Epicardial Fat Area as a Distinct Predictor of Atrial Fibrillation Incidence and Intensity
Overview
Revise to clarify the relationship between EFA and LAVI, specifying if both are independent predictors.
Background
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, affecting millions globally and leading to serious complications such as thromboembolic events. The increasing prevalence of obesity is linked to a higher incidence of AF, making the understanding of risk factors like epicardial fat area crucial for prevention and management strategies.
Data Highlights
Parameter
AF Patients
SR Controls
p-value
EFA (cm²)
13.42 [9.06–17.72]
7.30 [5.29–9.32]
< 0.001
ROC AUC for EFA
0.836
ROC AUC for LAVI
0.812
Key Findings
The EFA was significantly higher in AF patients compared to sinus rhythm controls (p < 0.001).
EFA and LAVI were identified as independent factors associated with AF occurrence (odds ratios: 1.307 and 1.057, respectively).
AF severity correlated with increased EFA and LAVI in subgroup analyses.
Age, BMI, and LAVI were independent determinants of EFA.
ROC analysis indicated good predictive performance for EFA in identifying AF risk.
Clinical Implications
Suggest specific clinical practices or guidelines for incorporating EFA assessment.
Conclusion
Epicardial fat area is a significant predictor of atrial fibrillation incidence and severity, highlighting its potential role in risk assessment and management of AF.
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