The clinical and paraclinical correlates of employment status in multiple sclerosis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F22%3A10441461" target="_blank" >RIV/00064165:_____/22:10441461 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11110/22:10441461

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=o.PwOxZQDi" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=o.PwOxZQDi</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10072-021-05553-z" target="_blank" >10.1007/s10072-021-05553-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The clinical and paraclinical correlates of employment status in multiple sclerosis

Popis výsledku v původním jazyce

Purpose: To identify the clinical and paraclinical markers of employment status in multiple sclerosis (MS). Methods: This was a cross-sectional sub-study investigating 1226 MS patients. To minimalized confounding effect, two groups of patients, matched by sex, age, and education, were selected: 307 patients with full time employment and 153 unemployed patients receiving disability pension. We explored associations between employment status and Expanded Disability Status Scale (EDSS), 25 Foot Walk Test (25FWT), Nine Hole Peg Test (9HPT), Brief International Cognitive Assessment for MS (BICAMS), Paced Auditory Serial Addition Test (PASAT), Beck Depression Inventory (BDI), SLOAN charts (SLOAN), and brain volumetric MRI measures. Results: Both groups differed significantly on all variables of interest (p &lt; 0.001). In the univariate analyses, EDSS, SDMT (Symbol Digit Modalities Test) adjusted for BDI, 25FWT, and 9HPT best explained variability in vocational status. In multivariate analyses, the combination of EDSS, 25FWT, SDMT, BDI, and corpus callosum fraction (CCF) explained the greatest variability. As a next step, after patients were matched by EDSS, differences in SDMT, 25FWT (both p &lt; 0.001), 9HPT, CCF, and T2 lesion volume were still present (all p &lt; 0.005) between both groups. The best multivariate model consisted of SDMT, BDI, and T2 lesion volume. Conclusions: EDSS, walking ability, cognitive performance, and MRI volumetric parameters are independently associated with employment status.

Název v anglickém jazyce

The clinical and paraclinical correlates of employment status in multiple sclerosis

Popis výsledku anglicky

Purpose: To identify the clinical and paraclinical markers of employment status in multiple sclerosis (MS). Methods: This was a cross-sectional sub-study investigating 1226 MS patients. To minimalized confounding effect, two groups of patients, matched by sex, age, and education, were selected: 307 patients with full time employment and 153 unemployed patients receiving disability pension. We explored associations between employment status and Expanded Disability Status Scale (EDSS), 25 Foot Walk Test (25FWT), Nine Hole Peg Test (9HPT), Brief International Cognitive Assessment for MS (BICAMS), Paced Auditory Serial Addition Test (PASAT), Beck Depression Inventory (BDI), SLOAN charts (SLOAN), and brain volumetric MRI measures. Results: Both groups differed significantly on all variables of interest (p &lt; 0.001). In the univariate analyses, EDSS, SDMT (Symbol Digit Modalities Test) adjusted for BDI, 25FWT, and 9HPT best explained variability in vocational status. In multivariate analyses, the combination of EDSS, 25FWT, SDMT, BDI, and corpus callosum fraction (CCF) explained the greatest variability. As a next step, after patients were matched by EDSS, differences in SDMT, 25FWT (both p &lt; 0.001), 9HPT, CCF, and T2 lesion volume were still present (all p &lt; 0.005) between both groups. The best multivariate model consisted of SDMT, BDI, and T2 lesion volume. Conclusions: EDSS, walking ability, cognitive performance, and MRI volumetric parameters are independently associated with employment status.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

<a href="/cs/project/GA16-03322S" target="_blank" >GA16-03322S: Objasnění mechanismů rozvoje poruch řeči a hlasu u roztroušené sklerózy s využitím nových metod objektivní akustické analýzy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Neurological Sciences

ISSN

1590-1874

e-ISSN

1590-3478

Svazek periodika

43

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

10

Strana od-do

1911-1920

Kód UT WoS článku

000684899300002

EID výsledku v databázi Scopus

2-s2.0-85112446984