EARLY DETECTION OF PARKINSONS DISEASE--PILOT STUDY

影响了100多万美国人，大多数年龄超过60岁， 帕金森氏病（PD）是一个重要的健康问题，以获得在这方面， 影响了我们社会中老年人群体的增长。 与 最近引进的治疗，旨在延缓其进展， 早期识别PD现在变得至关重要。 早期PD检测 将允许及时进行预防性治疗（例如：MAO-B 抑制剂或其他抗氧化剂），因此，疾病进展可能是 并避免了其致残后果。 假设细微但可检测的异常存在于早期， 疾病，我们建议开发一个诊断测试电池早期PD。 以算法的方式，这样的测试电池然后可以用于 一般人群，针对PD“高危”个体（在 根据年龄、家族史、生化标志物等）。 通过使用多模态测试，受试者（n=100） 将检查未治疗的PD并与非帕金森病年龄进行比较， 性别匹配的对照组每年进行一次，持续5年。 测试电池已经 根据我们PD内部进行的初步工作专门组装 研究中心和其他。 建议用于研究的每个参数 在帕金森病患者（早期和晚期疾病）中产生了异常结果， 与对照相比。 测试将包括嗅觉评估，视觉评估 对比敏感度测量，长潜伏期反射分析（通过 机械牵拉和皮肤电刺激），反应 时间/运动时间，测定运动激活时间，震颤 通过加速度计测量，压力中心通过 平衡平台测试 通过判别分析和逐步线性回归， 回归模型，最敏感和可靠的诊断指标 将确定PD。 这种早期PD的纵向对照研究可能会产生 这种退化的情况可以很容易地检测出来， 为症状前个体提供预防性治疗的机会 疗法

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.