Association Between Epicardial Atrioventricular Groove Fat Thickness and Prognosis of Patients With Dilated Cardiomyopathy
10.3969/j.issn.1000-3614.2025.05.003
- VernacularTitle:心外膜脂肪体积及房室沟脂肪厚度与扩张型心肌病预后的相关性研究
- Author:
Iokfai CHEANG
1
;
Xu ZHU
1
;
Qiang QU
1
;
Shengen LIAO
1
;
Huaxin YUAN
1
;
Gengmin LIANG
1
;
Jinjing SHI
1
;
Ziqi CHEN
1
;
Yanli ZHOU
1
;
Wenming YAO
1
;
Yi XU
1
;
Xinli LI
1
Author Information
1. 南京医科大学第一附属医院 江苏省人民医院 心血管内科 络病理论创新转化全国重点实验室,南京 210029
- Publication Type:Journal Article
- Keywords:
dilated cardiomyopathy;
epicardial adipose tissue;
atrioventricular groove fat thickness;
prognosis
- From:
Chinese Circulation Journal
2025;40(5):463-468
- CountryChina
- Language:Chinese
-
Abstract:
Objectives:To investigate the predictive value of epicardial fat volume(EFV)and atrioventricular groove fat thickness(AVGT)—morphological biomarkers of epicardial adipose tissue—for major adverse cardiovascular events(MACE)in patients with dilated cardiomyopathy(DCM).Methods:This study enrolled 216 DCM patients.EFV and AVGT were obtained from cardiac magnetic resonance imaging(CMR).Patients were divided into event-free group(n=142)and event group(n=74)based on MACE occurrence during follow-up.Receiver operating characteristic(ROC)curve analysis was used to determine optimal cutoff values.Survival differences were assessed using Kaplan-Meier analysis,Cox proportional hazards regression analysis was used to identify independent risk factors,and restricted cubic spline(RCS)models were used to evaluate dose-response relationships.Results:AVGT and EFV were significantly higher in the event group than in event-free group(both P<0.05).ROC analysis identified optimal MACE-predicting cutoffs as follows:AVGT≥7.74 mm(area under the curve[AUC]=0.57)and EFV≥78.6 ml(AUC=0.62).Kaplan-Meier analysis revealed significantly lower MACE-free survival rates in patients with AVGT≥7.74 mm and EFV≥78.6 ml(both P<0.05).Cox regression analysis confirmed that AVGT(HR=2.18,95%CI:1.34-3.54)and EFV(HR=1.81,95%CI:1.11-2.96)were independent MACE risk factors(both P<0.05)in this patient cohort.RCS models demonstrated the significant linear associations between EFV/AVGT and MACE risk(bothoverall P<0.05).Conclusions:EFV and AVGT,the non-invasive imaging biomarkers quantifying and characterizing fat distribution,are independently correlated with elevated MACE risk in DCM patients.These metrics serve as potential prognostic indicators,enriching risk stratification indicators for early identification of high-risk patients and guiding personalized medication strategies.
