Integrated Biomarkers and Cardiac Phenotypes Associated with Atrial Fibrillation

Data Sheet 1 contains data from a hospital-based observational study of 270 consecutive patients hospitalized at the Second Affiliated Hospital of Wannan Medical University between August 2023 and December 2025. The dataset was created by Xuli Chen to investigate the association between the BNP/LVEF biomarker ratio and atrial fibrillation. It includes patient-level data likely containing biomarker measurements, cardiac phenotypes, and AF diagnosis status.

Use Cases

• Training a binary classification model to predict atrial fibrillation risk based on the BNP/LVEF biomarker ratio.
• Analyzing non-linear relationships between biomarker levels and cardiac outcomes using restricted cubic spline methods.
• Conducting subgroup analyses to evaluate effect modification by factors like sex, smoking, or coronary heart disease status.
• Assessing the discriminatory performance of a clinical biomarker for disease stratification via ROC curve analysis.

Strengths

• Dataset includes 270 patient records from a real-world hospital setting.
• The study reports a specific association (OR, 1.02; 95% CI, 1.01–1.04) and a good discriminatory ability (AUC = 0.84) for the biomarker.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (145.5 KB), indicating limited scope.

Provenance

Source

figshare, author Xuli Chen.

Collection Method

Hospital-based observational study of consecutive patients.

Time Range

August 2023 to December 2025.

Freshness

Last updated 2026-05-15 04:21:39; freshness should be verified.

Geography

Patients hospitalized at the Second Affiliated Hospital of Wannan Medical University.