Identification of Specific Coronary Artery Disease Phenotypes Implicating Differential Pathophysiologies

Area of Science:

• Cardiology
• Genomics
• Biochemistry

Background:

• Coronary artery disease (CAD) risk factors are known, but CAD is often viewed as a single condition.
• The potential for distinct CAD phenotypes remains underexplored.

Purpose of the Study:

• To determine if coronary angiography can identify distinct coronary artery disease (CAD) phenotypes.
• To investigate associations between these phenotypes, major risk factors, and patient prognosis.

Main Methods:

• Cluster analysis of coronary angiography reports in 4,344 patients.
• Independent validation in 3,129 patients from the LURIC study.

Main Results:

• Four distinct CAD subgroups were identified based on stenosis patterns.
• Subgroups differed in demographics, cardiovascular risk, metabolic syndrome, inflammatory markers, and acute coronary syndrome presentation.
• Significant differences in all-cause and cardiovascular mortality were observed between clusters.

Conclusions:

• Four phenotypic subgroups of coronary artery disease (CAD) were identified.
• These subgroups exhibit unique characteristics and prognoses, suggesting CAD may encompass multiple distinct disease entities.