RT期刊文章SR电子T1检查预测身心组件的顶部女士的生活质量研究(P07.103)摩根富林明神经病学神经学乔FD Lippincott Williams &威尔金斯SP P07.103 OP P07.103 VO 78是1补充A1 Merrikay Oleen-Burkey A1霍华德Zwib首页el A1 Patricia Coyle A1道格拉斯Denney年2012 UL //www.ez-admanager.com/content/78/1_Supplement/P07.103.abstract AB目的:评估最有效预测物理组件的分数(pc)和精神组件分数(MCS) SF-12用来评估生活质量治疗优化女士(MS)研究。背景几个病人特征可能与电脑相关的女士和MCS包括病人年龄、残疾状况和水平的疲劳,认为认知障碍和抑郁。设计/方法:潜在参与者顶部女士研究发现与药物疗法专业药房管理计划。签署知情同意表格返回到药店和研究研究网站登记注销生产指令。在基线和定期在24个月,注册参与者收到提醒回应调查,包括SF-12健康调查,自述eds,疲劳程度(FSS)规模,认为赤字问卷(PDQ),和病人健康问卷(PHQ-depression)。自我报告的反应是直接进入到研究数据库。多元回归分析是用来确定个人电脑和MCS的预测因子。结果:患者特征的数组是高度有效地预测个人电脑包括病人年龄、自述eds,和分数fs, PDQ和PHQ (R2 = .620,调整p <措施)。独特的预测电脑是自述eds评分(p <。)和fs评分(p <。)作为独立的预测因子。相同的预测也是非常有效的预测MCS (R2 = .467,调整p <措施)。然而,独特的预测MCS自述eds (p = .055)和中介变量,PHQ (p <。)。结论:在同一组病人的特点是高度有效地预测个人电脑和MCS,抑郁是一个独特的和残疾之间的中介变量和MCS,电脑有两个独立的预测因子:残疾和疲劳。Teva制药公司的支持:。Disclosure: Dr. Oleen-Burkey has received personal compensation for activities with Teva Neuroscience. Dr. Oleen-Burkey holds stock and/or stock options in Pfizer, Inc and Teva Neuroscience. Dr. Oleen-Burkey has received research support from Teva Neuroscience. Dr. Zwibel has received personal compensation for activities with Serono, Inc., and Teva Neuroscience. Dr. Zwibel has received research support from Teva Neuroscience. Dr. Coyle has received personal compensation for activities with Acorda Therapeutics, Avanir Pharmaceuticals, Bayer Pharmaceuticals Corporation, Biogen Idec, Genzyme Corporation, Novartis, Questcor, Roche Diagnostics Corporation, Sanofi-Aventis Pharmaceuticals, Inc., and Teva Neuroscience. Dr. Coyle has received personal compensation in an editorial capacity for NEURA. Dr. Coyle has received research support from Serono, Inc., Novartis, and Sanofi-Aventis Pharmaceuticals, Inc. Dr. Denney has received personal compensation for activities with Teva Neuroscience Inc. as a consultant.Dr. Denney has received research support from Serono Inc.Thursday, April 26 2012, 14:00 pm-18:30 pm