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Updated: Oct 21, 2025
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Transition from mild cognitive impairment to normal cognition: Determining the predictors of reversion with
Rubén Sanz-Blasco1, José M Ruiz-Sánchez de León1, Marina Ávila-Villanueva2
1Department of Experimental Psychology, Complutense University of Madrid (UCM), Madrid, Spain.
Introduction:
The theoretical framework of the Alzheimer's disease continuum considers transition between stages in a unidirectional manner. Here we examine the rate of reversion from mild cognitive impairment (MCI) to normal cognition (NC) and explore a set of potential variables associated with this phenomenon.
Methods:
A total of 985 Spanish community-dwelling individuals aged 70 years and over at baseline were monitored for 5 years. During this time, 173 MCI and 36 dementia cases were identified. Multi-state Markov models were performed to characterize transitions between states through the dementia continuum.
Results:
The rate of reversion from MCI to NC was 11%. There were significant non-modifiable (age, socioeconomic status, or apolipoprotein E) and modifiable factors (cognitive training or absence of affective symptoms) associated with reversion.
Discussion:
Overall, our results highlight that the likelihood of progression from MCI to dementia is very similar to that of reversion from MCI to NC.
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