scholarly journals Postoperative delirium following total joint arthroplasties in a multi-ethnic population – A prospective observational study

The Knee ◽  
2021 ◽  
Vol 32 ◽  
pp. 103-111
Author(s):  
Daniel Chew ◽  
Ervin Sethi ◽  
Yilin Eileen Sim ◽  
Pei Yi Brenda Tan ◽  
Hairil Rizal Abdullah ◽  
...  
2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Martin Soehle ◽  
Alexander Dittmann ◽  
Richard K Ellerkmann ◽  
Georg Baumgarten ◽  
Christian Putensen ◽  
...  

2020 ◽  
Vol 34 (5) ◽  
pp. 675-687
Author(s):  
Yan Zhang ◽  
Shu-Ting He ◽  
Bin Nie ◽  
Xue-Ying Li ◽  
Dong-Xin Wang

Abstract Background The clinical significance of emergence delirium remains unclear. The purpose of this study was to investigate the association between emergence delirium and postoperative delirium in elderly after general anesthesia and surgery. Methods This prospective observational study was done in a tertiary hospital in Beijing, China. Elderly patients (65–90 years) who underwent major noncardiac surgery under general anesthesia and admitted to the postanesthesia care unit (PACU) after surgery were enrolled. Emergence delirium was assessed with the Confusion Assessment Method for the Intensive Care Unit during PACU stay. Postoperative delirium was assessed with the Confusion Assessment Method during the first 5 postoperative days. The association between emergence delirium and postoperative delirium was analyzed with a multivariable logistic regression model. Results A total of 942 patients were enrolled and 915 completed the study. Emergence delirium developed in 37.0% (339/915) of patients during PACU stay; and postoperative delirium developed in 11.4% (104/915) of patients within the first 5 postoperative days. After adjusted confounding factors, the occurrence of emergence delirium is independently associated with an increased risk of postoperative delirium (OR 1.717, 95% CI 1.078–2.735, P = 0.023). Patients with emergence delirium stayed longer in PACU and hospital after surgery, and developed more non-delirium complications within 30 days. Conclusions Emergence delirium in elderly admitted to the PACU after general anesthesia and major surgery is independently associated with an increased risk of postoperative delirium. Patients with emergence delirium had worse perioperative outcomes. Chinese Clinical Trial Registry (chictr.org.cn) ChiCTR-OOC-17012734


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e044295
Author(s):  
S Kendall Smith ◽  
Thomas Nguyen ◽  
Alyssa K Labonte ◽  
MohammadMehdi Kafashan ◽  
Orlandrea Hyche ◽  
...  

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 analysisP-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 disseminationP-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 numberNCT03291626.


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