Spondyloarthritis & psoriatic arthritis
Use of risk chart algorithms for the identification of psoriatic arthritis patients at high risk for cardiovascular disease: findings derived from the project CARMA cohort after a 7.5-year follow-up period
Authors' conclusion
Risk chart algorithms are very useful for discriminating PsA at low and high CV risk. An integrated model featuring QRISK3 and SCORE2 yielded the optimal synergy of QRISK3's discrimination ability and SCORE2's calibration accuracy.
Study context
- Population
- Psoriatic arthritis (PsA) patients with no history of cardiovascular (CV) events at baseline, Spanish prospective CARMA project, rheumatology outpatient clinics at tertiary centres
- Participants
- 669 patients
- Exposure
- Four CV risk algorithms: SCORE, mSCORE EULAR 2015/2016, SCORE2 and QRISK3
- Outcome
- Predictive value of CV risk algorithms for CV events
- Follow-up
- 7.5 years
Methodological detailsretrospective analysis of baseline data, tertiary centres, 7.5-year follow-up
- Retrospective analysis of baseline data
- Tertiary centres
- 7.5-year follow-up
Main finding
As reported in the abstract
CV events and performance of CV risk algorithms
- CV events over 4790 years of follow-up
- 34
- Linearised CV event rate per 1000 person-years
- 7.10 (95% CI 4.92 to 9.92)
- All four CV risk scales significantly associated with CV events
- p<0.001
- QRISK3 + SCORE2 combination, Akaike information criterion (lowest; best predictive model)
- 411.15
- QRISK3 + SCORE2 combination, Bayesian information criterion (lowest)
- 420.10
Observational data: associations, not effects.
Original publication
Use of risk chart algorithms for the identification of psoriatic arthritis patients at high risk for cardiovascular disease: findings derived from the project CARMA cohort after a 7.5-year follow-up period. RMD Open. Published 17 April 2024. doi:10.
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