Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome
Nutrition, Metabolism & Cardiovascular Diseases Dec 14, 2021
Son DH, Lee HS, Lee YJ, et al. - Triglyceride-glucose (TyG) index is better than HOMA-IR (homeostasis model assessment of insulin resistance) for predicting metabolic syndrome (MetS).
In this large, community-based, prospective cohort study with 12 years of follow-up, data from 9,730 adults with or without MetS at baseline, 6,091 adults without MetS who were followed as part of the Korean Genome and Epidemiology Study were analyzed.
A higher predictive power for prevalent MetS was demonstrated by TyG index vs HOMA-IR (0.837 vs 0.680).
For incident MetS, TyG index and HOMA-IR had areas under the ROC curve of 0.654 (0.644–0.664) and 0.556 (0.531–0.581), respectively.
The cut-off points for predicting the prevalence of MetS were 8.718 and 1.8 for TyG index and HOMA-IR, respectively, and were 8.518 and 1.5 for predicting incident MetS.
Both TyG index and HOMA-IR were shown to have a linear association with incident MetS.
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