@article{QIMS20491,
author = {Yating Gao and Yuan-Cheng Wang and Chun-Qiang Lu and Chuhui Zeng and Di Chang and Shenghong Ju},
title = {Correlations between the abdominal fat-related parameters and severity of coronary artery disease assessed by computed tomography},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {8},
number = {6},
year = {2018},
keywords = {},
abstract = {Background: Obesity is considered a challenging public problem, which has been proven to be closely associated with coronary artery disease (CAD). Each risk factor of CAD has been separately studied many times in the past, but very few have comprehensively and quantitatively evaluated the relationship between the abdominal fat-related parameters and severity of CAD. The aim of this study was to analyze whether the abdominal fat-related parameters were associated with severity of CAD using abdominal non-enhanced computed tomography (NECT).
Methods: Patients who went through both abdominal NECT and invasive coronary angiography (ICA) were included and retrospectively analyzed. The abdominal fat-related parameters [the ratio of visceral adipose tissue to subcutaneous adipose tissue (VAT/SAT ratio)] and traditional cardiovascular risk factors were evaluated in the participants with or without obstructive CAD. The correlations between the abdominal fat-related parameters and severity of CAD were assessed, and the multivariable logistic regression analysis was performed to investigate the parameters that could be used to predict the severity of CAD.
Results: A total of 223 consecutive subjects (obstructive CAD group, n=117; non-obstructive CAD group, n=106) were analyzed. The VAT/SAT ratio was significantly higher (0.95±0.33 vs. 0.70±0.25, P},
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/20491}
}