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Electrographic Seizure Detection by Neuroscience Intensive Care Unit Nurses via Bedside Real-Time Quantitative EEG
Safa Kaleem1, Jennifer H Kang1, Alok Sahgal1
1Duke University School of Medicine (SK), Department of Neurology (JHK, AS, CEH, SRS), Duke University, Durham; and Department of Pulmonary Critical Care (CBS), Carolinas Medical Center, Atrium Health, Charlotte.
Neuroscience intensive care unit (neuro-ICU) nurses accurately detected seizures using real-time quantitative EEG (qEEG) bedside interpretation. This method significantly reduced seizure detection time compared to the standard of care.
Area of Science:
- Neuroscience
- Critical Care Medicine
- Neurology
Background:
- Continuous EEG (cEEG) monitoring is crucial for seizure detection in neuro-ICU patients.
- Timely seizure detection and interpretation are vital for effective patient management.
- Current standard of care for EEG interpretation can involve delays.
Purpose of the Study:
- To evaluate the performance of neuro-ICU nurses in real-time bedside interpretation of quantitative EEG (qEEG) for seizure detection.
- To compare nurse-led seizure detection time with the standard of care.
- To identify factors influencing nurse accuracy in qEEG interpretation.
Main Methods:
- Nurses received training on a 1-hour qEEG panel (spectrogram and amplitude-integrated EEG).
- Hourly nurse interpretations were compared against a gold standard of neurophysiologist review of cEEG.
- Diagnostic performance metrics (sensitivity, specificity) and time to detection were analyzed.
Main Results:
- Nurse sensitivity for seizure detection was 74%, with a specificity of 92%.
- Seizure detection by nurses was significantly faster than the standard of care by 132 minutes.
- Inaccurate interpretations were linked to longer monitoring hours and brief rhythmic discharges.
Conclusions:
- Real-time nurse interpretation of qEEG in the neuro-ICU demonstrates clinically adequate performance for seizure detection.
- This approach offers a significant improvement in the speed of seizure detection compared to the standard of care.
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