Alendia Hartshorn, Yasser Shahrour, A. Andrew, K. Bujarski
{"title":"Determinants of medication withdrawal strategy in the epilepsy monitoring unit","authors":"Alendia Hartshorn, Yasser Shahrour, A. Andrew, K. Bujarski","doi":"10.21307/JEPIL-2018-006","DOIUrl":null,"url":null,"abstract":"SUMMARY Background. Video-EEG (VEEG) monitoring is a vital diagnostic tool, but there are no guidelines for withdrawal of antiepileptic drugs (AEDs). Aim. The main objectives of this study were to understand the different withdrawal strategies used in the EMU, how strategies are chosen, and the efficacy and safety of different withdrawal strategies in producing seizures. Materials and methods. We retrospectively analyzed 95 consecutive patients and measured time to first seizure, incidence of status epilepticus, and need for rescue medications. Results. We found that AED withdrawal strategies can be divided into four categories based on level of aggressiveness. The main factors which impacted choice of strategy was number of AEDs on admission and frequency of pre-admission seizures. Abrupt cessation of medications was correlated with longer time to first seizure compared to other methods (hazard ratio (HR) 0.36, 95% confidence interval (CI) 0.20–0.65, p = 0.0007). Patients remaining on medications had shorter time to first seizure (HR 2.98, 95% CI 1.22–7.24, p = 0.016). Withdrawal technique was not correlated with need for rescue medications (OR 5.0, 95% CI 0.77–43, p = 0.20). No patients had status epilepticus in the study. Conclusions. Pre-admission seizure frequency and number of AEDs are the main factors which drive choice of withdrawal strategy on the epilepsy monitoring unit (EMU). Counterintuitively, least aggressive strategy is associated with highest risk of seizures. Results of this analysis suggest that disease factors, not choice of withdrawal strategy, determine seizure frequency on the EMU.","PeriodicalId":15683,"journal":{"name":"Journal of Epileptology","volume":"1 1","pages":"15 - 19"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Epileptology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21307/JEPIL-2018-006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
SUMMARY Background. Video-EEG (VEEG) monitoring is a vital diagnostic tool, but there are no guidelines for withdrawal of antiepileptic drugs (AEDs). Aim. The main objectives of this study were to understand the different withdrawal strategies used in the EMU, how strategies are chosen, and the efficacy and safety of different withdrawal strategies in producing seizures. Materials and methods. We retrospectively analyzed 95 consecutive patients and measured time to first seizure, incidence of status epilepticus, and need for rescue medications. Results. We found that AED withdrawal strategies can be divided into four categories based on level of aggressiveness. The main factors which impacted choice of strategy was number of AEDs on admission and frequency of pre-admission seizures. Abrupt cessation of medications was correlated with longer time to first seizure compared to other methods (hazard ratio (HR) 0.36, 95% confidence interval (CI) 0.20–0.65, p = 0.0007). Patients remaining on medications had shorter time to first seizure (HR 2.98, 95% CI 1.22–7.24, p = 0.016). Withdrawal technique was not correlated with need for rescue medications (OR 5.0, 95% CI 0.77–43, p = 0.20). No patients had status epilepticus in the study. Conclusions. Pre-admission seizure frequency and number of AEDs are the main factors which drive choice of withdrawal strategy on the epilepsy monitoring unit (EMU). Counterintuitively, least aggressive strategy is associated with highest risk of seizures. Results of this analysis suggest that disease factors, not choice of withdrawal strategy, determine seizure frequency on the EMU.
摘要背景。视频脑电图(VEEG)监测是一种重要的诊断工具,但目前尚无抗癫痫药物(aed)的停药指南。的目标。本研究的主要目的是了解EMU中使用的不同戒断策略,如何选择策略,以及不同戒断策略在产生癫痫发作中的有效性和安全性。材料和方法。我们回顾性分析了95例连续患者,并测量了首次癫痫发作的时间、癫痫持续状态的发生率和对抢救药物的需求。结果。我们发现,AED退出策略可以根据攻击性程度分为四类。影响策略选择的主要因素是入院时AEDs的数量和入院前癫痫发作的频率。与其他方法相比,突然停药与首次发作时间较长相关(风险比(HR) 0.36, 95%可信区间(CI) 0.20-0.65, p = 0.0007)。继续服用药物的患者首次发作的时间较短(HR 2.98, 95% CI 1.22-7.24, p = 0.016)。戒断技术与抢救用药需求无关(OR 5.0, 95% CI 0.77-43, p = 0.20)。研究中没有患者出现癫痫持续状态。结论。入院前癫痫发作频率和抗癫痫药数量是影响癫痫监测单元(EMU)停药策略选择的主要因素。与直觉相反,最不激进的策略与癫痫发作的风险最高有关。分析结果表明,疾病因素,而不是停药策略的选择,决定了EMU上癫痫发作的频率。