The effectiveness of neurology resident EEG training for seizure recognition in critically ill patients

EEG monitoring in the ICU is essential for diagnosing seizures in critically ill patients. Neurology residents are the frontline for rapid diagnosis of seizures. Residents received EEG training through didactic lectures and their epilepsy rotations. We hypothesized that seizure recognition was depen...

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Main Authors: Yi Pan, Christopher Laohathai, Daniel J. Weber
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Epilepsy & Behavior Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589986420300563
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author Yi Pan
Christopher Laohathai
Daniel J. Weber
author_facet Yi Pan
Christopher Laohathai
Daniel J. Weber
author_sort Yi Pan
collection DOAJ
description EEG monitoring in the ICU is essential for diagnosing seizures in critically ill patients. Neurology residents are the frontline for rapid diagnosis of seizures. Residents received EEG training through didactic lectures and their epilepsy rotations. We hypothesized that seizure recognition was dependent on epilepsy rotation, not the seniority of the residency. Residents were taught ACNS Standardized Critical Care EEG Terminology, unified EEG terminology and criteria for non-convulsive status epilepticus. EEG segments were given to residents for seizure recognition, and explanations provided to residents after each test. Anonymous results with the postgraduate training year (PGY) and time spent in epilepsy rotation were collected. These tests were conducted 3 times, with total of 48 EEG segments, between October, 2017 and May, 2019. There were 43 participates, including 4 PGY-1 (9.3%), 20 PGY-2 (46.5%), 12 PGY-3 (27.9%), and 7 PGY-4 (16.3%) residents. The mean rate of seizure recognition was 57.1% in PGY-1, 63.8% in PGY-2, 58.4% in PGY-3, and 70.1% in PGY-4. Comparing the duration of epilepsy rotations, the mean correct scores of seizure recognition were 58.6%, 64.6%, 64.4%, and 67.3% for duration at 0, 0.5, 1, and 2 months respectively. There was no significant difference regarding the PGY or the time of epilepsy rotation statistically by ANOVA (p = 0.37). Seizure recognition in the EEG of a critically ill patient is not solely dependent time spent in epilepsy rotation or stage of residency training. EEG interpretation skill may require an alternate approach, and continuous training.
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spelling doaj.art-0f7b3d1a89db4a91ba7da8cc910e5d322022-12-21T22:52:49ZengElsevierEpilepsy & Behavior Reports2589-98642021-01-0115100408The effectiveness of neurology resident EEG training for seizure recognition in critically ill patientsYi Pan0Christopher Laohathai1Daniel J. Weber2Corresponding author.; Department of Neurology, Saint Louis University, SLUCare Academic Pavilion, 1008 S. Spring, St. Louis, MO 63110, USADepartment of Neurology, Saint Louis University, SLUCare Academic Pavilion, 1008 S. Spring, St. Louis, MO 63110, USADepartment of Neurology, Saint Louis University, SLUCare Academic Pavilion, 1008 S. Spring, St. Louis, MO 63110, USAEEG monitoring in the ICU is essential for diagnosing seizures in critically ill patients. Neurology residents are the frontline for rapid diagnosis of seizures. Residents received EEG training through didactic lectures and their epilepsy rotations. We hypothesized that seizure recognition was dependent on epilepsy rotation, not the seniority of the residency. Residents were taught ACNS Standardized Critical Care EEG Terminology, unified EEG terminology and criteria for non-convulsive status epilepticus. EEG segments were given to residents for seizure recognition, and explanations provided to residents after each test. Anonymous results with the postgraduate training year (PGY) and time spent in epilepsy rotation were collected. These tests were conducted 3 times, with total of 48 EEG segments, between October, 2017 and May, 2019. There were 43 participates, including 4 PGY-1 (9.3%), 20 PGY-2 (46.5%), 12 PGY-3 (27.9%), and 7 PGY-4 (16.3%) residents. The mean rate of seizure recognition was 57.1% in PGY-1, 63.8% in PGY-2, 58.4% in PGY-3, and 70.1% in PGY-4. Comparing the duration of epilepsy rotations, the mean correct scores of seizure recognition were 58.6%, 64.6%, 64.4%, and 67.3% for duration at 0, 0.5, 1, and 2 months respectively. There was no significant difference regarding the PGY or the time of epilepsy rotation statistically by ANOVA (p = 0.37). Seizure recognition in the EEG of a critically ill patient is not solely dependent time spent in epilepsy rotation or stage of residency training. EEG interpretation skill may require an alternate approach, and continuous training.http://www.sciencedirect.com/science/article/pii/S2589986420300563Neurology residencyElectroencephalographySeizureEEG trainingACNS critical care EEG terminology
spellingShingle Yi Pan
Christopher Laohathai
Daniel J. Weber
The effectiveness of neurology resident EEG training for seizure recognition in critically ill patients
Epilepsy & Behavior Reports
Neurology residency
Electroencephalography
Seizure
EEG training
ACNS critical care EEG terminology
title The effectiveness of neurology resident EEG training for seizure recognition in critically ill patients
title_full The effectiveness of neurology resident EEG training for seizure recognition in critically ill patients
title_fullStr The effectiveness of neurology resident EEG training for seizure recognition in critically ill patients
title_full_unstemmed The effectiveness of neurology resident EEG training for seizure recognition in critically ill patients
title_short The effectiveness of neurology resident EEG training for seizure recognition in critically ill patients
title_sort effectiveness of neurology resident eeg training for seizure recognition in critically ill patients
topic Neurology residency
Electroencephalography
Seizure
EEG training
ACNS critical care EEG terminology
url http://www.sciencedirect.com/science/article/pii/S2589986420300563
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