Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis
Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Observational
SUMMARY
The specific aim of this study is to try to discover the diagnostic accuracy of SleepImage technology for detecting respiratory failure in patients with MND. Importantly, this research project is not about NIV, it is about what method can most efficiently decide when to start NIV. To do this we'd like to collect data about you and your breathing from the SleepImage device when you come in for your routine overnight sleep study. We will compare this against the data that we would collect anyway.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:
• Patients aged 18 and over with a Neurologist confirmed diagnosis of ALS
Locations
Other Locations
United Kingdom
Royal Brompton Hospital
RECRUITING
London
Contact Information
Primary
Professor Michael Polkey
mike.polkey@nhs.net
020 7352 8121
Backup
Lucy Redmond
lucy.redmond4@nhs.net
Time Frame
Start Date: 2026-03-24
Estimated Completion Date: 2027-03-24
Participants
Target number of participants: 15
Treatments
Diagnosis of ALS without NIV
Related Therapeutic Areas
Sponsors
Leads: Royal Brompton & Harefield NHS Foundation Trust