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The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis
BACKGROUND: Whether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex. METHODS: We performed a systematic review of studies that explored pre-existing CVD and its tra...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ubiquity Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546112/ https://www.ncbi.nlm.nih.gov/pubmed/33150129 http://dx.doi.org/10.5334/gh.814 |
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author | Matsushita, Kunihiro Ding, Ning Kou, Minghao Hu, Xiao Chen, Mengkun Gao, Yumin Honda, Yasuyuki Zhao, Di Dowdy, David Mok, Yejin Ishigami, Junichi Appel, Lawrence J. |
author_facet | Matsushita, Kunihiro Ding, Ning Kou, Minghao Hu, Xiao Chen, Mengkun Gao, Yumin Honda, Yasuyuki Zhao, Di Dowdy, David Mok, Yejin Ishigami, Junichi Appel, Lawrence J. |
author_sort | Matsushita, Kunihiro |
collection | PubMed |
description | BACKGROUND: Whether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex. METHODS: We performed a systematic review of studies that explored pre-existing CVD and its traditional risk factors as risk factors of severe COVID-19 (defined as death, acute respiratory distress syndrome, mechanical ventilation, or intensive care unit admission). We searched PubMed and Embase for papers in English with original data (≥10 cases of severe COVID-19). Using random-effects models, we pooled relative risk (RR) estimates and conducted meta-regression analyses. RESULTS: Of the 661 publications identified in our search, 25 papers met our inclusion criteria, with 76,638 COVID-19 patients including 11,766 severe cases. Older age was consistently associated with severe COVID-19 in all eight eligible studies, with RR >~5 in >60–65 versus <50 years. Three studies showed no change in the RR of age after adjusting for covariate(s). In univariate analyses, factors robustly associated with severe COVID-19 were male sex (10 studies; pooled RR = 1.73, [95% CI 1.50–2.01]), hypertension (8 studies; 2.87 [2.09–3.93]), diabetes (9 studies; 3.20 [2.26–4.53]), and CVD (10 studies; 4.97 [3.76–6.58]). RR for male sex was likely to be independent of age. For the other three factors, meta-regression analyses suggested confounding by age. Only four studies reported multivariable analysis, but most of them showed adjusted RR ~2 for hypertension, diabetes, and CVD. No study explored renin-angiotensin system inhibitors as a risk factor for severe COVID-19. CONCLUSIONS: Despite the potential for confounding, these results suggest that hypertension, diabetes, and CVD are independently associated with severe COVID-19 and, together with age and male sex, can be informative for predicting the risk of severe COVID-19. |
format | Online Article Text |
id | pubmed-7546112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ubiquity Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75461122020-11-03 The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis Matsushita, Kunihiro Ding, Ning Kou, Minghao Hu, Xiao Chen, Mengkun Gao, Yumin Honda, Yasuyuki Zhao, Di Dowdy, David Mok, Yejin Ishigami, Junichi Appel, Lawrence J. Glob Heart Original Research BACKGROUND: Whether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex. METHODS: We performed a systematic review of studies that explored pre-existing CVD and its traditional risk factors as risk factors of severe COVID-19 (defined as death, acute respiratory distress syndrome, mechanical ventilation, or intensive care unit admission). We searched PubMed and Embase for papers in English with original data (≥10 cases of severe COVID-19). Using random-effects models, we pooled relative risk (RR) estimates and conducted meta-regression analyses. RESULTS: Of the 661 publications identified in our search, 25 papers met our inclusion criteria, with 76,638 COVID-19 patients including 11,766 severe cases. Older age was consistently associated with severe COVID-19 in all eight eligible studies, with RR >~5 in >60–65 versus <50 years. Three studies showed no change in the RR of age after adjusting for covariate(s). In univariate analyses, factors robustly associated with severe COVID-19 were male sex (10 studies; pooled RR = 1.73, [95% CI 1.50–2.01]), hypertension (8 studies; 2.87 [2.09–3.93]), diabetes (9 studies; 3.20 [2.26–4.53]), and CVD (10 studies; 4.97 [3.76–6.58]). RR for male sex was likely to be independent of age. For the other three factors, meta-regression analyses suggested confounding by age. Only four studies reported multivariable analysis, but most of them showed adjusted RR ~2 for hypertension, diabetes, and CVD. No study explored renin-angiotensin system inhibitors as a risk factor for severe COVID-19. CONCLUSIONS: Despite the potential for confounding, these results suggest that hypertension, diabetes, and CVD are independently associated with severe COVID-19 and, together with age and male sex, can be informative for predicting the risk of severe COVID-19. Ubiquity Press 2020-09-22 /pmc/articles/PMC7546112/ /pubmed/33150129 http://dx.doi.org/10.5334/gh.814 Text en Copyright: © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Matsushita, Kunihiro Ding, Ning Kou, Minghao Hu, Xiao Chen, Mengkun Gao, Yumin Honda, Yasuyuki Zhao, Di Dowdy, David Mok, Yejin Ishigami, Junichi Appel, Lawrence J. The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis |
title | The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis |
title_full | The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis |
title_fullStr | The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis |
title_full_unstemmed | The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis |
title_short | The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis |
title_sort | relationship of covid-19 severity with cardiovascular disease and its traditional risk factors: a systematic review and meta-analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546112/ https://www.ncbi.nlm.nih.gov/pubmed/33150129 http://dx.doi.org/10.5334/gh.814 |
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