Abstract
ObjectivesA new pooled cohort risk equation to estimate atherosclerotic cardiovascular disease (CVD) risk was recently published, but the equation is based primarily on data from Caucasian populations. The relationship of this new risk scoring system with vascular inflammation and calcification has yet to be examined. MethodsA total of 74 participants were retrospectively selected based on inclusion and exclusion criteria. All participants underwent 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) and multi-detector computed tomography (MDCT) examination in the Korea University Guro Hospital between June 2009 and May 2013. Vascular inflammation of the carotid artery was measured as target-to-background ratio (TBR) using 18F-FDG-PET/CT and coronary artery calcification was quantified as Agatston score by MDCT. ResultsAgatston scores were not significantly associated with any metabolic risk factors, but maximum TBR values exhibited a significant positive correlation with body mass index (r=0.31, P=0.01), waist circumference (r=0.42, P<0.01), waist-to-hip ratio (r=0.49, P<0.01), and systolic (r=0.35, P<0.01) and diastolic blood pressure (r=0.39, P<0.01). Furthermore, maximum TBR values were significantly correlated with serum high-sensitivity C-reactive protein (hsCRP) levels (r=0.26, P=0.03), whereas Agatston scores had no correlation. When pooled cohort risk equation scores were divided into incremental tertiles, age, waist circumference, waist-to-hip ratio and systolic blood pressure showed significant incremental trends. In particular, pooled cohort risk scores exhibited a significant positive correlation with maximum TBR values (r=0.35, P<0.01), but not with Agatston scores (r=0.11, P=0.34). ConclusionsThe pooled cohort risk equation exhibited significant positive correlations with vascular inflammation but not with calcification in Asian subjects without CVD, suggesting that this novel risk equation may detect early inflammatory changes preceding the structural modification of vessel walls.
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