Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets.
Author(s)
Type
Journal Article
Abstract
There exist a large number of cohort studies that have been used to identify genetic and biological risk factors for developing Alzheimer's disease (AD). However, there is a disagreement between studies as to how strongly these risk factors affect the rate of progression through diagnostic groups toward AD. We have calculated the probability of transitioning through diagnostic groups in six studies and considered how uncertainty around the strength of the effect of these risk factors affects estimates of the distribution of individuals in each diagnostic group in an AD clinical trial simulator. In this work, we identify the optimal choice of widely collected variables for comparing data sets and calculating probabilities of progression toward AD. We use the estimated transition probabilities to inform stochastic simulations of AD progression that are based on a Markov model and compare predicted incidence rates to those in a community-based study, the Cardiovascular Health Study.
Date Issued
2019-10-03
Date Acceptance
2019-10-01
Citation
Alzheimers & Dementia, 2019, 5, pp.515-523
ISSN
1552-5260
Publisher
Elsevier
Start Page
515
End Page
523
Journal / Book Title
Alzheimers & Dementia
Volume
5
Copyright Statement
© 2019 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is an
open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/
4.0/).
open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/
4.0/).
Sponsor
Janssen Vaccines & Prevention B.V
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31650008
PII: S2352-8737(19)30019-8
Grant Number
P22539540R
Subjects
Dementia
Epidemiology
Mild cognitive impairment
Mixed regression
Modeling
Statistical analysis
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2019-10-03