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

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

JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)

ID	1195741
Author(s)	Schüpbach, Jörg; Bisset, Leslie R; Regenass, Stephan; Bürgisser, Philippe; Gorgievski, Meri; Steffen, Ingrid; Andreutti, Corinne; Martinetti, Gladys; Shah, Cyril; Yerly, Sabine; Klimkait, Thomas; Gebhardt, Martin; Schöni-Affolter, Franziska; Rickenbach, Martin; Swiss HIV Cohort Study; Barth, J; Battegay, M; Bernascon, E; Böni, J; Bucher, H C; Bürgisser, P; Burton-Jeangros, C; Calmy, A; Cavassini, M; Dubs, R; Egger, M; Elzi, L; Fehr, J; Fischer, M; Flepp, M; Francioli, P; Furrer, H; Fux, C A; Gorgievski, M; Günthard, H; Hasse, B; Hirsch, H H; Hirschel, B; Hösli, I; Kahlert, C; Kaiser, L; Keiser, O; Kind, C; Klimkait, T; Kovari, H; Ledergerber, B; Martinetti, G; Martinez de Tejada, B; Müller, N; Nadal, D; Pantaleo, G; Rauch, A; Regenass, S; Rickenbach, M; Rudin, C; Schmid, P; Schultze, D; Schöni-Affolter, F; Schüpbach, J; Speck, R; Taffé, P; Telenti, A; Trkola, A; Vernazza, P; von Wyl, V; Weber, R; Yerly, S
Author(s) at UniBasel	Bucher, Heiner Hösli-Krais, Irene M. Hirsch, Hans H. Klimkait, Thomas Battegay, Manuel E.
Year	2011
Title	High specificity of line-immunoassay based algorithms for recent HIV-1 infection independent of viral subtype and stage of disease
Journal	BMC infectious diseases
Volume	11
Pages / Article-Number	254
Keywords	Adult; Algorithms; Clinical Laboratory Techniques/ methods; Female; HIV Infections/ diagnosis; HIV-1/classification/genetics/immunology; Humans; Immunoassay; Male; RNA, Viral/blood; Sensitivity and Specificity; Virology/ methods
Abstract	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.
Publisher	BioMed Central
ISSN/ISBN	1471-2334
edoc-URL	http://edoc.unibas.ch/dok/A6005922
Full Text on edoc	No
Digital Object Identifier DOI	10.1186/1471-2334-11-254
PubMed ID	http://www.ncbi.nlm.nih.gov/pubmed/21943091
ISI-Number	WOS:000295776700001
Document type (ISI)	Journal Article

28/04/2024

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