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Association between brain volume and disability over time in multiple sclerosis

BACKGROUND: Most previous multiple sclerosis (MS) brain atrophy studies using MS impact scale 29 (MSIS-29) or symbol digit modalities test (SDMT) have been cross-sectional with limited sets of clinical outcomes. OBJECTIVES: To investigate which brain and lesion volume metrics show the strongest long...

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Autores principales: Moridi, Thomas, Stawiarz, Leszek, McKay, Kyla A, Ineichen, Benjamin V, Ouellette, Russell, Ferreira, Daniel, Muehlboeck, J-Sebastian, Westman, Eric, Kockum, Ingrid, Olsson, Tomas, Piehl, Fredrik, Hillert, Jan, Manouchehrinia, Ali, Granberg, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768834/
https://www.ncbi.nlm.nih.gov/pubmed/36570871
http://dx.doi.org/10.1177/20552173221144230
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author Moridi, Thomas
Stawiarz, Leszek
McKay, Kyla A
Ineichen, Benjamin V
Ouellette, Russell
Ferreira, Daniel
Muehlboeck, J-Sebastian
Westman, Eric
Kockum, Ingrid
Olsson, Tomas
Piehl, Fredrik
Hillert, Jan
Manouchehrinia, Ali
Granberg, Tobias
author_facet Moridi, Thomas
Stawiarz, Leszek
McKay, Kyla A
Ineichen, Benjamin V
Ouellette, Russell
Ferreira, Daniel
Muehlboeck, J-Sebastian
Westman, Eric
Kockum, Ingrid
Olsson, Tomas
Piehl, Fredrik
Hillert, Jan
Manouchehrinia, Ali
Granberg, Tobias
author_sort Moridi, Thomas
collection PubMed
description BACKGROUND: Most previous multiple sclerosis (MS) brain atrophy studies using MS impact scale 29 (MSIS-29) or symbol digit modalities test (SDMT) have been cross-sectional with limited sets of clinical outcomes. OBJECTIVES: To investigate which brain and lesion volume metrics show the strongest long-term associations with the expanded disability status scale (EDSS), SDMT, and MSIS-29, and whether MRI-clinical associations vary with age. METHODS: We acquired MRI and clinical data from a real-world Swedish MS cohort. FreeSurfer and SPM Lesion Segmentation Tool were used to obtain brain parenchymal, cortical and subcortical grey matter, thalamic and white matter fractions as well as T(1)- and T(2)-lesion volumes. Mixed-effects and rolling regression models were used in the statistical analyses. RESULTS: We included 989 persons with MS followed for a median of 9.3 (EDSS), 10.1 (SDMT), and 9.3 (MSIS-29) years, respectively. In a cross-sectional analysis, the strength of the associations of the MRI metrics with the EDSS and MSIS-29 was found to drastically increase after 40–50 years of age. Low baseline regional grey matter fractions were associated with longitudinal increase of EDSS and physical MSIS-29 scores and decrease in SDMT scores and these atrophy measures were stronger predictors than the lesion volumes. CONCLUSIONS: The strength of MRI-clinical associations increase with age. Grey matter volume fractions are stronger predictors of long-term disability measures than lesion volumes.
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spelling pubmed-97688342022-12-22 Association between brain volume and disability over time in multiple sclerosis Moridi, Thomas Stawiarz, Leszek McKay, Kyla A Ineichen, Benjamin V Ouellette, Russell Ferreira, Daniel Muehlboeck, J-Sebastian Westman, Eric Kockum, Ingrid Olsson, Tomas Piehl, Fredrik Hillert, Jan Manouchehrinia, Ali Granberg, Tobias Mult Scler J Exp Transl Clin Original Research Article BACKGROUND: Most previous multiple sclerosis (MS) brain atrophy studies using MS impact scale 29 (MSIS-29) or symbol digit modalities test (SDMT) have been cross-sectional with limited sets of clinical outcomes. OBJECTIVES: To investigate which brain and lesion volume metrics show the strongest long-term associations with the expanded disability status scale (EDSS), SDMT, and MSIS-29, and whether MRI-clinical associations vary with age. METHODS: We acquired MRI and clinical data from a real-world Swedish MS cohort. FreeSurfer and SPM Lesion Segmentation Tool were used to obtain brain parenchymal, cortical and subcortical grey matter, thalamic and white matter fractions as well as T(1)- and T(2)-lesion volumes. Mixed-effects and rolling regression models were used in the statistical analyses. RESULTS: We included 989 persons with MS followed for a median of 9.3 (EDSS), 10.1 (SDMT), and 9.3 (MSIS-29) years, respectively. In a cross-sectional analysis, the strength of the associations of the MRI metrics with the EDSS and MSIS-29 was found to drastically increase after 40–50 years of age. Low baseline regional grey matter fractions were associated with longitudinal increase of EDSS and physical MSIS-29 scores and decrease in SDMT scores and these atrophy measures were stronger predictors than the lesion volumes. CONCLUSIONS: The strength of MRI-clinical associations increase with age. Grey matter volume fractions are stronger predictors of long-term disability measures than lesion volumes. SAGE Publications 2022-12-18 /pmc/articles/PMC9768834/ /pubmed/36570871 http://dx.doi.org/10.1177/20552173221144230 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Moridi, Thomas
Stawiarz, Leszek
McKay, Kyla A
Ineichen, Benjamin V
Ouellette, Russell
Ferreira, Daniel
Muehlboeck, J-Sebastian
Westman, Eric
Kockum, Ingrid
Olsson, Tomas
Piehl, Fredrik
Hillert, Jan
Manouchehrinia, Ali
Granberg, Tobias
Association between brain volume and disability over time in multiple sclerosis
title Association between brain volume and disability over time in multiple sclerosis
title_full Association between brain volume and disability over time in multiple sclerosis
title_fullStr Association between brain volume and disability over time in multiple sclerosis
title_full_unstemmed Association between brain volume and disability over time in multiple sclerosis
title_short Association between brain volume and disability over time in multiple sclerosis
title_sort association between brain volume and disability over time in multiple sclerosis
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768834/
https://www.ncbi.nlm.nih.gov/pubmed/36570871
http://dx.doi.org/10.1177/20552173221144230
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