Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: Cross-validation study of practical algorithms.
Alzheimer's disease
Aβ(42)
Cerebrospinal fluid
Diagnostic accuracy
Plasma Aβ(42)/Aβ(40)
Position emission tomography
Prediction
Risk estimation
β-amyloid
Journal
Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
received:
20
03
2018
revised:
14
06
2018
accepted:
21
08
2018
pubmed:
27
10
2018
medline:
11
4
2020
entrez:
27
10
2018
Statut:
ppublish
Résumé
The aim was to create readily available algorithms that estimate the individual risk of β-amyloid (Aβ) positivity. 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 Aβ 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 Aβ 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.
Identifiants
pubmed: 30365928
pii: S1552-5260(18)33524-6
doi: 10.1016/j.jalz.2018.08.014
pmc: PMC6374284
pii:
doi:
Substances chimiques
Amyloid beta-Peptides
0
Apolipoproteins E
0
Biomarkers
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
194-204Subventions
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Informations de copyright
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
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