Actively Recruiting
Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis
Led by Royal Brompton & Harefield NHS Foundation Trust · Updated on 2026-03-31
15
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients aged 18 and over with a Neurologist confirmed diagnosis of ALS
You will not qualify if you...
- Patients with known respiratory disease
- Unstable cardiac disease, stable hypertension or ischaemic heart disease
- Current NIV use
- Inability to give consent (expected ~15% due to frontotemporal dementia)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Royal Brompton Hospital
London, United Kingdom, sw3 6np
Actively Recruiting
Research Team
P
Professor Michael Polkey
CONTACT
L
Lucy Redmond
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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