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Updated: Oct 17, 2025
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
EVALUATION OF COGNITIVE IMPAIRMENT IN PATIENTS WITH MULTIPLE SCLEROSIS USING GEORGIAN LANGUAGE MONTREAL COGNITIVE
N Botchorishvili1, N Mikeladze2, A Dzagnidze3
11Tbilisi State Medical University;Georgia.
Abstract:
The main objective of the study was to evaluate the prevalence and risk factors of cognitive impairment in patients with multiple sclerosis. Fifty-three patients with multiple sclerosis were enrolled in this cross-sectional study. Study participants underwent neurological status examination and cognitive screening with Montreal Cognitive Assessment. Beck Depression Inventory was used to assess mental health. Statistical analysis was performed using SPSS software, version 26.0. The overall prevalence of cognitive impairment in our group was 42%. We found that higher physical disability and progressive disease course are main risk-factors for cognitive decline in patients with multiple sclerosis.
