Literature DB >> 27369692

Minimal EEG montage with high yield for the detection of status epilepticus in the setting of postanoxic brain damage.

Pieternel Vanherpe1, Maarten Schrooten2.   

Abstract

For the diagnosis of electrographic seizures or status epilepticus, we reduced the number of EEG-electrodes to make urgent EEG monitoring more feasible. Unlike the current existing research, with mixed results, we studied a specific population with postanoxic brain damage, expecting a higher yield of detection of ictal EEG patterns. In a population treated with therapeutic hypothermia post-cardiac arrest, the initial EEGs were reformatted in a longitudinal, a hairline and an 8-lead montage, and independently reviewed by two investigators. The EEGs were categorized into three categories: one without ictal EEG activity, one with interictal activity and one with probable electrographic seizure(s). Generalized ictal EEG activity was the most frequently observed EEG pattern. The average sensitivity for the detection of probable electrographic seizure(s) was 100 % for the 8-lead montage and 92 % in the hairline montage. In comparison to the routine longitudinal montage, the 8-lead montage proved to be reliable for the detection of electrographic seizure activity in a postanoxic population even with limited training in EEG interpretation. The hairline montage did not suffice with regard to the differential diagnosis of triphasic waves associated with metabolic encephalopathy and generalized nonconvulsive status epilepticus, but nonetheless detected the vast majority of probable electrographic seizure(s). Our results support the use of EEG monitoring with fewer electrodes for the detection of ictal EEG activity in the postanoxic population.

Entities:  

Keywords:  Cardiac arrest; Electrographic seizures; Hairline EEG; Ictal EEG patterns; Postanoxic brain damage

Mesh:

Year:  2016        PMID: 27369692     DOI: 10.1007/s13760-016-0663-9

Source DB:  PubMed          Journal:  Acta Neurol Belg        ISSN: 0300-9009            Impact factor:   2.396


  2 in total

1.  Cost-effectiveness analysis of multimodal prognostication in cardiac arrest with EEG monitoring.

Authors:  Edilberto Amorim; Shirley S Mo; Sebastian Palacios; Mohammad M Ghassemi; Wei-Hung Weng; Sydney S Cash; Matthew T Bianchi; M Brandon Westover
Journal:  Neurology       Date:  2020-07-13       Impact factor: 9.910

2.  Continuous EEG monitoring by a new simplified wireless headset in intensive care unit.

Authors:  Anselmo Caricato; Giacomo Della Marca; Eleonora Ioannoni; Serena Silva; Tiziana Benzi Markushi; Eleonora Stival; Daniele Guerino Biasucci; Nicola Montano; Camilla Gelormini; Isabella Melchionda
Journal:  BMC Anesthesiol       Date:  2020-12-07       Impact factor: 2.217

  2 in total

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