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拉考酰胺作为脑肿瘤相关癫痫的附加治疗:疗效和耐受性的初步报告。

Lacosamide as add-on in brain tumor-related epilepsy: preliminary report on efficacy and tolerability.

机构信息

Center for Tumor-related Epilepsy, Neurology Unit, Department of Neuroscience and Cervical-Facial Pathology, National Institute for Cancer Regina Elena, Via Elio Chianesi 53, 00144 Rome, Italy.

出版信息

J Neurol. 2011 Nov;258(11):2100-4. doi: 10.1007/s00415-011-6132-8. Epub 2011 Jun 16.

Abstract

Lacosamide (LCM) is an antiepileptic drug (AED) that has demonstrated a good efficacy in controlling seizures as an add-on in adult epilepsy. To date, there have been no studies on LCM in patients with brain tumor-related epilepsy (BTRE). To evaluate efficacy and tolerability of LCM as an add-on in BTRE, we followed 14 patients suffering from BTRE who had already been treated with other AEDs and who had not experienced adequate seizure control. Eleven patients underwent chemotherapy while being treated with LCM. Mean duration of follow up was 5.4 months (min < 1 max 10 months). Mean seizure number in the last month prior to the introduction of LCM had been 15.4. At last follow-up, the mean seizure number was reduced to 1.9/month. Lacosamide mean dosage was of 332.1 mg/day (min 100 max 400 mg/day). Responder rate was 78.6%. One patient discontinued LCM because of side-effects. There were no other reported side-effects. Preliminary data on the use of LCM in add-on in patients with BTRE indicate that this drug may represent a valid alternative as an add-on in this particular patient population. However, larger samples are necessary in order to draw definitive conclusions.

摘要

拉考沙胺(LCM)是一种抗癫痫药物(AED),作为成人癫痫的附加治疗,已被证明在控制癫痫发作方面具有良好的疗效。迄今为止,尚未有关于脑肿瘤相关癫痫(BTRE)患者使用 LCM 的研究。为了评估 LCM 作为 BTRE 附加治疗的疗效和耐受性,我们随访了 14 名已接受其他 AED 治疗且未获得充分癫痫控制的 BTRE 患者。11 名患者在接受 LCM 治疗的同时接受化疗。平均随访时间为 5.4 个月(最小 < 1 最大 10 个月)。在开始使用 LCM 前的最后一个月,平均癫痫发作次数为 15.4 次。在最后一次随访时,平均癫痫发作次数减少至 1.9/月。LCM 的平均剂量为 332.1 mg/天(最小 100 最大 400 mg/天)。应答率为 78.6%。1 名患者因副作用而停用 LCM。未报告其他不良反应。在 BTRE 患者中使用 LCM 作为附加治疗的初步数据表明,该药可能是该特定患者人群的附加治疗的有效选择。然而,为了得出明确的结论,还需要更大的样本量。

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