Multimodal Database and Large Language Model for ARDS
NCT06973733 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 6500
Last updated 2025-05-15
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?
Conditions
- Respiratory Distress Syndrome, Acute
- Severe Community-Acquired Pneumonia
Interventions
- BEHAVIORAL
-
Clinical data and biospecimen collection
Clinical Data Collection: Case report forms were utilized to systematically capture multimodal clinical data, including: demographic characteristics, clinical symptoms and physical signs, laboratory test results, chest imaging data, organ support parameters, pharmacological interventions , complications and clinical outcomes. Biospecimen Collection: ARDS patients underwent biospecimen collection at days 1, 4, and 7 post-diagnosis. High-risk ARDS cohorts provided specimens within 24 hours of ICU admission. Specimens included: peripheral blood, Sputum/BALF, stool and urine.
Sponsors & Collaborators
-
China-Japan Friendship Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-05-07
- Primary Completion
- 2027-12-31
- Completion
- 2028-03-31
More Related Trials
-
Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study
NCT07141420 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Factors Associated With the Use of Lung Protective Ventilation Strategy (LPV) in Acute Lung Injury/Acute Respiratory Distress Syndrome (ALI/ARDS) Patients in Intensive Care Unit (ICU)
NCT01102322 ·Status: COMPLETED
-
Early Diagnosis of ARDS in Mechanically Ventilated Patient Using LUS Score in Comparison With CT
NCT06971042 ·Status: RECRUITING
-
Study of Biomarkers in Patients of Sepsis Complicated With Acute Respiratory Distress Syndrome (ARDS)
NCT04552821 ·Status: UNKNOWN
-
Establishment of a Biomarkers-based Early Warning System of Acute Respiratory Distress Syndrome (ARDS)
NCT03236272 ·Status: UNKNOWN
-
Evaluating Artificial Intelligence-Based Clinical Decision Support for Sepsis and ARDS
NCT07025096 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Lung Ultrasound in COVID-19 Patients
NCT04487769 ·Status: COMPLETED
-
Clinical Features, Treatments, and Outcomes in Acute Respiratory Distress Syndrome (ARDS-CTO)
NCT07186140 ·Status: NOT_YET_RECRUITING
-
To Construct a Prognosis Prediction Model for ECMO Patients Based on Machine Learning Algorithms
NCT06654388 ·Status: COMPLETED
-
Biomarkers to Predict Acute Respiratory Distress Syndrome(ARDS) in Patients With Sepsis
NCT05914428 ·Status: UNKNOWN
-
Effect of Prone Positioning on Intra-ocular Pressure in ARDS Patients
NCT02711930 ·Status: COMPLETED
-
A Real World Study of Respiratory Critical Disease.
NCT07165717 ·Status: RECRUITING
-
Establish a Prospective Registration System of ARDS Patients for Improving Quality of Care
NCT04032288 ·Status: COMPLETED
-
ARDS Prediction Score in Critically Ill Patients in China
NCT02174081 ·Status: COMPLETED
-
The Role of Circulating CircRNAs and MicroRNAs in Acute Lung Injury
NCT03766204 ·Status: UNKNOWN
-
Early Biological and Mechanical Profiling in Sepsis-Associated ARDS
NCT07281911 ·Status: NOT_YET_RECRUITING
-
Discovery of New Early Detection Biomarkers From Peripheral Blood of Acute Respiratory Distress Syndrome(ARDS)
NCT02967471 ·Status: UNKNOWN
-
Impact of Inflammation Biomarkers on the Acute Respiratory Distress Syndrome (ARDS) Definition
NCT01161901 ·Status: COMPLETED
-
Epidemiology of Acute Respiratory Distress Syndrome in Chinese ICUs
NCT02490215 ·Status: COMPLETED
-
Early Severe Illness TrAnslational BioLogy InformaticS in Humans
NCT05591924 ·Status: RECRUITING
-
The Evaluation of NETs, Caspase-1 and Cytokines in ARDS Patients
NCT03227107 ·Status: UNKNOWN
-
EVLWI Exhibits Pulmonary and Systemic Permeability in Sepsis Related ALI/ARDS
NCT01694147 ·Status: UNKNOWN
-
An Observational Study to Identify New Health Problems Arising After an Intensive Care Unit Admission in People With Acute Respiratory Distress Syndrome in the United States
NCT06272942 ·Status: COMPLETED
-
Clinical Features and Risk Factors Associated With Worse Outcome in Patients Hospitalized for Covid-19 Pneumonia
NCT04362345 ·Status: UNKNOWN
-
Large Observational Study to UNderstand the Global Impact of Severe Acute Respiratory FailurE
NCT02010073 ·Status: COMPLETED