Milanese Gianluca, Silva Mario, Bruno Livia, Goldoni Matteo, Benedetti Giorgio, Rossi Enrica, Ferrari Caterina, Grutta Ludovico La, Maffei Erica, Toia Patrizia, Forte Ernesto, Bonadonna Riccardo C, Sverzellati Nicola, Cademartiri Filippo
Division of Radiology, University of Parma, Parma, Italy; Department of Medicine and Surgery, University of Parma, Parma, Italy.
Department of Radiology, University of Palermo, Palermo, Italy.
Diagn Interv Radiol. 2019 Jan;25(1):35-41. doi: 10.5152/dir.2018.18037.
We aimed to assess the association between features of epicardial adipose tissue and demographic, morphometric and clinical data, in a large population of symptomatic patients with clinical indication to cardiac computed tomography (CT) angiography.
Epicardial fat volume (EFV) and adipose CT density of 1379 patients undergoing cardiac CT angiography (918 men, 66.6%; age range, 18-93 years; median age, 64 years) were semi-automatically quantified. Clinical variables were compared between diabetic and nondiabetic patients to assess potential differences in EFV and adipose CT density. Multiple regression models were calculated to find the clinical variables with a significant association with EFV and adipose CT density.
The median EFV in diabetic patients (112.87 mL) was higher compared with nondiabetic patients (82.62 mL; P < 0.001). The explanatory model of the multivariable analysis showed the strongest associations between EFV and BMI (β=0.442) and age (β=0.365). Significant yet minor association was found with sex (β=0.203), arterial hypertension (β=0.072), active smoking (β=0.068), diabetes (β=0.068), hypercholesterolemia (β=0.046) and cardiac height (β=0.118). The mean density of epicardial adipose tissue was associated with BMI (β=0.384), age (β=0.105), smoking (β=0.088), and diabetes (β=0.085).
In a large population of symptomatic patients, EFV is higher in diabetic patients compared with nondiabetic patients. Clinical variables are associated with quantitative features of epicardial fat.
我们旨在评估大量有症状且有心脏计算机断层扫描(CT)血管造影临床指征的患者中,心外膜脂肪组织特征与人口统计学、形态学和临床数据之间的关联。
对1379例接受心脏CT血管造影的患者(918例男性,占66.6%;年龄范围18 - 93岁;中位年龄64岁)的心外膜脂肪体积(EFV)和脂肪CT密度进行半自动定量分析。比较糖尿病患者和非糖尿病患者的临床变量,以评估EFV和脂肪CT密度的潜在差异。计算多元回归模型,以找出与EFV和脂肪CT密度有显著关联的临床变量。
糖尿病患者的中位EFV(112.87 mL)高于非糖尿病患者(82.62 mL;P < 0.001)。多变量分析的解释模型显示,EFV与体重指数(BMI)(β = 0.442)和年龄(β = 0.365)之间的关联最强。与性别(β = 0.203)、动脉高血压(β = 0.072)、当前吸烟(β = 0.068)、糖尿病(β = 0.068)、高胆固醇血症(β = 0.046)和心脏高度(β = 0.118)存在显著但较小的关联。心外膜脂肪组织的平均密度与BMI(β = 0.384)、年龄(β = 0.105)、吸烟(β = 0.0