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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