Obesity-Metabolic Indices and Heart Failure in 3872 Coronary Artery Disease Patients

Data Sheet 1 from a multicenter retrospective observational study by Xianwei Tian, last updated April 2026. The dataset likely contains clinical data for 3872 patients with coronary artery disease, used to assess associations between four obesity-metabolic indices and heart failure. The study employed multivariable logistic regression, restricted cubic splines, and mediation analysis.

Use Cases

• Predicting heart failure risk in coronary artery disease patients based on obesity-metabolic indices like TyG and METS-IR.
• Analyzing nonlinear dose-response relationships and threshold effects for clinical biomarkers.
• Comparing diagnostic performance of different metabolic indices using ROC and decision curve analysis.
• Investigating renal function as a potential mediator between metabolic indices and heart failure risk.

Strengths

• Data from a multicenter study involving 3872 patients with coronary artery disease.
• Analysis includes four specific obesity-metabolic indices: TyG, TyG-BMI, TyG-WC, and METS-IR.
• Robustness was tested via subgroup and sensitivity analyses as mentioned in the description.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is stored in a DOCX file (1.3 MB), which may require extraction and formatting for analysis.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Xianwei Tian

Collection Method

Multicenter retrospective observational study.

Freshness

Last updated 2026-04-17 04:12:15; freshness should be verified.