Predicting rate of cognitive decline in probable Alzheimer's disease

D. Xeno Rasmusson, Kathryn A. Carson, Ronald Brookmeyer, Claudia Kawas, Jason Brandt

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)133-147
Number of pages15
JournalBrain and Cognition
Volume31
Issue number2
DOIs
StatePublished - Jan 1 1996

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience

Fingerprint Dive into the research topics of 'Predicting rate of cognitive decline in probable Alzheimer's disease'. Together they form a unique fingerprint.

  • Cite this