Literature DB >> 28255581

Feasibility study for remote assessment of cognitive function in multiple sclerosis.

Michaela F George1, Calliope B Holingue1, Farren B S Briggs2, Xiaorong Shao1, Kalliope H Bellesis3, Rachel A Whitmer3, Catherine Schaefer3, Ralph Hb Benedict4, Lisa F Barcellos5.   

Abstract

BACKGROUND: Cognitive impairment is common in multiple sclerosis (MS), and affects employment and quality of life. Large studies are needed to identify risk factors for cognitive decline. Currently, a MS-validated remote assessment for cognitive function does not exist. Studies to determine feasibility of large remote cognitive function investigations in MS have not been published.
OBJECTIVE: To determine whether MS patients would participate in remote cognitive studies. We utilized the Modified Telephone Interview for Cognitive Status (TICS-M), a previously validated phone assessment for cognitive function in healthy elderly populations to detect mild cognitive impairment. We identified factors that influenced participation rates. We investigated the relationship between MS risk factors and TICS-M score in cases, and score differences between cases and control individuals.
METHODS: The TICS-M was administered to MS cases and controls. Linear and logistic regression models were utilized.
RESULTS: 11.5% of eligible study participants did not participate in cognitive testing. MS cases, females and individuals with lower educational status were more likely to refuse (p<0.001). Cases who did complete testing did not differ in terms of perceived cognitive deficit compared to cases that did participate. More severe disease, smoking, and being male were associated with a lower TICS-M score among cases (p<0.001). The TICS-M score was significantly lower in cases compared to controls (p=0.007).
CONCLUSIONS: Our results demonstrate convincingly that a remotely administered cognitive assessment is quite feasible for conducting large epidemiologic studies in MS, and lay the much needed foundation for future work that will utilize MS-validated cognitive measures.

Entities:  

Keywords:  Autoimmune disease; Case control studies; Cognitive impairment; HLA-DRB1; Multiple Sclerosis Severity Score; Multiple sclerosis; PDQ; TICS-M

Year:  2016        PMID: 28255581      PMCID: PMC5330281          DOI: 10.29245/2572.942x/2016/8.1084

Source DB:  PubMed          Journal:  J Neurol Neuromedicine        ISSN: 2572-942X


  34 in total

Review 1.  Cognition in multiple sclerosis.

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3.  Genome-wide association study of severity in multiple sclerosis.

Authors: 
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4.  Adverse socioeconomic position during the life course is associated with multiple sclerosis.

Authors:  Farren B S Briggs; Brigid S Acuña; Ling Shen; Kalliope H Bellesis; Patricia P Ramsay; Hong Quach; Allan Bernstein; Catherine Schaefer; Lisa F Barcellos
Journal:  J Epidemiol Community Health       Date:  2014-02-27       Impact factor: 3.710

5.  Utility of TICS-M for the assessment of cognitive function in older adults.

Authors:  Celeste A de Jager; Marc M Budge; Robert Clarke
Journal:  Int J Geriatr Psychiatry       Date:  2003-04       Impact factor: 3.485

6.  Multiple Sclerosis Severity Score: using disability and disease duration to rate disease severity.

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Journal:  Neurology       Date:  2005-04-12       Impact factor: 9.910

7.  A questionnaire to assess neurological impairment in multiple sclerosis.

Authors:  D S Goodin
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8.  Hereditary influences on cognitive functioning in older men. A study of 4000 twin pairs.

Authors:  J Brandt; K A Welsh; J C Breitner; M F Folstein; M Helms; J C Christian
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10.  Fine-mapping the genetic association of the major histocompatibility complex in multiple sclerosis: HLA and non-HLA effects.

Authors:  Nikolaos A Patsopoulos; Lisa F Barcellos; Rogier Q Hintzen; Catherine Schaefer; Cornelia M van Duijn; Janelle A Noble; Towfique Raj; Pierre-Antoine Gourraud; Barbara E Stranger; Jorge Oksenberg; Tomas Olsson; Bruce V Taylor; Stephen Sawcer; David A Hafler; Mary Carrington; Philip L De Jager; Paul I W de Bakker
Journal:  PLoS Genet       Date:  2013-11-21       Impact factor: 5.917

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  9 in total

1.  Remote assessment of verbal memory in MS patients using the California Verbal Learning Test.

Authors:  Lisa F Barcellos; Kalliope H Bellesis; Ling Shen; Xiaorong Shao; Terrence Chinn; Seth Frndak; Allison Drake; Nandini Bakshi; Jackie Marcus; Catherine Schaefer; Ralph Hb Benedict
Journal:  Mult Scler       Date:  2017-02-01       Impact factor: 6.312

2.  Managing Cognitive Dysfunction in Multiple Sclerosis: A Snapshot of Changes in Screening, Assessment, and Treatment Practices.

Authors:  Elizabeth S Gromisch; John DeLuca; Ralph H B Benedict; Frederick W Foley
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Review 4.  Disability Outcome Measures in Phase III Clinical Trials in Multiple Sclerosis.

Authors:  Bernard M J Uitdehaag
Journal:  CNS Drugs       Date:  2018-06       Impact factor: 5.749

Review 5.  Telemedicine as a strategic intervention for cognitive rehabilitation in MS patients during COVID-19.

Authors:  Fereshteh Ghadiri; Abdorreza Naser Moghadasi; Mohammad Ali Sahraian
Journal:  Acta Neurol Belg       Date:  2022-01-30       Impact factor: 2.471

6.  Longitudinal Trajectories of Participant- and Study Partner-Rated Cognitive Decline, in Relation to Alzheimer's Disease Biomarkers and Mood Symptoms.

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7.  Telephone-based assessment of multiple sclerosis patients at Ain Shams University Hospital in the coronavirus disease 2019 pandemic.

Authors:  Mohamed A Abdel Hafeez; Dina A Zamzam; Mahmoud S Swelam; Alaa Abo Steit; Janet Masoud; Azza Abdel Nasser; Ahmed Hazzou; Eman Hamid; Hany Aref; Magd F Zakaria; Mohamed M Fouad
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Review 8.  Cognitive Assessment via Telephone: A Scoping Review of Instruments.

Authors:  Anne R Carlew; Hudaisa Fatima; Julia R Livingstone; Caitlin Reese; Laura Lacritz; Cody Pendergrass; Kenneth Chase Bailey; Chase Presley; Ben Mokhtari; Colin Munro Cullum
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9.  The reliability and validity of the Turkish version of the Telemedicine Satisfaction and Usefulness Questionnaire (TSUQ) and Telemedicine Patient Questionnaire (TPQ) in individuals with multiple sclerosis.

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Journal:  Neurol Sci       Date:  2021-08-03       Impact factor: 3.830

  9 in total

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