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CompletedNo phase

Early Delirium Prediction Via Serial EEG Trajectories and Machine Learning

Key facts

Who runs it
Ajou University School of Medicine
Where
South Korea1 site in 1 countryChoose a country to see its sites
Trial code
Status
Completed
People taking part
73 people enrolled
Started
1 Apr 2024
Ended
30 Apr 2025
Type of study
Observational, 2 groups
Record updated
17 April 2026

Who can take part

Age
18 years to 65 years
Sex
Women and men
Healthy volunteers
Cannot take part

The registry criteria, word for word

Show all 2 criteriaShow less

Other criteria

  • Inclusion Criteria:; Trauma patients admitted to the Trauma Intensive Care Unit (TICU) who meet the following criteria:; Patients aged 18 to 65 years; Severe trauma patients with an Injury Severity Score (ISS)
  • Exclusion Criteria:; Patients with a head Abbreviated Injury Scale (AIS) ≥ 2 Patients with a Richmond Agitation-Sedation Scale (RASS) score ≤ -2 History of neurological disorders (e.g., Parkinson's disease, dementia, cerebrovascular disease) History of major psychiatric disorders (e.g., schizophrenia, bipolar disorder, intellectual disability, autism spectrum disorder) History of illicit drug use disorder or positive results on a urine drug screen for substances other than Benzodiazepines or Tricyclic antidepressants; Clinical evidence of acute alcohol withdrawal (CIWA-Ar score > 10) History of liver failure or hepatic encephalopathy (Child-Pugh Class B or C) Renal impairment requiring renal replacement therapy (RRT) Inability to perform the Confusion Assessment Method for the ICU (CAM-ICU) due to the following Inability to communicate in Korean Failure to obey commands (unable to follow test instructions) Severe visual or hearing impairment Refusal to undergo CAM-ICU assessment Requirement for isolation due to infectious diseases (e.g., COVID-19, active tuberculosis)

This trial has no sites in United States.

It has sites in one country. Choose a country to see its sites.

About the trial

What the trial wants to find out

The goal of this observational study is to develop a machine learning model that can predict delirium in trauma patients before it clinically appears. The study focuses on analyzing brainwave (EEG) patterns collected over several days in the trauma ICU. By comparing different recording conditions-such as having eyes open versus closed-researchers aim to identify the most effective way to monitor brain health and detect early signs of delirium in critically ill patients.

The 2 groups in the trial

  • Delirum group

    Patients who developed delirium during their ICU stay (confirmed by CAM-ICU)

  • Non-Delirium Group

    Patients who did not develop delirium during their ICU stay.

Data and sources

Registry record
Listed on ClinicalTrials.gov.
Official title
Longitudinal Frontal EEG Trajectories Reveal Divergent Cortical Dynamics in Delirium After Severe Trauma
Record updated
17 April 2026