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Published on: January 24, 2020
Extensive memory testing improves prediction of progression to MCI in late middle age
Daniel E Gustavson1,2, Jeremy A Elman2, Mark Sanderson-Cimino2
1Division of Genetic Medicine Department of Medicine Vanderbilt University Medical Center Nashville Tennessee.
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.
Insights
Combining multiple memory tests in middle-aged adults can predict mild cognitive impairment (MCI) risk up to six years in advance. This non-invasive approach aids early Alzheimer's disease identification before biomarkers appear.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Gerontology
Background:
- Early Alzheimer's disease (AD) prediction is crucial when individuals are biomarker-negative.
- Non-invasive methods for predicting cognitive decline are needed.
- Identifying risk for mild cognitive impairment (MCI) in middle age aids early intervention.
Purpose of the Study:
- To evaluate the predictive power of memory tests for 6-year MCI progression in cognitively normal middle-aged adults.
- To determine if combining multiple memory tests enhances prediction accuracy.
- To compare neuropsychological prediction with biomarker-based prediction.
Main Methods:
- Examined 849 cognitively normal men (mean age 55.69 years).
- Utilized the California Verbal Learning Test and other memory assessments.
- Developed a latent factor model incorporating seven memory measures.
Main Results:
- The California Verbal Learning Test learning trials best predicted amnestic MCI (OR=4.75).
- A latent factor combining seven measures significantly improved prediction (OR=9.88).
- This prediction favorably compared to biomarker-based methods in older adults.
Conclusions:
- Neuropsychological tests effectively identify early MCI risk in middle age, preceding biomarker positivity.
- While single tests offer some prediction, combining multiple measures substantially improves accuracy.
- Extended testing (30 minutes) with multiple scores provides superior prediction of cognitive decline.
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