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Causal associations between COVID-19 and Atrial Fibrillation: A bidirectional Mendelian randomization study
Xiaoyu Zhang; Biyan Wang; Di Liu; Jinxia Zhang; Qiuyue Tian; Xiaoni Meng; Jie Zhang; Haifeng Hou; Manshu Song; Wei Wang; Youxin Wang.
Afiliação
  • Xiaoyu Zhang; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University
  • Biyan Wang; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University
  • Di Liu; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University
  • Jinxia Zhang; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University
  • Qiuyue Tian; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University
  • Xiaoni Meng; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University
  • Jie Zhang; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University
  • Haifeng Hou; School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences
  • Manshu Song; School of Medical and Health Sciences, Edith Cowan University, Perth 60127, Australia
  • Wei Wang; School of Medical and Health Sciences, Edith Cowan University, Perth 60127, Australia
  • Youxin Wang; Capital medical university
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20174417
ABSTRACT
BackgroundObservational studies showed that coronavirus disease 2019 (COVID-19) attacks universally and its most menacing progression uniquely endangers the elderly with cardiovascular disease (CVD). Whether COVID-19 is causally related to increasing susceptibility and severity of atrial fibrillation (AF), the main form of CVD, remains still unknown. MethodsThe study aims to investigate the bidirectional causal relations of COVID-19 with AF using two-sample Mendelian randomization (MR) analysis. ResultsMR evidence suggested genetically predicted severe COVID-19 was significantly associated with higher risk of AF (odds ratio [OR], 1.041; 95% confidence interval (CI), 1.007-1.076; P = 0.017), while genetically predicted AF was not causally associated with severe COVID-19 (OR, 0.831; 95% CI, 1.619-1.115; P=0.217). There was limited evidence to support association of genetically proxied COVID-19 with risk of AF (OR, 1.051; 95% CI, 0.991-1.114; P=0.097), and vice versa (OR, 0.163; 95% CI, 0.004-6.790; P=0.341). MR-Egger indicated no evidence of pleiotropic bias. ConclusionOverall, severe COVID-19 may causally affect AF through independent biological pathway. Survivors from severe COVID-19 might be of high risk of AF in the future.
Licença
cc_no
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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