Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease with marked inter-individual heterogeneity in trajectories and outcomes. Despite antifibrotic therapies, reliable risk stratification in routine practice remains suboptimal. OPEN-IPF is a multicentre retrospective observational cohort study designed to build a harmonised real-world dataset across Italian IPF referral centres to enable the development and external validation of machine-learning (ML) models predicting clinically relevant outcomes.
Age ≥18 years
Diagnosis of idiopathic pulmonary fibrosis established according to international guidelines and local multidisciplinary team (MDT) assessment
Availability of baseline clinical and functional data
Availability of follow-up data for at least 12 months, or until a clinically relevant event (e.g., death, lung transplantation)
Interstitial lung disease other than IPF
Lung transplantation performed before the baseline (index) date
Absence of any follow-up information after baseline