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Which EEG Patterns Warrant Treatment in the Critically Ill? Reviewing the Evidence for Treatment of Periodic Epileptiform Discharges and Related Patterns

Chong, Derek J., Hirsch, Lawrence J.·2005·Journal of Clinical Neurophysiology

Abstract

Continuous electroencephalographic monitoring in critically ill patients has improved detection of nonconvulsive seizures and periodic discharges, but when and how aggressively to treat these electrographic patterns is unclear. A review of the literature was conducted to understand the nature of periodic discharges and the strength of the data on which management recommendations have been based. Periodic discharges are seen from a wide variety of etiologies, and the discharges themselves are electrographically heterogeneous. This spectrum suggests a need to consider these phenomena along a continuum between interictal and ictal, but more important clinically is the need to consider the likelihood of neuronal injury from each type of discharge in a given clinical setting. Recommendations for treatment are given, and a modification to current criteria for the diagnosis of nonconvulsive seizures is suggested.

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Metadata

Authors
Chong, D. J., & Hirsch, L. J.
Venue
Journal of Clinical Neurophysiology
Published
2005-04
Volume
22
Issue
2
Pages
79-91
ISSN
0736-0258 (ISSN-L)
OpenAlex
W2025056242
Cited by
500
References
0
FWCI
7.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Which EEG Patterns Warrant Treatment in the Critically Ill? Reviewing the Evidence for Treatment of Periodic Epileptiform Discharges and Related Patterns. https://app.cochat.ai/papers/10.1097/01.wnp.0000158699.78529.af
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Chong, D. J., & Hirsch, L. J. (2005). Which EEG Patterns Warrant Treatment in the Critically Ill? Reviewing the Evidence for Treatment of Periodic Epileptiform Discharges and Related Patterns. Journal of Clinical Neurophysiology. https://doi.org/10.1097/01.wnp.0000158699.78529.af

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.