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March 21, 2026Diabetology & Metabolic Syndrome2 citationsOpen Access

Predictive value of six first-trimester insulin resistance indices for gestational diabetes mellitus and oral glucose tolerance test results

QPQianruo PanZCZhuhua CaiDLDongmei Lin

Key Points

  • The aim is to evaluate the predictive value of six insulin resistance indices for gestational diabetes mellitus and oral glucose tolerance test results.
  • Retrospective analysis of 2122 pregnant women in China
  • Calculated insulin resistance indices from fasting blood samples in early pregnancy
  • Diagnosed gestational diabetes using a 75-g oral glucose tolerance test at 24–28 weeks
  • Used logistic regression to assess associations with gestational diabetes and OGTT results
  • Conducted ROC analyses to evaluate predictive performance.
  • All indices showed positive associations with gestational diabetes and OGTT measures, except HSI.
  • TyG-BMI exhibited the best discrimination for GDM with an AUC of 0.65.
  • METS-IR performed best for fasting glucose with an AUC of 0.736.
  • Overall, indices predicted fasting glucose more accurately than postprandial glucose or GDM.
  • Associations between indices and GDM were linear and consistent across subgroups.

Abstract

Gestational diabetes mellitus (GDM) is closely related to insulin resistance (IR) and is usually diagnosed in mid-pregnancy, limiting opportunities for early risk identification. We evaluated six simple first-trimester IR indices—triglyceride-glucose index (TyG), triglyceride-glucose–body mass index (TyG-BMI), triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C), metabolic score for insulin resistance (METS-IR), Zhejiang University index (ZJU), and hepatic steatosis index (HSI)—for predicting GDM and oral glucose tolerance test (OGTT) glucose levels. In this retrospective study of 2122 Chinese pregnant women, GDM was diagnosed using a 75-g OGTT at 24–28 weeks. Fasting blood samples in early pregnancy were used to calculate IR indices. Logistic regression assessed associations with GDM and OGTT results; ROC analyses evaluated predictive performance. All indices were positively associated with GDM and OGTT measures, except HSI, which correlated with fasting and 1-hour glucose only. TyG-BMI showed the best discrimination for GDM (AUC 0.65; 95% CI 0.617–0.683), and METS-IR performed best for fasting glucose (AUC 0.736). Indices generally predicted fasting glucose more accurately than postprandial glucose or overall GDM. Associations were linear and consistent across subgroups. First-trimester TyG, TyG-BMI, TG/HDL-C, METS-IR, ZJU, and HSI are independent predictors of GDM and correlate with OGTT glucose, particularly fasting glucose.

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Cite This Study

Pan et al. (2026) studied this question.

synapsesocial.com/papers/69be361e6e48c4981c674d58https://doi.org/10.1186/s13098-026-02145-9
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