A bidirectional Mendelian randomization analysis between COVID-19 and cardiac arrest.

Int J Environ Health Res

Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.

Published: January 2025

Epidemiological studies link COVID-19 to increased cardiac arrest (CA) risk, but causality remains unclear due to potential confounding factors in observational studies . We conducted a Mendelian randomization (MR) analysis using genome-wide association study (GWAS) data, employing COVID-19-associated single nucleotide polymorphisms (SNPs) with significance values smaller than 5 × 10⁻⁸. We calculated inverse-variance weighted (IVW) MR estimates and performed sensitivity analyses using MR methods robust to horizontal pleiotropy. Additionally, a reverse MR analysis was conducted using CA-associated SNPs with significance values smaller than 1 × 10⁻⁵. Results indicated that infected COVID-19 (OR = 1.12, 95% CI = 0.47-2.67,  = 0.79), hospitalized COVID-19 (OR = 1.02, 95% CI = 0.70-1.49,  = 0.920), and severe respiratory COVID-19 (OR = 0.99, 95% CI = 0.81-1.21,  = 0.945) did not causally influence CA risk. Reverse MR analysis also did not support a causal effect of CA on COVID-19. Thus, associations in observational studies may stem from shared biological factors or environmental confounding.

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http://dx.doi.org/10.1080/09603123.2024.2365304DOI Listing

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