A flexible modeling approach for biomarker-based computation of absolute risk of Alzheimer's disease dementia.

ABSTRACT:

Introduction

As Alzheimer's disease (AD) biomarkers rapidly develop, tools are needed that accurately and effectively communicate risk of AD dementia.

Methods

We analyzed longitudinal data from >10,000 cognitively unimpaired older adults. Five-year risk of AD dementia was modeled using survival analysis.

Results

A demographic model was developed and validated on independent data with area under the receiver operating characteristic curve (AUC) for 5-year prediction of AD dementia of 0.79. Clinical and cognitive variables (AUC = 0.79), and apolipoprotein E genotype (AUC = 0.76) were added to the demographic model. We then incorporated the risk computed from the demographic model with hazard ratios computed from independent data for amyloid positron emission tomography

SUBMITTER: Hartz SM 

PROVIDER: S-EPMC10060442 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature