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NOT YET RECRUITING
NCT07307066
NA

Real-Time Algorithm-Driven Ventilation Feedback to Improve Lung-Protective Ventilation in Critically Ill Patients

Sponsor: Peking Union Medical College Hospital

View on ClinicalTrials.gov

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

Interventions

DEVICE

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..

OTHER

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.