Syed Tanvir U, Arozullah Ahsan M, Suciu Gabriel P, Toub Julia, Kim Hyunmi, Dougherty Michelle L, Wehner Tim, Stojic Andrey, Syed Ishtiaq, Alexopoulos Andreas V
Epilepsy Center, The Neurological Institute, University Hospitals Case Medical Center, Cleveland, OH 44106, USA.
Epilepsia. 2008 May;49(5):898-904. doi: 10.1111/j.1528-1167.2007.01456.x. Epub 2007 Dec 6.
Diagnostic delay in distinguishing psychogenic nonepileptic seizures (PNES) from epileptic seizures may result in unnecessary therapeutic interventions and higher health care costs. Previous studies demonstrated that video-recorded eye closure is associated with PNES. The present study prospectively assessed whether observer or self-report of eye closure could predict PNES, prior to video-EEG monitoring.
Adults referred to an epilepsy monitoring unit (EMU) were prospectively enrolled into the study. At baseline, self-report of eye closure was assessed by questionnaire, and observer report was obtained by interview. Physicians viewed video clips independent of EEG tracings and determined the duration of eye closure during PNES and epileptic seizures. We evaluated whether video-recorded eye closure identified an episode as PNES using random effects models that accounted for episode clustering by subject. The utility of observer and self-report of eye closure in predicting a diagnosis of PNES was tested using logistic regression.
Of 132 enrolled subjects, 112 met study criteria during EMU stay for either PNES (n = 43, 38.4%) or epilepsy (n = 84, 75.0%). Fifteen of the 43 PNES subjects (34.9%) had coexisting epilepsy. Self and observer reports of eye closure were neither sensitive nor specific for the diagnosis of PNES. Self-report of eye closure more accurately predicted actual video-recorded eye closure than observer report. Video-recorded eye closure was 92% specific, but only 64% sensitive for PNES identification.
Neither observer nor self-report of eye closure, prior to VEEG monitoring, predicts PNES. Video-recorded eye closure may not be as sensitive an indicator of PNES as previously reported.
在区分精神性非癫痫性发作(PNES)与癫痫性发作时出现诊断延迟可能会导致不必要的治疗干预和更高的医疗成本。既往研究表明,视频记录的闭眼动作与PNES相关。本研究前瞻性评估了在视频脑电图监测之前,观察者报告或自我报告的闭眼动作能否预测PNES。
前瞻性纳入转诊至癫痫监测单元(EMU)的成人患者。在基线时,通过问卷评估闭眼动作的自我报告,并通过访谈获取观察者报告。医生独立于脑电图记录查看视频片段,并确定PNES和癫痫性发作期间的闭眼持续时间。我们使用考虑了受试者发作聚类的随机效应模型评估视频记录的闭眼动作是否能将某一发作识别为PNES。使用逻辑回归检验观察者报告和闭眼动作自我报告在预测PNES诊断中的效用。
在132名纳入研究的受试者中,112名在EMU住院期间符合研究标准,诊断为PNES(n = 43,38.4%)或癫痫(n = 84,75.0%)。43名PNES受试者中有15名(34.9%)同时患有癫痫。闭眼动作的自我报告和观察者报告对PNES诊断既不敏感也无特异性。与观察者报告相比,闭眼动作的自我报告能更准确地预测实际视频记录的闭眼动作。视频记录的闭眼动作对PNES识别的特异性为92%,但敏感性仅为64%。
在视频脑电图监测之前,观察者报告和闭眼动作的自我报告均不能预测PNES。视频记录的闭眼动作可能不像先前报道的那样是PNES的敏感指标。