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Published on: September 16, 2022
Performance of the Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis in a geographically distant
Lotta Ljung1,2, Peter Ueda1, Katherine P Liao3
1Department of Medicine Solna, Clinical Epidemiology Section, Karolinska Institutet, Stockholm, Sweden.
Insights
The Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis (ERS-RA) effectively stratifies cardiovascular risk in Swedish rheumatoid arthritis patients. However, it may underestimate risk in high-risk individuals and when smoking data is unavailable.
Area of Science:
- Rheumatology
- Cardiovascular Medicine
- Epidemiology
Background:
- Cardiovascular disease is a significant concern for rheumatoid arthritis (RA) patients.
- Accurate risk stratification is crucial for managing cardiovascular (CV) risk in RA.
- The Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis (ERS-RA) was previously developed and validated in US populations.
Purpose of the Study:
- To externally validate the ERS-RA score in an unselected European (Swedish) rheumatoid arthritis cohort.
- To assess the performance of ERS-RA in predicting 10-year CV events in this population.
Main Methods:
- Utilized three large, Swedish Rheumatology Quality register cohorts of RA patients.
- Assessed 10-year CV event rates using Kaplan-Meier methods.
- Evaluated ERS-RA performance using C-index and observed versus predicted risk comparisons.
Main Results:
- The ERS-RA demonstrated good performance with C-indices ranging from 0.75 to 0.78 across cohorts.
- The score accurately predicted risk in lower-risk individuals (≤10% 10-year CV risk).
- Risk was underestimated in high-risk individuals and when smoking data was absent, though calibration improved with smoking data.
Conclusions:
- ERS-RA is a potentially valuable tool for cardiovascular risk stratification in Swedish RA patients.
- Consideration of smoking status and high-risk patient groups may be necessary for optimal ERS-RA application.
- The score supports targeted preventive interventions in clinical rheumatology practice.
Background:
Cardiovascular (CV) risk stratification for patients with rheumatoid arthritis (RA) should facilitate evidence-based management. Prior work has derived an internally validated a CV risk score, the Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis (ERS-RA), using US data. The aim of this study was to perform an external validation among unselected patients with RA from Europe.
Methods:
Three large, partially overlapping, cohorts of patients with RA from the Swedish Rheumatology Quality register were identified for external validation, two with information on smoking and two with close to 10 years of median follow-up. The 10 -year rate of first CV events was assessed using the Kaplan-Meier method. The performance of ERS-RA was assessed using C-index and comparisons of observed versus predicted risks.
Results:
The C-index for ERS-RA varied across the three RA cohorts, from 0.75 to 0.78. Predicted risks corresponded well to observed risks among individuals with ≤10 % observed 10- year CV risk, but underestimated risk in individuals with a higher observed risk. In the absence of data on smoking, ERS-RA underestimated the CV risk by 3.3%, whereas in the cohorts including data on smoking, the calibration was within 1% (0.06% and 0.7%). In the clinically relevant risk intervals (<5%, 5.0%-<7.5%, 7.5%-<10%), ERS-RA performed well.
Conclusions:
In an unselected Swedish population with RA, ERS-RA performed well, although the 10-year CV risk was underestimated in high-risk groups and in the absence of data on smoking. ERS-RA could be considered as a risk stratification tool for targeted preventive interventions in clinical rheumatology practice.
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