The use of a smartphone app to detect changes in health from voice recordings of people with cystic fibrosis

Not Applicable

• Conditions: Nutritional, Metabolic, Endocrine; Cystic fibrosis

• Registration Number: ISRCTN49949826
• Lead Sponsor: Royal Papworth NHS Foundation Trust

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2023-08-15
• Last Update Posted: 29 January 2024
• Study Completion: 2024-12-31

Recruitment & Eligibility

• Status: Ongoing
• Sex: All
• Target Recruitment: 41

Inclusion Criteria

1. Diagnosis of cystic fibrosis based on genetic testing and/or sweat chloride levels
2. Age between >/= 18 to 3. Able to provide written informed consent
4. Patients who are currently undertaking home monitoring/virtual clinics
5. Patients who have the use of a smartphone

Exclusion Criteria

1. Patients unable to provide written informed consent
2. Patients who are currently not undertaking home monitoring/virtual clinics
3. Lung transplant recipients

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
The accuracy of the Sonde predictive algorithm to predict when antibiotics will be required to treat an acute pulmonary exacerbation. This will be from the sensitivity and specificity of the predictive algorithm when compared to the Project Breathe predictive algorithm over a 12-month period.

Secondary Outcome Measures

Name	Time	Method
The accuracy of the Sonde predictive algorithm to substitute for spirometry and pulse oximetry. This will be from the sensitivity and specificity of the Sonde predictive algorithm when compared to spirometry and pulse oximetry over a 12-month period.