DOI: https://doi.org/10.36347/sjams.2025.v13i05.032

Pages: 1197-1201

This review describes the intricate relationship of diabetes mellitus and its cardiovascular (CVD) complications, emphasizing on underlying mechanisms, associated risks, and advances in current management. CVD is the primary cause of morbidity and mortality in those with diabetes mellitus, especially in type 2 diabetes. Pathophysiological links between diabetes and CVD and bidirectional relationships. The bidirectional relationship between diabetes and CVD is supported by common pathophysiological mechanisms that include insulin resistance, chronic inflammation, endothelial dysfunction, and accelerated atherosclerosis. In this review, we attempt to compile the available evidence on the relationship between diabetes and CVD, focusing on common pathophysiological pathways, risk stratification and management aspects. A systematic literature search was performed on databases such as PubMed, Scopus, and Web of Science up to February 2025 for peer-reviewed articles. The authors conducted a review of CloVR-Comparative literature by hand clasping relevant clinical trials, meta-analyses, observational studies, and guidelines according to the predefined inclusion criteria focusing on methodological quality and activeness and up-to-date ness in clinical practice. The main results show that diabetes significantly increases the risk of coronary heart disease, heart failure, and stroke. In the recent comprehensive guideline for comprehensive management, importance of glycemic control, managing lipid and blood pressure levels, and novel anti-hyperglycemic agents, such as SGLT2 Inhibitor and GLP-1 Receptor Agonist, were highlighted. Furthermore, differences in CHD outcomes by diabetic subgroups indicate the necessity for individualized care. This review summarizes key lacunae in the long-term cardiovascular safety of newer therapeutic approaches, the relationship between diabetic cardiomyopathy and microvascular disease, and the barriers to the adoption of multifactorial risk reduc