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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.
Afiliação
  • Moridi T; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Stawiarz L; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
  • McKay KA; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Ineichen BV; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Ouellette R; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Ferreira D; Division of Neuroradiology, Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.
  • Muehlboeck JS; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Westman E; Division of Neuroradiology, Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.
  • Kockum I; Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
  • Olsson T; Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
  • Piehl F; Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
  • Hillert J; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Manouchehrinia A; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
  • Granberg T; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Mult Scler J Exp Transl Clin ; 8(4): 20552173221144230, 2022.
Article em En | MEDLINE | ID: mdl-36570871
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article