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AI could help ventilator patients breathe easier by timing suction better

NCT ID NCT07375667

Recruiting now Knowledge-focused Sponsor: Affiliated Hospital of Nantong University Source: ClinicalTrials.gov ↗

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.

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Conditions

The condition(s) this trial relates to.

acute respiratory distress syndrome chronic obstructive pulmonary disease neonatal respiratory failure pneumonia Pneumonia, Ventilator-Associated

As listed by the trial registrant

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

MECHANICAL VENTILATION PRESSURE HIGH RESPIRATORY DEPRESSION NEONATAL VENTILATOR-ASSOCIATED PNEUMONIA (VAP)

Contacts and locations

Locations

  • Peking Union Medical College Hospital

    RECRUITING

    Beijing, Beijing Municipality, 100000, China

  • The First Affiliated Hospital of Bengbu Medical University

    RECRUITING

    Bengbu, Anhui, 233000, China

  • the Second Affiliated Hospital of Zhejiang University School of Medicine

    RECRUITING

    Hangzhou, Zhejiang, 310009, China

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