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-t...

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Veröffentlicht in:MULTIPLE SCLEROSIS JOURNAL - EXPERIMENTAL, TRANSLATIONAL AND CLINICAL TRANSLATIONAL AND CLINICAL, 2022-10, Vol.8 (4), p.20552173221144230-20552173221144230
Hauptverfasser: 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
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Sprache:eng
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Zusammenfassung: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 T1- and T2-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.
ISSN:2055-2173
2055-2173
DOI:10.1177/20552173221144230