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.
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.
Authors: Kevin A Bybee; John Lee; Richard Markiewicz; Ryan Longmore; A Iain McGhie; James H O'Keefe; Bai-Ling Hsu; Kevin Kennedy; Randall C Thompson; Timothy M Bateman Journal: J Nucl Cardiol Date: 2009-12-11 Impact factor: 5.952
Authors: Damini Dey; Nathan D Wong; Balaji Tamarappoo; Ryo Nakazato; Heidi Gransar; Victor Y Cheng; Amit Ramesh; Ioannis Kakadiaris; Guido Germano; Piotr J Slomka; Daniel S Berman Journal: Atherosclerosis Date: 2009-08-21 Impact factor: 5.162
Authors: Allison L Kuipers; Joseph M Zmuda; J Jeffrey Carr; James G Terry; Sangeeta Nair; Ryan Cvejkus; Clareann H Bunker; Alan L Patrick; Christina L Wassel; Iva Miljkovic Journal: Atherosclerosis Date: 2017-06-16 Impact factor: 5.162
Authors: A G Laurinavicius; M S Bittencourt; M J Blaha; F C Nary; N M Kashiwagi; R D Conceiçao; R S Meneghelo; R R Prado; J A M Carvalho; K Nasir; R S Blumenthal; R D Santos Journal: QJM Date: 2016-01-19