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CHG index outperforms TyG index for gestational dysglycemia risk prediction in NHANES cohorts

CHG index outperforms TyG index for gestational dysglycemia risk prediction in NHANES cohorts
Photo by Towfiqu barbhuiya / Unsplash
Key Takeaway
Consider CHG index as a potential risk marker for GDM, not a standalone screening tool.

This review and comparative study analyzed data from the NHANES 2007–2018 discovery cohort and an independent clinical validation cohort comprising 217 participants. The study evaluated the cholesterol-high-density lipoprotein-glucose (CHG) index and triglyceride-glucose (TyG) index as potential biomarkers for gestational diabetes mellitus and gestational dysglycemia. The primary outcomes included self-reported GDM history in the discovery cohort and clinically diagnosed GDM in the validation cohort.

In primary adjusted models within the NHANES discovery cohort, the CHG index showed a stronger association with self-reported GDM history than the TyG index. Discriminative performance analysis revealed that the CHG index yielded a numerically higher area under the curve (AUC) than the TyG index. When models were adjusted for continuous fasting blood glucose in NHANES, the association for the TyG index was attenuated, whereas the association for the CHG index remained significantly associated.

In the clinical validation cohort, the CHG index again demonstrated numerically higher discriminative performance than the TyG index. Supportive analyses conducted on currently pregnant NHANES participants yielded directionally similar but statistically imprecise estimates. Safety data, including adverse events and tolerability, were not reported for these indices.

Key limitations include the modest overall discriminative performance of the CHG index and statistically imprecise estimates in supportive analyses due to the limited sample size of the validation cohort. The study authors note the need for further prospective studies to validate findings. Consequently, the CHG index should be interpreted as a potential risk marker rather than a standalone clinical screening tool.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
BackgroundEarly risk stratification for gestational dysglycemia is important for improving maternal and neonatal outcomes. Derived from fasting triglycerides and glucose, the triglyceride–glucose (TyG) index is widely used to approximate insulin resistance, whereas the cholesterol-high-density lipoprotein-glucose (CHG) index incorporates broader lipid metabolism. We compared the associations and discriminative performance of TyG and CHG in a national survey discovery cohort and an independent clinical validation cohort.MethodsWe analyzed a survey-weighted discovery cohort from NHANES 2007–2018, in which the primary outcome was self-reported GDM history. We further evaluated an independent validation cohort with clinically diagnosed GDM (n = 217). Associations and predictive performance were assessed using multivariable logistic regression, receiver operating characteristic (ROC) analysis, calibration analysis, and decision curve analysis (DCA). Additional analyses included adjustment for continuous fasting blood glucose in NHANES, supportive analyses restricted to currently pregnant NHANES participants from 2007–2012 using proxy-defined gestational fasting dysglycemia (fasting blood glucose ≥5.1 mmol/L), and gestational-week-adjusted sensitivity analyses in the validation cohort.ResultsIn the NHANES discovery cohort, CHG showed a stronger association with self-reported GDM history than TyG in the primary adjusted models and yielded a numerically higher AUC than TyG. After additional adjustment for continuous fasting blood glucose, the association for TyG was attenuated, whereas CHG remained significantly associated. In the clinical validation cohort, CHG also showed numerically higher discriminative performance than TyG, and the overall findings remained directionally consistent after gestational-week adjustment. Supportive analyses in currently pregnant NHANES participants showed directionally similar but statistically imprecise estimates because of the limited sample size.ConclusionBoth TyG and CHG are simple, low-cost indices associated with gestational dysglycemia/GDM. Across the discovery and validation cohorts, CHG generally showed stronger associations and numerically better discrimination than TyG; however, its overall discriminative performance remained modest and should be interpreted as that of a potential risk marker rather than a standalone clinical screening tool. Further prospective studies are needed to validate these findings.
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