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NCT Number: NCT06479421

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

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.

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Key information

Conditions

Acute Respiratory Failure

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

# 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:

  • 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 Criteria:

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

Treatment and study plan

Primary outcomes

  1. 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

    clinical outcomes - Hospital Mortality

Secondary outcomes

  1. 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

    clinical outcomes - ICU Mortality

  2. Hospital length of stay

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

    clinical outcomes - Hospital length of stay

  3. ICU length of stay

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

    clinical outcomes - ICU length of stay

Study contacts

Contact information is provided by the study sponsor or research team.

Ryoung Eun Ko, MD, PhD

CONTACT

[email protected]

+82-2-3410-6399

Sponsors and collaborators

Lead sponsor

Samsung Medical Center

Other

Collaborators

  • Ministry of Science and ICT, Republic of Korea

Registry information

Official study title

A Clinical Study for Developing AI-based Clustering Model for Personalized Medicine in Acute Respiratory Failure: Single Center, Prospective Cohort Study

Important dates

Study start
2023
Primary completion
2028
Study completion
2029
First posted
Jun 28, 2024
Registry last updated
Apr 28, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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