Serum ANGPTL4 Levels and Coronary Artery Calcification Scores from 600 Patients

600 individuals who underwent coronary CT scans at Beijing Anzhen Hospital were enrolled in this study. The dataset includes Agatston coronary artery calcification scores (CACS) and serum Angiopoietin-like protein 4 (ANGPTL4) levels measured via ELISA. It was used to develop a predictive nomogram for severe CAC, authored by Yan Sun and last updated in May 2026.

Use Cases

• Predicting severe coronary artery calcification risk based on serum ANGPTL4 levels and clinical variables.
• Validating ANGPTL4 as a biomarker for vascular calcification independent of other risk factors.
• Training logistic regression models using LASSO-selected features like age, smoking status, and HbA1c.

Strengths

• Includes data from 600 individuals with confirmed coronary artery calcification scores.
• Features a predictive model with an AUC of 0.708 for severe CAC.
• Explicitly measures serum ANGPTL4 levels using a standardized ELISA kit.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to a single hospital cohort in Beijing.

Provenance

Source

Beijing Anzhen Hospital

Collection Method

Clinical data collection from patients undergoing multi-slice computed tomography (CT) of the coronary arteries.

Freshness

Last updated 2026-05-07 05:43:51; freshness should be verified.

Geography

Beijing, China