NCT07770854Completed
Machine Learning Prediction of Pulmonary Function in Children With Cystic Fibrosis
Machine Learning Prediction of Pulmonary Function in Children With Cystic Fibrosis: Multidimensional Analysis of Peripheral Muscle Oxygenation, Postural Balance, and Clinical-Functional Markers
Source: ClinicalTrials.gov · Last updated 18 Aug 2026
Brief summary (registry, in English)
Cystic fibrosis is a multisystem genetic disorder characterized by progressive pulmonary impairment and extrapulmonary limitations. This retrospective observational study will perform a secondary analysis of previously collected data from children with cystic fibrosis. The primary objective is to determine the relative contribution of peripheral muscle oxygenation and postural balance parameters to the prediction of pulmonary function, including forced expiratory volume in 1 second, forced vital capacity, and peak expiratory flow, using machine-learning regression methods. The additional contribution of exercise-related oxygen saturation responses, symptoms, nutritional and anthropometric characteristics, physical activity, respiratory muscle function, quality of life, treatment burden, and disease-related clinical variables will also be examined. No new assessment, intervention, or participant contact will occur.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 31 (actual)
- First submitted
- 10 Aug 2026
- Start date
- 1 Jan 2021
- Primary completion date
- 1 Feb 2025
- Lead sponsor
- Gazi University
- Diseases
- Cystic fibrosis
- NCT number
- NCT07770854
What you commit to
- Study type: Observational
- Participants enrolled: 31
- From 1 Jan 2021 to the primary completion date, 1 Feb 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Systemic corticosteroid use
Other illness
- Diagnosed visual, hearing, vestibular, or neurological disorder that could affect balance
- History of COVID-19 or tobacco use
- Orthopedic disorder affecting mobility or history of musculoskeletal surgery
- Allergic bronchopulmonary aspergillosis
- History of lung or liver transplantation
- Pulmonary hypertension or cardiovascular instability
Other
- Hospitalization within the month preceding the source assessment
- Participation in a structured exercise training program within the 3 months preceding the source assessment
- Acute pulmonary exacerbation at the time of assessment
- Missing archived records required for the principal analyses
Who the study is looking for
- Age 6 to 18 years at the time of the source assessment
- Diagnosis of cystic fibrosis according to the criteria specified in the Cystic Fibrosis Foundation consensus report
- Clinically stable at the time of the source assessment
- Receiving standard medical treatment
- Written informed consent/assent from the participant and parent or legal guardian for participation in the source study
- Availability of archived data for the principal variables required for the present analysis
Age in the registry: 6 years to 18 years · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Gazi University Faculty of Health Sciences Department of Cardiopulmonary Physiotherapy and Rehabilitation, Ankara, Çankaya 06490 Coordinator of this site? Confirm its status | Ankara | Turkey (Türkiye) | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.