Pooled analysis of multiple sclerosis findings on multisite 7 Tesla MRI: Protocol and initial observations.

Although 7 T MRI research has contributed much to our understanding of multiple sclerosis (MS) pathology, most prior data has come from small, single-center studies with varying methods. In order to truly know if such findings have widespread applicability, multicenter methods and studies are needed. To address this, members of the North American Imaging in MS (NAIMS) Cooperative worked together to create a multicenter collaborative study of 7 T MRI in MS. In this manuscript, we describe the methods we have developed for the purpose of pooling together a large, retrospective dataset of 7 T MRIs acquired in multiple MS studies at five institutions. To date, this group has contributed five-hundred and twenty-eight 7 T MRI scans from 350 individuals with MS to a common data repository, with plans to continue to increase this sample size in the coming years. We have developed unified methods for image processing for data harmonization and lesion identification/segmentation. We report here our initial observations on intersite differences in acquisition, which includes site/device differences in brain coverage and image quality. We also report on the development of our methods and training of image evaluators, which resulted in median Dice Similarity Coefficients for trained raters' annotation of cortical and deep gray matter lesions, paramagnetic rim lesions, and meningeal enhancement between 0.73 and 0.82 compared to final consensus masks. We expect this publication to act as a resource for other investigators aiming to combine multicenter 7 T MRI datasets for the study of MS, in addition to providing a methodological reference for all future analysis projects to stem from the development of this dataset.

Stigma in Multiple Sclerosis: A Narrative Review of Current Concepts, Measures, and Findings.

Stigma is an undesired differentness associated with a particular characteristic or condition that distinguishes a person as being outside the norm and cueing stereotypes. Stigma is common in people with multiple sclerosis (MS) and is associated with several disease variables including disease duration, age, age of onset, and disease course. Stigma is also associated with psychological and psychosocial variables such as depression, anxiety, and quality of life. This article reviews our current understanding of stigma in people with MS with a focus on the various stigma types including anticipated, experienced, and internalized stigma, and the lack of consistent definitions across studies. It also describes the 7 instruments that are most commonly used to measure stigma in people with MS, and the limitations of each measure. We conclude that a better understanding of stigma that includes standard definitions of stigma types could lead to more direct intervention strategies aimed at reducing particular stigma concepts and resulting in improved health-related quality of life in people with MS.

Long-term follow-up for multiple sclerosis patients initially treated with interferon-beta and glatiramer acetate.

OBJECTIVE: Our goal was to compare subjects treated with glatiramer acetate (GA) and interferon-beta (IFN-ß) in terms of long-term clinical outcomes. METHODS: Subjects enrolled in the CLIMB who initiated either GA or IFN-ß within five years of disease onset and prior to 2008 were identified (n = 150 for GA and n = 144 for IFN-ß). The two treatment groups were compared in terms of long-term clinical outcomes: time to EDSS 4, time to EDSS 6 and EDSS score seven years after treatment initiation. Baseline confounders included in our analysis were age, gender, disease duration, attacks in the previous year, EDSS prior to treatment initiation, and year of treatment initiation. The groups were compared using three approaches to handle confounders: multiple regression adjusting for confounders, adjustment for the propensity score, and inverse probability of treatment weighting. In addition, we assessed potential predictors of differential treatment response using multiple regression models including appropriate interaction terms. RESULTS: Subjects initially treated with GA had a slightly higher hazard of reaching EDSS 4 and EDSS 6, but the difference between the groups was not statistically significant (adjusted HR for EDSS 4 = 1.48; 95% CI: 0.77,2.84; p = .24; adjusted HR for EDSS 6 = 1.46; 95% CI: 0.70,3.05; p = .316). For the EDSS score at year 7, there was also only a small difference between the groups. Subjects treated with GA had a longer time until treatment cessation (adjusted HR = 0.70; 95% CI: 0.53,0.93; p = .012). The interaction models did not show strong evidence for the baseline predictors being associated with treatment response. CONCLUSIONS: Subjects treated with glatiramer acetate and interferon-beta had similar long-term clinical course.