TyG-WHtR Predicts Diabetes in NAFLD Patients: A 12-Year Japanese Cohort Study

A 12-year prospective cohort study of 2,370 Japanese patients with nonalcoholic fatty liver disease (NAFLD) evaluates twelve metabolic composite indices for predicting incident type 2 diabetes. The triglyceride–glucose–waist–height ratio (TyG-WHtR) demonstrated the highest predictive accuracy with an AUC of 0.680 and an optimal cut-off of 4.54. Authored by Nan’nan Chen and shared under CC-BY-4.0, this research dataset was last updated on May 1, 2026.

Use Cases

• Comparing the predictive performance of twelve metabolic composite indices for type 2 diabetes based on hazard ratios and AUC values.
• Developing risk stratification tools for type 2 diabetes in NAFLD patients based on the TyG-WHtR index.
• Validating the linear association between metabolic indices and diabetes risk using multivariate Cox proportional hazards models.
• Conducting subgroup analyses to assess the consistency of predictive associations across patient demographics.

Strengths

• Data originates from a 12-year prospective cohort study, providing longitudinal insights.
• Analysis includes 2,370 NAFLD patients, a substantial sample size for a specialized clinical population.
• Compares twelve distinct metabolic indices, including TyG-WC, TyG-WHtR, and VAI, with detailed hazard ratios and confidence intervals.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is specific to a Japanese cohort, which may limit generalizability to other populations.

Provenance

Source

Secondary analysis of a prospective Japanese cohort.

Collection Method

Multivariate Cox proportional hazards models, ROC/AUC analysis, and Kaplan-Meier validation.

Time Range

12-year prospective study period.

Freshness

Last updated 2026-05-01 04:16:25; freshness should be verified.

Geography

Japanese population.