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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Validation of a Mini-Mental State Examination (MMSE) for the Persian population: a pilot study
Noureddin Nakhostin Ansari1, Soofia Naghdi, Scott Hasson
1Faculty of Rehabilitation, Tehran University of Medical Sciences, Enghelab Ave., Pitch-e-shemiran, Tehran, Iran. nakhostin@sina.tums.ac.ir
Abstract:
The objective of the study was to develop and validate a translated and culturally adapted Mini-Mental State Examination (MMSE) for the Persian-speaking population. The MMSE was translated into Persian. Two groups of neurologically intact subjects (n = 100) and subjects with Alzheimer's disease (n = 13) were studied. The difference between groups on the mean total scores of the Persian MMSE was statistically significant (control = 28.62 +/- 2.09; subjects with Alzheimer's disease = 11.77 +/- 5.66; p < .001). The cutoff score of 23 was the best cutoff score for our subjects with a sensitivity and specificity of 98% and 100%, respectively. There was a significant correlation between the Persian MMSE score and the level of education (r = .46) and with age (r = -.77). There was no significant correlation between the Persian MMSE and gender. The Persian MMSE was found to be valid for discrimination of cognitive impairment in the Persian-speaking community.
