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HIV infection and risk of COVID-19 mortality: A meta-analysis
BACKGROUND: This meta-analysis aimed to estimate the association of human immunodeficiency virus (HIV) infection and risk of coronavirus disease 2019 (COVID-19) mortality. METHODS: We systematically retrieved articles published on HIV infection and risk of COVID-19 mortality through PubMed, EMBase,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257842/ https://www.ncbi.nlm.nih.gov/pubmed/34190201 http://dx.doi.org/10.1097/MD.0000000000026573 |
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author | Dong, Yonghai Li, Zhongjian Ding, Sheng Liu, Shulong Tang, Zhiyuan Jia, Lina Liu, Jiahong Liu, Yun |
author_facet | Dong, Yonghai Li, Zhongjian Ding, Sheng Liu, Shulong Tang, Zhiyuan Jia, Lina Liu, Jiahong Liu, Yun |
author_sort | Dong, Yonghai |
collection | PubMed |
description | BACKGROUND: This meta-analysis aimed to estimate the association of human immunodeficiency virus (HIV) infection and risk of coronavirus disease 2019 (COVID-19) mortality. METHODS: We systematically retrieved articles published on HIV infection and risk of COVID-19 mortality through PubMed, EMBase, China National Knowledge Infrastructure, WanFang, and Chongqing VIP databases using a predefined search strategy from December 1, 2019 to January 31, 2021. Newcastle–Ottawa Scale (NOS) was used to assess the quality of the included studies. Cochran Q test and I(2) statistics were quantified to measure heterogeneity. Odds ratio (OR) and 95% confidence intervals (CI) were computed and displayed in the form of forest plots. Subgroup analysis was performed to explore the source of heterogeneity. Funnel plot, Begg test, and Egger test were used to assess potential publication bias. Stata software version 11.0 was used to analyze all the statistical data. RESULTS: We included 10 studies with 18,122,370 COVID-19 patients, of whom 41,113 were with HIV infection and 18,081,257 were without HIV infection. The pooled overall results suggested that people living with HIV infection had a higher risk of mortality from COVID-19 than those without HIV infection (OR = 1.252, 95% CI 1.027–1.524). Subgroup analysis showed that people living with HIV infection had a higher risk of COVID-19 mortality than those without HIV infection in the United States (OR = 1.520, 95% CI 1.252–1.845) and in South Africa (OR = 1.122, 95% CI 1.032–1.220); however, no significant association was found in the United Kingdom (OR = 0.878, 95% CI 0.657–1.174). CONCLUSION: Patients with HIV infection should be the emphasis population to prevent the risk of mortality during the clinical treatment of COVID-19 patients. |
format | Online Article Text |
id | pubmed-8257842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82578422021-07-08 HIV infection and risk of COVID-19 mortality: A meta-analysis Dong, Yonghai Li, Zhongjian Ding, Sheng Liu, Shulong Tang, Zhiyuan Jia, Lina Liu, Jiahong Liu, Yun Medicine (Baltimore) 4900 BACKGROUND: This meta-analysis aimed to estimate the association of human immunodeficiency virus (HIV) infection and risk of coronavirus disease 2019 (COVID-19) mortality. METHODS: We systematically retrieved articles published on HIV infection and risk of COVID-19 mortality through PubMed, EMBase, China National Knowledge Infrastructure, WanFang, and Chongqing VIP databases using a predefined search strategy from December 1, 2019 to January 31, 2021. Newcastle–Ottawa Scale (NOS) was used to assess the quality of the included studies. Cochran Q test and I(2) statistics were quantified to measure heterogeneity. Odds ratio (OR) and 95% confidence intervals (CI) were computed and displayed in the form of forest plots. Subgroup analysis was performed to explore the source of heterogeneity. Funnel plot, Begg test, and Egger test were used to assess potential publication bias. Stata software version 11.0 was used to analyze all the statistical data. RESULTS: We included 10 studies with 18,122,370 COVID-19 patients, of whom 41,113 were with HIV infection and 18,081,257 were without HIV infection. The pooled overall results suggested that people living with HIV infection had a higher risk of mortality from COVID-19 than those without HIV infection (OR = 1.252, 95% CI 1.027–1.524). Subgroup analysis showed that people living with HIV infection had a higher risk of COVID-19 mortality than those without HIV infection in the United States (OR = 1.520, 95% CI 1.252–1.845) and in South Africa (OR = 1.122, 95% CI 1.032–1.220); however, no significant association was found in the United Kingdom (OR = 0.878, 95% CI 0.657–1.174). CONCLUSION: Patients with HIV infection should be the emphasis population to prevent the risk of mortality during the clinical treatment of COVID-19 patients. Lippincott Williams & Wilkins 2021-07-02 /pmc/articles/PMC8257842/ /pubmed/34190201 http://dx.doi.org/10.1097/MD.0000000000026573 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | 4900 Dong, Yonghai Li, Zhongjian Ding, Sheng Liu, Shulong Tang, Zhiyuan Jia, Lina Liu, Jiahong Liu, Yun HIV infection and risk of COVID-19 mortality: A meta-analysis |
title | HIV infection and risk of COVID-19 mortality: A meta-analysis |
title_full | HIV infection and risk of COVID-19 mortality: A meta-analysis |
title_fullStr | HIV infection and risk of COVID-19 mortality: A meta-analysis |
title_full_unstemmed | HIV infection and risk of COVID-19 mortality: A meta-analysis |
title_short | HIV infection and risk of COVID-19 mortality: A meta-analysis |
title_sort | hiv infection and risk of covid-19 mortality: a meta-analysis |
topic | 4900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257842/ https://www.ncbi.nlm.nih.gov/pubmed/34190201 http://dx.doi.org/10.1097/MD.0000000000026573 |
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