Working ability in individuals with different disease courses of multiple sclerosis: Factors beyond physical impairment.


Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 12 05 2020
revised: 04 09 2020
accepted: 01 10 2020
pubmed: 10 10 2020
medline: 15 5 2021
entrez: 9 10 2020
Statut: ppublish

Résumé

Experiencing a decrease in working ability or even becoming unemployed is common in patients with multiple sclerosis (MS) and has a detrimental impact on the individual's quality of life, self-esteem, and on society's economic burden. Physical disability is still considered the most important predictor for patients' inability to work. This study aims to confirm and extend findings from prior studies indicating the additional importance of other demographical and clinical information accessible within a routine patient evaluation, placing particular emphasis on the inclusion of cognitive and neuropsychiatric measures, as well as on potential disease course differences. 159 MS patients (84 with a relapsing disease course (RMS); 75 with a progressive disease course (PMS)) were examined with the Brief International Cognitive Assessment for MS (BICAMS) battery, mood and fatigue questionnaires, and screened for subjectively experienced cognitive problems as well as for various person- and disease-related information (age, sex, education, age at diagnosis, disease duration, immunotherapy, number and nature of comorbidities, smoking and alcohol intake, sleep disturbances). These measures, along with Expanded Disability Status Scale (EDSS) scores were compared between unemployed, part- and full-time working patients. Significant variables were further entered into hierarchical regression models predicting employment status (employed vs. unemployed) as well as weekly hours at work in each disease subtype, respectively. In patients with RMS, unemployed patients had higher EDSS scores, reported a higher number of comorbidities, more frequent past depressive episodes, a higher level of fatigue, and performed worse on the Symbol-Digit Modalities Test (SDMT) and the Brief Visuospatial Memory Test revised (BVMT-R). Besides EDSS, unemployment was predicted by SDMT, while weekly hours at work were further determined by the number of comorbidities, BVMT-R, and disease duration. In patients with PMS, unemployed patients also had higher EDSS scores, were younger at diagnosis, and showed a decreased performance in SDMT and the Rey Verbal Learning and Memory Test German version (Verbaler Lern- und Merkfaehigkeitstest; VLMT). Employment status as well as weekly working hours were both predicted by VLMT, educational level, and disease duration beyond EDSS in patients with PMS, while depressive episodes additionally impacted on employment status. Objectively assessed cognitive functions, neuropsychiatric symptoms (i.e. a history of depressive episodes, fatigue) as well as some specific clinical data (disease duration, comorbidities) add substantial value in the evaluation of working ability beyond physical disability. Since unemployment is associated with different major factors among disease courses, more comprehensive and customized assessments are needed to refine characterization of individual work ability and to adjust interventional strategies targeting employment maintenance.

Sections du résumé

BACKGROUND BACKGROUND
Experiencing a decrease in working ability or even becoming unemployed is common in patients with multiple sclerosis (MS) and has a detrimental impact on the individual's quality of life, self-esteem, and on society's economic burden. Physical disability is still considered the most important predictor for patients' inability to work. This study aims to confirm and extend findings from prior studies indicating the additional importance of other demographical and clinical information accessible within a routine patient evaluation, placing particular emphasis on the inclusion of cognitive and neuropsychiatric measures, as well as on potential disease course differences.
METHODS METHODS
159 MS patients (84 with a relapsing disease course (RMS); 75 with a progressive disease course (PMS)) were examined with the Brief International Cognitive Assessment for MS (BICAMS) battery, mood and fatigue questionnaires, and screened for subjectively experienced cognitive problems as well as for various person- and disease-related information (age, sex, education, age at diagnosis, disease duration, immunotherapy, number and nature of comorbidities, smoking and alcohol intake, sleep disturbances). These measures, along with Expanded Disability Status Scale (EDSS) scores were compared between unemployed, part- and full-time working patients. Significant variables were further entered into hierarchical regression models predicting employment status (employed vs. unemployed) as well as weekly hours at work in each disease subtype, respectively.
RESULTS RESULTS
In patients with RMS, unemployed patients had higher EDSS scores, reported a higher number of comorbidities, more frequent past depressive episodes, a higher level of fatigue, and performed worse on the Symbol-Digit Modalities Test (SDMT) and the Brief Visuospatial Memory Test revised (BVMT-R). Besides EDSS, unemployment was predicted by SDMT, while weekly hours at work were further determined by the number of comorbidities, BVMT-R, and disease duration. In patients with PMS, unemployed patients also had higher EDSS scores, were younger at diagnosis, and showed a decreased performance in SDMT and the Rey Verbal Learning and Memory Test German version (Verbaler Lern- und Merkfaehigkeitstest; VLMT). Employment status as well as weekly working hours were both predicted by VLMT, educational level, and disease duration beyond EDSS in patients with PMS, while depressive episodes additionally impacted on employment status.
CONCLUSIONS CONCLUSIONS
Objectively assessed cognitive functions, neuropsychiatric symptoms (i.e. a history of depressive episodes, fatigue) as well as some specific clinical data (disease duration, comorbidities) add substantial value in the evaluation of working ability beyond physical disability. Since unemployment is associated with different major factors among disease courses, more comprehensive and customized assessments are needed to refine characterization of individual work ability and to adjust interventional strategies targeting employment maintenance.

Identifiants

pubmed: 33035965
pii: S2211-0348(20)30633-7
doi: 10.1016/j.msard.2020.102559
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102559

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Auteurs

Alina Renner (A)

COGITO Center for Applied Neurocognition and Neuropsychological Research, Merowingerplatz 1, 40225 Düsseldorf, Germany.

Sharon Jean Baetge (SJ)

COGITO Center for Applied Neurocognition and Neuropsychological Research, Merowingerplatz 1, 40225 Düsseldorf, Germany.

Melanie Filser (M)

COGITO Center for Applied Neurocognition and Neuropsychological Research, Merowingerplatz 1, 40225 Düsseldorf, Germany.

Iris-Katharina Penner (IK)

COGITO Center for Applied Neurocognition and Neuropsychological Research, Merowingerplatz 1, 40225 Düsseldorf, Germany; Heinrich Heine University Düsseldorf, Medical Faculty, Department of Neurology, Moorenstr. 5, 40225 Düsseldorf, Germany. Electronic address: iris-katharina.penner@uni-duesseldorf.de.

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Classifications MeSH