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 — DEVICE
    SleepImage 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

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