Cardiovascular Risk Scores in Axial Spondyloarthritis Versus the General Population: A Cross-sectional Study

Jean W Liew1, John D Reveille2, Maria Castillo3

  • 1J.W. Liew, MD, MS, Division of Rheumatology, Department of Medicine, University of Washington, Seattle, Washington; jwliew@uw.edu.

Insights

Cardiovascular disease risk in axial spondyloarthritis (axSpA) patients is similar to the general population when matched for age, sex, and race. Further research is needed for better CV risk prediction in axSpA.

Area of Science:

  • Rheumatology
  • Cardiology
  • Epidemiology

Background:

  • Cardiovascular (CV) morbidity and mortality are elevated in axial spondyloarthritis (axSpA).
  • Assessing 10-year atherosclerotic cardiovascular disease (ASCVD) risk is crucial for patient management.
  • General population risk scores may not accurately reflect CV risk in axSpA.

Purpose of the Study:

  • To compare the 10-year ASCVD risk between axSpA patients and the general US population.
  • To evaluate the prevalence of a 10-year ASCVD risk score ≥ 7.5% in axSpA.
  • To identify potential disparities in CV risk assessment for axSpA.

Main Methods:

  • A cross-sectional study included 211 adults (40-75 years) with ankylosing spondylitis or nonradiographic axSpA.
  • Matched general population comparators (NHANES cycles 2009-2014) were used (4:1 ratio).
  • Conditional Poisson regression estimated the prevalence ratio for a 10-year ASCVD risk score ≥ 7.5%.

Main Results:

  • The mean 10-year ASCVD risk was 6.7% for axSpA and 9.0% for NHANES comparators.
  • Prevalence of current smoking and diabetes was higher in NHANES comparators.
  • The prevalence ratio for a 10-year ASCVD risk score ≥ 7.5% was 0.96 (95% CI 0.74-1.24).

Conclusions:

  • No significant difference in 10-year ASCVD risk score prevalence was found between axSpA patients and matched general population controls.
  • General population risk scores may underestimate CV risk in axSpA.
  • Improved CV risk prediction models are needed for axSpA patients.
Abstract

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