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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Recommendations for a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS)
D W Langdon1, M P Amato, J Boringa
1Royal Holloway, University of London, Surrey, UK. d.langdon@rhul.ac.uk
Multiple Sclerosis (Houndmills, Basingstoke, England)
|December 23, 2011
Summary
A brief cognitive assessment for multiple sclerosis (MS) was recommended, utilizing the Symbol Digit Modalities Test and other tools for international use. This approach addresses the need for accessible cognitive screening in MS care.
Area of Science:
- Neurology
- Neuropsychology
- Clinical Assessment
Background:
- Cognitive impairment is a significant issue in multiple sclerosis (MS) across all disease stages and subtypes.
- Comprehensive cognitive assessments are costly and require specialized resources, limiting their accessibility.
- Existing assessment tools lack availability in various languages and cultural contexts.
Framework:
- An expert committee evaluated cognitive assessment tools for MS based on psychometric qualities, international applicability, and ease of use.
- Literature review focused on scales targeting cognitive domains frequently affected by MS.
- Criteria included reliability, validity, sensitivity, international application, administration feasibility, and patient acceptability.
Implementation:
- The Symbol Digit Modalities Test (SDMT) is recommended for a 5-minute assessment.
- For a 15-minute assessment, the SDMT, California Verbal Learning Test - Second Edition (CVLT-II), and Brief Visuospatial Memory Test - Revised (BVMT-R) learning trials are suggested.
- This tiered approach allows flexibility based on available time and resources.
Implications:
- Provides a validated, brief cognitive assessment for MS suitable for centers with limited resources and non-specialist staff.
- Facilitates international application and standardization of cognitive screening in MS.
- A protocol for language and cultural validation is established, with ongoing studies to ensure global utility.
