Building a tool to sort adults with non-cystic fibrosis bronchiectasis into types
Tests a model that sorts adults with bronchiectasis into types from baseline information.
Plain-language title generated from the registry record
Registry title: Bronchiectasis Phenotype Identification Model
Key facts
- Where
- Asyut, EgyptSee the site
Where in Egypt
- Assiut University- Faculty of MedicineAsyut, EgyptTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Assiut University
- Trial code
- NCT07599969
- Record updated
- 20 May 2026
- Original description
The Bronchiectasis Phenotype Identification Model (BPIM) is a prospective observational development-validation study within the Assiut University bronchiectasis translational research platform.Read full original descriptionShow less
BPIM: Bronchiectasis Phenotype Identification Model for Supervised Baseline Translation of Latent Class Trajectory Analysis-Derived Phenotypes in Non-Cystic Fibrosis Bronchiectasis
The Bronchiectasis Phenotype Identification Model (BPIM) is a prospective observational development-validation study within the Assiut University bronchiectasis translational research platform.
The study evaluates whether latent class trajectory analysis (LCTA)-derived bronchiectasis phenotype classes can be translated into a supervised baseline classifier for adults with non-cystic fibrosis bronchiectasis (NCFB).
Latent class trajectory analysis (LCTA) will first identify trajectory-derived phenotype classes using prospectively collected longitudinal disease-signature data. The Bronchiectasis Phenotype Identification Model (BPIM) will then be trained to predict the accepted latent class trajectory analysis (LCTA)-derived phenotype class using the locked baseline disease-signature architecture.
This study is observational and non-interventional. No treatment, medication, intervention, exposure, or management strategy is assigned by the protocol. All participants receive routine clinical care according to institutional practice and treating physician judgment.
The locked methodological disclosure, protocol, and deterministic statistical analysis plan are archived in the version-specific Zenodo record: https://doi.org/10.5281/zenodo.20157926.
Inclusion: Adult patients aged 18 years or older; Diagnosis of non-cystic fibrosis bronchiectasis (NCFB) based on clinical assessment and high-resolution computed tomography (HRCT); Patients attending outpatient clinics, inpatient wards, or respiratory follow-up services at Assiut University Hospitals during the study enrollment period; Patients suitable for baseline disease-signature assessment within the Bronchiectasis Phenotype Identification Model (BPIM) framework; Ability to undergo routine clinical, functional, radiological, oxygenation, and inflammatory assessment according to the study protocol; Ability to complete planned longitudinal follow-up required for latent class trajectory analysis (LCTA) and Bronchiectasis Phenotype Identification Model (BPIM) validation; Written informed consent obtained from the patient or legal representative.
Exclusion: Recent major thoracic surgery or acute thoracic trauma interfering with baseline respiratory assessment; Traction bronchiectasis due to advanced fibrotic interstitial lung disease as the dominant respiratory diagnosis; Active pulmonary tuberculosis at enrollment; Active nontuberculous mycobacterial pulmonary disease requiring specific treatment at enrollment; Active malignancy or terminal non-respiratory illness expected to prevent planned follow-up; Acute life-threatening illness preventing safe enrollment or reliable baseline assessment; Inability to complete required baseline disease-signature assessment according to the Bronchiectasis Phenotype Identification Model (BPIM) protocol; Cystic fibrosis-related bronchiectasis; Inability or unwillingness to complete planned longitudinal follow-up; Refusal to participate.