A Clinical Study for Developing Artificial Intelligence(AI)-Based Clustering Model for Personalized Medicine in Acute Respiratory Failure

Samsung Medical Center250 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

250

Conditions

Acute Respiratory Failure

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

\# Inclusion Criteria: \- 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: 1\) 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. 1. Age 18 or older 2. Patients who do not require high flow nasal cannula (HFNC), non-invasive ventilation (NIV (BIPAP or CPAP)), or mechanical ventilation (MV) treatment * Exclusion Criteria: If any of the following criteria applies, participants will not be permitted to participate in this clinical trial. 1. Patients 48 hours after oxygen treatment (HFNC, NIV (BIPAP or CPAP), MV) 2. Patients transferred from another hospital 3. Patients with limitations in treatment

Locations (1)

Samsung Medical Center

Seoul, Gangnam, South Korea

RECRUITING

Outcomes

Primary Outcomes

Hospital Mortality

clinical outcomes - Hospital Mortality

Time frame: From date of admission until the date of hospital discharge or date of death from any cause, whichever came first, assessed up to 1 year

Secondary Outcomes

ICU Mortality

clinical outcomes - ICU Mortality

Time frame: From date of ICU admission until the date of ICU discharge or date of death from any cause, whichever came first, assessed up to 6 months

Hospital length of stay

clinical outcomes - Hospital length of stay

Time frame: From date of hospital admission until the date of hospital discharge, assessed up to 1 years

ICU length of stay

clinical outcomes - ICU length of stay

Time frame: From date of ICU admission until the date of ICU discharge, assessed up to 6 months

Central Contacts

Ryoung Eun Ko, MD, PhD

CONTACT

+82-2-3410-6399 koryoungeun@gmail.com

Data from ClinicalTrials.gov

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