Paraclinical Cardiometabolic Risk Assessment in Type 2 Diabetes

Diabetes mellitus (DM) is a chronic metabolic disorder characterized by the inability to adequately utilize essential nutrients, including carbohydrates, fats, and proteins, as a result of insulin deficiency and/or impaired insulin action. In individuals with type 2 diabetes mellitus (T2DM), comprehensive assessment of cardiovascular disease risk factors and visceral adiposity is of critical importance. Excess visceral fat is closely associated with increased insulin resistance and an elevated risk of cardiovascular disease, reflecting the well-established relationship between cardiometabolic disorders and adiposity. Moreover, excessive body fat accumulation contributes to a chronic low-grade systemic inflammatory state, which plays a central role in the pathogenesis of metabolic syndrome. When metabolic syndrome coexists with dyslipidemia, the risk of cardiovascular disease is further amplified. In this context, the availability of biomarkers that are easy to apply, rapidly measurable, and cost-effective is of considerable clinical relevance. The triglyceride-glucose (TyG) index has emerged as a practical and reliable parameter for the assessment of insulin resistance. This index is calculated using fasting plasma triglyceride and glucose concentrations, which are routinely measured and widely accessible laboratory parameters. The TyG index provides valuable insight into metabolic disturbances related to insulin resistance and its potential association with cardiovascular disease. The Systemic Immune Inflammation Index (SII) is another emerging biomarker derived from peripheral blood cell counts, calculated using lymphocyte (L), platelet (P), and neutrophil (N) values, and reflects the balance between inflammatory and immune responses. In addition, the Atherogenic Plasma Index (API) serves as an indicator of atherogenic dyslipidemia and may offer information regarding the severity of insulin resistance associated with impaired glucose metabolism, as well as its relationship with cardiovascular risk. The aim of this study is to evaluate the TyG index as a predictor of insulin resistance, the API as a marker of cardiovascular risk, and the SII as a significant indicator of systemic inflammation in patients diagnosed with T2DM. These novel biochemical indices may facilitate early risk stratification, improve treatment planning, and ultimately contribute to more effective clinical management of individuals with T2DM.