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Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio

OBJECTIVE: Model trajectories of CD4(+) and CD8(+) cell counts after starting combination antiretroviral therapy (ART) and use the model to predict trends in these counts and the CD4(+) : CD8(+) ratio. DESIGN: Cohort study of antiretroviral-naïve HIV-positive adults who started ART after 1997 (ART C...

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Autores principales: Hughes, Rachael A., May, Margaret T., Tilling, Kate, Taylor, Ninon, Wittkop, Linda, Reiss, Peter, Gill, John, Schommers, Philipp, Costagliola, Dominique, Guest, Jodie L., Lima, Viviane D., d’Arminio Monforte, Antonella, Smith, Colette, Cavassini, Matthias, Saag, Michael, Castilho, Jessica L., Sterne, Jonathan A.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991182/
https://www.ncbi.nlm.nih.gov/pubmed/29851663
http://dx.doi.org/10.1097/QAD.0000000000001848
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author Hughes, Rachael A.
May, Margaret T.
Tilling, Kate
Taylor, Ninon
Wittkop, Linda
Reiss, Peter
Gill, John
Schommers, Philipp
Costagliola, Dominique
Guest, Jodie L.
Lima, Viviane D.
d’Arminio Monforte, Antonella
Smith, Colette
Cavassini, Matthias
Saag, Michael
Castilho, Jessica L.
Sterne, Jonathan A.C.
author_facet Hughes, Rachael A.
May, Margaret T.
Tilling, Kate
Taylor, Ninon
Wittkop, Linda
Reiss, Peter
Gill, John
Schommers, Philipp
Costagliola, Dominique
Guest, Jodie L.
Lima, Viviane D.
d’Arminio Monforte, Antonella
Smith, Colette
Cavassini, Matthias
Saag, Michael
Castilho, Jessica L.
Sterne, Jonathan A.C.
author_sort Hughes, Rachael A.
collection PubMed
description OBJECTIVE: Model trajectories of CD4(+) and CD8(+) cell counts after starting combination antiretroviral therapy (ART) and use the model to predict trends in these counts and the CD4(+) : CD8(+) ratio. DESIGN: Cohort study of antiretroviral-naïve HIV-positive adults who started ART after 1997 (ART Cohort Collaboration) with more than 6 months of follow-up data. METHODS: We jointly estimated CD4(+) and CD8(+) cell count trends and their correlation using a bivariate random effects model, with linear splines describing their population trends, and predicted the CD4(+) : CD8(+) ratio trend from this model. We assessed whether CD4(+) and CD8(+) cell count trends and the CD4(+) : CD8(+) ratio trend varied according to CD4(+) cell count at start of ART (baseline), and, whether these trends differed in patients with and without virological failure more than 6 months after starting ART. RESULTS: A total of 39 979 patients were included (median follow-up was 53 months). Among patients with baseline CD4(+) cell count at least 50 cells/μl, predicted mean CD8(+) cell counts continued to decrease between 3 and 15 years post-ART, partly driving increases in the predicted mean CD4(+) : CD8(+) ratio. During 15 years of follow-up, normalization of the predicted mean CD4(+) : CD8(+) ratio (to >1) was only observed among patients with baseline CD4(+) cell count at least 200 cells/μl. A higher baseline CD4(+) cell count predicted a shorter time to normalization. CONCLUSION: Declines in CD8(+) cell count and increases in CD4(+) : CD8(+) ratio occurred up to 15 years after starting ART. The likelihood of normalization of the CD4(+) : CD8(+) ratio is strongly related to baseline CD4(+) cell count.
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spelling pubmed-59911822018-06-19 Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio Hughes, Rachael A. May, Margaret T. Tilling, Kate Taylor, Ninon Wittkop, Linda Reiss, Peter Gill, John Schommers, Philipp Costagliola, Dominique Guest, Jodie L. Lima, Viviane D. d’Arminio Monforte, Antonella Smith, Colette Cavassini, Matthias Saag, Michael Castilho, Jessica L. Sterne, Jonathan A.C. AIDS Concise Communications OBJECTIVE: Model trajectories of CD4(+) and CD8(+) cell counts after starting combination antiretroviral therapy (ART) and use the model to predict trends in these counts and the CD4(+) : CD8(+) ratio. DESIGN: Cohort study of antiretroviral-naïve HIV-positive adults who started ART after 1997 (ART Cohort Collaboration) with more than 6 months of follow-up data. METHODS: We jointly estimated CD4(+) and CD8(+) cell count trends and their correlation using a bivariate random effects model, with linear splines describing their population trends, and predicted the CD4(+) : CD8(+) ratio trend from this model. We assessed whether CD4(+) and CD8(+) cell count trends and the CD4(+) : CD8(+) ratio trend varied according to CD4(+) cell count at start of ART (baseline), and, whether these trends differed in patients with and without virological failure more than 6 months after starting ART. RESULTS: A total of 39 979 patients were included (median follow-up was 53 months). Among patients with baseline CD4(+) cell count at least 50 cells/μl, predicted mean CD8(+) cell counts continued to decrease between 3 and 15 years post-ART, partly driving increases in the predicted mean CD4(+) : CD8(+) ratio. During 15 years of follow-up, normalization of the predicted mean CD4(+) : CD8(+) ratio (to >1) was only observed among patients with baseline CD4(+) cell count at least 200 cells/μl. A higher baseline CD4(+) cell count predicted a shorter time to normalization. CONCLUSION: Declines in CD8(+) cell count and increases in CD4(+) : CD8(+) ratio occurred up to 15 years after starting ART. The likelihood of normalization of the CD4(+) : CD8(+) ratio is strongly related to baseline CD4(+) cell count. Lippincott Williams & Wilkins 2018-06-19 2018-06-01 /pmc/articles/PMC5991182/ /pubmed/29851663 http://dx.doi.org/10.1097/QAD.0000000000001848 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle Concise Communications
Hughes, Rachael A.
May, Margaret T.
Tilling, Kate
Taylor, Ninon
Wittkop, Linda
Reiss, Peter
Gill, John
Schommers, Philipp
Costagliola, Dominique
Guest, Jodie L.
Lima, Viviane D.
d’Arminio Monforte, Antonella
Smith, Colette
Cavassini, Matthias
Saag, Michael
Castilho, Jessica L.
Sterne, Jonathan A.C.
Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio
title Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio
title_full Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio
title_fullStr Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio
title_full_unstemmed Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio
title_short Long terms trends in CD4(+) cell counts, CD8(+) cell counts, and the CD4(+) : CD8(+) ratio
title_sort long terms trends in cd4(+) cell counts, cd8(+) cell counts, and the cd4(+) : cd8(+) ratio
topic Concise Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991182/
https://www.ncbi.nlm.nih.gov/pubmed/29851663
http://dx.doi.org/10.1097/QAD.0000000000001848
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