Document Type
Journal Article
Publication Title
Nutrition, Metabolism and Cardiovascular Diseases
Volume
32
Issue
4
First Page
1001
Last Page
1009
PubMed ID
35086766
Publisher
Elsevier
School
School of Medical and Health Sciences / Centre for Precision Health
RAS ID
42776
Funders
Application and Evaluation of Active Health Cloud Platform in China, National Key R&D Program of China (2018YFC2000704), China-Australian Collaborative Grant (NSFC 81561128020-NHMRC APP1112767).
Grant Number
NHMRC Number : APP1112767
Grant Link
http://purl.org/au-research/grants/nhmrc/1112767
Abstract
Background and aims: Observational studies showed that coronavirus disease (2019) (COVID-19) attacks universally and its most menacing progression uniquely endangers the elderly with cardiovascular disease (CVD). The causal association between COVID-19 infection or its severity and susceptibility of atrial fibrillation (AF) remains unknown. Methods and results: The bidirectional causal relationship between COVID-19 (including COVID-19, hospitalized COVID-19 compared with not hospitalized COVID-19, hospitalized COVID-19 compared with the general population, and severe COVID-19) and AF are determined by using two-sample Mendelian randomization (MR) analysis. Genetically predicted severe COVID-19 was not significantly associated with the risk of AF [odds ratio (OR), 1.037; 95% confidence interval (CI), 1.005–1.071; P = 0.023, q = 0.115]. In addition, genetically predicted AF was also not causally associated with severe COVID-19 (OR, 0.993; 95% CI, 0.888–1.111; P = 0.905, q = 0.905). There was no evidence to support the association between genetically determined COVID-19 and the risk of AF (OR, 1.111; 95% CI, 0.971–1.272; P = 0.127, q = 0.318), and vice versa (OR, 1.016; 95% CI, 0.976–1.058; P = 0.430, q = 0.851). Besides, no significant association was observed for hospitalized COVID-19 with AF. MR-Egger analysis indicated no evidence of directional pleiotropy. Conclusion: Overall, this MR study provides no clear evidence that COVID-19 is causally associated with the risk of AF.
DOI
10.1016/j.numecd.2021.11.010
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Zhang, X., Wang, B., Geng, T., Liu, D., Tian, Q., Meng, X., ... & Wang, B. (2022). Causal associations between COVID-19 and Atrial Fibrillation: A bidirectional Mendelian randomization study. Nutrition, Metabolism and Cardiovascular Diseases, 32(4), 1001-1009. https://doi.org/10.1016/j.numecd.2021.11.010