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

NCT07307066 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 208

Last updated 2025-12-29

No results posted yet for this study

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.

Conditions

  • ARDS (Acute Respiratory Distress Syndrome)
  • VILI (Ventilator-induced Lung Injury)
  • Respiratory Failure
  • Critical Illness

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.

Sponsors & Collaborators

  • Beijing Hepingli Hospital

    collaborator UNKNOWN
  • Beijing No.6 Hospital

    collaborator UNKNOWN
  • Jinzhou Medical University

    collaborator OTHER
  • Henan Provincial People's Hospital

    collaborator OTHER
  • Binzhou Second People's Hospital

    collaborator UNKNOWN
  • Chongqing General Hospital

    collaborator OTHER
  • Qujing Central Hospital of Yunnan Province

    collaborator UNKNOWN
  • Shandong Provincial Hospital

    collaborator OTHER_GOV
  • Capital Medical University Affiliated Beijing Anzhen Hospital, Nanchong Center

    collaborator UNKNOWN
  • Peking Union Medical College Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-30
Primary Completion
2026-06-30
Completion
2026-07-30

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07307066 on ClinicalTrials.gov