Disease activity predicts the development of cardiovascular events in patients with rheumatoid arthritis from the CARdiovascular in RheuMAtology (CARMA) cohort
Main finding · CV events: incidence and adjusted risk with moderate/high disease activityResult — go to the resultHazard ratio 1.62 95% CI 1.06–22.47Authors' conclusion
Disease activity is a key determinant of CV outcomes in RA patients. The PREVENT-CVD score is an effective tool for CV risk stratification in this population.
Study context
- Population
- Rheumatoid arthritis (RA) patients without prior cardiovascular (CV) events, recruited from 67 hospitals across Spain (CARMA project), 2010–2012
- Participants
- 708 patients6,608 patient-years
- Exposure
- Moderate/high disease activity vs lower disease activity
- CV eventsn = 114
- Outcome
- CV events
- Follow-up
- 10 years
Methodological detailsmulticentre, 10-year follow-up, Cox regression, crude and adjusted for PREVENT-CVD
- Multicentre
- 10-year follow-up
- Cox regression, crude and adjusted for PREVENT-CVD
Main finding
As reported in the abstract
CV events: incidence and adjusted risk with moderate/high disease activity
Hazard ratio
1.62
95% CI 1.06–22.47
P = 0.03
Events by group
CV events
16.1%
114
Moderate/high disease activity (DAS28-ESR>3.2)vs lower disease activity
HR 1.62 (95% CI 1.06–22.47); P = 0.03
Observational data: associations, not effects.
Further findings
Baseline characteristics: age
P < 0.001
Male sex
P < 0.001
Hypertension
P < 0.001
Diabetes
P = 0.001
Dyslipidemia
P = 0.03
Predicted 10-year CV risk (PREVENT-CVD)
P < 0.001
Other predictors
- Higher baseline erythrocyte sedimentation rate (ESR) associated with future CV events
- Higher crude CRP and uric acid associated with increased CV risk; after PREVENT-CVD adjustment associations weakened and became non-significant
Original publication
Disease activity predicts the development of cardiovascular events in patients with rheumatoid arthritis from the CARMA cohort. Semin Arthritis Rheum. Published 18 September 2025. doi:10. 1016/ j. semarthrit. 2025. 152833
Composed by AI from the published abstract and checked against it. How Briefs are made →