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Metabolic Correlates of the Ictal-Interictal Continuum: FDG-PET During Continuous EEG

Authors :
Lance T. Hall
Gina M. Deck
Aaron F. Struck
M. Brandon Westover
Eric Rosenthal
Andrew J. Cole
Source :
Neurocritical Care. 24:324-331
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Ictal-interictal continuum (IIC) continuous EEG (cEEG) patterns including periodic discharges and rhythmic delta activity are associated with poor outcome and in the appropriate clinical context, IIC patterns may represent “electroclinical” status epilepticus (SE). To clarify the significance of IIC patterns and their relationship to “electrographic” SE, we investigated FDG-PET imaging as a complementary metabolic biomarker of SE among patients with IIC patterns. A single-center prospective clinical database was ascertained for patients undergoing FDG-PET during cEEG. Following MRI-PET co-registration, the maximum standardized uptake value in cortical and subcortical regions was compared to contralateral homologous and cerebellar regions. Consensus cEEG review and clinical rating of etiology and treatment response were performed retrospectively with blinding. Electrographic SE was classified as discrete seizures without interictal recovery or >3-Hz rhythmic IIC patterns. Electroclinical SE was classified as IIC patterns with electrographic and clinical response to anticonvulsants; clonic activity; or persistent post-ictal encephalopathy. Eighteen hospitalized subjects underwent FDG-PET during contemporaneous IIC patterns attributed to structural lesions (44 %), neuroinflammatory/neuroinfectious disease (39 %), or epilepsy (11 %). FDG-PET hypermetabolism was common (61 %) and predicted electrographic or electroclinical SE (sensitivity 79 % [95 % CI 53–93 %] and specificity 100 % [95 % CI 51–100 %]; p = 0.01). Excluding electrographic SE, hypermetabolism also predicted electroclinical SE (sensitivity 80 % [95 % CI 44–94 %] and specificity 100 % [95 % CI 51–100 %]; p = 0.01). In hospitalized patients with IIC EEG patterns, FDG-PET hypermetabolism is common and is a candidate metabolic biomarker of electrographic SE or electroclinical SE.

Details

ISSN :
15560961 and 15416933
Volume :
24
Database :
OpenAIRE
Journal :
Neurocritical Care
Accession number :
edsair.doi.dedup.....9ce1cb4f34531926b3d1f294e3b4282a
Full Text :
https://doi.org/10.1007/s12028-016-0245-y