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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4382132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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