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Published in: BMC Infectious Diseases 1/2011

Open Access 01-12-2011 | Research article

High specificity of line-immunoassay based algorithms for recent HIV-1 infection independent of viral subtype and stage of disease

Authors: Jörg Schüpbach, Leslie R Bisset, Stephan Regenass, Philippe Bürgisser, Meri Gorgievski, Ingrid Steffen, Corinne Andreutti, Gladys Martinetti, Cyril Shah, Sabine Yerly, Thomas Klimkait, Martin Gebhardt, Franziska Schöni-Affolter, Martin Rickenbach, the Swiss HIV Cohort Study

Published in: BMC Infectious Diseases | Issue 1/2011

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Abstract

Background

Serologic testing algorithms for recent HIV seroconversion (STARHS) provide important information for HIV surveillance. We have shown that a patient's antibody reaction in a confirmatory line immunoassay (INNO-LIATM HIV I/II Score, Innogenetics) provides information on the duration of infection. Here, we sought to further investigate the diagnostic specificity of various Inno-Lia algorithms and to identify factors affecting it.

Methods

Plasma samples of 714 selected patients of the Swiss HIV Cohort Study infected for longer than 12 months and representing all viral clades and stages of chronic HIV-1 infection were tested blindly by Inno-Lia and classified as either incident (up to 12 m) or older infection by 24 different algorithms. Of the total, 524 patients received HAART, 308 had HIV-1 RNA below 50 copies/mL, and 620 were infected by a HIV-1 non-B clade. Using logistic regression analysis we evaluated factors that might affect the specificity of these algorithms.

Results

HIV-1 RNA <50 copies/mL was associated with significantly lower reactivity to all five HIV-1 antigens of the Inno-Lia and impaired specificity of most algorithms. Among 412 patients either untreated or with HIV-1 RNA ≥50 copies/mL despite HAART, the median specificity of the algorithms was 96.5% (range 92.0-100%). The only factor that significantly promoted false-incident results in this group was age, with false-incident results increasing by a few percent per additional year. HIV-1 clade, HIV-1 RNA, CD4 percentage, sex, disease stage, and testing modalities exhibited no significance. Results were similar among 190 untreated patients.

Conclusions

The specificity of most Inno-Lia algorithms was high and not affected by HIV-1 variability, advanced disease and other factors promoting false-recent results in other STARHS. Specificity should be good in any group of untreated HIV-1 patients.
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Metadata
Title
High specificity of line-immunoassay based algorithms for recent HIV-1 infection independent of viral subtype and stage of disease
Authors
Jörg Schüpbach
Leslie R Bisset
Stephan Regenass
Philippe Bürgisser
Meri Gorgievski
Ingrid Steffen
Corinne Andreutti
Gladys Martinetti
Cyril Shah
Sabine Yerly
Thomas Klimkait
Martin Gebhardt
Franziska Schöni-Affolter
Martin Rickenbach
the Swiss HIV Cohort Study
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2011
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/1471-2334-11-254

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