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

Y Zheng, Z Xie, J Li, C Chen, W Cai, Y Dong… - BMC cardiovascular …, 2021 - Springer
Y Zheng, Z Xie, J Li, C Chen, W Cai, Y Dong, R Xue, C Liu
BMC cardiovascular disorders, 2021Springer
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 …
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.
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