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High False Positive Rate Of An ELISA Screen For The Detection Of Anti-Factor VIII Antibodies In Congenital Hemophilia A

2013· article· en· W2262886133 on OpenAlexaffabout
Jaime Kwok, Ming Yang, John K. Wu, Cedric J. Carter, Shannon Jackson

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsSt. Paul's HospitalBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineAntibodyGold standard (test)Factor IXInternal medicineGastroenterologyImmunology

Abstract

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Abstract Introduction Anti-factor VIII antibodies are a serious complication of factor replacement therapy in hemophilia A patients. Neutralizing antibodies could previously only be detected via the functional and gold-standard Bethesda assay with or without the Nijmegen modification. The introduction of an enzyme-linked immunosorbent assay (ELISA) screening test provides a less laborious alternative to the Bethesda assay and also has a high sensitivity. Unlike the Bethesda assay, the ELISA can potentially detect non-neutralizing antibodies, which raise the possibility of false positive screens. As it is important that both clinicians and the coagulation laboratory understand the clinical performance of ELISA screening, this study evaluated the sensitivity and specificity of ELISA and Bethesda assays used in both a laboratory validation study and in subsequent clinical experience. Methods Results from all active adult and pediatric congenital hemophilia A patients who underwent both Bethesda assay and ELISA in British Columbia, Canada as of July 2013 were included in this study. The sensitivity and specificity were compared to the provincial coagulation laboratory validation study of the GTI Factor 8 Antibody ELISA kit against the classical Bethesda assay conducted in both hemophilia A and normal controls in 2010. Optical density (OD) readings were retrieved for eligible samples and from the laboratory validation study. Results 35 samples from 26 different patients were used in the validation study performed in 2010. Of 147 adult and 86 pediatric hemophilia A clinic patients active during the study period, 56 samples from 16 adults and 17 children underwent concurrent Bethesda assay and ELISA screen between November 2010 and June 2013. Since ELISA implementation, 389 ELISA screens and 187 Bethesda assays were performed. ELISA screens resulted in the avoidance of Bethesda assays in 85% (330/389) of samples submitted during that period. Specificities and positive predictive values were lower in the clinical sample due to a larger number of false positives (n=18; 32%) relative to the validation study (n=3; 9%), while sensitivity and negative predictive values remained at 100% (Table 1). Interestingly, 67% (2/3) of false positive ELISA screens in the laboratory setting had Bethesda positive histories; however, in the clinical sample, only 6% (1/18) had a distant history of inhibitors. ODs were available for all validation study samples and for 54 clinical samples. Redefinition of our OD cutoff to improve specificity was prevented by false positive patients with strongly positive ODs. Conclusions The ELISA screen used in this setting is highly sensitive for anti-factor VIII antibody detection in congenital hemophilia A. However, compared to pre-clinical data, our 2.5 years of clinical experience reveals a high incidence of false positives resulting in a significantly lower specificity. Our approximate cost savings in British Columbia as a result of avoided Bethesda assays due to ELISA screens (n=330) is $90 per test, and may exceed $200 per test in the United States. Additional testing and follow-up on positive ELISA results can be an inconvenience in both time and blood sampling, especially in the pediatric population where inhibitor status is more closely monitored. The cost ramifications of this follow up testing could not be quantified in this study. The potential implications for the detection of non-neutralizing anti-FVIII antibodies in hemophilia A need to be further explored and long-term study and monitoring of these discrepant patients is warranted. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.288
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2013
Admission routes2
Has abstractyes

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