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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.
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
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| Measure | Description | Time Frame |
|---|---|---|
| Disease progression (guideline-based functional/composite criteria) | 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). | From baseline (index date) up to 12 months and up to end of available follow-up (maximum: 31 December 2025) |
| Measure | Description | Time Frame |
|---|---|---|
| Acute exacerbation of IPF (AE-IPF) | Occurrence of AE-IPF during follow-up, adjudicated from routine clinical documentation using standardised operational definitions shared across centres. | From baseline to end of follow-up (maximum: 31 December 2025) |
| Real-world response to antifibrotic therapy |
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Inclusion Criteria:
Exclusion Criteria:
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Adults with idiopathic pulmonary fibrosis diagnosed according to international guidelines and local multidisciplinary team assessment, followed in routine care at participating Italian referral centres.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Roberto Tonelli, MD, PhD | Contact | 0039059425934 | rtonelli@unimore.it | |
| Stefania Cerri, MD, PhD | Contact | 00390594225335 | stefania.cerri@unimore.it |
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| ID | Term |
|---|---|
| D054990 | Idiopathic Pulmonary Fibrosis |
| D018450 | Disease Progression |
| ID | Term |
|---|---|
| D011658 | Pulmonary Fibrosis |
| D017563 | Lung Diseases, Interstitial |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
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Treatment response assessed in routine clinical practice using longitudinal clinical/functional data and treatment exposure information (type, start, discontinuation) |
| From treatment initiation (or baseline if already treated) up to 12 months and end of follow-up (maximum: 31 December 2025) |
| Overall survival | Time from baseline to death from any cause. | From baseline to end of follow-up (maximum: 31 December 2025) |
| Transplant-free survival | Time from baseline to lung transplantation or death. | From baseline to end of follow-up (maximum: 31 December 2025) |
| Time to first progression or AE-IPF event | Time from baseline to first occurrence of disease progression or AE-IPF. | From baseline to end of follow-up (maximum: 31 December 2025) |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |