Characterization of alcohol-related seizures in withdrawal syndrome.

alcohol withdrawal syndrome alcohol-related seizure delirium tremens kindling severity of alcohol withdrawal syndrome

Journal

Epilepsia open
ISSN: 2470-9239
Titre abrégé: Epilepsia Open
Pays: United States
ID NLM: 101692036

Informations de publication

Date de publication:
27 Jan 2024
Historique:
revised: 14 12 2023
received: 08 07 2023
accepted: 15 01 2024
medline: 28 1 2024
pubmed: 28 1 2024
entrez: 27 1 2024
Statut: aheadofprint

Résumé

Alcohol-related seizures (ARS) are one of the most important consequences of alcohol withdrawal syndrome (AWS). However, demographic and clinical characteristics, and furthermore, the relationship of ARS with delirium tremens (DT), have not yet been evaluated in detail. Therefore, the aim of the present study was to reveal the correlates of ARS and examine the interaction of ARS with the occurrence of DT and with the severity of AWS. In the retrospective study (Study 1) 2851 medical charts of inpatient admissions characterized by AWS and DT were listed. Demographic and clinical variables of ARS were assessed. In the follow-up study (Study 2), patients admitted with AWS without (N = 28) and with (N = 18) ARS were enrolled. Study 1 was performed between 2008 and 2023, and Study 2 was performed in 2019 in Hungary. To determine the severity of AWS, the Clinical Institute Withdrawal Assessment Scale for Alcohol, Revised (CIWA-Ar) was used. ARS is a provoked, occasional seizure; therefore, patients with epilepsy syndrome were excluded from the two studies. Statistical analyses were performed by the means of chi-square tests, multinomial logistic regressions, mixed ANOVA, and derivation. The occurrence of DT, the history of ARS, and somatic co-morbidities were found to be risk factors for the appearance of ARS. ARS was proved to be a risk factor for the development of DT. In the follow-up study, there was no difference in the decrease of CIWA-Ar scores between the groups. Our present findings support the likelihood of kindling, which is one of the most important mechanisms underlying the development of ARS, but do not directly prove its presence. Additionally, our results revealed that the severity of AWS is not influenced by the presence of ARS. Provoked, occasional seizures during AWS are defined as ARS. In the present study, predictors and interactions of these seizures with DT-the most severe form of withdrawal-and with the severity of withdrawal were examined in retrospective and follow-up studies. The present study shows that a history of withdrawal seizures, the occurrence of DT, and somatic comorbidities are predictors of the development of seizures. Furthermore, our findings suggest that the presence of seizures does not influence the severity of withdrawal.

Identifiants

pubmed: 38279829
doi: 10.1002/epi4.12906
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : New National Excellence Program of the Ministry for Culture and Innovation
ID : ÚNKP-22-3-SZTE-251
Organisme : New National Excellence Program of the Ministry for Culture and Innovation
ID : ÚNKP-22-4-SZTE-306
Organisme : Hetényi Géza Grant
ID : SZTE-ÁOK-KKA-2019-HG

Informations de copyright

© 2024 The Authors. Epilepsia Open published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.

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Auteurs

Bettina Kata Kádár (BK)

Addiction Research Group, Department of Psychiatry, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.

Janka Gajdics (J)

Addiction Research Group, Department of Psychiatry, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.

Ildikó Katalin Pribék (IK)

Addiction Research Group, Department of Psychiatry, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.

Bálint Andó (B)

Addiction Research Group, Department of Psychiatry, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.

Bence András Lázár (BA)

Addiction Research Group, Department of Psychiatry, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.

Classifications MeSH