AI could help ventilator patients breathe easier by timing suction better
NCT ID NCT07375667
First seen Feb 01, 2026 · Last updated Jun 23, 2026 · Updated 21 times
Summary
This study tests whether monitoring changes in airway resistance can help doctors decide the best time to suction mucus from the lungs of patients on ventilators. Researchers will use machine learning to analyze data from 258 patients with conditions like ARDS or severe pneumonia. The goal is to improve suction timing, reduce lung inflammation, and potentially lower the risk of ventilator-associated pneumonia.
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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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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Peking Union Medical College Hospital
RECRUITINGBeijing, Beijing Municipality, 100000, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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The First Affiliated Hospital of Bengbu Medical University
RECRUITINGBengbu, Anhui, 233000, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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the Second Affiliated Hospital of Zhejiang University School of Medicine
RECRUITINGHangzhou, Zhejiang, 310009, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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 provide a more precise, data-driven way to decide when to suction ventilated patients, potentially reducing lung infections and improving outcomes.
What could go wrong
This is an early-stage observational study, not a treatment trial. The findings may not translate into routine practice, and machine learning models can be limited by data quality.
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.