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Deschamps A, Saha T, El-Gabalawy R, Jacobsohn E, Overbeek C, Palermo J, Robichaud S, Dumont AA, Djaiani G, Carroll J, Kavosh MS, Tanzola R, Schmitt EM, Inouye SK, Oberhaus J, Mickle A, Ben Abdallah A, Avidan MS, Clinical Trials Group CPA. Protocol for the electroencephalography guidance of anesthesia to alleviate geriatric syndromes (ENGAGES-Canada) study: A pragmatic, randomized clinical trial. F1000Res 2023; 8:1165. [PMID: 31588356 PMCID: PMC6760454 DOI: 10.12688/f1000research.19213.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/09/2023] [Indexed: 01/15/2023] Open
Abstract
Background: There is some evidence that electroencephalography guidance of general anesthesia can decrease postoperative delirium after non-cardiac surgery. There is limited evidence in this regard for cardiac surgery. A suppressed electroencephalogram pattern, occurring with deep anesthesia, is associated with increased incidence of postoperative delirium (POD) and death. However, it is not yet clear whether this electroencephalographic pattern reflects an underlying vulnerability associated with increased incidence of delirium and mortality, or whether it is a modifiable risk factor for these adverse outcomes. Methods: The Electroe ncephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes ( ENGAGES-Canada) is an ongoing pragmatic 1200 patient trial at four Canadian sites. The study compares the effect of two anesthetic management approaches on the incidence of POD after cardiac surgery. One approach is based on current standard anesthetic practice and the other on electroencephalography guidance to reduce POD. In the guided arm, clinicians are encouraged to decrease anesthetic administration, primarily if there is electroencephalogram suppression and secondarily if the EEG index is lower than the manufacturers recommended value (bispectral index (BIS) or WAVcns below 40 or Patient State Index below 25). The aim in the guided group is to administer the minimum concentration of anesthetic considered safe for individual patients. The primary outcome of the study is the incidence of POD, detected using the confusion assessment method or the confusion assessment method for the intensive care unit; coupled with structured delirium chart review. Secondary outcomes include unexpected intraoperative movement, awareness, length of intensive care unit and hospital stay, delirium severity and duration, quality of life, falls, and predictors and outcomes of perioperative distress and dissociation. Discussion: The ENGAGES-Canada trial will help to clarify whether or not using the electroencephalogram to guide anesthetic administration during cardiac surgery decreases the incidence, severity, and duration of POD. Registration: ClinicalTrials.gov ( NCT02692300) 26/02/2016.
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Affiliation(s)
- Alain Deschamps
- Department of Anesthesiology and Pain Medicine, Montreal Heart Institute and Universite de Montreal, Montreal, Quebec, H1T 1C8, Canada,
| | - Tarit Saha
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Renée El-Gabalawy
- Department of Clinical Health Psychology, Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Eric Jacobsohn
- Departments of Anesthesia and Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Charles Overbeek
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Jennifer Palermo
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | | | - Andrea Alicia Dumont
- Montreal Health Innovation Coordinating Center, Montreal Heart Institute, Montreal, Quebec, Canada
| | - George Djaiani
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Jo Carroll
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Morvarid S. Kavosh
- Department of Anesthesiology, Perioperative and Pain Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Rob Tanzola
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Eva M. Schmitt
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Sharon K. Inouye
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Jordan Oberhaus
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Angela Mickle
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
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Deschamps A, Saha T, El-Gabalawy R, Jacobsohn E, Overbeek C, Palermo J, Robichaud S, Dumont AA, Djaiani G, Carroll J, Kavosh MS, Tanzola R, Schmitt EM, Inouye SK, Oberhaus J, Mickle A, Ben Abdallah A, Avidan MS, Clinical Trials Group CPA. Protocol for the electroencephalography guidance of anesthesia to alleviate geriatric syndromes (ENGAGES-Canada) study: A pragmatic, randomized clinical trial. F1000Res 2023; 8:1165. [PMID: 31588356 PMCID: PMC6760454 DOI: 10.12688/f1000research.19213.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/08/2019] [Indexed: 01/27/2023] Open
Abstract
Background: There is some evidence that electroencephalography guidance of general anesthesia can decrease postoperative delirium after non-cardiac surgery. There is limited evidence in this regard for cardiac surgery. A suppressed electroencephalogram pattern, occurring with deep anesthesia, is associated with increased incidence of postoperative delirium (POD) and death. However, it is not yet clear whether this electroencephalographic pattern reflects an underlying vulnerability associated with increased incidence of delirium and mortality, or whether it is a modifiable risk factor for these adverse outcomes. Methods: The Electroe ncephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes ( ENGAGES-Canada) is an ongoing pragmatic 1200 patient trial at four Canadian sites. The study compares the effect of two anesthetic management approaches on the incidence of POD after cardiac surgery. One approach is based on current standard anesthetic practice and the other on electroencephalography guidance to reduce POD. In the guided arm, clinicians are encouraged to decrease anesthetic administration, primarily if there is electroencephalogram suppression and secondarily if the EEG index is lower than the manufacturers recommended value (bispectral index (BIS) or WAVcns below 40 or Patient State Index below 25). The aim in the guided group is to administer the minimum concentration of anesthetic considered safe for individual patients. The primary outcome of the study is the incidence of POD, detected using the confusion assessment method or the confusion assessment method for the intensive care unit; coupled with structured delirium chart review. Secondary outcomes include unexpected intraoperative movement, awareness, length of intensive care unit and hospital stay, delirium severity and duration, quality of life, falls, and predictors and outcomes of perioperative distress and dissociation. Discussion: The ENGAGES-Canada trial will help to clarify whether or not using the electroencephalogram to guide anesthetic administration during cardiac surgery decreases the incidence, severity, and duration of POD. Registration: ClinicalTrials.gov ( NCT02692300) 26/02/2016.
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Affiliation(s)
- Alain Deschamps
- Department of Anesthesiology and Pain Medicine, Montreal Heart Institute and Universite de Montreal, Montreal, Quebec, H1T 1C8, Canada,
| | - Tarit Saha
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Renée El-Gabalawy
- Department of Clinical Health Psychology, Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Eric Jacobsohn
- Departments of Anesthesia and Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Charles Overbeek
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Jennifer Palermo
- Department of Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | | | - Andrea Alicia Dumont
- Montreal Health Innovation Coordinating Center, Montreal Heart Institute, Montreal, Quebec, Canada
| | - George Djaiani
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Jo Carroll
- Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada
| | - Morvarid S. Kavosh
- Department of Anesthesiology, Perioperative and Pain Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Rob Tanzola
- Department of Anesthesiology and Perioperative Medicine, Queen's University, Kingston, Kingston, Ontario, Canada
| | - Eva M. Schmitt
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Sharon K. Inouye
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachussetts, USA
| | - Jordan Oberhaus
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Angela Mickle
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, St-Louis, Missouri, USA
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Oberhaus J, Wang W, Mickle AM, Becker J, Tedeschi C, Maybrier HR, Upadhyayula RT, Muench MR, Lin N, Schmitt EM, Inouye SK, Avidan MS. Evaluation of the 3-Minute Diagnostic Confusion Assessment Method for Identification of Postoperative Delirium in Older Patients. JAMA Netw Open 2021; 4:e2137267. [PMID: 34902038 PMCID: PMC8669542 DOI: 10.1001/jamanetworkopen.2021.37267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE Delirium is a common postoperative complication in older patients that often goes undetected and might lead to worse outcomes. The 3-Minute Diagnostic Confusion Assessment Method (3D-CAM) might be a practical tool for routine clinical diagnosis of delirium. OBJECTIVE To assess the 3D-CAM for detecting postoperative delirium compared with the long-form CAM used for research purposes. DESIGN, SETTING, AND PARTICIPANTS This cohort study of older patients enrolled in ongoing clinical trials between 2015 and 2018 was conducted at a single tertiary US hospital. Included participants were aged 60 years or older undergoing major elective surgical procedures that required at least a 2-day hospital stay. Data were analyzed between February and April 2019. EXPOSURES Surgical procedures of at least 2 hours in length requiring general anesthesia with planned extubation. MAIN OUTCOMES AND MEASURES Patients were concurrently assessed for delirium using the 3D-CAM assessment and the long-form CAM, scored based on a standardized cognitive assessment. Agreement between these 2 methods was tested using Cohen κ with repeated measures, a generalized linear mixed-effects model, and Bland-Altman analysis. RESULTS Sixteen raters conducted 471 concurrent CAM and 3D-CAM interviews including 299 patients (mean [SD] age, 69 [6.5] years), the majority of whom were men (152 [50.8%]), were White (263 [88.0%]), and had noncardiac operations (211 [70.6%]). Both instruments had good intraclass correlation (0.84 for the CAM and 0.98 for the 3D-CAM). Cohen κ demonstrated good overall agreement between the CAM and 3D-CAM (κ = 0.71; 95% CI, 0.58 to 0.83). According to the mixed-effects model, there was statistically significant disagreement between the 3D-CAM and CAM (estimated difference in fixed effect, -0.68; 95% CI, -1.32 to -0.05; P = .04). Bland-Altman analysis showed the probability of a delirium diagnosis with the 3D-CAM was more than twice the probability of a delirium diagnosis with the CAM (probability ratio, 2.78; 95% CI, 2.44 to 3.23). CONCLUSIONS AND RELEVANCE The 3D-CAM instrument demonstrated agreement with the long-form CAM and might provide a pragmatic and sensitive clinical tool for detecting postoperative delirium, with the caveat that the 3D-CAM might overdiagnose delirium.
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Affiliation(s)
- Jordan Oberhaus
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Wei Wang
- Department of Mathematics and Statistics, Washington University in St Louis, St Louis, Missouri
| | - Angela M. Mickle
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Jennifer Becker
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Catherine Tedeschi
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Hannah R. Maybrier
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Ravi T. Upadhyayula
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Maxwell R. Muench
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
| | - Nan Lin
- Department of Mathematics and Statistics, Washington University in St Louis, St Louis, Missouri
- Division of Biostatistics, Washington University in St Louis, St Louis, Missouri
| | - Eva M. Schmitt
- Aging Brain Center, Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts
| | - Sharon K. Inouye
- Aging Brain Center, Institute for Aging Research, Hebrew Senior Life, Boston, Massachusetts
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri
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Eagleman SL, Drover CM, Li X, MacIver MB, Drover DR. Offline comparison of processed electroencephalogram monitors for anaesthetic-induced electroencephalogram changes in older adults. Br J Anaesth 2021; 126:975-984. [PMID: 33640118 DOI: 10.1016/j.bja.2020.12.042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 12/19/2020] [Accepted: 12/24/2020] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Several devices record and interpret patient brain activity via electroencephalogram (EEG) to aid physician assessment of anaesthetic effect. Few studies have compared EEG monitors on data from the same patient. Here, we describe a set-up to simultaneously compare the performance of three processed EEG monitors using pre-recorded EEG signals from older surgical patients. METHODS A playback system was designed to replay EEG signals into three different commercially available EEG monitors. We could then simultaneously calculate indices from the SedLine® Root (Masimo Inc., Irvine, CA, USA; patient state index [PSI]), bilateral BIS VISTA™ (Medtronic Inc., Minneapolis, MN, USA; bispectral index [BIS]), and Datex Ohmeda S/5 monitor with the Entropy™ Module (GE Healthcare, Chicago, IL, USA; E-entropy index [Entropy]). We tested the ability of each system to distinguish activity before anaesthesia administration (pre-med) and before/after loss of responsiveness (LOR), and to detect suppression incidences in EEG recorded from older surgical patients receiving beta-adrenergic blockers. We show examples of processed EEG monitor output tested on 29 EEG recordings from older surgical patients. RESULTS All monitors showed significantly different indices and high effect sizes between comparisons pre-med to after LOR and before/after LOR. Both PSI and BIS showed the highest percentage of deeply anaesthetised indices during periods with suppression ratios (SRs) > 25%. We observed significant negative correlations between percentage of suppression and indices for all monitors (at SR >5%). CONCLUSIONS All monitors distinguished EEG changes occurring before anaesthesia administration and during LOR. The PSI and BIS best detected suppressed periods. Our results suggest that the PSI and BIS monitors might be preferable for older patients with risk factors for intraoperative awareness or increased sensitivity to anaesthesia.
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Affiliation(s)
- Sarah L Eagleman
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
| | | | - Xi Li
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - M Bruce MacIver
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - David R Drover
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
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Oliver DP, Washington KT, Demiris G, White P. Challenges in Implementing Hospice Clinical Trials: Preserving Scientific Integrity While Facing Change. J Pain Symptom Manage 2020; 59:365-371. [PMID: 31610273 PMCID: PMC6989375 DOI: 10.1016/j.jpainsymman.2019.09.028] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 09/27/2019] [Accepted: 09/30/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND/AIMS Numerous changes can occur between the original design plans for clinical trials, the submission of funding proposals, and the implementation of the clinical trial. In the hospice setting, environmental changes can present significant obstacles, which require changes to the original plan designs, recruitment, and staffing. The purpose of the study was to share lessons and problem-solving strategies that can assist in future hospice trials. METHODS This study uses one hospice clinical trial as an exemplar to demonstrate challenges for clinical trial research in this setting. Using preliminary data collected during the first months of a trial, the research team details the many ways their current protocol reflects changes from the originally proposed plans. Experiences are used as an exemplar to address the following questions: 1) How do research environments change between the initial submission of a funding proposal and the eventual award? 2) How can investigators maintain the integrity of the research and accommodate unexpected changes in the research environment? RESULTS The changing environment within the hospice setting required design, sampling, and recruitment changes within the first year. The decision-making process resulted in a stronger design with greater generalization. As a result of necessary protocol changes, the study results are positioned to be translational following the study conclusion. CONCLUSION Researchers would do well to review their protocol and statistics early in a clinical trial. They should be prepared for adjustments to accommodate market and environmental changes outside their control. Ongoing data monitoring, specifically related to recruitment, is advised.
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Affiliation(s)
- Debra Parker Oliver
- Department of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA.
| | - Karla T Washington
- Department of Family and Community Medicine, University of Missouri, Columbia, Missouri, USA
| | - George Demiris
- Penn Innovates Knowledge Professor, Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Patrick White
- Palliative Medicine and Supportive Care, Division of Palliative Medicine, Department of Internal Medicine, Washington University School of Medicine, Washington University, St. Louis, Missouri, USA
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Lipman PD, Dluzak L, Stoney CM. Is this study feasible? Facilitating management of pragmatic trial planning milestones under a phased award funding mechanism. Trials 2019; 20:307. [PMID: 31146778 PMCID: PMC6543574 DOI: 10.1186/s13063-019-3387-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 04/30/2019] [Indexed: 11/26/2022] Open
Abstract
Background Improving efficiencies in clinical research is crucial to translation of findings into practice and delivery of effective, patient-centered health care. This paper describes a project that monitored pragmatic clinical trials by working with investigators to track achievement of early phase milestones. The National Institutes of Health (NIH) Pragmatic Trials Collaborative Project supported scientifically diverse, low-cost, randomized, controlled, pragmatic clinical intervention trials. Funds were available through a cooperative agreement award mechanism, with the initial phase supporting trial planning and the subsequent 4-year awards funding trial implementation. A coordinating center provided evaluation and administrative support, which included capturing progress toward achieving milestones. Methods Six funded trials participated in monthly calls throughout the first year to identify and demonstrate metrics and deliverables for each milestone in the Notice of Grant Award. Interviews were conducted with investigators, trial team members, and NIH program officers/project scientists to discuss their perceptions of the impact and value of the management strategy. Results Five of six trials transitioned to the implementation phase with milestones ranging from 6 to 15 and quantifiable metrics ranging from 15 to 33, for a total of 121 deliverables. One third of the metrics (42, 35%) were trial-specific. Trial teams reported that the oversight was onerous but complemented their management strategies; program officers/project scientists found that documentation submitted for review was sufficient to assess trial feasibility; and investigators reported advantages to the phased award mechanism, such as leverage to secure commitments from stakeholders and collaborators, help with task prioritization, and earlier consultation with key members of the trial team. Conclusions Implementing systematic approaches to identify milestones and track metrics can strengthen the evidence base regarding time and effort to plan and conduct pragmatic clinical trials. Investigators were unaccustomed to producing evidence of performance, and it was challenging to determine what documentation to provide. Efforts to standardize expectations regarding milestones that mark a significant change or stage in trial development or that represent minimum success criteria may provide guidance for more effective and efficient trial management. A framework with clearly specified metrics is especially critical for transparency, particularly when funding decisions are contingent on both merit and feasibility.
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Affiliation(s)
| | - Leanora Dluzak
- Westat, 1600 Research Boulevard, Rockville, MD, 20850, USA
| | - Catherine M Stoney
- National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), 6701 Rockledge Drive, Bethesda, MD, 20817, USA
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Electroencephalography-guided anaesthetic administration does not impact postoperative delirium among older adults undergoing major surgery: an independent discussion of the ENGAGES trial. Br J Anaesth 2019; 123:112-117. [PMID: 31079835 DOI: 10.1016/j.bja.2019.03.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/08/2019] [Indexed: 12/20/2022] Open
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Wildes TS, Mickle AM, Ben Abdallah A, Maybrier HR, Oberhaus J, Budelier TP, Kronzer A, McKinnon SL, Park D, Torres BA, Graetz TJ, Emmert DA, Palanca BJ, Goswami S, Jordan K, Lin N, Fritz BA, Stevens TW, Jacobsohn E, Schmitt EM, Inouye SK, Stark S, Lenze EJ, Avidan MS. Effect of Electroencephalography-Guided Anesthetic Administration on Postoperative Delirium Among Older Adults Undergoing Major Surgery: The ENGAGES Randomized Clinical Trial. JAMA 2019; 321:473-483. [PMID: 30721296 PMCID: PMC6439616 DOI: 10.1001/jama.2018.22005] [Citation(s) in RCA: 267] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
IMPORTANCE Intraoperative electroencephalogram (EEG) waveform suppression, often suggesting excessive general anesthesia, has been associated with postoperative delirium. OBJECTIVE To assess whether EEG-guided anesthetic administration decreases the incidence of postoperative delirium. DESIGN, SETTING, AND PARTICIPANTS Randomized clinical trial of 1232 adults aged 60 years and older undergoing major surgery and receiving general anesthesia at Barnes-Jewish Hospital in St Louis. Recruitment was from January 2015 to May 2018, with follow-up until July 2018. INTERVENTIONS Patients were randomized 1:1 (stratified by cardiac vs noncardiac surgery and positive vs negative recent fall history) to receive EEG-guided anesthetic administration (n = 614) or usual anesthetic care (n = 618). MAIN OUTCOMES AND MEASURES The primary outcome was incident delirium during postoperative days 1 through 5. Intraoperative measures included anesthetic concentration, EEG suppression, and hypotension. Adverse events included undesirable intraoperative movement, intraoperative awareness with recall, postoperative nausea and vomiting, medical complications, and death. RESULTS Of the 1232 randomized patients (median age, 69 years [range, 60 to 95]; 563 women [45.7%]), 1213 (98.5%) were assessed for the primary outcome. Delirium during postoperative days 1 to 5 occurred in 157 of 604 patients (26.0%) in the guided group and 140 of 609 patients (23.0%) in the usual care group (difference, 3.0% [95% CI, -2.0% to 8.0%]; P = .22). Median end-tidal volatile anesthetic concentration was significantly lower in the guided group than the usual care group (0.69 vs 0.80 minimum alveolar concentration; difference, -0.11 [95% CI, -0.13 to -0.10), and median cumulative time with EEG suppression was significantly less (7 vs 13 minutes; difference, -6.0 [95% CI, -9.9 to -2.1]). There was no significant difference between groups in the median cumulative time with mean arterial pressure below 60 mm Hg (7 vs 7 minutes; difference, 0.0 [95% CI, -1.7 to 1.7]). Undesirable movement occurred in 137 patients (22.3%) in the guided and 95 (15.4%) in the usual care group. No patients reported intraoperative awareness. Postoperative nausea and vomiting was reported in 48 patients (7.8%) in the guided and 55 patients (8.9%) in the usual care group. Serious adverse events were reported in 124 patients (20.2%) in the guided and 130 (21.0%) in the usual care group. Within 30 days of surgery, 4 patients (0.65%) in the guided group and 19 (3.07%) in the usual care group died. CONCLUSIONS AND RELEVANCE Among older adults undergoing major surgery, EEG-guided anesthetic administration, compared with usual care, did not decrease the incidence of postoperative delirium. This finding does not support the use of EEG-guided anesthetic administration for this indication. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02241655.
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Affiliation(s)
- Troy S. Wildes
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Angela M. Mickle
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Arbi Ben Abdallah
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Hannah R. Maybrier
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Jordan Oberhaus
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Thaddeus P. Budelier
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Alex Kronzer
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Sherry L. McKinnon
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Daniel Park
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Brian A. Torres
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Thomas J. Graetz
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Daniel A. Emmert
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Ben J. Palanca
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Shreya Goswami
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Katherine Jordan
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Nan Lin
- Department of Mathematics, Washington University School of Medicine, St Louis, Missouri
| | - Bradley A. Fritz
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Tracey W. Stevens
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
| | - Eric Jacobsohn
- Department of Anesthesiology, University of Manitoba, Winnipeg, Canada
| | - Eva M. Schmitt
- Department of Medicine, Beth Israel-Deaconess Medical Center, Hebrew Senior Life, Harvard Medical School, Boston, Massachusetts
| | - Sharon K. Inouye
- Department of Medicine, Beth Israel-Deaconess Medical Center, Hebrew Senior Life, Harvard Medical School, Boston, Massachusetts
| | - Susan Stark
- Department of Occupational Therapy, Washington University School of Medicine, St Louis, Missouri
| | - Eric J. Lenze
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
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