Development and validation of a risk stratification model for cardiovascular disease in patients with radiographic axial spondyloarthritis (r-axSpA): a retrospective study - Scorecard - MDSpire

Development and validation of a risk stratification model for cardiovascular disease in patients with radiographic axial spondyloarthritis (r-axSpA): a retrospective study

  • By

  • Ting Tan

  • Minglun Xiao

  • Liang Zhou

  • Zhongqun Wen

  • Xinyi Hu

  • Yuanjun Zheng

  • Zeyan Peng

  • June 8, 2026

  • 0 min

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Clinical Scorecard: Creation and assessment of a risk assessment framework for cardiovascular disease among individuals with radiographic axial spondyloarthritis (r-axSpA): a retrospective analysis

At a Glance

CategoryDetail
ConditionCardiovascular disease in patients with radiographic axial spondyloarthritis (r-axSpA)
Key MechanismsAge, hypertension, diabetes mellitus, alkaline phosphatase (ALP)
Target PopulationPatients with radiographic axial spondyloarthritis (r-axSpA)
Care SettingSingle-center, retrospective cross-sectional study

Key Highlights

  • Developed a risk stratification model for CVD in r-axSpA patients
  • Identified four independent predictors: age, hypertension, diabetes mellitus, ALP
  • Model demonstrated excellent discriminative ability (AUC = 0.888) in training set
  • Calibration was satisfactory (Brier score: 0.115)
  • Positive net benefit confirmed by decision curve analysis

Guideline-Based Recommendations

Diagnosis

  • Diagnosis of r-axSpA based on modified New York criteria of 1984

Management

  • Use of routine clinical variables for risk assessment of CVD

Monitoring & Follow-up

  • Monitor identified predictors in r-axSpA patients for CVD risk

Risks

  • Increased risk of CVD in r-axSpA patients compared to the general population

Patient & Prescribing Data

259 r-axSpA patients, including 65 with CVD

Routine clinical variables can be used for risk stratification

Clinical Best Practices

  • Implement routine assessment of CVD risk in r-axSpA patients
  • Consider ALP as a novel predictor in risk assessment

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