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Luis CA, Abdullah L, Ait-Ghezala G, et al. Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid. Int J Alzheimers Dis. 2011;2011:786264doi: 10.4061/2011/786264.
Luis, C. A., Abdullah, L., Ait-Ghezala, G., Mouzon, B., Keegan, A. P., Crawford, F., & Mullan, M. (2011). Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid. International journal of Alzheimer's disease, 2011786264. https://doi.org/10.4061/2011/786264
Luis, Cheryl A, et al. "Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid." International journal of Alzheimer's disease vol. 2011 (2011): 786264. doi: https://doi.org/10.4061/2011/786264
Luis CA, Abdullah L, Ait-Ghezala G, Mouzon B, Keegan AP, Crawford F, Mullan M. Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid. Int J Alzheimers Dis. 2011;2011:786264. doi: 10.4061/2011/786264. Epub 2011 May 24. PMID: 21660215; PMCID: PMC3109876.
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Int J Alzheimers Dis. 2011;2011:786264. doi: 10.4061/2011/786264. Epub 2011 May 24.

Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid.

International journal of Alzheimer's disease

Cheryl A Luis, Laila Abdullah, Ghania Ait-Ghezala, Benoit Mouzon, Andrew P Keegan, Fiona Crawford, Michael Mullan

Affiliations

  1. Roskamp Institute, 2040 Whitfield Avenue, Sarasota, FL 34243, USA.

PMID: 21660215 PMCID: PMC3109876 DOI: 10.4061/2011/786264

Abstract

We examined the usefulness of brief neuropsychological tests and serum Aβ as a predictive test for detecting MCI/AD in older adults. Serum Aβ levels were measured from 208 subjects who were cognitively normal at enrollment and blood draw. Twenty-eight of the subjects subsequently developed MCI (n = 18) or AD (n = 10) over the follow-up period. Baseline measures of global cognition, memory, language fluency, and serum Aβ(1-42) and the ratio of serum Aβ(1-42)/Aβ(1-40) were significant predictors for future MCI/AD using Cox regression with demographic variables, APOE ε4, vascular risk factors, and specific medication as covariates. An optimal sensitivity of 85.2% and specificity of 86.5% for predicting MCI/AD was achieved using ROC analyses. Brief neuropsychological tests and measurements of Aβ(1-42) obtained via blood warrants further study as a practical and cost effective method for wide-scale screening for identifying older adults who may be at-risk for pathological cognitive decline.

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