Zhihong Gao, Yuqiang Zuo, Linyi Jia, Yuling Yin, Xu Yang, Lei Xu, Zengfang Hao
Health Examination Center, The Second Hospital of Hebei Medical University, Shijiazhuang, 050005, Hebei, People's Republic of China.
Radiology Department, Xingtai People's Hospital, Xingtai, 054031, Hebei, People's Republic of China.
Sci Rep. 2025 Jan 24;15(1):3015. doi: 10.1038/s41598-025-87594-4.
To investigate the correlation between the density and volume of epicardial adipose tissue(EAT)and acute coronary syndrome (ACS). This study included 355 subjects (mean age: 60.65 ± 9.67 years; 54.65% male), comprising 175 patients with ACS and 180 without ACS. Propensity score matching was applied to balance the variables between the two groups, resulting in 96 successfully matched pairs. Clinical data, epicardial adipose tissue volume (EATV), and epicardial adipose tissue density (EATD) were compared. Independent factors influencing ACS were identified using logistic regression analysis, and the predictive ability of each variable was evaluated using receiver operating characteristic (ROC) curves. Systolic blood pressure, EATV, EATD, fasting blood glucose, triglycerides, and high-sensitivity C-reactive protein were significantly elevated in the ACS group compared with the non-ACS group (all p < 0.05). Spearman correlation analysis revealed a moderate positive correlation between EATV and BMI (r = 0.444, p < 0.001), while EATD showed a weak negative correlation with age (r = -0.177, p = 0.014) and a weak positive correlation with EATV (r = 0.239, p = 0.001). Univariable regression analysis demonstrated that both EATV (OR: 2.018, 95% CI: 1.334-3.052) and EATD (OR: 5.341, 95% CI: 3.293-8.663) were associated with ACS. After adjusting for other risk factors, logistic regression model confirmed that EATV (adjusted OR: 1.892, 95%CI: 1.211-2.955) and EATD (adjusted OR: 6.942, 95%CI: 3.875-12.437) were independent predictors of ACS (both p < 0.001), with EATD showing the highest predictive value (AUC = 0.859). This study identifies a close relationship between EAT and ACS, highlighting EATD and EATV as independent influencing factors for ACS. Among them, EATD demonstrated a stronger predictive value for ACS than both traditional risk factors and EATV.
探讨心外膜脂肪组织（EAT）的密度和体积与急性冠状动脉综合征（ACS）之间的相关性。本研究纳入了355名受试者（平均年龄：60.65±9.67岁；54.65%为男性），其中包括175例ACS患者和180例非ACS患者。采用倾向评分匹配法平衡两组之间的变量，最终成功匹配96对。比较了临床资料、心外膜脂肪组织体积（EATV）和心外膜脂肪组织密度（EATD）。采用逻辑回归分析确定影响ACS的独立因素，并使用受试者工作特征（ROC）曲线评估每个变量的预测能力。与非ACS组相比，ACS组的收缩压、EATV、EATD、空腹血糖、甘油三酯和高敏C反应蛋白均显著升高（均p<0.05）。Spearman相关分析显示，EATV与BMI呈中度正相关（r=0.444，p<0.001），而EATD与年龄呈弱负相关（r=-0.177，p=0.014），与EATV呈弱正相关（r=0.239，p=0.001）。单因素回归分析表明，EATV（OR：2.018，95%CI：1.334-3.052）和EATD（OR：5.341，95%CI：3.293-8.663）均与ACS相关。在调整其他危险因素后，逻辑回归模型证实EATV（调整后OR：1.892，95%CI：1.211-2.955）和EATD（调整后OR：6.942，95%CI：3.875-12.437）是ACS的独立预测因素（均p<0.001），其中EATD的预测价值最高（AUC=0.859）。本研究确定了EAT与ACS之间的密切关系，强调EATD和EATV是ACS的独立影响因素。其中，EATD对ACS的预测价值高于传统危险因素和EATV。
