Serum Biomarkers of Pulmonary Damage and Risk for Progression of Rheumatoid Arthritis-Associated Interstitial Lung Disease

Abstract

Objective: To investigate baseline and change of pulmonary damage biomarkers (serum Krebs von den Lungen 6 [KL-6], human surfactant protein D [hSP-D], and matrix metalloproteinase 7 [MMP-7]) with rheumatoid arthritis-associated interstitial lung disease (RA-ILD) progression.

Methods: In the Korean Rheumatoid Arthritis Interstitial Lung Disease (KORAIL) cohort, a prospective cohort, we enrolled patients with RA and ILD confirmed by chest computed tomography imaging and followed annually. ILD progression was defined as worsening in physiological and radiological domains of the 2022 American Thoracic Society, European Respiratory Society, Japanese Respiratory Society, and Latin American Thoracic Society guideline for progressive pulmonary fibrosis (PPF). Associations between biomarkers and RA-ILD progression were analyzed using multivariable Cox regression, adjusting for potential confounders.

Results: We analyzed 136 patients with RA-ILD (mean age 66.5 yrs, 30% male, 60.3% with usual interstitial pneumonia pattern). During a median 3.0 years of follow-up, 47 patients (34.6%) experienced progression. Higher baseline KL-6 and hSP-D levels were associated with higher risk of ILD progression (multivariable hazard ratios [HRs] 1.37 [95% CI 1.03-1.82] and 1.51 [95% CI 1.09-2.08], respectively), whereas only the highest quartile of MMP-7 showed an increased risk (multivariable HR 2.60 [95% CI 1.07-6.33]). Increasing levels of serum KL-6 at 1 year showed the strongest association with progression (ΔKL-6: multivariable HR 2.00 [95% CI 1.29-3.11]), additionally adjusting for baseline biomarker levels.

Conclusion: In this first prospective study to apply PPF criteria to RA-ILD, 34.6% progressed over 3 years. Higher baseline KL-6 and hSP-D were associated with progression. In follow-up, greater change in KL-6 was associated with progression. Serial measurement of pulmonary damage biomarkers may predict RA-ILD progression and may be helpful in monitoring patients and treatment decisions.