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Updated: Dec 11, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
MMSE Subscale Scores as Useful Predictors of AD Conversion in Mild Cognitive Impairment
Young Min Choe1,2, Boung Chul Lee2,3, Ihn-Geun Choi4
1Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Gyeonggi, Republic of Korea.
Purpose:
This study was performed to examine the usefulness of subscores on the Mini-Mental State Examination (MMSE) for predicting the progression of Alzheimer's disease (AD) dementia in individuals with mild cognitive impairment (MCI).
Patients And Methods:
A total of 306 MCI individuals in the Alzheimer's Disease Neuroimaging Initiative database were included in the study. Standardized clinical and neuropsychological tests were performed at baseline and at 2-year follow-up. Logistic regression analysis was conducted to examine the MMSE total and subscale scores to predict progression to AD dementia in MCI individuals.
Results:
The MMSE total score and the MMSE memory, orientation, and construction subscores were inversely associated with AD progression after controlling for all potential confounders; MMSE attention and language subscores were not correlated with AD progression. The MMSE delayed recall score among the MMSE memory subscores and the MMSE time score among the orientation subscores, especially week and day, were inversely associated with AD progression; the MMSE immediate recall and place scores were not correlated with progression.
Conclusion:
Our findings suggest that the MMSE memory, orientation, and construction subscores, which are simple and readily available clinical measures, could provide useful information to predict AD dementia progression in MCI individuals in practical clinical settings.
Insights
Subscores of the Mini-Mental State Examination (MMSE), specifically memory, orientation, and construction, can help predict Alzheimer's disease (AD) dementia progression in individuals with mild cognitive impairment (MCI). These simple measures offer valuable clinical insights.
Area of Science:
- Neuroscience
- Gerontology
- Clinical Neurology
Background:
- Alzheimer's disease (AD) dementia is a progressive neurodegenerative disorder.
- Mild cognitive impairment (MCI) is an intermediate stage between cognitive aging and dementia.
- Early prediction of AD dementia progression in MCI is crucial for timely intervention.
Purpose of the Study:
- To evaluate the utility of Mini-Mental State Examination (MMSE) subscores for predicting AD dementia progression in individuals with MCI.
- To determine which specific MMSE subscores are most effective in forecasting disease advancement.
Main Methods:
- Analysis of data from 306 individuals with MCI from the Alzheimer's Disease Neuroimaging Initiative database.
- Standardized clinical and neuropsychological testing at baseline and 2-year follow-up.
- Logistic regression analysis to assess the predictive power of MMSE total and subscale scores for AD dementia progression.
Main Results:
- The total MMSE score and its memory, orientation, and construction subscores were significantly associated with a lower risk of AD progression.
- MMSE subscores for attention and language did not show a correlation with AD progression.
- Specific components like delayed recall (memory) and time orientation (week, day) were key predictors within their respective subscores.
Conclusions:
- MMSE memory, orientation, and construction subscores are valuable and accessible tools for predicting AD dementia progression in MCI patients.
- These subscores can enhance clinical decision-making in identifying individuals at higher risk for progression.
- The findings support the integration of MMSE subscore analysis into routine clinical assessments for MCI management.
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