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Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study

BACKGROUND: Substantial reductions in adult mortality have been observed in South Africa since the mid-2000s, but there has been no formal evaluation of how much of this decline is attributable to the scale-up of antiretroviral treatment (ART), as previous models have not been calibrated to vital re...

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Autores principales: Johnson, Leigh F., May, Margaret T., Dorrington, Rob E., Cornell, Morna, Boulle, Andrew, Egger, Matthias, Davies, Mary-Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726614/
https://www.ncbi.nlm.nih.gov/pubmed/29232366
http://dx.doi.org/10.1371/journal.pmed.1002468
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author Johnson, Leigh F.
May, Margaret T.
Dorrington, Rob E.
Cornell, Morna
Boulle, Andrew
Egger, Matthias
Davies, Mary-Ann
author_facet Johnson, Leigh F.
May, Margaret T.
Dorrington, Rob E.
Cornell, Morna
Boulle, Andrew
Egger, Matthias
Davies, Mary-Ann
author_sort Johnson, Leigh F.
collection PubMed
description BACKGROUND: Substantial reductions in adult mortality have been observed in South Africa since the mid-2000s, but there has been no formal evaluation of how much of this decline is attributable to the scale-up of antiretroviral treatment (ART), as previous models have not been calibrated to vital registration data. We developed a deterministic mathematical model to simulate the mortality trends that would have been expected in the absence of ART, and with earlier introduction of ART. METHODS AND FINDINGS: Model estimates of mortality rates in ART patients were obtained from the International Epidemiology Databases to Evaluate AIDS–Southern Africa (IeDEA-SA) collaboration. The model was calibrated to HIV prevalence data (1997–2013) and mortality data from the South African vital registration system (1997–2014), using a Bayesian approach. In the 1985–2014 period, 2.70 million adult HIV-related deaths occurred in South Africa. Adult HIV deaths peaked at 231,000 per annum in 2006 and declined to 95,000 in 2014, a reduction of 74.7% (95% CI: 73.3%–76.1%) compared to the scenario without ART. However, HIV mortality in 2014 was estimated to be 69% (95% CI: 46%–97%) higher in 2014 (161,000) if the model was calibrated only to HIV prevalence data. In the 2000–2014 period, the South African ART programme is estimated to have reduced the cumulative number of HIV deaths in adults by 1.72 million (95% CI: 1.58 million–1.84 million) and to have saved 6.15 million life years in adults (95% CI: 5.52 million–6.69 million). This compares with a potential saving of 8.80 million (95% CI: 7.90 million–9.59 million) life years that might have been achieved if South Africa had moved swiftly to implement WHO guidelines (2004–2013) and had achieved high levels of ART uptake in HIV-diagnosed individuals from 2004 onwards. The model is limited by its reliance on all-cause mortality data, given the lack of reliable cause-of-death reporting, and also does not allow for changes over time in tuberculosis control programmes and ART effectiveness. CONCLUSIONS: ART has had a dramatic impact on adult mortality in South Africa, but delays in the rollout of ART, especially in the early stages of the ART programme, have contributed to substantial loss of life. This is the first study to our knowledge to calibrate a model of ART impact to population-level recorded death data in Africa; models that are not calibrated to population-level death data may overestimate HIV-related mortality.
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spelling pubmed-57266142017-12-22 Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study Johnson, Leigh F. May, Margaret T. Dorrington, Rob E. Cornell, Morna Boulle, Andrew Egger, Matthias Davies, Mary-Ann PLoS Med Research Article BACKGROUND: Substantial reductions in adult mortality have been observed in South Africa since the mid-2000s, but there has been no formal evaluation of how much of this decline is attributable to the scale-up of antiretroviral treatment (ART), as previous models have not been calibrated to vital registration data. We developed a deterministic mathematical model to simulate the mortality trends that would have been expected in the absence of ART, and with earlier introduction of ART. METHODS AND FINDINGS: Model estimates of mortality rates in ART patients were obtained from the International Epidemiology Databases to Evaluate AIDS–Southern Africa (IeDEA-SA) collaboration. The model was calibrated to HIV prevalence data (1997–2013) and mortality data from the South African vital registration system (1997–2014), using a Bayesian approach. In the 1985–2014 period, 2.70 million adult HIV-related deaths occurred in South Africa. Adult HIV deaths peaked at 231,000 per annum in 2006 and declined to 95,000 in 2014, a reduction of 74.7% (95% CI: 73.3%–76.1%) compared to the scenario without ART. However, HIV mortality in 2014 was estimated to be 69% (95% CI: 46%–97%) higher in 2014 (161,000) if the model was calibrated only to HIV prevalence data. In the 2000–2014 period, the South African ART programme is estimated to have reduced the cumulative number of HIV deaths in adults by 1.72 million (95% CI: 1.58 million–1.84 million) and to have saved 6.15 million life years in adults (95% CI: 5.52 million–6.69 million). This compares with a potential saving of 8.80 million (95% CI: 7.90 million–9.59 million) life years that might have been achieved if South Africa had moved swiftly to implement WHO guidelines (2004–2013) and had achieved high levels of ART uptake in HIV-diagnosed individuals from 2004 onwards. The model is limited by its reliance on all-cause mortality data, given the lack of reliable cause-of-death reporting, and also does not allow for changes over time in tuberculosis control programmes and ART effectiveness. CONCLUSIONS: ART has had a dramatic impact on adult mortality in South Africa, but delays in the rollout of ART, especially in the early stages of the ART programme, have contributed to substantial loss of life. This is the first study to our knowledge to calibrate a model of ART impact to population-level recorded death data in Africa; models that are not calibrated to population-level death data may overestimate HIV-related mortality. Public Library of Science 2017-12-12 /pmc/articles/PMC5726614/ /pubmed/29232366 http://dx.doi.org/10.1371/journal.pmed.1002468 Text en © 2017 Johnson 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
Johnson, Leigh F.
May, Margaret T.
Dorrington, Rob E.
Cornell, Morna
Boulle, Andrew
Egger, Matthias
Davies, Mary-Ann
Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study
title Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study
title_full Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study
title_fullStr Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study
title_full_unstemmed Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study
title_short Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study
title_sort estimating the impact of antiretroviral treatment on adult mortality trends in south africa: a mathematical modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726614/
https://www.ncbi.nlm.nih.gov/pubmed/29232366
http://dx.doi.org/10.1371/journal.pmed.1002468
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