Differential progression of coronary atherosclerosis according to plaque composition: a cluster analysis of PARADIGM registry data.

ABSTRACT: Patient-specific phenotyping of coronary atherosclerosis would facilitate personalized risk assessment and preventive treatment. We explored whether unsupervised cluster analysis can categorize patients with coronary atherosclerosis according to their plaque composition, and determined how these differing plaque composition profiles impact plaque progression. Patients with coronary atherosclerotic plaque (n = 947; median age, 62 years; 59% male) were enrolled from a prospective multi-national registry of consecutive patients who underwent serial coronary computed tomography angiography (median inter-scan duration, 3.3 years). K-means clustering applied to the percent volume of each plaque component and identified 4 clusters of patients with distinct plaque composition. Cluster 1 (n = 52),

SUBMITTER: Yoon YE 

PROVIDER: S-EPMC8385056 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature