Key result
Surrogate indices of insulin resistance incorporating lipid parameters, particularly the TyG and TG/HDL ratios, serve as effective clinical tools for the early prediction of cardiometabolic risk.
Why the study?
High prevalence of T2DM and atherosclerotic CVD drives the need for early detection of cardio-metabolic risk markers, making early diagnosis of insulin resistance essential for identifying carbohydrate metabolism disorders and assessing cardiological risk.
Answers are grounded in this paper and cite their sources.
Surrogate markers of insulin resistance such as TyG and TG/HDL-C offer accessible, cost-effective alternatives to clamp tests for early identification of patients at high cardio-metabolic risk.
The high prevalence of type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular diseases (CVD) determines the need for early detection and correction of key markers of cardio-metabolic risk (CMR). This prophylactic direction is closely related to metabolic syndrome (MS) based on the concept of insulin resistance (IR). At the same time, IR is the first link in the pathogenesis of T2DM and is a recognized risk factor for atherothrombosis. Therefore, early diagnosis of IR is of practical importance both for the detection of early disorders of carbohydrate metabolism (DCM) and prognosis of T2DM, and cardiological risk. Alternative indicators have been proposed for evaluating IR with the inclusion of lipid and anthropometric parameters, the diagnostic and prognostic significance of which in terms of CMR (DCM and CVD) has been evaluated in randomized clinical trials in comparison with the HOMA-IR index and clamp. The TyG index (calculated on the basis of plasma glucose and triglycerides) is consistent with the phenomenon of glucolipotoxicity with subsequent metabolic disorders in target organs. Its derivatives are proposed: TyG-WC (TyG / waist circumference) and TYG-BMI (TyG / BMI). Apply LAP indices (lipid accumulation index) and VAI (visceral obesity index), as well as TG / HDL (TG / HDL). Their ethnic and gender differences were revealed, attempts were made to calculate the cut-off points for these indices.
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Ruyatkina et al. (2019) conducted a review in Insulin resistance and cardiometabolic risk. Surrogate indices of insulin resistance (TyG, TG/HDL, LAP, VAI) vs. HOMA-IR and euglycemic-hyperinsulinemic clamp was evaluated. Surrogate indices of insulin resistance incorporating lipid parameters, particularly the TyG and TG/HDL ratios, serve as effective clinical tools for the early prediction of cardiometabolic risk.
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