Real-time, algorithm-driven ventilation feedback to improve lung protection in ARDS
Official title: Real-Time Algorithm-Driven Ventilation Feedback to Improve Lung-Protective Ventilation in Patients With ARDS (REALVENT-study)
Run by Peking Union Medical College Hospital · NCT07307066 · Data updated 2026-11-12
This study tests whether a cloud-based, real-time ventilation feedback system helps doctors deliver more lung-protective ventilation to adults with ARDS on invasive mechanical ventilation.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 75 Years |
| Sex | All |
| Enrollment | 208 (estimated) |
| Sponsor | Peking Union Medical College Hospital Academic / other |
| Locations | 1 site (Qujing, Yunnan) |
| Status | Recruiting |
| Started | December 30, 2025 |
| Main results expected | December 30, 2026 |
| Study ends | February 28, 2027 |
| Registry record updated | July 1, 2026 |
| Trial ID | NCT07307066 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 18-75 with recent invasive ventilation for ARDS or similar respiratory failure, meeting criteria for LPV targets and expected to need ventilation for at least 72 hours.
✕Probably not a fit
Patients whose care depends on factors outside LPV targets or who cannot achieve LPV due to severity or comorbidities may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This multicenter randomized trial compares real-time waveform-based feedback with standard ICU care to see if LPV guidelines are met more consistently during the first 72 hours of mechanical ventilation. The intervention continuously analyzes ventilator data to compute key LPV metrics and provides alerts, ongoing checks, and daily summaries to bedside clinicians. While treatment decisions remain with the ICU team, the system aims to reduce ventilator-induced lung injury by catching deviations from lung-protective targets. Eligible patients are adults aged 18-75 with recent invasive ventilation and bilateral infiltrates, requiring ventilation for at least 72 hours, across participating centers in China.
Why it matters
Potential benefit: If successful, patients may experience more consistent lung-protective ventilation, potentially reducing lung injury and improving outcomes.
How similar studies have gone: prior studies in dynamic ventilation monitoring have shown potential improvements, but this approach remains exploratory in its real-time, automated feedback implementation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 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% * Chest imaging (chest X-ray or CT) showing bilateral pulmonary infiltrates not fully explained by pleural effusions, lobar collapse, or pulmonary nodules * Respiratory failure not fully explained by cardiac failure or fluid overload * Expected to require invasive mechanical ventilation for ≥ 72 hours after enrollment Exclusion Criteria: * 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 * Prisoners or individuals unable to provide informed consent or surrogate consent * Simultaneous enrollment in another interventional ICU study * Lack of digital infrastructure for real-time ventilator waveform acquisition
Where it's running
-
Qujing Central Hospital of Yunnan Province
Qujing, Yunnan, China Recruiting
Study contacts
- Study coordinator: Longxiang Su, Doctor
- Email: slx77@163.com
- Phone: +86 15652797257
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.