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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
MMSE in primary care practice: why good tests can mislead in the wrong context
Carla Tortora1,2,3, Laetitia Teixeira4,5, Susana Sousa4,5
1Department of Psychology, University "G. d'Annunzio" of Chieti-Pescara, Via Dei Vestini 31, Chieti, Italy. carla.tortora@unich.it.
The Mini-Mental State Examination (MMSE) shows modest accuracy in diagnosing dementia in primary care, often producing false positives. Its effectiveness is influenced by dementia prevalence, impacting diagnostic reliability.
Area of Science:
- Gerontology
- Cognitive Neuroscience
- Clinical Psychology
Background:
- The Mini-Mental State Examination (MMSE) is a common cognitive screening tool used globally, particularly in primary care settings.
- Assessing its diagnostic performance is crucial for accurate dementia detection in diverse populations.
Purpose of the Study:
- To evaluate the diagnostic accuracy of the MMSE in community-dwelling older adults.
- To compare the MMSE's performance with different cutoff scores against clinical diagnoses and dementia severity levels.
Main Methods:
- A cohort of 390 older adults (aged 65-98) underwent the MMSE and clinical assessment.
- Receiver operating characteristic (ROC) analysis was used to determine the area under the curve (AUC).
- Sensitivity, specificity, and predictive values were calculated for MMSE cutoff scores of 21 and 24.
Main Results:
- The MMSE achieved an AUC of .75, indicating moderate diagnostic ability.
- A cutoff of 21 yielded a sensitivity of .77 and specificity of .65; a cutoff of 24 yielded sensitivity of .50 and specificity of .82.
- The MMSE identified severe dementia cases effectively but had lower accuracy for mild cases, unlike the Quick Mild Cognitive Impairment screen (Qmci).
- In primary care, the MMSE demonstrated modest diagnostic reliability, with a significant number of false positives when dementia prevalence is low.
Conclusions:
- The MMSE's diagnostic accuracy is influenced by the prevalence of dementia in the screened population.
- The study challenges the assumption of a low false-positive rate for the MMSE in primary care settings.
- Considering prevalence is essential for interpreting MMSE results, especially positive predictive values, to ensure reliable dementia screening.
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