Brain Atrophy and Physical and Cognitive Disability in Multiple Sclerosis

Author:

Casanova Ignacio, ,De Silanes Carlos Lopez,De Torres Laura,Eimil Miriam,Jose Gil María,Oyanguren Beatriz,Terrero Rodrigo,Sabin Julia,Patricia Diaz Blanca,Ángel Saiz Miguel,De Antonio Esther,Abellan Sara,González Marta, , , , , , , , , , , ,

Abstract

Introduction: brain atrophy is associated with physical disability in multiple sclerosis (MS), but there is a great variability between different studies and methodologies, and its use is still limited to research projects. Objective: to analyze the relationship between several volumetric measurements and physical disability and cognitive functioning in MS patients in a clinical practice setting. Material and methods: cross-sectional study. 41 patinets (31 relapsing-remitting MS, 6 secondary-progressive MS and 4 primary-progressive MS). Whole brain volume (WBV), Gray Matter Volume (GMV) and T2 lesion load (T2L) were obtained using Icometrix ® software. Physical disability was measured with the Expanded Disability Status Scale (EDSS), and cognitive status was evaluated with the Brief Repeatble Battery of neuropsychological tests (BRB-N). The relationship between brain volumes and EDSS was analyzed through lineal multivariate regression. The association between volumetry measurements and the number of affected cognitive domains was studied with negative binomial regression. Results: GMV was associated with age (b=-1.7; p=0,014) and with EDSS (b= -7.55; p=0.013). T2L was associated with EDSS (b= 2.29; p=0.032). The number of affected cognitive domains was associated with clinical phenotype, worse in primary progressive MS (PPMS). There was not correlations between cognitive impairment and cerebral volumes. Conclusions: Brain atrophy measurement is feasible in clinical practice setting, and it is helpful in monitoring the EDSS progression. Primary progressive phenotype is associated with greater risk of cognitive dysfunction.

Publisher

Negah Scientific Publisher

Subject

Cellular and Molecular Neuroscience,Clinical Neurology

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