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Cited by 668

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

An assessment of nonconvulsive seizures in the intensive care unit using continuous EEG monitoring: An investigation of variables associated with mortality

Young, Bryan G., Jordan, Kenneth G., Doig, Gordon S.·1996·Neurology

Abstract

Of 49 patients with nonconvulsive seizures studied with continuous EEG monitoring, the overall mortality was 33% (16/49). Of the 23 patients with nonconvulsive status epilepticus (NCSE), 13 died (mortality 57%). Individual variables significantly associated with mortality were age, presence of NCSE, seizure duration, hospital and NICU length of stay, and delay to diagnosis and etiology (acute illness versus remote symptomatic). With multivariate logistic regression, only seizure duration (p = 0.0057, OR = 1.131/hour) and delay to diagnosis (p = 0.0351, OR = 1.039/hour) were associated with increased mortality. Acute symptomatic cases could not be adequately classified as either absence, simple, or complex partial status epilepticus when the impairment of consciousness arose form the initial illness. Current classifications of status epilepticus are inadequate for such cases.

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Metadata

Authors
Young, B. G., Jordan, K. G., & Doig, G. S.
Venue
Neurology
Published
1996-07
Volume
47
Issue
1
Pages
83-89
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2019118694
Cited by
668
References
16
FWCI
4.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An assessment of nonconvulsive seizures in the intensive care unit using continuous EEG monitoring: An investigation of variables associated with mortality. https://app.cochat.ai/papers/10.1212/wnl.47.1.83
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Young, B. G., Jordan, K. G., & Doig, G. S. (1996). An assessment of nonconvulsive seizures in the intensive care unit using continuous EEG monitoring: An investigation of variables associated with mortality. Neurology. https://doi.org/10.1212/wnl.47.1.83

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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