Contribution of different relapse phenotypes to disability in multiple sclerosis

Approach to Managing the Initial Presentation of Multiple Sclerosis: A Worldwide Practice Survey

Background and Objectives

Available disease-modifying therapies (DMTs) for multiple sclerosis (MS) are rapidly expanding; although escalation approaches aim to balance safety and efficacy, emerging evidence suggests superior outcomes for people with MS who are exposed to early high-efficacy therapies. We aimed to explore practice differences in prevailing management strategies for relapsing-remitting MS.

Methods

We used a worldwide electronic survey launched by the Practice Current section of Neurology® Clinical Practice. Questions pertained to a case of a 37-year-old woman presenting with optic neuritis. Respondents were asked to indicate their initial investigations, relapse management strategy, choice of disease-modifying therapy, and plan for follow-up imaging (contrast/noncontrast). Survey responses were stratified by key demographic variables along with 95% confidence intervals (95% CIs).

Results

We received 153 responses from 42 countries; 32.3% responders identified as MS specialists. There was a strong preference for intravenous delivery of high-dose corticosteroids (87.7%, 95% CI 80.7-92.5), and most of the responders (61.3%, 95% CI 52.6-69.4) indicated they would treat a nondisabling (mild sensory) MS relapse. When asked to select a single initial DMT, 56.6% (95% CI 47.6-65.1) selected a high-efficacy therapy (67.5% MS specialists vs 53.7% non-MS specialists). The most selected agents overall were fingolimod (14.7%), natalizumab (15.5%), and dimethyl fumarate (20.9%). Two-thirds of respondents indicated they would request contrast-enhanced surveillance MRI.

Discussion

Although there is a slight preference for initiating high-efficacy DMT at the time of initial MS diagnosis, opinions regarding the most appropriate treatment paradigm remain divided.

Matching proposed clinical and MRI criteria of aggressive multiple sclerosis to serum and cerebrospinal fluid markers of neuroaxonal and glial injury

BACKGROUND

Definitions of aggressive MS employ clinical and MR imaging criteria to identify highly active, rapidly progressing disease courses. However, the degree of overlap between clinical and radiological parameters and biochemical markers of CNS injury is not fully understood. Aim of this cross-sectional study was to match clinical and MR imaging hallmarks of aggressive MS to serum/CSF markers of neuroaxonal and astroglial injury (neurofilament light chain (sNfL, cNfL), and glial fibrillary acidic protein (sGFAP, cGFAP)).

METHODS

We recruited 77 patients with relapsing-remitting MS (RRMS) and 22 patients with clinically isolated syndrome. NfL and GFAP levels in serum and CSF were assessed using a single-molecule-array HD-1-analyzer. A general linear model with each biomarker as a dependent variable was computed. Clinical and imaging criteria of aggressive MS, as recently proposed by the ECTRIMS Consensus Group, were modeled as independent variables. Other demographic, clinical or laboratory parameters, were modeled as covariates. Analyses were repeated in a homogenous subgroup, consisting only of newly diagnosed, treatment-naïve RRMS patients presenting with an acute relapse.

RESULTS

After adjusting for covariates and multiplicity of testing, sNfL and cNfL concentrations were strongly associated with the presence of ≥2 gadolinium-enhancing lesions (psNfL = 0.00008; pcNfL = 0.004) as well as the presence of infratentorial lesions on MRI (psNfL = 0.0003; pcNfL < 0.004). No other clinical and imaging criteria of aggressive MS correlated significantly with NfL or GFAP in serum and CSF. In the more homogeneous subgroup, sNfL still was associated with the presence of ≥2 gadolinium-enhancing lesions (psNfL = 0.001), presence of more than 20 T2-lesions (psNfL = 0.049) as well as the presence of infratentorial lesions on MRI (psNfL = 0.034), while cNfL was associated with the presence of ≥2 gadolinium-enhancing lesions (psNfL = 0.011) and presence of more than 20 T2-lesions (psNfL = 0.029).

CONCLUSIONS

Among proposed risk factors for an aggressive disease course, MRI findings but not clinical characteristics correlated with sNfL and cNfL as a marker of neuroaxonal injury and should be given appropriate weight considering MS prognosis and therapy. No significant correlation was detected for GFAP alone.

Sex differences in multiple sclerosis relapse presentation and outcome: a retrospective, monocentric study of 134 relapse events

Background

Reporting of sex-specific analyses in multiple sclerosis (MS) is sparse. Disability accrual results from relapses (relapse-associated worsening) and independent thereof (progression independent of relapses).

Objectives

A population of MS patients during relapse treated per standard of care was analyzed for sex differences and short-term relapse outcome (3-6 months) as measured by Expanded Disability Status Scale (EDSS) change.

Design

Single-center retrospective study.

Methods

We analyzed 134 MS relapses between March 2016 and August 2020. All events required relapse treatment (steroids and/or plasma exchange). Demographic, disease, and paraclinical characteristics [cerebrospinal fluid (CSF) and magnetic resonance imaging (MRI)] were displayed separated by sex. Multivariable linear regression was run to identify factors associated with short-term EDSS change.

Results

Mean age at relapse was 38.4 years (95% confidence interval: 36.3-40.4) with a proportion of 71.6% women in our cohort. Smoking was more than twice as prevalent in men (65.8%) than women (32.3%). In- and after-relapse EDSSs were higher in men [men: 3.3 (2.8-3.9), women: 2.7 (2.4-3.0); men: 3.0 (1.3-3.6); women: 1.8 (1.5-2.1)] despite similar relapse intervention. Paraclinical parameters revealed no sex differences. Our primary model identified female sex, younger age, and higher EDSS at relapse to be associated with EDSS improvement. A higher immunoglobulin G (IgG) quotient (CSF/serum) was associated with poorer short-term outcome [mean days between first relapse treatment and last EDSS assessment 130.2 (79.3-181.0)].

Conclusion

Sex and gender differences are important in outcome analyses of MS relapses. Effective treatment regimens need to respect putative markers for a worse outcome to modify long-term prognosis such as clinical and demographic variables, complemented by intrathecal IgG synthesis. Prospective trials should be designed to address these differences and confirm our results.

Consensus recommendations for diagnosis and treatment of Multiple Sclerosis: 2023 revision of the MENACTRIMS guidelines

With evolving diagnostic criteria and the advent of new oral and parenteral therapies for Multiple Sclerosis (MS), most current diagnostic and treatment algorithms need revision and updating. The diagnosis of MS relies on incorporating clinical and paraclinical findings to prove dissemination in space and time and exclude alternative diseases that can explain the findings at hand. The differential diagnostic workup should be guided by clinical and laboratory red flags to avoid unnecessary tests. Appropriate selection of MS therapies is critical to maximize patient benefit. The current guidelines review the current diagnostic criteria for MS and the scientific evidence supporting treatment of acute relapses, radiologically isolated syndrome, clinically isolated syndrome, relapsing remitting MS, progressive MS, pediatric cases and pregnant women. The purpose of these guidelines is to provide practical recommendations and algorithms for the diagnosis and treatment of MS based on current scientific evidence and clinical experience.

Should autologous hematopoietic stem cell transplantation be offered as a first-line disease modifying therapy to patients with multiple sclerosis?

In multiple sclerosis (MS), progression independent of new focal inflammation may commence shortly after disease onset, and it is increasingly revealed that the risk of disability accrual is reduced by early use of high-efficacy disease-modifying therapies (HE-DMTs). People with aggressive MS may therefore benefit from early treatment with autologous haematopoietic stem cell transplantation (AHSCT), a procedure inducing maximal immunosuppression followed by immune reconstitution, demonstrated to be superior to DMTs in one randomized clinical trial. However, in current practice prior failure to HE-DMTs is typically required to establish the indication for AHSCT. In the present article, the available evidence on the potential role of AHSCT as first-line treatment in aggressive MS and the rationale for its early use will be summarized. Proposed definitions of aggressive MS that could help identifying MS patients eligible for early treatment with AHSCT will also be discussed.

Relapse-associated worsening in a real-life multiple sclerosis cohort: the role of age and pyramidal phenotype

BACKGROUND AND PURPOSE

The overall disability in patients with relapsing-remitting multiple sclerosis is likely to be partly rather than entirely attributed to relapse.

MATERIALS AND METHODS

The aim was to investigate the determinants of recovery from first relapse and relapse-associated worsening (RAW) in relapsing-remitting multiple sclerosis patients from the Italian MS Registry during a 5-year epoch from the beginning of first-line disease-modifying therapy. To determine recovery, the functional system (FS) score was used to calculate the difference between the score on the date of maximum improvement and the score before the onset of relapse. Incomplete recovery was defined as a combination of partial (1 point in one FS) and poor recovery (2 points in one FS or 1 point in two FSs or any other higher combination). RAW was indicated by a confirmed disability accumulation measured by the Expanded Disability Status Scale score confirmed 6 months after the first relapse.

RESULTS

A total of 767 patients had at least one relapse within 5 years of therapy. Of these patients, 57.8% experienced incomplete recovery. Age (odds ratio [OR] 1.02, 95% confidence interval [CI] 1.01-1.04; p = 0.007) and pyramidal phenotype were associated with incomplete recovery (OR = 2.1, 95% CI 1.41-3.14; p < 0.001). RAW was recorded in 179 (23.3%) patients. Age (OR = 1.02, 95% CI 1.01-1.04; p = 0.029) and pyramidal phenotype (OR = 1.84, 95% CI 1.18-2.88; p = 0.007) were the strongest predictors in the multivariable model.

CONCLUSIONS

Age and pyramidal phenotype were the strongest determinants of RAW in early disease epochs.

Predictors of severity and outcome of multiple sclerosis relapses

BACKGROUND

Multiple Sclerosis (MS) is a demyelinating disease of the central nervous system (CNS). The most common type of MS is the relapsing-remitting MS (RRMS) where relapses are the main component of the disease course. However, the relationship between the characteristics of the relapses on one hand and their severity and outcome on the other hand has not been fully characterized.

OBJECTIVES

To explore the characteristics of relapses among a cohort of Egyptian MS patients and their relation to the severity and outcome of the disease.

SUBJECTS AND METHODS

We analyzed 300 attacks from 223 patients in a retrospective study to identify demographic, clinical and paraclinical (laboratory and radiological) factors affecting: 1- Severity of relapses (the difference between the EDSS at the day of maximum worsening and the EDSS before the onset of the attack). 2- Outcome of relapses (the difference between the EDSS at the day of maximum improvement and the EDSS before the onset of the relapse).

RESULTS

Severe attacks were most likely to occur in patients who are males, single, presenting with poly-symptomatic presentation, slower tempo of evolution of attack symptoms, longer duration of the attack, absence of DMTs at the time of the attack. The risk of having a severe relapse is more than 3 times when the patient is single. Regarding attack outcome, poorly recovered attacks were more common in patients with older age at disease onset and at attack onset, male sex, higher number of relapses, longer duration of illness prior to the attack, severe relapses, polysymptomatic presentation, associated cognitive symptoms, slower tempo of symptom evolution, longer duration of the attack, patients on OCPs, smoking, and presence of black holes in brain MRI. The risk of having relapses with partial or no recovery is more than five times when the patient has black holes in brain MRI and more than 4 times when the patient is a smoker.

CONCLUSION

Bearing in mind the demographic characteristics as well as the clinical and paraclinical characteristics of each attack and their relation to attack severity and outcome are a key to understanding the individual disease course of every patient and hence tailoring the best therapeutic plan suitable for his individual needs. In other words, prompt, rapid intervention in male patients, polysymptomatic attacks, slower tempo of evolution of attack symptoms and longer duration of the attack should be adopted since these factors are predictive of severe relapses as well as poor relapse outcome.

Subtypes of relapsing-remitting multiple sclerosis identified by network analysis

We used network analysis to identify subtypes of relapsing-remitting multiple sclerosis subjects based on their cumulative signs and symptoms. The electronic medical records of 113 subjects with relapsing-remitting multiple sclerosis were reviewed, signs and symptoms were mapped to classes in a neuro-ontology, and classes were collapsed into sixteen superclasses by subsumption. After normalization and vectorization of the data, bipartite (subject-feature) and unipartite (subject-subject) network graphs were created using NetworkX and visualized in Gephi. Degree and weighted degree were calculated for each node. Graphs were partitioned into communities using the modularity score. Feature maps visualized differences in features by community. Network analysis of the unipartite graph yielded a higher modularity score (0.49) than the bipartite graph (0.25). The bipartite network was partitioned into five communities which were named fatigue, behavioral, hypertonia/weakness, abnormal gait/sphincter, and sensory, based on feature characteristics. The unipartite network was partitioned into five communities which were named fatigue, pain, cognitive, sensory, and gait/weakness/hypertonia based on features. Although we did not identify pure subtypes (e.g., pure motor, pure sensory, etc.) in this cohort of multiple sclerosis subjects, we demonstrated that network analysis could partition these subjects into different subtype communities. Larger datasets and additional partitioning algorithms are needed to confirm these findings and elucidate their significance. This study contributes to the literature investigating subtypes of multiple sclerosis by combining feature reduction by subsumption with network analysis.

"Can I exercise? Would it help? Would it not?": exploring the experiences of people with relapsing remitting multiple sclerosis engaging with physical activity during a relapse: a qualitative study

PURPOSE

Physical activity (PA) has been found to be beneficial for people with multiple sclerosis (pwMS) outside of the relapse period. However, little is known about how people experience PA during a relapse. This study investigates the experiences of pwMS engaging with PA during a relapse.

MATERIALS AND METHODS

The study followed an interpretivist approach, adopting a qualitative exploratory design. Semi-structured interviews were conducted with a purposive sample of 15 adults following a recent relapse. Transcripts were analysed in NVivo using framework analysis.

RESULTS

The experiences of participants were synthesised in three overarching themes: "on the road to recovery", "getting active but fearing repercussions", and "self-directed versus guided recovery". Barriers to PA included: feeling unwell, physical limitations, concerns about causing deterioration, worries that others would recognise their disability, and lack of professional support. Facilitators included: awareness of the benefits of PA, access to exercise resources, individualised advice and support from practitioners, and PA pitched at the right level.

CONCLUSIONS

Relapses can disrupt normal PA routines, making it challenging to return to PA. This article makes recommendations for supporting people to undertake PA, the timing and form of support, along with suggestions for further research exploring the safety of PA during a relapse. Implications for rehabilitationPeople with RRMS find it difficult to be physically active during a relapse.There are complex personal, social and environmental reasons why people find it hard to engage with physical activity (PA).Improved timely advice and customised support during a relapse can help reduce fears and enhance confidence with returning to PA.Physical activity recommendations should be tailored to individual's abilities to make them achievable, giving a sense of accomplishment and boosting motivation.

The impairment of the functional system and fatigue at the onset of the disease predict reaching disability milestones in relapsing-remitting multiple sclerosis differently in female and male patients

Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system with variable types of disability progression (DP). Previous studies, defining different disability milestones (DMs), have reported symptoms at MS onset to be the predictors of DP and sex as a risk factor. Meanwhile, accounting for sex differences in MS, predictors in female and male patients might differ. To investigate whether the symptoms at MS onset predict reaching DMs in patients with relapsing-remitting (RR) MS and whether the predictors vary between different DMs and female and male patients. Data from 128 RR MS patients (84 females, 44 males) was retrospectively studied. EDSS scores 4 and 6 (associated with impaired ambulation) were taken as DMs. Association between symptoms at MS onset and time to reach DMs was assessed with Cox multiple regression model. Pyramidal symptoms and fatigue at MS onset predicted the progression to EDSS 4 in the whole study population (HR 1.84, 95% CI 1.07-3.2, p = 0.028 and HR 2.01, 95% CI 1.12-3.4, p = 0.011, correspondingly). The same symptoms predicted reaching DM in female, but not male patients. Bowel/bladder symptoms predicted reaching EDSS 6 in the whole study population (HR 4.31, 95% CI 1.47-12.6, p = 0.008) and female patients only (HR 3.93, 95% CI 1.04-14.8, p = 0.043). In female patients, fatigue was also the predictor of reaching EDSS 6 (HR 3.54, 95% CI 1.16-10.8, p = 0.026). Impairment of functional symptoms at MS onset can predict reaching DMs in patients with RR-MS, but the predictors for EDSS 4 and EDSS 6 differ in female and male patients.

Factors Influencing the Degree of Disability in Patients With Multiple Sclerosis

Objective: To explore the factors influencing the degree of disability in patients with multiple sclerosis (MS), and to provide evidence for its early diagnosis, prognostic evaluation and clinical intervention.

Methods: This retrospective observational study included 72 patients with relapsing-remitting multiple sclerosis (RRMS) at the First Hospital of Shanxi Medical University. All patients completed craniocerebral and spinal cord MRI (with or without Gd enhancement) and were evaluated for Expanded Disability Status Score (EDSS) scores before receiving treatment.

Results: Among 72 patients with RRMS, 45 (62.5%) had an EDSS score ≤3; A total of 27 patients (37.5%) had an EDSS score >3 points. Univariate analysis showed that age, annual recurrence rate (ARR), drug use, albumin (ALB), triglycerides (TG), and total number of lesions in groups with EDSS score ≤3 were significantly different from those with an EDSS score > 3 points (P < 0.05). Multivariate logistic regression analysis showed that ALB, total number of lesions, and drug use were independent influencing factors of the degree of disability in patients with MS, and the difference was statistically significant (P < 0.05). An ROC curve was constructed using ALB and the total number of lesions. The AUC of ALB was 0.681, P < 0.05, and the best cut-off value was 44.2 g/L. Its sensitivity to predict the degree of disability in patients with multiple sclerosis was 85.2%, while its specificity was 51.1%. The AUC of the total number of lesions was 0.665 (P < 0.05) and the best cut-off value was 5.5. Its sensitivity to predict the degree of disability in patients with multiple sclerosis was 70.4%, while its specificity was 64.4%. The AUC of the combined ALB, total number of lesions, and drug use was 0.795 (P < 0.05), sensitivity was 77.8, and specificity was 73.3%. The optimal diagnostic cut-off value of the regression equation for the EDSS score of patients with multiple sclerosis was 0.420.

Conclusion: Serum ALB, total number of lesions, and drug use in patients with multiple sclerosis were independent factors influencing the degree of disability. These findings provide clinical evidence for the prognostic evaluation and early intervention of patients with multiple sclerosis.

Long-term comparative analysis of no evidence of disease activity (NEDA-3) status between multiple sclerosis patients treated with natalizumab and fingolimod for up to 4 years

BACKGROUND

Comparative effectiveness of natalizumab and fingolimod over a follow-up longer than 2 years has been not addressed yet.

OBJECTIVES

To compare the effect on no evidence of disease activity (NEDA-3) in relapsing-remitting multiple sclerosis (RRMS) patients treated with natalizumab or fingolimod for at least 4 years.

METHODS

We included RRMS patients switched from first-line agents to natalizumab or fingolimod. Patients were propensity score (PS)-matched on a 1-to-1 basis. Percentages of patients reaching NEDA-3 status at 2 and 4 years of follow-up were compared using the chi-square test. The risk of not achieving NEDA-3 at 4 years was explored in matched samples by Cox regression models.

RESULTS

We evaluated 174 PS-matched patients. Patients receiving natalizumab reached a NEDA-3 status at 2 and 4 years more frequently than those exposed to fingolimod (63% vs 44%, p=0.037; 45.7% vs 25.8%, p=0.015, respectively). Patients receiving natalizumab were at a significant lower risk of not achieving the NEDA-3 status at 4 years compared to those exposed to fingolimod (hazard ratio (95% confidence interval): 0.54 (0.36-0.80), p=0.002).

CONCLUSIONS

Although both medications were effective in patients non-responding to first-line agents, natalizumab seems to be superior to fingolimod in RRMS in obtaining NEDA-3 status at 4 years.

Early treatment delays long-term disability accrual in RRMS: Results from the BMSD network

BACKGROUND

The optimal timing of treatment starts for achieving the best control on the long-term disability accumulation in multiple sclerosis (MS) is still to be defined.

OBJECTIVE

The aim of this study was to estimate the optimal time to start disease-modifying therapies (DMTs) to prevent the long-term disability accumulation in MS, using a pooled dataset from the Big Multiple Sclerosis Data (BMSD) network.

METHODS

Multivariable Cox regression models adjusted for the time to first treatment start from disease onset (in quintiles) were used. To mitigate the impact of potential biases, a set of pairwise propensity score (PS)-matched analyses were performed. The first quintile, including patients treated within 1.2 years from onset, was used as reference.

RESULTS

A cohort of 11,871 patients (median follow-up after treatment start: 13.2 years) was analyzed. A 3- and 12-month confirmed disability worsening event and irreversible Expanded Disability Status Scale (EDSS) 4.0 and 6.0 scores were reached by 7062 (59.5%), 4138 (34.9%), 3209 (31.1%), and 1909 (16.5%) patients, respectively. The risk of reaching all the disability outcomes was significantly lower (p < 0.0004) for the first quintile patients' group.

CONCLUSION

Real-world data from the BMSD demonstrate that DMTs should be commenced within 1.2 years from the disease onset to reduce the risk of disability accumulation over the long term.

Clinical Parameters to Predict Future Clinical Disease Activity After Treatment Change to Higher-Dose Subcutaneous Interferon Beta-1a From Other Platform Injectables in Patients With Relapsing-Remitting Multiple Sclerosis

Objective: To identify predictors of clinical disease activity after treatment change to higher-dose interferon beta-1a in relapsing-remitting multiple sclerosis (MS).

Methods: This was a retrospective-prospective observational multicenter study. We enrolled patients with at least one relapse on platform injectable therapy who were changed to 44 μg interferon beta-1a. Our primary endpoint was the clinical disease activity-free (cDAF) status at 6, 12, 18, and 24 months. Secondary endponts included relapse-free status and disability progression-free status at different timepoints. The primary predictor of interest was the monosymptomatic vs. polysymptomatic index relapse, based on the number of affected functional systems from the Kurtzke scale during the last relapse prior to baseline. Other secondary predictors of clinical disease activity were analyzed based on different demographic and relapse characteristics. Kaplan-Meier estimates of the cumulative probability of remaining in cDAF status were performed. The time to clinical disease activity was compared between groups using univariate Kaplan-Meier analysis and multivariate Cox regression. Multivariate analyses were processed in the form of CART (Classification & Regression Trees).

Results: A total of 300 patients entered the study; 233 (77.7%) of them completed the 24-month study period and 67 patients (22.3%) terminated early. The proportion of patients in cDAF status was 84.7, 69.5, 57.5, and 54.2% at 6, 12, 18, and 24 months. After 2 years of follow-up, 55.9% of patients remained relapse-free and 87.8% of patients remained disability progression-free. At all timepoints, the polysymptomatic index relapse was the most significant predictor of clinical disease activity of all studied variables. Hazard ratio of cDAF status for patients with monosymptomatic vs. polysymptomatic index relapse was 1.94 (95% CI 1.38–2.73). CART analyses also confirmed the polysymptomatic index relapse being the strongest predictor of clinical disease activity, followed by higher number of pre-baseline relapses with the most significant effect in the monosymptomatic index relapse group. The next strongest predictors of clinical disease activity were cerebellar syndrome as the most disabled Kurtzke functional system for the monosymptomatic relapse group, and age at first MS symptom ≥ 45 for the polysymptomatic relapse group.

Conclusions: Patients with a polysymptomatic index relapse and/or higher number of relapses within 2 years prior to baseline are at high risk of clinical disease activity, despite treatment change to higher-dose interferon beta-1a from other platform injectable therapy.

Trial registration: State Institute of Drug Control (SUKL), URL: http://www.sukl.eu/modules/nps/index.php?h=study&a=detail&id=958&lang=2, registration number 1205090000.

SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis

BACKGROUND

In relapsing-remitting multiple sclerosis (RRMS), relapse severity and residual disability are difficult to predict. Nevertheless, this information is crucial both for guiding relapse treatment strategies and for informing patients.

OBJECTIVE

We, therefore, developed and validated a clinical-based model for predicting the risk of residual disability at 6 months post-relapse in MS.

METHODS

We used the data of 186 patients with RRMS collected during the COPOUSEP multicentre trial. The outcome was an increase of ≥ 1 EDSS point 6 months post-relapse treatment. We used logistic regression with LASSO penalization to construct the model, and bootstrap cross-validation to internally validate it. The model was externally validated with an independent retrospective French single-centre cohort of 175 patients.

RESULTS

The predictive factors contained in the model were age > 40 years, shorter disease duration, EDSS increase ≥ 1.5 points at time of relapse, EDSS = 0 before relapse, proprioceptive ataxia, and absence of subjective sensory disorders. Discriminative accuracy was acceptable in both the internal (AUC 0.82, 95% CI [0.73, 0.91]) and external (AUC 0.71, 95% CI [0.62, 0.80]) validations.

CONCLUSION

The predictive model we developed should prove useful for adapting therapeutic strategy of relapse and follow-up to individual patients.

Disability outcomes of early cerebellar and brainstem symptoms in multiple sclerosis

BACKGROUND

Cerebellar and brainstem symptoms are common in early stages of multiple sclerosis (MS) yet their prognostic values remain unclear.

OBJECTIVE

The aim of this study was to investigate long-term disability outcomes in patients with early cerebellar and brainstem symptoms.

METHODS

This study used data from MSBase registry. Patients with early cerebellar/brainstem presentations were identified as those with cerebellar/brainstem relapse(s) or functional system score ⩾ 2 in the initial 2 years. Early pyramidal presentation was chosen as a comparator. Andersen-Gill models were used to compare cumulative hazards of (1) disability progression events and (2) relapses between patients with and without early cerebellar/brainstem symptoms. Mixed effect models were used to estimate the associations between early cerebellar/brainstem presentations and expanded disability status scale (EDSS) scores.

RESULTS

The study cohort consisted of 10,513 eligible patients, including 2723 and 3915 patients with early cerebellar and brainstem symptoms, respectively. Early cerebellar presentation was associated with greater hazard of progression events (HR = 1.37, p < 0.001) and EDSS (β = 0.16, p < 0.001). Patients with early brainstem symptoms had lower hazard of progression events (HR = 0.89, p = 0.01) and EDSS (β = -0.06, p < 0.001). Neither presentation was associated with changes in relapse risk.

CONCLUSION

Early cerebellar presentation is associated with unfavourable outcomes, while early brainstem presentation is associated with favourable prognosis. These presentations may be used as MS prognostic markers and guide therapeutic approach.

Aggressive multiple sclerosis (1): Towards a definition of the phenotype

While the major phenotypes of multiple sclerosis (MS) and relapsing-remitting, primary and secondary progressive MS have been well characterized, a subgroup of patients with an active, aggressive disease course and rapid disability accumulation remains difficult to define and there is no consensus about their management and treatment. The current lack of an accepted definition and treatment guidelines for aggressive MS triggered a 2018 focused workshop of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) on aggressive MS. The aim of the workshop was to discuss approaches on how to describe and define the disease phenotype and its treatments. Unfortunately, it was not possible to come to consensus on a definition because of unavailable data correlating severe disease with imaging and molecular biomarkers. However, the workshop highlighted the need for future research needed to define this disease subtype while also focusing on its treatment and management. Here, we review previous attempts to define aggressive MS and present characteristics that might, with additional research, eventually help characterize it. A companion paper summarizes data regarding treatment and management.

Exercise in the management of multiple sclerosis relapses: current evidence and future perspectives

Relapses are a common feature of multiple sclerosis; however, recovery from relapses is often incomplete, with up to half of people experiencing residual disabilities postrelapse. Therefore, treatments are required to promote recovery of function and reduce the extent of residual disabilities postrelapse. Accordingly, this Perspective article explores the role of exercise in relapse management. Current evidence from two studies suggests that exercise in combination with steroid therapy improves disability and quality of life postrelapse, and may be more beneficial in promoting relapse recovery than steroid therapy alone. However, given the small number of studies and methodological limitations, further studies are required to understand the effects of exercise in relapse management and the mechanism through which exercise influences relapse recovery.

Treatment Optimization in Multiple Sclerosis: Canadian MS Working Group Recommendations

The Canadian Multiple Sclerosis Working Group has updated its treatment optimization recommendations (TORs) on the optimal use of disease-modifying therapies for patients with all forms of multiple sclerosis (MS). Recommendations provide guidance on initiating effective treatment early in the course of disease, monitoring response to therapy, and modifying or switching therapies to optimize disease control. The current TORs also address the treatment of pediatric MS, progressive MS and the identification and treatment of aggressive forms of the disease. Newer therapies offer improved efficacy, but also have potential safety concerns that must be adequately balanced, notably when treatment sequencing is considered. There are added discussions regarding the management of pregnancy, the future potential of biomarkers and consideration as to when it may be prudent to stop therapy. These TORs are meant to be used and interpreted by all neurologists with a special interest in the management of MS.

Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis

Multiple Sclerosis (MS) progresses at an unpredictable rate, but predictions on the disease course in each patient would be extremely useful to tailor therapy to the individual needs. We explore different machine learning (ML) approaches to predict whether a patient will shift from the initial Relapsing-Remitting (RR) to the Secondary Progressive (SP) form of the disease, using only "real world" data available in clinical routine. The clinical records of 1624 outpatients (207 in the SP phase) attending the MS service of Sant'Andrea hospital, Rome, Italy, were used. Predictions at 180, 360 or 720 days from the last visit were obtained considering either the data of the last available visit (Visit-Oriented setting), comparing four classical ML methods (Random Forest, Support Vector Machine, K-Nearest Neighbours and AdaBoost) or the whole clinical history of each patient (History-Oriented setting), using a Recurrent Neural Network model, specifically designed for historical data. Missing values were handled by removing either all clinical records presenting at least one missing parameter (Feature-saving approach) or the 3 clinical parameters which contained missing values (Record-saving approach). The performances of the classifiers were rated using common indicators, such as Recall (or Sensitivity) and Precision (or Positive predictive value). In the visit-oriented setting, the Record-saving approach yielded Recall values from 70% to 100%, but low Precision (5% to 10%), which however increased to 50% when considering only predictions for which the model returned a probability above a given "confidence threshold". For the History-oriented setting, both indicators increased as prediction time lengthened, reaching values of 67% (Recall) and 42% (Precision) at 720 days. We show how "real world" data can be effectively used to forecast the evolution of MS, leading to high Recall values and propose innovative approaches to improve Precision towards clinically useful values.

Precision medicine in the multiple sclerosis clinic: Selecting the right patient for the right treatment

Multiple sclerosis (MS) is a chronic, inflammatory disease of the central nervous system (CNS), affecting patients of all ages, causing neurologic disability if inadequately treated. Some patients have a relatively benign disease course without significant disability after decades, while a more aggressive course ensues in others and disability progression occurs after only several years. Certain risk factors confer a higher chance of a patient having aggressive MS. Currently over 15 disease-modifying treatments (DMTs) are approved for MS with different efficacy and safety profiles. Deciding which DMT to use in a specific patient requires a careful analysis of a patient’s disease course for high-risk factors for early progression, consideration of the efficacy and safety profile for potential therapy, as well as understanding of a patient’s lifestyle and expectations. The integration of these factors is the art of precision medicine, a necessary practice in the treatment of patients with MS.

The MSBase registry: Informing clinical practice

Over the last decade, clinical registries have significantly contributed to the pool of evidence that supports management decisions in patients with multiple sclerosis. Being the largest international registry of multiple sclerosis and neuroimmunological disorders, MSBase collects demographic, clinical and limited paraclinical information from patients managed in different regions and under various circumstances. In this review, we will provide an overview of its published output, with focus on the information with impact on the management of multiple sclerosis.

Brazilian Consensus for the Treatment of Multiple Sclerosis: Brazilian Academy of Neurology and Brazilian Committee on Treatment and Research in Multiple Sclerosis

The expanding therapeutic arsenal in multiple sclerosis (MS) has allowed for more effective and personalized treatment, but the choice and management of disease-modifying therapies (DMTs) is becoming increasingly complex. In this context, experts from the Brazilian Committee on Treatment and Research in Multiple Sclerosis and the Neuroimmunology Scientific Department of the Brazilian Academy of Neurology have convened to establish this Brazilian Consensus for the Treatment of MS, based on their understanding that neurologists should be able to prescribe MS DMTs according to what is better for each patient, based on up-to-date evidence and practice. We herein propose practical recommendations for the treatment of MS, with the main focus on the choice and management of DMTs, as well as present a review of the scientific rationale supporting therapeutic strategies in MS.

Multiple sclerosis relapse: Qualitative findings from clinician and patient interviews

BACKGROUND

In patients with relapsing forms of multiple sclerosis (MS), relapses are often unrecognized. These missed relapses have broad implications for the conduct of clinical trials as well as for the care and prognosis of people with multiple sclerosis (MS). With the ultimate goal of developing new methods to identify relapse, the purpose of this qualitative research with patients and clinicians was to examine the definition, symptoms, and impact of relapse.

METHODS

This qualitative study involved semi-structured interviews with clinicians specializing in MS and people with relapsing-remitting (RR) MS. A brief literature review was conducted to inform the development of interview guides. Qualitative data were gathered from 10 clinicians in a series of individual interviews and one focus group, followed by a series of interviews with 20 patients. Thematic analysis was conducted using ATLAS.ti to identify concepts emerging from the interviews.

RESULTS

Both clinicians and people with MS tend to describe classic neurologic symptoms that are confirmable on exam as indicative of relapses (e.g., sensory changes, vision issues, and walking difficulties), while also acknowledging that several less quantifiable symptoms are common (e.g., fatigue, pain, and cognitive issues). Patients described far-reaching impacts of relapse beyond just the quantifiable manifestations of the disease evaluated by commonly-used measures of MS severity and disability.

CONCLUSION

MS relapses, which have substantial impact on patient functioning, appear to include symptoms beyond those in typical definitions of relapse. Incorporating such constructs into new measures of relapse could lead to improved recognition of relapse episodes.

Management of multiple sclerosis patients in central European countries: current needs and potential solutions

Multiple sclerosis (MS) experts in Europe are facing rapidly rising demands of excellence due to the increasing complexity of MS therapy and management. A central European expert board of MS experts met to identify needs and obstacles with respect to raising quality of MS care in central and Eastern European countries. There are substantial variations across countries regarding delivery of care and its cost structure, as well as access to treatment. To date, Eastern European countries are often less able to afford reimbursement of immunomodulatory agents than Western countries. Overall, approximately 40% of working-age patients are not working due to MS. Costs rise steeply with increasing disability; indirect costs constitute the bulk of the financial burden in patients with severe MS. Magnetic resonance imaging (MRI) assessment is meanwhile obligatory as the diagnostic interface in the management of MS patients. Recommended measures directed at improving quality of care include the collection of patient data in registries, enhanced education of healthcare professionals, implementation of national strategies aiming at reducing regional variation, optimization of approval processes, and removal of administrative barriers. Local partnerships with authorities such as those that represent the interests of employees can contribute to leverage the importance of epidemiological data. The need for education extends to (neuro)radiologists who are responsible for reporting MRI findings in expert quality. Dissemination of the Magnetic Resonance Imaging in MS (MAGNIMS) protocol would be an important step in this context. Also, clinical freedom of choice is rated as essential. Physicians should have access to a range of treatment options due to the complexity of disease. Guidelines such as the upcoming EAN-ECTRIMS clinical practice guideline also aim at providing a basis for argumentation in negotiations with national health authorities.

Cerebellar Dysfunction in Multiple Sclerosis

Multiple sclerosis (MS) commonly affects the cerebellum causing acute and chronic symptoms. Cerebellar signs contribute significantly to clinical disability, and symptoms such as tremor, ataxia, and dysarthria are particularly difficult to treat. Increasing knowledge concerning the pathophysiology of cerebellar disease in MS from human postmortem studies, experimental models, and clinical trials has raised the hope that cerebellar symptoms will be better treated in the future.

Timing of high-efficacy therapy in relapsing-remitting multiple sclerosis: A systematic review

BACKGROUND

Immunotherapy initiated early after first presentation of relapsing-remitting multiple sclerosis is associated with improved long-term outcomes. One can therefore speculate that early initiation of highly effective immunotherapies, with an average efficacy that is superior to the typical first-line therapies, could further improve relapse and disability outcomes. However, the most common treatment strategy is to commence first-line therapies, followed by treatment escalation in patients who continue to experience on-treatment disease activity. While this monitoring approach is logical, the current lack of effective regenerative or remyelinating therapies behoves us to consider high-efficacy treatment strategies from disease onset (including induction therapy) in order to prevent irreversible disability.

OBJECTIVE

In this systematic review, we evaluate the effect of high-efficacy immunotherapies at different stages of MS.

METHODS

A systematic review of literature reporting outcomes of treatment with fingolimod, natalizumab or alemtuzumab at different stages of MS was carried out.

RESULTS AND CONCLUSIONS

Twelve publications reporting relevant information were included in the systematic review. The literature suggests that treatment with high-efficacy immunotherapies is more potent in suppressing relapse activity when initiated early vs. with a delay after the MS diagnosis. The evidence reported for disability and MRI outcomes is inconclusive.

Observational data: Understanding the real MS world

Randomised clinical trials are the primary source of evidence, guiding the use of disease-modifying drugs in multiple sclerosis. However, the spectrum of questions that can be answered in the trial setting is relatively narrow. ‘Real-world’ observational data analysis has always been the major source of evidence for epidemiology, aetiology, outcomes and prognostics, but is now also increasingly used to study treatment effectiveness. While analyses of observational cohorts typically offer superior power, generalisability and duration of follow-up relative to prospective randomised trials, they are also subject to multiple biases. It is the role of researchers to mitigate bias and to ensure the results of observational studies are robust and valid. In this review of observational data research, we provide an overview of the inherent biases, the available mitigation strategies, and the state and direction of contemporary treatment outcomes research. The review will help clinicians critically appraise published results of observational studies.