Journal article
Predicting Alzheimer disease with β-amyloid imaging: Results from the Australian imaging, biomarkers, and lifestyle study of ageing
Annals of Neurology, Vol.74(6), pp.905-913
2014
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 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
Details
- Title
- Predicting Alzheimer disease with β-amyloid imaging: Results from the Australian imaging, biomarkers, and lifestyle study of ageing
- Authors/Creators
- C.C. Rowe (Author/Creator) - Austin HealthP. Bourgeat (Author/Creator) - Australian e-Health Research CentreK.A. Ellis (Author/Creator) - Florey Institute of Neuroscience and Mental HealthB. Brown (Author/Creator) - Edith Cowan UniversityY.Y. Lim (Author/Creator) - Florey Institute of Neuroscience and Mental HealthR. Mulligan (Author/Creator) - Austin HealthG. Jones (Author/Creator) - Austin HealthP. Maruff (Author/Creator) - Florey Institute of Neuroscience and Mental HealthM. Woodward (Author/Creator) - Austin HealthR. Price (Author/Creator) - Sir Charles Gairdner HospitalP. Robins (Author/Creator) - Sir Charles Gairdner HospitalH. Tochon-Danguy (Author/Creator) - Austin HealthG. O'Keefe (Author/Creator) - Austin HealthK.E. Pike (Author/Creator) - Austin HealthP. Yates (Author/Creator) - Austin HealthC. Szoeke (Author/Creator) - National Ageing Research InstituteO. Salvado (Author/Creator) - Australian e-Health Research CentreS.L. Macaulay (Author/Creator) - Preventative HealthT. O'Meara (Author/Creator) - Preventative HealthR. Head (Author/Creator) - Preventative HealthL. Cobiac (Author/Creator) - Preventative HealthG. Savage (Author/Creator) - Australian Research CouncilR. Martins (Author/Creator) - Edith Cowan UniversityC.L. Masters (Author/Creator) - Florey Institute of Neuroscience and Mental HealthD. Ames (Author/Creator) - The University of MelbourneV.L. Villemagne (Author/Creator) - Austin Health
- Publication Details
- Annals of Neurology, Vol.74(6), pp.905-913
- Publisher
- Wiley
- Identifiers
- 991005541413607891
- Copyright
- © 2014 The Authors. Annals of Neurology
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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