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Background: Multiple sclerosis patients experience 3–6 times more seizures than the general population, but observations vary among studies. Seizure risk in disease-modifying therapy recipients remains unknown. Objective: The objective of this study was to compare seizure risk in multiple sclerosis patients receiving disease-modifying therapy versus placebo. Methods: MEDLINE(OVID), Embase, CINAHL, and ClinicalTrials.gov were searched from database inception until August 2021. Phase 2–3 randomized, placebo-controlled trials reporting efficacy and safety data for disease-modifying therapies were included. Network meta-analysis followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, using Bayesian random effects model for individual and pooled (by drug target) therapies. Main outcome was loge seizure risk ratios [95% credible intervals]. Sensitivity analysis included meta-analysis of non-zero-event studies. Results: A total of 1993 citations and 331 full-texts were screened. Fifty-six included studies (29,388 patients—disease-modifying therapy = 18,909; placebo = 10,479) reported 60 seizures (therapy = 41; placebo = 19). No individual therapy was associated with altered seizure risk ratio. Exceptions were daclizumab (−17.90 [−65.31; −0.65]) and rituximab (−24.86 [−82.71; −1.37]) trending toward lower risk ratio; cladribine (25.78 [0.94; 4.65]) and pegylated interferon-beta-1a (25.40 [0.78; 85.47]) trended toward higher risk ratio. Observations had wide credible intervals. Sensitivity analysis of 16 non-zero-event studies revealed no difference in risk ratio for pooled therapies (l0.32 [−0.94; 0.29]) Conclusion: No evidence of association was found between disease-modifying therapy and seizure risk—this informs seizure management in multiple sclerosis patients.

Background: In the absence of evidence from randomised controlled trials, observational data can be used to emulate clinical trials and guide clinical decisions. Observational studies are, however, susceptible to confounding and bias. Among the used techniques to reduce indication bias are propensity score matching and marginal structural models. Objective: To use the comparative effectiveness of fingolimod vs natalizumab to compare the results obtained with propensity score matching and marginal structural models. Methods: Patients with clinically isolated syndrome or relapsing remitting MS who were treated with either fingolimod or natalizumab were identified in the MSBase registry. Patients were propensity score matched, and inverse probability of treatment weighted at six monthly intervals, using the following variables: age, sex, disability, MS duration, MS course, prior relapses, and prior therapies. Studied outcomes were cumulative hazard of relapse, disability accumulation, and disability improvement. Results: 4608 patients (1659 natalizumab, 2949 fingolimod) fulfilled inclusion criteria, and were propensity score matched or repeatedly reweighed with marginal structural models. Natalizumab treatment was associated with a lower probability of relapse (PS matching: HR 0.67 [95% CI 0.62-0.80]; marginal structural model: 0.71 [0.62-0.80]), and higher probability of disability improvement (PS matching: 1.21 [1.02 -1.43]; marginal structural model 1.43 1.19 -1.72]). There was no evidence of a difference in the magnitude of effect between the two methods. Conclusions: The relative effectiveness of two therapies can be efficiently compared by either marginal structural models or propensity score matching when applied in clearly defined clinical contexts and in sufficiently powered cohorts.

Objective: Schizophrenia, a complex psychiatric disorder, is often associated with cognitive, neurological and neuroimaging abnormalities. The processes underlying these abnormalities, and whether a subset of people with schizophrenia have a neuroprogressive or neurodegenerative component to schizophrenia, remain largely unknown. Examining fluid biomarkers of diverse types of neuronal damage could increase our understanding of these processes, as well as potentially provide clinically useful biomarkers, for example with assisting with differentiation from progressive neurodegenerative disorders such as Alzheimer and frontotemporal dementias. Methods: This study measured plasma neurofilament light chain protein (NfL) using ultrasensitive Simoa technology, to investigate the degree of neuronal injury in a well-characterised cohort of people with treatment-resistant schizophrenia on clozapine ( n = 82), compared to first-degree relatives (an at-risk group, n = 37), people with schizophrenia not treated with clozapine ( n = 13), and age- and sex-matched controls ( n = 59). Results: We found no differences in NfL levels between treatment-resistant schizophrenia (mean NfL, M = 6.3 pg/mL, 95% confidence interval: [5.5, 7.2]), first-degree relatives (siblings, M = 6.7 pg/mL, 95% confidence interval: [5.2, 8.2]; parents, M after adjusting for age = 6.7 pg/mL, 95% confidence interval: [4.7, 8.8]), controls (M = 5.8 pg/mL, 95% confidence interval: [5.3, 6.3]) and not treated with clozapine (M = 4.9 pg/mL, 95% confidence interval: [4.0, 5.8]). Exploratory, hypothesis-generating analyses found weak correlations in treatment-resistant schizophrenia, between NfL and clozapine levels (Spearman’s r = 0.258, 95% confidence interval: [0.034, 0.457]), dyslipidaemia ( r = 0.280, 95% confidence interval: [0.064, 0.470]) and a negative correlation with weight ( r = −0.305, 95% confidence interval: [−0.504, −0.076]). Conclusion: Treatment-resistant schizophrenia does not appear to be associated with neuronal, particularly axonal degeneration. Further studies are warranted to investigate the utility of NfL to differentiate treatment-resistant schizophrenia from neurodegenerative disorders such as behavioural variant frontotemporal dementia, and to explore NfL in other stages of schizophrenia such as the prodome and first episode.

Background: The added value of neurofilament light chain levels in serum (sNfL) to the concept of no evidence of disease activity-3 (NEDA-3) has not yet been investigated in detail. Objective: To assess whether combination of sNfL with NEDA-3 status improves identification of patients at higher risk of disease activity during the following year. Methods: We analyzed 369 blood samples from 155 early relapsing-remitting MS patients on interferon beta-1a. We compared disease activity, including the rate of brain volume loss in subgroups defined by NEDA-3 status and high or low sNfL (> 90th or Results: In patients with disease activity (EDA-3), those with higher sNFL had higher odds of EDA-3 in the following year than those with low sNFL (86.5% vs 57.9%; OR = 4.25, 95% CI: [2.02, 8.95]; p = 0.0001) and greater whole brain volume loss during the following year (β = −0.36%; 95% CI = [−0.60, −0.13]; p = 0.002). Accordingly, NEDA-3 patients with high sNfL showed numerically higher disease activity (EDA-3) in the following year compared with those with low sNfL (57.1% vs 31.1%). Conclusion: sNfL improves the ability to identify patients at higher risk of future disease activity, beyond their NEDA-3 status. Measurement of sNfL may assist clinicians in decision-making by providing more sensitive prognostic information.

Background: Disease-modifying therapies (DMTs) are used to treat people with relapsing-onset multiple sclerosis (ROMS), but our knowledge is largely limited to their short-term effects. Objective: To determine (1) the impact of national-level DMT subsidy policy on DMT use and health outcomes in people with MS (PwMS) and (2) the long-term effects of DMT on disability and quality of life (QoL; 5-level EQ-5D version (EQ-5D-5L) utility value). Methods: This observational cohort study compared Australian and New Zealand populations with different levels of DMT availability 10–20 years post-ROMS diagnosis. Between-country differences were assessed using standardised differences. Associations were assessed with multivariable linear regression models. Results: We recruited 328 Australians and 256 New Zealanders. The Australian cohort had longer DMT treatment duration, greater proportion of disease course treated and shorter duration between diagnosis and starting DMT. The Australian cohort had lower median Expanded Disability Status Scale (EDSS) (3.5 vs 4.0) and Multiple Sclerosis Severity Score (MSSS) (3.05 vs 3.71) and higher QoL (0.71 vs 0.65). In multivariable models, between-country differences in disability and QoL were largely attributed to differential use of DMT. Conclusions: This study provides evidence for the impact of national-level DMT policy on disability outcomes in PwMS. Where DMTs are more accessible, PwMS experienced less disability progression and improved QoL 10–20 years post-diagnosis.

Background/objective: Observational clinical data from cladribine-treated patients with relapsing forms of multiple sclerosis (MS) were recorded in the Australian MS registry powered by the MSBase registry platform (5-year follow-up) and analysed to complement information from the pivotal cladribine clinical trials in MS. Methods: A cohort of 90 cladribine-treated patients with follow-up data reported by treating physicians and recorded in the Australian MSBase registry (database lock February 2016) were examined. Clinical data included Expanded Disability Status Scale (EDSS) scores, relapses and other disease-modifying drugs (DMDs) administered before and after cladribine treatment. Results: Mean age on starting cladribine was 47 years; mean age at MS onset was 34 years, and median baseline EDSS score was 5.25. Disability trajectories in patients with sufficient follow-up suggested an overall increasing trend prior to cladribine treatment which was reduced during the 2-year post-treatment. Approximately 80% of patients were EDSS progression-free, 65% remained relapse-free after 2 years and median time to next DMD was 1.7 years. Conclusion: These observational data suggest a disease-modifying effect in this cohort of relapsing MS patients characterised by older and more disabled patients. Since these data represent a single-arm cohort, clinical trials and larger comparative post-marketing studies are needed to validate and extend these findings.

Background: Multiple sclerosis (MS) cognitive tests are resource intensive and limited by practice effects that prevent frequent retesting. Brief, reliable and valid monitoring tools are urgently needed to detect subtle, subclinical cognitive changes in people with MS. Cognitive monitoring over time could contribute to a new definition of disease progression, supplementing routine clinical monitoring. Methods: MSReactor is a web-based battery that measures psychomotor (processing) speed, visual attention and working memory, using simple reaction time tasks. Clinic-based tasks were completed at baseline and 6 monthly with home testing 1–3 monthly. Acceptability, quality of life, depression and anxiety surveys were completed. We studied its correlation with the Symbol Digit Modalities Test, practice effects, test–retest reliability and the discriminative ability of MSReactor. Results: A total of 450 people with MS were recruited over 18 months, with 81% opting to complete home-based testing. Most participants (96%) would be happy (or neutral) to repeat the tasks again and just four reported the tasks made them ‘very anxious’. Persistence of home testing was high and practice effects stabilized within three tests. MSReactor tasks correlated with Symbol Digit Modalities Test scores and participants with MS performed slower than healthy controls. Conclusion: MSReactor is a scalable and reliable cognitive screening tool that can be used in the clinic and remotely. MSReactor task performance correlated with another highly validated cognitive test, was sensitive to MS and baseline predictors of cognitive performance were identified.

Objective: Objective and reproducible evaluation of data quality is of paramount importance for studies of ‘real-world’ observational data. Here, we summarise a standardised data quality, density and generalisability process implemented by MSBase, a global multiple sclerosis (MS) cohort study. Methods: Error rate, data density score and generalisability score were developed using all 35,869 patients enrolled in MSBase as of November 2015. The data density score was calculated across six domains (follow-up, demography, visits, MS relapses, paraclinical data and therapy) and emphasised data completeness. The error rate evaluated syntactic accuracy and consistency of data. The generalisability score evaluated believability of the demographic and treatment information. Correlations among the three scores and the number of patients per centre were evaluated. Results: Errors were identified at the median rate of 3 per 100 patient-years. The generalisability score indicated the samples’ representativeness of the known MS epidemiology. Moderate correlation between the density and generalisability scores (ρ = 0.58) and a weak correlation between the error rate and the other two scores (ρ = −0.32 to −0.33) were observed. The generalisability score was strongly correlated with centre size (ρ = 0.79). Conclusion: The implemented scores enable objective evaluation of the quality of observational MS data, with an impact on the design of future analyses.

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

Objective: This study evaluated the effect of relapse phenotype on disability accumulation in multiple sclerosis. Methods: Analysis of prospectively collected data was conducted in 19,504 patients with relapse-onset multiple sclerosis and minimum 1-year prospective follow-up from the MSBase cohort study. Multivariable linear regression models assessed associations between relapse incidence, phenotype and changes in disability (quantified with Expanded Disability Status Scale and its Functional System scores). Sensitivity analyses were conducted. Results: In 34,858 relapses recorded during 136,462 patient-years (median follow-up 5.9 years), higher relapse incidence was associated with greater disability accumulation (β = 0.16, p Conclusion: Relapses are associated with accumulation of neurological disability. Relapses in pyramidal, cerebellar and bowel/bladder systems have the greatest association with disability change. Therefore, prevention of these relapses is an important objective of disease-modifying therapy. The differential impact of relapse phenotypes on disability outcomes could influence management of treatment failure in multiple sclerosis.

Objectives: The aim was to analyse risk of relapse phenotype recurrence in multiple sclerosis and to characterise the effect of demographic and clinical features on this phenotype. Methods: Information about relapses was collected using MSBase, an international observational registry. Associations between relapse phenotypes and history of similar relapses or patient characteristics were tested with multivariable logistic regression models. Tendency of relapse phenotypes to recur sequentially was assessed with principal component analysis. Results: Among 14,969 eligible patients (89,949 patient-years), 49,279 phenotypically characterised relapses were recorded. Visual and brainstem relapses occurred more frequently in early disease and in younger patients. Sensory relapses were more frequent in early or non-progressive disease. Pyramidal, sphincter and cerebellar relapses were more common in older patients and in progressive disease. Women presented more often with sensory or visual symptoms. Men were more prone to pyramidal, brainstem and cerebellar relapses. Importantly, relapse phenotype was predicted by the phenotypes of previous relapses. (OR = 1.8–5, p = 10-14). Sensory, visual and brainstem relapses showed better recovery than other relapse phenotypes. Relapse severity increased and the ability to recover decreased with age or more advanced disease. Conclusion: Relapse phenotype was associated with demographic and clinical characteristics, with phenotypic recurrence significantly more common than expected by chance.

Background: Information about cost of multiple sclerosis (MS) is available from a number of European countries, but no data from the Czech Republic have been published so far. Objective: The objective of this study was to establish the cost of MS in the Czech Republic, overall and by level of disease severity. Methods: Data on demographics, disease history, resource consumption and production losses were collected from 909 patients recruited in 7 MS centres in the Czech Republic. Annual costs were estimated in the societal perspective, using 2007 unit costs. To evaluate the relationship between disability and costs, patients were stratified into those with mild (67%), moderate (27%) and severe (10%) disability using the Expanded Disability Status Scale. Results: Mean total annual costs per patient were €12,272, of which 51% were direct medical costs, 4% direct non-medical costs and 45% indirect costs. The average annual costs in patients with mild, moderate and severe disability amounted to €9905, €14,064 and €22,880, respectively. Conclusion: The total costs of MS in the Czech Republic are estimated at €208.6 million per year. Consistent with other studies, the costs increase significantly with the severity of MS.