Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis

Recruiting now

Conditions studied: Amyotrophic Lateral Sclerosis

In brief

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 facts

Study ID

NCT07502677

Run by

Royal Brompton & Harefield NHS Foundation Trust

People needed

15

Starts

2026-03-24

Expected to finish

2027-03-24

Last updated by the study team

2026-03-31

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients aged 18 and over with a Neurologist confirmed diagnosis of ALS

You may not qualify if…

• 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)

Where it is running

• Royal Brompton Hospital — London, United Kingdom (enrolling)

Full record on ClinicalTrials.gov

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