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Detection of dementia of the Alzheimer type in a population-based sample: Neuropsychological test performance

Published online by Cambridge University Press:  26 February 2009

Deborah A. Cahn
Affiliation:
Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093 Department of Psychology, San Diego State University, San Diego, CA 92182
David P. Salmon
Affiliation:
Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093-0948
Nelson Butters
Affiliation:
Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093
Wigbert C. Wiederholt
Affiliation:
Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093-0948
Jody Corey-Bloom
Affiliation:
Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093-0948
Sharon L. Edelstein
Affiliation:
Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA 92093
Elizabeth Barrett-Connor
Affiliation:
Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA 92093

Abstract

The ability to detect dementia of the Alzheimer type (DAT) in a community-dwelling sample of elderly individuals on the basis of neuropsychological test performance was examined. Three hundred sixty community-dwelling individuals were identified by neurological examination as having probable or possible Alzheimer’s disease, being at risk for Alzheimer’s disease, or having no cognitive impairment. A logistic model comprised of tests of verbal and nonverbal memory, mental flexibility, and confrontation naming correctly classified 82% of DAT subjects and 98% of normal elderly subjects. The logistic model classified 77% of subjects who were diagnosed as at risk for Alzheimer's disease as being cognitively normal. A cross-validation with a clinically based sample of subjects correctly classified 89% of DAT patients and 100% of normal control subjects. The results suggest that psychometric discrimination of dementia may be less accurate in community-dwelling populations than in clinically based samples. (JINS, 1995, I, 252–260.)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 1995

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References

Beardsall, L. & Huppert, F.A. (1991). A comparison of clinical, psychometric and behavioural memory tests: Findings from a community study of the early detection of dementia. International Journal of Geriatric Psychiatry, 6, 295306.CrossRefGoogle Scholar
Benton, A.L. (1974). Revised Visual Retention Test: Clinical and experimental application (4th ed.). New York: The Psychological Corporation.Google Scholar
Benton, A.L. & Hamsher, K. (1978). Multilingual Aphasia Examination. lowa City: University of lowa Hospitals.Google Scholar
Benton, A.L., Hamsher, K., & Varney, N.R. (1983). Contributions to neuropsychological assessment. New York: Oxford University Press.Google Scholar
Borkowski, J.G., Benton, A.L., & Spreen, O. (1967). Word fluency and brain damage. Neuropsychologia, 5, 135140.CrossRefGoogle Scholar
Butters, N., Granholm, E., Salmon, D.P., Grant, I., & Wolfe, J. (1987). Episodic and semantic memory: A comparison of amnesic and demented patients. Journal of Clinical and Experimental Neuropsychology, 9, 479497.CrossRefGoogle ScholarPubMed
Christensen, H., Hadzi-Pavlovic, D., & Jacomb, P. (1991). The psychometric differentiation of dementia from normal aging: A meta-analysis. Psychological Assessment, 3, 147155.CrossRefGoogle Scholar
Criqui, M.H., Barrett-Connor, E., & Austin, M. (1978). Differences between respondents and non-respondents in a population-based cardiovascular disease study. American Journal of Epidemiology, 108, 367372.CrossRefGoogle Scholar
Eslinger, P.J., Damasio, A.R., Benton, A.L., & Allen, M.V. (1985). Neuropsychological detection of abnormal mental decline in older persons. Journal of the American Medical Association, 253, 670674.CrossRefGoogle ScholarPubMed
Goodglass, H. & Kaplan, E. (1972). The assessment of aphasias and related disorders. Philadelphia: Lea and Febiger.Google Scholar
Hill, L.R., Klaubcr, M.R., Salmon, D.P., Yu, E., Liu, W.T., Zhang, M., & Katzman, R. (1993). Functional status, education, and the diagnosis of dementia in the Shanghai survey. Neurology, 43, 138145.CrossRefGoogle ScholarPubMed
Hodges, J.R., Salmon, D.P., & Butters, N. (1991). The nature of the naming deficit in Alzheimer's and Huntington's disease. Brain, 114, 15471558.CrossRefGoogle ScholarPubMed
Hosmer, D.W. & Lemeshow, S. (1989). Applied Logistic Regression. New York: John Wiley & Sons.Google Scholar
Jacobs, D., Salmon, D.P., Tröster, A.I., & Butters, N. (1990). Intrusion errors in the figural memory of patients with Alzheimer's and Huntington's disease. Archives of Clinical Neuropsychology, 5, 4957.CrossRefGoogle ScholarPubMed
Kaplan, E., Goodglass, H., & Wcintraub, S. (1983). The Boston Naming Test. Philadelphia: Lea & Febiger.Google Scholar
Mattis, S. (1976). Mental status examination for organic mental syndrome in the elderly patient. In Bellak, R. & Karusu, B. (Eds.), Geriatric psychiatry: A handbook for psychiatrists and primary care physicians (pp. 77121). New York: Grune & Stratton.Google Scholar
McKhann, G., Drachman, D., Folstein, M., Katzaṁn, R., Price, D., & Stradlan, E.M. (1984). Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA work group under the auspices of department of health and human services task force on Alzheimer's disease. Neurology, 34, 939944.CrossRefGoogle ScholarPubMed
Monsch, A.U., Bondi, M.W., Butters, N., Salmon, D.P., Katzman, R., & Thal, L.J. (1992). Comparisons of verbal fluency tasks in the detection of dementia of the Alzheimer type. Archives of Neurology, 49, 12531258.CrossRefGoogle ScholarPubMed
Morris, J.C., Heyman, A., & Mohs, R.C. (1989). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Neurology, 39, 11591165.Google ScholarPubMed
Mossman, D. & Somoza, E. (1991). ROC curves, test accuracy, and the description of diagnostic tests. Journal of Neuropsychiatry and Clinical Neurosciences, 3, 330333.Google ScholarPubMed
Pfeffer, R.I., Kurosaki, T.T., & Harrah, C.H. (1981). A survey diagnostic tool for senile dementia. American Journal of Epidemiology, 114, 515527.CrossRefGoogle ScholarPubMed
Reitan, R. (1958). Validity of the trail-making test as an indicator of organic brain disease. Perceptual and Motor Skills, 8, 271276.CrossRefGoogle Scholar
Rouleau, I., Salmon, D.P., Butters, N., Kennedy, C., & McGuire, K. (1992). Quantitative and qualitative analyses of clock drawings in Alzheimer's and Huntington's disease. Brain and Cognition, 18, 7087.CrossRefGoogle ScholarPubMed
Russell, E.W. (1975). A multiple scoring method for the assessment of complex memory functions. Journal of Consulting and Clinical Psychology, 43, 800809.CrossRefGoogle Scholar
Salmon, D.P. & Butters, N. (1992). Neuropsychologic assessment of dementia in the elderly. In Katzman, R. & Rowe, J. (Eds.), Principles of geriatric neurology (pp. 144163). Philadelphia: F. A. Davis.Google Scholar
Scherr, P.A., Albert, M.S., Funkenstein, H.H., Cook, N.R., Hennekens, C.H., Branch, L.G., White, L.R., Taylor, J.O., & Evans, D.A. (1988). Correlates of cognitive function in an elderly community population. American Journal of Epidemiology, 128, 10841101.CrossRefGoogle Scholar
Somoza, E. & Mossman, D. (1991). ROC curves and the binormal assumption. Journal of Neuropsychiatry and Clinical Neurosciences, 3, 436439.Google ScholarPubMed
Storandt, M., Botwinick, J., Danziger, W.L., Berg, L., & Hughes, C.P. (1984). Psychometric differentiation of mild senile dementia of the Alzheimer type. Archives of Neurology, 41, 497499.CrossRefGoogle ScholarPubMed
Storandt, M. & Hill, R.D. (1989). Very mild senile dementia of the Alzheimer type: Psychometric test performance. Archives of Neurology, 46, 383386.CrossRefGoogle ScholarPubMed
Thurstone, L.L. & Thurstone, T.G. (1949). Examiner Manual for the SRA Primary Mental Abilities Test. Chicago: Science Research Associates.Google Scholar
Tröster, A.I., Butters, N., Salmon, D.P., Cullum, C.., Jacobs, D., Brandt, J., & White, R.F. (1993). The diagnosticutility of savings scores: Differentiating Alzheimer's and Huntington's diseases with the Logical Memory and Visual Reproduction Tests. Journal of Clinical and Experimental Neuropsychology, 15, 773788.CrossRefGoogle ScholarPubMed
Wechsler, D. (1945). A standardized memory scale for clinical use. Journal of Psychology, 19, 8795.CrossRefGoogle Scholar
Wechsler, D. (1981). Manual for the Wechsler Adult Intelligence Scale-Revised. New York: The Psychological Corporation.Google Scholar
Welsh, K.A., Butters, N., Hughes, J., Mohs, R., & Heyman, A. (1991). Detection of abnormal memory decline in mild cases of Alzheimer's disease using CERAD neuropsychological measures. Archives of Neurology, 48, 278281.CrossRefGoogle ScholarPubMed
Welsh, K.A., Butters, N., Hughes, J., Mohs, R., & Heyman, A. (1992). Detection and staging of dementia in Alzheimer's disease: Use of the neuropsychological measures developed for the Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Archives of Neurology, 49, 448452.CrossRefGoogle Scholar
Wiederholt, W.C., Cahn, D.A., Salmon, D.P., Butters, N., Kritz-Silverstein, D. & Barrett-Connor, E. (1993). The ef- edfects of age, education, and gender in an elderly community cohort. Journal of the American Geriatric Society, 41, 639647.CrossRefGoogle Scholar
Zhang, M., Katzman, R., Salmon, D., Jin, H., Cai, G., Wang, Z., Qu, G., Grant, I., Yu, E., Levy, P., Klauber, M., & Liu, W.T. (1990). The prevalence of dementia and Alzheimer's dis- ease in Shanghai, China: The impact of age, gender, and edfectsucation. Annals of Neurology, 27, 428437.CrossRefGoogle Scholar