Department of Neurology, Weill Cornell Medicine and NewYork-Presbyterian, New York, NY, USA.
School of Nursing, Hunter College, City University of New York, New York, NY, USA.
Alzheimers Dement. 2018 Dec;14(12):1663-1673. doi: 10.1016/j.jalz.2018.08.004. Epub 2018 Nov 13.
Like virtually all age-related chronic diseases, late-onset Alzheimer's disease (AD) develops over an extended preclinical period and is associated with modifiable lifestyle and environmental factors. We hypothesize that multimodal interventions that address many risk factors simultaneously and are individually tailored to patients may help reduce AD risk. We describe a novel clinical methodology used to evaluate and treat patients at two Alzheimer's Prevention Clinics. The framework applies evidence-based principles of clinical precision medicine to tailor individualized recommendations, follow patients longitudinally to continually refine the interventions, and evaluate N-of-1 effectiveness (trial registered at ClinicalTrials.gov NCT03687710). Prior preliminary results suggest that the clinical practice of AD risk reduction is feasible, with measurable improvements in cognition and biomarkers of AD risk. We propose using these early findings as a foundation to evaluate the comparative effectiveness of personalized risk management within an international network of clinician researchers in a cohort study possibly leading to a randomized controlled trial.
与几乎所有与年龄相关的慢性疾病一样,迟发性阿尔茨海默病(AD)在很长的临床前期发展,并与可改变的生活方式和环境因素有关。我们假设,同时针对多种风险因素并针对患者个体量身定制的多模式干预措施可能有助于降低 AD 风险。我们描述了一种用于评估和治疗两家阿尔茨海默病预防诊所患者的新临床方法。该框架将临床精准医学的循证原则应用于量身定制个性化建议,对患者进行纵向跟踪以不断改进干预措施,并评估 N-of-1 有效性(在 ClinicalTrials.gov 注册为 NCT03687710)。先前的初步结果表明,AD 风险降低的临床实践是可行的,认知能力和 AD 风险的生物标志物均有可衡量的改善。我们建议将这些早期发现作为基础,在一个由临床研究人员组成的国际网络中评估个性化风险管理的相对有效性,该研究可能会进行一项随机对照试验。