Increased intrathoracic and hepatic visceral adipose tissue independently correlates with coronary artery calcification in asymptomatic patients

J Nucl Cardiol. 2014 Oct;21(5):880-9. doi: 10.1007/s12350-014-9946-9. Epub 2014 Aug 16.

Abstract

Background: Visceral adipose tissue (VAT) is associated with cardiac events, but it is not clear which, if any of the various measures of VAT independently correlate with coronary artery disease (CAD).

Methods: We studied 400 patients undergoing computed tomography to determine coronary artery calcium (CAC) score. VAT was measured in the form of epicardial adipose tissue (EAT) volume and thickness, intrathoracic adipose tissue volume (ITAV), and hepatic steatosis.

Results: Of the 400 subjects, the average CAC score was 112.2 ± 389.3. When each measure of VAT (EAT volume and thickness, ITAV, hepatic steatosis) was added to the traditional model (they were independently associated with greater risk of CAC score ≥100 AU as measured by IDI/NRI (P < .05). On univariable logistic regression analysis, each of the 4 measures of VAT showed association with greater risk of a CAC score of ≥100 AU (OR > 1).

Conclusions: Each measure of VAT is a strong correlate of CAC score ≥100 AU in asymptomatic subjects-these VAT assessments correlate more significantly than do traditional CAD risk factors. This incremental power in the predictive models is likely the result of measurement of a fundamental expression of the metabolic syndrome and consequent proatherogenic derangements.

MeSH terms

  • Calcinosis / diagnostic imaging*
  • Calcinosis / epidemiology*
  • Causality
  • Comorbidity
  • Coronary Angiography / statistics & numerical data
  • Coronary Artery Disease / diagnostic imaging
  • Coronary Artery Disease / epidemiology*
  • Fatty Liver / diagnostic imaging*
  • Fatty Liver / epidemiology*
  • Female
  • Humans
  • Intra-Abdominal Fat / diagnostic imaging*
  • Liver / diagnostic imaging
  • Male
  • Middle Aged
  • Missouri / epidemiology
  • Prevalence
  • Radiography, Thoracic / statistics & numerical data
  • Reproducibility of Results
  • Risk Factors
  • Sensitivity and Specificity
  • Statistics as Topic
  • Tomography, X-Ray Computed / statistics & numerical data