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      Effect of Electroencephalography-Guided Anesthetic Administration on Postoperative Delirium Among Older Adults Undergoing Major Surgery : The ENGAGES Randomized Clinical Trial

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          Abstract

          Intraoperative electroencephalogram (EEG) waveform suppression, often suggesting excessive general anesthesia, has been associated with postoperative delirium.

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          General anesthesia, sleep, and coma.

          Robert S Schwartz, Emery Brown, Ralph Lydic … (2011)
          Article 0 comments Cited 336 times – based on 0 reviews     Review now
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            European Society of Anaesthesiology evidence-based and consensus-based guideline on postoperative delirium.

            César Aldecoa, Gabriella Bettelli, Federico Bilotta … (2017)
            The purpose of this guideline is to present evidence-based and consensus-based recommendations for the prevention and treatment of postoperative delirium. The cornerstones of the guideline are the preoperative identification and handling of patients at risk, adequate intraoperative care, postoperative detection of delirium and management of delirious patients. The scope of this guideline is not to cover ICU delirium. Considering that many medical disciplines are involved in the treatment of surgical patients, a team-based approach should be implemented into daily practice. This guideline is aimed to promote knowledge and education in the preoperative, intraoperative and postoperative setting not only among anaesthesiologists but also among all other healthcare professionals involved in the care of surgical patients.
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              Revised standards for statistical evidence.

              V E Johnson (2013)
              Recent advances in Bayesian hypothesis testing have led to the development of uniformly most powerful Bayesian tests, which represent an objective, default class of Bayesian hypothesis tests that have the same rejection regions as classical significance tests. Based on the correspondence between these two classes of tests, it is possible to equate the size of classical hypothesis tests with evidence thresholds in Bayesian tests, and to equate P values with Bayes factors. An examination of these connections suggest that recent concerns over the lack of reproducibility of scientific studies can be attributed largely to the conduct of significance tests at unjustifiably high levels of significance. To correct this problem, evidence thresholds required for the declaration of a significant finding should be increased to 25-50:1, and to 100-200:1 for the declaration of a highly significant finding. In terms of classical hypothesis tests, these evidence standards mandate the conduct of tests at the 0.005 or 0.001 level of significance.
              Article 0 comments Cited 216 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: JAMA
                Abbreviated Title: JAMA
                Publisher: American Medical Association (AMA)
                ISSN (Print): 0098-7484
                Publication date Created: February 05 2019
                Publication date (Print): February 05 2019
                Volume: 321
                Issue: 5
                Page: 473
                Affiliations
                [1 ]Department of Anesthesiology, Washington University School of Medicine, St Louis, Missouri
                [2 ]Department of Mathematics, Washington University School of Medicine, St Louis, Missouri
                [3 ]Department of Anesthesiology, University of Manitoba, Winnipeg, Canada
                [4 ]Department of Medicine, Beth Israel-Deaconess Medical Center, Hebrew Senior Life, Harvard Medical School, Boston, Massachusetts
                [5 ]Department of Occupational Therapy, Washington University School of Medicine, St Louis, Missouri
                [6 ]Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
                Article
                DOI: 10.1001/jama.2018.22005
                PMC ID: 6439616
                PubMed ID: 30721296
                SO-VID: 5d75d3ec-26f6-4a34-9fda-304b88a01912
                Copyright © © 2019
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