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Brain atrophy and employment in multiple sclerosis patients: a 10-year follow-up study.

Authors :
Jacobsen C
Zivadinov R
Myhr KM
Dalaker TO
Dalen I
Bergsland N
Farbu E
Source :
Multiple sclerosis journal - experimental, translational and clinical [Mult Scler J Exp Transl Clin] 2020 Jan 27; Vol. 6 (1), pp. 2055217320902481. Date of Electronic Publication: 2020 Jan 27 (Print Publication: 2020).
Publication Year :
2020

Abstract

Background: Multiple sclerosis is often associated with unemployment. The contribution of grey matter atrophy to unemployment is unclear.<br />Objectives: To identify magnetic resonance imaging biomarkers of grey matter and clinical symptoms associated with unemployment in multiple sclerosis patients.<br />Methods: Demographic, clinical data and 1.5 T magnetic resonance imaging scans were collected in 81 patients at the time of inclusion and after 5 and 10 years. Global and tissue-specific volumes were calculated at each time point. Statistical analysis was performed using a mixed linear model.<br />Results: At baseline 31 (38%) of the patients were unemployed, at 5-year follow-up 44 (59%) and at 10-year follow-up 34 (81%) were unemployed. The unemployed patients had significantly lower subcortical deep grey matter volume ( P  < 0.001), specifically thalamus, pallidus, putamen and hippocampal volumes, and cortical volume ( P  = 0.011); and significantly greater T1 ( P  < 0.001)/T2 ( P  < 0.001) lesion volume than the employed patient group at baseline. Subcortical deep grey matter volumes, and to a lesser degree cortical volume, were significantly associated with unemployment throughout the follow-up.<br />Conclusion: We found significantly greater atrophy of subcortical deep grey matter and cortical volume at baseline and during follow-up in the unemployed patient group. Atrophy of subcortical deep grey matter showed a stronger association to unemployment than atrophy of cortical volume during the follow-up.<br /> (© The Author(s) 2020.)

Details

Language :
English
ISSN :
2055-2173
Volume :
6
Issue :
1
Database :
MEDLINE
Journal :
Multiple sclerosis journal - experimental, translational and clinical
Publication Type :
Academic Journal
Accession number :
32064116
Full Text :
https://doi.org/10.1177/2055217320902481