Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston (Baslet); Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, Calif. (Bajestan); Department of Neurology, Inselspital University Hospital and Clinical Neuroscience Bern Network, University of Bern, Bern, Switzerland (Aybek); Department of Psychiatry, University of Manitoba, Winnipeg, MB, Canada (Modirrousta); South Tees Hospitals National Health Service Foundation Trust, Middlesbrough, United Kingdom (Price); Department of Neuropsychiatry, University of Birmingham, Birmingham, United Kingdom (Cavanna); Departments of Neurology and Psychiatry, Functional Neurology Research Group, Massachusetts General Hospital, Harvard Medical School, Boston (Perez); California Pacific Medical Center, San Francisco (Lazarow); Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston (Raynor); Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); Department of Psychiatry, Montreal Neurological Institute, McGill University, Montreal (Ducharme); Departments of Psychiatry and Neurology, Rhode Island Hospital, Brown University, Providence, R.I. (LaFrance).
J Neuropsychiatry Clin Neurosci. 2021 Winter;33(1):27-42. doi: 10.1176/appi.neuropsych.19120354. Epub 2020 Aug 11.
The American Neuropsychiatric Association's Committee on Research assigned the task of defining the most helpful clinical factors and tests in establishing the diagnosis of psychogenic nonepileptic seizures (PNES) during a neuropsychiatric assessment. A systematic review of the literature was conducted using three search engines and specified search terms for PNES and the predetermined clinical factors and diagnostic tests, followed by a selection process with specific criteria. Data extraction results from selected articles are presented for clinical factors (semiology, psychiatric comorbidities, medical comorbidities, psychological traits) and diagnostic tests (EEG, psychometric and neuropsychological measures, prolactin level, clinical neuroimaging, autonomic testing). Semiology with video EEG (vEEG) remains the most valuable tool to determine the diagnosis of PNES. With the exception of semiology, very few studies revealed the predictive value of a clinical factor for PNES, and such findings were isolated and not replicated in most cases. Induction techniques, especially when coupled with vEEG, can lead to a captured event, which then confirms the diagnosis. In the absence of a captured event, postevent prolactin level and personality assessment can support the diagnosis but need to be carefully contextualized with other clinical factors. A comprehensive clinical assessment in patients with suspected PNES can identify several clinical factors and may include a number of tests that can support the diagnosis of PNES. This is especially relevant when the gold standard of a captured event with typical semiology on vEEG cannot be obtained.
美国神经精神协会研究委员会承担了在神经精神评估中确定有助于诊断心因性非癫痫性发作(PNES)的最有用临床因素和检测方法的任务。通过使用三个搜索引擎并针对 PNES 以及预先确定的临床因素和诊断性检测方法指定搜索词,对文献进行了系统回顾,然后根据具体标准进行了选择过程。从选定文章中提取的数据结果展示了临床因素(症状学、精神共病、医学共病、心理特征)和诊断性检测方法(EEG、精神和神经心理学测量、催乳素水平、临床神经影像学、自主神经测试)的结果。视频脑电图(vEEG)的症状学仍然是确定 PNES 诊断的最有价值工具。除了症状学之外,很少有研究揭示了临床因素对 PNES 的预测价值,而且这些发现是孤立的,在大多数情况下无法得到复制。诱发技术,特别是与 vEEG 联合使用时,可以导致捕获事件,从而确认诊断。在没有捕获事件的情况下,事后催乳素水平和人格评估可以支持诊断,但需要与其他临床因素仔细关联。在疑似 PNES 患者中进行全面的临床评估可以确定几个临床因素,并且可能包括一些可以支持 PNES 诊断的检测方法。当无法获得具有 vEEG 典型症状学的捕获事件这一金标准时,这一点尤其重要。