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Real-Time Algorithm-Driven Ventilation Feedback to Improve Lung-Protective Ventilation in Critically Ill Patients
Sponsor: Peking Union Medical College Hospital
Summary
The REALVENT trial is designed to evaluate whether a real-time, algorithm-driven ventilation feedback strategy can improve lung-protective ventilation (LPV) achievement rates in critically ill patients receiving invasive mechanical ventilation. This multicentre randomised controlled trial will compare real-time respiratory waveform monitoring with automated feedback against standard ICU care. The primary endpoint is the LPV achievement rate over the first 72 hours.
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
INTERVENTIONAL
Enrollment
208
Start Date
2025-12-30
Completion Date
2026-07-30
Last Updated
2025-12-29
Healthy Volunteers
No
Conditions
Interventions
REal-time Algorithm-driven Ventilation feedback to improve lung-protective ventilation in critically
Patients in the intervention arm will receive real-time ventilator waveform monitoring through the respiratory dynamics monitoring and feedback RemoteVentilate ViewTM system. The system continuously collects high-frequency waveform data (flow, pressure, volume) directly from the ventilator interface and analyses the following metrics: Tidal volume (VT) indexed to predicted body weight, Driving pressure (ΔP), Plateau pressure (Pplat), and Mechanical power (MP). Patient-ventilator asynchrony (PVA) events will be also collected in the system, including double triggering, ineffective efforts, reverse triggering, and flow starvation, ect..
Standard ICU care
The control group will receive standard ICU care, including routine monitoring of ventilator parameters such as tidal volume, plateau pressure, and oxygenation status. No structured feedback or external ventilation reports will be provided. This reflects the prevailing standard of care in Chinese ICUs and is thus an appropriate comparator for assessing the added value of a real-time respiratory feedback platform.