Actively Recruiting
Feasibility of Cough Monitoring in Children
Led by University of Colorado, Denver · Updated on 2024-09-19
40
Participants Needed
1
Research Sites
39 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Cystic fibrosis (CF) is a disease characterized by chronic airway infection and impaired mucociliary clearance, which predisposes those affected to recurrent pulmonary exacerbations (PEx) and progressive decline in lung function. Treatment with elexacaftor/tezacaftor/ivacaftor (ETI) results in decreases in patient-reported cough and PEx. Despite this, increased cough remains the most common symptom associated with acute PEx and worsening lung disease. Cough frequency was historically difficult to measure due to reliance on human input. Recent advances in audio capture and signal processing have made automated cough detection possible. As a result there's been a surge in development of portable cough monitors, as cough is increasingly recognized as a measurable parameter of respiratory disease. The majority of cough monitors have been designed for use in adults, and little is known about the practicality of collecting cough data in the pediatric population. In this study investigators aim to assess the feasibility of using an in-home device to capture nighttime cough frequency in children with and without CF. Investigators plan to compare nighttime cough frequency between children with and without CF and, among children with CF, and determine the association between cough frequency and baseline lung function. Additionally, investigators aim to evaluate the changes in nighttime cough frequency in relationship to respiratory symptom scores surrounding clinician diagnosed pulmonary exacerbations. This study will provide important preliminary data needed for a larger study assessing the utility of home cough monitoring for clinical care and for use of cough as a clinical outcome measure in research studies.
CONDITIONS
Official Title
Feasibility of Cough Monitoring in Children
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Diagnosis of cystic fibrosis based on 2 known CFTR mutations and/or sweat chloride greater than 60 mmol/L
- Ages 1 to 18 years
- Clinically stable at the time of consent
- Ages 1 to 18 years for healthy controls
You will not qualify if you...
- Use of nocturnal positive pressure or supplemental oxygen
- Shared bedroom with sibling
- Use of oral or IV antibiotics within the past 2 weeks except for chronic azithromycin use
- Shared custody (splitting time between households)
- Underlying chronic respiratory or cardiac conditions including chronic cough, cystic fibrosis, asthma, obstructive sleep apnea, congenital heart disease, or other conditions causing chronic nighttime symptoms
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Children's Hospital of Colorado
Aurora, Colorado, United States, 80045
Actively Recruiting
Research Team
L
Lilah Melzer, DO
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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