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Updated: May 23, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Age and rate of cognitive decline in Alzheimer disease: implications for clinical trials
Charles Bernick1, Jeffrey Cummings, Rema Raman
1Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, Nevada 89106, USA. bernicc@ccf.org
Background:
Factors that affect the rate of progression of Alzheimer disease (AD) need to be considered in the clinical trial designs of potential disease-modifying therapies.
Objective:
To determine the influence of age on AD course in a clinical trial setting.
Design:
Pooled cohort study from 3 AD clinical trials of 18-month duration conducted by the Alzheimer Disease Cooperative Study group.
Setting:
Alzheimer disease research centers from across the United States.
Patients:
Four hundred seventy-one subjects with mild to moderate AD assigned to the placebo arm of 3 clinical trials.
Main Outcome Measures:
The relationships between baseline age and rate of change in the Alzheimer Disease Assessment Scale–cognitive subscale (ADAS-cog) 11, Mini-Mental State Examination, Clinical Dementia Rating scale Sum of Boxes score, Alzheimer Disease Cooperative Study–activities of daily living scale, and Neuropsychiatric Inventory were analyzed using a mixed-effect regression model. Sample size calculation for possible future AD clinical trials lasting 18 months using the results of the change in ADAS-cog 11 by tertiles of age groups.
Results:
Older age at baseline was associated with a slower rate of decline in the ADAS-cog 11 and the Mini-Mental State Examination scores. Almost twice as many subjects aged 80 years and older compared with those aged younger than 70 years would be required to demonstrate a 30% treatment effect on the ADAS-cog 11 in an 18-month AD trial.
Conclusion:
Subject age is an important factor to consider when defining the study population in and analyzing data from AD trials of potential disease-modifying therapies.
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