Department of Psychiatry and Psychology, Mayo Clinic Arizona, Scottsdale, AZ 85259, USA.
J Clin Exp Neuropsychol. 2011 Mar;33(3):335-43. doi: 10.1080/13803395.2010.518141. Epub 2010 Nov 10.
Long term video-EEG (electroencephalography) monitoring in an epilepsy monitoring unit (EMU) will remain the gold standard for differential diagnosis of epilepsy from psychogenic nonepileptic seizures. However, neuropsychologists are routinely part of the differential diagnosis team and utilize personality assessment measures to add supportive data for the diagnosis. The most accurate scale on the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) in terms of differential diagnosis appears to be RC1 (Somatic Complaints) with a classification rate of 68% (Locke et al., 2010). This is not as helpful as neuropsychologists would like. Our aim in the current study was to determine whether another set of MMPI-2-RF items could provide improved classification accuracy. Using a combination of modern psychometric techniques and clinical judgment, we developed two complementary scales based on a physical complaints factor (Psychogenic Nonepileptic Seizures Physical Complaints, PNES-pc) and an attitudes factor (Psychogenic Nonepileptic Seizures Attitudes, PNES-a). The combination of these scales classified 73% of the sample, an improvement over comparable single or combined MMPI-2-RF scales. Cross validation is needed to warrant use in clinical practice. Information on scoring, sensitivity, specificity, and likelihood ratios at various levels of endorsement is provided.
长期视频脑电图(EEG)监测在癫痫监测单元(EMU)中仍然是癫痫与非癫痫性精神性发作鉴别诊断的金标准。然而,神经心理学家通常是鉴别诊断团队的一部分,并利用人格评估措施来为诊断提供支持性数据。明尼苏达多相人格问卷-2 修订版(MMPI-2-RF)中最准确的用于鉴别诊断的量表似乎是 RC1(躯体抱怨),分类准确率为 68%(Locke 等人,2010 年)。这并不像神经心理学家希望的那样有帮助。我们在当前研究中的目的是确定另一组 MMPI-2-RF 项目是否可以提供更高的分类准确性。我们使用现代心理测量技术和临床判断相结合的方法,基于躯体抱怨因素(精神性非癫痫性发作躯体抱怨,PNES-pc)和态度因素(精神性非癫痫性发作态度,PNES-a)开发了两个互补量表。这些量表的组合将 73%的样本进行了分类,优于可比的单个或组合的 MMPI-2-RF 量表。需要进行交叉验证才能在临床实践中使用。提供了不同认可程度的评分、敏感性、特异性和似然比的信息。