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  • Predicting Alzheimer Disease with beta-Amyloid Imaging: Results from the Australian Imaging, Biomarkers, and Lifestyle Study of Ageing

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    Pike1484219-Published.pdf (163.1Kb)
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    Author(s)
    Rowe, Christopher C
    Bourgeat, Pierrick
    Ellis, Kathryn A
    Brown, Belinda
    Lim, Yen Ying
    Mulligan, Rachel
    Jones, Gareth
    Maruff, Paul
    Woodward, Michael
    Price, Roger
    Robins, Peter
    Tochon-Danguy, Henri
    O'Keefe, Graeme
    Pike, Kerryn E
    Salvado, Olivier
    et al.
    Griffith University Author(s)
    Pike, Kerryn E.
    Salvado, Olivier
    Year published
    2013
    Metadata
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    Abstract
    Objective Biomarkers for Alzheimer disease (AD) can detect the disease pathology in asymptomatic subjects and individuals with mild cognitive impairment (MCI), but their cognitive prognosis remains uncertain. We aimed to determine the prognostic value of β-amyloid imaging, alone and in combination with memory performance, hippocampal atrophy, and apolipoprotein E ε4 status in nondemented, older individuals. Methods A total of 183 healthy individuals (age = 72.0 ± 7.26 years) and 87 participants with MCI (age = 73.7 ± 8.27) in the Australian Imaging, Biomarkers, and Lifestyle study of ageing were studied. Clinical reclassification ...
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    Objective Biomarkers for Alzheimer disease (AD) can detect the disease pathology in asymptomatic subjects and individuals with mild cognitive impairment (MCI), but their cognitive prognosis remains uncertain. We aimed to determine the prognostic value of β-amyloid imaging, alone and in combination with memory performance, hippocampal atrophy, and apolipoprotein E ε4 status in nondemented, older individuals. Methods A total of 183 healthy individuals (age = 72.0 ± 7.26 years) and 87 participants with MCI (age = 73.7 ± 8.27) in the Australian Imaging, Biomarkers, and Lifestyle study of ageing were studied. Clinical reclassification was performed after 3 years, blind to biomarker findings. β-Amyloid imaging was considered positive if the 11C-Pittsburgh compound B cortical to reference ratio was ≥1.5. Results Thirteen percent of healthy persons progressed (15 to MCI, 8 to dementia), and 59% of the MCI cohort progressed to probable AD. Multivariate analysis showed β-amyloid imaging as the single variable most strongly associated with progression. Of combinations, subtle memory impairment (Z score = -0.5 to -1.5) with a positive amyloid scan was most strongly associated with progression in healthy individuals (odds ratio [OR] = 16, 95% confidence interval [CI] = 3.7-68; positive predictive value [PPV] = 50%, 95% CI = 19-81; negative predictive value [NPV] = 94%, 95% CI = 88-98). Almost all amnestic MCI subjects (Z score ≤ -1.5) with a positive amyloid scan developed AD (OR = ∞; PPV = 86%, 95% CI = 72-95; NPV = 100%, 95% CI = 80-100). Hippocampal atrophy and ε4 status did not add further predictive value. Interpretation Subtle memory impairment with a positive β-amyloid scan identifies healthy individuals at high risk for MCI or AD. Clearly amnestic patients with a positive amyloid scan have prodromal AD and a poor prognosis for dementia within 3 years. Ann Neurol 2013;74:905-913 © 2013 American Neurological Association.
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    Journal Title
    Annals of Neurology
    Volume
    74
    Issue
    6
    DOI
    https://doi.org/10.1002/ana.24040
    Copyright Statement
    © 2014 The Authors. Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
    Subject
    Science & Technology
    Life Sciences & Biomedicine
    Clinical Neurology
    Neurosciences & Neurology
    Publication URI
    http://hdl.handle.net/10072/413865
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    • Journal articles

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