Machine Learning Prediction of Pulmonary Function in Children With Cystic Fibrosis

NCT07770854 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 31

Last updated 2026-08-18

No results posted yet for this study

Summary

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.

Conditions

  • Cystic Fibrosis (CF)

Interventions

OTHER

Archived Multidimensional Clinical and Functional Assessment Data

Secondary analysis of archived spirometry, near-infrared spectroscopy, postural balance, exercise capacity, respiratory muscle function, physical activity, quality-of-life, anthropometric, and clinical data. No new assessment or intervention is administered.

Sponsors & Collaborators

  • Gazi University

    lead OTHER

Principal Investigators

  • Elif KELES GULNERMAN, MD, PhD · Department of Radiology, Feinberg School of Medicine, Northwestern University

  • Meral BOŞNAK GÜÇLÜ, Prof. · Gazi University

  • Betül Yoleri, MSc · Gazi University

  • Ulas BAGCI, Prof. · Department of Radiology, Feinberg School of Medicine, Northwestern University

Eligibility

Min Age
6 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2025-02-01
Completion
2025-03-01

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07770854 on ClinicalTrials.gov