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Feasibility of Cough Monitoring in Children

Assessing the Feasibility of Home Nighttime Cough Monitoring in Children with Cystic

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06587126
Enrollment
40
Registered
2024-09-19
Start date
2024-02-27
Completion date
2024-12-31
Last updated
2024-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cystic Fibrosis in Children

Brief summary

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.

Interventions

DEVICECurie Artificial Intelligence (AI) cough monitor

All patients are given nighttime cough monitors for home use for 3-4 months

Sponsors

University of Colorado, Denver
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
1 Years to 18 Years
Healthy volunteers
Yes

Inclusion criteria

for Children with Cystic Fibrosis * Diagnosis of CF based on 2 known CFTR mutations and/or sweat chloride \> 60 mmol/L * Ages 1-18 years of age * Clinically stable at the time of consent

Exclusion criteria

* 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 (i.e., the participant is splitting time between time households) Inclusion Criteria for Healthy Controls * Ages 1-18

Design outcomes

Primary

MeasureTime frameDescription
Feasibility of using an in-home cough monitoring deviceThrough study completion, an average of 3 monthsPercent of nights over the study period during which 4 or more hours of analyzable data are collected over study period

Secondary

MeasureTime frameDescription
Comparison of nighttime cough between participants with CF and healthy controlsThrough study completion, an average of 3 monthsAverage cough seconds per hour per night over the study period
Comparison of nighttime cough in children with CF during clinician diagnosed pulmonary exacerbations7 daysAssess for changes in cough frequency before and after diagnosis of pulmonary exacerbation

Countries

United States

Contacts

Primary ContactLilah Melzer, DO
lilah.melzer@childrenscolorado.org7207772934

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026