Abstract
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. 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.
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