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OPEN-IPF: Observational Prediction modEl for cliNical Outcomes in Idiopathic Pulmonary Fibrosis

Observational Prediction Model for Clinical Outcomes in Idiopathic Pulmonary Fibrosis: a Multicentre, ML-driven Study (OPEN-IPF)

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07404423
Acronym
OPEN-IPF
Enrollment
1000
Registered
2026-02-11
Start date
2026-06-01
Completion date
2027-06-01
Last updated
2026-02-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Idiopathic Pulmonary Fibrosis

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

University of Modena and Reggio Emilia
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

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

MeasureTime frameDescription
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

MeasureTime frameDescription
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 therapyFrom 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 survivalFrom baseline to end of follow-up (maximum: 31 December 2025)Time from baseline to death from any cause.
Transplant-free survivalFrom 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 eventFrom baseline to end of follow-up (maximum: 31 December 2025)Time from baseline to first occurrence of disease progression or AE-IPF.

Contacts

CONTACTRoberto Tonelli, MD, PhD
rtonelli@unimore.it0039059425934
CONTACTStefania Cerri, MD, PhD
stefania.cerri@unimore.it00390594225335

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 12, 2026