Marina Cecelja, Cathryn M Lewis, Ajay M Shah, Phil Chowienczyk
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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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":30457,"journal":{"name":"JRSM Cardiovascular Disease","volume":"10 ","pages":"20480040211059374"},"PeriodicalIF":1.4000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619738/pdf/","citationCount":"5","resultStr":"{\"title\":\"Cardiovascular health and risk of hospitalization with COVID-19: A Mendelian Randomization study.\",\"authors\":\"Marina Cecelja, Cathryn M Lewis, Ajay M Shah, Phil Chowienczyk\",\"doi\":\"10.1177/20480040211059374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Susceptibility to and severity of COVID-19 is associated with risk factors for and presence of cardiovascular disease.</p><p><strong>Methods: </strong>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. 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引用次数: 5
摘要
背景:COVID-19的易感性和严重程度与心血管疾病的危险因素和存在相关。方法:我们进行了2个样本的孟德尔随机化,以确定血压(BP)、体重指数(BMI)、2型糖尿病(T2DM)和冠状动脉疾病(CAD)的存在是否与严重COVID-19的表现有因果关系。变异暴露的工具变量关联是根据最近发表的全基因组关联和荟萃分析研究(GWAS)和公开的汇总级GWAS数据确定的。最近的一项GWAS荟萃分析显示,实验室确诊的COVID-19的严重程度是根据住院/死亡的需要来确定的。我们还检查了反向因果关系,使用暴露作为诊断严重的COVID-19引起的心血管疾病。结果:我们没有发现心血管危险因素/疾病与严重的COVID-19之间存在因果关系的证据(与人群对照相比),也没有反向因果关系的证据。特别是,BP (COVID-19诊断的OR为1.00[95%可信区间(CI): 0.99-1.01, P = 0.604] /遗传预测的BP升高)和T2DM (COVID-19诊断的OR为1.02 [95% CI: 0.9-1.05, P = 0.927]的因果比值比(OR,通过反方差加权回归)接近一致,置信区间相对较窄。结论:观察性研究中报告的心血管危险因素/疾病与COVID-19住院之间的关联可能是由于社会经济因素和/或影响住院指征的因素的残留混淆。
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 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.