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dc.contributor.authorEliassen, Ingvild Vøllo
dc.contributor.authorFladby, Tormod
dc.contributor.authorKirsebom, Bjørn-Eivind
dc.contributor.authorWaterloo, Knut
dc.contributor.authorEckerström, Marie
dc.contributor.authorWallin, Anders
dc.contributor.authorBråthen, Geir
dc.contributor.authorAarsland, Dag
dc.contributor.authorHessen, Erik
dc.date.accessioned2021-03-25T13:49:00Z
dc.date.available2021-03-25T13:49:00Z
dc.date.created2021-02-03T15:35:34Z
dc.date.issued2020
dc.identifier.citationNeuropsychology. 2020, 34 (8), 851-861.en_US
dc.identifier.issn0894-4105
dc.identifier.urihttps://hdl.handle.net/11250/2735562
dc.description.abstractObjective: To assess the role of brief neuropsychological assessments in prediction and identification of Alzheimer’s disease (AD) pathology and progression to AD dementia. Method: Adults (N = 255; range = 40–81 years) with self-reported cognitive decline underwent baseline and 2-year follow-up clinical assessment, including a brief neuropsychological screening and lumbar puncture. Five different mild cognitive impairment (MCI) algorithms were applied on baseline cognitive test results: one conventional, three amnestic (lenient, stringent, multidomain), and one comprehensive criterion. We compared predictive and diagnostic accuracy of these MCI criteria by performing logistic regression analyses and calculating diagnostic accuracy measures for 2-year outcomes of (1) clinical diagnosis of AD dementia and (2) cerebrospinal fluid biomarkers in the Alzheimer’s continuum. Results: The lenient amnestic MCI criterion showed the largest effect size for predicting progression to AD dementia (OR = 13.762, 99% CI = 1.969–96.194, p = .001) and AD biomarkers (OR = 4.855, 99% CI = 1.974–11.924, p < .001) after 2 years. This criterion was sensitive for progression to dementia (sensitivity = 92.0%, specificity = 54.8%, positive likelihood ratio [LR+] = 2.03, LR− = 0.15) and showed the highest overall diagnostic accuracy for AD biomarkers (sensitivity = 72.7%, specificity = 59.1%, LR+ = 1.78, negative likelihood ratio [LR−] = 0.46). The multidomain amnestic MCI criterion produced the highest specificity for dementia (sensitivity = 76.0%, specificity = 73.0%, LR+ = 2.82, LR− = 0.33) and AD biomarkers (sensitivity = 46.8% specificity = 70.9% LR+ = 1.61, LR− = 0.75). Conclusions: Defining MCI using a brief neuropsychological battery provided limited accuracy for progression to AD dementia and cerebrospinal fluid Aβ. The lenient amnestic MCI criterion identified the highest number of individuals who progressed to clinical AD or showed biomarker pathology, but this approach included a substantial number of false positives. (PsycInfo Database Record (c) 2020 APA, all rights reserved)en_US
dc.language.isoengen_US
dc.publisherAmerican Psychological Associationen_US
dc.titlePredictive and diagnostic utility of brief neuropsychological assessment in detecting Alzheimer's pathology and progression to dementiaen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber851-861en_US
dc.source.volume34en_US
dc.source.journalNeuropsychologyen_US
dc.source.issue8en_US
dc.identifier.doi10.1037/neu0000698
dc.identifier.cristin1886410
dc.description.localcode© American Psychological Association, 2020. This paper is not the copy of record and may not exactly replicate the authoritative document published in the APA journal. Please do not copy or cite without author's permission. The final article is available, upon publication, at: http://dx.doi.org/10.1037/neu0000698en_US
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cristin.fulltextoriginal
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