Peripheral Biomarker Signatures in Rheumatoid Arthritis–Associated Interstitial Lung Disease
Authors' conclusion
Peripheral biomarker signatures are associated with RA-ILD and improve RA-ILD identification beyond clinical risk factors.
Study context
- Population
- Participants with RA in the Veterans Affairs Rheumatoid Arthritis Registry (88.7% male, mean age 63.7 years)121 (6.4%) with RA-ILD
- Participants
- 2,001 participants
- Exposure
- Models predicting RA-ILD: clinical risk factors alone vs principal component (PCs) vs PCs with MUC5B
- Outcome
- Discrimination of RA-ILD presence (AUC) by models combining clinical, peripheral biomarker and genetic variables
Methodological detailsprincipal component analysis, logistic regression
- Principal component analysis
- Logistic regression
Main finding
As reported in the abstract
RA-ILD discrimination (AUC)
PCs
0.739
AUC
PCs with MUC5B
0.751
AUC
Clinical risk factors alone
0.630
AUC
P < 0.001
Observational data: associations, not effects.
Further findings
PCs associated with RA-ILD after adjusting for clinical factors
- PCs identified
- 15
- PCs significantly associated with RA-ILD (innate and allergic responses, autoantibodies [anti-CCP, RF, anti-MAA], adipokines, alarmins, tissue remodeling, neutrophil chemotaxis)
- 8
Original publication
Peripheral Biomarker Signatures in Rheumatoid Arthritis–Associated Interstitial Lung Disease. Arthritis Rheumatol. Published 7 April 2025. doi:10.
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