3-site sandwich immunoassay using <strong>the</strong> direct<br />

chemiluminometric technology on <strong>the</strong> ADVIA Centaur® system (SIEMENS). The<br />

URL was 0.06 ng/mL and <strong>the</strong> cut<strong>of</strong>f value for MI according to <strong>the</strong> WHO definition<br />

was 0.78 ng/mL. CKMB was also measured on <strong>the</strong> ADVIA Centaur® system and<br />

<strong>the</strong> URL was 5 ng/mL. One hundred and forty five patients with cTnI concentrations<br />

between 0.06 and 0.78 ng/mL (gray zone) were included in <strong>the</strong> study. The final<br />

diagnosis was obtained from <strong>the</strong> discharge summary in <strong>the</strong> patients’ chart.<br />

Results: Of 145 patients, 16 were diagnosed as MI and 129 non-MI. Twenty four<br />

patients showed CKMB greater than 5 ng/mL, <strong>of</strong> which 2 had MI and 22 were non-MI<br />

patients. Of 16 patients with MI, 2 had elevated CKMB concentrations, and <strong>of</strong> 129<br />

patients with non-MI, 22 showed abnormal CKMB levels. According to <strong>the</strong>se results,<br />

<strong>the</strong> diagnostic sensitivity <strong>of</strong> CKMB for MI in patient with TnI in <strong>the</strong> gray zone was<br />

12.5% with a positive predictive value <strong>of</strong> 8.3%. The diagnostic specificity <strong>of</strong> CKMB<br />

for MI in patient with TnI in <strong>the</strong> gray zone was 82.9% with a negative predictive<br />

value <strong>of</strong> 88.4%.<br />

Conclusion: Due to very low sensitivity and positive predictive value <strong>of</strong> CKMB test,<br />

it cannot be used for <strong>the</strong> diagnosis <strong>of</strong> MI for patients with cTnI in <strong>the</strong> gray zone.<br />

However, <strong>the</strong> specificity and negative predictive values are high. Therefore, it may be<br />

used to rule out MI for patients with cTnI in <strong>the</strong> gray zone.<br />

B-234<br />

Monoclonal antibodies for detection <strong>of</strong> retinol-binding protein 4 in<br />

human urine samples<br />

V. Filatov 1 , K. Muhariamova 1 , A. Klimenko 2 , S. Avdoshina 2 , O. Antipova 3 ,<br />

A. Bereznikova 1 , A. Kara 3 , A. Katrukha 1 . 1 HyTest Ltd, Turku, Finland,<br />

2<br />

Peoples Friendship University <strong>of</strong> Russia, Moscow, Russian Federation,<br />

3<br />

School <strong>of</strong> Biology, Moscow State University, Moscow, Russian Federation<br />

Background: Acute kidney injury (AKI) is increasingly recognized as life-threatening<br />

pathology closely associated with metabolic syndrome and cardiovascular diseases.<br />

Current kidney biomarkers such as creatinine and blood urea nitrogen were proved<br />

to be not satisfactory in clinical setting for AKI diagnosis due to <strong>the</strong> late appearance<br />

in serum and lack <strong>of</strong> specificity. New generation <strong>of</strong> biomarkers has begun to be<br />

introduced into clinical practice. Among those new biomarkers is retinol-binding<br />

protein 4 (RBP4).<br />

Retinol-binding protein 4 is a low-molecular weight protein which participates<br />

in transport <strong>of</strong> retinol in <strong>the</strong> bloodstream. Serum RBP4 is known to be complexed<br />

(at least partly) with transthyretin. Recently it was shown that RBP may serve as a<br />

biomarker <strong>of</strong> loss <strong>of</strong> kidney function in acute kidney injury. RBP4 appears quite early<br />

both in serum and urine upon kidney injury <strong>the</strong>refore serving as early biomarker <strong>of</strong><br />

kidney damage.<br />

The objective <strong>of</strong> <strong>the</strong> study was to develop human RBP4-specific monoclonal<br />

antibodies capable <strong>of</strong> detecting RBP4 in urine samples <strong>of</strong> patients with kidney injury.<br />

Methods: Using recombinant RBP4 as an immunogen, we developed 6 murine<br />

monoclonal antibodies (MAbs) specific to human RBP4. All antibodies were labeled<br />

by stable Eu3+ chelate and were tested in pairs to form two-site combinations suitable<br />

for <strong>the</strong> development <strong>of</strong> sandwich fluoroimmunoassay. Assay was calibrated using<br />

native human RBP4 (HyTest, Finland).<br />

Preliminary clinical studies were conducted on urine samples from patients with<br />

cardiorenal syndrome type 1 and 2. Urine samples from 25 patients with cardiorenal<br />

syndrome and from 15 apparently healthy controls were analyzed using MAb RB48-<br />

MAb RB49 fluoroimmunoassay.<br />

Results: RBP4-specific antibodies were shown to have epitopes in three distinct<br />

epitope groups. All MAbs were shown to be able to recognize both free and<br />

transthyretin-complexed RBP4 purified from human serum. Two-site MAb<br />

combination utilizing MAb RB48 (capture) and MAb RB49 (detection) was selected<br />

for <strong>the</strong> fur<strong>the</strong>r evaluations based on sensitivity data. In-vitro study have demonstrated<br />

that MAb RB48-MAb RB49 pair detected RBP4 with sensitivity 0.7 ng/ml.<br />

To our knowledge, it is <strong>the</strong> first study aimed to measure urine RBP4 in patients with<br />

cardiorenal syndrome. RBP4 urine levels in healthy persons were shown to be 5.2±3.1<br />

ng/ml, which is in good accordance with previously published studies. However, in<br />

patients with cardiorenal syndrome RBP4 levels varied. For some patients, RBP4<br />

concentration was same as in control group, whereas o<strong>the</strong>rs demonstrated very<br />

high RBP4 levels up to 350 ng/ml. High variability <strong>of</strong> RBP4 levels in patients with<br />

cardiorenal syndrome may be explained, at least in part, by different uremia levels <strong>of</strong><br />

patients and/or by comorbidities <strong>of</strong> patients affecting kidney function.<br />

Conclusion: We developed monoclonal antibodies recognizing human RBP4 in<br />

sandwich fluoroimunoassay with good sensitivity. Pilot clinical study showed<br />

applicability <strong>of</strong> MAb RB48-MAb RB49 fluoroimmunoassay for detecting RBP4<br />

in urine samples <strong>of</strong> patients with cardiorenal syndrome type 1 and type 2 as well<br />

as healthy controls. Additional studies aimed to clarify <strong>the</strong> clinical utility <strong>of</strong> RBP<br />

measurements in <strong>the</strong> urine <strong>of</strong> patients with cardiorenal syndrome are needed.<br />

B-235<br />

Effect <strong>of</strong> Short-Term Storage Conditions on Cardiac Troponin I<br />

Stability as measured by <strong>the</strong> Abbott ARCHITECT STAT TnI assay<br />

A. Rezvanpour 1 , L. Clark 2 , B. Mallory 2 , E. Millar 2 , L. Ford 2 , P. Kavsak 1 .<br />

1<br />

McMaster University, Hamilton, ON, Canada, 2 Hamilton Health Sciences,<br />

Hamilton, ON, Canada<br />

Background: Analytical (i.e., CV>20% at <strong>the</strong> 99 th percentile) or pre-analytical<br />

(i.e., different tube-types) factors may lead to inappropriate interpretation <strong>of</strong> cardiac<br />

troponin (cTn). Ano<strong>the</strong>r important pre-analytical factor is in vitro stability <strong>of</strong> cTn, as<br />

delays in laboratory testing or repeats may pose significant risk if an unacceptable<br />

degradation <strong>of</strong> cTn occurs, with <strong>the</strong> corresponding result being falsely lower. Here, we<br />

assessed <strong>the</strong> stability <strong>of</strong> cTnI concentrations as measured by <strong>the</strong> Abbott ARCHITECT<br />

STAT TnI assay under different conditions and over different timeframes.<br />

Methods: Eleven EDTA-plasma pool samples (<strong>of</strong>f-cell) were collected. Baseline<br />

plasma cTnI concentrations (range:0.05-28.30ug/L) were measured using <strong>the</strong><br />

ARCHITECT STAT Troponin I assay. The samples were <strong>the</strong>n refrigerated (2-8°C)<br />

and re-analyzed after 15 and 72h. To test <strong>the</strong> on-cell stability <strong>of</strong> cTnI, three EDTAblood<br />

tubes (tube1=0.07ug/L;tube2=0.19ug/L;tube3=17.75ug/L) were split into two<br />

aliquots and centrifuged (plasma not separated). Following <strong>the</strong> baseline measurement,<br />

<strong>the</strong> first aliquot <strong>of</strong> each sample was stored at 2-8°C and <strong>the</strong> second at room temperature<br />

(RT). Fur<strong>the</strong>r analysis <strong>of</strong> <strong>the</strong> samples was carried out at 3, 6, and 24h post-storage.<br />

Stability was confirmed if <strong>the</strong> subsequent cTnI concentrations were


Cardiac Markers<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

major cause <strong>of</strong> death in CKD patients. Apart from traditional and new CVD markers,<br />

in CKD patient, <strong>the</strong>re has been increasing concern about extraskeletal ossification<br />

especially vascular ossification. Many studies suggest product <strong>of</strong> serum calcium and<br />

phosphorus (ca x po4) as its marker. So, aim <strong>of</strong> this study was to assess <strong>the</strong> utility <strong>of</strong><br />

ca x po4 in prediction <strong>of</strong> CVD in predialysis CKD patients.<br />

Methods: This cross-sectional study, conducted in Tribhuvan University Teaching<br />

Hospital, Nepal included 150 pre-dialysis CKD patients and 150 healthy controls<br />

(75 male and 75 female both), with mean±SD estimated Glomerular Filtration Rate<br />

(eGFR) 18.1±7.9 & 91.2±16.2 ml/min respectively. CKD was defined as per National<br />

Kidney Foundation-Kidney Disease Outcome for Quality Initiative (NKF-KDOQI)<br />

guideline and GFR was estimated by revised MDRD formula. We measured various<br />

biochemical analytes and CVD markers in fasting blood, corrected calcium for<br />

albumin & performed electrocardiogram. CVD risk was measured by traditional and<br />

CKD related CVD risk factors, presence <strong>of</strong> multiple risk factors (NCEP-ATP III) and<br />

Framingham risk score. Data were analyzed using Chi-square test, t-test, ANOVA and<br />

logistic regression. P-value <strong>of</strong>


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Technology/Design Development<br />

B-240<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Technology/Design Development<br />

Analytical Performance Testing <strong>of</strong> VITROS® Immunodiagnostic<br />

Systems Assays* for Aβ42 Peptide and Tau Protein<br />

P. Contestable 1 , I. Baburina 2 , G. Green 3 , H. Soares 4 , S. Jackson 1 , K.<br />

Ackles 1 , A. Tweedie 1 , L. DiMagno 1 , D. Byrne 1 , D. Kozo 2 , J. Courtney 2 ,<br />

S. Salamone 2 . 1 Ortho Clinical Diagnostics, Rochester, NY, 2 Saladax<br />

Biomedical, Inc., Bethlehem, PA, 3 Bristol-Myers Squibb, Princeton, NJ,<br />

4<br />

Bristol-Myers Squibb, Wallingford, CT<br />

Background: Evaluation <strong>of</strong> cerebrospinal fluid (CSF) biomarkers in Alzheimer’s<br />

disease (AD) is increasingly more important for improving <strong>the</strong> certainty <strong>of</strong> antemortem<br />

diagnosis <strong>of</strong> AD, ensuring proper patient management. Use <strong>of</strong> such markers for<br />

clinical purposes, in conjunction with potential disease-modifying <strong>the</strong>rapies, requires<br />

assays that can deliver high analytical and clinical performance. Two biomarkers, beta<br />

amyloid1-42 (Aβ42) and tau have been shown to correlate with disease progression.<br />

This study reports <strong>the</strong> analytical performance <strong>of</strong> <strong>the</strong> VITROS® Immunodiagnostic<br />

Products Amyloid Beta 42 (AB-42) assay and VITROS® Immunodiagnostic Products<br />

Tau assay currently under development.<br />

Methods: VITROS AB-42 and Tau assays are being developed for <strong>the</strong> VITROS<br />

Immunodiagnostic Systems. Analytical performance was evaluated following CLSI<br />

guidelines using two VITROS AB-42 and two VITROS Tau assay reagent lots, three<br />

CSF pools, and three controls with each assay. Linearity was tested with 11 admixtures<br />

<strong>of</strong> endogenous Aβ42 or tau in CSF and syn<strong>the</strong>tic Aβ42 or recombinant tau 441 in a<br />

buffer based matrix. Interference testing included commonly prescribed drugs, o<strong>the</strong>r<br />

Aβ peptides, recombinant tau and endogenous substances. Limit <strong>of</strong> detection (LoD)<br />

and lower limit <strong>of</strong> quantitation were confirmed with 20 replicates per day on three<br />

days for each assay. Fifty individual CSF samples were run in singleton with two lots<br />

<strong>of</strong> reagent for each <strong>of</strong> <strong>the</strong> assays on <strong>the</strong> VITROS® ECiQ and VITROS®<br />

3600 Immunodiagnostic Systems to evaluate lot-to-lot and system-to-system<br />

variability. The results from <strong>the</strong> VITROS 3600 using Lot 1 reagent for each assay<br />

were used as <strong>the</strong> control condition and linear regression was performed.<br />

Results: The within-laboratory coefficient <strong>of</strong> variation (CV) for <strong>the</strong> three CSF pools<br />

and control fluids ranged from 1.3% to 8.2% for VITROS AB-42 and from 2.4% to<br />

4.0% for VITROS Tau. Both assays showed good linearity across <strong>the</strong> measuring range<br />

(0 to 2,500 pg/mL for VITROS AB-42 and 0 to 8,000 pg/mL for VITROS Tau) with<br />

<strong>the</strong> admixtures <strong>of</strong> endogenous and syn<strong>the</strong>tic peptides. Bias introduced by commonly<br />

prescribed drugs at high levels was


Technology/Design Development<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

reference range, analytical sensitivity, analytical specificity, and specimen stability.<br />

Laboratories are challenged to validate accuracy without having a gold-standard or<br />

predicate method in <strong>the</strong> validation <strong>of</strong> body fluid tests. This work focuses on comparing<br />

<strong>the</strong> assessment <strong>of</strong> accuracy using spiked recovery, dilution recovery, and mixing<br />

recovery to method comparison using <strong>the</strong> gold-standard method for Na, K, and Mg.<br />

Methods: Validation <strong>of</strong> fecal Na, K, and Mg was performed on <strong>the</strong> Roche Cobas<br />

c501 (Roche Diagnostics, Indianapolis,IN) with an ion-specific electrodes (ISE)<br />

module. Validation was performed using residual stool samples submitted for<br />

clinical testing. Formed samples were cancelled for testing and excluded from <strong>the</strong><br />

study. Samples were aliquotted into two tubes after thawing and thorough mixing.<br />

ICP-OES (PerkinElmer, Shelton,CT) aliquots were digested 30 min with 6N HCl,<br />

centrifuged, and <strong>the</strong> supernatant analyzed for Na, K, and Mg. The second aliquot<br />

was centrifuged at 14,000rpm for one hour, and <strong>the</strong> supernatant analyzed on a Roche<br />

Cobas c501 using MG2 reagent (Mg) and indirect ISE (Na,K). Spike recovery was<br />

performed using standard solutions <strong>of</strong> KH 2<br />

PO 4<br />

or MgSO 4<br />

( 0.999). The migration time <strong>of</strong> methamphetamine<br />

was 14.4 min (D) and 15 min (L). Highly precise run-to-run separations were obtained<br />

and migration shifts were corrected using <strong>the</strong> internal standard migration time. This<br />

technique was applied to <strong>the</strong> identification <strong>of</strong> methamphetamine stereoisomers in<br />

98 patient urine samples. Samples were first run on a LC-MS/MS to confirm <strong>the</strong><br />

presence <strong>of</strong> methamphetamine. Results showed that 81% <strong>of</strong> <strong>the</strong> samples contained<br />

D-methamphetamine, <strong>the</strong> illicit stereoisomer.<br />

Conclusion:The robust CE-MS method developed here permits <strong>the</strong> separation and<br />

quantification <strong>of</strong> illegal and legal methamphetamines.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A243


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Technology/Design Development<br />

B-246<br />

Performance evaluation <strong>of</strong> a novel high-risk Human Papilloma Virus<br />

Genotyping test (Clinichip HPVTM)<br />

H. Yamada, Y. Tabe, K. Ishii, Y. Terao, S. Takeda, T. Horii, A. Ohsaka.<br />

Juntendo University Hospital, Tokyo, Japan<br />

B-245<br />

High-Throughput Measurement <strong>of</strong> Serum Glucose in <strong>the</strong> Clinical<br />

Laboratory by NMR<br />

J. Wolak-Dinsmore, I. Shalaurova, T. O’Connell, J. Otvos. LipoScience,<br />

Raleigh, NC<br />

Background: The diagnosis <strong>of</strong> diabetes and pre-diabetes has long relied upon <strong>the</strong><br />

accurate and precise measurement <strong>of</strong> blood glucose levels. A blood glucose assay<br />

has been developed using nuclear magnetic resonance (NMR) technology on <strong>the</strong><br />

Vantera® Clinical Analyzer. This platform is currently used for measurement <strong>of</strong><br />

lipoprotein particle concentrations, but <strong>the</strong> information-rich nature <strong>of</strong> <strong>the</strong> NMR<br />

spectrum enables o<strong>the</strong>r clinically valuable metabolites such as glucose to be measured<br />

in <strong>the</strong> same spectrum. The quantification <strong>of</strong> glucose can be carried out in a highthroughput<br />

fashion using <strong>the</strong> fully automated Vantera Clinical Analyzer.<br />

Methods: The Vantera Clinical Analyzer consists <strong>of</strong> a 400MHz NMR system with<br />

automated fluidics sample handling, data processing and analysis. In this study, 1 H<br />

NMR spectra on fasting serum samples from 46 patients were collected and analyzed<br />

on <strong>the</strong> Vantera Clinical Analyzer. As an orthogonal measurement, glucose was also<br />

measured using a standard chemistry assay implemented on an AU400 Olympus<br />

Analyzer. The NMR spectra were deconvoluted using proprietary modeling s<strong>of</strong>tware<br />

where <strong>the</strong> model consisted <strong>of</strong> reference spectra <strong>of</strong> glucose and serum proteins.<br />

Glucose concentrations were quantified and compared with <strong>the</strong> chemical analysis<br />

results. Precision <strong>of</strong> <strong>the</strong> NMR glucose measurement was determined using three<br />

different serum pools: glucose concentrations were 70, 116 and 185 mg/dL.<br />

Results: A comparison <strong>of</strong> glucose measurements made by NMR vs. chemistry<br />

methodology show an excellent correlation, R=0.997. In addition, precision<br />

measurements on low, medium and high glucose serum pool samples indicate CVs<br />

between 1-2%.<br />

Conclusion:The ability to quantify serum glucose by NMR has been demonstrated<br />

and characterized for clinical samples. These results highlight <strong>the</strong> suitability <strong>of</strong><br />

NMR for high-throughput automated quantification <strong>of</strong> glucose as well as many o<strong>the</strong>r<br />

clinically valuable metabolites.<br />

Background: Persistent infection with carcinogenic human papilloma virus (HPV)<br />

is closely associated with development <strong>of</strong> cervical cancer. The efficient screening<br />

test to detect <strong>the</strong> high-risk HPV is clinically important. A novel DNA test Clinichip<br />

HPV (Sekisui medical, Tokyo, Japan) identifies 13 different high-risk genotypes <strong>of</strong><br />

HPV (types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59 and 68) by loop-mediated<br />

iso<strong>the</strong>rmal amplification (LAMP) and automated DNA chip technology with 2.5<br />

hrs <strong>of</strong> examination time. In this study, <strong>the</strong> performance <strong>of</strong> <strong>the</strong> Clinichip HPV was<br />

evaluated as a screening laboratory test for high-risk HPV infection.<br />

Methods: The Little Genius (Bioer Technology, Hangzhou, P.R.China) and <strong>the</strong><br />

Genelyzer (Toshiba Hokuto Electronics, Tokyo, Japan) were used for <strong>the</strong> Clinichip<br />

HPV assay. A total <strong>of</strong> 118 cervical scrape specimens were obtained from patients. 1) 74<br />

specimens were tested <strong>the</strong>ir genotypes by <strong>the</strong> Clinichip HPV and by a conventionally<br />

employed HPV polymerase chain reaction-restriction fragment length polymorphism<br />

(PCR-RFLP). PCR sequencing was performed in <strong>the</strong> cases with discrepancy <strong>of</strong> results<br />

between Clinichip test and PCR-RFLP. HPV DNA extracts which used to PCR-<br />

RFLP were fur<strong>the</strong>r purified by MinElute PCR Purification Kit (QIAGEN) for <strong>the</strong><br />

Clinichip HPV and PCR sequencing. 2) To determine <strong>the</strong> consistency <strong>of</strong> genotyping<br />

performance, 44 DNA samples extracted from patient specimens have been tested<br />

by <strong>the</strong> Clinichip HPV in <strong>the</strong> different two laboratories. HPV DNA was extracted<br />

by Amplilute liquid media extraction kit (Roche). In <strong>the</strong> cases <strong>of</strong> which results<br />

showed discrepancy between <strong>the</strong> laboratories, DNA extraction was fur<strong>the</strong>r purified<br />

by MinElute PCR Purification Kit, <strong>the</strong>n retested in each laboratories. Finally, PCR<br />

sequencing was performed.<br />

Results: 1) Comparison <strong>of</strong> genotyping by <strong>the</strong> Clinichip HPV and PCR-RFLP assay<br />

resulted in 27% disagreement (20/74 specimens). With regard to detected genotype,<br />

24 genotypes were mismatched between <strong>the</strong> Clinichip HPV and PCR-RFLP. For 19<br />

<strong>of</strong> 24 mismatched genotypes, <strong>the</strong> results <strong>of</strong> PCR sequence were consistent with <strong>the</strong><br />

Clinichip HPV and for <strong>the</strong> o<strong>the</strong>r 5 were consistent with PCR-RFLP. 2) Comparison<br />

<strong>of</strong> <strong>the</strong> results obtained by <strong>the</strong> Clinichip HPV between <strong>the</strong> two different laboratories<br />

resulted in 18% discrepancy (8/44 specimens), mostly observed in <strong>the</strong> cases with<br />

multiple HPV infections. However, 88% <strong>of</strong> mismatched cases (7/8) showed identical<br />

genotypes after fur<strong>the</strong>r DNA purification.<br />

Conclusion: The Clinichip HPV that required highly purified DNA samples provided<br />

more accurate information regarding <strong>the</strong> high-risk HPV genotype than PCR-RFLP.<br />

Although <strong>the</strong> genotyping performance was partially diminished in <strong>the</strong> cases with<br />

multiple HPV infections, <strong>the</strong> Clinichip HPV is a promising laboratory test for<br />

screening high-risk HPV infection.<br />

A244 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Technology/Design Development<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-247<br />

Development <strong>of</strong> an enzymatic assay to measure lactate in perchloric<br />

acid-precipitated whole blood<br />

J. Lu 1 , B. S. Pulsipher 1 , D. G. Grenache 2 . 1 ARUP, Salt Lake City, UT,<br />

2<br />

University <strong>of</strong> Utah, Salt Lake City, UT<br />

Background: Lactate and pyruvate are products <strong>of</strong> glycolysis. Blood pyruvate<br />

concentrations have clinical utility when measured in conjunction with lactate in <strong>the</strong><br />

same sample in order to calculate <strong>the</strong> lactate:pyruvate (L:P) ratio. However, difference<br />

in sample types makes this challenging. Pyruvate is measured in whole blood added to<br />

perchloric-acid and lactate is measured in whole blood or plasma. Utilizing <strong>the</strong> sample<br />

type for pyruvate and lactate assays is desirable.<br />

Objective: To develop a method to measure lactate in perchloric-acid precipitated<br />

whole blood and validate <strong>the</strong> L:P ratio as calculated from <strong>the</strong> analysis <strong>of</strong> both analytes<br />

in <strong>the</strong> same sample.<br />

Methods: Samples were prepared by <strong>the</strong> addition <strong>of</strong> 1 mL heparin or EDTA<br />

whole blood to 2 mL 8% (w/v) cold perchloric acid, incubated on ice for 10 min,<br />

<strong>the</strong>n centrifuged to obtain a protein-free supernatant. Lactate was measured by its<br />

oxidation to pyruvate and hydrogen peroxide using lactate oxidase and <strong>the</strong> absorbance<br />

<strong>of</strong> <strong>the</strong> resulting chromogen determined at 540 nm on a cobas c501 chemistry analyzer.<br />

Sample processing effects, method accuracy, linearity, imprecision, sensitivity,<br />

sample stability, and a reference interval were determined.<br />

Results: Compared to baseline, delayed addition <strong>of</strong> whole blood to perchloric-acid<br />

significantly increased lactate by 24, 56, and 76% at 30, 60, and 120 min, respectively<br />

after collection (p=0.01). Failure to incubate samples on ice for 10 min after collection<br />

or immediately centrifuge after incubation significantly decreased lactate by 23 and<br />

30%, respectively (p


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Technology/Design Development<br />

B-251<br />

Practical Approach to <strong>the</strong> Analytical Validation <strong>of</strong> Chemistry Testing<br />

in Body Fluids<br />

D. T. MEIER, L. J. Ouverson, N. A. Baumann, D. R. Block. MAYO<br />

CLINIC, ROCHESTER, MN<br />

Introduction: Biochemical analysis <strong>of</strong> body fluids lends insight into <strong>the</strong> pathogenesis<br />

<strong>of</strong> disease in a variety <strong>of</strong> clinical conditions. Most commercially available methods<br />

are not FDA-approved for body fluids and <strong>the</strong> onus is on <strong>the</strong> lab to characterize <strong>the</strong><br />

performance <strong>of</strong> <strong>the</strong>se methods to avoid reporting inaccurate results. Limited resources<br />

are available describing how to perform this task. The goal <strong>of</strong> this work is to present<br />

a representative validation <strong>of</strong> lactate dehydrogenase (LDH) in body fluid as a model<br />

for o<strong>the</strong>r laboratories.<br />

Methodology: Residual samples for validation were obtained from clinically ordered<br />

testing. Validation was performed on Roche Cobas c501 (Roche Diagnostics)<br />

analyzers. The 3 most prevalent fluid types were identified retrieving data from <strong>the</strong><br />

laboratory information system (LIS) (1/1/2009-6/30/2009): pleural (58%), abdominal<br />

(13%), and CSF (10%). Intra-assay precision and analytical sensitivity were<br />

determined in a single run (n=20) and inter-assay precision over 20 days (n=20) with<br />

one body fluid type and serum. Spiked recovery was performed to access accuracy<br />

using each fluid type (10% by volume) spiked with elevated serum specimens (n=4).<br />

The mean % recovery (measured/expected) 100+/-10% was considered acceptable.<br />

Analytical specificity was assessed in multiple fluid types (n=10) for hyaluronidase<br />

pretreatment, hemolysis (spiked hemolysate, measured as H-Index), and icterus<br />

(spiked bilirubin, measured as I-Index) at increasing concentrations (


Technology/Design Development<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Samples: The serum and plasma samples were collected from inpatients/outpatients<br />

and <strong>the</strong> employees who volunteered. This study has been approved by <strong>the</strong> ethical<br />

committee in Hamamatsu University School <strong>of</strong> Medicine.<br />

Material and Method: The reagent PANACLEAR MMP-3 “Latex” (Sekisui Medical<br />

Co., Ltd.) and <strong>the</strong> automated clinical chemistry analyzer LABOSPECT 008 (Hitachi)<br />

were used for <strong>the</strong> following evaluations: (1) precision, (2) dilution linearity (2 level <strong>of</strong><br />

MMP-3 samples were diluted with physiological saline) and limit <strong>of</strong> detection (2.6SD<br />

method), (3) interference (evaluated with Interference Check (Sysmex) and ascorbic<br />

acid), (4) correlation with results from JCA-BM1650 (JEOL Ltd.), and (5) probe<br />

contamination test (evaluated on 42 parameters <strong>of</strong> <strong>the</strong> same pre-installed module).<br />

Results: (1) Within-run precision <strong>of</strong> CV (n=20) :1.35 % (Control L; mean 110.9 ng/<br />

mL), 0.78 % (Control H; mean 435.4 ng/mL ), 1.62 % (pooled serum; mean 99.2 ng/<br />

mL) (2) Linearity was up to 1500 ng/mL and limit <strong>of</strong> detection was 9.85 ng/mL. (3)<br />

No influences were observed by bilirubin < 200 mg/L, hemoglobin < 5 g/L, RF < 550<br />

U/mL or ascorbic acid < 500 mg/L in sample. (4) High correlation was noted, with <strong>the</strong><br />

regression formula being y = 0.991x-13.9 and <strong>the</strong> correlation coefficient being 0.985<br />

(N=92). (5) Probe contamination test: No influence by prove contamination test was<br />

noted on any <strong>of</strong> <strong>the</strong> 42 parameters.<br />

Conclusion: PANACLEAR MMP-3 “Latex” with LABOSPECT 008 was shown in<br />

<strong>the</strong> present study as having favorable performance. Wide assay range with linearity<br />

up to 1500 ng/ml is especially convenient because high level MMP-3 samples don’t<br />

require dilution and retesting. Additionally, in couple with LABOSPECT 008, routine<br />

measurement <strong>of</strong> MMP-3 could be easily handled, and real-time reporting could lead<br />

to clinical remission. This reagent could be useful for measuring MMP-3 in clinical<br />

laboratories.<br />

B-255<br />

GlycA and GlycB: Novel NMR Markers <strong>of</strong> Systemic Inflammation<br />

J. Otvos, I. Shalaurova, J. Wolak-Dinsmore, S. Matyus. LipoScience,<br />

Raleigh, NC<br />

Background: Serum concentrations <strong>of</strong> many glycosylated acute-phase proteins such<br />

as C-reactive protein (CRP) and fibrinogen are used clinically to assess and monitor<br />

both acute and chronic inflammation. Serum NMR spectra obtained for lipoprotein<br />

particle analysis using <strong>the</strong> automated NMR Pr<strong>of</strong>iler system contain two NMR signals<br />

originating from N-acetyl methyl group protons on <strong>the</strong> N- and O-linked glycans <strong>of</strong><br />

serum glycoproteins. One, that we named GlycA, comes from N-acetylglucosamine<br />

and N-acetylgalactosamine and <strong>the</strong> o<strong>the</strong>r, GlycB, from sialic acid moieties. We<br />

hypo<strong>the</strong>sized that <strong>the</strong> measured amplitudes <strong>of</strong> <strong>the</strong>se signals would reflect global<br />

protein glycosylation levels, <strong>the</strong>reby providing measures <strong>of</strong> inflammation status<br />

that might have clinical utility similar or complementary to existing inflammatory<br />

biomarkers.<br />

Methods: We used archived serum NMR spectra from previously-performed<br />

automated NMR LipoPr<strong>of</strong>ile (lipoprotein particle) analyses conducted using <strong>the</strong> 400<br />

MHz NMR Pr<strong>of</strong>iler analyzers at LipoScience. As shown in <strong>the</strong> Figure, <strong>the</strong> GlycA<br />

and GlycB signals overlap <strong>the</strong> complex signal envelope from <strong>the</strong> allylic protons<br />

<strong>of</strong> <strong>the</strong> lipids in VLDL, LDL, and HDL particles. To accurately quantify <strong>the</strong>ir<br />

signal amplitudes, we developed an automated linear non-negative least-squares<br />

deconvolution algorithm that takes account <strong>of</strong> <strong>the</strong> spectral contributions <strong>of</strong> serum<br />

protein and 59 different lipoprotein subclasses. GlycA and GlycB levels are reported<br />

in units <strong>of</strong> μmol/L N-acetyl methyl groups.<br />

Results: GlycA and GlycB levels were measured with good precision (0.97). With <strong>the</strong><br />

automation <strong>the</strong> %CVs <strong>of</strong> all three concentration levels were


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Technology/Design Development<br />

B-257<br />

New Method for Evaluating Individually <strong>the</strong> Reliability <strong>of</strong> Test Result<br />

in Clinical Chemistry Analyzer “Reaction Curve Fitting Method”-<br />

Clinical Applications<br />

Y. Yamamoto 1 , S. Matsuo 1 , E. Kuramura 2 , N. Hatanaka 2 , K. Kamihara 3 ,<br />

T. Mimura 3 . 1 Tenri Health Care University, Nara, Japan, 2 Tenri Hospital,<br />

Nara, Japan, 3 Hitachi High-Technologies Corporation, Tokyo, Japan<br />

Background: Reaction Curve Fitting Method has developed to analyze <strong>the</strong> reliability<br />

<strong>of</strong> each test results by quantifying <strong>the</strong> pattern <strong>of</strong> reaction curves outputted form<br />

clinical chemistry analyzer.<br />

Objective: We evaluated <strong>the</strong> availability <strong>of</strong> Reaction Curve Fitting Method as tools<br />

which confirmed individually <strong>the</strong> reliability <strong>of</strong> test result using a huge number <strong>of</strong> test<br />

results in clinical applications.<br />

Methods: Clinical Chemistry Analyzer, LABOSPECT 008 (Hitachi Hightechnologies)<br />

was used. The target tests in <strong>the</strong> end-point assay were TP, UA, CHO,<br />

LDL-C, Fe, CRP, IgG, IgA and IgM. Rate assay were AST, LD, ALP, GGT, CK and<br />

UN. 10482 samples (daily average 1048) were measured for two weeks in November,<br />

2012. The allowable range <strong>of</strong> each index factor was established before this evaluation.<br />

The measured results were checked with <strong>the</strong> Reaction Curve Fitting Method after<br />

daily measurement finished. Confirmation <strong>of</strong> each measured result was evaluated by<br />

observing graphs plotted <strong>the</strong> allowable range for every index factor. When <strong>the</strong> sample,<br />

out <strong>of</strong> <strong>the</strong> allowable range, was detected, <strong>the</strong> properties <strong>of</strong> samples, index factor <strong>of</strong><br />

relevant tests and <strong>the</strong> test result <strong>of</strong> relevant tests were confirmed. Analysis s<strong>of</strong>tware <strong>of</strong><br />

<strong>the</strong> Reaction Curve Fitting Method, MiRuDa (Hitachi High-Technologies) was used.<br />

Results: During <strong>the</strong> evaluation, daily reproducibility for index factors <strong>of</strong> QC samples<br />

in <strong>the</strong> Reaction curve fitting method was acceptable. Quantitative index factors (A 1<br />

, p)<br />

were generally distributed within <strong>the</strong> allowable range as defined by <strong>the</strong> index factor<br />

and test result. Reaction curves <strong>of</strong> samples that index factor indicating Reactivity (k),<br />

Quantification (A 1<br />

, p) and (Err) were within <strong>the</strong> allowable range matched fitted curve.<br />

Some marked hemolysis and increased bilirubin samples exceeded <strong>the</strong> allowable<br />

range <strong>of</strong> index factor indicating absorbance at reaction starting point (A 0<br />

, q). The<br />

number <strong>of</strong> samples in <strong>the</strong> rate assay is more likely to be out <strong>of</strong> <strong>the</strong> allowable range.<br />

In <strong>the</strong> Reaction Curve Fitting Method, noise due to optical system (AST, TP),<br />

absorbance decrease after color reaction (UA), reaction inhibition by <strong>the</strong>rapeutic drug<br />

(Fe), discrepancy <strong>of</strong> index factor k or A 1<br />

(M protein <strong>of</strong> IgG, elevated serum IgG4)<br />

were detected, however, <strong>the</strong>y were not detected by <strong>the</strong> current abnormal value check,<br />

previous value check and CDC check.<br />

Consideration: The current check methods are hard to distinguish between <strong>the</strong> cause<br />

<strong>of</strong> abnormality about measurement and <strong>the</strong> change <strong>of</strong> medical conditions. In <strong>the</strong><br />

Reaction Curve Ftting Method, if reaction curve is stable, each index factor is within<br />

<strong>the</strong> acceptable range. The Reaction Curve Fitting Method is revolutionary technique<br />

for confirming <strong>the</strong> reliability <strong>of</strong> each test results about reaction curve.<br />

Conclusion: Reliability in measured values can be determined by checking each<br />

reaction curve in <strong>the</strong> Reaction Curve Fitting Method.<br />

B-258<br />

Analytical evaluation <strong>of</strong> soluble IL2-Receptor, ACTH, GH<br />

Measurement by Automated Immunoassay System “ IMMULITE<br />

2000 XPi ”<br />

E. Hamada, K. Noji, M. Maekawa. Hamamatsu University School <strong>of</strong><br />

Medicine, Hamamatsu, Japan<br />

Background: The full automated random-access multiparameter luminescence<br />

immunoassay system, IMMULITE 2000 XPi is based on a solid phase two-site<br />

chemiluminescent enzyme immunoassay (CLEIA). Here we evaluated analytical<br />

performance <strong>of</strong> <strong>the</strong> IMMULITE 2000 XPi measurement system <strong>of</strong> soluble IL2-<br />

Receptor (IL2R), ACTH and GH.<br />

Samples: We used serum and plasma samples collected from our inpatients/<br />

outpatients and <strong>the</strong> employees who volunteered, as well as control samples<br />

commercially available. This study has been approved by <strong>the</strong> ethical committee in<br />

Hamamatsu University School <strong>of</strong> Medicine.<br />

Material and Method: In this study, we compared IMMULITE 2000 XPi<br />

Immunoassay System and its dedicated reagents (Siemens Healthcare Diagnostics,<br />

USA) with AP-X automated microplate EIA analyzer (Kyowa Medex, Japan) for<br />

IL2R, Modular Analytics ECLusys (Roche Diagnostics, Germany) for ACTH, and<br />

Daiichi-GH kit (TFB, Japan) for GH.<br />

Results: 1. Within-run precision<br />

The CV% for <strong>the</strong> control samples measured 20 times in sequent were 2.8% (455<br />

U/mL), 3.4% (1599 U/mL) for IL2R; 2.7% (30.2 pg/mL), 3.0% (415.3 pg/mL) for<br />

ACTH; 3.1% (1.55 ng/mL), 2.3% (4.05 ng/mL), 2.0% (9.30 ng/mL) for GH.<br />

2. Between-run precisionThe CV% for <strong>the</strong> same samples as used for within-run<br />

precision with dual measurement for 10 days were 3.4%, 2.3% for IL2R; 3.0%, 2.3%<br />

for ACTH; 3.7%, 3.7%, 2.6% for GH.<br />

3. Linearity<br />

Linearity observed in high concentration range for IL2R, ACTH, GH was up to 7218<br />

U/mL, 1104 pg/mL, 39.5 ng/mL, respectively. Linearity in low concentration range<br />

also indicated favorable results.<br />

4. Minimal detection limit<br />

The detection limit <strong>of</strong> IL2R, ACTH, GH were 2.4 U/mL, 3.37 pg/mL 0.0095 ng/mL,<br />

respectively.<br />

5. Interference with coexisting materials<br />

Interferences with coexisting materials used Interference Check A Plus and<br />

Interference Check RF Plus (Sysmex Co., Japan). Only small positive interferences<br />

were observed in IL2R measurement with RF and in ACTH measurement with<br />

bilirubin C. However, no interferences were observed by bilirubin F and C < 20mg/L,<br />

hemoglobin


Technology/Design Development<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

negative calls <strong>of</strong> low allele frequency samples. The assay has clinical applicability for<br />

<strong>the</strong> selection <strong>of</strong> patients for early phase clinical studies. The assay design principles<br />

and considerations may be applicable to o<strong>the</strong>r efforts to develop and validate clinical<br />

mutation detection assays, including NGS-based clinical assays.<br />

B-260<br />

Comparison <strong>of</strong> two blood gas extraction devices related to sample<br />

stability<br />

R. Gomez-Rioja, P. Fernandez-Calle, M. J. Alcaide, P. Oliver, J. M.<br />

Iturzaeta, A. Buno. Hospital Universitario La Paz, Madrid, Spain<br />

Background: The stability <strong>of</strong> samples for blood gas analysis mainly depends on <strong>the</strong><br />

diffusion <strong>of</strong> gases through <strong>the</strong> plastic components <strong>of</strong> <strong>the</strong> syringes and <strong>the</strong> metabolic<br />

effect <strong>of</strong> cell constituents. When validating a change <strong>of</strong> <strong>the</strong> extraction devices, time<br />

influence should be evaluated.<br />

The aim <strong>of</strong> this study was to asses <strong>the</strong> comparability <strong>of</strong> blood gas parameters results<br />

between two types <strong>of</strong> syringes during a variable time up to 3 hours.<br />

Methods: Two extraction devices were compared: PRESET (Beckton Dickinson) and<br />

SAFE-PICO (Radiometer) on 40 blood samples. Paired samples were obtained from<br />

<strong>the</strong> same IV line-blood drawn for every patient and processed immediately in a blood<br />

gas analyzer ABL-90 (Radiometer). Before and after <strong>the</strong> analysis <strong>the</strong>y were purged<br />

to avoid <strong>the</strong> presence <strong>of</strong> bubbles and stored at room temperature for a period varying<br />

from 30 minutes to 3 hours until <strong>the</strong>y were re-analyzed.<br />

To assess <strong>the</strong> interchangeability <strong>of</strong> patients´ results, <strong>the</strong> CLSI-EP15 protocol was<br />

performed at clinical decision levels. Allowable bias was <strong>the</strong> criteria to define a<br />

significant change.<br />

A univariate general linear model (GLM) was used to assess differences considering<br />

syringe type and time interval between repeated analyses.<br />

Results: Confidence intervals (95%) <strong>of</strong> <strong>the</strong> differences <strong>of</strong> concentration <strong>of</strong> all blood<br />

gas parameters were lower than <strong>the</strong> allowable bias at clinical decision levels.<br />

GLM showed no significant differences between <strong>the</strong> types <strong>of</strong> device independently <strong>of</strong><br />

<strong>the</strong> sample storage time.<br />

Related to time, four parameters showed a significant variation.<br />

Analytical Allowable<br />

GLM study<br />

Parameter Units<br />

Storage Syringe Effect description<br />

range bias* (%)<br />

Time (p) type (p) over time<br />

pH 7.24-7.5 1.5


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Technology/Design Development<br />

analyzers; similarly, lipase slopes were >1.5 on all. For Sites A#1 and A#2, 87% <strong>of</strong><br />

<strong>the</strong> intercepts ranged between -5.01 to 5.00, for Site B and Site C, this was 85%. When<br />

combined, <strong>the</strong> intercepts <strong>of</strong> 178 <strong>of</strong> 208 (86%) analytes ranged between -5.01 to 5.00.<br />

Correlation coefficients (R) were >0.9701 for 94% <strong>of</strong> Site A#1’s, 92% <strong>of</strong> Site A#2’s,<br />

87% <strong>of</strong> Site B’s, and 96% for Site C’s analytes. When combined, <strong>the</strong> correlation<br />

coefficients for 192 <strong>of</strong> 208 (92%) analytes were >0.9701.<br />

Conclusion: The four AU5822 analyzers <strong>of</strong>fered consistent simple precision, linearity,<br />

and correlation results. Assays that did not correlate with <strong>the</strong> previous instrumentation<br />

were expected and due to methodology changes. Some analytes, however, despite<br />

methodology changes, did not require or required only minor adjustments <strong>of</strong> <strong>the</strong><br />

reference intervals. This multi-center study demonstrates acceptable AU5822 site-tosite<br />

reproducibility and analyzer performance consistency.<br />

B-263<br />

Development <strong>of</strong> Quantimetrix Next Generation Complete D, a 25-OH<br />

Vitamin D Clinical Control<br />

A. Schaeffer, P. Lenichek, B. Fernandez, M. Ban, M. Ghadessi.<br />

Quantimetrix Corporation, Redondo Beach, CA<br />

Background: One major issue in 25-OH Vitamin D (25-OH D) testing is <strong>the</strong> lack<br />

<strong>of</strong> commutable control material to evaluate assay performance. Production <strong>of</strong> 25-OH<br />

D control material is challenging due, most importantly, to <strong>the</strong> difficulty in obtaining<br />

serum pools containing adequate endogenous levels <strong>of</strong> 25-OH D. Efforts to modify<br />

pooled human serum to produce <strong>the</strong> 25-OH D levels necessary for a clinical control<br />

can lead to matrix effects. These matrix effects can cause <strong>the</strong> assay systems to<br />

respond differently to <strong>the</strong> control than to patient material, leading<br />

to a lack <strong>of</strong> commutability across assay platforms. Objective. A study was performed<br />

to determine what factors determined <strong>the</strong> commutability <strong>of</strong> 25-OH D serum control<br />

material, including <strong>the</strong> impact <strong>of</strong> charcoal stripping, <strong>the</strong> addition <strong>of</strong> 25-OH D 2<br />

and<br />

D 3<br />

to increase <strong>the</strong> analyte concentration in <strong>the</strong> serum, and <strong>the</strong> addition <strong>of</strong> a group<br />

<strong>of</strong> stabilizers and antimicrobials known to maintain 25-OH D concentrations for<br />

two years at 2-8⁰C. Method. Four sample pools were prepared; pooled human<br />

serum containing an endogenous 25-OH D content <strong>of</strong> 23.1 ng/mL, <strong>the</strong> same pooled<br />

human serum with added 25-OH D 2<br />

or D 3<br />

to a concentration <strong>of</strong> ~50ng/mL 25-OH<br />

D, and charcoal stripped serum with equimolar 25-OH D 2<br />

and D 3<br />

added to a final<br />

concentration <strong>of</strong> 44.5 ng/mL. The samples were analyzed using <strong>the</strong> Abbott Architect ®<br />

i2000, Roche Cobas ® 6000, Siemens Centaur ® XP, and Diasorin Liaison ® systems.<br />

These results were compared to <strong>the</strong> values produced by a HPLC-UV system which<br />

has been demonstrated to produce results comparable to <strong>the</strong> LC-MS-MS ID method<br />

described in JCTLM<br />

Methods: C8RMP4 and C8RMP3. A separate study compared <strong>the</strong> effect <strong>of</strong><br />

<strong>the</strong> stabilizers and antimicrobials mentioned above on observed total 25-OH D<br />

concentrations using <strong>the</strong> same assays.<br />

Results: The whole serum concentrations were within 20% <strong>of</strong> <strong>the</strong> HPLC results for<br />

all instruments but <strong>the</strong> Cobas, which differed by from <strong>the</strong> HPLC 25-OH D value by<br />

43.1%. With <strong>the</strong> charcoal stripped serum, <strong>the</strong> Liaison and Centaur values differed<br />

from <strong>the</strong> HPLC 25-OH D by 119.1 and 119.3% respectively. This demonstrates that<br />

<strong>the</strong>se methods are sensitive to <strong>the</strong> removal <strong>of</strong> hydrophobic components by <strong>the</strong> charcoal<br />

stripping process. The Centaur was shown to be highly sensitive to <strong>the</strong> addition <strong>of</strong> 25-<br />

OH D. The 25-OH D values deviated from <strong>the</strong> HPLC by 159.9% when 25-OH D 2<br />

was<br />

added and by 118% when 25-OH D 3<br />

was added. These percentages may also indicate<br />

a differential response to <strong>the</strong> added D 2<br />

and D 3<br />

forms <strong>of</strong> 25-OH D by <strong>the</strong> Centaur assay.<br />

Finally, <strong>the</strong> preservatives and stabilizers tested had little impact on measured 25-OH<br />

D concentration; <strong>the</strong> greatest difference was 5.2% (Architect).<br />

Conclusion: Based on <strong>the</strong>se results, <strong>the</strong> next generation Quantimetrix Complete D 25-<br />

OH Vitamin D control product will be human serum based without charcoal stripping<br />

and with a minimum <strong>of</strong> 25-OH D addition to avoid matrix effects. The stabilizers and<br />

antimicrobials tested can be used with no impact on <strong>the</strong> commutability <strong>of</strong> <strong>the</strong> control<br />

for <strong>the</strong> assays in this study.<br />

B-264<br />

Sensitive detection <strong>of</strong> cTnI in whole blood on MagArray biosensors<br />

H. Yu 1 , A. Seger 1 , S. Osterfeld 1 , L. Carbonell 1 , I. Yamaguchi 2 , W. Chang 2 ,<br />

M. Greenstein 2 . 1 MagArray Inc, Sunnyvale, CA, 2 Wako Life Sciences, Inc,<br />

Mountain View, CA<br />

Background: Separation <strong>of</strong> plasma or serum from <strong>the</strong> whole blood is <strong>of</strong>ten essential<br />

for <strong>the</strong> detection <strong>of</strong> protein biomarkers on various platforms. Here we report <strong>the</strong><br />

direct detection <strong>of</strong> cTnI in whole blood on MagArray platform with no extra steps<br />

<strong>of</strong> processing <strong>the</strong> whole blood samples. We attribute this unique capability to <strong>the</strong><br />

fundamental detection mechanism <strong>of</strong> MagArray platform, by which magnetic signals<br />

are generated and detected using magnetic nanotags. In contrast to systems based on<br />

optical signals, magnetic signals are not affected by <strong>the</strong> common optical interference<br />

in complex matrices. The detection <strong>of</strong> cTnI in whole blood samples demonstrates<br />

MagArray’s biosensors are well suited for complex biological matrices such as whole<br />

blood samples.<br />

Methods: Antibody pairs for cTnI assay were screened and selected on MagArray<br />

platform, and <strong>the</strong> assay was first developed using purified cTnI in buffers. The assay is<br />

<strong>the</strong>n used for <strong>the</strong> detection <strong>of</strong> purified cTnI added to whole blood. The assay consists<br />

<strong>of</strong> sequential additions <strong>of</strong> sample and nanotag solution to <strong>the</strong> reaction well with no<br />

washing. The whole assay time is 12 minutes. Standard curves <strong>of</strong> cTnI in both pure<br />

buffer and whole blood were established and compared. Protein interference from<br />

hemoglobin, albumin, and IgG spiked into whole blood was also investigated.<br />

Results: The detection sensitivity <strong>of</strong> cTnI in whole blood without any sample<br />

processing on MagArray platform is close to 10pg/ml. As a comparison, <strong>the</strong><br />

sensitivity <strong>of</strong> cTnI detection is approaching 1pg/ml in pure buffer. We assume this is<br />

due to <strong>the</strong> higher viscosity <strong>of</strong> whole blood samples that slows down <strong>the</strong> binding rates<br />

<strong>of</strong> analyte and detection antibody. Also, <strong>the</strong> assay is found to be relatively insensitive<br />

<strong>of</strong> interference from IgG and albumin. High concentration <strong>of</strong> hemoglobin (40%wt)<br />

led to lower signals which again were likely caused by <strong>the</strong> higher viscosity <strong>of</strong> <strong>the</strong><br />

hemoglobin spiked samples.<br />

Conclusion: MagArray platform provides a unique opportunity <strong>of</strong> detecting proteins<br />

in whole blood. Since no extra step is required to process whole blood samples, <strong>the</strong><br />

complexity <strong>of</strong> <strong>the</strong> assay format is greatly reduced. The detection <strong>of</strong> magnetic signals,<br />

ra<strong>the</strong>r than optical signals, is a key benefit <strong>of</strong> <strong>the</strong> MagArray platform for protein<br />

detection in complex biological matrices.<br />

B-265<br />

A Sensitive, Inexpensive Detection Substrate for Microarray<br />

Applications<br />

W. D. Nelson, G. Opperman, D. Pauly, K. Pauly. SurModics, Eden Prairie,<br />

MN<br />

Background: Traditionally most microarray applications have utilized fluorescence<br />

detection technology to gain <strong>the</strong> desired level <strong>of</strong> sensitivity. Microarrays are <strong>of</strong>ten<br />

run using a glass slide format to which ei<strong>the</strong>r antibodies, proteins or nucleic acids are<br />

bound, depending on <strong>the</strong> application.<br />

Objective: Here, we have shown that detection using a simple precipitating substrate<br />

can be just as sensitive, without <strong>the</strong> higher costs <strong>of</strong> both <strong>the</strong> detection probes and<br />

analyzers inherent with fluorescent detection. This novel colorimetric detection<br />

combines <strong>the</strong> power <strong>of</strong> optimal surface coating, substrate choice and visualization<br />

techniques.<br />

Methods: Biotinylated oligonucleotide was titrated and printed onto <strong>the</strong> surface <strong>of</strong><br />

a coated glass slide. The slides were <strong>the</strong>n incubated with ei<strong>the</strong>r, streptavidin-Cy5<br />

(fluorescence) or streptavidin-horseradish peroxidase (colorimetric), washed and spun<br />

dry. Slides using Cy5 detection were scanned on an Axon 4200 AL scanner in <strong>the</strong> 632<br />

nm channel. Precipitating tetramethylbenzidine (TMB) substrate was incubated for 20<br />

minutes on slides printed with horseradish peroxidase, washed with water to stop <strong>the</strong><br />

reaction, and dried. Colorimetric imaging was performed using polarizing filters and<br />

light transmittance. Fur<strong>the</strong>r experiments examined <strong>the</strong> effect <strong>of</strong> different coatings on<br />

<strong>the</strong> detection level for both TMB and fluorescence.<br />

Results: The results indicated that when <strong>the</strong> polarizing filters were used in<br />

combination with <strong>the</strong> precipitating substrates, <strong>the</strong> same level <strong>of</strong> sensitivity as<br />

fluorescence detection was achieved. In a titration <strong>of</strong> oligonucleotide printed on <strong>the</strong><br />

surface, both <strong>the</strong> colorimetric substrate and fluorescent probe provided equivalent<br />

levels <strong>of</strong> detection at 1 nM.<br />

A250 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Technology/Design Development<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Conclusion: We have found that colorimetric detection for microarray applications<br />

is a sensitive, inexpensive detection alternative to fluorescence. The simplicity <strong>of</strong><br />

<strong>the</strong> novel colorimetric system may <strong>of</strong>fer advantages in certain settings (e.g, Point Of<br />

Care) where fluorescence systems are not practical.<br />

Conclusion: Five grades <strong>of</strong> filter papers (TFN, 226, 903, CF10 and CF12) show<br />

similar analytical behavior and are suitable for DBS analysis by LC-MS/MS.<br />

B-266<br />

Evaluation <strong>of</strong> a Novel Surface Modification Technology for Molecular<br />

Diagnostic Applications on a Variety <strong>of</strong> Surfaces<br />

G. Opperman, W. D. Nelson, A. Torguson, S. Lundquist, K. Pauly, D.<br />

Pauly. SurModics, Inc., Eden Prairie, MN<br />

Background: Many molecular diagnostic devices require immobilization <strong>of</strong> a capture<br />

biomolecule to a surface in a manner that preserves <strong>the</strong> activity <strong>of</strong> <strong>the</strong> biomolecule<br />

and reduces non-specific interactions. The ability to provide <strong>the</strong>se attributes to a wide<br />

variety <strong>of</strong> surfaces is invaluable to <strong>the</strong> successful development <strong>of</strong> diagnostic assays.<br />

Objective: In this work we evaluated a novel photochemical surface immobilization<br />

technology on a wide variety <strong>of</strong> substrate materials. The coated articles were evaluated<br />

for biomolecule immobilization and surface passivation.<br />

Methods: An example polymer coating was applied to a wide range <strong>of</strong> substrates.<br />

These included glass, silicon, and plastics such as polypropylene, polystyrene,<br />

polymethylmethacrylate and polycycloolefin. The coating contained reactive groups<br />

to provide specific immobilization and a hydrophilic backbone to provide passivation<br />

against non-specific binding during assay. Model DNA assays were used to evaluate<br />

oligonucleotide binding and hybridization efficiency <strong>of</strong> substrates. An oligonucleotide<br />

containing a 5’ amine and 3’ biotin label was printed on <strong>the</strong> coated surfaces to<br />

determine oligonucleotide binding capabilities <strong>of</strong> each surface. A hybridization assay<br />

was done using a biotinylated probe complementary to a capture probe on <strong>the</strong> surface<br />

to model assay performance.<br />

Results: All <strong>of</strong> <strong>the</strong> surfaces evaluated bound oligonucleotides to a high signal and<br />

displayed low levels <strong>of</strong> background.<br />

Conclusions: When developing assays for clinical applications, consideration <strong>of</strong><br />

<strong>the</strong> surface properties and attachment <strong>of</strong> <strong>the</strong> biomolecule is critical to maximize<br />

performance <strong>of</strong> <strong>the</strong> array. This work highlights a novel surface modification<br />

technology that has <strong>the</strong> versatility and ease <strong>of</strong> manufacture to be used in a wide range<br />

<strong>of</strong> diagnostics assays.<br />

Figure 1. Fan form<br />

(HemaForm) and traditional spot filter paper.<br />

B-267<br />

Performance Comparison <strong>of</strong> Filter Papers for Dried Blood Spot<br />

Analysis by LC-MS/MS<br />

J. Wright, I. Valmont, J. Hill, J. Hill. Spot On Sciences, Austin, TX<br />

Background: Dried blood spot (DBS) sampling methods are increasingly used due to<br />

many advantages over conventional venipuncture collection. Analytical performance<br />

can vary with differences in absorbent filter paper grades and manufacture. To<br />

determine optimal filter paper grades for dried blood spot analysis, we compared a<br />

wide variety <strong>of</strong> commercially available absorbent materials for sample wicking rates,<br />

consistency and recovery.<br />

Methods: More than 35 grades <strong>of</strong> absorbent materials were tested for whole blood<br />

wicking rates and consistent sample coverage. Blood was added drop wise by<br />

pipet onto horizontal materials/filter papers and wicking and spreading behavior<br />

was observed and, if appropriate, <strong>the</strong> time to reach <strong>the</strong> edge <strong>of</strong> a pre-drawn circle<br />

was measured. Based on <strong>the</strong>se results, 5 filter paper grades were chosen for fur<strong>the</strong>r<br />

analysis: TFN<br />

(Munktell), 226 (Ahlstrom) and 903, CF10 and CF12 (Whatman). Whole blood<br />

containing tolbutamide, nifedipine, ramipril and cortisol was spotted on both filter<br />

paper strips and on pre-cut fan forms (HemaForm; Figure 1) from each <strong>of</strong> <strong>the</strong> five<br />

filter paper grades. The samples were air dried overnight and punches (4 mm) were<br />

removed from <strong>the</strong> paper strips and a blade was removed from <strong>the</strong> fan form. Each<br />

sample (n=3) was extracted in MeOH:H2O containing deuterated internal standards<br />

for 30 minutes with sonication and analyzed by LC-MS/MS.<br />

Results: Recoveries and analytical variability (%CV) was determined for tolbutamide,<br />

nifedipine, ramipril and cortisol. Consistent recovery values and variability was<br />

observed between <strong>the</strong> 5 grades <strong>of</strong> filter papers and between <strong>the</strong> traditional spots and<br />

<strong>the</strong> fan form.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A251


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Electrolytes/Blood Gas/Metabolites<br />

B-269<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Electrolytes/Blood Gas/Metabolites<br />

Certification <strong>of</strong> Creatinine in Standard Reference Material 3667<br />

Creatinine in Frozen Human Urine by Liquid Chromatography-Mass<br />

Spectrometry<br />

J. E. Camara, K. W. Phinney. NIST, Gai<strong>the</strong>rsburg, MD<br />

Background: Creatinine levels in serum and urine are important indicators <strong>of</strong> kidney<br />

function. In addition, o<strong>the</strong>r analytes are <strong>of</strong>ten normalized to creatinine levels to adjust<br />

for urine sample volume variation and very low levels <strong>of</strong> creatinine in urine may be<br />

indicative <strong>of</strong> sample adulteration. The objective <strong>of</strong> this study was to assign a certified<br />

creatinine value to a new Standard Reference Material® (SRM) provided by <strong>the</strong><br />

National Institute <strong>of</strong> Standards and Technology (NIST) in order to support accurate<br />

creatinine measurements for <strong>the</strong> clinical community. SRM 3667 Creatinine in Frozen<br />

Human Urine was prepared from a pool <strong>of</strong> normal human urine <strong>of</strong> both males and<br />

females and contains an endogenous, unmodified level <strong>of</strong> creatinine.<br />

Methods: To determine <strong>the</strong> linearity <strong>of</strong> <strong>the</strong> method, stock solutions <strong>of</strong> SRM 914a<br />

Creatinine and creatinine-d3 were mixed in appropriate amounts to produce calibrants<br />

with mass:mass ratios spanning 0.06 to 1.4 in 0.01 mol/L HCl solution. Evaluation <strong>of</strong><br />

method accuracy was performed by spiking known amounts <strong>of</strong> SRM 914a Creatinine<br />

into urine at three different levels. For certification analyses, SRM 3667 samples were<br />

prepared on two separate days (n=36 and n=24, respectively). Urine was combined<br />

with internal standard solution to achieve a 1:1 creatinine:creatinine-d3 mass ratio.<br />

The sample was <strong>the</strong>n brought to a final 1:10 (volume fraction) dilution and a final 0.01<br />

mol/L HCl concentration and allowed to equilibrate overnight. Prior to analysis, urine<br />

samples were diluted with additional 0.01 mol/L HCl to achieve a final 1:100 (volume<br />

fraction) concentration compared to original samples. SRM 967a Creatinine in Frozen<br />

Human Serum was analyzed as a control material. All calibrants and samples were<br />

separated by reverse-phase liquid chromatography (LC) using an isocratic gradient<br />

and detected by mass spectrometry (MS) in positive, electrospray ionization mode<br />

using single ion monitoring (SIM). The possible interferent creatine was also<br />

monitored by SIM. For additional validation, SRM 3667 was analyzed for creatinine<br />

by three external laboratories utilizing traditional chemical and enzymatic methods.<br />

Results: This method displayed linearity over <strong>the</strong> entire calibrant range (0.05 mg/dL<br />

to 1.0 mg/dL) with R 2 =0.9988. The % recovery was 104 % to 105 % for each spiked<br />

level <strong>of</strong> creatinine. The mean values for Day 1 and Day 2 were 614 μg/g and 612 μg/g,<br />

respectively, with within-day and overall % CV values ≤ 1 %. The final certified value<br />

± expanded uncertainty for creatinine in SRM 3667 was reported as 613 μg/g ± 13<br />

μg/g (61.8 mg/dL ± 1.3 mg/dL). Creatinine values provided by external laboratories<br />

ranged from 56.3 mg/dL to 67.8 mg/dL.<br />

Conclusion: This LC-MS method possesses appropriate linearity, accuracy, and<br />

precision to be utilized in <strong>the</strong> assignment <strong>of</strong> a NIST certified value for creatinine in<br />

SRM 3667. The creatinine value obtained by LC-MS analysis is comparable to values<br />

obtained by traditional chemical and enzymatic methods from external laboratories.<br />

SRM 3667 Creatinine in Frozen Human Urine will support accurate measurements <strong>of</strong><br />

creatinine in urine by <strong>the</strong> clinical community.<br />

B-270<br />

Predicting Acute Kidney Injury Using a Novel Quantitative Method<br />

During Burn Resuscitation<br />

A. N. Steele, E. Howell, J. Bockhold, Z. Godwin, N. K. Tran. University <strong>of</strong><br />

California Davis, Davis, CA<br />

Background: Burn patients are at high-risk for acute kidney injury (AKI). AKI<br />

is frequently <strong>the</strong> result <strong>of</strong> hypo-resuscitation and a major cause <strong>of</strong> death among<br />

burn population. Serum creatinine and urine output (UOP) are routinely used for<br />

determining <strong>the</strong> severity <strong>of</strong> AKI, however, both poorly reflect renal perfusion status<br />

during critical illness. Neutrophil gelatinase associated lipocalin (NGAL) may serve<br />

as a novel biomarker for predicting AKI. We propose an innovative area under <strong>the</strong><br />

curve (AUC) analysis method to determine <strong>the</strong> clinical significance <strong>of</strong> creatinine<br />

and NGAL excursions above <strong>the</strong>ir respective reference intervals. Fur<strong>the</strong>rmore,<br />

we hypo<strong>the</strong>size AUC analysis may better predict AKI in severely burned patients<br />

compared to traditional biomarker trending and discrete measurements.<br />

Methods: We conducted a pilot prospective observational study <strong>of</strong> 15 adult (age<br />

≥18 years) patients with ≥20% total body surface area (TBSA) burns. NGAL and<br />

creatinine measurements were determined every 4 hours during <strong>the</strong> first 48 hours postadmission.<br />

AKI was defined by <strong>the</strong> RIFLE criteria. AUC and duration <strong>of</strong> NGAL and<br />

creatinine outside <strong>the</strong>ir respective reference intervals were calculated.<br />

Table 1. AKI versus Non-AKI Patients<br />

AKI<br />

Patients<br />

(n = 6)<br />

Non-AKI<br />

Patients<br />

(n = 9)<br />

P-value<br />

Mean (SD) Age (years) 40.5 (14.5) 35.8 (14.5) NS<br />

Mean (SD) TBSA (%) 49.3 (23.4) 40.6 (18.5) NS<br />

Gender (M, F) 5,1 8,1 NS<br />

184.9<br />

Mean (SD) NGAL (ng/mL)<br />

110.8 (5.2) 0.016<br />

(72.2)<br />

Mean (SD) Serum Creatinine (mg/dL) 1.36 (0.67) 0.99 (0.13) NS<br />

Mean (SD) Urine Output (mL/hr) 87.1 (28.6) 85.2 (56.1) NS<br />

Mean (SD) NGAL AUC above reference interval 2839<br />

672 (237) 0.022<br />

(ng·hr/mL)<br />

(1004)<br />

Mean (SD) Time NGAL was below reference interval<br />

6.6 (5.2) 11.6 (4.1) 0.032<br />

(hr)<br />

Mean (SD) Serum Creatinine AUC below reference<br />

3.0 (1.1) 4.2 (1.8) 0.035<br />

interval (mg·hr/dL)<br />

Mean (SD) Time creatinine was above reference<br />

13.7 (4.8) 7.7 (2.7) 0.002<br />

interval (hr)<br />

Mean (SD) Time creatinine was below reference<br />

9.6 (3.4) 14.5 (5.1) 0.013<br />

interval (hr)<br />

Note: Reference intervals for serum creatinine and NGAL are 0.6-1.2 mg/dL and 40-100 ng/<br />

mL, respectively.<br />

Abbreviations: AKI, acute kidney injury; AUC, area under <strong>the</strong> curve; F, female; M, male;<br />

SD, standard deviation; TBSA, total body surface area<br />

Results: Study results are summarized in Table 1. Patient demographics were similar<br />

between AKI and non-AKI patients. Creatinine was also similar between <strong>the</strong> two<br />

groups. Multivariate logistic regression showed creatinine time below (OR 0.94,<br />

95% CI 0.89-0.99, P=0.012) and NGAL AUC above (OR 1.01, 95% CI 1.00-1.02,<br />

P=0.038). Their respective reference intervals served as independent predictors for<br />

AKI.<br />

Conclusions: Discrete serum creatinine and UOP measurements are inadequate<br />

for predicting AKI in severely burned patients. In contrast, NGAL serves as an<br />

early independent predictor <strong>of</strong> AKI. Our innovative AUC method helps to better<br />

characterize NGAL and creatinine excursion beyond <strong>the</strong>ir reference-intervals to<br />

augment <strong>the</strong> clinical utility <strong>of</strong> biomarkers such as NGAL and creatinine for predicting<br />

AKI. Future studies are warranted to fur<strong>the</strong>r validate <strong>the</strong> AUC method during critical<br />

illness.<br />

B-272<br />

Effect <strong>of</strong> Non-Glucose Carbohydrates on <strong>the</strong> Measurement <strong>of</strong> Glucose<br />

with Blood Gas Analyzers<br />

M. E. Lyon. Royal University Hospital, Saskatoon, SK, Canada<br />

Background: The ability <strong>of</strong> non-glucose carbohydrates like maltose, galactose and<br />

xylose to falsely elevate blood glucose results with certain analytical methods has<br />

been well documented.<br />

Objective: To evaluate <strong>the</strong> impact <strong>of</strong> maltose, xylose, galactose and glucosamine on<br />

<strong>the</strong> performance <strong>of</strong> blood gas analyzer glucose electrodes.<br />

Methods: Glucose was measured using left over patient whole blood specimens<br />

spiked with increasing concentrations <strong>of</strong> ei<strong>the</strong>r maltose, xylose, galactose or<br />

glucosamine, and <strong>the</strong> change in glucose concentration from <strong>the</strong> non-spiked baseline<br />

specimen was calculated. Glucose concentration was measured using <strong>the</strong> following<br />

blood gas analyzers: GEM 3500 (Instrumentation Laboratory, Boston, MA), ABL90<br />

(Radiometer, Copenhagen, Denmark) and ABL800 (Radiometer, Copenhagen,<br />

Denmark). The concentrations <strong>of</strong> <strong>the</strong> interferents tested were: maltose (2, 5, and 10<br />

mmol/L); galactose (2, 5 and 10 mmol/L); xylose (1, 2 and 3 mmol/L); glucosamine<br />

(1, 3 and 5 mmol/L). Mean and standard deviation (SD) changes in glucose<br />

concentrations resulting from <strong>the</strong> addition <strong>of</strong> <strong>the</strong> interferent were calculated.<br />

Results: The mean changes in glucose concentration observed with a) Maltose at 2, 5<br />

and 10 mmol/L and <strong>the</strong> GEM 3500 were -0.05, -0.06 and -0.19 mmol/L, respectively;<br />

<strong>the</strong> ABL90 were -0.02, -0.08 and -0.19 mmol/L, respectively; ABL800 were -0.11,<br />

-0.17 and -.28 mmol/L, respectively b) Galactose at 2, 5 and 10 mmol/L and <strong>the</strong> GEM<br />

3500 were 0.57, 1.51 and 2.70 mmol/L, respectively; <strong>the</strong> ABL90 were 0.03, 0.13 and<br />

0.26 mmol/L, respectively; ABL800 were 0.11, 0.29 and 0.61 mmol/L, respectively<br />

A252 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Electrolytes/Blood Gas/Metabolites<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

c) Xylose at 1, 2 and 3 mmol/L and <strong>the</strong> GEM 3500 were 0.46, 0.58 and 0.98 mmol/L,<br />

respectively; <strong>the</strong> ABL90 were -0.08, -0.14 and -0.17 mmol/L, respectively; ABL800<br />

were 0.01, -0.02 and -0.07 mmol/L, respectively and d) Glucosamine at 1, 3 and 5<br />

mmol/L and <strong>the</strong> GEM 3500 were 0.33 , 0.93 and 1.47 mmol/L, respectively; <strong>the</strong><br />

ABL90 were 0.06, 0.15 and 0.26 mmol/L, respectively; ABL800 were 0.04, 0.20 and<br />

0.35 mmol/L, respectively.<br />

Conclusions: The glucose methods with different blood gas analyzers demonstrated<br />

varying degrees <strong>of</strong> susceptibility to interference by non-glucose carbohydrates like<br />

maltose, xylose and galactose as well as glucosamine.<br />

B-273<br />

Influence <strong>of</strong> Sodium Replacement Rate in Osmotic Demyelination<br />

Syndrome<br />

V. Palamalai, A. A. Killeen. University <strong>of</strong> Minnesota, Minneapolis, MN<br />

Background: Osmotic demyelination syndrome (ODS) can result from over-rapid<br />

correction <strong>of</strong> hyponatremia. We sought to determine <strong>the</strong> optimal rate <strong>of</strong> sodium<br />

replenishment based on published cases <strong>of</strong> ODS.<br />

Methods:The PubMed database was queried using <strong>the</strong> key words central pontine<br />

myelinolysis, osmotic demyelination syndrome, and extrapontine myelinolysis<br />

and over 400 articles were retrieved. The information regarding rate <strong>of</strong> sodium<br />

replacement was obtained from <strong>the</strong>se articles and used to determine <strong>the</strong> number <strong>of</strong><br />

cases <strong>of</strong> ODS that occurred at different rates <strong>of</strong> sodium replacement.<br />

Results: In <strong>the</strong> current review, alcoholism was seen in over 30 % <strong>of</strong> cases. The next<br />

significant association was with dehydrating conditions ei<strong>the</strong>r by emesis or diarrhea.<br />

Liver disorders and associated transplantations were <strong>the</strong> next significant category. At<br />

a rate <strong>of</strong> replacement <strong>of</strong> 6 mmol/L/day, less than 10 % <strong>of</strong> individuals were affected<br />

by ODS, while at 9 mmol/L/day less than 15 % <strong>of</strong> individuals were affected. Both<br />

morbidity and mortality significantly increased at rates <strong>of</strong> replacement > 10 mmol/L/<br />

day. ODS is a condition in which <strong>the</strong> maxim prevention is better than cure holds good.<br />

Although mortality has come down, significant morbidity still persists with almost 60<br />

% <strong>of</strong> survivors having significant persistent disability.<br />

Conclusions: The prevalence <strong>of</strong> ODS is related to <strong>the</strong> rate <strong>of</strong> replacement <strong>of</strong> sodium.<br />

With rates < 9 mmol/L/day <strong>the</strong> likelihood <strong>of</strong> developing ODS is reduced compared<br />

to faster rates <strong>of</strong> sodium replenishment, however <strong>the</strong> risk <strong>of</strong> developing ODS is not<br />

completely eliminated even at lower rates.<br />

B-275<br />

Measures reducing discrepancies in arterial PO2 results between<br />

POCT and standard laboratory blood gases analysis<br />

Y. Zhu, C. A. Schmidt, A. G. S<strong>of</strong>ronescu, N. A. Epps, K. Q. Washington,<br />

F. S. Nolte, B. D. Horne, R. Martinette, L. C. Fuller. Medical University <strong>of</strong><br />

South Carolina, Charleston, SC<br />

Background: Previous studies have shown that specimens transported by pneumatic<br />

tube systems (PTS) may have falsely elevated PO 2<br />

due to air contamination. We have<br />

also observed that in some samples, <strong>the</strong> difference in PO 2<br />

values measured by i-STAT<br />

Point <strong>of</strong> care testing (POCT) and Radiometer, a standard laboratory blood gases<br />

analyzer can be more than 10 mmHg, which is considered clinically significant. Since<br />

no specimen transport is needed in POCT, we hypo<strong>the</strong>size that <strong>the</strong> higher values <strong>of</strong><br />

PO 2<br />

measured by Radiometer are due to air contamination during blood collection<br />

and subsequent air mixing with <strong>the</strong> blood during PTS transport. The objective <strong>of</strong> this<br />

study is to determine if use <strong>of</strong> air bubble removal device, manual specimen delivery,<br />

PTS transport with padding can reduce <strong>the</strong> bias in PO 2<br />

values between i-STAT and<br />

Radiometer.<br />

Methods: Twenty patients were enrolled in <strong>the</strong> study. Four blood samples were<br />

collected by respiratory <strong>the</strong>rapists from each patient with a central line using Filter-<br />

Pro Vent Blood Sampling kit with Air Bubble Removal device. Air bubbles were<br />

removed immediately after collection according to <strong>the</strong> manufacture’s instruction.<br />

The first specimen was measured by i-STAT and <strong>the</strong> rest <strong>of</strong> three specimens were<br />

sent to <strong>the</strong> lab in three different ways: 1) walked to <strong>the</strong> laboratory, 2) sent via PTS<br />

with padding, and 3) sent via PTS without padding. All specimens were analyzed in<br />

duplicate within 15 minutes <strong>of</strong> collection. We compared PO 2<br />

results via a two-sided,<br />

paired t-test and P< 0.05 was considered statistically significant and <strong>the</strong> bias greater<br />

10 mmHg was considered clinically significant.<br />

Results: The average PO 2<br />

(mean ± SD) values measured by i-STAT and Radiometer<br />

were 80.3 ± 27.0 (i-STAT), 84.2 ± 27.9 (walked sample), 85.3 ± 28.5 (PTS with<br />

padding), and 86.9 ± 28.9 mmHg (PTS without padding) respectively and <strong>the</strong><br />

difference in PO2 values between i-STAT and Radiometer were statistically<br />

significant (all P values < 0.05). The mean differences (mean ± SD) between i-STAT<br />

and Radiometer were 3.9 ± 4.2 (walked samples), 5.0 ± 3.1 (PTS with padding), and<br />

6.8 ± 4.2 mmHg (PTS without padding) respectively. The difference in PO 2<br />

values<br />

between walked and PTS with padding samples was statistically insignificant (P =<br />

0.11), but <strong>the</strong> difference between walked and PTS without padding samples was<br />

statistically significant (P < 0.05)<br />

Conclusion: Compared to i-STAT, PO 2<br />

values measured by Radiometer are still<br />

higher even using <strong>the</strong> air bubble removal device, suggesting that <strong>the</strong>re is a systematic<br />

error between i-STAT and Radiometer. However, <strong>the</strong> average bias is less than 10<br />

mmHg, indicating that use <strong>of</strong> air bubble removal device reduces <strong>the</strong> bias to <strong>the</strong><br />

clinically insignificant levels. There is no statistically significant difference in PO 2<br />

values between walked and PTS with padding samples, but <strong>the</strong> difference between<br />

walked and PTS without padding samples is statistically significant, suggesting that<br />

padding can reduce PO 2<br />

bias for samples transported via PTS.<br />

B-276<br />

Short and Long-Term Verification <strong>of</strong> Performance Between Lots <strong>of</strong><br />

Reagent with Patient Specimens. A Practical Example with a Blood<br />

Calcium Assay.<br />

V. M. Genta 1 , R. Murray 1 , E. Ravago 1 , D. Cline 2 , W. Tang 1 , D. Greiber 1 .<br />

1<br />

Sentara Virginia Beach General Hospital, Virginia Beach, VA, 2 Sentara<br />

Healthcare, Norfolk, VA<br />

Background: Calcium blood values are monitored by physicians for diagnosing<br />

disorders <strong>of</strong> calcium metabolism (e.g. hyperparathyroidism and osteoporosis),<br />

for assessing <strong>the</strong> effects <strong>of</strong> treatment, and for monitoring calcium homeostasis.<br />

Consequently, <strong>the</strong> laboratorian has to ensure uniformity <strong>of</strong> performance <strong>of</strong> <strong>the</strong><br />

calcium assay within and between lots <strong>of</strong> reagents. We report three years experience<br />

in monitoring homogeneous performance <strong>of</strong> a blood calcium assay.<br />

Methods: The calcium assay was performed between 2010 and <strong>2013</strong> with two<br />

Cobas® c501 (Roche) instruments using Roche reagents, with <strong>the</strong>ir assigned<br />

calibration set-point, on patient blood specimens obtained by venipuncture prior to<br />

elective surgery. The short term homogeneity <strong>of</strong> performance was evaluated with <strong>the</strong><br />

paired t-Test. Power analysis for <strong>the</strong> paired t-Test, using prior experience, showed<br />

that for alpha = 0.05, difference = 0.25 mg/dL, standard error <strong>of</strong> <strong>the</strong> difference =<br />

0.2 mg/dL, ten patient specimens would ensure a power = 0.95. Upon receipt <strong>of</strong> a<br />

new reagent, ten patient blood specimens were assayed in parallel, and within one<br />

hour, with <strong>the</strong> old and <strong>the</strong> new lot using <strong>the</strong>ir respective calibration set-points. The<br />

long term homogeneity <strong>of</strong> performance was verified by comparing <strong>the</strong> distribution<br />

<strong>of</strong> <strong>the</strong> values obtained by assaying patient blood specimens over a period <strong>of</strong> several<br />

months with a new lot <strong>of</strong> reagent, to <strong>the</strong> distribution <strong>of</strong> <strong>the</strong> values obtained with <strong>the</strong><br />

previous lots <strong>of</strong> reagent for similar patient population. Power analysis, paired t-Test,<br />

descriptive statistics, ANOVA, Anderson-Darling test for normality and <strong>the</strong>ir graphic<br />

representations were performed using Minitab® (Version 16, Minitab Inc.) statistical<br />

s<strong>of</strong>tware.<br />

Results: The paired t-Test showed statistically significant differences between lots <strong>of</strong><br />

reagent (P < 0.05). However, for each comparison <strong>the</strong> mean differences were less than<br />

0.3 mg/dL with a maximum standard error <strong>of</strong> <strong>the</strong> mean = 0.14 mg/dL. Fur<strong>the</strong>rmore,<br />

<strong>the</strong> plot <strong>of</strong> <strong>the</strong> differences between new and old lot by <strong>the</strong> value <strong>of</strong> calcium as<br />

determined with <strong>the</strong> old lot showed that <strong>the</strong> differences were within 0 and 0.5 mg/<br />

dL. The new reagent lot with its set-point was accepted. The long-term studies, using<br />

patient specimens, showed no statistically significant differences between means and<br />

standard deviations (P>0.05) for blood calcium values as determined with several<br />

reagent lots for similar patient populations. The Anderson-Darling test did not show<br />

statistically significant departures from normality (P > 0.05 ) for each distribution and<br />

<strong>the</strong> normal probability plots showed overlapping distributions for each reagent lot.<br />

Conclusions: These observations clearly showed that <strong>the</strong> paired t-Test and its graphic<br />

representation performed on ten paired observations would identify differences greater<br />

than 0.25 mg/dL between lots <strong>of</strong> reagents.Since no mean difference exceeded 0.3 mg/<br />

dL, no correction <strong>of</strong> <strong>the</strong> set point for that lot <strong>of</strong> reagent was deemed necessary. This<br />

decision was corroborated by <strong>the</strong> long-term study showing equality <strong>of</strong> distribution<br />

<strong>of</strong> calcium values for presurgery patients as determined with several lots <strong>of</strong> reagent.<br />

Finally, it is clear that to perform <strong>the</strong>se data analyses appropriate statistical s<strong>of</strong>tware<br />

has to be available to <strong>the</strong> laboratorian.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A253


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Electrolytes/Blood Gas/Metabolites<br />

B-277<br />

Salicylate Interference with an Indirect ISE Method Causes Falsely<br />

Elevated Chloride Results<br />

R. M. Jackson, J. W. Meeusen, N. V. Tolan, J. H. Steuernagle, Q. Qian,<br />

B. S. Karon, P. J. Jannetto, D. R. Block, N. A. Baumann. Mayo Clinic,<br />

Rochester, MN<br />

Background: Salicylate interference with <strong>the</strong> Roche Cobas Integra 400 chloride ionselective<br />

electrode (ISE) direct method has been reported. However, <strong>the</strong> manufacturer<br />

product information states that <strong>the</strong>re is no significant salicylate interference for<br />

<strong>the</strong> indirect method (up to 3 mmol/L salicylate (414 mg/dL)). A recent case <strong>of</strong><br />

pseudohyperchloridemia (181 mmol/L) associated with toxic serum levels <strong>of</strong><br />

salicylate (35 mg/dL) at our institution lead us to fur<strong>the</strong>r characterize <strong>the</strong> extent <strong>of</strong><br />

salicylate interference with <strong>the</strong> Integra 400 chloride ISE indirect method.<br />

Objectives: (1) To correlate <strong>the</strong> extent <strong>of</strong> false-elevation in chloride concentration due<br />

to salicylate interference with both salicylate concentration and ISE time in service<br />

(2) To determine <strong>the</strong> prevalence and impact <strong>of</strong> this interference in a hospitalized<br />

patient population and (3) To test <strong>the</strong> use <strong>of</strong> anion gap as a mechanism to identify<br />

pseudohyperchoridemia and prevent reporting <strong>of</strong> erroneous results.<br />

Methods: Chloride in plasma or serum was measured using both <strong>the</strong> Roche Integra<br />

400 ISE indirect method and <strong>the</strong> Roche Cobas 8000 ISE module indirect method.<br />

Serum salicylate was quantified using an EMIT assay on <strong>the</strong> AU680 Beckman Coulter,<br />

Inc analyzer. Chloride was measured in residual salicylate-positive serum (n=26) and<br />

electrolyte results were reviewed. Pooled waste salicylate-negative serum was spiked<br />

with salicylate (0-150 mg/dL) and aliquots were frozen. Chloride measurements were<br />

repeated over <strong>the</strong> service life <strong>of</strong> electrode (0-45 days). Three hundred consecutive<br />

waste plasma samples from hospitalized patients were screened for presence <strong>of</strong><br />

salicylate. Over a five month period, physician-ordered electrolyte panels measured<br />

on <strong>the</strong> Integra 400 ISE with chloride >130 mmol/L and a low anion gap (5 mmol/L<br />

(range 0-44 mmol/L).<br />

Conclusions: There is significant salicylate interference with <strong>the</strong> Integra 400 chloride<br />

ISE indirect method and <strong>the</strong> extent <strong>of</strong> <strong>the</strong> interference increases with both salicylate<br />

concentration and electrode time in service. Chloride results in combination with<br />

low or negative anion gap can be used to identify possible chloride interference and<br />

avoid reporting <strong>of</strong> erroneous results. Salicylate does not interfere with <strong>the</strong> Cobas 8000<br />

chloride ISE indirect method.<br />

B-278<br />

Ionized Calcium Measurement in CRRT<br />

J. Penman, G. N. Hoag. Vancouver Island Health Authority, Victoria, BC,<br />

Canada<br />

Background: Continuous renal replacement <strong>the</strong>rapy (CRRT) is an increasingly<br />

popular alternative to hemodialysis with fewer complications. Venous blood is<br />

circulated through an extracorporeal device, usually anticoagulated by citrate, with<br />

<strong>the</strong> subsequent addition <strong>of</strong> calcium prior to <strong>the</strong> blood being returned to <strong>the</strong> patient.<br />

The addition <strong>of</strong> citrate and subsequently calcium in <strong>the</strong> CRRT circuit is based on<br />

empirical algorithms using ionized calcium measurements <strong>of</strong> <strong>the</strong> patient’s blood<br />

prior to <strong>the</strong> CRRT device and prior to return to <strong>the</strong> patient. Adjustments to added<br />

citrate and calcium are based on ionized calcium measurements down to 0.25 mmol/L<br />

and ionized calcium changes <strong>of</strong> 0.05 mmol/L. Algorithms are widely employed but<br />

literature to support <strong>the</strong> measurement <strong>of</strong> ionized calcium at this level is lacking.<br />

PURPOSE: The purpose <strong>of</strong> this project was to evaluate <strong>the</strong> ability <strong>of</strong> Instrumentation<br />

Laboratories GEM4000 and Radiometer ABL 835 point <strong>of</strong> care analyzer systems<br />

(used in our institutions for CRRT monitoring) to measure ionized calcium at nonphysiological<br />

levels with sufficient accuracy and precision.<br />

METHODS: All <strong>the</strong> test systems had been previously verified according to our<br />

standard operating procedures. Accuracy was assessed from results obtained with<br />

College <strong>of</strong> American Pathologists (CAP) pr<strong>of</strong>iciency testing material and each<br />

manufacturer’s own calibration/linearity material. Total imprecision was determined<br />

by measuring ionized calcium with <strong>the</strong>oretical target values between 0.27 and 0.50<br />

mmol/L, created by mixing <strong>of</strong> each manufacturer’s material.<br />

RESULTS: The test systems demonstrated adequate precision to discriminate ionized<br />

calciums differing by 0.05 mmol/L:<br />

•ABL: 0.53(3.1), 0.47(3.5), 0.41(3.6), 0.36(3.3), 0.31(4.0), 0.27(3.2), mmol/L(CV%)<br />

•GEM: 0.50(1.4), 0.40(1.6), 0.32(2.1), 0.25(2.4), 0.18(3.2), 0.11(3.0), mmol/L(CV%)<br />

Both test systems showed similar accuracy with CAP pr<strong>of</strong>iciency testing material and<br />

similar accuracy and correlation with both systems’ calibration/linearity materials.<br />

Each system showed better accuracy compared to <strong>the</strong> target values provided for its<br />

own calibration/linearity material.<br />

Both systems compared closely but not identically to ano<strong>the</strong>r analyzer from <strong>the</strong> same<br />

manufacturer:<br />

•ABL: 0.38 & 0.41 at a target <strong>of</strong> 0.35 mmol/L with Radiometer calibrator/Linearity<br />

material<br />

•GEM: 0.31 & 0.32 at a target <strong>of</strong> 0.35 mmol/L with IL calibrator/Linearity material<br />

•Comparing both systems to <strong>the</strong> stated “true value” <strong>of</strong> <strong>the</strong> Radiometer calibration/<br />

lineartity material (supplied by Radiometer and differing from <strong>the</strong>ir target values<br />

provided for calibration/linearity):<br />

•Both systems were closest at 0.05 mmol/L (ABL 0.56 mmol/L and GEM 0.55<br />

mmol/L)<br />

•They diverged from each o<strong>the</strong>r below 0.50 mmol/L.<br />

•At 0.25 mmol/L <strong>the</strong> ABL system registered 0.33 mmol/L and <strong>the</strong> GEM registered<br />

0.21 mmol/L.<br />

CONCLUSIONS: Both analyzer systems were sufficiently precise to reliably detect<br />

changes in ionized calcium as small as 0.05 mmol/L defined by <strong>the</strong> CRRT algorithms.<br />

However both gave results that differed by as much as 0.08 mmol/L from a stated<br />

“true value” <strong>of</strong> 0.25 mmol/L.<br />

This indicates:<br />

•Any given algorithm for CRRT may need to be adjusted for <strong>the</strong> specific analyzer<br />

system (and ideally <strong>the</strong> individual analyzer), and<br />

•Results from more than one analyzer system should not be used to monitor and<br />

control a given CRRT <strong>the</strong>rapy session.<br />

B-279<br />

Carboxyhemoglobin - Pre-analytical Errors from Blood Collection<br />

Devices<br />

P. V. A. Pamidi, H. Yim. Instrumentation Laboratory, Bedford, MA<br />

CO-Oximetry based Carboxyhemoglobin (COHb) measurements are routinely used<br />

to assess carbon monoxide poisoning. Blood samples collected in different devices<br />

(syringes and evacuated blood collection tubes) are routinely used in hospitals and<br />

laboratories for clinical chemistry assays. Instrumentation Laboratory (IL) has<br />

recently learned through a customer evaluation that blood samples collected in<br />

plastic tubes containing lithium heparin and gel separator can significantly elevate<br />

<strong>the</strong> carboxyhemoglobin (COHb) levels. Pre-analytical errors in Carboxyhemoglobin<br />

measurements from different blood collection devices in CO-Oximetry analyzers are<br />

evaluated in this study.<br />

Blood samples collected in different blood collection tubes and syringes (from<br />

a healthy volunteer) were used for COHb measurements in three CO-Oximetry<br />

analyzers (GEM Premier 4000 and IL 682 from Instrumentation Laboratory and<br />

ABL 837 from Radiometer). Carboxyhemoglobin measurements from blood samples<br />

collected with arterial syringes, glass or plastic evaluated tubes with or without gel<br />

separator are summarized in figure below. Plastic blood collection tubes and draw<br />

volume showed significant potential for pre-analytical errors. All blood collection<br />

tubes with gel barrier showed increased bias in COHb measurements compared to<br />

arterial syringes.<br />

A254 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Electrolytes/Blood Gas/Metabolites<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Conclusions: Plastic blood collection tubes with gel barrier showed elevation<br />

in Carboxyhemoglobin results compared to arterial syringes. Sample draw<br />

volume variations in plastic collection tubes can cause pre-analytical errors in<br />

Carboxyhemoglobin measurements.<br />

B-281<br />

Performance Evaluation <strong>of</strong> Homocysteine on Beckman Coulter<br />

AU5822 Analyzer<br />

M. K. Zimmerman 1 , P. A. Vollmer 2 . 1 Indiana University School <strong>of</strong> Medicine,<br />

Indianapolis, IN, 2 Indiana University Health, Indianapolis, IN<br />

B-280<br />

Application <strong>of</strong> Predictive End Point Methodology in GEM® Analyzers<br />

J. CERVERA, N. Raymond, S. Mansouri. Instrumentation Laboratory,<br />

Bedford, MA<br />

Rapid report <strong>of</strong> clinical parameters such as blood gases and metabolites is important in<br />

critical care areas for prognosis and clinical outcome. Typically, such measurements<br />

are accomplished by blood analyzers using various electrochemical sensors and <strong>the</strong><br />

result is reported when <strong>the</strong> sensor output has reached an end point which is close<br />

to an equilibrium or steady state level. However, reaching an end point for sensors<br />

with diffusion controlled response characteristic, such as pO2 and glucose could cause<br />

delay in reporting <strong>the</strong> sample results.<br />

This paper describes a methodology for reducing time to result by predicting <strong>the</strong> end<br />

point through signal extrapolation before <strong>the</strong> sensor response reaches equilibrium or<br />

steady state. This is accomplished by fitting <strong>the</strong> generated voltametric or amperometric<br />

sensor signals with a logarithmic function <strong>of</strong> response time. The methodology allows<br />

for using a simple linear or quadratic curve fitting equation for end point prediction. In<br />

addition, <strong>the</strong> curve fitting method requires methods to detect and eliminate incorrect<br />

data points that could cause an incorrect extrapolation, resulting in incorrect results.<br />

This paper will also discuss <strong>the</strong> processes selected to assure sample data integrity.<br />

Predictive end point methodology was applied to <strong>the</strong> sensor response in <strong>the</strong> GEM®<br />

Premier 4000 analyzers (Instrumentation Laboratory, Bedford, MA) during <strong>the</strong><br />

evaluation test. Sensor output is collected at one second intervals and <strong>the</strong> response<br />

from 15 to 30 seconds was used to predict <strong>the</strong> end result at 55 seconds. Data from six<br />

GEM Premier 4000 analyzers running five levels <strong>of</strong> quality control materials over a<br />

period <strong>of</strong> four weeks were pooled and processed. Examples <strong>of</strong> <strong>the</strong> predicted and actual<br />

end points for all sensor types are summarized in <strong>the</strong> following table. There is a good<br />

agreement between <strong>the</strong> predicted and actual values. This study demonstrates capability<br />

<strong>of</strong> <strong>the</strong> new predictive method for reducing time to result in clinical analyzers.<br />

Analytes QC Average from Average from Average<br />

Average from Average from<br />

QC<br />

Average<br />

traditional curve fitting <strong>of</strong> Analytes traditional curve fitting<br />

Level<br />

Level<br />

<strong>of</strong> Delta<br />

methodology methodology Delta<br />

methodology methodology<br />

PO2 1 35 32 -2.5 Sodium 1 107 107 -0.3<br />

2 51 49 -2.1 2 126 126 -0.4<br />

3 91 90 -1.5 3 140 140 -0.4<br />

4 262 263 0.8 4 156 157 -0.6<br />

5 565 571 6.2 5 178 179 -0.7<br />

PCO2 1 21 21 0.2 Potassium 1 1.18 1.18 -0.004<br />

2 36 35 -0.2 2 2.79 2.79 -0.007<br />

3 65 65 0.0 3 4.94 4.95 -0.011<br />

4 96 95 0.5 4 6.81 6.83 -0.020<br />

5 124 125 1.0 5 10.15 10.18 -0.026<br />

Glucose 1 17 17 0.07 Calcium 1 3.08 3.09 -0.018<br />

2 94 94 0.2 2 1.56 1.56 -0.007<br />

3 194 195 0.69 3 1.12 1.13 -0.004<br />

4 472 472 0.46 4 0.64 0.64 -0.002<br />

5 676 674 -2.01 5 0.35 0.35 0.000<br />

Lactate 1 0.4 0.4 0.01 Chloride 1 68 68 0.2<br />

2 0.9 0.9 0 2 83 83 0.2<br />

3 4.3 4.3 0.03 3 100 99 0.2<br />

4 10.3 10.4 0.08 4 127 127 0.4<br />

5 15.3 15.4 0.11 5 156 155 0.4<br />

Background: The thiol-containing amino acid, homocysteine (Hcy), produced in <strong>the</strong><br />

metabolism <strong>of</strong> methionine, has emerged as a risk factor for cardiovascular disease.<br />

Hcy measurement can also be useful in <strong>the</strong> diagnosis <strong>of</strong> B 12<br />

deficiency in untreated<br />

patients. This study examines <strong>the</strong> performance <strong>of</strong> an user defined reagent for <strong>the</strong><br />

measurement <strong>of</strong> Hcy on our two Beckman Coulter AU5822s (AU1, AU2) to replace<br />

previous measurement on <strong>the</strong> Beckman Coulter DxC800.<br />

Methods: Diazyme’s Homocysteine 2 enzymatic assay assesses a co-substrate<br />

conversion product instead <strong>of</strong> assessing a co-substrate or a Hcy conversion product.<br />

Homocysteine is reacted with a co-substrate, S-adenosylmethionine (SAM) to<br />

form methionine and S-adenosylhomocysteine (SAH) in a reaction catalyzed by<br />

Hcy S-methyltransferase. SAH hydrolyzed into adenosine (Ado) and Hcy by SAH<br />

hydrolase. The formed Ado is hydrolyzed into inosine and ammonia, which reacts<br />

with glutamate dehydrogenase, concomitantly converting NADH to NAD+, with <strong>the</strong><br />

change in absorbance monitored at 340nm. The concentration <strong>of</strong> Hcy is indirectly<br />

proportional to <strong>the</strong> amount <strong>of</strong> NADH converted.<br />

Results: Within run precision CVs (n=20) using two levels <strong>of</strong> controls were on 1.7%<br />

and 3.0% on AU1 and 2.4% and 2.2% on AU2. Between run precision (20 days) was<br />

6.1% and 2.5% on AU1 and 2.1% and 2.4% on AU2. The assay showed good linearity<br />

with 5 point calibrators across a range <strong>of</strong> 2.0-50 μmol/L with a slope <strong>of</strong> 0.999 and an<br />

intercept <strong>of</strong> -0.01 on AU1 and a slope <strong>of</strong> 0.978 and an intercept <strong>of</strong> -0.13 on AU2. The<br />

assay analytical sensitivity was 0.09 μmol/L on AU1 and 0.08 μmol/L on AU2 with a<br />

manufacturer stated sensitivity <strong>of</strong> 0.4 μmol/L. Method comparison results with patient<br />

samples (n=46, 5.8 to 24.6 μmol/L) to <strong>the</strong> DXC800 homocysteine gave Deming<br />

regression: AU1 = 0.957[DxC] + (-0.01) and AU2 = 1.068[DXC800] + (-0.98).<br />

Conclusion: The Diazyme’s Homocysteine 2 method on <strong>the</strong> AU5822 shows<br />

acceptable analytical performance.<br />

B-282<br />

Performance Evaluation <strong>of</strong> β-hydroxybutyrate on Beckman Coulter<br />

AU5822 Analyzer<br />

P. A. Vollmer 1 , M. K. Zimmerman 2 . 1<br />

Indiana University Health,<br />

Indianapolis, IN, 2 Indiana University School <strong>of</strong> Medicine, Indianapolis, IN<br />

Background: Ketosis can be seen in starvation, diabetes mellitus, acute<br />

illnesses as well as a normal biological response. When associated with a lifethreatening<br />

metabolic acidosis, <strong>the</strong> degree <strong>of</strong> ketosis can be assessed by measuring<br />

β-hydroxybutyrate(BOHB). It is a better measure <strong>of</strong> <strong>the</strong> degree <strong>of</strong> ketoacidosis<br />

than <strong>the</strong> o<strong>the</strong>r ketone bodies, acetoacetate and acetone. This study examines <strong>the</strong><br />

performance <strong>of</strong> an user defined reagent for <strong>the</strong> measurement <strong>of</strong> BOH on our two<br />

Beckman Coulter AU5822s (AU1, AU2) to replace previous measurement on <strong>the</strong><br />

Beckman Coulter DxC800.<br />

Methods: Stanbio Laboratory’s β-hydroxybutyrate LiquiColor® assay is<br />

enzymatically quantitates BOHB byusing D-3-hydroxybutyrate dehydrogenase<br />

to convert BOHB and NAD to acetoacetate and NADH. NADH reacts with INT<br />

(oxidized) in <strong>the</strong> presence <strong>of</strong> diaphorase to produce a colored product that is measured<br />

at 505 nm.<br />

Results: Within run precision CVs (n=20) using two levels <strong>of</strong> controls were on 0.0%<br />

and 0.8% on AU1 and 0.0% and 0.4% on AU2. Between run precision (20 days) was<br />

6.3% and 1.1% on AU1 and 1.3% and 0.8% on AU2. The assay showed good linearity<br />

with 7 point calibrators across a range <strong>of</strong> 0.02-8.00 mmol/L with a slope <strong>of</strong> 0.990<br />

and an intercept <strong>of</strong> -0.001 on AU1 and a slope <strong>of</strong> 1.065 and an intercept <strong>of</strong> -0.011 on<br />

AU2. The assay analytical sensitivity was 0.001 mmol/L on AU1 and 0.003 mmol/L<br />

on AU2 with a manufacturer stated sensitivity <strong>of</strong> 0.18 mmol/L. Method comparison<br />

results with patient samples (n=46, 0.05 to 11.25 mmol/L) to <strong>the</strong> DXC800 BOH gave<br />

Deming regression: AU1 = 1.005[DxC] + (-0.034) and AU2 = 1.022[DXC800] +<br />

(-0.046).<br />

Conclusion: Stanbio aboratories β-hydroxybutyrate LiquiColor® method on <strong>the</strong><br />

AU5822 shows acceptable analytical performance.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A255


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Electrolytes/Blood Gas/Metabolites<br />

B-283<br />

Spiked Samples Respond Differently in Two Bilirubin Methods after<br />

In Vitro Irradiation - Vanadate vs. Diazo Methods<br />

P. Datta, J. Dai. Siemens Healthcare Diagnostics, Tarrytown, NY<br />

Background: Serum total bilirubin (TBIL) can be measured by Diazo (measured<br />

at 552 nm) and Vanadate methods (measured at 451 nm). The Vanadate method<br />

used by <strong>the</strong> Siemens ADVIA® ChemistryTBIL_2 assay, has less interference from<br />

hemoglobin (λ max<br />

541 nm) than some <strong>of</strong> <strong>the</strong> Diazo methods. Bilirubin, when irradiated<br />

at 450 nm, undergoes conversion to photobilirubins (PBIL). PBIL can form in vitro or<br />

in vivo. The presence <strong>of</strong> PBIL in samples may impact <strong>the</strong> bilirubin measurement. We<br />

investigated <strong>the</strong> responses <strong>of</strong> 2 bilirubin methods to <strong>the</strong> presence <strong>of</strong> PBIL in native and<br />

spiked human serum samples.<br />

Methods:<br />

The Diazo reference bilirubin method was performed according to literature (Clin<br />

Chem 31:1779). The Vanadate method was performed on <strong>the</strong> ADVIA 1650 system<br />

using ADVIA Chemistry TBIL_2 reagents. Five serum samples spiked with<br />

unconjugated bilirubin ranging from 13.3-25.4 mg/dL and six native individual<br />

patient serum samples with bilirubin concentrations ranging from 7.8-25 mg/dL, were<br />

irradiated in vitro (on ice) at 450nm for 0, 10, and 30 minutes, and <strong>the</strong>n assayed<br />

immediately by 1)Diazo reference method, 2)ADVIA Chemistry TBIL_2 method, and<br />

3)wavelength scan on NanoDrop instrument to monitor <strong>the</strong> photobilirubin formation.<br />

Results: There is a good correlation between <strong>the</strong> reductions <strong>of</strong> bilirubin results with<br />

both methods vs. <strong>the</strong> percent reduction in sample absorbance at 455 nm (bilirubin<br />

peak) due to irradiation. With native patient samples without in vitro irradiation,<br />

<strong>the</strong> Vanadate method correlated well with <strong>the</strong> Diazo reference method. With spiked<br />

samples, differences in bilirubin results between <strong>the</strong>se two methods were observed.<br />

The difference is more obvious for spiked samples after irradiation:<br />

Irradiation Time (Min)<br />

Regression Equations (Y: Vanadate method; X: Diazo method)<br />

Native Sample<br />

Spiked Sample<br />

0 Y=1.0266x-0.268(r^2=0.9958) Y= 0.9892x+2.795(r^2=0.9982)<br />

10 Y=1.0622x+0.1412(r^2=0.9944) Y=1.1152x+2.648(r^2=0.9123)<br />

30 Y=1.1069x+0.5179(r^2=0.9828) Y=1.6102x-0.949(r^2=0.9918)<br />

Conclusion: Without in vitro irradiation, both Vanadate and Diazo methods measure<br />

bilirubin equivalently for <strong>the</strong> native samples; spiked bilirubin samples showed bias<br />

with Vanadate method. In vitro irradiation leads to higher impact on spiked samples<br />

than native samples in terms <strong>of</strong> <strong>the</strong> difference between <strong>the</strong> Vanadate and Diazo<br />

methods.<br />

A256 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Pediatric/Fetal Clinical Chemistry<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-284<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Pediatric/Fetal Clinical Chemistry<br />

Biological Variation and Quality Specifications for 38 Biochemical<br />

Markers in a Pediatric Population<br />

V. Bevilacqua, D. Bailey, D. A. Colantonio, M. D. Pasic, M. Chan, K.<br />

Adeli. Clinical Biochemistry, The Hospital for Sick Children, University <strong>of</strong><br />

Toronto, Toronto, ON, Canada<br />

Background: Studies <strong>of</strong> biological variation provide insight into <strong>the</strong> physiological<br />

changes that occur within- and between-subjects for a given analyte. In a clinical<br />

context, values obtained from such investigations are especially crucial for patient<br />

monitoring and follow up processes. Fur<strong>the</strong>rmore, this information can be used to<br />

establish quality specifications. Specifically, in order to ensure appropriate clinical<br />

interpretation <strong>of</strong> lab test results, analytical error must be significantly lower than<br />

biological variation seen in an individual or population. A consensus statement<br />

published in <strong>the</strong> Scandinavian Journal <strong>of</strong> Clinical and Laboratory Investigation<br />

states that basing quality specifications on biological variation is <strong>the</strong> preferred model,<br />

second only to determining quality specifications based on <strong>the</strong> effect <strong>of</strong> analytical<br />

performance on specific clinical decision making, an exceptionally difficult and time<br />

consuming approach.<br />

Purpose: This study aimed to evaluate <strong>the</strong> short-term biological variation <strong>of</strong> 38<br />

chemistry, lipid, enzyme and protein analytes in a pediatric population (N=29) and<br />

to assess <strong>the</strong> effect <strong>of</strong> age-specific partitions on interindividual variation. In addition,<br />

quality specifications for precision, bias, and total allowable error were calculated<br />

from <strong>the</strong> biological variation values. Finally, differences in biological variation<br />

between pediatric and adult populations were assessed.<br />

Methods: Within a 10-hour period, four plasma samples were obtained from each <strong>of</strong><br />

29 healthy children (52% males) aged 4-18. Samples were drawn after an overnight<br />

fast, mid-morning after breakfast, within 2h after lunch and in <strong>the</strong> late afternoon.<br />

Samples were stored at -80-degrees and analyzed in three batches, with 9-10 subjects<br />

per batch, in order to quantify all analytes without introducing additional freeze-thaw<br />

cycles. Intra-individual and inter-individual biological variation were established<br />

using nested analysis <strong>of</strong> variance after exclusion <strong>of</strong> outliers using Tukey outlier test.<br />

Analytical quality specifications were established using <strong>the</strong> method outlined by Fraser.<br />

Results: Biological variation and analytical variation coefficients as well as analytical<br />

goals (precision, bias, total allowable error) were established using a pediatric<br />

population for 38 chemistry, lipid, enzyme and protein assays. Age-partitioning was<br />

required for six analytes (alkaline phosphatase, AST, creatinine, LDH, phosphate, and<br />

uric acid). Most results, with <strong>the</strong> exception <strong>of</strong> CRP and iron, were in line with adult<br />

values found in <strong>the</strong> Westgard database on biological variation. In addition, biological<br />

variation and analytical goals for two previously unreported analytes, unconguated<br />

bilirubin and soluble transferrin receptor, were established.<br />

Conclusion: This study is <strong>the</strong> first to examine biological variation and to establish<br />

analytical quality specifications based on biological variation for common assays in<br />

a pediatric population. These results provide insight into pediatric physiology, are <strong>of</strong><br />

use for reference change value calculations, clarify <strong>the</strong> appropriateness <strong>of</strong> reference<br />

interval use, and aid in <strong>the</strong> development <strong>of</strong> quality management strategies specific to<br />

pediatric laboratories.<br />

B-285<br />

CLSI-based Transference <strong>of</strong> <strong>the</strong> CALIPER Database <strong>of</strong> Pediatric<br />

Reference Intervals: Direct Validation Using Reference Samples from<br />

<strong>the</strong> CALIPER Cohort<br />

M. Estey 1 , A. Cohen 1 , D. Colantonio 1 , M. Chan 1 , T. Binesh Marvasti 1 , E.<br />

Randell 2 , E. Delvin 3 , J. Cousineau 3 , V. Grey 4 , D. Greenway 5 , Q. Meng 6 ,<br />

B. Jung 7 , J. Bhuiyan 7 , D. Seccombe 8 , K. Adeli 1 . 1 The Hospital for Sick<br />

Children, Toronto, ON, Canada, 2 Eastern Health, St. John’s, NL, Canada,<br />

3<br />

Sainte-Justine Hospital, Montreal, QC, Canada, 4 McMaster Children<br />

Hospital, Hamilton, ON, Canada, 5 The Ottawa Hospital, Ottawa, ON,<br />

Canada, 6 Royal University Hospital, Saskatoon, SK, Canada, 7 BC<br />

Children’s Hospital, Vancouver, BC, Canada, 8 CEQAL, Vancouver, BC,<br />

Canada<br />

Objectives: The CALIPER program recently established a comprehensive database<br />

<strong>of</strong> age- and sex-stratified pediatric reference intervals for fourty biochemical markers.<br />

However, this database was only directly applicable for Abbott ARCHITECT assays.<br />

We <strong>the</strong>refore sought to expand <strong>the</strong> applicability <strong>of</strong> this database to biochemical<br />

assays from o<strong>the</strong>r major manufacturers, allowing for a much wider application <strong>of</strong> <strong>the</strong><br />

CALIPER database.<br />

Methodology: Based on CLSI C28-A3 and EP9-A2 guidelines, CALIPER reference<br />

intervals were transferred (using specific statistical criteria) to assays performed<br />

on four o<strong>the</strong>r commonly used clinical chemistry platforms including <strong>the</strong> Beckman<br />

Coulter DxC800, Ortho Vitros 5600, Roche Cobas 6000, and Siemens Vista 1500<br />

analyzers. The resulting reference intervals were subjected to a thorough validation<br />

using 100 reference specimens (healthy community children and adolescents) from<br />

<strong>the</strong> CALIPER bio-bank, and all testing centres participated in an external quality<br />

assessment (EQA) evaluation.<br />

Results: In general, <strong>the</strong> transferred pediatric reference intervals were similar to those<br />

established in our previous study. However, assay-specific differences in reference<br />

limits were observed for many analytes, and in some instances were considerable.<br />

The results <strong>of</strong> <strong>the</strong> EQA evaluation generally mimicked <strong>the</strong> similarities and differences<br />

in reference limits amongst <strong>the</strong> five manufacturer’s assays. In addition, <strong>the</strong> majority<br />

<strong>of</strong> transferred reference intervals were validated through <strong>the</strong> analysis <strong>of</strong> CALIPER<br />

reference samples.<br />

Conclusions and relevance: This study greatly extends <strong>the</strong> utility <strong>of</strong> <strong>the</strong> CALIPER<br />

reference interval database, which is now directly applicable for assays performed on<br />

five major analytical platforms in clinical use. The expanded database should permit<br />

<strong>the</strong> worldwide application <strong>of</strong> CALIPER pediatric reference intervals.<br />

B-287<br />

Excellent Diagnostic Performance <strong>of</strong> <strong>the</strong> Quanta-Flash® Celiac<br />

Disease Assays in <strong>the</strong> Pediatric Population<br />

P. Martis 1 , R. Burlingame 1 , P. Carrion 1 , M. Alessio 2 , G. Previtali 2 , G. Lakos 1 .<br />

1<br />

INOVA Diagnostics, Inc., San Diego, CA, 2 Dipartimento di Patologia<br />

Clinica, Laboratorio Analisi, AO Papa Giovanni XXIII, Bergamo, Italy<br />

Background: The diagnosis <strong>of</strong> celiac disease (CD) has traditionally depended upon<br />

intestinal biopsies, but serological markers such as endomysial antibodies (EMA),<br />

anti -tissue transglutaminase (tTG) antibodies, and more recently, anti-deamidated<br />

gliadin petide (DGP) antibodies have been gaining a lot <strong>of</strong> attention and significance.<br />

Recently, <strong>the</strong> European Society for Pediatric Gastroenterology, Hepatology, and<br />

Nutrition (ESPGHAN) published guidelines allowing <strong>the</strong> diagnosis <strong>of</strong> CD without a<br />

biopsy in some situations. Consequently, more weight is placed on serological tests.<br />

The QUANTA-Flash® h-tTG IgA and<br />

IgG, and DGP IgA and IgG are new, fully automated microparticle chemiluminescent<br />

immunoassays (CIA) for <strong>the</strong> measurement <strong>of</strong> CD antibodies. Our goal was to evaluate<br />

<strong>the</strong> diagnostic performance <strong>of</strong> <strong>the</strong>se assays in <strong>the</strong> pediatric population.<br />

Methods: One hundred-seventy four to 232 pediatric samples (depending on <strong>the</strong><br />

type <strong>of</strong> <strong>the</strong> assay) were tested with <strong>the</strong> CD specific tests. The cohorts included CD<br />

patients and controls who sought medical attention because <strong>of</strong> various CD-suggestive<br />

symptoms, but in whom CD was excluded based on physical exam and diagnostic<br />

tests. Diagnostic sensitivity and specificity <strong>of</strong> each assay were calculated, and<br />

compared to characteristics obtained on an adult population <strong>of</strong> altoge<strong>the</strong>r 476 to 556<br />

patients and controls.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A257


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Pediatric/Fetal Clinical Chemistry<br />

Results:<br />

CD patients and controls were divided into age groups (infant, child and adolescent)<br />

according to <strong>the</strong> recommendation <strong>of</strong> <strong>the</strong> FDA. Clinical sensitivity and specificity <strong>of</strong><br />

<strong>the</strong> individual antibody assays were calculated for <strong>the</strong> three age groups separately, and<br />

also for <strong>the</strong> total pediatric population. Sensitivity values for tTG IgA, tTG IgG, DGP<br />

IgA and DGP IgG antibodies ranged from 66.7% to 100%, from 44.4%<br />

to 62.7%, from 50.0% to 66.7% and from 66.7% to 95.6%, for <strong>the</strong> above mentioned<br />

assays in <strong>the</strong> three separate age groups. Specificity values ranged from 96.6% to 100%<br />

and from 94.6% to 100% for tTG IgA and DGP IgG, and were 100% in each age group<br />

for tTG IgG and DGP IgA, respectively. Diagnostic sensitivity in <strong>the</strong> total pediatric<br />

population was 96.0%, 58.5%, 63.5% and 88.9% for tTG IgA, tTG<br />

IgG, DGP IgA and DGP IgG antibodies. Specificity was 97.3 and 96.4% for tTG<br />

IgA and DGP IgG, and 100% for tTG IgG and DGP IgA assays, respectively. In<br />

comparison, <strong>the</strong> sensitivity values were 94.3%, 43.9%, 77.4% and 89.4 % for <strong>the</strong> four<br />

assays in <strong>the</strong> adult population, and specificity was 98.7% for <strong>the</strong> tTG IgA, tTG IgG,<br />

and DGP IgG assays, and 99.6% for <strong>the</strong> DGP IgA assay.<br />

Conclusion:<br />

Diagnosis <strong>of</strong> celiac disease in children is critical, but <strong>the</strong> performance <strong>of</strong> serological<br />

assays in this population is <strong>of</strong>ten suboptimal. The new QUANTA Flash assays for <strong>the</strong><br />

diagnosis <strong>of</strong> CD have similar, and in some cases better diagnostic performance in <strong>the</strong><br />

pediatric population as that seen in <strong>the</strong> adult population.<br />

B-288<br />

Development <strong>of</strong> an Immunoassay for Alpha-Fetoprotein (AFP) for <strong>the</strong><br />

ARCHITECT® i2000 and i2000SR Analyzers<br />

S. Moore 1 , D. O’Donnell 1 , S. Sullivan 1 , W. Castellani 2 , J. Straseski 3 ,<br />

F. Apple 4 , M. Petruso 5 , J. Yen 1 , S. Du 1 , B. Renley 1 , M. Paradowski 1 .<br />

1<br />

Abbott, Abbott Park, IL, 2 Hershey Medical Center, Hershey, PA, 3 ARUP<br />

Laboratories, Salt Lake City, UT, 4 Hennepin County Medical Center and<br />

Minneapolis Medical Research Foundation, Minneapolis, MN, 5 Nationwide<br />

Laboratory Services, Fort Lauderdale, FL<br />

Introduction: An automated assay for <strong>the</strong> quantitative detection <strong>of</strong> AFP in human<br />

serum, plasma and amniotic fluid, with a measuring interval up to 2000ng/mL, has<br />

been developed for <strong>the</strong> US on <strong>the</strong> Abbott ARCHITECT i2000, i2000SR and i1000SR<br />

systems. The ARCHITECT AFP assay is based on paramagnetic microparticle<br />

chemiluminescent technology and uses <strong>the</strong> CHEMIFLEX ® technology allowing for<br />

excellent precision, sensitivity, and accuracy. The assay is intended for use in prenatal<br />

testing to aid in <strong>the</strong> detection <strong>of</strong> open neural tube defects (NTD) and in monitoring<br />

disease progression during <strong>the</strong> course <strong>of</strong> disease and treatment <strong>of</strong> patients with<br />

nonseminomatous testicular cancer. Note: This assay is not currently approved in <strong>the</strong><br />

US for use on <strong>the</strong> ARCHITECT i1000SR system.<br />

Methods: The purpose <strong>of</strong> this study was to evaluate <strong>the</strong> clinical and analytical<br />

performance <strong>of</strong> <strong>the</strong> ARCHITECT AFP assay. Clinical evaluation included total<br />

imprecision, determination <strong>of</strong> expected values, and sensitivity and specificity for<br />

open NTD. For analytical evaluation, limit <strong>of</strong> detection (LoD), limit <strong>of</strong> quantitation<br />

(LoQ), linearity, recovery <strong>of</strong> <strong>the</strong> WHO 1 st international standard 72/225, interference<br />

from potential substances, and correlation to <strong>the</strong> currently marketed FDA approved<br />

AxSYM AFP assay were assessed.<br />

Results: The within-laboratory (total) imprecision (%CV) across three clinical testing<br />

sites for <strong>the</strong> ARCHITECT AFP assay ranged from 3.8 to 5.4 %CV. Clinical sensitivity<br />

across calculated MoM values for open NTD was between 95.45% and 99.71% for<br />

maternal serum and 98.65% and 99.55% for amniotic fluid. Clinical specificity across<br />

calculated MoM values for open NTD was between 71.43% and 95.24% for maternal<br />

serum and 94.74% and 100% for amniotic fluid. The observed LoD was 0.04 ng/mL<br />

and <strong>the</strong> observed LoQ was 0.5 ng/mL. The AFP assay demonstrated linearity from<br />

0.91 ng/mL to 2487.76 ng/mL. For serum specimens, <strong>the</strong> mean percent recovery <strong>of</strong><br />

WHO was 103.1% (range 99.5% to 108.6%) and for amniotic fluid specimens, <strong>the</strong><br />

mean percent recovery was 101.2% (range 95.1% to 107.3%). Interference was less<br />

than 10% for those tested. Method comparison with <strong>the</strong> Abbott AxSYM AFP, using<br />

<strong>the</strong> Deming Regression method, had a correlation coefficient <strong>of</strong> 0.998 and a slope <strong>of</strong><br />

0.92.<br />

Conclusion: These results demonstrate that <strong>the</strong> ARCHITECT AFP assay <strong>of</strong>fers<br />

a sensitive, precise, and accurate assay (as demonstrated by linearity and WHO<br />

recovery) with good clinical sensitivity and specificity for open NTD. Running <strong>the</strong><br />

assay on <strong>the</strong> ARCHITECT platform allows for <strong>the</strong> benefits <strong>of</strong> rapid results and highthroughput<br />

automation as a diagnostic tool for <strong>the</strong> detection <strong>of</strong> AFP.<br />

The study was funded by Abbott Laboratories.<br />

B-289<br />

Complex biological pattern <strong>of</strong> fertility hormones in children and<br />

adolescents: A study <strong>of</strong> healthy children from <strong>the</strong> CALIPER cohort<br />

and establishment <strong>of</strong> pediatric reference intervals<br />

J. L. Shea 1 , D. Konforte 2 , L. Kyriakopoulou 3 , D. Colantonio 3 , A. Cohen 1 ,<br />

J. Shaw 4 , D. Bailey 1 , M. Chan 3 , D. Armbruster 5 , K. Adeli 3 . 1 University <strong>of</strong><br />

Toronto, Toronto, ON, Canada, 2 LifeLabs, Toronto, ON, Canada, 3 Hospital<br />

for Sick Children, Toronto, ON, Canada, 4 The Ottawa Hospital, Ottawa,<br />

ON, Canada, 5 Abbott Diagnostics, Chicago, IL<br />

Background: Pediatric endocrinopathies are commonly diagnosed and monitored<br />

by measuring hormones <strong>of</strong> <strong>the</strong> hypothalamic-pituitary-gonadal axis. As growth<br />

and development can markedly influence normal circulating concentrations <strong>of</strong><br />

fertility hormones, accurate reference intervals established based on a healthy, nonhospitalized<br />

pediatric population and that reflect age-, gender-, and pubertal stagespecific<br />

changes are essential for test result interpretation.<br />

Methods: Healthy children and adolescents (n = 1234) were recruited from a multiethnic<br />

population as part <strong>of</strong> <strong>the</strong> CALIPER Study. After written, informed parental<br />

consent was obtained, participants filled out a questionnaire including demographic<br />

and pubertal development information (assessed by self-reported Tanner stage)<br />

and provided a blood sample. Measurement <strong>of</strong> seven fertility hormones including<br />

estradiol, testosterone (2nd generation), progesterone, SHBG, prolactin, FSH, and LH<br />

was performed on <strong>the</strong> Abbott ARCHITECT i2000 analyzer. These data were <strong>the</strong>n used<br />

to calculate age-, gender-, and Tanner stage-specific reference intervals according to<br />

CLSI C28-A3 guidelines.<br />

Results: We observed a complex pattern <strong>of</strong> change in each analyte concentration from<br />

<strong>the</strong> neonatal period to adolescence. Consequently, many age and gender partitions<br />

were required to cover <strong>the</strong> changes in most fertility hormones over this period. An<br />

exception to this was prolactin, for which no gender partition and only three age<br />

partitions were necessary.<br />

Conclusions: This comprehensive database <strong>of</strong> pediatric reference intervals for fertility<br />

hormones will be <strong>of</strong> global benefit and should lead to improved diagnosis <strong>of</strong> pediatric<br />

endocrinopathies. The new database will need to be validated in local populations and<br />

for o<strong>the</strong>r immunoassay platforms as recommended by CLSI.<br />

B-290<br />

Marked Biological Variance in Endocrine and Biochemical Markers<br />

in Childhood: Establishment <strong>of</strong> Pediatric Reference Intervals using<br />

Healthy Community Children from <strong>the</strong> CALIPER Cohort<br />

D. Colantonio 1 , D. Bailey 1 , L. Kyriakopoulou 1 , A. Cohen 1 , M. Chan 1 , D.<br />

Armbruster 2 , K. Adeli 1 . 1 The Hospital for Sick Children, Toronto, ON,<br />

Canada, 2 Abbott Diagnostics, Chicago, IL<br />

Background: Reference intervals are indispensable in evaluating laboratory test<br />

results yet appropriately partitioned pediatric reference values are not readily<br />

available. The CALIPER program is aimed at establishing <strong>the</strong> influence <strong>of</strong> age,<br />

gender, ethnicity, and BMI on biochemical markers and developing a comprehensive<br />

database <strong>of</strong> pediatric reference intervals using an a posteriori approach.<br />

Methods: A total <strong>of</strong> 1482 samples were collected from ethnically diverse healthy<br />

children aged two days to 18 years and analyzed on <strong>the</strong> Abbott Architect i2000.<br />

Following <strong>the</strong> CLSI C28-A3 guidelines, age- and sex-specific partitioning was<br />

determined for each analyte. Non-parametric and robust methods were used to<br />

establish <strong>the</strong> 2.5th and 97.5th percentiles for <strong>the</strong> reference intervals as well as <strong>the</strong> 90%<br />

confidence intervals.<br />

Results: New pediatric reference intervals were generated for 15 biomarkers<br />

including alpha-fetoprotein, cobalamin (vitamin B12), folate, homocysteine, ferritin,<br />

cortisol, insulin, troponin I, 25(OH)D, intact PTH, TSH, total T4, total T3, free T4,<br />

and free T3. The influence <strong>of</strong> ethnicity and body-mass index percentile (BMIP) on<br />

reference values was also examined showing a significant BMIP effect for insulin<br />

and statistically significant ethnic differences for FT4, TT3, TT4, cobalamin, ferritin,<br />

iPTH, and 25(OH)D.<br />

Conclusions: This study establishes comprehensive pediatric reference intervals<br />

for a number <strong>of</strong> common endocrine and special chemistry biomarkers obtained in a<br />

large cohort <strong>of</strong> healthy children. The new database will be <strong>of</strong> global benefit ensuring<br />

appropriate interpretation <strong>of</strong> pediatric disease biomarkers, but would need to be<br />

fur<strong>the</strong>r validated for specific immunoassay platforms and in local populations as<br />

recommended by CLSI.<br />

A258 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Pediatric/Fetal Clinical Chemistry<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-291<br />

Clinical Impact <strong>of</strong> <strong>the</strong> BuBc Slide Recalibration by Ortho Clinical<br />

Diagnostics<br />

A. M. Ferguson, T. Nguyen, U. Garg. Children’s Mercy Hospitals and<br />

Clinics, Kansas Ctiy, MO<br />

Introduction: Ortho Clinical Diagnostics’ method <strong>of</strong> measuring bilirubin is unique<br />

when compared to o<strong>the</strong>r commonly used methods. The difference between <strong>the</strong><br />

methods is <strong>the</strong> way different bilirubin fractions are measured or calculated. Total<br />

bilirubin is measured with <strong>the</strong> TBIL slide that measures both conjugated (including<br />

bilirubin covalently bound to albumin called delta bilirubin) and unconjugated<br />

bilirubin species. Most o<strong>the</strong>r methods calculate <strong>the</strong> concentration <strong>of</strong> unconjugated<br />

bilirubin by subtracting <strong>the</strong> direct reacting fraction containing <strong>the</strong> conjugated species<br />

from <strong>the</strong> total value <strong>of</strong> bilirubin. Ortho platforms use a separate slide, BuBc, that<br />

directly measures both conjugated (excluding delta bilirubin) and unconjugated<br />

fractions. Ano<strong>the</strong>r advantage <strong>of</strong> <strong>the</strong> BuBc slide is that it has an ultrafiltration layer that<br />

excludes large molecules, such as hemoglobin, which minimizes <strong>the</strong> interference from<br />

hemolysis. The ultrafiltration layer also excludes albumin, which is why <strong>the</strong> BuBc<br />

slide does not measure delta bilirubin, but it allows <strong>the</strong> calculation <strong>of</strong> delta bilirubin<br />

(TBIL-BuBc). In May <strong>of</strong> 2012, Ortho notified customers that due to complaints<br />

about a positive bias in pr<strong>of</strong>iciency testing results, <strong>the</strong>re would be an adjustment in<br />

<strong>the</strong> calibrator values for <strong>the</strong> BuBc slides. There was no accompanying change to <strong>the</strong><br />

TBIL slides.<br />

Objective: To describe <strong>the</strong> clinical impact <strong>the</strong> recalibration <strong>of</strong> <strong>the</strong> BuBc slides had<br />

on a pediatric hospital.<br />

Results and Conclusions: Since bilirubin concentrations can be measured using both<br />

<strong>the</strong> TBIL and BuBc slides, <strong>the</strong>re are different options for how values are reported. To<br />

match with o<strong>the</strong>r bilirubin methods, our institution reported <strong>the</strong> total bilirubin value<br />

from <strong>the</strong> TBIL slide, <strong>the</strong> unconjugated bilirubin value from <strong>the</strong> BuBc slide, and a<br />

calculated conjugated value derived from subtracting <strong>the</strong> unconjugated value from <strong>the</strong><br />

total. This allows any delta bilirubin that may be present in <strong>the</strong> patient to be accounted<br />

for in <strong>the</strong> conjugated value. After <strong>the</strong> recalibration <strong>of</strong> <strong>the</strong> BuBc slides, we began<br />

receiving calls from clinicians stating that <strong>the</strong>y were seeing an increase in patients,<br />

especially neonates, with elevated conjugated bilirubins that necessitated consults<br />

with gastrointestinal specialists to rule out conditions such as biliary atresia. The<br />

week prior to <strong>the</strong> recalibration, 3.8% <strong>of</strong> conjugated bilirubin results were elevated,<br />

but <strong>the</strong> week after recalibration, <strong>the</strong> rate increased to 35%. It was determined that<br />

<strong>the</strong>se calculated values were falsely elevated due to <strong>the</strong> lowering <strong>of</strong> <strong>the</strong> values from<br />

<strong>the</strong> BuBc slide with no change in <strong>the</strong> values reported from <strong>the</strong> TBIL slide. During<br />

our investigation and consultation with Ortho Diagnostics, <strong>the</strong> laboratory began to<br />

report out all measured values from <strong>the</strong> two slides. The new reporting strategy led<br />

to concerns from our hepatology team, since delta bilirubin was no longer included<br />

with <strong>the</strong> conjugated bilirubin value, and this complicated <strong>the</strong> interpretation <strong>of</strong> longstanding<br />

patient values. Working toge<strong>the</strong>r with both <strong>the</strong> neonatologists and <strong>the</strong><br />

gastroenterologists, <strong>the</strong> laboratory devised a new reporting scheme for bilirubin<br />

results based on <strong>the</strong> age <strong>of</strong> <strong>the</strong> patient. We have also continued to share data with<br />

Ortho Diagnostics to determine if <strong>the</strong> recalibrated BuBc slides had been adjusted too<br />

much.<br />

B-292<br />

Analysis <strong>of</strong> urinary succinylacetone by UPLC-MS/MS for monitoring<br />

<strong>of</strong> patients with tyrosinemia type I.<br />

A. Liu 1 , M. Alston 2 , R. Guymon 2 , N. Longo 3 , M. Pasquali 3 . 1 ARUP Instute<br />

for Clinical and Experimental Pathology, Salt Lake City, UT, 2 ARUP<br />

Laboratories, Salt Lake City, UT, 3 University <strong>of</strong> Utah Health Sciences<br />

Center, Salt Lake City, UT<br />

Background: Tyrosinemia Type I (Tyr-I) is an autosomal recessive disorder<br />

caused by deficiency <strong>of</strong> fumarylacetoacetate hydrolase in <strong>the</strong> catabolic pathway<br />

<strong>of</strong> tyrosine. Patients present with progressive liver diseases, neurological crises,<br />

and hypophosphatemic rickets. Untreated patients with Tyr-I excrete large amount<br />

<strong>of</strong> succinylacetoacetate (SAA), succinylacetone (SUAC), and 5-aminolevulinic<br />

acid (5-ALA). Nitisinone (NTBC) <strong>the</strong>rapy prevents formation <strong>of</strong> succinylacetone<br />

and dramatically improves liver and kidney functions. Long term <strong>the</strong>rapy requires<br />

monitoring <strong>of</strong> SUAC and 5-ALA in addition to plasma amino acids. This assay is<br />

designed for accurate measurement <strong>of</strong> low concentrations <strong>of</strong> SUAC and 5-ALA in<br />

urine to evaluate compliance and efficacy <strong>of</strong> <strong>the</strong>rapy.<br />

Method: Total SUAC (SAA + SUAC) and 5-ALA were measured by external<br />

calibration using stable isotope labeled SUAC as internal standard with Ultra<br />

Performance Liquid Chromatography (UPLC) separation and tandem mass<br />

spectrometry MS/MS detection. The sample preparation included high temperature<br />

incubation with hydrazine solution in acidic condition to convert both SAA and SUAC<br />

into SUAC hydrazone and subsequent butylation to form SUAC hydrazone and<br />

5-ALA butyl esters. The analytes were separated by reverse phase chromatography<br />

and detected by tandem mass spectrometry. The assay was performed on Acquity<br />

UPLC / Xevo TQ system.<br />

Results: This assay is linear from 0.010 to 100 mmol/mole creatinine for both, SUAC<br />

and 5-ALA. The SUAC signal to noise ratio at <strong>the</strong> limit <strong>of</strong> detection, 0.005 mmol/<br />

mole creatinine, was greater than 10. The within run and between run imprecision was<br />

evaluated at 5 different concentrations for each analyte within <strong>the</strong> respective linear<br />

range, and was less than 5.0% for SUAC and less than 8.7% for 5-ALA, except at <strong>the</strong><br />

sensitivity limit where it was less than 9.5%. With this assay, we have measured <strong>the</strong><br />

excretion <strong>of</strong> total succinylacetone in normal controls 0-17 years <strong>of</strong> age and in patients<br />

with Tyr-I before and after <strong>the</strong>rapy with NTBC. The normal range for SUAC was <<br />

0.30 mmol/mol creatinine. Patients with Tyr-I had a markedly increased excretion <strong>of</strong><br />

total SUAC, which rapidly returned to normal level with initiation <strong>of</strong> NTBC <strong>the</strong>rapy.<br />

Conclusion: This method is suitable for monitoring 5-ALA and SUAC levels in<br />

patients with Tyr-I.<br />

B-293<br />

Stability Testing <strong>of</strong> a Noninvasive Prenatal Test (NIPT) in a Clinical<br />

Setting - <strong>the</strong> MaterniT21 PLUS Laboratory-Developed Test<br />

R. C. Tim 1 , J. A. Tynan 2 , T. J. Jensen 1 , L. Cagasan 1 , V. Lu 1 , L. Liu 1 , S.<br />

Sovath 1 , M. Riviere 1 , P. Oeth 1 , M. Ehrich 2 . 1 Sequenom Center for Molecular<br />

Medicine, San Diego, CA, 2 Sequenom, Inc., San Diego, CA<br />

Background: Excellent clinical performance <strong>of</strong> a noninvasive test for fetal<br />

aneuploidies using next-generation sequencing has been demonstrated by several<br />

laboratories. This study demonstrates <strong>the</strong> robustness <strong>of</strong> <strong>the</strong> processes involved<br />

in one such assay, <strong>the</strong> MaterniT21 PLUS laboratory-developed test, focusing on<br />

reproducibility and stability <strong>of</strong> <strong>the</strong> results.<br />

Methods: The study was divided into two portions to determine <strong>the</strong> robustness<br />

<strong>of</strong> <strong>the</strong> MaterniT21 PLUS test. The first was designed to measure repeatability and<br />

reproducibility <strong>of</strong> chromosomal representation in a pool <strong>of</strong> plasma DNA isolated<br />

from women at increased risk for fetal aneuploidy with a known euploid fetus as<br />

determined by fetal karyotyping. For <strong>the</strong>se experiments, plasma DNA obtained from<br />

1000 women was combined and used to prepare over 1000 libraries. These libraries<br />

were sequenced and analyzed for variability <strong>of</strong> chromosomal representation. The<br />

second portion <strong>of</strong> <strong>the</strong> study was designed to investigate <strong>the</strong> stability <strong>of</strong> <strong>the</strong> post-PCR<br />

workflow processes. For this part <strong>of</strong> <strong>the</strong> study, a set <strong>of</strong> libraries was generated for<br />

use throughout <strong>the</strong> entire series <strong>of</strong> experiments, comprised <strong>of</strong> 44 known euploid and<br />

44 known trisomy 21 samples. For each experimental subset, all factors were kept<br />

constant, including operator, reagent lots, and instruments, except for <strong>the</strong> particular<br />

variable <strong>of</strong> interest. All flow cells from both portions <strong>of</strong> <strong>the</strong> study were clustered on<br />

<strong>the</strong> Illumina cBOT in 12-plex and sequenced on <strong>the</strong> HiSeq® 2000 (Illumina®, San<br />

Diego, California). Sequencing reads were de-multiplexed, aligned to <strong>the</strong> human<br />

genome with Bowtie2 and chromosomal representations were determined.<br />

Results: Results demonstrate that while library concentrations and raw aligned counts<br />

may be variable from plate to plate, chromosomal representation is remarkably stable<br />

for <strong>the</strong> pooled maternal plasma DNA samples processed by multiple operators, across<br />

library batches, and measured on multiple sequencing instruments. One-way ANOVA<br />

p-values were found to be 0.37, 0.69 and 0.16 across operators, library batches and<br />

sequencers, respectively. From <strong>the</strong> second part <strong>of</strong> this study, no significant differences<br />

in classification z-score values were found across flow cells as a function <strong>of</strong> library<br />

storage time, flow cell storage time, reagent lot, or sequencing instrument. One-way<br />

ANOVA p-values were 0.44, 0.38, 0.89 and 0.87 for library storage time, flow cell<br />

storage time, reagent lot and sequencer, respectively. Both sensitivity and specificity<br />

for each <strong>of</strong> <strong>the</strong>se experimental subsets were determined to be nearly 100%.<br />

Conclusion: This study demonstrates <strong>the</strong> stability for use <strong>of</strong> <strong>the</strong> MaterniT21 PLUS<br />

test across operators and instruments and reveals <strong>the</strong> low variability for discrete<br />

process steps <strong>of</strong> <strong>the</strong> assay.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A259


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Pediatric/Fetal Clinical Chemistry<br />

B-294<br />

Serum Total Calcium Concentrations in <strong>the</strong> Vitamin D-replete<br />

Pediatric Population<br />

J. D. Roizen 1 , M. A. Levine 1 , V. Shah 2 , D. C. Carlow 2 . 1 Children’s Hospital<br />

<strong>of</strong> Philadelphia, Division <strong>of</strong> Endocrinology and Diabetes, Philadelphia,<br />

PA, 2 Children’s Hospital <strong>of</strong> Philadelphia, Department <strong>of</strong> Pathology and<br />

Laboratory Medicine, Philadelphia, PA,<br />

Introduction: Widespread vitamin D insufficiency in pediatric and adult populations<br />

raises doubts about <strong>the</strong> credibility <strong>of</strong> current reference values for serum calcium,<br />

which have been determined using uncharacterized “normal subjects.”<br />

Objective: We <strong>the</strong>refore sought to determine age-adjusted normal ranges for serum<br />

total calcium concentrations in pediatric subjects with normal (20 – 80 ng/mL) serum<br />

levels <strong>of</strong> 25(OH)D.<br />

Methods: We reviewed clinical and laboratory data <strong>of</strong> inpatient and outpatients<br />

subjects (n = 5868) ranging from full term newborns to greater than 19 years who<br />

had a serum levels <strong>of</strong> total calcium and 25(OH)D measured in <strong>the</strong> CHOP clinical<br />

chemistry lab. Serum calcium was measured using a colorimetric assay (VITROS 5, 1<br />

FS automated chemistry system) and serum total 25(OH)D was determined by LS/MS/<br />

MS (analytical sensitivity <strong>of</strong> 4 ng/mL for 25(OH)D 2<br />

and 25(OH)D 3<br />

). After excluding<br />

patients with renal or endocrine disease or who had been managed in <strong>the</strong> endocrine<br />

clinic or a critical care unit, we ascertained 4628 subjects who had serum 25(OH)D<br />

levels that were 20-80 ng/mL within 30 days <strong>of</strong> <strong>the</strong>ir serum calcium measurement. We<br />

used EP Evaluator v9 s<strong>of</strong>tware (Data Innovations, Inc) in accordance with National<br />

Committee for Clinical Laboratory Standards (NCCLS) guidelines to analyze <strong>the</strong> data.<br />

Results: Parametric analysis generated age-specific reference intervals for serum total<br />

calcium: 0-90 day-old infants (7.8-11.3 mg/dL); 91-180 day old infants (8.8-11.2 mg/<br />

dL), 181-365 day old children (8.8-11.4 mg/dL), 1-3 year old children (8.8-11.1 mg/<br />

dL), 4-11 year old children (8.8-10.7 mg/dL), 12-19 year old children (8.5-10.6 mg/<br />

dL), patients under 19 years <strong>of</strong> age (8.6-10.9 mg/dL) and patients greater than 19<br />

years old (8.6-10.9 mg/dL). Non-parametric analyses yielded ranges that were within<br />

5% <strong>of</strong> <strong>the</strong> values obtained by parametric analyses. Two-way ANOVA with Tukey’s<br />

correction for multiple post-tests showed significant differences between <strong>the</strong> lower<br />

limits <strong>of</strong> normal (p


Pediatric/Fetal Clinical Chemistry<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-297<br />

A Novel Rapid and Flexible Blood Lead Testing System: Evaluation<br />

Versus <strong>the</strong> Reference Method<br />

R. Morse, R. Feeney, M. West. Magellan Diagnostics, North Billerica, MA<br />

Background: According to <strong>the</strong> CDC and <strong>the</strong> WHO, approximately 500,000 US<br />

children have elevated blood lead levels and 120 million people are exposed<br />

worldwide, <strong>the</strong> vast majority in developing countries. Because most individuals have<br />

no overt clinical symptoms, <strong>the</strong> only way to determine exposure is through a blood<br />

lead test. We evaluated <strong>the</strong> performance <strong>of</strong> <strong>the</strong> LeadCare ® Ultra System, a new<br />

blood lead testing system designed for use in <strong>the</strong> clinical laboratory.*<br />

Methods: The accuracy <strong>of</strong> LeadCare Ultra was determined by a method comparison<br />

study conducted over five days at two hospital laboratory sites, each <strong>of</strong> which analyzed<br />

100 whole blood samples with both LeadCare Ultra and GFAAS. The precision <strong>of</strong><br />

<strong>the</strong> LeadCare Ultra System was determined by testing samples at four concentration<br />

levels over twenty days.<br />

Results: The method comparison study produced a regression <strong>of</strong> y = 0.970x + 0.813,<br />

R 2 = 0.993. Table 1 summarizes <strong>the</strong> precision <strong>of</strong> <strong>the</strong> LeadCare Ultra system at 4<br />

clinical decision points.<br />

Table 1: Precision <strong>of</strong> LeadCare Ultra<br />

Conc. Total SD (ug/dL) Within Run SD (ug/dL)<br />

5 ug/dL 0.81 0.65<br />

10 ug/dL 0.90 0.79<br />

25 ug/dL 1.43 1.20<br />

45 ug/dL 1.62 1.55<br />

Conclusion: The LeadCare Ultra System is designed to be a quantitative blood<br />

lead testing system, clinically equivalent to GFAAS. According to <strong>the</strong> results <strong>of</strong> this<br />

study, <strong>the</strong> system met <strong>the</strong>se specifications.*At <strong>the</strong> time <strong>of</strong> abstract submission, this<br />

system is under review and pending 510(k) clearance from <strong>the</strong> US Food and Drug<br />

Administration.<br />

B-299<br />

Effect <strong>of</strong> nephrotoxic drug and pathologies <strong>of</strong> preterm infants on<br />

cystatin C values at birth<br />

C. Bermudo Guitarte, J. Garcia de Veas Silva, S. Caparrós Cánovas, L.<br />

Bardallo Cruzado, E. Perez González, V. Perna Rodriguez, P. Menéndez<br />

Valladares, C. Gonzalez Rodriguez. HOSPITAL UNIVERSITARIO<br />

VIRGEN MACARENA, SEVILLE, Spain<br />

Background: Cystatin C (Cys) is a single chain unglycosylated basic protein <strong>of</strong> low<br />

molecular weight (13.360 kD) with 120 aminoacids and two disulfide bridges. Cys is<br />

produced at a constant rate in all nucleated cells and less influenced by muscle mass,<br />

gender or age than creatinine (Cr) so this protein is a good marker <strong>of</strong> renal function<br />

in newborn infants.<br />

Objectives: <strong>the</strong> objetives <strong>of</strong> <strong>the</strong> present study are two:<br />

1.To measure Cystatin C values in preterm infants (PI) in <strong>the</strong> first week <strong>of</strong> life (birth,<br />

48-72 hours and a 7 days <strong>of</strong> life)<br />

2.To determine if <strong>the</strong> values <strong>of</strong> Cystatin C are affected by pathologies <strong>of</strong> preterm<br />

infants and nephrotoxic drugs (antibiotics, antifungals and ibupr<strong>of</strong>en)<br />

Methods: Blood samples <strong>of</strong> 110 children were collected at birth (from umbilical<br />

cord), at 48-72 hours <strong>of</strong> life and seven days <strong>of</strong> life. The period <strong>of</strong> study was two<br />

years. Cys was measured by nephelometry (BNII Siemens) and Cr by photometry.<br />

The variables studied were weight, respiratory disease, nephrotoxic drugs and<br />

hypotensive/normotensive status. Data were expressed as mean ± standard errors. The<br />

statistical analysis was performed with <strong>the</strong> IBM SPSS Statistics 20 using Chi-square<br />

test and one way repeated measures ANOVA with a statistical significance <strong>of</strong> p1500 g (N=73) 1,63±0,48 1,46±0,58 1,56±0,52<br />

Preterm with respiratory disease (N=46) 1,49±0,25 1,25±0,24 1,43±0,33<br />

Preterm without respiratory disease (N=62) 1,63±0,51 1,54±0,60 1,62±0,55<br />

Preterm with nephrotoxic treatment (N=74) 1,54±0,48 1,38±0,56 1,55±0,57<br />

Preterm without nephrotoxic treatment (N=34) 1,63±0,27 1,48±0,34 1,51±0,19<br />

Hypotensive preterm (N=12) 1,42±0,33 1,14±0,15 1,35±0,30<br />

Normotensive preterm (N=96) 1,59±0,44 1,45±0,52 1,56±0,49<br />

B-300<br />

Amniotic fluid glucose provides superior sensitivity in identifying<br />

subclinical intra-amniotic infection compared with gram stain and<br />

bacterial culture<br />

J. W. Meeusen, L. J. Ouverson, N. A. Baumann, D. R. Block. Mayo Clinic,<br />

Rochester, MN<br />

Background: Intra-amniotic infection (IAI) can be a life-threatening complication<br />

and is estimated to occur in as many as 13% <strong>of</strong> all pregnancies. Patients present<br />

with uterine tenderness, fever, leukocytosis, and tachycardia (maternal or fetal)<br />

<strong>of</strong>ten in <strong>the</strong> context <strong>of</strong> pre-term labor necessitating a rapid decision on whe<strong>the</strong>r<br />

to proceed with delivery to prevent sepsis at <strong>the</strong> cost <strong>of</strong> increased fetal morbidity/<br />

mortality. Amniocentesis is performed to identify infection within <strong>the</strong> maternal-fetal<br />

compartment. Bacterial culture <strong>of</strong> amniotic fluid is <strong>the</strong> gold standard for diagnosing<br />

IAI, however, glucose is <strong>of</strong>ten used as a surrogate with initiation <strong>of</strong> treatment if <strong>the</strong><br />

glucose concentration is low (


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Pediatric/Fetal Clinical Chemistry<br />

B-301<br />

Increased Pregnancy Associated Plasma Protein A (PAPP-A) and<br />

free beta-human chorionic gonadotrophin (Fb-hCG) values due to<br />

sample transportation. Impact on calculated risk for chromosomal<br />

abnormalities.<br />

A. Haliassos 1 , C. Tsafaras 1 , M. Rizou 1 , K. Makris 2 , D. Rizos 3 . 1 Diamedica<br />

SA, A<strong>the</strong>ns, Greece, 2 Clinical Biochemistry Department, KAT General<br />

Hospital, Kifissia, Greece, 3 Hormone Laboratory, 2nd Dept <strong>of</strong> Obstetrics<br />

& Gynecology, Medical School University <strong>of</strong> A<strong>the</strong>ns, Aretaieion Hospital,<br />

A<strong>the</strong>ns, Greece<br />

Pregnancy-associated plasma protein-A (PAPP-A) and free beta-subunit <strong>of</strong> human<br />

chorionic gonadotrophin (Fb-hCG) are <strong>the</strong> two established biochemical markers that<br />

are used, along with <strong>the</strong> ultrasound marker nuchal translucency, in <strong>the</strong> routine prenatal<br />

screening for chromosomal abnormalities in <strong>the</strong> first trimester <strong>of</strong> pregnancy. For<br />

practical and economical reasons, samples (separated sera) for <strong>the</strong>se measurements<br />

very <strong>of</strong>ten travel long distances between <strong>the</strong> sampling points (specialized prenatal<br />

screening centers, small clinics and laboratories) and core laboratories, sometimes<br />

exposed at high temperatures.<br />

The aim <strong>of</strong> our study was to evaluate <strong>the</strong> preanalytical influence <strong>of</strong> sample stay at<br />

room temperatures (modeling real transport conditions) on PAPP-A and Fb-hCG<br />

concentrations and <strong>the</strong> possible impact on <strong>the</strong> calculated risk for chromosomal<br />

abnormalities.<br />

We evaluated 31 serum samples measured on Kryptor (Brahms Gmbh, Berlin-<br />

Germany) or Elecsys (Roche Diagnostics Gmbh, Mannheim-Germany) analyzers. We<br />

measured <strong>the</strong> PAPP-A and Fb-hCG concentration <strong>of</strong> <strong>the</strong> samples just after sampling<br />

(0h), 24 and 48 hours later, keeping <strong>the</strong> samples at room temperature (20-22 o C i.e.<br />

68-72 o F) and in <strong>the</strong> freezer (-20 o C i.e. -4 o F) as reference. In 10 <strong>of</strong> <strong>the</strong> samples we also<br />

calculated <strong>the</strong> risk for trisomy-21 with an in-house s<strong>of</strong>tware, using <strong>the</strong> markers’ values<br />

at 0, 24 and 48 hours.<br />

Our results are presented in <strong>the</strong> following Table:<br />

Percent (%) Increase (median-range)<br />

Duration/analyzer Fb-hCG PAPP-A<br />

24h / Kryptor<br />

13.5% (2.8 - 17.7)<br />

10.2% (4.6-19.3)<br />

24h / Elecsys<br />

6.2% (-1.2 - 23.0)<br />

7.8% (2.9-15.3)<br />

Total 24h 10.0% (-1.2 - 23.0) 10.0% (2.9 -19.3)<br />

48h / Kryptor<br />

29.5% (17.4 - 44.8) 20.8% (10.6 - 35.7)<br />

48h / Elecsys<br />

15.6% (2.0 - 40.8)<br />

13.3% (6.1 - 31.4)<br />

Total 48 h 25.2% (2.0 - 44.8) 20.2% (6.1 - 35.7)<br />

We observed a median increase <strong>of</strong> 10% for both Fb-hCG and PAPP-A at 24h and 25.2%<br />

for Fb-hCG and 20.2% increase for PAPP-A at 48h, but not for <strong>the</strong> freezed samples<br />

(PAPP-A: +1,25% and FbhCG: +1,68%). Measurements with Kryptor showed higher<br />

increases for both markers at 24h and 48h. The increase was statistically significant<br />

for Fb-hCG. The increase was also independent <strong>of</strong> <strong>the</strong> initial concentration for both<br />

markers.<br />

The calculated risk for trisomy-21 remained practically unchanged at 0, 24 and 48<br />

hours, probably due to <strong>the</strong> opposite effects that <strong>the</strong> increase <strong>of</strong> PAPP-A and Fb-hCG<br />

has on <strong>the</strong> risk magnitude.<br />

B-302<br />

Evaluation <strong>of</strong> cardiac markers in children undergoing hematopoietic<br />

stem cell transplant<br />

G. Ozturk 1 , B. Tavil 2 , M. Ozguner 3 , Z. Ginis 1 , G. Erden 1 , B. Tunc 4 , F. Azik 4 ,<br />

D. Uckan 2 , N. Delibas 1 . 1 Diskapi Yildirim Beyazit Education and Research<br />

Hospital,Department <strong>of</strong> Clinical Biochemistry, Ankara, Turkey, 2 Hacettepe<br />

University,Faculty <strong>of</strong> Medicine, Department <strong>of</strong> Pediatric Hematology,<br />

Ankara, Turkey, 3 Ankara Children’s Hematology and Oncology Hospital,<br />

Ankara, Turkey, 4 Ankara Children’s Hematology and Oncology Hospital,<br />

Department <strong>of</strong> Pediatric Hematology, Ankara, Turkey<br />

Background: Hematopoietic stem cell transplantation (HSCT) is presently <strong>the</strong><br />

only proven curative treatment choice for defined malignant and non-malignant<br />

haematological disorders, solid tumors, and autoimmune disorders in children. It is a<br />

complex <strong>the</strong>rapeutic procedure involving administration <strong>of</strong> high-dose chemo<strong>the</strong>rapy,<br />

immunosuppressive <strong>the</strong>rapy, and/or radio<strong>the</strong>rapy, followed by intravenous infusion<br />

<strong>of</strong> hematopoietic stem cells to re-establish marrow function. The main drawbacks<br />

<strong>of</strong> HSCT are early transplant-related mortality and late complications, which<br />

interfere with patient outcome, health status and quality <strong>of</strong> life. Early life-threatening<br />

cardiotoxicity and cardiac death have been reported after HSCT. The aim <strong>of</strong> <strong>the</strong><br />

current study was to evaluate cardiac toxicity <strong>of</strong> conventional chemo<strong>the</strong>rapy followed<br />

by HSCT with cardiac markers: heart-type fatty acid binding protein (H-FABP),<br />

glycogen phosphorylase BB (GPBB),high sensitive C reactive protein (hsCRP)<br />

cardiac troponin I, (cTnI), creatine kinase MB (CK-MB mass) and myoglobin.<br />

Methods: A total <strong>of</strong> 20 children(6 girls and 14 boys) who underwent HSCT for<br />

malignant (n:12, 60%) and non-malignant diseases (n:8, 40%) between <strong>the</strong> ages <strong>of</strong><br />

1-20 years at Ankara Children’s Hematology and Oncology Hospital. All children<br />

included in this study had completed <strong>the</strong>ir 100 days after transplantation. Blood<br />

samples were collected from all patients in 0.,7. and 21.day for evaluating H-FABP,<br />

GPBB, hsCRP , cTnI, CK-MB mass and myoglobin. Measurements <strong>of</strong> H-FABP(<br />

Hycult biotech, Ne<strong>the</strong>rlands), GPBB (Cusabio biotech, China) and hsCRP (DRG<br />

International Inc.,USA) were performed using <strong>the</strong> commercially available enzymelinked<br />

immunosorbent assay (ELISA) kit in accordance with <strong>the</strong> manufactures’<br />

instructions. CK-MB mass, Troponin I and myoglobin were analyzed by using an<br />

automated immunoassay method (ADVIA Centaur CP System Siemens Healthcare<br />

Diagnostics Inc.,USA ). The patients’ echocardiography was assessed before and after<br />

one-month <strong>of</strong> HSCT.<br />

Results: 21.day serum HFABP level was significantly higher when compared with<br />

<strong>the</strong> 0. day HFABP level (p


Pediatric/Fetal Clinical Chemistry<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-305<br />

Maternal serum Matrix MetaloProteinase-9 levels in pregnancies<br />

complicated with pre-eclampsia or had small for gestational age<br />

infants.<br />

G. Karampas 1 , M. Rizou 2 , A. Haliassos 2 , M. Elef<strong>the</strong>riades 3 , D. Hassiakos 4 , C.<br />

Panoulis 4 , N. Vitoratos 4 , D. Rizos 5 . 1 Obstetrics & Gynecology Department,<br />

“Konstantopoulio” General Hospital, N. Ionia, Greece, 2 Diamedica SA,<br />

A<strong>the</strong>ns, Greece, 3 Embryo Care, Fetal Medicine Unit, A<strong>the</strong>ns, Greece, 4 2nd<br />

Dept <strong>of</strong> Obstetrics & Gynecology, Medical School, University <strong>of</strong> A<strong>the</strong>ns,<br />

Aretaieio Hospital, A<strong>the</strong>ns, Greece, 5 Hormone Laboratory, 2nd Dept <strong>of</strong><br />

Obstetrics & Gynecology, Medical School, University <strong>of</strong> A<strong>the</strong>ns, Aretaieio<br />

Hospital, A<strong>the</strong>ns, Greece<br />

Matrix metalloproteinase 9 (MMP-9) belongs to <strong>the</strong> Matrix Metalloproteinases<br />

(MMPs) family which can be produced by numerous cell types. MMPs have <strong>the</strong><br />

ability to break down several proteins <strong>of</strong> <strong>the</strong> extracellular matrix and <strong>the</strong>y actively<br />

participate in remodeling <strong>the</strong> extracellular matrix by degrading important matrix<br />

scaffold macromolecules. Injuries and pregnancy can elevate <strong>the</strong>ir protein deposition.<br />

In several studies maternal serum MMP-9 levels have been reported elevated in preeclampsia<br />

(PE) compared to normal pregnancies. On <strong>the</strong> contrary, <strong>the</strong>re are fewer<br />

studies on MMP-9 in pregnancies that had a small for gestational age infant (SGA).<br />

In our study we examined 32 normal pregnancies, 12 pregnancies that developed PE<br />

and 15 pregnancies that had SGA infant (defined by birth weight


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Pediatric/Fetal Clinical Chemistry<br />

RDS, using clinical, laboratory and radiographic findings. Using <strong>the</strong>se data, logistic<br />

regression (Stata Corp, College Station, TX) was used to predict <strong>the</strong> risk <strong>of</strong> RDS at<br />

each week <strong>of</strong> gestation based upon <strong>the</strong> LBC.<br />

Results: 357 patients were included in <strong>the</strong> analysis. The mean GA at time <strong>of</strong> sample<br />

was 36 6/7 weeks gestation (SD 2.0). The median time between sample collection<br />

and delivery was 1 day (IQR 1-6). 31.4% <strong>of</strong> patients had preexisting or gestational<br />

diabetes, 10.6% had polyhydramnios and 62.2% were born via cesarean section.<br />

There were 18 cases (5%) <strong>of</strong> RDS. The predicted risk <strong>of</strong> RDS based upon LBC for<br />

GA is summarized in Table 1.<br />

Conclusion: Gestational age-specific predicted risk <strong>of</strong> RDS using LBC provides a<br />

statistical model which can aid clinicians in individually counseling patients regarding<br />

<strong>the</strong> absolute risk <strong>of</strong> <strong>the</strong>ir newborn developing RDS. This information will be especially<br />

useful for those whose laboratories utilize <strong>the</strong> Advia 120 for <strong>the</strong> measurement <strong>of</strong> LBC.<br />

Table 1: Predicted Risk <strong>of</strong> RDS based on Lamellar Body Count(LBC) and Gestational Age<br />

LBC (counts/uL) 30 wks 32 wks 33 wks 34 wks 35 wks 36 wks 37 wks 38 wks 40 wks<br />

10000-14999 56.3% 36.7% 28.0% 20.6% 14.8% 10.5% 7.3% 5.0% 2.3%<br />

15000-19999 51.4% 32.2% 24.1% 17.6% 12.5% 8.7% 6.0% 4.1% 1.9%<br />

20000-24999 46.5% 28.1% 20.7% 14.9% 10.5% 7.3% 5.0% 3.4% 1.5%<br />

25000-29999 41.6% 24.2% 17.7% 12.6% 8.8% 6.1% 4.2% 2.8% 1.2%<br />

30000-34999 36.9% 20.8% 15.0% 10.6% 7.3% 5.0% 3.4% 2.3% 1.0%<br />

35000-39999 32.4% 17.7% 12.6% 8.8% 6.1% 4.2% 2.8% 1.9% 0.8%<br />

40000-44999 28.3% 15.0% 10.6% 7.4% 5.1% 3.4% 2.3% 1.6% 0.7%<br />

45000-49999 24.4% 12.7% 8.9% 6.1% 4.2% 2.8% 1.9% 1.3% 0.5%<br />

50000-54999 21.0% 10.6% 7.4% 5.1% 3.5% 2.4% 1.6% 1.1% 0.4%<br />

55000-59999 17.9% 8.9% 6.2% 4.2% 2.9% 1.9% 1.3% 0.9% 0.4%<br />

60000-64999 15.2% 7.4% 5.1% 3.5% 2.4% 1.6% 1.1% 0.7% 0.3%<br />

65000-69999 12.8% 6.2% 4.2% 2.9% 1.9% 1.3% 0.9% 0.6% 0.2%<br />

70000-74999 10.7% 5.1% 3.5% 2.4% 1.6% 1.1% 0.7% 0.5% 0.2%<br />

>75000 9.0% 4.2% 2.9% 2.0% 1.3% 0.9% 0.6% 0.4% 0.1%<br />

B-309<br />

Sweating <strong>the</strong> small stuff: Determinants <strong>of</strong> adequacy and accuracy in<br />

sweat chloride determination<br />

M. L. DeMarco, D. J. Dietzen, S. M. Brown. Washington University, St<br />

Louis, MO<br />

Background: Sweat chloride testing is <strong>the</strong> primary diagnostic test for cystic fibrosis<br />

(CF) and recently its role has expanded to include monitoring <strong>the</strong> <strong>the</strong>rapeutic response<br />

to CFTR modulating drugs. The minimum sweat rate currently required for valid<br />

chloride analysis is 75 mg over 30 minutes following pilocarpine iontophoresis.<br />

Neonatal patients frequently do not generate adequate sweat for testing. Our objectives<br />

were to: 1) describe variables that determine sweat rate; 2) determine <strong>the</strong> analytic and<br />

diagnostic capacity <strong>of</strong> sweat chloride analysis across <strong>the</strong> range <strong>of</strong> observed sweat<br />

rates; and 3) determine <strong>the</strong> biologic variability <strong>of</strong> sweat chloride concentration in our<br />

predominantly pediatric population.<br />

Methods: Sweat was collected on gauze and chloride determined using a<br />

Biodynamics LyteTek titrator. A retrospective analysis was performed using data from<br />

all sweat chloride tests performed at St. Louis Children’s Hospital over a 21-month<br />

period (January, 2011 to September, 2012). A total <strong>of</strong> 1398 sweat chloride tests (1155<br />

sufficient, 243 QNS based on <strong>the</strong> 75 mg cut<strong>of</strong>f), were performed on 904 individuals.<br />

Variables included in <strong>the</strong> data analysis were: (1) age, (2) sweat site (arm v. leg), (3)<br />

patient location (outpatient v. inpatient), (4) sweat weight, (5) sweat chloride result,<br />

and (6) genetic testing for CF. Functional sensitivity <strong>of</strong> chloride determination was<br />

evaluated by adding known amounts <strong>of</strong> NaCl in solution (0.1, 1, 2, 3, and 4 μmoles <strong>of</strong><br />

chloride) to gauze and testing in duplicate for 5 consecutive days.<br />

Results: Of <strong>the</strong> 1398 sweat collections, 243 (17.4%) were < 75 mg. Eleven percent <strong>of</strong><br />

patient encounters resulted in no valid sweat collection. The sweat weight collected<br />

from arms was statistically greater than that collected from legs (P 75 mg was 13.1% (95% CI: 11.3-14.9%; range<br />

0-88%) yielding a reference change value <strong>of</strong> 36%. There were 69 patients with<br />

independent sweat collections considered sufficient or insufficient using <strong>the</strong> 75 mg<br />

collection requirement. Among <strong>the</strong>se 69 patients <strong>the</strong>re were 89 sufficient and 95<br />

insufficient collections. Using 60 mM as <strong>the</strong> diagnostic chloride cut<strong>of</strong>f and employing<br />

a sweat weight requirement <strong>of</strong> only 20 mg, <strong>the</strong>re were no discrepancies in qualitative<br />

diagnostic classification.<br />

Conclusions: 1) Collection <strong>of</strong> sweat from arms is preferable to legs, particularly<br />

in very young infants in whom sweat collection is <strong>of</strong>ten difficult; 2) sweat chloride<br />

concentrations are not highly dependent upon sweat rate; 3) a change in sweat chloride<br />

concentration exceeding 36% may be considered a clinically significant response to<br />

CFTR targeted <strong>the</strong>rapy, and 4) sweat collections <strong>of</strong> less than 75 mg may provide<br />

clinically relevant information despite current recommendations.<br />

B-310<br />

Reference interval <strong>of</strong> metabolic analytes from healthy Brazilian<br />

children and adolescents from Cuiabá, Mato Grosso, Brazil<br />

N. Slhessarenko 1 , A. Andriolo 2 , R. Azevedo 3 , C. Pereira 4 , G. Novak 5 , A.<br />

Vieira 5 , C. Jacob 2 . 1 DASA, Cuiabá, Brazil, 2 Universidade Federal de São<br />

Paulo, São Paulo, Brazil, 3 USP, São Paulo, Brazil, 4 DASA, São Paulo,<br />

Brazil, 5 Universidade Federal de Mato Grosso, Cuiabá, Brazil<br />

Background: The definition <strong>of</strong> Reference Intervals (RIs) <strong>of</strong> biological analytes<br />

in paediatric patients is a hard task, mainly by <strong>the</strong> definition <strong>of</strong> RIs interval and<br />

difficulties <strong>of</strong> blood collection in healthy children. In Brazil, <strong>the</strong> RIs commonly used<br />

are poorly defined and not uniformly determined. Moreover, due to <strong>the</strong> peculiarities<br />

<strong>of</strong> Brazilian population, probably <strong>the</strong> analytes values should be different from those <strong>of</strong><br />

o<strong>the</strong>r countries, point out <strong>the</strong> necessity to determine <strong>the</strong>m for this specific population.<br />

Objective: The aim <strong>of</strong> this study was to determine <strong>the</strong> RI <strong>of</strong> some metabolic analytes<br />

(glucose, total cholesterol and fractions, triglycerides, serum insulin and vitamin D)<br />

<strong>of</strong> healthy children and adolescents from Cuiabá, Brazil.<br />

Method: The sample was composed by healthy participants aged from 1y to 12 y 11<br />

m and 29 days, from schools and nurseries from Cuiabá. The inclusion criteria were:<br />

absence <strong>of</strong> chronic diseases and regular usage <strong>of</strong> drugs, besides <strong>the</strong> parental consent.<br />

A questionnaire about <strong>the</strong> health status <strong>of</strong> participants was applied to parents and<br />

after, all participants were submitted to physical examination and blood collection.<br />

All blood samples were identified and prepared until analysis. The RIs were generated<br />

according to <strong>the</strong> statistical analysis included <strong>the</strong> following tests: Bartlett, multivariance<br />

analysis, Kruskal Wallis and Bonferroni post hoc test.<br />

Results: After statistical analysis, <strong>the</strong> age groups were divided into different groups<br />

according to <strong>the</strong> analyte evaluated. It has been proposed reference ranges for each<br />

<strong>of</strong> <strong>the</strong>se analytes. For total cholesterol were proposed: 1 year (84 to 91 mg/dL), 02<br />

to 05 years (97-202 mg/dL) and 6 to 12 years (103 to 207 mg/dL). For triglycerides,<br />

age ranges and reference intervals were proposed: 01 years (23 to 177 mg/dL), 02-03<br />

years (26 to 140 mg/dL) and 04 to 12 years (19 to 131 mg/dL). For glucose, age ranges<br />

and reference intervals were proposed: 01 years (52 to 85 mg/dL), 02-03 years (57-88<br />

mg/dL), 04 to 06 years (60 to 92 mg/dL) , 07 to 10 years (66 to 93 mg/dL) and 11 to 12<br />

(67 to 100 mg/dL).For insulin, age ranges and reference intervals were proposed: 01<br />

to 04 years (up to 7.4 microUI/mL), 05 to 08 years (up to 11.6 microUI/mL), 09 to 10<br />

years (up to 16,4 microUI/mL), 11 to 12 years (up to 26,7 microUI/mL). For Vitamin<br />

D age ranges and references intervals were proposed: 01 to 04 years (21 a 60 ng/mL)<br />

and 05 to 12 years (19 to 57 ng/mL).<br />

Conclusion: The tracks proposals and <strong>the</strong> values obtained were similar to those<br />

found in o<strong>the</strong>r studies around <strong>the</strong> world involving children and adolescents but<br />

o<strong>the</strong>r analytes would be evaluated regarding to establishment <strong>the</strong> RI in <strong>the</strong> Brazilian<br />

Paediatric Population.<br />

B-312<br />

Implementation <strong>of</strong> a Quality Improvement Program to Improve Sweat<br />

test performance in a Pediatric Hospital<br />

B. AQIL 1 , A. WEST 2 , M. DOWLIN 2 , E. TAM 2 , C. NORDSTROM 2 , G.<br />

BUFFONE 1 , S. DEVARAJ 1 . 1 BAYLOR COLLEGE OF MEDICINE,<br />

HOUSTON, TX, 2 TEXAS CHILDRENS HOSPITAL, HOUSTON, TX<br />

Background: All positive screening <strong>of</strong> newborns for Cystic fibrosis using <strong>the</strong> driedblood<br />

spot 2-tiered immunoreactive trypsinogen/DNA method require subsequent<br />

sweat chloride testing for confirmation. Obtaining an adequate volume <strong>of</strong> sweat to<br />

measure chloride is a challenge for many cystic fibrosis centers across <strong>the</strong> nation.<br />

The standard for patients older than 3 months is a less than 5% quantity not sufficient<br />

(QNS) rate and for less than 3 months is less than 10% QNS.<br />

Objective: Using <strong>the</strong> Wescor Macroduct method, at our hospital laboratory QNS rate<br />

was more than double <strong>of</strong> what is recommended for CF centers and thus, <strong>the</strong> objective<br />

was to set up a quality improvement (QI) program for sweat testing to improve QNS<br />

rates.<br />

Results: Quantity not sufficient rates were evaluated for 4 months before and 8<br />

months after implementation for patients aged 3 months or younger and those older<br />

than 3 months. The QI program included changes in technician training, in service,<br />

A264 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Pediatric/Fetal Clinical Chemistry<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

site <strong>of</strong> collection, mode <strong>of</strong> collection, weekly review and forms to screen patients for<br />

medications that may alter sweat production. A marked improvement was observed in<br />

<strong>the</strong> rates <strong>of</strong> QNS which declined considerably from 16.7 to 8.5% (< 3 months old) and<br />

from 9.3 to 2.2% (> 3 months old) after implementation <strong>of</strong> <strong>the</strong> QI program initiative<br />

in both age categories.<br />

Conclusion: This report demonstrates <strong>the</strong> effectiveness <strong>of</strong> <strong>the</strong> QI program in<br />

significantly improving QNS rates in sweat chloride testing in a pediatric hospital.<br />

B-313<br />

The urine sediment: so much for so little<br />

G. Pérez-Moya, A. I. Alvarez-Rios, B. Pineda-Navarro, M. Ariza, J. M.<br />

Guerrero. Hospital Universitario Virgen del Rocío, Sevilla, Spain<br />

Background: Cystinuria is an autosomal recessive hereditary disease, caused by<br />

a defect in intestinal and renal tubular transport <strong>of</strong> cystine, lysine, ornithine and<br />

arginine. Increased urinary excretion <strong>of</strong> cystine associated to an acidic pH promotes<br />

<strong>the</strong> formation <strong>of</strong> crystals and causes <strong>the</strong> formation <strong>of</strong> kidney and bladder stones,<br />

usually bilateral. It is <strong>the</strong> cause <strong>of</strong> approximately 6-10% stones in children. Clinically<br />

manifested by recurrent urolithiasis symptoms and complications that flow from it.<br />

Medical treatment has limited effectiveness and <strong>of</strong>ten need to resort to surgery.<br />

We present a case in which <strong>the</strong> first diagnostic finding was <strong>the</strong> observation <strong>of</strong> crystals<br />

<strong>of</strong> cystine in <strong>the</strong> urinary sediment.<br />

Methods: A one year child was admitted for study <strong>of</strong> febrile syndrome with urinary<br />

symptoms. We performed a renal ultrasound and observed a small nephrolithiasis<br />

without hydronephrosis secondary to obstruction. No family history refers<br />

nephrolithiasis, paternal grandfa<strong>the</strong>r was diagnosed with bladder cancer. No relevant<br />

medical history.<br />

We initiated nephrolithiasis metabolic study. The first thing was to analyze urinary<br />

sediment with analyzer Max-Sedimax Aution (Menarini). Hexagonal and plans<br />

crystals are observed, consistent with cystine crystals. Subsequently Brand test is<br />

performed, a qualitative determination <strong>of</strong> cystine concentration in urine, and it was<br />

positive. Dietary measures were recommended, oral fluids to ensure a copious urine<br />

volume and sodium restriction. Medical treatment consisted <strong>of</strong> urine alkalinization<br />

with potassium citrate which improves cystine solubility and a cystine chelator,<br />

captopril. Successful cystinuria´s treatment required monitoring <strong>of</strong> compliance very<br />

closely in order to prevent complications.<br />

Six months after <strong>the</strong> diagnosis we could analyze <strong>the</strong> renal stone, for infrared<br />

spectrometry (Nicolet 200 GO) confirmed <strong>the</strong> cystine (95 %) and carboxiapatita (5<br />

%) composition.<br />

The patient had a favorable outcome until now. He is two years old.<br />

Results: In this case <strong>the</strong> first diagnosis finding was hexagonal plans crystals <strong>of</strong> <strong>the</strong><br />

urine sediment, which are patognomonic <strong>of</strong> cystinuria. According to <strong>the</strong> literature<br />

available, we find <strong>the</strong>m only in 25% <strong>of</strong> pediatric patients<br />

Conclusion: Overall, urinary sediment examination is <strong>the</strong> most widely requested<br />

biological test among <strong>the</strong> medical pr<strong>of</strong>ession. Its value is undeniable when properly<br />

performed and accurately assessed. However, experience shows that recent mass<br />

testing has detracted from <strong>the</strong> care required to perform a proper urine sediment<br />

examination.<br />

Cystinuria is a complex kidney disease. We would like to emphasize <strong>the</strong> importance<br />

<strong>of</strong> early diagnosis and closely monitoring <strong>of</strong> disease development as well as <strong>the</strong><br />

complicated treatments in <strong>the</strong>se patients. They have an increased risk <strong>of</strong> developing<br />

progressive Kidney failure and need dialysis or a kidney transplant.<br />

Treatment for cystinuria have advanced little in <strong>the</strong> past 30 years, alkalinization and<br />

thiol <strong>the</strong>rapy with tiotropin, D- penicillamine, bucilamina y captopril are appropiate.<br />

O<strong>the</strong>r pharmacologic <strong>the</strong>rapies are in development, <strong>the</strong> new inhibitors <strong>of</strong> cystine<br />

crystallizaton.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A265


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Lipids/Lipoproteins<br />

B-316<br />

Wednesday, July 31, <strong>2013</strong><br />

Poster Session: 9:30 AM - 5:00 PM<br />

Lipids/Lipoproteins<br />

Performance Evaluation <strong>of</strong> an Automated Assay for Lipoprotein-<br />

Associated Phospholipase A2 (Lp-PLA2) Activity<br />

H. Callanan, A. S. Jaffe, A. K. Saenger. Mayo Clinic, Rochester, MN<br />

Background: Lipoprotein-associated phospholipase A 2<br />

(Lp-PLA 2<br />

) is a serine lipase<br />

produced by macrophages and lymphocytes which circulates bound primarily to<br />

LDL and Lp(a) and cleaves oxidized lipids from apoB-100 containing lipoproteins.<br />

Inhibition <strong>of</strong> Lp-PLA 2<br />

activity with darapladib has been shown to reduce a<strong>the</strong>rosclerotic<br />

lesion size and assessment <strong>of</strong> enzyme activity has potential value for predicting risk<br />

<strong>of</strong> future cardiovascular events. Due to known pre- and post-analytical problems<br />

with <strong>the</strong> automated and manual Lp-PLA 2<br />

mass assays, we collaboratively developed<br />

and validated an automated Lp-PLA 2<br />

activity assay (diaDexus, San Francisco, CA)<br />

suitable for high-throughput testing. Objective: establish <strong>the</strong> analytical performance<br />

characteristics <strong>of</strong> <strong>the</strong> Lp-PLA 2<br />

activity assay on <strong>the</strong> Roche Cobas 6000/c501.<br />

Methods: Specific test parameters for Lp-PLA 2<br />

activity were determined using an open<br />

user-defined channel on <strong>the</strong> Cobas 6000/c501 (Roche Diagnostics, Indianapolis, IN).<br />

Activity is determined by spectrophotometrically monitoring <strong>the</strong> rate <strong>of</strong> 4-nitrophenol<br />

formed and calibration is achieved using a 5-point calibration curve (0-400 nmol/<br />

min/mL). Analytical performance was established for <strong>the</strong> following parameters:<br />

specimen type, stability, precision, linearity, accuracy/recovery, analytical sensitivity,<br />

method comparison (Beckman AU400 vs. Cobas), reference range, reagent lot-to-lot<br />

comparison, on-board reagent stability and analytical specificity.<br />

Results: EDTA plasma is <strong>the</strong> historic preferred specimen type and used as <strong>the</strong><br />

comparator. Serum yielded similar results to EDTA plasma with a mean difference<br />

<strong>of</strong> -1.2% and -0.5% for red top and SST tubes, respectively. Sample stability was<br />

established for serum and plasma and acceptable for ambient (≤ 4 hours), refrigerated<br />

(≤ 31 days) and frozen at -20 and -70°C (≤ 31 days) temperatures, with a mean<br />

difference <strong>of</strong> ≤ 3.6% over a range <strong>of</strong> activity values (122-225 nmol/min/mL). Multiple<br />

freeze/thaw cycles had minimal influence (range: 0.2-7.8%), a significant improvement<br />

over our prior studies with <strong>the</strong> mass assay. Intra- and inter-assay precision (n = 20)<br />

studies with three serum pools yielded within-run precision <strong>of</strong> 0.4-0.7% (range:<br />

114-310 nmol/min/mL) and between-assay precision <strong>of</strong> 1.5-1.7% (range: 125-246<br />

nmol/min/mL). Assay linearity is between 10-400 nmol/min/mL (LoQ: 2.8% at 7.8<br />

nmol/min/mL) and accuracy was proven with mean recoveries between 96-103%.<br />

Method comparison between <strong>the</strong> AU400 and Cobas for serum Lp-PLA 2<br />

activity<br />

(range: 4.8-369 nmol/min/mL, n = 40) demonstrated highly correlated results with<br />

minimal bias (y = 0.9911x + 0.926, r 2 = 0.999). Reference intervals were established<br />

using pre-screened normal donors without traditional risk factors for a<strong>the</strong>rosclerotic<br />

disease (n = 256, 117 males and 139 females, age: 23-86). A statistically significant<br />

relationship exists between Lp-PLA 2<br />

activity and gender (p20%) with hemoglobin at 0.25 g/dL, bilirubin at 10 mg/<br />

dL and triglycerides at 750 mg/dL.<br />

Conclusion: We have collaboratively developed an Lp-PLA 2<br />

activity assay with<br />

accurate and precise performance characteristics on <strong>the</strong> Cobas c501 automated<br />

platform. The assay is analytically robust, allowing for adoption <strong>of</strong> Lp-PLA 2<br />

activity<br />

in clinical practice.<br />

B-317<br />

Specific and High-throughput Enzyme Combination Assay to Measure<br />

Sphingomyelin in Serum<br />

T. Kimura 1 , H. Kuwata 2 , K. Miyauchi 2 , Y. Katayama 2 , N. Kayahara 1 , H.<br />

Sugiuchi 3 , Y. Ishitsuka 4 , M. Irikura 4 , T. Irie 4 . 1 Kyowa Medex Co., Ltd.,<br />

Tokyo, Japan, 2 Kyowa Medex Co., Ltd., Shizuoka, Japan, 3 Kumamoto<br />

Health Science University, Kumamoto, Japan, 4 Graduate School <strong>of</strong><br />

Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan<br />

Background: Serum sphingomyelin (SM) has a predictive value in <strong>the</strong> development<br />

<strong>of</strong> coronary arterial diseases. Fur<strong>the</strong>rmore, interest in <strong>the</strong> quantification <strong>of</strong> SM has<br />

broadened because <strong>of</strong> <strong>the</strong> fact that SM plays important roles including maintenance <strong>of</strong><br />

<strong>the</strong> cell membrane structure, control <strong>of</strong> signal transduction pathways, and formation<br />

<strong>of</strong> lipid rafts. However, no convenient and specific assay for measuring SM in serum<br />

is available for routine laboratory practice.<br />

Methods: Reaction specificities <strong>of</strong> 6 enzymes toward choline-containing<br />

phospholipids (PL) were investigated. Based on <strong>the</strong> differential specificity <strong>of</strong> <strong>the</strong><br />

enzymes, we developed a two-step enzymatic assay to measure SM, and evaluated<br />

its performance with <strong>the</strong> Hitachi-7170 autoanalyzer, using human sera from healthy<br />

individuals and <strong>the</strong> isolated lipoprotein fractions.<br />

Results: Of <strong>the</strong> enzymes tested, phospholipase D from Streptomyces species had<br />

a high specificity for phosphatidylcholine (PC), while monoglycerolipase from<br />

Bacillus species was specific to lysophosphatidylcholine (LPC). Utilizing <strong>the</strong><br />

differential specificity <strong>of</strong> <strong>the</strong> enzymes, we developed a two-step enzymatic assay<br />

to measure SM in serum. In <strong>the</strong> first step <strong>of</strong> <strong>the</strong> proposed assay, PC and LPC were<br />

completely eliminated by 10 KU/L <strong>of</strong> phospholipase D from Streptomyces species<br />

and 1 KU/L <strong>of</strong> monoglycerolipase from Bacillus species, respectively. In <strong>the</strong> second<br />

step, <strong>the</strong> remaining SM was converted into choline by 4 KU/L <strong>of</strong> phospholipase D<br />

from Streptomyces chrom<strong>of</strong>uscus that had broad specificity to PL, and was measured<br />

spectrophotometrically at dual wavelength measurements [600 nm (main) and 700 nm<br />

(subsidiary)]. The assay results <strong>of</strong> <strong>the</strong> serially diluted SM standard solution showed<br />

excellent linearity up to ~1 g/L (1.42 mmol/L), with a lower detection limit <strong>of</strong> 1 mg/L<br />

(1.42 μmol/L). Within-run coefficients <strong>of</strong> variation (CVs) for <strong>the</strong> proposed assay were<br />

0.88 and 0.79% at 0.333 and 0.709 g/L (0.473 and 0.994 mmol/L) in pooled sera.<br />

The run-to-run CVs were 3.17 and 1.58% at 0.555 and 0.598 g/L (0.788 and 0.849<br />

mmol/L), as determined by assaying <strong>the</strong> same sample on 4 different days. We found<br />

a high correlation between <strong>the</strong> proposed SM assay results and <strong>the</strong> <strong>the</strong>oretical SM<br />

values in sera from healthy individuals [y = 0.944x - 0.003, r = 0.940 (n = 127)],<br />

where <strong>the</strong> <strong>the</strong>oretical SM values in serum were estimated by subtracting <strong>the</strong> levels <strong>of</strong><br />

PC and LPC from that <strong>of</strong> <strong>the</strong> total PL, <strong>the</strong> levels <strong>of</strong> which were determined by using<br />

enzymatic methods established previously. There was a weak correlation between SM<br />

and PL in serum [y = 0.112x + 22.02, r = 0.493 (n = 127)]. The normal reference<br />

range for SM in serum obtained by <strong>the</strong> proposed assay was 0.42±0.05 g/L (0.60±0.08<br />

mmol/L) for 127 healthy individuals. The proposed assay is also applicable to <strong>the</strong> SM<br />

measurement in isolated serum lipoprotein fractions. The proposed assay does not<br />

require any pretreatment and uses 2.5 μL <strong>of</strong> <strong>the</strong> sample, with <strong>the</strong> assay taking only 10<br />

min on <strong>the</strong> autoanalyzer. Conclusion: The proposed high-throughput enzymatic assay<br />

can measure SM in serum with <strong>the</strong> required specificity, and is applicable to routine<br />

laboratory practice.<br />

B-318<br />

Qualitative Determination <strong>of</strong> Triacylglycerol Hydroperoxide in VLDL,<br />

Intermediate Density Lipoprotein and Human Plasma using Orbitrap<br />

Mass Spectrometer<br />

R. Shrestha, S. P. Hui, T. Sakurai, Y. Takahashi, F. Ohkawa, R. Miyazaki,<br />

N. Xiao, S. Takeda, S. Jin, H. Fuda, H. Chiba. Faculty <strong>of</strong> Health Sciences,<br />

Hokkaido University, Sapporo, Japan<br />

Background: Oxidative modification, including peroxidation <strong>of</strong> lipid contents<br />

in lipoproteins is believed to play crucial role in development <strong>of</strong> a<strong>the</strong>rosclerosis.<br />

Peroxidation <strong>of</strong> triacylglycerol carried by triglyceride (TG) rich lipoprotein may add<br />

risk for <strong>the</strong> disease. Though several methods had been put forward for detection <strong>of</strong><br />

lipid hydroperoxides in biological sample, most <strong>of</strong> <strong>the</strong>m were focused in cholesteryl<br />

ester hydroperoxide and phospholipid hydroperoxide. TG hydroperoxide (TGOOH)<br />

has not been detected and identified in human lipoprotein samples and plasma. We<br />

aimed to developed method for detection TGOOH in plasma and TG rich lipoproteins,<br />

and identified several molecular species <strong>of</strong> TGOOH.<br />

A266 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Lipids/Lipoproteins<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Methods: We developed a novel approach for identification and characterization <strong>of</strong><br />

TGOOH from <strong>the</strong> lipid extract <strong>of</strong> plasma and lipoprotein fractions, using reversedphase<br />

liquid chromatography with a hybrid linear ion trap-Orbitrap mass spectrometer<br />

(LC-LTQ Orbitrap). The identification <strong>of</strong> molecular species <strong>of</strong> TGOOH was achieved<br />

by use <strong>of</strong> high-mass-accuracy mass spectrometric data obtained by using <strong>the</strong><br />

spectrometer in Fourier-transform mode. We used in-house syn<strong>the</strong>sized TGOOH<br />

standards namely- 1-oleoyl-2-linoleoyl-3-palmitoylglycerol monohydroperoxide<br />

(TGOOH 18:1/18:2/16:0), 1,2-dioleoyl-3-palmitoylglycerol monohydroperoxide<br />

(TGOOH 18:1/18:1/16:0), and triolein monohydroperoxide (TGOOH 18:1/18:1/18:1)<br />

for identification. VLDL and intermediate density lipoprotein (IDL) was isolated<br />

using sequential ultracentrifugation from EDTA Plasma. The purity <strong>of</strong> isolated<br />

VLDL and IDL were ensured by determining its chemical composition, characteristic<br />

motility in polyacrylamide gel disc electrophoresis and apolipoprotein study by SDS-<br />

PAGE. Fasting EDTA plasma was collected from 9 healthy volunteer and stored at<br />

-80 °C until use. Total lipids were extracted from plasma and lipoprotein sample, and<br />

subjected for <strong>the</strong> LC-LTQ Orbitrap analysis. TGOOH was detected as <strong>the</strong> [M+NH4]+<br />

ion. Extracted ion chromatograms were drawn with <strong>the</strong> mass tolerance set at 5.0 ppm.<br />

Results: We identified all toge<strong>the</strong>r 11 molecular species <strong>of</strong> TGOOH in ei<strong>the</strong>r <strong>of</strong><br />

VLDL, IDL or plasma based on <strong>the</strong>ir specific elemental composition and m/z on<br />

mass spectra. All plasma contain TGOOH 18:1/18:1/16:0 and 16:0/18:2/16:0,<br />

while TGOOH 16:0/22:6/18:1 was not detected in plasma. TGOOH 18:1/18:2/16:0,<br />

TGOOH 18:1/18:1/18:1, TGOOH 16:0/18:2/16:0, TGOOH 18:1/18:2/18:1, TGOOH<br />

16:0/20:4/16:0, TGOOH 16:0/20:5/18:1, TGOOH 16:0/22:4/18:1 and TGOOH<br />

16:0/22:6/18:1 were present in all native VLDL and IDL fractions. TGOOH<br />

16:0/18:1/16:0 was not detected in <strong>the</strong> lipoprotein fractions. In contrast, <strong>the</strong> TGOOH<br />

16:0/18:1/16:0 was detected in 4 out <strong>of</strong> 9 <strong>of</strong> our plasma samples.<br />

Conclusion: We detected and characterized 11 molecular species <strong>of</strong> TGOOH in<br />

human plasma, VLDL and IDL using simple technique <strong>of</strong> LC-LTQ Orbitrap with<br />

analytical sensitivity <strong>of</strong> 0.1 pmol. Fur<strong>the</strong>r work is needed to find association <strong>of</strong> <strong>the</strong>se<br />

TGOOH in a<strong>the</strong>rosclerotic process and possible role <strong>of</strong> its quantitative determination<br />

in human plasma to assess cardiovascular risk.<br />

B-319<br />

A commutability study coupled to a multicentric analysis <strong>of</strong> accuracy<br />

<strong>of</strong> total cholesterol, LDL-C, HDL-C and total glycerides assays<br />

M. Heuillet, B. Lalere, S. Vaslin-Reimann, V. Delatour. LNE Paris, paris,<br />

France<br />

Background: Reliable measurements in medical biology are essential for early<br />

screening and appropriate follow-up <strong>of</strong> patients. Ensuring metrological traceability<br />

<strong>of</strong> clinical measurements enables to obtain comparable results over time and between<br />

different laboratories that could use different methods to quantify <strong>the</strong> same biomarker.<br />

To assess and improve comparability <strong>of</strong> clinical measurements, our laboratory<br />

recently produced a candidate certified reference material (CRM) for glucose,<br />

creatinine, total cholesterol, HDL-cholesterol, LDL-cholesterol and total glycerides.<br />

To assess commutability <strong>of</strong> <strong>the</strong> candidate CRM and o<strong>the</strong>r PT samples, we organized<br />

a commutability study that also allowed to assess accuracy <strong>of</strong> routine methods. We<br />

especially focused on lipid pr<strong>of</strong>ile, which is currently <strong>the</strong> main diagnostic test to assess<br />

<strong>the</strong> risk to develop cardiovascular disease.<br />

Methods: The candidate CRM was produced according to NCCLS C37A guidelines<br />

and consists in 2 levels <strong>of</strong> frozen human serum. Target values were assigned with IDMS<br />

reference methods for total cholesterol, glucose, creatinine and total glycerides, and<br />

with beta-quantification for LDL-cholesterol and HDL-cholesterol. Commutability <strong>of</strong><br />

<strong>the</strong> candidate CRM and 8 PT samples (4 lyophilized and 4 frozen human serums, with<br />

or without spiking with pure glucose and creatinine) was assessed for <strong>the</strong> 6 analytes<br />

according to CLSI C53A guidelines. The study involved 38 clinical laboratories<br />

coupled by pairs and selected to represent <strong>the</strong> most popular methods. More than 15000<br />

clinical measurements were performed and accuracy <strong>of</strong> field methods was assessed<br />

with commutable materials.<br />

Results: The candidate CRM and most <strong>of</strong> <strong>the</strong> frozen sera appeared to be commutable<br />

for glucose, creatinine and total glycerides, even those spiked with pure compounds to<br />

reach pathological concentrations. For TCh, HDL-C and LDL-C, very few lyophilized<br />

samples appeared to be commutable, in contrary to frozen samples prepared according<br />

to C37A guidelines. For example, for total cholesterol measured with a non-phenolic<br />

chromogen with spectrophotometric detection, mean bias on commutable sera<br />

was -4.4% ± 1.1% whereas bias on lyophilized serum was -10.2% ± 2.8%. We<br />

also observed a wide dispersion <strong>of</strong> <strong>the</strong> results obtained in clinical laboratories for<br />

LDL-cholesterol measurement (bias from -7.6% to 17.7%) and HDL-cholesterol<br />

measurement (bias from -9.6% to +13.0%). Discrepant results were also obtained on<br />

<strong>the</strong> same analyser but using different reagent lots (up to 10.3 %).<br />

Conclusion: This study provides fur<strong>the</strong>r evidence that most PT samples are not<br />

commutable and are not suitable to rigorously assess accuracy <strong>of</strong> field methods used<br />

in clinical laboratories. Our results highlight that lot to lot variations can introduce<br />

significant fluctuations in terms <strong>of</strong> method performance, suggesting that methods<br />

should be re-validated with commutable samples when changing reagents lots.<br />

Our data also indicate that adjusting analyte concentration by spiking with pure<br />

compounds could be possible for small molecules and metabolites like glucose<br />

and creatinine without affecting materials commutability. Regarding HDL-C and<br />

LDL-C, significant inter-method variability was observed: it could be hypo<strong>the</strong>sized<br />

that methods do not exactly measure cholesterol associated to <strong>the</strong> same lipoprotein<br />

sub-fractions. To rigorously evaluate what methods really measure, new reference<br />

methods and standards are needed to perform advanced lipoprotein testing and have<br />

comparable results.<br />

B-320<br />

Improved Reference Measurement Procedures for Total Glycerides<br />

and Free-Glycerol Assures <strong>the</strong> Accuracy <strong>of</strong> Triglyceride measurements<br />

in Laboratory Medicine<br />

S. H. Edwards 1 , S. L. Stribling 2 , D. M. Pierre 1 , H. W. Vesper 1 . 1 Centers for<br />

Disease Control and Prevention, Atlanta, GA, 2 Battelle Memorial Institute,<br />

Atlanta, GA<br />

Background: The use <strong>of</strong> routine measurements that are in agreement with validated<br />

reference measurement procedures (RMPs) for serum glycerides is critical for<br />

application <strong>of</strong> NCEP guidelines in assessment and diagnosis <strong>of</strong> hypertriglyceridemia<br />

and detection <strong>of</strong> increased cardiovascular disease risk. Stable RMPs serves as an<br />

essential tool for assuring accurate determination <strong>of</strong> triglycerides (TG) and free<br />

glycerol (FG) concentrations in human serum. The common routine methods are based<br />

on enzymatic chemistries with non-specificity for <strong>the</strong> various glycerol-containing<br />

species (tri-, di-, mono-glycerides and free glycerol) in serum and detect glycerol<br />

from all species including free glycerol. Since both glycerol-blanked and non-blanked<br />

enzymatic assays are still being used routinely for TG measurements in patient care it<br />

is essential for <strong>the</strong>se methods to be traceable to a relevant accuracy point. The CDC<br />

TG and FG isotope dilution mass-spectrometry (ID/GC/MS) reference measurement<br />

procedures permit transfer <strong>of</strong> accuracy from stable, validated procedures to routine<br />

clinical measurements and provides a mechanism for assuring traceability <strong>of</strong> test<br />

results obtained from free-glycerol blanked assays and those without glycerol<br />

blanking.<br />

Methods: The total glycerides and free-glycerol in serum specimens and quality<br />

control materials prepared according to CLSI-37A standardized protocol were<br />

analyzed by ID/GC/MS according to CDC’s reference measurement procedures.<br />

In brief, aliquots <strong>of</strong> <strong>the</strong> serum specimens were fortified with [ 13 C 3<br />

]-glycerol as an<br />

internal standard and homogenized by mixing. The glycerol occurring as free unesterified<br />

glycerol and glycerol hydrolyzed from fatty acid esters were extracted by<br />

liquid extraction and <strong>the</strong> extracts were evaporated under nitrogen <strong>the</strong>n derivatized<br />

with trisil-BSA and acetic acid/pyridine, respectively. The derivatized products were<br />

subsequently analyzed by mass spectrometry and <strong>the</strong> free-glycerol and total glycerides<br />

were determined from a linear regression <strong>of</strong> <strong>the</strong> ratios <strong>of</strong> ion intensities obtained from<br />

increasing glycerol concentration <strong>of</strong> <strong>the</strong> calibrator solutions.<br />

Results: The total glycerides concentration in <strong>the</strong> serum pools ranged from 82 mg/<br />

dL to 266 mg/dL and <strong>the</strong> free glycerol concentration for <strong>the</strong> same pools ranged from<br />

2.89 mg/dL to 16.0 mg/dL. The net triglycerides which are calculated as <strong>the</strong> difference<br />

between total and free-glycerol concentration ranged from 75 mg/dL to 252 mg/dL.<br />

The accuracy <strong>of</strong> <strong>the</strong> FG method was determined from serum specimens that were<br />

spiked in with unlabeled glycerol at 0.9 mg/dL, 3.6 mg/dl and 9.01 mg/dL and <strong>the</strong><br />

percent recovery ranged from 89% to 117% for free glycerol. The accuracy <strong>of</strong> <strong>the</strong> total<br />

glyceride method was evaluated by analyzing SRM 1951b, level 2 and <strong>the</strong> bias from<br />

<strong>the</strong> certified reference value was determined. The relative biases 1.6%<br />

Conclusion: The CDC TG and FG RMPs permits standardization <strong>of</strong> TG measurements<br />

and ensure that both glycerol-blanked and non-blanked routine measurements <strong>of</strong> TG<br />

and FG are traceable to common accuracy bases. These methods have demonstrated<br />

<strong>the</strong> level <strong>of</strong> accuracy and precision that is now routinely expected for RMPs.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A267


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Lipids/Lipoproteins<br />

B-321<br />

Reagent and Procedure for Immunoprecipitation <strong>of</strong> Apo B-containing<br />

Lipoproteins<br />

R. Nguyen, J. H. Contois. Sun Diagnostics, LLC, New Gloucester, ME<br />

Background: Immunoprecipitation (IP) with antisera provides <strong>the</strong> most specific<br />

method available for separation <strong>of</strong> lipoproteins. IP is simple to perform, does not<br />

alter lipoprotein particle composition and allows for more robust precipitation than<br />

chemical methods. Here, we describe an IP reagent and procedure for isolation <strong>of</strong><br />

HDL particles in human sera.<br />

Methods: IP reagent was delipidated and stabilized goat anti-apo B antisera. Doseresponse<br />

study indicated that equal volumes <strong>of</strong> sample and reagent completely<br />

precipitated all apo-B containing lipoproteins to 300 mg/dL with no effect on HDL<br />

(Figure). Incubation time (1 – 60 min), centrifugation speed (8,000-14,000 rpm)<br />

and centrifugation time (5 – 15 min) had little effect on results. For subsequent<br />

experiments 200 or 250 μL <strong>of</strong> reagent was added to an equal volume <strong>of</strong> sample and<br />

vortexed for 10 seconds, incubated for 10 minutes at RT, and centrifuged at 12,000<br />

rpm for 10 minutes. Precision was assessed by IP <strong>of</strong> 10 replicates <strong>of</strong> a serum pool.<br />

HDL-C results for 25 serum samples with apo B concentrations from 45-138 mg/<br />

dL were determined by IP and dextran sulfate/MgCl 2<br />

precipitation. Specificity was<br />

determined by measuring apos AI and B in 25 sera before and after IP.<br />

Results: Total imprecision was 5.0%. Analytical imprecision, determined by<br />

combining supernatants after IP and measuring apo AI in <strong>the</strong> supernatant pool 10<br />

times, was 2.8%. By difference, <strong>the</strong> imprecision attributable to IP was 2.2%. HDL-C<br />

by IP (Y) gave excellent agreement to dextran sulfate/MgCl 2<br />

precipitation (Figure).<br />

The mean recovery <strong>of</strong> apos AI and B after IP was 98.3% and 1.0%, respectively; all<br />

apo B results were < LOD.<br />

Conclusion: The IP reagent and protocol is a simple, effective and highly specific tool<br />

for isolating HDL particles in human serum.<br />

B-322<br />

Galectin-3 in Urine is a Promising Biomarker in Renal Fibrosis:<br />

Assessment <strong>of</strong> Analytical Performance and Establishment <strong>of</strong> Reference<br />

Intervals Using Iothalamate Clearance Testing<br />

A. V. Gray, M. A. V. Willrich, A. D. Rule, J. C. Lieske, A. S. Jaffe, A. K.<br />

Saenger. Mayo Clinic, Rochester, MN<br />

Background: Nephrosclerosis is a common finding on kidney biopsies and among<br />

those with renal disease remains an important indicator <strong>of</strong> adverse prognosis. The<br />

invasive nature <strong>of</strong> <strong>the</strong> biopsy remains a barrier to obtaining consent for initial or<br />

follow-up procedures. A biomarker indicative <strong>of</strong> ongoing or progressive renal fibrosis<br />

would be valuable for identifying individuals harboring <strong>the</strong> greatest risk for loss <strong>of</strong><br />

future kidney function and may be useful to guide <strong>the</strong>rapeutic response. Galectin-3<br />

(gal-3) is a β-galactoside-binding lectin (MW ~30kDa) upregulated during fibrotic<br />

reactions within a diverse array <strong>of</strong> tissues, including <strong>the</strong> kidney. The purpose <strong>of</strong> this<br />

study was to determine <strong>the</strong> performance characteristics <strong>of</strong> <strong>the</strong> galectin-3 assay in urine<br />

and establish reference intervals using rigorous assessment <strong>of</strong> healthy kidney donors.<br />

Methods: Urine gal-3 was validated using a quantitative 2-site manual ELISA<br />

(BG Medicine, Waltham, MA). Residual waste urine was utilized for <strong>the</strong> validation<br />

which included evaluation <strong>of</strong> stability, precision, accuracy, linearity, measurable and<br />

reportable ranges, and specificity. Non-parametric reference intervals were established<br />

with a cohort <strong>of</strong> healthy kidney donors defined using stringent criteria for normal<br />

renal function assessed by iothalamate clearance (n=455). Gal-3 was analyzed against<br />

o<strong>the</strong>r kidney function tests, CKD risk factors, renal biopsy findings, kidney volumes<br />

and o<strong>the</strong>r novel inflammatory markers. Urine specimens from 80 diabetic subjects<br />

comprised <strong>the</strong> diseased cohort for comparison to normals. Gal-3 concentrations were<br />

normalized to urine creatinine (ng/mg cr).<br />

Results: Urine gal-3 is stable when stored up to 7 days ambient, refrigerate (2-8°C)<br />

or frozen (-70°C) and up to 3 freeze/thaw cycles. Significant gal-3 differences were<br />

noted between centrifuged versus non-centrifuged urine specimens following a<br />

freeze/thaw cycle, likely indicative <strong>of</strong> gal-3 release following cell membrane lysis.<br />

Intra- and inter-assay precision (n = 20) studies with low and high gal-3 urine pools<br />

yielded within-run precision between 3.4-6% (range: 6.4-94 ng/mL) and betweenrun<br />

precision <strong>of</strong> 10-11% (range: 6.2-82 ng/mL). Linearity was assessed through<br />

mixing studies and acceptable between 3.8-100 ng/mL (y = 1.02x + 1.42, r 2 = 0.992).<br />

Urine dilutions were acceptable (x 4), extending <strong>the</strong> reportable range up to 400 ng/<br />

mL. Interference studies established no significant bias (>20%) with conjugated<br />

bilirubin (


Lipids/Lipoproteins<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Results: The TC and HDL tests demonstrated linearity up to 20 mmol/L and 6<br />

mmol/L, respectively. For TC, <strong>the</strong> within-run coefficients <strong>of</strong> variation (CV) were less<br />

than 2.6%, and <strong>the</strong> total CVs were less than 2.7%. For HDL, <strong>the</strong> within-run CVs were<br />

less than 1.5%, and <strong>the</strong> total CVs were less than 2.1%. No significant interference<br />

(


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Lipids/Lipoproteins<br />

CA, USA). Briefly, 25μL <strong>of</strong> serum sample and 300μL <strong>of</strong> loading gel were applied to<br />

an 8.0% polyacrylamide gel tube and mixed well. The sample was photopolymerized<br />

at room temperature for 30 minutes and <strong>the</strong>n electrophoresed for 50 minutes (3mA/<br />

gel tube). The sample was <strong>the</strong>n left standing for 30 minutes to prevent dehydration <strong>of</strong><br />

<strong>the</strong> gel and fading <strong>of</strong> <strong>the</strong> bands. All <strong>of</strong> <strong>the</strong> HDL subfractions were calculated based<br />

on a flotation rate (Rf) between <strong>the</strong> very low-density lipoprotein (VLDL) fraction and<br />

low-density lipoprotein (LDL) fraction <strong>of</strong> Rf = 0.0, and <strong>the</strong> albumin fraction <strong>of</strong> =1.0.<br />

Subfractions HDL1-3 was defined as large-sized HDL, HDL4-7 as middle-HDL, and<br />

HDL8-10 as small-sized HDL.<br />

Results: After treatment, total cholesterol and LDL-cholesterol levels were<br />

significantly decreased by 21.4% (from 7.14±1.27 to 5.61±0.88 mmol/L, p


Lipids/Lipoproteins<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

use extensive sample preparation, which is generally needed in order to extract <strong>the</strong><br />

variety <strong>of</strong> lipid classes <strong>of</strong> interest in cardiovascular disease research. We aimed to<br />

develop a simplified LC-MS/MS assay capable <strong>of</strong> simultaneously quantifying five<br />

lipid classes (SM, CER, GluCer, LacCer and PC).<br />

Methods: We identified a solvent formulation that facilitates one-step extraction<br />

<strong>of</strong> all five lipid classes. We also compiled a comprehensive database <strong>of</strong> MRM<br />

transitions <strong>of</strong> all biologically known and plausible non-isobaric members <strong>of</strong> <strong>the</strong>se<br />

lipids classes. To 10 μL <strong>of</strong> sample, 190 μL <strong>of</strong> an extraction solvent [MTBE, methanol<br />

and isopropanol] containing 400 ng/mL <strong>of</strong> internal standard was added, vortexed for<br />

5 min and centrifuged at 17,000g for 10 min. 5 μL <strong>of</strong> <strong>the</strong> supernatant was directly<br />

injected into <strong>the</strong> LC column (Agilent Polaris Amide C18; 2X100X5μm) and analyzed<br />

using a triple quadruple tandem mass spectrometer (Thermo TSQ-Vantage). Data was<br />

analyzed using Pinpoint s<strong>of</strong>tware. For PC and SM, MRM transitions were generated<br />

from protonated parent molecules and <strong>the</strong> fragment containing <strong>the</strong> choline head group<br />

(m/z 184) while for CER, GluCer and LacCer, three transitions were generated with<br />

protonated parent molecule and three fragments (m/z 256, 264 and 284).<br />

Results: Average within-day and between-day imprecision for over 60 non-isobaric<br />

lipids targeted by this approach were 12% and 16% for plasma and 8% and 16%<br />

erythrocytes, respectively. Using this extraction approach, we were able to recover<br />

lipids spiked directly into serum (88-102% recovery), which has not been previously<br />

reported to our knowledge. In plasma, within-individual variability <strong>of</strong> lipids ranged<br />

from 1% to 15% and between-individual variability ranged from 5% to 29%. The<br />

assay was used to demonstrate that lipid species in erythrocyte membranes are not<br />

different between pre- and post-mortem non-human primate samples. In a small<br />

pilot study, specific erythrocyte membrane lipid species were higher in patients with<br />

sudden cardiac arrest than in healthy study subjects.<br />

Conclusion: We have developed a one-step sample preparation that efficiently<br />

extracts a panel <strong>of</strong> lipid classes. The method is ideally suited for <strong>the</strong> simultaneous<br />

relative quantitation <strong>of</strong> clinically relevant lipid markers, including phosphatidyl<br />

cholines, sphingomyelins, and ceramides and glycated ceramides.<br />

B-331<br />

Development <strong>of</strong> a LC-MS/MS Method to Quantitate Total and<br />

Fractionated Fecal Bile Acids<br />

A. J. Lueke, L. J. Donato, A. S. Jaffe, M. Camilleri, A. K. Saenger. Mayo<br />

Clinic Rochester, Rochester, MN<br />

Introduction: Bile acid malabsorption (BAM) is a disorder associated with<br />

symptomatic chronic diarrhea. It is frequently misdiagnosed as irritable bowel<br />

syndrome (IBS). A definitive diagnosis <strong>of</strong> BAM can be made by demonstrating<br />

elevated concentrations <strong>of</strong> primary fecal bile acids (chenodeoxycholic acid, CDCA;<br />

cholic acid, CA) leading to bile acid sequesterant <strong>the</strong>rapy. Lithocholic acid (LCA)<br />

and deoxycholic acid (DCA) are <strong>the</strong> secondary bile acids and predominant in normal<br />

human feces. We have developed a LC-MS/MS assay which quantitates <strong>the</strong> major<br />

unconjugated bile acids present in stool, which can assist in differentiation between<br />

BAM and IBS.<br />

Methods: Timed stool collections (48 hr) from healthy volunteers and IBS patients<br />

were weighed, homogenized with water and acidified with ACN. Specimens were<br />

vortexed and centrifuged following precipitation with ammonium sulfate and final<br />

extraction was achieved by performing a 1:10 (ACN:MeOH) dilution. Deuterated<br />

internal standards <strong>of</strong> <strong>the</strong> unconjugated fecal bile acids were added and isolated by<br />

solid phase extraction (Oasis HLB SPE) cartridges. Following elution with MeOH,<br />

fecal bile acids were chromatographically separated on an analytical column<br />

(Poroshell C18 RP, 2.1 x 50mm, 2.7 μM) using a MeOH/20 mM ammonium acetate/<br />

H2O gradient. Analytes were monitored in negative MRM mode (AB Sciex API<br />

5000) using <strong>the</strong> following transitions: CA 407.25/407.25; CDCA: 391.2/391.2;<br />

DCA: 391.2/391.2; LCA 375.3/375.3; UDCA: 391.3/391.3; separation was achieved<br />

chromatographically to optimize operation time (total analysis time=13 min, 8.5 min<br />

window on MS/MS). A single stool homogenate was used for <strong>the</strong> standard curve,<br />

spiking in a fixed amount <strong>of</strong> each individual bile acid (500, 200, 100, 50, 20, 5 and<br />

0 μM). Final results were calculated as μM <strong>of</strong> bile acid/g solid stool, with <strong>the</strong> solid<br />

stool extract weight determined by NMR. Each individual bile acid is <strong>the</strong>n reported<br />

as a percentage <strong>of</strong> <strong>the</strong> total.<br />

Results: Intra-assay precision (% CV) data was determined using 5 aliquots extracted<br />

from two individual stools. The precision on <strong>the</strong> extracts was ≤1.0% for LCA and<br />

DCA (40% and 60% <strong>of</strong> total; normal pr<strong>of</strong>ile) and between 4.1-12.4% for <strong>the</strong> o<strong>the</strong>r<br />

bile acids (0.03-0.4% <strong>of</strong> total bile acids). UDCA and DCA precision was between 5.5-<br />

26.5% for CDCA, CA, LCA, DCA and UDCA, respectively and when run side by side<br />

and gave %CV data ranging from 5.5% to 26.2% (Concentrations ranged from 692 to<br />

0.26 mcM) . %CV data beyond 10% was observed for two analytes, both under 0.5<br />

mcM in concentration, suggesting this as <strong>the</strong> LOQ for <strong>the</strong> assay. Inter-assay precision<br />

was assessed using a control consisting <strong>of</strong> a stool extract with identical weight. The<br />

control demonstrated imprecision ranging from 9-19% for all five bile acids (absolute<br />

concentration range: 1-475 mcM). The average recovery assessed through multiple<br />

spiking studies was 81.4% (r 2 between 0.979-0.996).<br />

Conclusions: We have developed a sensitive, accurate and precise LC-MS/MS<br />

method to fractionate and quantitate unconjugated bile acids in feces to aid in <strong>the</strong><br />

diagnosis <strong>of</strong> BAM in patients with chronic diarrhea by identifying a reversible cause<br />

<strong>of</strong> IBS. Additional clinical validation studies are warranted to derive an appropriate<br />

interpretive or <strong>the</strong>rapeutic range for fecal bile acids.<br />

B-332<br />

To Fast or Not To Fast: That Is <strong>the</strong> Question<br />

K. Rodriguez-Capote 1 , T. N. Higgins 1 , G. S. Cembrowski 2 . 1 DynaLIFEDX,<br />

Edmonton, AB, Canada, 2 University <strong>of</strong> Alberta Hospital, Edmonton, AB,<br />

Canada<br />

Background:Following a study on fasting and non-fasting lipid values from a<br />

reference laboratory (Sidhu et al. Arch.Int.Med, 2012), <strong>the</strong> requirement for <strong>the</strong> 12<br />

hour fast for lipid testing in Alberta was questioned. Objective: to determine <strong>the</strong> effect<br />

<strong>of</strong> non-fasting lipid values on <strong>the</strong> calculation <strong>of</strong> LDL-cholesterol and <strong>the</strong> Framingham<br />

risk score.<br />

Methods:Representative sets <strong>of</strong> lipid data from 298 fasting patients were adjusted<br />

upward by up to 64% for triglyceride, and downward by up to 4% for HDL-cholesterol<br />

and 2% for total cholesterol in a Monte Carlo simulation with 5000 runs to validate<br />

<strong>the</strong> use <strong>of</strong> non-fasting lipid values using <strong>the</strong> Friedwald equation and <strong>the</strong> effect on <strong>the</strong><br />

10-year risk Coronary Heart Disease Framingham score.<br />

Results: Calculated LDLs were falsely decreased for <strong>the</strong> non fasting state resulting<br />

in a 10-15% left shift in <strong>the</strong> frequency distribution (Figure), potentially leading to<br />

inappropriate <strong>the</strong>rapy. To evaluate <strong>the</strong> possible change in risk classification in<br />

screening; two extreme scenarios were initially evaluated: worst case: 75 years old<br />

male smoker, with diabetes and hypertension and best case: 23 years old non-smoking<br />

female without diabetes and normal blood pressure. In <strong>the</strong> first case <strong>the</strong> Framingham<br />

score went from 31 to 32 (high risk) whereas in <strong>the</strong> second case from 0 to 1 (low risk)<br />

with no change in classification <strong>of</strong> risk. Variation in LDL-cholesterol from 3.37 to<br />

4.92 mmol/L produced a change in risk score <strong>of</strong> 1. O<strong>the</strong>r scenarios produced similar<br />

outcomes in <strong>the</strong> risk score.<br />

Conclusion: If initial lipid screening requires just <strong>the</strong> knowledge <strong>of</strong> <strong>the</strong> Framingham<br />

risk score, patients need not fast. However, <strong>the</strong> 12 hour fast is mandatory when<br />

significant hyperlipidemia is discovered and serial, calculated LDL-cholesterol levels<br />

need to be assessed for treatment efficacy.<br />

B-333<br />

Low Density Lipoprotein Particle Assay Validation and Comparison<br />

Study<br />

D. E. Kelsey 1 , J. L. Toher 1 , M. T. Foster 2 , J. A. Boulanger 2 , M. A. Cervinski 2 .<br />

1<br />

Maine Standards Company, Windham, ME, 2<br />

Dartmouth-Hitchcock<br />

Medical Center, Lebanon, NH<br />

Background:Risk assessment for coronary heart disease (CHD) relies upon<br />

measurement <strong>of</strong> total cholesterol, high-density (HDL) cholesterol and ei<strong>the</strong>r<br />

calculated or measured low-density (LDL) cholesterol in association with patient<br />

risk factors and risk equivalents. However lipid concentrations alone do not explain<br />

<strong>the</strong> development and progression <strong>of</strong> a<strong>the</strong>rosclerotic plaques and studies have<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A271


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Lipids/Lipoproteins<br />

demonstrated that a<strong>the</strong>rosclerosis is also an inflammatory disease. This inflammation<br />

is mediated by foam cells generated from subendo<strong>the</strong>lial macrophages following<br />

receptor-mediated endocytosis <strong>of</strong> oxidized LDL cholesterol. Foam cells secrete<br />

various proinflammatory cytokines and matrix metalloproteinases that may lead to<br />

plaque instability and rupture. Diet,exercise and a regimen <strong>of</strong> cholesterol lowering<br />

drugs reduce circulating LDL and thus <strong>the</strong> production <strong>of</strong> oxidized LDL, foam cells<br />

and a<strong>the</strong>rosclerotic disease progression. However, low concentrations <strong>of</strong> LDL<br />

cholesterol may still be associated with LDL particles <strong>of</strong> varying size. Small, dense<br />

LDL particles have a greater potential than large buoyant particles for promoting <strong>the</strong><br />

formation and expansion <strong>of</strong> <strong>the</strong> a<strong>the</strong>rosclerotic plaques. The addition <strong>of</strong> an assay that<br />

can quantify <strong>the</strong> concentration <strong>of</strong> LDL particles in plasma may add to traditional lipid<br />

measurements in assessing a patient’s future risk for CHD.<br />

Objective: The objective <strong>of</strong> this study was to perform a laboratory validation <strong>of</strong> <strong>the</strong><br />

Maine Standards ® (Windham, ME) Investigational Use Only (IUO) LDL-Particle<br />

(LDL-P) assay including comparison <strong>of</strong> <strong>the</strong> LDL-P concentration to calculated and<br />

measured LDL cholesterol values.<br />

Methods: Two levels <strong>of</strong> quality control (QC) material were run ten times within a<br />

single day and once daily for twenty non-consecutive days on a Cobas 6000 analyzer<br />

to assess within-run and day-to-day imprecision. In addition, 300 remnant plasma<br />

samples collected for physician ordered lipid pr<strong>of</strong>ile analysis were analyzed via<br />

<strong>the</strong> LDL-P assay. The LDL-P concentration was compared to <strong>the</strong> LDL cholesterol<br />

concentration determined via <strong>the</strong> Friedewald equation and direct-LDL assay. The<br />

LDL-P, total cholesterol, HDL, triglyceride and direct-LDL assays were performed<br />

on <strong>the</strong> Roche Cobas 6000 or Modular analyzer (Roche Diagnostics, Indianapolis, IN).<br />

Results: The LDL-P within-run imprecision on <strong>the</strong> Cobas 6000 analyzer was 2.3%<br />

at 62 mg/dL (1127 nmol/L) and 2.2% at 109 mg/dL (1982 nmol/L). The withinlaboratory<br />

imprecision was 9.7% at 57 mg/dL (1036 nmol/L) and 6.1% at 104<br />

mg/dL (1891 nmol/L). The patient sample comparison demonstrated that LDL-P<br />

concentration deviated significantly from both <strong>the</strong> calculated LDL and direct-LDL<br />

cholesterol concentration. Linear regression analysis <strong>of</strong> LDL-P vs. calculated or<br />

direct-LDL cholesterol resulted in equations <strong>of</strong> LDL-P (mg/dL)=0.5825*(LDL)+49.3,<br />

r=0.9091 and LDL-P (mg/dL)=0.5897*(LDL)+40.5, r=0.9431, respectively. Bias plot<br />

analysis revealed that at low LDL cholesterol concentrations <strong>the</strong>re was a tendency for<br />

a higher than anticipated LDL-P concentrations.<br />

Conclusion:This laboratory validation demonstrates that <strong>the</strong> IUO LDL-Particle<br />

assay from Maine Standards is a precise automated assay. Comparison <strong>of</strong> <strong>the</strong> LDL<br />

cholesterol to <strong>the</strong> LDL-Particle concentration demonstrates that even at low LDL<br />

cholesterol concentrations that <strong>the</strong>re may be residual risk <strong>of</strong> CHD due to increased<br />

concentrations <strong>of</strong> small dense LDL particles. However assessment <strong>of</strong> this residual risk<br />

was not analyzed in this study and fur<strong>the</strong>r prospective studies monitoring <strong>the</strong> LDL-P<br />

concentration and progression to CHD are needed.<br />

B-336<br />

Can <strong>the</strong> Range <strong>of</strong> <strong>the</strong> Freidewald Type Equation (FTE) be Extended?<br />

E. S. Pearlman 1 , M. Kempe 2 , C. Hoang 1 , J. Layden 1 . 1 Veterans Affairs<br />

Medical Center, Memphis, TN, 2 University <strong>of</strong> Tennessee Health Sciences<br />

Center, Memphis, TN<br />

Background: For triglyceride concentrations TGC


Lipids/Lipoproteins<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-339<br />

Multicenter Evaluation <strong>of</strong> <strong>the</strong> Tina-quant® Lipoprotein (a) Gen.2<br />

Assay on Roche Clinical Chemistry Analyzers<br />

D. Dot Bach 1 , M. J. Castro Castro 1 , G. M. Fiedler 2 , J. Müller 2 , O. Probst 2 ,<br />

J. H<strong>of</strong>fmann 3 , S. Westphal 3 , D. Plonné 4 , C. Seemann 4 , M. Schmid 4 , S.<br />

Eckle 4 , E. Naumann 4 , C. Stein 5 , B. Loehr 5 . 1 Labioratori Clínic, Hospital<br />

Universitari de Bellvitge, Barcelona, Spain, 2 Center <strong>of</strong> Laboratory<br />

Medicine, University Institute <strong>of</strong> Clinical Chemistry, Inselspital - University<br />

Hospital, Bern, Switzerland, 3 Otto-von-Guericke-Universität Magdeburg,<br />

Institut für Klinische Chemie und Pathobiochemie, Magdeburg, Germany,<br />

4<br />

Labor Dr. Gärtner & Kollegen, Ravensburg, Germany, 5 Roche Diagnostics<br />

GmbH, Mannheim, Germany<br />

Background: Several prospective studies have demonstrated that Lipoprotein (a)<br />

is an independent risk factor for coronary heart disease. In clinical and commercial<br />

laboratories <strong>the</strong> Lp(a) mass is usually determined, which <strong>of</strong>ten have poor<br />

comparability between different Lp(a) methods due to <strong>the</strong> lack <strong>of</strong> standardization.<br />

The immunoreactivity <strong>of</strong> different samples is also affected by <strong>the</strong> apo(a) size<br />

polymorphism.<br />

The new Roche assay Tina-quant ® Lipoprotein (a) Gen.2 is traceable to <strong>the</strong> WHO/IFCC<br />

reference material SRM2B. This standardization results in accurate measurements <strong>of</strong><br />

Lp(a) concentration independently from <strong>the</strong> apo(a) size. The analytical performance<br />

<strong>of</strong> <strong>the</strong> new assay was evaluated in four laboratories using Roche/Hitachi MODULAR<br />

ANALYTICS , COBAS INTEGRA ® 800 and cobas c 501 analyzers.<br />

Methods: Lp(a) concentration was measured turbidimetrically by a particle enhanced<br />

immunoassay standardized against <strong>the</strong> WHO/IFCC reference material SRM2B [unit<br />

nmol/L]. The analytical performance <strong>of</strong> <strong>the</strong> new assay was investigated under routine<br />

laboratory conditions using samples covering <strong>the</strong> complete measuring range (7 -<br />

240 nmol/L). The assessment included precision, recovery <strong>of</strong> controls and ring trial<br />

samples, and method comparison. The recovery was measured using three different<br />

calibrator lots in three independent runs with three determinations for each sample<br />

material. The precision and method comparison experiments were designed in<br />

compliance with CLSI recommendations EP05-A2 and EP09-A3, respectively.<br />

Results: Within-run precision was checked with two controls and three human sample<br />

pools (one run, n = 21 replicates per sample) covering a concentration range from 11.7<br />

to 220 nmol/L. CV’s were determined to be below 2.3 % with control materials and<br />

below 4.8 % with pooled samples. The CV <strong>of</strong> one sample with an Lp(a) concentration<br />

near to <strong>the</strong> decision limit <strong>of</strong> 75 nmol/L was 0.5 %.<br />

Investigating <strong>the</strong> same samples in precision experiments according to CLSI EP05-A2,<br />

<strong>the</strong> CV for <strong>the</strong> repeatability was below 3.3 %, and for intermediate precision <strong>the</strong> CV<br />

was below 5.8 % (95 %confidence interval) on all systems.<br />

The recovery <strong>of</strong> <strong>the</strong> Roche controls was well acceptable (control N: 95.1 - 105.9<br />

%; control AN: 98.3 - 106.8 %), <strong>the</strong>reby indicating a robust standardization process.<br />

The recovery was well comparable between different system platforms. Due to new<br />

standardization <strong>the</strong> recovery in ring trial samples was lower compared to <strong>the</strong> Lp(a)<br />

Gen.1 reagent <strong>of</strong> Roche Diagnostics.<br />

For comparison reasons <strong>the</strong> values <strong>of</strong> <strong>the</strong> samples measured in nmol/L were recalculated<br />

by <strong>the</strong> factor 0.4167 (Marcovina et al., Clin Chem 2000, 46(12), 1956ff).<br />

Statistical Passing/Bablok analysis <strong>of</strong> method comparison against <strong>the</strong> Roche Lp(a)<br />

generation 1 assay yielded correlation coefficients > 0.96, slopes between 0.73 and<br />

0.88, and intercepts from -0.067 to -0.027 g/L Lp(a) using > 119 routine samples.<br />

Conclusion: Our study demonstrated that <strong>the</strong> new Roche Tina-quant ® Lipoprotein<br />

(a) Gen. 2 assay has reliable and precise analytical performance. Good correlation<br />

was found between <strong>the</strong> different Roche analyzer platforms. Differences in method<br />

comparison to <strong>the</strong> Lp(a) Gen.1 assay can be accounted for by <strong>the</strong> traceability <strong>of</strong> <strong>the</strong><br />

Gen. 2 assay to <strong>the</strong> WHO/IFCC reference material SRM2B which eliminate <strong>the</strong><br />

impact <strong>of</strong> apo(a) size.<br />

COBAS, COBAS C, COBAS INTEGRA, MODULAR and TINA-QUANT are<br />

trademarks <strong>of</strong> Roche.<br />

B-340<br />

Development <strong>of</strong> a Novel Homogeneous Assay for Remnant Lipoprotein-<br />

Cholesterol<br />

Y. Hirao 1 , Y. Ito 1 , K. Nakajima 2 , H. Sumino 3 , T. Machida 3 , M. Murakami 3 .<br />

1<br />

Research and Development Department, Denka Seiken Co., Ltd., Niigata,<br />

Japan, 2 Graduate School <strong>of</strong> Health Sciences, Gunma University, Gunma,<br />

Japan, 3 Department <strong>of</strong> Clinical Laboratory Medicine, Gunma University<br />

Graduate School <strong>of</strong> Medicine, Gunma, Japan<br />

Background: Remnant lipoproteins (RLP), one <strong>of</strong> <strong>the</strong> lipoprotein subclasses, have<br />

been known as an a<strong>the</strong>rogenic lipoprotein. Many epidemiological and clinical studies<br />

have shown that RLP-cholesterol (C) is an independent risk factor <strong>of</strong> coronary heart<br />

disease (CHD) and a specific marker for Type III hyperlipidemia. It is also known as<br />

a marker for postprandial hyperlipidemia. We here report <strong>the</strong> development <strong>of</strong> a fully<br />

automated homogeneous assay for RLP-C quantification which does not require any<br />

<strong>of</strong>f-line sample pretreatment.<br />

Methods: We screened enzymes and surfactants for <strong>the</strong> establishment <strong>of</strong><br />

homogeneous RLP-C assay, using CM-VLDL, LDL and HDL fractions isolated by<br />

ultracentrifugation, and RLP fractions isolated by immunoaffinity gels fixed with<br />

anti-apoA-I and apoB-100 antibodies. All data were generated on automated clinical<br />

chemistry analyzers from Hitachi.<br />

Results: We have found that a cholesterol esterase with no subunits <strong>of</strong> less than 40<br />

kDa (H Mol CHE) reacted lipoproteins except for RLP, whereas an enzyme with a<br />

subunit <strong>of</strong> less than 40 kDa (L Mol CHE) reacted with RLP. We <strong>the</strong>n employed <strong>the</strong> H<br />

Mol CHE for <strong>the</strong> 1st step reaction to dissociate non-RLP lipoproteins and degraded<br />

non-RLP-cholesterol to water and oxygen under <strong>the</strong> presence <strong>of</strong> cholesterol oxidase<br />

and catalase. For <strong>the</strong> 2nd step, we applied <strong>the</strong> L Mol CHE to release cholesterol from<br />

RLP, and <strong>the</strong>n determined <strong>the</strong> released RLP-C in <strong>the</strong> standard cholesterol oxidase and<br />

peroxidase system.<br />

We used <strong>the</strong> following 2 reagents to measure RLP-C. Reagent-1 consisted <strong>of</strong> H<br />

Mol CHE, cholesterol oxidase, catalase, N-ethyl-N-(2-hydroxy-3-sulfopropyl)-3-<br />

methylaniline, sodium salt, dehydrate (TOOS), and detergent in PIPES buffer (pH<br />

6.8). Reagent-2 consisted <strong>of</strong> L Mol CHE, peroxidase, 4-aminoantipyrine, sodium<br />

azide, and detergent in PIPES buffer (pH 6.8). A 210 uL aliquot <strong>of</strong> Reagent-1 was<br />

added to 4 uL sample serum or plasma, and <strong>the</strong> solution was incubated at 37 oC for<br />

5 min (1st step). Next, 70 uL <strong>of</strong> Reagent-2 was added, and <strong>the</strong> reaction mixture was<br />

incubated at 37 oC for 5 min (2nd step).<br />

Our new homogeneous assay exhibited a good correlation with <strong>the</strong> current RLP-C<br />

method using anti-apoA and apoB affinity gel (r>0.9). The correlation coefficient<br />

between TG and homogeneous RLP-C was less than 0.90. Higher correlation between<br />

TG and homogeneous RLP-C was observed in <strong>the</strong> postprandial plasma than that in <strong>the</strong><br />

fasting plasma. RLP-C levels in pregnant plasma samples were comparatively low in<br />

spite <strong>of</strong> high TG levels. Significantly higher RLP-C levels were found in cases with<br />

metabolic syndrome and diabetes than in normal controls.<br />

Conclusions: Our new homogeneous assay method can determine serum or plasma<br />

RLP-C levels in 10 min in a fully automated manner and can allow <strong>the</strong> analysis <strong>of</strong><br />

large number <strong>of</strong> samples in routine laboratories.<br />

B-341<br />

Evaluation <strong>of</strong> a New Generation Homogenous HDL Cholesterol Assay<br />

on Beckman Coulter Unicel® DxC Synchron® Clinical Chemistry<br />

Systems*<br />

L. Murphy, A. Considine, S. Frost, M. Coughlan, C. Moellers. Beckman<br />

Coulter Inc, Co, Clare, Ireland<br />

Background: High density lipoprotein-cholesterol (HDL-c) is an important predictor<br />

<strong>of</strong> cardiovascular risk. The current HDL-c reagent available on <strong>the</strong> Synchron systems<br />

contains a specific detergent and polyanion in <strong>the</strong> R1 reagent which binds to all<br />

non-HDL containing lipoproteins. The cholesterol in HDL particles in measured on<br />

addition <strong>of</strong> <strong>the</strong> R2. The objective <strong>of</strong> this study was to evaluate <strong>the</strong> performance <strong>of</strong><br />

a next generation homogenous HDL-c reagent on UniCel DxC Systems. The new<br />

formulation is based on solubilising free cholesterol in non-HDL lipoproteins in <strong>the</strong><br />

R1 phase, which is <strong>the</strong>n consumed in a colourless reaction. HDL particles are <strong>the</strong>n<br />

solubilised in <strong>the</strong> R2 phase to release HDL cholesterol for reaction with cholesterol<br />

esterase, cholesterol oxidase and <strong>the</strong> chromogen system. This next generation HDL-c<br />

reagent is already available in <strong>the</strong> US on <strong>the</strong> AU® analyser platforms.<br />

CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong><br />

A273


Wednesday, July 31, 9:30 am – 5:00 pm<br />

Lipids/Lipoproteins<br />

Methods: Precision studies were carried out on a DxC 600 and DxC 800 over 20 days<br />

(N=80) following Clinical and Laboratory Standards Institute (formerly NCCLS)<br />

EP5-A2 procedure. Within run and total imprecision were evaluated using three serum<br />

pools with mean concentrations <strong>of</strong> around 30mg/dL, 54mg/dL and 118mg/dL. Method<br />

comparison was evaluated against <strong>the</strong> same assay on <strong>the</strong> Beckman Coulter AU680<br />

analyser and against <strong>the</strong> current Homogenous HDL assay on <strong>the</strong> DxC 800 analyser<br />

following CLSI EP09-A2 guideline. Interference studies were carried out on a DxC<br />

600 and DxC 800 following CLSI EP7-A2 dose response guidelines using pooled<br />

patient samples. Pools were spiked with ei<strong>the</strong>r Bilirubin, Hemolysate, Ascorbate,<br />

Intralipid**, Gamma Globulin or Human Triglyceride.<br />

Results: In development studies within run precision was ≤ 1% CV and total<br />

imprecision was ≤ 2% CV, respectively. Method comparison (Deming regression)<br />

against <strong>the</strong> same assay on <strong>the</strong> Beckman Coulter AU680 (x-axis) yielded y=0.986x<br />

+1.191, r=0.998, n=119 and versus <strong>the</strong> existing Homogenous HDL on <strong>the</strong> DxC 800<br />

(x-axis) yielded y=0.917x +3.094, r=0.997, n=121. The effect <strong>of</strong> interference on <strong>the</strong><br />

new assay was minimal with 0.05).<br />

Conclusion:Our findings have suggested that oxidative status increases in patients<br />

with coronary artery disease and antioxidant status increases as a compansatuary<br />

mechanism against this situation. The reason <strong>the</strong>re was no significiant change in<br />

PON activity was due to stable lipid peroxide levels. The low Arylesterase activity<br />

is associated to HDL-Cholesterol levels. Also this study has demonstrated that<br />

arylesterase activity is decreased related to HDL and arylyesterase is more affected<br />

than paraoxonase activity in etiopatogenesis <strong>of</strong> coronary artery disease. In addition,<br />

this study has shown that <strong>the</strong>re is no relation between coronary artery disease and<br />

PON1 Q/R phenotyping.<br />

A274 CLINICAL CHEMISTRY, Vol. 59, No. 10, Supplement, <strong>2013</strong>


Lipids/Lipoproteins<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

B-345<br />

Association Of Serum Adipocyte Fatty Acid Binding Protein And<br />

Insulin Resistance In Egyptians Infected With Hepatitis C Virus<br />

S. H. Gomaa, A. M. Zaki, W. A. Refaaay. Medical Researh Institute, Alex,<br />

Egypt<br />

Background: Egypt has <strong>the</strong> highest prevalence <strong>of</strong> hepatitis C virus (HCV) infection<br />

in <strong>the</strong> world (13% <strong>of</strong> Egyptians in all age groups). Epidemiological studies have<br />

suggested that HCV infection is associated with an increased risk <strong>of</strong> development<br />

<strong>of</strong> insulin resistance (IR) and type 2 diabetes mellitus (DM). Adipocyte fatty acid<br />

binding protein (AFABP) is a low molecular weight protein expressed abundantly<br />

in <strong>the</strong> adipocytes and macrophages. It has been recognized to play an important role<br />

in <strong>the</strong> development <strong>of</strong> insulin resistance and metabolic syndrome. This study was<br />

conducted to investigate whe<strong>the</strong>r <strong>the</strong>re is an association between AFABP and HCV<br />

infection or not, and if it is associated with insulin resistance in chronic hepatitis<br />

C(CHC) patients.<br />

Subjects: 80 male subjects were included in <strong>the</strong> present (as females were reported<br />

to have significantly higher serum levels than males).They were divided into 3 main<br />

groups: control group (n=15), DM group (n=15) and CHC group (n=50) divided as 13<br />

patients with no IR, 26 patients with IR and 11 patients with DM according to <strong>the</strong>ir<br />

Homeostasis Model for Assessment <strong>of</strong> insulin resistance (HOMA-IR).<br />

Methods: Fasting blood samples were obtained in plain tubes from all subjects.<br />

serum was immediately separated into four aliquots, one for <strong>the</strong> determination <strong>of</strong> <strong>the</strong><br />

concentrations and activities <strong>of</strong> routine analytes including creatinine, urea, bilirubin<br />

(total and direct), total cholesterol, high density lipoprotein- cholesterol (HDL-C),<br />

low density lipoprotein- cholesterol (LDL-C) and triglycerides(TG) on <strong>the</strong> autoanalyzer<br />

OLYMPUS AU400. Non esterified fatty acids (NEFA) was determined by<br />

Dole’s method. O<strong>the</strong>r aliquots were stored at – 20ºC for <strong>the</strong> assay <strong>of</strong> AFABP using<br />

ELIZA kit and insulin using chemiluminescent enzyme immunometric assay (CLIA)<br />

by <strong>the</strong> Immulite 1000 Automated Analyzer. HOMA-IR was calculated. Statistical<br />

analysis was done using <strong>the</strong> SPSS s<strong>of</strong>tware package to obtain <strong>the</strong> median, <strong>the</strong> range<br />

and for comparison between <strong>the</strong> different groups involved in this study using Mann-<br />

Whitney test for abnormal distribution between two groups.<br />

Results: found to range from 9.2-19.0 ng/ml in normal male subjects.Serum AFABP<br />

levels in <strong>the</strong> CHC group with insulin resistance (with and without DM2) were<br />

significantly higher than that <strong>of</strong> <strong>the</strong> control group(p=˂0.001, p=


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

A<br />

Abbadi, A. A-544, A-545<br />

Abdalla, L. A-101, A-122,<br />

A-123, B-111<br />

Abdalla, L. B-118<br />

Abdel Hadi, A. B-223<br />

Abdella, N. A. A-309, A-338<br />

Abdou, S. A-89<br />

Abe, A. B-102<br />

Abel, G. A-225, A-538<br />

Abreu, D. A-419<br />

Abreu, F. A-67<br />

Abreu, F. Marques. A-148<br />

Acıkgoz, S. A-381<br />

Ackles, K. B-240<br />

Acosta-Delgado, D. A-348<br />

Adelberger, K. A-83<br />

Adeli, K. B-189, B-284,<br />

B-285, B-289, B-290<br />

Adie, L. A-19<br />

Afzal, Z. A-51, A-270<br />

Agıllı, M. B-07<br />

Aggarwal, S. A-371<br />

Aggoune, T. A-542<br />

Agmon-Levin, N. A-260<br />

Agostinelli, R. A-528<br />

Aguiar, F. A-333<br />

Ahmad, I. A-71, A-508<br />

Ahn, J. A-379<br />

Ahn, S. B-177<br />

Ahrens, M. A-05<br />

Ahuja, P. B-78<br />

Ajongwen, P. B-241<br />

Akahane, M. A-410<br />

Akbas, H. A-393<br />

Akbas, N. A-380<br />

Akbiyik, F. A-286<br />

Akinloye, O. A-339<br />

Akiyama, D. C. C. A-148<br />

Akl, P. A-99<br />

Aksoy, N. A-360<br />

Aksoy, S. N. B-344<br />

Al Mulla, F. A-338<br />

Al-Hertani, W. A-541<br />

Al-Turkmani, M. R.<br />

A-397,<br />

A-398<br />

Alamo, J. M. A-521<br />

Alastico, V. A-68, A-421<br />

Alatoum, M. A. A-02<br />

Albayrak, M. A-381<br />

Alcaide, M. J. B-260<br />

Alderton, W. A-10<br />

Alegre, E. A-66<br />

Alessio, M. B-287<br />

Alfieri, A. B-127<br />

Algeciras-Schimnich, A. A-43,<br />

A-380<br />

Allen, R. A-99<br />

Allen, T.<br />

A-479, A-501,<br />

A-502, A-503<br />

Allen Jr., R. B-233<br />

Allwood, M. B-189<br />

Almeida, E. V. A-427<br />

Almeida, I. A-68<br />

Almeida, I. C. A-421<br />

Almeida, L. B-39, B-143<br />

Almeida, S. S. A-268<br />

Alonzo, T. B-45<br />

Alp, B. F. B-07<br />

Alston, M. B-292<br />

Altemus, M. A-324<br />

Álvarez Menéndez, F. V. B-153<br />

Alvarez-Rios, A. I. A-94,<br />

A-313, A-348, A-514,<br />

A-521, B-43, B-57, B-313<br />

Alves, B. B-97<br />

Alves, N. B. B-96, B-149<br />

Alvi, A. J. A-248, A-272, A-275<br />

Amaral, M. B. A-190, A-192<br />

Amaral-Valentim, C. A. A-520<br />

Ambacher, R. A-397, A-398<br />

Amin, S. A-278<br />

Amole, F. A-435<br />

Amukele, T. A-367<br />

Andag, R. A-93<br />

Anderson, D. A. A-400<br />

Anderson, D. J. B-163<br />

Ando, T. A-340<br />

Andrade, L. E. A-404<br />

Andrade, L. E. C. A-422<br />

Andrade, M. M. P. A-355<br />

Andres, S. A. A-02<br />

Andrews, P. A. A-430<br />

Andriolo, A. B-310<br />

Anelli, M. A-47<br />

Angelos, P. A-183<br />

Antipova, O. B-234<br />

Anwar, F. B-123<br />

Aoyagi, K. A-340<br />

Apostolidou, S. A-10<br />

Apple, F. B-288<br />

Apple, F. S. B-182, B-194,<br />

B-207, B-208<br />

Apte, P. B-92<br />

Aqil, B. B-312<br />

Araújo, C. A. B-96<br />

Araújo, C. M. A-144, A-145<br />

Araujo, C. S. P. B-126<br />

Araújo, M. R. B. B-149<br />

Arboleda, V. E. A-291<br />

Arce Matute, F. A-74, A-124<br />

Archibald, I. B-47<br />

Arias-Stella, J. A-320, A-445<br />

Ariza, M. B-313<br />

Armbruster, D. B-289, B-290<br />

Armbruster, D. A. A-433<br />

Armbruster, F. A-293,<br />

Armstrong, P.<br />

B-185, B-306<br />

A-532, B-109,<br />

B-212, B-231<br />

Arpa, M. A-187, A-314<br />

Arslan, M. S. A-326<br />

Arzuhal, A. E. A-353<br />

Asencio, A. A-289<br />

Asirvatham, J. R. A-528<br />

Aslan, B. A-487, B-65<br />

Assi, L. K. A-231, A-232<br />

Assunção, L. G. de S.<br />

A-334,<br />

A-72<br />

Astion, M. L. B-11<br />

Aston-Abbott, L. W. A-276<br />

Attaelmannan, M. A-284, A-285<br />

Attar, N. A-378<br />

Auger, S. A-161, A-191, A-193<br />

Augusto, P. A. J. B-41<br />

Aulbach, A. D. B-05<br />

Avdoshina, S. B-234<br />

Averbuch, S. B-241<br />

Aw, T. B-211<br />

Aydın, F. Nuri. B-07<br />

Aydın, I. B-07<br />

Aydemir, B. A-381<br />

Ayinbuomwan, E. B-157<br />

Ayinbuomwan, S. B-157<br />

Azevedo, G. A-525<br />

Azevedo, R. B-310<br />

Azik, F. B-302<br />

B<br />

Babic, N. A-184, A-459<br />

Baburina, I. A-446, B-240,<br />

B-241<br />

Badciong, J. B-193<br />

Badciong, J. C. B-183, B-194<br />

Bagheri, M. B-83<br />

Bai, Y. A-241, A-263<br />

Bailén-García, M. A-376<br />

Bailey, B. A-294<br />

Bailey, D. B-284, B-289, B-290<br />

Baird, G. S. A-457<br />

Baker, W. A-12<br />

Baldo, D. C. A-422<br />

Balev, S. A-132<br />

Balherini, R. A-87<br />

Bali, D. B-72<br />

Balion, C. M. B-75<br />

Balko, J. B-162<br />

Balko, J. A. A-378<br />

Ball, G. A-429<br />

Balzer, S. A-93<br />

Ban, M. A-323, A-551,<br />

B-214, B-263<br />

Ban, R. W. B-343<br />

Bandeira, T. J. P. G. A-296,<br />

B-125, B-126<br />

Banerjee, S. A-102<br />

Baños, A. A-313<br />

Baoxiu, G. A-392<br />

Barakauskas, V. E. B-24<br />

Baral, N. A-337<br />

Barassi, A. A-154, A-473<br />

Barbi, R. C. M. A-552<br />

Barbosa, P. S. A-145<br />

Barclay, K. B-47<br />

Bardallo Cruzado, L. B-299<br />

Barden, S. A-294<br />

Bargeon, J. A-440<br />

Barinas-Mitchell, E. B-326<br />

Barlogie, B. A-258<br />

Barnes, G. A-11<br />

Barnes, J. A-10<br />

Barnidge, D. A-221<br />

Barnidge, D. R. A-163<br />

Barra, G.<br />

A-101, A-122,<br />

A-123, B-111, B-118<br />

Barrero, L. A-521<br />

Barron, J. A-535<br />

Barros, D. H. A-145<br />

Barta, T. A-112<br />

Bashir, T. A-29, B-123<br />

Basso, R. C. A-328<br />

Basu, S. A-19<br />

Batool, H. B-123<br />

Batruch, I. B-329<br />

Baugher, B. W. A-433<br />

Bauman, C. A-82<br />

Baumann, N. A. A-298, A-380,<br />

B-251, B-277, B-300<br />

Baumgaertner, J. B-71<br />

Baxter, C. B-47<br />

Bayachou, M. A-116, A-483<br />

Baycheva, V. A-499<br />

Baykan, H. A-187<br />

Baykan, O. A-187, A-314<br />

Beamon, C. B-308<br />

Beattie, J. A-481, B-220<br />

Beaulieu, D. B-116, B-138,<br />

B-139<br />

Beck, J. A-93<br />

Becker, F. A-85<br />

Becker, J. A-16<br />

Begcevic, I. B-153, B-329<br />

Beketova, E. V. B-06<br />

Belenky, A. B-84<br />

Belkheir, A. A-472<br />

Bellini, S. A-319<br />

Benchikh, M. E. A-441<br />

Bendet, I. B-119<br />

Benson, C. B-69<br />

Berenson, J. R. A-04<br />

Bereznikova, A. B-234<br />

Bergmeijer, T. O. B-76<br />

Berlanga, O. A-22<br />

Berlitz, F. A. A-512<br />

Berman, M. A-433<br />

Bermudo Guitarte, C. A-36,<br />

A-60, A-63, B-299<br />

Bertin, P. A-05<br />

Bertini, A. A-91<br />

Bertini, A. R. A-86<br />

Bevilacqua, V. B-284<br />

Bhandal, A. A-100<br />

Bhattacharya, C. A-368<br />

Bhuiyan, J. B-285<br />

Bi, C. A-558<br />

Bicalho, P. H. N. B-96, B-149<br />

Bickman, S. B-69<br />

Bierau, S. A-93<br />

Bilello, L. A-92, A-528<br />

Bin, W. A-392<br />

Binesh Marvasti, T. B-285<br />

Birkmeyer, K. B-170<br />

Birsan, A. A-161, A-191<br />

Bizon, P. B-56<br />

Bjornson, L. K. A-92, A-527,<br />

Blachon, G.<br />

A-528<br />

A-161, A-191,<br />

A-193<br />

Blair, H. A-52<br />

Blanchette, V. A-125, B-121<br />

Blasutig, I. M. A-345<br />

Blidner, R. B-54<br />

Block, D. R. A-298, A-380,<br />

B-242, B-251, B-277, B-300<br />

Bluestein, B. I. B-47, B-84<br />

Blunder, S. A-266<br />

Blyskal, B. A-233<br />

Boaretti, F. A-190, A-192<br />

Bock, J. H. B-03<br />

Bockhold, J. B-270<br />

Bodor, G. S. A-146<br />

Boise, L. A-484<br />

Boisen, M. B-54<br />

Bomberger, T. A-116<br />

Bonaca, M. P. B-175, B-178<br />

Bonilla, D. A-233<br />

Bonnefont-Rousselot, D. A-89<br />

Bonney, S. A-51, A-270<br />

Bookalam, S. B-252<br />

Bordash, F. R. A-522<br />

Bornhorst, J. A-258<br />

Borzacov, L. A-422<br />

Bose, T. A-116<br />

Botelho, J. A-332<br />

Botelho, J. C. A-279, A-351<br />

Botz, C. B-77<br />

Boudry, P. B-215<br />

Boulanger, J. A. B-333<br />

Bourque, I. A-125, B-116<br />

Bousso, A. B-143<br />

Boutin, M. B-121<br />

Bouvier-Borg, G. A-493<br />

Boyadzhyan, B. A-202<br />

276


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Boyle, M. E. A-399<br />

Bracco, D. A-479, A-501,<br />

A-502, A-503, A-504<br />

Bradshaw, T. A. B-24<br />

Brady, J. B-193<br />

Braga, M. A-502, A-504<br />

Bragato, G. A-423<br />

Brana-Mulero, C. B-40<br />

Brandler, T. A-527<br />

Brandler, T. C. A-92<br />

Brar, S. S. B-74<br />

Braunwald, E. B-175<br />

Breaud, A. A-444<br />

Brennan, E. B-47<br />

Brito, F. A. A-239<br />

Brocco, G. A-536<br />

Brochu, V. A-125<br />

Brockbank, S. B-160<br />

Bro<strong>the</strong>rton, D. A-399<br />

Brown, C. A-82<br />

Brown, L. A-177<br />

Brown, M. C. B-243<br />

Brown, P. I. A-468<br />

Brown, S. M. B-309<br />

Browne, M. B-151<br />

Buchner, C. A-407<br />

Bücker, D. H. B-117<br />

Budak, D. A-393<br />

Budd, C. A-243<br />

Budd, J. R. A-380<br />

Budd, R. A-243<br />

Buffone, G. B-312<br />

Bujold, E. A-138<br />

Bull, A. G. B-04<br />

Bulut, E. A-76<br />

Bunch, D. R. A-158, A-174,<br />

A-179<br />

Buno, A. B-260<br />

Buño Soto, A. B-195<br />

Burlingame, R. B-287<br />

Burmeister, A. A-232<br />

Burns, L. B-241<br />

Burrus, J. A-184<br />

Burssens, G. A-83<br />

Busby, B. A-448<br />

Butch, A. B-83<br />

Butler, E. C. A-38<br />

Byrne, D. B-240<br />

C<br />

Cabral, R. C. M. B-124<br />

Cagasan, L. B-293<br />

Cai, B. A-241, A-265,<br />

B-99, B-110<br />

Cai, J. A-311, B-323<br />

Caixeta, M. B-111, B-118<br />

Calero-Ruiz, M. A-376<br />

Callanan, H. B-316<br />

Callewaert, N. A-14<br />

Calton, L. A-458<br />

Calton, L. J. A-208, A-454<br />

Camara, J. E. B-269<br />

Camargo, J. M. A-422<br />

Cambern, S. J. B-242<br />

Cameron, A. B-170<br />

Camilleri, M. B-331<br />

Camilo, m. J. A-419<br />

Campagnoli, M. P. A-358,<br />

B-146, B-147<br />

Campana, P. G. B-56<br />

Campbell, J. A-51, A-270,<br />

A-532, B-109, B-212, B-231<br />

Campelo, M. D. R. A-520<br />

Campos, F. A-404<br />

Campos, L. M. A-267<br />

Campos, M. L. A-196, A-211,<br />

A-212<br />

Campos, M. L. de A-197<br />

Canales, M. B-195<br />

Cañavate Solano, C. A-74,<br />

A-124<br />

Cannon, C. P. B-175<br />

Cao, H. A-223<br />

Cao, Y. A-30<br />

Caparrós Cánovas, S. B-299<br />

Caputo, L. A-129, A-408<br />

Carayannopoulos, M. O. A-437<br />

Carbonell, L. B-264<br />

Carey, J. B-30<br />

Carle, A. A-555<br />

Carlisi, A. A-280, A-304,<br />

A-318, A-347<br />

Carlisle, H. A-431<br />

Carlisle, H. J. A-201<br />

Carlotto, G. B-38<br />

Carlow, D. C. B-294<br />

Carlson, L. B-308<br />

Carlson, T. H. A-542<br />

Carmona, M. A-521<br />

Carney, B. M. B-86<br />

Carr, K. A-165<br />

Carr-Smith, H. A-03, A-44<br />

Carr-Smith, H. D.<br />

A-20,<br />

A-253, A-273<br />

Carraher, D. B-01<br />

Carraro, P. A-423<br />

Carrillo-Vico, A. A-94<br />

Carrion, P. B-287<br />

Carroll, W. A-177<br />

Carter, K. A-550<br />

Caruso, N. A-481<br />

Caruso, N. B-220<br />

Carvalho, L. G. S. A-91, A-256,<br />

A-328, A-552,<br />

B-133, B-145<br />

Carvalho, N. M. B. A-267<br />

Casey, J. P. B-10<br />

Cassiano, D. M. A-196,<br />

A-211, A-212<br />

Castellani, W. A-399, B-288<br />

Castellani, W. J. B-182, B-194<br />

Castelo, M. G. A-296, B-125,<br />

B-126<br />

Castiglioni, M. A-154<br />

Castilho, A. A-419<br />

Castro Castro, M. J. B-339<br />

Catalona, W. J. A-05<br />

Cate, F. B-89<br />

Cavalcanti, R. A. A-87<br />

Cavalier, E.<br />

A-280, A-304,<br />

A-318, A-347<br />

Cavenagh, J. A-22<br />

Caxito, F. A. A-62<br />

Caxito, F. de A. B-140<br />

Caycı, T. B-07<br />

Ceabra, C. B-127<br />

Celi, F. S. A-307<br />

Çelik, H. T. A-372<br />

Cembrowski, G. B-239<br />

Cembrowski, G. S. A-531,<br />

B-17, B-210, B-332<br />

Cervera, J. B-68, B-280<br />

Cervinski, M. A. B-333<br />

Chae, S. B-98<br />

Chakraborty, S. A-368<br />

Chamba, A. A-51, A-270<br />

Chambers, E. A-471<br />

Chambers, R. B-243<br />

Champetier, S. B-116, B-138,<br />

B-139<br />

Chan, M. B-284, B-285,<br />

B-289, B-290<br />

Chan, P. A-254, B-176<br />

Chandler, D. W. A-170,<br />

A-305, A-329<br />

Chang, H. A-415<br />

Chang, J. B-70<br />

Chang, J. K. B-172<br />

Chang, K. C. N. B-259<br />

Chang, L. B-219<br />

Chang, P.-Y. B-21<br />

Chang, W. B-264<br />

Chang, Y.-T. B-21<br />

Charbonneau, A. B-121<br />

Chard, M. B-88<br />

Chau, B. T. H. B-129<br />

Chaudhary, N. G. A-343<br />

Che, Y. A-17<br />

Chebabo, A. B-112<br />

Chelsky, D. A-165<br />

Chen, C. B-168<br />

Chen, D. A-30, A-507<br />

Chen, H. A-04<br />

Chen, J. A-259, B-99, B-135<br />

Chen, L. A-97, A-259<br />

Chen, M. A-541<br />

Chen, Y. B-219<br />

Chen, Y. M. A-415<br />

Cheng, X. B-166<br />

Cherian, S. A-88<br />

Cherry, M. A-99<br />

Cheryk, L. A. A-152<br />

Chezick, P. A. A-482<br />

Chianca, C. A-101, A-122,<br />

A-123, B-111<br />

Chiba, H. A-186, B-318<br />

Chilingirian, A. A-173<br />

Chin, D. B-17<br />

Chindarkar, N. A-180<br />

Cho, D. A-530<br />

Cho, J. B-44<br />

Cho, S. A-510, B-101<br />

Choi, E. B-172<br />

Choi, H.-J.<br />

A-140, A-230,<br />

A-242, B-95<br />

Choi, J.-H. A-242<br />

Chong, M. A-295, B-85<br />

Chou, P. P. A-26<br />

Chowdhury, S. B-120<br />

Choy, J. B-210<br />

Christensen, P. B-01<br />

Christenson, R. H.<br />

A-229,<br />

B-196<br />

Christopher, J. B-219<br />

Chrusciak, T. F. A-256<br />

Chuang, R. A-97<br />

Chun, M.-R.R. A-366<br />

Chung, B. B-40<br />

Chung, C. B-70<br />

Chung, D. B-170<br />

Chung, J.-W. B-98<br />

Church, S. S. B-52<br />

Chusney, G. A-458<br />

Cicalese, L. A-27<br />

Cichonski, K. A-233<br />

Cigerli, S. A-420<br />

Cil, A. P. A-286<br />

Cintra, A. A-407<br />

Cintra, F. D. B-180<br />

Cintra, R. A-296<br />

Ciociola, F. A-154<br />

Citron, J. A-16<br />

Clark, L. B-220, B-235<br />

Clark, S. B-82<br />

Clarke, W. A-111, B-241<br />

Clarke, W. A. A-444<br />

Clemmensen, P. B-186<br />

Cline, D. B-276<br />

Clinton, S. A-21<br />

Clunie, I. A-469<br />

Cobacho, A. A-129, A-408<br />

Cobbold, M. A-51<br />

Cockwell, P. A-232<br />

Coeli, C. C. R. A-333<br />

C<strong>of</strong>fin, L. A-177<br />

Cohen, A. B-285, B-289, B-290<br />

Cohen, A. H. B-189<br />

Cohen, S. B-244<br />

Colangelo, J. A-176<br />

Colantonio, D. B-285,<br />

Colantonio, D. A.<br />

B-289, B-290<br />

A-474,<br />

B-189, B-284<br />

Cole, B. B-11<br />

Cole, D. E. C. A-110<br />

Coleman, J. A-480<br />

Coley, M. D. A-20, A-273<br />

Collinson, P. O.<br />

B-201,<br />

B-202, B-230<br />

Collymore, L. B-55<br />

Collymore, L. B-60<br />

Colón-Franco, J. B-89<br />

Colón-Franco, J. M. A-400<br />

Colpi, G. M. A-154<br />

Conde-Sánchez, M. B-307<br />

Connolly, S. A-537<br />

Conrad, M. B-219<br />

Conrad, M. J. B-175, B-178<br />

Considine, A. B-341<br />

Contestable, P. B-240, B-241<br />

Contois, J. H. B-321<br />

Cook, A. A-227<br />

Cormier, J.<br />

B-116,<br />

B-138, B-139<br />

Corsi, M. M. A-154<br />

Coşkun, F. A-372<br />

Cosman, M. A-320<br />

Costa, L. C. A-239<br />

Costa, S. A-101, A-122,<br />

A-123, B-111, B-118<br />

Costa, S. S. S. A-144,<br />

A-145, A-525<br />

Cote, L. A-199, A-200<br />

Cotta, C. V. A-181<br />

Cotten, S. W. A-460<br />

Cotzia, P. A-522<br />

Coughlan, M. B-341<br />

Countryman, S. A-141, A-143<br />

Courtney, J. B-240<br />

Courtney, J. B. A-446, B-241<br />

Cousineau, J. B-285<br />

Crews, B. O. B-50<br />

Crine, Y. A-280<br />

Cronin, C. A-546<br />

Crowley, J. A-258<br />

Cunha, I. A-269<br />

Curry, T. A-17<br />

Curtis, M. A-462<br />

Cury Neto, G. A-363<br />

Cusack, P. B-120<br />

Czerwensky, F. A-98<br />

D<br />

Dahlen, J. R. A-480<br />

277


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Dahlen, J. R. B-74, B-76, B-80<br />

Dai, J. A-88, B-283<br />

Dainese, A. A-423<br />

Dallazuanna, H. S. A-363<br />

Daly, T. M. B-114<br />

Damele, C. A. L. A-473<br />

Damião, L. B-97<br />

Danaceau, J. A-471<br />

Das, K. B-51<br />

Das, S. B-198<br />

Dasgupta, A. A-433<br />

Datta, P. B-283<br />

Davis, A. A-555<br />

Davis, K. Wayne. A-244, B-171<br />

Davis-Fleischer, K. A-233<br />

Dayrit, G. B. A-416<br />

De Abreu, F. B. A-118, A-130<br />

de Aquino Daher, A. L. B-33<br />

de Lemos, J. A. B-87<br />

de los Rios, S. B-174<br />

De Martino, M. C. B-56<br />

Dean, K. B-47<br />

Debiève, F. A-346<br />

Deckers, C. A-200<br />

DeCorso, K. A-04<br />

DeFrance, A. A-90<br />

Deirmengian, C. B-170<br />

del Castillo Figueruelo, B.<br />

A-344<br />

Delanaye, P. A-304<br />

Delaney, S. R. B-189<br />

Delanghe, J. R. A-14<br />

Delatour, V. B-319<br />

Delibas, N. A-76, B-302<br />

Delibası, T. A-326, A-353<br />

Delijani, K. A-04<br />

Della Bartola, L. B-59<br />

Dellavance, A. A-404, A-422<br />

DelRosso, R. A-152<br />

Delvin, E. A-541, B-285<br />

DeMarco, M. L. B-309<br />

Dembowski, S. B-193<br />

Deniz Yildiz, Z. A-395<br />

Denardin, O.<br />

A-68, A-129,<br />

A-407, A-408,<br />

A-421, B-127, B-144<br />

Denardin, O. V. P. A-268, B-39,<br />

B-124, B-142<br />

Denner, L. A-27<br />

Dennis, A. A-550<br />

Depoix, C. A-346<br />

Destra, A. L. B-39<br />

Devaraj, S. B-55, B-60, B-312<br />

Devereaux, P. J. B-179<br />

Dhaliwal, S. K. A-275<br />

Dholariya, S. A-71<br />

Diamandis, A. B-329<br />

Diamandis, E. P. B-153, B-329<br />

Dias, C. A. G. A-197<br />

Dias, V. C. A-474<br />

Díaz, C. T. S. A-267<br />

Diaz, I. B-185<br />

Diaz, R. A-97<br />

Dickerson, J. A. A-448, B-11<br />

Diejomaoh, M. F. A-312<br />

Dierksen, J. E. A-433<br />

Dietzen, D. J. B-49, B-309<br />

Dima, F. A-536<br />

DiMagno, L. B-240, B-241<br />

Dineva, D. A-499<br />

Dionne, N. B-121<br />

Divakar, K. A-53<br />

Dixon, R. B. A-425, B-244<br />

Dlott, R. S. A-291<br />

Dockery, E. A. B-262<br />

Dogan, S. A-362<br />

Dogliotti, G. A-154<br />

Doherty, S. B-109<br />

Dohnal, J. A-151, B-227<br />

Dokus, B. J. A-131<br />

Dominguez, J. R. A-289<br />

Domínguez-Pascual, I. A-344,<br />

A-348<br />

Don-Wauchope, A. A-73,<br />

A-481, B-220<br />

Donate, J. A-373<br />

Donato, L. J. B-331<br />

Donayre Medina, P. C. A-560<br />

Dorion, P. A-486<br />

Dorizzi, R. M. A-319<br />

Doroudian, R. A-100<br />

Doseck, S. A-460<br />

Dot Bach, D. B-339<br />

Dowd, J. A-446<br />

Dowlin, M. B-312<br />

Dowty, D. A-233<br />

Doyle, R. A-199<br />

Doyle, R. M.<br />

A-166, A-167,<br />

A-168, A-195,<br />

A-198, A-217, A-219<br />

Dozio, E. A-154<br />

Drayson, M. A-51, A-270<br />

Drees, J. C. A-291<br />

Dschietzig, T. A-137, B-185<br />

Du, S. A-399, B-182, B-183,<br />

B-193, B-194, B-288<br />

Dudek, T. A-85<br />

Dueñas, J. L. B-296<br />

Dugourd, D.<br />

B-116,<br />

B-138, B-139<br />

Duitsman, K. A-288<br />

Dumitrascu, V. A-96<br />

Dunlop, A. J. A-469<br />

Dunn, C. A-538<br />

Dunn, J. A-164<br />

Dunn, S. A-99<br />

Dupont, W. B-89<br />

Dupont, W. D. A-400<br />

Dupret-Carruel, J. A-153<br />

Duran, M. M. B-156<br />

Düzgün, A. P. A-372<br />

E<br />

Eastwood, M. P. A-208,<br />

A-454, A-458<br />

Eckhardt, A. B-72<br />

Eckle, S. B-339<br />

Edwards, R. B-55<br />

Edwards, R. M. B-60<br />

Edwards, S. H. B-320<br />

Egea-Guerrero, J. B-161<br />

Egi, V. N. J. A-211<br />

Ehrich, M. B-293<br />

Eibl, J. A-246<br />

El Awamy, H. M. A-472<br />

El Gierari, E. M. A-189<br />

El Kouhen, R. B-193, B-194<br />

El Shanawani, F. M. A-33,<br />

A-375, A-424, B-223<br />

El-Khoury, J. M. A-158, A-172,<br />

A-174, A-175,<br />

A-467, A-544, A-545<br />

Elbireer, A. A-367<br />

Elef<strong>the</strong>riades, M. B-305<br />

Elfahal, M. M. A-225, A-538<br />

Elferink, C. A-27<br />

Elfrady, M. A-472<br />

Elias, A. N. A-342<br />

Elshaari, F. A-472<br />

Enamorado-Enamorado, J.<br />

B-161<br />

Epner, P. B-11<br />

Epps, N. A. B-275<br />

Erbağcı, A. B-344<br />

Erbagci, A. B. A-360<br />

Erden, G.<br />

A-76, A-290,<br />

A-317, A-326, A-353<br />

Erden, G. A-372<br />

Erden, G. B-302<br />

Erdogan, S. A-326<br />

Eren N. A-395, A-420<br />

Erickson, J. A-97<br />

Erickson, J. A. B-113<br />

Erman, H. A-325, A-354, A-381<br />

Erturk, N. A-64<br />

Esgi, G. B-344<br />

Estelha, P. A-269<br />

Estey, M. B-285<br />

Estis, J. B-196, B-209, B-218<br />

Everds, N. B-05<br />

F<br />

Fabiani, F. A-247, B-296<br />

Faggian, D. A-423<br />

Faint, J. A-257<br />

Faint, J. M. A-232<br />

Faix, J. D. A-189<br />

Faiz, M. A-29, B-123<br />

Fan, R. A-283<br />

Fantz, C. R. A-364, B-11<br />

Farace, M. D. A-72, A-334<br />

Faro, L. B.<br />

B-39, B-41,<br />

B-48, B-142, B-143<br />

Farooq, S. A-508<br />

Farris, C. M. B-150<br />

Farris, J. A-332<br />

Fasano, A. A-240<br />

Fathoom, E. A-472<br />

Faulhaber, A. C. L. A-427<br />

Feduszczak, T. A-73<br />

Feeney, R. B-297<br />

Felberg, J. B-218<br />

Feldkamp, C.<br />

A-320,<br />

A-445, B-30<br />

Feliu, J. B-195<br />

Feltis, T. B-16<br />

Fenelus, M. A-92, A-527<br />

Feng, W. A-265<br />

Fereck, C. A-486<br />

Feres, M. C. B-56<br />

Ferguson, A. M. A-455, B-291<br />

Fernandes, F. A-404<br />

Fernandes, F. F. A-422<br />

Fernandes, O.<br />

A-148, A-296,<br />

A-330, A-355, A-358, A-363,<br />

B-33, B-41, B-112, B-119,<br />

B-125, B-126, B-143, B-147<br />

Fernandez, B.<br />

A-323, A-551,<br />

B-214, B-263<br />

Fernandez-Calle, P. B-260<br />

Ferraro, J. Y. A-86<br />

Ferraz, M. L. A-404<br />

Ferraz, M. L. C. G. A-422<br />

Ferreira, C. E. S. A-427<br />

Ferreira, G. A. A-239<br />

Ferreira, R. C. B-37<br />

Ferreira, S. B. A-87<br />

Ferros, M. A-04<br />

fFeres, M. C. B-180<br />

Fiedler, G. M. B-339<br />

Figueiredo, F. A-404<br />

Figueiredo, M. L. N. B-41,<br />

B-142<br />

Filatov, V. B-234<br />

Filimon, N. A-96<br />

Filimonova, D. M. B-06<br />

Filson, L. B-40<br />

Fine, G. B-20<br />

Fínek, J. A-543<br />

Finnegan, K. A-494<br />

Fischler, M. B-53<br />

Fisher, M. A-10<br />

Fitt, W. A-486<br />

Fitzgerald, R. A-180<br />

Fitzgerald, S. P. A-441, A-532,<br />

B-109, B-151, B-152, B-158,<br />

B-159, B-160, B-191, B-212<br />

Fitzgerald, S. P. B-231<br />

Flaherty, B. B-219<br />

Flanagan, J. A-234, A-257<br />

Flores Toledo, S. M. A-560<br />

Flumian, F. A-407<br />

Flynn, A. A-10<br />

Flynn, C. A-538<br />

Foertsch, S. A-15, B-261<br />

Fonfrede, M. A-89<br />

Fonsceca, C. R. B-124<br />

Fonseca, S. F. A-525<br />

Fontes, R. A-330, A-333<br />

Fontes, T. A-535<br />

Foote, R. S. B-188<br />

Ford, L. B-235<br />

Fordstrom, P. B-05<br />

Forest, J.-C. A-138, A-297<br />

Foster, M. T. B-333<br />

Fountain, K. A-471<br />

Fox, D. B-139<br />

Fox, L. B-241<br />

Frampton, G. A-100<br />

Franco, M. B-118<br />

Freeman, J. A-136<br />

Freire, M.<br />

A-67, A-330,<br />

A-333, B-145<br />

Freire, M. Di C. A-327, A-356<br />

Freire, M. D. C. A-328, B-146<br />

Frew, J. A-441<br />

Friesen, L. R. B-262<br />

Frost, S. B-341<br />

Fu, K. B-60<br />

Fu, L. A-110<br />

Fu, Y. B-99, B-135<br />

Fuda, H. A-186, B-318<br />

Fuezery, A. K. A-444<br />

Fujiki, M. A-11<br />

Fujiyoshi, A. B-326<br />

Fukuoka, S. B-104<br />

Fuller, L. C. B-275<br />

G<br />

Gabler, J. A-158, A-159<br />

Gaburo, N. A-67, A-68, A-129,<br />

A-407, A-408, A-419,<br />

A-421, A-553, B-127,<br />

B-141, B-143, B-144<br />

Gadisseur, R. A-318, A-347<br />

Gaedcke, J. A-93<br />

Gaeler, K. A-474<br />

Galarneau, H. A-125<br />

Galoro, C. A. O. A-86, A-268<br />

Galunska, B. A-132<br />

Galuska, S. B-259<br />

Galvani, K. A. B-182<br />

Gambhir, J. K. A-371<br />

278


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Gan, C. A-175, B-304<br />

Gandhi, A. A-147, A-452<br />

Gandhi, G. A-71<br />

Gandufe, F. A-67, A-129, B-144<br />

Gao, L. A-30<br />

Garber, C. A-558<br />

Garby, D. M. A-152<br />

Garcia, C. A-196, A-197,<br />

A-211, A-212<br />

Garcia, H. A-72, A-334<br />

Garcia, M. Lopes. B-41, B-143<br />

Garcia De La Torre, A. A-74,<br />

A-124<br />

García de Veas Silva, J. A-36,<br />

A-60, A-63, B-299<br />

García Hernández, P. B-153<br />

Garcia-Garcia, F. J. A-94<br />

Garcia-Perez, J. A-373<br />

Garcia-Saborido, M. C. A-348<br />

Gardel, M. B-219<br />

Garg, U. A-455, B-291<br />

Garrison, K. A-451<br />

Gaston, S. A-380<br />

Gatcombe, M. A-332<br />

Gautam, S. A-337<br />

Gau<strong>the</strong>rot, E. A-493<br />

Gavin, I. B-79<br />

Gaze, D. B-202, B-230<br />

Gaze, D. C. B-201<br />

Geacintov, C. E. A-85<br />

Gearhart, M. B-308<br />

Gelal, B. A-337<br />

Gelisgen, R.<br />

A-325,<br />

A-354, A-381<br />

Genta, V. M. B-52, B-276<br />

Gentry- Maharaj, A. A-10<br />

Gentzer, W. K. A-229<br />

Georganopoulou, D. A-05<br />

Gerin, F. A-187, A-314<br />

Gerova, D. A-132<br />

Geyer, R. A-83, B-256<br />

Ghadessi, M.<br />

A-323, A-551,<br />

B-214, B-263<br />

Ghilardi, F. A-473<br />

Gialouri, E. A-365<br />

Giampietro, O. B-59<br />

Giannoutsos, S. A-438<br />

Gibson, B. B-114<br />

Giesen, C. D. A-386, B-242<br />

Giguère, Y. A-138, A-297<br />

Gil, G.-C. A-165<br />

Gilburd, B. A-260<br />

Gilman, N. L. A-275<br />

Gilmanov, A. A-287<br />

Gimenez, M. B-127<br />

Ginis, Z.<br />

A-76, A-290, A-317,<br />

A-326, A-353, B-302<br />

Giovanelli, R. P. B-03, B-04<br />

Girouard, J. A-138<br />

Givens, M. B-69<br />

Glezakou, O. A-365<br />

Gloria, C. A-434<br />

Goba, A. B-54<br />

Gocheva, N. A-499<br />

Godefroy, C. A-493<br />

Godfraind, A. B-203<br />

Godfroy, J. B. B-90<br />

Godschalk, T. B-76<br />

Godwin, Z. B-270<br />

Goedert, E. B-48<br />

Goertz, D. B-325<br />

Goishi, K. A-340<br />

Gökcen, C. A-360<br />

Gokyigit, F. A-395<br />

Goldberg, B. J. A-228<br />

Goldberg, J. M. B-194<br />

Goldford, M. A-500<br />

Goldsmith, B. M. B-115<br />

Gollini, C. A-319<br />

Gomaa, S. H. A-117, B-345<br />

Gomes, F. S. A-520<br />

Gomes, M. O. B-125<br />

Gomez-Bravo, M. A. A-521<br />

Gomez-Rioja, R. B-260<br />

Gong, Q. A-391<br />

Gong, Y. B-252<br />

Gonzalez, A. A-66<br />

Gonzalez, C. A-518, B-296<br />

González Rodríguez, C. A-36,<br />

A-60, A-63, A-247, B-299<br />

Goodacre, S. B-230<br />

Goodall, M. A-51, A-270<br />

Goodenowe, D. A-206<br />

Gordillo-Escobar, E. B-161<br />

Gorsh, A. A-335<br />

Goto, M. B-102<br />

Gottlieb, S. S. B-196<br />

Goudy, K. A-06<br />

Gounden, V.<br />

A-75,<br />

A-173, A-307<br />

Graber, M. B-11<br />

Gradisse, J. A-239<br />

Graham, C. B-72<br />

Gramegna, M. A-47, B-250<br />

Grant, J. B-47<br />

Grasso, K. B-194<br />

Grasso, K. B. B-182<br />

Gratzl, M. B-78<br />

Graubner, D. B-52<br />

Graves, J. E. B-04<br />

Gray, A. V. B-222, B-322<br />

Greeley, N. B-66<br />

Green, D. M. A-131<br />

Green, G. B-240, B-241<br />

Greene, D. N. A-291<br />

Greeno, A. M. A-386<br />

Greenstein, M. B-264<br />

Greenway, D. B-285<br />

Greer, R. A-292<br />

Greer, R. W. A-316<br />

Greiber, D. B-276<br />

Grenache, D. G.<br />

A-21,<br />

B-113, B-247<br />

Grey, V. B-285<br />

Gribben, A. B-159<br />

Grieveson, R. E. A-277<br />

Grimmler, M. B-71<br />

Grogan, R. H. A-183<br />

Grondin, J. A-125<br />

Gronowski, A. M. B-50<br />

Groppa, S. A-148<br />

Gruson, D.<br />

A-346,<br />

B-177, B-203<br />

Gu, B. A-238<br />

Gu, J. A-173<br />

Guadix, P. B-296<br />

Gudaitis, D. A-147, A-452<br />

Gudaitis, P. A-147, A-452<br />

Guerrero, J. B-161<br />

Guerrero, J. M. A-94, A-313,<br />

A-348, A-514, A-521,<br />

B-43, B-57, B-307, B-313<br />

Guerrero-Montávez, J. M.<br />

A-344<br />

Guidi, G. A-520, A-536, A-554<br />

Guillot, M. B-121<br />

Guixing, L. A-392<br />

Gumpl, E. K. B-124<br />

Gun-Munro, J. B-65<br />

Gunasekera, B. A-483<br />

Gundogdu Celebi, L. A-395<br />

Guneyk, A. A-290, A-317<br />

Guntas Korkmaz, G. A-381<br />

Gupta, M. A-175<br />

Gupta, N. A-508<br />

Gupta, S. A-70, A-371, B-198<br />

Gurler, M. A-290<br />

Guru, S. A-71, A-508<br />

Gutierrez, D. A-112<br />

Gutierrez, M. B-12, B-29<br />

Gutiérrez-Romero, J. A-376<br />

Gutmann, E. J. A-131<br />

Guymon, R. B-292<br />

Gwosc, S. B-228<br />

Gyawali, P. B-237<br />

H<br />

Ha, J. A-108<br />

Ha, J.-S. A-109<br />

Ha, J. B-44<br />

Ha, S. B-101, B-101<br />

Hackeng, C. M. B-76<br />

Hackenmueller, S. A. A-432<br />

Haidacher, S. J. A-27<br />

Hainzinger, M. A-459<br />

Hajduk, T. A-288<br />

Haklar, G. A-187, A-314<br />

Haliassos, A. B-301, B-305<br />

Hamada, C. A-374<br />

Hamada, E. B-254, B-258<br />

Hamel, F. B-121<br />

Hammel, M. B-82<br />

Hammerstrom, T. B. B-24<br />

Hammett-Stabler, C. A.<br />

A-329,<br />

B-308<br />

Han, H. A-102<br />

Han, Q. B-217<br />

Han, S. B-70, B-172<br />

Han, Y. A-31<br />

Handa, S. A-19<br />

Haner, R. A-547<br />

Hanhoerster, L. M.<br />

A-214,<br />

A-220<br />

Hanley, M. M. B-242<br />

Hanlon, D. B-219<br />

Hannah, J. A-206<br />

Hansen, S. I. B-186<br />

Hanson, S. A-537<br />

Hansson, L.-O.A. B-164<br />

Hao, C. A-210<br />

Haolan, S. A-392<br />

Harding, S. A-258<br />

Harding, S. J. A-03, A-19, A-20,<br />

A-22, A-44, A-231,<br />

A-232, A-248, A-249,<br />

A-250, A-251, A-252,<br />

A-253, A-272, A-273, A-274,<br />

A-275, A-276, A-277, A-278<br />

Harley, E. A-243<br />

Harley, J. A-243<br />

Harris, K. M. B-196<br />

Harris, K. T. A-556<br />

Harrison, H. H. A-486<br />

Harvey, R. A-484<br />

Hasan, M. M.<br />

A-33,<br />

A-375, A-424<br />

Hashim, I. A. B-34, B-87, B-162<br />

Hashimoto, T. B-184, B-206<br />

Hassiakos, D. B-305<br />

Hatakeyama, Y. A-58<br />

Hatanaka, N. B-257<br />

Hathiramani, S. S. B-34<br />

Hausmann, M. A-153<br />

Havelka, A. M. B-164<br />

Hawk, A. B. A-131<br />

Hawkins, D. A-479, A-504<br />

Hayashi, F. A-410<br />

Hayashi, S. B-102<br />

Hayden, J. A. A-457<br />

He, H. A-321<br />

He, K. A-11<br />

He, Y. A-391<br />

Healey, J. R. A-548<br />

Heaney, J. A-51<br />

Heaphy, B. B-221<br />

Heidel<strong>of</strong>f, C. A-171<br />

Heimann, J. B-97<br />

Heine, C. E. A-435<br />

Hektor, T. B-71<br />

Hellmich, R. A-85<br />

Helmer, G. A-100<br />

Henderson, I. A-540<br />

Henderson, M. P. B-252<br />

Henderson, M. P. A.<br />

A-549,<br />

B-67<br />

Hennecke, S. A-93<br />

Herberholz, E. B-30<br />

Herkert, M. A-85<br />

Herman, J. H. A-302<br />

Hernandez, J. B-26<br />

Herold, M. A-246, A-266<br />

Herrera-Rey, M. T. A-344<br />

Herrera-Rey, T. A-348<br />

Herzog, D. A-518<br />

Heuillet, M. B-319<br />

Hickman, P. E. B-190<br />

Hidaka, Y. A-410<br />

Higgins, J. M. A-485<br />

Higgins, T. A-537<br />

Higgins, T. N. B-332<br />

Hill, J. A-218, B-267<br />

Hill, S. B-179<br />

Hill, T. B-55, B-60<br />

Hinojosa, R. A-521<br />

Hirano, K. A-491<br />

Hirany, S. B-34, B-162<br />

Hirao, Y. B-340<br />

Hirbawi, J. A-506, B-154<br />

Hisahara, T. A-58<br />

Hoag, G. A-429<br />

Hoag, G. N. B-278<br />

Hoang, C. A-539, B-336<br />

Hocher, B. A-293, B-306<br />

Hodkinson, C. A-10<br />

Hoebeke, P. A-14<br />

Hoering, A. A-258<br />

H<strong>of</strong>fman, B. R. A-345, B-64<br />

H<strong>of</strong>fman, R. M. B-217<br />

H<strong>of</strong>fmann, J. B-339<br />

H<strong>of</strong>mann, M. B-185<br />

Hoke, C. A-291<br />

Holert, F. B-136, B-238<br />

Hollen, T. A-28<br />

Holmquist, B. A-170, A-305<br />

Holt, R. A-518<br />

Hong, J. A-28<br />

Honorio, L. B-112<br />

Ho<strong>of</strong>nagle, A. B-330<br />

Ho<strong>of</strong>nagle, A. N. A-457<br />

Horii, T. A-77, A-374, B-246<br />

Horne, B. D. B-233, B-275<br />

Hornstein, G. A-494<br />

Horton, K. A-502<br />

Hotte, S. A-48<br />

Householder, J. B-14<br />

279


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Houston, J. B-105<br />

Howell, E. B-270<br />

Hrynkow, J. A-291<br />

Hsi, E. D. A-181<br />

Hualan, H. A-392<br />

Huang, H. A-321<br />

Huang, J. A-399, B-182<br />

Huang, K. A-291<br />

Huang, L. A-28, A-238<br />

Huang, P. A-31<br />

Huang, Y.-F. A-222<br />

Huang, Y.-C. A-222<br />

Hughes, R. A-03, A-44<br />

Hughes, R. G. A-231<br />

Huh, H. B-98<br />

Hui, S. P. A-186, B-318<br />

Hull, M. E. A-38<br />

Hutchinson, E. B-88<br />

Hutson, A. A-16<br />

Hyland, J. A-172<br />

Hynan, L. S. A-378<br />

I<br />

Iancu, D. M. A-16<br />

Iannaccaro, R. A-505<br />

Idei, M. A-374<br />

Idogun, S. E. B-157<br />

Ignjatovic, S. A-331<br />

Illarionova, V. K. B-06<br />

Inaba, C. B-254<br />

Inoue, H. B-337<br />

Inoue, N. A-410<br />

Io, H. A-374<br />

Ionemoto, H. B-143<br />

Irhibhogbe, P. E. B-157<br />

Irie, T. B-317<br />

Irikura, M. B-317<br />

Isenberg, D. A-231<br />

Ishfaq, M. A-29<br />

Ishige, T. A-34, A-46<br />

Ishii, J. B-184, B-206<br />

Ishii, K. A-77, A-374, B-246<br />

Ishii, S. A-389<br />

Ishikawa, T. B-184, B-206<br />

Ishitsuka, Y. B-317<br />

Ito, Y. B-167, B-173, B-340<br />

Itoga, S. A-09, A-34, A-46<br />

Iturzaeta, J. M. B-260<br />

Ivanova, I. A-132<br />

Iversen, K. B-186<br />

Ives, J. B-69<br />

Iwahara, K. B-254<br />

Iwatani, Y. A-410<br />

J<br />

Jack, R. M. A-448<br />

Jackson, R. M. B-277<br />

Jackson, S. B-240, B-241<br />

Jackson, T. K. A-430<br />

Jacob, A. A-19<br />

Jacob, C. B-310<br />

Jacobs, I. A-10<br />

Jacobson, R. A-88<br />

Jacomo, R. H. A-525<br />

Jaffe, A. S.<br />

A-507,<br />

B-179,B-222,<br />

B-316, B-322, B-331<br />

Jambor, L. G. A-202, A-203<br />

Jamtsho, R. B-18<br />

Jang, M.-J. A-242, A-530<br />

Jang, S. A-103<br />

Jannetto, P. J. B-242, B-277<br />

Jaques, L. L. A-87<br />

Jara Aguirre, J. C. A-560<br />

Jarolim, P.<br />

B-175,<br />

B-178, B-219<br />

Jarrari, A. M. A-472<br />

Jarvis, M. A-80, A-205, A-281<br />

Jarvis, M. J. Y. A-193, A-324<br />

Javid, J. A-71, A-508<br />

Jean, V. B-116, B-138, B-139<br />

Jeansson, S. B-137<br />

Jefferies, R. A-51, A-270<br />

Jekarl, D. B-70<br />

Jenkins, J. C. A-460<br />

Jenkins, S. M. A-386<br />

Jensen, T. J. B-293<br />

Jeon, D. A-108<br />

Jeon, D.-S. A-109<br />

Jeon, Y. A-510<br />

Jeong, J.-S. A-155<br />

Jeong, J. A-379<br />

Jesson, M. B-01<br />

Jia, J. A-477<br />

Jia, Y. A-496, A-498, A-515<br />

Jiang, H. A-477, A-496, A-498,<br />

A-515<br />

Jiang, Y. A-206, A-238<br />

Jin, C. B-84, B-94<br />

Jin, M. B-40<br />

Jin, S. A-186, B-318<br />

Jin, W. A-206, A-324<br />

Jo, M. B-204<br />

Joaquim, T. R. B-243<br />

Joe, G. B-101<br />

Jogiraju, H. B-163<br />

Johansson, C. B. B-164<br />

Johnson, H. A-252<br />

Johnson, S. R. B-45, B-58<br />

Johnson-Davis, K. L. A-191,<br />

A-468, B-24<br />

Johnston, H. B-231<br />

Jolliffe, C. A-210<br />

Jolly, B. B-155<br />

Jones, A. B-54<br />

Jones, J. A-486<br />

Jordan, N. B-105<br />

Jorgensen, M. B. B-103<br />

Jortani, H. A. A-436<br />

Jortani, S. A-470<br />

Jortani, S. A. A-436<br />

Jovicic, S. A-331<br />

Ju, H. A-27<br />

Juarez-Falgoust, P. A-38<br />

Juenke, J. M. A-468<br />

Jun, H. A-392<br />

Jung, B. B-285<br />

Junior, M. A. P. B-33<br />

Junior, N. L. R. A-256, B-133<br />

Juvent, V. B-215<br />

K<br />

Kırma, C. A-420<br />

Kadiric, E. B-121<br />

Kalafatis, M. A-506, B-154<br />

Kalbfleisch, T. S. A-02<br />

Kaleta, E. A-335, B-26<br />

Kallmes, D. F. A-377<br />

Kallner, A. A-78, A-561<br />

Kalra, B. A-349, A-350, B-09<br />

Kalra, O. A-371<br />

Kamada, M. A-58<br />

Kamihara, K. B-257<br />

Kampfrath, T. A-06, A-81,<br />

A-436, A-470<br />

Kanaly, A. A-99<br />

Kaneko, C. A-237<br />

Kaneva, R. A-499<br />

Kang, S.-H. A-103<br />

Kano, M. B-167<br />

Kantartzis, A. A-111<br />

Kanzow, P. A-93<br />

Kaplan, E. L. A-183<br />

Kaptein, J. S. A-228<br />

Kapur, B. M. A-456<br />

Kara, A. A-64, B-234<br />

Kara, A. N. B-06, B-192<br />

Karampas, G. B-305<br />

Karaszi, E. A-225<br />

Karayagmurlu, A. A-360<br />

Kardos, K. B-170<br />

Karon, B. B-77<br />

Karon, B. S.<br />

A-507, B-49,<br />

B-222, B-277<br />

Karpievitch, Y. A-165<br />

Karr, B. A-534, A-546<br />

Karras, R. A-221<br />

Karras, R. M. A-163<br />

Karrison, T. B-188<br />

Karunamurthy, A. A-438<br />

Karydi, A. B-213<br />

Kasuga, K. A-77<br />

Kataoka, H. A-58<br />

Katayama, Y. B-317<br />

Katrukha, A. B-234<br />

Katrukha, A. G. B-06, B-192<br />

Kattar, M. M. B-239<br />

Katzmann, J. A-221<br />

Kaufman, J. A-484<br />

Kaur, A. A-249, A-277<br />

Kausar, S. A-251, A-272<br />

Kavsak, P.<br />

A-48, A-402,<br />

B-179, B-220, B-235<br />

Kayahara, N. B-317<br />

Kazarian, G. B-170<br />

Kazmierczak, D. E. B-221<br />

Kazmierczak, S. C. B-221<br />

Keczem, L. E. A-548<br />

Kee, S.-J.<br />

A-230, A-242,<br />

A-530, B-95<br />

Keim, R. A-547<br />

Kellermann, G. B-94<br />

Kellermann, M. B-94<br />

Kellogg, M. D. A-164<br />

Kelly, K. B-83<br />

Kelly, M. F. B-158<br />

Kelly, W. B-30<br />

Kelsey, D. E. B-333<br />

Kempe, M. B-336<br />

Kenwell, K. B-152<br />

Kern, D. W. A-160<br />

Kerrigan, J. B-190<br />

Keter, D. B-243<br />

Kettlety, T. A-11<br />

Keutmann, S. A-561<br />

Khachatryan, S. A-284, A-285<br />

Khajuria, A. A-257, B-02<br />

Khan, N. A-517, A-519<br />

Khanal, M. P. B-237<br />

Kharitonov, A. V. B-192<br />

Khartabil, T. A-479<br />

Khoury, R. A-147, A-452<br />

Khupusup, K. B-15<br />

Kieffer, T. W. B-63<br />

Kiehl, B. B-137, B-150<br />

Kiernan, U. A. A-178<br />

Kil, M. B-101<br />

Killeen, A. A. B-273<br />

Killingsworth, L. B-325<br />

Kilmartin, P. B-170<br />

Kilpatrick, E. L. B-169<br />

Kim, C. B-84<br />

Kim, D. B-47<br />

Kim, D. K. A-366<br />

Kim, E. B-101<br />

Kim, H.-S. A-108, A-109<br />

Kim, H. B-44<br />

Kim, J. A-108<br />

Kim, J.-R. A-109<br />

Kim, J. B-44, B-84<br />

Kim, K. A-379<br />

Kim, M. A-379, A-510<br />

Kim, S.-K. A-155<br />

Kim, S.-H. A-155, A-530<br />

Kim, S. B-101<br />

Kim, S.-Y. B-204<br />

Kim, Y. B-70, B-204<br />

Kimmich, D. A-486<br />

Kimura, S. C. B-104<br />

Kimura, T. B-317<br />

King, C. A-542<br />

King, L. A-539<br />

Kingston, D. B-73<br />

Kitagawa, F. B-184, B-206<br />

Kitajima, I.<br />

A-491, B-102,<br />

B-205, B-337<br />

Kitamura, Y. A-340<br />

Kitpoka, P. B-15<br />

Kittanakom, S. A-73, B-75<br />

Kitto, A. A-04<br />

Kiyota, R. B. A-135<br />

Kiziler, A. A-381<br />

Klee, G. G. A-380<br />

Klimenko, A. B-234<br />

Kloke, K. M. A-482<br />

Klotz, W. A-246, A-266<br />

Knouse, W. A-547<br />

Ko, K. A-107<br />

Koch, C. D. A-507, B-49<br />

Koch, C. K. B-222<br />

Koch, D. D. A-315<br />

Koch, P. B-53<br />

Kochhar, D. A-494<br />

Koerbin, G. B-190<br />

Kolla, S. D. A-472<br />

Kollmar, O. A-93<br />

Konev, A. A. B-192<br />

Konforte, D. B-289<br />

Kong, L. A-53, A-69, A-70<br />

Koniari, K. A-365<br />

Konko, K. A-11<br />

Kopelman, R. A-17<br />

Kopnitsky, M. J. A-233<br />

Korbo, J. A-82<br />

Korpi-Steiner, N. A-559<br />

Korpi-Steiner, N. L. A-329<br />

Korzun, W. J. A-378<br />

Kosanam, H. B-153<br />

Kosewick, J. A-157<br />

Kotani, K. B-327, B-328<br />

Kotzev, I. A-132<br />

Koursopoulou, M. A-365<br />

Kozak, M. A-169<br />

Kozlovsky, S. V. B-06, B-192<br />

Kozo, D. B-240, B-241<br />

Krantz, D. S. B-196<br />

Krastins, B. A-178, A-183<br />

Kremitske, D. A-486<br />

Kroll, M. H. A-558<br />

Ku, C. B-84<br />

Kuchipudi, L. A-559<br />

Kuchipudi, L. S. B-19<br />

Kühbauch, M. B-76<br />

280


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Kuhbauche, R. A-408<br />

Kuhn, D. A-261<br />

Kul, S. B-344<br />

Kumar, A.<br />

A-284, A-285,<br />

A-349, A-350, B-09<br />

Kunakorn, M. B-15<br />

Kuno, A. B-184, B-206<br />

Kunst, A. B-17<br />

Kuo, S.-F. B-106<br />

Kuramura, E. B-257<br />

Kuriki, K. H. A-212<br />

Kurt, N. A-64<br />

Kuru Pekcan, M. A-286<br />

Kushnir, M. M. A-292, A-316<br />

Kuth, R. A-15, B-261<br />

Kutscher, P. B-162<br />

Kuus, K. A-261<br />

Kuwata, H. B-317<br />

Kwon, H. B-204<br />

Kwon, M.-J. A-107<br />

Kyriakopoulou, L. A-345,<br />

B-289, B-290<br />

Kyriakopoulou, L. G. A-207<br />

L<br />

La, M. A-531<br />

La Motta, M. A-47<br />

La’ulu, S. L. A-244, A-271,<br />

A-292, A-316, B-171<br />

Labarbera, J. A-486<br />

Labay, L. A-533<br />

Labes, E. G. B-33<br />

Labourdette, R. A-125, B-116<br />

Lackner, K. B-216<br />

Lacoursiere, J. A-161, A-191<br />

Ladwig, P. A-221<br />

Ladwig, P. M. A-163<br />

Lai, P.-W. B-193<br />

Lakos, G. A-240, A-407, B-287<br />

Lalere, B. B-319<br />

Lama, R. A-35, B-148<br />

LaMarr, W. A-447<br />

Lamont, J. V. B-152<br />

Lamsal, M. A-337<br />

Landmark, J. D. A-302, A-464<br />

Lane, W. J. A-364<br />

Langston, A. A-484<br />

Lapointe, S. A-125<br />

Laposata, M. B-11<br />

LaRock, K. B-86<br />

Larouche, P.-L. B-116,<br />

B-138, B-139<br />

Latawiec, A. A-194<br />

Lauf, C. A-85<br />

Lavoie, S. B. A-138<br />

Law, T. A-164<br />

Lawson, S. E. A-467<br />

Layden, J. B-336<br />

Layne, J. A-141<br />

Lazo, E. A-435<br />

Le G<strong>of</strong>f, C. A-280<br />

Leamon, J. H. B-248<br />

Lebeau, L. B-215<br />

Leblang, A. A-53<br />

Lechner, J. M. B-51<br />

Leclerc, B.<br />

B-116,<br />

Ledgerwood, C.<br />

B-138, B-139<br />

B-151, B-152,<br />

B-158, B-160<br />

Ledue, T. B. A-229<br />

Lee, B. B-84<br />

Lee, B. Y. B-90<br />

Lee, C. B-70, B-172<br />

Lee, C. C. A-160, A-183<br />

Lee, H.-S. A-155<br />

Lee, H. A-510, B-204<br />

Lee, H.-K.K. A-430<br />

Lee, J. A-108<br />

Lee, J.-H. A-109, B-204<br />

Lee, M. A-173, A-233, A-510<br />

Lee, O. A-230, A-242, B-95<br />

Lee, S. B-70, B-172<br />

Lee, S.-Y. A-140, B-95<br />

Lee, S.-Y.Y. A-366<br />

Lee, W. A-108<br />

Lee, W.-M. A-109, A-378<br />

Lee, Y.-M. A-155<br />

Lee, Y. B-84<br />

Lefferts, J. A. A-130, A-131<br />

Lehman, C. M. B-24<br />

Lehmann, C. B-256<br />

Leite, T. T. B-126<br />

Leiva-Salinas, C.<br />

A-289,<br />

B-12, B-29<br />

Lemaitre, R. B-330<br />

Lembright, K. A-171<br />

Lembright, K. E. A-467<br />

Lenichek, P. B-214, B-263<br />

Lennartz, L. B-215, B-216<br />

León-García, C. B-307<br />

León-Justel, A.<br />

A-521,<br />

B-43, B-161<br />

Leonard, K. A-294<br />

Leonard, K. S. A-440<br />

Lepoutre, T. B-177, B-203<br />

Létourneau, S. A-125<br />

Leucht, S. A-98<br />

Leung, E. K. A-160, A-183,<br />

A-184, A-434, B-188<br />

Levine, M. A. B-294<br />

Levine, R. A-517, A-519<br />

Levine, R. A. B-103<br />

Levine, S. A-519<br />

Lewis, S. A-102<br />

Li, B. B-148<br />

Li, D. A-442<br />

Li, G. A-388, A-556<br />

Li, H. A-254, A-548<br />

Li, J.<br />

A-04, A-37,<br />

A-496, A-515<br />

Li, L. B-99<br />

Li, M. A-04<br />

Li, Q. A-31<br />

Li, S. A-37, A-69, A-106,<br />

A-141, A-143, B-100, B-217<br />

Li, W. A-223, A-265<br />

Li, X. A-97<br />

Li, Y.<br />

A-28, A-263, A-465,<br />

B-110, B-135, B-168<br />

Li, Z.-Q. A-11<br />

Liao, Y. A-465, B-110, B-135<br />

Libanori, G. B-56<br />

Liberal, V. B-174<br />

Lieske, J. C.<br />

A-386,<br />

B-242, B-322<br />

Lillo, R. B-12, B-29<br />

Lim, S.-J. A-140<br />

Lim, S.-W.W. A-366<br />

Lima, C. A. B-149<br />

Lima-Oliveira, G.<br />

A-520,<br />

A-536, A-554<br />

Lin, C.-N. A-222<br />

Lin, C.-K.E. A-228<br />

Lin, H. A-38<br />

Lin, H.-H. A-61<br />

Lin, H.-C. B-106<br />

Lin, J.-S. B-106<br />

Lin, K. A-141<br />

Lin, L. A-495<br />

Linder, J. A-479, A-501,<br />

A-502, A-503, A-504<br />

Linder, M. A-06<br />

Lindpaintner, K. B-243<br />

Lipke, B. H. A-38<br />

Lipowsky, C. A. B-193<br />

Lippé, C. B-116, B-138, B-139<br />

Lippi, G. A-520, A-536, A-554<br />

Lisnevskaia, L. A-231<br />

Lison, P. A-346<br />

Litt, S. A-400, B-89<br />

Litten, J. B-14<br />

Little, B. A-102<br />

Little, R. A-537<br />

Liu, A. B-292<br />

Liu, J. B-168<br />

Liu, L. A-299, A-438, B-293<br />

Liu, T. A-97<br />

Liu, W. A-206<br />

Liu, X. A-131<br />

Lo, K. A-492<br />

Lo, R. W. A-416<br />

Lobner, A. B-02<br />

Lobo, A. P. T. A-190, A-192<br />

Lochhead, M. B-69<br />

Lock, E. A-227<br />

Lockyer, M. G. B-60<br />

Loehr, B. B-339<br />

Logan, C. B-69<br />

Loitsch, S. M. A-137<br />

Lokinendi, R. V. A-559<br />

Longo, G. A-47<br />

Longo, N. B-292<br />

Lonial, S. A-484<br />

Lopatka, M. A-486<br />

Lopes, A. B-143<br />

Lopes, A. T. Q. A-525<br />

Lopez, M. A-178<br />

Lopez, M. F. A-183<br />

López Fernandez, T. B-195<br />

Lopez Garrigos, M. A-289,<br />

B-12, B-29<br />

Lopez-Ferrer, D. A-165<br />

López-Pelayo, I. A-376<br />

López-Penabad, L. A-289<br />

Lopez-Romero, J. L. A-521<br />

López-Sendon, J. B-195<br />

Lorey, F. A-100<br />

Lorey, T. S. A-291<br />

Lott, R. B-216<br />

Lotz, J. B-216<br />

Lou, A. A-177<br />

Lowbeer, C. A-359<br />

Lowry, P.<br />

A-441, B-159,<br />

B-160, B-191<br />

Lu, J. A-21, A-283, B-247<br />

Lu, J.-J. A-222<br />

Lu, V. B-293<br />

Lu, X.<br />

A-13, A-106,<br />

A-495, B-100<br />

Lucas, F. A-534, A-546<br />

Lucini, R. A-47<br />

Lucio, J. A-90<br />

Ludovico, G. A-91<br />

Lueke, A. J. B-222, B-331<br />

Lugo, J. A-289, B-12, B-29<br />

Lukacin, R. A-476<br />

Lukas, P.<br />

A-280, A-304,<br />

A-318, A-347<br />

Lumanga, S. V. A-416<br />

Lumen, N. A-14<br />

Lundell, G. D. A-446<br />

Lundquist, S. B-266<br />

Lunts, P. B-47<br />

Luo, L. A-176, A-241,<br />

A-265, B-135<br />

Luo, W. A-311, B-323<br />

Luo, Z. A-259<br />

Luzzi, V. A-229<br />

Luzzi, V. I. A-320, A-445, B-30<br />

Lv, R. B-100<br />

Lv, W. A-28<br />

Lykissa, E. D. A-450<br />

Lynch, B. A-16<br />

Lynch, K. L. A-461<br />

Lynch, M. P. A-41<br />

Lyon, M. E. B-272<br />

M<br />

Ma, J. A-30<br />

Macedo, P. A-553, B-141<br />

Macher, H. C. A-94, B-307<br />

Machida, T. B-340<br />

Maciel, J. A. D. A-91<br />

Macit, E. B-07<br />

Macwhannell, A. A-19<br />

Madanahally Divakar, K. A-69,<br />

A-70<br />

Maekawa, M. B-254, B-258<br />

Magari, R. A-492<br />

Magera, M. J. A-482<br />

Mahler, M. A-247<br />

Maine, G. A-294<br />

Mainenti, L. A-536<br />

Majhi, S. A-337<br />

Majkic-Singh, N. A-331<br />

Makris, K.<br />

A-365,<br />

B-152, B-301<br />

Malaman, S. A. B-41<br />

Malla, B. B-237<br />

Mallory, B. B-235<br />

Malta, F. S. B-140<br />

Malta, F. S. V. A-62<br />

Maluf, N. Z.<br />

A-87,<br />

A-197, A-269<br />

Mancini, J. A. A-38<br />

Maneemaroj, R. B-81<br />

Mangueira, C. L. P. A-126<br />

Manicke, N. E. A-189<br />

Mansouri, S. B-68, B-280<br />

Mansur, D. R. B. A-87<br />

Mantovani, M. F. A-256, A-356,<br />

B-133, B-145<br />

Mao, G. A-556<br />

Marani, R. A-212<br />

Marani, R. J.<br />

A-196,<br />

A-211, B-38<br />

Marassi, A. E. A-363<br />

Marcori, M. A-536<br />

Maries, O. R. A-224, A-245<br />

Markley, D. A-288<br />

Marotti, J. D. A-131<br />

Martín-Algarra, S. A-66<br />

Martinette, R. B-275<br />

Martínez-Broca, M. A. B-307<br />

Martinez-Couselo, S. B-53<br />

Martínez-Morillo, E.<br />

B-153,<br />

B-329<br />

Martins, G. R. A-144<br />

Martins, T. A-255, A-260<br />

Martins, V. B-112<br />

Martis, P. A-240, B-287<br />

Marton, M. J. B-259<br />

Marzinke, M. A. A-111<br />

Mason, D. A-471<br />

281


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Masroor, M. A-71, A-508<br />

Massambu, C. B-20<br />

Massé, J. A-138, A-297<br />

Matějka, V. M. A-543<br />

Mateta, P. B-20<br />

Mathieu, R. A-215, B-325<br />

Matlin, H. L. A-308<br />

Matsui, S. B-184, B-206<br />

Matsuo, S. B-257<br />

Matsushita, K. A-09, A-34, A-46<br />

Matte, S. B-121<br />

Matters, D. J.<br />

A-20, A-250,<br />

A-253, A-273<br />

Matteucci, E. B-59<br />

Matthias, T. A-255, A-260<br />

Matyus, S. B-255<br />

Matzas, M. A-15, B-261<br />

Maymó, J. B-296<br />

Mbeunkui, F. A-425, B-244<br />

McCann, K.<br />

A-199,<br />

A-200, A-216<br />

McClintock, M. K. A-160<br />

McClintock, P. A-441, B-191<br />

McCloskey, L. J. A-302, A-303,<br />

A-308, A-439,<br />

A-464, A-522, B-10<br />

McClure, E. A-193<br />

McClure, K. B-20<br />

McConnell, R. I. A-441,<br />

B-151, B-152, B-158,<br />

B-159, B-160, B-191<br />

McCormick, B. M. A-38<br />

McCudden, C. R. A-549, B-252<br />

McDonald, J. S. A-377<br />

McDonald, R. J. A-377<br />

McEntree, D. G. A-273<br />

McGarrigle, M. B-325<br />

McGivern, P. B-212, B-231<br />

McIntyre, D. A-216<br />

McKeever, C. B-152<br />

McMillin, G. A. A-431<br />

McPhaul, M. J. B-34<br />

Meade, T. J. A-05<br />

Medrano-Campillo, P. A-94<br />

Meeusen, J. W.<br />

A-221,<br />

B-277, B-300<br />

Mehndiratta, M. A-371<br />

Meier, D. T. A-298, B-251<br />

Meikle, A. W. A-292<br />

Melanson, S. E. A-364<br />

Melguizo-Madrid, E. A-247<br />

Melito, S. A-437<br />

Mellado, P. A-521<br />

Mello-Fujita, L. B-180<br />

Melo, P. B-48<br />

Melzi d’Eril, G. A-154, A-473<br />

Ménard, C.<br />

B-116,<br />

B-138, B-139<br />

Mendez, M. A-373<br />

Mendonça, S. A-68, A-421<br />

Mendonça, S. A. A-148<br />

Menéndez Valladares, P. B-299<br />

Menezes, M. dos S. A-87<br />

Meng, Q. B-285<br />

Menon, U. A-10<br />

Mercier, K. A-411<br />

Merrigan, S. A-139<br />

Merx, S. A-233<br />

Meyer, R. B-219<br />

Meyer zum Büschenfelde, D.<br />

A-394<br />

Mgaya, V. Y. B-20<br />

Miida, T. A-77, A-374<br />

Milhorn, D. M. A-329<br />

Millar, E. B-220, B-235<br />

Miller, G. B-47<br />

Miller, J. A-81, B-166<br />

Miller, J. J. A-529, A-559<br />

Miller, M. B-200<br />

Miller, R. S. A-507<br />

Miller, V. A-447<br />

Millington, D. B-72<br />

Millner, L. A-06<br />

Mimura, T. B-257<br />

Minakawa, Y. B-173<br />

Minami, H. B-102<br />

Minnehan, K. B-219<br />

Miolo, M. A-423<br />

Mion, M. M. A-423, B-213<br />

Mir, A. A-71<br />

Mir, R. A-508<br />

Misch, C. A. B-295<br />

Mitchell, A. A-258<br />

Mitsis, P. A-517, A-519<br />

Miura, K. B-326<br />

Miyake, K. A-374<br />

Miyauchi, K. B-317<br />

Miyazaki, R. B-318<br />

Mizue, H. B-173<br />

Mochizuki, A. A-206<br />

Möckel, M.<br />

A-394, B-136,<br />

B-228, B-238<br />

Moellers, C. B-341<br />

M<strong>of</strong>fat, K. A-487<br />

Moiana, A. B-250<br />

Mojiminiyi, O. A.<br />

A-309,<br />

A-312, A-338<br />

Mokhtar, M. M. A-117<br />

Moley, K. H. B-50<br />

Molina, M. A-87<br />

Molina, M. A-552<br />

Molinaro, R. A-387, A-559<br />

Molinaro, R. J.<br />

A-302,<br />

A-303, A-364<br />

Molinero, P. A-94<br />

Monaghan, P. J. A-454<br />

Mondéjar-García, R. A-247<br />

Monica, F. A-553<br />

Montagnana, M. A-554<br />

Monteiro, J.<br />

A-190,<br />

A-192, B-124<br />

Montenegro, R. M. A-296<br />

Montenegro Jr, R. M.<br />

A-296,<br />

B-125<br />

Moon, B. A-449<br />

Moon, D.-S. A-103<br />

Moore, D. A-540<br />

Moore, F. B-02<br />

Moore, S. B-288<br />

Moore, W. A-99<br />

Mora, C. A-373<br />

Moran, T. B-67<br />

Morasse, S. B-138<br />

Moreau, E. A-153<br />

Moreno, P. A-399<br />

Moreno Garcia, M. I. A-74<br />

Mörer, O. A-93<br />

Morgan, D. A-547<br />

Mori, M. A-305, B-102<br />

Morrow, D. A. B-175, B-178<br />

Morse, R. B-297<br />

Moshin, J. A-205<br />

Mota, G. S. A-145<br />

Moura, B. Silva. A-72<br />

Moura, B. S. A-334<br />

Moutinho, L. A-72, A-334<br />

Mp, G. B-198<br />

Mu, X. B-42<br />

Muhariamova, K. B-234<br />

Müller, C. A-394, B-136<br />

Müller, J. B-339<br />

Muller, K. G. A-512<br />

Muller, R. B-174<br />

Muñiz, N. B-343<br />

Murakami, M. B-340<br />

Murakami, M. M. B-207, B-208<br />

Murillo-Cabezas, F. B-161<br />

Muros, M. A-373<br />

Murphy, F.<br />

A-250, A-251,<br />

A-252, A-274,<br />

A-276, A-278<br />

Murphy, L. B-341<br />

Murphy, S. A. B-175, B-178<br />

Murray, D. A-221<br />

Murray, D. L. A-163<br />

Murray, R. B-276<br />

Muser, J. B-53<br />

Musngi, S. A-323, B-214<br />

Musselman, B. A-462<br />

Mustafa, G. M. A-27<br />

Muto, N. H. A-126<br />

Mwasekaga, M. B-20<br />

N<br />

Na, M. A-506<br />

Naegelen, J. A-493<br />

Nagtalon, D. A-216<br />

Nair, H. B-330<br />

Nakajima, K. B-340<br />

Nakama, E. B-104<br />

Nakatsu, K. A-146<br />

Nam, H. B-44<br />

Napoleone, M. B-220<br />

Napolitano, C. A-480<br />

Naruse, H. B-184, B-206<br />

Narváez-García, C. A-344<br />

Naschberger, H. A-266<br />

Nassar, B. A-177<br />

Nauck, M. A-561<br />

Nault, D. K. A-38<br />

Naumann, E. B-339<br />

Navarro, J. A-373<br />

Navarro-González, E. B-307<br />

Naves, L. A. A-144, A-145<br />

Nedelkov, D. A-178<br />

Nelson, S. E. B-208<br />

Nelson, W. D. B-265, B-266<br />

Nene, S. A-216<br />

Neo, E. A-216<br />

Nepal, A. A-337<br />

Nery, L. F. A.<br />

A-144,<br />

A-145, A-525<br />

Neto, E. L. A-422<br />

Neto, G. C. A-328<br />

Neves, F. M. D. B-96<br />

Neves, S. P. F. A-239<br />

Ng, V. L. B-108<br />

Nguyen, B. A-165<br />

Nguyen, R.-A. B-321<br />

Nguyen, T. A-455, B-291<br />

Nice, A. B-262<br />

Nicoll, G. B-47<br />

Nie, W. A-112<br />

Niederk<strong>of</strong>ler, E. E. A-178<br />

Niewiadonski, V. A-67, B-141<br />

Niimi, H. B-102<br />

Ning, H.-C. A-222, B-21<br />

Niravel, B. A-294<br />

Nishimura, J. A-237<br />

Nishimura, P. A-67<br />

Niu, H. A-516<br />

Niu, Q. A-477, A-496, A-515<br />

Nnachi, N. A-500<br />

Nnatuanya, I. N. A-301<br />

Noel, S. A-533<br />

Noguez, J. A-387<br />

Noguez, J. H. A-364<br />

Noji, K. B-258<br />

Nolling, J. A-53, A-70<br />

Nolte, F. S. B-275<br />

Nomura, F. A-09, A-34, A-46<br />

Nooka, A. A-484<br />

Noormahomed, E. B-69<br />

Nordstrom, C. B-312<br />

Norman, G. L. A-240<br />

Novak, G. B-310<br />

Noval-Padillo, J. A.<br />

A-521,<br />

B-57<br />

Novicki, T. A-234<br />

Nuñez, E. B-343<br />

O<br />

Oakervee, H. A-22<br />

O’Connell, T. A-411, B-245<br />

O’Donnell, D. B-288<br />

Oellerich, M. A-93<br />

Oeth, P. B-293<br />

Oh, S. A-449<br />

Ohkawa, F. B-318<br />

Ohman, T. A-431<br />

Ohman, T. L. A-201<br />

Ohsaka, A. A-77, A-374, B-246<br />

Ohto, H. B-104<br />

Okamura, T. B-326<br />

Okonski, J. B-37<br />

Okorodudu, A. O. B-35<br />

Okuhara, Y. A-58<br />

Okunieff, P. A-28, A-97<br />

Oliveira, A. A-269<br />

Oliveira, E. A-422<br />

Oliveira, E. M. A-87<br />

Oliveira, E. T. B-126<br />

Oliveira, F.<br />

A-553,<br />

B-141, B-144<br />

Oliveira, J. R. S. A-525<br />

Oliveira, V. C. A-62, B-140<br />

Oliveira, V. M. A-126<br />

Oliver, M. B-63<br />

Oliver, P. B-260<br />

Oliveras, L. B-67<br />

Olson, D. A-518<br />

Olyarnyk, B. A-82<br />

O’Malley, R. G. B-175<br />

Omar, A. B-90<br />

Omi, K. A-340<br />

ONeil, P. A-492, A-493<br />

Ong, L. A-295, B-85<br />

Onisk, D. V. B-243<br />

Opperman, G. B-265, B-266<br />

Ordonez-Llanos, J. B-53<br />

Oremek, G. A-137<br />

Oremus, M. B-179<br />

Orkmez, M. A-360<br />

Orluwene, C. G. A-301<br />

Oroskar, A. B-79<br />

Osegbe, I. D. A-300<br />

Osorio, P. S. B-145<br />

Osterfeld, S. B-264<br />

Otvos, J. A-411, B-245, B-255<br />

Ouverson, L. A-335<br />

Ouverson, L. J. B-251, B-300<br />

Overcash, D. A-90<br />

Ozaki, Y. B-184, B-206<br />

Ozbal, C. A-447<br />

282


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Ozcan, A. B-07<br />

Ozdem, S. A-362<br />

Ozgeris, F. B. A-64<br />

Ozguner, M. B-302<br />

Ozkan, E. B-07<br />

Ozkanlar, S. A-64<br />

Oztosun, M. B-07<br />

Ozturk, G. A-76, A-290, A-317,<br />

A-326, A-353, A-372, B-302<br />

P<br />

Pachmann, K. A-15, B-261<br />

Padmore, R. A-487<br />

Pai, M. A-481<br />

Palacios Ramirez, A. A-560<br />

Palamalai, V. B-273<br />

Palmer, I. A-532<br />

Pamidi, P. V. A. B-279<br />

Pamula, V. B-72<br />

Pan, S. A-30, A-31, A-238<br />

Pandian, J. A-342<br />

Pandian, R.<br />

A-284,<br />

A-285, A-342<br />

Panisa, D. A-68, A-421<br />

Panoulis, C. B-305<br />

Pant, S. A-99<br />

Pante, E. A. B-133<br />

Paradowski, M. B-288<br />

Parente, F. A-541<br />

Parikh, J. A-539<br />

Parikh, N. A-447<br />

Park, B.-H. A-230, A-242, B-95<br />

Park, D. B-84<br />

Park, G. A-103<br />

Park, H. A-107, B-101<br />

Park, H.-I. B-70<br />

Park, K. B-44<br />

Park, M. A-379<br />

Park, P. A-379<br />

Park, S. A-108<br />

Park, S.-G. A-109<br />

Park, S.-R. A-155<br />

Park, T. A-510<br />

Park, Y.-S. A-140<br />

Partha, R. B-174<br />

Parvin, C. A. A-559, B-19<br />

Parvizi, J. B-170<br />

Pasic, M. D. B-284<br />

Paskaleva, I. A-499<br />

Pasquali, M. B-292<br />

Passig, S. A-85<br />

Pasternak, J. A-427<br />

Patel, A. A-147, B-40<br />

Patel, A. S. A-349, A-350, B-09<br />

Patel, H. A-485<br />

Patel, H. R. A-485<br />

Patel, J. B-26<br />

Patel, P. B-219<br />

Patel, P. S. A-274<br />

Patel, R. A-386<br />

Patel, S. B-84<br />

Patibandla, S. B-120<br />

Patterson, B. A-281, A-324<br />

Paul, W. B-88<br />

Pauly, D. B-265, B-266<br />

Pauly, K. B-265, B-266<br />

Payette, P. A-82<br />

Payne, D. A. A-38<br />

Payto, D. A.<br />

A-156,<br />

A-159, B-304<br />

Peake, R. W. A. A-164<br />

Pearce, L. A. B-207, B-208<br />

Pearlman, E. S. A-539,<br />

A-540, B-336<br />

Pearson, L. B-26<br />

Peck Palmer, O. A-52<br />

Pedada, K. K. B-163<br />

Pedrosa, W. A-239, B-97<br />

Peela, J. R. A-472<br />

Peeters, S. A-280<br />

Pelliccione, F. A-154<br />

Pellicier, J. B-233<br />

Peng, X. A-259<br />

Penman, J. B-278<br />

Penyige, A. A-225<br />

Pepkowitz, S. A-170, A-305<br />

Pepkowitz, S. H. A-329<br />

Pereira, C. A-86, A-91,<br />

A-505, B-310<br />

Pereira, C. F. A. A-196, A-211,<br />

A-212, A-214, A-220,<br />

A-256, A-552, B-37,<br />

B-38, B-48, B-133<br />

Pereira, C. F. De A. A-87, A-197<br />

Pereira, F. E. A-91<br />

Pereira, G. H. A-404<br />

Pereira, I. B-97<br />

Pereira, J. A-404<br />

Pereira, L. G. B-37<br />

Pereira, R. G. B-112<br />

Pérez, M. A. H. A-267<br />

Perez, R. A-404<br />

Perez, R. M. A-422<br />

Perez González, E. B-299<br />

Perez Ramos, S. A-74, A-124<br />

Pérez-Moya, G.<br />

A-514,<br />

B-43, B-313<br />

Pérez-Pérez, A. B-296<br />

Perkins, S. B-252<br />

Perkins, S. L. A-549, B-67<br />

Perna Rodríguez, M.<br />

A-36,<br />

A-60, A-63<br />

Perna Rodriguez, V. B-299<br />

Perregaux, D. B-248<br />

Perry, P. B-45<br />

Peshkova, M. B-78<br />

Pestel, C. A-288<br />

Peterman, S. A-178<br />

Petersen, A. B-02<br />

Petersen, J. A-12<br />

Petersen, J. R. A-27, B-35<br />

Petersmann, A. A-561<br />

Petrica, L. A-96<br />

Petrie, M. S. A-291<br />

Petroianu, A. A-524<br />

Petruso, M.<br />

A-399,<br />

B-194, B-288<br />

Petruso, M. T. B-182<br />

Pettersson, T. M. A-359<br />

Petty, N. A-258<br />

Petzold, A. A-255, A-260<br />

Pfeiffer, S. A-255<br />

Phanthalansy, C. B-04<br />

Phillips, D. A. A-178<br />

Phinney, K. W. B-269<br />

Phua, S.-K. B-211<br />

Picard, P. A-161, A-191, A-193<br />

Picarsic, J. A-52<br />

Picheth, G.<br />

A-520,<br />

A-536, A-554<br />

Pickersgill, R. B-220<br />

Picton, S. B-109<br />

Pierre, D. M. B-320<br />

Pignatari, A. C. C. B-39, B-143,<br />

B-124, B-142<br />

Pike, E. A-141, A-143<br />

Pike, J. B-58<br />

Pillow, D. B-87<br />

Pilotto, A. A-423<br />

Pinard-Lachapelle, J. B-116,<br />

B-138, B-139<br />

Pineda-Escribano, M. D. A-344<br />

Pineda-Navarro, B. A-313,<br />

A-514, B-57, B-313<br />

Pingle, P. B-92<br />

Pinho, J. R. R. A-126<br />

Pink, B. B-219<br />

Piscopo, A. A-319<br />

Pitangueira Mangueira, C. L.<br />

A-269<br />

Pitcher, T. J. A-436, A-529<br />

Pitta, M. B-248<br />

Pitts, K. B-54<br />

Plant, T. A-51, A-270<br />

Plebani, M. A-423, B-213<br />

Plonné, D. B-339<br />

Plummer, D. B-89<br />

Poggio, E. A-174<br />

Pomares, F. A-289<br />

Pond, G. A-48<br />

Ponte, C. M. M.<br />

A-296,<br />

B-125, B-126<br />

Ponte, G. A. B-125<br />

Ponte, L. M. O. B-126<br />

Ponte, P. M. B-125<br />

Popat, R. A-22<br />

Popescu, R. A-96<br />

Popoola, B. B. A-339<br />

Porras, M. A-521<br />

Porter, R. A. B-88<br />

Ports, B. A-517, A-519<br />

Postnikov, A. B. B-192<br />

Potter, J. M. B-190<br />

Pouleur, A.-C. B-177<br />

Poyares, D. B-56, B-180<br />

Prajogi, A. A-04<br />

Prakash, A. A-178<br />

Preece, J. B-160<br />

Preissner, C. M. A-43<br />

Prestigiacomo, T. A-223<br />

Previtali, G. B-287<br />

Price, J. A. B-139<br />

Price, M. J. B-80<br />

Prieto, F. B. A-148<br />

Prieto García, B. B-153<br />

Probst, O. B-339<br />

Pruthi, R. K. A-507<br />

Ptolemy, A. S. A-548<br />

Pudek, M. A-442<br />

Pulsipher, B. S. B-247<br />

Putnam, M. B-248<br />

Pyle, A. L. A-460<br />

Q<br />

Qi, Z. B-166<br />

Qian, C. B-166<br />

Qian, Q. B-277<br />

Qian, W. A-17<br />

Qiang, M. A-392<br />

Qiao, H. A-210<br />

Qin, X. A-529, B-166<br />

Qiu, L. B-166<br />

Qiu, Y. A-531<br />

Quadros, C. B-97<br />

R<br />

Raby, A. A-487<br />

Racek, J. A-543<br />

Radkey, R. B-54<br />

Rafique, S. B-123<br />

Rahman, A. A-231<br />

Rahmani, Y. E. A-351<br />

Raisch, K. A-28<br />

Raizman, J. E. A-345, B-64<br />

Rajdl, D. A-543<br />

Ramaiah, S. B-01<br />

Rambally, B. S. B-308<br />

Ramirez, C. A-493<br />

Ramirez, E. B-195<br />

Ramos-Chavez, A. B-84<br />

Ramsey, C. A-476<br />

Randell, E. B-285<br />

Rankin, J. D. B-262<br />

Rao, L. V. A-397, A-398, A-535<br />

Rapp, M. A-548<br />

Rasuck, C. G. A-62, B-140<br />

Ratcliffe, P. B-159, B-191<br />

Ratia, S. Z. B-05<br />

Rauch, D. A-04<br />

Ravago, E. B-276<br />

Rawlins, M. L. A-292, A-316<br />

Ray, J. A. A-292, A-316<br />

Ray, P.<br />

A-71, A-508,<br />

B-198<br />

Ray, U. B-105<br />

Raymond, K. M. A-482<br />

Raymond, N. B-68, B-280<br />

Reagan, W. J. B-03<br />

Reamer, C. R. A-291<br />

Rebuck, H. B-196<br />

Redel, S. B-17<br />

Reed, K. A-90<br />

Reedy, J. A-146<br />

Refaaay, W. A. B-345<br />

Regmi, P. B-237<br />

Rehan, M. A-481<br />

Reichetzeder, C. B-306<br />

Reis, G. O. A-211<br />

Remaley, A. T. A-75<br />

Renley, B. B-288<br />

Resende, V. A-524<br />

Reuter, K. A-137<br />

Revuelto-Rey, J. B-161<br />

Rezende, M. P. A-505<br />

Rezvanpour, A. B-235<br />

Rhea, J. M. A-559<br />

Ribera, A. A-279<br />

Ricchiuti, V. A-534, A-546<br />

Rice, T. B-89<br />

Rice, T. W. A-400<br />

Richardson, C. B-151, B-152<br />

Riedel, E. A-11<br />

Riley, C. A-215<br />

Riley, J.<br />

A-53, A-69,<br />

A-70, A-493<br />

Rimkus, M. B-17<br />

Ritchie, J. C. A-476<br />

Rivera, M. B-343<br />

Riviere, M. B-293<br />

Rizos, D. B-301, B-305<br />

Rizou, M. B-301, B-305<br />

Rizzi, C. F. B-180<br />

Roberts, W. L. A-316<br />

Robeson, B. B-02<br />

Robinson, J. K. A-248<br />

Rocha, A. L. B-96<br />

Rocha, I. V. B-125<br />

Rocha, J. L.<br />

A-358, B-146,<br />

B-147<br />

Rockwood, A. L. A-201, A-292<br />

Rodrigues, C. B-41, B-142<br />

Rodrigues, J. N. M. A-126<br />

283


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Rodrigues, R. R. A-328, A-363<br />

Rodríguez, C. A-66<br />

Rodriguez, M. L. A-532, B-109<br />

Rodriguez, M. T. A-416<br />

Rodriguez Capote, K. A-245<br />

Rodriguez Fraga, O. B-195<br />

Rodriguez-Capote, K.<br />

A-224,<br />

B-332<br />

Rodriguez-Fernandez, M. D.<br />

A-514<br />

Rodriguez-Mañas, L. A-94<br />

Rodríguez-Rodríguez, A. B-161<br />

Roen, D. B-94<br />

Roger-Dalbert, C. A-125, B-116,<br />

B-121, B-138, B-139<br />

Rogers, J. B-193<br />

Rogers, J. L.<br />

B-182, B-183,<br />

B-194<br />

Rohlfing, C. A-537<br />

Roizen, J. D. B-294<br />

Rolin, H. A-174<br />

Rolston, R. A-486<br />

Romanatto, T. A-427<br />

Romani, A. P. A-310<br />

Romano, S. J. C. A-520<br />

Romaschin, A. A-110<br />

Romeiro, J. R. A-524<br />

Romero Losquiño, I. A-247<br />

Romero-Aleta, J. A-313,<br />

A-514, B-43, B-57<br />

Romm, M. A-447<br />

Ropero-Gradilla, P. A-344<br />

Roquero, L. B-30<br />

Rosales, M. B-193<br />

Rosales, M. A. B-194<br />

Rosecrans, R. A-151, B-227<br />

Roseiro, F. C. S. A-86<br />

Rosenthal, A. A-258<br />

Rosiere, T. A-288<br />

Ross, L. B-05<br />

Rosseto, E. A. A-269<br />

Rossi, L. B-59<br />

Rottey, S. A-14<br />

Rousseau, M. B-177<br />

Rowe, C. N. A-250<br />

Roy, D. B-121<br />

Roy, S. A-125, A-165<br />

Roy Hughes, A. B-26<br />

Rozov, F. N. B-06<br />

Rubetti Junior, N. L. A-328<br />

Rubio, A. A-94<br />

Rubio-Calvo, A. B-307<br />

Rueda, B. R. A-41<br />

Ruivo, R. B. B-143<br />

Ruiz, P. A-435<br />

Ruíz de Azúa-López, Z. B-161<br />

Rule, A. D. B-322<br />

Rule, G. S. A-201<br />

Rumery, D. A-555<br />

Rutledge, A. A-48, A-475<br />

Ryan, A. A-10<br />

Ryan, W. L. B-51<br />

Ryang, D.-W.<br />

A-230, A-242,<br />

A-530, B-95<br />

Rymer, J. A. A-438<br />

Ryoo, N. A-108<br />

Ryoo, N.-H. A-109<br />

S<br />

Sabatine, M. S. B-175<br />

Sabino, P. A-296<br />

Sabio, E. B-61<br />

Sadilkova, K. A-448<br />

Sadjadi, S. A-141<br />

Sadri, M. A-285<br />

Saechao, F. B-108<br />

Saenger, A. K.<br />

B-222, B-316,<br />

B-322, B-331<br />

Sáez Benito-Godino, A. A-376<br />

Safar, F. H. A-312<br />

Saguinsin, R. A-459<br />

Saito, K. A-58<br />

Saito, M. B-184, B-206<br />

Saito, S. B-102<br />

Sakairi, Y. A-34, A-46<br />

Sakaki, T. A-58<br />

Sakamoto, F. T. C. B-37<br />

Sakamoto, H. A-41<br />

Sakane, N. B-327<br />

Sakhare, A. A-547<br />

Sakurabayashi, I. B-328<br />

Sakurai, T. A-186, B-318<br />

Sakyu, T. A-340<br />

Salamone, S. B-240, B-241<br />

Salamone, S. J. A-446<br />

Salas, G. B-40<br />

Salinas, M. A-289, B-12, B-29<br />

Salmazi, K. I. L. C. A-269<br />

Salmon, B. P. A-147, A-452<br />

Salvagno, G.<br />

A-520,<br />

A-536, A-554<br />

Samatar, A. B-259<br />

Sampaio, F. B. B-126<br />

Samper-Toscano, M. A-376<br />

Sampson, M. L. A-75<br />

Samuel, J. B-150<br />

Sanches, L. R. A-427<br />

Sanchez, B. B-193<br />

Sanchez, E. A-04<br />

Sanchez, F. A-521<br />

Sanchez Jacinto, B. J. A-560<br />

Sanchez-Margalet, V. B-296<br />

Sandanayake, N. A-10<br />

Sanders, C. A-378<br />

Sandoval, Y. B-208<br />

Sandrini, F. A-327, A-355,<br />

A-356, A-363, B-145<br />

Sandrini, F. D. A-327, A-552<br />

Sanmamed, M. F. A-66<br />

Sansão, R. C. A. A-328<br />

Santa Rita, T.<br />

A-101, A-122,<br />

A-123, B-111<br />

Santana, M. A. A-212<br />

Santo-Quiles, A. B-12, B-29<br />

Santora, D. A-240<br />

Santos, A. M. R. A-197<br />

Santos, D. L. O. A-196<br />

Santos, S. M. E. A-239<br />

Santotoribio, J. D. A-74, A-124<br />

Sargent, D. A-486<br />

Sartippour, M. R. A-100<br />

Sato, K. A-34, A-46<br />

Sato, Y. B-167, B-173<br />

Savaş, E. B-344<br />

Savage, S. A-441, B-159, B-191<br />

Savignano, C. B-66<br />

Saw, S. A-295, B-85<br />

Sawamura, T. B-326<br />

Saxena, A. A-71, A-508<br />

Scarpelli, L. A-129, B-127<br />

Schaeffer, A. B-263<br />

Schanbl, K. A-245<br />

Scharf Pinto, M. A-358<br />

Scheele, K. B-26<br />

Scheibe, B. B-02<br />

Schiavo, W. A-197<br />

Schiller, K. B-170<br />

Schilling, J. J. B-242<br />

Schimitt, V. B-118<br />

Schimkat, D. A-233<br />

Schlicht, K. A-447<br />

Schmid, M. B-339<br />

Schmidt, C. A. B-275<br />

Schmitz, J. A-93<br />

Schmotzer, C. A-364<br />

Schnabl, K. L. A-224<br />

Schneider, R. J. A-257<br />

Schønemann-Lund, M. B-186<br />

Schooley, R. B-69<br />

Schoos, M. M. B-186<br />

Schrank, Y. A-330<br />

Schranz, D. B. A-542<br />

Schroeder, J. F. B-05<br />

Schroeder, L. F. A-367<br />

Schroeder, T. A-178<br />

Schulman, H. A-165<br />

Schulz, K. M. B-208<br />

Schütz, E. A-93<br />

Schwab, M. A-69<br />

Schwab, M. C. A-118<br />

Schwanzar, D. B-71<br />

Schwartz, J. A-397, A-398<br />

Schwartz, S. A-234<br />

Schwebel, P. A-399<br />

Scialabba, V. A-69<br />

Scirica, B. M. B-175<br />

Scotland, S. B-47<br />

Scott-Harrell, P. A-476<br />

Searle, J.<br />

A-394, B-136,<br />

B-228, B-238<br />

Sears, C. A-535<br />

Seccombe, D. B-285<br />

Seegmiller, J. A-205<br />

Seemann, C. B-339<br />

Seetharam, A. A-19<br />

Seferian, K. R. B-06<br />

Seger, A. B-264<br />

Seguin, C. B-67<br />

Sekikawa, A. B-326<br />

Selby, R. A-487<br />

Senem, E. A-420<br />

Seo, Y. A-379<br />

Serebryanaya, D. V. B-192<br />

Sethi, A. A. A-542<br />

Sethi, S. A-295, B-85<br />

Sexton, R. A-258<br />

Seyrekel, T. A-187<br />

Sezer, S. A-290, A-372<br />

Sha, J. A-37<br />

Shaar, D. T. A-399<br />

Shafi, R. B-55<br />

Shah, D. S. B-237<br />

Shah, N. N. A-484<br />

Shah, S. A-349, A-350, B-09<br />

Shah, V. B-294<br />

Shahid, A. A-29, B-123<br />

Shakila, S. A-472<br />

Shalaurova, I.<br />

A-411,<br />

B-245, B-255<br />

Shang, S. B-110<br />

Shanks, A. A-532<br />

Sharma, H. A-343<br />

Sharretts, S. A-486<br />

Sharrod, H.<br />

A-03, A-19, A-22,<br />

A-44, A-231, A-232<br />

Sharrod-Cole, H. J. A-252<br />

Shashack, M. J. B-35<br />

Shaw, J. B-289<br />

Shaw, J. L. A-549, B-67<br />

Shaw, M. J. A-194<br />

Shea, J. L. B-289<br />

Shekar, S. A-53<br />

Shen, C. H. A-415<br />

Shen, D. B-44<br />

Shen, Y. B-52<br />

Shi, A. A-112<br />

Shi, R. Z. A-189<br />

Shi, Y. A-241, A-263<br />

Shih, H.-Y. A-61<br />

Shih, J. B-215, B-216<br />

Shimizuishi, Y. A-410<br />

Shin, E. B-84<br />

Shin, J. A-230, A-530<br />

Shin, J.-H. A-242, B-95<br />

Shin, M. A-230<br />

Shin, M.-G. A-242, A-530, B-95<br />

Shin, S.-I. B-120<br />

Shirakawa, T. A-340<br />

Shoenfeld, Y. A-260<br />

Showell, P. J. A-20, A-248,<br />

A-249, A-250, A-251, A-252,<br />

A-253, A-272, A-273, A-274,<br />

A-275, A-276, A-277, A-278<br />

Shrestha, R. A-186, B-318<br />

Shu, I. A-162, A-261<br />

Shugarts, S. A-462<br />

Shuin, T. A-58<br />

Shukla, K. A-371<br />

Shukla, R. A-371<br />

Shulta, T. A-257<br />

Sibio, A. A-470<br />

Sibley, P. A-136<br />

Sigdel, M. B-237<br />

Signorelli (Mack), H. A-146<br />

Silva, C. B-48<br />

Silva, C. C. T. A-86<br />

Silva, N. B-41<br />

Silvera, S. K. I. A-249<br />

Simard, S. A-125<br />

Simon, A. B-241<br />

Simon, G. A-234<br />

Simon, J. A-172<br />

Simpson, A. B-190<br />

Simpson, J. A. B-189<br />

Simpson, W. G. A-469<br />

Simsek, G. A-381, A-381<br />

Şimşek, N. A-372<br />

Singh, K. P. A-105<br />

Singh, R. A-335<br />

Singh, R. A-472<br />

Singhal, P. B-174<br />

Sirikci, O. A-187, A-314<br />

Sisco, K. A-26<br />

Siscovick, D. B-330<br />

Sista, R. B-72<br />

Sitnik, R. A-126<br />

Skoropadyk, W. B-210, B-239<br />

Slagman, A.<br />

B-136, B-228,<br />

B-238<br />

Slagman, A. C. A-394<br />

Slhessarenko, N. B-310<br />

Slotta, J. A-93<br />

Smeal, K. A-486<br />

Smillie, M. B-105<br />

Smith, J. L. A-233<br />

Smith, L. J. A-253<br />

Smith, M. P. A-294, A-440<br />

Smith, S. W. B-207, B-208<br />

Smith, T. A-494<br />

Smith, Y. A-90<br />

Smolyanova, T. I. B-192<br />

Snozek, C. B-26<br />

Snyder, L. M. A-535<br />

Snyder, M. A-221<br />

Snyder, M. R. A-163<br />

284


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Soares, H. B-240, B-241<br />

Sobhani, K. B-200<br />

S<strong>of</strong>ronescu, A. G. B-275<br />

Sohn, K.-Y. B-16<br />

Sokoro, A. A-82<br />

Sola, A. B-39<br />

Solanki, M. A-248<br />

Šolcová, M. A-543<br />

Soldin, S. J. A-173, A-307<br />

Song, L. B-83, B-219<br />

Song, X.-B. A-106<br />

Song, X. A-495<br />

Sorenson, L. B-77<br />

Souberbielle, J.-C. A-280<br />

Sousa, C. A-122<br />

Sousa, M. A. B. B-96, B-149<br />

Southan, L. D. A-277<br />

Southcott, E. B-190<br />

Souza, G. F. B-96, B-97, B-149<br />

Souza, P. C. A-214, A-220<br />

Souza, T. B-48<br />

Souza, T. P. A-91<br />

Souza, T. S. P. B-119<br />

Sovath, S. B-293<br />

Sözer, V. A-381<br />

Spanou, L. A-365<br />

Spears, R. A-136<br />

Spielmann, C. A-15, B-261<br />

Spingarn, S. B-52<br />

Spratt, H. A-12<br />

Squires, N. B-75<br />

Srinivasa Gowda, S. A-400<br />

St. John, S. B-193<br />

Stafford, L. J. B-243<br />

Star-Weinstock, M. A-324<br />

Starobin, J. A-323, B-214<br />

Starostina, V. A-287<br />

Staufer, L. E. A-38<br />

Stave, J. W. B-243<br />

Steele, A. N. B-270<br />

Stefan, C. A-475<br />

Stefan-Bodea, C. A-169, A-466<br />

Stefanelli, R. A-473<br />

Steffensen, R. B-186<br />

Steimer, W. A-98<br />

Stein, C. B-339<br />

Stein, J. A-137<br />

Steinle, R. B-304<br />

Steinmetz, H. B. A-131<br />

Steinmetz, J. A-184<br />

Stejskal, J. B-01<br />

Stemp, J. B-65<br />

Stephen, D. W. S. A-469<br />

Steuernagle, J. H. B-277<br />

Stevens, K. A-315<br />

Stewart, P. B-159<br />

Stezar, L. A-320, A-445<br />

Stickle, D. F. A-302, A-303,<br />

A-308, A-439, A-464,<br />

A-522, B-10<br />

Stockburger, M. A-394, B-136<br />

Stöckl, D. A-322<br />

Stojkovic, R. A-331<br />

Stolze, B. A-307<br />

Stone, C. A-16<br />

Stone, J. A. A-291<br />

Stout, A. K. A-38<br />

Straseski, J. B-288<br />

Straseski, J. A.<br />

A-139, A-244,<br />

A-271, A-292,<br />

A-316, B-171<br />

Strathmann, F. G. A-432<br />

Strauss, R. B-308<br />

Stribling, S. L. B-320<br />

Stride, A. A-51, A-270<br />

Struck, J. B-228, B-238<br />

Stuff, M. A-233<br />

Su, B. A-35, B-148<br />

Su, J. A-496, A-515<br />

Su, Z. B-135<br />

Sucu, M. B-344<br />

Suffin, S. A-558<br />

Sugiuchi, H. B-317<br />

Sugiura, T. A-58<br />

Suh, J.-T. A-510<br />

Suh, S.-P. A-530<br />

Suh, S.-P.P. A-230, A-242, B-95<br />

Suh-Lailam, B. B.<br />

A-244,<br />

A-431, B-171<br />

Suleymanlar, G. A-393<br />

Sullivan, S. B-219, B-288<br />

Sumino, H. B-340<br />

Summers, M. B-151<br />

Sun, R. A-238<br />

Sung, D. B-44<br />

Suong, N. T. B. B-129<br />

Suszko, M. I. A-288<br />

Sutton, D. A-19<br />

Suwal, R. A-337<br />

Svancara, D. B-248<br />

Svinarov, D. A-132<br />

Svoboda, M. A-83, B-256<br />

Swelem, M. S. A-117<br />

Swiderski, D. A-320<br />

Swinehart, W. A-502, A-503<br />

Sykes, E. A-294<br />

Synder, N. A-27<br />

Szczesniewski, A.<br />

T<br />

A-167,<br />

A-168, A-198<br />

Tabak, Ö. A-325, A-354<br />

Tabata, H. B-102<br />

Tabe, Y. A-77, A-374, B-246<br />

Tabor, J. A-504<br />

Tachibana, R. B-167<br />

Tachikawa, H. A-204<br />

Tafe, L. J. A-118, A-131<br />

Tagliaferro, D. B-86<br />

Taira, E. A-148<br />

Tajra, K. S. A. A-520<br />

Takahashi, H. A-237<br />

Takahashi, Y. A-186, B-318<br />

Takeda, J. B-184, B-206<br />

Takeda, S. A-186, B-246, B-318<br />

Takemura, F. A-340<br />

Takemura, H. A-77, A-374<br />

Takemura, K. A-410<br />

Takiwaki, M. B-205, B-337<br />

Takushi, A. P. da R. A-197<br />

Tam, E. B-312<br />

Tamama, K. A-438<br />

Tamang, H. K. A-105<br />

Tamm, N. N. B-06, B-192<br />

Tan, S.-P. B-211<br />

Tan, Y. B-217<br />

Tanaka, K. A-491<br />

Tanaka, S. K. A-352<br />

Tang, D. A-496, A-515<br />

Tang, H. A-391<br />

Tang, J. A-263, A-265, A-465<br />

Tang, P. H. B-295<br />

Tang, W. B-276<br />

Tang-Hall, L. B-217<br />

Tani, N. A-491<br />

Taniguchi, N. B-328<br />

Taslıpınar, M. Y. A-76,<br />

A-353, B-07<br />

Tavil, B. B-302<br />

Taylor, A. A-80<br />

Taylor, A. M. A-205<br />

Taylor, S. E. A-299<br />

Tchervenkov, T. A-132<br />

Tchiernianchouk, O. B-200<br />

Tebo, A. E. A-244, B-171<br />

Teggert, A. A-446<br />

Teixeira, C. F. A-196, A-197,<br />

A-211<br />

Tejidor, L. A-492<br />

Templin, L. A-288<br />

ten Berg, J. M. B-76<br />

Teodoro-Morrison, T.<br />

A-341,<br />

B-64<br />

Tepel, M. A-293<br />

Terao, Y. B-246<br />

Terra, C. A-404<br />

Theansun, W. B-81<br />

Thebo, J. A-389<br />

Thériault, S. A-138, A-297<br />

Thevis, M. A-335<br />

Thiel, F. A-233<br />

Thielmann, D. B-112<br />

Thienpont, L. M. A-322<br />

Thode, J. B-186<br />

Thomas, E. A-43<br />

Thomas, J. B-55<br />

Thomas, J. B-60<br />

Thomassian, K.<br />

A-202, A-203,<br />

A-284, A-285<br />

Thompson, K. A. A-386<br />

Thomson, Y. A-454<br />

Thoren, K. L. A-461<br />

Thornton, D. J. A-460<br />

Thys, F. B-203<br />

Tian, X. B-42<br />

Tim, R. C. B-293<br />

Timilsina, U. A-105<br />

Timms, J. A-10<br />

Tirado, L. K. A-268<br />

Todd, J. B-196, B-209, B-218<br />

Toher, J. L. B-333<br />

Tolan, N. V.<br />

A-507, B-49,<br />

B-222, B-277<br />

Tolliver, S. S. A-450<br />

Tomino, Y. A-374<br />

Tomita, M. A-340<br />

Tomoda, F. B-337<br />

Toner, V. B-158<br />

Tonetti, M. B-33<br />

Tongxing, L. A-392<br />

Toni, L. G. B. A-427<br />

Toral Peña, A. A-124<br />

Torbati, S. B-200<br />

Torguson, A. B-266<br />

Torres, V. B-196, B-209, B-218<br />

Tortorelli, S. A-482<br />

Tosiello, L. A-271<br />

Toygar, M. B-07<br />

Toyos-Sáenz de Miera, F. J.<br />

A-247<br />

Tran, D. B-17, B-239<br />

Tran, N. K. B-270<br />

Tranchesi, R. B-39<br />

Travieso, R. T. L. A-267<br />

Traylor, L. A-257, A-258<br />

Treebuphachatsakul, W. B-81<br />

Trefil, L. A-543<br />

Trivedi, R. B-92<br />

Trojano, P. A-553, B-141, B-144<br />

Trujillo-Arribas, E. A-344,<br />

A-348<br />

Truong, L. X. B-129<br />

Truscott, S. M. B-155<br />

Tsafaras, C. B-301<br />

Tsai, Y. M. A-415<br />

Tsilioni, I. A-164<br />

Tsongalis, G. A-69<br />

Tsongalis, G. J. A-118,<br />

A-130, A-131<br />

Tsurue, T. B-102<br />

Tsuzaki, K. B-327<br />

Tu, J. B-248<br />

Tubbs, K. A. A-178<br />

Tucker, W. W. A-436<br />

Tufik, S.<br />

A-190, A-192,<br />

B-56, B-180<br />

Tunc, B. B-302<br />

Tuon, F. F. B-146, B-147<br />

Turgay, F. A-395<br />

Turner, J. A-73<br />

Turner, L. J. B-250<br />

Tüten, A. A-381<br />

Tweedie, A. B-240<br />

Tynan, J. A. B-293<br />

Tyrrell, S. P. B-73<br />

Tzveova, R. A-499<br />

U<br />

Ucar, F. A-76, A-290, A-317,<br />

A-326, A-353, B-07<br />

Uchida, Y. A-340<br />

Uchiyama, S. B-254<br />

Uckan, D. B-302<br />

Uelker, B. A-85<br />

Ueno, T. B-102<br />

Ueshima, H. B-326<br />

Uettwiller-Geiger, D. L. A-403<br />

Uji, Y. B-205, B-337<br />

Ulloor, J. B-34<br />

Umeda, Y. B-104<br />

Unfricht, D. A-517, A-518,<br />

A-519<br />

Urenda, T. A-146<br />

Ushizawa, K. A-237<br />

Usmani, S. Z. A-258<br />

Uzdogan, A. A-286<br />

Uzun, H. A-325, A-354, A-381<br />

V<br />

Vaisman, M. A-333<br />

Valdes, R. A-06<br />

Valdez, J. A-449<br />

Valente, L. G. A. B-126<br />

Valentim, C. D. A-520<br />

Vallicelli, S. A-319<br />

Valmont, I. A-218, B-267<br />

Van Aelst, S. A-322<br />

Van Belle, S. A-14<br />

Van De Walle, T. L. B-113<br />

van Deventer, H. E. A-75<br />

Van Houcke, S. K. A-322<br />

Van Praet, C. A-14<br />

van Rhee, F. A-258<br />

Van Uytfanghe, K. A-322<br />

Vanavanan, S. B-15<br />

Vandenberghe, H. A-110, A-177<br />

Vander Kooi, J. A-257<br />

Vanderschaeghe, D. A-14<br />

Vant-Hull, B. B-73<br />

Vardanyan, S. A-04<br />

Varone, C. B-296<br />

285


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Vasconcellos, L. de S. A-524,<br />

B-117<br />

Vaslin-Reimann, S. B-319<br />

Vasques, J. A-101, A-122<br />

Vaupel, H. A-85<br />

Veerasekaran, A. B-109<br />

Velasco, L. A-101, A-123,<br />

B-111, B-118<br />

Venkataramanan, R. A-438<br />

Venner, A. A. A-550<br />

Venrick, M. G. A-38<br />

Ventura, F. P. B-126<br />

Ventura, L. B-250<br />

Verdes, D. A-96<br />

Vergara-Chozas, J. A-376<br />

Vermassen, T. A-14<br />

Verrant, J. A-518<br />

Vesper, H. A-332<br />

Vesper, H. W.<br />

A-279,<br />

A-351, B-320<br />

Viana, J. S. B-96<br />

Viant, J. A-288<br />

Vicente, A. C. P. B-119<br />

Vicente, E. M. A-408<br />

Vieira, A. B-310<br />

Vieira, L. F. B-117<br />

Vieira, S. D. S. A-87<br />

Vijayalakshmi<br />

Padmanabhan, V. A-131<br />

Vilches-Arenas, Á. B-161<br />

Vintila, I. B-158<br />

Virji, M. A. A-299<br />

Vitoratos, N. B-305<br />

Vitry, L. B-82<br />

Vivas, W. A-123<br />

Vlad, D. A-96<br />

Vollert, J. B-228<br />

Vollert, J. O. A-394, B-136<br />

Vollmer, P. A.<br />

B-262,<br />

B-281, B-282<br />

Voma, C. B. A-310<br />

von Recum, J.<br />

A-394,<br />

B-136, B-238<br />

Vonesh, E. A-05<br />

Voronov, S. A-69<br />

Voskoboev, N. V. B-242<br />

Vytopil, M. A-538<br />

W<br />

Wakefield, M. A-180<br />

Walker, R. B-325<br />

Waller, E. A-484<br />

Wallis, G. A-227<br />

Walsh, W. A-474<br />

Walson, P. D. A-93<br />

Walter, D. A-257<br />

Walz, S. E. A-390<br />

Wan, P. A-223<br />

Wang, A. A-281<br />

Wang, C. S. A-04<br />

Wang, F. A-31, A-238<br />

Wang, H. A-31<br />

Wang, J. A-106, A-112,<br />

Wang, L.<br />

A-495<br />

A-13, A-106,<br />

A-241, A-263, A-265,<br />

A-391, A-465, B-99,<br />

B-100, B-110, B-135<br />

Wang, P. A-162, A-261<br />

Wang, S. A-156, A-157, A-158,<br />

A-159, A-171, A-172, A-174,<br />

A-175, A-179, A-181<br />

Wang, S. A-465, A-467,<br />

A-544, A-545, B-304<br />

Wang, T. B-72<br />

Wang, W. A-13<br />

Wang, Y. A-51, A-270, A-311,<br />

A-332, A-341,<br />

A-345, B-323<br />

Ward, R. P. B-188<br />

Wardlaw, S. A-517<br />

Wardlaw, S. C. B-103<br />

Warner, E. A-110<br />

Warner, M. S. A-84<br />

Washington, K. Q. B-275<br />

Watanabe, M. A-410<br />

Watroba, N. A-16<br />

Wawrzyniak, A. J. B-196<br />

Weaver, A. B-69<br />

Webb, S. B-73<br />

Weiner, R. B-259<br />

Weldon, L. A. A-38<br />

Wells, W. B-87<br />

Wen, L. Li. A-415<br />

Wen, Y. A-238<br />

Wentworth, J. C. A-450<br />

Werneck, J. S. A-190, A-192<br />

Wesenberg, J. C. A-550<br />

West, A. B-312<br />

West, M. B-297<br />

Westphal, S. B-339<br />

Weyand, T. K. A-38<br />

Wheeler, A. B-89<br />

Wheeler, A. P. A-400<br />

Wheeler, S. E. A-52<br />

Whipple, K. B-02<br />

Whittaker, K. B-196<br />

Wiegel, J. V. A-425, B-244<br />

Wiencek, J. A-506, B-154<br />

Wiesner, D.<br />

B-182, B-183,<br />

B-193, B-194<br />

Wigginton, S. M. B-51<br />

Wildeboer, S. E. B-03, B-04<br />

Wiley, C. A-215<br />

Wilkerson, M. A-486<br />

Williams, D. A-207<br />

Williamson, E. E. A-377<br />

Willrich, M. A. V.<br />

A-163,<br />

A-298, B-322<br />

Wilson, A. A-201<br />

Wilson, A. R. A-244<br />

Wilson, C. A-84<br />

Wilson, D. H. B-219<br />

Wilson, G. B-202<br />

Wilson, J. M. A-440<br />

Wilson, K. A-136<br />

Winkelman, J. W. A-501,<br />

A-502, A-503, A-504<br />

Wintgens, K. B-185<br />

Wirtzbiki, G. P. G. B-126<br />

Wirtzbiki, V. P. G. B-126<br />

Witte, M. E. A-435<br />

Wittliff, J. L. A-02<br />

Wo, I. B-101<br />

Wockenfus, A. M. A-507, B-49<br />

Wohleb, R. B-256<br />

Wohleb, R. H. A-83<br />

Wolak-Dinsmore, J.<br />

B-245,<br />

B-255<br />

Wong, B. Y. L. A-110<br />

Won, E. A-530<br />

Won, E.-J. A-242<br />

Wong, E. A-169, A-466, A-475<br />

Wong, M. S. B-90<br />

Wong, S. A-451<br />

Wong, S. H. B-262<br />

Won, Y. A-530<br />

Wongwaisayawan, S. B-15<br />

Woo, H. I. A-366<br />

Woo, H.-Y. A-107<br />

Woodworth, A.<br />

A-400,<br />

A-559, B-89<br />

Workman, R. B-193<br />

Workman, R. F. B-182, B-183<br />

Worobec, S. A-399<br />

Worster, A. A-402, B-179<br />

Wright, C. B-24<br />

Wright, J. A-218, B-267<br />

Wu, A. H. B-209<br />

Wu, A. H. B. A-461<br />

Wu, M.-T. A-61<br />

Wu, N. B-72<br />

Wu, T.-L. A-222<br />

Wyc<strong>of</strong>f, S. A-173<br />

Wyer, L. B-52<br />

Wyness, S. P. A-271<br />

Wynn, A. B-193<br />

X<br />

Xiao, N. A-186, B-318<br />

Xie, E. A-30<br />

Xie, M. A-518<br />

Xie, S. B-166<br />

Xie, X. A-165<br />

Xin, N. A-392<br />

Xiong, Z. A-321<br />

Xu, J. A-30, A-238<br />

Xu, K. B-42<br />

Xu, T. A-31<br />

Y<br />

Yılmaz, N. B-344<br />

Yabe, K. A-58<br />

Yadak, N. A-540<br />

Yadav, P. A-71, A-508<br />

Yago, H. A-237<br />

Yamada, H. A-410, B-246<br />

Yamada, K. B-327<br />

Yamada, S. B-328<br />

Yamada, T. B-328<br />

Yamaguchi, H. B-104<br />

Yamaguchi, I. B-264<br />

Yamakawa, N. A-410<br />

Yamamoto, Y. A-58<br />

Yamamoto, Y. B-257<br />

Yamashita, M. B-205, B-337<br />

Yang, D. A-139<br />

Yang, H. A-510<br />

Yang, J. A-510<br />

Yang, J.-S.S. A-366<br />

Yang, L. A-429<br />

Yang, R. A-31<br />

Yang, S. A-28<br />

Yavuz Taslipinar, M. A-317<br />

Yayla, S. A-420<br />

Yazawa, I. A-204<br />

Ye, S. A-210<br />

Ye, Y.<br />

A-13, A-106,<br />

A-495, A-516<br />

Yee, M. A-271<br />

Yen, J. A-399, B-288<br />

Yen, J. L. B-182, B-183, B-194<br />

Yen-Lieberman, B. B-114<br />

Yeo, K. T. J. A-160<br />

Yeo, K.-T.T. J.<br />

A-183, A-184,<br />

A-434<br />

Yeo, K. T. J. B-188<br />

Yi, C. A-107<br />

Yi, X.<br />

A-160, A-183,<br />

A-434, B-188<br />

Yim, H. B-279<br />

Yim, J.-H. A-155<br />

Yim, Y.-H. A-155<br />

Ying, B. A-13, A-106, A-391,<br />

A-495, B-100<br />

Yip, P. A-345, B-65<br />

Yip, P. M. A-341<br />

Yo, S.-M. B-21<br />

Yong, H. A-392<br />

Yoon, I. A-155<br />

York, L. B-219<br />

Yoshida, T. A-237<br />

Yoshino, I. A-34, A-46<br />

You, E. A-510<br />

You, J. J. B-179<br />

Young, A. A-315<br />

Young, D. A-486<br />

Young, E. A-227<br />

Young, J. A-11<br />

Young, L. B-212<br />

Young, P. A-03, A-44<br />

Younis, A. B-123<br />

Youssef, M. A-447<br />

Yu, C. A-37<br />

Yu, E. A-486<br />

Yu, H. B-264<br />

Yu, S. A-107<br />

Yu, Y. B-69<br />

Yuan, C.<br />

A-157, A-159,<br />

A-171, A-181<br />

Yucel, G. A-362, A-393<br />

Yue, M. A-477<br />

Yundt-Pacheco, J. C. A-559<br />

Yundt-Pacheco, J. C. B-19<br />

Z<br />

Zahniser, D. A-479, A-501,<br />

A-502, A-503, A-504<br />

Zahniser, M. A-501<br />

Zajechowski, J. A-320,<br />

A-445, B-30<br />

Zaki, A. M. A-117<br />

Zaki, A. M. B-345<br />

Zanardi, V. A-319<br />

Zanella, L. B-119<br />

Zang, X. B-79<br />

Zaninotto, M. A-423, B-213<br />

Zeballos Conislla, H. M. A-560<br />

Zeidler, J. A-475<br />

Zeng, T. A-498, A-516<br />

Zhang, A. A-28<br />

Zhang, A. A-28, A-97<br />

Zhang, B. A-30<br />

Zhang, J. A-263<br />

Zhang, J. A-283<br />

Zhang, J. B-99<br />

Zhang, L. A-28<br />

Zhang, L. A-31<br />

Zhang, L. A-97<br />

Zhang, L. A-188<br />

Zhang, L. A-283<br />

Zhang, L. A-453<br />

Zhang, L. B-259<br />

Zhang, M. A-28<br />

Zhang, M. A-238<br />

Zhang, M. A-321<br />

Zhang, M. B-115<br />

Zhang, R. A-80<br />

Zhang, S. B. A-28<br />

Zhang, X. A-259<br />

Zhang, X. A-259<br />

286


AUTHOR INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Zhang, X. B-114<br />

Zhang, X. B-168<br />

Zhang, Y. A-30<br />

Zhang, Z. A-28<br />

Zhao, W. A-238<br />

Zheng, J. A-223<br />

Zheng, Q. A-206<br />

Zheng, Q. A-498, A-516<br />

Zheng, Z. B-42<br />

Zhou, A. A-188, A-453<br />

Zhou, J. A-13, A-106<br />

Zhou, J. A-321<br />

Zhou, J. A-495, B-100<br />

Zhou, L. A-288<br />

Zhou, M. B-05<br />

Zhou, S. A-223<br />

Zhou, X. A-188, A-453<br />

Zhou, Y. A-106<br />

Zhou, Y.<br />

A-106,<br />

A-391, A-495<br />

Zhou, Y. A-495<br />

Zhu, J. A-37<br />

Zhu, Y. B-233, B-275<br />

Zhuang, J. B-168<br />

Zibrat, S. A-459<br />

Ziera, T. B-228, B-238<br />

Zimmer, C. B-239<br />

Zimmerman, M. K. B-63,<br />

B-262, B-281, B-282<br />

Zinaman, M. B-45<br />

Zmuda, K. B-262<br />

Zou, L. A-391<br />

Zou, M. A-265<br />

Zou, Y. A-241, A-465<br />

Zuberi, M. A-71, A-508<br />

Zuo, C. A-477<br />

Zürch, M. A-15, B-261<br />

A287


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

1-hydroxypyrene A-222<br />

1.25 dihydroxy-vitamin D A-318<br />

17-OH progesterone A-85<br />

24-hr Urinary Paraprotein A-484<br />

25-Hydroxy vitamin D A-161<br />

25-hydroxyvitamin D A-132, A-351<br />

25-OH Vitamin D B-263<br />

25-OH VITAMIN D3 A-173<br />

3-epi-25-hydroxyvitamin D A-294<br />

3-methoxytyramine A-200, A-299<br />

5-hiaa A-199<br />

5-Hydroxyindole-3-acetic A-545<br />

5-hydroxyindoleacetic acid A-313<br />

6-methylmercaptopurine A-164<br />

6500QTRAP A-194<br />

99th Percentile B-183<br />

A<br />

A1166C SNP <strong>of</strong> AT1R gene A-117<br />

A1c A-320, A-559<br />

A1c Linearity B-51<br />

Abbott ARCHITECT A-341<br />

Abbott Architect c8000 B-14<br />

Abbott ARCHITECT STAT TnI assay B-235<br />

ABL B-55<br />

absolute quantification A-155<br />

Accuracy B-112, B-242<br />

accuracy assessment B-319<br />

ACE Gene Insertion/Deletion<br />

Polymorphism A-338<br />

aCL A-247<br />

Acromegaly A-145, A-296<br />

active surveillance A-05<br />

Acute Coronary Syndrome B-178, B-84<br />

Acute dyspnea A-394<br />

acute kidney injury<br />

A-365, A-542,<br />

A-543, B-270<br />

acute liver failure A-378<br />

acute lymphoblastic leukemia A-495<br />

Acute Myeloid Leukemia A-129, A-13,<br />

A-29, A-516, A-99<br />

Acute Myocardial Infarction B-230<br />

acute pancreatitis A-424<br />

acute stroke A-365, B-152<br />

addiction and psychiatry A-169, A-466<br />

adiponectin A-326, B-173<br />

Adrenomedullin (ADM) A-394<br />

advanced glycation end products A-325<br />

advanced lipoprotein testing B-319<br />

Advia A-446, B-01<br />

ADVIA 2400 B-325<br />

AFABP, adipocyte fatty acids binding<br />

protein B-345<br />

Africa A-367<br />

aging A-333<br />

agomelatine A-64<br />

AIDS A-270<br />

Albumin A-252, A-88<br />

Albuminuria A-376<br />

Aldosterone A-319<br />

aliquoter A-90<br />

alkaline phosphatase B-155, B-166<br />

All Ambient Assays B-174<br />

all smalll particle B-106<br />

allele-specific sequencing A-103<br />

Allergens A-228<br />

allogeneic immunization A-553<br />

Allopregnanolone A-324<br />

allowable error B-17<br />

Alpha fetoprotien A-33<br />

Alpha-1-Antitrypsin B-156<br />

alpha-2-macroglobulin B-01<br />

Alpha-defensin B-170<br />

Alpha-Fetoprotein B-288<br />

alternative splicing A-09<br />

Alzheimer’s disease A-391, A-395, B-240<br />

Alzheimer’s Disease (AD) B-241<br />

AMH A-285, B-09<br />

Amikacin A-460<br />

amino acid A-204, A-366<br />

Amino-terminal pro-B type natriuretic<br />

peptide (NT- A-379<br />

Ammonia measurement A-541<br />

AmnioStat-FLM PG Test Kit B-304<br />

AmniSure B-61<br />

amplification B-250<br />

Ampliflex Diene reagent A-194<br />

amyloidosis A-181, A-60<br />

ANA A-246, A-266<br />

ANA ELISA sreening A-239<br />

ANA IFA HEp-2 A-233<br />

Anabasine A-431<br />

Anaerobic Microorganisms A-211<br />

analyser A-250<br />

analytic performance goals A-380<br />

analytical evaluation B-258, B-67<br />

analytical measuring range A-240<br />

Analytical method A-280<br />

Analytical performance<br />

A-318, A-559,<br />

B-215, B-216, B-262<br />

Analytical validation A-342, A-347<br />

Analyzer A-517, A-518, A-519<br />

Androstadienone A-160<br />

anemia B-73<br />

Angiographic Clinical Vessel Score B-198<br />

Angiopoietin_2 A-33<br />

Animal B-05<br />

ANP1-28 A-287<br />

anti fungal agents A-427<br />

Anti Xa Activity A-494<br />

Anti-β2-glycoprotein I Domain I A-247<br />

Anti-cancer A-35<br />

anti-DFS70 A-266<br />

anti-dsDNA A-223<br />

Anti-Müllerian Hormone A-285<br />

Anti-Mullerian Hormone A-349<br />

Anti-Müllerian Hormone B-09<br />

Anti-nuclear antibodies A-255, A-260<br />

antibiotic <strong>the</strong>rapy B-10<br />

antibodies A-407<br />

antibody B-06, B-234<br />

Antiepileptic Drug A-156<br />

antiepileptics A-476<br />

antigen antibody combo B-108<br />

Antigen excess A-20, A-22<br />

Antimicrobial resistance B-123, B-96<br />

Antinuclear antibodies A-239<br />

Antiphospholipid Syndrome A-247<br />

Antiphospholipid syndromes A-397<br />

antiplatelet <strong>the</strong>rapy B-43, B-76<br />

Antiretroviral <strong>the</strong>rapy. B-125<br />

antithrombin III A-514<br />

Anyplex II HPV28 Detection A-107<br />

APCI A-184<br />

Apelin–13 A-395<br />

Apolipoprotein E B-329<br />

apoptosis A-30, A-96<br />

APP B-01<br />

Architect A-288, A-334, A-399, B-193<br />

area under <strong>the</strong> concentration-time<br />

curve B-204<br />

area under <strong>the</strong> curve B-270<br />

arginine catabolic mobile element<br />

ARK A-474<br />

ARK Diagnostics A-467<br />

array B-265<br />

arsenic A-432<br />

Arterial Blood Gas B-85<br />

Arterial PO2 B-275<br />

ascorbic acid A-143<br />

aspartate aminotransferase A-546<br />

Aspirin Response B-222<br />

assay A-500, B-217<br />

AT A-500<br />

A<strong>the</strong>rosclerosis A-343, B-326<br />

Attention-deficit/Hyperactivity<br />

Disorder A-360<br />

AU5822 B-262, B-281, B-282<br />

Aute B-157<br />

autoimmune A-223, A-407<br />

autoimmune diseases A-259<br />

Autoimmune rheumatic diseases A-239<br />

Automated A-260, A-534<br />

Automated Sample Preparation A-80<br />

automation A-233, A-479, A-83, A-87,<br />

B-04, B-242, B-256<br />

B<br />

B2M A-250<br />

Bacterial Identification A-196<br />

bacterial resist B-146<br />

Balanced Scorecard B-29<br />

Bath Salts A-203, A-436, A-438, A-470<br />

BCMA A-04<br />

BCR-ABL fusion gene A-495<br />

BD Rapid Serum Tube B-239<br />

BD tube A-530<br />

Beckman Unicel DxI 800 B-239<br />

Benzodiazepines and Buprenorphine A-447<br />

Beta 2 Glycoproteins A-397<br />

Beta 2-microglobulin A-416<br />

beta amyloid B-240<br />

Beta amyloid 42 B-241<br />

Beta-2-microglobulin A-250<br />

beta-hydroxybutyrate B-282<br />

Bile Acids A-170<br />

Bilirubin B-283, B-291<br />

bioavailable testosterone A-328<br />

Bioavailable Vitamin D A-342<br />

Biochip B-160<br />

Biochip array B-152<br />

Bioinformatics B-153<br />

biologic variation B-17<br />

biological variability A-543<br />

biological variation A-290, B-209, B-284<br />

Biomarker A-05, A-12, A-14, A-165,<br />

biomarkers<br />

A-61, A-94, B-170, B-218<br />

A-27, A-400, A-542, B-177,<br />

B-196, B-243, B-89<br />

biorhythm A-355<br />

birthweight B-306<br />

Bivariate reference ranges A-308<br />

Bland Altman A-78<br />

blood A-469, A-517, B-61, B-78<br />

blood gas B-75, B-82, B-86<br />

blood gas analysis B-260<br />

blood gas analyzers B-272<br />

Blood glucose B-52<br />

blood lead analysis B-297<br />

blood mercury A-214<br />

blood viscosity B-337<br />

Blood-to-Ct A-112<br />

bloodstream infections A-192<br />

body fluid A-77, B-251<br />

body fluids B-300<br />

Bone loss A-241<br />

Bone marker A-347<br />

bone specific alkaline phosphatase A-375<br />

Borrelia burgdorferi B-94<br />

BRAF A-62<br />

A288


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

brain injury B-161<br />

Branch DNA technology A-97<br />

Brazil B-145<br />

breast cancer A-02, A-15, A-16, B-261<br />

Bronchoscopic Ultra-Micro Sampling A-34<br />

buprenorphine A-171<br />

Burkholderia pseudomallei B-126<br />

C<br />

C-reactive protein B-157, B-169, B-71<br />

C.difficile A-403<br />

C1 Inactivator A-249<br />

C3-Epi-25-Hydroxy- Vitamin D A-166<br />

C3c A-276<br />

C4 A-274<br />

C6 A-234<br />

CA 125 A-74<br />

Ca 19-9 A-72<br />

CA 19.9 A-74<br />

CA 27.29 A-16<br />

CA19.9 A-10<br />

Cables 1 A-41<br />

Calcium B-278, B-294<br />

calibration A-201, A-351<br />

CALIPER B-285, B-289, B-290<br />

Calprotectin B-113, B-164<br />

calprotectin andghrelin A-424<br />

cancer A-10, A-17, A-53, A-69, A-70, B-288<br />

cancer screening A-09<br />

Canine B-03, B-06<br />

Capillary electrophoresis B-244<br />

capillary whole blood B-71<br />

Carbamazepine A-441<br />

carbapenemases B-96<br />

Carboxyhemoglobin B-279<br />

carcinoid tumor A-313<br />

Cardiac B-193, B-194<br />

cardiac biomarkers B-195<br />

cardiac markers<br />

B-176, B-214,<br />

B-302, B-47, B-84<br />

cardiac operation B-204<br />

cardiac troponin A-402, B-189, B-30<br />

cardiac troponin I B-178, B-207, B-208,<br />

B-213, B-233, B-235, B-56<br />

cardioembolic stroke A-491<br />

Cardiolipins A-397<br />

Cardiopulmonary bypass B-63<br />

cardiorenal syndrome B-234<br />

cardiotoxicity B-195<br />

cardiovascular death risk A-375<br />

cardiovascular disease<br />

A-232, A-300,<br />

B-209<br />

Cardiovascular disease risk B-237<br />

cardiovascular risk B-192<br />

cardiovascular risk factors A-295<br />

cardiovascular surgery A-514<br />

Case-control study A-138<br />

Cataract A-124<br />

Catecholamines A-177<br />

Categories <strong>of</strong> Glucose Intolerance A-309<br />

Cathinones A-425<br />

Cathinons A-470<br />

CBC A-501, A-502, A-503, A-504<br />

CBC imaging A-519<br />

CD4 count B-97<br />

CD4 T cell B-69<br />

Celecoxib A-469<br />

Celiac A-398<br />

celiac disease A-240, B-287<br />

cell classification A-15<br />

Cell free DNA A-93<br />

Cell-free DNA A-101, A-94<br />

Cella Vision DM96 A-77<br />

Centaur A-136, B-120<br />

cerebrospinal fluid A-221, A-267<br />

cervical cancer A-131, A-38<br />

cervical cnacer Pap smear A-97<br />

Chagas disease B-133<br />

Chemically stabilized PCR reagents B-174<br />

chemiluminescence A-284, A-285<br />

Chemiluminescence microparticle<br />

immunoassay A-256<br />

chemiluminescent microparticle<br />

immunoassay (CMIA) B-133<br />

Chemistry A-389<br />

chemo<strong>the</strong>rapy B-195<br />

childhood respiratory diseases B-127<br />

CHILDREN B-143, B-147<br />

chip card B-70<br />

chloride B-277, B-312<br />

Chloride ion B-42<br />

Cholesterol B-05<br />

chromat<strong>of</strong>ocusing B-163<br />

Chromium A-140<br />

Chromogranin A A-68<br />

Chromosomal Microarray A-130<br />

Chronic Heart Failure B-201<br />

Chronic hepatitis B B-135<br />

Chronic Kidney Disease A-172, A-232,<br />

A-373, B-151, B-237<br />

Chronic liver diseases A-422<br />

chronic myeloid leukemia A-495<br />

Chronic Myeloid Leukemia (CML) A-508<br />

Chronic pain A-457<br />

Circulating DNA B-307<br />

circulating tumor cells A-06<br />

cisplatin A-64<br />

CK-MB B-205, B-231<br />

ck-mb activity B-56<br />

CK-MB mass B-205<br />

CKMB B-227<br />

CLART Pneumovir B-127<br />

Classic Galactosemia A-100<br />

CLEIA B-258<br />

CLIA A-319<br />

Clinical Chemistry System B-323<br />

clinical decision A-73<br />

clinical evaluation B-67<br />

Clinical Flow Cytometry A-493<br />

Clinical Laboratory A-560<br />

Clinical Samples B-111<br />

clinichip B-246<br />

clopidogril A-102<br />

closed automated system A-85<br />

Clostridium difficile B-142<br />

CLSI A-319<br />

CO-Oximetry B-279<br />

COAGULACION A-505<br />

coagulation A-512<br />

Coagulation tests A-487<br />

Cobalamin A-139<br />

Cobalt A-140<br />

Cobas b 101 B-53<br />

cobas c501 B-171<br />

codon 61 A-67<br />

coherent diffraction imaging A-15, B-261<br />

Cohort study A-297<br />

Coinhibitory molecules B-135<br />

collagen Type I, alpha 1 chain A-372<br />

colonization B-149<br />

Colorectal Cancers A-118<br />

CombiPT B-90<br />

community B-190<br />

commutability B-319<br />

Comparação de técnicas moleculares A-123<br />

Comparative Study A-72<br />

comparison<br />

A-459, A-530, B-02,<br />

B-203, B-211<br />

Comparison <strong>of</strong> multiple POC devices B-52<br />

Complement B-168<br />

Complete Blood Count A-485<br />

complete mitochondial genome A-13<br />

complicated pregnancies B-305<br />

COMUNICATION B-41<br />

Congenital disorders <strong>of</strong> glycosylation A-207<br />

congestive heart failure B-26<br />

contemporary cardiac troponin I B-220<br />

contrast-induced nephropathy A-377<br />

control B-263<br />

Controls B-214<br />

copeptin B-228<br />

coronary artery disease A-420, B-198,<br />

B-206, B-344<br />

coronary heart disease A-498<br />

coronary intervention B-43<br />

Corticosteroids A-435<br />

Cortisol A-292, A-316<br />

costimulatory molecules B-135<br />

cotinine A-157<br />

Coxiella B-150<br />

CRC A-62<br />

Creatine kinase B-231<br />

creatine kinase mb B-176<br />

creatinine A-377, B-269, B-77<br />

critica; value notification B-21<br />

Critical B-33<br />

critical values A-364<br />

critically ill B-99<br />

Critically-ill A-316<br />

cross-reactivity A-335, A-470<br />

CRP B-105<br />

CRRT B-278<br />

CSF Indices B-162<br />

CTC A-16<br />

cTnI B-191, B-264<br />

Cushing’s syndrome A-187<br />

CUSUM A-75<br />

Cut<strong>of</strong>f B-74<br />

CYP1A2*1D A-98<br />

CYP2C19 A-102<br />

CYP2D6 genotyping A-110<br />

CYP450 A-111<br />

Cystatin B-299<br />

Cystatin C A-416, B-03<br />

cystic fibrosis B-309, B-312, B-42<br />

cystine B-313<br />

cytogenetic A-408, A-419<br />

cytokine A-265<br />

cytokine pr<strong>of</strong>ile A-242<br />

Cytokines B-209<br />

D<br />

D-Dimer A-477, A-491, B-152, B-206<br />

DART A-462<br />

Dead volume A-84<br />

Decentralised screening B-59<br />

Deficiency A-144, A-145<br />

definition <strong>of</strong> myocardial infarction B-228<br />

deiodinase A-307<br />

Delta B-194, B-208<br />

Delta Check A-81<br />

Delta-like-1 A-259<br />

Derivation A-179<br />

Derivatized A-198<br />

Design <strong>of</strong> Experiment A-83, B-138<br />

detection B-265<br />

Deuterium Labeled Internal Standards A-158<br />

development B-263<br />

A289


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Diabetes<br />

A-288, A-310, A-320,<br />

A-323, A-341, A-387,<br />

A-411, B-51<br />

Diabetes and Hypertension A-339<br />

Diabetes Mellitus A-311, A-325<br />

Diabetic nephropathy A-371, A-96<br />

Diabetics A-295<br />

Diagnosis A-421, B-103<br />

diagnostic B-121<br />

Diagnostic Accuracy B-207, B-208<br />

diagnostic error B-11<br />

diagnostic markers A-53<br />

diagnostic performance A-240<br />

Dialysate Fluid B-66<br />

dialysis A-293<br />

diazo B-283<br />

Differential A-493<br />

differentiated thyroid cancer A-73<br />

differentiated thyroid carcinoma A-52<br />

Digital micr<strong>of</strong>luidics B-72<br />

Digoxin A-433, A-540<br />

Dihydrotestosterone A-198<br />

Dihydroxyvitamin D3 A-194<br />

Direct Sampling A-84<br />

Disease activity A-231<br />

Disk diffusion B-112<br />

disposable B-73<br />

Distribuição genotípica A-123<br />

Distribution <strong>of</strong> patient calcium values B-276<br />

DNMT3B A-516<br />

DOAU A-439<br />

dried blood spot A-218, B-156, B-325<br />

dried blood spot (DBS) B-267<br />

Dried Blood Spots<br />

A-100, A-189,<br />

A-215, A-448<br />

Driving Transformation Change B-15<br />

Drug addiction A-165<br />

Drug development B-148<br />

Drug discovery A-35<br />

Drug <strong>of</strong> abuse A-425<br />

drug screen A-440<br />

Drug Screening A-180<br />

Drug-drug interactions A-456<br />

drugs <strong>of</strong> abuse A-466<br />

Drugs <strong>of</strong> abuse screening A-429<br />

duloxetine A-533<br />

DxC B-341<br />

DxH A-492<br />

E<br />

Early-morning urine A-376<br />

EDTA A-101<br />

eGFR B-77<br />

EGFR mutation A-34<br />

elderly A-353, A-94<br />

elderly women A-144<br />

Electrochemical B-88<br />

electrodeposition A-116<br />

electrophoresis B-327<br />

Elevated blood lead (EBL) A-464<br />

ELISA<br />

A-234, A-243, A-539,<br />

B-113, B-171, B-185<br />

ELISPOT B-94<br />

emergency department A-402<br />

empirical treat B-147<br />

End Point B-280<br />

Endocrine B-289, B-290<br />

endoscopic retrograde<br />

cholangiopancreatography A-424<br />

endo<strong>the</strong>lial dysfunction A-154, B-223<br />

endo<strong>the</strong>lial microparticles B-223<br />

Endo<strong>the</strong>lin B-218<br />

endo<strong>the</strong>lin -1 A-388<br />

endotoxin A-388<br />

Enhanced Liver Fibrosis A-404<br />

Enhanced Liver Fibrosis (ELF) A-422<br />

Enterobacteriaceae B-96<br />

En<strong>the</strong>rpex B-141<br />

Environmental effects A-547<br />

Enzymatic assay A-468<br />

enzymatic combination assay B-317<br />

enzymatic ethylene glycol assay A-437<br />

enzyme immunoassays (ELISA) B-133<br />

Enzyme levels A-535<br />

Enzyme method B-44<br />

Enzyme-Linked Immunosorbent Assay) A-68<br />

Epidemiologic study B-145<br />

EPOC B-55<br />

EQA B-18<br />

Equipment B-37<br />

erectile dysfunction A-154<br />

Error A-558, A-560<br />

Error detection B-68<br />

errors B-85<br />

Errors in Laboratory Medicine B-12<br />

erythrocyte 6-thioguanine A-164<br />

erythropoietic protoporphyria A-482<br />

Esophageal cancer A-61<br />

estimated average glucose A-302, A-348<br />

estradiol A-281, A-332, A-360<br />

Estrogens A-168<br />

etanercept A-246<br />

Ethanol A-550<br />

ethylene glycol A-437<br />

eukaryote-made Taq polymerase B-102<br />

Evaluation A-315, A-89<br />

Evaluation <strong>of</strong> differences between lots <strong>of</strong><br />

reagent B-276<br />

Everolimus A-159, A-451<br />

exogenous insulin A-335<br />

exosomes A-66<br />

Experimental Design A-208<br />

External Quality Assessment B-65<br />

Extractable A-556<br />

Extraction A-125<br />

extraction devices B-260<br />

F<br />

FABP1 B-159<br />

Factor V A-506<br />

false positive B-108, B-210<br />

FBP-interacting repressor A-09<br />

Fecal Bile Acids B-331<br />

fecal calprotectin B-64<br />

Federal District (Brazil) B-118<br />

Felbamate A-202<br />

ferritin B-167<br />

Fetal Aneuploidies B-293<br />

Fetal Lung Maturity B-304, B-308<br />

FFPE A-181<br />

Fibrin B-200<br />

Fibrin monomer complex A-491<br />

Fibrosis B-201<br />

figurative ery<strong>the</strong>ma A-313<br />

Filamin A A-453<br />

filter paper B-267<br />

First Degree Relatives A-338<br />

FK506 A-445<br />

FLC A-20<br />

flow cytometry A-386<br />

FLT3 mutation A-29<br />

fluorouracil A-446<br />

fMRI A-391<br />

FOB A-47<br />

folate A-135, B-16<br />

folate fortification B-16<br />

Folic acid A-138<br />

forensic analysis A-475<br />

Format B-58<br />

fractionation A-432<br />

Framingham B-332<br />

Free A-168<br />

Free and Total A-167<br />

Free light A-258<br />

free light chain A-19, A-22, A-261<br />

Free Light Chains<br />

A-229, A-231, A-232,<br />

A-60, A-63<br />

free testosterone A-328<br />

free thyroid hormones A-307<br />

Free thyroxine A-529<br />

Free-glycerol B-320<br />

Freelite A-20, A-253, A-273<br />

Freidewald Equation B-336<br />

FREND B-172<br />

frequency B-144<br />

fungi Identification A-212<br />

G<br />

Galectin-3 B-177, B-201, B-322<br />

GC-MS A-438<br />

gc/ms A-440<br />

GEM B-280<br />

Gene expression A-112<br />

genelyzer B-246<br />

genes NPM1 and FLT3 A-129<br />

genome A-135<br />

genotyping A-131<br />

Gestational Diabetes A-297<br />

GGT A-477, A-510<br />

Ginseng A-433<br />

Gliadin A-398<br />

Global Health A-367<br />

glomerular filtration rate A-174<br />

Glucagon stimulating test A-330<br />

glucometer B-60<br />

glucose A-303, A-311, B-245, B-272<br />

glucose meter B-67, B-81<br />

glucose monitoring B-60<br />

Glycan Pr<strong>of</strong>iling A-207<br />

glycated hemoglobin A-290, A-320<br />

Glycosylation B-255<br />

Gold nanoparticles A-17<br />

gonadotrophic A-358<br />

Gram Stain A-386<br />

Graves’ ophthalmopathy A-321<br />

Growth hormone A-327<br />

growth hormone deficiency A-330<br />

GWAS A-410<br />

H<br />

H-FABP B-191<br />

haematological disorders A-19<br />

haematology B-48<br />

Hand-held B-88<br />

haplotyping A-103<br />

haptoglobin B-172<br />

harmonization A-322<br />

HAVAB-G A-399<br />

Hb A1c A-314, A-387<br />

HbA A-21<br />

HbA1c A-288, A-323, A-341, A-344, A-348,<br />

A-352, A-527, A-537, A-92, B-44, B-53<br />

HBsAg A-415, B-120<br />

HBV B-100, B-110<br />

HBV DNA A-415<br />

hCG B-50<br />

HCII A-500<br />

HCV A-123<br />

A290


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

HCV infection A-132<br />

HCV, hepatitis C infection B-345<br />

HDL B-321<br />

HDL-C B-341<br />

HDL-cholesterol B-252<br />

HE4 A-11<br />

Health Risk Assessment A-151<br />

healthy A-266<br />

Healthy children B-310<br />

heart failure B-177, B-196, B-218, B-238<br />

heart type fatty acid binding protein B-302<br />

Heart-type fatty acid binding protein<br />

(H-FABP) A-379<br />

Heart-type fatty acid-binding protein B-204<br />

heavy/light chain A-03, A-44<br />

hematocrit A-218, B-73<br />

Hematology A-479, A-493, A-501, A-502,<br />

A-503, A-504, A-518, A-519, B-04<br />

Hematopoietic Stem Cell<br />

Transplantation B-302<br />

Hemodialysis A-304<br />

hemodialyzed patients A-375<br />

Hemoglobin A-323<br />

hemoglobin A1c<br />

A-302, A-303, A-311,<br />

A-315, B-51<br />

Hemoglobin D A-527<br />

Hemoglobin J A-344<br />

Hemoglobin variant A-344<br />

Hemoglobin Variants A-315<br />

Hemolysis A-528, A-534<br />

hemostatic alterations B-57<br />

HEp-2 A-255<br />

Heparin A-494<br />

Hepatic fibrosis A-422<br />

Hepatitis A-415<br />

Hepatitis A A-399<br />

Hepatitis C A-404, B-140<br />

hepatitis C virus A-256<br />

hepatocellular carcinoma A-12, A-27, A-33<br />

hepatorenal syndrome A-392<br />

heroin A-171<br />

herpes virus B-141<br />

Hevylite A-258<br />

Hevylite Chain Assay A-257<br />

HFRS A-287<br />

High Resolution A-180<br />

high resolution Orbitrap A-169<br />

high risk HPV E6/E7 mRNA A-97<br />

high sensitive B-182<br />

high sensitive C-reactive protein (hsCRP)<br />

A-379<br />

High Sensitive Troponin I B-193<br />

High Sensitive Troponin-I B-194<br />

High sensitivity B-215, B-216<br />

high sensitivity Cardiac Troponin T B-188<br />

High Throughput A-161, A-193<br />

High-density Lipoprotein B-323, B-327<br />

High-performance liquid<br />

chromatography A-473<br />

high-resolution computed tomography B-95<br />

High-sensitivity B-175, B-219<br />

high-sensitivity cardiac troponin I<br />

B-179,<br />

B-220<br />

high-sensitivity cardiac troponin T B-179<br />

high-sensitivity cTnT B-176<br />

High-Sensitivity Troponin T B-184<br />

High-Throughput A-191, A-216, A-88<br />

Highly sensitive assay A-34<br />

histoplasma antigen B-114<br />

histoplasmosis B-114<br />

Hitachi LABOSPECT 008 B-254<br />

HIV<br />

A-270, B-115, B-125,<br />

B-145, B-69, B-90, B-97<br />

HIV-1 B-108<br />

HLA-DP/DQ B-110<br />

homocysteine B-217, B-281<br />

hormonal tests A-358<br />

Hospital Acquired Infections A-403<br />

hospital admission A-402<br />

hospital discharge A-390<br />

HPLC<br />

A-137, A-162, A-299, A-305, A-314,<br />

A-482, A-527, B-163, B-295<br />

HPLC column A-204<br />

HPLC-MS/MS B-79<br />

HPLC-UV A-427<br />

HPV A-38, B-101, B-111, B-118, B-246<br />

HPV genotyping B-118<br />

HRM A-111, B-100<br />

hs CRP A-343<br />

hs-TnI B-211<br />

hs-TnT B-211<br />

HTLV B-119<br />

HTLV infection B-119<br />

HTLV-1/2 B-119<br />

human antisera B-155<br />

human error A-540<br />

Human Papillomavirus A-107, A-131, A-28<br />

hva A-199<br />

Hybrid XL A-85<br />

hydrocodone A-439<br />

hydroxychloroquine A-444<br />

Hyperferritinemia A-124<br />

Hypergammaglobulinemia A-271<br />

Hypertension B-337<br />

Hyperthyroidism A-317<br />

hypertrophy B-185<br />

Hypokalemia A-528<br />

Hyponatremia B-273<br />

Hypothyroidism A-308, A-317, B-34<br />

I<br />

I A-220<br />

i-STAT B-55, B-63<br />

I/D polymorphism <strong>of</strong> ACE gene A-117<br />

ICP A-214, A-220<br />

ICP-MS A-140, A-432<br />

ICU B-82<br />

Identification A-190, B-144<br />

idic(Xq) A-108<br />

iFOB A-21<br />

IgA A-248<br />

IgA subclasses A-275<br />

IgE A-224<br />

IgE level A-228<br />

IGFBP-4 fragments B-192<br />

IgG A-272<br />

IgG4 A-227, A-277<br />

IGRA A-230<br />

IL-21-JAK/STAT signaling pathway B-100<br />

IL6 A-26<br />

Imaging A-479, A-501, A-502, A-503, A-518<br />

IMMULITE 2000 XPi B-258<br />

Immune Cell A-188<br />

Immunoassay<br />

A-11, A-153, A-175,<br />

A-21, A-248, A-249, A-252,<br />

A-253, A-272, A-273, A-274, A-275,<br />

A-276, A-277, A-284, A-291, A-314,<br />

A-329, A-340, A-345, A-467, A-474, A-538,<br />

A-72, B-158, B-192, B-248, B-88<br />

Immunoassays A-316, A-380, B-159, B-160<br />

immunoblot A-256<br />

ImmunoCAP® A-228<br />

immunochromatography B-104<br />

immunocomplex A-340<br />

Immun<strong>of</strong>luorescence A-255, A-260<br />

Immun<strong>of</strong>luorescence test A-233<br />

Immunoglobulin A-227, A-362, B-168<br />

immunoglobulin free light<br />

chains A-270, A-51<br />

immunoglobulin gene rearrangement A-225<br />

immunohistochemistry A-31<br />

Immunoprecipitation B-321<br />

immunosuppresant A-434<br />

Immunosuppressant A-184, A-191, A-448<br />

Immunosuppressants A-430, A-80<br />

immunosupressant B-24<br />

Immunoturbidimetric assay B-164<br />

Implants A-483<br />

imprecision B-220<br />

Improve Laboratory efficiency B-15<br />

in-house method B-141<br />

Inborn Error <strong>of</strong> Metabolism A-207<br />

Inclusion/Exclusion A-122<br />

indeterminate A-230<br />

Indices A-534<br />

indirect immun<strong>of</strong>luorescent A-407<br />

Infection A-388, B-300<br />

infection control B-39<br />

infectious disease B-129<br />

Infectious diseases B-109<br />

infertilty A-337<br />

Inflammation A-238, B-255<br />

Inflammatory Biomarkers B-151<br />

inflammatory bowel disease B-64<br />

Inflammatory process A-373<br />

infliximab A-163, A-461<br />

influenza B-104<br />

Informatics A-81<br />

inguinal hernia A-372<br />

Inhibin A ELISA A-350<br />

Inhibin b A-284<br />

Inhibition A-551<br />

iNOSoxy A-483<br />

Insulin B-296<br />

Insulin analogues A-178<br />

Insulin resistance A-300, A-312, B-345<br />

Insulin-Induced Hypoglycemia<br />

Provocative Test A-327<br />

Insulin-like growth factor-1 A-312<br />

Integration A-352<br />

interference A-537, B-200<br />

INTERFERENCES A-47<br />

interferon gamma release assay A-242<br />

Interferon-γ release assay B-95<br />

Interferon-gamma B-94<br />

interleucine B28 B-140<br />

intermediate-risk cytogenetics A-99<br />

internal quality control frequency A-561<br />

Interpretation A-558<br />

Interstitial pneumonia A-237<br />

intervention A-364<br />

Intestinal parasites B-117<br />

Intrinsic factor antibodies A-538<br />

Intrinsic Factor Blocking Antibody A-139<br />

Iohexol A-465<br />

Ion Suppression A-158<br />

Ionization A-179<br />

Ionized B-278<br />

iothalamate A-174<br />

IQC B-18<br />

Iron A-124<br />

Iron Deficiency A-485, A-525<br />

Iron deficiency anemia B-167<br />

Irritable bowel B-331<br />

Ischaemic stroke B-160<br />

Ischemia-modified albumin A-317<br />

ischemic heart disease B-223<br />

ISE B-277<br />

Is<strong>of</strong>orms B-329<br />

isotope dilution mas spectrometry A-155<br />

IVS2-2 Mutation A-100<br />

A291


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

K<br />

k light chain A-267<br />

karyotipe A-419<br />

karyotype A-129, A-408<br />

Keppra A-452<br />

ketoacidosis B-83<br />

Ketostix B-83<br />

Key Performance Indicators B-29<br />

kidney A-393<br />

Kidney transplant patients A-376<br />

kinase-fusion transcript A-46<br />

KL-6 A-237<br />

KPC B-124<br />

KRAS A-67<br />

Kryptor A-346, A-43<br />

L<br />

Lab Automation A-82<br />

lab errors B-40<br />

laboratory B-39<br />

laboratory automation A-76<br />

Laboratory blood gases analysis B-275<br />

Laboratory Capacity A-367<br />

laboratory error A-520<br />

Laboratory Information System B-38<br />

Lacosamide A-156<br />

lactate B-17, B-247, B-49<br />

lactate:pyruvate (L:P) ratio B-247<br />

Lamellar body counts B-308<br />

large buoyant LDL B-343<br />

Latex particle-enhanced turbidimetric<br />

immunoassay B-167, B-173<br />

latex-enhanced immunoturbidimetric<br />

assay A-237<br />

LC-MS A-204<br />

LC-MS/MS<br />

A-110,<br />

A-156, A-159, A-163, A-171, A-175, A-202,<br />

A-203, A-210, A-215, A-218, A-292, A-294,<br />

A-329, A-332, A-37, A-435, A-469, A-476,<br />

A-80, B-222, B-256, B-267<br />

LC-MS/MS method development A-160<br />

LC-TOF-MS/MS A-205<br />

LC/MS/MS A-164, A-176, A-471<br />

LC/MSMS A-450<br />

LC/TOF A-180<br />

LDH A-535<br />

LDL B-333<br />

LDL-cholesterol B-332, B-336<br />

LDL-Particle B-333<br />

Leachable A-556<br />

lead B-297<br />

LEAN A-82<br />

Lean methods B-30<br />

LEAN principle B-15<br />

lectin-like oxidized LDL receptor-1 gene<br />

polymorph A-381<br />

Leptin A-300, B-296<br />

leucovorin A-459<br />

Levels A-148<br />

Levetiracetam A-452<br />

LH500 B-63<br />

Light chain A-227<br />

light protection A-533<br />

Lin28 A-283<br />

Lipemia A-550<br />

Lipid A-472, B-02<br />

Lipid hydroperoxide A-186<br />

lipid lcmsms B-330<br />

Lipid pr<strong>of</strong>ile B-212, B-325<br />

Lipid quantitation B-330<br />

lipids B-332, B-53<br />

lipoprotein A-186<br />

Lipoprotein (a) B-339<br />

Lipoprotein Associated<br />

Phospholipase A2 B-198<br />

lipoprotein subfractions B-343<br />

Lipoprotein(a) B-328<br />

Lipoprotein-Associated Phospholipase A2<br />

Activity B-316<br />

Lipoproteins A-547<br />

Liquid assay B-212<br />

liquid chromatography A-216<br />

Liquid chromatography tandem mass<br />

spectrometry A-429<br />

liquid chromatography-tandem mass<br />

spectrometry A-174<br />

Liquid control A-532<br />

Liquid-based cytology A-38<br />

Liver Fibrosis A-404<br />

liver transplantation A-521<br />

LMWH A-494<br />

LOCI A-551<br />

logistic regression A-75<br />

Lovastatin A-453<br />

low sigma B-19<br />

lower respiratory tract infection A-423<br />

LOX-1 B-326<br />

Lp-PLA2 Activity B-316<br />

lung adenocarcinoma A-31<br />

Luteinizing hormone B-50<br />

Lyme A-234<br />

lymphocyte B-97<br />

Lysosomal storage diseases B-72<br />

M<br />

macroenzyme B-155<br />

Macroenzymes A-271<br />

Macrophage A-453<br />

macroprolactin A-298<br />

Magnesium A-310, A-368<br />

magnetic biosensor B-264<br />

Major depressive disorder A-187, A-366<br />

Malaria<br />

MALDI-TOF<br />

B-103,<br />

A-190, A-192,<br />

A-196, A-211, A-212<br />

Management B-20, B-37<br />

Management system B-29<br />

MAPK B-259<br />

mass A-186<br />

mass accuracy mass spectrometry A-475<br />

Mass spectometry A-197<br />

mass spectrometry A-146, A-152, A-157,<br />

A-161, A-166, A-167, A-168, A-170, A-173,<br />

A-181, A-183, A-184, A-193, A-195, A-196,<br />

A-198, A-208, A-211, A-212, A-217, A-219,<br />

A-281, A-305, A-307, A-324, A-425, A-444,<br />

A-448, A-454, A-457, A-458, A-462, B-153,<br />

B-169, B-244, B-331<br />

Ma<strong>the</strong>matical Modeling A-485<br />

Matrix Effects A-158<br />

Matrix Gla Protein A-304<br />

Matrix metalloproteinase 9, MMP-9 B-305<br />

Matrix Metalloproteinases A-354<br />

MB fraction <strong>of</strong> creatine kinase B-233<br />

mean platelet volume A-510<br />

Measure A-558<br />

melanoma A-66<br />

MEN2A B-307<br />

Mephedrone A-203<br />

mercury A-214<br />

meso<strong>the</strong>lial cell A-374<br />

metabolic B-78<br />

Metabolic syndrome<br />

A-301, A-339,<br />

B-125<br />

Metabolism A-359<br />

metabolomics A-12<br />

metalloproteinases A-325<br />

metals urine A-220<br />

metanephrine A-200, A-299<br />

Methadone half life A-456<br />

Methamphetamine B-244<br />

Methanol A-468<br />

Method A-465<br />

Method Comparison<br />

A-172, A-257, A-345,<br />

B-297, B-49, B-76<br />

Method Development A-208, A-221<br />

Method Evaluation A-512, B-227<br />

method validation A-434<br />

Methods comparation B-111<br />

Methotrexate<br />

A-454,<br />

A-455, A-459, A-474<br />

methylone A-438<br />

mi-RNA A-66<br />

Mice A-472<br />

micro-fluidic B-248<br />

Microarray A-61<br />

Microarray reproducibility A-130<br />

microbiological assay A-137<br />

Microbiology A-190, A-197<br />

microbiology diagnostic A-192<br />

microelectrodes A-116<br />

Micr<strong>of</strong>luidics B-42<br />

microRNA A-106<br />

Microsatellite Instability A-118<br />

Microtiter Plate A-539<br />

Microvascular Complications A-354<br />

mid-regional pro-adrenomedullin A-423<br />

Midstream B-58<br />

minimum sweat weight B-309<br />

miR-638 A-30<br />

MiRuDa B-257<br />

miscarriages A-419<br />

Mitsubishi Pathfast B-207<br />

MMT programs A-456<br />

modified LDL B-326<br />

Molecular detection A-225<br />

Molecular Diagnostic<br />

A-125, A-126,<br />

B-116, B-138, B-139<br />

Molecular Diagnostics B-174, B-266<br />

molecular markers A-99<br />

monitoring A-03, A-44<br />

monoclonal A-229, B-113<br />

monoclonal antibodies<br />

A-163, B-159,<br />

B-191, B-243<br />

monoclonal gammopathy A-254<br />

mosaicism A-109<br />

Mountain plot A-78<br />

MRSA A-403, B-121<br />

MSI Analysis System, version 1.2 A-118<br />

MSIA A-178<br />

Müllerian Inhibiting Substance A-360<br />

multi-analyte B-248<br />

Multi-analyte control A-532<br />

Multi-center A-229<br />

Multi-center comparison B-262<br />

Multi-Ethnic Study <strong>of</strong> A<strong>the</strong>rosclerosis<br />

(MESA) A-411<br />

multifocal hemorrhage B-57<br />

multiparameter analyzer A-89<br />

Multipass membrane proteins B-243<br />

multiple myeloma A-03, A-04, A-22, A-225,<br />

A-258, A-44, A-496, A-515, A-60, A-63<br />

multiple sclerosis A-267<br />

Multiple Weigted Least Squares<br />

Regression B-52<br />

multiplex A-53, B-54<br />

multiplex PCR A-46, A-69, A-70<br />

Multiplex real-time PCR A-107<br />

A292


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Multispecies B-04<br />

mutation B-259<br />

Mutation BRAFV600E A-296<br />

mycobacterial B-144<br />

Mycophenolic Acid A-458<br />

Mycoplasma B-137<br />

myeloma A-257, A-484, A-51<br />

myeloproliferative disorders A-508<br />

myocardial damage cut-<strong>of</strong>f B-213<br />

myocardial infarction B-179, B-202, B-233<br />

Myocardial Ischemia B-188<br />

myostatin B-185<br />

N<br />

N-acetylcysteine B-07<br />

N-linked glycosylation A-14<br />

N-Terminal Pro-B-Type Natriuretic<br />

Peptide B-184<br />

NADPH A-310<br />

nasopharyngeal carcinoma A-28<br />

NAT2 A-103<br />

Neat samples B-158<br />

negative predictive value B-182<br />

Neonatal screening A-552<br />

neonate B-75<br />

nephrotic proteinuria A-254<br />

nephrotoxicity B-07<br />

Network A-389<br />

neuroblastoma A-64<br />

Neurologist A-391<br />

neutrophil gelatinase lipocalin B-270<br />

neutrophil gelatinase-associated<br />

lipocalin A-365<br />

Newborn screening B-72<br />

next generation A-251, A-278<br />

Next-generation sequencing B-293<br />

NGAL A-244, A-543, B-171<br />

nicotine A-157, A-431<br />

Niemann-Pick C1-Like 1 A-105<br />

NJ001 specific antigen A-31<br />

NMR B-245, B-255<br />

NO A-116<br />

Non invasive prenatal diagnosis B-307<br />

non mosaic A-108<br />

non-glucose carbohydrates B-272<br />

Non-Human Primate, Rodent, Equine,<br />

Bovine, Canine B-09<br />

Non-linear Equation B-336<br />

Non-targeted acquisition A-205<br />

Noninvasive prenatal test B-293<br />

Notch signaling A-259<br />

notification process B-21<br />

NSCLC A-46<br />

NT-proBNP B-06, B-221, B-26<br />

Nuclear magnetic resonance (NMR) A-411,<br />

A-547<br />

Nucleases A-101<br />

O<br />

Obesity A-531<br />

Olanzapine Pharmacogenetics A-98<br />

Oligoclonal Bands B-162<br />

Oligomenorrhea A-337<br />

open neural tube defect B-288<br />

Operator A-555<br />

Opiates A-471<br />

Opportunistic screening A-289<br />

optical B-78<br />

Orbitrap mass spectrometer B-318<br />

Osmolality A-544<br />

osmotic demyelination syndrome B-273<br />

Osteocalcin A-347<br />

Outcome B-175, B-230<br />

OVA1 A-26<br />

Ovarian A-26<br />

Ovarian cancer A-238<br />

Ovarian cancer biomarker A-11<br />

Ovarian carcinoma A-41<br />

Ovarian Mucinous Cancer A-74<br />

ovarian reserve A-350<br />

Ovarian reserve assessment A-349<br />

overutilization A-92<br />

ovulation B-45, B-50<br />

Oxcarbazepine A-441<br />

oxidation A-293<br />

oxidative stress A-395, B-344<br />

Oxidative stress parameters A-420<br />

Oxidized lipoprotein B-328<br />

ozone <strong>the</strong>rapy B-07<br />

P<br />

P2Y12 receptor A-522<br />

Pain management A-162<br />

pain medication A-439<br />

Paired t-Test, ANOVA,Tests for<br />

Normality B-276<br />

PANACLEAR MMP-3 “Latex” B-254<br />

pancreatic A-10<br />

pancreatic elastase in feces A-331<br />

Pancytopenia A-524<br />

panic B-33, B-41<br />

Paper Spray Ionization A-189<br />

Papillary thyroid carcinoma A-296<br />

Paraoxonase 1, Arylesterase B-344<br />

paraoxonase family A-420<br />

Parathyroid hormone A-183<br />

Paricalcitol A-373<br />

Paternity test A-122<br />

Patient identification B-12<br />

patient safety A-364, B-12, B-21<br />

patients with daiabetes mellitus A-331<br />

Pb A-464<br />

PCR<br />

A-125, B-121, B-124,<br />

B-142, B-143, B-250, B-95<br />

PCT B-105<br />

pediatric B-284<br />

pediatric population B-287<br />

Pediatrics B-189<br />

Peditubes A-84<br />

Pemphigus A-265<br />

pending tests A-390<br />

Performance Evaluation A-88<br />

Peri- analytics A-90<br />

peri-menopausal transition A-349<br />

perinatal B-300<br />

Peripros<strong>the</strong>tic Joint Infection B-170<br />

peritoneal dialysis A-374, B-146<br />

peritonitis A-374, B-146<br />

pH A-545<br />

pharmacogenetics A-102<br />

Pharmocogenetics A-111<br />

Phenotype B-156<br />

Phenotypic and genotypic character B-126<br />

phenylalanine B-295<br />

Pheochromocytoma A-177<br />

phlebotomy A-520, A-536, A-554<br />

phospholipase D B-317<br />

Phosphoproteome A-188<br />

Photo<strong>the</strong>rmal <strong>the</strong>rapy A-17<br />

phylloquinone A-152<br />

Pimozide A-473<br />

Piperine A-472<br />

Pipette A-555<br />

Placenta B-296<br />

plasma A-200, B-210<br />

plasma cell dyscrasias A-51<br />

Plasma lipids B-59<br />

plasmatic catecholamines B-180<br />

Platelet A-504, A-510<br />

platelet catecholamines B-180<br />

Platelet Function A-480<br />

Platelet Function Testing B-74, B-76, B-80<br />

Platelet Inhibition B-80<br />

platelet reactivity A-499<br />

Platelet resuspension A-546<br />

platelets A-522<br />

Pleural Fluid B-86<br />

PlGF A-346<br />

PNA B-101<br />

PNA array B-101<br />

Pneumatic tube A-535<br />

pneumococcal capsular<br />

polysaccharide A-243<br />

Pneumonia B-137<br />

POCT B-44<br />

podocytes A-96<br />

point B-69<br />

Point <strong>of</strong> care<br />

B-203, B-205, B-266,<br />

B-47, B-48, B-54, B-82, B-86<br />

Point <strong>of</strong> care glucose B-65<br />

point <strong>of</strong> care test B-64<br />

Point <strong>of</strong> care testing<br />

B-275, B-43,<br />

Point-<strong>of</strong>-Care<br />

B-84, B-87<br />

B-103, B-221, B-60,<br />

B-71, B-75, B-77<br />

POLIMYXIN B-124<br />

Polyclonal antibody A-441<br />

Polycyclic aromatic hydrocarbons A-222<br />

Polycystic Ovaries Syndrome A-312<br />

polycystic ovary syndrome A-286<br />

Polyethylene glycol A-362<br />

Polyethyleneglycol precipitation A-298<br />

Polymer A-556<br />

Polymerase Chain Reaction – Restriction<br />

Fragment L A-105<br />

polymorphism A-283, A-372, B-110<br />

Polymorphisms A-516<br />

Posaconazole A-449<br />

post PCI myocardial infarction B-228<br />

post transplant lymphoproliferative<br />

disease A-261<br />

Potassium A-528<br />

Pre-Amplification A-112<br />

pre-analytical A-91, B-35<br />

Pre-analytical conditions A-541<br />

Pre-analytical errors B-279<br />

Pre-eclampsia A-346<br />

pre-eclampsia, small for gestational age<br />

infants B-305<br />

Prealbumin A-251<br />

preanalytic automatic sample preparation<br />

B-164<br />

Preanalytical influence <strong>of</strong> sample<br />

temperature B-301<br />

preanalytical variability A-520, A-536, A-554<br />

Preanalytical variables A-560<br />

Precision goals A-487<br />

Preclinical species A-176<br />

Predicting B-280<br />

Preeclampsia A-138, A-381<br />

Pregnancy A-170, A-476, B-306, B-45, B-58<br />

Pregnancy Associated Plasma<br />

Protein A, Free b-hCG B-301<br />

pregnant B-149<br />

pregnant women A-348<br />

Prenatal screening for chromosomal<br />

abnormalities B-301<br />

preterm infants B-299<br />

Prevalence B-117<br />

A293


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

primary care setting B-81<br />

Primary hyperparathyroidism A-289<br />

Principal component analysis A-322<br />

procalcitonin A-378, A-423, B-10, B-129<br />

process improvment B-24<br />

Product <strong>of</strong> calcium and phosphorus B-237<br />

productivity B-38<br />

Pr<strong>of</strong>iciency testing B-65<br />

prognosis A-410, B-182, B-196<br />

prograf A-445<br />

progranulin A-286<br />

Prolactin A-334, A-337<br />

prolactinoma A-326<br />

Promoter A-41<br />

Pronostic value A-63<br />

Prosomatostatin B-238<br />

Prostaglandins F2 Alpha A-219<br />

prostate cancer A-14, A-37, A-58<br />

Prostate Cancer Aggressiveness A-05<br />

prostate- specific antigen B-70<br />

prostate-specific antigen A-48<br />

prostatic hyperplasia A-58<br />

protein electrophoretic pr<strong>of</strong>ile A-58<br />

protein precipitation plate A-143<br />

proteins B-163<br />

Proteomic A-183<br />

proteomics A-221, A-27<br />

Prothrombin A-512, B-154<br />

Prothrombin Time A-486<br />

Prothrombinase A-506, B-154<br />

Proton Pump Inhibitor(PPI) A-368<br />

Protoporphyrin A-482<br />

PRU B-80<br />

PTH A-293<br />

Puberty A-358<br />

pulmonary embolism A-477<br />

Pyridoxal 5-phosphate A-141<br />

Pyridoxic acid A-141<br />

Pyrosequencing A-67<br />

pyruvate B-247<br />

Q<br />

Q Fever B-150<br />

QC rules B-19<br />

QMS everolimus assay A-451<br />

Qnr B-123<br />

Quality B-20, B-251, B-85<br />

Quality assessment B-81<br />

quality assurance A-380, B-18, B-40<br />

Quality Control<br />

A-486, A-487, A-532, A-75,<br />

B-109, B-19, B-59, B-68<br />

Quality Control Design A-559<br />

quality improvement B-40<br />

Quality Performance B-14<br />

Quality Specifications B-284<br />

quantification A-178, A-442<br />

Quantitative B-120<br />

quantitative assay B-70<br />

quantitative determination A-449<br />

quantitative immunoassay B-172<br />

R<br />

RAAS A-287<br />

radiosensitivity A-28<br />

Ranges A-389<br />

RANTES B-158<br />

Rapamune A-159<br />

RapidFire A-447<br />

RAPIDPoint 500 B-66<br />

Rat plasma A-165<br />

RBC A-517<br />

re-hospitalization A-390<br />

Reaction Curve Fitting method B-257<br />

real time B-140<br />

Real time PCR A-62<br />

Recalibration B-291<br />

Red Cell Indices A-525<br />

red cell lifetime A-302<br />

reference change value A-290, A-387<br />

reference interval A-224, A-298, A-431,<br />

A-531, A-68, B-289, B-290, B-294<br />

REFERENCE INTERVALS A-173, A-292,<br />

B-189, B-285, B-310<br />

reference material B-169, B-269<br />

reference method B-166<br />

reference population B-213<br />

Reference range A-318, A-480, B-183<br />

Reference value A-334, A-363<br />

reliability evaluation B-257<br />

Remnant lipoproteins B-340<br />

Renal A-416<br />

Renal Fibrosis B-322<br />

renal function B-299<br />

Renal transplant A-451<br />

renal transplantation A-241, A-263<br />

renal vasoconstriction A-392<br />

Repiratory Distress Syndrom B-304<br />

resource-limited B-20<br />

respiratory distress syndrome B-308<br />

respiratory virus A-126, B-127<br />

Response pattern B-68<br />

retinol-binding protein B-234<br />

Retrospective data analysis A-205<br />

Rheumatoid arthritis B-254<br />

Rifampin A-442<br />

RiLiBAEK A-561<br />

Risk factors A-241<br />

risk index A-521<br />

risk management A-533<br />

Risk prediction A-297, B-178<br />

risk stratification B-206, B-74<br />

risk-analysis B-99<br />

risk-stratification A-394<br />

RLP B-340<br />

RLP-C B-340<br />

RNA B-250<br />

RNA isolation B-139<br />

RNase L A-188<br />

Robust Method B-183<br />

Roche A-147, A-460<br />

Roche Modular P A-452<br />

ROMPlus B-61<br />

routine A-197<br />

routine screening B-217<br />

RPR B-98<br />

RT-PCR A-29, B-123<br />

Rthnic groups B-115<br />

RX monaco B-212, B-231<br />

S<br />

S100B B-161<br />

salicylate B-277<br />

Salting-out Liquid/Liquid Extraction A-450<br />

Sample Flow A-91<br />

Sample preparation A-195, A-471, A-83<br />

sample stability B-260<br />

sample type A-540<br />

Sarcosine A-37<br />

Schistosomiasis A-524<br />

Screening A-19, A-421, A-47<br />

Seasonal variation A-355, A-356<br />

sediment B-313<br />

Selected reaction monitoring B-329<br />

send-out testing B-11<br />

sensitive A-43, B-202, B-265<br />

sepsis<br />

A-400, B-10, B-102,<br />

B-129, B-49, B-89, B-99<br />

septic shock B-89<br />

sequencing A-13<br />

serial B-56<br />

Serology B-137, B-150, B-287<br />

Serology Controls B-109<br />

serum A-461<br />

Serum biomarker A-04<br />

Serum Calcium A-289<br />

serum concentration A-98<br />

Serum free light chain ratio A-484<br />

Serum gel barrier formation A-548<br />

serum ketones B-83<br />

Serum Protein Electrophoresis B-115<br />

Serum soluble transferrin receptor A-295<br />

Sex B-186<br />

sex determination A-553<br />

Sex Hormone Binding Globulin A-309<br />

SHBG A-328<br />

SIEMENS B-66<br />

sIgE A-245<br />

Sigma Metric B-14<br />

Sigma Statistics A-486<br />

silver amplification B-104<br />

Simoa B-219<br />

simulation A-303<br />

single nucleotide polymorphism A-105,<br />

A-106, A-498<br />

sirolimus stat proteins A-263<br />

SIRS A-400<br />

SLE A-231, A-244<br />

small dense LDL B-337, B-343<br />

smoking A-02<br />

SNP A-410<br />

SNP genotype A-130<br />

S<strong>of</strong>tware A-81, B-37, B-39<br />

Solid Phase Extraction A-435<br />

Soluble CD 163 A-301<br />

Soluble cytokine receptors B-151<br />

soluble lectin-like oxidized LDL<br />

receptor-1 A-381<br />

sorting A-91<br />

SPE B-79<br />

SPE/MS/MS A-447<br />

Species differences B-05<br />

Specific Protein B-168<br />

specificity B-90<br />

Specimen Collection A-430<br />

specimen processing A-76<br />

Specimen processing control B-116<br />

SPEP A-92<br />

spermatogenesis A-350<br />

sphingomyelin B-317<br />

Spice Syn<strong>the</strong>tic Cannabinoids A-466<br />

Splenomegaly A-524<br />

Spreadsheet program A-78<br />

SR-BⅠ gene A-498<br />

Srum protein electrophoresis A-254<br />

SSRI A-366<br />

stability A-245, A-544, A-545, B-235, B-252<br />

Standardization A-136, A-280, A-351, B-320<br />

Statistical analysis B-310<br />

Statistical Analysis Precision A-492<br />

statistics A-464, B-252<br />

Steroids A-179, A-281, A-324, B-79<br />

stone B-313<br />

Stool sample B-117<br />

STR A-122<br />

Streptococcus agalactiae B-149<br />

Stroke B-153<br />

Sub-pg/mL Quantitation A-210<br />

A294


KEYWORD INDEX TO ABSTRACTS OF SCIENTIFIC POSTERS, <strong>AACC</strong> MEETING, <strong>2013</strong><br />

(Numbers refer to Poster Numbers; see pages A2 to A275)<br />

Subclinical hypothyroidism A-308, A-353<br />

Succinylacetoacetate B-292<br />

Succinylacetone B-292<br />

Surface Chemistry B-266<br />

surface plasmon resonance A-461<br />

sweat B-312<br />

sweat chloride B-309<br />

Synchron B-341<br />

syn<strong>the</strong>tic cannabinoids A-440, A-450<br />

Syphilis A-421, B-98<br />

Sysmex UF-1000i A-386<br />

Sysmex XE5000 A-77<br />

systemic inflammatory response<br />

syndrome A-392<br />

systemic lupus ery<strong>the</strong>matosus A-223, A-244<br />

T<br />

T lymphocytes A-265<br />

T regulatory cells A-515<br />

T-helper 1 cells A-496<br />

T-helper 17 cells A-496, A-515<br />

Tacrolimus A-189, A-434, A-445<br />

Tamoxifen A-110<br />

tandem mass spectrometry A-162, A-177<br />

target DSY14 A-553<br />

Targeted lipid analysis B-330<br />

tau B-240, B-241<br />

TDM A-446<br />

Technique A-555<br />

temperature A-245, A-544<br />

temperature stability B-35<br />

test utilization A-146, B-16<br />

test validation B-114<br />

test-utilization B-26<br />

testing A-153<br />

Testosterone<br />

A-167, A-193, A-215, A-329,<br />

A-332, A-339, A-345<br />

Th17 cells A-263<br />

Thalassemia A-525<br />

The JAK2 V617 mutation A-508<br />

Therapeutic Drug Monitoring A-430<br />

Three dimensional spheroids A-35<br />

Thrombin A-506, B-154<br />

thrombin receptor A-522<br />

thromboelastometry B-57<br />

thrombophilia A-514<br />

Thrombosis A-483<br />

throughput A-90<br />

thyroglobulin A-43, A-52, A-73<br />

thyroglobulin antibody A-52<br />

Thyroid A-195, A-210, A-291, A-333<br />

Thyroid hormones A-176, A-359, A-363<br />

thyroid stimulating hormone A-322<br />

thyroxine A-279<br />

Thyroxine binding proteins A-529<br />

Tissue Inhibitors <strong>of</strong> Metalloproteinases A-354<br />

Tm mapping method B-102<br />

TNF A-393<br />

TNF-alpha A-286<br />

TNF-inhibitors A-246<br />

TNFa A-371<br />

TNFA polymorphism A-371<br />

TNI B-186<br />

TNT B-186<br />

Toll-like receptor A-238<br />

Topiramate A-467<br />

Total Cholesterol B-323<br />

Total Error A-552<br />

Total iron binding capacity A-481<br />

Total Nucleic Acids B-116, B-138, B-139<br />

Total protein A-548<br />

total vitamin D status A-331<br />

Tourette Syndrome A-473<br />

Toxic alcohol A-468<br />

toxicology A-475<br />

toxin A and B B-142<br />

TPLA B-98<br />

traceability A-155, B-38<br />

transference B-285<br />

Transferrin A-278, A-481<br />

transfusion A-521<br />

Transglutaminase A-398<br />

transplant A-261<br />

transplantation A-393, A-93<br />

transportation B-35<br />

Transthyretin A-359<br />

Trauma B-157<br />

Treatment A-436<br />

Triacylglycerol hydroperoxide B-318<br />

triazole antifungal A-449<br />

Triglycerides B-320<br />

triiodothyronine A-279<br />

trisomy 8 A-109<br />

trisomy X A-109<br />

troponin B-190, B-202, B-203, B-210, B-214,<br />

B-215, B-216, B-219, B-221, B-230<br />

Troponin I<br />

A-551, B-175, B-200, B-227,<br />

B-239, B-87<br />

Troponin T B-87<br />

Trypanosomiasis B-148<br />

TSH A-291, A-333, A-355, A-362, A-363<br />

TSH follow up B-34<br />

tuberculosis A-106, A-230, A-242<br />

Tubulin inhibitors B-148<br />

tumor marker A-69, A-70<br />

tumor markers A-48<br />

tumor suppressor miRNA A-30<br />

turbidimetric A-248, A-249, A-252, A-253,<br />

A-272, A-273, A-274, A-275, A-276, A-277<br />

turbulent flow liquid chromatography A-444<br />

Turn Around Time A-82, B-30<br />

turn-around-time B-24<br />

turnaround time A-76<br />

Turner Syndrome A-408<br />

Type 1 Diabetes Mellitus A-343<br />

type 2 diabetes A-283<br />

Type 2 diabetes mellitus A-301, A-338<br />

tyrosine B-295<br />

Tyrosinemia type I B-292<br />

U<br />

UA/NSTEMI B-184<br />

ultra-high Performance Liquid<br />

Chromatography A-465<br />

Ultrafast Laser B-261<br />

Undiagnosed Diabetes A-309<br />

UPLC A-442, A-454, A-458<br />

Urinalisys A-87<br />

urinalysis B-106<br />

urinary catecholamines B-180<br />

Urinary free cortisol A-187<br />

Urinary Magnesium A-368<br />

Urinary Thromboxane B-222<br />

Urinary tract infection B-147<br />

urine A-429, B-161, B-269, B-322<br />

urine bacterial culture B-106<br />

urine drugs testing A-169<br />

Urine Preservation A-542<br />

Urine toxicology A-457<br />

Uterine leiomyomas A-117<br />

utilization management B-11<br />

V<br />

V tube A-530<br />

Vaccine responce A-243<br />

vacuum tubes A-536, A-554<br />

validation<br />

A-126, A-427, A-455,<br />

A-480, A-492,<br />

A-87, B-242, B-251, B-259<br />

VALUACION ACTIN FSL A-505<br />

Values B-33, B-41<br />

vanadate B-283<br />

variability A-377<br />

Variant A-352<br />

Vascular calcification A-304<br />

Vascular diseases B-328<br />

vaspin A-326<br />

vernix A-462<br />

Veterinary B-02<br />

viral hemorrhagic fever B-54<br />

VIRAL INFECTION B-143<br />

Vitamin B12 A-139, A-538<br />

vitamin B6 A-137, A-141<br />

Vitamin B6 and B12 A-135<br />

vitamin C A-143<br />

vitamin D<br />

A-136, A-144,<br />

A-146, A-147, A-148, A-151, A-153, A-154,<br />

A-172, A-175, A-216, A-280, A-294, A-305,<br />

A-321, A-340, A-353, A-539, B-256, B-294,<br />

B-306<br />

Vitamin D 25 Hydroxy A-342<br />

vitamin K1 A-152<br />

Vitamina D A-356<br />

Vitamine D A-145<br />

Vitamins A-217<br />

Vitek 2 B-112<br />

VITEK2 System B-126<br />

Vitros A-460<br />

VLDL B-318<br />

vma A-199<br />

W<br />

Waist Circumference A-531<br />

Water and Fat Soluble A-217<br />

WCC B-105<br />

weeks estimation B-45<br />

WHO/IFCC reference material<br />

SRM2B B-339<br />

whole blood B-264<br />

Women A-148<br />

A295

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