Abstract MP96: Directly Quantified Visceral Adipose Tissue Predicts Vascular Inflammation Beyond Traditional Anthropometric Measures
Background: Visceral adipose tissue (VAT) has been linked to increased cardiovascular (CV) risk. Data are limited comparing volume-based VAT by computed tomography (CT) to standard anthropometric measures (body mass index [BMI], waist-to-hip ratio [WHR]) in predicting vascular inflammation (VI) measured by (18F-FDG) PET-CT. Therefore, we sought to compare the ability of BMI, WHR, and VAT to predict VI in a cohort study of inflammation and CV risk. We hypothesized that direct quantification of VAT will provide incremental value beyond standard anthropometric measures in association with VI.
Methods and Results: We evaluated the relationship between adiposity measures (VAT, BMI, WHR) and (18F-FDG) PET-CT measured arterial inflammation [target-to-background ratio (TBR)] from the thoracic aorta in a longitudinal study of CV risk predictors in chronic inflammation (NCT: NCT01778569). Patients underwent (18F-FDG) PET-CT during a baseline visit in 2012-2014 (N=56). Volume of VAT from the diaphragm to the inferior border of the urinary bladder was measured by CT using a validated method (VAT=sum of slices 50-150). Likelihood ratio testing was applied in nested Tobit regression models to assess the incremental value of adding VAT to models with BMI and WHR in predicting VI. Those with greater VAT had higher BMI and Framingham risk score (p<0.05 across VAT tertiles). VAT was associated with TBR (beta coefficient = 2.7, 95% CI=0.7-4.7) independent of age, sex, race, physical activity and CV risk factors (hypertension, hyperlipidemia, family history). VAT added incremental value to traditional CV risk factors, BMI, and WHR in predicting TBR. In contrast, BMI and WHR did not predict TBR beyond CV risk factors (Table).
Conclusions: Volume-based CT measures of visceral adiposity are more accurate predictors of vascular inflammation as compared to BMI and WHR, independent of traditional CV risk markers. Thus, volume-based VAT may serve as a novel anthropometric measure in identifying vascular inflammation and CV risk.
Author Disclosures: T.M. Powell-Wiley: None. P. Krishnamoorthy: None. B. Natarajan: None. M. Playford: None. J. Doveikis: None. Q. Ng: None. J. Yao: None. N. Mehta: None.
- © 2015 by American Heart Association, Inc.