Real-Time Algorithm-Driven Ventilation Feedback to Improve Lung-Protective Ventilation in Patients With ARDS (REALVENT-study)

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-75
SponsorPeking Union Medical College Hospital

About this trial

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.

Eligibility criteria

Qualifiers

Age between 18 and 75 years

Receiving invasive mechanical ventilation via endotracheal intubation at the time of screening

Initiation of invasive mechanical ventilation within the past 24 hours

PaO₂/FiO₂ ≤ 200 mmHg on PEEP ≥ 8 cmH₂O or, if arterial blood gas is unavailable: SpO₂/FiO₂ ≤ 235 with SpO₂ ≤ 97%

Disqualifiers

Receipt of extracorporeal membrane oxygenation (ECMO) or high-frequency oscillatory ventilation at screening

Brain death or anticipated withdrawal of life-sustaining treatment within 72 hours

Pregnancy

Known neuromuscular disease affecting spontaneous respiratory effort

Trial design

Treatments tested in this trial

  • REal-time Algorithm-driven Ventilation feedback to improve lung-protective ventilation in critically
  • Standard ICU care

Treatment groups

208 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Peking Union Medical College Hospital

Lead sponsor

Beijing Hepingli Hospital

Collaborator

Beijing No.6 Hospital

Collaborator

Jinzhou Medical University

Collaborator

Henan Provincial People's Hospital

Collaborator

Binzhou Second People's Hospital

Collaborator

Chongqing General Hospital

Collaborator

Qujing Central Hospital of Yunnan Province

Collaborator

Shandong Provincial Hospital

Collaborator

Capital Medical University Affiliated Beijing Anzhen Hospital, Nanchong Center

Collaborator