TyG-WHtR Predicts Incident Type 2 Diabetes in NAFLD: A 12-Year Prospective Cohort Study

A 12-year prospective cohort study of 2,370 Japanese patients with nonalcoholic fatty liver disease (NAFLD) evaluates the predictive performance of twelve metabolic composite indices for incident type 2 diabetes mellitus. The dataset, authored by Nan’nan Chen and last updated in May 2026, likely contains patient-level data used to calculate indices like TyG-WC, TyG-WHtR, and VAI, and their association with diabetes onset via Cox models and ROC analysis.

Use Cases

• Comparing the predictive accuracy of metabolic indices like TyG-WHtR and TyG-WC for type 2 diabetes based on AUC values
• Validating hazard ratios for diabetes onset per 1-SD increase in composite indices such as TyG-WC (HR: 1.80)
• Determining optimal clinical cut-off points (e.g., TyG-WHtR = 4.54) for diabetes risk stratification using Youden’s index
• Assessing the linear association between metabolic indices and diabetes risk via restricted cubic spline regression
• Conducting subgroup analyses to evaluate effect modification in NAFLD patient cohorts

Strengths

• Data from a 12-year prospective cohort provides longitudinal insights
• Analysis includes 2,370 NAFLD patients, a substantial sample size
• Compares twelve distinct metabolic composite indices (e.g., TyG-WC, TyG-WHtR, VAI) with statistical rigor
• Results include specific hazard ratios (e.g., TyG-WC HR: 1.80) and AUC values (e.g., TyG-WHtR AUC = 0.680)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for the underlying dataset 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, shared on figshare by Nan’nan Chen.

Collection Method

Multivariate Cox proportional hazards models, ROC/AUC analysis, and restricted cubic spline regression applied to cohort data.

Time Range

Study follow-up period spans 12 years.

Freshness

Last updated 2026-05-01 04:16:24; freshness should be verified

Geography

Cohort is from Japan.