A Clinical Study for Developing Artificial Intelligence(AI)-Based Clustering Model for Personalized Medicine in Acute Respiratory Failure
A Clinical Study for Developing AI-based Clustering Model for Personalized Medicine in Acute Respiratory Failure: Single Center, Prospective Cohort Study
Samsung Medical Center
250 participants
Aug 14, 2023
OBSERVATIONAL
Conditions
Summary
The investigators will prospectively collect clinical information to develop a clustering analysis model and confirm phenotype for patients with acute respiratory failure who admit to the intensive care unit and require oxygen supply beyond a high flow nasal cannula, and a control group without acute respiratory failure. and clinical characteristics and prognosis will be compared.
Eligibility
Inclusion Criteria6
- \- Acute Respiratory Failure group
- Among patients admitted to the internal medicine intensive care unit at Samsung Seoul Hospital, if all of the following conditions are met:
- \) Age 18 or older 2) Patients who require treatment with high flow nasal cannula (HFNC), non-invasive ventilation (NIV (BIPAP or CPAP)), or mechanical ventilation (MV) due to acute respiratory failure.
- \- control group For comparative analysis, among patients admitted to the internal medicine intensive care unit at Samsung Seoul Hospital who meet all of the following conditions, they are registered as a control group with the consent of the subjects and undergo the same research procedure.
- Age 18 or older
- Patients who do not require high flow nasal cannula (HFNC), non-invasive ventilation (NIV (BIPAP or CPAP)), or mechanical ventilation (MV) treatment
Exclusion Criteria4
- If any of the following criteria applies, participants will not be permitted to participate in this clinical trial.
- Patients 48 hours after oxygen treatment (HFNC, NIV (BIPAP or CPAP), MV)
- Patients transferred from another hospital
- Patients with limitations in treatment
Interested in this trial?
Get notified about updates and connect with the research team.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06479421