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抗癫痫药物停药后癫痫复发风险预测。

Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs.

机构信息

Department of Neurosciences, Drug and Child Health, University of Florence, Florence, Italy.

Department of Statistics Informatics and Application "G.Parenti", University of Florence, Florence, Italy.

出版信息

Epilepsia. 2021 Sep;62(9):2159-2170. doi: 10.1111/epi.16993. Epub 2021 Jul 12.

Abstract

OBJECTIVE

Discontinuation of antiepileptic drugs (AEDs) in seizure-free patients is an important goal because of possible long-term side effects and the social stigma burden of epilepsy. The purpose of this work was to assess seizure recurrence risk after suspension of AEDs, to evaluate predictors for recurrence, and to investigate the recovery of seizure control after relapse. In addition, the accuracy of a previously published prediction model of seizure recurrence risk was estimated.

METHODS

Seizure-free patients with epilepsy who had discontinued AEDs were retrospectively enrolled. The frequency of seizure relapses after AED withdrawal as well as prognosis after recurrence were assessed and the predictive role of baseline clinical-demographic variables was evaluated. The aforementioned prediction model was also validated and its accuracy assessed at different seizure-relapse probability levels.

RESULTS

The enrolled patients (n = 133) had been followed for a median of 3 years (range 0.8-33 years) after AED discontinuation; 60 (45%) of them relapsed. Previous febrile seizures in childhood (hazard ratio [HR] 3.927; 95% confidence interval [CI] 1.403-10.988), a seizure-free period on therapy of less than 2 years (HR 2.313; 95% CI 1.193-4.486), and persistent motor deficits (HR 4.568; 95% CI 1.412-14.772) were the clinical features associated with relapse risk in univariate analysis. Among these variables, only a seizure-free period on therapy of less than 2 years was associated with seizure recurrence in multivariate analysis (HR 2.365; 95% CI 1.178-4.7444). Pharmacological control of epilepsy was restored in 82.4% of the patients who relapsed. In this population, the aforementioned prediction model showed an unsatisfactory accuracy.

SIGNIFICANCE

A period of freedom from seizure on therapy of less than 2 years was the main predictor of seizure recurrence. The accuracy of the previously described prediction tool was low in this cohort, thus suggesting its cautious use in real-world clinical practice.

摘要

目的

在无癫痫发作的患者中停止使用抗癫痫药物(AED)是一个重要的目标,因为可能存在长期的副作用以及癫痫带来的社会耻辱负担。本研究的目的是评估停止 AED 后癫痫发作的复发风险,评估复发的预测因素,并研究复发后癫痫控制的恢复情况。此外,还评估了先前发表的癫痫复发风险预测模型的准确性。

方法

回顾性纳入已停止 AED 治疗的无癫痫发作的癫痫患者。评估 AED 停药后癫痫发作的频率以及复发后的预后,并评估基线临床-人口统计学变量的预测作用。还验证了上述预测模型,并评估了在不同癫痫复发概率水平下的准确性。

结果

纳入的患者(n=133)在停止 AED 治疗后中位随访 3 年(范围 0.8-33 年);其中 60 例(45%)复发。儿童期有热性惊厥史(风险比[HR]3.927;95%置信区间[CI]1.403-10.988)、治疗期间无癫痫发作期<2 年(HR 2.313;95% CI 1.193-4.486)和持续性运动障碍(HR 4.568;95% CI 1.412-14.772)是单因素分析中与复发风险相关的临床特征。在这些变量中,只有治疗期间无癫痫发作期<2 年与多因素分析中的癫痫复发相关(HR 2.365;95% CI 1.178-4.744)。复发的患者中 82.4%恢复了癫痫的药物控制。在该人群中,上述预测模型的准确性不理想。

意义

治疗期间无癫痫发作期<2 年是癫痫复发的主要预测因素。在本队列中,先前描述的预测工具的准确性较低,因此建议在实际临床实践中谨慎使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba30/8457060/ac6810432bf1/EPI-62-2159-g003.jpg

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