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BACKGROUND: Disability progression is a key milestone in the disease evolution of people with multiple sclerosis (PwMS). Prediction models of the probability of disability progression have not yet reached the level of trust needed to be adopted in the clinic. A common benchmark to assess model development in multiple sclerosis is also currently lacking. METHODS: Data of adult PwMS with a follow-up of at least three years from 146 MS centers, spread over 40 countries and collected by the MSBase consortium was used. With basic inclusion criteria for quality requirements, it represents a total of 15, 240 PwMS. External validation was performed and repeated five times to assess the significance of the results. Transparent Reporting for Individual Prognosis Or Diagnosis (TRIPOD) guidelines were followed. Confirmed disability progression after two years was predicted, with a confirmation window of six months. Only routinely collected variables were used such as the expanded disability status scale, treatment, relapse information, and MS course. To learn the probability of disability progression, state-of-the-art machine learning models were investigated. The discrimination performance of the models is evaluated with the area under the receiver operator curve (ROC-AUC) and under the precision recall curve (AUC-PR), and their calibration via the Brier score and the expected calibration error. All our preprocessing and model code are available at https://gitlab.com/edebrouwer/ms_benchmark, making this task an ideal benchmark for predicting disability progression in MS. FINDINGS: Machine learning models achieved a ROC-AUC of 0⋅71 ± 0⋅01, an AUC-PR of 0⋅26 ± 0⋅02, a Brier score of 0⋅1 ± 0⋅01 and an expected calibration error of 0⋅07 ± 0⋅04. The history of disability progression was identified as being more predictive for future disability progression than the treatment or relapses history. CONCLUSIONS: Good discrimination and calibration performance on an external validation s

BACKGROUND: Treatment switching is a common challenge and opportunity in real-world clinical practice. Increasing diversity in disease-modifying treatments (DMTs) has generated interest in the identification of reliable and robust predictors of treatment switching across different countries, DMTs, and time periods. OBJECTIVE: The objective of this retrospective, observational study was to identify independent predictors of treatment switching in a population of relapsing-remitting MS (RRMS) patients in the Big Multiple Sclerosis Data Network of national clinical registries, including the Italian MS registry, the OFSEP of France, the Danish MS registry, the Swedish national MS registry, and the international MSBase Registry. METHODS: In this cohort study, we merged information on 269,822 treatment episodes in 110,326 patients from 1997 to 2018 from five clinical registries. Patients were included in the final pooled analysis set if they had initiated at least one DMT during the relapsing-remitting MS (RRMS) stage. Patients not diagnosed with RRMS or RRMS patients not initiating DMT therapy during the RRMS phase were excluded from the analysis. The primary study outcome was treatment switching. A multilevel mixed-effects shared frailty time-to-event model was used to identify independent predictors of treatment switching. The contributing MS registry was included in the pooled analysis as a random effect. RESULTS: Every one-point increase in the Expanded Disability Status Scale (EDSS) score at treatment start was associated with 1.08 times the rate of subsequent switching, adjusting for age, sex, and calendar year (adjusted hazard ratio [aHR] 1.08; 95% CI 1.07-1.08). Women were associated with 1.11 times the rate of switching relative to men (95% CI 1.08-1.14), whilst older age was also associated with an increased rate of treatment switching. DMTs started between 2007 and 2012 were associated with 2.48 times the rate of switching relative to DMTs that began between 1

IMPORTANCE: Natalizumab cessation is associated with a risk of rebound disease activity. It is important to identify the optimal switch disease-modifying therapy strategy after natalizumab to limit the risk of severe relapses. OBJECTIVES: To compare the effectiveness and persistence of dimethyl fumarate, fingolimod, and ocrelizumab among patients with relapsing-remitting multiple sclerosis (RRMS) who discontinued natalizumab. DESIGN, SETTING, AND PARTICIPANTS: In this observational cohort study, patient data were collected from the MSBase registry between June 15, 2010, and July 6, 2021. The median follow-up was 2.7 years. This was a multicenter study that included patients with RRMS who had used natalizumab for 6 months or longer and then were switched to dimethyl fumarate, fingolimod, or ocrelizumab within 3 months after natalizumab discontinuation. Patients without baseline data were excluded from the analysis. Data were analyzed from May 24, 2022, to January 9, 2023. EXPOSURES: Dimethyl fumarate, fingolimod, and ocrelizumab. MAIN OUTCOMES AND MEASURES: Primary outcomes were annualized relapse rate (ARR) and time to first relapse. Secondary outcomes were confirmed disability accumulation, disability improvement, and subsequent treatment discontinuation, with the comparisons for the first 2 limited to fingolimod and ocrelizumab due to the small number of patients taking dimethyl fumarate. The associations were analyzed after balancing covariates using an inverse probability of treatment weighting method. RESULTS: Among 66 840 patients with RRMS, 1744 had used natalizumab for 6 months or longer and were switched to dimethyl fumarate, fingolimod, or ocrelizumab within 3 months of natalizumab discontinuation. After excluding 358 patients without baseline data, a total of 1386 patients (mean [SD] age, 41.3 [10.6] years; 990 female [71%]) switched to dimethyl fumarate (138 [9.9%]), fingolimod (823 [59.4%]), or ocrelizumab (425 [30.7%]) after natalizumab. The ARR for ea

Geographical variations in the incidence and prevalence of multiple sclerosis have been reported globally. Latitude as a surrogate for exposure to ultraviolet radiation but also other lifestyle and environmental factors are regarded as drivers of this variation. No previous studies evaluated geographical variation in the risk of secondary progressive multiple sclerosis, an advanced form of multiple sclerosis that is characterized by steady accrual of irreversible disability. We evaluated differences in the risk of secondary progressive multiple sclerosis in relation to latitude and country of residence, modified by high-to-moderate efficacy immunotherapy in a geographically diverse cohort of patients with relapsing-remitting multiple sclerosis. The study included relapsing-remitting multiple sclerosis patients from the global MSBase registry with at least one recorded assessment of disability. Secondary progressive multiple sclerosis was identified as per clinician diagnosis. Sensitivity analyses used the operationalized definition of secondary progressive multiple sclerosis and the Swedish decision tree algorithm. A proportional hazards model was used to estimate the cumulative risk of secondary progressive multiple sclerosis by country of residence (latitude), adjusted for sex, age at disease onset, time from onset to relapsing-remitting phase, disability (Multiple Sclerosis Severity Score) and relapse activity at study inclusion, national multiple sclerosis prevalence, government health expenditure, and proportion of time treated with high-to-moderate efficacy disease-modifying therapy. Geographical variation in time from relapsing-remitting phase to secondary progressive phase of multiple sclerosis was modelled through a proportional hazards model with spatially correlated frailties. We included 51 126 patients (72% female) from 27 countries. The median survival time from relapsing-remitting phase to secondary progressive multiple sclerosis among all patients wa

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.

BACKGROUND: Simultaneous comparisons of multiple disease-modifying therapies for relapsing-remitting multiple sclerosis (RRMS) over an extended follow-up are lacking. Here we emulate a randomised trial simultaneously comparing the effectiveness of six commonly used therapies over 5 years. METHODS: Data from 74 centres in 35 countries were sourced from MSBase. For each patient, the first eligible intervention was analysed, censoring at change/discontinuation of treatment. The compared interventions included natalizumab, fingolimod, dimethyl fumarate, teriflunomide, interferon beta, glatiramer acetate and no treatment. Marginal structural Cox models (MSMs) were used to estimate the average treatment effects (ATEs) and the average treatment effects among the treated (ATT), rebalancing the compared groups at 6-monthly intervals on age, sex, birth-year, pregnancy status, treatment, relapses, disease duration, disability and disease course. The outcomes analysed were incidence of relapses, 12-month confirmed disability worsening and improvement. RESULTS: 23 236 eligible patients were diagnosed with RRMS or clinically isolated syndrome. Compared with glatiramer acetate (reference), several therapies showed a superior ATE in reducing relapses: natalizumab (HR=0.44, 95% CI=0.40 to 0.50), fingolimod (HR=0.60, 95% CI=0.54 to 0.66) and dimethyl fumarate (HR=0.78, 95% CI=0.66 to 0.92). Further, natalizumab (HR=0.43, 95% CI=0.32 to 0.56) showed a superior ATE in reducing disability worsening and in disability improvement (HR=1.32, 95% CI=1.08 to 1.60). The pairwise ATT comparisons also showed superior effects of natalizumab followed by fingolimod on relapses and disability. CONCLUSIONS: The effectiveness of natalizumab and fingolimod in active RRMS is superior to dimethyl fumarate, teriflunomide, glatiramer acetate and interferon beta. This study demonstrates the utility of MSM in emulating trials to compare clinical effectiveness among multiple interventions simultaneously.

IMPORTANCE: Ocrelizumab, a humanized monoclonal antibody targeted against CD20+ B cells, reduces the frequency of relapses by 46% and disability worsening by 40% compared with interferon beta 1a in relapsing-remitting multiple sclerosis (MS). Rituximab, a chimeric monoclonal anti-CD20 agent, is often prescribed as an off-label alternative to ocrelizumab. OBJECTIVE: To evaluate whether the effectiveness of rituximab is noninferior to ocrelizumab in relapsing-remitting MS. DESIGN, SETTING, AND PARTICIPANTS: This was an observational cohort study conducted between January 2015 and March 2021. Patients were included in the treatment group for the duration of study therapy and were recruited from the MSBase registry and Danish MS Registry (DMSR). Included patients had a history of relapsing-remitting MS treated with ocrelizumab or rituximab, a minimum 6 months of follow-up, and sufficient data to calculate the propensity score. Patients with comparable baseline characteristics were 1:6 matched with propensity score on age, sex, MS duration, disability (Expanded Disability Status Scale), prior relapse rate, prior therapy, disease activity (relapses, disability accumulation, or both), magnetic resonance imaging lesion burden (missing values imputed), and country. EXPOSURE: Treatment with ocrelizumab or rituximab after 2015. MAIN OUTCOMES AND MEASURES: Noninferiority comparison of annualized rate of relapses (ARRs), with a prespecified noninferiority margin of 1.63 rate ratio. Secondary end points were relapse and 6-month confirmed disability accumulation in pairwise-censored groups. RESULTS: Of the 6027 patients with MS who were treated with ocrelizumab or rituximab, a total of 1613 (mean [SD] age; 42.0 [10.8] years; 1089 female [68%]) fulfilled the inclusion criteria and were included in the analysis (898 MSBase, 715 DMSR). A total of 710 patients treated with ocrelizumab (414 MSBase, 296 DMSR) were matched with 186 patients treated with rituximab (110 MSBase, 76 DMSR). O

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 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, ultraviolet B radiation exposure (UVB) and the severity of MS. METHOD(S): 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 EDSS [Expanded Disability Status Scale] score recorded). The latitude of each study center and cumulative annualized UVB dose at study center (calculated from NASA's Total Ozone Mapping Spectrometer) at ages 6 and 18 and the year of disability assessment were calculated. Disease severity was quantified with MS Severity Score (MSSS). Quadratic regression was used to model the associations between latitude, UVB and MSSS. RESULT(S): 46,128 patients contributing 453,208 visits and a cumulative follow-up of 351,196 patient-years (70% women, mean age 39.2+/-12, resident between latitudes 19degree35' and 56degree16') were included in this study. Latitude showed a non-linear association with MS severity. In latitudes greater than 40degree, more severe disease was associated with higher latitudes (beta=0.08, 95%CI: 0.04 to 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 <40degree (beta=-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 (beta=- 0.5, 95% CI: -0.6 to 0.4) and 18 years (beta=- 0.6, 95%CI:-0.7 to 0.4), as well as with lower life-time UVB exposure at the time of disability assessment (be

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. Method(s): 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. Result(s): 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 >88% likely to be sustained (events with score >1.5). Conclusion(s): 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.Copyright © 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behal

OBJECTIVES: To evaluate the rate of return of disease activity after cessation of multiple sclerosis (MS) disease-modifying therapy. METHOD(S): This was a retrospective cohort study from two 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 annualised 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. RESULT(S): 14,213 patients, with 18,029 eligible treatment discontinuation epochs, were identified for seven therapies. Annualised rates of relapse (ARR) started to increase 2-months after natalizumab cessation (month 2-4 ARR, 95% confidence interval): 0.47, 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 stabilised faster in patients who started a new therapy within 1-2 months (mean ARR difference: 0.14, -0.01-0.29). 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 higher relapse rate in the year before cessation, female sex, younger age and higher EDSS. 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). CONCLUSION(S): 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 t

BACKGROUND: Patients with highly active relapsing-remitting multiple sclerosis inadequately responding to first-line therapies (interferon-based therapies, glatiramer acetate, dimethyl fumarate, and teriflunomide, known collectively as "BRACETD") often switch to natalizumab or fingolimod. OBJECTIVE: The aim was to estimate the comparative effectiveness of switching to natalizumab or fingolimod or within BRACETD using real-world data and to evaluate the cost-effectiveness of switching to natalizumab versus fingolimod using a United Kingdom (UK) third-party payer perspective. METHODS: Real-world data were obtained from MSBase for patients relapsing on BRACETD in the year before switching to natalizumab or fingolimod or within BRACETD. Three-way-multinomial-propensity-score-matched cohorts were identified, and comparisons between treatment groups were conducted for annualised relapse rate (ARR) and 6-month-confirmed disability worsening (CDW6M) and improvement (CDI6M). Results were applied in a cost-effectiveness model over a lifetime horizon using a published Markov structure with health states based on the Expanded Disability Status Scale. Other model parameters were obtained from the UK MS Survey 2015, published literature, and publicly available UK sources. RESULTS: The MSBase analysis found a significant reduction in ARR (rate ratio [RR] = 0.64; 95% confidence interval [CI] 0.57-0.72; p < 0.001) and an increase in CDI6M (hazard ratio [HR] = 1.67; 95% CI 1.30-2.15; p < 0.001) for switching to natalizumab compared with BRACETD. For switching to fingolimod, the reduction in ARR (RR = 0.91; 95% CI 0.81-1.03; p = 0.133) and increase in CDI6M (HR = 1.30; 95% CI 0.99-1.72; p = 0.058) compared with BRACETD were not significant. Switching to natalizumab was associated with a significant reduction in ARR (RR = 0.70; 95% CI 0.62-0.79; p < 0.001) and an increase in CDI6M (HR = 1.28; 95% CI 1.01-1.62; p = 0.040) compared to switching to fingolimod. No evidence of difference in

BACKGROUND AND PURPOSE: Reaching Expanded Disability Status Scale (EDSS) ≥7.0 represents the requirement for a wheelchair. Here we (i) assess the effect of ocrelizumab on time to EDSS ≥7.0 over the ORATORIO (NCT01194570) double-blind and extended controlled periods (DBP+ECP), (ii) quantify likely long-term benefits by extrapolating results, and (iii) assess the plausibility of extrapolations using an independent real-world cohort (MSBase registry; ACTRN12605000455662). METHODS: Post hoc analyses assessing time to 24-week confirmed EDSS ≥7.0 in two cohorts of patients with primary progressive multiple sclerosis (baseline EDSS 3.0-6.5) were investigated in ORATORIO and MSBase. RESULTS: In the ORATORIO DBP+ECP, ocrelizumab reduced the risk of 24-week confirmed EDSS ≥7.0 (hazard ratio = 0.54, 95% confidence interval [CI]: 0.31-0.92; p = 0.022). Extrapolated median time to 24-week confirmed EDSS ≥7.0 was 12.1 and 19.2 years for placebo and ocrelizumab, respectively (7.1-year delay [95% CI: -4.3 to 18.4]). In MSBase, the median time to 24-week confirmed EDSS ≥7.0 was 12.4 years. CONCLUSIONS: Compared with placebo, ocrelizumab significantly delayed time to 24-week confirmed wheelchair requirement in ORATORIO. The plausibility of the extrapolated median time to reach this milestone in the placebo group was supported by observed real-world data from MSBase. Extrapolated benefits for ocrelizumab over placebo could represent a truly meaningful delay in loss of ambulation and independence.

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 >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.

BACKGROUND: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing-remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. METHODS: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. RESULTS: Overall, 5,148 relapsing-remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. CONCLUSIONS: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is ful

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 di

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: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing–remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. Methods: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. Results: Overall, 5,148 relapsing–remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. Conclusions: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is

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.

Background: Our current understanding of demographic and clinical modifiers of the effectiveness of multiple sclerosis (MS) therapies is limited. Objective(s): To assess whether patients' response to disease modifying therapies (DMT) in MS varies by disease activity (annualised relapse rate, presence of new MRI lesions), disability, age, MS duration or disease phenotype. Method(s): Using the international MSBase registry, we selected patients with MS followed for >=1 year, with >=3 visits, >=1 visit per year. Marginal structural models (MSMs) were used to compare the hazard ratios (HR) of 6-month confirmed worsening and improvement of disability (EDSS), and the incidence of relapses between treated and untreated periods. MSMs were continuously re-adjusted for patient age, sex, pregnancy, date, time from first symptom, prior relapse history, disability and MRI activity. Result(s): Among 23 687 patients with relapsing MS, those on DMT experienced 20% greater chance of disability improvement [HR 1.20 (95% CI 1.0-1.5)], 47% lower risk of disability worsening [HR 0.53 (0.39-0.71)] and 51% reduction in relapses [HR 0.49 (0.43-0.55)]. The effect of DMT on relapses and EDSS worsening was attenuated with longer MS duration and higher prior relapse rate. The effect of DMT on EDSS improvement and relapses was more evident in low EDSS categories. DMT was associated with 51% EDSS improvement in patients without new MRI lesions [HR 1.51 (1.00-2.28)] compared to 4% in those with MRI activity [HR 1.04 (0.88-1.24)]. Among 26329 participants with relapsing or progressive MS, DMT was associated with 25% reduction in EDSS worsening and 42% reduction in relapses in patients with relapsing MS [HR 0.75 (0.65-0.86) and HR 0.58 (CI 0.54-62), respectively], while evidence for such beneficial effects of treatment in patients with progressive MS was not found [HR 1.11 (0.91-1.46) and HR 1.16 (0.91-1.46), respectively]. Conclusion(s): DMTs are associated with reduction in relapse frequency, pro

Introduction: Ocrelizumab, a monoclonal antibody targeted against CD20+ B cells, has become a popular treatment for relapsing-remitting multiple sclerosis (MS). The effectiveness of ocrelizumab compared to other treatments is however unknown. Aim(s): To compare the effectiveness of ocrelizumab with interferon-beta, fingolimod and natalizumab in relapsing-remitting MS. Method(s): Using the MSBase registry, we identified patients with relapsing-remitting MS treated for >=6 months with ocrelizumab, interferon- beta (interferon beta-1a, interferon beta-1b subcutaneous or interferon beta-1b intramuscular), fingolimod or natalizumab. All patients required >12-month pre-treatment follow up and the minimum dataset. Patients with comparable baseline characteristics were matched with propensity score on age, sex, MS duration, EDSS, prior relapse rate, prior therapy, disease activity, MRI lesion burden (missing values imputed), reason for discontinuation of preceding therapy (imputed) and country. Annualised rate of relapses (ARR) and cumulative hazard of relapses were compared in pairwise-censored groups. Result(s): 106 patients treated with ocrelizumab were matched with 209 patients on interferon therapies with a mean age of 39 years, 0.8 relapses per year and mean EDSS of 2.4-2.5. Over a pairwise-censored mean follow up of 1.3 years, ocrelizumab was associated with lower relapse rates (ARR 0.08 vs 0.27, p<0.001) and lower risk of relapse (HR 0.30, 95%CI 0.15-0.57) than interferon-beta. 297 patients treated with ocrelizumab were matched with 811 fingolimod-treated patients with a mean age of 41 years, 0.6 relapses per year and mean EDSS of 2.7-2.8. Over a pairwisecensored mean follow up of 1.5 years, ocrelizumab was associated with lower relapse rates (ARR 0.03 vs 0.14, p<0.001) and lower risk of relapse than fingolimod (HR 0.21, 0.13-0.32). 262 ocrelizumab- treated patients were matched with 343 natalizumab treated patients with a mean age of 39 years, 0.8 relapses per year

Background: Some cohort studies have reported similar onset age and disability accrual in primary and secondary progressive MS (PPMS, SPMS); others have reported later onset and faster disability accrual in SPMS. Comparisons are complicated by differences in baseline disability and exposure to disease-modifying therapies (DMT), and by lack of a standardized definition of SPMS. Objective(s): We compared hazards of disability accrual in PPMS and SPMS patients from the MSBase cohort using multivariable Cox models, applying validated diagnostic criteria for SPMS (Lorscheider et al., Brain 2016). Method(s): Inclusion required adult-onset progressive MS; >= 3 recorded Expanded Disability Status Scale (EDSS) scores; and, for SPMS, initial records with EDSS <= 3 to allow objective identification of SPMS conversion. Phenotypes were subgrouped as active (PPMS-A, SPMS-A) if >= 1 progressive-phase relapse was recorded, and inactive (PPMS-N, SPMS-N) otherwise. Disability accrual was defined by sustained EDSS increases confirmed over >= 6 months. Hazard ratios (HR) for disability accrual were obtained using Andersen-Gill Cox models, adjusted for sex and time-varying age, disability, visit frequency, and proportion of time on DMT or immunosuppressive therapy. Sensitivity analyses were performed using (1) PPMS and SPMS diagnosed since 1995, and (2) physician-diagnosed SPMS. Cumulative probability of reaching EDSS >= 7 (wheelchair required) was assessed (Kaplan-Meier). Result(s): 5461 patients were included (1257 PPMS-N; 1308 PPMS-A; 1731 SPMS-N; 1165 SPMS-A). Age at progression onset was older in SPMS than PPMS (47.2 +/- 10.2, vs. 41.5 +/- 10.7 [mean +/- SD]), and in the inactive subgroups of each phenotype. Hazard of disability accrual was decreased in SPMS relative to PPMS (HR 0.85; 95% CI 0.78-0.92); decreased by proportion of time on DMT (HR 0.99 per 10% increment; 0.98-0.99); and higher in males (1.18; 1.12-1.25). Relative to PPMS-N, hazard was decreased in SPMS-A (0.79; 0.71

Introduction: People with relapsing-remitting multiple sclerosis (RRMS) commonly switch between disease-modifying therapies (DMTs). Identifying predictors of relapse outcomes when switching to more recently approved therapies such as cladribine could improve outcomes. Aim(s): This study aimed to characterise relapse activity and determine predictors of relapse occurrence in the first year of cladribine treatment, after switching from other DMTs. Method(s): We identified patients with RRMS from the MSBase Registry who switched to cladribine from five prior DMT groups (pDMT; interferon-beta/glatiramer acetate, dimethyl fumarate, teriflunomide, fingolimod or natalizumab). Relapse occurrence during the washout and in the first year of cladribine were compared between pDMTs and washout duration groups (<1 month, 1-2 months, or 2-6 months). Cox proportional hazard regression models were used to analyse time to first relapse in the first year of cladribine therapy. Result(s): In a cohort of 333 patients with a mean washout duration of 43.1 days, 17 (5.1%) relapsed during the washout period and 24 (7.2%) relapsed within one year of starting cladribine. Of those who relapsed during their washout period, seven (41.2%) also relapsed on cladribine, compared to 5.4% of those who did not experience a washout relapse. In the adjusted survival model, relapse on cladribine was predicted by washout relapse (hazard ratio [HR]=7.18, 95% confidence interval [CI] = 1.48-34.88, p=0.015) and younger age (HR=0.96, 95% CI 0.93-0.99, p=0.038). Washout durations longer than two months increased relapse risk during the washout, but did not alter relapse risk on cladribine. There were no significant differences in relapse outcomes between pDMTs. Conclusion(s): Washout relapse and younger age are of prognostic relevance when switching to cladribine. Washout durations shorter than two months were associated with fewer washout relapses. Prospective studies are needed to assess if washout period red

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.

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.

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.

Objective: Using global MSBase registry, this study establishes 6-month confirmed disability progression events as indicators of long-term disability worsening suitable for use in randomized clinical trials in multiple sclerosis (MS). Background(s): Randomized clinical trials evaluate short-term treatment effect on disability in the form of 3-6-month confirmed disability progression, but whether these translate into long-term disability outcomes is unknown. Design/Methods: A Cox proportional hazards model identified associations between patients' demographic and clinical characteristics and the probability of recovery from disability progression events. The coefficients from this model were used to calculate a sustained progression score, which was evaluated in a validation cohort and applied to a trial cohort. Result(s): 902 patients (development cohort), patient characteristics at the time of progression associated with lower probability of subsequent improvement were age (hazard ratio (HR)=0.98), primary progressive (HR=0.37) and progressive-relapsing (HR=0.36) MS, expanded disability status scale score >=6 (HR=0.71) and its change from baseline (HR=0.67), number of affected functional system scores (HR=0.92) and pyramidal (HR=0.79) functional system score (p<0.05). The strength of the association with pyramidal score decreased with time (HR=1.01). A relapse within previous month (HR=1.46) and worsening in sensory functional system score (HR=1.17) were associated with higher probability of improvement after progression. The sustained progression score (range 0.39-4.79) in the validation cohort with 1,271 progression events, estimated a 53% lower chance of improvement for each unit increase in the score (HR=0.47). The proportions of progression events sustained at 5 years stratified by the score were 1: 68%, 2: 79%, 3: 94%, 4: 100%. The progression scores were then applied to the CLARITY trial data. Conclusion(s): Estimate of the probability of disability progress

Introduction: Ocrelizumab (OCR) is a humanised anti-CD20+ monoclonal antibody approved for the treatment of primary progressive multiple sclerosis (PPMS), and relapsing forms of MS, including both relapsing-remitting (RRMS) and secondary progressive (SPMS). Objective(s): In a real-world setting, to describe 1) baseline characteristics of patients with MS treated with OCR, 2) treatment pathway across lines of therapy up to initiation of OCR, and 3) initial clinical experience in patients with >=6 months follow-up data from OCR initiation Methods: Secondary data analysis using MSBase Registry data including patients with a confirmed diagnosis of MS and newly treated with OCR after regulatory approval. Descriptive statistics were used to analyze baseline patients' characteristics recorded within 3 months prior to or at time of OCR initiation, including demographics, disease course and duration, prior disease modifying therapies (DMT), and EDSS. Occurrence of relapse was analyzed in patients with >=6 months follow-up data since OCR initiation. Result(s): As of 6th March 2019, MSBase included 1216 patients newly treated with OCR (15 countries, mainly from across Europe and Australia), 882 patients with RRMS, 160 with SPMS, and 174 with PPMS. Median age at OCR initiation varied from 42.8 years, 49.2 years, to 52.4 years in patients with RRMS, SPMS, and PPMS, respectively. Most RRMS and SPMS patients were female (69.6% and 64.4%) by contrast to PPMS patients (43.1% females). Median disease duration from symptom onset up to OCR initiation was longer in SPMS (19.7 years) than in RRMS (9.7 years) and PPMS (8.7 years). Median EDSS at OCR start was 3.0, 6.5, and 6.0 in RRMS, SPMS, and PPMS, respectively. OCR was initiated as first line therapy in 11.2%, 3.1%, and 58.1% of RRMS, SPMS, and PPMS patients respectively. 583 RRMS patients initiated OCR switching from another DMT, primarily natalizumab (37.9%) and fingolimod (34.1%). 234 patients with RRMS had >=6 months follow-up dur

Background: Using the MSBase registry, we characterised profiles of patients initiated on the recently approved treatment Cladribine. Objective(s): To describe baseline characteristics of patients with MS treated with cladribine, treatment pathway up to initiation of cladribine, and initial clinical experience in patients with >=6 months follow-up. Method(s): Using MSBase Registry data including patients with a confirmed diagnosis of MS and treated with cladribine after regulatory approval. Descriptive statistics were used to analyse baseline characteristics recorded within 3 months prior to or at time of cladribine initiation, including demographics, disease course and duration, prior disease modifying therapies (DMT), and EDSS. Occurrence of relapse was analysed in patients with >=6 months follow-up data from cladribine initiation. Result(s): As of the 8th July 2019, MSBase included 317 patients treated with cladribine including 260 RRMS patients and 44 with SPMS. Median age at cladribine initiation was 44.98 years in RRMS and 57.28 years in SPMS. Median EDSS at cladribine start was 2.5 and 6.5 in RRMS and SPMS, respectively. Patientsswitched primarily from fingolimod or natalizumab and for 17%, Cladribine was their first treatment. 207 patients with RRMS had >=6 months follow-up after cladribine exposure. Of these, 10 (4.8%) experienced >=1 clinical relapse within the first 6 months on cladribine. Conclusion(s): This study characterizes patients with MS newly treated with cladribine in a real-world clinical setting. Median EDSS and disease duration were relatively high in this analysis. Rates of discontinuation were low in the first year and relapse rates similar to phase III studies.

Introduction: Prevention of disability over the long-term is currently the main treatment goal in multiple sclerosis (MS). Randomized clinical trials evaluate short-term treatment effect on disability in the form of 3-6-month confirmed disability progression. Using global MSBase registry, this study establishes 6-month confirmed disability progression events as indicators of long-term disability worsening suitable for use in randomized clinical trials. Method(s): A Cox proportional hazards model in the development cohort identified associations between demographic and clinical variables at the time of disability progression and the probability of an event not being sustained in the future. The coefficients from this model were used to calculate a sustained progression score. Its association with the risk that an event will be sustained over timewas evaluated with a Cox model in the validation cohort. Result(s): 11,435 confirmed progression events identified in 6,902 patients constituted the development cohort. Patient characteristics at the time of progression associated with lower probability of subsequent improvement were age (hazard ratio (HR)=0.98), primary progressive (HR=0.37) and progressive-relapsing (HR=0.36) MS, expanded disability status scale score >=6 (HR=0.71) and its change from baseline (HR=0.67), number of affected functional system scores (HR=0.92) and pyramidal(HR=0.79) functional system score (p< 0.05). The strength of the association with pyramidal score decreased with time(HR=1.01). Occurrence of a relapse within previous month (HR=1.46) and worsening in sensory functional system score (HR=1.17) were associated with higher probability of improvement after progression. The associations were confirmed by two sensitivity analyses. The sustained progression score, ranged 0.39-4.79 in the validation cohort with 1,271 progression events, estimated a 53% lower chance of improvement with each unit increase in the score (HR=0.47, 95% confidence interval

Introduction: Cladribine tablets were recently approved for treatment of Multiple Sclerosis in many jurisdictions. We characterised the profiles of patients initiated on cladribine in the global MSBase registry. Objective(s): In a real-world setting, to describe 1) baseline characteristics of patients with MS treated with cladribine, 2) treatment pathway across lines of therapy up to initiation of cladribine, and 3) initial clinical experience in patients with >=6 months follow-up data from cladribine initiation Methods: Secondary data analysis using MSBase Registry data including patients with a confirmed diagnosis of MS and newly treated with cladribine after regulatory approval. Descriptive statistics were used to analyze baseline patient characteristics recorded within 3 months prior to or at time of cladribine initiation, including demographics, disease course and duration, prior disease modifying therapies (DMT), and EDSS. Occurrence of relapse was analyzed in patients with >=6 months follow-up data from cladribine initiation. Result(s): As of the 5th April 2019, MSBase included 337 patients newly treated with cladribine from 9 countries, mainly across Australian and Europe, including 258 RRMS patients and 51 with SPMS. Median age at cladribine initiation was 44.4 years in RRMS and 56.2 years in SPMS. Median time from diagnosis to cladribine initiation was longer in SPMS (median 19.4 years) than in RRMS (median 6.6 years). Median EDSS at cladribine start was 3 and 6.5 in RRMS and SPMS, respectively. 32.6% and 7.8% of all RRMS and SPMS, respectively, initiated cladribine as the first line therapy. 150 patients switched from an active DMT to cladribine. Of these, patients switched primarily from fingolimod (25.3%) or natalizumab (16.7%). 62 patients with RRMS had >=6 months follow-up after cladribine exposure. Of these, 8 (12.9%) experienced >=1 clinical relapse within the first 6 months on cladribine. Conclusion(s): This study characterizes patients with MS new

A. Background and Goals: It is now well known that patient medical history (or trajectories) is of crucial importance for both prognosis and optimal treatment selection for Multiple Sclerosis (MS) patients. This longitudinal data is nowadays being collected more systematically and its availability in patient registries opens the way towards precision medicine in MS. However, this information is very challenging to process computationally. By their observational nature, longitudinal patient data are scarcely and irregularly observed (i.e. only few observations are scattered over the whole patient history). Several works have recently attempted to address this issue by substituting full patient history with summary statistics in the modelling (i.e. using metrics such as the maximum and minimum disability score over the patient history as a proxy for the full medical trajectory). This strategy potentially discards relevant prognostic information. In this work, we present a method capable of handling the full information about disease history and its value for individual prognostic modelling. B. Method(s): We propose a novel statistical method relying on state-of-the-art machine learning models (Bayesian Probabilistic Tensor Factorisation, BPTF). Due to its generative nature, this method is able to process the full MS patient trajectories as input to deliver predictions. We infer the tensor decomposition (rank 70) with Gibbs sampling. To illustrate the performances of our approach, we consider the challenging task of predicting patient worsening within 2 years from current visit using 3 years clinical history. Patient worsening was defined with the 2 strata definition of disability progression as in Kalincik et al. (Brain, 2015). Available longitudinal data include Expanded Disability Status Scale (EDSS), magnetic resonance imaging and relapses. Patient static covariates include, among others, age at onset, gender, disease course and first observed EDSS. C. Result(s): W

Introduction: A decision to discontinue MS immunotherapies is common in clinical practice - whether in order to switch to another therapy or at an advanced stage of progressive MS without relapses. The evidence regarding individual risk of MS re-activation after treatment discontinuation is limited. Aim(s): To evaluate associations of demographic and clinical patient characteristics with the risk of relapses after discontinuing treatment. Both overall and treatment-specific associations are explored. Method(s): Using the global MSBase registry, we identified all patients who discontinued MS immunotherapy after >=3 months on treatment, with the recorded disability score (EDSS) at the time of discontinuing treatment, and prospectively recorded follow-up of >=6 months. The probability of experiencing a relapse after discontinuing treatment, conditional on patient characteristics, was analysed with Cox proportional hazards model. Differences in these associations among different therapies were studied with interaction terms. Result(s): 24,989 episodes of treatment discontinuation were recorded from 17,871 patients (74% female, mean age at discontinuation 39 years, 88% relapsing-remitting MS, mean MS duration 10 years, median EDSS 2.5). The patient characteristics associated with a lower hazard of MS re-activation were male sex (b=0.87, p< 0.001), older age (b=0.98, p< 0.001), MS duration (b=1.01, p< 0.001), secondary progressive MS (b=0.73, p< 0.001), longer treatment duration (0.95, p< 0.001), greater number of prior treatments (1: b=0.62, p< 0.001; >=2: b=0.39, p< 0.001) and greater number of relapses during the previous year (1: b=1.30, p< 0.001; >=2: b=1.62, p< 0.001). The characteristics associated with a greater risk of MS re-activation were clinically isolated syndrome (b=1.87, p< 0.001) and greater EDSS (4-5.5: b=1.41, p< 0.001; >=6: b=1.17, p=0.001). Therapies used more recently (dimethyl fumarate, fingolimod, natalizumab) tended to be associated with a lower h

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.Copyright © 2019 Author(s) (or their employer(s)). No commercial re-use. See rights and permissions. Published by BMJ.

BACKGROUND AND PURPOSE: Treatment options in primary progressive multiple sclerosis (PPMS) are scarce and, with the exception of ocrelizumab, anti-inflammatory agents have failed to show efficacy in ameliorating disability progression. The aim of this study was to investigate a potential effect of anti-inflammatory disease-modifying treatment on disability outcomes in PPMS. METHODS: Using MSBase, a large, international, observational database, we identified patients with PPMS who were either never treated or treated with a disease-modifying agent. Propensity score matching was used to select subpopulations with similar baseline characteristics. Expanded Disability Status Scale (EDSS) outcomes were compared with an intention-to-treat and an as-treated approach in paired, pairwise-censored analyses. RESULTS: Of the 1284 included patients, 533 were matched (treated, n = 195; untreated n = 338). Median on-study pairwise-censored follow-up was 3.4 years (quartiles 1.2-5.5). No difference in the hazard of experiencing 3-month confirmed EDSS progression events was observed between the groups [hazard ratio (HR), 1.0; 95% confidence interval (CI), 0.6-1.7, P = 0.87]. We did not find significant differences in the hazards of confirmed EDSS improvement (HR, 1.0; 95% CI, 0.6-1.6, P = 0.91) or reaching a confirmed EDSS step ≥7 (HR, 1.1; 95% CI, 0.7-1.6, P = 0.69). CONCLUSION: Our pooled analysis of disease-modifying agents suggests that these therapies have no substantial effect on short- to medium-term disability outcomes in PPMS.