1. High specificity of line-immunoassay based algorithms for recent HIV-1 infection independent of viral subtype and stage of disease
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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, J, Barth, M, Battegay, E, Bernascon, J, Böni, H C, Bucher, P, Bürgisser, C, Burton-Jeangros, A, Calmy, M, Cavassini, R, Dubs, M, Egger, L, Elzi, J, Fehr, M, Fischer, M, Flepp, P, Francioli, H, Furrer, C A, Fux, M, Gorgievski, H, Günthard, B, Hasse, H H, Hirsch, B, Hirschel, I, Hösli, C, Kahlert, L, Kaiser, O, Keiser, C, Kind, T, Klimkait, H, Kovari, B, Ledergerber, G, Martinetti, B, Martinez de Tejada, N, Müller, D, Nadal, G, Pantaleo, A, Rauch, S, Regenass, M, Rickenbach, C, Rudin, P, Schmid, D, Schultze, F, Schöni-Affolter, J, Schüpbach, R, Speck, P, Taffé, A, Telenti, A, Trkola, P, Vernazza, V, von Wyl, R, Weber, S, Yerly, 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., 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., University of Zurich, and Schüpbach, J
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Adult ,Male ,10028 Institute of Medical Virology ,medicine.medical_specialty ,HIV Infections ,610 Medicine & health ,Disease ,Logistic regression ,Sensitivity and Specificity ,lcsh:Infectious and parasitic diseases ,Algorithms ,Clinical Laboratory Techniques/methods ,Female ,HIV Infections/diagnosis ,HIV-1/classification ,HIV-1/genetics ,Humans ,Immunoassay ,RNA, Viral/blood ,Virology/methods ,Serology ,10234 Clinic for Infectious Diseases ,Medical microbiology ,Antigen ,Virology ,medicine ,lcsh:RC109-216 ,ddc:616 ,biology ,Clinical Laboratory Techniques ,virus diseases ,2725 Infectious Diseases ,Infectious Diseases ,Parasitology ,Immunology ,HIV-1 ,10033 Clinic for Immunology ,biology.protein ,RNA, Viral ,570 Life sciences ,Antibody ,Algorithm ,Research Article ,Cohort study - 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 (INNOLIA TM 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
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