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- W2064913229 abstract "Abstract Background Our objective in this study was to develop a point‐based tool to predict conversion from amnestic mild cognitive impairment (MCI) to probable Alzheimer's disease (AD). Methods Subjects were participants in the first part of the Alzheimer's Disease Neuroimaging Initiative. Cox proportional hazards models were used to identify factors associated with development of AD, and a point score was created from predictors in the final model. Results The final point score could range from 0 to 9 (mean 4.8) and included: the Functional Assessment Questionnaire (2‒3 points); magnetic resonance imaging (MRI) middle temporal cortical thinning (1 point); MRI hippocampal subcortical volume (1 point); Alzheimer's Disease Cognitive Scale—cognitive subscale (2‒3 points); and the Clock Test (1 point). Prognostic accuracy was good (Harrell's c = 0.78; 95% CI 0.75, 0.81); 3‐year conversion rates were 6% (0‒3 points), 53% (4‒6 points), and 91% (7‒9 points). Conclusions A point‐based risk score combining functional dependence, cerebral MRI measures, and neuropsychological test scores provided good accuracy for prediction of conversion from amnestic MCI to AD." @default.
- W2064913229 created "2016-06-24" @default.
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- W2064913229 date "2014-02-03" @default.
- W2064913229 modified "2023-10-18" @default.
- W2064913229 title "A point‐based tool to predict conversion from mild cognitive impairment to probable Alzheimer's disease" @default.
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- W2064913229 doi "https://doi.org/10.1016/j.jalz.2013.12.014" @default.
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