Multimodal Database and Large Language Model for ARDS (NCT06973733) | Clinical Trial Compass
Not Yet RecruitingNot Applicable
Multimodal Database and Large Language Model for ARDS
6,500 participantsStarted 2025-05-07
Plain-language summary
The goal of this observational study is to integrate existing clinical cohorts from the research team to establish dedicated cohorts for ARDS and high-risk ARDS patients (primarily SCAP patients), then systematically collect comprehensive clinical data and multi-omics biological samples to construct a high-quality multimodal ARDS database. Building upon this foundation, the research will develop an ARDS-specific large-scale disease model to assist clinical decision-making in early warning, diagnosis, and prognosis prediction. The main question it seeks to address is: Can the establishment of specialized ARDS cohorts and multimodal databases, combined with the development of an ARDS-specific large-scale disease model, effectively improve ARDS prediction rates, diagnostic accuracy, and reduce mortality rates, thereby enhancing overall clinical management standards?
Who can participate
Age range18 Years
SexALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
✕. Patients without ARDS or ARDS high-risk factors.
What they're measuring
1
ICU mortality
Timeframe: From the time of patient enrollment until ICU discharge(For example: If a patient is enrolled in the study and remains in the ICU for 20 days before discharge, then the time frame would be 20 days.)
2
Hospital mortality
Timeframe: From the time of patient enrollment until hospital discharge(For example: If a patient is enrolled in the study and remains in the hospital for 20 days before discharge, then the observation time frame would be 20 days.)