ERJ Open Research (Jul 2024)

Circulating biomarkers and progression of idiopathic pulmonary fibrosis: data from the INMARK trial

  • Toby M. Maher,
  • R. Gisli Jenkins,
  • Vincent Cottin,
  • Yasuhiko Nishioka,
  • Imre Noth,
  • Moisés Selman,
  • Jin Woo Song,
  • Carina Ittrich,
  • Claudia Diefenbach,
  • Susanne Stowasser,
  • Eric S. White

DOI
https://doi.org/10.1183/23120541.00335-2023
Journal volume & issue
Vol. 10, no. 4

Abstract

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Background We used data from the INMARK trial to investigate associations between circulating biomarkers of extracellular matrix (ECM) turnover, inflammation and epithelial dysfunction and disease progression in subjects with idiopathic pulmonary fibrosis (IPF). Methods Subjects with IPF and forced vital capacity (FVC) ≥80% predicted were randomised 1:2 to receive nintedanib 150 mg twice daily or placebo for 12 weeks followed by open-label nintedanib for 40 weeks. Associations between baseline biomarker levels and the proportion of subjects with disease progression (decline in FVC ≥10% predicted or death) over 52 weeks were assessed in subjects randomised to placebo using logistic regression. Associations between baseline demographic/clinical characteristics and biomarker levels and disease progression over 52 weeks were analysed using multivariate models. Results Of 230 subjects who received placebo for 12 weeks then open-label nintedanib for 40 weeks, 70 (30.4%) had disease progression over 52 weeks. Baseline levels of CRPM (C-reactive protein (CRP) degraded by matrix metalloproteinase (MMP)-1/8), C3M (collagen 3 degraded by MMP-9), CRP, KL-6 (Krebs von den Lungen-6) and SP-D (surfactant protein D) were not significantly associated with disease progression over 52 weeks in analyses corrected for multiple comparisons. In models including only baseline demographic/clinical characteristics, 61.2–64.2% of subjects were correctly classified as having or not having disease progression over 52 weeks. When both demographic/clinical characteristics and biomarker levels were included in the models, 50.0–64.5% of the test set were correctly classified. Conclusions Among subjects with IPF and preserved FVC, multivariate models based on demographic/clinical characteristics and biomarker levels at baseline did not provide an accurate prediction of which patients would progress.