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

A 14.6 KB document compares the cholesterol-high-density lipoprotein-glucose (CHG) and triglyceride-glucose (TyG) indices for gestational dysglycemia risk. The study uses a discovery cohort from NHANES 2007–2018 and a clinical validation cohort of 217 participants. Author Mingliang Liu published the work on figshare under a CC-BY-4.0 license, last updated in April 2026.

Use Cases

• Comparing the discriminative performance of two metabolic indices for gestational dysglycemia based on ROC analysis.
• Assessing the association of lipid-glucose indices with gestational diabetes mellitus (GDM) using multivariable logistic regression.
• Evaluating the potential of the CHG index as a risk marker in clinical validation cohorts.
• Conducting calibration and decision curve analysis for predictive clinical models.

Strengths

• Includes a validation cohort of 217 participants with clinically diagnosed GDM.
• Leverages a nationally representative discovery cohort from NHANES spanning 2007 to 2018.
• Applies multiple analytical 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.
• The supportive analysis in currently pregnant NHANES participants had a limited sample size, leading to statistically imprecise estimates.

Provenance

Source

figshare

Collection Method

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

Time Range

NHANES data from 2007–2018; validation cohort time range not specified.

Freshness

Last updated 2026-04-27 04:14:43; freshness should be verified.

Geography

United States (NHANES); geography of validation cohort not specified.