Improved ASCVD Screening in Diabetes: a Focus on Scoring Models and Detection Techniques.

Abstract

Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). Diabetes accelerates the progression of atherosclerosis through key mechanisms such as insulin resistance, hyperglycemia, dyslipidemia, chronic inflammation, and oxidative stress, significantly increasing the risk of coronary artery disease, stroke, and heart failure. Traditional risk assessment models and treatment strategies often fall short in fully addressing these complexities, leaving a substantial residual cardiovascular risk in diabetic patients. This review focuses on the need for enhanced screening protocols in diabetic populations, examining advanced risk scoring models and detection techniques aimed at improving early identification and management of ASCVD. Also, this study examines the pathophysiological links between diabetes and atherosclerosis, emphasizing the need for enhanced screening protocols. Emerging tools, such as non-invasive imaging techniques (e.g., coronary artery calcium scoring, CCTA) and biomarkers (e.g., polygenic risk scores), offer promise for improved early detection and risk stratification. Additionally, newer therapeutic strategies targeting inflammation and insulin resistance are being explored to mitigate cardiovascular risks in this population. Given the significant cardiovascular risk associated with diabetes, particularly T2DM, these advancements are crucial in reducing morbidity and mortality related to atherosclerotic events.