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Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study

BACKGROUND: Susceptibility to and severity of COVID-19 is associated with risk factors for and presence of cardiovascular disease. METHODS: We performed a 2-sample Mendelian randomization to determine whether blood pressure (BP), body mass index (BMI), presence of type 2 diabetes (T2DM) and coronary...

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Autores principales: Cecelja, Marina, Lewis, Cathryn M., Shah, Ajay M., Chowienczyk, Phil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619738/
https://www.ncbi.nlm.nih.gov/pubmed/34840730
http://dx.doi.org/10.1177/20480040211059374
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author Cecelja, Marina
Lewis, Cathryn M.
Shah, Ajay M.
Chowienczyk, Phil
author_facet Cecelja, Marina
Lewis, Cathryn M.
Shah, Ajay M.
Chowienczyk, Phil
author_sort Cecelja, Marina
collection PubMed
description BACKGROUND: Susceptibility to and severity of COVID-19 is associated with risk factors for and presence of cardiovascular disease. METHODS: We performed a 2-sample Mendelian randomization to determine whether blood pressure (BP), body mass index (BMI), presence of type 2 diabetes (T2DM) and coronary artery disease (CAD) are causally related to presentation with severe COVID-19. Variant-exposure instrumental variable associations were determined from most recently published genome-wide association and meta-analysis studies (GWAS) with publicly available summary-level GWAS data. Variant-outcome associations were obtained from a recent GWAS meta-analysis of laboratory confirmed diagnosis of COVID-19 with severity determined according to need for hospitalization/death. We also examined reverse causality using exposure as diagnosis of severe COVID-19 causing cardiovascular disease. RESULTS: We found no evidence for a causal association of cardiovascular risk factors/disease with severe COVID-19 (compared to population controls), nor evidence of reverse causality. Causal odds ratios (OR, by inverse variance weighted regression) for BP (OR for COVID-19 diagnosis 1.00 [95% confidence interval (CI): 0.99–1.01, P = 0.604] per genetically predicted increase in BP) and T2DM (OR for COVID-19 diagnosis to that of genetically predicted T2DM 1.02 [95% CI: 0.9–1.05, P = 0.927], in particular, were close to unity with relatively narrow confidence intervals. CONCLUSION: The association between cardiovascular risk factors/disease with that of hospitalization with COVID-19 reported in observational studies could be due to residual confounding by socioeconomic factors and /or those that influence the indication for hospital admission.
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spelling pubmed-86197382021-11-27 Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study Cecelja, Marina Lewis, Cathryn M. Shah, Ajay M. Chowienczyk, Phil JRSM Cardiovasc Dis Original Research Article BACKGROUND: Susceptibility to and severity of COVID-19 is associated with risk factors for and presence of cardiovascular disease. METHODS: We performed a 2-sample Mendelian randomization to determine whether blood pressure (BP), body mass index (BMI), presence of type 2 diabetes (T2DM) and coronary artery disease (CAD) are causally related to presentation with severe COVID-19. Variant-exposure instrumental variable associations were determined from most recently published genome-wide association and meta-analysis studies (GWAS) with publicly available summary-level GWAS data. Variant-outcome associations were obtained from a recent GWAS meta-analysis of laboratory confirmed diagnosis of COVID-19 with severity determined according to need for hospitalization/death. We also examined reverse causality using exposure as diagnosis of severe COVID-19 causing cardiovascular disease. RESULTS: We found no evidence for a causal association of cardiovascular risk factors/disease with severe COVID-19 (compared to population controls), nor evidence of reverse causality. Causal odds ratios (OR, by inverse variance weighted regression) for BP (OR for COVID-19 diagnosis 1.00 [95% confidence interval (CI): 0.99–1.01, P = 0.604] per genetically predicted increase in BP) and T2DM (OR for COVID-19 diagnosis to that of genetically predicted T2DM 1.02 [95% CI: 0.9–1.05, P = 0.927], in particular, were close to unity with relatively narrow confidence intervals. CONCLUSION: The association between cardiovascular risk factors/disease with that of hospitalization with COVID-19 reported in observational studies could be due to residual confounding by socioeconomic factors and /or those that influence the indication for hospital admission. SAGE Publications 2021-11-19 /pmc/articles/PMC8619738/ /pubmed/34840730 http://dx.doi.org/10.1177/20480040211059374 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Cecelja, Marina
Lewis, Cathryn M.
Shah, Ajay M.
Chowienczyk, Phil
Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study
title Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study
title_full Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study
title_fullStr Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study
title_full_unstemmed Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study
title_short Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study
title_sort cardiovascular health and risk of hospitalization with covid-19: a mendelian randomization study
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619738/
https://www.ncbi.nlm.nih.gov/pubmed/34840730
http://dx.doi.org/10.1177/20480040211059374
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