Identification of novel biomarkers for the prediction of subclinical coronary artery atherosclerosis in patients with rheumatoid arthritis: an exploratory analysis
Authors' conclusion
In this exploratory analysis, the addition of several circulating CV and RA biomarkers to a standard CV risk calculator yielded significant improvements in discrimination and reclassification for the presence of CAC in individuals with RA.
Study context
- Population
- Individuals with rheumatoid arthritis (RA) in whom a measure of CAC and frozen sera were available39 of 141 proteins measured
- Participants
- 561 individuals
- Comparison
- ACC/AHA score plus circulating biomarkers vs ACC/AHA score without biomarkers
- Outcome
- Prediction of coronary artery calcification (CAC)
Methodological detailstraining/validation split (50:50, random), NRI and IDI reclassification analyses, AUC discrimination analyses
- Training/validation split (50:50, random)
- NRI and IDI reclassification analyses
- AUC discrimination analyses
Performance
As reported in the abstract
Prediction of CAC (NRI and IDI)
- Statistically significant positive net reclassification index and integrated discrimination improvement vs ACC/AHA score without biomarkers
Further findings
- Results confirmed in the validation cohort
Original publication
Identification of novel biomarkers for the prediction of subclinical coronary artery atherosclerosis in patients with rheumatoid arthritis: an exploratory analysis. Arthritis Res Ther. Published 30 October 2023. doi:10.
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