TY - JOUR
T1 - Predicting rate of cognitive decline in probable Alzheimer's disease
AU - Rasmusson, D. Xeno
AU - Carson, Kathryn A.
AU - Brookmeyer, Ronald
AU - Kawas, Claudia
AU - Brandt, Jason
N1 - Funding Information:
Recent attempts to identify predictors of rate of decline in Alzheimer’s disease (AD) have been extremely variable in choice of outcome variables, predictor variables tested, timing of assessments, and statistical approaches. In this study, a ran- This research was supported by NIA Grants AG08327 and AG00149 and a grant from the Charles A. Dana Foundation. The authors thank Drs. Frederick Bylsma and Marshal Folstein and Ms. Cindy Steele for their contributions to the work reported here and Ms. Diane Martin for data collection. Address reprint requests to Jason Brandt, Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, 600 North Wolfe, Meyer 218, Baltimore, MD 21287-7218. E-mail: jbrandt@welchlink.welch.edu.jhu. 133
PY - 1996
Y1 - 1996
N2 - Recent attempts to identify predictors of rate of decline in Alzheimer's disease (AD) have been extremely variable in choice of outcome variables, predictor variables tested, timing of assessments, and statistical approaches. In this study, a random effects regression model was applied to seek predictors of decline on the Mini-Mental State Exam in 132 patients with probable AD reassessed every 6 months for up to 7.5 years. Potential predictor variables at baseline were of three types: patient characteristics, clinical variables, and cognitive performances. The final multivariate analysis indicated that the following characteristics predicted more rapid cognitive decline: more education, history of dementiain a first degree relative, non-right handedness, better performances on Boston Naming Test, Gollin Incomplete Figures Test, and Benton Visual Retenti on Test-Dalay, and worse performances on Responsive Naming Test, WAIS-R Block Design, and Benton Visual Retention Test-Copy. • 1996 Academic Press, Inc.
AB - Recent attempts to identify predictors of rate of decline in Alzheimer's disease (AD) have been extremely variable in choice of outcome variables, predictor variables tested, timing of assessments, and statistical approaches. In this study, a random effects regression model was applied to seek predictors of decline on the Mini-Mental State Exam in 132 patients with probable AD reassessed every 6 months for up to 7.5 years. Potential predictor variables at baseline were of three types: patient characteristics, clinical variables, and cognitive performances. The final multivariate analysis indicated that the following characteristics predicted more rapid cognitive decline: more education, history of dementiain a first degree relative, non-right handedness, better performances on Boston Naming Test, Gollin Incomplete Figures Test, and Benton Visual Retenti on Test-Dalay, and worse performances on Responsive Naming Test, WAIS-R Block Design, and Benton Visual Retention Test-Copy. • 1996 Academic Press, Inc.
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U2 - 10.1006/brcg.1996.0038
DO - 10.1006/brcg.1996.0038
M3 - Article
C2 - 8811989
AN - SCOPUS:0030184629
SN - 0278-2626
VL - 31
SP - 133
EP - 147
JO - Brain and Cognition
JF - Brain and Cognition
IS - 2
ER -