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精神性非癫痫性发作的评定量表:量表编制与计量特性测试。

Rating scale for psychogenic nonepileptic seizures: scale development and clinimetric testing.

机构信息

Institute of Neurology, Magna Græcia University, Catanzaro, Italy.

出版信息

Epilepsy Behav. 2011 Jun;21(2):128-31. doi: 10.1016/j.yebeh.2011.03.025. Epub 2011 May 4.

Abstract

Our aim was to develop a clinimetric scale evaluating motor phenomena, associated features, and severity of psychogenic nonepileptic seizures (PNES). Sixty video/EEG-recorded PNES induced by suggestion maneuvers were evaluated. We examined the relationship between results from this scale and results from the Clinical Global Impression (CGI) scale to validate this technique. Interrater reliabilities of the PNES scale for three raters were analyzed using the AC1 statistic, Kendall's coefficient of concordance (KCC), and intraclass correlation coefficients (ICCs). The relationship between the CGI and PNES scales was evaluated with Spearman correlations. The AC1 statistic demonstrated good interrater reliability for each phenomenon analyzed (tremor/oscillation, tonic; clonic/jerking, hypermotor/agitation, atonic/akinetic, automatisms, associated features). KCC and the ICC showed moderate interrater agreement for phenomenology, associated phenomena, and total PNES scores. Spearman's correlation of mean CGI score with mean total PNES score was 0.69 (P<0.001). The scale described here accurately evaluates the phenomenology of PNES and could be used to assess and compare subgroups of patients with PNES.

摘要

我们的目的是开发一种计量评分量表,用于评估心因性非癫痫性发作(PNES)的运动现象、相关特征和严重程度。对 60 例通过暗示操作诱发的视频/EEG 记录的 PNES 进行了评估。我们研究了该量表的结果与临床总体印象量表(CGI)结果之间的关系,以验证该技术。采用 AC1 统计、Kendall 一致性系数(KCC)和组内相关系数(ICC)分析了三位评分者的 PNES 量表的组内信度。使用 Spearman 相关评估 CGI 和 PNES 量表之间的关系。AC1 统计表明,对于分析的每种现象(震颤/摆动、强直;阵挛/抽搐、多动/兴奋、弛缓/无动、自动症、相关特征),评分者之间具有良好的信度。KCC 和 ICC 对现象学、相关现象和 PNES 总分的评分者间一致性为中等。平均 CGI 评分与平均总 PNES 评分之间的 Spearman 相关系数为 0.69(P<0.001)。这里描述的量表准确地评估了 PNES 的现象学,可以用于评估和比较 PNES 患者的亚组。

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