视频脑电图监测以指导抗癫痫药物的停药。

Laurien K L Dhaenens-Meyer, Elisabeth Schriewer, Yvonne G Weber, Stefan Wolking
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引用次数: 1

摘要

背景:对于长期无癫痫发作的癫痫患者,应考虑停用抗癫痫药物(ASM)。临床医生还应在没有增加复发风险的一次性癫痫患者和疑似非癫痫事件的患者中进行ASM停药。然而,ASM戒断与癫痫复发的风险相关。在癫痫监测单元(EMU)中监测ASM的戒断有助于更好地评估癫痫复发的风险。在这里,我们研究了EMU引导ASM退出的实践,评估其适应症,并旨在确定成功退出的积极和消极预测因素。方法:我们筛选了2019年11月1日至2021年10月31日期间入住EMU的所有患者的医疗记录,并纳入了以永久性ASM退出为目的而入住的至少18年的患者。我们定义了四组戒断适应症:(1)长期癫痫发作自由度;(2) 疑似非癫痫事件;(3) 癫痫发作史,但不符合癫痫诊断标准;以及(4)癫痫手术后的癫痫发作自由度。根据以下标准定义成功停药:VEM期间没有记录(亚)临床癫痫活动(第1、2和3组),患者不符合国际癫痫防治联盟(ILAE)对癫痫的定义(第2和第3组)[14],患者在未进行ASM治疗的情况下出院(所有组)。我们还评估了Lamberink等人(LPM)对第1组和第3组癫痫复发风险的预测模型。结果:55/651(8.6%)患者符合纳入标准。退出迹象分布如下:;第1组:2/55(3.6%);第2组:44/55(80%);第3组:9/55(16.4%);第4组:0/55。总的来说,ASM退出成功率为90.9%。LPM对2年50%复发风险阈值的敏感性为75%,特异性为33.3%;5年复发风险分别为12.5%和33.3%,表明该模型不适用于一次性癫痫发作或急性症状性癫痫发作患者的风险评估,这些患者构成了大多数评估患者。结论:我们的研究表明,EMU引导的ASM退出可能是支持临床决策和提高患者安全性的有用工具。前瞻性随机试验应在未来进一步评估这种方法。
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Video-EEG-monitoring to guide antiseizure medication withdrawal.

Background: Discontinuing anti-seizure medication (ASM) should be considered in persons with epilepsy with long-term seizure freedom. Clinicians should also pursue ASM withdrawal in persons with one-time seizures without increased recurrence risk and those with suspected non-epileptic events. However, ASM withdrawal is associated with the risk of recurring seizures. Monitored ASM withdrawal in an epilepsy monitoring unit (EMU) could help better evaluate the risk of seizure recurrence. Here, we investigate the practice of EMU-guided ASM withdrawal, assess its indications, and aim to determine positive and negative predictors for successful withdrawal.

Methods: We screened the medical records of all patients admitted to our EMU between November 1, 2019, and October 31, 2021, and included patients of at least 18 years admitted with the aim of permanent ASM withdrawal. We defined four groups of withdrawal indications: (1) long-term seizure freedom; (2) suspected non-epileptic events; (3) history of epileptic seizures but not fulfilling diagnostic criteria of epilepsy; and (4) seizure-freedom after epilepsy surgery. Successful withdrawal was defined according to the following criteria: no recoding of (sub)clinical seizure activity during VEM (groups 1, 2, and 3), patients did not meet the International League Against Epilepsy (ILAE) definition of epilepsy (groups 2 and 3) [14], and patients were discharged without ongoing ASM treatment (all groups). We also evaluated the prediction model by Lamberink et al. (LPM) for the risk of seizure recurrence in groups 1 and 3.

Results: 55/651 (8.6%) patients fulfilled the inclusion criteria. Withdrawal indications were distributed as follows; group 1: 2/55 (3.6%); group 2: 44/55 (80%); group 3: 9/55 (16,4%); group 4: 0/55. Overall, ASM withdrawal was successful in 90.9%. The sensitivity of the LPM for a 2-year 50% relapse risk threshold was 75%, the specificity 33.3%; for a 5-year relapse risk respectively 12.5% and 33.3%, suggesting that the model is not suitable for risk assessment in patients with one-time seizures or acute-symptomatic seizures, who constituted most of the evaluated patients.

Conclusions: Our study suggests that EMU-guided ASM withdrawal could be a helpful tool to support clinical decision-making and improve patient safety. Prospective, randomized trials should further evaluate this method in the future.

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