Volume 7, Issue 2 , Pages 151-160, March 2011
Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database
Abstract
Background
A mathematical model was developed to describe the longitudinal response in Alzheimer's Disease Assessment Scale-cognitive (ADAS-cog) obtained from the Alzheimer's Disease Neuroimaging Initiative.
Methods
The model was fit to the longitudinal ADAS-cog scores from 817 patients. Risk factors (age, apolipoprotein ɛ4 [APOE ɛ4] genotype, gender, family history of AD, years of education) and baseline severity were tested as covariates.
Results
Rate of disease progression increased with baseline severity. Age, APOE ɛ4 genotype, and gender were identified as potential covariates influencing disease progression. The rate of disease progression in patients with mild to moderate AD was estimated as approximately 5.5 points/yr.
Conclusions
A disease progression model adequately described the natural decline of ADAS-cog observed in Alzheimer's Disease Neuroimaging Initiative. Baseline severity is an important covariate to predict a curvilinear rate of disease progression in normal elderly, mild cognitive impairment, and AD patients. Age, APOE ɛ4 genotype, and gender also influence the rate of disease progression.
Keywords: Disease progression model, Natural history, ADAS-cog, MCI, Alzheimer's disease, Age, APOE ɛ4 genotype
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Alzheimer's Disease Neuroimaging Initiative: Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu\ADNI). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. ADNI investigators include (complete listing available at www.loni.ucla.edu\ADNI\Collaboration\ADNI_Authorship_list.pdf).
PII: S1552-5260(10)00103-2
doi:10.1016/j.jalz.2010.03.018
© 2011 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.
Volume 7, Issue 2 , Pages 151-160, March 2011
