Correlations between the abdominal fat-related parameters and severity of coronary artery disease assessed by

Yating Gao1, Yuan-Cheng Wang1, Chun-Qiang Lu1

  • 1Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.

Insights

The ratio of visceral to subcutaneous adipose tissue (VAT/SAT), nonalcoholic fatty liver disease (NAFLD), and abdominal aortic calcification (AAC) independently predict obstructive coronary artery disease (CAD) severity. These CT-derived parameters improve CAD risk stratification beyond traditional factors.

Area of Science:

  • Cardiology
  • Radiology
  • Obesity Medicine

Background:

  • Obesity is a significant public health issue linked to coronary artery disease (CAD).
  • Quantitative evaluation of abdominal fat parameters and their association with CAD severity is limited.
  • Abdominal non-enhanced computed tomography (NECT) offers potential for assessing these relationships.

Purpose of the Study:

  • To investigate the association between abdominal fat parameters and CAD severity.
  • To determine if the visceral adipose tissue to subcutaneous adipose tissue (VAT/SAT) ratio predicts obstructive CAD.
  • To explore the utility of NECT-derived parameters in CAD risk assessment.

Main Methods:

  • Retrospective analysis of 223 patients undergoing abdominal NECT and invasive coronary angiography (ICA).
  • Evaluation of VAT/SAT ratio, nonalcoholic fatty liver disease (NAFLD), and abdominal aortic calcification (AAC) score.
  • Multivariable logistic regression to identify independent predictors of obstructive CAD.

Main Results:

  • The VAT/SAT ratio was significantly higher in patients with obstructive CAD (O-CAD) versus non-obstructive CAD (NO-CAD).
  • NAFLD and AAC score were also significantly higher in the O-CAD group.
  • VAT/SAT ratio, NAFLD, and AAC score were identified as independent predictors of O-CAD, with a combined AUC of 0.85.

Conclusions:

  • VAT/SAT ratio, NAFLD, and AAC score are correlated with CAD severity.
  • These CT-derived parameters serve as independent risk factors for O-CAD, regardless of traditional cardiovascular risk factors.
  • These parameters can aid in differentiating patients at increased risk for O-CAD.
Abstract

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