Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis
- Sponsor
- Royal Brompton & Harefield NHS Foundation Trust
- Study ID
- NCT07502677
- Status
- Recruiting
Conditions
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- SleepImage — DEVICESleepImage Device
Study Details
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.
Key Dates
- Start date
- Mar 24, 2026
- Status verified
- Feb 2026
- Primary completion
- Sep 1, 2026
- Completion
- Mar 24, 2027
Study Design
- Enrollment
- 15 participants (estimated)
Arms
- Arm: Diagnosis of ALS without NIV
Primary Outcome Measure
SQI & e-LFCNB>2 [ Time Frame: 12 hours ]
Central Contacts
- Professor Michael Polkey020 7352 8121
- Lucy Redmond
Related Studies
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- The Pre-symptomatic Familial Amyotrophic Lateral Sclerosis (Pre-fALS) StudyRecruiting · University of Miami · Miami, Florida
- BrainGate2: Feasibility Study of an Intracortical Neural Interface System for Persons With TetraplegiaRecruiting · Leigh R. Hochberg, MD, PhD. · Sacramento, California
- The National Amyotrophic Lateral Sclerosis RegistryRecruiting · Centers for Disease Control and Prevention · Atlanta, Georgia