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Updated: May 20, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The reliability and validity of the mini-mental state examination in the elderly Croatian population
Marina Boban1, Branko Malojčić, Ninoslav Mimica
1Department of Cognitive Neurology, University Hospital Centre, Zagreb, Croatia. maboban@mef.hr
Aim:
The aim of this study was standardization and validation of the Mini-Mental State Examination (MMSE) in the general Croatian aging population.
Methods:
Three-hundred and forty-four participants underwent the MMSE test, 217 cognitively healthy subjects without neurological and psychiatric disorders and 127 patients with mild cognitive impairment (MCI) or dementia.
Results:
The optimal cutoff point for screening of the general Croatian population (cognitively healthy vs. MCI and dementia) is 26/27; in the Croatian population aged ≥65 years, the cutoff point is 24/25, whereas for screening of highly educated persons (≥14 years of education) aged ≥65 years a higher cutoff point should be used (26/27).
Conclusions:
MMSE results when standardized and validated in a certain population might better contribute to recognition of the individuals at risk that should be directed to dementia outpatient clinics.
