Latency of poststroke epilepsy can predict drug resistance.


Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
08 2022
Historique:
revised: 28 03 2022
received: 14 02 2022
accepted: 12 05 2022
pubmed: 19 5 2022
medline: 19 7 2022
entrez: 18 5 2022
Statut: ppublish

Résumé

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). 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. 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. Substantial variability may exist in the pathways leading to PSE and distinguish patients with a variable risk of drug resistance.

Sections du résumé

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.

Identifiants

pubmed: 35582937
doi: 10.1111/ene.15408
pmc: PMC9544525
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2481-2485

Informations de copyright

© 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

Références

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pubmed: 35582937
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Auteurs

Simona Lattanzi (S)

Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

Eugen Trinka (E)

Department of Neurology, Christian Doppler Clinic, Paracelsus Medical University, Salzburg, Austria.
Center for Cognitive Neuroscience, Salzburg, Austria.
Public Health, Health Services Research, and Health Technology Assessment, University for Health Sciences, Medical Informatics, and Technology, Hall in Tirol, Austria.

Gianni Turcato (G)

Emergency Department, Franz Tappeiner Hospital, Merano, Italy.

Claudia Rinaldi (C)

Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

Claudia Cagnetti (C)

Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

Nicoletta Foschi (N)

Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

Serena Broggi (S)

Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

Davide Norata (D)

Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

Francesco Brigo (F)

Division of Neurology, Franz Tappeiner Hospital, Merano, Italy.

Mauro Silvestrini (M)

Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy.

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