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Analysis of the short-term outcomes and risk factors of seizure relapse in patients with gliomas after antiepileptic drugs withdrawal

Authors :
Gang Deng
Hongxiang Jiang
Baohui Liu
Cheng Jing
Li Yong
Wang Junmin
Qianxue Chen
Yinqiu Tan
Source :
Journal of Clinical Neuroscience. 82:20-25
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Objective The optimal timing for glioma patients to stop taking antiepileptic drugs (AEDs) and the risk factors of seizure relapse have not been determined. Here, we explored the short-term outcomes and risk factors of seizure relapse in glioma patients after withdrawal of AEDs. Methods 91 patients with gliomas who had no seizures at least 2 years after surgery were enrolled in the study. The patients were followed up for 1 year or until the relapse of seizure after AEDs withdrawal. The risk factors of seizure relapse were analyzed by univariate and multivariate analysis. The optimal discrimination point was determined by plotting a receiver operating characteristic (ROC) curve to explore the relationship between the number of risk factors and seizure relapse. Results 28 patients (30.8%) relapsed during the follow-up period while 63 patients (69.2%) remained seizure-free. Of the 28 relapsed patients, 20 (71.4%) relapsed within the first 6 months after the AEDs withdrawal. Multivariate analyses revealed that subtotal resection (p = 0.026), IDH1 mutation (p = 0.019), and combined use of AEDs (p = 0.037) were independent risk factors for seizure relapse in glioma patients. ROC curve based on the seizure relapse showed that the sensitivity was 0.821 and 1–specificity was 0.238, corresponding to 1.5 independent risk factors for each patient. Conclusion To obtain a favorable outcome for glioma patients with preoperative seizures, only patients with less than two independent risk factors for seizure relapse should consider discontinuing AEDs.

Details

ISSN :
09675868
Volume :
82
Database :
OpenAIRE
Journal :
Journal of Clinical Neuroscience
Accession number :
edsair.doi.dedup.....cafa804039c21f3797e31cec6f4fc819
Full Text :
https://doi.org/10.1016/j.jocn.2020.09.051