Clin2
NCT07428694Likely a fitRecruiting

Detecting air leaks during breathing support

Chronic Respiratory Failure

Part of Lungs & breathing clinical trials.

This trial tests a machine learning tool to detect if air is leaking while using a breathing machine at night. It may help people who use a non-invasive ventilator at home get better care.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
20 people
Ages
18 years and older
Study type
Observational

Who can take part

  • You are scheduled for a planned hospital visit to check your breathing support
  • You use a ResMed Lumis 100 or 150 ventilator
  • You have been using your ventilator for more than 3 months
  • You do not currently have a sudden worsening of your breathing

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

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