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Micronutrients in HIV: A Bayesian Meta-Analysis

BACKGROUND: Approximately 28.5 million people living with HIV are eligible for treatment (CD4<500), but currently have no access to antiretroviral therapy. Reduced serum level of micronutrients is common in HIV disease. Micronutrient supplementation (MNS) may mitigate disease progression and mort...

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Autores principales: Carter, George M., Indyk, Debbie, Johnson, Matthew, Andreae, Michael, Suslov, Kathryn, Busani, Sudharani, Esmaeili, Aryan, Sacks, Henry S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382132/
https://www.ncbi.nlm.nih.gov/pubmed/25830916
http://dx.doi.org/10.1371/journal.pone.0120113
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author Carter, George M.
Indyk, Debbie
Johnson, Matthew
Andreae, Michael
Suslov, Kathryn
Busani, Sudharani
Esmaeili, Aryan
Sacks, Henry S.
author_facet Carter, George M.
Indyk, Debbie
Johnson, Matthew
Andreae, Michael
Suslov, Kathryn
Busani, Sudharani
Esmaeili, Aryan
Sacks, Henry S.
author_sort Carter, George M.
collection PubMed
description BACKGROUND: Approximately 28.5 million people living with HIV are eligible for treatment (CD4<500), but currently have no access to antiretroviral therapy. Reduced serum level of micronutrients is common in HIV disease. Micronutrient supplementation (MNS) may mitigate disease progression and mortality. OBJECTIVES: We synthesized evidence on the effect of micronutrient supplementation on mortality and rate of disease progression in HIV disease. METHODS: We searched MEDLINE, EMBASE, the Cochrane Central, AMED and CINAHL databases through December 2014, without language restriction, for studies of greater than 3 micronutrients versus any or no comparator. We built a hierarchical Bayesian random effects model to synthesize results. Inferences are based on the posterior distribution of the population effects; posterior distributions were approximated by Markov chain Monte Carlo in OpenBugs. PRINCIPAL FINDINGS: From 2166 initial references, we selected 49 studies for full review and identified eight reporting on disease progression and/or mortality. Bayesian synthesis of data from 2,249 adults in three studies estimated the relative risk of disease progression in subjects on MNS vs. control as 0.62 (95% credible interval, 0.37, 0.96). Median number needed to treat is 8.4 (4.8, 29.9) and the Bayes Factor 53.4. Based on data reporting on 4,095 adults reporting mortality in 7 randomized controlled studies, the RR was 0.84 (0.38, 1.85), NNT is 25 (4.3, ∞). CONCLUSIONS: MNS significantly and substantially slows disease progression in HIV+ adults not on ARV, and possibly reduces mortality. Micronutrient supplements are effective in reducing progression with a posterior probability of 97.9%. Considering MNS low cost and lack of adverse effects, MNS should be standard of care for HIV+ adults not yet on ARV.
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spelling pubmed-43821322015-04-09 Micronutrients in HIV: A Bayesian Meta-Analysis Carter, George M. Indyk, Debbie Johnson, Matthew Andreae, Michael Suslov, Kathryn Busani, Sudharani Esmaeili, Aryan Sacks, Henry S. PLoS One Research Article BACKGROUND: Approximately 28.5 million people living with HIV are eligible for treatment (CD4<500), but currently have no access to antiretroviral therapy. Reduced serum level of micronutrients is common in HIV disease. Micronutrient supplementation (MNS) may mitigate disease progression and mortality. OBJECTIVES: We synthesized evidence on the effect of micronutrient supplementation on mortality and rate of disease progression in HIV disease. METHODS: We searched MEDLINE, EMBASE, the Cochrane Central, AMED and CINAHL databases through December 2014, without language restriction, for studies of greater than 3 micronutrients versus any or no comparator. We built a hierarchical Bayesian random effects model to synthesize results. Inferences are based on the posterior distribution of the population effects; posterior distributions were approximated by Markov chain Monte Carlo in OpenBugs. PRINCIPAL FINDINGS: From 2166 initial references, we selected 49 studies for full review and identified eight reporting on disease progression and/or mortality. Bayesian synthesis of data from 2,249 adults in three studies estimated the relative risk of disease progression in subjects on MNS vs. control as 0.62 (95% credible interval, 0.37, 0.96). Median number needed to treat is 8.4 (4.8, 29.9) and the Bayes Factor 53.4. Based on data reporting on 4,095 adults reporting mortality in 7 randomized controlled studies, the RR was 0.84 (0.38, 1.85), NNT is 25 (4.3, ∞). CONCLUSIONS: MNS significantly and substantially slows disease progression in HIV+ adults not on ARV, and possibly reduces mortality. Micronutrient supplements are effective in reducing progression with a posterior probability of 97.9%. Considering MNS low cost and lack of adverse effects, MNS should be standard of care for HIV+ adults not yet on ARV. Public Library of Science 2015-04-01 /pmc/articles/PMC4382132/ /pubmed/25830916 http://dx.doi.org/10.1371/journal.pone.0120113 Text en © 2015 Carter 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Carter, George M.
Indyk, Debbie
Johnson, Matthew
Andreae, Michael
Suslov, Kathryn
Busani, Sudharani
Esmaeili, Aryan
Sacks, Henry S.
Micronutrients in HIV: A Bayesian Meta-Analysis
title Micronutrients in HIV: A Bayesian Meta-Analysis
title_full Micronutrients in HIV: A Bayesian Meta-Analysis
title_fullStr Micronutrients in HIV: A Bayesian Meta-Analysis
title_full_unstemmed Micronutrients in HIV: A Bayesian Meta-Analysis
title_short Micronutrients in HIV: A Bayesian Meta-Analysis
title_sort micronutrients in hiv: a bayesian meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382132/
https://www.ncbi.nlm.nih.gov/pubmed/25830916
http://dx.doi.org/10.1371/journal.pone.0120113
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