基于心脏磁共振量化的心外膜脂肪在心肌梗死患者伴发房性心律失常中的研究

The Study of EAT Quantification Based on CMR in Patients withMyocardial Infarction Accompanied by Atrial Arrhythmias

目的 利用心脏磁共振(CMR)量化评价心肌梗死(MI)患者的心外膜脂肪(EAT),探讨其对MI患者伴发房性心律失常(AA)的预测价值。方法 搜集确诊的MI患者,使用CVI-42后处理软件获得心脏结构和功能参数,根据动态心电图结果将患者分为无AA组和AA组。结果 共纳入MI患者83例,其中AA组34例,无AA组49例。两组患者的EAT容积、左房容积、糖尿病、年龄、身体质量指数(BMI)、性别差异均有显著统计学意义(P<0.05),其中EAT容积、左房容积、BMI、糖尿病及年龄与MI患者发生AA呈正相关(r_(s)>0.3,P<0.05)。多因素Logistic回归和ROC曲线分析显示EAT容积对MI患者发生AA的预测效能最大(AUC=0.83,P<0.001)。结论AA组的EAT积聚较多,且在MI患者中,EAT是伴发AA的独立预测因素,具有良好的预测价值。

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 volume,BMI,diabetes,and age were positively correlated with the occurrence of AA in MI patients(r_(s)>0.3,P<0.05).Multifactorial 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 occurrence of AA and has good predictive value.