Kaye Jeffrey
NIA - Layton Aging & Alzheimer's Disease Center and ORCATECH, the Oregon Center for Aging & Technology, Oregon Health & Science University, Portland, OR, USA.
Alzheimers Dement. 2008 Jan;4(1 Suppl 1):S60-6. doi: 10.1016/j.jalz.2007.10.003. Epub 2007 Dec 21.
The approach toward treatment of Alzheimer's disease has evolved out of a large body of research, resulting in a common trial paradigm directed toward establishing efficacy and safety of putative treatments for dementia. To achieve the ultimate goal of preventing dementia, the future will build on this model but will need to incorporate new paradigms to more efficiently detect meaningful change over time. Among new innovations needed is the capability for assessing trajectories of change over many years. Intrinsic to this success is the ability to capture increasing variability as well as subject heterogeneity inherent in longitudinal aging cohorts. New methods of ubiquitous embedded home sensing and computing afford the opportunity to assess volunteers not only during long periods of time but with greater frequency and convenience. Clinical studies identifying the optimal ways of using these methods are needed.
阿尔茨海默病的治疗方法是在大量研究的基础上发展而来的,形成了一种常见的试验范式,旨在确定痴呆症潜在治疗方法的有效性和安全性。为了实现预防痴呆症的最终目标,未来将基于这一模式,但需要纳入新的范式,以更有效地检测随时间推移的有意义变化。所需的新创新之一是评估多年变化轨迹的能力。这一成功的内在要求是能够捕捉纵向老龄化队列中日益增加的变异性以及个体异质性。无处不在的嵌入式家庭传感和计算新方法提供了机会,不仅可以在很长一段时间内,而且可以更频繁、更方便地评估志愿者。需要开展临床研究,以确定使用这些方法的最佳方式。