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Diagnostic accuracy and practice effects in the National Alzheimer's Coordinating Center Uniform Data Set neuropsychological battery

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Introduction The Uniform Data Set (UDS) neuropsychological battery is frequently used in clinical studies. However, practice effects, effectiveness as a measure of global cognitive functioning, and detection of mild cognitive impairment have not been examined. Methods A normative total score for the UDS has been developed. Linear discriminant analysis determined classification accuracy in identifying cognitively normal and impaired groups. Practice effects were examined in cognitively normal and cognitively impaired groups. Results The total score differentiates between cognitively normal participants and those with dementia, but does not accurately identify individuals with mild cognitive impairment (MCI). Mean total scores for test-exposed participants were significantly higher than test-naive participants in both the normal and MCI groups and were higher, but not significantly so, in the dementia group. Conclusion The total score's classification accuracy discriminates between cognitively normal versus participants who have dementia. The total score appears subject to practice effects.

Original languageEnglish
Pages (from-to)675-683
Number of pages9
JournalAlzheimer's and Dementia
Volume10
Issue number6
DOIs
StatePublished - Nov 1 2014

Bibliographical note

Publisher Copyright:
© 2014 The Alzheimer's Association. All rights reserved.

Funding

The authors thank the study volunteers, Nancy Stiles, MD, and the clinical core staff at the University of Kentucky Alzheimer’s Disease Center for their invaluable assistance in providing the clinical evaluations. This study was funded by the NIH/NIA ( R01AG019241 ) and the NIA ( P30AG028383 and R01AG038651 ).

FundersFunder number
National Institutes of Health (NIH)
National Institute on AgingP30AG028383, R01AG019241, R01AG038651
National Institute on Aging

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Aging
    • Cognitive testing
    • Diagnostic accuracy
    • Longitudinal data
    • Practice effects

    ASJC Scopus subject areas

    • Clinical Neurology
    • Geriatrics and Gerontology
    • Psychiatry and Mental health
    • Cellular and Molecular Neuroscience
    • Health Policy
    • Developmental Neuroscience
    • Epidemiology

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