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Evaluating the reliability of cardiovascular risk scales in patients with chronic inflammatory rheumatic diseases
Javier Llorca1, Iván Ferraz-Amaro2, Santos Castañeda3
1CIBER Epidemiología y Salud Pública (CIBERESP) and Department of Medical and Surgical Sciences, University of Cantabria; Santander, Spain.
Insights
Cardiovascular disease risk scores SCORE2, PREVENT-CVD, and PREVENT-ASCVD showed high correlation in chronic inflammatory rheumatic diseases (CIRD) patients. These scores may be interchangeable for identifying high-risk individuals, unlike QRISK3.
Area of Science:
- Rheumatology
- Cardiovascular Medicine
- Epidemiology
Background:
- Chronic inflammatory rheumatic diseases (CIRD) are associated with increased cardiovascular disease (CVD) risk.
- Accurate CVD risk estimation is crucial for managing patients with CIRD.
- Several risk prediction models exist, but their performance in CIRD populations requires evaluation.
Purpose of the Study:
- To compare the performance of QRISK3, SCORE2, and PREVENT risk estimators in a Spanish cohort of CIRD patients.
- To assess the reliability and interchangeability of these CVD risk scores in this specific population.
Main Methods:
- The CARMA project enrolled 2080 CIRD patients (rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis) from 67 Spanish hospitals.
- 10-year CVD incidence risk scores were calculated using QRISK3, SCORE2, PREVENT-CVD, and PREVENT-ASCVD based on recruitment data.
- Patient data were assessed at a 10-year follow-up.
Main Results:
- QRISK3 and PREVENT-CVD predicted approximately 10% CV events, while SCORE2 and PREVENT-ASCVD predicted 6.3%.
- High linear correlation (average 0.9074) was observed between risk scores, with lower correlation involving QRISK3.
- SCORE2, PREVENT-CVD, and PREVENT-ASCVD showed higher agreement (kappa index) in identifying high-risk patients compared to QRISK3.
Conclusions:
- SCORE2, PREVENT-CVD, and PREVENT-ASCVD demonstrate high correlation and reliability in CIRD patients.
- These three risk scores appear largely interchangeable for identifying high-risk individuals within this cohort.
- QRISK3 showed lower agreement with the other risk stratification tools.
Objective:
To compare the performance of the QRESEARCH risk estimator version 3 (QRISK3), the Systematic COronary Risk Evaluation (SCORE) 2, and Predicting Risk of cardiovascular disease EVENTs (PREVENT) equationin a cohort of individuals with chronic inflammatory rheumatic diseases (CIRD) enrolled in the Spanish prospective CARdiovascular in RheuMAtology (CARMA) project.
Methods:
Between July 2010 and January 2012, the study recruited CIRD patients from 67 hospitals across Spain. It included individuals diagnosed with rheumatoid arthritis, ankylosing spondylitis, and psoriatic arthritis. At the 10-year follow-up, data for all patients included in the initial cohort were assessed. We estimated four 10-year cardiovascular disease (CVD) incidence risk scores using data recorded at recruitment.
Results:
2080 patients were included in this analysis. QRISK3 and PREVENT-CVD predicted an average of approximately 10 % CV events across the entire cohort, while SCORE2 and PREVENT-Atherosclerotic Cardiovascular Disease (ASCVD) predicted an average of only 6.3 %. The linear correlation coefficients between each pair of scales were consistently above 0.8, with an average of 0.9074. Notably, lower correlations were observed between QRISK3 and the other scales. When identifying patients with higher CV risk, the kappa index was higher between SCORE2, PREVENT-CVD, and PREVENT-ASCVD than between QRISK3 and any other scale. These findings suggest that most patients identified as high-risk by SCORE2 would also be classified as high-risk when using PREVENT-CVD or PREVENT-ASCVD.
Conclusions:
The higher correlation and reliability observed between SCORE2, PREVENT-CVD, and PREVENT-ASCVD in our series of CIRD patients followed over a 10-year period suggest that these scales may be largely interchangeable for identifying high-risk CIRD patients.
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