Diagnosis Performance of Insulin Surrogate Indices for Predicting Insulin Resistance in Young Men Defi ning as Reference the Matsuda Index- An Exploratory Case-Control Study Conducted in Latin America Population

MALAGON-SORIANO A ; BURGOS-CARDENAS AJ; GARCES MF; ESPINEL-PACHON CF; VEGA RF; RUBIO-ROMERO JA; CAMINOS-CEPEDA SA; LACUNZA E; RUIZ PARRA AI; CAMINOS JE

Congreso; ENDO 2023; 2023

Insulin plays an essential role in glucose and lipid homeostasis. Changes in insulin sensitivity in adipose tissue, liver and muscle occur in the course of different metabolic disorders, and have been proposed to be a potential contributor to obesity and type 2 diabetes. The euglycemic hyperinsulinemic clamp technique is the gold standard approach for assessing insulin sensitivity in humans, with the disadvantages of being expensive, labor intensive, and time consuming. Therefore, this study aimed to investigate the diagnosis performance of insulin surrogate indicesusing as reference the Matsuda index, in healthy and insulin resistant young men in Latin America population. Thus, the current cross-sectional study was conducted in healthy (n=48) and insulin resistant (n=45) young adult men (18–31 year old) using the Matsuda index cut-off value as reference to determine insulin sensitivity/resistance. Receivers operating characteristic curves (ROC) were used to determine the cut-off, sensitivity, and specificity values for QUICKI, HOMA-IR, TG/HDL-C, TyG, TyG-WC, TyG-BMI, LAP and VAI.TyG-WC (AUC=1.0) and TyG-BMI (AUC=1.0) indices showed the highest diagnostic performance with high sensitivity and specificity to predict insulin resistance in young men. In addition, TyG-BMI index showed a statistically significant stronger correlation with waist circumference (WC), when compared with HOMA-IR, Matsuda and QUICKY indices. In conclusion, we were able to diagnose insulin resistance with high sensitivity and specificity in young individuals -supposedly metabolically healthy- who do not meet the criteria for metabolic syndrome diagnosis, using widely available, low- cost, and reliable surrogate indices. Additionally, the TyG-WC and TyG-BMI indices were the better predictors of insulin resistance. The cut-o values used to define insulin resistance in our Latin America population studied were similar to recent studies in the United States population, despiteclinical and racial/ethnic differences.