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3147 Electroencephalographic suppression from anesthesia and cognitive recovery

Published online by Cambridge University Press:  26 March 2019

Leonard Brian Hickman
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
ShiNung Ching
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
Mathias Basner
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
Wei Wang
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
Nan Lin
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
Max Kelz
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
George Mashour
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
Michael S. Avidan
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
Ben J. A. Palanca
Affiliation:
Washington University in St. Louis, Institute Of Clinical and Translational Sciences
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Abstract

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OBJECTIVES/SPECIFIC AIMS: (1) Assess if the total duration of EEG suppression during a protocolized exposure to general anesthesia predicts cognitive performance in multiple cognitive domains immediately following emergence from anesthesia. (2) Assess if the total duration of EEG suppression in the same individuals predicts the rate of cognitive recovery in a three-hour period following emergence from anesthesia. METHODS/STUDY POPULATION: This was a non-specified substudy of NCT01911195, a multicenter investigation taking place at the University of Michigan, University of Pennsylvania, and Washington University in St. Louis. 30 healthy volunteers aged 20-40 years were recruited to receive general anesthesia. Participants in the anesthesia arm were anesthetized for three hours at isoflurane levels compatible with surgery (1.3 MAC). Multichannel sensor nets were used for EEG acquisition during the anesthetic exposure. EEG suppression was detected through automated voltage-thresholded classification of 2-second signal epochs, with concordance assessed across sensors. Following return of responsiveness to verbal commands, participants completed up to three hours of serial cognitive tests assessing executive function, reaction time, cognitive throughput, and working memory. Non-linear mixed effects models will be used to estimate the initial cognitive deficit and the rate of cognitive recovery following anesthetic exposure; these measures of cognitive function will be assessed in relation to total duration of suppression during anesthesia. RESULTS/ANTICIPATED RESULTS: Participants displayed wide variability in the total amount of suppression during anesthesia, with a median of 31.2 minutes and range from 0 minutes to 115.2 minutes. Initial analyses suggest that greater duration of burst suppression had a weak relationship with participants’ initial cognitive deficits upon return of responsiveness from anesthesia. Model generation of rate of recovery following anesthetic exposure is pending, but we anticipate this will also have a weak relationship with burst suppression. DISCUSSION/SIGNIFICANCE OF IMPACT: In healthy adults receiving a standardized exposure to anesthesia without surgery, burst suppression appears to be a poor predictor of post-anesthesia cognitive task performance. This suggests that burst suppression may have limited utility as a predictive marker of post-operative cognitive functioning, particularly in young adults without significant illness.

Type
Mechanistic Basic to Clinical
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Association for Clinical and Translational Science 2019