CTRP9 Biomarker and Vascular Calcification Data for Coronary Heart Disease Patients

Supplementary file 2 contains data from a cross-sectional observational study of 900 coronary heart disease patients. Yanru Duan published the dataset on figshare in April 2026. The study evaluated circulating CTRP9 levels, aortic valve calcification, and coronary artery calcification.

Use Cases

• Predicting coronary artery calcification severity based on CTRP9 biomarker levels mentioned in the description
• Analyzing the correlation between aortic valve calcification and coronary artery calcification as described in the study
• Evaluating the combined predictive power of CTRP9 and aortic valve calcification for severe coronary artery calcification
• Building logistic regression models to identify determinants of coronary artery calcification as referenced in the methods

Strengths

• The dataset is derived from a study with 900 coronary heart disease patients.
• The study includes both human clinical data and experimental mouse model data, as described in the methods.
• Results include specific statistical metrics, such as an odds ratio of 0.156 and an AUC of 0.843 for combined prediction.

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 a single DOCX file of 217.6 KB, indicating a limited scope and likely summary data rather than raw records.

Provenance

Source

figshare

Collection Method

Cross-sectional observational study involving echocardiography, optical coherence tomography, and serum CTRP9 measurement.

Freshness

Last updated 2026-04-29 05:40:56; freshness should be verified.