Circulation Journal · 2015 · 14 citations · 24 references
MedicineCardiologyClinical SciencesClinical CardiologyMetabolic PhysiologyPreventive CardiologyCardiovascular DiseaseCoronary Artery DiseaseCoronary Artery ImagingIschemic Heart DiseaseMetabolic SyndromeAtherosclerosis RiskCoronary Artery Disease DetectionCoronary Artery Disease ImagingCoronary Lesion AssessmentLeft Main Coronary Artery DiseaseMetabolic Syndrome Risk AssessmentSubclinical Atherosclerosis
BACKGROUND: Little is known about subclinical atherosclerosis on coronary computed tomographic angiography (CCTA) in asymptomatic individuals with metabolic syndrome (MetS). METHODS AND RESULTS: We analyzed 5,213 asymptomatic individuals who underwent CCTA. A cardiac event was defined as a composite of all-cause death, myocardial infarction, unstable angina, or coronary revascularization. Of the study participants, 2,042 (39.2%) had MetS. MetS was an independent predictor of significant coronary artery disease (CAD) in at least 1 coronary artery (odds ratio [OR]=1.992, 95% confidence interval [CI]=1.623-2.445, P<0.001) and significant CAD in the left main (LM) or proximal left anterior descending (LAD) artery (OR=2.151, 95% CI=1.523-3.037, P<0.001). During the follow-up period (median 28.1 [interquartile range, 19.2-36.5] months), 111 individuals had 114 cardiac events. Individuals with MetS were significantly associated with more cardiac events than those without (RR [rate ratio]=1.67, 95% CI=1.15-2.43, P=0.007). In the MetS group, individuals with significant CAD had the majority of cardiac events (RR=64.33, 95% CI=29.17-141.88, P<0.001). Furthermore, in the MetS with significant CAD group, those with significant CAD in the LM or proximal LAD had more cardiac events (RR=2.63, 95% CI=1.51-4.59, P=0.001). CONCLUSIONS: MetS was associated with subclinical atherosclerosis on CCTA with subsequent high risk for cardiac events. These findings suggest the importance of reducing unfavorable metabolic conditions in asymptomatic individuals.
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Prediction of Coronary Heart Disease Using Risk Factor Categories
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