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Epilepsia
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
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Epilepsy with generalized tonic–clonic seizures alone: Electroclinical features and prognostic patterns

electroclinical features and prognostic patterns
Authors: Emanuele Cerulli Irelli; Gesche Joanna; Schlabitz, Sophie; Fortunato, Francesco; Catania Cecilia; Alessandra Morano; Labate Angelo; +7 Authors

Epilepsy with generalized tonic–clonic seizures alone: Electroclinical features and prognostic patterns

Abstract

AbstractObjectiveEpilepsy with generalized tonic–clonic seizures alone (GTCA) is a common but poorly characterized idiopathic generalized epilepsy (IGE) syndrome. Hence, we investigated electroclinical features, seizure outcome, and antiseizure medication (ASM) withdrawal in a large cohort of GTCA patients.MethodsIn this multicenter retrospective study, GTCA patients defined according to the diagnostic criteria of the International League Against Epilepsy (2022) were included. We investigated prognostic patterns, drug resistance at the last visit, and ASM withdrawal, along with their prognostic factors.ResultsWe included 247 patients with a median (interquartile range [IQR]) age at onset of 17 years (13–22) and a median follow‐up duration of 10 years (IQR = 5–20). Drug resistance at the last visit was observed in 40 (16.3%) patients, whereas the median latency to achieve 2‐year remission was 24 months (IQR = 24–46.5) with a median number of 1 (IQR = 1–2) ASM. During the long‐term follow‐up (i.e., 202 patients followed ≥5‐years after the first ASM trial), 69 (34.3%) patients displayed an early remission pattern and 36 (17.9%) patients displayed a late remission pattern, whereas 16 (8%) and 73 (36.3%) individuals had no‐remission and relapsing–remitting patterns, respectively. Catamenial seizures and morning predominance of generalized tonic–clonic seizures (GTCS) independently predicted drug resistance at the last visit according to multivariable logistic regression. Treatment withdrawal was attempted in 63 (25.5%) patients, with 59 (93.7%) of them having at least a 12‐month follow‐up after ASM discontinuation. At the last visit, 49 (83%) of those patients had experienced GTCS recurrence. A longer duration of seizure freedom was the only factor predicting a higher chance of successful ASM withdrawal according to multivariable Cox regression.SignificanceGTCA could be considered a relatively easily manageable IGE syndrome, with a low rate of drug resistance and a high prevalence of early response to treatment. Nevertheless, a considerable proportion of patients experience relapsing patterns of seizure control, highlighting the need for appropriate counseling and lifestyle recommendations.

Countries
Denmark, Italy
Keywords

Generalized/diagnosis, antiseizure medication (ASM), Carbamazepine/therapeutic use, Epilepsies, Immunoglobulin E/therapeutic use, Glucosides, Seizures/diagnosis, Seizures, Recurrence, Humans, antiseizure medication (ASM); drug resistance; idiopathic generalized epilepsy (IGE); prognostic factors; withdrawal, Epilepsies, Partial/drug therapy, Retrospective Studies, drug resistance, Epilepsy, withdrawal, Epilepsy, Generalized/diagnosis, idiopathic generalized epilepsy (IGE), Anticonvulsants/therapeutic use, prognostic factors, Immunoglobulin E, Prognosis, Partial/drug therapy, Thiazoles, Tonic-Clonic/drug therapy, Carbamazepine, Epilepsy, Tonic-Clonic/drug therapy, Anticonvulsants, Epilepsy, Generalized, Epilepsies, Partial, Epilepsy, Tonic-Clonic

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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green
bronze