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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
CD4/CD8 ratio and CD8 counts predict CD4 response in HIV-1-infected drug naive and in patients on cART
Medicine (United States), Volume 95, No. 42, Article e5094, Year 2016
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Description
Plasma HIV viral load is related to declining CD4 lymphocytes. The extent to which CD8 cells, in addition to RNA viral load, predict the depletion of CD4 cells is not well characterized so far. We examine if CD8 cell count is a prognostic factor for CD4 cell counts during an HIV infection. A longitudinal analysis is conducted using data from the Swiss HIV cohort study collected between January 2000 and October 2014. Linear mixed regression models were applied to observations from HIV-1-infected treatment naive patients (NAIVE) and cARTtreated patients to predict the short-term evolution of CD4 cell counts. For each subgroup, it was quantified to which extent CD8 cell counts or CD4/CD8 ratios are prognostic factors for disease progression. In both subgroups, 2500 NAIVE and 8902 cART patients, past CD4 cells are positively (P<0.0001) and past viral load is negatively (P<0.0001) associated with the outcome. Including additionally past CD8 cell counts improves the fit significantly (P<0.0001) and increases the marginal explained variation 31.7% to 40.7% for the NAIVE and from 44.1% to 50.7% for the cART group. The past CD4/CD8 ratio (instead of the past CD8 level) is positively associated with the outcome, increasing the explained variation further to 41.8% for NAIVE and 51.9% for cART. © Copyright 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved.
Authors & Co-Authors
Ledergerber, Bruno
Switzerland, Zurich
Universitatsspital Zurich
Battegay, Manuel
Switzerland, Basel
Universitätsspital Basel
Bernasconi, Enos
Switzerland, Bellinzona
Ente Ospedaliero Cantonale
Cavassini, Matthias
Switzerland, Lausanne
Centre Hospitalier Universitaire Vaudois
Furrer, Hansjakob
Switzerland, Bern
University of Bern
Hoffmann, Matthias
Switzerland, St Gallen
Kantonsspital St.gallen
Rougemont, Mathieu
Switzerland, Geneva
Hôpitaux Universitaires de Genève
Günthard, Hüldrych Fritz
Switzerland, Zurich
Universitatsspital Zurich
Switzerland, Zurich
Universität Zürich
Held, Leonhard S.
Switzerland, Zurich
Universität Zürich
Aubert, Vincent
Unknown Affiliation
Böni, Jürg
Unknown Affiliation
Braun, Dominique Laurent
Unknown Affiliation
Bucher, Heíner C.C.
Unknown Affiliation
Burton-Jeangros, Claudine
Unknown Affiliation
Calmy, Alexandra L.
Unknown Affiliation
Dollenmaier, Guenter
Unknown Affiliation
Egger, Matthias
Unknown Affiliation
Elzi, Luigia
Unknown Affiliation
Fehr, Jan Sven
Unknown Affiliation
Fellay, Jacques
Unknown Affiliation
Fux, Christoph Andreas
Unknown Affiliation
Gorgievski, Meri
Unknown Affiliation
Haerry, David Hans Ulrich
Unknown Affiliation
Hasse, Barbara Katharina
Unknown Affiliation
Hirsch, Hans H.
Unknown Affiliation
Hösli, Irene Mathilde
Unknown Affiliation
Kahlert, Christian R.
Unknown Affiliation
Kaiser, Laurent K.
Unknown Affiliation
Keiser, Olivia
Unknown Affiliation
Klimkait, Thomas
Unknown Affiliation
Kouyos, Roger D.
Unknown Affiliation
Kovari, Helen
Unknown Affiliation
Martinetti, Gladys
Unknown Affiliation
Martínez de Tejada, Begoῆa
Unknown Affiliation
Marzolini, Catia
Unknown Affiliation
Metzner, Karin Jutta
Unknown Affiliation
Müller, Nicolas J.
Unknown Affiliation
Nadal, David
Unknown Affiliation
Nicca, Dunja
Unknown Affiliation
Pantaleo, Giuseppe P.
Unknown Affiliation
Rauch, Andri
Unknown Affiliation
Regenass, Stephan
Unknown Affiliation
Rudin, Christoph
Unknown Affiliation
Schöni-Affolter, Franziska
Unknown Affiliation
Schmid, Patrick
Unknown Affiliation
Speck, Roberto F.
Unknown Affiliation
Stöckle, Marcel
Unknown Affiliation
Tarr, Philip E.
Unknown Affiliation
Trkola, Alexandra
Unknown Affiliation
Vernazza, Pietro Luigi
Unknown Affiliation
Weber, Rainer
Unknown Affiliation
Yerly, Sabine T.B.D.
Unknown Affiliation
Statistics
Citations: 19
Authors: 52
Affiliations: 8
Identifiers
Doi:
10.1097/MD.0000000000005094
ISSN:
00257974
Research Areas
Infectious Diseases
Study Design
Cohort Study
Study Approach
Quantitative