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心外膜脂肪组织与冠状动脉疾病和冠状动脉粥样硬化的关联。

The associations of epicardial adipose tissue with coronary artery disease and coronary atherosclerosis.

作者信息

Kim Se-Hong, Chung Ju-Hye, Kwon Beom-June, Song Sang-Wook, Choi Whan-Seok

机构信息

Department of Family Medicine, College of Medicine, The Catholic University of Korea.

出版信息

Int Heart J. 2014;55(3):197-203. doi: 10.1536/ihj.13-303. Epub 2014 May 7.

Abstract

Epicardial adipose tissue (EAT) is presumed to play an important role in the development of coronary artery disease (CAD). The purpose of our study was to examine the influence of EAT volume measured by cardiac CT on the severity and presence of CAD. A total of 209 subjects (114 normal subjects and 95 patients with CAD) underwent cardiac and abdominal computed tomography (CT) scan before diagnostic coronary angiography. Pixels with a threshold range of -190 to -30 Hounsfield units were identified as EAT. CAGE ≥ 20, CAGE ≥ 50, and modified Gensini index were used to define the extent and severity of CAD. While there was no significant difference in BMI and WC between the two groups, the mean EAT volume was higher in the CAD group than in the normal subjects (102.4 ± 41.87 cm(3) versus 125.36 ± 47.64 cm(3), P < 0.001). EAT was significantly associated with CAGE ≥ 20, CAGE ≥ 50, and Gensini score by linear regression analyses after adjusting for age, gender, smoking, and alcohol use. The severity of CAD increased linearly with each tertile increase in EAT volume (P for trend < 0.05). Similarly, the coronary artery calcium (CAC) score was also increased with each increase in EAT tertile (P = 0.002). In multivariate logistic regression models, EAT and VAT were significantly associated with the presence of CAD and CAC in age, gender, smoking, alcohol use, and BMI adjusted models. In conclusion, EAT volume measured by CT is associated with the presence and severity of CAD. EAT may give important information for risk evaluation in CAD.

摘要

心外膜脂肪组织(EAT)被认为在冠状动脉疾病(CAD)的发展中起重要作用。我们研究的目的是探讨心脏CT测量的EAT体积对CAD严重程度和存在情况的影响。在进行诊断性冠状动脉造影之前,共有209名受试者(114名正常受试者和95名CAD患者)接受了心脏和腹部计算机断层扫描(CT)。阈值范围为-190至-30亨氏单位的像素被识别为EAT。采用CAGE≥20、CAGE≥50和改良的Gensini指数来定义CAD的范围和严重程度。虽然两组之间的BMI和腰围没有显著差异,但CAD组的平均EAT体积高于正常受试者(102.4±41.87 cm³对125.36±47.64 cm³,P<0.001)。在调整年龄、性别、吸烟和饮酒因素后,通过线性回归分析发现EAT与CAGE≥20、CAGE≥50和Gensini评分显著相关。CAD的严重程度随着EAT体积每增加一个三分位数而呈线性增加(趋势P<0.05)。同样,冠状动脉钙化(CAC)评分也随着EAT三分位数的每一次增加而增加(P=0.002)。在多变量逻辑回归模型中,在调整年龄、性别、吸烟、饮酒和BMI的模型中,EAT和内脏脂肪组织(VAT)与CAD和CAC的存在显著相关。总之,CT测量的EAT体积与CAD的存在和严重程度相关。EAT可能为CAD的风险评估提供重要信息。

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