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Latency of poststroke epilepsy can predict drug resistance

BACKGROUND AND PURPOSE: The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of...

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Autores principales: Lattanzi, Simona, Trinka, Eugen, Turcato, Gianni, Rinaldi, Claudia, Cagnetti, Claudia, Foschi, Nicoletta, Broggi, Serena, Norata, Davide, Brigo, Francesco, Silvestrini, Mauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544525/
https://www.ncbi.nlm.nih.gov/pubmed/35582937
http://dx.doi.org/10.1111/ene.15408
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author Lattanzi, Simona
Trinka, Eugen
Turcato, Gianni
Rinaldi, Claudia
Cagnetti, Claudia
Foschi, Nicoletta
Broggi, Serena
Norata, Davide
Brigo, Francesco
Silvestrini, Mauro
author_facet Lattanzi, Simona
Trinka, Eugen
Turcato, Gianni
Rinaldi, Claudia
Cagnetti, Claudia
Foschi, Nicoletta
Broggi, Serena
Norata, Davide
Brigo, Francesco
Silvestrini, Mauro
author_sort Lattanzi, Simona
collection PubMed
description BACKGROUND AND PURPOSE: The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of drug resistance in patients with poststroke epilepsy (PSE). METHODS: Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. Study outcome was the occurrence of drug resistance defined as failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules to achieve sustained seizure freedom. RESULTS: One hundred fifty‐nine patients with PSE and a median follow‐up of 5 (interquartile range [IQR] = 3–9) years were included. In the study cohort, 29 (18.2%) participants were drug resistant. The median length of the time interval between stroke and PSE onset was 13 (IQR = 7–15) months in drug‐resistant patients and 19 (IQR = 14–42) months (p < 0.001) in patients with seizure control. According to multivariable regression analysis, the time from stroke to PSE was an independent predictor of drug resistance (p < 0.001). The risk of drug resistance was highest when the onset of PSE occurred within the first months from stroke and decreased progressively with a steeper decline over the first 12 months. CONCLUSIONS: Substantial variability may exist in the pathways leading to PSE and distinguish patients with a variable risk of drug resistance.
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spelling pubmed-95445252022-10-14 Latency of poststroke epilepsy can predict drug resistance Lattanzi, Simona Trinka, Eugen Turcato, Gianni Rinaldi, Claudia Cagnetti, Claudia Foschi, Nicoletta Broggi, Serena Norata, Davide Brigo, Francesco Silvestrini, Mauro Eur J Neurol Epilepsy BACKGROUND AND PURPOSE: The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of drug resistance in patients with poststroke epilepsy (PSE). METHODS: Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. Study outcome was the occurrence of drug resistance defined as failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules to achieve sustained seizure freedom. RESULTS: One hundred fifty‐nine patients with PSE and a median follow‐up of 5 (interquartile range [IQR] = 3–9) years were included. In the study cohort, 29 (18.2%) participants were drug resistant. The median length of the time interval between stroke and PSE onset was 13 (IQR = 7–15) months in drug‐resistant patients and 19 (IQR = 14–42) months (p < 0.001) in patients with seizure control. According to multivariable regression analysis, the time from stroke to PSE was an independent predictor of drug resistance (p < 0.001). The risk of drug resistance was highest when the onset of PSE occurred within the first months from stroke and decreased progressively with a steeper decline over the first 12 months. CONCLUSIONS: Substantial variability may exist in the pathways leading to PSE and distinguish patients with a variable risk of drug resistance. John Wiley and Sons Inc. 2022-05-30 2022-08 /pmc/articles/PMC9544525/ /pubmed/35582937 http://dx.doi.org/10.1111/ene.15408 Text en © 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology. 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 Epilepsy
Lattanzi, Simona
Trinka, Eugen
Turcato, Gianni
Rinaldi, Claudia
Cagnetti, Claudia
Foschi, Nicoletta
Broggi, Serena
Norata, Davide
Brigo, Francesco
Silvestrini, Mauro
Latency of poststroke epilepsy can predict drug resistance
title Latency of poststroke epilepsy can predict drug resistance
title_full Latency of poststroke epilepsy can predict drug resistance
title_fullStr Latency of poststroke epilepsy can predict drug resistance
title_full_unstemmed Latency of poststroke epilepsy can predict drug resistance
title_short Latency of poststroke epilepsy can predict drug resistance
title_sort latency of poststroke epilepsy can predict drug resistance
topic Epilepsy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544525/
https://www.ncbi.nlm.nih.gov/pubmed/35582937
http://dx.doi.org/10.1111/ene.15408
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