Can a simple sensor predict who needs a breathing tube?
NCT ID NCT07228676
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This pilot study tested a new algorithm that estimates how hard patients are working to breathe while on high-flow nasal oxygen. Researchers enrolled 20 ICU patients and used a noninvasive sensor to collect pressure and flow data. The goal was to see if the algorithm could reliably detect inspiratory effort, which might help doctors identify patients at risk of needing a breathing tube.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to a noninvasive tool to monitor breathing effort in ICU patients on high-flow oxygen, potentially helping doctors predict who might need a breathing tube.
What could go wrong
This is a very small pilot study (20 people) testing feasibility only. The algorithm has not been validated in real patients, and it may not work reliably or translate into better outcomes.
Disclaimer
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Poitiers University Hospital
Poitiers, France