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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
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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.
Georgian Medical News
|October 10, 2021
Summary
Cognitive impairment affects 42% of multiple sclerosis patients. Higher physical disability and a progressive disease course are key risk factors for this cognitive decline.
Area of Science:
- Neurology
- Neuroscience
- Clinical Psychology
Background:
- Multiple sclerosis (MS) is a chronic neurological disease.
- Cognitive impairment is a common and often debilitating symptom in MS patients.
- Understanding prevalence and risk factors is crucial for patient management.
Purpose of the Study:
- To determine the prevalence of cognitive impairment in a cohort of multiple sclerosis patients.
- To identify significant risk factors associated with cognitive decline in multiple sclerosis.
Main Methods:
- A cross-sectional study design was employed.
- Fifty-three patients with multiple sclerosis were assessed.
- Neurological status, cognitive function (Montreal Cognitive Assessment), and mental health (Beck Depression Inventory) were evaluated.
Main Results:
- The overall prevalence of cognitive impairment was found to be 42%.
- Higher levels of physical disability were significantly correlated with cognitive impairment.
- A progressive disease course was identified as another major risk factor for cognitive decline.
Conclusions:
- Cognitive impairment is highly prevalent in multiple sclerosis.
- Physical disability and disease progression are critical risk factors for cognitive impairment in MS.
- These findings highlight the need for early screening and intervention for cognitive deficits in MS patients.
