Giussani Giorgia, Erba Giuseppe, Bianchi Elisa, Beghi Ettore
Laboratory of Neurological Disorders, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
Department of Neurology, University of Rochester, Rochester, NY, USA.
Seizure. 2020 Jul;79:30-43. doi: 10.1016/j.seizure.2020.04.007. Epub 2020 Apr 26.
We searched Medline from 1946 to 2019 for reports exploring differences between PNES and other comparable paroxysmal events using clinical instruments, few of which focused on the differential diagnosis using broad-based questionnaires covering multiple aspects of this condition. The majority investigated single items to highlight specific differences, either qualitative or quantitative, between groups and to elucidate some of the pathogenetic mechanisms of PNES. We selected all variables that proved to be useful for differentiating PNES from other types of paroxysmal events and classified them by category, by instrument utilized and method of investigation. This body of data will constitute the basis for assembling a new set of evidence-based questionnaires for patients and eyewitnesses to facilitate the differential diagnosis of these disorders, especially in resource-poor clinical settings. This will require a skillful translation of the content of each selected variable into clear and intuitive questions, appropriate for lay responders. Predictive variables found by more than one investigator, especially if using different approaches, have greater diagnostic weight and should be prominent in future questionnaires. However, even variables so far found to be predictive by one investigator will deserve consideration. Once the preliminary text of the questionnaires is consolidated, the instrument will need extensive testing and validation in large prospective studies before becoming available for clinical use in its definitive format.
我们检索了1946年至2019年的医学文献数据库(Medline),以查找使用临床工具探索精神性非癫痫性发作(PNES)与其他类似发作性事件之间差异的报告,其中很少有研究使用涵盖该病症多个方面的广泛问卷进行鉴别诊断。大多数研究调查单个项目,以突出组间定性或定量的特定差异,并阐明PNES的一些发病机制。我们选择了所有被证明有助于区分PNES与其他类型发作性事件的变量,并按类别、所使用的工具和调查方法进行分类。这组数据将构成编制一套新的基于证据的患者和目击者问卷的基础,以促进这些疾病的鉴别诊断,特别是在资源匮乏的临床环境中。这需要将每个选定变量的内容巧妙地转化为清晰直观的问题,适合外行人回答。多名研究者发现的预测变量,特别是如果采用不同方法发现的,具有更大的诊断权重,应在未来的问卷中突出显示。然而,即使是目前仅由一名研究者发现具有预测性的变量也值得考虑。一旦问卷的初稿确定下来,在以最终形式供临床使用之前,该工具需要在大型前瞻性研究中进行广泛测试和验证。