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Prediction of future Alzheimer’s disease dementia using plasma phospho-tau combined with other accessible measures

, Pontus Tideman, Nicholas Cullen, , , , Erik Stomrud, , Niklas Mattsson-Carlgren,
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Published: 24 May 2021
Nature Medicine , Volume 27, pp 1034-1042; doi:10.1038/s41591-021-01348-z

Abstract: A combination of plasma phospho-tau (P-tau) and other accessible biomarkers might provide accurate prediction about the risk of developing Alzheimer’s disease (AD) dementia. We examined this in participants with subjective cognitive decline and mild cognitive impairment from the BioFINDER (n = 340) and Alzheimer’s Disease Neuroimaging Initiative (ADNI) (n = 543) studies. Plasma P-tau, plasma Aβ42/Aβ40, plasma neurofilament light, APOE genotype, brief cognitive tests and an AD-specific magnetic resonance imaging measure were examined using progression to AD as outcome. Within 4 years, plasma P-tau217 predicted AD accurately (area under the curve (AUC) = 0.83) in BioFINDER. Combining plasma P-tau217, memory, executive function and APOE produced higher accuracy (AUC = 0.91, P < 0.001). In ADNI, this model had similar AUC (0.90) using plasma P-tau181 instead of P-tau217. The model was implemented online for prediction of the individual probability of progressing to AD. Within 2 and 6 years, similar models had AUCs of 0.90–0.91 in both cohorts. Using cerebrospinal fluid P-tau, Aβ42/Aβ40 and neurofilament light instead of plasma biomarkers did not improve the accuracy significantly. The clinical predictions by memory clinic physicians had significantly lower accuracy (4-year AUC = 0.71). In summary, plasma P-tau, in combination with brief cognitive tests and APOE genotyping, might greatly improve the diagnostic prediction of AD and facilitate recruitment for AD trials. Plasma P-tau, in combination with clinical measures, predicts future Alzheimer’s disease dementia in two independent cohorts with high accuracy and is superior to the clinical diagnostic predictions of specialists.
Keywords: Alzheimer's disease / Prognostic markers / Biomedicine / general / Cancer Research / Metabolic Diseases / Infectious Diseases / Molecular Medicine / Neurosciences

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