Literature DB >> 33522601

The ILAE classification of seizures and the epilepsies: Modification for seizures in the neonate. Position paper by the ILAE Task Force on Neonatal Seizures.

Ronit M Pressler1,2, Maria Roberta Cilio3, Eli M Mizrahi4, Solomon L Moshé5,6, Magda L Nunes7, Perrine Plouin8, Sampsa Vanhatalo9, Elissa Yozawitz5,6, Linda S de Vries10, Kollencheri Puthenveettil Vinayan11, Chahnez C Triki12, Jo M Wilmshurst13, Hitoshi Yamamoto14, Sameer M Zuberi15.   

Abstract

Seizures are the most common neurological emergency in the neonatal period and in contrast to those in infancy and childhood, are often provoked seizures with an acute cause and may be electrographic-only. Hence, neonatal seizures may not fit easily into classification schemes for seizures and epilepsies primarily developed for older children and adults. A Neonatal Seizures Task Force was established by the International League Against Epilepsy (ILAE) to develop a modification of the 2017 ILAE Classification of Seizures and Epilepsies, relevant to neonates. The neonatal classification framework emphasizes the role of electroencephalography (EEG) in the diagnosis of seizures in the neonate and includes a classification of seizure types relevant to this age group. The seizure type is determined by the predominant clinical feature. Many neonatal seizures are electrographic-only with no evident clinical features; therefore, these are included in the proposed classification. Clinical events without an EEG correlate are not included. Because seizures in the neonatal period have been shown to have a focal onset, a division into focal and generalized is unnecessary. Seizures can have a motor (automatisms, clonic, epileptic spasms, myoclonic, tonic), non-motor (autonomic, behavior arrest), or sequential presentation. The classification allows the user to choose the level of detail when classifying seizures in this age group.
© 2021 International League Against Epilepsy.

Entities:  

Keywords:  EEG; classification; epilepsy; neonatal seizures; semiology

Mesh:

Year:  2021        PMID: 33522601     DOI: 10.1111/epi.16815

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  20 in total

1.  A clinical approach to encephalopathy in children.

Authors:  Yi Xiu Jocelyn Lim; Suat Yee Kwek; Choon How How; Wei Shih Derrick Chan
Journal:  Singapore Med J       Date:  2020-12       Impact factor: 1.858

2.  Expert consensus on the clinical practice of neonatal brain magnetic resonance imaging.

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Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2022-01-15

3.  Expert consensus on grading management of electroencephalogram monitoring in neonates.

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Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2022-02-15

4.  Evaluation of the clinical effect of an artificial intelligence-assisted diagnosis and treatment system for neonatal seizures in the real world: a multicenter clinical study protocol.

Authors:  Tian-Tian Xiao; Ya-Lan Dou; De-Yi Zhuang; Xu-Hong Hu; Wen-Qing Kang; Lin Guo; Xiao-Fen Zhao; Peng Zhang; Kai Yan; Wei-Li Yan; Guo-Qiang Cheng; Wen-Hao Zhou
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2022-02-15

5.  Exploring the genetic etiology of drug-resistant epilepsy: incorporation of exome sequencing into practice.

Authors:  Mojdeh Mahdiannasser; Ali Rashidi-Nezhad; Reza Shervin Badv; Seyed Mohammad Akrami
Journal:  Acta Neurol Belg       Date:  2022-09-21       Impact factor: 2.471

6.  Ensemble Learning Using Individual Neonatal Data for Seizure Detection.

Authors:  Ana Borovac; Steinn Gudmundsson; Gardar Thorvardsson; Saeed M Moghadam; Paivi Nevalainen; Nathan Stevenson; Sampsa Vanhatalo; Thomas P Runarsson
Journal:  IEEE J Transl Eng Health Med       Date:  2022-08-23

7.  Electrographic Seizures in Neonates with a High Risk of Encephalopathy.

Authors:  Wan-Hsuan Chen; Oi-Wa Chan; Jainn-Jim Lin; Ming-Chou Chiang; Shao-Hsuan Hsia; Huei-Shyong Wang; En-Pei Lee; Yi-Shan Wang; Cheng-Yen Kuo; Kuang-Lin Lin
Journal:  Children (Basel)       Date:  2022-05-24

8.  Modeling seizures in the Human Phenotype Ontology according to contemporary ILAE concepts makes big phenotypic data tractable.

Authors:  David Lewis-Smith; Peter D Galer; Ganna Balagura; Hugh Kearney; Shiva Ganesan; Mahgenn Cosico; Margaret O'Brien; Priya Vaidiswaran; Roland Krause; Colin A Ellis; Rhys H Thomas; Peter N Robinson; Ingo Helbig
Journal:  Epilepsia       Date:  2021-05-05       Impact factor: 6.740

9.  Neonatal Seizures: Providing Care With Evidence, Not Just Experience.

Authors:  Katherine Nickels
Journal:  Epilepsy Curr       Date:  2021-10-07       Impact factor: 7.500

10.  The Frequency of Clinical Seizures in Paroxysmal Events in a Neonatal Intensive Care Unit.

Authors:  Oi-Wa Chan; Wan-Hsuan Chen; Jainn-Jim Lin; Ming-Chou Chiang; Shao-Hsuan Hsia; Huei-Shyong Wang; En-Pei Lee; Yi-Shan Wang; Cheng-Yen Kuo; Kuang-Lin Lin
Journal:  Children (Basel)       Date:  2022-02-11
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