Krauss Gregory L, Ben-Menachem Elinor, Wechsler Robert T, Patten Anna, Williams Betsy, Laurenza Antonio, Malhotra Manoj
Johns Hopkins Hospital, 1800 Orleans Street, Baltimore, MD, 21287, USA.
Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 3, 413 90, Gothenburg, Sweden.
Epilepsy Res. 2021 Aug;174:106649. doi: 10.1016/j.eplepsyres.2021.106649. Epub 2021 May 12.
Although 50 % reduction in seizure frequency is a common efficacy endpoint in clinical trials of antiepileptic drugs (AEDs), 75 % or greater reductions may be required to improve patients' health-related quality of life. Identification of clinical factors that are associated with high responder rates may help to inform clinicians on which patients may optimally benefit from treatment. We evaluated potential predictive factors for achieving major treatment responses (≥75 % reduction in seizure frequency per 28 days from study baseline) in patients with drug-resistant focal-onset seizures, with/without focal to bilateral tonic-clonic (FBTC) seizures in perampanel trials designed for regulatory approval.
Univariate analyses using logistic regression were performed using data from three double-blind, placebo-controlled Phase III studies of adjunctive perampanel (Studies 304 [NCT00699972], 305 [NCT00699582], 306 [NCT00700310]), and their open-label extension study (OLEx; Study 307 [NCT00735397]). For the double-blind studies, baseline seizure frequency, number of baseline AEDs, baseline seizure type, baseline concomitant enzyme-inducing AEDs (EIAEDs), baseline carbamazepine, lamotrigine, or valproic acid, age at diagnosis, time since diagnosis, etiology, and perampanel plasma concentration were included individually with study treatment. The same factors were included for the OLEx analysis except for plasma concentration and treatment. Variables found to be significant predictors for a major treatment response in univariate analyses were subsequently included in multivariable analyses using backwards and forwards selection.
In the double-blind studies, 175/1374 patients had a major response to placebo (n = 25) or perampanel (n = 150). The best predictors of a major treatment response in multivariable models with forwards and backwards selection were: the presence of FBTC seizures during baseline (P = 0.0002), higher perampanel plasma concentration (P < 0.0001), older age at diagnosis (P = 0.0024 and 0.0045, respectively), and lower baseline seizure frequency (P = 0.0364 and 0.0127, respectively). In the OLEx, 217/1090 patients had a major treatment response. The best predictors of a major treatment response in the final multivariable model, regardless of backwards or forwards selection, were a lower baseline seizure frequency (P = 0.0022), the absence of focal impaired awareness seizures during baseline (P = 0.0011), the presence of FBTC seizures during baseline (P = 0.0164), lower number(s) of baseline AEDs (P = 0.0002), the absence of EIAEDs during baseline (P = 0.0059), an older age at diagnosis (P = 0.0054), and absence of structural etiologies (P = 0.0138).
These analyses of placebo-controlled and long-term extension trial data identified a number of potential predictive factors for patients with focal-onset seizures achieving a major treatment response. These factors may help guide clinicians when predicting a patient's response to treatment and optimizing individual treatment regimens.
尽管癫痫发作频率降低50%是抗癫痫药物(AEDs)临床试验中常用的疗效终点,但可能需要降低75%或更多才能改善患者与健康相关的生活质量。识别与高反应率相关的临床因素可能有助于告知临床医生哪些患者可能从治疗中获得最佳益处。在为监管批准而设计的吡仑帕奈试验中,我们评估了耐药性局灶性发作患者(伴或不伴有继发全面强直阵挛发作[FBTC])实现主要治疗反应(自研究基线起每28天癫痫发作频率降低≥75%)的潜在预测因素。
使用来自三项双盲、安慰剂对照的吡仑帕奈辅助治疗III期研究(研究304 [NCT00699972]、305 [NCT00699582]、306 [NCT00700310])及其开放标签扩展研究(OLEx;研究307 [NCT00735397])的数据进行逻辑回归单变量分析。对于双盲研究,将基线癫痫发作频率、基线AEDs数量、基线癫痫发作类型、基线同时使用的酶诱导性AEDs(EIAEDs)、基线卡马西平、拉莫三嗪或丙戊酸、诊断时年龄、诊断后时间、病因以及吡仑帕奈血浆浓度分别与研究治疗纳入分析。OLEx分析纳入相同因素,但不包括血浆浓度和治疗。在单变量分析中发现对主要治疗反应有显著预测作用的变量随后纳入多变量分析,采用逐步向前和向后选择法。
在双盲研究中,175/1374例患者对安慰剂(n = 25)或吡仑帕奈(n = 150)有主要反应。在采用逐步向前和向后选择法的多变量模型中,主要治疗反应的最佳预测因素为:基线时存在FBTC发作(P = 0.0002)、吡仑帕奈血浆浓度较高(P < 0.0001)、诊断时年龄较大(分别为P = 0.0024和0.0045)以及基线癫痫发作频率较低(分别为P = 0.0364和0.0127)。在OLEx中,217/109例患者有主要治疗反应。在最终的多变量模型中,无论采用逐步向前还是向后选择法,主要治疗反应 的最佳预测因素为基线癫痫发作频率较低(P = 0.0022)、基线时无局灶性意识障碍发作(P = 0.0011)、基线时存在FBTC发作(P = 0.0164)、基线AEDs数量较少(P = 0.0002)、基线时无EIAEDs(P = 0.0059)、诊断时年龄较大(P = 0.0054)以及无结构性病因(P = 0.0138)。
这些对安慰剂对照和长期扩展试验数据的分析确定了一些局灶性发作患者实现主要治疗反应的潜在预测因素。这些因素可能有助于临床医生预测患者的治疗反应并优化个体化治疗方案。