Identification of Specific Coronary Artery Disease Phenotypes Implicating Differential Pathophysiologies.

ABSTRACT:

Background and aims

The roles of multiple risk factors of coronary artery disease (CAD) are well established. Commonly, CAD is considered as a single disease entity. We wish to examine whether coronary angiography allows to identify distinct CAD phenotypes associated with major risk factors and differences in prognosis.

Methods

In a cohort of 4,344 patients undergoing coronary angiography at Heidelberg University Hospital between 2014 and 2016, cluster analysis of angiographic reports identified subgroups with similar patterns of spatial distribution of high-grade stenoses. Clusters were independently confirmed in 3,129 patients from the LURIC study.

Results

Four clusters were identified: cluster one lacking critical stenoses comprised the highest percentage of women

SUBMITTER: Krohn JB 

PROVIDER: S-EPMC8960070 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature