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Pilot prospective study of post-surgery sleep and EEG predictors of post-operative delirium.

Authors :
Evans JL
Nadler JW
Preud'homme XA
Fang E
Daughtry RL
Chapman JB
Attarian D
Wellman S
Krystal AD
Source :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2017 Aug; Vol. 128 (8), pp. 1421-1425. Date of Electronic Publication: 2017 May 17.
Publication Year :
2017

Abstract

Objective: Delirium is a common post-operative complication associated with significant costs, morbidity, and mortality. We sought sleep/EEG predictors of delirium present prior to delirium symptoms to facilitate developing and targeting therapies.<br />Methods: Continuous EEG data were obtained in 12 patients post-orthopedic surgery from the day of surgery until delirium assessment on post-operative day 2 (POD2).<br />Results: Diminished total sleep time (r=-0.68; p<0.05) and longer latency to sleep onset (r=0.67; p<0.05) on the first night in the hospital were associated with greater POD2 delirium severity. Patients experiencing delirium slept 2.4h less and took 2h longer to fall asleep. Greater waking EEG delta power (r=0.84; p<0.05) on POD1 and less non-REM sleep EEG delta power (r=-0.72; p<0.05) on night 2 also predicted POD2 delirium severity.<br />Conclusions: Loss of sleep on night1 post-surgery is an early predictor of subsequent delirium. EEG Delta Power alterations in waking and sleep appear to be later indicators of impending delirium. Further work is needed to evaluate reproducibility/generalizability and assess whether sleep loss contributes to causing delirium.<br />Significance: This first study to prospectively collect continuous EEG data for an extended period prior to delirium onset identified EEG-derived indices that predict subsequent delirium that could aid in developing and targeting therapies.<br /> (Copyright © 2017. Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1872-8952
Volume :
128
Issue :
8
Database :
MEDLINE
Journal :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Publication Type :
Academic Journal
Accession number :
28618293
Full Text :
https://doi.org/10.1016/j.clinph.2017.05.004