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Published on: August 28, 2018

Are metabolic factors associated with coronary artery stenosis on MDCT?

Ryoko Mitsutake1, Shin-ichiro Miura, Akira Kawamura

  • 1Department of Cardiology, Fukuoka University School of Medicine, Jonan-ku, Fukuoka, Japan.

Circulation Journal : Official Journal of the Japanese Circulation Society
|November 29, 2008
PubMed

Insights

Metabolic syndrome (MetS) is linked to more severe coronary artery disease (CAD). Lower high-density lipoprotein-cholesterol (HDL-C) levels are the strongest predictor of CAD severity, independent of other metabolic factors.

Area of Science:

  • Cardiology
  • Metabolic Health
  • Medical Imaging

Background:

  • The relationship between metabolic syndrome (MetS) and coronary artery disease (CAD) severity is not well understood.
  • Multidetector row computed tomography (MDCT) is a key imaging modality for assessing CAD.

Purpose of the Study:

  • To investigate the association between MetS and CAD severity using MDCT.
  • To identify which metabolic factors are most predictive of CAD severity.

Main Methods:

  • MDCT was used to quantify coronary artery disease severity, including the number of stenosed vessels (VD) and coronary artery calcification score.
  • Visceral fat area (VFA), subcutaneous fat area (SFA), and abdominal circumference were measured.
  • Plasma levels of metabolic factors, including adiponectin and high-density lipoprotein-cholesterol (HDL-C), were analyzed.

Main Results:

  • The MetS group exhibited significantly higher VD compared to the non-MetS group.
  • Adiponectin levels decreased, while VD increased with a higher number of metabolic risk factors.
  • Multivariate logistic regression identified HDL-C as the most significant predictor of VD (P=0.0014).

Conclusions:

  • Lower HDL-C levels appear to be the most potent predictor of CAD severity.
  • HDL-C predicts CAD independently of other metabolic markers like adiponectin and VFA.
Abstract

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