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Prediction of probable Alzheimer's disease in memory-impaired patients: A prospective longitudinal study
Abstract
We determined whether a battery of neuropsychological tests could predict who would develop Alzheimer's disease (AD) in a group of 123 memory-impaired nondemented patients. Patients were followed longitudinally for 2 years with a research battery of neuropsychological tests. After 2 years, 29 developed probable AD, and 94 did not develop dementia. We used logistic regression analyses to examine the classification accuracy of subjects' performance at entry to the study on the research battery. The logistic regression model was significant with an accuracy of 89%, sensitivity of 76%, and specificity of 94%. Two tests contributed significantly to this model: the delayed recall from the Rey Auditory Verbal Learning Test and the Mental Control subtest of the Wechsler Memory Scale. These two tests alone produced the same accuracy, sensitivity, and specificity as the larger model. These results demonstrate that probable AD can be predicted with a high degree of accuracy and with a relatively brief battery of neuropsychological tests.
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Cited by
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Sheline, Y. I., Sanghavi, M., Mintun, M. A., & Gado, M. H. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-12-05034.1999 · Cited by 1,382
“In addition, in nondemented subjects who developed Alzheimer’s disease during longitudinal followup (Tierney et al., 1996), the single biggest neuropsychological predictor was the AVLT score.”
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Metadata
- Authors
- Tierney, M. C., Szalai, J. P., Snow, W. G., Fisher, R. H., Nores, A., Nadon, G., Dunn, E., & St. George-Hyslop, P. H.
- Venue
- Neurology
- Published
- 1996-03
- Volume
- 46
- Issue
- 3
- Pages
- 661-665
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2025290060
- Cited by
- 575
- References
- 0
- FWCI
- 13.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Prediction of probable Alzheimer's disease in memory-impaired patients: A prospective longitudinal study. https://app.cochat.ai/papers/10.1212/wnl.46.3.661
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- Tierney, M. C., Szalai, J. P., Snow, W. G., Fisher, R. H., Nores, A., Nadon, G., Dunn, E., & St. George-Hyslop, P. H. (1996). Prediction of probable Alzheimer's disease in memory-impaired patients: A prospective longitudinal study. Neurology. https://doi.org/10.1212/wnl.46.3.661
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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