Can a simple sensor predict who needs a breathing tube?

NCT ID NCT07228676

Completed Knowledge-focused Sponsor: Poitiers University Hospital Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

acute respiratory failure Dyspnea respiratory failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

DYSPNEA OXYGEN RESPIRATORY INSUFFICIENCY WORK OF BREATHING

Contacts and locations

Locations

Poitiers University Hospital

Poitiers, France

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