NCT07370610

Electrical Impedance Tomography-Based Dynamic Ventilation-Perfusion Functional Phenotype Trajectory in Acute Respiratory Distress Syndrome

Active, enrolled Last updated 13 April 2026

What this trial tests

trial testing EIT Monitoring in ARDS in 120 participants. Participants enrolled and being followed up; not accepting new ones.

Timeline

1 January 2025

Primary endpoint
31 December 2026

1 January 2027

Quick facts

Lead sponsor	Ruijin Hospital
Status	Active, enrolled
Study type	OBSERVATIONAL
Enrollment	120
Start date	1 January 2025
Primary completion	31 December 2026
Estimated completion	1 January 2027
Sites	1 location across China

Drugs / interventions tested

• EIT Monitoring

Conditions studied

• ARDS — all drugs for ARDS →
• Mechanically Ventilated Patients — all drugs for Mechanically Ventilated Patients →

Sponsor

Ruijin Hospital

Who can join

Adults 18 to 90, any sex, with ARDS or Mechanically Ventilated Patients. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Acute Respiratory Distress Syndrome (ARDS) is characterized by severe hypoxemia and extensive lung injury. Recent studies indicate that lung functional phenotypes - particularly the distribution and evolution of lung perfusion - may be closely related to patient outcomes. Electrical impedance tomography (EIT) offers non-invasive, bedside, real-time monitoring of lung perfusion patterns and enables classification into distinct phenotypes and trajectory types over the course of illness. To date, limited data exist on perfusion phenotype trajectories in ARDS patients and their relationship with clinical outcomes. This study seeks to characterize dynamic lung dynamic ventilation-perfusion functional Phenotype using EIT and explore their prognostic significance. Objectives

Primary Objective:

To identify lung perfusion phenotype trajectories in ARDS patients using EIT and assess their association with 28-day mortality.

Secondary Objectives:

* To determine the relationship between different trajectory types and improvements in oxygenation and respiratory mechanics.
* To investigate how ventilator settings (PEEP, driving pressure) interact with perfusion changes.
* To support individualized mechanical ventilation strategies based on Ventilation-Perfusion Functional Phenotype monitoring

Publications & conference data

No peer-reviewed publications indexed yet for this trial.