Effect of Disease Modifying Therapy on Disability in Relapsing-Remitting Multiple Sclerosis Over 15 Years.

Objective To test the hypothesis that immunotherapy prevents long-term disability in relapsing-remitting multiple sclerosis (MS), we modeled disability outcomes in 14,717 patients. Methods We studied patients from MSBase followed for ≥1 year, with ≥3 visits, ≥1 visit per year, and exposed to MS therapy, and a subset of patients with ≥15-year follow-up. Marginal structural models were used to compare the cumulative hazards of 12-month confirmed increase and decrease in disability, Expanded Disability Status Scale (EDSS) step 6, and the incidence of relapses between treated and untreated periods. Marginal structural models were continuously readjusted for patient age, sex, pregnancy, date, disease course, time from first symptom, prior relapse history, disability, and MRI activity. Results A total of 14,717 patients were studied. During the treated periods, patients were less likely to experience relapses (hazard ratio 0.60, 95% confidence interval [CI] 0.43–0.82, p = 0.0016), worsening of disability (0.56, 0.38–0.82, p = 0.0026), and progress to EDSS step 6 (0.33, 0.19–0.59, p = 0.00019). Among 1,085 patients with ≥15-year follow-up, the treated patients were less likely to experience relapses (0.59, 0.50–0.70, p = 10−9) and worsening of disability (0.81, 0.67–0.99, p = 0.043). Conclusion Continued treatment with MS immunotherapies reduces disability accrual by 19%–44% (95% CI 1%–62%), the risk of need of a walking aid by 67% (95% CI 41%–81%), and the frequency of relapses by 40–41% (95% CI 18%–57%) over 15 years. This study provides evidence that disease-modifying therapies are effective in improving disability outcomes in relapsing-remitting MS over the long term. Classification of Evidence This study provides Class IV evidence that, for patients with relapsing-remitting MS, long-term exposure to immunotherapy prevents neurologic disability.

[1]  M. Trojano,et al.  Association of Sustained Immunotherapy With Disability Outcomes in Patients With Active Secondary Progressive Multiple Sclerosis. , 2020, JAMA neurology.

[2]  M. Trojano,et al.  Timing of high-efficacy therapy for multiple sclerosis: a retrospective observational cohort study , 2020, The Lancet Neurology.

[3]  N. Evangelou,et al.  Early highly effective versus escalation treatment approaches in relapsing multiple sclerosis , 2019, The Lancet Neurology.

[4]  H. Butzkueven,et al.  The MSBase registry: Informing clinical practice , 2019, Multiple sclerosis.

[5]  M. Slee,et al.  Association of Inflammation and Disability Accrual in Patients With Progressive-Onset Multiple Sclerosis , 2018, JAMA neurology.

[6]  M. Duddy,et al.  Assessing the long-term effectiveness of interferon-beta and glatiramer acetate in multiple sclerosis: final 10-year results from the UK multiple sclerosis risk-sharing scheme , 2018, Journal of Neurology, Neurosurgery, and Psychiatry.

[7]  Pierre Grammond,et al.  Anti-inflammatory disease-modifying treatment and short-term disability progression in SPMS , 2017, Neurology.

[8]  O. Beiki,et al.  Importance of early treatment initiation in the clinical course of multiple sclerosis , 2017, Multiple sclerosis.

[9]  Ludwig Kappos,et al.  Neurostatus e-Scoring improves consistency of Expanded Disability Status Scale assessments: A proof of concept study , 2017, Multiple sclerosis.

[10]  M. Tsolaki,et al.  Data quality evaluation for observational multiple sclerosis registries , 2017, Multiple sclerosis.

[11]  A. Traboulsee,et al.  Ocrelizumab versus Interferon Beta‐1a in Relapsing Multiple Sclerosis , 2017, The New England journal of medicine.

[12]  F. Barkhof,et al.  The 11-year long-term follow-up study from the randomized BENEFIT CIS trial , 2016, Neurology.

[13]  Pierre Grammond,et al.  Predictors of long‐term disability accrual in relapse‐onset multiple sclerosis , 2016, Annals of neurology.

[14]  H. Butzkueven,et al.  Observational data: Understanding the real MS world , 2016, Multiple sclerosis.

[15]  Pierre Grammond,et al.  Defining reliable disability outcomes in multiple sclerosis. , 2015, Brain : a journal of neurology.

[16]  G. Salanti,et al.  Immunomodulators and immunosuppressants for relapsing-remitting multiple sclerosis: a network meta-analysis. , 2015, The Cochrane database of systematic reviews.

[17]  K. Imai,et al.  Robust Estimation of Inverse Probability Weights for Marginal Structural Models , 2015 .

[18]  M. Duddy,et al.  Effectiveness and cost-effectiveness of interferon beta and glatiramer acetate in the UK Multiple Sclerosis Risk Sharing Scheme at 6 years: a clinical cohort study with natural history comparator , 2015, The Lancet Neurology.

[19]  J. Lechner-Scott,et al.  Predictors of disability worsening in clinically isolated syndrome , 2015, Annals of clinical and translational neurology.

[20]  P. Gustafson,et al.  Practice of Epidemiology Marginal Structural Cox Models for Estimating the Association Between β-Interferon Exposure and Disease Progression in a Multiple Sclerosis Cohort , 2014 .

[21]  L. Leocani,et al.  Effects of early treatment with glatiramer acetate in patients with clinically isolated syndrome , 2013, Multiple sclerosis.

[22]  Hans Lassmann,et al.  Progressive multiple sclerosis: pathology and pathogenesis , 2012, Nature Reviews Neurology.

[23]  P. Gustafson,et al.  Association between use of interferon beta and progression of disability in patients with relapsing-remitting multiple sclerosis. , 2012, JAMA.

[24]  D. Goodin,et al.  Establishing Long-Term Efficacy in Chronic Disease: Use of Recursive Partitioning and Propensity Score Adjustment to Estimate Outcome in MS , 2011, PloS one.

[25]  Ronald B. Geskus,et al.  ipw: An R Package for Inverse Probability Weighting , 2011 .

[26]  Jeffrey A. Cohen,et al.  Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria , 2011, Annals of neurology.

[27]  Ludwig Kappos,et al.  A placebo-controlled trial of oral fingolimod in relapsing multiple sclerosis. , 2010, The New England journal of medicine.

[28]  M. Trojano,et al.  observational studies: propensity score analysis of non-randomized data. , 2009, International MS journal.

[29]  K. Selmaj,et al.  Alemtuzumab vs. interferon beta-1a in early multiple sclerosis. , 2008, The New England journal of medicine.

[30]  Ludwig Kappos,et al.  A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis. , 2006, The New England journal of medicine.

[31]  S. Reingold,et al.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria” , 2005, Annals of neurology.

[32]  Jonathan AC Sterne,et al.  Long-term effectiveness of potent antiretroviral therapy in preventing AIDS and death: a prospective cohort study , 2005, The Lancet.

[33]  M. Davidian,et al.  Marginal structural models for analyzing causal effects of time-dependent treatments: an application in perinatal epidemiology. , 2004, American journal of epidemiology.

[34]  M. Hernán A definition of causal effect for epidemiological research , 2004, Journal of Epidemiology and Community Health.

[35]  S. Greenland,et al.  Estimating causal effects. , 2002, International journal of epidemiology.

[36]  J. Robins,et al.  Marginal Structural Models and Causal Inference in Epidemiology , 2000, Epidemiology.

[37]  R. Prentice,et al.  Commentary on Andersen and Gill's "Cox's Regression Model for Counting Processes: A Large Sample Study" , 1982 .

[38]  M. Trojano,et al.  New natural history of interferon-beta-treated relapsing multiple sclerosis. , 2007, Annals of neurology.