Early highly effective versus escalation treatment approaches in relapsing multiple sclerosis

Multiple Sclerosis: From the Application of Oligoclonal Bands to Novel Potential Biomarkers

Multiple sclerosis is a chronic immune-mediated disorder of the central nervous system with a high heterogeneity among patients. In the clinical setting, one of the main challenges is a proper and early diagnosis for the prediction of disease activity. Current diagnosis is based on the integration of clinical, imaging, and laboratory results, with the latter based on the presence of intrathecal IgG oligoclonal bands in the cerebrospinal fluid whose detection via isoelectric focusing followed by immunoblotting represents the gold standard. Intrathecal synthesis can also be evidenced by the measurement of kappa free light chains in the cerebrospinal fluid, which has reached similar diagnostic accuracy compared to that of oligoclonal bands in the identification of patients with multiple sclerosis; moreover, recent studies have also highlighted its value for early disease activity prediction. This strategy has significant advantages as compared to using oligoclonal band detection, even though some issues remain open. Here, we discuss the current methods applied for cerebrospinal fluid analysis to achieve the most accurate diagnosis and for follow-up and prognosis evaluation. In addition, we describe new promising biomarkers, currently under investigation, that could contribute both to a better diagnosis of multiple sclerosis and to its monitoring of the therapeutic treatment response.

Burden of treatment and quality of life in relapsing remitting multiple sclerosis patients under early high efficacy therapy in Argentina: Data from the Argentinean registry

The objective of this study was to describe and compare the burden of treatment (BOT) and the quality of life (QoL) in early high efficacy therapy (HET) vs. escalation therapy in relapsing remitting multiple sclerosis (RRMS) patients included in RelevarEM, the Argentinean registry of MS (RelevarEM, NCT 03,375,177).

METHODS

cross sectional study conducted between September and December 2022. Participating patients were adults, RRMS patients who initiated (during the last three years) their treatment with a HET (natalizumab, ocrelizumab, alemtuzumab, cladribine) or with escalation treatment (beta interferon, glatiramer acetate, teriflunomide, dimethyl fumarate or fingolimod). Clinical and demographic aspect were collected. QoL and BOT was measured with the validated to Spanish MusiQol and BOT questionnaire. Propensity score (PS)-based nearest-neighbor matching was applied to homogenize groups. Comparisons were be done using a linear regression analysis model stratified by matched pairs, with BOT and QoL assessments as main outcomes.

RESULTS

269 patients were included in the analysis, mean age 33.7 ± 5.7 years, 193 (71.7 %) were female. A total of 136 patients were on early HET while 133 were on escalation therapy. In the entire group the mean total BOT score (±SD) was 48.5 ± 15.3 while in the group of patients receiving early HET we observed that the mean BOT score (±SD) was 43.5 ± 12.2 vs. 54.3 ± 13.3 in escalation treatment (p < 0.0001). Regarding the score QoL (±SD), in the entire sample we observed a global score of 77.4 ± 11.2. When we stratified groups, in HET (±SD) it was 81.3 ± 14 vs. 74.1 ± 18.3 in escalation therapy (p = 0.0003).

CONCLUSION

in this multicenter study that included 269 patients from Argentina we observed in early HET a significantly lower BOT and higher QoL than patients receiving escalation therapy.

Substantial and comparable suppression of disease activity following early initiation of cladribine tablets, ocrelizumab or alemtuzumab as first pharmacologic treatment for relapsing multiple sclerosis: A real world study

BACKGROUND

We describe the efficacy and safety of recent high efficacy disease DMTs in DMT-naive patients with highly active RMS.

METHODS

This was a retrospective, cross sectional study from the Kuwait national MS registry. Patients with RMS who received alemtuzumab, cladribine tablets or ocrelizumab as their first DMT for RMS, with ≥2 year of follow up were included. The primary endpoint was the change in relapse rate from treatment initiation to 1 year; changes in disability (Expanded Disability Status Scale [EDSS]), radiologic activity, the proportion with no evidence of disease activity-3 (NEDA-3), and the frequency of adverse events were secondary endpoints.

RESULTS

Among 123 RRMS patients, 59 received ocrelizumab, 32 received cladribine tablets and 32 received alemtuzumab. About two-thirds (65%) were women. Substantial and similar (p>0.05) reductions occurred at the end of follow-up in annual relapse rate (by 93.2% for ocrelizumab, 87.5% for cladribine tablets, and 90.6% for alemtuzumab). The proportion with new T2 of gadolinium-enhancing MRI lesions across the three groups was reduced from 85-100% to 7-13%. Rates of confirmed disability progression were low (ocrelizumab 6.9%, cladribine tablets 3.1%, alemtuzumab 0%; p=0.280); disability was reduced in 15%, 22% and 38%, respectively. NEDA-3 was observed in 89.8%, 87.5%, and 84.4, respectively (p=0.784). No new or unexpected safety issues occurred.

CONCLUSION

Ocrelizumab, cladribine tablets and alemtuzumab reduced relapse rates and MRI activity, and prevented disease progression, when are initiated early in DMT-naive RMS patients. These data support the early use of high-efficacy DMTs for people with highly active RMS.

Association of oral disease-modifying agents and their adherence trajectories with annual relapses in multiple sclerosis

BACKGROUND

Real-world effectiveness can vary across oral disease-modifying agents (DMAs) and their adherence trajectories in patients with multiple sclerosis (MS). However, previous studies have not considered longitudinal adherence patterns while evaluating oral DMAs.

OBJECTIVES

This study aimed to evaluate the association of oral DMAs and their adherence trajectories with annualized relapse rate (ARR) in patients with MS.

METHODS

This retrospective observational cohort study based on the 2015-2019 MarketScan Commercial Claims and Encounters Database involved continuous enrolled adults (18-64 years) with ≥1 MS diagnosis (ICD-9/10-CM:340/G35) and ≥ 1 oral DMA prescription. Patients were grouped into incident fingolimod (FIN), teriflunomide (TER), and dimethyl fumarate (DMF) users based on the index DMA with a one-year washout period. Annual DMA adherence trajectories based on the monthly Proportion of Days Covered (PDC) one year after treatment initiation were identified using Group-Based Trajectory Modeling (GBTM). The validated claims-based ARR was evaluated during the one-year follow-up period using generalized boosted model-based inverse probability treatment weights with negative binomial regression model.

RESULTS

The study cohort consisted of 994 MS patients who initiated with FIN (23.0%), TER (22.3%), and DMF (54.7%) during the study period. GBTM grouped eligible patients into three adherence trajectories: complete adherers (59.2%), slow decliners (23.8%), and rapid decliners (17.0%). The proportion of complete adherers varied across the oral DMAs (FIN: 67.1%, TER: 55.4%, and DMF: 57.4%). The negative binomial regression modeling revealed that, while there was no difference in ARR across the three DMAs, rapid decliners (adjusted incidence rate ratio[aIRR]: 1.6, 95% CI: 1.1-2.4) had a higher rate of relapses compared to completely adherent patients. The type of oral DMAs did not moderate the relationship between ARR and the adherence trajectory groups.

CONCLUSIONS

Adherence trajectories classified as rapid decliners were associated with a higher ARR than complete adherers after adjusting for their type of oral DMAs. Longitudinal medication adherence patterns are critical in reducing relapse rates in MS.

Disease-modifying therapies in managing disability worsening in paediatric-onset multiple sclerosis: a longitudinal analysis of global and national registries

BACKGROUND

High-efficacy disease-modifying therapies have been proven to slow disability accrual in adults with relapsing-remitting multiple sclerosis. However, their impact on disability worsening in paediatric-onset multiple sclerosis, particularly during the early phases, is not well understood. We evaluated how high-efficacy therapies influence transitions across five disability states, ranging from minimal disability to gait impairment and secondary progressive multiple sclerosis, in people with paediatric-onset multiple sclerosis.

METHODS

Longitudinal data were obtained from the international MSBase registry, containing data from people with multiple sclerosis from 151 centres across 41 countries, and the Italian Multiple Sclerosis and Related Disorders Register, containing data from people with multiple sclerosis from 178 Italian multiple sclerosis centres. People younger than 18 years at the onset of multiple sclerosis symptoms were included, provided they had a confirmed diagnosis of relapsing-remitting multiple sclerosis and at least four Expanded Disability Status Scale (EDSS) scores recorded within 12-month intervals. The primary outcome was the time to change in disability state: minimal disability (EDSS scores 0, 1·0, and 1·5), mild disability (EDSS scores 2·0 and 2·5), moderate disability (EDSS scores 3·0 and 3·5), gait impairment (EDSS scores ≥4·0), and clinician diagnosed secondary progressive multiple sclerosis. A multi-state model was constructed to simulate the natural course of multiple sclerosis, modelling the probabilities of both disability worsening and improvement simultaneously. The impact of high-efficacy disease-modifying therapies (alemtuzumab, cladribine, daclizumab, fingolimod, mitoxantrone, natalizumab, ocrelizumab, rituximab, or autologous haematopoietic stem cell transplantation) and low-efficacy disease-modifying therapies (dimethyl fumarate, glatiramer acetate, interferon beta, or teriflunomide), compared with no treatment, on the course of disability was assessed. Apart from recruitment, individuals with lived experience of multiple sclerosis were not involved in the design and conduct of this study.

FINDINGS

A total of 5224 people (3686 [70·6%] female and 1538 [29·4%] male) with mean age at onset of multiple sclerosis 15·24 years (SD 2·52) were included. High-efficacy therapies reduced the hazard of disability worsening across the disability states. The largest reduction (hazard ratio 0·41 [95% CI 0·31-0·53]) was observed in participants who were treated with high-efficacy therapies while in the minimal disability state, compared with those remained untreated. The benefit of high-efficacy therapies declined with increasing disability. Young people with minimal disability who received low-efficacy therapy also experienced a reduced hazard (hazard ratio 0·65 [95% CI 0·54-0·77]) of transitioning to mild disability, in contrast to those who remained untreated.

INTERPRETATION

Treatment of paediatric-onset relapsing-remitting multiple sclerosis with high-efficacy therapy substantially reduces the risk of reaching key disability milestones. This reduction in risk is most pronounced among young people with minimal or mild disability when treatment began. Children with relapsing-remitting multiple sclerosis should be treated early with high-efficacy therapy, before developing significant neurological impairments, to better preserve their neurological capacity.

FUNDING

National Health and Medical Research Council, Australia; MSBase Foundation Fellowship; MS Australia Postdoctoral Fellowship.

Treatment algorithms of relapsing multiple sclerosis: an exploration based on the available disease-modifying therapies in China

Multiple sclerosis (MS) was defined as a rare disease in China due to its low prevalence. For a long time, interferon β was the only approved disease-modifying therapy (DMT). Since the first oral DMT was approved in 2018, DMT approval accelerated, and seven DMTs were approved within 5 years. With an increasing number of DMTs being prescribed in clinical practice, it is necessary to discuss the standardized MS treatment algorithms depending on the disease activity and DMT availability. In this review paper, more than 20 Chinese experts in MS have reviewed the therapeutic progress of MS in China and worldwide and discussed algorithms for treating relapsing MS (RMS) based on the available DMTs in China, providing insights for establishing the standardized RMS treatment algorithms in this country.

Baseline serum neurofilament light chain levels differentiate aggressive from benign forms of relapsing-remitting multiple sclerosis: a 20-year follow-up cohort

BACKGROUND AND OBJECTIVES

Serum biomarkers are emerging as useful prognostic tools for multiple sclerosis (MS); however, long-term studies are lacking. We aimed to evaluate the long-term prognostic value of the serum levels of neurofilament light chain (NfL), total tau, glial fibrillary acidic protein (GFAP), and chitinase 3-like-1 (CHI3L1) measured close to the time of MS onset.

METHODS

In this retrospective, exploratory, observational, case and controls study, patients with relapsing-remitting MS (RRMS) with available baseline serum samples and prospectively follow-up in our MS unit for a long time were selected based on their clinical evolution to form two groups: (1) a benign RRMS (bRRMS) group, defined as patients with an Expanded Disability Status Scale (EDSS) score of ≤ 3 at ≥ 10 years of follow-up; (2) an aggressive RRMS (aRRMS) group, defined as patients with an EDSS score of ≥ 6 at ≤ 15 years of follow-up. An age-matched healthy control (HC) group was selected. NfL, total tau, and GFAP serum levels were quantified using a single-molecule array (SIMOA), and CHI3L1 was quantified using ELISA.

RESULTS

Thirty-one patients with bRRMS, 19 with aRRMS, and 10 HC were included. The median follow-up time from sample collection was 17.74 years (interquartile range, 14.60-20.37). Bivariate and multivariate analyses revealed significantly higher NfL and GFAP levels in the aRRMS group than in the bRRMS group. A receiver operating characteristic curve analysis identified serum NfL level as the most efficient marker for distinguishing aRRMS from bRRMS.

DISCUSSION

This proof-of-concept study comparing benign and aggressive RRMS groups reinforces the potential role of baseline NfL serum levels as a promising long-term disability prognostic marker. In contrast, serum GFAP, total tau, and CHI3L1 levels demonstrated a lower or no ability to differentiate between the long-term outcomes of RRMS.

The T1-dark-rim: A novel imaging sign for detecting smoldering inflammation in multiple sclerosis

PURPOSE

Paramagnetic rim lesions (PRLs), usually identified in susceptibility-weighted imaging (SWI), are a promising prognostic biomarker of disability progression in multiple sclerosis (MS). However, SWI is not routinely performed in clinical practice. The objective of this study is to define a novel imaging sign, the T1-dark rim, identifiable in a standard 3DT1 gradient-echo inversion-recovery sequence, such as 3D T1 turbo field echo (3DT1FE) and explore its performance as a SWI surrogate to define PRLs.

METHODS

This observational cross-sectional study analyzed MS patients who underwent 3T magnetic resonance imaging (MRI) including 3DT1TFE and SWI. Rim lesions were evaluated in 3DT1TFE, processed SWI, and SWI phase and categorized as true positive, false positive, or false negative based on the value of the T1-dark rim in predicting SWI phase PRLs. Sensitivity and positive predictive values of the T1-dark rim for detecting PRLs were calculated.

RESULTS

Overall, 80 rim lesions were identified in 63 patients (60 in the SWI phase and 78 in 3DT1TFE; 58 true positives, 20 false positives, and two false negatives). The T1-dark rim demonstrated 97% sensitivity and 74% positive predictive value for detecting PRLs. More PRLs were detected in the SWI phase than in processed SWI (60 and 57, respectively).

CONCLUSION

The T1-dark rim sign is a promising and accessible novel imaging marker to detect PRLs whose high sensitivity may enable earlier detection of chronic active lesions to guide MS treatment escalation. The relevance of T1-dark rim lesions that are negative on SWI opens up a new field for analysis.

Disease-modifying therapy initiation patterns in multiple sclerosis in three large MS populations

Background

Treatment guidelines recommend early disease-modifying therapy (DMT) initiation after diagnosis of multiple sclerosis (MS). Multinational comparative studies that assess time to DMT initiation in MS may allow detection of barriers inherent to healthcare systems to explain potential adverse systematic delays in commencing DMTs.

Objectives

To investigate and compare the time to first DMT and its association with sociodemographic and clinical variables after MS diagnosis in three large MS registries.

Design

This observational study was conducted using data from the German MS Registry (GMSR), the North American Research Committee on MS Registry (NARCOMS, US data only), and the United Kingdom MS Registry (UKMSR, both self- and clinician-reported).

Methods

Data from relapsing people with MS (PwMS), with a diagnosis of MS between 2014 and 2019, and available DMT and disability status were pooled using a meta-analytic approach.

Results

A total of 5395 PwMS were included in the analysis (GMSR: n = 2658; NARCOMS: n = 447; UKMSR: n = 2290). Kaplan-Meier estimates for the time to first DMT [median months (95% CI)] were 2.0 (1.9-2.0), 3.0 (2-4), and 9.0 (7.7-10.6) for GMSR, NARCOMS, and UKMSR, respectively. Pooled multivariable Cox regression demonstrated shorter time to first DMT for PwMS diagnosed after 2017 [1.65 (1.42-1.92), p < 0.01], and longer time to DMT when a higher-efficacy DMT was selected (0.69 (0.54-0.90), p < 0.0001].

Conclusion

Time to DMT initiation differs across the populations studied, indicating that barriers may exist in early access to DMT, particularly in the United Kingdom. However, a consistent decrease in time to DMT initiation was noted since 2017 across all registries. Further studies are warranted comparing the effects of time to DMT and time to higher-efficacy DMT on long-term outcome.

Long-term clinical outcomes in patients with multiple sclerosis who are initiating disease-modifying therapy with natalizumab compared with BRACETD first-line therapies

Background

Aggressive disease control soon after multiple sclerosis (MS) diagnosis may prevent irreversible neurological damage, and therefore early initiation of a high-efficacy disease-modifying therapy (DMT) is of clinical relevance.

Objectives

Evaluate long-term clinical outcomes in patients with MS who initiated treatment with either natalizumab or a BRACETD therapy (interferon beta, glatiramer acetate, teriflunomide, or dimethyl fumarate).

Design

This retrospective analysis utilized data from MSBase to create a matched population allowing comparison of first-line natalizumab to first-line BRACETD.

Methods

This study included patients who initiated treatment either with natalizumab or a BRACETD DMT within 1 year of MS diagnosis and continued treatment for ⩾6 months, after which patients could switch DMTs or discontinue treatment. Patients had a minimum follow-up time of ⩾60 months from initiation. A subgroup analysis compared the natalizumab group to patients in the BRACETD group who escalated therapy after 6 months. Outcomes included unadjusted annualized relapse rates (ARRs), time-to-first relapse, time-to-first confirmed disability improvement (CDI), and time-to-first confirmed disability worsening (CDW).

Results

After 1:1 propensity score matching, 355 BRACETD patients were matched to 355 natalizumab patients. Patients initiating natalizumab were less likely to experience a relapse over the duration of follow-up, with ARRs [95% confidence interval (CI)] of 0.080 (0.070-0.092) for natalizumab patients and 0.191 (0.178-0.205) for BRACETD patients (p < 0.0001). A Cox regression model of time-to-first relapse showed a reduced risk of relapse for natalizumab patients [hazard ratio (95% CI) of 0.52 (0.42-0.65); p < 0.001] and a more favorable time-to-first CDI. The risk of CDW was similar between groups. The subgroup analysis showed an increased relapse risk as well as a significantly higher risk of CDW for BRACETD patients.

Conclusion

Early initiation of natalizumab produced long-term benefits in relapse outcomes in comparison with BRACETD, regardless of a subsequent escalation in therapy.

Incidence of SARS-CoV-2 infection in patients with multiple sclerosis who received SARS-CoV-2 vaccines and are under treatment with high-efficacy therapies in Argentina

We aimed to evaluate the incidence of SARS-CoV-2 breakthrough infection of SARS-CoV-2 vaccines in people with MS (PwMS) on high-efficacy disease-modifying therapies (HET) included in the national MS registry in Argentina (RelevarEM).

METHODS

Non-interventional, retrospective cohort study that collected information directly from RelevarEM. Adult PwMS who had been treated for at least 6 months with a HET (ocrelizumab, natalizumab, alemtuzumab, cladribine) who had received at least two doses of SARS-CoV-2 vaccines available in Argentina were included. Full course of vaccination was considered after the second dose of the corresponding vaccines. Cumulative incidence of SARS-CoV-2 infection was reported for the whole cohort by Kaplan-Meier survival curves (which is expressed in percentage) as well as incidence density (which is expressed per 10.000 patients/day with 95% CI).

RESULTS

Two hundred twenty-eight PwMS were included. Most frequent first and second dose received was AstraZeneca vaccine, followed by Sputnik vaccine. Most frequent HETs used in included patients were cladribine in 79 (34.8%). We found an incidence density of breakthrough COVID-19 infection of 3.5 × 10.000 patients/day (95% CI 2.3-6.7) after vaccination in Argentina. We described the incidence rate after vaccination for every HET used, it being significantly higher for ocrelizumab compared with other HETs (p = 0.005). Only five patients presented a relapse during the follow-up period with no differences regarding the pre-vaccination period.

CONCLUSIONS

We found an incidence density of breakthrough COVID-19 infection of 3.5 × 10.000 patients/day (95% CI 2.3-6.7) after vaccination in Argentina.

Prognostic value of cerebrospinal fluid biomarkers in multiple sclerosis: The key role of kappa free light chains and a multivariate predictor for disease progression

OBJECTIVE

Multiple sclerosis (MS) is a chronic, inflammatory, demyelinating disease of the central nervous system with varying progression rates among individuals. The ability to predict disease progression is crucial for treatment decisions with disease-modifying therapies (DMTs). A few cerebrospinal fluid (CSF) biomarkers have been investigated in relation to disease progression, but few have been effectively translated into clinical practice. The aim of this study was to evaluate the diagnostic and prognostic value of known CSF markers, to compare their sensitivity and specificity, and to develop a prognostic model using a combination of markers to predict disease progression.

METHODS

This retrospective cohort study included 82 patients with a first episode of inflammatory demyelinating symptoms suggestive of MS between January 2018 and January 2021. Patients underwent diagnostic lumbar puncture and other investigations according to the multiple sclerosis (MS) protocol. They were divided into three groups according to MRI findings, relapse rate and EDSS score. CSF marker concentrations were determined by laser nephelometry and electrochemiluminescence immunoassay.

RESULTS

The results showed that the number of oligoclonal bands could discriminate the progression-free group from the other groups, but had a lower discriminatory power compared to CSF marker concentrations. Among CSF markers, FLC kappa showed the best discriminatory performance. By combining FLC kappa with gender and lesion localization information, a simple predictor of progression-free group membership was proposed. This predictor showed good sensitivity (91 %) and specificity (65 %).

CONCLUSION

In conclusion, CSF FLC kappa concentration, together with gender and lesion localization, may be a valuable predictor of disease progression in MS patients. This study highlights the potential of using CSF biomarkers for prognostic purposes and offers a simple approach to predicting disease progression.

Highly Effective Therapy Versus Escalation Approaches in Early Multiple Sclerosis: What Is the Future of Multiple Sclerosis Treatment?

Treatment options for patients newly diagnosed with multiple sclerosis (MS) are expanding with the continuous development and approval of new disease-modifying therapies (DMTs). The optimal initial treatment strategy, however, remains unclear. The 2 main treatment paradigms currently employed are the escalation (ESC) approach and the early highly effective treatment (EHT) approach. The ESC approach consists of starting a lower- or moderate-efficacy DMT, which offers a potentially safer approach, while the EHT approach favors higher-efficacy treatment early in the disease course, despite a potential increase in risk. Randomized clinical trials aiming to directly compare these approaches in newly diagnosed MS patients are currently underway.

Multiple sclerosis

Multiple sclerosis remains one of the most common causes of neurological disability in the young adult population (aged 18-40 years). Novel pathophysiological findings underline the importance of the interaction between genetics and environment. Improvements in diagnostic criteria, harmonised guidelines for MRI, and globalised treatment recommendations have led to more accurate diagnosis and an earlier start of effective immunomodulatory treatment than previously. Understanding and capturing the long prodromal multiple sclerosis period would further improve diagnostic abilities and thus treatment initiation, eventually improving long-term disease outcomes. The large portfolio of currently available medications paved the way for personalised therapeutic strategies that will balance safety and effectiveness. Incorporation of cognitive interventions, lifestyle recommendations, and management of non-neurological comorbidities could further improve quality of life and outcomes. Future challenges include the development of medications that successfully target the neurodegenerative aspect of the disease and creation of sensitive imaging and fluid biomarkers that can effectively predict and monitor disease changes.

The disease-modifying therapy utilisation and cost trend for multiple sclerosis in Australia between 2013 and 2022

BACKGROUND

The MS disease-modifying therapies (DMTs) prescribing landscape in Australia have changed over time.

OBJECTIVES

This study evaluated the utilisation and cost trends of MS-related DMTs in Australia over 10 years and investigated differences between States/Territories.

METHODS

The prescription and costs of 16 DMTs were extracted from the Pharmaceutical Benefits Scheme for 2013-2022. Descriptive approaches analysed the total number of people prescribed DMTs and total DMT costs per 10,000 population, proportions of prescriptions/costs by DMT groups and the number of people prescribed each individual DMT and costs of each DMT over the 10-year period. All estimates were for Australia and each State/Territory individually.

RESULTS

The number of people prescribed DMT and costs per 10,000 population had substantial growth between 2013 and 2022: 125%/164% for Australia, and 94%-251%/129%-373% for individual States/Territories. Higher efficacy group accounted for 54% of total people prescribed DMTs in 2013 and 75% in 2022. Fingolimod was the most popular DMT until 2020, then was dominated by ocrelizumab. The trends of individual DMT prescriptions and costs differed between states particularly in Western Australia (WA), Tasmania and Northern Territory (NT).

CONCLUSION

DMT prescriptions and costs continuously increased over the last decade, particularly for higher efficacy DMTs, and their trends differed between States/Territories.

Impact of Disease-Modifying Therapies on Gut-Brain Axis in Multiple Sclerosis

Multiple sclerosis is a chronic, autoimmune-mediated, demyelinating disease whose pathogenesis remains to be defined. In past years, in consideration of a constantly growing number of patients diagnosed with multiple sclerosis, the impacts of different environmental factors in the pathogenesis of the disease have been largely studied. Alterations in gut microbiome composition and intestinal barrier permeability have been suggested to play an essential role in the regulation of autoimmunity. Thus, increased efforts are being conducted to demonstrate the complex interplay between gut homeostasis and disease pathogenesis. Numerous results confirm that disease-modifying therapies (DMTs) used for the treatment of MS, in addition to their immunomodulatory effect, could exert an impact on the intestinal microbiota, contributing to the modulation of the immune response itself. However, to date, the direct influence of these treatments on the microbiota is still unclear. This review intends to underline the impact of DMTs on the complex system of the microbiota-gut-brain axis in patients with multiple sclerosis.

Potential of Nano-Engineered Stem Cells in the Treatment of Multiple Sclerosis: A Comprehensive Review

Multiple sclerosis (MS) is a chronic and degrading autoimmune disorder mainly targeting the central nervous system, leading to progressive neurodegeneration, demyelination, and axonal damage. Current treatment options for MS are limited in efficacy, generally linked to adverse side effects, and do not offer a cure. Stem cell therapies have emerged as a promising therapeutic strategy for MS, potentially promoting remyelination, exerting immunomodulatory effects and protecting against neurodegeneration. Therefore, this review article focussed on the potential of nano-engineering in stem cells as a therapeutic approach for MS, focusing on the synergistic effects of combining stem cell biology with nanotechnology to stimulate the proliferation of oligodendrocytes (OLs) from neural stem cells and OL precursor cells, by manipulating neural signalling pathways-PDGF, BMP, Wnt, Notch and their essential genes such as Sox, bHLH, Nkx. Here we discuss the pathophysiology of MS, the use of various types of stem cells in MS treatment and their mechanisms of action. In the context of nanotechnology, we present an overview of its applications in the medical and research field and discuss different methods and materials used to nano-engineer stem cells, including surface modification, biomaterials and scaffolds, and nanoparticle-based delivery systems. We further elaborate on nano-engineered stem cell techniques, such as nano script, nano-exosome hybrid, nano-topography and their potentials in MS. The article also highlights enhanced homing, engraftment, and survival of nano-engineered stem cells, targeted and controlled release of therapeutic agents, and immunomodulatory and tissue repair effects with their challenges and limitations. This visual illustration depicts the process of utilizing nano-engineering in stem cells and exosomes for the purpose of delivering more accurate and improved treatments for Multiple Sclerosis (MS). This approach targets specifically the creation of oligodendrocytes, the breakdown of which is the primary pathological factor in MS.

Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis

Sensitive and reliable protein biomarkers are needed to predict disease trajectory and personalize treatment strategies for multiple sclerosis (MS). Here, we use the highly sensitive proximity-extension assay combined with next-generation sequencing (Olink Explore) to quantify 1463 proteins in cerebrospinal fluid (CSF) and plasma from 143 people with early-stage MS and 43 healthy controls. With longitudinally followed discovery and replication cohorts, we identify CSF proteins that consistently predicted both short- and long-term disease progression. Lower levels of neurofilament light chain (NfL) in CSF is superior in predicting the absence of disease activity two years after sampling (replication AUC = 0.77) compared to all other tested proteins. Importantly, we also identify a combination of 11 CSF proteins (CXCL13, LTA, FCN2, ICAM3, LY9, SLAMF7, TYMP, CHI3L1, FYB1, TNFRSF1B and NfL) that predict the severity of disability worsening according to the normalized age-related MS severity score (replication AUC = 0.90). The identification of these proteins may help elucidate pathogenetic processes and might aid decisions on treatment strategies for persons with MS.

Kappa free light chains index in multiple sclerosis very long-term prognosis

Introduction

The role of the kappa-free light chain (kFLC) in the diagnosis of multiple sclerosis (MS) and, to a lesser extent, its role as a medium-term prognostic marker have been extensively studied. This study aimed to explore its potential as a long-term prognostic marker for MS.

Methods

We performed an exploratory retrospective observational study by selecting patients systemically followed up in our MS unit with available cerebrospinal fluid and serum samples at the time of initial evaluation. Two groups were defined: benign MS (bMS), defined as patients with Expanded Disability Status Scale (EDSS) ≤ 3 at 10 years of follow-up, and aggressive MS (aMS), defined as patients with EDSS ≥ 6 at 15 years of follow-up. Clinical variables were collected, and the immunoglobulin G (IgG) index, kFLC index, and oligoclonal bands (OCB) were determined for all patients and compared between the groups.

Results

Twenty bMS and 15 aMS patients were included in this study. Sixty percent (21/35) were female, and the mean age at the time of the first symptom was 31.5 ± 9.45 years, with no statistical differences between groups. Median follow-up time was 19.8 years (Interquartile range, IQR 15.9-24.6). The median EDSS scores at the last follow-up were 1.5 and 7.5 in the bMS and the aMS group, respectively. No statistically significant differences were found in the kFLC index between the two groups (136.6 vs. 140.27, p=0.59). The IgG index was positive in 62.9% of patients (55% bMS vs. 73.3% aMS, p>0.05), and OCB was positive in 88.6% (90% bMS vs. 86.7% aMS, p>0.05). A significant positive correlation was found between IgG and kFLC indices (rs = 0.85, p<0.001).

Conclusion

Given the absence of differences between the two groups with opposite disease courses, it is unlikely that the kFLC index is a reliable and powerful marker of long-term prognosis in MS.

Predictors of long-term disability in multiple sclerosis patients using routine magnetic resonance imaging data: A 15-year retrospective study

INTRODUCTION

Early identification of patients at high risk of progression could help with a personalised treatment strategy. Magnetic resonance imaging (MRI) measures have been proposed to predict long-term disability in multiple sclerosis (MS), but a reliable predictor that can be easily implemented clinically is still needed.

AIM

Assess MRI measures during the first 5 years of the MS disease course for the ability to predict progression at 10+ years.

METHODS

Eighty-two MS patients (53 females), with ≥10 years of clinical follow-up and having two MRI scans, were included. Clinical data were obtained at baseline, follow-up and at ≥10 years. White matter lesion (WML) counts and volumes, and four linear brain sizes were measured on T2/FLAIR 'Fluid-Attenuated-Inversion-Recovery' and T1-weighted images.

RESULTS

Baseline and follow-up inter-caudate diameter (ICD) and third ventricular width (TVW) measures correlated positively with Expanded Disability Status Scale, ≥10 or more of WMLs showed a high sensitivity in predicting progression, at ≥10 years. A steeper rate of lesion volume increase was observed in subjects converting to secondary progressive MS. The sensitivity and specificity of both ICD and TVW, to predict disability at ≥10 years were 60% and 64%, respectively.

CONCLUSION

Despite advances in brain imaging and computerised volumetric analysis, ICD and TVW remain relevant as they are simple, fast and have the potential in predicting long-term disability. However, in this study, despite the statistical significance of these measures, the clinical utility is still not reliable.

Real-world use of ofatumumab to treat multiple sclerosis 9 months post-FDA approval during COVID-19 pandemic

BACKGROUND

Relapsing multiple sclerosis (MS) is an inflammatory, demyelinating, neurodegenerative disease of the central nervous system that causes episodes of neurological dysfunction (relapse) alternating with variable intervals of stability. Disease-modifying therapies (DMTs) aim to reduce the rate of relapse and slow disease progression in people with MS, particularly in those with relapsing MS. Ofatumumab is a fully human anti-CD20 monoclonal antibody approved to treat patients with relapsing forms of MS. This study describes the demographics, clinical characteristics, and prior DMT use of patients with at least one ofatumumab prescription claim following approval by the United States (US) Food and Drug Administration (FDA). Understanding ofatumumab utilization patterns and patient characteristics can help define the journey of patients with MS and aid future clinical decision-making.

METHODS

This retrospective study is based on data from IQVIA's Longitudinal Prescription Data (LRx) and Medical Claims (Dx) databases in the US, collected between August 01, 2019 and May 31, 2021. The index date was defined as the date of the first ofatumumab prescription. The pre-index period was defined as the 12 months prior to the index date. Adult patients (aged ≥18 years) with a diagnosis of MS and at least one prescription for ofatumumab between August 2020 and May 2021 in the LRx database were included. Only patients with at least one medical claim in the Dx database and a diagnosis of MS 24 months prior to the index date were included. Descriptive analyses were conducted 3, 6, and 9 months after FDA approval.

RESULTS

Overall, 3,600 patients with a prescription for ofatumumab were identified in the LRx claims database, and 2,101 patients remained in the study after inclusion and exclusion criteria had been applied. At the 9-month post-approval time point, patients with ofatumumab claims were characterized as primarily female (74%) and middle-aged (median age: 48 years); two-thirds (64.7%) had a mild MS disability level. Patients were otherwise generally healthy with limited comorbid conditions. Most patients (81.7%) in the study did not experience relapse during the pre-index period. DMT-naïve patients who were prescribed ofatumumab at 3, 6, and 9 months post-approval accounted for 46.9%, 54.8%, and 58.4% of the study population, respectively. Over time, this increase in DMT-naïve ofatumumab initiators was statistically significant (p = 0.0003). Among patients who had been treated with DMTs during the previous year, most had taken them orally (50.6%), some had received them via intravenous infusion (32.2%), and some via subcutaneous/intramuscular injection (21.1%). Intravenous ocrelizumab was the most common DMT switch observed (n = 205, 23.4%) among these patients.

CONCLUSION

This real-world study is the first to describe patients treated with ofatumumab since FDA approval during the COVID-19 pandemic. The majority of patients in this study were middle-aged women with mild MS symptoms. Ofatumumab was increasingly used as a first-line DMT. Additionally, a number of patients aged ≥55 years (beyond the trial population) used ofatumumab, which may suggest expanding clinician confidence in the safety and clinical utility of ofatumumab therapy. However, future long-term observational studies are needed to confirm these results.

Safety and efficacy with alemtuzumab over 13 years in relapsing-remitting multiple sclerosis: final results from the open-label TOPAZ study

Background and objectives

Alemtuzumab demonstrated superior efficacy versus subcutaneous interferon (IFN) beta-1a in participants with relapsing-remitting multiple sclerosis in the 2-year CARE-MS I and II trials. Efficacy was maintained in the 4-year CARE-MS extension, during which alemtuzumab-treated participants ('alemtuzumab-only') could receive additional courses upon disease activity, and IFN-treated participants switched to alemtuzumab ('IFN-alemtuzumab'). Participants who completed the CARE-MS extension could enroll in the open-label TOPAZ study which assessed safety and efficacy for 5-7 years (11-13 years after alemtuzumab/IFN initiation).

Methods

Participants received additional alemtuzumab courses as needed. Assessments included adverse events (AEs; primary outcome), annualized relapse rate (ARR), 6-month confirmed disability worsening [CDW; ⩾1.0-point Expanded Disability Status Scale (EDSS) score increase or ⩾1.5 if baseline EDSS = 0], and 6-month confirmed disease improvement [CDI; >1.0-point EDSS decrease (baseline score ⩾2.0)].

Results

43.5% of alemtuzumab-only participants from CARE-MS II and 54.2% from CARE-MS I received no additional alemtuzumab courses; 30.0% and 20.9%, respectively, received one additional course (the median). Incidences of AEs, including thyroid AEs and infections, declined over time. The safety profile of alemtuzumab was similar for participants who received zero, one, or two additional courses. For CARE-MS II participants, who had inadequate response to previous treatment, ARR remained low during Years 3-13 for the alemtuzumab-only [0.17; 95% confidence interval (CI) 0.15-0.20] and IFN-alemtuzumab (0.14; 0.11-0.17) groups. At Year 11, the proportions of participants who were either free from CDW or who had CDI were higher in the alemtuzumab-only group (58% and 49%, respectively) than in the IFN-alemtuzumab group (51% and 37%). For CARE-MS I participants, who were previously treatment-naïve, clinical outcomes remained improved, and no between-group differences were apparent.

Conclusion

Safety risks associated with alemtuzumab treatment declined over time. Clinical benefits were maintained up to 11-13 years, and most participants did not require more than one additional course.

Clinicaltrialsgov identifiers

NCT00530348; NCT00548405; NCT00930553; NCT02255656.

Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis

BACKGROUND

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system that affects millions of people worldwide. The disease course varies greatly across individuals and many disease-modifying treatments with different safety and efficacy profiles have been developed recently. Prognostic models evaluated and shown to be valid in different settings have the potential to support people with MS and their physicians during the decision-making process for treatment or disease/life management, allow stratified and more precise interpretation of interventional trials, and provide insights into disease mechanisms. Many researchers have turned to prognostic models to help predict clinical outcomes in people with MS; however, to our knowledge, no widely accepted prognostic model for MS is being used in clinical practice yet.

OBJECTIVES

To identify and summarise multivariable prognostic models, and their validation studies for quantifying the risk of clinical disease progression, worsening, and activity in adults with MS.

SEARCH METHODS

We searched MEDLINE, Embase, and the Cochrane Database of Systematic Reviews from January 1996 until July 2021. We also screened the reference lists of included studies and relevant reviews, and references citing the included studies.

SELECTION CRITERIA

We included all statistically developed multivariable prognostic models aiming to predict clinical disease progression, worsening, and activity, as measured by disability, relapse, conversion to definite MS, conversion to progressive MS, or a composite of these in adult individuals with MS. We also included any studies evaluating the performance of (i.e. validating) these models. There were no restrictions based on language, data source, timing of prognostication, or timing of outcome.

DATA COLLECTION AND ANALYSIS

Pairs of review authors independently screened titles/abstracts and full texts, extracted data using a piloted form based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS), assessed risk of bias using the Prediction Model Risk Of Bias Assessment Tool (PROBAST), and assessed reporting deficiencies based on the checklist items in Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD). The characteristics of the included models and their validations are described narratively. We planned to meta-analyse the discrimination and calibration of models with at least three external validations outside the model development study but no model met this criterion. We summarised between-study heterogeneity narratively but again could not perform the planned meta-regression.

MAIN RESULTS

We included 57 studies, from which we identified 75 model developments, 15 external validations corresponding to only 12 (16%) of the models, and six author-reported validations. Only two models were externally validated multiple times. None of the identified external validations were performed by researchers independent of those that developed the model. The outcome was related to disease progression in 39 (41%), relapses in 8 (8%), conversion to definite MS in 17 (18%), and conversion to progressive MS in 27 (28%) of the 96 models or validations. The disease and treatment-related characteristics of included participants, and definitions of considered predictors and outcome, were highly heterogeneous amongst the studies. Based on the publication year, we observed an increase in the percent of participants on treatment, diversification of the diagnostic criteria used, an increase in consideration of biomarkers or treatment as predictors, and increased use of machine learning methods over time. Usability and reproducibility All identified models contained at least one predictor requiring the skills of a medical specialist for measurement or assessment. Most of the models (44; 59%) contained predictors that require specialist equipment likely to be absent from primary care or standard hospital settings. Over half (52%) of the developed models were not accompanied by model coefficients, tools, or instructions, which hinders their application, independent validation or reproduction. The data used in model developments were made publicly available or reported to be available on request only in a few studies (two and six, respectively). Risk of bias We rated all but one of the model developments or validations as having high overall risk of bias. The main reason for this was the statistical methods used for the development or evaluation of prognostic models; we rated all but two of the included model developments or validations as having high risk of bias in the analysis domain. None of the model developments that were externally validated or these models' external validations had low risk of bias. There were concerns related to applicability of the models to our research question in over one-third (38%) of the models or their validations. Reporting deficiencies Reporting was poor overall and there was no observable increase in the quality of reporting over time. The items that were unclearly reported or not reported at all for most of the included models or validations were related to sample size justification, blinding of outcome assessors, details of the full model or how to obtain predictions from it, amount of missing data, and treatments received by the participants. Reporting of preferred model performance measures of discrimination and calibration was suboptimal.

AUTHORS' CONCLUSIONS

The current evidence is not sufficient for recommending the use of any of the published prognostic prediction models for people with MS in clinical routine today due to lack of independent external validations. The MS prognostic research community should adhere to the current reporting and methodological guidelines and conduct many more state-of-the-art external validation studies for the existing or newly developed models.

Influence of physicians' risk perception on switching treatments between high- efficacy and non-high-efficacy disease‑modifying therapies in multiple sclerosis

BACKGROUND

The decision of initiating treatment for multiple sclerosis (MS) with a high-efficacy DMT (HE DMT) or non-high-efficacy DMT (non-HE DMT) is influenced by several factors, including risk perception of patients and physicians.

OBJECTIVE

Investigate the influence of physicians' risk perception on decision-making when switching treatments for MS and the reasons for switching.

METHODS

Data were drawn from the Adelphi Real-World MS Disease-Specific Program (a retrospective survey) and analysis included people with RMS identified between 2017- 2021.

RESULTS

Of 4129 patients with reasons for switch available, 3538 switched from non-HE DMT and 591 from HE DMT. Overall, 4.7% of patients were switched treatment by their physicians due to the risk of malignancies and infections including PML risk. The proportion of switches that were made due to the risk of PML were 23.9% in the HE DMT and 0.5% in the non-HE DMT groups. The top reasons for switching were relapse frequency (non-HE DMT vs HE-DMT: 26.8% vs 15.2%), lack of efficacy (20.9 vs 11.7) and increased number of MRI lesions (20.3% vs 12.4%).

CONCLUSIONS

Physicians' risk perception of malignancies and infection excluding PML was not a leading factor when switching treatment. The risk of PML was a key factor, especially for switching patients from HE DMTs. In both groups, lack of efficacy was the key contributing factor for switching. Initiating the treatment with HE DMTs may potentially reduce the number of switches due to sub-optimal efficacy. These findings might help physicians to engage more in discussions with patients about the benefit/risk profile of DMTs.

Inflammation in multiple sclerosis: consequences for remyelination and disease progression

Despite the large number of immunomodulatory or immunosuppressive treatments available to treat relapsing-remitting multiple sclerosis (MS), treatment of the progressive phase of the disease has not yet been achieved. This lack of successful treatment approaches is caused by our poor understanding of the mechanisms driving disease progression. Emerging concepts suggest that a combination of persisting focal and diffuse inflammation within the CNS and a gradual failure of compensatory mechanisms, including remyelination, result in disease progression. Therefore, promotion of remyelination presents a promising intervention approach. However, despite our increasing knowledge regarding the cellular and molecular mechanisms regulating remyelination in animal models, therapeutic increases in remyelination remain an unmet need in MS, which suggests that mechanisms of remyelination and remyelination failure differ fundamentally between humans and demyelinating animal models. New and emerging technologies now allow us to investigate the cellular and molecular mechanisms underlying remyelination failure in human tissue samples in an unprecedented way. The aim of this Review is to summarize our current knowledge regarding mechanisms of remyelination and remyelination failure in MS and in animal models of the disease, identify open questions, challenge existing concepts, and discuss strategies to overcome the translational roadblock in the field of remyelination-promoting therapies.

The benefits and risks of escalation versus early highly effective treatment in patients with multiple sclerosis

INTRODUCTION

Multiple sclerosis is a chronic, demyelinating, inflammatory, and neurodegenerative disease of the central nervous system that affects over 2 million people worldwide. Considerable advances have been made in the availability of disease modifying therapies for relapsing-remitting multiple sclerosis since their introduction in the 1990s. This has led to debate regarding the optimal first-line treatment approach: a strategy of escalation versus early highly effective treatment.

AREAS COVERED

This review defines the strategies of escalation and early highly effective treatment, outlines the pros and cons of each, and provides an analysis of both the current literature and expected future directions of the field.

EXPERT OPINION

There is growing support for using early highly effective treatment as the initial therapeutic approach in relapsing-remitting multiple sclerosis. However, much of this support stems from observational real-world studies that use historic data and lack safety outcomes or randomized control trials that compare individual high versus low-moderate efficacy therapies, instead of the approaches themselves. Randomized control trials (DELIVER-MS, TREAT-MS) are needed to systemically and prospectively compare contemporary escalation versus early highly effective treatment approaches.

Kappa free light chain and neurofilament light independently predict early multiple sclerosis disease activity-a cohort study

BACKGROUND

Inter-individual courses of multiple sclerosis (MS) are extremely variable. The objective of this study was to investigate whether κ-free light chain (κ-FLC) index and serum neurofilament light (sNfL) have an additive predictive value for MS disease activity.

METHODS

Patients with early MS who had cerebrospinal fluid (CSF) and serum sampling at disease onset were followed for four years. At baseline, age, sex, disease duration, number of T2-hyperintense (T2L), and contrast-enhancing T1 lesions (CEL) on MRI were determined. During follow-up, the occurrence of a second clinical attack and start of disease-modifying treatment (DMT) were registered. κ-FLC was measured by nephelometry, and κ-FLC index calculated as [CSF κ-FLC/serum κ-FLC]/albumin quotient. sNfL was determined by single-molecule array, and age- and body-mass-index adjusted Z scores were calculated.

FINDINGS

A total of 86 patients at a mean age of 33 ± 10 years and with a female predominance of 67% were included; 36 (42%) patients experienced a second clinical attack during follow-up. Cox regression analysis adjusted for age, sex, T2L, CEL, disease and follow-up duration, and DMT use during follow-up revealed that both κ-FLC index as well as sNfL Z score independently predict time to second clinical attack. The chance for freedom of relapse within 12 months was 2% in patients with high levels of κ-FLC index (>100) and high sNfL Z score (>3), 30% in patients with high κ-FLC index (>100) and lower sNfL Z score (≤3), 70% in patients with lower κ-FLC index (≤100) but high sNfL Z score (>3), and 90% in patients with lower levels of κ-FLC index (≤100) and sNfL Z score (≤3).

INTERPRETATION

κ-FLC index and sNfL Z score have an additive predictive value for early MS disease activity that is independent of known predictors.

FUNDING

This study was funded by a grant of the charitable foundation of the Austrian Multiple Sclerosis Society.

Does the inclusion of societal costs change the economic evaluations recommendations? A systematic review for multiple sclerosis disease

BACKGROUND

Multiple sclerosis imposes a heavy burden on the person who suffers from it and on the relatives, due to the caregiving load involved. The objective was to analyse whether the inclusion of social costs in economic evaluations of multiple sclerosis-related interventions changed results and/or conclusions.

METHODS

A systematic review was launched using Medline and the Cost-Effectiveness Analysis Registry of Tufts University (2000-2019). Included studies should: (1) be an original study published in a scientific journal, (2) be an economic evaluation of any multiple sclerosis-related intervention, (3) include productivity losses and/or informal care costs (social costs), (4) be written in English, (5) use quality-adjusted life years as outcome, and (6) separate the results according to the perspective applied.

RESULTS

Twenty-nine articles were selected, resulting in 67 economic evaluation estimations. Social costs were included in 47% of the studies. Productivity losses were assessed in 90% of the estimations (the human capital approach was the most frequently used method), whereas informal care costs were included in nearly two-thirds of the estimations (applying the opportunity and the replacement-cost methods equally). The inclusion of social costs modified the figures for incremental costs in 15 estimations, leading to a change in the conclusions in 10 estimations, 6 of them changing from not recommended from the healthcare perspective to implemented from the societal perspective. The inclusion of social costs also altered the results from cost-effective to dominant in five additional estimations.

CONCLUSIONS

The inclusion of social costs affected the results/conclusions in multiple sclerosis-related interventions, helping to identify the most appropriate interventions for reducing its economic burden from a broader perspective.

Recent Progress in the Identification of Early Transition Biomarkers from Relapsing-Remitting to Progressive Multiple Sclerosis

Despite extensive research into the pathophysiology of multiple sclerosis (MS) and recent developments in potent disease-modifying therapies (DMTs), two-thirds of relapsing-remitting MS patients transition to progressive MS (PMS). The main pathogenic mechanism in PMS is represented not by inflammation but by neurodegeneration, which leads to irreversible neurological disability. For this reason, this transition represents a critical factor for the long-term prognosis. Currently, the diagnosis of PMS can only be established retrospectively based on the progressive worsening of the disability over a period of at least 6 months. In some cases, the diagnosis of PMS is delayed for up to 3 years. With the approval of highly effective DMTs, some with proven effects on neurodegeneration, there is an urgent need for reliable biomarkers to identify this transition phase early and to select patients at a high risk of conversion to PMS. The purpose of this review is to discuss the progress made in the last decade in an attempt to find such a biomarker in the molecular field (serum and cerebrospinal fluid) between the magnetic resonance imaging parameters and optical coherence tomography measures.

Risk Factors for Multiple Sclerosis Development After Optic Neuritis Diagnosis Using a Nationwide Health Records Database

Multiple sclerosis (MS) is an autoimmune demyelinating disease that often initially presents with optic neuritis (ON). Little is known about the demographic factors and familial histories that may be associated with the development of MS after a diagnosis of ON. We utilised a nationwide database to characterise specific potential drivers of MS following ON as well as analyse barriers to healthcare access and utilisation. The All of Us database was queried for all patients who were diagnosed with ON and for all patients diagnosed with MS after an initial diagnosis of ON. Demographic factors, family histories, and survey data were analysed. Multivariable logistic regression was performed to analyse the potential association between these variables of interest with the development of MS following a diagnosis of ON. Out of 369,297 self-enrolled patients, 1,152 were identified to have a diagnosis of ON, while 152 of these patients were diagnosed with MS after ON. ON patients with a family history of obesity were more likely to develop MS (obesity odd ratio: 2.46; p < .01). Over 60% of racial minority ON patients reported concern about affording healthcare compared with 45% of White ON patients (p < .01). We have identified a possible risk factor of developing MS after an initial diagnosis of ON as well as alarming discrepancies in healthcare access and utilisation for minority patients. These findings bring attention to clinical and socioeconomic risk factors for patients that could enable earlier diagnosis and treatment of MS to improve outcomes, particularly in racial minorities.

Paradigm shifts in multiple sclerosis management: Implications for daily clinical practice

Multiple sclerosis (MS) is the most common chronic inflammatory neurological disease. The emergence of disease-modifying therapies (DMTs) has greatly improved disease activity control and progression of disability in MS patients. DMTs differ in their mode of action, route of administration, efficacy, and safety profiles, offering multiple options for clinicians. Personalized medicine aims at tailoring the therapeutic strategy to patients' characteristics and disease activity but also patients' needs and preferences. New therapeutic options have already changed treatment paradigms for patients with active relapsing MS (RMS). The traditional approach consists in initiating treatment with moderate-efficacy DMTs and subsequently, escalating to higher-efficacy DMTs when there is evidence of clinical and/or radiological breakthrough activity. Recent real-world studies suggest that initiation of high-efficacy DMTs from disease onset can improve long-term outcomes for RMS patients. In this article, we review different treatment strategies and discuss challenges associated with personalized therapy.

Expansion of regulatory T cells by CD28 superagonistic antibodies attenuates neurodegeneration in A53T-α-synuclein Parkinson's disease mice

BACKGROUND

Regulatory CD4⁺CD25⁺FoxP3⁺ T cells (Treg) are a subgroup of T lymphocytes involved in maintaining immune balance. Disturbance of Treg number and impaired suppressive function of Treg correlate with Parkinson's disease severity. Superagonistic anti-CD28 monoclonal antibodies (CD28SA) activate Treg and cause their expansion to create an anti-inflammatory environment.

METHODS

Using the AAV1/2-A53T-α-synuclein Parkinson's disease mouse model that overexpresses the pathogenic human A53T-α-synuclein (hαSyn) variant in dopaminergic neurons of the substantia nigra, we assessed the neuroprotective and disease-modifying efficacy of a single intraperitoneal dose of CD28SA given at an early disease stage.

RESULTS

CD28SA led to Treg expansion 3 days after delivery in hαSyn Parkinson's disease mice. At this timepoint, an early pro-inflammation was observed in vehicle-treated hαSyn Parkinson's disease mice with elevated percentages of CD8⁺CD69⁺ T cells in brain and increased levels of interleukin-2 (IL-2) in the cervical lymph nodes and spleen. These immune responses were suppressed in CD28SA-treated hαSyn Parkinson's disease mice. Early treatment with CD28SA attenuated dopaminergic neurodegeneration in the SN of hαSyn Parkinson's disease mice accompanied with reduced brain numbers of activated CD4⁺, CD8⁺ T cells and CD11b⁺ microglia observed at the late disease-stage 10 weeks after AAV injection. In contrast, a later treatment 4 weeks after AAV delivery failed to reduce dopaminergic neurodegeneration.

CONCLUSIONS

Our data indicate that immune modulation by Treg expansion at a timepoint of overt inflammation is effective for treatment of hαSyn Parkinson's disease mice and suggest that the concept of early immune therapy could pose a disease-modifying option for Parkinson's disease patients.

Benefits of early treatment with natalizumab: a real-world study

BACKGROUND

The impact of early versus later high-efficacy disease-modifying therapy (DMT) in patients with multiple sclerosis (MS) is uncertain. This study reported the association of early versus later natalizumab treatment with real-world clinical outcomes in MS patients.

METHODS

The study included 661 participants diagnosed with MS in 1994 or later from 7 US centers participating in the MS Partners Advancing Technology for Health Solutions (MS PATHS) network. Time to natalizumab treatment between diagnosis and first infusion (TTNT) was determined from the Tysabri Outreach: Unified Commitment to Health (TOUCH) registry. Clinical outcomes were defined using neuroperformance tests included in the Multiple Sclerosis Performance Test. Associations were tested using TTNT as a categorical and continuous variable. Linear mixed models addressed within-subject and within-site clustering.

RESULTS

TTNT varied from 0.1 to 19.8 years (median [interquartile range] 4.2 [1.8, 9.0] years). A significant association between later natalizumab use and worse outcomes was demonstrated for walking speed (p < 0.001), processing speed (p < 0.001), manual dexterity (p < 0.001), brain atrophy (p = 0.001), and T2 lesion volume (p = 0.02). Covariate-adjusted modelling of a sensitivity population diagnosed with MS in 2006 or later (n = 424) demonstrated significant associations between longer TTNT and worse walking speed (p < 0.05), processing speed (p < 0.001), and manual dexterity (p < 0.001).

CONCLUSION

Later initiation of natalizumab was associated with worse clinical and radiologic imaging outcomes. Thus, high-efficacy DMT may have greater benefit when started earlier in MS patients. These results provide a rationale for randomized controlled trials to further assess the impact of early highly-effective DMT use versus later escalation of therapy.

Delayed cognitive processing and treatment status quo bias in early-stage multiple sclerosis

BACKGROUND

The evolving therapeutic landscape requires more participation of patients with relapsing remitting multiple sclerosis (RRMS) in treatment decisions. The aim of this study was to assess the association between patient's self-perception, cognitive impairment and behavioral factors in treatment choices in a cohort of patients at an early stage of RRMS.

METHODS

We conducted a multicenter, non-interventional study including adult patients with a diagnosis of RRMS, a disease duration ≤18 months and receiving care at one of the 21 participating MS centers from across Spain. We used patient-reported measures to gather information on fatigue, mood, quality of life, and perception of severity of their MS. Functional metrics (Expanded Disability Status Scale [EDSS], cognitive function by the Symbol Digit Modalities Test [SDMT], 25-foot walk test) and clinical and radiological data were provided by the treating neurologist. The primary outcome of the study was status quo (SQ) bias, defined as participant's tendency to continue taking a previously selected but inferior treatment when intensification was warranted. SQ bias was assessed based on participants treatment preference in six simulated RRMS case scenarios with evidence of clinical relapses and radiological disease progression.

RESULTS

Of 189 participants who met the inclusion criteria, 188 (99.5%) fully completed the study. The mean age was 36.6 ± 9.5 years, 70.7% female, mean disease duration: 1.2 ± 0.8 years, median EDSS score: 1.0 [IQR=0.0-2.0]). Overall, 43.1% patients (n = 81/188) had an abnormal SDMT (≤49 correct answers). SQ bias was observed in at least one case scenario in 72.3% (137/188). Participant's perception of their MS severity was associated with higher SQ bias (β coeff 0.042; 95% CI 0.0074-0.076) among those with delayed cognitive processing. Higher baseline EDSS and number of T2 lesions were predictors of delayed processing speed (OR EDSS=1.57, 95% CI: 1.11-2.21, p = 0.011; OR T2 lesions=1.50, 95% CI: 1.11-2.03, p<0.01). Bayesian multilevel model accounting for clustering showed that delayed cognitive processing (exp coeff 1.06; 95% CI 1.04-1.09) and MS symptoms severity (exp coeff 1.28; 95% CI 1.22-1.33) were associated with SQ bias.

CONCLUSION

Over 40% of patients in earlier stages of RRMS experience delays in cognitive processing that might affect their decision-making ability. Our findings suggest that patients' self-perception of disease severity combined with a delay in cognitive processing would affect treatment choices leading to status quo bias early in the course of their disease.

Quality of life in people with multiple sclerosis receiving glatiramer acetate or interferon in Greek clinical practice

Aim: To evaluate glatiramer acetate (GA) or IFN-β effects on quality of life (QoL) in people with relapsing/remitting multiple sclerosis (PwRRMS) in Greece. Methods: A prospective, practice-based study. QoL/function/symptoms were assessed by seven questionnaires/scales. Results: Significant increases in Short Form-36 (SF-36) health survey scores occurred with GA in four of the eight domains and three of the eight domains at 6 and 12 months, respectively, versus baseline. Similar and significant SF-36 score improvements occurred with GA in treatment-naive PwRRMS. SF-36 scores were unaffected in GA-treated, IFN-β treatment-experienced PwRRMS, or with IFN-β versus baseline. Slight improvements in fatigue and sexual satisfaction were evident (6 months). No deteriorations were seen in the other four instruments. Conclusion: The findings show that 12-month treatment with GA, but not IFN-β, improved certain QoL parameters in treatment-naive PwRRMS.

Early predictors of disability in paediatric multiple sclerosis: evidence from a multi-national registry

BACKGROUND

Early recognition of markers of faster disability worsening in paediatric-onset multiple sclerosis (MS) is a key requisite of personalised therapy for children with MS at the earliest possible time.

OBJECTIVE

To identify early predictors of rapid disability accrual in patients with paediatric-onset MS.

METHODS

Using the global MSBase registry, we identified patients who were <18 years old at the onset of MS symptoms. The clinico-demographic characteristics examined as predictors of future MS Severity Score (MSSS) included sex, age at symptom onset, absence of disability at the initial assessment, maximum Expanded Disability Status Scale (EDSS) score, relapse frequency and presence of brainstem, pyramidal, visual or cerebellar symptoms in the first year. A Bayesian log-normal generalised linear mixed model adjusted for cumulative proportion of time on higher-efficacy disease-modifying therapies (DMTs) was used to analyse the data.

RESULTS

672 patients (70% female) contributing 9357 visits were included. The median age at symptom onset was 16 (quartiles 15-17) years. Older age at symptom onset (exp(β)=1.10 (95% CI 1.04 to 1.17)), higher EDSS score (1.22 (1.12 to 1.34)) and pyramidal (1.31 (1.11 to 1.55)), visual (1.25 (1.10 to 1.44)) or cerebellar (1.18 (1.01 to 1.38)) symptoms in the first year were associated with higher MSSS. MSSS was reduced by 4% for every 24% increase in the proportion of time on higher-efficacy DMTs (0.96 (0.93 to 0.99)).

CONCLUSIONS

A relatively later onset of MS in childhood, higher disability and pyramidal, visual or cerebellar symptoms during the first year predicted significant worsening in disability in patients with paediatric-onset MS. Persistent treatment with higher-efficacy DMTs was associated with a reduced rate of disability worsening.

Longitudinal clinical study of patients with iron rim lesions in multiple sclerosis

Background:

Iron rims (IRs) surrounding white matter lesions (WMLs) are suggested to predict a more severe disease course. Only small longitudinal cohorts of patients with and without iron rim lesions (IRLs) have been reported so far.

Objective:

To assess whether the presence and number of IRLs in patients with clinically isolated syndrome (CIS) and multiple sclerosis (MS) are associated with long-term disability or progressive disease.

Methods:

Ninety-one CIS/MS patients were recruited between 2008 and 2013 and scanned with 7 T magnetic resonance imaging (MRI). Expanded Disability Status Scale (EDSS) was used to calculate Age-related Multiple Sclerosis Severity Score (ARMSS) at the time of scan and at the latest clinical follow-up after 9 years. WMLs were assessed for the presence of IRL using Susceptibility weighted imaging (SWI)-filtered phase images.

Results:

In all, 132 IRLs were detected in 42 patients (46%); 9% of WMLs had IRs; 54% of the cohort had no rims, 30% had 1–3 rims and 16% had ⩾4. Patients with IRL had a higher EDSS and ARMSS. Presence of IRL was also a predictor of long-term disability, especially in patients with ⩾4 IRLs. IRLs have a greater impact on disability compared to the WML number and volume.

Conclusion:

The presence and number of perilesional IR on MRI hold prognostic value for long-term clinical disability in MS.

Treatment of Multiple Sclerosis

PURPOSE OF REVIEW

Given the expansion of options for the treatment of relapsing multiple sclerosis, this review outlines the framework for developing a treatment strategy, with consideration of when to switch or discontinue therapies, and a comprehensive elaboration of the mechanisms of action, efficacy, and safety considerations for each of the therapeutic classes.

RECENT FINDINGS

The armamentarium of immunotherapies has grown rapidly, to encompass 19 US Food and Drug Administration (FDA)-approved immunotherapies available in 2021, which are addressed in the review. The coronavirus pandemic that began in 2020 underscored existing concerns regarding vaccine efficacy in those treated with immune-suppressing immunotherapies, which are also addressed here.

SUMMARY

By choosing a treatment strategy before exploring the individual medications, patients and providers can focus their efforts on a subset of the therapeutic options. Although the mechanisms of action, routes of administration, efficacy, safety, and tolerability of the described agents and classes differ, all are effective in reducing relapse frequency in multiple sclerosis (MS), with most also showing a reduction in the accumulation of neurologic disability. These powerful effects are improving the lives of people with MS. Pharmacovigilance is critical for the safe use of these immune-modulating and -suppressing agents, and vaccine efficacy may be reduced by those with immune-suppressing effects.

Interrogating large multiple sclerosis registries and databases: what information can be gained?

PURPOSE OF REVIEW

Although substantial progress has been made in understanding the natural history of multiple sclerosis (MS) and the development of new therapies, many questions concerning disease behavior and therapeutics remain to be answered. Data generated from real-world observational studies, based on large MS registries and databases and analyzed with advanced statistical methods, are offering the scientific community answers to some of these questions that are otherwise difficult or impossible to address. This review focuses on observational studies published in the last 2 years designed to compare the effectiveness of escalation vs. induction treatment strategies, to assess the effectiveness of treatment in pediatric-onset and late-onset MS, and to identify the clinical phenotype of secondary progressive (SP)MS.

RECENT FINDINGS

The main findings originating from real-world studies suggest that MS patients who will qualify for high-efficacy disease-modifying therapies (DMTs) should be offered these as early as possible to prevent irreversible accumulation of neurological disability. Especially pediatric patients derive substantial benefits from early treatment. In patients with late-onset MS, sustained exposure to DMTs may result in more favorable outcomes. Data-driven definitions are more accurate in defining transition to SPMS than diagnosis based solely on neurologists' judgment.

SUMMARY

Patients, physicians, industry, and policy-makers have all benefited from real-world evidence based on registry data, in answering questions of diagnostics, choice of treatment, and timing of treatment decisions.

How to choose initial treatment in multiple sclerosis patients: a case-based approach

BACKGROUND

Immunotherapy dramatically changed the natural history of multiple sclerosis (MS), which was classically associated with severe disability. Treatment strategies advocate that early control of disease activity is crucial to avoid progressive disability, and the use of high efficacy drugs may be beneficial, but safety is a concern. Choosing the disease-modifying therapy is challenging in clinical practice and should be further discussed.

OBJECTIVE

To discuss the state of art of selecting the initial therapy for relapsing MS patients.

METHODS

We used a case-based approach followed by clinical discussion, exploring therapeutic options in different MS settings.

RESULTS

We presented clinical cases profile compatible with the use of MS therapies, classified into moderate and high efficacy. In the moderate efficacy group, we discussed interferons, glatiramer acetate, teriflunomide and dimethyl fumarate, while in the high efficacy group we discussed fingolimod, cladribine, natalizumab, ocrelizumab, alemtuzumab and ofatumumab.

CONCLUSION

Advances in MS treatment are remarkable. Strong evidence supports the use of early high efficacy therapy. However, biomarkers, clinical and radiologic prognostic factors, as well as patients' individual issues, should be valued and considered for a personalized treatment decision.

Ponesimod in the Treatment of Relapsing Forms of Multiple Sclerosis: An Update on the Emerging Clinical Data

Sphingosine 1-phosphate (S1P) receptors are bioactive lipid metabolites that bind five different types of receptors expressed ubiquitously in human body and mediate a broad range of biological functions. Targeting S1P receptors is nowadays a well-established pharmacological strategy to treat multiple sclerosis (MS). However, the adverse events associated with the ancestor (fingolimod), especially in terms of heart conduction and slow reversibility of its pharmacodynamics effect on lymphocytes, have stimulated a search for a S1P modulator with greater selectivity for S1P₁ (the most important immune mechanism to prevent MS-related neuroinflammation). Ponesimod is a second-generation, orally active, directly bioavailable, highly selective, and rapidly reversible modulator of the S1P₁ receptor. Gradual 14-day up-titration of ponesimod mitigates its first-dose effects on heart rate and facilitates its use over fingolimod, as it does not require first-dose cardiac monitoring. Ponesimod is rapidly eliminated within 1 week of discontinuation, thereby representing a more manageable approach in case of vaccination, pregnancy, or adverse events. However, the fast reversibility of ponesimod may also raise concerns about the possibility of a rapid reactivation of disease activity following its discontinuation. Ponesimod was recently approved for the treatment of relapsing MS forms on the basis of a Phase III, double-blind, double-dummy, randomized clinical trial (OPTIMUM) that demonstrated the superiority of ponesimod over teriflunomide on disease activity markers, without unexpected safety concerns. This review summarizes the pharmacodynamic and pharmacokinetic characteristics of ponesimod, and the main Phase II and III studies that led to its approval. Comparisons of ponesimod with other S1P receptor modulators currently available for MS (fingolimod, ozanimod, siponimod) are also provided.

Cerebrospinal fluid kappa free light chains as biomarker in multiple sclerosis—from diagnosis to prediction of disease activity

Multiple sclerosis (MS) is a chronic immune-mediated disorder of the central nervous system that shows a high interindividual heterogeneity, which frequently poses challenges regarding diagnosis and prediction of disease activity. In this context, evidence of intrathecal inflammation provides an important information and might be captured by kappa free light chains (κ-FLC) in the cerebrospinal fluid (CSF). In this review, we provide an overview on what is currently known about κ‑FLC, its historical development, the available assays and current evidence on its diagnostic and prognostic value in MS. Briefly, intrathecal κ‑FLC synthesis reaches similar diagnostic accuracy compared to the well-established CSF-restricted oligoclonal bands (OCB) to identify patients with MS, and recent studies even depict its value for prediction of early MS disease activity. Furthermore, detection of κ‑FLC has significant methodological advantages in comparison to OCB detection.

The need for a strategic therapeutic approach: multiple sclerosis in check

Multiple sclerosis (MS) is the most common chronic autoimmune neurological disease. Its therapeutic management has drastically evolved in the recent years with the development of specific disease-modifying therapies (DMTs). Together with the established injectables, oral and intravenous alternatives are now available for MS patients with significant benefits to modulate the disease course. Certain drugs present with a higher efficacy than the others, profiles and frequencies of adverse events differentiate as well. Thus due to the several and different treatment alternatives, the therapeutic approach adopted by neurologists requires a tactical focus for a targeted, timed, and meaningful treatment decision. An integration of rational and emotional control with proper communication skills is necessary for shared decision-making with patients. In this perspective paper, we reinforce the necessary concept of strategic MS treatment approach using all available therapies based on scientific evidence and current experience. We apply a didactic analogy to the strategic game chess. The opening with oriented attack (i.e. already in early disease stages as clinical isolated syndrome), a correct choice of chess pieces to move (i.e. among the several DMTs), a re-assessment reaction to different scenarios (e.g. sustained disease activity, adverse events, and family planning) and the advantage of real-world data are discussed to try the best approach to ultimately successfully approach the best personalized MS treatment.

Effect of desire for pregnancy on decisions to escalate treatment in multiple sclerosis care: Differences between MS specialists and non-MS specialists

BACKGROUND

Therapeutic inertia (TI) is a worldwide phenomenon that affects 60 to 90% of neurologists and up to 25% of daily treatment decisions during management of multiple sclerosis (MS) patients. A large volume of MS patients are women of childbearing age, and desire for pregnancy is a complex variable often affecting MS care. The objective of this study was to determine the effect of desire for pregnancy on decisions to escalate treatment during management of MS patients.

METHODS

300 neurologists with expertise in MS from 20 countries were invited to participate in the study. Participants were presented with 12 pairs of simulated MS patient profiles reflective of case scenarios encountered in clinical practice. Participants were asked to select the ideal candidate for treatment escalation from modest to higher-efficacy therapies. Disaggregated discrete choice experiments were used to estimate the weight of factors and attributes affecting physicians' decisions when considering treatment selection. An excel calculator that provides estimates as the percentage of participants that would escalate treatment for a simulated case-scenario was constructed.

RESULTS

229 (76.3%) completed the study. The mean age (SD) of study participants was 44 (±10) years. The mean (SD) number of MS patients seen per month by each neurologist was 18 (±16). Non-MS specialists were significantly less likely to escalate treatment than MS specialists across mild, moderate, and severe patient cases. These differences were accentuated when case scenarios introduced a desire for pregnancy. The findings were consistent when MRI-lesions, severity of symptoms, and number of relapses were included.

CONCLUSIONS

Desire for pregnancy differentially influences decisions to escalate treatment, suggesting knowledge-to-action gaps between MS and non-MS specialists. Our findings indicate the need for educational strategies to overcome these gaps and improve clinical outcomes for MS patients who desire pregnancy.

Experiences in treatment of multiple sclerosis with natalizumab from a real-life cohort over 15 years

Natalizumab (NTZ) has been used for treatment of highly active relapsing–remitting multiple sclerosis (MS). When stopping NTZ the risk of severe rebound phenomenon has to be considered. We aimed to investigate the use of NTZ in clinical routine and focused on identification of potential risk factors for disease reactivation after treatment discontinuation. At the Medical University of Innsbruck, Austria, we identified all MS patients who were treated with NTZ and performed a retrospective analysis on therapeutic decision making, disease course before, during and after treatment with NTZ and on risk factors for disease reactivation after NTZ discontinuation. 235 NTZ treated MS patients were included, of whom 105 had discontinued treatment. At NTZ start disease duration was 5.09 (IQR 2.09–10.57) years, average number of total relapses was 4 (IQR 3–6) and median EDSS 2.0 (range 0–6.5), whereby these values significantly decreased over time. Reduction of annualized relapse rate (ARR) on treatment was 93% and EDSS remained stable in 64%. In multivariate regression models only conversion to secondary progressive MS (SPMS) on treatment was significantly associated with lower risk of disease reactivation after NTZ, while ARR before treatment was associated with earlier disease reactivation. We could confirm the high therapeutic efficacy of NTZ which trends to be used earlier in the disease course nowadays. Discontinuation of NTZ seems safe only in patients who convert to SPMS during treatment, while higher ARR before NTZ increases the risk of disease reactivation after treatment discontinuation.

Efficacy and safety of ocrelizumab in patients with relapsing-remitting multiple sclerosis with suboptimal response to prior disease-modifying therapies: A primary analysis from the phase 3b CASTING single-arm, open-label trial

BACKGROUND AND PURPOSE

Using the treatment goal of "no evidence of disease activity" (NEDA) incorporating magnetic resonance imaging (MRI) re-baselining, we aimed to assess the efficacy of ocrelizumab in patients with relapsing-remitting multiple sclerosis with a prior suboptimal response, defined by MRI or relapse criteria, to one or two disease-modifying therapies (DMTs).

METHODS

CASTING was a prospective, international, multicenter, single-arm, open-label phase 3 trial (NCT02861014). Patients (Expanded Disability Status Scale [EDSS] score ≤ 4.0, with discontinued prior DMT of ≥6 months duration due to suboptimal disease control) received intravenous ocrelizumab 600 mg every 24 weeks for 96 weeks. The primary endpoint was NEDA (defined as absence of relapses, disability progression, and inflammatory MRI measures, with prespecified MRI re-baselining at Week 8) over 96 weeks.

RESULTS

A total of 680 patients were enrolled, 167 (24.6%) based on MRI activity only. At Week 96, 74.8% (95% confidence interval [CI] 71.3-78.0, n/N = 492/658) of patients had NEDA. NEDA was highest among patients enrolled due to MRI activity alone (80.6% [95% CI 68.6-89.6], n/N = 50/62) versus those enrolled for relapse (75.1% [95% CI 69.0-80.6], n/N = 172/229) or for relapse with MRI (70.5% [95% CI 60.0-79.0], n/N = 74/105). NEDA across subgroups was highest in patients with a baseline EDSS score <2.5 (77.2% [95% CI 72.8-81.2], n/N = 315/408). NEDA was higher in patients receiving one prior DMT (77.6% [95% CI 73.2-81.6], n/N = 312/402) versus two prior DMTs (70.3% [95% CI 64.3-75.8], n/N = 180/256).

CONCLUSIONS

In patients switching therapy due to suboptimal disease control, treatment with ocrelizumab led to an overall high NEDA rate across a wide range of disease-related and demographic subgroups, regardless of prior treatment background, with no new safety signals detected.

Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overreliance on MRI findings a major cause of MS misdiagnosis. The central vein sign (CVS), a proposed MRI biomarker for MS lesions, has been extensively studied in numerous cross sectional studies and may increase diagnostic specificity for MS. CVS has desirable analytical, measurement, and scalability properties. "Central Vein Sign: A Diagnostic Biomarker in Multiple Sclerosis (CAVS-MS)" is an NIH-supported, 2-year, prospective, international, multicenter study conducted by the North American Imaging in MS Cooperative (NAIMS) to evaluate CVS as a diagnostic biomarker for immediate translation into clinical care. Study objectives include determining the concordance of CVS and McDonald Criteria to diagnose MS, the sensitivity of CVS to detect MS in those with typical presentations, and the specificity of CVS among those with atypical presentations. The study will recruit a total of 400 participants (200 with typical and 200 with atypical presentations) across 11 sites. T2*-weighted, high-isotropic-resolution, segmented echo-planar MRI will be acquired at baseline and 24 months on 3-tesla scanners, and FLAIR* images (combination of FLAIR and T2*) will be generated for evaluating CVS. Data will be processed on a cloud-based platform that contains clinical and CVS rating modules. Imaging quality control will be conducted by automated methods and neuroradiologist review. CVS will be determined by Select6* and Select3* lesion methods following published criteria at each site and by central readers, including neurologists and neuroradiologists. Automated CVS detection and algorithms for incorporation of CVS into McDonald Criteria will be tested. Diagnosis will be adjudicated by three neurologists who served on the 2017 International Panel on the Diagnosis of MS. The CAVS-MS study aims to definitively establish CVS as a diagnostic biomarker that can be applied broadly to individuals presenting for evaluation of the diagnosis of MS.

[Immunotherapy and personalized treatment of multiple sclerosis]

Personalized medicine requires a patient-oriented approach with the exact classification of the disease being determined by the underlying pathophysiological processes. In particular, the optimal treatment of multiple sclerosis (MS) requires personalized treatment that goes beyond the pure concept of precision medicine; however, due to the lack of robust biomarkers beyond cranial magnetic resonance imaging and a lacking detailed understanding of some aspects of MS pathogenesis, this approach is not yet fully implemented. Important questions for a better therapeutic stratification of MS patients are: (1) when does MS start? (2) Does the spectrum of MS really span multiple diseases? (3) When does the progressive phase of the disease begin? (4) In which phase of the disease is there a therapeutic window for immunotherapy? Recent findings indicate that MS represents a spectrum of diseases and that there is a therapeutic delay of several years, on which the optimal treatment effect of a disease-modifying treatment depends. For a personalized treatment of MS it is important to determine the exact disease stage of the patient and to react to the development or increase of focal inflammatory activity in a timely manner.