Association between epicardial adipose parameters and microvascular obstruction following acute myocardial infarction based on CMR
10.19405/j.cnki.issn1000–1492.2026.04.015
- VernacularTitle:基于磁共振量化的心外膜脂肪参数与急性心肌梗死后微循环阻塞的相关性
- Author:
Wei CHENG
1
;
Yao LI
2
;
Ailian SHEN
3
;
Dan MU
4
;
Jinxuan ZHAO
5
Author Information
1. Dept of Colorectal Surgery，
2. Dept of Cardiology， Nanjing Drum Tower Hospital， Clinical College of Nanjing Medical University， Nanjing 210008
3. Dept of Radiology， Nanjing Drum Tower Hospital， Clinical College of Jiangsu University， Nanjing 210008
4. Dept of Radiology， Shanghai Tenth People's Hospital， The Affiliated of Tongji University， Shanghai 200072
5. Dept of Cardiology， Nanjing Drum Tower Hospital， The Affiliated Hospital of Nanjing University Medical School， Nanjing 210008
- Publication Type:Journal Article
- Keywords:
epicardial adipose tissue;
microvascular obstruction;
acute myocardial infarction;
cardiac magnetic resonance;
imaging biomarker
- From:
Acta Universitatis Medicinalis Anhui
2026;61(4):706-714
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo evaluate the predictive value of epicardial adipose tissue （EAT） parameters for microvascular obstruction （MVO） formation in patients with ST segment elevation myocardial infarction （STEMI） using cardiac magnetic resonance quantification. MethodsA total of 139 STEMI patients were included in this study， and various parameters such as EAT thickness， volume， and mass index were measured utilizing cardiac magnetic resonance. All included patients were divided into MVO group and non-MVO group according to whether MVO occurred. Differences in EAT related parameters between two groups were compared and correlation analysis was applied to evaluate the correlation between quantitative indicators of EAT and indicators such as infarct size and ejection fraction. Logistic regression analysis was used to identify the relevant risk factors for MVO formation. Receiver Operating Characteristic （ROC） curve analysis was performed to assess the predictive value of the epicardial adipose tissue （EAT） quality index and other indicators for the occurrence of MVO. ResultsCompared with non MVO group， patients in MVO group presented with higher peak troponin T levels， increase of neutrophil lymphocyte ratio （NLR） and C-reactive protein （CRP）， larger infarct size and compromised left ventricular ejection fraction （LVEF） （P<0.05）. Total EAT volume， EAT mass index， left atrioventricular EAT volume， left atrioventricular EAT mass index and thickness of EAT in the left atrioventricular groove were significantly higher in patients with MVO. Multivariate Logistic regression analysis demonstrated that NLR， peak troponin T levels and left atrioventricular EAT mass index were independent predictors of MVO. The ROC curve suggested that the left atrioventricular EAT mass index had the highest predictive power for MVO formation in STEMI patients. ConclusionThe parameters of EAT quantified by cardiac magnetic resonance serve as imaging biomarkers for predicting MVO formation in STEMI patients. These metrics enable risk stratification post-myocardial infarction and facilitate early identification of high-risk individuals， thereby supporting personalized therapeutic decision-making.
