Alcohol Consumption and Risk of Atrial Fibrillation: A Meta-Analysis

• Published in: Journal of the American College of Cardiology 2011-01, Vol.57 (4), p.427-436
• Main Authors: KODAMA, Satoru, SAITO, Kazumi, OHASHI, Yasuo, YAMADA, Nobuhiro, SONE, Hirohito, TANAKA, Shiro, HORIKAWA, Chika, SAITO, Aki, HEIANZA, Yoriko, ANASAKO, Yui, NISHIGAKI, Yukako, YACHI, Yoko, TADA IIDA, Kaoruko
• Format: Article
• Language: English
• Subjects: Alcohol Drinking - adverse effects; Alcohol use; Alcoholism; Atrial Fibrillation - epidemiology; Atrial Fibrillation - etiology; Atrial Fibrillation - physiopathology; Biological and medical sciences; Cardiac arrhythmia; Cardiac dysrhythmias; Cardiology; Cardiology. Vascular system; Cardiovascular disease; Case-Control Studies; Confidence Intervals; Consumption; Electrocardiography; Ethanol; Female; Heart; Hospitals; Humans; Incidence; Japan; Linear Models; Male; Medical records; Medical sciences; Mortality; Population; Risk Factors; Severity of Illness Index; Studies; Survival Analysis
• ISSN: 0735-1097; 1558-3597
• DOI: 10.1016/j.jacc.2010.08.641

The purpose of this meta-analysis is to summarize the estimated risk of atrial fibrillation (AF) related to alcohol consumption. Results from observational studies examining the relationship between alcohol consumption and AF are inconsistent. A systematic electronic search of Medline (January 1966 to December 2009) and Embase (January 1974 to December 2009) databases was conducted for studies using key words related to alcohol and AF. Studies were included if data on effect measures for AF associated with habitual alcohol intake were reported or could be calculated. The effect measures for AF for the highest versus lowest alcohol intake in individual studies were pooled with a variance-based method. Linear and spline regression analyses were conducted to quantify the relationship between alcohol intake and AF risk. Fourteen eligible studies were included in this meta-analysis. The pooled estimate of AF for the highest versus the lowest alcohol intake was 1.51 (95% confidence interval: 1.31 to 1.74). A linear regression model showed that the pooled estimate for an increment of 10 g per day alcohol intake was 1.08 (95% confidence interval: 1.05 to 1.10; R(2) = 0.43, p < 0.001). A spline regression model also indicated that the AF risk increased with increasing levels of alcohol consumption. Results of this meta-analysis suggest that not consuming alcohol is most favorable in terms of AF risk reduction.