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

Research output: Contribution to journalArticle


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 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.


External organisations
  • Skåne University Hospital
  • Sahlgrenska Academy
  • Sahlgrenska University Hospital
  • University College London
  • Euroimmun Medizinische Labordiagnostika AG
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Geriatrics
  • Neurology


  • Alzheimer's disease, Aβ, Cerebrospinal fluid, Diagnostic accuracy, Plasma Aβ/Aβ, Position emission tomography, Prediction, Risk estimation, β-amyloid
Original languageEnglish
Pages (from-to)194-204
JournalAlzheimer's and Dementia
Issue number2
Early online date2018 Oct
Publication statusPublished - 2019
Publication categoryResearch