Development and validation of a risk stratification model for cardiovascular disease in patients with radiographic axial spondyloarthritis (r-axSpA): a retrospective study - Summary - MDSpire
Advertisement
Development and validation of a risk stratification model for cardiovascular disease in patients with radiographic axial spondyloarthritis (r-axSpA): a retrospective study
To develop a parsimonious risk stratification model for cardiovascular disease (CVD) risk in patients with radiographic axial spondyloarthritis (r-axSpA) using routine clinical variables.
Key Findings:
Identified four independent predictors: age, hypertension, diabetes mellitus, and alkaline phosphatase (ALP).
Model showed excellent discriminative ability in the training set (AUC = 0.888) and acceptable performance in the validation set (AUC = 0.741).
Calibration was satisfactory (Brier score: 0.115) and decision curve analysis confirmed positive net benefit.
Interpretation:
The study developed a simple yet robust risk stratification tool for CVD in r-axSpA patients, highlighting ALP as a novel predictor.
Limitations:
Retrospective design limits causal inference.
Data collected from a single center may affect generalizability.
No longitudinal follow-up for incident CVD events.
Conclusion:
External validation in prospective cohorts is warranted before clinical implementation.
The nurse practitioner profession claims the No. 1 spot across three categories in the U.S. News & World Report 2026 Best Jobs rankings for the third consecutive year.
