2016
DOI: 10.1136/bmjopen-2016-011505
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Protocol for the Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) study: a pragmatic, randomised clinical trial

Abstract: IntroductionPostoperative delirium, arbitrarily defined as occurring within 5 days of surgery, affects up to 50% of patients older than 60 after a major operation. This geriatric syndrome is associated with longer intensive care unit and hospital stay, readmission, persistent cognitive deterioration and mortality. No effective preventive methods have been identified, but preliminary evidence suggests that EEG monitoring during general anaesthesia, by facilitating reduced anaesthetic exposure and EEG suppressio… Show more

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Cited by 52 publications
(62 citation statements)
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References 141 publications
(144 reference statements)
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“…51,52 In a recent innovation, bispectral EEG monitoring and adjustment of anesthetic depth has been shown to be associated with a marked reduction in postoperative delirium 53,54 and is currently under investigation in a large clinical trial. 55 …”
Section: Resultsmentioning
confidence: 99%
“…51,52 In a recent innovation, bispectral EEG monitoring and adjustment of anesthetic depth has been shown to be associated with a marked reduction in postoperative delirium 53,54 and is currently under investigation in a large clinical trial. 55 …”
Section: Resultsmentioning
confidence: 99%
“…Rather, burst-suppression may be more evident, at clinically relevant anesthetic doses, in patients that possess an underlying vulnerability to POD. Results from trials, such as the ENGAGES study (Wildes et al , 2016), are expected to make clear the effect of principled low dose anesthetic protocols on POD and other clinically relevant outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…The usage of GLMMs is motivated by the need of addressing several challenges simultaneously: 1) incorporating the influence of raters into assessing method agreement; 2) categorical outcomes; 3) longitudinal data; 4) missing or unbalanced data. We will illustrate our approach using a clinical research study [30] in which surgical patients are evaluated for post-operative delirium using two assessment tools, i.e., the CAM and the 3D-CAM. In this illustration, all the aforementioned challenges are encountered.…”
Section: Introductionmentioning
confidence: 99%