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Updated: Sep 27, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Exploration of salient risk factors involved in mild cognitive impairment
Alexandria D Samson1,2, Kelly Shen1,3, Cheryl L Grady1,2,4
1Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.
Abstract:
Mild cognitive impairment (MCI) is a prevalent and complex condition among older adults that often progresses into Alzheimer's disease (AD). Although MCI affects individuals differently, there are specific indicators of risk commonly associated with the development of MCI. The present study explored the prevalence of seven established MCI risk categories within a large sample of older adults with and without MCI. We explored trends across the different diagnostic groups and extracted the most salient risk factors related to MCI using partial least squares. Neuropsychological risk categories showed the largest differences across groups, with the cognitively unimpaired groups outperforming the MCI groups on all measures. Apolipoprotein E4 (ApoE4) carriers were significantly more common among the more severe MCI group, whereas ApoE4 non-carriers were more common in the healthy controls. Participants with subjective and objective cognitive impairment were trending towards AD-like cerebral spinal fluid (CSF) biomarker levels. Increased age, being male and having fewer years of education were identified as important risk factors of MCI. Higher CSF tau levels were correlated with ApoE4 carrier status, age and a decrease in the ability to carry out daily activities across all diagnostic groups. Amyloid beta1-42 CSF concentration was positively correlated with cognitive and memory performance and non-ApoE4 carrier status regardless of diagnostic status. Unlike previous research, poor cardiovascular health or being female had no relation to MCI. Altogether, the results highlighted risk factors that were specific to persons with MCI, findings that will inform future research in healthy aging, MCI and AD.
Insights
This study identified key risk factors for mild cognitive impairment (MCI) in older adults, finding age, male sex, and education level are significant. Apolipoprotein E4 (ApoE4) status and cognitive performance also play crucial roles in MCI development and progression.
Area of Science:
- Neuroscience
- Gerontology
- Neurology
Background:
- Mild cognitive impairment (MCI) is a common condition in older adults, often preceding Alzheimer's disease (AD).
- Understanding MCI risk factors is crucial for early intervention and developing targeted therapies.
- Individual experiences of MCI vary, necessitating research into specific risk indicators.
Purpose of the Study:
- To investigate the prevalence of seven established MCI risk categories in older adults.
- To identify salient risk factors associated with MCI using statistical analysis.
- To explore differences in risk factor profiles between cognitively unimpaired and MCI groups.
Main Methods:
- Analysis of a large sample of older adults, categorized as cognitively unimpaired or with MCI.
- Application of partial least squares to identify significant risk factors.
- Assessment of neuropsychological measures, Apolipoprotein E4 (ApoE4) status, and cerebrospinal fluid (CSF) biomarkers (tau and amyloid beta).
Main Results:
- Neuropsychological deficits were more pronounced in MCI groups compared to controls.
- Apolipoprotein E4 (ApoE4) carriers were more prevalent in severe MCI, while non-carriers were common in healthy controls.
- Increased age, male sex, and lower education were identified as key MCI risk factors. Higher CSF tau correlated with ApoE4, age, and functional decline. Amyloid beta correlated positively with cognitive performance and non-ApoE4 status.
Conclusions:
- Specific risk factors, including age, sex, education, ApoE4 status, and CSF biomarkers, are strongly associated with MCI.
- Findings differentiate MCI from healthy aging and suggest potential biomarkers for AD progression.
- Results provide valuable insights for future research in healthy aging, MCI, and Alzheimer's disease.
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