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Continuous Video Electroencephalography (EEG) for Event Characterization in Critically Ill Children
Melissa L DiBacco1,2, Kelly Cavan1,2, Arnold J Sansevere1,2,3
1Division of Epilepsy and Neurophysiology, 1862Boston Children's Hospital, Boston, MA, USA.
In critically ill children, autonomic events alone are unlikely to indicate electroclinical seizures. Analyzing paroxysmal event details helps determine which patients benefit most from continuous video electroencephalography (EEG) monitoring.
Area of Science:
- Critical care medicine
- Pediatric neurology
- Clinical neurophysiology
Background:
- Continuous video electroencephalography (EEG) is crucial for diagnosing seizures in critically ill children.
- Characterizing paroxysmal events is essential for accurate diagnosis and management.
Purpose of the Study:
- To identify features of paroxysmal events and EEG abnormalities associated with electroclinical seizures in critically ill children.
- To characterize clinical events using continuous video EEG.
Main Methods:
- A prospective study included 100 critically ill children (non-neonates) undergoing continuous video EEG.
- Paroxysmal events were documented and classified (motor, ocular, orobuccal, autonomic, other).
- Events with multiple components were classified as motor-plus or nonmotor-plus.
Main Results:
- Electroclinical seizures were captured in 30% of patients.
- Autonomic events were the most common (32%), but isolated autonomic events were not associated with electroclinical seizures (OR 0.3).
- Asymmetry (OR 2.7) and epileptiform discharges (OR 12.5) were significantly associated with electroclinical seizures.
Conclusions:
- Isolated autonomic events in critically ill children are unlikely to represent electroclinical seizures.
- Detailed characterization of paroxysmal events aids in selecting patients who will benefit from continuous video EEG, optimizing resource allocation.
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