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The aim of the present study was to investigate the correlation between the triglyceride/glucose index (TyG index) and homeostasic model assessment of insulin resistance (HOMA-IR) to predict insulin resistance (IR) in obese adults
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Obesity is a chronic disease that has an increasing prevalence in both developed and developing countries and affects adults and children[1] Obesity is an important risk factor for the development of some chronic diseases such as insulin resistance, hypertension, and type 2 diabetes [2]
. Insulin sensitivity is inversely related to body mass index and body fat. Insulin resistance can be defined as impairment of the normal biological response to both endogenous and exogenous insulin. One of the primary defects underlying the development of type 2 diabetes is thought to be insulin resistance. So, it is present in 85% of these patients with Type 2 DM. It is also related to the pathogenesis of many illnesses which includes coronary heart disease, and hypertension[3] Early detection of insulin resistance (IR) is important to prevent the development of cardiometabolic diseases such as Type 2 Diabetes Mellitus, metabolic syndrome, and coronary heart disease. The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) index, which has high sensitivity and specificity, has been shown to be more useful in estimating the risk of insulin resistance, instead of more invasive, complex, and expensive direct tests such as pancreatic suppression test and hyperinsulinemic-euglycemic glucose clamp technique [4] HOMA-IR is an approved method for evaluating insulin resistance using fasting glucose and insulin levels and is widely used in clinical practice [5].
Triglyceride glucose (TyG) index is a novel marker, which has been demonstrated to have a high sensitivity and specificity in identifying insulin resistance [6].
Recently, the use of the triglyceride glucose (TyG) index, a product of fasting glucose and triglyceride are more easily accessible assessment tools both at the outpatient clinics and at the community level, and are low cost [7].
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Ayat Esmat; Hanan Omar, Professor
Data sourced from clinicaltrials.gov
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