publication . Article . 2010

Predicting progression of Alzheimer's disease

Doody, Rachelle S; Pavlik, Valory; Massman, Paul; Rountree, Susan; Darby, Eveleen; Chan, Wenyaw;
Open Access
  • Published: 01 Feb 2010 Journal: Alzheimer's Research & Therapy, volume 2, page 2 (issn: 1758-9193, Copyright policy)
  • Publisher: Springer Nature
Abstract
Introduction Clinicians need to predict prognosis of Alzheimer's disease (AD), and researchers need models of progression to develop biomarkers and clinical trials designs. We tested a calculated initial progression rate to see whether it predicted performance on cognition, function and behavior over time, and to see whether it predicted survival. Methods We used standardized approaches to assess baseline characteristics and to estimate disease duration, and calculated the initial (pre-progression) rate in 597 AD patients followed for up to 15 years. We designated slow, intermediate and rapidly progressing groups. Using mixed effects regression analysis, we exam...
Subjects
free text keywords: Cognitive Neuroscience, Neurology, Clinical Neurology, Research
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