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Critical Care Optimized Pediatric Quantitative EEG
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.
This research will take place in three phases : 1. Parameterization of the interface, which will display an 8-channel aEEG trace associated with reading aids (CDSA and automated seizure detection) available to the clinician. 2. Teams' training regarding the placement of additional electrodes and the use of reading aid tools. 3. Patient's inclusion. The obtained traces will be accessible at any time for direct interpretation and can be read on demand by a neurophysiologist during office hours. Post-hoc review of the entire EEG trace by an expert in pediatric EEG, blinded to the interpretation made at the bedside (gold standard). Research hypothesis is that continuous neuromonitoring combining optimized quantitative EEG techniques and targeted advice from a neurophysiologist would allow the detection of a majority of seizure events requiring treatment and background trace abnormalities associated with critical encephalopathy.
Age
0 - 2 years
Sex
ALL
Healthy Volunteers
No
CHU de Nantes
Nantes, France
Start Date
September 16, 2025
Primary Completion Date
September 16, 2027
Completion Date
September 16, 2027
Last Updated
March 10, 2026
120
ESTIMATED participants
Neuromonitoring with 10 electrodes
OTHER
Lead Sponsor
Nantes University Hospital
NCT07410858
NCT06993103
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