TyG-BMI and Heart Failure Risk in Chinese Patients with Type 2 Diabetes

4116 patients with type 2 diabetes were tracked for a median of 3.01 years to study the link between the TyG-BMI index and incident heart failure. The research, authored by Zhe Zhang and shared on figshare, found 904 new HF cases and reported a hazard ratio of 1.40 for the highest TyG-BMI quartile. The TyG-BMI index demonstrated an AUC of 0.83 for predicting heart failure, outperforming BMI and the TyG index alone.

Use Cases

• Predicting heart failure risk based on the TyG-BMI index and other clinical factors.
• Comparing the predictive power of TyG-BMI against BMI and the TyG index for cardiovascular outcomes.
• Training interpretable machine learning models using SHAP analysis on clinical cohort data.
• Validating findings from animal models (e.g., Sprague-Dawley rats) with real-world human patient data.

Strengths

• Contains data from 4116 patients, including 2941 men and 1175 women.
• Reports a median follow-up period of 3.01 years with 904 identified incident heart failure cases.
• Provides specific hazard ratios and confidence intervals for TyG-BMI quartiles, such as 1.40 (95% CI 1.13-1.73) for the highest quartile.
• Includes performance metrics like an AUC of 0.83 for the TyG-BMI index in predicting heart failure.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Data is limited to a Chinese population with type 2 diabetes, which may limit generalizability.
• The dataset is very small at 24.1 KB, indicating limited scope or summary-level data.

Provenance

Source

Zhe Zhang via figshare.

Collection Method

Retrospective cohort study of hospital records, with outcomes confirmed by cardiologists using ICD-10-CM codes.

Time Range

The study period and median follow-up of 3.01 years are specified, but exact start/end dates are not provided.

Freshness

Last updated 2026-05-07 04:45:24; freshness should be verified.

Geography

Chinese population.