Comparative Predictive Value of CHG vs. TyG Indices for Gestational Dysglycemia

Two-cohort study comparing the cholesterol-high-density lipoprotein-glucose (CHG) and triglyceride-glucose (TyG) indices for predicting gestational dysglycemia. The analysis includes a discovery cohort from NHANES 2007–2018 and an independent clinical validation cohort of 217 participants. Author Mingliang Liu published the findings under a CC-BY-4.0 license in April 2026.

Use Cases

• Comparing the discriminative performance of two metabolic indices for gestational diabetes based on receiver operating characteristic analysis.
• Assessing the association of lipid-glucose indices with gestational dysglycemia using multivariable logistic regression.
• Validating a risk marker in an independent clinical cohort, as described in the two-cohort study design.

Strengths

• Includes an independent clinical validation cohort with 217 participants.
• Discovery cohort leverages nationally representative NHANES survey data from 2007–2018.
• Analysis employs multiple statistical methods: logistic regression, ROC analysis, calibration, and decision curve analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Supportive analyses in a subset of NHANES participants were statistically imprecise due to limited sample size, as noted in the description.

Provenance

Source

figshare, author Mingliang Liu.

Collection Method

Analysis of a survey-weighted discovery cohort from NHANES and an independent clinical validation cohort.

Time Range

NHANES data covers 2007–2018.

Freshness

Last updated 2026-04-27 04:14:44; freshness should be verified.

Geography

United States (NHANES); geography of the clinical validation cohort is unspecified.