This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
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.
Assessing the Feasibility of Home Nighttime Cough Monitoring in Children with Cystic
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of Colorado, Denver
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