CMR-quantified EAT entropy independently predicted ventricular arrhythmias (HR not specified) and atrial tachyarrhythmias with prediction models achieving AUCs of 0.872 and 0.917 respectively in post-MI patients over 31 months median follow-up.
Cohort (n=241)
No
Does CMR-quantified epicardial adipose tissue (EAT) entropy predict the occurrence of ventricular and atrial arrhythmias in post-myocardial infarction patients?
CMR-quantified epicardial adipose tissue entropy is a novel imaging biomarker that independently predicts the development of ventricular and atrial arrhythmias in post-myocardial infarction patients, offering incremental prognostic value beyond traditional metrics like LVEF.
Effect estimate: ROC AUC 0.872 for VAs prediction model; AUC 0.917 for AAs prediction model
p-value: p=<0.001
EAT heterogeneity, quantified by entropy, is an independent predictor of both VAs and AAs in post-MI patients. This novel imaging biomarker may enhance risk stratification and guide therapeutic strategies in this high-risk population.
Zhao et al. (Sat,) conducted a cohort in Post-myocardial infarction patients with identified myocardial scars on CMR, NYHA class ≤III, and no history of sustained ventricular or atrial arrhythmias (n=241). CMR-quantified epicardial adipose tissue (EAT) heterogeneity measured by entropy vs. Lower EAT entropy group was evaluated on Occurrence of ventricular arrhythmias (VAs) or atrial tachyarrhythmias (AAs) (ROC AUC 0.872 for VAs prediction model; AUC 0.917 for AAs prediction model, p=<0.001). CMR-quantified EAT entropy independently predicted ventricular arrhythmias (HR not specified) and atrial tachyarrhythmias with prediction models achieving AUCs of 0.872 and 0.917 respectively in post-MI patients over 31 months median follow-up.