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Clinical phenotypes within nonconvulsive status epilepticus

The study aimed to identify distinct phenotypes within nonconvulsive status epilepticus (NCSE). Consecutive episodes of NCSE in patients at least 14 years old were included. The level of consciousness was assessed through the Glasgow Coma Scale (GCS). Etiology of NCSE was defined as symptomatic (acu...

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Autores principales: Lattanzi, Simona, Giovannini, Giada, Brigo, Francesco, Orlandi, Niccolò, Trinka, Eugen, Meletti, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456934/
https://www.ncbi.nlm.nih.gov/pubmed/34244997
http://dx.doi.org/10.1111/epi.16999
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author Lattanzi, Simona
Giovannini, Giada
Brigo, Francesco
Orlandi, Niccolò
Trinka, Eugen
Meletti, Stefano
author_facet Lattanzi, Simona
Giovannini, Giada
Brigo, Francesco
Orlandi, Niccolò
Trinka, Eugen
Meletti, Stefano
author_sort Lattanzi, Simona
collection PubMed
description The study aimed to identify distinct phenotypes within nonconvulsive status epilepticus (NCSE). Consecutive episodes of NCSE in patients at least 14 years old were included. The level of consciousness was assessed through the Glasgow Coma Scale (GCS). Etiology of NCSE was defined as symptomatic (acute, remote, progressive) or unknown. Electroencephalographic (EEG) recordings were searched for lateralized periodic discharges (LPDs), generalized sharply and/or triphasic periodic potentials (GPDs), and spontaneous burst suppression (BS). According to treatment response, NCSE was classified as responsive, refractory, or superrefractory. Average linkage hierarchical cluster analysis was performed with Pearson correlation as similarity measure. Two hundred twenty‐nine episodes of NCSE were included. Three clusters were identified. The first cluster linked GCS score 3–8, presence of spontaneous BS on EEG, acute symptomatic etiology, and treatment superrefractoriness. The second cluster gathered GCS score 9–12, presence of LPDs or GPDs on EEG, unknown etiology, and treatment refractoriness. The third cluster associated GCS score 13–15, absence of LPDs, GPDs, and spontaneous BS on EEG, and progressive and remote symptomatic etiology with treatment responsiveness. Phenotyping the heterogeneity of NCSE into electroclinical clusters can contribute to understanding correlations between pathologic and clinical domains, assessing the intrinsic severity of NCSE episodes, and estimating the likelihood of treatment responsiveness.
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spelling pubmed-84569342021-09-27 Clinical phenotypes within nonconvulsive status epilepticus Lattanzi, Simona Giovannini, Giada Brigo, Francesco Orlandi, Niccolò Trinka, Eugen Meletti, Stefano Epilepsia Brief Communication The study aimed to identify distinct phenotypes within nonconvulsive status epilepticus (NCSE). Consecutive episodes of NCSE in patients at least 14 years old were included. The level of consciousness was assessed through the Glasgow Coma Scale (GCS). Etiology of NCSE was defined as symptomatic (acute, remote, progressive) or unknown. Electroencephalographic (EEG) recordings were searched for lateralized periodic discharges (LPDs), generalized sharply and/or triphasic periodic potentials (GPDs), and spontaneous burst suppression (BS). According to treatment response, NCSE was classified as responsive, refractory, or superrefractory. Average linkage hierarchical cluster analysis was performed with Pearson correlation as similarity measure. Two hundred twenty‐nine episodes of NCSE were included. Three clusters were identified. The first cluster linked GCS score 3–8, presence of spontaneous BS on EEG, acute symptomatic etiology, and treatment superrefractoriness. The second cluster gathered GCS score 9–12, presence of LPDs or GPDs on EEG, unknown etiology, and treatment refractoriness. The third cluster associated GCS score 13–15, absence of LPDs, GPDs, and spontaneous BS on EEG, and progressive and remote symptomatic etiology with treatment responsiveness. Phenotyping the heterogeneity of NCSE into electroclinical clusters can contribute to understanding correlations between pathologic and clinical domains, assessing the intrinsic severity of NCSE episodes, and estimating the likelihood of treatment responsiveness. John Wiley and Sons Inc. 2021-07-09 2021-09 /pmc/articles/PMC8456934/ /pubmed/34244997 http://dx.doi.org/10.1111/epi.16999 Text en © 2021 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Brief Communication
Lattanzi, Simona
Giovannini, Giada
Brigo, Francesco
Orlandi, Niccolò
Trinka, Eugen
Meletti, Stefano
Clinical phenotypes within nonconvulsive status epilepticus
title Clinical phenotypes within nonconvulsive status epilepticus
title_full Clinical phenotypes within nonconvulsive status epilepticus
title_fullStr Clinical phenotypes within nonconvulsive status epilepticus
title_full_unstemmed Clinical phenotypes within nonconvulsive status epilepticus
title_short Clinical phenotypes within nonconvulsive status epilepticus
title_sort clinical phenotypes within nonconvulsive status epilepticus
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456934/
https://www.ncbi.nlm.nih.gov/pubmed/34244997
http://dx.doi.org/10.1111/epi.16999
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