Journal article
Evaluating the utility of a two-assay serological algorithm for hepatitis C screening in a low prevalence population
Journal of clinical laboratory analysis, Vol.37(7), e24887
04/2023
DOI: 10.1002/jcla.24887
PMCID: PMC10220299
PMID: 37106580
Abstract
Screening for hepatitis C virus (HCV) is performed by testing for anti-HCV antibodies, which may yield false-positive results leading to additional testing and other downstream consequences for the patient. We report our experience in a low prevalence population (<0.05%) using a two-assay algorithm aimed at testing specimens with borderline or weak positive anti-HCV reactivity in the screening assay by a second anti-HCV assay prior to confirming positive anti-HCV results with RT-PCR.
Retrospective analysis of 58,908 plasma samples was obtained over a 5-year period. Samples were initially tested using the Elecsys Anti-HCV II assay (Roche Diagnostics), with borderline or weakly positive results (defined in our algorithm as a Roche cutoff index of 0.9-19.99) reflexively analyzed using the Architect Anti-HCV assay (Abbott Diagnostics). The Abbott anti-HCV results dictated the final anti-HCV interpretation for reflexed samples.
Our testing algorithm resulted in 180 samples requiring second-line testing, with final anti-HCV results interpreted as 9% positive, 87% negative, and 4% indeterminate. The positive predictive value (PPV) of a weakly positive Roche result was 12%, which was significantly lower than the PPV using our two-assay approach (65%).
The incorporation of a two-assay serological testing algorithm in a low prevalence population provides a cost-effective method of improving the PPV of HCV screening in specimens with borderline or weakly positive anti-HCV results.
Details
- Title: Subtitle
- Evaluating the utility of a two-assay serological algorithm for hepatitis C screening in a low prevalence population
- Creators
- Kai J Rogers - University of IowaTracy S Halvorson - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USAMatthew D Krasowski - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USAAnna E Merrill - Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
- Resource Type
- Journal article
- Publication Details
- Journal of clinical laboratory analysis, Vol.37(7), e24887
- DOI
- 10.1002/jcla.24887
- PMID
- 37106580
- PMCID
- PMC10220299
- NLM abbreviation
- J Clin Lab Anal
- ISSN
- 0887-8013
- eISSN
- 1098-2825
- Language
- English
- Electronic publication date
- 04/27/2023
- Date published
- 04/2023
- Academic Unit
- Microbiology and Immunology; Pathology; Injury Prevention Research Center
- Record Identifier
- 9984399499202771
Metrics
10 Record Views