Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients
Introduction Delirium is a potentially preventable disorder characterised by acute disturbances in attention and cognition with fluctuating severity. Postoperative delirium is associated with prolonged intensive care unit and hospital stay, cognitive decline and mortality. The development of biomark...
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BMJ Publishing Group
2020-12-01
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Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/10/12/e044295.full |
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doaj-88de6c47d0c64e058046caf367f3c6be |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thomas Nguyen S Kendall Smith Alyssa K Labonte MohammadMehdi Kafashan Orlandrea Hyche Christian S Guay Courtney W Chan Anhthi Luong L Brian Hickman Bradley A Fritz Daniel Emmert Thomas J Graetz Spencer J Melby Brendan P Lucey Michael S Avidan Ben J A Palanca |
spellingShingle |
Thomas Nguyen S Kendall Smith Alyssa K Labonte MohammadMehdi Kafashan Orlandrea Hyche Christian S Guay Courtney W Chan Anhthi Luong L Brian Hickman Bradley A Fritz Daniel Emmert Thomas J Graetz Spencer J Melby Brendan P Lucey Michael S Avidan Ben J A Palanca Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients BMJ Open |
author_facet |
Thomas Nguyen S Kendall Smith Alyssa K Labonte MohammadMehdi Kafashan Orlandrea Hyche Christian S Guay Courtney W Chan Anhthi Luong L Brian Hickman Bradley A Fritz Daniel Emmert Thomas J Graetz Spencer J Melby Brendan P Lucey Michael S Avidan Ben J A Palanca |
author_sort |
Thomas Nguyen |
title |
Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients |
title_short |
Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients |
title_full |
Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients |
title_fullStr |
Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients |
title_full_unstemmed |
Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients |
title_sort |
protocol for the prognosticating delirium recovery outcomes using wakefulness and sleep electroencephalography (p-drows-e) study: a prospective observational study of delirium in elderly cardiac surgical patients |
publisher |
BMJ Publishing Group |
series |
BMJ Open |
issn |
2044-6055 |
publishDate |
2020-12-01 |
description |
Introduction Delirium is a potentially preventable disorder characterised by acute disturbances in attention and cognition with fluctuating severity. Postoperative delirium is associated with prolonged intensive care unit and hospital stay, cognitive decline and mortality. The development of biomarkers for tracking delirium could potentially aid in the early detection, mitigation and assessment of response to interventions. Because sleep disruption has been posited as a contributor to the development of this syndrome, expression of abnormal electroencephalography (EEG) patterns during sleep and wakefulness may be informative. Here we hypothesise that abnormal EEG patterns of sleep and wakefulness may serve as predictive and diagnostic markers for postoperative delirium. Such abnormal EEG patterns would mechanistically link disrupted thalamocortical connectivity to this important clinical syndrome.Methods and analysis P-DROWS-E (Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography) is a 220-patient prospective observational study. Patient eligibility criteria include those who are English-speaking, age 60 years or older and undergoing elective cardiac surgery requiring cardiopulmonary bypass. EEG acquisition will occur 1–2 nights preoperatively, intraoperatively, and up to 7 days postoperatively. Concurrent with EEG recordings, two times per day postoperative Confusion Assessment Method (CAM) evaluations will quantify the presence and severity of delirium. EEG slow wave activity, sleep spindle density and peak frequency of the posterior dominant rhythm will be quantified. Linear mixed-effects models will be used to evaluate the relationships between delirium severity/duration and EEG measures as a function of time.Ethics and dissemination P-DROWS-E is approved by the ethics board at Washington University in St. Louis. Recruitment began in October 2018. Dissemination plans include presentations at scientific conferences, scientific publications and mass media.Trial registration number NCT03291626. |
url |
https://bmjopen.bmj.com/content/10/12/e044295.full |
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doaj-88de6c47d0c64e058046caf367f3c6be2021-09-04T13:00:04ZengBMJ Publishing GroupBMJ Open2044-60552020-12-01101210.1136/bmjopen-2020-044295Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patientsThomas Nguyen0S Kendall Smith1Alyssa K Labonte2MohammadMehdi Kafashan3Orlandrea Hyche4Christian S Guay5Courtney W Chan6Anhthi Luong7L Brian Hickman8Bradley A Fritz9Daniel Emmert10Thomas J Graetz11Spencer J Melby12Brendan P Lucey13Michael S Avidan14Ben J A Palanca15Cardiology, Brugmann University Hospital, Brussels, BelgiumDepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Surgery, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USADepartment of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USAIntroduction Delirium is a potentially preventable disorder characterised by acute disturbances in attention and cognition with fluctuating severity. Postoperative delirium is associated with prolonged intensive care unit and hospital stay, cognitive decline and mortality. The development of biomarkers for tracking delirium could potentially aid in the early detection, mitigation and assessment of response to interventions. Because sleep disruption has been posited as a contributor to the development of this syndrome, expression of abnormal electroencephalography (EEG) patterns during sleep and wakefulness may be informative. Here we hypothesise that abnormal EEG patterns of sleep and wakefulness may serve as predictive and diagnostic markers for postoperative delirium. Such abnormal EEG patterns would mechanistically link disrupted thalamocortical connectivity to this important clinical syndrome.Methods and analysis P-DROWS-E (Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography) is a 220-patient prospective observational study. Patient eligibility criteria include those who are English-speaking, age 60 years or older and undergoing elective cardiac surgery requiring cardiopulmonary bypass. EEG acquisition will occur 1–2 nights preoperatively, intraoperatively, and up to 7 days postoperatively. Concurrent with EEG recordings, two times per day postoperative Confusion Assessment Method (CAM) evaluations will quantify the presence and severity of delirium. EEG slow wave activity, sleep spindle density and peak frequency of the posterior dominant rhythm will be quantified. Linear mixed-effects models will be used to evaluate the relationships between delirium severity/duration and EEG measures as a function of time.Ethics and dissemination P-DROWS-E is approved by the ethics board at Washington University in St. Louis. Recruitment began in October 2018. Dissemination plans include presentations at scientific conferences, scientific publications and mass media.Trial registration number NCT03291626.https://bmjopen.bmj.com/content/10/12/e044295.full |