Heart Failure Patient Data for 180-Day Composite Outcome Risk Prediction

2,737 patients with heart failure were consecutively enrolled from Beijing Anzhen Hospital between January 2024 and June 2025. The dataset was used to develop an XGBoost model predicting a 180-day composite outcome of all-cause death or rehospitalization, achieving an AUC of 0.866. Author Yihe Zhang published the study on figshare under a CC-BY-4.0 license.

Use Cases

• Validating the uric acid-to-HDL cholesterol ratio (UHR) as a prognostic biomarker based on its association with a 180-day composite outcome.
• Developing short-term risk prediction models for heart failure patients based on routine clinical indicators like BMI, homocysteine, and glycated albumin.
• Interpreting feature importance in clinical ML models using SHAP analysis, as demonstrated with predictors like sdLDL-C and UHR.
• Benchmarking the performance of different ML algorithms (e.g., LASSO, XGBoost) on a clinical cohort with a defined composite endpoint.

Strengths

• Contains data from 2,737 consecutively enrolled patients, providing a substantial cohort size.
• Model validation was performed on an internal hold-out set of 820 patients.
• The primary composite outcome was tracked with complete 180-day follow-up for all enrolled patients.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is from a single-center study, which may limit generalizability.
• Row count for the underlying data table is unknown, which may limit suitability assessment.

Provenance

Source

Single-center retrospective cohort study from Beijing Anzhen Hospital, Capital Medical University.

Collection Method

Consecutive enrollment of hospitalized heart failure patients with follow-up until a specified date.

Time Range

Patient enrollment from January 1, 2024 to June 30, 2025; follow-up until December 31, 2025.

Freshness

Last updated 2026-06-01 04:19:05; freshness should be verified.

Geography

Data originates from a hospital in Beijing, China.