Journal Article

Meta-analysis of metabolic syndrome and its individual components with risk of atrial fibrillation in different populations

Chen, Chen, Cai, Wenting, Li, Jiayong, Liu, Chen, Xue, Ruicong, Dong, Yugang, Zheng, Ying, Xie, Zengshuo

2021

Overview

Background Recent studies have reported the effects of metabolic syndrome (MetS) and its components on atrial fibrillation (AF), but the results remain controversial. Therefore, we performed a meta-analysis to evaluate the relationship between MetS and AF risk. Methods Studies were searched from the Cochrane library, PubMed, and Embase databases through May 2020. Adjusted hazard ratios (HRs) and its corresponding 95% confidence intervals (CIs) were extracted and then pooled by using a random effects model. Results A total of 6 observational cohort studies were finally included. In the pooled analysis, MetS was associated with an increased risk of AF (HR 1.57; 95% CI 1.40–1.77; P  < 0.01). And the components of MetS including abdominal obesity (HR 1.37; 95% CI 1.36–1.38; P  < 0.01), elevated blood pressure (HR 1.56; 95% CI 1.46–1.66; P  < 0.01), elevated fasting glucose (HR 1.18; 95% CI 1.15–1.21; P  < 0.01) and low high density cholesterol (HDL) (HR 1.18; 95% CI 1.06–1.32; P  < 0.01) was also associated with an increased risk of AF, while high triglyceride (HR 0.99; 95% CI 0.87–1.11, P  = 0.82) was not. Conclusions Our present meta-analysis suggested that MetS, as well as its components including abdominal obesity, elevated blood pressure, elevated fasting glucose and low HDL cholesterol were associated with an increase in the risk of AF.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Abdomen / Angiology / Arrhythmias and Electrophysiology / Atrial fibrillation / Bias / Blood pressure / Blood Transfusion Medicine / Cardiac arrhythmia / Cardiac Surgery / Cardiology / Cardiovascular research / Cholesterol / Cohort analysis / Complications and side effects / Confidence intervals / Diabetes / Epidemiology / Fasting / Fibrillation / Glucose / High density lipoprotein / Internal Medicine / Laboratory testing / Medicine / Medicine & Public Health / Meta-analysis / Metabolic syndrome / Metabolic syndrome X / Obesity / Observational cohort study / Observational studies / Population / Population studies / Research Article / Risk factor / Risk factors / Sensitivity analysis / Statistical analysis