Electrical Impedance Tomography-Based Prognostic Model for ARDS
Recruiting now
Conditions studied: Acute Respiratory Distress Syndrome (ARDS), Ventilator-induced Lung Injury
In brief
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.
Key facts
- Study ID
- NCT06967207
- Run by
- XiaoJing Zou,MD
- People needed
- 625
- Starts
- 2025-04-15
- Expected to finish
- 2027-12-31
- Last updated by the study team
- 2025-05-13
Who can join
Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Meet the new 2023 ARDS global definition;
- Age 18-80 years
You may not qualify if…
- Expected death within 24 hours of screening;
- Metastatic cancer (active malignancy with distant metastases);
- Severe psychiatric disorders;
- Pregnancy or postpartum status;
- Pneumothorax or moderate to large pleural effusion without adequate drainage;
- Chronic respiratory failure;
- Patients with pulmonary embolism or pulmonary hypertension;
- Heart failure patients: EF <50% or NYHA class III or IV;
- Patient/family refusal to participate;
- Participation in another interventional trial within 3 months prior to enrollment
Where it is running
- Department of Critical Care Medicine, Guangdong Provincial People's Hospital — Guangzhou, Guangdong, China (enrolling)
- Department of Critical Care Medicine, Renmin Hospital of Wuhan University — Wuhan, Hubei, China (enrolling)
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China Department of — Wuhan, Hubei, China (enrolling)
- Department of Emergency, Zhongshan Hospital, Fudan University — Shanghai, Shanghai Municipality, China (enrolling)
Full record on ClinicalTrials.gov
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