Can we predict refractory epilepsy at the time of diagnosis?

Détails

ID Serval
serval:BIB_6A4573F0A561
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Titre
Can we predict refractory epilepsy at the time of diagnosis?
Périodique
Epileptic Disord
Auteur⸱e⸱s
Semah F., Ryvlin P.
ISSN
1294-9361 (Print)
ISSN-L
1294-9361
Statut éditorial
Publié
Date de publication
09/2005
Volume
7 Suppl 1
Pages
S10-3
Langue
anglais
Notes
Semah, Franck
Ryvlin, Philippe
eng
France
Epileptic Disord. 2005 Sep;7 Suppl 1:S10-3.
Résumé
The early prediction of intractability is a major challenge in epileptology. Some prognostic factors have been pointed out, most of which simply underlined that partial epilepsy is more difficult to control than idiopathic generalized epilepsy (IGE). Indeed, the main predictors are the presence of a brain lesion demonstrated by neuroimaging or suggested by a neurological deficit or a developmental delay, as well as electroclinical evidence of non idiopathic partial epilepsy. Little is known about the relationship between the location of the epileptogenic area and the chance of being seizure-free in patients with partial epilepsy. Some data suggest that temporal lobe epilepsy (TLE) is more difficult to control than other partial epilepsies, but this might only reflect the prognostic impact of hippocampal sclerosis. Indeed, several studies have shown that the majority of patients with MRI evidence of hippocampal sclerosis develop refractory epilepsy. This observation also applies to patients with malformation of cortical development (MCD). The response to the first AED is another early predictor of refractory epilepsy. At the time of diagnosis, several prognostic factors are available to predict drug resistance, but further studies are still needed to better delineate the specific role of each of these factors, and to offer a more accurate prediction of long term seizure outcome.
Mots-clé
Drug Resistance, Epilepsy/*diagnosis/genetics/*pathology/therapy, Hippocampus/*pathology, Humans, Magnetic Resonance Imaging, Prognosis, Syndrome, Temporal Lobe/pathology
Pubmed
Création de la notice
29/11/2018 13:37
Dernière modification de la notice
20/08/2019 15:25
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