Literature DB >> 25524842

Non-expert use of quantitative EEG displays for seizure identification in the adult neuro-intensive care unit.

Nese Dericioglu1, Ezgi Yetim2, Demet Funda Bas2, Nuray Bilgen2, Gulsen Caglar2, Ethem Murat Arsava2, Mehmet Akif Topcuoglu2.   

Abstract

Video-EEG monitoring is the ultimate way to diagnose non-convulsive status epilepticus (NCSE) in intensive care units (ICU). Usually EEG recordings are evaluated once a day by an electrophysiologist, which may lead to delay in diagnosis. Digital EEG trend analysis methods like amplitude integrated EEG (aEEG) and density spectral array (DSA) have been developed to facilitate recognition of seizures. In this study, we aimed to investigate the diagnostic utility of these methods by non-expert physicians and ICU nurses for NCSE identification in an adult neurological ICU. Ten patients with NCSE and ten control patients without seizures were included in the study. The raw EEG recordings of all subjects were converted to both aEEG and DSA and displayed simultaneously without conventional EEG. After training for seizure recognition with both methods, two physicians and two nurses analyzed the visual displays individually, and marked seizure timings. Their results were compared with those of a study epileptologist. Participants analyzed 615h of EEG data with 700 seizures. Overall, 63% of the seizures were recognized by all, 15.6% by three, 11.6% by two, 8.3% by one rater and only 1.5% were missed by all of them (sensitivity was 88-99%, and specificity was 89-95% when the ratings were assessed as 1-h epochs). False positive rates were 1 per 2h in the study and 1 per 6h in the control groups. Interrater agreement was high (κ=0.79-0.81). Bilateral independent seizures and ictal recordings with lower amplitude and shorter duration were more likely to be missed. There was no difference in performance between the rating of physicians and nurses. Our study demonstrates that bedside nurses, ICU fellows and residents can achieve acceptable level of accuracy for seizure identification using the digital EEG trend analysis methods following brief training. This may help earlier notification of the electrophysiologist who is not always available in ICUs.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adult; Critical illness; EEG; Intensive care; Status epilepticus

Mesh:

Year:  2014        PMID: 25524842     DOI: 10.1016/j.eplepsyres.2014.10.013

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  23 in total

1.  Successful treatment of non-convulsive status epilepticus diagnosed using bedside monitoring by a combination of amplitude-integrated and two-channel simplified electroencephalography.

Authors:  Satoshi Egawa; Toru Hifumi; Kenya Kawakita; Arisa Manabe; Hikari Matumura; Tomoya Okazaki; Hideyuki Hamaya; Natuyo Shinohara; Hajime Shishido; Koshiro Takano; Yuko Abe; Masanobu Hagiike; Yasuhiro Kuroda
Journal:  Acute Med Surg       Date:  2015-08-27

2.  When the Waves Become Rainbows: Improving Seizure Detection in the Pediatric ICU.

Authors:  Mohamad Koubeissi
Journal:  Epilepsy Curr       Date:  2018 Mar-Apr       Impact factor: 7.500

Review 3.  Electroencephalography in epilepsy: look for what could be beyond the visual inspection.

Authors:  Boulenouar Mesraoua; Dirk Deleu; Hassan Al Hail; Gayane Melikyan; Paul Boon; Hiba A Haider; Ali A Asadi-Pooya
Journal:  Neurol Sci       Date:  2019-07-27       Impact factor: 3.307

4.  Guiding Antiepileptic Therapy in a Pediatric Patient with Severe Meningoencephalitis and Decompressive Craniectomy with the Use of Amplitude-Integrated Electroencephalography.

Authors:  Karl F Schettler; Beatrice Heineking; Silvia Fernandez-Rodriguez; Angelika Pilger; Nikolaus Alexander Haas
Journal:  J Pediatr Intensive Care       Date:  2016-08-08

5.  Performance of Spectrogram-Based Seizure Identification of Adult EEGs by Critical Care Nurses and Neurophysiologists.

Authors:  Edilberto Amorim; Craig A Williamson; Lidia M V R Moura; Mouhsin M Shafi; Nicolas Gaspard; Eric S Rosenthal; Mary M Guanci; Venkatakrishna Rajajee; M Brandon Westover
Journal:  J Clin Neurophysiol       Date:  2017-07       Impact factor: 2.177

Review 6.  Neurophysiological assessment of brain dysfunction in critically ill patients: an update.

Authors:  Eric Azabou; Catherine Fischer; Jean Michel Guerit; Djillali Annane; François Mauguiere; Fréderic Lofaso; Tarek Sharshar
Journal:  Neurol Sci       Date:  2017-01-21       Impact factor: 3.307

7.  Seizure Detection by Critical Care Providers Using Amplitude-Integrated Electroencephalography and Color Density Spectral Array in Pediatric Cardiac Arrest Patients.

Authors:  Geneviève Du Pont-Thibodeau; Sarah M Sanchez; Abbas F Jawad; Vinay M Nadkarni; Robert A Berg; Nicholas S Abend; Alexis A Topjian
Journal:  Pediatr Crit Care Med       Date:  2017-04       Impact factor: 3.624

8.  Quantitative Continuous EEG: Bridging the Gap Between the ICU Bedside and the EEG Interpreter.

Authors:  Andreas H Kramer; Julie Kromm
Journal:  Neurocrit Care       Date:  2019-06       Impact factor: 3.210

9.  Teaching Important Basic EEG Patterns of Bedside Electroencephalography to Critical Care Staffs: A Prospective Multicenter Study.

Authors:  Stephane Legriel; Gwenaëlle Jacq; Amandine Lalloz; Guillaume Geri; Pedro Mahaux; Cedric Bruel; Sandie Brochon; Benjamin Zuber; Cécile André; Krystel Dervin; Mathilde Holleville; Alain Cariou
Journal:  Neurocrit Care       Date:  2021-02       Impact factor: 3.210

Review 10.  Structure and Outcomes of Educational Programs for Training Non-electroencephalographers in Performing and Screening Adult EEG: A Systematic Review.

Authors:  Julie Kromm; Kirsten M Fiest; Ayham Alkhachroum; Colin Josephson; Andreas Kramer; Nathalie Jette
Journal:  Neurocrit Care       Date:  2021-02-16       Impact factor: 3.210

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