| Autor: |
Daniel E. Gustavson, Jeremy A. Elman, Mark Sanderson‐Cimino, Carol E. Franz, Matthew S. Panizzon, Amy J. Jak, Chandra A. Reynolds, Michael C. Neale, Michael J. Lyons, William S. Kremen |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2352-8729 |
| DOI: |
10.1002/dad2.12004 |
| Popis: |
Abstract Introduction Predicting risk for Alzheimer's disease when most people are likely still biomarker negative would aid earlier identification. We hypothesized that combining multiple memory tests and scores in middle‐aged adults would provide useful, and non‐invasive, prediction of 6‐year progression to MCI. Methods We examined 849 men who were cognitively normal at baseline (mean age ± SD = 55.69 ± 2.45). Results California Verbal Learning Test learning trials was the best individual predictor of amnestic MCI (OR = 4.75). A latent factor incorporating seven measures across three memory tests provided much stronger prediction (OR = 9.88). This compared favorably with biomarker‐based prediction in a study of much older adults. Discussion Neuropsychological tests are sensitive and early indicators of MCI risk at an age when few individuals are likely to have yet become biomarker positive. The single best measures may appear time‐ and cost‐effective, but 30 additional minutes of testing and use of multiple scores within tests provide substantially improved prediction. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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