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Belgian Lung Function Study

Study acronym: AIRCAST
StatusRecruiting
PhaseNot specified
SponsorKU Leuven
Started
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Record History

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  1. Enrollment increased: 4000 → 5000 participants Show 5 more changesShow less
    • Study sites: 4 to 5
    • Eligibility criteria expanded, about 7 words
    • Secondary endpoints: details revised at 3 of 6 entries
    • Collaborators: 3 to 4
    • Study description expanded, about 2 words
  2. Recruitment opened
    • Start date changed from estimate of Mar 1, 2026 to Mar 25, 2026
    • Site details revised at 4 of 4 sites
    v3
  3. Study description expanded, about 4 wordsv2
  4. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
KU Leuven
69 trials monitored
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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.
Trial Details
NCT Number NCT07419555
Lead Sponsor KU Leuven
Collaborators: AZ Delta, University Hospital, Antwerp, Ziekenhuis Oost-Limburg, UZ Gent, Belgium
Conditions
(from sponsor)		 Chronic Respiratory Diseases
Enrollment 5,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov