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心因性非癫痫性发作的生物心理社会预测因素。

Biopsychosocial predictors of psychogenic non-epileptic seizures.

作者信息

Elliott John O, Charyton Christine

机构信息

Ohio Health Riverside Methodist Hospital, 3535 Olentangy River Road, Columbus, OH 43214, United States; Ohio State University, College of Social Work, 1947 Stillman Hall, Columbus, OH 43210, United States.

Department of Neurology, Ohio State University Wexner Medical Center, 395W, 12th Avenue, 7th Floor, Columbus, OH 43210, United States.

出版信息

Epilepsy Res. 2014 Nov;108(9):1543-53. doi: 10.1016/j.eplepsyres.2014.09.003. Epub 2014 Sep 16.

Abstract

BACKGROUND

Previous studies have identified numerous biological, psychological and social characteristics of persons with psychogenic non-epileptic seizures (PNES) however the strength of many of these factors have not been evaluated to determine which are predictive of the diagnosis compared to those that may only be stereotypes with limited clinical utility.

METHOD

A retrospective chart review of persons admitted to our epilepsy monitoring unit over a 6-year period was conducted to examine predictors of a video-EEG confirmed PNES diagnosis.

RESULTS

A total of 689 patients had events leading to a diagnosis, 47% (n=324) with PNES only, 12% (n=84) with PNES & Epilepsy and 41% (n=281) with Epilepsy only. Five biological predictors of a PNES only diagnosis were found; number of years with events (OR=1.10), history of head injury (OR=1.91), asthma (OR=2.94), gastro-esophageal reflux disease (OR=1.72) and pain (OR=2.25). One psychological predictor; anxiety (OR=1.72) and two social predictors; being married (OR=1.81) and history of physical/sexual abuse (OR=3.35). Two significant biological predictors of a PNES & Epilepsy diagnosis were found; migraine (OR=1.83) and gastro-esophageal reflux disease (OR=2.17).

CONCLUSIONS

Our findings support the importance of considering the biopsychosocial model for the diagnosis and treatment of PNES or PNES with concomitant epilepsy.

摘要

背景

以往研究已确定了心因性非癫痫性发作(PNES)患者的众多生物学、心理学和社会特征,但其中许多因素的强度尚未得到评估,以确定哪些因素可预测诊断,哪些因素可能只是临床效用有限的刻板印象。

方法

对我院癫痫监测单元6年内收治的患者进行回顾性病历审查,以检查视频脑电图确诊的PNES诊断的预测因素。

结果

共有689例患者发生了导致诊断的事件,其中仅PNES患者占47%(n = 324),PNES合并癫痫患者占12%(n = 84),仅癫痫患者占41%(n = 281)。发现了仅诊断为PNES的五个生物学预测因素;发作年限(OR = 1.10)、头部受伤史(OR = 1.91)、哮喘(OR = 2.94)、胃食管反流病(OR = 1.72)和疼痛(OR = 2.25)。一个心理学预测因素;焦虑(OR = 1.72)和两个社会预测因素;已婚(OR = 1.81)和身体/性虐待史(OR = 3.35)。发现了PNES合并癫痫诊断的两个重要生物学预测因素;偏头痛(OR = 1.83)和胃食管反流病(OR = 2.17)。

结论

我们的研究结果支持在诊断和治疗PNES或合并癫痫的PNES时考虑生物心理社会模型的重要性。

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