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 in | British journal of anaesthesia : BJA Vol. 122; no. 5; pp. 622 - 634 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.05.2019
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 0007-0912 1471-6771 1471-6771 |
DOI | 10.1016/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. |
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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 |
AuthorAffiliation_xml | – name: 6 Department of Anesthesiology, Emory University Hospital Midtown, Atlanta, GA, USA – name: 2 Research Division, Atlanta VA Medical Center, Atlanta, GA, USA – name: 3 Department of Anaesthesiology and Intensive Care, Klinikum rechts der Isar, Technische Universität München, Munich, Germany – name: 7 Department of Anesthesiology, Columbia University Medical Center, NewYork-Presbyterian Hospital - Irving, New York, NY, USA – name: 4 Department of Anaesthesiology, Waikato Clinical School, University of Auckland, Hamilton, New Zealand – name: 5 Department of Anesthesiology, Grady Memorial Hospital, Atlanta, GA, USA – name: 1 Department of Anesthesiology, Emory University School of Medicine, 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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PublicationDate | 2019-05-01 |
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PublicationTitle | British journal of anaesthesia : BJA |
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Publisher | Elsevier Ltd Elsevier |
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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 |
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