Department of Biostatistics, University of Liverpool, , Liverpool, UK.
J Neurol Neurosurg Psychiatry. 2014 Jun;85(6):603-10. doi: 10.1136/jnnp-2013-306040. Epub 2013 Nov 29.
To develop prognostic models for time to 12-month remission and time to treatment failure after initiating antiepileptic drug monotherapy for generalised and unclassified epilepsy.
We analysed data from the Standard and New Antiepileptic Drug (arm B) study, a randomised trial that compared initiating treatment with lamotrigine, topiramate and valproate in patients diagnosed with generalised or unclassified epilepsy. Multivariable regression modelling was used to investigate how clinical factors affect the probability of achieving 12-month remission and treatment failure.
Significant factors in the multivariable model for time to 12-month remission were having a relative with epilepsy, neurological insult, total number of tonic-clonic seizures before randomisation, seizure type and treatment. Significant factors in the multivariable model for time to treatment failure were treatment history (antiepileptic drug treatment prior to randomisation), EEG result, seizure type and treatment.
The models described within this paper can be used to identify patients most likely to achieve 12-month remission and most likely to have treatment failure, aiding individual patient risk stratification and the design and analysis of future epilepsy trials.
为全面性和未分类癫痫患者启动抗癫痫药物单药治疗后,预测达到 12 个月缓解和治疗失败的时间,建立预测模型。
我们分析了标准和新型抗癫痫药物(arm B)研究的数据,这是一项随机试验,比较了在诊断为全面性或未分类癫痫的患者中,起始使用拉莫三嗪、托吡酯和丙戊酸钠治疗。多变量回归模型用于研究临床因素如何影响达到 12 个月缓解和治疗失败的概率。
多变量模型中,达到 12 个月缓解的时间的显著因素包括有癫痫亲属、神经损伤、随机分组前强直-阵挛性发作的总数、发作类型和治疗。多变量模型中,达到治疗失败的时间的显著因素包括治疗史(随机分组前的抗癫痫药物治疗)、脑电图结果、发作类型和治疗。
本文描述的模型可用于识别最有可能达到 12 个月缓解和最有可能发生治疗失败的患者,辅助个体患者的风险分层以及未来癫痫试验的设计和分析。