Idiopathic Pulmonary Fibrosis
Conditions
Keywords
Idiopathic pulmonary fibrosis, IPF, Disease progression, Acute exacerbation, Antifibrotic therapy, Nintedanib, Pirfenidone, Real-world data, Machine learning, Prognostic model, External validation, Multicentre cohort
Brief summary
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.
Detailed description
OPEN-IPF addresses the current limitation of AI/ML research in IPF-namely, the lack of large multicentre real-world datasets with harmonised variables and robust external validation. The study will retrospectively include adult patients with IPF followed in routine practice in participating Italian referral centres from 1 January 2015 to 31 December 2025 (data lock). No study-specific procedures will be performed. De-identified/pseudonymised data will be collected using a common data model, including demographics, smoking history, comorbidities, pulmonary function (FVC, DLCO), oxygen requirement, 6-minute walk test (where available), antifibrotic treatment exposure, HRCT features routinely reported, basic laboratory parameters, and clinical outcomes. The primary modelling targets are disease progression, acute exacerbations of IPF (AE-IPF), and real-world response to antifibrotic treatment. Model development will be performed using multicentre data with explicit external validation across centres
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* 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)
Exclusion criteria
* Interstitial lung disease other than IPF * Lung transplantation performed before the baseline (index) date * Absence of any follow-up information after baseline
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Disease progression (guideline-based functional/composite criteria) | From baseline (index date) up to 12 months and up to end of available follow-up (maximum: 31 December 2025) | Disease progression defined using guideline-based criteria derived from routinely collected clinical data (e.g., decline in lung function and/or composite progression definitions as per the shared operational document). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Acute exacerbation of IPF (AE-IPF) | From baseline to end of follow-up (maximum: 31 December 2025) | Occurrence of AE-IPF during follow-up, adjudicated from routine clinical documentation using standardised operational definitions shared across centres. |
| Real-world response to antifibrotic therapy | From treatment initiation (or baseline if already treated) up to 12 months and end of follow-up (maximum: 31 December 2025) | Treatment response assessed in routine clinical practice using longitudinal clinical/functional data and treatment exposure information (type, start, discontinuation) |
| Overall survival | From baseline to end of follow-up (maximum: 31 December 2025) | Time from baseline to death from any cause. |
| Transplant-free survival | From baseline to end of follow-up (maximum: 31 December 2025) | Time from baseline to lung transplantation or death. |
| Time to first progression or AE-IPF event | From baseline to end of follow-up (maximum: 31 December 2025) | Time from baseline to first occurrence of disease progression or AE-IPF. |