Objective This study utilized cardiac magnetic resonance(CMR)to quantify epicardial adipose tissue(EAT)in myocardial infarction(MI)patients and explored its predictive value for atrial arrhythmias(AA)in MI patients.Methods A total of 83 MI patients diagnosed from January 2022 to March 2023 were collected.CVI-42 post-processing software was used to obtain cardiac structural and functional parameters.Patients were grouped into non-AA group and AA group based on dynamic electrocardiogram results.Results Among the 83 included MI patients,there were 34 cases in the AA group and 49 cases in the non-AA group.There were significant statistical differences(P＜0.05)in EAT volume,left atrial volume,diabetes,age,body mass index(BMI),and gender between the two groups.EAT volume,left atrial vol-ume,BMI,diabetes,and age were positively correlated with the occurrence of AA in MI patients(r,＞0.3,P＜0.05).Mul-tifactorial logistic regression and ROC analysis demonstrated that EAT volume had the greatest predictive efficacy for AA in MI patients(AUC=0.83,P＜0.001).Conclusion In MI patients,EAT is an independent predictive factor for the oc-currence of AA and has good predictive value.
Myocardial infarctionAtrial arrhythmiasEpicardial adipose tissueCardiac magnetic resonance
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