ClinicalTrials.Veeva

Menu

Electrical Impedance Tomography-Based Prognostic Model for ARDS

X

XiaoJing Zou,MD

Status

Enrolling

Conditions

Acute Respiratory Distress Syndrome (ARDS)
Ventilator-induced Lung Injury

Treatments

Other: Not applicable- observational study

Study type

Observational

Funder types

Other

Identifiers

NCT06967207
EIT20250331

Details and patient eligibility

About

This multicenter, prospective, observational study aims to develop and validate an EIT-based prognostic model for ARDS. By focusing on the pathophysiological characteristics of ARDS and the causes of ventilator-induced lung injury, the investigators intend to establish a prognostic model that reveals lung injury and heterogeneity, enabling risk stratification and guiding individualized treatment.

Enrollment

625 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Meet the new 2023 ARDS global definition;
  2. Age 18-80 years

Exclusion criteria

  1. Expected death within 24 hours of screening;
  2. Metastatic cancer (active malignancy with distant metastases);
  3. Severe psychiatric disorders;
  4. Pregnancy or postpartum status;
  5. Pneumothorax or moderate to large pleural effusion without adequate drainage;
  6. Chronic respiratory failure;
  7. Patients with pulmonary embolism or pulmonary hypertension;
  8. Heart failure patients: EF <50% or NYHA class III or IV;
  9. Patient/family refusal to participate;
  10. Participation in another interventional trial within 3 months prior to enrollment

Trial design

625 participants in 2 patient groups

ARDS Patients for Training cohort
Description:
Training cohort
Treatment:
Other: Not applicable- observational study
ARDS Patients for Validation cohort
Description:
Validation cohort
Treatment:
Other: Not applicable- observational study

Trial contacts and locations

4

Loading...

Central trial contact

Xiaojing Zou Zou

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2025 Veeva Systems