The detection and appropriate treatment of seizures significantly impact the neurological prognosis of patients in intensive care. Indeed, altered brain function including seizures is described in critically ill children, regardless of the reason for admission. Most seizures are subclinical and therefore impossible to diagnose without neuromonitoring tools. Despite being concidered ad Gold Standard, continuous EEG (cEEG) with video recording shows difficulty of implementation and interpretation at all hours of the day and night explaining that less than 10% of centers in France use cEEG routinely. Most departments prefer simplified techniques, including amplitude traces (aEEG) which can be used continuously at the bedside. However, the positive predictive value of aEEG in the detection of seizures does not exceed 78% and 64% in newborns and children respectively making necessary an optimization of the information provided by these techniques. This project is a pragmatic diagnostic study that aims at developing and evaluating a neuromonitoring interface adapted to the needs of pediatric and neonatal intensive care units and meeting the requirements of neurophysiologists in terms of EEG trace quality.
Age range
24 Months
Sex
ALL
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Evaluate the diagnostic performance of neuromonitoring combining quantitative EEG and possible interpretation by a neurophysiologist in detecting neurological impairment.
Timeframe: 48 hours