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Updated: Apr 29, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Progression from mild cognitive impairment to dementia: a 3-year longitudinal study
Henry Brodaty1, Michael H Connors2, David Ames3
1Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia h.brodaty@unsw.edu.au.
Objective:
To examine characteristics that predict the progression from mild cognitive impairment to dementia.
Methods:
Of 970 patients recruited from nine memory clinics around Australia, 185 had mild cognitive impairment diagnosed. Measures of cognitive ability, functional ability, and neuropsychiatric symptoms were completed at baseline and over 3 years of follow up.
Results:
Over 3 years, 52 (28%) patients with mild cognitive impairment developed dementia. Older age, lower cognitive ability at baseline, and faster decline in cognitive ability over the first 6 months of follow up, but not depression, predicted progression to dementia.
Conclusions:
The findings confirm that simple clinical data such as age, cognitive ability at baseline, and rate of cognitive decline are important predictors of progression from mild cognitive impairment to dementia over 3 years.
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