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Abstract Details

The role of the perioperative use of EEG as a predictor/diagnostic tool for post-operative delirium: Systematic Review
Epilepsy/Clinical Neurophysiology (EEG)
P10 - Poster Session 10 (8:00 AM-9:00 AM)
The electroencephalogram (EEG) in the perioperative setting has been increasingly used as a tool for delirium prognostication and diagnosis. Delirium in the post-operative setting occurs in 20-25% of the patients aged 65 and older. The has been used for a long time in the intraoperative setting, with some measures being associated with the development of POD. Recently studies have been focusing on the use of the EEG preoperatively as a prediction tool, and postoperatively as a diagnostic tool for POD.
To analyze common EEG findings associated with POD in the perioperative setting.
We performed a systematic review to address the role of EEG in the perioperative setting as a tool for delirium prognosis and diagnosis. Twelve randomized control trials and twenty-eight observational studies were identified.
Common preoperative findings associated with the development of POD include: higher alpha power, increased alpha band connectivity but impaired structural connectivity, increased slow wave activity involving frontal and occipitoparietal cortex with accompanying break down in functional connectivity, lower EEG- asymmetry, lower values of pre-operative spectral edge frequencies, and polysomnography findings of longer non-REM stage 2 sleep. Common intraoperative findings associated with POD include: increased magnitude and duration of EEG suppression, reduced higher frequencies, increased prevalence and duration of BSR, and low BIS values. Finally, post-operative findings associated with POD include: greater delta power while awake, alterations in delta in wake versus sleep state, and disruptions in connectivity.
The use of EEG as a diagnostic and prognostic tool has promising utility in the perioperative setting. In the pre-and intraoperative setting, certain EEG markers may be utilized to predict delirium or triage which patients are at a higher risk of developing POD. Postoperatively, EEG use can predict and help diagnose POD. More studies are needed to further systematize and validate this data.
Maria J. Bruzzone, MD (University of Florida)
Dr. Bruzzone has nothing to disclose.
Jessie Ann Walker, MD Dr. Walker has nothing to disclose.
Benjamin Chapin, MD (UF) Dr. Chapin has nothing to disclose.
Marcos Santana Firme, MD (University of Florida, Dept. of Neurology) Marcos Santana Firme has nothing to disclose.
Faith Kimmet (University of Florida) Miss Kimmet has nothing to disclose.
Sabaina Ahmed, Other (University of Florida) Ms. Ahmed has nothing to disclose.
Estefania Perera Miss Perera has nothing to disclose.
Shawna Amini Shawna Amini has nothing to disclose.
Catherine Price Catherine Price has nothing to disclose.