Cardiometabolic predictors of high-risk CCTA phenotype in a diverse patient population
Document Type
Article
Department
Cardiology; Office of the Provost
Abstract
Introduction: Low-attenuation non-calcified plaque (LAP) burden and vascular inflammation by pericoronary adipose tissue (PCAT) measured from coronary CT angiography (CCTA) have shown to be predictors of cardiovascular outcomes. We aimed to investigate the relationships of cardiometabolic risk factors including lipoprotein(a) and epicardial adipose tissue (EAT) with CCTA high-risk imaging biomarkers, LAP and vascular inflammation.
Methods: The patient population consisted of consecutive patients who underwent CCTA for stable chest pain and had a complete cardiometabolic panel including lipoprotein(a). Plaque, PCAT and EAT were measured from CT using semiautomated software. Elevated LAP burden and PCAT attenuation were defined as ≥4% and ≥70.5 HU, respectively. The primary clinical end-point was a composite of myocardial infarction, revascularization or cardiovascular death.
Results: A total of 364 consecutive patients were included (median age 56 years, 64% female); the majority of patients were of Hispanic (60%), and the rest were of non-Hispanic Black (21%), non-Hispanic White (6%) and non-Hispanic Asian (4%) race/ethnicity. The prevalence of elevated LAP burden and PCAT attenuation was 31 and 18%, respectively, while only 8% had obstructive stenosis. There were significant differences in plaque characteristics among different racial/ethnic groups (pConclusion: The prevalence of LAP and PCAT attenuation were 31 and 18%, respectively. Lipoprotein(a) levels correlated with LAP burden in Hispanic patients. Age, male sex, hypertension and hyperlipidemia increased the odds of elevated LAP, which showed prognostic significance.
Publication (Name of Journal)
American Journal of Preventive Cardiology
DOI
10.1016/j.ajpc.2023.100578
Recommended Citation
Kuno, T.,
Arce, J.,
Fattouh, M.,
Sarkar, S.,
Skendelas, J. P.,
Daich, J.,
Schenone, A. L.,
Zhang, L.,
Rodriguez, C. J.,
Virani, S. S.
(2023). Cardiometabolic predictors of high-risk CCTA phenotype in a diverse patient population. American Journal of Preventive Cardiology, 15, 100578.
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