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Comparing measures of decline to dementia in amnestic MCI subjects in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set

Published online by Cambridge University Press:  16 April 2012

Sarah E. Monsell*
Affiliation:
National Alzheimer's Coordinating Center, University of Washington, Seattle, Washington, USA
Danping Liu
Affiliation:
National Alzheimer's Coordinating Center, University of Washington, Seattle, Washington, USA
Sandra Weintraub
Affiliation:
Cognitive Neurology and Alzheimer's Disease Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
Walter A. Kukull
Affiliation:
National Alzheimer's Coordinating Center, University of Washington, Seattle, Washington, USA Department of Epidemiology, University of Washington, Seattle, Washington, USA
*
Correspondence should be addressed to: Sarah E. Monsell, MS, National Alzheimer's Coordinating Center, University of Washington, 4311 11th Ave NE #300, Campus box 354983 Seattle, WA 98105, USA. Phone: +1 206-616-6208; Fax: +1 206-616-5927. Email: smonsell@uw.edu.

Abstract

Background: Many studies have investigated factors associated with the rate of decline and evolution from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia in elderly patients. In this analysis, we compared the rates of decline to dementia estimated from three common global measures of cognition: Mini-Mental State Examination (MMSE) score, Clinical Dementia Rating sum of boxes (CDR-SB) score, and a neuropsychological tests composite score (CS).

Methods: A total of 2,899 subjects in the National Alzheimer's Coordinating Center Uniform Data Set aged 65+ years diagnosed with amnestic mild cognitive impairment (aMCI) were included in this analysis. Population-averaged decline to dementia rates was estimated and compared for standardized MMSE, CDR-SB, and CS using Generalized Estimating Equations (GEE). Associations between rate of decline and several potential correlates of decline were also calculated and compared across measures.

Results: The CDR-SB had the steepest estimated slope, with a decline of 0.49 standard deviations (SD) per year, followed by the MMSE with 0.22 SD per year, and finally the CS with 0.07 SD per year. The rate of decline of the three measures differed significantly in a global test for differences (p < 0.0001). Age at visit, body mass index (BMI) at visit, Apolipoprotein E (APOE) ɛ4 allele status, and race (black vs. white) had significantly different relationships with rate of decline in a global test for difference among the three measures.

Conclusions: These results suggest that both the rate of decline and the effects of AD risk factors on decline to dementia can vary depending on the evaluative measure used.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2012

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References

Albert, M. S., Moss, M. B., Tanzi, R. and Jones, K. (2001). Preclinical prediction of AD using neuropsychological tests. Journal of the International Neuropsychological Society, 7, 631639.CrossRefGoogle ScholarPubMed
Beekly, D. L. et al. (2007). The National Alzheimer's Coordinating Center (NACC) database: the Uniform Data Set. Alzheimer Disease and Associated Disorders, 21, 249258.CrossRefGoogle ScholarPubMed
Clarke, D. E., Ko, J. Y., Lyketsos, C., Rebok, G. W. and Eaton, W. W. (2010). Apathy and cognitive and functional decline in community-dwelling older adults: results from the Baltimore ECA longitudinal study. International Psychogeriatrics, 22, 819829.CrossRefGoogle Scholar
Cosentino, S. et al. (2008). APOE epsilon 4 allele predicts faster cognitive decline in mild Alzheimer disease. Neurology, 70, 18421849.CrossRefGoogle ScholarPubMed
Cronk, B. B., Johnson, D. K. and Burns, J. M. (2010). Body mass index and cognitive decline in mild cognitive impairment. Alzheimer Disease and Associated Disorders, 24, 126130.CrossRefGoogle Scholar
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle Scholar
Hubbard, A. E. et al. (2010). To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology, 21, 467474.CrossRefGoogle ScholarPubMed
Kaplan, E., Goodglass, H. and Weintraub, S. (1983). The Boston Naming Test. Philadelphia, PA: Lea and Febiger.Google Scholar
Landau, S. M. et al. (2010). Comparing predictors of conversion and decline in mild cognitive impairment. Neurology, 75, 230238.CrossRefGoogle ScholarPubMed
Liang, K. Y. and Zeger, S. (1973). Longitudinal data analysis using generalized linear models. Biometrika, 1, 1322.Google Scholar
Little, R. J. A. and Rubin, D. B. (1987). Statistical Analysis with Missing Data. New York: J. Wiley & Sons.Google ScholarPubMed
Morris, J. C. (1993). The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology, 43, 24122414.CrossRefGoogle ScholarPubMed
Morris, J. C. et al. (1989). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer's disease. Neurology, 39, 11591165.Google Scholar
Morris, J. C. et al. (2001). Mild cognitive impairment represents early-stage Alzheimer disease. Archives of Neurology, 58, 397405.CrossRefGoogle ScholarPubMed
Petersen, R. C. (2004). Mild cognitive impairment as a diagnostic entity. Journal of Internal Medicine, 256, 183194.CrossRefGoogle ScholarPubMed
Petersen, R. C. et al. (2001). Current concepts in mild cognitive impairment. Archives of Neurology, 58, 19851992.CrossRefGoogle ScholarPubMed
R Development Core Team (2008). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.Google Scholar
Reisberg, B. (2007). Global measures: utility in defining and measuring treatment response in dementia. International Psychogeriatrics, 19, 421456.CrossRefGoogle Scholar
Reitan, R. and Wolfson, D. (1993). The Halstead-Reitan Neuropsychological Test Battery: Theory and Clinical Interpretation. Tucson, AZ: Neuropsychology Press.Google Scholar
Rubin, D. B. and Schenker, N. (1991). Multiple imputation in health-care databases: an overview and some applications. Statistics in Medicine, 10, 585598.CrossRefGoogle ScholarPubMed
Storandt, M., Grant, E. A., Miller, J. P. and Morris, J. C. (2002). Rates of progression in mild cognitive impairment and early Alzheimer's disease. Neurology, 59, 10341041.CrossRefGoogle ScholarPubMed
van Buuren, S. (2007). Multiple imputation of discrete and continuous data by fully conditional specification. Statistical Methods in Medical Research, 16, 219242.CrossRefGoogle ScholarPubMed
Wechsler, D. (1981). Wechsler Adult Intelligence Scale – Revised. San Antonio, TX: Psychological Corporation.Google Scholar
Wechsler, D. (1987). Wechsler Memory Scale – Revised Manual. San Antonio, TX: Psychological Corporation.Google Scholar
Weintraub, S. et al. (2009). The Alzheimer's Disease Centers’ Uniform Data Set (UDS): the neuropsychologic test battery. Alzheimer Disease and Associated Disorders, 23, 91101.CrossRefGoogle ScholarPubMed
Whitehair, D. C. et al. (2010). Influence of apolipoprotein E varepsilon4 on rates of cognitive and functional decline in mild cognitive impairment. Alzheimers & Dementia, 6, 412419.CrossRefGoogle ScholarPubMed
Wilkosz, P. A. et al. (2010). Trajectories of cognitive decline in Alzheimer's disease. International Psychogeriatrics, 22, 281290.CrossRefGoogle ScholarPubMed
Wilson, R. S., Leurgans, S. E., Boyle, P. A., Schneider, J. A. and Bennett, D. A. (2010). Neurodegenerative basis of age-related cognitive decline. Neurology, 75, 10701078.CrossRefGoogle ScholarPubMed
Wilson, R. S., Leurgans, S. E., Boyle, P. A. and Bennett, D. A. (2011). Cognitive decline in prodromal Alzheimer disease and mild cognitive impairment. Archives of Neurology, 68, 351356.CrossRefGoogle ScholarPubMed
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