Nemade Dipali, Shivkumar Vikram, Ferguson Paul, Singh Jaysingh, Shah Sona
Neurology, Marshall University School of Medicine, Huntington, USA.
Neurology, Ohio State University, Huntington, USA.
Cureus. 2020 Jan 24;12(1):e6767. doi: 10.7759/cureus.6767.
Background The main focus of this study is to aid early identification of psychogenic non-epileptic seizure (PNES) patients by identifying physical and psychosocial characteristics to reduce the health care burden, to reduce the unnecessary use of anti-epileptic medications and their side effects, and maximizing cost-effective use of video electroencephalography (VEEG). Methods We analyzed PNES subject data from VEEG monitoring performed at the Epilepsy Center at the Marshall University School of Medicine. We reviewed more than 360 episodes in 54 subjects older than 18 years (mean age ± standard deviation (SD): 48 ± 12.97 years; 83% female). Results We found that most of our PNES patients were older than 45 years of age (66.7%), females (83.3%); obese (66.6%) or overweight (18.5%); either single (33.3%), separated (7.4%), divorced (22.2%), or widowed (14.8%); of low education, unemployed (either received government assistance (83.3%) or disability benefits (57.4%)) with associated physical illness (85.2%) and psychiatric illness (96.3%). Conclusion Our study adds to the current knowledge of the sociodemographic and sociocultural variability of PNES. It might enable early diagnosis and management of patients with PNES.
背景 本研究的主要重点是通过识别身体和心理社会特征来帮助早期识别精神性非癫痫性发作（PNES）患者，以减轻医疗负担，减少抗癫痫药物的不必要使用及其副作用，并最大限度地提高视频脑电图（VEEG）的成本效益。方法 我们分析了马歇尔大学医学院癫痫中心进行的VEEG监测的PNES受试者数据。我们回顾了54名18岁以上受试者（平均年龄±标准差（SD）：48±12.97岁；83%为女性）的360多次发作。结果 我们发现，大多数PNES患者年龄超过45岁（66.7%），为女性（83.3%）；肥胖（66.6%）或超重（18.5%）；单身（33.3%）、分居（7.4%）、离婚（22.2%）或丧偶（14.8%）；受教育程度低，失业（要么接受政府援助（83.3%）要么领取残疾福利（57.4%）），伴有身体疾病（85.2%）和精神疾病（96.3%）。结论 我们的研究增加了目前关于PNES社会人口统计学和社会文化变异性的知识。它可能有助于PNES患者的早期诊断和管理。
