ArticleWorld journal of emergency medicine2025
A two-sample Mendelian randomization study on the relationship of body weight, body mass index, and waist circumference with cardiac arrest.
Article in World journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThis study aims to explore the causal relationship of body weight, body mass index (BMI), and waist circumference (WC) with the risk of cardiac arrest (CA) using two-sample Mendelian randomization (MR).
methodsData were summarized using genome-wide association studies (GWAS). Two-sample MR analyses were performed using the inverse variance weighting (IVW) method, the weighted median method, and the MR-Egger analysis. Heterogeneity test and sensitivity analysis were performed using Cochran's Q test and the leave-one-out method, respectively. The Steiger test was used to detect reverse causality. Bayesian model-averaged MR was used to identify the most influential risk factors.
resultsA total of 13 GWAS data were collected for BMI, body weight and WC. IVW analyses showed a positive correlation of body weight, BMI, and WC with CA (all OR>1 and
conclusionBody weight, BMI, and WC are causally associated with an increased risk of CA, with WC identified as the most important risk factor.
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