Search

Background and Purpose: This study assessed the effect of patient characteristics on the response to disease-modifying therapy (DMT) in multiple sclerosis (MS)., Methods: We extracted data from 61,810 patients from 135 centers across 35 countries from the MSBase registry. The selection criteria were: clinically isolated syndrome or definite MS, follow-up ≥ 1 year, and Expanded Disability Status Scale (EDSS) score ≥ 3, with ≥1 score recorded per year. Marginal structural models with interaction terms were used to compare the hazards of 12-month confirmed worsening and improvement of disability, and the incidence of relapses between treated and untreated patients stratified by their characteristics., Results: Among 24,344 patients with relapsing MS, those on DMTs experienced 48% reduction in relapse incidence (hazard ratio [HR] = 0.52, 95% confidence interval [CI] = 0.45-0.60), 46% lower risk of disability worsening (HR = 0.54, 95% CI = 0.41-0.71), and 32% greater chance of disability improvement (HR = 1.32, 95% CI = 1.09-1.59). The effect of DMTs on EDSS worsening and improvement and the risk of relapses was attenuated with more severe disability. The magnitude of the effect of DMT on suppressing relapses declined with higher prior relapse rate and prior cerebral magnetic resonance imaging activity. We did not find any evidence for the effect of age on the effectiveness of DMT. After inclusion of 1985 participants with progressive MS, the effect of DMT on disability mostly depended on MS phenotype, whereas its effect on relapses was driven mainly by prior relapse activity., Conclusions: DMT is generally most effective among patients with lower disability and in relapsing MS phenotypes. There is no evidence of attenuation of the effect of DMT with age., (© 2023 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)

Background: In the absence of evidence from randomised controlled trials, observational data can be used to emulate clinical trials and guide clinical decisions. Observational studies are, however, susceptible to confounding and bias. Among the used techniques to reduce indication bias are propensity score matching and marginal structural models., Objective: To use the comparative effectiveness of fingolimod vs natalizumab to compare the results obtained with propensity score matching and marginal structural models., Methods: Patients with clinically isolated syndrome or relapsing remitting MS who were treated with either fingolimod or natalizumab were identified in the MSBase registry. Patients were propensity score matched, and inverse probability of treatment weighted at six monthly intervals, using the following variables: age, sex, disability, MS duration, MS course, prior relapses, and prior therapies. Studied outcomes were cumulative hazard of relapse, disability accumulation, and disability improvement., Results: 4608 patients (1659 natalizumab, 2949 fingolimod) fulfilled inclusion criteria, and were propensity score matched or repeatedly reweighed with marginal structural models. Natalizumab treatment was associated with a lower probability of relapse (PS matching: HR 0.67 [95% CI 0.62-0.80]; marginal structural model: 0.71 [0.62-0.80]), and higher probability of disability improvement (PS matching: 1.21 [1.02 -1.43]; marginal structural model 1.43 1.19 -1.72]). There was no evidence of a difference in the magnitude of effect between the two methods., Conclusions: The relative effectiveness of two therapies can be efficiently compared by either marginal structural models or propensity score matching when applied in clearly defined clinical contexts and in sufficiently powered cohorts.

Background: Effectiveness of cladribine tablets, an oral disease-modifying treatment (DMT) for multiple sclerosis (MS), was established in clinical trials and confirmed with real-world experience., Objectives: Use real-world data to compare treatment patterns and clinical outcomes in people with MS (pwMS) treated with cladribine tablets versus other oral DMTs., Methods: Retrospective treatment comparisons were based on data from the international MSBase registry. Eligible pwMS started treatment with cladribine, fingolimod, dimethyl fumarate, or teriflunomide tablets from 2018 to mid-2021 and were censored at treatment discontinuation/switch, death, loss to follow-up, pregnancy, or study period end. Treatment persistence was evaluated as time to discontinuation/switch; relapse outcomes included time to first relapse and annualized relapse rate (ARR)., Results: Cohorts included 633 pwMS receiving cladribine tablets, 1195 receiving fingolimod, 912 receiving dimethyl fumarate, and 735 receiving teriflunomide. Individuals treated with fingolimod, dimethyl fumarate, or teriflunomide switched treatment significantly more quickly than matched cladribine tablet cohorts (adjusted hazard ratio (95% confidence interval): 4.00 (2.54-6.32), 7.04 (4.16-11.93), and 6.52 (3.79-11.22), respectively). Cladribine tablet cohorts had significantly longer time-to-treatment discontinuation, time to first relapse, and lower ARR, compared with other oral DMT cohorts., Conclusion: Cladribine tablets were associated with a significantly greater real-world treatment persistence and more favorable relapse outcomes than all oral DMT comparators.

Background: Restless legs syndrome (RLS) is a sensory-motor disorder characterized by an uncomfortable sensation in the lower extremity, triggered by sitting and lying positions and release with motion. There is strong evidence that RLS prevalence is higher in persons with multiple sclerosis (MS, pwMS) than in the general population. Current literature has shown that exergaming as non-pharmacological therapy may be an effective method for symptoms such as balance, walking, fatigue, cognitive functions in pwMS, but the effects on RLS are not known. Therefore, the study's main aim is to investigate the effects of exergaming in pwMS with RLS., Methods: Thirty-one pwMS with RLS and 34 pwMS without RLS were randomly divided as exergaming group and control group. The outcome measures were International RLS Study Group Rating Scale, Modified Fatigue Impact Scale, MS Walking Scale, Timed 25-Foot Walk Test, Hospital Anxiety and Depression Scale, Godin-Shephard Leisure-Time Physical Activity Questionnaire, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, 6 min Walk Test, Timed and Up Go, MS International Quality of Life questionnaire, MS-Related Symptom Checklist., Results: 26 pwMS with RLS (11 exergaming group, 15 control group) and 27 pwMS without RLS (12 exergaming group, 15 control group) were included in 8-week post-treatment analyses. After an 8-week long-term follow-up, 16 pwMS with and without RLS completed the protocol. The RLS severity (p = 0.004), anxiety level (p = 0.024), sleep quality (0.005), walking (0.004), and balance functions (0.041) were improved in pwMS with RLS exergaming group, while RLS severity increased in control group (p = 0.004). At 8-week follow-up, the effect of exergaming on RLS severity, quality of life, sleep quality, and walking capacity was preserved. There was significant improvement in gait and balance functions in pwMS without RLS exergaming group, there was no significant differences control group. In 8-week follow-up, improvement obtained in pwMS without RLS exergaming group was not preserved., Conclusions: This study suggests that exergaming training could be an effective method for managing RLS severity, anxiety, sleep quality, gait, balance, and quality of life in pwMS with RLS., Competing Interests: Declarations of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022. Published by Elsevier B.V.)

Background: Patients with relapsing-remitting multiple sclerosis (RRMS) who experience relapses on a first-line therapy (interferon, glatiramer acetate, dimethyl fumarate, or teriflunomide; collectively, "BRACETD") often switch to another therapy, including natalizumab or fingolimod. Here we compare the effectiveness of switching from a first-line therapy to natalizumab or fingolimod after ≥1 relapse., Methods: Data collected prospectively in the MSBase Registry, a global, longitudinal, observational registry, were extracted on February 6, 2018. Included patients were adults with RRMS with ≥1 relapse on BRACETD therapy in the year before switching to natalizumab or fingolimod. Included patients received natalizumab or fingolimod for ≥3 months after the switch., Results: Following 1:1 propensity score matching, 1000 natalizumab patients were matched to 1000 fingolimod patients. Mean (standard deviation) follow-up time was 3.02 (2.06) years after switching to natalizumab and 2.58 (1.64) years after switching to fingolimod. Natalizumab recipients had significantly lower annualized relapse rate (relative risk=0.66; 95% confidence interval [CI], 0.59-0.74), lower risk of first relapse (hazard ratio [HR]=0.69; 95% CI, 0.60-0.80), and higher confirmed disability improvement (HR=1.27; 95% CI, 1.03-1.57) than fingolimod recipients. No difference in confirmed disability worsening was observed., Conclusions: Patients with RRMS switching from BRACETD demonstrated better outcomes with natalizumab than with fingolimod., Competing Interests: Declaration of Competing Interest Dr Spelman has received honoraria for consultancy and funding for travel from Biogen and Novartis. Dr Horakova has received speaker honoraria and consulting fees from Biogen, Merck, Novartis, Roche, Sanofi Genzyme, and Teva, as well as support for research activities from Biogen and the Czech Ministry of Education (project Progres Q27/LF1). Dr Alroughani has received honoraria as a speaker and for serving on scientific advisory boards from Bayer, Biogen, GSK, Merck, Novartis, Roche, and Sanofi Genzyme. Dr Kalincik has served on scientific advisory boards for Biogen, Merck, Novartis, Roche, and Sanofi Genzyme and a steering committee for Genzyme's Brain Atrophy Initiative; has received conference travel support and/or speaker honoraria from BioCSL, Biogen, Merck, Novartis, Sanofi Genzyme, Teva, and WebMD Global; and has received research support from Biogen. Dr Terzi has received travel grants from Bayer Schering, Merck, Novartis, and Teva and has participated in clinical trials by Novartis, Roche, and Sanofi. Dr Grammond has served on advisory boards for Biogen, Genzyme, Merck, Novartis, and Teva Neuroscience and as a consultant for Merck; has received payments for lectures from Merck, Teva Neuroscience, and the Canadian Multiple Sclerosis Society; and has received grants for travel from Novartis and Teva Neuroscience. Dr Patti has received speaker honoraria or advisory board fees from Almirall, Bayer, Biogen, Celgene, Merck, Mylan, Novartis, Roche, Sanofi Genzyme, and Teva and research funding from Biogen, Merck, the Italian Ministry of Education, University and Research, and the Italian Multiple Sclerosis Society Foundation. Dr Csepany has received speaker honoraria and/or conference travel support from Bayer Schering, Biogen, Merck, Novartis, Roche, Sanofi, and Teva. Dr Boz has received conference travel support from Bayer Schering, Biogen, Merck, Novartis, and Teva and has participated in clinical trials by Novartis, Roche, and Sanofi. Dr Lechner-Scott has received travel compensation from Biogen, Merck, and Novartis and has been involved in clinical trials with Biogen, Novartis, and Teva. Her institution has received honoraria for talks and advisory board service from Bayer HealthCare, Biogen, Merck, Novartis, Sanofi Genzyme, and Teva. Dr Granella has received research funding from Biogen and Sanofi Genzyme; fees for advisory boards and speaker honoraria from Biogen, Merck Serono, Novartis, Roche, and Sanofi Genzyme; and travel funding from Biogen, Merck Serono, Roche, and Sanofi Genzyme. Dr Grand'Maison has received honoraria or research funding from Biogen, Genzyme, Mitsubishi, Novartis, Ono Pharmaceuticals, and Teva Neuroscience. Dr. van der Walt reports grants from Roche and Novartis; and has served on advisory boards for and received travel support from Merck, Roche, Biogen, Novartis, Alexion, and BMS. Dr Butzkueven has served on scientific advisory boards for Biogen, Novartis, and Sanofi and steering committees for trials conducted by Biogen and Novartis; has received conference travel support from Biogen, Novartis, and Sanofi; and has received research support from Biogen, Merck, and Novartis. Drs Ozakbas, Onofrj, Prat, and Zhu have nothing to disclose., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Over the decades, several natural history studies on patients with primary (PPMS) or secondary progressive multiple sclerosis (SPMS) were reported from international registries. In PPMS, a consistent heterogeneity on long-term disability trajectories was demonstrated. The aim of this study was to identify subgroups of patients with SPMS with similar longitudinal trajectories of disability over time., Methods: All patients with MS collected within Big MS registries who received an SPMS diagnosis from physicians (cohort 1) or satisfied the Lorscheider criteria (cohort 2) were considered. Longitudinal Expanded Disability Status Scale (EDSS) scores were modelled by a latent class growth analysis (LCGA), using a non-linear function of time from the first EDSS visit in the range 3-4., Results: A total of 3613 patients with SPMS were included in the cohort 1. LCGA detected three different subgroups of patients with a mild (n=1297; 35.9%), a moderate (n=1936; 53.6%) and a severe (n=380; 10.5%) disability trajectory. Median time to EDSS 6 was 12.1, 5.0 and 1.7 years, for the three groups, respectively; the probability to reach EDSS 6 at 8 years was 14.4%, 78.4% and 98.3%, respectively. Similar results were found among 7613 patients satisfying the Lorscheider criteria., Conclusions: Contrary to previous interpretations, patients with SPMS progress at greatly different rates. Our identification of distinct trajectories can guide better patient selection in future phase 3 SPMS clinical trials. Additionally, distinct trajectories could reflect heterogeneous pathological mechanisms of progression., Competing Interests: Competing interests: AS received research support from MSBase. JL received research support from Innosuisse—Swiss Innovation Agency, Biogen and Novartis; he served on advisory boards for Biogen, Novartis, Roche and Teva. SV received consulting and lecture fees, travel grants and research support from Biogen, Celgene, Genentech, Genzyme, Medday Pharmaceuticals, Merck Serono, Novartis, Roche, Sanofi-Aventis and Teva Pharma. MT has served on scientific advisory boards for Biogen, Novartis, Roche and Genzyme; has received speaker honoraria and travel support from Biogen Idec, Sanofi-Aventis, Merck Serono, Teva, Genzyme and Novartis; and has received research grants for her institution from Biogen Idec, Merck Serono and Novartis. JH has received honoraria for serving on advisory boards for Biogen, Sanofi-Genzyme and Novartis; and speaker’s fees from Biogen, Novartis, Merck Serono, Bayer-Schering, Teva and Sanofi-Genzyme. He has served as PI for projects or received unrestricted research support from Biogen Idec, Merck Serono, TEVA, Sanofi-Genzyme and Bayer-Schering; his MS research is funded by the Swedish Research Council and the Swedish Brain Foundation. RH is an employee of Biogen and holds a stock. FP is an employee of Biogen. MM has served on scientific advisory board for Biogen Idec and Teva; and has received honoraria for lecturing from Biogen Idec, Merck Serono, Sanofi-Aventis and Teva. NK-H has received honoraria for lecturing and participating in advisory councils, travel expenses for attending congresses and meetings, and financial support for monitoring the Danish Multiple Sclerosis Treatment Register from Bayer-Schering, Merck Serono, Biogen Idec, Teva, Sanofi-Aventis and Novartis. PSS has served on scientific advisory boards for Merck Serono, Teva, Novartis, Sanofi-Aventis and Biogen Idec; has received research support from Biogen Idec, Novartis and Sanofi-Aventis; and received speaker honoraria from Merck Serono, Novartis, Teva, Sanofi-Aventis, Biogen Idec and Genzyme. TS received compensation for serving on scientific advisory boards, honoraria for consultancy and funding for travel from Biogen; and speaker honoraria from Novartis. AvdW reported receiving grants from National Health and Medical Research Council (NHMRC), Novartis, Roche and MS Research Australia; and personal fees from Biogen, Merck, Novartis and Roche. DH received compensation for travel, speaker honoraria and consultant fees from Biogen, Novartis, Merck Healthcare (Darmstadt, Germany), Bayer, Sanofi, Roche and Teva, as well as support for research activities from Biogen. She was also supported by the Charles University: Cooperation Program in neuroscience. EH received honoraria/research support from Biogen, Merck Serono, Novars, Roche and Teva; has been a member of advisory boards for Actelion, Biogen, Celgene, Merck Serono, Novars and Sanofi Genzyme. MG received consulting fees from Teva Canada Innovation, Biogen, Novartis and Genzyme Sanofi; and lecture payments from Teva Canada Innovation, Novartis and EMD. He has also received a research grant from Canadian Institutes of Health Research. SE received speaker honoraria and consultant fees from Biogen Idec, Novartis, Merck, Bayer, Sanofi Genzyme, Roche and Teva. FG received honoraria or research funding from Biogen, Genzyme, Novartis, Teva Neurosciences, Mitsubishi and ONO Pharmaceuticals. OG has nothing to disclose. MT received travel grants from Novartis, Bayer-Schering, Merck and Teva; and has participated in clinical trials by Sanofi Aventis, Roche and Novartis. SO has nothing to disclose. OS has received honoraria and consulting fees from Bayer Schering, Novartis, Merck, Biogen and Genzyme companies. VVP received travel grants from Merck Healthcare (Darmstadt, Germany), Biogen, Sanofi, Bristol Meyer Squibb, Almirall and Roche. His institution has received research grants and consultancy fees from Roche, Biogen, Sanofi, Merck Healthcare (Darmstadt, Germany), Bristol Meyer Squibb, Janssen, Almirall and Novartis Pharma. MJS received consulting fees, speaker honoraria, and/or travel expenses for scientific meetings from Alexion, Bayer Healthcare, Biogen, Bristol Myers Squibb, Celgene, Janssen, Merck-Serono, Novartis, Roche, Sanofi and Teva. JP accepted travel compensation from Novartis, Biogen, Genzyme and Teva; and speaking honoraria from Biogen, Novartis, Genzyme and Teva. RA received honoraria as a speaker and for serving on scientific advisory boards from Bayer, Biogen, GSK, Merck, Novartis, Roche and Sanofi-Genzyme. PAM received speakers fees and travel grants from Novartis, Biogen, T’évalua and Sanofi. RG has nothing to disclose. SM has received a MENACTRIMS clinical fellowship grant (2020). TC-T received speaking/consulting fees and/or travel funding from Bayer, Biogen, Merck, Novartis, Roche, Sanofi-Genzyme and Teva. CZ has nothing to disclose. KdG has nothing to disclose. JLS-M accepted travel compensation from Novartis, Merck and Biogen; speaking honoraria from Biogen, Novartis, Sanofi, Merck, Almirall, Bayer and Teva; and has participated in clinical trials by Biogen, Merck and Roche. BY and SK have nothing to disclose. MPS has received consulting fees from Biogen, Merck, Teva, Genzyme, Roche, Novartis, GeNeuro and MedDay. TK reported receiving grants from MS Research Australia and grants, personal fees and non-financial support from Biogen; personal fees and non-financial support from Sanofi Genzyme and Merck; personal fees from Roche, Novartis, WebMD Global, Teva and BioCSL; and grants from NHMRC, MS Research Australia, ARSEP-OFSEP, UK MS Society and Medical Research Future Fund. HB’s institution (Monash University) received compensation for consulting, talks, and advisory/steering board activities from Alfred Health, Biogen, Merck, Novartis, Roche and UCB pharma; research support from Biogen, Merck, Roche, MS Australia, National Health and Medical Research (Australia) and the Medical Research Future Fund (Australia), the Pennycook Foundation, Novartis and Roche. He has received personal compensation for steering group activities from Oxford Health Policy Forum., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Epstein-Barr virus is considered a risk factor for the development of multiple sclerosis, and recent findings reveal infected plasma -cells in meningeal ectopic lymphoid deposits. Activation of the dormant virus could be responsible for the multiple sclerosis exacerbation AIMS: To compare Epstein-Barr nuclear IgG (EBNA IgG) titer in newly diagnosed treatment-naive multiple sclerosis patients regarding the diagnoses date, clinical and radiological activity., Methods: Treatment-naive multiple sclerosis patients were divided into two groups according to Poser (late group) and McDonald2017(early group) diagnostic criteria. EBNA IgG, EDSS, physical (Timed 25 Foot Walk test, Nine-hole Peg test), and cognitive tests (Brief International Cognitive Assessment for Multiple Sclerosis) were done before the methylprednisolone infusion. The lesion location was evaluated by an MRI. Myelitis was considered a severe attack, and optic neuritis a mild relapse., Results: In total, 69 patients were enrolled. 44 (63.8%) of them were diagnosed by McDonald2017, and 25 (36.2%) were diagnosed with Poser criteria. There was a significant difference (p = 0.049) between the EBNA IgG titer of the late (median:238 U/ml, IQR: 154-362) and early (median: 154 U/ml, IQR:100.25-293.25). Severe relapse, having a spinal cord lesion, and not being treated with methylprednisolone was associated with higher EBNA IgG titer., Conclusion: Study results show that EBNA IgG was significantly associated with disease activity regarding relapse severity and lesion location and could be a potential biomarker for predicting disease exacerbation., Competing Interests: Declaration of Competing Interest Authors have nothing to disclose, neither financial interests nor non-financial interests. None., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objectives and Aims: Disease modifying therapies used in multiple sclerosis can decrease humoral response after COVID-19 vaccines. This problem must be adequately addressed because new variants evolve, and COVID-19 still poses a risk to patients with comorbidities and immunosuppression. We aimed to evaluate the antibody response after the third dose of the COVID-19 vaccine in people with multiple sclerosis on disease-modifying therapies., Methods: People with multiple sclerosis who received the third dose of either mRNA or inactivated vaccine after two doses of inactivated vaccine were recruited for the study. Blood samples were collected at least two weeks after the third dose., Results: Blood samples of 339 (female 72.5%) people with multiple sclerosis and 52 (female 71.2%) healthy controls were evaluated. Healthy controls (mean: 4.07 ± 0.66) have higher antibody titers than people with multiple sclerosis (mean: 2.79 ± 2.95). Seronegative cases were observed only in the fingolimod and ocrelizumab treatment groups. Patients on fingolimod who received mRNA as a third dose had significantly higher antibody titer than those who had inactivated vaccines. Longer disease duration, having inactivated vaccine as a third dose, and DMT use was associated with lower antibody response., Conclusions: The study shows that even after inactivated vaccine schedule, mRNA still offers more protection in people with multiple sclerosis on disease-modifying therapies., Competing Interests: Declaration of Competing Interest The authors report no declarations of interest., (Copyright © 2022. Published by Elsevier B.V.)

Background: To compare the effectiveness and treatment persistence of ocrelizumab, cladribine and natalizumab in patients with relapsing-remitting multiple sclerosis switching from fingolimod., Methods: Using data from MSBase registry, this multicentre cohort study included subjects who had used fingolimod for ≥6 months and then switched to ocrelizumab, cladribine or natalizumab within 3 months after fingolimod discontinuation. We analysed relapse and disability outcomes after balancing covariates using an inverse-probability-treatment-weighting method. Propensity scores for the three treatments were obtained using multinomial-logistic regression. Due to the smaller number of cladribine users, comparisons of disability outcomes were limited to natalizumab and ocrelizumab., Results: Overall, 1045 patients switched to ocrelizumab (n=445), cladribine (n=76) or natalizumab (n=524) after fingolimod. The annualised relapse rate (ARR) for ocrelizumab was 0.07, natalizumab 0.11 and cladribine 0.25. Compared with natalizumab, the ARR ratio (95% confidence interval [CI]) was 0.67 (0.47 to 0.96) for ocrelizumab and 2.31 (1.30 to 4.10) for cladribine; the hazard ratio (95% CI) for time to first relapse was 0.57 (0.40 to 0.83) for ocrelizumab and 1.18 (0.47 to 2.93) for cladribine. Ocrelizumab users had an 89% lower discontinuation rate (95% CI, 0.07 to 0.20) than natalizumab, but also a 51% lower probability of confirmed disability improvement (95% CI, 0.32 to 0.73). There was no difference in disability accumulation., Conclusion: After fingolimod cessation, ocrelizumab and natalizumab were more effective in reducing relapses than cladribine. Due to the low ARRs in all three treatment groups, additional observation time is required to determine if statistical difference in ARRs results in long-term disability differences., Competing Interests: Competing interests: CZ, OS, RM, AP, JK, MO, RK, SO, DM, IR and ZZ report no disclosures. VJ received conference travel support from Merck and Roche and speaker’s honoraria from Biogen and Roche outside of the submitted work. She receives research support from the Australian National Health and Medical Research Grant and MS Research Australia. MB received conference travel support from Biogen and Novartis. His institution has received research support from Biogen, Merck and Novartis. TK received conference travel support and/or speaker honoraria from WebMD Global, Eisai, Novartis, Biogen, Sanofi-Genzyme, Teva, BioCSL and Merck and received research or educational event support from Biogen, Novartis, Genzyme, Roche, Celgene and Merck. JL-S received travel compensation from Novartis, Biogen, Roche and Merck. Her institution receives the honoraria for talks and advisory board commitment and research grants from Biogen, Merck, Roche, TEVA and Novartis. SJK received compensation for scientific advisory board activity from Merck and Roche. SH received honoraria and consulting fees from Novartis, Bayer Schering and Sanofi, and travel grants from Novartis, Biogen Idec and Bayer Schering. MS participated in, but not received honoraria for, advisory board activity for Biogen, Merck, Bayer Schering, Sanofi Aventis and Novartis. AvdW served on advisory boards and receives unrestricted research grants from Novartis, Biogen, Merck and Roche. She has received speaker’s honoraria and travel support from Novartis, Roche and Merck. She also received grant support from the National Health and Medical Research Council of Australia and MS Research Australia. VVP has received travel grants from Merck Healthcare KGaA (Darmstadt, Germany), Biogen, Sanofi, Bristol Meyer Squibb, Almirall and Roche. His institution has received research grants and consultancy fees from Roche, Biogen, Sanofi, Merck Healthcare KGaA (Darmstadt, Germany), Bristol Meyer Squibb, Janssen, Almirall and Novartis Pharma. JP received travel compensation from Novartis, Biogen, Genzyme and Teva, and speaking honoraria from Biogen, Novartis, Genzyme and Teva. DH received speaker honoraria and consulting fees from Biogen, Merck, Teva, Roche, Sanofi Genzyme and Novartis, as well as support for research activities from Biogen and Czech Ministry of Education. EKH received honoraria/research support from Biogen, Merck Serono, Novartis, Roche and Teva. GI received speaking honoraria from Biogen, Novartis, Sanofi, Merck, Roche, Almirall and Teva. FP received speaker honoraria and advisory board fees from Almirall, Bayer, Biogen, Celgene, Merck, Novartis, Roche, Sanofi-Genzyme and TEVA. He received research funding from Biogen, Merck, FISM (Fondazione Italiana Sclerosi Multipla), Reload Onlus Association and University of Catania. RA received honoraria as a speaker and for serving on scientific advisory boards from Bayer, Biogen, GSK, Merck, Novartis, Roche and Sanofi-Genzyme. CB received conference travel support from Biogen, Novartis, Bayer-Schering, Merck and Teva; he participated in Sanofi Aventis, Roche and Novartis clinical trials. MM has served on advisory board for Merck, has received speaker honoraria from Merck and Biogen. Her institution receives funding from Merck, Australian National Health Medical Research Council, Brain Foundation, Charles and Sylvia Viertel Foundation, Bethlehem Griffith Foundation and MS Research Australia. HB has received institutional (Monash University) funding from Biogen, F. Hoffmann-La Roche Ltd, Merck, Alexion, CSL and Novartis; has carried out contracted research for Novartis, Merck, F. Hoffmann-La Roche Ltd and Biogen; has taken part in speakers’ bureaus for Biogen, Genzyme, UCB, Novartis, F. Hoffmann-La Roche Ltd and Merck; has received personal compensation from Oxford Health Policy Forum for the Brain Health Steering Committee., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)

Background and Objectives: To evaluate the rate of return of disease activity after cessation of multiple sclerosis (MS) disease-modifying therapy., Methods: This was a retrospective cohort study from 2 large observational MS registries: MSBase and OFSEP. Patients with relapsing-remitting MS who had ceased a disease-modifying therapy and were followed up for the subsequent 12 months were included in the analysis. The primary study outcome was annualized relapse rate in the 12 months after disease-modifying therapy discontinuation stratified by patients who did, and did not, commence a subsequent therapy. The secondary endpoint was the predictors of first relapse and disability accumulation after treatment discontinuation., Results: A total of 14,213 patients, with 18,029 eligible treatment discontinuation epochs, were identified for 7 therapies. Annualized rates of relapse (ARRs) started to increase 2 months after natalizumab cessation (month 2-4 ARR 0.47, 95% CI 0.43-0.51). Commencement of a subsequent therapy within 2-4 months reduced the magnitude of disease reactivation (mean ARR difference: 0.15, 0.08-0.22). After discontinuation of fingolimod, rates of relapse increased overall (month 1-2 ARR: 0.80, 0.70-0.89) and stabilized faster in patients who started a new therapy within 1-2 months (mean ARR difference: 0.14, -0.01 to 0.29). The magnitude of disease reactivation for other therapies was low but reduced further by commencement of another treatment 1-10 months after treatment discontinuation. Predictors of relapse were a higher relapse rate in the year before cessation, female sex, younger age, and higher EDSS score. Commencement of a subsequent therapy reduced both the risk of relapse (HR 0.76, 95% CI 0.72-0.81) and disability accumulation (0.73, 0.65-0.80)., Discussion: The rate of disease reactivation after treatment cessation differs among MS treatments, with the peaks of relapse activity ranging from 1 to 10 months in untreated cohorts that discontinued different therapies. These results suggest that untreated intervals should be minimized after stopping antitrafficking therapies (natalizumab and fingolimod)., Classification of Evidence: This study provides Class III that disease reactivation occurs within months of discontinuation of MS disease-modifying therapies. The risk of disease activity is reduced by commencement of a subsequent therapy., (© 2022 American Academy of Neurology.)

Background: The MSBase prediction model of treatment response leverages multiple demographic and clinical characteristics to estimate hazards of relapses, confirmed disability accumulation (CDA), and confirmed disability improvement (CDI). The model did not include Multiple Sclerosis Severity Score (MSSS), a disease duration-adjusted ranked score of disability., Objective: To incorporate MSSS into the MSBase prediction model and compare model accuracy with and without MSSS., Methods: The associations between MSSS and relapse, CDA, and CDI were evaluated with marginal proportional hazards models adjusted for three principal components representative of patients' demographic and clinical characteristics. The model fit with and without MSSS was assessed with penalized r2 and Harrell C., Results: A total of 5866 MS patients were started on disease-modifying therapy during prospective follow-up (age 38.4 ± 10.6 years; 72% female; disease duration 8.5 ± 7.7 years). Including MSSS into the model improved the accuracy of individual prediction of relapses by 31%, of CDA by 23%, and of CDI by 24% (Harrell C) and increased the amount of variance explained for relapses by 49%, for CDI by 11%, and for CDA by 10% as compared with the original model., Conclusion: Addition of a single, readily available metric, MSSS, to the comprehensive MSBase prediction model considerably improved the individual accuracy of prognostics in MS.

Background: Early recognition of markers of faster disability worsening in paediatric-onset multiple sclerosis (MS) is a key requisite of personalised therapy for children with MS at the earliest possible time., Objective: To identify early predictors of rapid disability accrual in patients with paediatric-onset MS., Methods: Using the global MSBase registry, we identified patients who were <18 years old at the onset of MS symptoms. The clinico-demographic characteristics examined as predictors of future MS Severity Score (MSSS) included sex, age at symptom onset, absence of disability at the initial assessment, maximum Expanded Disability Status Scale (EDSS) score, relapse frequency and presence of brainstem, pyramidal, visual or cerebellar symptoms in the first year. A Bayesian log-normal generalised linear mixed model adjusted for cumulative proportion of time on higher-efficacy disease-modifying therapies (DMTs) was used to analyse the data., Results: 672 patients (70% female) contributing 9357 visits were included. The median age at symptom onset was 16 (quartiles 15-17) years. Older age at symptom onset (exp(β)=1.10 (95% CI 1.04 to 1.17)), higher EDSS score (1.22 (1.12 to 1.34)) and pyramidal (1.31 (1.11 to 1.55)), visual (1.25 (1.10 to 1.44)) or cerebellar (1.18 (1.01 to 1.38)) symptoms in the first year were associated with higher MSSS. MSSS was reduced by 4% for every 24% increase in the proportion of time on higher-efficacy DMTs (0.96 (0.93 to 0.99))., Conclusions: A relatively later onset of MS in childhood, higher disability and pyramidal, visual or cerebellar symptoms during the first year predicted significant worsening in disability in patients with paediatric-onset MS. Persistent treatment with higher-efficacy DMTs was associated with a reduced rate of disability worsening., Competing Interests: Competing interests: SS has nothing to disclose. CM has nothing to disclose. IR served on scientific advisory boards, received conference travel support and/or speaker honoraria from Roche, Novartis, Merck and Biogen. ID has nothing to disclose. RA received honoraria as a speaker and for serving on scientific advisory boards from Bayer, Biogen, GSK, Merck, Novartis, Roche and Sanofi-Genzyme. SO has nothing to disclose. GI received speaking honoraria from Biogen, Novartis, Sanofi, Merck, Roche, Almirall and Teva. SE received speaker honoraria and consultant fees from Biogen Idec, Novartis, Merck, Bayer, Sanofi Genzyme, Roche and Teva. DH received speaker honoraria and consulting fees from Biogen, Merck, Teva, Roche, Sanofi Genzyme and Novartis, as well as support for research activities from Biogen and Czech Ministry of Education (project Progres Q27/LF1). EKH received honoraria/research support from Biogen, Merck Serono, Novartis, Roche and Teva; has been a member of advisory boards for Actelion, Biogen, Celgene, MS, Novartis and SG; and has been supported by the Czech Ministry of Education research project PROGRES Q27/LF1. FP received speaker honoraria and advisory board fees from Almirall, Bayer, Biogen, Celgene, Merck, Novartis, Roche, Sanofi-Genzyme and TEVA. He received research funding from Biogen, Merck, FISM (Fondazione Italiana Sclerosi Multipla), Reload Onlus Association and University of Catania. MT received travel grants from Novartis, Bayer-Schering, Merck and Teva; and has participated in clinical trials by Sanofi Aventis, Roche and Novartis. CB received conference travel support from Biogen, Novartis, Bayer-Schering, Merck and Teva; and has participated in clinical trials by SA, Roche and Novartis. BY has nothing to disclose. SJK received personal compensation for participation in the Roche MaeStro Exchange Program and in Merck-Serono medical advisory board. MO has nothing to disclose. AL has received personal compensation for consulting, serving on a scientific advisory board, speaking or other activities from Biogen, Bristol Myers Squibb, Merck Serono, Mylan, Novartis, Roche, Sanofi/Genzyme and Teva. Her institutions have received research grants from Novartis (last 4 years). AA received personal fees and speaker honoraria from Teva, Merck, Biogen - Gen Pharma, Roche, Novartis, Bayer and Sanofi-Genzyme; and received travel and registration grants from Merck, Biogen - Gen Pharma, Roche, Sanofi-Genzyme and Bayer. AP has nothing to disclose. MG received consulting fees from Teva Canada Innovation, Biogen, Novartis and Genzyme Sanofi; and lecture payments from Teva Canada Innovation, Novartis and EMD. He has also received a research grant from Canadian Institutes of Health Research. PD served on editorial boards and has been supported to attend meetings by EMD, Biogen, Novartis, Genzyme and TEVA Neuroscience. He holds grants from the CIHR and the MS Society of Canada and has received funding for investigator-initiated trials from Biogen, Novartis and Genzyme. MJS has nothing to disclose. DS received honoraria as a consultant on scientific advisory boards by Bayer-Schering, Novartis and Sanofi-Aventis and compensation for travel from Novartis, Biogen, Sanofi Aventis, Teva and Merck. YS has nothing to disclose. RG has nothing to disclose. AS has nothing to disclose. RT has nothing to disclose. MPA received honoraria as a consultant on scientific advisory boards by Biogen, Bayer-Schering, Merck, Teva and Sanofi-Aventis; and has received research grants by Biogen, Bayer-Schering, Merck, Teva and Novartis. YF has nothing to disclose. TK served on scientific advisory boards for BMS, Roche, Sanofi Genzyme, Novartis, Merck and Biogen, steering committee for Brain Atrophy Initiative by Sanofi Genzyme; received conference travel support and/or speaker honoraria from WebMD Global, Novartis, Biogen, Sanofi-Genzyme, Teva, BioCSL and Merck; and received research or educational event support from Biogen, Novartis, Genzyme, Roche, Celgene and Merck., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)

Background and Objectives: Certain demographic and clinical characteristics, including the use of some disease-modifying therapies (DMTs), are associated with severe acute respiratory syndrome coronavirus 2 infection severity in people with multiple sclerosis (MS). Comprehensive exploration of these relationships in large international samples is needed., Methods: Clinician-reported demographic/clinical data from 27 countries were aggregated into a data set of 5,648 patients with suspected/confirmed coronavirus disease 2019 (COVID-19). COVID-19 severity outcomes (hospitalization, admission to intensive care unit [ICU], requiring artificial ventilation, and death) were assessed using multilevel mixed-effects ordered probit and logistic regression, adjusted for age, sex, disability, and MS phenotype. DMTs were individually compared with glatiramer acetate, and anti-CD20 DMTs with pooled other DMTs and with natalizumab., Results: Of 5,648 patients, 922 (16.6%) with suspected and 4,646 (83.4%) with confirmed COVID-19 were included. Male sex, older age, progressive MS, and higher disability were associated with more severe COVID-19. Compared with glatiramer acetate, ocrelizumab and rituximab were associated with higher probabilities of hospitalization (4% [95% CI 1-7] and 7% [95% CI 4-11]), ICU/artificial ventilation (2% [95% CI 0-4] and 4% [95% CI 2-6]), and death (1% [95% CI 0-2] and 2% [95% CI 1-4]) (predicted marginal effects). Untreated patients had 5% (95% CI 2-8), 3% (95% CI 1-5), and 1% (95% CI 0-3) higher probabilities of the 3 respective levels of COVID-19 severity than glatiramer acetate. Compared with pooled other DMTs and with natalizumab, the associations of ocrelizumab and rituximab with COVID-19 severity were also more pronounced. All associations persisted/enhanced on restriction to confirmed COVID-19., Discussion: Analyzing the largest international real-world data set of people with MS with suspected/confirmed COVID-19 confirms that the use of anti-CD20 medication (both ocrelizumab and rituximab), as well as male sex, older age, progressive MS, and higher disability are associated with more severe course of COVID-19., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Background and Purpose: The prevention of disability over the long term is the main treatment goal in multiple sclerosis (MS); however, randomized clinical trials evaluate only short-term treatment effects on disability. This study aimed to define criteria for 6-month confirmed disability progression events of MS with a high probability of resulting in sustained long-term disability worsening., Methods: In total, 14,802 6-month confirmed disability progression events were identified in 8741 patients from the global MSBase registry. For each 6-month confirmed progression event (13,321 in the development and 1481 in the validation cohort), a sustained progression score was calculated based on the demographic and clinical characteristics at the time of progression that were predictive of long-term disability worsening. The score was externally validated in the Cladribine Tablets Treating Multiple Sclerosis Orally (CLARITY) trial., Results: The score was based on age, sex, MS phenotype, relapse activity, disability score and its change from baseline, number of affected functional system domains and worsening in six of the domains. In the internal validation cohort, a 61% lower chance of improvement was estimated with each unit increase in the score (hazard ratio 0.39, 95% confidence interval 0.29-0.52; discriminatory index 0.89). The proportions of progression events sustained at 5 years stratified by the score were 1: 72%; 2: 88%; 3: 94%; 4: 100%. The results of the CLARITY trial were confirmed for reduction of disability progression that was &gt;88% likely to be sustained (events with score ˃1.5)., Conclusions: Clinicodemographic characteristics of 6-month confirmed disability progression events identify those at high risk of sustained long-term disability. This knowledge will allow future trials to better assess the effect of therapy on long-term disability accrual., (© 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)

Background: There is no information about the effects and usability of rehabilitation during corticosteroid treatment. This randomized clinical trial was conducted to evaluate and compare the effects and safety of exergaming and conventional rehabilitation (CR) on persons with multiple sclerosis (MS, pwMS) during corticosteroid treatment., Methods: The participants were randomly divided into two groups: Exergaming (n=15) and CR (n=15). Rehabilitation was applied by a physiotherapist who has expertise in MS. Measurements were done at baseline (T1), immediately after discharge (T2), and 1 month after discharge (T3). The outcome measures included upper extremity functions, walking, balance, cognitive functions, quality of life, depression, and fatigue., Results: The Nine Hole Peg Test, California Verbal Learning Test, Symbol Digit Modalities Test, MS Walking Scale-12, Six Spot Step Test showed a significant difference between T1 to T2 and T1 to T3 in the exergaming and CR groups (p < 0.05). The Timed 25 Foot Walk and Multiple Sclerosis International Quality of Life Questionnaire were significantly different between T1 to T3 in the exergaming and CR groups (p < 0.05). Brief Visuospatial Memory Test-Revised was significantly different between T1 to T3 and T2 to T3 in the exergaming and CR groups (p < 0.05). The MFIS showed a significant difference between T1 to T2 and T1 to T3 in the exergaming group (p < 0.05)., Conclusions: This study suggests that exergaming and CR are effective and safe methods for improving upper extremity, cognitive functions, fatigue, quality of life, balance, and walking ability in pwMS during the hospitalization period., (Copyright © 2022. Published by Elsevier B.V.)

Background and Objectives: The severity of multiple sclerosis (MS) varies widely among individuals. Understanding the determinants of this heterogeneity will help clinicians optimize the management of MS. The aim of this study was to investigate the association between latitude of residence, UV B radiation (UVB) exposure, and the severity of MS., Methods: This observational study used the MSBase registry data. The included patients met the 2005 or 2010 McDonald diagnostic criteria for MS and had a minimum dataset recorded in the registry (date of birth, sex, clinic location, date of MS symptom onset, disease phenotype at baseline and censoring, and ≥1 Expanded Disability Status Scale score recorded). The latitude of each study center and cumulative annualized UVB dose at study center (calculated from National Aeronautics and Space Administration's Total Ozone Mapping Spectrometer) at ages 6 and 18 years and the year of disability assessment were calculated. Disease severity was quantified with Multiple Sclerosis Severity Score (MSSS). Quadratic regression was used to model the associations between latitude, UVB, and MSSS., Results: The 46,128 patients who contributed 453,208 visits and a cumulative follow-up of 351,196 patient-years (70% women, mean age 39.2 ± 12 years, resident between latitudes 19°35' and 56°16') were included in this study. Latitude showed a nonlinear association with MS severity. In latitudes <40°, more severe disease was associated with higher latitudes (β = 0.08, 95% CI 0.04-0.12). For example, this translates into a mean difference of 1.3 points of MSSS between patients living in Madrid and Copenhagen. No such association was observed in latitudes <40° (β = -0.02, 95% CI -0.06 to 0.03). The overall disability accrual was faster in those with a lower level of estimated UVB exposure before the age of 6 years (β = - 0.5, 95% CI -0.6 to 0.4) and 18 years (β = - 0.6, 95% CI -0.7 to 0.4), as well as with lower lifetime UVB exposure at the time of disability assessment (β = -1.0, 95% CI -1.1 to 0.9)., Discussion: In temperate zones, MS severity is associated with latitude. This association is mainly, but not exclusively, driven by UVB exposure contributing to both MS susceptibility and severity., (© 2022 American Academy of Neurology.)

Background: Even though the prevalence of restless leg syndrome in multiple sclerosis (MS) is known to vary between 12.5% and 60%, the underlying pathophysiological mechanism remains unclear., Aim: This study aims to investigate the relationship between spinal cord lesions and restless leg syndrome in MS., Materials and Methods: In total, 959 persons with MS were enrolled in this study. Demographic and clinical data of persons with MS were recorded by interviewing and medical records. Neurologists blind to the presence of restless leg syndrome evaluated MRI scans for the presence of demyelinating lesions in the brainstem and spinal cord., Results: The restless leg syndrome was detected in 222 participants (23.15%). Restless leg syndrome was not significantly linked to mean age, body mass index, gender, and MS duration, but persons with MS with restless leg syndrome have a higher disability level ( p  = 0.044). In addition, no difference in the brainstem and thoracic cord was found between persons with MS with and without restless leg syndrome, while there is a significant relationship between the presence of cervical cord lesion and restless leg syndrome., Conclusion: Higher disability scores and characteristics of lesion patterns in the spinal cord could explain higher rates of restless leg syndrome in persons with MS. Considering the negative effects of restless leg syndrome, the increased awareness and treatment of restless leg syndrome among persons with MS is essential for better managing.

Objective: Restless legs syndrome is one of the most reported sleep disorders in multiple sclerosis (MS). The study aims to investigate the possible factors related to the occurrence and severity of restless legs syndrome in persons with MS (pwMS) comparing with healthy controls., Methods: This is a case-control study that included 447 pwMS and 57 healthy controls. Demographic and clinical data such as gender, age, duration of education, body mass index, marital status, disease duration, and MS type were recorded. Neurological disability was assessed by the Expanded Disability Status Scale. The Restless Legs Syndrome Rating Scale was used to assess the severity of restless legs syndrome., Results: The prevalence of restless legs syndrome in pwMS was 133 (29.8%) and 3 (4.9%) in healthy controls (p < 0.001). There was no significant difference between the groups in terms of gender, body mass index, and MS type (p > 0.05). Patients with restless legs syndrome have more advanced age, longer disease duration, and higher Expanded Disability Status Scale scores than patients without restless legs syndrome (p < 0.05). The correlation between restless legs syndrome severity and age, Expanded Disability Status Scale score, disease duration was not statistically significant (p > 0.05)., Conclusions: This study has shown that the presence of restless legs syndrome is high in persons with MS compared to healthy controls. Advanced age, disease duration, and higher disability level could be related to the increased rate of restless legs syndrome in persons with MS, especially those with high-frequency symptoms.

Background: Multiple sclerosis (MS) is an immune-mediated disorder of the central nervous system. DMTs effectively reduce the annual relapse rate-thus reducing disease activity-and, to a lesser extent, some DMTs prevent disease progression in some people with MS. Monitoring the efficacy of DMTs with no evidence disease activity (NEDA) provides an objective perspective for evaluating treatment success., Objective: Our goal is to detect the prevalence of NEDA-3 in people with MS treated with self-injectable DMTs at two years and 10 years in a retrospective study., Methods: The treatment continuation rates and NEDA-3 parameters in the 2nd and 10th years were evaluated., Results: A total of 1032 patients diagnosed with RRMS were included in the study, and 613 patients (59.3%) continued with treatment after 10 years. In the first two years, NEDA-3 was detected in 321 patients (52.4%), and 112 of the 613 patients continued with self-injectable DMTs at the end of 10 years (18.3%). The rate of NEDA-3 in patients starting treatment over the age of 35 was 15.1% compared to that in the patient group starting treatment aged 34 or less at 20.2% (p = .004)., Conclusion: Our study includes the most comprehensive NEDA-3 data from real world evidence and supports the idea that NEDA-3 can be an effective early predictor of progression-free status at treatment follow-up of up to 10 years., (© 2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: Disease-modifying therapy could weaken the immune system and decrease the immune response to vaccines. It is essential to know which vaccine is more protective against SARS-CoV-2 in the multiple sclerosis population., Objective: To assess immune response after messenger RNA BNT162b2 (Pfizer/BioNTech) and inactivated Sinovac vaccines in people with multiple sclerosis (pwMS) treated with a disease-modifying therapy (DMT) compared to healthy controls., Methods: This single-center cross-sectional study included 526 MS patients treated with DMT, 44 healthy controls, and 21 untreated patients with MS between May 2021 and September 2021. Serum samples were collected at least two weeks after the second dose of the vaccine., Results: Participants vaccinated with BNT162b2 had a higher antibody titer than the Sinovac group (95%CI=1.023 - 1.473; p< .001). No significant difference between antibody titer of pwMS without treatment and HC was found [95%CI= -0.882; - 0.935 p > .99]. In 65 adults without DMT use (HC+pwMSwithout treatment), no seronegative cases were observed in any vaccine group. In patients treated with DMT, BNT162b2 was associated with a 16.3% greater absolute risk of seropositivity than Sinovac., Conclusion: The mRNA vaccine could be a preferred choice of protection against SARS-CoV-2 in pMS treated with DMT., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Background: COVID-19 is a multisystemic infection with variables consequences depending on individual and comorbid conditions. The course and outcomes of COVID-19 during neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disorders (MOGAD) are not clearly known., Objective/methods: The aim of this study was to examine the features and outcomes of COVID-19 infection in NMOSD and MOGAD patients. The patients' demographic and clinical factors, disease modifying treatment (DMT) used and disease information of COVID-19 infection were recorded. Conditions leading to hospitalization and severe exposure to COVID-19 infection were also analyzed., Results: The study included 63 patients from 25 centers. Thirty-two patients (50.8%) belong to AQP-4 seropositive group, 13 (20.6%) and 18 (28.6%) were in MOG-positive and double-seronegative groups, respectively. Risk factors for severe COVID-19 infection and hospitalization were advanced age, high disability level and the presence of comorbid disease. Disease severity was found to be high in double-seronegative NMOSD and low in MOGAD patients. No statistically significant effect of DMTs on disease severity and hospitalization was found., Conclusion: In NMOSD and MOGAD patients, advanced age, high disability and presence of comorbid disease pose risks for severe COVID-19 infection. There was no direct significant effect of DMTs for COVID-19 infection., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: Coronavirus disease of the 2019 pandemic caused much fear among people with chronic diseases and those on immunosuppressant treatment because of spreading knowledge that the infection has a fatal course in these populations. People with Multiple Sclerosis on ocrelizumab treatment share this fear too. We aimed to investigate treatment and lifestyle changes of people with multiple sclerosis on ocrelizumab treatment during the lockdown., Methods: We surveyed 199 of our registered multiple sclerosis patients on ocrelizumab treatment by phone., Results: In this survey, delays in treating 22 (11%) patients were not caused by fear of immunosuppressive drug use but rather by the general fear of contracting a fatal disease, which is the case during traveling and hospital visits. There was a positive correlation between living alone and treatment delay ( P  = .029), emphasizing the role of family support or just the presence of another person during the pandemic., Conclusion: Vaccines might soon solve the pandemic's issue, which is not the case with multiple sclerosis progression, so we should think twice before discontinuing the treatment., Competing Interests: The authors declare that they have no competing interests., (© 2021 Japanese Society of Neurology and John Wiley & sons Australia, Ltd.)

Background: Examining leisure-time physical activity in people with multiple sclerosis (PwMS) from different environmental backgrounds might increase understanding and awareness of inactivity in PwMS. Therefore, the study objective was twofold; to compare the level of physical activity in PwMS in Israel and Turkey and to examine the relationship between the level of physical activity with common disease-related symptoms and demographical characteristics of PwMS., Methods: Cross-sectional data collected by two centers were combined. The physical activity level was determined by the Godin Leisure-Time Exercise Questionnaire, and subsequently, classified into one of three subgroups: "active", "moderately active" and "insufficiently active". Logistic regressions determined the risks of insufficiently active PwMS, according to age, gender, body mass index, disability, impact of walking impairment, disease duration, type of MS and perceived fatigue. The analysis of variance test determined the differences between countries in terms of outcome variables., Results: The study comprised 458 patients from Israel and 575 from Turkey; 68.2% Turkish PwMS were classified as insufficiently active compared with 52.0% of Israeli PwMS. The percentage of insufficiently active PwMS was significantly higher in those categorized as fatigued compared to non-fatigued in the total cohort (72.4% vs. 51.9%, p<0.001) and in each country separately. Based on the regression analysis, fatigue was the main factor associated with the insufficiently physically active group; odds ratio=1.968., Conclusion: PwMS with increased fatigue tend to participate in less leisure-time physical activities compared with the non-fatigued. This observation is supported by the merged data collected from two countries, Turkey and Israel, representing PwMS from different environmental backgrounds., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background and Objectives: People with multiple sclerosis (MS) are a vulnerable group for severe coronavirus disease 2019 (COVID-19), particularly those taking immunosuppressive disease-modifying therapies (DMTs). We examined the characteristics of COVID-19 severity in an international sample of people with MS., Methods: Data from 12 data sources in 28 countries were aggregated (sources could include patients from 1-12 countries). Demographic (age, sex), clinical (MS phenotype, disability), and DMT (untreated, alemtuzumab, cladribine, dimethyl fumarate, glatiramer acetate, interferon, natalizumab, ocrelizumab, rituximab, siponimod, other DMTs) covariates were queried, along with COVID-19 severity outcomes, hospitalization, intensive care unit (ICU) admission, need for artificial ventilation, and death. Characteristics of outcomes were assessed in patients with suspected/confirmed COVID-19 using multilevel mixed-effects logistic regression adjusted for age, sex, MS phenotype, and Expanded Disability Status Scale (EDSS) score., Results: Six hundred fifty-seven (28.1%) with suspected and 1,683 (61.9%) with confirmed COVID-19 were analyzed. Among suspected plus confirmed and confirmed-only COVID-19, 20.9% and 26.9% were hospitalized, 5.4% and 7.2% were admitted to ICU, 4.1% and 5.4% required artificial ventilation, and 3.2% and 3.9% died. Older age, progressive MS phenotype, and higher disability were associated with worse COVID-19 outcomes. Compared to dimethyl fumarate, ocrelizumab and rituximab were associated with hospitalization (adjusted odds ratio [aOR] 1.56, 95% confidence interval [CI] 1.01-2.41; aOR 2.43, 95% CI 1.48-4.02) and ICU admission (aOR 2.30, 95% CI 0.98-5.39; aOR 3.93, 95% CI 1.56-9.89), although only rituximab was associated with higher risk of artificial ventilation (aOR 4.00, 95% CI 1.54-10.39). Compared to pooled other DMTs, ocrelizumab and rituximab were associated with hospitalization (aOR 1.75, 95% CI 1.29-2.38; aOR 2.76, 95% CI 1.87-4.07) and ICU admission (aOR 2.55, 95% CI 1.49-4.36; aOR 4.32, 95% CI 2.27-8.23), but only rituximab was associated with artificial ventilation (aOR 6.15, 95% CI 3.09-12.27). Compared to natalizumab, ocrelizumab and rituximab were associated with hospitalization (aOR 1.86, 95% CI 1.13-3.07; aOR 2.88, 95% CI 1.68-4.92) and ICU admission (aOR 2.13, 95% CI 0.85-5.35; aOR 3.23, 95% CI 1.17-8.91), but only rituximab was associated with ventilation (aOR 5.52, 95% CI 1.71-17.84). Associations persisted on restriction to confirmed COVID-19 cases. No associations were observed between DMTs and death. Stratification by age, MS phenotype, and EDSS score found no indications that DMT associations with COVID-19 severity reflected differential DMT allocation by underlying COVID-19 severity., Discussion: Using the largest cohort of people with MS and COVID-19 available, we demonstrated consistent associations of rituximab with increased risk of hospitalization, ICU admission, and need for artificial ventilation and of ocrelizumab with hospitalization and ICU admission. Despite the cross-sectional design of the study, the internal and external consistency of these results with prior studies suggests that rituximab/ocrelizumab use may be a risk factor for more severe COVID-19., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Introduction: Natalizumab has proved to be more effective than fingolimod in reducing disease activity in relapsing-remitting multiple sclerosis (RRMS). Whether this association is universal for all patient groups remains to be determined., Objective: The aim of this study was to compare the relative effectiveness of natalizumab and fingolimod in RRMS subgroups defined by the baseline demographic and clinical characteristics of interest., Methods: Patients with RRMS who were given natalizumab or fingolimod were identified in a merged cohort from three international registries. Efficacy outcomes were compared across subgroups based on patients' sex, age, disease duration, Expanded Disability Status Scale (EDSS) score, and disease and magnetic resonance imaging (MRI) activity 12 months prior to treatment initiation. Study endpoints were number of relapses (analyzed with weighted negative binomial generalized linear model) and 6-month confirmed disability worsening and improvement events (weighted Cox proportional hazards model), recorded during study therapy. Each patient was weighted using inverse probability of treatment weighting based on propensity score., Results: A total of 5148 patients (natalizumab 1989; fingolimod 3159) were included, with a mean ± standard deviation age at baseline of 38 ± 10 years, and the majority (72%) were women. The median on-treatment follow-up was 25 (quartiles 15-41) months. Natalizumab was associated with fewer relapses than fingolimod (incidence rate ratio [IRR]; 95% confidence interval [CI]) in women (0.76; 0.65-0.88); in those aged ≤ 38 years (0.64; 0.54-0.76); in those with disease duration ≤ 7 years (0.63; 0.53-0.76); in those with EDSS score < 4 (0.75; 0.64-0.88), < 6 (0.80; 0.70-0.91), and ≥ 6 (0.52; 0.31-0.86); and in patients with pre-baseline relapses (0.74; 0.64-0.86). A higher probability of confirmed disability improvement on natalizumab versus fingolimod (hazard ratio [HR]; 95% CI) was observed among women (1.36; 1.10-1.66); those aged > 38 years (1.34; 1.04-1.73); those with disease duration > 7 years (1.33; 1.01-1.74); those with EDSS score < 6 (1.21; 1.01-1.46) and ≥ 6 (1.93; 1.11-3.34); and patients with no new MRI lesion (1.73; 1.19-2.51)., Conclusions: Overall, in women, younger patients, those with shorter disease durations, and patients with pre-treatment relapses, natalizumab was associated with a lower frequency of multiple sclerosis relapses than fingolimod. It was also associated with an increased chance of recovery from disability among most patients, particularly women and those with no recent MRI activity., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: The multiple sclerosis (MS) landscape has changed over the past two decades across the world and in the Middle East. The Middle East is an ethnically diverse region located between 12° and 42° of latitude and 35° and 54° of longitude and varying altitudes. The magnitude of the shifts observed in the epidemiology and management of MS differ in each region and from country to country., Objectives: The aim of this study was to provide a clinicodemographic overview of the cohorts of patients contributed to MSBase, a large international MS registry, in the Middle East and describe disease-modifying treatment (DMT) utilization in the different countries within the region. Understanding the differences between these cohorts is integral to interpretation of the studies conducted using registry data and provides insight into clinical practice in these cohorts., Methods: The MSBase registry was searched for patients with MS or clinically isolated syndrome from the Middle Eastern countries with data captured between 2009 and 2018. In 2-year epochs, and with special focus on the most recent epoch (2017-2018), we explored the demographic, clinical characteristics and treatment exposures of the studied cohorts and reported the results using standard descriptive statistics., Results: Over the 10-year study period, 13,356 patients from 17 centers in 8 Middle Eastern countries fulfilled the inclusion criteria. The represented countries were Egypt, Iran, Kuwait, Lebanon, Oman, Saudi Arabia, Turkey and the United Arab Emirates. Overall, the represented cohort was young (median 36 years, quartiles 29-45) and captured relatively early after the onset of MS (median disease duration < 10 years, quartiles 3-12). The relapsing-remitting phenotype was the most prevalent phenotype in all countries (73-97%) and the highest proportion of progressive MS was reported in Saudi Arabia (12%). Median Expanded Disability Status Scale (EDSS) ranged from 0 to 3, depicting a mildly disabled cohort, with the exception of Saudi Arabia where the median EDSS was 4 (quartiles 1.5-6.5). The median relapse frequency was highest in Lebanon (median 1.03, 95% CI 0.94-1.16) followed by Egypt (median 1.02, 95% CI 0.89-1.24) and lowest in Saudi Arabia (median 0.70, 95% CI 0.58-0.95) and Kuwait (median 0.75, 95% CI 0.71-0.80). The treatment landscape greatly varied between different countries. Platform injectable therapies were mostly utilized in Egypt, Iran and Turkey (86%, 79% and 53%, respectively), while oral therapies and monoclonal antibodies were more commonly used in Kuwait, Lebanon and the United Arab Emirates (87.2%, 67.3% and 58.7%, respectively)., Conclusion: Patients in the Middle East enrolled in a large multinational registry are representative of the general MS population. The spectrum of therapies used in the individual countries, however, is highly variable. Further studies that include rural and non-academic practices are needed to enhance our understanding of the MS cohorts in the Middle East., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Smoking is associated with increased multiple sclerosis (MS) risk. In addition, some studies have reported that smoking is associated with anxiety and depression. However, the associations between smoking, walking, and fatigue are needed to be investigated. The objective was to investigate the associations between cigarette smoking and walking, fatigue, depression symptom severity, and health-related quality of life in persons with MS. Two hundred seventy-nine persons with MS were evaluated in this cross-sectional study. Study outcomes were neurological disability level, walking speed, walking endurance, perceived walking impact of MS, fatigue, depression symptom severity, and health-related quality of life. There were 95 (34.1%) current smokers who had significantly higher fatigue (p = 0.003, pη 2  = 0.031) and depression (p = 0.044, pη 2  = 0.015), and lower health-related quality of life (p = 0.003, pη 2  = 0.031) after adjusting for age, gender, neurological disability level, and disease duration compared to non-smokers (n = 184). There was no significant difference between smokers and non-smokers in walking measures (p > 0.05). Smoking intensity was significantly correlated with age (r = 0.487), neurological disability level (r = 0.227), disease duration (r = 0.30), walking speed (r = 0.574), walking endurance (r =  - 0.461), perceived walking impact of MS (r = 0.684), fatigue (r = 0.370), health-related quality of life (r =  - 0.259), and depression (r = 0.269) in current smokers. Cigarette smokers with MS had significantly more fatigue and depression symptom severity and less health-related quality of life compared to non-smokers. Increased pack-years of cigarette smoking was associated with worse walking ability and health-related quality of life, and greater depression symptom severity and fatigue., (© 2020. Belgian Neurological Society.)

Background: A delayed onset of treatment effect, termed therapeutic lag, may influence the assessment of treatment response in some patient subgroups., Objectives: The objective of this study is to explore the associations of patient and disease characteristics with therapeutic lag on relapses and disability accumulation., Methods: Data from MSBase, a multinational multiple sclerosis (MS) registry, and OFSEP, the French MS registry, were used. Patients diagnosed with MS, minimum 1 year of exposure to MS treatment and 3 years of pre-treatment follow-up, were included in the analysis. Studied outcomes were incidence of relapses and disability accumulation. Therapeutic lag was calculated using an objective, validated method in subgroups stratified by patient and disease characteristics. Therapeutic lag under specific circumstances was then estimated in subgroups defined by combinations of clinical and demographic determinants., Results: High baseline disability scores, annualised relapse rate (ARR) ⩾ 1 and male sex were associated with longer therapeutic lag on disability progression in sufficiently populated groups: females with expanded disability status scale (EDSS) < 6 and ARR < 1 had mean lag of 26.6 weeks (95% CI = 18.2-34.9), males with EDSS < 6 and ARR < 1 31.0 weeks (95% CI = 25.3-36.8), females with EDSS < 6 and ARR ⩾ 1 44.8 weeks (95% CI = 24.5-65.1), and females with EDSS ⩾ 6 and ARR < 1 54.3 weeks (95% CI = 47.2-61.5)., Conclusions: Pre-treatment EDSS and ARR are the most important determinants of therapeutic lag.

Background and Objectives: Research in Multiple Sclerosis (MS) has recently focused on extracting knowledge from real-world clinical data sources. This type of data is more abundant than data produced during clinical trials and potentially more informative about real-world clinical practice. However, this comes at the cost of less curated and controlled data sets. In this work we aim to predict disability progression by optimally extracting information from longitudinal patient data in the real-world setting, with a special focus on the sporadic sampling problem., Methods: We use machine learning methods suited for patient trajectories modeling, such as recurrent neural networks and tensor factorization. A subset of 6682 patients from the MSBase registry is used., Results: We can predict disability progression of patients in a two-year horizon with an ROC-AUC of 0.85, which represents a 32% decrease in the ranking pair error (1-AUC) compared to reference methods using static clinical features., Conclusions: Compared to the models available in the literature, this work uses the most complete patient history for MS disease progression prediction and represents a step forward towards AI-assisted precision medicine in MS., Competing Interests: Declaration of Competing Interest The authors declare the following conflicts of interest., (Copyright © 2021. Published by Elsevier B.V.)

Objective: To compare the clinical effectiveness of high- and low-efficacy treatments in patients with recently active and inactive secondary progressive multiple sclerosis (SPMS) after accounting for therapeutic lag., Methods: Patients treated with high-efficacy (natalizumab, alemtuzumab, mitoxantrone, ocrelizumab, rituximab, cladribine, fingolimod) or low-efficacy (interferon beta, glatiramer acetate, teriflunomide) therapies after SPMS onset were selected from MSBase and Observatoire Français de la Sclérose en Plaques (OFSEP), 2 large observational cohorts. Therapeutic lag was estimated for each patient from their demographic and clinical characteristics. Propensity score was used to match patients treated with high- and low-efficacy therapies. Outcomes after the period of therapeutic lag was disregarded were compared in paired, pairwise-censored analyses., Results: One thousand patients were included in the primary analysis. Patients with active SPMS treated with high-efficacy therapy experienced less frequent relapses than those on low-efficacy therapy (hazard ratio [HR] 0.7, p = 0.006). In patients with inactive SPMS, there was no evidence for a difference in relapse frequency between groups (HR 0.8, p = 0.39). No evidence for a difference in the risk of disability progression was observed., Conclusion: In treated patients with SPMS, high-efficacy therapy is superior to low-efficacy therapy in reducing relapses in patients with active but not those with inactive SPMS. However, more potent therapies do not offer an advantage in reducing disability progression in this patient group., Classification of Evidence: This study provides Class III evidence that high-efficacy therapy is superior to low-efficacy therapy in reducing relapses in patients with active SPMS, although we did not find a difference in disability progression between patients treated with high- and low-efficacy therapy., (© 2021 American Academy of Neurology.)

Background: Multiple sclerosis (MS) is a chronic, progressive, and neurodegenerative central nervous system disorder. MS usually causes disability, cognitive deficiency, fatigue, and depression symptoms., Objectives: To assess cognitive functions of people with MS (pwMS) and investigate the impact of depression, fatigue, and disability on cognitive functions., Methods: We administered the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) battery to assess 200 pwMS. The Expanded Disability Status Scale (EDSS) was used to evaluate disability levels. Fatigue Severity Scale (FSS) and the Beck Depression Inventory (BDI) were used, respectively, for fatigue and depression levels., Results: EDSS and FSS scores were significantly higher in those with a disease duration of 5 years or more. Those with the EDSS ≥ 4 were found to have lower BICAMS performances and higher FSS scores. There was a significant difference in Symbol Digit Modalities Test (SDMT) performances between the groups with and without fatigue (FSS ≥ 4 and FSS < 4, respectively). When depression and fatigue symptoms concur or in the existence of just one of them or none of them, significant differences in terms of SDMT performances have been shown., Conclusion: The level of disability and fatigue adversely affects the cognitive functions of pwMS; depression has no significant effect. BICAMS that is specific for MS can be beneficial to assess the cognitive state of pwMS., (© 2020. Royal Academy of Medicine in Ireland.)

Background: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening., Methods: By re-analyzing original published results from MSBase, France, and Denmark using uniform methodologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/exclusion criteria and statistical methods with Inverse Probability Treatment Weighting., Results: The pooled analyses comprised 968 natalizumab- and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod., Conclusion: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Objective: The Manual Ability Measure-36 (MAM-36) has been used to assess subjective upper limb function in people with several neurological and non-neurological diseases. Besides, the MAM-36 is one of the most commonly used patient-reported outcome measures (PROMs) in people with multiple sclerosis (pwMS). The aim was to translate and conduct cross-cultural adaptation of the MAM-36 into Turkish and investigate its psychometric properties in pwMS., Methods: The MAM-36 was translated and culturally adapted into Turkish. Two hundred pwMS were recruited for the psychometric study. Hand skills, handgrip strength, upper limb spasticity, disability level, and quality of life were evaluated by the validated performance-based tests and questionnaires including the Arm Function in Multiple Sclerosis Questionnaire (AMSQ) which is a validated MS-specific PROM to assess upper limb function., Results: MAM-36 was significantly correlated with the performance-based tests and questionnaires, EDSS, age, and disease duration (p < 0.05). MAM-36 and AMSQ were strongly correlated (r s  = - 0.90, p < 0.01). PwMS with spasticity had significantly lower MAM-36 scores compared to those without spasticity (p < 0.01). Internal consistency (Cronbach's alpha = 0.97) and test-retest reliability (ICC = 0.97) was high., Conclusion: The Turkish version of MAM-36 has been found as a valid and reliable method for measuring upper limb function in pwMS.

Objective: To investigate pregnancy-related disease activity in a contemporary multiple sclerosis (MS) cohort., Methods: Using data from the MSBase Registry, we included pregnancies conceived after 31 Dec 2010 from women with relapsing-remitting MS or clinically isolated syndrome. Predictors of intrapartum relapse, and postpartum relapse and disability progression were determined by clustered logistic regression or Cox regression analyses., Results: We included 1998 pregnancies from 1619 women with MS. Preconception annualized relapse rate (ARR) was 0.29 (95% CI 0.27-0.32), fell to 0.19 (0.14-0.24) in third trimester, and increased to 0.59 (0.51-0.67) in early postpartum. Among women who used fingolimod or natalizumab, ARR before pregnancy was 0.37 (0.28-0.49) and 0.29 (0.22-0.37), respectively, and increased during pregnancy. Intrapartum ARR decreased with preconception dimethyl fumarate use. ARR spiked after delivery across all DMT groups. Natalizumab continuation into pregnancy reduced the odds of relapse during pregnancy (OR 0.76 per month [0.60-0.95], p=0.017). DMT re-initiation with natalizumab protected against postpartum relapse (HR 0.11 [0.04-0.32], p<0.0001). Breastfeeding women were less likely to relapse (HR 0.61 [0.41-0.91], p=0.016). 5.6% of pregnancies were followed by confirmed disability progression, predicted by higher relapse activity in pregnancy and postpartum., Conclusion: Intrapartum and postpartum relapse probabilities increased among women with MS after natalizumab or fingolimod cessation. In women considered to be at high relapse risk, use of natalizumab before pregnancy and continued up to 34 weeks gestation, with early re-initiation after delivery is an effective option to minimize relapse risks. Strategies of DMT use have to be balanced against potential fetal/neonatal complications., (© 2021 American Academy of Neurology.)

Background: Cognitive reserve (CR) is the ability to counteract brain damage through differential recruitment of brain networks. Besides, it has also been observed that lifetime intellectual enriching skills reduce the effect of disease burden on cognitive status. The Cognitive Reserve Index questionnaire (CRIq), which is a method for the quantitative measurement and comprehensive evaluation of the CR, that individuals have accumulated throughout their lifetimes. The present study aimed to adapt CRIq to the Turkish population., Methods: CRIq is a 20-item questionnaire consisting of 3 sub-scales (CRI-Education, CRI- Working Activity, CRI-Leisure Time). 271 females and 228 males, a total of 499 healthy volunteers participated in the study (mean age: 39.54±14.05, mean education years 13.14±4.84). Participants were evaluated with the "Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS)" and CRIq was applied. BICAMS was used to determine the validity of the CRIq. To determine the reliability, the questionnaire was applied again two weeks after the first application. Internal consistency and test-retest reliability were measured for reliability analysis. Independent sample t-test was conducted to observe the difference between genders., Results: The Cronbach alpha coefficient of the questionnaire was 0.78, and the reliability of the questionnaire was acceptable. The findings showed that inter-rater reliability was quite high (ICC:0.95, 95% CI=1.000, n=36). The correlation between the first and second application of the questionnaire was found to be acceptable for both the sub-scales and the whole questionnaire. The highest CRIq scores were shown for young adults in CRI-Education and CRI-LeisureTime, for the middle-aged in CRIq-WorkingActivity, no significant differences in total CRIq scores. The males scored significantly higher in CRIq total scores than females, but there was not a significant difference in CRI-LeisureTime between genders., Conclusion: The Turkish version of CRIq was found to be a valid and reliable method for evaluating cognitive reserve in healthy individuals., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: Cerebellar and brainstem symptoms are common in early stages of multiple sclerosis (MS) yet their prognostic values remain unclear., Objective: The aim of this study was to investigate long-term disability outcomes in patients with early cerebellar and brainstem symptoms., Methods: This study used data from MSBase registry. Patients with early cerebellar/brainstem presentations were identified as those with cerebellar/brainstem relapse(s) or functional system score ⩾ 2 in the initial 2 years. Early pyramidal presentation was chosen as a comparator. Andersen-Gill models were used to compare cumulative hazards of (1) disability progression events and (2) relapses between patients with and without early cerebellar/brainstem symptoms. Mixed effect models were used to estimate the associations between early cerebellar/brainstem presentations and expanded disability status scale (EDSS) scores., Results: The study cohort consisted of 10,513 eligible patients, including 2723 and 3915 patients with early cerebellar and brainstem symptoms, respectively. Early cerebellar presentation was associated with greater hazard of progression events (HR = 1.37, p  < 0.001) and EDSS (β = 0.16, p  < 0.001). Patients with early brainstem symptoms had lower hazard of progression events (HR = 0.89, p  = 0.01) and EDSS (β = -0.06, p  < 0.001). Neither presentation was associated with changes in relapse risk., Conclusion: Early cerebellar presentation is associated with unfavourable outcomes, while early brainstem presentation is associated with favourable prognosis. These presentations may be used as MS prognostic markers and guide therapeutic approach.

Background: The magnetic resonance imaging in multiple sclerosis (MAGNIMS) score combines relapses and magnetic resonance imaging (MRI) lesions to predict disability outcomes in relapsing-remitting multiple sclerosis (RRMS) treated with interferon-β., Objective: To validate the MAGNIMS score and extend to other disease-modifying therapies (DMTs). To examine the prognostic value of gadolinium contrast-enhancing (Gd+) lesions., Methods: This RRMS MSBase cohort study ( n  = 2293) used a Cox model to examine the prognostic value of relapses, MRI activity and the MAGNIMS score for disability worsening during treatment with interferon-β and three other DMTs., Results: Three new T2 lesions (hazard ratio (HR) = 1.60, p  = 0.028) or two relapses (HR = 2.24, p  = 0.002) on interferon-β (for 12 months) were predictive of disability worsening over 4 years. MAGNIMS score = 2 (1 relapse and ⩾3 T2 lesions or ⩾2 relapses) was associated with a greater risk of disability worsening on interferon-β (HR = 2.0, p  = 0.001). In pooled cohort of four DMTs, similar associations were seen (MAGNIMS score = 2: HR = 1.72, p  = 0.001). Secondary analyses demonstrated that the addition of Gd+ to the MAGNIMS did not materially improve its prediction of disability worsening., Conclusion: We have validated the MAGNIMS score in RRMS and extended its application to three other DMTs: 1 relapse and ⩾3 T2 lesions or ⩾2 relapses predicted worsening of disability. Contrast-enhancing lesions did not substantially improve the prognostic score.

Objective: To compare the effectiveness of glatiramer acetate (GA) vs intramuscular interferon beta-1a (IFN-β-1a), we applied a previously published statistical method aimed at identifying patients' profiles associated with efficacy of treatments., Methods: Data from 2 independent multiple sclerosis datasets, a randomized study (the Combination Therapy in Patients With Relapsing-Remitting Multiple Sclerosis [CombiRx] trial, evaluating GA vs IFN-β-1a) and an observational cohort extracted from MSBase, were used to build and validate a treatment response score, regressing annualized relapse rates (ARRs) on a set of baseline predictors., Results: The overall ARR ratio of GA to IFN-β-1a in the CombiRx trial was 0.72. The response score (made up of a linear combination of age, sex, relapses in the previous year, disease duration, and Expanded Disability Status Scale score) detected differential response of GA vs IFN-β-1a: in the trial, patients with the largest benefit from GA vs IFN-β-1a (lower score quartile) had an ARR ratio of 0.40 (95% confidence interval [CI] 0.25-0.63), those in the 2 middle quartiles of 0.90 (95% CI 0.61-1.34), and those in the upper quartile of 1.14 (95% CI 0.59-2.18) (heterogeneity p = 0.012); this result was validated on MSBase, with the corresponding ARR ratios of 0.58 (95% CI 0.46-0.72), 0.92 (95% CI 0.77-1.09,) and 1.29 (95% CI 0.97-1.71); heterogeneity p < 0.0001)., Conclusions: We demonstrate the possibility of a criterion, based on patients' characteristics, to choose whether to treat with GA or IFN-β-1a. This result, replicated on an independent real-life cohort, may have implications for clinical decisions in everyday clinical practice., (© 2020 American Academy of Neurology.)

Background: Methodological challenges limit the use of brain atrophy and lesion burden measures in the follow-up of multiple sclerosis (MS) patients on clinical routine datasets., Objective: To determine the feasibility of T2-FLAIR-only measures of lateral ventricular volume (LVV) and salient central lesion volume (SCLV), as markers of disability progression (DP) in MS., Methods: A total of 3,228 MS patients from 9 MSBase centers in 5 countries were enrolled. Of those, 2,875 (218 with clinically isolated syndrome, 2,231 with relapsing-remitting and 426 with progressive disease subtype) fulfilled inclusion and exclusion criteria. Patients were scanned on either 1.5 T or 3 T MRI scanners, and 5,750 brain scans were collected at index and on average after 42.3 months at post-index. Demographic and clinical data were collected from the MSBase registry. LVV and SCLV were measured on clinical routine T2-FLAIR images., Results: Longitudinal LVV and SCLV analyses were successful in 96% of the scans. 57% of patients had scanner-related changes over the follow-up. After correcting for age, sex, disease duration, disability, disease-modifying therapy and LVV at index, and follow-up time, MS patients with DP (n = 671) had significantly greater absolute LVV change compared to stable (n = 1,501) or disability improved (DI, n = 248) MS patients (2.0 mL vs. 1.4 mL vs. 1.1 mL, respectively, ANCOVA p < 0.001, post-hoc pair-wise DP vs. Stable p = 0.003; and DP vs. DI, p = 0.002). Similar ANCOVA model was also significant for SCLV (p = 0.03)., Conclusions: LVV-based atrophy and SCLV-based lesion outcomes are feasible on clinically acquired T2-FLAIR scans in a multicenter fashion and are associated with DP over mid-term., (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)

In multiple sclerosis, treatment start or switch is prompted by evidence of disease activity. Whilst immunomodulatory therapies reduce disease activity, the time required to attain maximal effect is unclear. In this study we aimed to develop a method that allows identification of the time to manifest fully and clinically the effect of multiple sclerosis treatments ('therapeutic lag') on clinical disease activity represented by relapses and progression-of-disability events. Data from two multiple sclerosis registries, MSBase (multinational) and OFSEP (French), were used. Patients diagnosed with multiple sclerosis, minimum 1-year exposure to treatment, minimum 3-year pretreatment follow-up and yearly review were included in the analysis. For analysis of disability progression, all events in the subsequent 5-year period were included. Density curves, representing incidence of relapses and 6-month confirmed progression events, were separately constructed for each sufficiently represented therapy. Monte Carlo simulations were performed to identify the first local minimum of the first derivative after treatment start; this point represented the point of stabilization of treatment effect, after the maximum treatment effect was observed. The method was developed in a discovery cohort (MSBase), and externally validated in a separate, non-overlapping cohort (OFSEP). A merged MSBase-OFSEP cohort was used for all subsequent analyses. Annualized relapse rates were compared in the time before treatment start and after the stabilization of treatment effect following commencement of each therapy. We identified 11 180 eligible treatment epochs for analysis of relapses and 4088 treatment epochs for disability progression. External validation was performed in four therapies, with no significant difference in the bootstrapped mean differences in therapeutic lag duration between registries. The duration of therapeutic lag for relapses was calculated for 10 therapies and ranged between 12 and 30 weeks. The duration of therapeutic lag for disability progression was calculated for seven therapies and ranged between 30 and 70 weeks. Significant differences in the pre- versus post-treatment annualized relapse rate were present for all therapies apart from intramuscular interferon beta-1a. In conclusion we have developed, and externally validated, a method to objectively quantify the duration of therapeutic lag on relapses and disability progression in different therapies in patients more than 3 years from multiple sclerosis onset. Objectively defined periods of expected therapeutic lag allows insights into the evaluation of treatment response in randomized clinical trials and may guide clinical decision-making in patients who experience early on-treatment disease activity. This method will subsequently be applied in studies that evaluate the effect of patient and disease characteristics on therapeutic lag., (© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Patients with the 'aggressive' form of multiple sclerosis accrue disability at an accelerated rate, typically reaching Expanded Disability Status Score (EDSS) ≥ 6 within 10 years of symptom onset. Several clinicodemographic factors have been associated with aggressive multiple sclerosis, but less research has focused on clinical markers that are present in the first year of disease. The development of early predictive models of aggressive multiple sclerosis is essential to optimize treatment in this multiple sclerosis subtype. We evaluated whether patients who will develop aggressive multiple sclerosis can be identified based on early clinical markers. We then replicated this analysis in an independent cohort. Patient data were obtained from the MSBase observational study. Inclusion criteria were (i) first recorded disability score (EDSS) within 12 months of symptom onset; (ii) at least two recorded EDSS scores; and (iii) at least 10 years of observation time, based on time of last recorded EDSS score. Patients were classified as having 'aggressive multiple sclerosis' if all of the following criteria were met: (i) EDSS ≥ 6 reached within 10 years of symptom onset; (ii) EDSS ≥ 6 confirmed and sustained over ≥6 months; and (iii) EDSS ≥ 6 sustained until the end of follow-up. Clinical predictors included patient variables (sex, age at onset, baseline EDSS, disease duration at first visit) and recorded relapses in the first 12 months since disease onset (count, pyramidal signs, bowel-bladder symptoms, cerebellar signs, incomplete relapse recovery, steroid administration, hospitalization). Predictors were evaluated using Bayesian model averaging. Independent validation was performed using data from the Swedish Multiple Sclerosis Registry. Of the 2403 patients identified, 145 were classified as having aggressive multiple sclerosis (6%). Bayesian model averaging identified three statistical predictors: age > 35 at symptom onset, EDSS ≥ 3 in the first year, and the presence of pyramidal signs in the first year. This model significantly predicted aggressive multiple sclerosis [area under the curve (AUC) = 0.80, 95% confidence intervals (CIs): 0.75, 0.84, positive predictive value = 0.15, negative predictive value = 0.98]. The presence of all three signs was strongly predictive, with 32% of such patients meeting aggressive disease criteria. The absence of all three signs was associated with a 1.4% risk. Of the 556 eligible patients in the Swedish Multiple Sclerosis Registry cohort, 34 (6%) met criteria for aggressive multiple sclerosis. The combination of all three signs was also predictive in this cohort (AUC = 0.75, 95% CIs: 0.66, 0.84, positive predictive value = 0.15, negative predictive value = 0.97). Taken together, these findings suggest that older age at symptom onset, greater disability during the first year, and pyramidal signs in the first year are early indicators of aggressive multiple sclerosis., (© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Developments in rehabilitation technology such as video-based exergaming contributes to the treatment process as well as to increase the active participation of persons with multiple sclerosis (pwMS). The aim was to investigate the effect of video-based exergaming training on upper extremity and cognitive function as well as core stability, walking, depression, fatigue, and quality of life in pwMS., Methods: This randomized controlled trial included 60 pwMS who were randomly divided into three groups; video-based exergaming (n = 21), conventional rehabilitation (n = 19), and control groups (n = 20). The experimental groups received therapy sessions once a week for 8 weeks. All the participants were assessed at baseline and after 8 weeks. The outcome measures included upper extremity and cognitive functions as well as core stability, walking, depression, fatigue, and quality of life measures., Results: Significant improvements were observed in the primary outcome, measured by Nine-Hole Peg Test in the video-based exergaming [before= 25.8 (11.1) s; after= 22.3 (11.0) s] and conventional rehabilitation [before= 23.3 (8.1) s; after= 19.9 (3.8) s] groups (p < 0.05). Cognitive functions (with the exception of processing speed in the conventional rehabilitation group), most of the lower extremity functions, balance-related measures, fatigue and quality of life levels were significantly improved in the video-based exergaming and conventional rehabilitation groups, however, only the depression level was significantly decreased in the video-based exergaming (p < 0.05). Several significant differences were observed in the changes of the control group compared to the video-based exergaming and conventional rehabilitation groups (p < 0.05)., Conclusion: This study suggests that video-based exergaming is almost as effective as conventional rehabilitation regarding improving walking, upper and lower extremity functions, cognitive functions, fatigue, depression, and health-related quality of life in pwMS., Competing Interests: Declaration of Competing Interest The authors report no declarations of interest., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Aquaporin-4-IgG positive (AQP4-IgG+) Neuromyelitis Optica Spectrum Disorder (NMOSD) is an uncommon central nervous system autoimmune disorder. Disease outcomes in AQP4-IgG+NMOSD are typically measured by relapse rate and disability. Using the MSBase, a multi-centre international registry, we aimed to examine the impact immunosuppressive therapies and patient characteristics as predictors of disease outcome measures in AQP4-IgG+NMOSD., Method: This MSBase cohort study of AQP4-IgG+NMOSD patients examined modifiers of relapse in a multivariable proportional hazards model and expanded disability status score (EDSS) using a mixed effects model., Results: 206 AQP4-IgG+ patients were included (median follow-up 3.7 years). Age (hazard ratio [HR] = 0.82 per decade, p = 0.001), brainstem onset (HR = 0.45, p = 0.009), azathioprine (HR = 0.46, p<0.001) and mycophenolate mofetil (HR = 0.09, p = 0.012) were associated with a reduced risk of relapse. A greater EDSS was associated with age (β = 0.45 (per decade), p<0.001) and disease duration (β = 0.07 per year, p<0.001). A slower increase in EDSS was associated with azathioprine (β = -0.48, p<0.001), mycophenolate mofetil (β = -0.69, p = 0.04) and rituximab (β = -0.35, p = 0.024)., Interpretation: This study has demonstrated that azathioprine and mycophenolate mofetil reduce the risk of relapses and disability progression is modified by azathioprine, mycophenolate mofetil and rituximab. Age and disease duration were the only patient characteristics that modified the risk of relapse and disability in our cohort., Competing Interests: Declaration of Competing Interest The authors declare no competing interests directly related to the presented work., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: The risk factors for conversion from relapsing-remitting to secondary progressive multiple sclerosis remain highly contested., Objective: The aim of this study was to determine the demographic, clinical and paraclinical features that influence the risk of conversion to secondary progressive multiple sclerosis., Methods: Patients with adult-onset relapsing-remitting multiple sclerosis and at least four recorded disability scores were selected from MSBase, a global observational cohort. The risk of conversion to objectively defined secondary progressive multiple sclerosis was evaluated at multiple time points per patient using multivariable marginal Cox regression models. Sensitivity analyses were performed., Results: A total of 15,717 patients were included in the primary analysis. Older age (hazard ratio (HR) = 1.02, p  < 0.001), longer disease duration (HR = 1.01, p  = 0.038), a higher Expanded Disability Status Scale score (HR = 1.30, p  < 0.001), more rapid disability trajectory (HR = 2.82, p  < 0.001) and greater number of relapses in the previous year (HR = 1.07, p  = 0.010) were independently associated with an increased risk of secondary progressive multiple sclerosis. Improving disability (HR = 0.62, p  = 0.039) and disease-modifying therapy exposure (HR = 0.71, p  = 0.007) were associated with a lower risk. Recent cerebral magnetic resonance imaging activity, evidence of spinal cord lesions and oligoclonal bands in the cerebrospinal fluid were not associated with the risk of conversion., Conclusion: Risk of secondary progressive multiple sclerosis increases with age, duration of illness and worsening disability and decreases with improving disability. Therapy may delay the onset of secondary progression.

Objectives: Premenstrual worsening has been often complained by patients with multiple sclerosis (MS). However, there is no quantitative study in the literature regarding premenstrual worsening and there are only a few studies for its reasons. In diseases such as MS, which there are limited evidence about the etiology and the triggers, detection of the variables in menstrual period, which is defined relatively easy, has a great potential to shed light to the disease. In the present study, we aimed to detect whether there was a deterioration in premenstrual period of patients with MS and to measure the observed deterioration and the relationships between demographics, physical and hormonal variables., Patients and Methods: This study included 44 patients with MS, who were diagnosed according to McDonald criteria, and 14 healthy controls. For two consecutive cycles, cases were evaluated on the basis of neurological functions in the premenstrual and ovulation phases. In each examination, blood samples were obtained for detection of the levels of sex hormones (FSH, LH, E2, Progesterone). In the first and the fourth examinations, we applied Multiple Sclerosis Functional Composite (MSFC)., Results: Patients with MS showed poor performance in all used measurements than the healthy controls. Premenstrual period was worse based on cognitive aspects than the ovulation period in both MS patients and healthy controls. This was more evident in patients with MS. Patients treated with immunomodulatory agents had better cognitive performance than those were not given these agents., Conclusion: In our study, the patients with MS were found to be worse in cognition, and physical performance when compared with the healthy group. In premenstrual period, cognitive functions, and physical performance deteriorated in patients with MS. Healthy people seemed to be deteriorated on cognition measured with Paced Auditory Serial Addition Test., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: Fingolimod and teriflunomide are commonly used in the treatment of relapsing-remitting multiple sclerosis (RRMS). These have not been compared in controlled trials, but only in observational studies, with inconclusive results. Comparison of their effect on relapse and disability in a real-world setting is therefore needed., Objectives: The objective of this study was to compare the efficacy of fingolimod and teriflunomide in reducing disease activity in RRMS., Methods: This multicenter, retrospective observational study was carried out with prospectively collected data from 15 centers. All consecutive RRMS patients treated with teriflunomide or fingolimod were included. Data for relapses, Expanded Disability Status Scale (EDSS) scores and brain magnetic resonance imaging (MRI) scans were collected. Patients were matched using propensity scores. Annualized relapse rates (ARR), disability accumulation, percentage of patients with active MRI and treatment discontinuation over a median 2.5-year follow-up period were compared., Results: Propensity score matching retained 349 out of 1388 patients in the fingolimod group and 349 out 678 in the teriflunomide group for final analyses. Mean ARR decreased markedly from baseline after 1 and 2 years of treatment in both the fingolimod (0.58-0.17 after 1 year and 0.11 after 2 years, p < 0.001) and teriflunomide (0.56-0.29 after 1 year and 0.31 after 2 years, p < 0.001) groups. Mean ARR was lower in fingolimod-treated patients than in those treated with teriflunomide at years 1 (p = 0.02) and 2 (p = 0.004). Compared to teriflunomide, the fingolimod group exhibited a higher percentage of relapse-free patients and a lower percentage of MRI-active patients after 2.5-year follow-up. Disability worsening was similar between the two groups. Patients were less likely to discontinue fingolimod than teriflunomide (p < 0.001)., Conclusion: Fingolimod was associated with a better relapse control and lower discontinuation rate than teriflunomide. The two oral therapies exhibited similar effects on disability outcomes., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Objective: Oral immunotherapies have become a standard treatment in relapsing-remitting multiple sclerosis. Direct comparison of their effect on relapse and disability is needed., Methods: We identified all patients with relapsing-remitting multiple sclerosis treated with teriflunomide, dimethyl fumarate or fingolimod, with minimum 3-month treatment persistence and disability follow-up in the global MSBase cohort study. Patients were matched using propensity scores. Three pairwise analyses compared annualised relapse rates and hazards of disability accumulation, disability improvement and treatment discontinuation (analysed with negative binomial models and weighted conditional survival models, with pairwise censoring)., Results: The eligible cohorts consisted of 614 (teriflunomide), 782 (dimethyl fumarate) or 2332 (fingolimod) patients, followed over the median of 2.5 years. Annualised relapse rates were lower on fingolimod compared with teriflunomide (0.18 vs 0.24; p=0.05) and dimethyl fumarate (0.20 vs 0.26; p=0.01) and similar on dimethyl fumarate and teriflunomide (0.19 vs 0.22; p=0.55). No differences in disability accumulation (p≥0.59) or improvement (p≥0.14) were found between the therapies. In patients with ≥3-month treatment persistence, subsequent discontinuations were less likely on fingolimod than teriflunomide and dimethyl fumarate (p<0.001). Discontinuation rates on teriflunomide and dimethyl fumarate were similar (p=0.68)., Conclusion: The effect of fingolimod on relapse frequency was superior to teriflunomide and dimethyl fumarate. The effect of the three oral therapies on disability outcomes was similar during the initial 2.5 years on treatment. Persistence on fingolimod was superior to the two comparator drugs., Competing Interests: Competing interests: TK served on scientific advisory boards for Roche, Genzyme-Sanofi, Novartis, Merck and Biogen, steering committee for Brain Atrophy Initiative by Genzyme, received conference travel support and/or speaker honoraria from WebMD Global, Novartis, Biogen, Genzyme-Sanofi, Teva, BioCSL and Merck and received research support from Biogen. EKH received speaker honoraria and consultant fees from Actelion, Biogen, Celgene, Merck, Novartis, Roche, Sanofi and Teva, and support for research activities from Czech Ministry of Education (project PROGRES Q27/LF1). DH received speaker honoraria and consulting fees from Biogen, Merck, Teva, Roche, Sanofi Genzyme and Novartis, as well as support for research activities from Biogen and Czech Ministry of Education (project PROGRES Q27/LF1). GI received speaking honoraria from Biogen, Novartis, Sanofi, Merck, Roche, Almirall and Teva. MG received consulting fees from Teva Canada Innovation, Biogen, Novartis and Genzyme Sanofi; lecture payments from Teva Canada Innovation, Novartis and EMD. He has also received a research grant from Canadian Institutes of Health Research. PD served on editorial boards and has been supported to attend meetings by EMD, Biogen, Novartis, Genzyme and TEVA Neuroscience. He holds grants from the CIHR and the MS Society of Canada and has received funding for investigator-initiated trials from Biogen, Novartis and Genzyme. PG is a Merck, Novartis, Teva-Neuroscience, Biogen and Genzyme advisory board member, consultant for Merck, received payments for lectures by Merck, Teva-Neuroscience and Canadian Multiple Sclerosis Society, and received grants for travel from Teva-Neuroscience and Novartis. AL served as a Bayer, Biogen, Merck, Novartis, Roche, Sanofi/Genzyme and Teva Advisory Board Member. She received congress and travel/accommodation expense compensations and speaker honoraria from Bayer, Biogen, Merck, Novartis, Sanofi/Genzyme, Teva and Fondazione Italiana Sclerosi Multipla (FISM). Her institutions received research grants from Novartis. LK received research support from Acorda, Actelion, Allozyne, BaroFold, Bayer Health Care, Bayer Schering, Bayhill Therapeutics, Biogen, Elan, European Union, Genmab, Gianni Rubatto Foundation, GlaxoSmithKline, Glenmark, MediciNova, Merck, Novartis, Novartis Research Foundation, Roche, Roche Research Foundation, Sanofi-Aventis, Santhera, Swiss MS Society, Swiss National Research Foundation, Teva Neuroscience, UCB and Wyeth. JK received consulting fees from Novartis, Protagen; speaker fees from the Swiss MS Society, Biogen, Novartis, Roche, Genzyme; travel expenses from Merck Serono, Novartis; grants from ECTRIMS Research Fellowship Programme, University of Basel, Swiss MS Society, Swiss National Research Foundation, Bayer (Schweiz), Genzyme and Novartis. MT received travel grants from Novartis, Bayer Schering, Merck and Teva; has participated in clinical trials by Sanofi Aventis, Roche and Novartis. JLS accepted travel compensation from Novartis, Biogen and Merck. Her institution receives the honoraria for talks and advisory board commitment from Bayer Health Care, Biogen, Genzyme Sanofi, Merck, Novartis and Teva; has been involved in clinical trials with Biogen, Novartis and Teva. CB received conference travel support from Biogen, Novartis, Bayer Schering, Merck and Teva; has participated in clinical trials by Sanofi Aventis, Roche and Novartis. FGM received honoraria or research funding from Biogen, Genzyme, Novartis, Teva Neurosciences, Mitsubishi and ONO Pharmaceuticals. JP accepted travel compensation from Novartis, Biogen, Genzyme and Teva and speaking honoraria from Biogen, Novartis, Genzyme and Teva. PS served on scientific advisory boards for Biogen Idec and TEVA; she has received funding for travel and speaker honoraria from Biogen Idec, Merck, Teva, Sanofi Genzyme, Novartis and Bayer and research grants for her institution from Bayer, Biogen, Merck, Novartis, Sanofi and Teva. DF received travel grants and/or speaker honoraria from Merck, TEVA, Novartis, Biogen and Sanofi Genzyme. FG received an institutional research grant from Biogen and Sanofi Genzyme; served on scientific advisory boards for Biogen, Novartis, Merck, Sanofi Genzyme and Roche; received funding for travel and speaker honoraria from Biogen, Merck and Sanofi-Aventis. MT received speaker honoraria from Biogen-Idec, Bayer Schering, Sanofi Aventis, Merck, Teva, Novartis and Almirall; has received research grants for her Institution from Biogen-Idec, Merck and Novartis. RB received speaker honoraria from Bayer Schering, Biogen, Genzyme, Merck, Novartis, Sanofi-Aventis and Teva; research grants from Bayer Schering, Biogen, Merck, Novartis, Sanofi-Aventis and Teva; congress and travel/accommodation expense compensations by Almirall, Bayer Schering, Biogen, Genzyme, Merck, Novartis, Sanofi-Aventis and Teva. EP served on scientific advisory boards for Merck, Genzyme and Biogen; he has received honoraria and travel grants from Sanofi Aventis, Novartis, Biogen, Merck, Genzyme and Teva; he has received travel grants and equipment from 'Associazione Marchigiana Sclerosi Multipla e altre malattie neurologiche'. VVP received travel grants from Biogen, Bayer Schering, Genzyme, Merck, Teva and Novartis Pharma. His institution receives honoraria for consultancy and lectures from Biogen, Bayer Schering, Genzyme, Merck, Roche, Teva and Novartis Pharma as well as research grants from Novartis Pharma and Bayer Schering. BVW received research and travel grants, honoraria for MS-Expert advisor and speaker fees from Bayer Schering, Biogen, Sanofi Genzyme, Merck, Novartis, Roche and Teva. CS served on scientific advisory boards for Merck, Genzyme, Almirall and Biogen; received honoraria and travel grants from Sanofi Aventis, Novartis, Biogen, Merck, Genzyme and Teva. CRT received research funding, compensation for travel or speaker honoraria from Biogen, Novartis, Genzyme and Almirall. MS has participated in, but not received honoraria for, advisory board activity for Biogen, Merck, Bayer Schering, Sanofi Aventis and Novartis. RA received honoraria as a speaker and for serving on scientific advisory boards from Bayer, Biogen, GSK, Merck, Novartis, Roche and Sanofi Genzyme. DLS received honoraria as a consultant on scientific advisory boards by Bayer Schering, Novartis and Sanofi-Aventis and compensation for travel from Novartis, Biogen, Sanofi Aventis, Teva and Merck. JLSM accepted travel compensation from Novartis and Biogen, speaking honoraria from Biogen, Novartis, Sanofi, Merck, Almirall, Bayer and Teva and has participated in a clinical trial by Biogen. RA received conference travel support from Novartis, Teva, Biogen, Bayer and Merck and has participated in a clinical trial by Biogen, Novartis, Teva and Actelion. SH received honoraria and consulting fees from Merck, Novartis, Bayer Schering and Sanofi, and travel grants from Novartis, Biogen Idec and Bayer Schering. Ricardo Fernandez Bolaños received speaking honoraria from Biogen, Novartis, Merck and Teva. VJ received conference travel support from Teva, Novartis and Merck, and speaker honoraria from Biogen. TS received honoraria for consultancy, funding for travel and compensation for serving on scientific advisory boards from Biogen and speaker honoraria from Novartis. HB served on scientific advisory boards for Biogen, Novartis and Sanofi-Aventis and has received conference travel support from Novartis, Biogen and Sanofi Aventis. He serves on steering committees for trials conducted by Biogen and Novartis, and has received research support from Merck, Novartis and Biogen., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: The aim of the study was to investigate the effects of smoking on respiratory symptoms and functional levels by questioning use of cigarette in Multiple Sclerosis (MS) patients., Methods: A questionnaire was sent via e-mail to the 135 MS patients, who clinically diagnosed with MS and EDSS score was determined.Perceived dyspnea was assessed by the mMRC scale.The severity of dyspnea and fatigue perceived during rest and effort was assessed by the mBORG scale.Functional levels of the patients were assessed by asking the average daily walking distance and the average sitting time daily., Results: The mean EDSS score of the smoker and the non-smoker group were 2.85 ± 0.75, 2.96 ± 1.03 respectively(p = 0.48).There was no statistically difference found between groups in terms of age,height,weight,BMI,gender,EDSS scores(p > 0.05).The rate of cough, sputum and severity of perceived dyspnea was statistically higher in the smoker group(p < 0.05).The mean walking distance daily of the smokers was statistically lower (p < 0.001).The smoker group had a high level of sedanter lifestyle(p < 0.05)., Conclusion: It has been proven that smoking increases respiratory problems even in MS patients with a good EDSS score.Moreover, these problems lead to a further reduction in the functional levels of the patients, in addition to the disease progression., (Copyright © 2018. Published by Elsevier B.V.)