Association of electroencephalogram trajectories during emergence from anaesthesia with delirium in the postanaesthesia care unit: an early sign of postoperative complications

Postoperative delirium is associated with an increased risk of morbidity and mortality, especially in the elderly. Delirium in the postanaesthesia care unit (PACU) could predict adverse clinical outcomes. We investigated a potential link between intraoperative EEG patterns and PACU delirium as well...

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Published inBritish journal of anaesthesia : BJA Vol. 122; no. 5; pp. 622 - 634
Main Authors Hesse, S., Kreuzer, M., Hight, D., Gaskell, A., Devari, P., Singh, D., Taylor, N.B., Whalin, M.K., Lee, S., Sleigh, J.W., García, P.S.
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.05.2019
Elsevier
Subjects
Online AccessGet full text
ISSN0007-0912
1471-6771
1471-6771
DOI10.1016/j.bja.2018.09.016

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Abstract Postoperative delirium is associated with an increased risk of morbidity and mortality, especially in the elderly. Delirium in the postanaesthesia care unit (PACU) could predict adverse clinical outcomes. We investigated a potential link between intraoperative EEG patterns and PACU delirium as well as an association of PACU delirium with perioperative outcomes, readmission and length of hospital stay. The risk factors for PACU delirium were also explored. Data were collected from 626 patients receiving general anaesthesia for procedures that would not interfere with frontal EEG recording. Of the 626 subjects enrolled, 125 tested positive for PACU delirium. Whilst age, renal failure, and pre-existing neurological disease were associated with PACU delirium in the univariable analysis, the multivariable analysis revealed the importance of information derived from the EEG, anaesthetic technique, anaesthesia duration, and history of stroke or neurodegenerative disease. The occurrence of EEG burst suppression during maintenance [odds ratio (OR)=1.86 (1.13–3.05)] and the type of EEG emergence trajectory may be predictive of PACU delirium. Specifically, EEG emergence trajectories lacking significant spindle power were strongly associated with PACU delirium, especially in cases that involved ketamine or nitrous oxide [OR=6.51 (3.00–14.12)]. Additionally, subjects with PACU delirium were at an increased risk for readmission [OR=2.17 (1.13–4.17)] and twice as likely to stay >6 days in the hospital. Specific EEG patterns were associated with PACU delirium. These findings provide valuable information regarding how the brain reacts to surgery and anaesthesia that may lead to strategies to predict PACU delirium and identify key areas of investigation for its prevention.
AbstractList Postoperative delirium is associated with an increased risk of morbidity and mortality, especially in the elderly. Delirium in the postanaesthesia care unit (PACU) could predict adverse clinical outcomes. We investigated a potential link between intraoperative EEG patterns and PACU delirium as well as an association of PACU delirium with perioperative outcomes, readmission and length of hospital stay. The risk factors for PACU delirium were also explored. Data were collected from 626 patients receiving general anaesthesia for procedures that would not interfere with frontal EEG recording. Of the 626 subjects enrolled, 125 tested positive for PACU delirium. Whilst age, renal failure, and pre-existing neurological disease were associated with PACU delirium in the univariable analysis, the multivariable analysis revealed the importance of information derived from the EEG, anaesthetic technique, anaesthesia duration, and history of stroke or neurodegenerative disease. The occurrence of EEG burst suppression during maintenance [odds ratio (OR)=1.86 (1.13-3.05)] and the type of EEG emergence trajectory may be predictive of PACU delirium. Specifically, EEG emergence trajectories lacking significant spindle power were strongly associated with PACU delirium, especially in cases that involved ketamine or nitrous oxide [OR=6.51 (3.00-14.12)]. Additionally, subjects with PACU delirium were at an increased risk for readmission [OR=2.17 (1.13-4.17)] and twice as likely to stay >6 days in the hospital. Specific EEG patterns were associated with PACU delirium. These findings provide valuable information regarding how the brain reacts to surgery and anaesthesia that may lead to strategies to predict PACU delirium and identify key areas of investigation for its prevention.
Postoperative delirium is associated with an increased risk of morbidity and mortality, especially in the elderly. Delirium in the postanaesthesia care unit (PACU) could predict adverse clinical outcomes.BACKGROUNDPostoperative delirium is associated with an increased risk of morbidity and mortality, especially in the elderly. Delirium in the postanaesthesia care unit (PACU) could predict adverse clinical outcomes.We investigated a potential link between intraoperative EEG patterns and PACU delirium as well as an association of PACU delirium with perioperative outcomes, readmission and length of hospital stay. The risk factors for PACU delirium were also explored. Data were collected from 626 patients receiving general anaesthesia for procedures that would not interfere with frontal EEG recording.METHODSWe investigated a potential link between intraoperative EEG patterns and PACU delirium as well as an association of PACU delirium with perioperative outcomes, readmission and length of hospital stay. The risk factors for PACU delirium were also explored. Data were collected from 626 patients receiving general anaesthesia for procedures that would not interfere with frontal EEG recording.Of the 626 subjects enrolled, 125 tested positive for PACU delirium. Whilst age, renal failure, and pre-existing neurological disease were associated with PACU delirium in the univariable analysis, the multivariable analysis revealed the importance of information derived from the EEG, anaesthetic technique, anaesthesia duration, and history of stroke or neurodegenerative disease. The occurrence of EEG burst suppression during maintenance [odds ratio (OR)=1.86 (1.13-3.05)] and the type of EEG emergence trajectory may be predictive of PACU delirium. Specifically, EEG emergence trajectories lacking significant spindle power were strongly associated with PACU delirium, especially in cases that involved ketamine or nitrous oxide [OR=6.51 (3.00-14.12)]. Additionally, subjects with PACU delirium were at an increased risk for readmission [OR=2.17 (1.13-4.17)] and twice as likely to stay >6 days in the hospital.RESULTSOf the 626 subjects enrolled, 125 tested positive for PACU delirium. Whilst age, renal failure, and pre-existing neurological disease were associated with PACU delirium in the univariable analysis, the multivariable analysis revealed the importance of information derived from the EEG, anaesthetic technique, anaesthesia duration, and history of stroke or neurodegenerative disease. The occurrence of EEG burst suppression during maintenance [odds ratio (OR)=1.86 (1.13-3.05)] and the type of EEG emergence trajectory may be predictive of PACU delirium. Specifically, EEG emergence trajectories lacking significant spindle power were strongly associated with PACU delirium, especially in cases that involved ketamine or nitrous oxide [OR=6.51 (3.00-14.12)]. Additionally, subjects with PACU delirium were at an increased risk for readmission [OR=2.17 (1.13-4.17)] and twice as likely to stay >6 days in the hospital.Specific EEG patterns were associated with PACU delirium. These findings provide valuable information regarding how the brain reacts to surgery and anaesthesia that may lead to strategies to predict PACU delirium and identify key areas of investigation for its prevention.CONCLUSIONSSpecific EEG patterns were associated with PACU delirium. These findings provide valuable information regarding how the brain reacts to surgery and anaesthesia that may lead to strategies to predict PACU delirium and identify key areas of investigation for its prevention.
Author Gaskell, A.
Hesse, S.
García, P.S.
Whalin, M.K.
Sleigh, J.W.
Devari, P.
Hight, D.
Singh, D.
Lee, S.
Kreuzer, M.
Taylor, N.B.
AuthorAffiliation 2 Research Division, Atlanta VA Medical Center, Atlanta, GA, USA
6 Department of Anesthesiology, Emory University Hospital Midtown, Atlanta, GA, USA
3 Department of Anaesthesiology and Intensive Care, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
1 Department of Anesthesiology, Emory University School of Medicine, Atlanta, GA, USA
7 Department of Anesthesiology, Columbia University Medical Center, NewYork-Presbyterian Hospital - Irving, New York, NY, USA
4 Department of Anaesthesiology, Waikato Clinical School, University of Auckland, Hamilton, New Zealand
5 Department of Anesthesiology, Grady Memorial Hospital, Atlanta, GA, USA
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/30915984$$D View this record in MEDLINE/PubMed
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ISSN 0007-0912
1471-6771
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Issue 5
Keywords intraoperative monitoring
general anaesthesia, complications
recovery room
EEG
neurocognitive disorders
delirium
postoperative outcome
Language English
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Snippet Postoperative delirium is associated with an increased risk of morbidity and mortality, especially in the elderly. Delirium in the postanaesthesia care unit...
SourceID pubmedcentral
proquest
pubmed
crossref
elsevier
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 622
SubjectTerms Adult
Aged
Anesthesia Recovery Period
Anesthesia, General - methods
delirium
Early Diagnosis
EEG
Electroencephalography - methods
Emergence Delirium - diagnosis
Female
general anaesthesia, complications
Humans
intraoperative monitoring
Length of Stay - statistics & numerical data
Male
Middle Aged
Monitoring, Intraoperative - methods
neurocognitive disorders
Neuroscience and Neuroanaesthesia
Patient Readmission - statistics & numerical data
postoperative outcome
Prognosis
recovery room
Risk Factors
Signal Processing, Computer-Assisted
Title Association of electroencephalogram trajectories during emergence from anaesthesia with delirium in the postanaesthesia care unit: an early sign of postoperative complications
URI https://dx.doi.org/10.1016/j.bja.2018.09.016
https://www.ncbi.nlm.nih.gov/pubmed/30915984
https://www.proquest.com/docview/2198561129
https://pubmed.ncbi.nlm.nih.gov/PMC6465086
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