RECRUITINGOBSERVATIONAL
Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis
About This Trial
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.
Who May Be Eligible (Plain English)
Who May Qualify:
- Patients aged 18 and over with a Neurologist confirmed diagnosis of ALS
Who Should NOT Join This Trial:
- 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)
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
Inclusion Criteria:
* Patients aged 18 and over with a Neurologist confirmed diagnosis of ALS
Exclusion Criteria:
* 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)
Treatments Being Tested
DEVICE
SleepImage
SleepImage Device
Locations (1)
Royal Brompton Hospital
London, United Kingdom