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2
Decision Making on Telemedicine for Patients With Epilepsy During the Coronavirus Disease 2019 (COVID-19) Crisis.2019年冠状病毒病(COVID-19)危机期间癫痫患者远程医疗的决策制定
Front Neurol. 2020 Jun 26;11:722. doi: 10.3389/fneur.2020.00722. eCollection 2020.
3
Mortality in patients with psychogenic nonepileptic seizures.心因性非癫痫性发作患者的死亡率。
Neurology. 2020 Aug 11;95(6):e643-e652. doi: 10.1212/WNL.0000000000009855. Epub 2020 Jul 20.
4
Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures.评估门诊智能手机视频对癫痫发作诊断的预测价值。
JAMA Neurol. 2020 May 1;77(5):593-600. doi: 10.1001/jamaneurol.2019.4785.
5
Reliability of reported peri-ictal behavior to identify psychogenic nonepileptic seizures.报告的发作期行为对识别心因性非癫痫发作的可靠性。
Seizure. 2019 Apr;67:45-51. doi: 10.1016/j.seizure.2019.02.021. Epub 2019 Mar 5.
6
A systematic study of stereotypy in epileptic seizures versus psychogenic seizure-like events.癫痫发作与心因性癫痫样发作中刻板行为的系统研究。
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7
Can home videos made on smartphones complement video-EEG in diagnosing psychogenic nonepileptic seizures?智能手机拍摄的家庭视频能否补充视频脑电图在诊断心因性非癫痫性发作中的作用?
Seizure. 2018 Nov;62:95-98. doi: 10.1016/j.seizure.2018.10.003. Epub 2018 Oct 3.
8
Comparison of postictal semiology and behavior in psychogenic nonepileptic and epileptic seizures.心因性非癫痫性发作与癫痫性发作的发作后症状学及行为比较。
Epilepsy Behav. 2018 Nov;88:123-129. doi: 10.1016/j.yebeh.2018.08.020. Epub 2018 Sep 27.
9
Epileptic vs psychogenic nonepileptic seizures: a video-based survey.癫痫性发作与精神性非癫痫性发作:一项基于视频的调查。
Epilepsy Behav. 2017 Aug;73:42-45. doi: 10.1016/j.yebeh.2017.04.020. Epub 2017 Jun 10.
10
Stereotypy of psychogenic nonepileptic seizures.心因性非癫痫性发作的刻板行为
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癫痫监测单元中心理性非癲痫性发作的预测性半征。

Predictive semiology of psychogenic non-epileptic seizures in an epilepsy monitoring unit.

机构信息

Department of Clinical Neurosciences, St. Vincent's Hospital Melbourne, Melbourne, VIC, Australia.

Department of Neurology, Monash Medical Centre, Melbourne, VIC, Australia.

出版信息

J Neurol. 2022 Apr;269(4):2172-2178. doi: 10.1007/s00415-021-10805-1. Epub 2021 Sep 22.

DOI:10.1007/s00415-021-10805-1
PMID:34550469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8456070/
Abstract

INTRODUCTION

The diagnosis of psychogenic nonepileptic seizures (PNES) is a common clinical dilemma. We sought to assess the diagnostic value of four ictal signs commonly used in differentiating PNES from epileptic seizures (ES).

METHODS

We retrospectively reviewed consecutive adult video-electroencephalogram (VEM) studies conducted at a single tertiary epilepsy center between May 2009 and August 2016. Each event was assessed by a blinded rater for the presence of four signs: fluctuating course, head shaking, hip thrusting, and back arching. The final diagnosis of PNES or ES was established for each event based on clinical and VEM characteristics. All ES were pooled regardless of focal or generalized onset. We analyzed the odds ratio of each sign in PNES in comparison to ES with adjustment for repeated measures using logistic regression. Additionally, we calculated the sensitivity, specificity, predictive values, and likelihood ratios of each sign to diagnose PNES.

RESULTS

A total of 742 events from 140 VEM studies were assessed. Fluctuating course (odds ratio (OR) 37.37, 95% confidence interval (CI) 13.56-102.96, P < 0.0001), head shaking (OR 2.95, 95% CI 1.26-6.79, P = 0.012), and hip thrusting (OR 4.28, 95% CI 1.21-15.18, P = 0.02) were each significantly predictive of PNES. Fluctuating course had the highest sensitivity (76.16%). Back arching (OR 1.06, 95% CI 0.35-3.20, P = 0.92) was not significantly associated with PNES.

CONCLUSION

Fluctuating course, head shaking, and hip thrusting are semiological features significantly more common in PNES than ES. Fluctuating course is the most reliable sign. Back arching does not appear to differentiate PNES from ES.

摘要

介绍

心因性非癫痫性发作(PNES)的诊断是临床常见的难题。我们旨在评估四种常用于鉴别 PNES 与癫痫发作(ES)的发作期体征的诊断价值。

方法

我们回顾性分析了 2009 年 5 月至 2016 年 8 月在单中心三级癫痫中心进行的连续成人视频脑电图(VEM)研究。由盲法评分者评估每个事件是否存在以下 4 种体征:波动病程、摇头、髋关节前冲和背部弓起。根据临床和 VEM 特征,为每个事件确定 PNES 或 ES 的最终诊断。所有 ES 均被汇总,无论局灶性或全面性发作。我们使用逻辑回归分析,在重复测量的情况下,对每个体征在 PNES 中的比值比进行调整,以分析其比值比。此外,我们计算了每个体征诊断 PNES 的敏感性、特异性、预测值和似然比。

结果

共评估了 140 项 VEM 研究的 742 项事件。波动病程(比值比(OR)37.37,95%置信区间(CI)13.56-102.96,P<0.0001)、摇头(OR 2.95,95%CI 1.26-6.79,P=0.012)和髋关节前冲(OR 4.28,95%CI 1.21-15.18,P=0.02)均与 PNES 显著相关。波动病程的敏感性最高(76.16%)。背部弓起(OR 1.06,95%CI 0.35-3.20,P=0.92)与 PNES 无显著相关性。

结论

波动病程、摇头和髋关节前冲是 PNES 比 ES 更常见的半定性特征。波动病程是最可靠的体征。背部弓起似乎不能区分 PNES 和 ES。