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CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data

BACKGROUND: We describe CD4 count recovery among HIV positive individuals who initiated antiretroviral therapy (ART) with and without severe immune suppression using complete laboratory data from South Africa’s national HIV treatment programme between 2010 and 2014 and discuss implications for CD4 c...

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Autores principales: Kufa, Tendesayi, Shubber, Zara, MacLeod, William, Takuva, Simbarashe, Carmona, Sergio, Bor, Jacob, Gorgens, Marelize, Pillay, Yogan, Puren, Adrian, Eaton, Jeffrey W., Fraser-Hurt, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544279/
https://www.ncbi.nlm.nih.gov/pubmed/31150489
http://dx.doi.org/10.1371/journal.pone.0217742
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author Kufa, Tendesayi
Shubber, Zara
MacLeod, William
Takuva, Simbarashe
Carmona, Sergio
Bor, Jacob
Gorgens, Marelize
Pillay, Yogan
Puren, Adrian
Eaton, Jeffrey W.
Fraser-Hurt, Nicole
author_facet Kufa, Tendesayi
Shubber, Zara
MacLeod, William
Takuva, Simbarashe
Carmona, Sergio
Bor, Jacob
Gorgens, Marelize
Pillay, Yogan
Puren, Adrian
Eaton, Jeffrey W.
Fraser-Hurt, Nicole
author_sort Kufa, Tendesayi
collection PubMed
description BACKGROUND: We describe CD4 count recovery among HIV positive individuals who initiated antiretroviral therapy (ART) with and without severe immune suppression using complete laboratory data from South Africa’s national HIV treatment programme between 2010 and 2014 and discuss implications for CD4 count monitoring. METHODS: Retrospective analysis of routinely collected laboratory data from South Africa’s National Health Laboratory Service (NHLS). A probabilistic record linkage algorithm was used to create a cohort of HIV positive individuals who initiated ART between 2010 and 2014 based on timing of CD4 count and viral load measurements. A CD4 count < 50 copies/μl at ART initiation was considered severe immunosuppression. A multivariable piecewise mixed-effects linear regression model adjusting for age, gender, year of starting ART, viral suppression in follow up and province was used to predict CD4 counts during follow up. RESULTS: 1,070,900 individuals had evidence of starting ART during 2010–2014 and met the criteria for inclusion in the cohort -46.6% starting ART with CD4 < 200 cells/μl and 10.1% with CD4 < 50 cells/ μl. For individuals with CD4 counts < 200 cells/μl, predicted CD4 counts > 200 cells/μl, >350 cells/μl and >500 cells/μl corresponded with mean follow up durations of 1.5 years (standard deviation [s.d] 1.1), 1.9years (s.d 1.2) and 2.1 years (s.d 1.3 years). For those with CD4 counts < 50 cells/μl, predicted CD4 count above these threshold corresponded with mean follow up durations of 2.5 years (s.d 0.9 years), 4.4 years (s.d 0.4 years) and 5.0 years (s.d 0.1years) for recovery to the same thresholds. CD4 count recovery varied mostly with duration on ART, CD4 count at the start of ART and gender. CONCLUSION: For individuals starting with ART with severe immunosuppression, CD4 recovery to 200cells/μl did not occur or took longer than 12 month for significant proportions. CD4 monitoring and interventions recommended for advanced HIV disease should continue until full recovery.
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spelling pubmed-65442792019-06-17 CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data Kufa, Tendesayi Shubber, Zara MacLeod, William Takuva, Simbarashe Carmona, Sergio Bor, Jacob Gorgens, Marelize Pillay, Yogan Puren, Adrian Eaton, Jeffrey W. Fraser-Hurt, Nicole PLoS One Research Article BACKGROUND: We describe CD4 count recovery among HIV positive individuals who initiated antiretroviral therapy (ART) with and without severe immune suppression using complete laboratory data from South Africa’s national HIV treatment programme between 2010 and 2014 and discuss implications for CD4 count monitoring. METHODS: Retrospective analysis of routinely collected laboratory data from South Africa’s National Health Laboratory Service (NHLS). A probabilistic record linkage algorithm was used to create a cohort of HIV positive individuals who initiated ART between 2010 and 2014 based on timing of CD4 count and viral load measurements. A CD4 count < 50 copies/μl at ART initiation was considered severe immunosuppression. A multivariable piecewise mixed-effects linear regression model adjusting for age, gender, year of starting ART, viral suppression in follow up and province was used to predict CD4 counts during follow up. RESULTS: 1,070,900 individuals had evidence of starting ART during 2010–2014 and met the criteria for inclusion in the cohort -46.6% starting ART with CD4 < 200 cells/μl and 10.1% with CD4 < 50 cells/ μl. For individuals with CD4 counts < 200 cells/μl, predicted CD4 counts > 200 cells/μl, >350 cells/μl and >500 cells/μl corresponded with mean follow up durations of 1.5 years (standard deviation [s.d] 1.1), 1.9years (s.d 1.2) and 2.1 years (s.d 1.3 years). For those with CD4 counts < 50 cells/μl, predicted CD4 count above these threshold corresponded with mean follow up durations of 2.5 years (s.d 0.9 years), 4.4 years (s.d 0.4 years) and 5.0 years (s.d 0.1years) for recovery to the same thresholds. CD4 count recovery varied mostly with duration on ART, CD4 count at the start of ART and gender. CONCLUSION: For individuals starting with ART with severe immunosuppression, CD4 recovery to 200cells/μl did not occur or took longer than 12 month for significant proportions. CD4 monitoring and interventions recommended for advanced HIV disease should continue until full recovery. Public Library of Science 2019-05-31 /pmc/articles/PMC6544279/ /pubmed/31150489 http://dx.doi.org/10.1371/journal.pone.0217742 Text en © 2019 Kufa et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kufa, Tendesayi
Shubber, Zara
MacLeod, William
Takuva, Simbarashe
Carmona, Sergio
Bor, Jacob
Gorgens, Marelize
Pillay, Yogan
Puren, Adrian
Eaton, Jeffrey W.
Fraser-Hurt, Nicole
CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data
title CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data
title_full CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data
title_fullStr CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data
title_full_unstemmed CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data
title_short CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data
title_sort cd4 count recovery and associated factors among individuals enrolled in the south african antiretroviral therapy programme: an analysis of national laboratory based data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544279/
https://www.ncbi.nlm.nih.gov/pubmed/31150489
http://dx.doi.org/10.1371/journal.pone.0217742
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