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      A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test

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          Abstract

          Background

          Incorporating cognitive testing into routine clinical practice is a challenge in multiple sclerosis (MS), given the wide spectrum of both cognitive and physical impairments people can have and the time that testing requires. Shortened paper and verbal assessments predominate but still are not used routinely. Computer-based tests are becoming more widespread; however, changes in how a paper test is implemented can impact what exactly is being assessed in an individual. The Symbol Digit Modalities Test (SDMT) is one validated test that forms part of the cognitive batteries used in MS and has some computer-based versions. We developed a tablet-based SDMT variant that has the potential to be ultimately deployed to patients’ own devices.

          Objective

          This paper aims to develop, validate, and deploy a computer-based SDMT variant, the Cognition Reaction (CoRe) test, that can reliably replicate the characteristics of the paper-based SDMT.

          Methods

          We carried out analysis using Pearson and intraclass correlations, as well as a Bland-Altman comparison, to examine consistency between the SDMT and CoRe tests and for test-retest reliability. The SDMT and CoRe tests were evaluated for sensitivity to disability levels and age. A novel metric in CoRe was found: question answering velocity could be calculated. This was evaluated in relation to disability levels and age for people with MS and compared with a group of healthy control volunteers.

          Results

          SDMT and CoRe test scores were highly correlated and consistent with 1-month retest values. Lower scores were seen in patients with higher age and some effect was seen with increasing disability. There was no learning effect evident. Question answering velocity demonstrated a small increase in speed over the 90-second duration of the test in people with MS and healthy controls.

          Conclusions

          This study validates a computer-based alternative to the SDMT that can be used in clinics and beyond. It enables accurate recording of elements of cognition relevant in MS but offers additional metrics that may offer further value to clinicians and people with MS.

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          Most cited references32

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          Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

          J. Kurtzke (1983)
          One method of evaluating the degree of neurologic impairment in MS has been the combination of grades (0 = normal to 5 or 6 = maximal impairment) within 8 Functional Systems (FS) and an overall Disability Status Scale (DSS) that had steps from 0 (normal) to 10 (death due to MS). A new Expanded Disability Status Scale (EDSS) is presented, with each of the former steps (1,2,3 . . . 9) now divided into two (1.0, 1.5, 2.0 . . . 9.5). The lower portion is obligatorily defined by Functional System grades. The FS are Pyramidal, Cerebellar, Brain Stem, Sensory, Bowel & Bladder, Visual, Cerebral, and Other; the Sensory and Bowel & Bladder Systems have been revised. Patterns of FS and relations of FS by type and grade to the DSS are demonstrated.
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            Data Structures for Statistical Computing in Python

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              Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis

              Cognitive and motor performance measures are commonly employed in multiple sclerosis (MS) research, particularly when the purpose is to determine the efficacy of treatment. The increasing focus of new therapies on slowing progression or reversing neurological disability makes the utilization of sensitive, reproducible, and valid measures essential. Processing speed is a basic elemental cognitive function that likely influences downstream processes such as memory. The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) includes representatives from advocacy organizations, Food and Drug Administration (FDA), European Medicines Agency (EMA), National Institute of Neurological Disorders and Stroke (NINDS), academic institutions, and industry partners along with persons living with MS. Among the MSOAC goals is acceptance and qualification by regulators of performance outcomes that are highly reliable and valid, practical, cost-effective, and meaningful to persons with MS. A critical step for these neuroperformance metrics is elucidation of clinically relevant benchmarks, well-defined degrees of disability, and gradients of change that are deemed clinically meaningful. This topical review provides an overview of research on one particular cognitive measure, the Symbol Digit Modalities Test (SDMT), recognized as being particularly sensitive to slowed processing of information that is commonly seen in MS. The research in MS clearly supports the reliability and validity of this test and recently has supported a responder definition of SDMT change approximating 4 points or 10% in magnitude.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                September 2020
                23 September 2020
                : 22
                : 9
                : e18234
                Affiliations
                [1 ] Population Data Science Swansea University Medical School Swansea University Swansea United Kingdom
                [2 ] Department of Neurology Morriston Hospital Swansea Bay National Health Service Trust Swansea United Kingdom
                [3 ] Department of Neurology Charing Cross Hospital Imperial College London London United Kingdom
                Author notes
                Corresponding Author: Rod M Middleton r.m.middleton@ 123456swansea.ac.uk
                Author information
                https://orcid.org/0000-0002-2130-4420
                https://orcid.org/0000-0002-2712-0200
                https://orcid.org/0000-0001-5898-9462
                https://orcid.org/0000-0002-3432-9942
                https://orcid.org/0000-0003-0757-3664
                https://orcid.org/0000-0002-4360-5208
                https://orcid.org/0000-0003-1424-0411
                https://orcid.org/0000-0003-1345-0791
                https://orcid.org/0000-0002-6350-5984
                https://orcid.org/0000-0001-6324-414X
                https://orcid.org/0000-0001-6551-721X
                https://orcid.org/0000-0003-0414-1225
                Article
                v22i9e18234
                10.2196/18234
                7542403
                32965240
                6b3ae63b-da9a-4b06-98c8-6d89b3dff5ca
                ©Rod M Middleton, Owen R Pearson, Gillian Ingram, Elaine M Craig, William J Rodgers, Hannah Downing-Wood, Joseph Hill, Katherine Tuite-Dalton, Christopher Roberts, Lynne Watson, David V Ford, Richard Nicholas, UK MS Register Research Group. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 23.09.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 13 February 2020
                : 12 June 2020
                : 6 July 2020
                : 2 August 2020
                Categories
                Original Paper
                Original Paper

                Medicine
                cognition,multiple sclerosis,ehealth,electronic assessment,patient reported outcomes,neurology

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