Belgian Lung Function Study
Recruiting now
Conditions studied: Chronic Respiratory Diseases
In brief
Currently, it remains unclear how to manage serial lung function measurements in a clinical setting. The investigators aimed to tackle this problem by developing a machine learning (ML) model that can accurately predict population and individual lung function trajectories. These predictions would enable the investigators to identify positive or negative deviations, thereby revealing unexpected disease patterns. A prospective validation is needed that includes data on mortality, hospitalisations, emergency-room visits and patient-reported outcomes. Within this study, the goal is to validate the ML model with the data collected from this observational study.
Key facts
- Study ID
- NCT07419555
- Run by
- KU Leuven
- People needed
- 4000
- Starts
- 2026-03-25
- Expected to finish
- 2029-03-01
- Last updated by the study team
- 2026-03-30
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Above 18 years old
- Diagnosed with a chronic respiratory disease and followed up in one of the participating Belgian hospitals
- Performed a complete lung function test (spirometry, body plethysmography and diffusion capacity) at baseline
- Have at least 3 historical spirometry measurements over a minimal time window of 2 years prior to inclusion
- Planned routine follow-up within standard clinical care in one of the participating hospitals
You may not qualify if…
- Patients who have had a lung transplantation
- Patients not being able to give consent to participate
Where it is running
- UZ Leuven — Leuven, Belgium (enrolling)
- UZ Antwerpen — Edegem, Belgium
- Ziekenhuis Oost-Limburg — Genk, Belgium
- AZ Delta — Roeselare, Belgium
Full record on ClinicalTrials.gov
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