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Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid
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...
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Published in: | International journal of alzheimer's disease 2011, Vol.2011 (2011), p.1-7 |
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container_title | International journal of alzheimer's disease |
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creator | Abdullah, Laila Luis, Cheryl A. Ait-Ghezala, Ghania Mouzon, Benoit Keegan, Andrew P. Crawford, Fiona Mullan, Michael |
description | 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 Aβ1–42 and the ratio of serum Aβ1–42/Aβ1–40 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 Aβ1–42 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. |
doi_str_mv | 10.4061/2011/786264 |
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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 Aβ1–42 and the ratio of serum Aβ1–42/Aβ1–40 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 Aβ1–42 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.</description><identifier>ISSN: 2090-8024</identifier><identifier>ISSN: 2090-0252</identifier><identifier>EISSN: 2090-0252</identifier><identifier>DOI: 10.4061/2011/786264</identifier><identifier>PMID: 21660215</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Alzheimer's disease ; Amyloid beta-protein ; Cognition disorders ; Diagnosis ; Neuropsychological tests ; Physiological aspects</subject><ispartof>International journal of alzheimer's disease, 2011, Vol.2011 (2011), p.1-7</ispartof><rights>Copyright © 2011 Cheryl A. Luis et al.</rights><rights>COPYRIGHT 2011 John Wiley & Sons, Inc.</rights><rights>Copyright © 2011 Cheryl A. Luis et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5874-ab695b902762b80fbd1660094b05420ebf8ab6eaf63263d224c61ebd3be444c53</citedby><cites>FETCH-LOGICAL-a5874-ab695b902762b80fbd1660094b05420ebf8ab6eaf63263d224c61ebd3be444c53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3109876/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3109876/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,27923,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21660215$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Urakami, Katsuya</contributor><creatorcontrib>Abdullah, Laila</creatorcontrib><creatorcontrib>Luis, Cheryl A.</creatorcontrib><creatorcontrib>Ait-Ghezala, Ghania</creatorcontrib><creatorcontrib>Mouzon, Benoit</creatorcontrib><creatorcontrib>Keegan, Andrew P.</creatorcontrib><creatorcontrib>Crawford, Fiona</creatorcontrib><creatorcontrib>Mullan, Michael</creatorcontrib><title>Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid</title><title>International journal of alzheimer's disease</title><addtitle>Int J Alzheimers Dis</addtitle><description>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 Aβ1–42 and the ratio of serum Aβ1–42/Aβ1–40 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 Aβ1–42 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.</description><subject>Alzheimer's disease</subject><subject>Amyloid beta-protein</subject><subject>Cognition disorders</subject><subject>Diagnosis</subject><subject>Neuropsychological tests</subject><subject>Physiological aspects</subject><issn>2090-8024</issn><issn>2090-0252</issn><issn>2090-0252</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqFkl2L1DAUhoso7rLulddKQVBQZidN0jS9EYbV1YH1A5y9Dvk4mcmSNrNNq8zf8of4m0ztOOyAYHKR5OQ5b04Ob5Y9LdAFRayYY1QU84ozzOiD7BSjGs0QLvHD_Z4jTE-y8xhv0TgqVNb8cXaCC8YQLsrTbHUFMjrlvOt3ebD51w6M071r1_mny-V88S6_iePhMwxd2Mad3gQf1k5Ln68g9jGXrcm_QTc0-a-fs0Wz88GZJ9kjK32E8_16lt1cvV9dfpxdf_mwvFxcz2TJKzqTitWlqhGuGFYcWWXGslBNFSopRqAsTwhIywhmxGBMNStAGaKAUqpLcpYtJ10T5K3Ydq6R3U4E6cSfQOjWQna90x6EBjC2JIxjYyiyhiNSVyVTAKw0FmjSejtpbQfVgNHQ9p30R6LHN63biHX4LkiBal6xJPBqL9CFuyH1RjQuavBethCGKHhVEM5oMT71YiLXMlXmWhuSoB5pscAV5qgimCTq4h9UmgYap0ML1qX4UcLLewkbkL7fxOCH3oU2HoNvJlB3IcYO7OGXBRKjq8ToKjG5KtHP7zfmwP71UAJeT8DGtUb-cP9RezbBkBCw8gDTuqp5TX4DGlzbwg</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Abdullah, Laila</creator><creator>Luis, Cheryl A.</creator><creator>Ait-Ghezala, Ghania</creator><creator>Mouzon, Benoit</creator><creator>Keegan, Andrew P.</creator><creator>Crawford, Fiona</creator><creator>Mullan, Michael</creator><general>Hindawi Puplishing Corporation</general><general>SAGE-Hindawi Access to Research</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>2011</creationdate><title>Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid</title><author>Abdullah, Laila ; Luis, Cheryl A. ; Ait-Ghezala, Ghania ; Mouzon, Benoit ; Keegan, Andrew P. ; Crawford, Fiona ; Mullan, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5874-ab695b902762b80fbd1660094b05420ebf8ab6eaf63263d224c61ebd3be444c53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Alzheimer's disease</topic><topic>Amyloid beta-protein</topic><topic>Cognition disorders</topic><topic>Diagnosis</topic><topic>Neuropsychological tests</topic><topic>Physiological aspects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abdullah, Laila</creatorcontrib><creatorcontrib>Luis, Cheryl A.</creatorcontrib><creatorcontrib>Ait-Ghezala, Ghania</creatorcontrib><creatorcontrib>Mouzon, Benoit</creatorcontrib><creatorcontrib>Keegan, Andrew P.</creatorcontrib><creatorcontrib>Crawford, Fiona</creatorcontrib><creatorcontrib>Mullan, Michael</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>International journal of alzheimer's disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abdullah, Laila</au><au>Luis, Cheryl A.</au><au>Ait-Ghezala, Ghania</au><au>Mouzon, Benoit</au><au>Keegan, Andrew P.</au><au>Crawford, Fiona</au><au>Mullan, Michael</au><au>Urakami, Katsuya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid</atitle><jtitle>International journal of alzheimer's disease</jtitle><addtitle>Int J Alzheimers Dis</addtitle><date>2011</date><risdate>2011</risdate><volume>2011</volume><issue>2011</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>2090-8024</issn><issn>2090-0252</issn><eissn>2090-0252</eissn><abstract>We examined the usefulness of brief neuropsychological tests and serum Aβ as a predictive test for detecting MCI/AD in older adults. 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subjects | Alzheimer's disease Amyloid beta-protein Cognition disorders Diagnosis Neuropsychological tests Physiological aspects |
title | Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid |
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