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Methods of identifying delirium: A research protocol.

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This pilot study explored the Ceribell device for detecting delirium in intensive care unit (ICU) patients. Early, objective detection of delirium may improve patient outcomes and reduce healthcare costs.

Keywords:
EEGacute confusiondeliriumgeriatrics

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Area of Science:

  • Critical Care Medicine
  • Neuroscience
  • Biomedical Engineering

Background:

  • Delirium affects up to 80% of ICU patients, leading to significant cognitive impairment, mortality, and costs.
  • Current delirium detection relies on subjective, intermittent clinical assessments with low sensitivity, often missing up to 80% of cases.
  • Biochemical changes in delirium cause EEG alterations, but continuous EEG monitoring is impractical.

Purpose of the Study:

  • To explore the relationship between the Ceribell, a limited-lead EEG device, and delirium status in ICU patients.
  • To assess the potential of Ceribell as an objective, continuous monitor for early delirium detection.
  • To lay the groundwork for future research on Ceribell's utility in managing delirium.

Main Methods:

  • A pilot study design was employed to investigate Ceribell's performance.
  • The study focused on analyzing electroencephalographic (EEG) data from the Ceribell device.
  • Relationships between Ceribell data and diagnosed delirium status were explored.

Main Results:

  • Limited-lead EEG studies show significant differences between patients with and without delirium.
  • The Ceribell device analyzes EEG patterns, offering a potential objective measure.
  • This pilot study provides foundational data on Ceribell's correlation with delirium.

Conclusions:

  • The Ceribell device shows promise as an objective physiological monitor for delirium.
  • Further research is warranted to validate Ceribell's capability in detecting delirium before clinical symptom onset.
  • Objective, continuous monitoring could revolutionize delirium management in ICUs.