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

Publication ,  Journal Article
Palmqvist, S; Insel, PS; Zetterberg, H; Blennow, K; Brix, B; Stomrud, E; Alzheimer's Disease Neuroimaging Initiative, ; Swedish BioFINDER study, ...
Published in: Alzheimers Dement
February 2019

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.

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Published In

Alzheimers Dement

DOI

EISSN

1552-5279

Publication Date

February 2019

Volume

15

Issue

2

Start / End Page

194 / 204

Location

United States

Related Subject Headings

  • Predictive Value of Tests
  • Positron-Emission Tomography
  • Male
  • Humans
  • Geriatrics
  • Female
  • Cognitive Dysfunction
  • Biomarkers
  • Apolipoproteins E
  • Amyloid beta-Peptides
 

Citation

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ICMJE
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Palmqvist, S., Insel, P. S., Zetterberg, H., Blennow, K., Brix, B., Stomrud, E., … Hansson, O. (2019). Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: Cross-validation study of practical algorithms. Alzheimers Dement, 15(2), 194–204. https://doi.org/10.1016/j.jalz.2018.08.014
Palmqvist, Sebastian, Philip S. Insel, Henrik Zetterberg, Kaj Blennow, Britta Brix, Erik Stomrud, Erik Alzheimer’s Disease Neuroimaging Initiative, Erik Swedish BioFINDER study, Niklas Mattsson, and Oskar Hansson. “Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: Cross-validation study of practical algorithms.Alzheimers Dement 15, no. 2 (February 2019): 194–204. https://doi.org/10.1016/j.jalz.2018.08.014.
Palmqvist S, Insel PS, Zetterberg H, Blennow K, Brix B, Stomrud E, et al. Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: Cross-validation study of practical algorithms. Alzheimers Dement. 2019 Feb;15(2):194–204.
Palmqvist, Sebastian, et al. “Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: Cross-validation study of practical algorithms.Alzheimers Dement, vol. 15, no. 2, Feb. 2019, pp. 194–204. Pubmed, doi:10.1016/j.jalz.2018.08.014.
Palmqvist S, Insel PS, Zetterberg H, Blennow K, Brix B, Stomrud E, Alzheimer’s Disease Neuroimaging Initiative, Swedish BioFINDER study, Mattsson N, Hansson O. Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: Cross-validation study of practical algorithms. Alzheimers Dement. 2019 Feb;15(2):194–204.
Journal cover image

Published In

Alzheimers Dement

DOI

EISSN

1552-5279

Publication Date

February 2019

Volume

15

Issue

2

Start / End Page

194 / 204

Location

United States

Related Subject Headings

  • Predictive Value of Tests
  • Positron-Emission Tomography
  • Male
  • Humans
  • Geriatrics
  • Female
  • Cognitive Dysfunction
  • Biomarkers
  • Apolipoproteins E
  • Amyloid beta-Peptides