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Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG

OBJECTIVE: Markers of seizure recurrence are needed to personalize antiseizure medication (ASM) therapy. In the clinical practice, EEG features are considered to be related to the risk of seizure recurrence for genetic generalized epilepsies (GGE). However, to our knowledge, there are no studies ana...

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Autores principales: Turco, Francesco, Bonanni, Enrica, Milano, Chiara, Pizzanelli, Chiara, Steinwurzel, Cecilia, Morganti, Riccardo, Fornai, Francesco, Maestri, Michelangelo, Siciliano, Gabriele, Giorgi, Filippo Sean
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/PMC8251928/
https://www.ncbi.nlm.nih.gov/pubmed/33735449
http://dx.doi.org/10.1111/epi.16875
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author Turco, Francesco
Bonanni, Enrica
Milano, Chiara
Pizzanelli, Chiara
Steinwurzel, Cecilia
Morganti, Riccardo
Fornai, Francesco
Maestri, Michelangelo
Siciliano, Gabriele
Giorgi, Filippo Sean
author_facet Turco, Francesco
Bonanni, Enrica
Milano, Chiara
Pizzanelli, Chiara
Steinwurzel, Cecilia
Morganti, Riccardo
Fornai, Francesco
Maestri, Michelangelo
Siciliano, Gabriele
Giorgi, Filippo Sean
author_sort Turco, Francesco
collection PubMed
description OBJECTIVE: Markers of seizure recurrence are needed to personalize antiseizure medication (ASM) therapy. In the clinical practice, EEG features are considered to be related to the risk of seizure recurrence for genetic generalized epilepsies (GGE). However, to our knowledge, there are no studies analyzing systematically specific EEG features as indices of ASM efficacy in GGE. In this study, we aimed at identifying EEG indicators of ASM responsiveness in Juvenile Myoclonic Epilepsy (JME), which, among GGE, is characterized by specific electroclinical features. METHODS: We compared the features of prolonged ambulatory EEG (paEEG, 22 h of recording) of JME patients experiencing seizure recurrence within a year (“cases”) after EEG recording, with those of patients with sustained seizure freedom for at least 1 year after EEG (“controls”). We included only EEG recordings of patients who had maintained the same ASM regimen (dosage and type) throughout the whole time period from the EEG recording up to the outcome events (which was seizure recurrence for the “cases”, or 1‐year seizure freedom for “controls”). As predictors, we evaluated the total number, frequency, mean and maximum duration of epileptiform discharges (EDs) and spike density (i.e. total EDs duration/artifact‐free EEG duration) recorded during the paEEG. The same indexes were assessed also in standard EEG (stEEG), including activation methods. RESULTS: Both the maximum length and the mean duration of EDs recorded during paEEG significantly differed between cases and controls; when combined in a binary logistic regression model, the maximum length of EDs emerged as the only valid predictor. A cut‐off of EDs duration of 2.68 seconds discriminated between cases and controls with a 100% specificity and a 93% sensitivity. The same indexes collected during stEEG lacked both specificity and sensitivity. SIGNIFICANCE: The occurrence of prolonged EDs in EEG recording might represent an indicator of antiepileptic drug failure in JME patients.
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spelling pubmed-82519282021-07-07 Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG Turco, Francesco Bonanni, Enrica Milano, Chiara Pizzanelli, Chiara Steinwurzel, Cecilia Morganti, Riccardo Fornai, Francesco Maestri, Michelangelo Siciliano, Gabriele Giorgi, Filippo Sean Epilepsia Full‐length Original Research OBJECTIVE: Markers of seizure recurrence are needed to personalize antiseizure medication (ASM) therapy. In the clinical practice, EEG features are considered to be related to the risk of seizure recurrence for genetic generalized epilepsies (GGE). However, to our knowledge, there are no studies analyzing systematically specific EEG features as indices of ASM efficacy in GGE. In this study, we aimed at identifying EEG indicators of ASM responsiveness in Juvenile Myoclonic Epilepsy (JME), which, among GGE, is characterized by specific electroclinical features. METHODS: We compared the features of prolonged ambulatory EEG (paEEG, 22 h of recording) of JME patients experiencing seizure recurrence within a year (“cases”) after EEG recording, with those of patients with sustained seizure freedom for at least 1 year after EEG (“controls”). We included only EEG recordings of patients who had maintained the same ASM regimen (dosage and type) throughout the whole time period from the EEG recording up to the outcome events (which was seizure recurrence for the “cases”, or 1‐year seizure freedom for “controls”). As predictors, we evaluated the total number, frequency, mean and maximum duration of epileptiform discharges (EDs) and spike density (i.e. total EDs duration/artifact‐free EEG duration) recorded during the paEEG. The same indexes were assessed also in standard EEG (stEEG), including activation methods. RESULTS: Both the maximum length and the mean duration of EDs recorded during paEEG significantly differed between cases and controls; when combined in a binary logistic regression model, the maximum length of EDs emerged as the only valid predictor. A cut‐off of EDs duration of 2.68 seconds discriminated between cases and controls with a 100% specificity and a 93% sensitivity. The same indexes collected during stEEG lacked both specificity and sensitivity. SIGNIFICANCE: The occurrence of prolonged EDs in EEG recording might represent an indicator of antiepileptic drug failure in JME patients. John Wiley and Sons Inc. 2021-03-18 2021-05 /pmc/articles/PMC8251928/ /pubmed/33735449 http://dx.doi.org/10.1111/epi.16875 Text en © 2021 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Full‐length Original Research
Turco, Francesco
Bonanni, Enrica
Milano, Chiara
Pizzanelli, Chiara
Steinwurzel, Cecilia
Morganti, Riccardo
Fornai, Francesco
Maestri, Michelangelo
Siciliano, Gabriele
Giorgi, Filippo Sean
Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG
title Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG
title_full Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG
title_fullStr Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG
title_full_unstemmed Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG
title_short Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG
title_sort prolonged epileptic discharges predict seizure recurrence in jme: insights from prolonged ambulatory eeg
topic Full‐length Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8251928/
https://www.ncbi.nlm.nih.gov/pubmed/33735449
http://dx.doi.org/10.1111/epi.16875
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