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The expanded cardiovascular risk prediction score as a cardiovascular mortality predictor in rheumatoid arthritis

Inmaculada Del Rincón1, Jose Félix Restrepo2, Agustin Escalante2

  • 1Division of Rheumatoloy and Clinical Immunology, Department of Medicine, The University of Texas at San Antonio, TX, USA. delrincon@uthscsa.edu.

Insights

The expanded cardiovascular risk prediction score for rheumatoid arthritis (ERS-RA) better predicts cardiovascular death in RA patients than the Framingham score. Carotid intima-media thickness also showed improved prediction over the Framingham score.

Area of Science:

  • Cardiology
  • Rheumatology
  • Epidemiology

Background:

  • Rheumatoid arthritis (RA) is associated with increased cardiovascular (CV) mortality.
  • Accurate prediction of CV risk in RA patients is crucial for timely intervention.
  • Existing CV risk scores may not fully capture the excess risk in RA.

Purpose of the Study:

  • To evaluate the performance of the expanded cardiovascular risk prediction score for rheumatoid arthritis (ERS-RA) in predicting CV mortality.
  • To compare the ERS-RA with the Framingham CV risk score and carotid intima-media thickness (IMT) for CV mortality prediction in RA patients.

Main Methods:

  • A cohort of 1194 RA patients with available ultrasound carotid IMT measurements and clinical data was studied.
  • CV mortality was identified using death certificates and ICDM-9 codes.
  • Performance was assessed by comparing areas under receiver operator characteristic curves (ROC AUC) and reclassification tables.

Main Results:

  • Over 10,063 person-years, 139 CV deaths occurred (1.4 per 100 person-years).
  • The ERS-RA demonstrated the highest predictive performance with an ROC AUC of 0.84.
  • The ERS-RA correctly reclassified 6% of patients compared to the Framingham scale, while carotid IMT reclassified 5%.

Conclusions:

  • The ERS-RA is a superior predictor of CV mortality in RA patients compared to the Framingham score.
  • Carotid IMT also offers improved CV risk prediction in this population.
  • These findings support the use of ERS-RA for enhanced CV risk assessment in RA.
Abstract

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