The clinical practice of risk reduction for Alzheimer's disease: A precision medicine approach

Alzheimers Dement. 2018 Dec;14(12):1663-1673. doi: 10.1016/j.jalz.2018.08.004. Epub 2018 Nov 13.

Abstract

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.

Keywords: APOE; Alzheimer’s Prevention Clinic; Alzheimer’s disease prevention; Alzheimer’s precision medicine; Clinical precision medicine; Multidomain interventions; Personalized medicine; Preclinical Alzheimer’s disease.

Publication types

  • Clinical Trial
  • Observational Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Alzheimer Disease / diagnosis
  • Alzheimer Disease / epidemiology
  • Alzheimer Disease / prevention & control*
  • Cognition
  • Female
  • Humans
  • Male
  • Middle Aged
  • Precision Medicine* / methods
  • Risk Reduction Behavior*

Associated data

  • ClinicalTrials.gov/NCT03687710