Coronary Artery Disease Risk Prediction in Young Adults: How Can We Overcome the Dominant Effect of Age?

ABSTRACT

PURPOSE OF REVIEW We review the limitations of current approaches for predicting Coronary Artery Disease (CAD) in young adults and explore the alternative approaches identify high-risk individuals in this population. RECENT FINDINGS: Atherosclerosis begins in childhood, and young individuals with genetic predisposition and individuals with early exposure to traditional and non-traditional risk factors have an increased lifetime risk of CAD. However, most risk prediction models have been developed and validated in middle and older age groups and focus on short-term risk. Therefore, alternative approaches are needed in younger individuals. Genetic scores, biomarkers, imaging studies, and multi-omics data all have the potential to be used and help identify high-risk individuals.