作者@article {shegelmanp1.5 - 004 ={阿比盖尔Shegelman Mackenzie Cervenka和谭雅麦当劳博比巴伦},title ={精神生酮饮食疗法对成年人的影响慢性癫痫(p1.5 - 004)},体积={92}={15}补充数量,elocation-id = {p1.5 - 004} ={2019},出版商= {Wolters Kluwer健康,公司代表美国神经病学学会},文摘={目的:调查成年人开始,目前生酮饮食疗法(KDT)慢性癫痫和确定对抑郁和焦虑有有益的影响。首页背景:生酮饮食疗法是nonpharmacologic证明是有效的治疗儿童和成人难治性癫痫。是知之甚少的影响KDT对成人癫痫患者的情绪。估计37 \ %的癫痫患者有精神障碍。尽管KDTs需要特定的饮食限制,低碳水化合物、高脂肪饮食可以改善患者的负面影响或没有现有的共病精神疾病。设计/方法:成人已经为3个月以上,KDT回顾性调查管理评估和在KDT之前他们的情绪。病人的饮食na{\ \我}已经完成了预期pre-diet调查以及一个或多个饮食调查后3个月或更多的饮食。KDT反应被定义为体验> = 50 \ %发作减少。结果:33个成年人KDT完成了回顾性调查,91 \ %的焦虑(28)和/或抑郁症状开始之前(29)。16(48 \ %)降低焦虑(1)报道,抑郁症状(5),或者两者都在KDT (10)。百分之三十三有焦虑或抑郁症状恶化。百分之二十七都是相同的症状或仅焦虑症状是相同的。 In 3 patients who completed prospective surveys, 66\% showed dramatically improved anxiety and depressive symptoms and all participants responded to KDT. One participant without improvement reported increased anxiety.Conclusions: Chronic psychiatric symptoms may be under-reported in adults with epilepsy. The majority of anxiety and depressive symptoms improved among nearly half of patients examined retrospectively and two thirds of patients examined prospectively. Patients with worsening symptoms were symptomatic at baseline, indicating KDT likely did not result in development of psychiatric symptoms. KDT may reduce psychiatric symptoms in adults with chronic epilepsy.Disclosure: Dr. Shegelman has nothing to disclose. Dr. Cervenka has received personal compensation for consulting, serving on a scientific advisory board, speaking, or other activities with Nutricia North America. Dr. Cervenka has received research support from Nutricia North America, Vitaflo. Dr. McDonald has nothing to disclose. Dr. Henry-Barron has received personal compensation for consulting, serving on a scientific advisory board, speaking, or other activities with Nutricia, BioMarin, and Therachon. Dr. Henry-Barron has received research support from Nutricia and Vitaflo.}, issn = {0028-3878}, URL = {//www.ez-admanager.com/content/92/15_Supplement/P1.5-004}, eprint = {//www.ez-admanager.com/content}, journal = {Neurology} }