Literature DB >> 30818180

Resident training and interrater agreements using the ACNS critical care EEG terminology.

Joy Zhuo Ding1, Ranjeeta Mallick2, Josee Carpentier3, Kristin McBain4, Nicolas Gaspard5, M Brandon Westover6, Tadeu A Fantaneanu7.   

Abstract

PURPOSE: Electroencephalography (EEG) remains the gold standard for identifying rhythmic and periodic patterns in critically ill patients. Residents have frequent exposures to EEG and critically ill patients during their training. Our study aimed to assess resident competency in the use of the American Clinical Neurophysiology Society (ACNS) critical care EEG terminology.
METHODS: After self-guided reading and a 2-hour session reviewing the ACNS critical care EEG Terminology training slides, 16 adult neurology residents (PGY 2-4) completed the ACNS certification test. Performance scores were reported as average percent agreement (PA%) with a previously established 5-member expert panel. Interrater agreement was calculated to gauge consensus among peers within the resident cohort. Self-reported comfort levels using the terminology were also obtained.
RESULTS: The overall pass rate for our cohort was 50% and the median score was 74%. The terms with the highest PA% were: seizures (86.4%), main term 1 (78%), main term 2 (74%). Interrater agreement scores (kappa values) were almost perfect for seizure, and substantial for main terms 1 and 2.
CONCLUSIONS: Our data suggests that with minimal investment, adult neurology residents at various stages of training can effectively learn the ACNS critical care EEG Terminology.
Copyright © 2019 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ACNS critical care EEG terminology

Mesh:

Year:  2019        PMID: 30818180      PMCID: PMC6778405          DOI: 10.1016/j.seizure.2019.02.013

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  9 in total

Review 1.  ACNS Critical Care EEG Terminology: Value, Limitations, and Perspectives.

Authors:  Nicolas Gaspard
Journal:  J Clin Neurophysiol       Date:  2015-12       Impact factor: 2.177

2.  Computing inter-rater reliability and its variance in the presence of high agreement.

Authors:  Kilem Li Gwet
Journal:  Br J Math Stat Psychol       Date:  2008-05       Impact factor: 3.380

Review 3.  American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology: 2012 version.

Authors:  L J Hirsch; S M LaRoche; N Gaspard; E Gerard; A Svoronos; S T Herman; R Mani; H Arif; N Jette; Y Minazad; J F Kerrigan; P Vespa; S Hantus; J Claassen; G B Young; E So; P W Kaplan; M R Nuwer; N B Fountain; F W Drislane
Journal:  J Clin Neurophysiol       Date:  2013-02       Impact factor: 2.177

4.  Consensus statement on continuous EEG in critically ill adults and children, part II: personnel, technical specifications, and clinical practice.

Authors:  Susan T Herman; Nicholas S Abend; Thomas P Bleck; Kevin E Chapman; Frank W Drislane; Ronald G Emerson; Elizabeth E Gerard; Cecil D Hahn; Aatif M Husain; Peter W Kaplan; Suzette M LaRoche; Marc R Nuwer; Mark Quigg; James J Riviello; Sarah E Schmitt; Liberty A Simmons; Tammy N Tsuchida; Lawrence J Hirsch
Journal:  J Clin Neurophysiol       Date:  2015-04       Impact factor: 2.177

5.  Understanding and Managing the Ictal-Interictal Continuum in Neurocritical Care.

Authors:  Adithya Sivaraju; Emily J Gilmore
Journal:  Curr Treat Options Neurol       Date:  2016-02       Impact factor: 3.598

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

Authors:  G B Young; K G Jordan; G S Doig
Journal:  Neurology       Date:  1996-07       Impact factor: 9.910

7.  Prevalence of nonconvulsive status epilepticus in comatose patients.

Authors:  A R Towne; E J Waterhouse; J G Boggs; L K Garnett; A J Brown; J R Smith; R J DeLorenzo
Journal:  Neurology       Date:  2000-01-25       Impact factor: 9.910

8.  Utilization of below-the-hairline EEG in detecting subclinical seizures.

Authors:  Ellen J Bubrick; Edward B Bromfield; Barbara A Dworetzky
Journal:  Clin EEG Neurosci       Date:  2010-01       Impact factor: 1.843

9.  Interrater agreement for Critical Care EEG Terminology.

Authors:  Nicolas Gaspard; Lawrence J Hirsch; Suzette M LaRoche; Cecil D Hahn; M Brandon Westover
Journal:  Epilepsia       Date:  2014-06-02       Impact factor: 5.864

  9 in total
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Authors:  John Thomas; Prasanth Thangavel; Wei Yan Peh; Jin Jing; Rajamanickam Yuvaraj; Sydney S Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Brandon Westover; Justin Dauwels
Journal:  Int J Neural Syst       Date:  2021-01-12       Impact factor: 6.325

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

Authors:  Yi Pan; Christopher Laohathai; Daniel J Weber
Journal:  Epilepsy Behav Rep       Date:  2020-11-17

3.  Prospective evaluation of interrater agreement between EEG technologists and neurophysiologists.

Authors:  Isabelle Beuchat; Senubia Alloussi; Philipp S Reif; Nora Sterlepper; Felix Rosenow; Adam Strzelczyk
Journal:  Sci Rep       Date:  2021-06-28       Impact factor: 4.379

4.  Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.

Authors:  Prasanth Thangavel; John Thomas; Wei Yan Peh; Jin Jing; Rajamanickam Yuvaraj; Sydney S Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Brandon Westover; Justin Dauwels
Journal:  Int J Neural Syst       Date:  2021-07-16       Impact factor: 6.325

  4 in total

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