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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

Objective: To assess whether patients' response to disease modifying therapies (DMT) in multiple sclerosis (MS) varies by disease activity (annualised relapse rate, presence of new MRI lesions), disability, age, MS duration or disease phenotype. Background(s): Our understanding of demographic and clinical modifiers of the effectiveness of MS therapies is limited. Design/Methods: Using the international MSBase registry, we selected patients with MS followed for >=1 year, with >=3 visits, >=1 visit per year. Marginal structural models 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. Models were continuously re-adjusted for patient age, sex, pregnancy, date, time from first symptom, prior relapse history, disability and MRI activity. Result(s): Among 23687 patients with relapsing MS, those on DMTs experienced 48% reduction in relapse incidence [HR=0.52 (0.44-0.61)], 48% lower risk of disability worsening [HR=0.52 (0.38-0.71)] and 33% greater chance of disability improvement [HR=1.33 (95%CI 1.0-1.5)]. The effect of DMTs on EDSS worsening and improvement and the risk of relapses was attenuated with more severe disability. The effect of DMTs on reducing relapses declined with higher prior relapse rate and in patients with prior cerebral MRI activity. Among 26329 participants with relapsing or progressive MS, DMTs were 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 (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, progression of disability, and increased chance of recovery from disability. The DMTs are most effective among patients with lower

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

Objective: To assess whether patients' response to disease modifying therapies (DMT) in multiple sclerosis (MS) varies by disease activity (annualised relapse rate, presence of new MRI lesions), disability, age, MS duration or disease phenotype. Background(s): Our understanding of demographic and clinical modifiers of the effectiveness of MS therapies is limited. Design/Methods: Using the international MSBase registry, we selected patients with MS followed for >=1 year, with >=3 visits, >=1 visit per year. Marginal structural models 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. Models were continuously re-adjusted for patient age, sex, pregnancy, date, time from first symptom, prior relapse history, disability and MRI activity. Result(s): Among 23687 patients with relapsing MS, those on DMTs experienced 48% reduction in relapse incidence [HR=0.52 (0.44-0.61)], 48% lower risk of disability worsening [HR=0.52 (0.38-0.71)] and 33% greater chance of disability improvement [HR=1.33 (95%CI 1.0-1.5)]. The effect of DMTs on EDSS worsening and improvement and the risk of relapses was attenuated with more severe disability. The effect of DMTs on reducing relapses declined with higher prior relapse rate and in patients with prior cerebral MRI activity. Among 26329 participants with relapsing or progressive MS, DMTs were 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 (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, progression of disability, and increased chance of recovery from disability. The DMTs are most effective among patients with lower

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

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

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: 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

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

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: 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

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

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