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Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis
We examined the effects of coronary heart disease (CHD), hypertension and diabetes on the development of severe COVID-19. We performed a comprehensive, systematic literature search for studies published between December 2019 and July 5, 2020 in five databases. The prevalence of severe COVID-19 in pa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746376/ https://www.ncbi.nlm.nih.gov/pubmed/33199670 http://dx.doi.org/10.18632/aging.103991 |
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author | Meng, Meng Zhao, Qianwen Kumar, Rahul Bai, Chen Deng, Yunlei Wan, Bo |
author_facet | Meng, Meng Zhao, Qianwen Kumar, Rahul Bai, Chen Deng, Yunlei Wan, Bo |
author_sort | Meng, Meng |
collection | PubMed |
description | We examined the effects of coronary heart disease (CHD), hypertension and diabetes on the development of severe COVID-19. We performed a comprehensive, systematic literature search for studies published between December 2019 and July 5, 2020 in five databases. The prevalence of severe COVID-19 in patients with CHD, hypertension and diabetes was evaluated through a meta-analysis. Thirty-five articles with 8,170 patients were included, and all the available studies were case series. The pooled odds ratio for the development of severe COVID-19 was 3.21 for patients with CHD (fixed-effects model, 95% CI: 2.58-3.99), 2.27 for patients with hypertension (random-effects model, 95% CI: 1.79-2.90) and 2.34 for patients with diabetes (random-effects model, 95% CI: 1.79-3.05). The heterogeneity of the studies was moderate for the effect of CHD on COVID-19 severity, but was high for the effects of diabetes and hypertension. Funnel plots and Egger’s tests revealed no publication bias in the CHD and hypertension analyses, but suggested publication bias in the diabetes analysis. This bias was corrected using the trim-and-fill method, and was ultimately found to have no effect on the results. Our findings suggest patients with CHD, hypertension and diabetes are at greater risk for developing severe COVID-19 than those without these conditions. |
format | Online Article Text |
id | pubmed-7746376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-77463762021-01-04 Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis Meng, Meng Zhao, Qianwen Kumar, Rahul Bai, Chen Deng, Yunlei Wan, Bo Aging (Albany NY) Review We examined the effects of coronary heart disease (CHD), hypertension and diabetes on the development of severe COVID-19. We performed a comprehensive, systematic literature search for studies published between December 2019 and July 5, 2020 in five databases. The prevalence of severe COVID-19 in patients with CHD, hypertension and diabetes was evaluated through a meta-analysis. Thirty-five articles with 8,170 patients were included, and all the available studies were case series. The pooled odds ratio for the development of severe COVID-19 was 3.21 for patients with CHD (fixed-effects model, 95% CI: 2.58-3.99), 2.27 for patients with hypertension (random-effects model, 95% CI: 1.79-2.90) and 2.34 for patients with diabetes (random-effects model, 95% CI: 1.79-3.05). The heterogeneity of the studies was moderate for the effect of CHD on COVID-19 severity, but was high for the effects of diabetes and hypertension. Funnel plots and Egger’s tests revealed no publication bias in the CHD and hypertension analyses, but suggested publication bias in the diabetes analysis. This bias was corrected using the trim-and-fill method, and was ultimately found to have no effect on the results. Our findings suggest patients with CHD, hypertension and diabetes are at greater risk for developing severe COVID-19 than those without these conditions. Impact Journals 2020-11-16 /pmc/articles/PMC7746376/ /pubmed/33199670 http://dx.doi.org/10.18632/aging.103991 Text en Copyright: © 2020 Meng et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Review Meng, Meng Zhao, Qianwen Kumar, Rahul Bai, Chen Deng, Yunlei Wan, Bo Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis |
title | Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis |
title_full | Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis |
title_fullStr | Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis |
title_full_unstemmed | Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis |
title_short | Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis |
title_sort | impact of cardiovascular and metabolic diseases on the severity of covid-19: a systematic review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746376/ https://www.ncbi.nlm.nih.gov/pubmed/33199670 http://dx.doi.org/10.18632/aging.103991 |
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