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Non-Convulsive Seizures In Critical Care: The Emer ...
Non-Convulsive Seizures In Critical Care: The Emer ...
Non-Convulsive Seizures In Critical Care: The Emergency You Can't Afford to Miss
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Video Transcription
Video Summary
This webcast on non-convulsive seizures (NCS) in critical care, moderated by Dr. Gretchen Brophy and featuring experts Dr. Brandon Foreman and Dr. Chitra Venkatsubramanian, highlights the challenge of detecting NCS in ICU patients, especially since many are sedated or comatose and clinical signs are often absent. NCS and non-convulsive status epilepticus (NCSE) are prevalent in critically ill patients with conditions like cardiac arrest, sepsis, and brain injury, and timely treatment is vital to reduce morbidity and mortality.<br /><br />Traditional continuous EEG (cEEG) monitoring faces delays due to limited technologist availability. Point-of-care rapid EEG systems, such as Cerebral, provide a practical solution with easy application, AI-powered real-time seizure detection (Clarity AI), and bedside alerts. These can be applied quickly by bedside staff, delivering faster diagnostics and improving decision-making.<br /><br />The Cerebral system uses a headband with electrodes, a portable recorder, and a cloud-based portal for EEG viewing. It displays a seizure burden metric indicating seizure severity and response to medications, enabling rapid, informed treatment. Studies suggest rapid EEG reduces time-to-diagnosis, ICU length of stay, and improves outcomes.<br /><br />Implementation protocols recommend using rapid EEG for patients with unexplained altered mental status or neurological decline, with treatment thresholds based on seizure burden percentages. While rapid EEG complements conventional EEG, it does not fully replace it but serves as an effective bridge, especially in resource-limited settings. Overall, integrating rapid EEG with AI helps address the "clinical blind spot" of NCS in critical care.
Keywords
non-convulsive seizures
critical care
ICU
continuous EEG
rapid EEG
Cerebral system
AI seizure detection
seizure burden
neurological monitoring
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