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Phenotyping by persistent inflammation in systemic sclerosis associated interstitial lung disease: a EUSTAR database

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Systemic sclerosis with persistent inflammation significantly increases mortality risk in SSc-ILD patients. Early immunosuppressive treatment stabilizes lung function in the inflammatory phenotype of systemic sclerosis.

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Area of Science:

  • Rheumatology
  • Pulmonology
  • Immunology

Background:

  • Systemic sclerosis (SSc) is a complex autoimmune disease.
  • Interstitial lung disease (SSc-ILD) is a common and serious complication of SSc.
  • Inflammation plays a critical role in SSc pathogenesis and progression.

Purpose of the Study:

  • To evaluate the prognostic value of phenotyping SSc and SSc-ILD patients based on inflammation levels.
  • To characterize disease trajectories in SSc and SSc-ILD stratified by inflammatory status and immunosuppressive treatment.

Main Methods:

  • Utilized data from the European Scleroderma Trials and Research (EUSTAR) cohort.
  • Classified patients into persistent inflammatory, intermediate, and non-inflammatory phenotypes based on C-reactive protein (CRP) levels.
  • Employed Cox regression for mortality risk analysis and mixed-effects models for FVC and DLCO trajectory analysis.

Main Results:

  • Patients with SSc-ILD and a persistent inflammatory phenotype faced a 6.7-fold higher 5-year mortality risk compared to non-inflammatory phenotypes.
  • In the inflammatory phenotype, forced vital capacity (FVC) declined without treatment but stabilized with immunosuppressive therapy.
  • FVC declined in the non-inflammatory phenotype, with a more pronounced decline observed in patients receiving immunosuppressive treatment.

Conclusions:

  • Phenotyping by persistent inflammation offers significant prognostic insights in SSc and SSc-ILD, independent of other clinical factors.
  • Early immunosuppressive treatment is recommended for SSc-ILD patients exhibiting persistent inflammation.
  • Inflammation-based phenotyping can guide treatment decisions and improve outcomes in SSc-ILD.