EARLY DETECTION OF PARKINSON'S DISEASE--PILOT STUDY

影响了100多万美国人，其中大多数是60岁以上的人， 帕金森氏病(PD)是一个值得关注的健康问题 影响了我们社会中老年人口的增长。与 最近推出了旨在延缓其进展的治疗方法， 现在，及早认识到帕金森病是最重要的。早期帕金森病的检测 将允许迅速建立预防性治疗制度(例如：MAO-B 抑制剂或其他抗氧化剂)，因此，疾病进展可能是 被逮捕并避免其致残后果。 假设早期存在细微但可检测到的异常 针对这种疾病，我们建议开发一种针对早期帕金森病的诊断测试组件。 以一种算法的方式，这样的测试电池可以用于 针对帕金森病高危人群的普通人群(在 年龄、家族史、生化标记物等)。 通过使用多通道测试，受试者(n=100)早期 未经治疗的帕金森病患者将接受检查，并与非帕金森病患者的年龄和 连续5年每年进行性别匹配对照。测试电池已经 根据我们PD内进行的初步工作专门组装 研究中心和其他人。建议研究的每个参数 在帕金森氏症患者(早期和晚期疾病)中发现异常 与对照组相比。测试将包括嗅觉评估、视觉 对比敏感度测量、长潜伏期反射分析(VIA 机械拉伸和皮肤电刺激)、反应 时间/运动时间与运动激活时间、震颤的测定 通过加速度计测量，压力中心由 平衡台测试。通过判别分析和逐步线性 回归建模--最敏感、最可靠的诊断指标 将确定Pd的大小。 这项对早期帕金森病的纵向对照研究可能会产生 通过其可以容易地检测到这种退化状况，从而 为有症状前期的人提供预防的机会 心理治疗。

Affecting more than 1 million Americans, most over age 60 years, Parkinson's disease (PD) is a significantly health concern to gain in this impact give the growth of the geriatric segment of our society. With the recent introduction of therapy aimed at retarding its progression, the early recognition of PD now becomes paramount. Detection of incipient PD would permit the prompt institution of preventative treatment (eg: MAO-B inhibitors or other antioxidants), thus, disease progression might be arrested and its disabling consequences avoided. Hypothesizing that subtle but detectable abnormalities are present early in the illness, we propose to develop a diagnostic test battery for early PD. In an algorithmic fashion, such a test battery might then be employed in the general population, targeting individuals 'at risk' for PD (on the basis of age, family history, biochemical markers, etc.,). Through the use of multi-modality testing, subjects (n=100) with early untreated PD will be examined and compared to non-parkinsonian age and gender matched controls annually for 5 years. The test battery has been specifically assembled based on preliminary work conducted within our PD Research Center and by others. Each of the parameters proposed for study has produced abnormal findings in parkinsonians (early and late disease) as compared to controls. Testing will included olfactory assessment, visual contrast sensitivity measurement, long latency reflex analysis (via mechanical stretch and cutaneous electrical stimulation), reaction time/movement time with determination of movement activation time, tremor as measured by accelerometry, and center of pressure as determined by balance platform testing. Via discriminate analysis and stepwise linear regression modeling, the most sensitive and reliable diagnostic indicators of PD will be determined. This longitudinal controlled investigation of early PD may yield the means by which this degenerative condition could easily detected, thereby affording pre-symptomatic individuals the opportunity for preventative therapy.