AI could help ventilator patients breathe easier by timing suction better
NCT ID NCT07375667
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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.
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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 258 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Oct 2025
- Expected to finish
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Dec 2029
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 to 90 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Clinical diagnosis of Acute Respiratory Distress Syndrome (ARDS) * Clinical diagnosis of Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) * Clinical diagnosis of Severe pneumonia Exclusion Criteria: * Clinical diagnosis of multiple organ failure; * Clinical diagnosis of multiple organ bleeding;
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
3 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Peking Union Medical College Hospital
RECRUITINGBeijing, Beijing Municipality, 100000, China
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The First Affiliated Hospital of Bengbu Medical University
RECRUITINGBengbu, Anhui, 233000, China
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the Second Affiliated Hospital of Zhejiang University School of Medicine
RECRUITINGHangzhou, Zhejiang, 310009, China
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Other studies related to the condition(s) this trial covers.
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- Steroid dose showdown: can more dexamethasone save lives in respiratory failure?
- Breathing machine settings put to the test in severe lung injury
- The hidden breath: how a mismatch between patient and machine may shape ARDS recovery
- Can tailored antibiotic doses beat resistance in the sickest patients?
- Scientists hunt for hidden subgroups in sudden respiratory failure