edoc

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

Schüpbach, Jörg and Bisset, Leslie R. and Regenass, Stephan and Bürgisser, Philippe and Gorgievski, Meri and Steffen, Ingrid and Andreutti, Corinne and Martinetti, Gladys and Shah, Cyril and Yerly, Sabine and Klimkait, Thomas and Gebhardt, Martin and Schöni-Affolter, Franziska and Rickenbach, Martin and Swiss HIV Cohort Study, and Barth, J. and Battegay, M. and Bernascon, E. and Böni, J. and Bucher, H. C. and Bürgisser, P. and Burton-Jeangros, C. and Calmy, A. and Cavassini, M. and Dubs, R. and Egger, M. and Elzi, L. and Fehr, J. and Fischer, M. and Flepp, M. and Francioli, P. and Furrer, H. and Fux, C. A. and Gorgievski, M. and Günthard, H. and Hasse, B. and Hirsch, H. H. and Hirschel, B. and Hösli, I. and Kahlert, C. and Kaiser, L. and Keiser, O. and Kind, C. and Klimkait, T. and Kovari, H. and Ledergerber, B. and Martinetti, G. and Martinez de Tejada, B. and Müller, N. and Nadal, D. and Pantaleo, G. and Rauch, A. and Regenass, S. and Rickenbach, M. and Rudin, C. and Schmid, P. and Schultze, D. and Schöni-Affolter, F. and Schüpbach, J. and Speck, R. and Taffé, P. and Telenti, A. and Trkola, A. and Vernazza, P. and von Wyl, V. and Weber, R. and Yerly, S.. (2011) High specificity of line-immunoassay based algorithms for recent HIV-1 infection independent of viral subtype and stage of disease. BMC infectious diseases, Vol. 11 , 254. p. 254.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A6005922

Downloads: Statistics Overview

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-LIA 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 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.
Faculties and Departments:03 Faculty of Medicine > Departement Klinische Forschung > Clinical Epidemiology and Biostatistics CEB > Klinische Epidemiologie (Bucher H)
03 Faculty of Medicine > Departement Biomedizin > Department of Biomedicine, University Hospital Basel > Infection Biology (Khanna)
03 Faculty of Medicine > Bereich Spezialfächer (Klinik) > Gynäkologie und Geburtshilfe > Geburtshilfe (Hösli-Krais)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Spezialfächer (Klinik) > Gynäkologie und Geburtshilfe > Geburtshilfe (Hösli-Krais)
03 Faculty of Medicine > Departement Biomedizin > Division of Medical Microbiology > Transplantation Virology (Hirsch)
03 Faculty of Medicine > Departement Biomedizin > Division of Medical Microbiology > Molecular Virology (Klimkait)
UniBasel Contributors:Bucher, Heiner C. and Hösli-Krais, Irene M. and Klimkait, Thomas and Hirsch, Hans H. and Battegay, Manuel E.
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:BioMed Central
ISSN:1471-2334
Note:Publication type according to Uni Basel Research Database: Journal article
Related URLs:
Identification Number:
Last Modified:08 May 2015 08:44
Deposited On:06 Dec 2013 09:36

Repository Staff Only: item control page