Goetz C G
Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA.
J Neural Transm Suppl. 2006(70):305-8.
Several new advances facilitate current understanding of the progression of Parkinson's disease. The application of statistical modeling techniques has helped to estimate rates of clinical decline in the context of symptomatic interventions. These approaches may allow a new means for testing neuroprotection effects even when patients are on dopaminergic treatment. Further, the development of new rating scales, specifically the Movement Disorder Society-initiated revision of the Unified Parkinson's Disease Rating Scale has capitalized on a greater clinical appreciation of non-motor elements of Parkinson's disease. Finally, adaptations of new technologies that are computer-based and enable data transmission from at-home environments allow researchers to capture disease impairment and disability with potentially greater precision and much more frequently than permissible in a hospital clinic or practice setting.
多项新进展促进了当前对帕金森病进展的理解。统计建模技术的应用有助于在症状性干预的背景下估计临床衰退率。即使患者正在接受多巴胺能治疗，这些方法也可能提供一种测试神经保护作用的新手段。此外，新评分量表的开发，特别是运动障碍协会发起的统一帕金森病评分量表修订版，利用了对帕金森病非运动要素的更深入临床认识。最后，基于计算机的新技术的应用以及能够从家庭环境传输数据，使研究人员能够比在医院诊所或实际环境中更精确、更频繁地捕捉疾病损伤和残疾情况。
