ArticleBMJ open2020
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.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03291626 (Postoperative Delirium), which is not on this map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Postoperative Delirium: EEG Markers of Sleep and Wakefulness
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Investigating the impact of electroconvulsive therapy on brain networks and sleep: an observational study protocol.BMJ open · 2025Article
- New-Onset Postoperative Atrial Fibrillation and Preoperative Sleep in Cardiac Surgical Patients.Annals of thoracic surgery short reports · 2025Article
- A personalized semi-automatic sleep spindle detection (PSASD) framework.Journal of neuroscience methods · 2024Article
- Daytime dexmedetomidine sedation with closed-loop acoustic stimulation alters slow wave sleep homeostasis in healthy adults.BJA open · 2024Article
- Article
- Targeting Slow Wave Sleep Deficiency in Late-Life Depression: A Case Series With Propofol.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023Article
- The posterior dominant rhythm: an electroencephalographic biomarker for cognitive recovery after general anaesthesia.British journal of anaesthesia · 2023Article
- Quantitative electroencephalography predicts postoperative delirium in cardiac surgical patients after cardiopulmonary bypass: a prospective observational study.Frontiers in medicine · 2023Article
- Correlating electroconvulsive therapy response to electroencephalographic markers: Study protocol.Frontiers in psychiatry · 2022Article
- Perioperative sleep in geriatric cardiac surgical patients: a feasibility study using a wireless wearable device.British journal of anaesthesia · 2021Observational
Corrections and comments
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Authors and funding
19 authors at 1 institution in 1 country.
Funding
Abstract
introductionDelirium 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.
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