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Epicardial adipose tissue volume as a predictor for coronary artery disease in diabetic, impaired fasting glucose, and non-diabetic patients presenting with chest pain

机译:心外膜脂肪组织量可作为糖尿病,空腹血糖受损和非糖尿病患者胸痛的冠状动脉疾病的预测指标

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Aims: Epicardial adipose tissue (EAT) volume has been associated with coronary artery disease (CAD). As diabetes mellitus type 2 (DM2) patients have higher EAT volumes, it has been suggested that EAT may play a role in promoting CAD in these patients. The aim of this study was to examine the association between EAT and CAD in DM2, impaired fasting glucose (IFG) and control patients presenting with stable chest pain. Methods and results: A total of 410 stable chest pain patients underwent multidetector cardiac computed tomography angiography (CCTA) to assess the presence of CAD. The extent of CAD was expressed as the number of affected segments. The EAT volume was measured using three-dimensional volumetric quantification. The EAT was compared using ANOVA, logistic and linear regression models were used to assess its predictive value. Multivariable regression analysis corrected for traditional risk factors was performed. Eighty-three patients had DM2, 118 IFG and there were 209 controls. DM2 as well as IFG patients had higher EAT volumes compared with controls (98±41, 92±39, and 75±34 cm3, respectively; P 0.001). EAT predicted the presence (OR: 1.01; P 0.001) and the extent of CAD (B: 0.01; P 0.001). The associations were equal in all subgroups. However, in a multivariable regression model corrected for traditional cardiovascular risk factors, EAT was not an independent predictor for the presence or extent of CAD (OR: 1.00; P = 0.88 and B: -0.11; P = 0.68, respectively). Conclusion: The EAT volume is associated with CAD in DM2, IFG, and control patients. However, EAT is not an independent predictor for CAD in patients presenting with stable chest pain. Published on behalf of the European Society of Cardiology. All rights reserved.
机译:目的:心外膜脂肪组织(EAT)的体积与冠心病(CAD)相关。由于2型糖尿病(DM2)患者的EAT量较高,因此已表明EAT可能在这些患者中促进CAD。这项研究的目的是检查DM2中EAT和CAD,空腹血糖受损(IFG)受损和患有稳定胸痛的对照患者之间的关系。方法和结果:总共410名稳定的胸痛患者接受了多探测器心脏计算机断层扫描血管造影(CCTA),以评估CAD的存在。 CAD的程度表示为受影响区段的数量。使用三维体积定量测量EAT体积。使用方差分析比较EAT,使用逻辑和线性回归模型评估其预测价值。进行了校正传统危险因素的多变量回归分析。八十二例患者患有DM2,118 IFG,有209名对照。与对照组相比,DM2和IFG患者的EAT量更高(分别为98±41、92±39和75±34 cm3; P <0.001)。 EAT预测了其存在(OR:1.01; P <0.001)和CAD程度(B:0.01; P <0.001)。在所有亚组中,关联均相等。然而,在校正了传统心血管危险因素的多变量回归模型中,EAT并不是CAD的存在或程度的独立预测因子(OR:1.00; P = 0.88; B:-0.11; P = 0.68)。结论:饮食量与DM2,IFG和对照组患者的CAD相关。但是,对于患有稳定胸痛的患者,EAT并不是CAD的独立预测因子。代表欧洲心脏病学会出版。版权所有。

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