Background: Better outcome prediction could assist in reliable quantification and classification of traumatic brain injury (TBI) severity to support clinical decision-making. We developed a multifactorial model combining quantitative electroencephalography (qEEG) measurements and clinically relevant parameters as proof of concept for outcome prediction of patients with moderate to severe TBI.
Methods: Continuous EEG measurements were performed during the first 7 days of ICU admission.
Objective: Early electroencephalography measures contribute to outcome prediction of comatose patients after cardiac arrest. We present predictive values of a new cerebral recovery index, based on a combination of quantitative electroencephalography measures, extracted every hour, and combined by the use of a random forest classifier.
Design: Prospective observational cohort study.
Introduction: Increasing evidence supports that early EEG recordings reliably contribute to outcome prediction in comatose patients with postanoxic encephalopathy. As postanoxic encephalopathy typically results in generalized EEG abnormalities, spatial resolution of a small number of electrodes is likely sufficient, which will reduce set-up time. Here, the authors compare a reduced and a 21-channel EEG for outcome prediction.
View Article and Find Full Text PDFBackground: Metamizole is an analgesic, the orally administered form of which was withdrawn in the Netherlands in 1989 due to an unacceptably high incidence of agranulocytosis. However, later studies showed a much lower incidence and since 2013 the use of metamizole has been recommended by the national guideline on postoperative pain.
Case Description: A 58-year-old woman was referred by her general practitioner to our hospital with suspected diverticulitis.
Objective: To evaluate the value of continuous electroencephalography in early prognostication in patients treated with hypothermia after cardiac arrest.
Design: Prospective cohort study.
Setting: Medical intensive care unit.