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

Journal Article (Journal Article)

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] to 0.83 [0.79-0.87]). When validated, the models performed almost identical in Alzheimer's Disease Neuroimaging Initiative (area under the receiver operating characteristics curve = 0.80-0.82) and within different age, subjective cognitive decline, and mild cognitive impairment populations. Plasma Aβ42/Aβ40 improved the models slightly. DISCUSSION: The algorithms are implemented on http://amyloidrisk.com where the individual probability of being Aβ positive can be calculated. This is useful in the workup of prodromal Alzheimer's disease and can reduce the number needed to screen in Alzheimer's disease trials.

Full Text

Duke Authors

Cited Authors

  • Palmqvist, S; Insel, PS; Zetterberg, H; Blennow, K; Brix, B; Stomrud, E; Alzheimer's Disease Neuroimaging Initiative, ; Swedish BioFINDER study, ; Mattsson, N; Hansson, O

Published Date

  • February 2019

Published In

Volume / Issue

  • 15 / 2

Start / End Page

  • 194 - 204

PubMed ID

  • 30365928

Pubmed Central ID

  • PMC6374284

Electronic International Standard Serial Number (EISSN)

  • 1552-5279

Digital Object Identifier (DOI)

  • 10.1016/j.jalz.2018.08.014

Language

  • eng

Conference Location

  • United States