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Dataset Information

Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: Cross-validation study of practical algorithms.


ABSTRACT:

Introduction

The aim was to create readily available algorithms that estimate the individual risk of β-amyloid (Aβ) positivity.

Methods

The algorithms were tested in BioFINDER (n = 391, subjective cognitive decline or mild cognitive impairment) and validated in Alzheimer's Disease Neuroimaging Initiative (n = 661, subjective cognitive decline or mild cognitive impairment). The examined predictors of Aβ status were demographics; cognitive tests; white matter lesions; apolipoprotein E (APOE); and plasma Aβ42/Aβ40, tau, and neurofilament light.

Results

Aβ status was accurately estimated in BioFINDER using age, 10-word delayed recall or Mini-Mental State Examination, and APOE (area under the receiver operating characteristics curve = 0.81 [0.77-0.85]

SUBMITTER: Palmqvist S 

PROVIDER: S-EPMC6374284 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature