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Updated: Apr 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Dementia prediction for people with stroke in populations: is mild cognitive impairment a useful concept?
Blossom C M Stephan1, Thais Minett2, Graciela Muniz Terrera3
1Institute of Health and Society, Newcastle University, The Baddiley-Clark Building, Richardson Road Newcastle upon Tyne, NE2 4AX, UK.
Background:
criteria for mild cognitive impairment (MCI) capture an intermediate cognitive state between normal ageing and dementia, associated with increased dementia risk. Whether criteria for MCI are applicable in the context of stroke and can be used to predict dementia in stroke cases is not known.
Objectives:
to determine the prevalence of MCI in individuals with stroke and identify predictors of 2-year incident dementia in stroke cases.
Methods:
individuals were from the Medical Research Council Cognitive Function and Ageing Study. MCI prevalence in individuals with stroke was determined. Logistic regression, with receiver operating characteristic curve analysis, was used to identify variables associated with risk of dementia in stroke cases including MCI criteria, demographic, health and lifestyle variables.
Findings:
of 2,640 individuals seen at the first assessment, 199 reported stroke with no dementia. In individuals with stroke, criteria for MCI are not appropriate, with less than 1% of stroke cases being classified as having MCI. However, in individuals with stroke two components of the MCI definition, subjective memory complaint and cognitive function (memory and praxis scores) predicted 2-year incident dementia (area under the curve = 0.85, 95% CI: 0.77-0.94, n = 113).
Conclusion:
criteria for MCI do not appear to capture risk of dementia in the context of stroke in the population. In stroke cases, subjective and objective cognitive performance predicts dementia and these variables could possibly be incorporated into dementia risk models for stroke cases. Identifying individuals with stroke at greatest risk of dementia has important implications for treatment and intervention.
Insights
Mild cognitive impairment (MCI) criteria are not suitable for stroke patients. However, subjective memory complaints and cognitive function tests can predict dementia risk in stroke survivors.
Area of Science:
- Neurology
- Gerontology
- Cognitive Science
Background:
- Mild cognitive impairment (MCI) signifies a stage between normal aging and dementia, linked to increased dementia risk.
- The applicability of MCI criteria and their predictive value for dementia in stroke survivors remains unestablished.
Purpose of the Study:
- To ascertain the prevalence of MCI in individuals who have experienced a stroke.
- To identify predictors of dementia development within two years following a stroke.
Main Methods:
- Analysis of data from the Medical Research Council Cognitive Function and Ageing Study.
- Logistic regression and receiver operating characteristic curve analysis to identify dementia risk factors in stroke cases, including MCI criteria, demographics, health, and lifestyle variables.
Main Results:
- Among 2,640 participants, 199 reported stroke without dementia. Less than 1% of stroke cases met MCI criteria, indicating inappropriateness of standard criteria.
- Subjective memory complaints and cognitive function (memory and praxis scores) significantly predicted 2-year incident dementia in stroke cases (AUC = 0.85).
Conclusions:
- Standard MCI criteria do not effectively identify dementia risk in the stroke population.
- Subjective and objective cognitive performance in stroke survivors are key predictors of dementia, suggesting their potential inclusion in dementia risk models for this group.
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