Clinical prognostic factors in multiple sclerosis: a natural history review

Ethnicity and deprivation negatively impact the access to disease-modifying therapy for relapsing-remitting multiple sclerosis: a retrospective, single-centre study

BACKGROUND

A growing body of evidence suggests inequitable access to disease-modifying therapies (DMTs) for multiple sclerosis (MS) in publicly funded healthcare systems. This retrospective study examined the impact of ethnicity and deprivation on the access to DMTs.

METHODS

All adults diagnosed with relapsing-remitting MS between 2010 and 2020 were included. The impact of ethnicity and deprivation on being offered and starting any DMTs and high-efficacy DMTs were measured using binary, multinomial logistic and Cox regression models. These analyses were adjusted for sex, age at diagnosis and year of diagnosis.

RESULTS

164/1648 people with MS (PwMS) were from non-white ethnicities. 461/1648 who were living in the most deprived areas, were less likely to be offered DMTs, with an OR of 0.66 (95% CI 0.47 to 0.93), less likely to start high-efficacy DMTs with an OR of 0.67 (95% CI 0.48 to 0.93) and more likely to experience a delay in starting high-efficacy DMTs with an HR of 0.76 (95% CI 0.63 to 0.92), when also adjusted for ethnicity. Although the offer of DMTs did not depend on ethnicity, PwMS from non-white ethnicities were more likely to decline DMTs, less likely to start any DMTs and high-efficacy DMTs with ORs of 0.60 (95% CI 0.39 to 0.93) and 0.61 (95% CI 0.38 to 0.98), respectively, and more likely to experience a delay in starting DMTs with an HR of 0.79 (95% CI 0.66 to 0.95), when also adjusted for deprivation.

CONCLUSIONS

In a publicly funded healthcare system, the access to DMTs varied depending on ethnicities and levels of deprivation.

Biological aging in multiple sclerosis

Multiple sclerosis (MS) is most likely to adopt a progressive clinical course during middle age or beyond, and the number of older adults with MS is steadily increasing. Developing new strategies to manage progressive forms of MS, which do not respond to currently available disease-modifying therapies (DMTs), will require a deeper understanding of the mechanisms by which biological aging interacts with pathogenic pathways to propel disability accumulation. In experimental autoimmune encephalomyelitis (EAE), a widely used preclinical mouse model of MS, middle-aged animals experience a more severe and protracted clinical course than their younger counterparts. This exacerbated disease course is accompanied by persistent neuroinflammation. Clinical studies of age-related biomarkers, such as telomere length, senescence markers, and DNA methylation, suggest that biological aging is accelerated in people with MS compared with age- and sex-matched healthy controls. Furthermore, distinguishing biological age from chronological may afford more precision in determining aging effects in MS. Here we review the current literature on aging biology and its impact on MS pathogenesis. Future research on this topic may lead to the development of novel biomarkers and senotherapy agents that slow neurological decline in people with progressive MS by targeting relevant aging-related pathways.

Multiple sclerosis mortality in New Zealand: a nationwide prospective study

BACKGROUND

Mortality data from Europe and North America show a shorter life expectancy for people with multiple sclerosis (MS). It is not known if a similar mortality risk exists in the southern hemisphere. We analysed the mortality outcomes of a comprehensive New Zealand (NZ) MS cohort, 15 years postrecruitment.

METHODS

All participants of the nationwide 2006 NZ MS prevalence study were included and mortality outcomes were compared with life table data from the NZ population using classic survival analyses, standardised mortality ratios (SMRs) and excess death rates (EDRs).

RESULTS

Of 2909 MS participants, 844 (29%) were deceased at the end of the 15-year study period. Median survival age for the MS cohort was 79.4 years (78.5, 80.3), compared with 86.6 years (85.5, 87.7) for the age-matched and sex-matched NZ population. The overall SMR was 1.9 (1.8, 2.1)). Symptom onset between 21 and 30 years corresponded to an SMR of 2.8 and a median survival age 9.8 years lower than the NZ population. Progressive-onset disease was associated with a survival gap of 9 years compared with 5.7 years for relapsing onset. The EDR for those diagnosed in 1997-2006 was 3.2 (2.6, 3.9) compared with 7.8 (5.8, 10.3) for those diagnosed between 1967 and 1976.

CONCLUSIONS

New Zealanders with MS have a median survival age 7.2 years lower than the general population and twice the mortality risk. The survival gap was greater for progressive-onset disease and for those with an early age of onset.

Lessons from immunotherapies in multiple sclerosis

The improved understanding of multiple sclerosis (MS) neurobiology alongside the development of novel markers of disease will allow precision medicine to be applied to MS patients, bringing the promise of improved care. Combinations of clinical and paraclinical data are currently used for diagnosis and prognosis. The addition of advanced magnetic resonance imaging and biofluid markers has been strongly encouraged, since classifying patients according to the underlying biology will improve monitoring and treatment strategies. For example, silent progression seems to contribute significantly more than relapses to overall disability accumulation, but currently approved treatments for MS act mainly on neuroinflammation and offer only a partial protection against neurodegeneration. Further research, involving traditional and adaptive trial designs, should strive to halt, repair or protect against central nervous system damage. To personalize new treatments, their selectivity, tolerability, ease of administration, and safety must be considered, while to personalize treatment approaches, patient preferences, risk-aversion, and lifestyle must be factored in, and patient feedback used to indicate real-world treatment efficacy. The use of biosensors and machine-learning approaches to integrate biological, anatomical, and physiological parameters will take personalized medicine a step closer toward the patient's virtual twin, in which treatments can be tried before they are applied.

Advantages and limitations of experimental autoimmune encephalomyelitis in breaking down the role of the gut microbiome in multiple sclerosis

Since the first model of experimental autoimmune encephalomyelitis (EAE) was introduced almost a century ago, there has been an ongoing scientific debate about the risks and benefits of using EAE as a model of multiple sclerosis (MS). While there are notable limitations of translating EAE studies directly to human patients, EAE continues to be the most widely used model of MS, and EAE studies have contributed to multiple key breakthroughs in our understanding of MS pathogenesis and discovery of MS therapeutics. In addition, insights from EAE have led to a better understanding of modifiable environmental factors that can influence MS initiation and progression. In this review, we discuss how MS patient and EAE studies compare in our learning about the role of gut microbiome, diet, alcohol, probiotics, antibiotics, and fecal microbiome transplant in neuroinflammation. Ultimately, the combination of rigorous EAE animal studies, novel bioinformatic approaches, use of human cell lines, and implementation of well-powered, age- and sex-matched randomized controlled MS patient trials will be essential for improving MS patient outcomes and developing novel MS therapeutics to prevent and revert MS disease progression.

Immunotherapy for people with clinically isolated syndrome or relapsing-remitting multiple sclerosis: treatment response by demographic, clinical, and biomarker subgroups (PROMISE)-a systematic review protocol

BACKGROUND

Multiple sclerosis (MS) is an inflammatory and degenerative disease of the central nervous system with an increasing worldwide prevalence. Since 1993, more than 15 disease-modifying immunotherapies (DMTs) have been licenced and have shown moderate efficacy in clinical trials. Based on the heterogeneity of the disease and the partial effectiveness of therapies, a personalised medicine approach would be valuable taking individual prognosis and suitability of a chosen therapy into account to gain the best possible treatment effect. The primary objective of this review is to assess the differential treatment effects of all approved DMTs in subgroups of adults with clinically isolated syndrome or relapsing forms of MS. We will analyse possible treatment effect modifiers (TEM) defined by baseline demographic characteristics (gender, age), and diagnostic (i.e. MRI measures) and clinical (i.e. relapses, disability level) measures of MS disease activity.

METHODS

We will include all published and accessible unpublished primary and secondary analyses of randomised controlled trials (RCTs) with a follow-up of at least 12 months investigating the efficacy of at least one approved DMT, with placebo or other approved DMTs as control intervention(s) in subgroups of trial participants. As the primary outcome, we will address disability as defined by the Expanded Disability Status Scale or multiple sclerosis functional composite scores followed by relapse frequency, quality of life measures, and side effects. MRI data will be analysed as secondary outcomes. MEDLINE, EMBASE, CINAHL, LILACS, CENTRAL and major trial registers will be searched for suitable studies. Titles and abstracts and full texts will be screened by two persons independently using Covidence. The risk of bias will be analysed based on the Cochrane "Risk of Bias 2" tool, and the certainty of evidence will be assessed using GRADE. Treatment effects will be reported as rate ratio or odds ratio. Primary analyses will follow the intention-to-treat principle. Meta-analyses will be carried out using random-effects models.

DISCUSSION

Given that individual patient data from clinical studies are often not available, the review will allow to analyse the evidence on TEM in MS immunotherapy and thus support clinical decision making in individual cases.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42021279665 .

Evaluation of methods of modeling and formation of experimental allergic encephalomyelitis

Introduction: Experimental autoimmune (allergic) encephalomyelitis (EAE) induced by intradermal injection of homogenate of the brain, spinal cord and peripheral nerve with Freund’s stimulator, refers to a true autoimmune disease of the nervous system.

Materials and methods: Experimental studies were conducted on white nonlinear rats. To induce experimental allergic encephalomyelitis (EAE), homologous brain homogenates was used, which leads among other drugs (homologous, heterogeneous brain and spinal cord homogenates) by encephalitogenity. The connective tissue of the animal’s tail base was injected with a mixture of encephalitogenic suspension of 0.1 ml per 100 g of the body weight.

Results and discussion: According to the results, in the rats, there was weight loss, and the abnormal neurological symptoms were found on an average of 10–12th days. Our experimental studies on the formation of EAE were confirmed morphologically by electron microscopy.

Conclusion: Thus, the use of this technique allowed us to obtain a simulated pathologic condition of multiple sclerosis in the form of experimental allergic encephalomyelitis and can be used in future studies to identify appropriate laws, the extent and nature of changes in the immune and nervous systems of the body when inducing experimental pathological conditions.

Long-term Treatment With Ponesimod in Relapsing-Remitting Multiple Sclerosis: Results from Randomized Phase 2b Core and Extension Studies

Objective

To evaluate the dose-response relationship of 10, 20, and 40 mg ponesimod and long-term efficacy and safety of ponesimod 20 mg using an analysis of combined data from the phase 2 Core and Extension studies in patients with relapsing-remitting multiple sclerosis (RRMS).

Methods

In the Core study, 464 patients were randomized (1:1:1:1): placebo (n = 121), 10 mg (n = 108), 20 mg (n = 116), or 40 mg ponesimod (n = 119) once daily for 24 weeks. Patients who completed the Core study transitioned into the Extension study, which had treatment period 1 (TP1; up to 96 weeks) and TP2 and TP3 (up to 432 weeks). The 40 mg dose was discontinued due to low tolerability at the end of TP1, and the 10 mg dose was subsequently discontinued due to lower benefit-risk profile vs 20 mg at the end of TP2. All patients received 10 or 20 mg during TP2, followed by 20 mg in TP3. Annualized relapse rate (ARR), 6-month confirmed disability accumulation (CDA), time to first confirmed relapse, MRI outcomes, and safety were evaluated.

Results

A total of 435 patients received ≥1 dose of ponesimod (first randomized dose: 10 mg = 139, 20 mg = 145, and 40 mg = 151) at any time during the Core and/or the Extension study. As of March 31, 2019, 214 patients were still on ponesimod treatment. The median (range) of ponesimod exposure was 7.95 (0–9.36) years. Ponesimod 20 mg, from Core up to the end of TP3, was associated with sustained low clinical activity (ARR for confirmed relapses: 0.154; at week 432, Kaplan-Meier estimate for confirmed relapse was 43.9%, and 6-month CDA was 20.4%) and MRI disease activity, and over 64% of patients remained free of a confirmed relapse. Most common adverse events were nasopharyngitis (30%), headache (24%), and upper respiratory tract infection (21%).

Conclusion

The effects on multiple sclerosis disease control were maintained with ponesimod 20 mg for approximately 8 years with no new safety concerns identified.

Classification of Evidence

This study provides Class IV evidence that in individuals with RRMS, long-term treatment with ponesimod 20 mg was associated with a sustained low annualized confirmed relapse rate (0.154 at week 432), with 64% of patients remaining relapse-free.

Trial Registration Information

EudraCT Number 2008-006786-92 (Core study) and EudraCT Number 2009-011470-15 (Extension study).

“I wanna live and not think about the future” what place for advance care planning for people living with severe multiple sclerosis and their families? A qualitative study

Background

Little is known about how people with multiple sclerosis (MS) and their families comprehend advance care planning (ACP) and its relevance in their lives.

Aim

To explore under what situations, with whom, how, and why do people with MS and their families engage in ACP.

Methods

We conducted a qualitative study comprising interviews with people living with MS and their families followed by an ethical discussion group with five health professionals representing specialties working with people affected by MS and their families. Twenty-seven people with MS and 17 family members were interviewed between June 2019 and March 2020. Interviews and the ethical discussion group were audio-recorded and transcribed verbatim. Data were analysed using the framework approach.

Results

Participants’ narratives focused on three major themes: (i) planning for an uncertain future; (ii) perceived obstacles to engaging in ACP that included uncertainty concerning MS disease progression, negative previous experiences of ACP discussions and prioritising symptom management over future planning; (iii) Preferences for engagement in ACP included a trusting relationship with a health professional and that information then be shared across services. Health professionals’ accounts from the ethical discussion group departed from viewing ACP as a formal document to that of an ongoing process of seeking preferences and values. They voiced similar concerns to people with MS about uncertainty and when to initiate ACP-related discussions. Some shared concerns of their lack of confidence when having these discussions.

Conclusion

These findings support the need for a whole system strategic approach where information about the potential benefits of ACP in all its forms can be shared with people with MS. Moreover, they highlight the need for health professionals to be skilled and trained in engaging in ACP discussions and where information is contemporaneously and seamlessly shared across services.

Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis

Multiple sclerosis (MS) manifests heterogeneously among persons suffering from it, making its disease course highly challenging to predict. At present, prognosis mostly relies on biomarkers that are unable to predict disease course on an individual level. Machine learning is a promising technique, both in terms of its ability to combine multimodal data and through the capability of making personalized predictions. However, most investigations on machine learning for prognosis in MS were geared towards predicting physical deterioration, while cognitive deterioration, although prevalent and burdensome, remained largely overlooked. This review aims to boost the field of machine learning for cognitive prognosis in MS by means of an introduction to machine learning and its pitfalls, an overview of important elements for study design, and an overview of the current literature on cognitive prognosis in MS using machine learning. Furthermore, the review discusses new trends in the field of machine learning that might be adopted for future studies in the field.

MRI but not demographic or clinical characteristics differ between familial and sporadic MS cases

BACKGROUND

Multiple sclerosis (MS) is a chronic immune-mediated demyelinating disease. The prevalence and incidence of MS in Iran is high and is rising over time. This study was conducted to compare the demographic, clinical features and MRI findings of MS patients with history of the disease in the first-degree family members (fMS) with sporadic MS patients (sMS) to determine the importance of genetic or non-genetic factors in the development of the disease and its effect in diagnostic and therapeutic modalities.

METHODS

Among the 185 patients admitted to the study, 62 were fMS patients and 123 were sMS patients. All patients underwent clinical examination and data was gathered on age, sex, age of onset, symptoms, number of attacks, disease course, family history, disease-modifying drugs, and other accompanying diseases as well as MRI findings and EDSS scores.

RESULTS

In this study, we demonstrated that the frequency of plaques in the periventricular area was significantly higher in sMS patients (97.56% vs 88.71%, p = 0.01) while the callosal plaques were more common in fMS patients (62.9% vs 47.97%, p = 0.05) which was statistically borderline and nonsignificant. In other evaluated parameters, no significant difference was observed.

CONCLUSION

In our study, no significant difference was observed between the demographic and clinical characteristics of fMS and sMS patients, while there was a significant difference between the two groups in MRI findings.

Early High Efficacy Treatment in Multiple Sclerosis Is the Best Predictor of Future Disease Activity Over 1 and 2 Years in a Norwegian Population-Based Registry

Background: Moderate and high efficacy disease modifying therapies (DMTs) have a profound effect on disease activity. The current treatment guidelines only recommend high efficacy DMTs for patients with highly active MS. The objective was to examine the impact of initial treatment choice in achieving no evidence of disease activity (NEDA) at year 1 and 2.

Methods: Using a real-world population-based registry with limited selection bias from the southeast of Norway, we determined how many patients achieved NEDA on moderate and high efficacy DMTs.

Results: 68.0% of patients who started a high efficacy DMT as the first drug achieved NEDA at year 1 and 52.4% at year 2 as compared to 36.0 and 19.4% of patients who started a moderate efficacy DMT as a first drug. The odds ratio (OR) of achieving NEDA on high efficacy drugs compared to moderate efficacy drugs as a first drug at year 1 was 3.9 (95% CI 2.4–6.1, p < 0.001). The OR for high efficacy DMT as the second drug was 2.5 (95% CI 1.7–3.9, p < 0.001), and was not significant for the third drug. Patients with a medium or high risk of disease activity were significantly more likely to achieve NEDA on a high efficacy therapy as a first drug compared to moderate efficacy therapy as a first drug.

Conclusions: Achieving NEDA at year 1 and 2 is significantly more likely in patients on high-efficacy disease modifying therapies than on moderate efficacy therapies, and the first choice of treatment is the most important. The immunomodulatory treatment guidelines should be updated to ensure early, high efficacy therapy for the majority of patients diagnosed with MS.

Scoring the 10-year risk of ambulatory disability in multiple sclerosis: the RoAD score

BACKGROUND AND PURPOSE

Both baseline prognostic factors and short-term predictors of treatment response can influence the long-term risk of disability accumulation in patients with relapsing-remitting multiple sclerosis (RRMS). The objective was to develop and validate a scoring system combining baseline prognostic factors and 1-year variables of treatment response into a single numeric score predicting the long-term risk of disability.

METHODS

We analysed two independent datasets of patients with RRMS who started interferon beta or glatiramer acetate, had an Expanded Disability Status Scale (EDSS) score <4.0 at treatment start and were followed for at least 10 years. The first dataset ('training set') included patients attending three MS centres in Italy and served as a framework to create the so-called RoAD score (Risk of Ambulatory Disability). The second ('validation set') included a cohort of patients followed in Barcelona, Spain, to explore the performance of the RoAD score in predicting the risk of reaching an EDSS score ≥6.0.

RESULTS

The RoAD score (ranging from 0 to 8) derived from the training set (n = 1225), was based on demographic (age), clinical baseline prognostic factors (disease duration, EDSS) and 1-year predictors of treatment response (number of relapses, presence of gadolinium enhancement and new T2 lesions). The best cut-off score for discriminating patients at higher risk of reaching the disability milestone was ≥4. When applied to the validation set (n = 296), patients with a RoAD score ≥4 had an approximately 4-fold increased risk for reaching the disability milestone (p < 0.001).

DISCUSSION

The RoAD score is proposed as an useful tool to predict individual prognosis and optimize treatment strategy of patients with RRMS.

The outcome of a national MS-Covid-19 study: What the Turkish MS cohort reveals?

Background

The pandemic of the new type of corona virus infection 2019 [Covid-19] also affect people with Multiple Sclerosis (pwMS). Currently, the accumulating information on the effects of the infection regarding the demographic and clinical characteristics of the disease, as well as outcomes within different DMTs¸ enable us to have better practices on the management of the Covid-19 infection in pwMS.

Objective

To investigate the incidence of coronavirus disease 2019 (Covid-19) and to reveal the relationship between the demographic-clinical and therapeutic features and the outcome of Covid-19 infection in a multi-center national cohort of pwMS.

Methods

The Turkish Neurological Society-MS Study Group in association with the Italian MuSC-19 Study Group initiated this study. A web-based electronic Case Report Form (eCRF) of Study-MuSC-19 were used to collect the data. The demographic data and MS histories of the patients were obtained from the file tracking forms of the relevant clinics.

Results

309 MS patients with confirmed Covid-19 infection were included in this study. Two hundred nineteen (219) were females (70.9%). The mean age was 36.9, ranging from 18 to 66, 194 of them (62.8%) were under 40. The clinical phenotype was relapsing-remitting in 277 (89.6%) and progressive in 32 (10.4%). Disease duration ranged from 0.2 years to 31.4 years. The median EDSS was 1.5, ranging from 0 to 8.5. The EDSS score was<= 1 in 134 (43%) of the patients. 91.6% of the patients were on a DMT, Fingolimod was the most frequently used drug (22.0%), followed by Interferon (20.1%). The comorbidity rate is 11.7%. We were not able to detect any significant association of DMTs with Covid-19 severity.

Conclusion

The Turkish MS-Covid-19 cohort had confirmed that pwMS are not at risk of having a more severe COVID-19 outcome irrespective of the DMT that they are treated. In addition, due to being a younger population with less comorbidities most had a mild disease further highlight that the only associated risk factors for having a moderate to severe COVID-19 course are similar with the general population such as having comorbid conditions and being older.

Effectiveness of Dry Needling versus Placebo on Gait Performance, Spasticity, Electromyographic Activity, Pain, Range-of-Movement and Quality of Life in Patients with Multiple Sclerosis: A Randomized Controlled Trial Protocol

Dry needling (DN) is an emerging technique commonly used in neurological and musculoskeletal pain conditions, but there have been no previous studies in patients with multiple sclerosis (pwMS). This trial aims to assess the efficacy of deep DN, compared with sham placebo DN, on gait performance, spasticity level, pain, electromyographic activity, range-of-movement (ROM) and quality of life in pwMS. Forty adults with MS were randomly assigned to one study group. The DN group will undergo 2 sessions (once per week) using DN over the rectus femoris (RF) and gastrocnemius medialis (GM) muscles at the lower extremity with higher spasticity. The placebo group will receive the same protocol using a sham placebo needle (Dong Bang needle). Outcome measures will include gait performance, using the GaitRite^® system, spasticity level with the Modified Ashworth Scale, superficial electromyographic activity of RF and GM, pain (pressure algometer), ROM (goniometer), and quality of life (Musiqol). This study is the first investigating the short-term effect of DN, compared with placebo, in pwMS, and taking into account the possible changes in the electromyographic activity of the lower limb. Therefore, the results may help to understand the suitability of using this technique in the clinical setting for this population. Trial registration: ACTRN12619000880145.

Estimating the relative contribution of comorbidities in predicting health-related quality of life of people with multiple sclerosis

BACKGROUND

Little is known about the relative contribution of comorbidities in predicting the health-related quality of life (HRQoL) of people with Multiple Sclerosis (PwMS).

OBJECTIVE

To determine the associations between the number of and individual comorbidities and HRQoL and estimate the relative contribution of different comorbidities on HRQoL.

METHODS

Cross-sectional analysis of data on self-reported presence of 30 comorbidities and HRQoL from the Australian MS Longitudinal Study (AMSLS) participants (n = 902). HRQoL was measured using the Assessment of Quality of Life-8 Dimensions (AQoL-8D). Linear regression and general dominance analysis were used.

RESULTS

Higher number of comorbidities was associated with lower HRQoL (p trend p < 0.01). Comorbidities accounted for 18.1% of the variance in HRQoL. Mental health and musculoskeletal disorders were the strongest contributors to lower HRQoL. Of individual comorbidities, systemic lupus erythematosus (SLE) [β = - 0.16 (- 0.27, - 0.05)] and depression [β = - 0.15(- 0.18, - 0.13)] were most strongly associated with overall HRQoL, depression [β = - 0.14(- 0.16, - 0.11)] and anxiety [β = - 0.10 (- 0.13, - 0.07)] with psychosocial HRQoL, and SLE [β = - 0.18 (- 0.29, - 0.07)], rheumatoid arthritis [β = - 0.11 (- 0.19, - 0.02)] and hyperthyroidism [β = - 0.11 (- 0.19, - 0.03)) with physical HRQoL.

CONCLUSION

Comorbidities potentially make important contributions to HRQoL in PwMS. Our findings highlight groups of and individual comorbidities that could provide the largest benefits for the HRQoL of PwMS if they were targeted for prevention, early detection, and optimal treatment.

Comorbidities contribute substantially to the severity of common multiple sclerosis symptoms

BACKGROUND

More research is needed to understand the contribution of comorbidities to MS symptomatology.

OBJECTIVES

To examine the dose-response relationship between the number of comorbidities and severity of MS symptoms and to assess the relative contribution of comorbidity groups and individual comorbidities to the severity of each symptom.

METHODS

We surveyed 1223 participants of the Australian MS Longitudinal Study for the presence of 30 comorbidities and the severity of 13 MS symptoms (0-10 scale). The associations between comorbidities and symptoms were assessed using negative binomial regression. The relative contributions of comorbidities to the severity of symptoms were assessed using general dominance analysis.

RESULTS

Higher number of comorbidities was most strongly associated with a higher severity of pain and feelings of anxiety and depression (ratios of means ≥ 0.12 per comorbidity increase). Comorbidities explained between 3.7% (spasticity) and 22.0% (feelings of anxiety) of the total variance of symptom severity. Mental health and musculoskeletal disorders contributed most strongly to the severity of the most common symptoms in MS.

CONCLUSIONS

Our findings support that early recognition and optimal management of comorbidities, particularly of mental health and musculoskeletal disorders, could have a positive impact on the severity of symptoms of people with MS.

Induction Versus Escalation in Multiple Sclerosis: A 10-Year Real World Study

In this independent, multicenter, post-marketing study, we directly compare induction immunosuppression versus escalation strategies on the risk of reaching the disability milestone of Expanded Disability Status Scale (EDSS) ≥ 6.0 over 10 years in previously untreated patients with relapsing-remitting multiple sclerosis. We collected data of patients who started interferon beta (escalation) versus mitoxantrone or cyclophosphamide (induction) as initial treatment. Main eligibility criteria included an EDSS score ≤ 4.0 at treatment start and either ≥ 2 relapses or 1 disabling relapse with evidence of ≥ 1 gadolinium-enhancing lesion at magnetic resonance imaging scan in the pre-treatment year. Since patients were not randomized to treatment group, we performed a propensity score (PS)-based matching procedure to select individuals with homogeneous baseline characteristics. Comparisons were then conducted using Cox models stratified by matched pairs. Overall, 75 and 738 patients started with induction and escalation, respectively. Patients in the induction group were older and more disabled than those in the escalation group (p < 0.05). The PS-matching procedure retained 75 patients per group. In the re-sampled population, a lower proportion of patients reached the outcome after induction (21/75, 28.0%) than escalation (29/75, 38.7%) (hazard ratio = 0.48; p = 0.024). Considering the whole sample, serious adverse events occurred more frequently after induction (8/75, 10.7%) than escalation (18/738, 2.4%) (odds ratio = 3.36, p = 0.015). These findings suggest that, in patients with poor prognostic factors, induction was more effective than escalation in reducing the risk of reaching the disability milestone, albeit with a worse safety profile. Future studies are warranted to explore if newer induction agents may provide a more advantageous long-lasting risk:benefit profile.

Longitudinal Assessment of Multiple Sclerosis with the Brain-Age Paradigm

OBJECTIVE

During the natural course of multiple sclerosis (MS), the brain is exposed to aging as well as disease effects. Brain aging can be modeled statistically; the so-called "brain-age" paradigm. Here, we evaluated whether brain-predicted age difference (brain-PAD) was sensitive to the presence of MS, clinical progression, and future outcomes.

METHODS

In a longitudinal, multicenter sample of 3,565 magnetic resonance imaging (MRI) scans, in 1,204 patients with MS and clinically isolated syndrome (CIS) and 150 healthy controls (mean follow-up time: patients 3.41 years, healthy controls 1.97 years), we measured "brain-predicted age" using T1-weighted MRI. We compared brain-PAD among patients with MS and patients with CIS and healthy controls, and between disease subtypes. Relationships between brain-PAD and Expanded Disability Status Scale (EDSS) were explored.

RESULTS

Patients with MS had markedly higher brain-PAD than healthy controls (mean brain-PAD +10.3 years; 95% confidence interval [CI] = 8.5-12.1] versus 4.3 years; 95% CI = 2.1 to 6.4; p < 0.001). The highest brain-PADs were in secondary-progressive MS (+13.3 years; 95% CI = 11.3-15.3). Brain-PAD at study entry predicted time-to-disability progression (hazard ratio 1.02; 95% CI = 1.01-1.03; p < 0.001); although normalized brain volume was a stronger predictor. Greater annualized brain-PAD increases were associated with greater annualized EDSS score (r = 0.26; p < 0.001).

INTERPRETATION

The brain-age paradigm is sensitive to MS-related atrophy and clinical progression. A higher brain-PAD at baseline was associated with more rapid disability progression and the rate of change in brain-PAD related to worsening disability. Potentially, "brain-age" could be used as a prognostic biomarker in early-stage MS, to track disease progression or stratify patients for clinical trial enrollment. ANN NEUROL 2020 ANN NEUROL 2020;88:93-105.

Disease activity impacts disability progression in primary progressive multiple sclerosis

BACKGROUND

Although solid information on the natural history of primary progressive multiple sclerosis (PPMS) is available, evidence regarding impact of disease activity on PPMS progression remains controversial.

OBJECTIVE

To describe the clinical characteristics, presence or absence of MRI activity, and natural history of a PPMS cohort from two referral centers in Argentina and assess whether clinical and/or radiological disease activity correlated with disability worsening.

METHODS

Retrospective study conducted at two MS clinics in Buenos Aires, Argentina, through comparative analysis of patients with and without evidence of disease activity.

RESULTS

Clinical and/or radiologic activity was presented in 56 (31%) of 178 patients. When stratified by age at onset, we found that for every 10 years of increase in age at onset, risk of reaching EDSS scores of 4 and 6 increased by 26% and 31%, respectively (EDSS 4: HR 1.26, CI 95%: 1.06-1.50; EDSS 6: HR 1.31, CI 95%: 1.06-1.62). Patients who presented clinical exacerbations reached EDSS scores of 6, 7 and 8 faster than those without associated exacerbations (p = 0.009, p = 0.016 and p = 0.001, respectively). Likewise, patients who presented gadolinium-enhancing lesions during the course of disease reached EDSS scores of 7 earlier (p = 0.002).

CONCLUSION

Older age at onset and presence of clinical and/or radiological disease activity correlated with accelerated disability progression in this cohort of PPMS patients.

Cost Assessment Modelling of Treatments for Highly Active Relapsing Multiple Sclerosis

INTRODUCTION

Cost assessment modelling (CAM) of treatments in highly active relapsing multiple sclerosis was conducted.

METHODS

The CAM was developed using the R programming language. The PICOSTEPS health technology assessment framework was applied in the CAM. Modelled patients were 280 adults with highly active relapsing multiple sclerosis eligible for disease-modifying treatment. Intervention was cladribine tablets, a new and reimbursed oral treatment for highly active relapsing multiple sclerosis in Finland. Comparators included fingolimod, the most used oral reimbursed treatment for the highly active disease, and natalizumab, the most used intravenous treatment, and a treatment mix (80% use fingolimod, 20% use natalizumab) in Finland. Outcomes presented expected annual and cumulative drug-associated costs in the overall population and per patient. Setting was modelled public specialist care in Finland. Time was set to 4 years, without discounting. Effects covered expected drug-associated costs (screening, acquisition, administration, monitoring, adverse events, travelling, productivity). Perspective was a limited societal perspective. Sensitivity analyses regarding all PICOSTEPS components were conducted.

RESULTS

Cladribine tablets were projected to be cost saving in comparison to fingolimod, natalizumab and treatment mix. The respective modelled savings were €4,598,742, €16,249,701 and €6,928,934 in the overall population, and €16,424, €58,035 and €24,746 per patient, respectively, during the 4 years. The most important cost driver was drug costs, representing 96.3%, 96.0% and 83.4% of modelled costs associated with cladribine tablets, fingolimod and natalizumab, respectively. Cladribine tablets sustained their affordability in the sensitivity analyses. From the perspective of health care payer, cladribine tablets' savings were projected to be €4,514,509, €15,145,366 and €6,640,680 in the overall population, and €16,123, €54,091 and €23,717 per patient in comparison to fingolimod, natalizumab and treatment mix, respectively.

CONCLUSION

Based on the CAM, cladribine tablets were projected to robustly save modelled drug-associated costs in comparison to fingolimod, natalizumab and their mix in Finland.

"No evidence of disease activity": Is it an aspirational therapeutic goal in multiple sclerosis?

'No evidence of disease activity' (NEDA) that has been identified as a potential outcome measure for the evaluation of DMTs effects. The concept has been adopted from other diseases such as cancer where treatment is intended to free the patient from the disease. Disease-free status has been substituted by NEDA in MS, since we are limited when it comes to fully evaluating the underlying disease. In general, NEDA, otherwise termed as NEDA-3, is defined by the lack of disease activity based on the absence of clinical relapses, disability progression with the expanded disability status score (EDSS), and radiological activity. Recently, brain atrophy, a highly predictive marker of disability progression, has been added as a fourth component (NEDA-4). The use of this composite allowed a more comprehensive assessment of the disease activity. Indeed, it has an important role in clinical trials as a secondary outcome in addition to primary endpoints. However, the evidence is insufficient regarding the ability of NEDA to predict future disability and treatment response. Moreover, combining different composites does not eliminate the limitation of each, therefore the use of NEDA in clinical routine is still not implemented. The aim of this review is first to report from the literature the available definitions of NEDA and its different variants, and second, evaluate the importance of its use as a surrogate marker to assess the efficacy of different DMTs.

Environmental risk factors for multiple sclerosis in Japanese people

BACKGROUND

The prevalence of multiple sclerosis (MS) has been increasing worldwide in recent years, especially among females. The same increasing trends are even observed in East Asian countries, where the prevalence of MS is relatively low compared with Northern European ancestries. Whether the environmental risk factors for MS are shared between Asian and North European ancestries, and the types of environmental factors that contribute to the low and recent increase in MS prevalence in Asian countries remain unknown. This study provides the first comprehensive survey of environmental risks for MS in East Asia.

METHODS

Patients with MS were recruited from the Department of Neurology at Kyushu University Hospital, Japan between 01 April 2017 and 31 March 2018. Healthy controls (HCs) were recruited by public notification. All participants were residents of Kyushu Island and were required to complete medical history and lifestyle questionnaires. Dietary data were collected using a Food Frequency Questionnaire comprising intake of approximately 140 food and beverage items in the past 1 year. One hundred and three patients with MS and 124 healthy controls (HCs) completed the questionnaires. Age at onset and disability score measured by the Kurtzke Expanded Disability Status Scale (EDSS) were obtained from medical records.

RESULTS

Frequency of obesity (body mass index ≥25 kg/m²) at present time was higher in MS patients than in HCs (19.4% vs. 7.4%, p = 0.009), while body mass index at age 18-20 years did not differ between the two groups. Frequency of current or ex-smokers was higher in MS patients than in HCs (50.5% vs. 22.8%, p < 0.0001) and disability measured by the EDSS was more severe in MS patients with active smoking history than in patients without such history (p = 0.006 after adjusting for sex). Passive smoking after age 16 years was also a risk factor for MS (odds ratio: 1.31, 95% confidence interval: 1.05-1.63, p = 0.015). Longer sunlight exposure in early childhood was a protective factor for MS (odds ratio: 0.65 during summer and 0.71 during winter at age 6-10 years; 0.71 during summer and 0.72 during winter at age 11-15 years). MS patients had earlier age of menarche than HCs (mean: 12.4 years vs. 12.9 years, p = 0.031). Intake of grains was lower in MS patients than in HCs, with intake of rice in particular being significantly lower in MS patients than in HCs (mean: 235.2 g/day vs. 280.6 g/day, p = 0.006). Previously reported foods associated with MS in Northern European ancestries were not replicated in Japanese people.

CONCLUSION

Smoking and earlier age of menarche are positively associated and sunlight exposure in early childhood is negatively associated with MS in Japanese people as shown in Caucasians. Intake of steamed short-grain white rice, a staple food in Japan, is newly found to be negatively associated with MS in Japanese people. Although the causality is unclear because the participants were prevalent cases, these environmental factors may be involved in the rising prevalence of MS in Japanese females.

PACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection

BACKGROUND AND PURPOSE

The standard for evaluating interval radiologic activity in MS, side-by-side MR imaging comparison, is restricted by its time-consuming nature and limited sensitivity. VisTarsier, a semiautomated software for comparing volumetric FLAIR sequences, has shown better disease-activity detection than conventional comparison in retrospective studies. Our objective was to determine whether implementing this software in day-to-day practice would show similar efficacy.

MATERIALS AND METHODS

VisTarsier created an additional coregistered image series for reporting a color-coded disease-activity change map for every new MS MR imaging brain study that contained volumetric FLAIR sequences. All other MS studies, including those generated during software-maintenance periods, were interpreted with side-by-side comparison only. The number of new lesions reported with software assistance was compared with those observed with traditional assessment in a generalized linear mixed model. Questionnaires were sent to participating radiologists to evaluate the perceived day-to-day impact of the software.

RESULTS

Nine hundred six study pairs from 538 patients during 2 years were included. The semiautomated software was used in 841 study pairs, while the remaining 65 used conventional comparison only. Twenty percent of software-aided studies reported having new lesions versus 9% with standard comparison only. The use of this software was associated with an odds ratio of 4.15 for detection of new or enlarging lesions (P = .040), and 86.9% of respondents from the survey found that the software saved at least 2-5 minutes per scan report.

CONCLUSIONS

VisTarsier can be implemented in real-world clinical settings with good acceptance and preservation of accuracy demonstrated in a retrospective environment.

Comorbidities are prevalent and detrimental for employment outcomes in people of working age with multiple sclerosis

Background:

More work is needed to understand the burden of comorbidities in people with multiple sclerosis (MS).

Objective:

To assess prevalence of 30 comorbidities and impacts of comorbidities on employment outcomes in a working-aged MS cohort.

Methods:

Participants were from the Australian MS Longitudinal Study ( n = 929). Information on specific comorbidity was obtained (whether or not each was present, doctor-diagnosed, limited their activities and being treated).

Results:

Comorbidities most frequently reported to limit activities were osteoarthritis (51%), migraines (40%), anxiety (33%), depression (29%) and allergies (18%). Mean MS-related work productivity loss in past 4 weeks was 1.3 days for those without comorbidities and 2.5 days for those with any comorbidity. The annual population costs of work productivity loss were highest for people with depression, allergies, anxiety, migraines and osteoarthritis. Higher number of comorbidities was associated with more work productivity loss and a higher likelihood of not working. These associations were substantially reduced after adjustment for MS symptom severity.

Conclusions:

Comorbidities substantially impact employment outcomes and these effects were mainly mediated through MS symptom severity. This suggests that optimal and simultaneous management of comorbidities may be a viable strategy to reduce MS symptom severity, which in turn could improve employment outcomes.

Earnings among people with multiple sclerosis compared to references, in total and by educational level and type of occupation: a population-based cohort study at different points in time

OBJECTIVES

To investigate earnings among people with multiple sclerosis (PwMS) before and after MS diagnosis compared with people without MS, and if identified differences were associated with educational levels and types of occupations. Furthermore, to assess the proportions on sickness absence (SA) and disability pension (DP) in both groups.

DESIGN

Population-based longitudinal cohort study, 10 years before until 5 years after MS diagnosis.

SETTING

Working-age population using microdata linked from nationwide Swedish registers.

PARTICIPANTS

Residents in Sweden in 2004 aged 30-54 years with MS diagnosed in 2003-2006 (n=2553), and references without MS (n=7584) randomly selected by stratified matching.

OUTCOME MEASURES

Quartiles of earnings were calculated for each study year prior to and following the MS diagnosis. Mean earnings, by educational level and type of occupation, before and after diagnosis were compared using t-tests. Tobit regressions investigated the associations of earnings with individual characteristics. The proportions on SA and/or DP, by educational level and type of occupation, for the diagnosis year and 5 years later were compared.

RESULTS

Differences in earnings between PwMS and references were observed beginning 1 year before diagnosis, and increased thereafter. PwMS had lower mean earnings for the diagnosis year (difference=SEK 28 000, p<0.05), and 5 years after diagnosis, this difference had more than doubled (p<0.05). These differences remained after including educational level and type of occupation. Overall, the earnings of PwMS with university education and/or more qualified occupations were most like their reference peers. The proportions on SA and DP were higher among PwMS than the references.

CONCLUSIONS

The results suggest that the PwMS' earnings are lower than the references' beginning shortly before MS diagnosis, with this gap increasing thereafter. Besides SA and DP, the results indicate that educational level and type of occupation are influential determinants of the large heterogeneity of PwMS' earnings.

Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks

Recent advances in image acquisition and processing techniques, along with the success of novel deep learning architectures, have given the opportunity to develop innovative algorithms capable to provide a better characterization of neurological related diseases. In this work, we introduce a neural network based approach to classify Multiple Sclerosis (MS) patients into four clinical profiles. Starting from their structural connectivity information, obtained by diffusion tensor imaging and represented as a graph, we evaluate the classification performances using unweighted and weighted connectivity matrices. Furthermore, we investigate the role of graph-based features for a better characterization and classification of the pathology. Ninety MS patients (12 clinically isolated syndrome, 30 relapsing-remitting, 28 secondary-progressive, and 20 primary-progressive) along with 24 healthy controls, were considered in this study. This work shows the great performances achieved by neural networks methods in the classification of the clinical profiles. Furthermore, it shows local graph metrics do not improve the classification results suggesting that the latent features created by the neural network in its layers have a much important informative content. Finally, we observe that graph weights representation of brain connections preserve important information to discriminate between clinical forms.

Impairment and restrictions in possibly benign multiple sclerosis

OBJECTIVE

The aim was to describe a broad range of health dimensions in possibly benign multiple sclerosis (MS) hypothesizing that despite some limitations there is a high adaptation to the disease.

METHODS

All patients from an outpatient university clinic data registry with an Expanded Disability Status Scale (EDSS) ≤3.5 and disease duration ≥15 years were addressed in a cross-sectional study. Physical impairment, neuropsychological functioning but also influence on activities and patient reported outcome measures including coping were studied.

RESULTS

One hundred and twenty-five patients could be included (mean EDSS: 2.8; mean disease duration: 24 years). Cognitive impairment was minor (8%) but fatigue (73%) and depression (46%) were prevalent. Nevertheless, QOL and daily activities seemed to be less affected. Patients showed high social support, coping abilities, and sense of coherence, which was predictive for their perceived benignity of the disease. Based on the EDSS alone, we estimated the rate of benign MS after 15 years of MS as high as 23% decreasing to 16% if cognition was included in the definition. However, cognitive performance was not relevantly associated with other outcomes.

CONCLUSION

Common benign MS definitions seem to simplify a complex disease picture where different impairments and personal resources lead to more or less impact on people's lives.

Interferon Beta-1b for the Treatment of Multiple Sclerosis – More than 10 Years of Experience

Objective: Interferon beta-1b (IFNβ-1b) was the first disease-modifying agent (DMT) used for the treatment of multiple sclerosis (MS). We aimed to evaluate the first patients with MS that started treatment in our clinic.

Methods: An observational, retrospective study was performed on 78 patients that had continuous treatment with IFNβ-1b for more than 10 years. The collection of the demographical data and periodical clinical evaluation was performed on all patients. The disability was quantified using the Expanded Disability Status Scale (EDSS), creating two groups of patients, G1: EDSS < 4.0 and G2: EDSS ≥ 4.0. The hallmarks of the disability evolution were gathered by direct patient interview, such as the symptoms at onset and relapse frequency.

Results: After more than 17 years of disease evolution, more than half (65.38%) of the patients present a mild disability score. The majority (54.90%) started treatment in the first three years after the onset, while the patients in G2 started treatment after more than 3 years from the onset. The initiation of IFNβ-1b lead to a significant reduction of the relapse rates. A reduced number of patients (<25%) transitioned from RRMS to SPMS.

Discussion: Continuous evaluation of MS patients allows us to assess the possibility of prolonged treatment with IFNβ-1b and to differentiate the responders from non-responders. The clear reduction in relapse rates and disability progression, notably in patients that started treatment early ensure us into continuing administering this medication. Compared to historical cohorts, our lot had a slower disability evolution and a significant proportion hadn’t reach an important disability score.

Multiple sclerosis

Multiple sclerosis (MS) is the most common chronic inflammatory, demyelinating and neurodegenerative disease of the central nervous system in young adults. This disorder is a heterogeneous, multifactorial, immune-mediated disease that is influenced by both genetic and environmental factors. In most patients, reversible episodes of neurological dysfunction lasting several days or weeks characterize the initial stages of the disease (that is, clinically isolated syndrome and relapsing-remitting MS). Over time, irreversible clinical and cognitive deficits develop. A minority of patients have a progressive disease course from the onset. The pathological hallmark of MS is the formation of demyelinating lesions in the brain and spinal cord, which can be associated with neuro-axonal damage. Focal lesions are thought to be caused by the infiltration of immune cells, including T cells, B cells and myeloid cells, into the central nervous system parenchyma, with associated injury. MS is associated with a substantial burden on society owing to the high cost of the available treatments and poorer employment prospects and job retention for patients and their caregivers.

Experimental Autoimmune Encephalomyelitis (EAE) as Animal Models of Multiple Sclerosis (MS)

Multiple sclerosis (MS) is a multifocal demyelinating disease of the central nervous system (CNS) leading to the progressive destruction of the myelin sheath surrounding axons. It can present with variable clinical and pathological manifestations, which might reflect the involvement of distinct pathogenic processes. Although the mechanisms leading to the development of the disease are not fully understood, numerous evidences indicate that MS is an autoimmune disease, the initiation and progression of which are dependent on an autoimmune response against myelin antigens. In addition, genetic susceptibility and environmental triggers likely contribute to the initiation of the disease. At this time, there is no cure for MS, but several disease-modifying therapies (DMTs) are available to control and slow down disease progression. A good number of these DMTs were identified and tested using animal models of MS referred to as experimental autoimmune encephalomyelitis (EAE). In this review, we will recapitulate the characteristics of EAE models and discuss how they help shed light on MS pathogenesis and help test new treatments for MS patients.

Prognostic information for people with MS: Impossible or inevitable?

Delivering prognostic information is a challenging issue in medicine and has been largely neglected in the past. A major reason has been a suspected nocebo effect of pessimistic estimates, although this is largely unproven. Among people with multiple sclerosis (MS), there is a strong unmet need to receive long-term prognostic information. This viewpoint discusses reasons for this blind spot in physicians' attitude, foremost among which is the uncertainty of prognostic estimates. Possible strategies to move forward include tools to identify matching patients from large well-defined databases, to deliver an evidence-based individualized estimate of long-term prognosis, and its confidence interval, in a clinical setting.

Information provision for people with multiple sclerosis

BACKGROUND

People with multiple sclerosis (MS) are confronted with a number of important uncertainties concerning many aspects of the disease. These include diagnosis, prognosis, disease course, disease-modifying therapies, symptomatic therapies, and non-pharmacological interventions, among others. While people with MS demand adequate information to be able to actively participate in medical decision making and to self manage their disease, it has been shown that patients' disease-related knowledge is poor, therefore guidelines recommend clear and concise high-quality information at all stages of the disease. Several studies have outlined communication and information deficits in the care of people with MS. However, only a few information and decision support programmes have been published.

OBJECTIVES

The primary objectives of this updated review was to evaluate the effectiveness of information provision interventions for people with MS that aim to promote informed choice and improve patient-relevant outcomes, Further objectives were to evaluate the components and the developmental processes of the complex interventions used, to highlight the quantity and the certainty of the research evidence available, and to set an agenda for future research.

SEARCH METHODS

For this update, we searched the Cochrane Multiple Sclerosis and Rare Diseases of the Central Nervous System Group Specialised Register, which contains trials from CENTRAL (the Cochrane Library 2017, Issue 11), MEDLINE, Embase, CINAHL, LILACS, PEDro, and clinical trials registries (29 November 2017) as well as other sources. We also searched reference lists of identified articles and contacted trialists.

SELECTION CRITERIA

Randomised controlled trials (RCTs), cluster-randomised controlled trials, and quasi-randomised trials comparing information provision for people with MS or suspected MS (intervention groups) with usual care or other types of information provision (control groups) were eligible.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed the retrieved articles for relevance and methodological quality and extracted data. Critical appraisal of studies addressed the risk of selection bias, performance bias, attrition bias, and detection bias. We contacted authors of relevant studies for additional information.

MAIN RESULTS

We identified one new RCT (73 participants), which when added to the 10 previously included RCTs resulted in a total of 11 RCTs that met the inclusion criteria and were analysed (1387 participants overall; mean age, range: 31 to 51; percentage women, range: 63% to 100%; percentage relapsing-remitting MS course, range: 45% to 100%). The interventions addressed a variety of topics using different approaches for information provision in different settings. Topics included disease-modifying therapy, relapse management, self care strategies, fatigue management, family planning, and general health promotion. The active intervention components included decision aids, decision coaching, educational programmes, self care programmes, and personal interviews with physicians. All studies used one or more components, but the number and extent differed markedly between studies. The studies had a variable risk of bias. We did not perform meta-analyses due to marked clinical heterogeneity. All five studies assessing MS-related knowledge (505 participants; moderate-certainty evidence) detected significant differences between groups as a result of the interventions, indicating that information provision may successfully increase participants' knowledge. There were mixed results on decision making (five studies, 793 participants; low-certainty evidence) and quality of life (six studies, 671 participants; low-certainty evidence). No adverse events were detected in the seven studies reporting this outcome.

AUTHORS' CONCLUSIONS

Information provision for people with MS seems to increase disease-related knowledge, with less clear results on decision making and quality of life. The included studies in this review reported no negative side effects of providing disease-related information to people with MS. Interpretation of study results remains challenging due to the marked heterogeneity of interventions and outcome measures.

Predicting the profile of increasing disability in multiple sclerosis

Background:

Effective therapeutic strategies to preserve function and delay progression in multiple sclerosis (MS) require early recognition of individual disease trajectories.

Objectives:

To determine the profiles of disability evolution, identify their early predictors and develop a risk score of increasing disability.

Methods:

We analysed demographic, clinical and magnetic resonance imaging (MRI) data from patients with relapsing MS, Expanded Disability Status Scale (EDSS) score of 3.0–4.0 and follow-up ≥ 2 years. Attaining EDSS = 6.0 defined increasing disability; relapses and/or MRI defined disease activity.

Results:

In total, 344 out of 542 (63.5%) patients reached EDSS ≥ 6.0; of these, 220 (64.0%) showed disease activity. In patients with activity, the number of relapses before reaching EDSS 3.0–4.0 predicted increasing disability; age > 45 at baseline predicted increasing disability without activity. Combining age and number of relapses increased the risk of and shortened the time to EDSS = 6.0.

Conclusion:

Increasing disability is frequently associated with persistent activity. The high number of relapses identifies early those patients worsening in the presence of activity. Age predicts increasing disability in the absence of activity. The presence of both factors increases the risk of developing severe disability. As this study likely describes the transition to progression, our findings contribute to improving patient management and stratification in trials on progressive MS.

'No evidence of disease activity' - is it an appropriate surrogate in multiple sclerosis?

The increasing number of disease‐modifying treatments available for multiple sclerosis has broadened treatment options for patients, but also challenges clinicians to select the best therapy for each individual at the appropriate stage of the disease. Early prediction of treatment response still remains one of the main difficulties in the management of multiple sclerosis patients. The concept of ‘no evidence of disease activity’ (NEDA) has been proposed as a surrogate for treatment response based on the absence of relapses, disability progression and radiological activity. Although there are several apparently logical arguments for the NEDA approach, there are also some major concerns that have to be considered and that are not sufficiently addressed yet. Amongst others, each parameter's limitations are not eliminated solely by its use within a composite score, and the contribution of each parameter to NEDA is not well balanced, as the detection of, for example, a single new magnetic resonance imaging lesion is considered as significant as the occurrence of a severely disabling relapse. NEDA in its current form also neglects underlying pathophysiology of the disease, has not been shown to fulfil formal criteria of a surrogate marker and its prognostic value has not been sufficiently evidenced yet. From a clinical point of view, ‘evidence of disease activity’ seems the more relevant surrogate; however, its implications are even less clear than those of NEDA. Here, existing literature on NEDA is critically reviewed and improvements are discussed that value its potential use in clinical trials and, even more importantly, treatment decision making in daily routine.

Multiple Sclerosis: Epidemiologic, Clinical, and Therapeutic Aspects

Multiple sclerosis (MS) is a chronic autoimmune and degenerative disease of the central nervous system that affects young people. MS develops in genetically susceptible individuals exposed to different unknown triggering factors. Different phenotypes are described. About 15% of patients present with a primary progressive course and 85% with a relapsing-remitting course. An increasing number of disease-modifying treatments has emerged. Although encouraging, the number of drugs challenges the neurologist because each treatment has its own risk-benefit profile. Patients should be involved in the decision-making process to ensure good treatment and safety monitoring adherence.

Do people with multiple sclerosis want to know their prognosis? A UK nationwide study

Background

Multiple sclerosis (MS) has a varied and uncertain trajectory. The recent development of analytical processing tools that draw on large longitudinal patient databases facilitates personalised long-term prognosis estimates. This has the potential to improve both shared treatment decision-making and psychological adjustment. However, there is limited research on how people with MS feel about prognosis communication and forecasting. This study investigated the prognosis communication experiences and preferences of people with MS and explored whether clinical, demographic and psychological factors are associated with prognosis information preferences.

Methods

3175 UK MS Register members (59% of those with active accounts) completed an online survey containing 17 questions about prognosis communication experiences, attitudes and preferences. Participants also completed validated questionnaires measuring coping strategies, tendencies to seek out (‘monitor’) or avoid (‘blunt’) information in threatening situations, and MS risk perceptions and reported their clinical and sociodemographic characteristics. Data already held on the MS Register about participants’ quality of life, anxiety and depression symptoms and MS impact were obtained and linked to the survey data.

Results

53.1% of participants had never discussed long-term prognosis with healthcare professionals. 54.2% lacked clarity about their long-term prognosis. 76% had strong preferences for receiving long-term prognosis information. 92.8% were interested in using tools that generate personalised predictions. Most participants considered prognostication useful for decision-making. Participants were more receptive to receiving prognosis information at later time-points, versus at diagnosis. A comprehensive set of sociodemographic, clinical and psychological variables predicted only 7.9% variance in prognosis information preferences.

Conclusions

People with MS have an appetite for individualised long-term prognosis forecasting and their need for information is frequently unmet. Clinical studies deploying and evaluating interventions to support prognostication in MS are now needed. This study indicates suitable contexts and patient preferences for initial trials of long-term prognosis tools in clinical settings.

ECTRIMS/EAN Guideline on the pharmacological treatment of people with multiple sclerosis

BACKGROUND

Multiple sclerosis (MS) is a complex disease with new drugs becoming available in the past years. There is a need for a reference tool compiling current data to aid professionals in treatment decisions.

OBJECTIVES

To develop an evidence-based clinical practice guideline for the pharmacological treatment of people with MS.

METHODS

This guideline has been developed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology and following the updated EAN recommendations. Clinical questions were formulated in Patients-Intervention-Comparator-Outcome (PICO) format and outcomes were prioritized. The quality of evidence was rated into four categories according to the risk of bias. The recommendations with assigned strength (strong and weak) were formulated based on the quality of evidence and the risk-benefit balance. Consensus between the panelists was reached by use of the modified nominal group technique.

RESULTS

A total of 10 questions were agreed, encompassing treatment efficacy, response criteria, strategies to address suboptimal response and safety concerns and treatment strategies in MS and pregnancy. The guideline takes into account all disease-modifying drugs approved by the European Medicine Agency (EMA) at the time of publication. A total of 21 recommendations were agreed by the guideline working group after three rounds of consensus.

CONCLUSION

The present guideline will enable homogeneity of treatment decisions across Europe.

Disulfiram and Diphenhydramine Hydrochloride Upregulate miR-30a to Suppress IL-17-Associated Autoimmune Inflammation

T-helper 17 (Th17) cells play an important role in the pathogenesis of multiple sclerosis (MS), an autoimmune demyelinating disease that affects the CNS. In the present study, MicroRNA sequencing (miRNA-seq) was performed in mouse Th0 and Th17 cells to determine the critical miRNAs that are related to Th17 differentiation. We found that miR-30a was significantly downregulated during mouse Th17 differentiation. In addition, the level of miR-30a in CD4(+) T cells from peripheral blood of MS patients and experimental autoimmune encephalomyelitis (EAE) animal models was also decreased and inversely correlated with the expression of interleukin 17a, the canonical cytokine of Th17 cells. Moreover, overexpression of miR-30a inhibited Th17 differentiation and prevented the full development of EAE, whereas interference of miR-30a promoted Th17 differentiation. Mechanism studies showed that miR-30a reduced IRF4 expression by specifically binding with the 3'-untranslated region. Through screening of 640 different Food and Drug Administration (FDA)-approved drugs, we found that disulfiram and diphenhydramine hydrochloride were effective candidates for inhibiting Th17 differentiation and ameliorating EAE development through upregulating miR-30a. To our knowledge, the present work is not only the first miRNA-seq study focusing on Th17 differentiation, but also the first chemical screening for FDA-approved drugs that inhibit Th17 differentiation through regulating miRNA expression.

SIGNIFICANCE STATEMENT

The present work is the first miRNA sequencing (miRNA-seq) study focusing on T-helper 17 (Th17) differentiation. By miRNA deep sequencing, we found that miR-30a was downregulated during Th17 differentiation. miR-30a was also decreased in CD4(+) T cells from multiple sclerosis patients and experimental autoimmune encephalomyelitis (EAE) mice. miR-30a reduced IRF4 expression by specific binding with the 3'-untranslated region and thus suppressed Th17 differentiation and prevented the full development of EAE. Interestingly, by performing a chemical screen with Food and Drug Administration-approved small-molecule drugs, we found that disulfiram and diphenhydramine upregulated miR-30a and suppressed Th17-associated autoimmune demyelination.

Anemoside A3 ameliorates experimental autoimmune encephalomyelitis by modulating T helper 17 cell response

Anemoside A₃ (AA3) is a natural triterpenoid glycoside isolated from the root of Pulsatilla chinensis (Bunge) Regel. We previously showed that AA3 exhibits cognitive-enhancing and neuroprotective properties. In the present study, we demonstrated that AA3 modulates inflammatory responses by regulating prostaglandin E receptor 4 signaling. Because prostaglandin E receptor 4 is involved in the pathophysiology of experimental autoimmune encephalomyelitis (EAE), an animal model of human multiple sclerosis (MS), we assessed the beneficial effect of AA3 in EAE mice. AA3 treatment significantly reduced clinical severity and inflammatory infiltrates in the spinal cord of EAE mice. In vitro studies revealed that AA3 inhibited the T cell response toward the encephalitogenic epitope of myelin oligodendrocyte glycoprotein (MOG). AA3 significantly downregulated the expressions of certain Th1 and Th17 cytokines in activated T cells re-stimulated by MOG. Moreover, AA3 inhibited the activation of STAT4 and STAT3, which are the transcription factors pivotal for Th1 and Th17 lineage differentiation, respectively, in activated T cells. Pharmacological analysis further suggested that AA3 reduced Th17 cell differentiation and expansion. In conclusion, AA3 exerts an immunomodulatory effect in EAE, demonstrating its potential as a therapeutic agent for MS in humans.

Fatigue after a first attack of suspected multiple sclerosis

Background:

Fatigue is reported by more than 75% of multiple sclerosis (MS) patients. In an earlier study, we showed that fatigue is not only a common symptom in patients at time of clinically isolated syndrome (CIS; fatigued 46%) but also predicts subsequent diagnosis of clinically definite multiple sclerosis (CDMS). The course of fatigue after CIS is unknown.

Objective:

We aimed to explore the long-term course of fatigue after CIS.

Methods:

In this study, 235 CIS patients, aged 18–50 years, were prospectively followed. Patients filled in the Krupp’s Fatigue Severity Scale (FSS) and the Hospital Anxiety and Depression Scale (HADS) at baseline and annually. After reaching CDMS diagnosis, Expanded Disability Status Scale (EDSS) was obtained annually. Mixed-effects models were used to analyse longitudinal FSS measurements.

Results:

Fatigue at baseline was an independent predictor for CDMS diagnosis (hazard ratio (HR): 2.6, 95% confidence interval (CI): 1.6–4.4). The evolution of FSS was the same in CIS patients who remained monophasic and patients who were diagnosed with CDMS during follow-up. However, FSS increased by 0.86 units after reaching CDMS diagnosis (p = 0.01). After this increase, the FSS course remained unaltered (p = 0.44).

Conclusion:

Fatigue, which is often present at time of CIS, probably persists over time and increases after a second attack.

Malignant multiple sclerosis: clinical and demographic prognostic factors

ABSTRACT Patients with malignant multiple sclerosis (MMS) reach a significant level of disability within a short period of time (Expanded Disability Status Scale score of 6 within five years). The clinical profile and progression of the disease were analyzed in a Brazilian cohort of 293 patients. Twenty-five (8,53%) patients were found to have MMS and were compared with the remaining 268 (91,47%). Women, non-white patients, older age at disease onset, shorter intervals between the first attacks, and more attacks in the first two years of the disease were all more common in the MMS group. These findings could serve as prognostic factors when making therapeutic decisions.