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1. Perceptual super-resolution in multiple sclerosis MRI

Author: Diana L. Giraldo, Hamza Khan, Gustavo Pineda, Zhihua Liang, Alfonso Lozano-Castillo, Bart Van Wijmeersch, Henry C. Woodruff, Philippe Lambin, Eduardo Romero, Liesbet M. Peeters, and Jan Sijbers
Subjects: super-resolution, MRI, multiple sclerosis, lesion segmentation, CNN, fine-tuning, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: IntroductionMagnetic resonance imaging (MRI) is crucial for diagnosing and monitoring of multiple sclerosis (MS) as it is used to assess lesions in the brain and spinal cord. However, in real-world clinical settings, MRI scans are often acquired with thick slices, limiting their utility for automated quantitative analyses. This work presents a single-image super-resolution (SR) reconstruction framework that leverages SR convolutional neural networks (CNN) to enhance the through-plane resolution of structural MRI in people with MS (PwMS).MethodsOur strategy involves the supervised fine-tuning of CNN architectures, guided by a content loss function that promotes perceptual quality, as well as reconstruction accuracy, to recover high-level image features.ResultsExtensive evaluation with MRI data of PwMS shows that our SR strategy leads to more accurate MRI reconstructions than competing methods. Furthermore, it improves lesion segmentation on low-resolution MRI, approaching the performance achievable with high-resolution images.DiscussionResults demonstrate the potential of our SR framework to facilitate the use of low-resolution retrospective MRI from real-world clinical settings to investigate quantitative image-based biomarkers of MS.
Published: 2024
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2. Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study.

Author: Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants, Pieter Dewulf, Dimitrios Iliadis, Cathérine Dekeyser, Guy Laureys, Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene, Dirk Deschrijver, Willem Waegeman, Bernard De Baets, Michiel Stock, Dana Horakova, Francesco Patti, Guillermo Izquierdo, Sara Eichau, Marc Girard, Alexandre Prat, Alessandra Lugaresi, Pierre Grammond, Tomas Kalincik, Raed Alroughani, Francois Grand'Maison, Olga Skibina, Murat Terzi, Jeannette Lechner-Scott, Oliver Gerlach, Samia J Khoury, Elisabetta Cartechini, Vincent Van Pesch, Maria José Sà, Bianca Weinstock-Guttman, Yolanda Blanco, Radek Ampapa, Daniele Spitaleri, Claudio Solaro, Davide Maimone, Aysun Soysal, Gerardo Iuliano, Riadh Gouider, Tamara Castillo-Triviño, José Luis Sánchez-Menoyo, Anneke van der Walt, Jiwon Oh, Eduardo Aguera-Morales, Ayse Altintas, Abdullah Al-Asmi, Koen de Gans, Yara Fragoso, Tunde Csepany, Suzanne Hodgkinson, Norma Deri, Talal Al-Harbi, Bruce Taylor, Orla Gray, Patrice Lalive, Csilla Rozsa, Chris McGuigan, Allan Kermode, Angel Pérez Sempere, Simu Mihaela, Magdolna Simo, Todd Hardy, Danny Decoo, Stella Hughes, Nikolaos Grigoriadis, Attila Sas, Norbert Vella, Yves Moreau, and Liesbet Peeters
Subjects: Computer applications to medicine. Medical informatics, R858-859.7
Abstract: BackgroundDisability progression is a key milestone in the disease evolution of people with multiple sclerosis (PwMS). Prediction models of the probability of disability progression have not yet reached the level of trust needed to be adopted in the clinic. A common benchmark to assess model development in multiple sclerosis is also currently lacking.MethodsData of adult PwMS with a follow-up of at least three years from 146 MS centers, spread over 40 countries and collected by the MSBase consortium was used. With basic inclusion criteria for quality requirements, it represents a total of 15, 240 PwMS. External validation was performed and repeated five times to assess the significance of the results. Transparent Reporting for Individual Prognosis Or Diagnosis (TRIPOD) guidelines were followed. Confirmed disability progression after two years was predicted, with a confirmation window of six months. Only routinely collected variables were used such as the expanded disability status scale, treatment, relapse information, and MS course. To learn the probability of disability progression, state-of-the-art machine learning models were investigated. The discrimination performance of the models is evaluated with the area under the receiver operator curve (ROC-AUC) and under the precision recall curve (AUC-PR), and their calibration via the Brier score and the expected calibration error. All our preprocessing and model code are available at https://gitlab.com/edebrouwer/ms_benchmark, making this task an ideal benchmark for predicting disability progression in MS.FindingsMachine learning models achieved a ROC-AUC of 0⋅71 ± 0⋅01, an AUC-PR of 0⋅26 ± 0⋅02, a Brier score of 0⋅1 ± 0⋅01 and an expected calibration error of 0⋅07 ± 0⋅04. The history of disability progression was identified as being more predictive for future disability progression than the treatment or relapses history.ConclusionsGood discrimination and calibration performance on an external validation set is achieved, using only routinely collected variables. This suggests machine-learning models can reliably inform clinicians about the future occurrence of progression and are mature for a clinical impact study.
Published: 2024
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3. Managing multiple sclerosis in individuals aged 55 and above: a comprehensive review

Author: Óscar Fernández, Per Soelberg Sörensen, Giancarlo Comi, Patrick Vermersch, Hans-Peter Hartung, Letizia Leocani, Thomas Berger, Bart Van Wijmeersch, and Celia Oreja-Guevara
Subjects: multiple sclerosis, aging, management, disease-modifying treatments, symptomatic treatment, Immunologic diseases. Allergy, RC581-607
Abstract: Multiple Sclerosis (MS) management in individuals aged 55 and above presents unique challenges due to the complex interaction between aging, comorbidities, immunosenescence, and MS pathophysiology. This comprehensive review explores the evolving landscape of MS in older adults, including the increased incidence and prevalence of MS in this age group, the shift in disease phenotypes from relapsing-remitting to progressive forms, and the presence of multimorbidity and polypharmacy. We aim to provide an updated review of the available evidence of disease-modifying treatments (DMTs) in older patients, including the efficacy and safety of existing therapies, emerging treatments such as Bruton tyrosine kinase (BTKs) inhibitors and those targeting remyelination and neuroprotection, and the critical decisions surrounding the initiation, de-escalation, and discontinuation of DMTs. Non-pharmacologic approaches, including physical therapy, neuromodulation therapies, cognitive rehabilitation, and psychotherapy, are also examined for their role in holistic care. The importance of MS Care Units and advance care planning are explored as a cornerstone in providing patient-centric care, ensuring alignment with patient preferences in the disease trajectory. Finally, the review emphasizes the need for personalized management and continuous monitoring of MS patients, alongside advocating for inclusive study designs in clinical research to improve the management of this growing patient demographic.
Published: 2024
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4. Motor evoked potentials for multiple sclerosis, a multiyear follow-up dataset

Author: Jan Yperman, Veronica Popescu, Bart Van Wijmeersch, Thijs Becker, and Liesbet M. Peeters
Subjects: Science
Abstract: Measurement(s) Abnormal upper-limb motor evoked potentials • Abnormal lower-limb motor evoked potentials • Kurtzke Expanded Disability Status Scale Clinical Classification Technology Type(s) Transcranial Magnetic Stimulation • performing a clinical assessment Factor Type(s) Date of birth • Sex • Measurement date Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Belgium
Published: 2022
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5. Anti-SARS-CoV-2 vaccination in people with multiple sclerosis: Lessons learnt a year in

Author: Maura Pugliatti, Hans-Peter Hartung, Celia Oreja-Guevara, Carlo Pozzilli, Laura Airas, Mona Alkhawajah, Nikolaos Grigoriadis, Melinda Magyari, Bart Van Wijmeersch, Magd Zakaria, Ralf Linker, Andrew Chan, Patrick Vermersch, and Thomas Berger
Subjects: COVID-19, vaccines, SARS-CoV-2, multiple sclerosis, disease modifying therapies, immune response, Immunologic diseases. Allergy, RC581-607
Abstract: It has been over a year since people with multiple sclerosis (pwMS) have been receiving vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With a negligible number of cases in which vaccination led to a relapse or new onset MS, experts around the world agree that the potential consequences of COVID-19 in pwMS by far outweigh the risks of vaccination. This article reviews the currently available types of anti-SARS-CoV-2 vaccines and the immune responses they elicit in pwMS treated with different DMTs. Findings to date highlight the importance of vaccine timing in relation to DMT dosing to maximize protection, and of encouraging pwMS to get booster doses when offered.
Published: 2022
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6. Using personalized prognosis in the treatment of relapsing multiple sclerosis: A practical guide

Author: Bart Van Wijmeersch, Hans-Peter Hartung, Patrick Vermersch, Maura Pugliatti, Carlo Pozzilli, Nikolaos Grigoriadis, Mona Alkhawajah, Laura Airas, Ralf Linker, and Celia Oreja-Guevara
Subjects: multiple sclerosis, prognosis, clinical parameters, magnetic resonance imaging (MRI), biomarkers, treatment, Immunologic diseases. Allergy, RC581-607
Abstract: The clinical course of multiple sclerosis (MS) is highly variable among patients, thus creating important challenges for the neurologist to appropriately treat and monitor patient progress. Despite some patients having apparently similar symptom severity at MS disease onset, their prognoses may differ greatly. To this end, we believe that a proactive disposition on the part of the neurologist to identify prognostic “red flags” early in the disease course can lead to much better long-term outcomes for the patient in terms of reduced disability and improved quality of life. Here, we present a prognosis tool in the form of a checklist of clinical, imaging and biomarker parameters which, based on consensus in the literature and on our own clinical experiences, we have established to be associated with poorer or improved clinical outcomes. The neurologist is encouraged to use this tool to identify the presence or absence of specific variables in individual patients at disease onset and thereby implement sufficiently effective treatment strategies that appropriately address the likely prognosis for each patient.
Published: 2022
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7. Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis

Author: Jan Yperman, Thijs Becker, Dirk Valkenborg, Veronica Popescu, Niels Hellings, Bart Van Wijmeersch, and Liesbet M. Peeters
Subjects: Evoked potentials, Multiple sclerosis, Machine learning, Disease prognosis, Feature extraction, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Evoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis patients. Previous studies only extracted a few variables from the EPs, which are often further condensed into a single variable: the EP score. We perform a machine learning analysis of motor EP that uses the whole time series, instead of a few variables, to predict disability progression after two years. Obtaining realistic performance estimates of this task has been difficult because of small data set sizes. We recently extracted a dataset of EPs from the Rehabiliation & MS Center in Overpelt, Belgium. Our data set is large enough to obtain, for the first time, a performance estimate on an independent test set containing different patients. Methods We extracted a large number of time series features from the motor EPs with the highly comparative time series analysis software package. Mutual information with the target and the Boruta method are used to find features which contain information not included in the features studied in the literature. We use random forests (RF) and logistic regression (LR) classifiers to predict disability progression after two years. Statistical significance of the performance increase when adding extra features is checked. Results Including extra time series features in motor EPs leads to a statistically significant improvement compared to using only the known features, although the effect is limited in magnitude (ΔAUC = 0.02 for RF and ΔAUC = 0.05 for LR). RF with extra time series features obtains the best performance (AUC = 0.75±0.07 (mean and standard deviation)), which is good considering the limited number of biomarkers in the model. RF (a nonlinear classifier) outperforms LR (a linear classifier). Conclusions Using machine learning methods on EPs shows promising predictive performance. Using additional EP time series features beyond those already in use leads to a modest increase in performance. Larger datasets, preferably multi-center, are needed for further research. Given a large enough dataset, these models may be used to support clinicians in their decision making process regarding future treatment.
Published: 2020
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8. The use of alemtuzumab in patients with relapsing-remitting multiple sclerosis: the Gulf perspective

Author: Raed Alroughani, Bart Van Wijmeersch, Jabber Al Khaboori, Isa Ahmed Alsharoqi, Samar F. Ahmed, Ali Hassan, Jihad Inshasi, Derk W. Krieger, Mustafa Shakra, Ahmed Osman Shatila, Miklos Szolics, Mohamed Khallaf, and Aly Ezzat
Subjects: Neurology. Diseases of the nervous system, RC346-429
Abstract: Over the past decade, the development of high-efficacy disease-modifying therapies (DMTs) has been responsible for more effective management of relapsing-remitting multiple sclerosis (RRMS). However, the gaps in optimal care for this complex disease remain. Alemtuzumab (Lemtrada®) is a highly efficacious DMT that shows better patient outcomes and therapeutic benefits, but its use is under-recognized in the Gulf region. Experts in the care of multiple sclerosis shared their opinions based on study data and daily clinical experience in identifying the appropriate patient profile suitable for alemtuzumab’s therapeutic benefits. Age, disease activity and severity, disability status, physician experience, and economic condition are some of the key indicators for alemtuzumab use.
Published: 2020
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9. CNS delivery of anti-CD52 antibodies modestly reduces disease severity in an animal model for multiple sclerosis

Author: Jeroen FJ Bogie, Elien Grajchen, Elien Wouters, Bieke Broux, Piet Stinissen, Bart Van Wijmeersch, and Jerome JA Hendriks
Subjects: Therapeutics. Pharmacology, RM1-950
Abstract: Background and aims: Alemtuzumab is a humanized monoclonal antibody that depletes CD52-bearing B and T lymphocytes. Clinical trials defined that systemic administration of alemtuzumab reduces disease severity in the relapsing–remitting phase of multiple sclerosis (MS). However, its efficacy in progressive MS patients is limited, which may reflect the inability of alemtuzumab to cross the reconstituted BBB in these patients. Objective: to study whether central nervous system (CNS) delivery of anti-CD52 antibodies reduces disease severity and the neuroinflammatory burden in the experimental autoimmune encephalomyelitis (EAE) model. Methods: Anti-CD52 antibodies were administered intrathecally during the acute and chronic phases of EAE. Flow cytometry and immunohistochemistry were utilized to define immunological and pathological parameters. Results: We show that subcutaneously administrated anti-CD52 antibodies completely abolish EAE disease severity. CNS delivery of anti-CD52 antibodies during both the acute and chronic phases of EAE moderately reduces disease severity and the neuroinflammatory burden. Our findings further suggest that CNS delivery of anti-CD52 antibodies impacts both the peripheral and CNS immune cell compartments in the EAE model but not in healthy mice. Conclusion: Collectively, our findings highlight the therapeutic potential of CNS delivery of alemtuzumab for the treatment of progressive as well as early MS.
Published: 2020
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10. Comparing 16 Different Dual–Tasking Paradigms in Individuals With Multiple Sclerosis and Healthy Controls: Working Memory Tasks Indicate Cognitive–Motor Interference

Author: Carmela Leone, Lousin Moumdjian, Francesco Patti, Ellen Vanzeir, Ilse Baert, Renee Veldkamp, Bart Van Wijmeersch, and Peter Feys
Subjects: cognitive–motor interference, discriminative complex walking task, dual-task cost, walking, working-memory, Neurology. Diseases of the nervous system, RC346-429
Abstract: Background: Cognitive–motor interference (CMI) is measured by dual-tasking (DT), which involves motor and cognitive tasks. There is no consensus as to whether CMI is present in multiple sclerosis (MS).Objectives: We investigated the effects of 16 DT conditions by measuring motor complexity, cognitive domain, and task difficulty.Method: In total, 40 persons with MS (pwMSs) with Expanded Disease Status Scale (EDSS) 3.2 ± 1.7 and 31 age- and sex-matched healthy controls (HCs) completed 2 single walking, 8 single cognitive, and 2 complex walking tasks and 16 cognitive–motor DT. The main outcomes were mean values of gait velocity and the percentage change from single to DT (motor DT costs, mDTCs) and mean values of cognitive task accuracy and the percentage changes (cognitive DTC, cDTC).Results: Two-way analyses of variance showed the main effect of cognitive task yielded an F ratio of F(4, 268) = 72.35, p < 0.01, for mean gait velocity, and an F ratio of F(4, 304) = 17.12, p < 0.001, for mDTC, indicating that the mean velocity was significantly lower and the mDTC significantly higher for DS_B (mean = 1.27, SD = 0.03, and mean = 13.52, SD = 1.28, respectively). The main effect of cognitive task yielded an F ratio of F(4, 116) = 84.32, p < 0.001, with the lowest average accuracy for DS_B (mean = 43.95, SD = 3.33); no effect was found for cDTC. In pwMSs, the EDSS accounted for 28% (F = 13.65, p = 0.001) of variance in a model predicting the highest mDTC.Conclusions: Overall, among different cognitive tasks added, the Digit Span backward was the most interfering cognitive task over gait velocity and accuracy. The effect was similar independently from the motor complexity and the group. PwMSs and HCs behaved in a similar manner at all motor complexity levels and during all cognitive task.
Published: 2020
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11. Deciphering the Morphology of Motor Evoked Potentials

Author: Jan Yperman, Thijs Becker, Dirk Valkenborg, Niels Hellings, Melissa Cambron, Dominique Dive, Guy Laureys, Veronica Popescu, Bart Van Wijmeersch, and Liesbet M. Peeters
Subjects: motor evoked potentials, morphology, multiple sclerosis, machine learning, approximate entropy, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Motor Evoked Potentials (MEPs) are used to monitor disability progression in multiple sclerosis (MS). Their morphology plays an important role in this process. Currently, however, there is no clear definition of what constitutes a normal or abnormal morphology. To address this, five experts independently labeled the morphology (normal or abnormal) of the same set of 1,000 MEPs. The intra- and inter-rater agreement between the experts indicates they agree on the concept of morphology, but differ in their choice of threshold between normal and abnormal morphology. We subsequently performed an automated extraction of 5,943 time series features from the MEPs to identify a valid proxy for morphology, based on the provided labels. To do this, we compared the cross-validation performances of one-dimensional logistic regression models fitted to each of the features individually. We find that the approximate entropy (ApEn) feature can accurately reproduce the majority-vote labels. The performance of this feature is evaluated on an independent test set by comparing to the majority vote of the neurologists, obtaining an AUC score of 0.92. The model slightly outperforms the average neurologist at reproducing the neurologists consensus-vote labels. We can conclude that MEP morphology can be consistently defined by pooling the interpretations from multiple neurologists and that ApEn is a valid continuous score for this. Having an objective and reproducible MEP morphological abnormality score will allow researchers to include this feature in their models, without manual annotation becoming a bottleneck. This is crucial for large-scale, multi-center datasets. An exploratory analysis on a large single-center dataset shows that ApEn is potentially clinically useful. Introducing an automated, objective, and reproducible definition of morphology could help overcome some of the barriers that are currently obstructing broad adoption of evoked potentials in daily care and patient follow-up, such as standardization of measurements between different centers, and formulating guidelines for clinical use.
Published: 2020
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12. Cytomegalovirus infection exacerbates autoimmune mediated neuroinflammation

Author: Marjan Vanheusden, Bieke Broux, Suzanne P. M. Welten, Liesbet M. Peeters, Eleni Panagioti, Bart Van Wijmeersch, Veerle Somers, Piet Stinissen, Ramon Arens, and Niels Hellings
Subjects: Medicine, Science
Abstract: Abstract Cytomegalovirus (CMV) is a latent virus which causes chronic activation of the immune system. Here, we demonstrate that cytotoxic and pro-inflammatory CD4+CD28null T cells are only present in CMV seropositive donors and that CMV-specific Immunoglobulin (Ig) G titers correlate with the percentage of these cells. In vitro stimulation of peripheral blood mononuclear cells with CMVpp65 peptide resulted in the expansion of pre-existing CD4+CD28null T cells. In vivo, we observed de novo formation, as well as expansion of CD4+CD28null T cells in two different chronic inflammation models, namely the murine CMV (MCMV) model and the experimental autoimmune encephalomyelitis (EAE) model for multiple sclerosis (MS). In EAE, the percentage of peripheral CD4+CD28null T cells correlated with disease severity. Pre-exposure to MCMV further aggravated EAE symptoms, which was paralleled by peripheral expansion of CD4+CD28null T cells, increased splenocyte MOG reactivity and higher levels of spinal cord demyelination. Cytotoxic CD4+ T cells were identified in demyelinated spinal cord regions, suggesting that peripherally expanded CD4+CD28null T cells migrate towards the central nervous system to inflict damage. Taken together, we demonstrate that CMV drives the expansion of CD4+CD28null T cells, thereby boosting the activation of disease-specific CD4+ T cells and aggravating autoimmune mediated inflammation and demyelination.
Published: 2017
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13. Best Practices for Long-Term Monitoring and Follow-Up of Alemtuzumab-Treated MS Patients in Real-World Clinical Settings

Author: Krista Barclay, Robert Carruthers, Anthony Traboulsee, Ann D. Bass, Christopher LaGanke, Antonio Bertolotto, Aaron Boster, Elisabeth G. Celius, Jérôme de Seze, Dionisio Dela Cruz, Mario Habek, Jong-Mi Lee, Volker Limmroth, Sven G. Meuth, Celia Oreja-Guevara, Patricia Pagnotta, Cindy Vos, Tjalf Ziemssen, Darren P. Baker, and Bart Van Wijmeersch
Subjects: relapsing-remitting multiple sclerosis, disease-modifying therapy, alemtuzumab, anti-CD52 monoclonal antibody, monitoring, autoimmune events, Neurology. Diseases of the nervous system, RC346-429
Abstract: Multiple sclerosis (MS) is a chronic autoimmune neurological disease that typically affects young adults, causing irreversible physical disability and cognitive impairment. Alemtuzumab, administered intravenously as 2 initial courses of 12 mg/day (5 consecutive days at baseline, and 3 consecutive days 12 months later), resulted in significantly greater improvements in clinical and MRI outcomes vs. subcutaneous interferon beta-1a over 2 years in patients with active relapsing-remitting MS (RRMS) who were either treatment-naive (CARE-MS I; NCT00530348) or had an inadequate response to prior therapy (CARE-MS II; NCT00548405). Efficacy with alemtuzumab was maintained over 7 years in subsequent extension studies (NCT00930553; NCT02255656), in the absence of continuous treatment and with a consistent safety profile. There is an increased incidence of autoimmune events in patients treated with alemtuzumab (mainly thyroid events, but also immune thrombocytopenia and nephropathy), which imparts a need for mandatory safety monitoring for 4 years following the last treatment. The risk management strategy for alemtuzumab-treated patients includes laboratory monitoring and a comprehensive patient education and support program that enables early detection and effective management of autoimmune events, yielding optimal outcomes for MS patients. Here we provide an overview of tools and techniques that have been implemented in real-world clinical settings to reduce the burden of monitoring for both patients and healthcare providers, including customized educational materials, the use of social media, and interactive online databases for managing healthcare data. Many practices are also enhancing patient outreach efforts through coordination with specialized nursing services and ancillary caregivers. The best practice recommendations for safety monitoring described in this article, based on experiences in real-world clinical settings, may enable early detection and management of autoimmune events, and help with implementation of monitoring requirements while maximizing the benefits of alemtuzumab treatment for MS patients.
Published: 2019
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14. Cytotoxic CD4+ T Cells Drive Multiple Sclerosis Progression

Author: Liesbet M. Peeters, Marjan Vanheusden, Veerle Somers, Bart Van Wijmeersch, Piet Stinissen, Bieke Broux, and Niels Hellings
Subjects: multiple sclerosis, prognosis, multimodal evoked potentials, CD4+CD28null T cells, personalized medicine, prognostic risk factor, Immunologic diseases. Allergy, RC581-607
Abstract: Multiple sclerosis (MS) is the leading cause of chronic neurological disability in young adults. The clinical disease course of MS varies greatly between individuals, with some patients progressing much more rapidly than others, making prognosis almost impossible. We previously discovered that cytotoxic CD4+ T cells (CD4+ CTL), identified by the loss of CD28, are able to migrate to sites of inflammation and that they contribute to tissue damage. Furthermore, in an animal model for MS, we showed that these cells are correlated with inflammation, demyelination, and disability. Therefore, we hypothesize that CD4+ CTL drive progression of MS and have prognostic value. To support this hypothesis, we investigated whether CD4+ CTL are correlated with worse clinical outcome and evaluated the prognostic value of these cells in MS. To this end, the percentage of CD4+CD28null T cells was measured in the blood of 176 patients with relapsing-remitting MS (=baseline). Multimodal evoked potentials (EP) combining information on motoric, visual, and somatosensoric EP, as well as Kurtzke expanded disability status scale (EDSS) were used as outcome measurements at baseline and after 3 and 5 years. The baseline CD4+CD28null T cell percentage is associated with EP (P = 0.003, R2 = 0.28), indicating a link between these cells and disease severity. In addition, the baseline CD4+CD28null T cell percentage has a prognostic value since it is associated with EP after 3 years (P = 0.005, R2 = 0.29) and with EP and EDSS after 5 years (P = 0.008, R2 = 0.42 and P = 0.003, R2 = 0.27). To the best of our knowledge, this study provides the first direct link between the presence of CD4+ CTL and MS disease severity, as well as its prognostic value. Therefore, we further elaborate on two important research perspectives: 1° investigating strategies to block or reverse pathways in the formation of these cells resulting in new treatments that slow down MS disease progression, 2° including immunophenotyping in prediction modeling studies to aim for personalized medicine.
Published: 2017
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15. Twelve Weeks of Medium-Intensity Exercise Therapy Affects the Lipoprotein Profile of Multiple Sclerosis Patients

Author: Winde Jorissen, Tim Vanmierlo, Inez Wens, Veerle Somers, Bart Van Wijmeersch, Jeroen F. Bogie, Alan T. Remaley, Bert O. Eijnde, and Jerome J. A. Hendriks
Subjects: multiple sclerosis, lipoproteins, cholesterol, training exercise, Biology (General), QH301-705.5, Chemistry, QD1-999
Abstract: Multiple sclerosis (MS) is an inflammatory auto-immune disease of the central nervous system (CNS). Serum glucose alterations and impaired glucose tolerance (IGT) are reported in MS patients, and are commonly associated with the development of cardio-metabolic co-morbidities. We previously found that a subgroup of MS patients shows alterations in their lipoprotein profile that are similar to a pre-cardiovascular risk profile. In addition, we showed that a high-intensity exercise training has a positive effect on IGT in MS patients. In this study, we hypothesize that exercise training positively influences the lipoprotein profile of MS patients. To this end, we performed a pilot study and determined the lipoprotein profile before (controls, n = 40; MS patients, n = 41) and after (n = 41 MS only) 12 weeks of medium-intensity continuous training (MIT, n = 21, ~60% of VO2max) or high-intensity interval training (HIT, n = 20, ~100–200% of VO2max) using nuclear magnetic resonance spectroscopy (NMR). Twelve weeks of MIT reduced intermediate-density lipoprotein particle count ((nmol/L); −43.4%; p < 0.01), low-density lipoprotein cholesterol (LDL-c (mg/dL); −7.6%; p < 0.05) and VLDL size ((nm); −6.6%; p < 0.05), whereas HIT did not influence the lipoprotein profile. These results show that MIT partially normalizes lipoprotein alterations in MS patients. Future studies including larger patient and control groups should determine whether MIT can reverse other lipoprotein levels and function and if these alterations are related to MS disease progression and the development of co-morbidities.
Published: 2018
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16. Compositional changes of B and T cell subtypes during fingolimod treatment in multiple sclerosis patients: a 12-month follow-up study.

Author: Nele Claes, Tessa Dhaeze, Judith Fraussen, Bieke Broux, Bart Van Wijmeersch, Piet Stinissen, Raymond Hupperts, Niels Hellings, and Veerle Somers
Subjects: Medicine, Science
Abstract: BACKGROUND AND OBJECTIVE: The long term effects of fingolimod, an oral treatment for relapsing-remitting (RR) multiple sclerosis (MS), on blood circulating B and T cell subtypes in MS patients are not completely understood. This study describes for the first time the longitudinal effects of fingolimod treatment on B and T cell subtypes. Furthermore, expression of surface molecules involved in antigen presentation and costimulation during fingolimod treatment are assessed in MS patients in a 12 month follow-up study. METHODS: Using flow cytometry, B and T cell subtypes, and their expression of antigen presentation, costimulation and migration markers were measured during a 12 month follow-up in the peripheral blood of MS patients. Data of fingolimod-treated MS patients (n = 49) were compared to those from treatment-naive (n = 47) and interferon-treated (n = 27) MS patients. RESULTS: In the B cell population, we observed a decrease in the proportion of non class-switched and class-switched memory B cells (p
Published: 2014
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17. Comparative effectiveness in multiple sclerosis: A methodological comparison

Author: Izanne Roos, Ibrahima Diouf, Sifat Sharmin, Dana Horakova, Eva Kubala Havrdova, Francesco Patti, Vahid Shaygannejad, Serkan Ozakbas, Guillermo Izquierdo, Sara Eichau, Marco Onofrj, Alessandra Lugaresi, Raed Alroughani, Alexandre Prat, Marc Girard, Pierre Duquette, Murat Terzi, Cavit Boz, Francois Grand’Maison, Patrizia Sola, Diana Ferraro, Pierre Grammond, Recai Turkoglu, Katherine Buzzard, Olga Skibina, Bassem Yamou, Ayse Altintas, Oliver Gerlach, Vincent van Pesch, Yolanda Blanco, Davide Maimone, Jeannette Lechner-Scott, Roberto Bergamaschi, Rana Karabudak, Chris McGuigan, Elisabetta Cartechini, Michael Barnett, Stella Hughes, Maria José Sa, Claudio Solaro, Cristina Ramo-Tello, Suzanne Hodgkinson, Daniele Spitaleri, Aysun Soysal, Thor Petersen, Franco Granella, Koen de Gans, Pamela McCombe, Radek Ampapa, Bart Van Wijmeersch, Anneke van der Walt, Helmut Butzkueven, Julie Prevost, Jose Luis Sanchez-Menoyo, Guy Laureys, Riadh Gouider, Tamara Castillo-Triviño, Orla Gray, Eduardo Aguera-Morales, Abdullah Al-Asmi, Cameron Shaw, Norma Deri, Talal Al-Harbi, Yara Fragoso, Tunde Csepany, Angel Perez Sempere, Irene Trevino-Frenk, Jan Schepel, Fraser Moore, Charles Malpas, Tomas Kalincik, and UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire
Subjects: Multiple Sclerosis, Fingolimod Hydrochloride, Natalizumab, Multiple Sclerosis, Relapsing-Remitting, Treatment Outcome, Neurology, Recurrence, Humans, Immunologic Factors, Neurology (clinical), causal inference, Propensity Score, Observational, Immunosuppressive Agents
Abstract: 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.
Published: 2023

18. Variability of the response to immunotherapy among subgroups of patients with multiple sclerosis

Author: Ibrahima Diouf, Charles B. Malpas, Sifat Sharmin, Izanne Roos, Dana Horakova, Eva Kubala Havrdova, Francesco Patti, Vahid Shaygannejad, Serkan Ozakbas, Guillermo Izquierdo, Sara Eichau, Marco Onofrj, Alessandra Lugaresi, Raed Alroughani, Alexandre Prat, Marc Girard, Pierre Duquette, Murat Terzi, Cavit Boz, Francois Grand'Maison, Sherif Hamdy, Patrizia Sola, Diana Ferraro, Pierre Grammond, Recai Turkoglu, Katherine Buzzard, Olga Skibina, Bassem Yamout, Ayse Altintas, Oliver Gerlach, Vincent van Pesch, Yolanda Blanco, Davide Maimone, Jeannette Lechner‐Scott, Roberto Bergamaschi, Rana Karabudak, Gerardo Iuliano, Chris McGuigan, Elisabetta Cartechini, Michael Barnett, Stella Hughes, Maria José Sa, Claudio Solaro, Ludwig Kappos, Cristina Ramo‐Tello, Edgardo Cristiano, Suzanne Hodgkinson, Daniele Spitaleri, Aysun Soysal, Thor Petersen, Mark Slee, Ernest Butler, Franco Granella, Koen de Gans, Pamela McCombe, Radek Ampapa, Bart Van Wijmeersch, Anneke van der Walt, Helmut Butzkueven, Julie Prevost, L. G. F. Sinnige, Jose Luis Sanchez‐Menoyo, Steve Vucic, Guy Laureys, Liesbeth Van Hijfte, Dheeraj Khurana, Richard Macdonell, Riadh Gouider, Tamara Castillo‐Triviño, Orla Gray, Eduardo Aguera‐Morales, Abdullah Al‐Asmi, Cameron Shaw, Norma Deri, Talal Al‐Harbi, Yara Fragoso, Tunde Csepany, Angel Perez Sempere, Irene Trevino‐Frenk, Jan Schepel, Fraser Moore, Tomas Kalincik, UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, Laureys, Guy/0000-0002-1708-4373, Lugaresi, Alessandra/0000-0003-2902-5589, Aguera-Morales, Eduardo/0000-0002-8604-2054, Petersen, Thor/0000-0001-5633-2600, Roos, Izanne/0000-0003-0371-3666, Slee, Mark/0000-0003-4323-2453, patti, francesco/0000-0002-6923-0846, Diouf, Ibrahima, Malpas, Charles B., Sharmin , Sifat, Roos, Izanne, Horakova, Dana, Havrdova, Eva Kubala, Patti, Francesco, Shaygannejad, Vahid, Ozakbas, Serkan, Izquierdo, Guillermo, Eichau, Sara, Onofrj, Marco, Lugaresi, Alessandra, Alroughani, Raed, Prat, Alexandre, Girard, Marc, Duquette, Pierre, Terzi, Murat, Boz, Cavit, Grand'Maison, Francois, Hamdy, Sherif, Sola, Patrizia, Ferraro, Diana, Grammond, Pierre, Turkoglu, Recai, Buzzard, Katherine, Skibina, Olga, Yamout, Bassem, Altintas, Ayse, Gerlach, Oliver, van Pesch, Vincent, Blanco, Yolanda, Maimone, Davide, Lechner-Scott, Jeannette, Bergamaschi, Roberto, Karabudak, Rana, Iuliano, Gerardo, McGuigan, Chris, Cartechini, Elisabetta, Barnett, Michael, Hughes, Stella, Sa, Maria Jose, Solaro, Claudio, Kappos, Ludwig, Ramo-Tello, Cristina, Cristiano, Edgardo, Hodgkinson, Suzanne, Spitaleri, Daniele, Soysal, Aysun, Petersen, Thor, Slee, Mark, Butler, Ernest, Granella, Franco, de Gans, Koen, McCombe, Pamela, Ampapa, Radek, VAN WIJMEERSCH, Bart, van der Walt, Anneke, Butzkueven, Helmut, Prevost, Julie, Sinnige, L. G. F., Sanchez-Menoyo, Jose Luis, Vucic, Steve, Laureys, Guy, Van Hijfte, Liesbeth, Khurana, Dheeraj, Macdonell, Richard, Gouider, Riadh, Castillo-Trivino, Tamara, Gray, Orla, Aguera-Morales, Eduardo, Al-Asmi, Abdullah, Shaw, Cameron, Deri, Norma, Al-Harbi, Talal, Fragoso, Yara, Csepany, Tunde, Sempere, Angel Perez, Trevino-Frenk, Irene, Schepel, Jan, Moore, Fraser, and Kalincik, Tomas
Subjects: marginal structural model, relapse, Multiple Sclerosis, Multiple Sclerosis, Chronic Progressive, multiple sclerosis, Multiple Sclerosis, Relapsing-Remitting, Neurology, Recurrence, Medicine and Health Sciences, Humans, Neurology (clinical), EDSS, immunotherapy, Proportional Hazards Models
Abstract: Background and purpose: This study assessed the effect of patient characteristics on the response to disease-modifying therapy (DMT) in multiple sclerosis (MS).Methods: We extracted data from 61,810 patients from 135 centers across 35 countries from the MSBase registry. The selection criteria were: clinically isolated syndrome or definite MS, follow -up >= 1 year, and Expanded Disability Status Scale (EDSS) score >= 3, with >= 1 score recorded per year. Marginal structural models with interaction terms were used to compare the hazards of 12 -month confirmed worsening and improvement of disability, and the incidence of relapses between treated and untreated patients stratified by their characteristics.Results: Among 24,344 patients with relapsing MS, those on DMTs experienced 48% reduction in relapse incidence (hazard ratio [HR] = 0.52, 95% confidence interval [CI] = 0.45- 0.60), 46% lower risk of disability worsening (HR = 0.54, 95% CI = 0.41- 0.71), and 32% greater chance of disability improvement (HR = 1.32, 95% CI = 1.09- 1.59). The effect of DMTs on EDSS worsening and improvement and the risk of relapses was attenuated with more severe disability. The magnitude of the effect of DMT on suppressing relapses declined with higher prior relapse rate and prior cerebral magnetic resonance imaging activity. We did not find any evidence for the effect of age on the effectiveness of DMT. After inclusion of 1985 participants with progressive MS, the effect of DMT on disability mostly depended on MS phenotype, whereas its effect on relapses was driven mainly by prior relapse activity.Conclusions: DMT is generally most effective among patients with lower disability and in relapsing MS phenotypes. There is no evidence of attenuation of the effect of DMT with age. This study was financially supported by the National Health and Medical Research Council of Australia (1129189, 1140766, 1080518) We thank the patients and their carers who have agreed to participate in the global MSBase cohort study. The MSBase Foundation is a not-for-profit organization that receives support from Roche, Merck, Biogen, Novartis, Bayer-Schering, Sanofi-Genzyme, and Teva. The study was conducted separately and apart from the guidance of the sponsors. Open access publishing facilitated by The University of Melbourne, as part of the Wiley - The University of Melbourne agreement via the Council of Australian University Librarians.
Published: 2023

19. The Multiple Sclerosis Data Alliance Catalogue

Author: Lotte Geys, Tina Parciak, Ashkan Pirmani, Robert McBurney, Hollie Schmidt, Tanja Malbaša, Tjalf Ziemssen, Arnfin Bergmann, Juan I. Rojas, Edgardo Cristiano, Juan Antonio García-Merino, Óscar Fernández, Jens Kuhle, Claudio Gobbi, Amber Delmas, Steve Simpson-Yap, Nupur Nag, Bassem Yamout, Nina Steinemann, Pierrette Seeldrayers, Bénédicte Dubois, Ingrid van der Mei, Alexander Stahmann, Jelena Drulovic, Tatjana Pekmezovic, Waldemar Brola, Mar Tintore, Nynke Kalkers, Rumen Ivanov, Magd Zakaria, Maged Abdel Naseer, Wim Van Hecke, Nikolaos Grigoriadis, Marina Boziki, Adriana Carra, Mikolaj A. Pawlak, Ruth Dobson, Kerstin Hellwig, Arlene Gallagher, Letizia Leocani, Gloria Dalla Costa, Nise Alessandra de Carvalho Sousa, Bart Van Wijmeersch, and Liesbet M. Peeters
Subjects: Advanced and Specialized Nursing, Neurology (clinical)
Abstract: Background: One of the major objectives of the Multiple Sclerosis Data Alliance (MSDA) is to enable better discovery of multiple sclerosis (MS) real-world data (RWD). Methods: We implemented the MSDA Catalogue, which is available worldwide. The current version of the MSDA Catalogue collects descriptive information on governance, purpose, inclusion criteria, procedures for data quality control, and how and which data are collected, including the use of e-health technologies and data on collection of COVID-19 variables. The current cataloguing procedure is performed in several manual steps, securing an effective catalogue. Results: Herein we summarize the status of the MSDA Catalogue as of January 6, 2021. To date, 38 data sources across five continents are included in the MSDA Catalogue. These data sources differ in purpose, maturity, and variables collected, but this landscaping effort shows that there is substantial alignment on some domains. The MSDA Catalogue shows that personal data and basic disease data are the most collected categories of variables, whereas data on fatigue measurements and cognition scales are the least collected in MS registries/cohorts. Conclusions: The Web-based MSDA Catalogue provides strategic overview and allows authorized end users to browse metadata profiles of data cohorts and data sources. There are many existing and arising RWD sources in MS. Detailed cataloguing of MS RWD is a first and useful step toward reducing the time needed to discover MS RWD sets and promoting collaboration.
Published: 2021

20. Rapamycin rescues loss-of-function in blood-brain barrier-interacting regulatory T cells

Author: Paulien Baeten, Ibrahim Hamad, Cindy Hoeks, Michael Hiltensperger, Bart Van Wijmeersch, Veronica Popescu, Lilian Aly, Veerle Somers, Thomas Korn, Markus Kleinewietfeld, Niels Hellings, and Bieke Broux
Abstract: In many autoimmune diseases, FOXP3+regulatory T cells (Tregs) skew towards a pro-inflammatory and non-suppressive phenotype and are therefore unable to control the exaggerated autoimmune response. This may largely impact the success of autologous Treg therapy which is currently under investigation for treatment of autoimmune diseases, including multiple sclerosis (MS). Thus, there is a need to ensurein vivostability of Tregs before successful Treg therapy can be applied. Using a murine genetic fate-mapping model, we demonstrate that inflammatory exFOXP3 T cells accumulate in the central nervous system (CNS) during experimental autoimmune encephalomyelitis (EAE). In a humanin vitroBBB model, we discovered that interaction with inflamed blood-brain barrier (BBB)-endothelial cells induces loss of suppressive function in Tregs. Transcriptome analysis further revealed that Tregs which migrated across inflamed BBB-endothelial cellsin vitrohave a pro-inflammatory Th1/17 signature and upregulate the mTORC1 signaling pathway compared to non-migrated Tregs. These findings suggest that interaction with BBB-endothelial cells is sufficient to affect Treg function, and that transmigration triggers an additive pro-inflammatory phenotype switch, which was also seen in CNS-derived exFOXP3 T cells of EAE mice.In vitrotreatment of migrated human Tregs with the clinically-approved mTORC1 inhibitor rapamycin completely restored the loss of suppressive function. Finally, flow cytometric analysis indicated an enrichment of inflammatory, less suppressive CD49d+Tregs in the cerebrospinal fluid of MS patients, thereby underscoring the relevance of our findings for human disease. In sum, our findings provide firm evidence that the inflamed BBB affects human Treg stability, which can be restored using a mTORC1 inhibitor. These insights can help in significantly improving the efficacy of autologous Treg therapy of MS.
Published: 2022

21. Machine-learning-based prediction of disability progression in multiple sclerosis: an observational, international, multi-center study

Author: Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants, Pieter Dewulf, Dimitrios Iliadis, Cathérine Dekeyser, Guy Laureys, Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene, Dirk Deschrijver, Willem Waegeman, Bernard De Baets, Michiel Stock, Dana Horakova, Francesco Patti, Guillermo Izquierdo, Sara Eichau, Marc Girard, Alexandre Prat, Alessandra Lugaresi, Pierre Grammond, Tomas Kalincik, Raed Alroughani, Francois Grand’Maison, Olga Skibina, Murat Terzi, Jeannette Lechner-Scott, Oliver Gerlach, Samia J. Khoury, Elisabetta Cartechini, Vincent Van Pesch, Maria Jose Sa, Bianca Weinstock-Guttman, Yolanda Blanco, Radek Ampapa, Daniele Spitaleri, Claudio Solaro, Davide Maimone, Aysun Soysal, Gerardo Iuliano, Riadh Gouider, Tamara Castillo-Triviño, Jose Luis Sanchez-Menoyo, Anneke van der Walt, Jiwon Oh, Eduardo Aguera-Morales, Ayse Altintas, Abdullah Al-Asmi, Koen de Gans, Yara Fragoso, Tunde Csepany, Suzanne Hodgkinson, Norma Deri, Talal Al-Harbi, Bruce Taylor, Orla Gray, Patrice Lalive, Csilla Rozsa, Chris McGuigan, Allan Kermode, Angel Perez sempere, Simu Mihaela, Magdolna Simo, Todd Hardy, Danny Decoo, Stella Hughes, Nikolaos Grigoriadis, Attila Sas, Norbert Vella, Yves Moreau, and Liesbet Peeters
Abstract: BackgroundDisability progression is a key milestone in the disease evolution of people with multiple sclerosis (PwMS). Prediction models of disability progression have not yet reached the level of trust needed to be adopted in the clinic. A common benchmark to assess model development in multiple sclerosis is also currently lacking.MethodsData of adult PwMS with a follow-up of at least three years from 146 MS centers, spread over 40 countries and collected by the MSBase consortium was used. With basic inclusion criteria for quality requirements, it represents a total of 15, 240 PwMS. External validation was performed and repeated five times to assess the significance of the results. TRIPOD guidelines were followed.Confirmed disability progression after two years was predicted, with a confirmation window of six months. Only routinely collected variables were used such as the expended disability status scale, treatment, relapse information, and MS course.To learn the probability of disability progression, state-of-the-art machine learning models were investigated. The discrimination performance of the models is evaluated on their area under the receiver operator curve (ROC-AUC) and under the precision recall curve (AUC-PR), and their calibration via the Brier score and the expected calibration error.FindingsA temporal attention model was the best model. It achieved a ROC-AUC of 0·71 ± 0·01, an AUC-PR of 0·26 ± 0·02, a Brier score of 0·1 ± 0·01 and an expected calibration error of 0·07 ± 0·04. The history of disability progression is more predictive for future disability progression than the treatment or relapses.InterpretationGood discrimination and calibration performance on an external validation set is achieved, using only routinely collected variables. This makes these models ready for a clinical impact study. All our preprocessing and model code is available at https://gitlab.com/edebrouwer/ms_benchmark, making this task an ideal benchmark for predicting disability progression in MS.
Published: 2022

22. Confirmed disability progression as a marker of permanent disability in multiple sclerosis

Author: Sifat Sharmin, Francesca Bovis, Charles Malpas, Dana Horakova, Eva Kubala Havrdova, Guillermo Izquierdo, Sara Eichau, Maria Trojano, Alexandre Prat, Marc Girard, Pierre Duquette, Marco Onofrj, Alessandra Lugaresi, Francois Grand'Maison, Pierre Grammond, Patrizia Sola, Diana Ferraro, Murat Terzi, Oliver Gerlach, Raed Alroughani, Cavit Boz, Vahid Shaygannejad, Vincent van Pesch, Elisabetta Cartechini, Ludwig Kappos, Jeannette Lechner‐Scott, Roberto Bergamaschi, Recai Turkoglu, Claudio Solaro, Gerardo Iuliano, Franco Granella, Bart Van Wijmeersch, Daniele Spitaleri, Mark Slee, Pamela McCombe, Julie Prevost, Radek Ampapa, Serkan Ozakbas, Jose Luis Sanchez‐Menoyo, Aysun Soysal, Steve Vucic, Thor Petersen, Koen de Gans, Ernest Butler, Suzanne Hodgkinson, Youssef Sidhom, Riadh Gouider, Edgardo Cristiano, Tamara Castillo‐Triviño, Maria Laura Saladino, Michael Barnett, Fraser Moore, Csilla Rozsa, Bassem Yamout, Olga Skibina, Anneke van der Walt, Katherine Buzzard, Orla Gray, Stella Hughes, Angel Perez Sempere, Bhim Singhal, Yara Fragoso, Cameron Shaw, Allan Kermode, Bruce Taylor, Magdolna Simo, Neil Shuey, Talal Al‐Harbi, Richard Macdonell, Jose Andres Dominguez, Tunde Csepany, Carmen Adella Sirbu, Maria Pia Sormani, Helmut Butzkueven, Tomas Kalincik, UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, UCL - (SLuc) Service de biochimie médicale, UCL - (SLuc) Service de neurologie, Sirbu, Carmen Adella/0000-0002-1982-1066, Malpas, Charles/0000-0003-0534-3718, Sharmin, Sifat, Bovis, Francesca, Malpas, Charle, Horakova, Dana, Havrdova, Eva Kubala, Izquierdo, Guillermo, Eichau, Sara, Trojano, Maria, Prat, Alexandre, Girard, Marc, Duquette, Pierre, Onofrj, Marco, Lugaresi, Alessandra, Grand'Maison, Francoi, Grammond, Pierre, Sola, Patrizia, Ferraro, Diana, Terzi, Murat, Gerlach, Oliver, Alroughani, Raed, Boz, Cavit, Shaygannejad, Vahid, van Pesch, Vincent, Cartechini, Elisabetta, Kappos, Ludwig, Lechner-Scott, Jeannette, Bergamaschi, Roberto, Turkoglu, Recai, Solaro, Claudio, Iuliano, Gerardo, Granella, Franco, Van Wijmeersch, Bart, Spitaleri, Daniele, Slee, Mark, McCombe, Pamela, Prevost, Julie, Ampapa, Radek, Ozakbas, Serkan, Sanchez-Menoyo, Jose Lui, Soysal, Aysun, Vucic, Steve, Petersen, Thor, de Gans, Koen, Butler, Ernest, Hodgkinson, Suzanne, Sidhom, Youssef, Gouider, Riadh, Cristiano, Edgardo, Castillo-Triviño, Tamara, Saladino, Maria Laura, Barnett, Michael, Moore, Fraser, Rozsa, Csilla, Yamout, Bassem, Skibina, Olga, van der Walt, Anneke, Buzzard, Katherine, Gray, Orla, Hughes, Stella, Sempere, Angel Perez, Singhal, Bhim, Fragoso, Yara, Shaw, Cameron, Kermode, Allan, Taylor, Bruce, Simo, Magdolna, Shuey, Neil, Al-Harbi, Talal, Macdonell, Richard, Dominguez, Jose Andre, Csepany, Tunde, Sirbu, Carmen Adella, Sormani, Maria Pia, Butzkueven, Helmut, and Kalincik, Tomas
Subjects: Male, risk scoring, sustained disability progression, Multiple Sclerosis, CLARITY, clinical trial, functional system impairment, Cohort Studies, Disability Evaluation, Multiple Sclerosis, Relapsing-Remitting, Neurology, Disease Progression, Cladribine, Humans, Female, Neurology (clinical), Randomized Controlled Trials as Topic
Abstract: Background and purpose The prevention of disability over the long term is the main treatment goal in multiple sclerosis (MS); however, randomized clinical trials evaluate only short-term treatment effects on disability. This study aimed to define criteria for 6-month confirmed disability progression events of MS with a high probability of resulting in sustained long-term disability worsening. Methods In total, 14,802 6-month confirmed disability progression events were identified in 8741 patients from the global MSBase registry. For each 6-month confirmed progression event (13,321 in the development and 1481 in the validation cohort), a sustained progression score was calculated based on the demographic and clinical characteristics at the time of progression that were predictive of long-term disability worsening. The score was externally validated in the Cladribine Tablets Treating Multiple Sclerosis Orally (CLARITY) trial. Results The score was based on age, sex, MS phenotype, relapse activity, disability score and its change from baseline, number of affected functional system domains and worsening in six of the domains. In the internal validation cohort, a 61% lower chance of improvement was estimated with each unit increase in the score (hazard ratio 0.39, 95% confidence interval 0.29-0.52; discriminatory index 0.89). The proportions of progression events sustained at 5 years stratified by the score were 1: 72%; 2: 88%; 3: 94%; 4: 100%. The results of the CLARITY trial were confirmed for reduction of disability progression that was >88% likely to be sustained (events with score >1.5). Conclusions Clinicodemographic characteristics of 6-month confirmed disability progression events identify those at high risk of sustained long-term disability. This knowledge will allow future trials to better assess the effect of therapy on long-term disability accrual. NHMRC [1129189, 1157717, 1140766]; Merck; Biogen; Novartis; Roche; Bayer; Schering; Sanofi Genzyme; Teva Pharmaceutical Industries
Published: 2022

23. Safety and effectiveness of cladribine tablets for multiple sclerosis: Results from a single-center real-world cohort

Author: Sofie Aerts, Hamza Khan, Deborah Severijns, Veronica Popescu, Liesbet M. Peeters, and Bart Van Wijmeersch
Subjects: Neurology, Neurology (clinical), General Medicine
Published: 2023

24. Differential effects and discriminative validity of motor and cognitive tasks varying in difficulty on cognitive–motor interference in persons with multiple sclerosis

Author: Fanny Van Geel, Päivi Hämäläinen, Peter Feys, Karin Coninx, Alon Kalron, Mieke D'hooge, Joke Raats, Ilse Baert, Bart Van Wijmeersch, Xavier Giffroy, Renee Veldkamp, Andrea Tacchino, VELDKAMP, Renee, Kalron, Alon, BAERT, Ilse, Hamalainen, Paivi, Tacchino, Andrea, D'HOOGE, Mieke, GIFFROY, Xavier, VAN GEEL, Fanny, RAATS, Joke, CONINX, Karin, VAN WIJMEERSCH, Bart, and FEYS, Peter
Subjects: 030506 rehabilitation, Elementary cognitive task, Computer science, discriminative validity, Interference (wave propagation), Task (project management), Multiple sclerosis, walking, 03 medical and health sciences, Cognition, 0302 clinical medicine, Discriminative model, Task Performance and Analysis, cognitive-motor interference, dual tasking, task effects, medicine, Humans, Gait, Cognitive motor interference, medicine.disease, Differential effects, Neurology, Neurology (clinical), 0305 other medical science, 030217 neurology & neurosurgery, Cognitive psychology, Dual tasking
Abstract: Background: Cognitive–motor interference (CMI) has been well recognized in persons with multiple sclerosis (pwMS); however, there are limited data on effects of task difficulty. Objective: Examine (1) the effects of motor and cognitive tasks varying in difficulty on the magnitude of CMI and (2) the discriminative validity of CMI between pwMS and healthy controls (HC). Methods: Nine cognitive–motor dual-task (DT) conditions (combinations of three cognitive and three walking tasks) were examined. Outcome measures were DT-performance and dual-task cost (DTC) of gait parameters and correct answers. Task differences and overall group-effects were analysed by mixed model analysis, plus the Wilcoxon signed-rank tests or multivariate analysis of variances (MANOVAs), respectively. Results: Task effects were examined in 82 pwMS (Expanded Disability Status Scale (EDSS): 3.3 ± 1.0) and discriminative validity in a subsample (35 pwMS and 33 HC). Motor-DTC and DT-performance were affected by difficulty of both the cognitive task ( p Conclusion: CMI, and especially motor performance, is affected by difficulty of the DT. Although pwMS performed worse on the tasks than HC, none of the DT-conditions showed a discriminative DTC.
Published: 2021

25. Maintien de l’efficacité et de la tolérance d’ocrélizumab chez des patients atteints de SEP récurrente-rémittente avec réponse sous-optimale aux traitements de fond antérieurs : résultats des études CASTING et LIBERTO à 4 ans

Author: Celia Oreja-Guevara, Giancarlo Comi, Gary Cutter, Ilya Kister, Aksel Siva, Bart Van-Wijmeersch, and Patrick Vermersch
Subjects: Neurology, Neurology (clinical)
Published: 2023

26. Clinical manifestation and perceived symptoms of walking-related performance fatigability in persons with multiple sclerosis

Author: Peter Feys, Kyra Theunissen, Johan Van Nieuwenhoven, Cintia Ramari, Fanny Van Geel, Lousin Moumdjian, Hanne Bielen, Raf Meesen, Bart Van Wijmeersch, RS: NUTRIM - R3 - Respiratory & Age-related Health, and Nutrition and Movement Sciences
Subjects: Male, 030506 rehabilitation, medicine.medical_specialty, Multiple Sclerosis, Visual analogue scale, medicine.medical_treatment, Walk Test, Physical Therapy, Sports Therapy and Rehabilitation, Walking, clinical, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, PEOPLE, medicine, Humans, Spasticity, Fatigue, Balance (ability), Expanded Disability Status Scale, Rehabilitation, IMPORTANT DIFFERENCE, business.industry, Multiple sclerosis, Muscle weakness, Middle Aged, medicine.disease, BALANCE, fatigability, Female, medicine.symptom, 0305 other medical science, business, manifestation, 030217 neurology & neurosurgery, 6-MINUTE WALK, Balance problems
Abstract: Fatigue and walking difficulties are common impairments and activity limitations in persons with multiple sclerosis (PwMS). Walking fatigability (WF) can be measured by a Distance Walked Index and is defined as a decline in walking distance of 10% or more during the six-minute walking test (6MWT). However, the clinical manifestation and perceived symptoms related to fatigability are still not well documented. Forty-nine PwMS [Expanded Disability Status Scale (EDSS)
Published: 2021

27. Efficacité et tolérance de l’ocrelizumab (OCR) chez des patients atteints de sclérose en plaques récurrente-rémittente (SEP-RR) avec réponse sous-optimale aux traitements de fond (DMT) antérieurs : résultats intermédiaires de CASTING à 3 ans et LIBERTO à 1 an

Author: Vermersch, Patrick, primary, Bart Van, Wijmeersch, additional, Comi, Giancarlo, additional, Oreja-Guevara, Celia, additional, Jens, Wuerfel, additional, Buffels, Regine, additional, and Dirks, Petra, additional
Published: 2022
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28. 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

Author: Jens Wuerfel, Aksel Siva, Giancarlo Comi, Regine Buffels, Casting investigators, Thomas Kuenzel, Celia Oreja-Guevara, Patrick Vermersch, Bart Van Wijmeersch, Heinz Wiendl, Karen Kadner, Vermersch, Patrick, Oreja-Guevara, Celia, Siva, Aksel, VAN WIJMEERSCH, Bart, Wiendl, Heinz, Wuerfel, Jens, Buffels, Regine, Kadner, Karen, Kuenzel, Thomas, and Comi, Giancarlo
Subjects: medicine.medical_specialty, Multiple Sclerosis, Disease, Antibodies, Monoclonal, Humanized, Multiple Sclerosis, Relapsing-Remitting, Internal medicine, medicine, Clinical endpoint, disease activity, disease-modifying therapies, multiple sclerosis, Humans, In patient, Prospective Studies, ddc:610, Expanded Disability Status Scale, medicine.diagnostic_test, business.industry, Multiple sclerosis, Magnetic resonance imaging, ocrelizumab, relapsing-remitting multiple sclerosis, medicine.disease, Magnetic Resonance Imaging, Confidence interval, Neurology, Ocrelizumab, Neurology (clinical), business, medicine.drug
Abstract: European journal of neurology 29(3), 790-801 (2022). doi:10.1111/ene.15171, Published by Wiley-Blackwell, Oxford [u.a.]
Published: 2022
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29. Endocrine and multiple sclerosis outcomes in patients with autoimmune thyroid events in the alemtuzumab CARE-MS studies

Author: Colin M. Dayan, Beatriz Lecumberri, Ilaria Muller, Sashiananthan Ganesananthan, Samuel F. Hunter, Krzysztof W. Selmaj, Hans-Peter Hartung, Eva K. Havrdova, Christopher C. LaGanke, Tjalf Ziemssen, Bart Van Wijmeersch, Sven G. Meuth, David H. Margolin, Elizabeth M. Poole, Darren P. Baker, and Peter A. Senior
Subjects: Cellular and Molecular Neuroscience, Alemtuzumab, disease-modifying therapy, multiple sclerosis, thyroid, Graves’ disease, Hashimoto’s disease, Neurology (clinical), Settore MED/13 - Endocrinologia
Abstract: Background Alemtuzumab is an effective therapy for relapsing multiple sclerosis. Autoimmune thyroid events are a common adverse event. Objective Describe endocrine and multiple sclerosis outcomes over 6 years for alemtuzumab-treated relapsing multiple sclerosis patients in the phase 3 CARE-MS I, II, and extension studies who experienced adverse thyroid events. Methods Endocrine and multiple sclerosis outcomes were evaluated over 6 years. Thyroid event cases, excluding those pre-existing or occurring after Year 6, were adjudicated retrospectively by expert endocrinologists independently of the sponsor and investigators. Results Thyroid events were reported for 378/811 (46.6%) alemtuzumab-treated patients. Following adjudication, endocrinologists reached consensus on 286 cases (75.7%). Of these, 39.5% were adjudicated to Graves’ disease, 2.5% Hashimoto's disease switching to hyperthyroidism, 15.4% Hashimoto's disease, 4.9% Graves’ disease switching to hypothyroidism, 10.1% transient thyroiditis, and 27.6% with uncertain diagnosis; inclusion of anti-thyroid antibody status reduced the number of uncertain diagnoses. Multiple sclerosis outcomes of those with and without thyroid events were similar. Conclusion Adjudicated thyroid events occurring over 6 years for alemtuzumab-treated relapsing multiple sclerosis patients were primarily autoimmune. Thyroid events were considered manageable and did not affect disease course. Thyroid autoimmunity is a common but manageable adverse event in alemtuzumab-treated relapsing multiple sclerosis patients. ClinicalTrials.gov Registration Numbers: CARE-MS I (NCT00530348); CARE-MS II (NCT00548405); CARE-MS Extension (NCT00930553)
Published: 2023

30. Efficacy of alemtuzumab over 6 years in relapsing–remitting multiple sclerosis patients who relapsed between courses 1 and 2: Post hoc analysis of the CARE-MS studies

Author: Mark S. Freedman, Barry A Singer, Patrick Vermersch, Aaron Boster, Heinz Wiendl, Guillermo Izquierdo, Luke Chung, Oscar Fernandez, David Margolin, Tjalf Ziemssen, Bart Van Wijmeersch, Sibyl Wray, Simon Broadley, K. Thangavelu, Jan Lycke, Basil Sharrack, Brian Steingo, Carlo Pozzilli, Ziemssen, Tjalf/0000-0001-8799-8202, VAN WIJMEERSCH, Bart, Singer, Barry A., Boster, Aaron, Broadley, Simon, Fernandez, Oscar, Freedman, Mark S., Izquierdo, Guillermo, Lycke, Jan, Pozzilli, Carlo, Sharrack, Basil, Steingo, Brian, Wiendl, Heinz, Wray, Sibyl, Ziemssen, Tjalf, Chung, Luke, Margolin, David H., Thangavelu, Karthinathan, and Vermersch, Patrick
Subjects: medicine.medical_specialty, magnetic resonance imaging (MRI), Multiple Sclerosis, efficacy, Antibodies, Monoclonal, Humanized, relapsing–remitting multiple sclerosis (MS), 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, 0302 clinical medicine, Internal medicine, Post-hoc analysis, medicine, Humans, 030212 general & internal medicine, Alemtuzumab, disability, disease-modifying therapy, business.industry, Multiple sclerosis, relapsing-remitting multiple sclerosis (MS), medicine.disease, Neurology, Relapsing remitting, Neurology (clinical), business, Original Research Papers, Interferon beta-1a, 030217 neurology & neurosurgery, medicine.drug
Abstract: Background:Alemtuzumab is administered as two annual courses for relapsing-remitting multiple sclerosis (MS). Patients may relapse before completing the two-course regimen. Objective: The objective was to evaluate 6-year outcomes in patients who relapsed between alemtuzumab Courses 1 and 2 (early relapsers). Methods:Post hoc analysis of patients from the Comparison of Alemtuzumab and Rebif (R) Efficacy in Multiple Sclerosis (CARE-MS) studies who enrolled in the extension. Results:Early relapsers (CARE-MS I: 15%; CARE-MS II: 24%) had more relapses in 1-2 years pre-alemtuzumab and higher mean baseline Expanded Disability Status Scale score than patients without relapse. Their annualized relapse rate declined from Year 1 (CARE-MS I: 1.3; CARE-MS II: 1.2) to Year 2 following Course 2 (0.3; 0.5) and remained low thereafter. Over 6 years, 60% remained free of 6-month confirmed disability worsening; 24% (CARE-MS I) and 34% (CARE-MS II) achieved 6-month confirmed disability improvement. During Year 6, 69% (CARE-MS I) and 68% (CARE-MS II) were free of magnetic resonance imaging (MRI) disease activity. Median percent yearly brain volume loss (Year 1: -0.67% (CARE-MS I); -0.47% (CARE-MS II)) declined after Course 2 (Year 6: -0.24%; -0.13%). Conclusion: Early relapsers' outcomes improved after completing the second alemtuzumab course. These findings support administering the approved two-course regimen to maximize clinical benefit. ClinicalTrials.gov registration numbers:CARE-MS I, II, extension: NCT00530348, NCT00548405, NCT00930553. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The CARE-MS I, CARE-MS II, and CAMMS03409 studies were funded by Sanofi and Bayer HealthCare Pharmaceuticals. Only Sanofi contributed to the conduct of the studies; collection, management, analysis, and interpretation of the data; review of the manuscript. Apart from the Sanofi employees listed as authors, the funders had no role in preparation, approval, and decision to submit the manuscript for publication. Van Wijmeersch, B (reprint author), Hasselt Univ, Fac Med & Life Sci, Campus Hasselt,Martelarenlaan 42, B-3500 Hasselt, Belgium. bart.vanwijmeersch@uhasselt.be
Published: 2019

31. Ofatumumab versus Teriflunomide in Multiple Sclerosis

Author: Hauser S. L., Bar-Or A., Cohen J. A., Comi G., Correale J., Coyle P. K., Cross A. H., de Seze J., Leppert D., Montalban X., Selmaj K., Wiendl H., Kerloeguen C., Willi R., Li B., Kakarieka A., Tomic D., Goodyear A., Pingili R., Haring D. A., Ramanathan K., Merschhemke M., Kappos L., Stephen L Hauser, Ludwig Kappos, Amit Bar-Or, Jeffrey A Cohen, Giancarlo Comi, Jorge Correale, Patricia K Coyle, Anne Cross, Jerome de Seze, Xavier Montalban, Krzysztof Selmaj, Heinz Wiendl, Stephen C Reingold, Garry R Cutter, Thomas Doerner, Hans-Peter Hartung, Per Soelberg Sørensen, Israel Steiner, Jerry S Wolinsky, Carlos Ballario, Christian Calvo Vildoso, Jorge Gustavo Jose, Norma Haydee Deri, Susana Liwacki, Jeannette Lechner-Scott, John Parratt, Suzanne Hodgkinson, Eva-Maria Maida, Fritz Leutmezer, Barbara Willekens, Bart Van Wijmeersch, Guy Laureys, Jo Caekebeke, Karine Geens, Ludo Vanopdenbosch, Olivier Deryck, Valerie Delvaux, Vincent Van Pesch, Ivan Milanov, Ivaylo Tarnev, Lyubomir Haralanov, Maria Manova Slavova, Penko Shotekov, Francois Emond, Francois Grandmaison, Francois Jacques, Liesly Lee, Marie Sarah Gagne Brosseau, Mark Freedman, Martin Cloutier, Robert Carruthers, Sarah Morrow, Yves Lapierre, Anton Vladic, Hana Bokun, Igor Antoncic, Marija Bosnjak Pasic, Mario Habek, Silva Butkovic Soldo, Vladimira Vuletic, Alena Martinkova, Eva Meluzinova, Ivana Stetkarova, Jan Mares, Jolana Markova, Marta Vachova, Martin Valis, Michaela Tyblova, Michal Dufek, Ondrej Skoda, Pavel Hradilek, Ana Voldsgaard Jensen, Helle Hvilsted Nielsen, Kristina Svendsen, Mads Ravnborg, Peter Vestergaard Rasmussen, Katrin Gross-Paju, Sulev Haldre, Juha Pekka Eralinna, Marja-Liisa Sumelahti, Bruno Brochet, Celine Louapre, Christine Lebrun-Frenay, David Axel Laplaud, Gilles Edan, Giovanni Castelnovo, Marc Debouverie, Patrick Vermersch, Pierre Clavelou, Pierre Labauge, Achim Berthele, Aiden Haghikia, Anselm Kornhuber, Arnfin Bergmann, Benedikt Frank, Birte Elias-Hamp, Bjoern Tackenberg, Brigitte Wildemann, Erik Strauss, Eugen Schlegel, Florian Then Bergh, Gereon Nelles, Hayrettin Tumani, Karl-Otto Sigel, Martin Stangel, Matthias Boehringer, Olaf Martin Hoffmann, Patrick Oschmann, Reinhard Hohlfeld, Silke Walter, Sylvia Menck, Till Sprenger, Tjalf Ziemssen, Veit Ulrich Becker, Vera Straeten, Konstantinos Kilidireas, Konstantinos Voumvourakis, Nikolaos Fakas, Nikolaos Grigoriadis, Agnes Koves, Csilla Rozsa, Krisztina Kovacs, Laszlo Vecsei, Satori Maria, Zita Biro, Anshu Rohatgi, Dheeraj Khurana, Jeyaraj Durai Pandian, Joy Dev Mukherji, Lekha Pandit, Meena Angamuthu Kanikannan, Pahari Ghosh, Rahul Chakor, Rahul Kulkarni, Roopkumar Gursahani, Sangeeta Ravat, Srinivasa Rangasetty, Suresh Kumar, Alla Shifrin, Arnon Karni, Radi Shahien, Ron Milo, Antonio Uccelli, Carlo Pozzilli, Francesco Sacca, Giacomo Lus, Girolama Alessandra Marfia, Laura Brambilla, Marco Salvetti, Massimo Filippi, Mauro Zaffaroni, Paolo Gallo, Silvia Rossi, Simona Bonavita, Valeria Studer, Andrejs Millers, Guntis Karelis, Jolanta Kalnina, Dalia Mickeviciene, Rasa Kizlaitiene, Angelica Carbajal Ramirez, Juan Jose Lopez Prieto, Beatrijs Wokke, Bob W Van Oosten, Peter Van Domburg, Raymond Hupperts, Rogier Q Hintzen, Astrid Edland, Cesar Castaneda, Julio Perez, Martin Gavidia, Andrzej Wiak, Bartosz Karaszewski, Elzbieta Jasinska, Halina Bartosik Psujek, Iwona Jastrzebska, Jaroslaw Slawek, Maciej Maciejowski, Miroslaw Dziki, Monika Adamczyk Sowa, Robert Bonek, Waldemar Fryze, Ana Martins Da Silva, Angela Timoteo, Antonio Vasco Salgado, Carlos Capela, Carlos Veira, Filipe Correia, Joao Cerqueira, Joao De Sa, Livia De Sousa, Raquel Gouveia, Alina Sergeevna Agafina, Anna Naumovna Belova, Denis Viktorovich Sazonov, Dmitry Pokhabov, Ekaterina Igorevna Kairbekova, Elena Gennadievna Arefieva, Farit Axatovich Khabirov, Igor Vyacheslavovich Litvinenko, Igor Stolyarov, Irina Aleksandrovna Sokolova, Larisa Ivanovna Volkova, Maria Vafaevna Davydovskaya, Maria Nikolaevna Zaharova, Nadezhda Alekseevna Malkova, Natalia Agafonovna Totolyan, Nikolay Vasilievich Dorogov, Stella Anatolievna Sivertseva, Egon Kurca, Georgi Krastev, Miroslav Brozman, Peter Koleda, Peter Turcani, Peter Valkovic, Viera Hancinova, Vladimir Donath, Chris Retief, Michael Isaacs, Albert Saiz Hinarejos, Alfredo Rodriguez Antigüedad, Bonaventura Casanova Estruch, Celia Oreja-Guevara, Gemma Reig Rosello, Jose Carlos Alvarez Cermeño, Jose Martinez Rodriguez, Jose Meca Lallana, Juan Antonio Garcia Merino, Lucia Forero Diaz, Lucienne Costa Frossard Franca, Luis Querol Gutierrez, Lluis Ramio Torrenta, Pedro Serrano Castro, Rafael Arroyo Gonzalez, Sara Eichau Madueño, Sergio Martinez Yelamos, Tamara Castillo Trivino, Virgina Meca Lallana, Xaviere Montalban Gairin, Fredrik Piehl, Jan Lycke, Chiara Zecca, Tobias Derfuss, Thy-Sheng Lin, Somsak Tiamkao, Ayse Nur Yuceyar, Aysun Soysal, Belgin Petek Balci, Cavit Boz, Husnu Efendi, Murat Terzi, Serhan Sevim, Serkan Ozakbas, Andrew Gale, Ben Turner, David Barnes, David Paling, Eli Silber, James Overell, Matthew Craner, Aaron Carlson, Adam Wolff, Adaeze Onuoha, Adnan Subei, Ahmad Ata, Aimee Borazanci, Akram Dastagir, Alberto Vasquez, Alison Brooke Allen, Andrew P Keegan, Angel Carrasco, Angel R Chinea Martinez, Ann Bass, Annette Okai, April Erwin, Ariel Antezana-Antezana, Barbara Green, Bharathy E Sundaram, Bhupendra Khatri, Bhupesh Dihenia, Bogdan Gheorghiu, Brian Costell, Brian Steingo, Bruce L Hughes, Carrie M Hersh, Christopher Laganke, Christopher Luzzio, Corey Ford, Craig Edward Herrman, Craig Senzon, Cynthia Huffman, Daniel R Wynn, David D O Bear, David Lesch, David H Mattson, David Weisman, Deborah A Burke, Dennis W Dietrich, Deren Huang, Derrick Robertson, Djamchid Lotfi, Don Joseph Alfonso, Dusan Stefoski, Edward J Fox, Emily Pharr, Enrique Alvarez, Evanthia Bernitsas, Faria Amjad, Gabriel Pardo, Geoffrey Eubank, Gerald Mcintosh, Giles F Crowell, Hemanth Rao, J Michael Hemphill, Jack H Florin, Jacqueline Nicholas, James Napier, James Scott, Jason M Silversteen, Javier Vasallo, Jean-Raphael Schneider, Jeanette Wendt, Jeffrey Cohen, Jeffrey Gross, Jeffrey Groves, Jeffrey Kaplan, Jessica Stulc, Joanna A Cooper, John Foley, John Scagnelli, Jonathan C Calkwood, Jose Pizarro Otero, Jose Rafecas, Joshua Katz, Juliette S Saad, Katherine Standley, Keith Edwards, Kenneth Sharlin, Khurram Bashir, Kimberly Wagner, Kore Liow, Larry Lee Blankenship Jr, Laszlo Mate, Liliana Montoya, Lon D Lynn, Mark Agius, Mark Cascione, Mark Allan Goldstein, Mark Janicki, Martin R Bialow, Mary Denise Hughes, Matthew J Baker, Michelle Apperson, Michelle B Kuczma, M Mateo Paz Soldan, Mirela Cerghet, Nathaniel Robb Whaley, Paul K Winner, Pavle Repovic, Praful Kelkar, Romero Rekha Pillai, Ricardo Ayala, Richard Sater, Randall Trudell, Robert Fairborn Armstrong, Robert Thomas Nahouraii, Robert Naismith, Ronald S Murray, Samuel Hunter, Sara Qureshi, Sharon Lynch, Sibyl Wray, Silvia R Delgado, Stacy Donlon, Stanley Cohan, Stanya Smith, Stuart James Shafer, Susan Azalone, Susan Hibbs, Tamara A Miller, Thomas Giancarlo, Troy Desai, Varun K Saxena, Virginia Simnad, William David Honeycutt, William Logan, William E McElveen, William Wagner, University of California [San Francisco] (UCSF), University of California, Perelman School of Medicine, University of Pennsylvania [Philadelphia], Cleveland Clinic, IRCCS Ospedale San Raffaele [Milan, Italy], Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia [Buenos Aires] (FLENI), FLENI, Stony Brook University [SUNY] (SBU), State University of New York (SUNY), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, University Hospital Basel [Basel], Vall d'Hebron University Hospital [Barcelona], University of Warmia and Mazury [Olsztyn], University of Münster, Novartis Pharma S.A.S., Novartis Pharmaceuticals, University of Basel (Unibas), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), Willekens, Barbara, ASCLEPIOS I and ASCLEPIOS II Trial Groups, Hauser, S. L., Bar-Or, A., Cohen, J. A., Comi, G., Correale, J., Coyle, P. K., Cross, A. H., de Seze, J., Leppert, D., Montalban, X., Selmaj, K., Wiendl, H., Kerloeguen, C., Willi, R., Li, B., Kakarieka, A., Tomic, D., Goodyear, A., Pingili, R., Haring, D. A., Ramanathan, K., Merschhemke, M., Kappos, L., Asclepios, I and ASCLEPIOS II Trial Group, Filippi, M, L Hauser, Stephen, Kappos, Ludwig, Bar-Or, Amit, A Cohen, Jeffrey, Comi, Giancarlo, Correale, Jorge, K Coyle, Patricia, Cross, Anne, de Seze, Jerome, Montalban, Xavier, Selmaj, Krzysztof, Wiendl, Heinz, C Reingold, Stephen, R Cutter, Garry, Doerner, Thoma, Hartung, Hans-Peter, Soelberg Sørensen, Per, Steiner, Israel, S Wolinsky, Jerry, Ballario, Carlo, Calvo Vildoso, Christian, Gustavo Jose, Jorge, Haydee Deri, Norma, Liwacki, Susana, Lechner-Scott, Jeannette, Parratt, John, Hodgkinson, Suzanne, Maida, Eva-Maria, Leutmezer, Fritz, Van Wijmeersch, Bart, Laureys, Guy, Caekebeke, Jo, Geens, Karine, Vanopdenbosch, Ludo, Deryck, Olivier, Delvaux, Valerie, Van Pesch, Vincent, Milanov, Ivan, Tarnev, Ivaylo, Haralanov, Lyubomir, Manova Slavova, Maria, Shotekov, Penko, Emond, Francoi, Grandmaison, Francoi, Jacques, Francoi, Lee, Liesly, Sarah Gagne Brosseau, Marie, Freedman, Mark, Cloutier, Martin, Carruthers, Robert, Morrow, Sarah, Lapierre, Yve, Vladic, Anton, Bokun, Hana, Antoncic, Igor, Bosnjak Pasic, Marija, Habek, Mario, Butkovic Soldo, Silva, Vuletic, Vladimira, Martinkova, Alena, Meluzinova, Eva, Stetkarova, Ivana, Mares, Jan, Markova, Jolana, Vachova, Marta, Valis, Martin, Tyblova, Michaela, Dufek, Michal, Skoda, Ondrej, Hradilek, Pavel, Voldsgaard Jensen, Ana, Hvilsted Nielsen, Helle, Svendsen, Kristina, Ravnborg, Mad, Vestergaard Rasmussen, Peter, Gross-Paju, Katrin, Haldre, Sulev, Pekka Eralinna, Juha, Sumelahti, Marja-Liisa, Brochet, Bruno, Louapre, Celine, Lebrun-Frenay, Christine, Axel Laplaud, David, Edan, Gille, Castelnovo, Giovanni, Debouverie, Marc, Vermersch, Patrick, Clavelou, Pierre, Labauge, Pierre, Berthele, Achim, Haghikia, Aiden, Kornhuber, Anselm, Bergmann, Arnfin, Frank, Benedikt, Elias-Hamp, Birte, Tackenberg, Bjoern, Wildemann, Brigitte, Strauss, Erik, Schlegel, Eugen, Then Bergh, Florian, Nelles, Gereon, Tumani, Hayrettin, Sigel, Karl-Otto, Stangel, Martin, Boehringer, Matthia, Martin Hoffmann, Olaf, Oschmann, Patrick, Hohlfeld, Reinhard, Walter, Silke, Menck, Sylvia, Sprenger, Till, Ziemssen, Tjalf, Ulrich Becker, Veit, Straeten, Vera, Kilidireas, Konstantino, Voumvourakis, Konstantino, Fakas, Nikolao, Grigoriadis, Nikolao, Koves, Agne, Rozsa, Csilla, Kovacs, Krisztina, Vecsei, Laszlo, Maria, Satori, Biro, Zita, Rohatgi, Anshu, Khurana, Dheeraj, Durai Pandian, Jeyaraj, Dev Mukherji, Joy, Pandit, Lekha, Angamuthu Kanikannan, Meena, Ghosh, Pahari, Chakor, Rahul, Kulkarni, Rahul, Gursahani, Roopkumar, Ravat, Sangeeta, Rangasetty, Srinivasa, Kumar, Suresh, Shifrin, Alla, Karni, Arnon, Shahien, Radi, Milo, Ron, Uccelli, Antonio, Pozzilli, Carlo, Sacca, Francesco, Lus, Giacomo, Alessandra Marfia, Girolama, Brambilla, Laura, Salvetti, Marco, Filippi, Massimo, Zaffaroni, Mauro, Gallo, Paolo, Rossi, Silvia, Bonavita, Simona, Studer, Valeria, Millers, Andrej, Karelis, Gunti, Kalnina, Jolanta, Mickeviciene, Dalia, Kizlaitiene, 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Totolyan, Natalia, Vasilievich Dorogov, Nikolay, Anatolievna Sivertseva, Stella, Kurca, Egon, Krastev, Georgi, Brozman, Miroslav, Koleda, Peter, Turcani, Peter, Valkovic, Peter, Hancinova, Viera, Donath, Vladimir, Retief, Chri, Isaacs, Michael, Saiz Hinarejos, Albert, Rodriguez Antigüedad, Alfredo, Casanova Estruch, Bonaventura, Oreja-Guevara, Celia, Reig Rosello, Gemma, Carlos Alvarez Cermeño, Jose, Martinez Rodriguez, Jose, Meca Lallana, Jose, Antonio Garcia Merino, Juan, Forero Diaz, Lucia, Costa Frossard Franca, Lucienne, Querol Gutierrez, Lui, Ramio Torrenta, Llui, Serrano Castro, Pedro, Arroyo Gonzalez, Rafael, Eichau Madueño, Sara, Martinez Yelamos, Sergio, Castillo Trivino, Tamara, Meca Lallana, Virgina, Montalban Gairin, Xaviere, Piehl, Fredrik, Lycke, Jan, Zecca, Chiara, Derfuss, Tobia, Lin, Thy-Sheng, Tiamkao, Somsak, Nur Yuceyar, Ayse, Soysal, Aysun, Petek Balci, Belgin, Boz, Cavit, Efendi, Husnu, Terzi, Murat, Sevim, Serhan, Ozakbas, Serkan, Gale, Andrew, Turner, Ben, 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Hemphill, J, H Florin, Jack, Nicholas, Jacqueline, Napier, Jame, Scott, Jame, M Silversteen, Jason, Vasallo, Javier, Schneider, Jean-Raphael, Wendt, Jeanette, Cohen, Jeffrey, Gross, Jeffrey, Groves, Jeffrey, Kaplan, Jeffrey, Stulc, Jessica, A Cooper, Joanna, Foley, John, Scagnelli, John, C Calkwood, Jonathan, Pizarro Otero, Jose, Rafecas, Jose, Katz, Joshua, S Saad, Juliette, Standley, Katherine, Edwards, Keith, Sharlin, Kenneth, Bashir, Khurram, Wagner, Kimberly, Liow, Kore, Lee Blankenship Jr, Larry, Mate, Laszlo, Montoya, Liliana, D Lynn, Lon, Agius, Mark, Cascione, Mark, Allan Goldstein, Mark, Janicki, Mark, R Bialow, Martin, Denise Hughes, Mary, J Baker, Matthew, Apperson, Michelle, B Kuczma, Michelle, Mateo Paz Soldan, M, Cerghet, Mirela, Robb Whaley, Nathaniel, K Winner, Paul, Repovic, Pavle, Kelkar, Praful, Rekha Pillai, Romero, Ayala, Ricardo, Sater, Richard, Trudell, Randall, Fairborn Armstrong, Robert, Thomas Nahouraii, Robert, Naismith, Robert, S Murray, Ronald, Hunter, Samuel, Qureshi, Sara, Lynch, Sharon, Wray, Sibyl, R Delgado, Silvia, Donlon, Stacy, Cohan, Stanley, Smith, Stanya, James Shafer, Stuart, Azalone, Susan, Hibbs, Susan, A Miller, Tamara, Giancarlo, Thoma, Desai, Troy, K Saxena, Varun, Simnad, Virginia, David Honeycutt, William, Logan, William, E McElveen, William, Wagner, William, Stephen, L Hauser, Ludwig, Kappo, Amit, Bar-Or, Jeffrey, A Cohen, Giancarlo, Comi, Jorge, Correale, Patricia, K Coyle, Anne, Cro, Jerome de Seze, Xavier, Montalban, Krzysztof, Selmaj, Heinz, Wiendl, Stephen, C Reingold, Garry, R Cutter, Thomas, Doerner, Hans-Peter, Hartung, Per Soelberg Sørensen, Israel, Steiner, Jerry, S Wolinsky, Carlos, Ballario, Christian Calvo Vildoso, Jorge Gustavo Jose, Norma Haydee Deri, Susana, Liwacki, Jeannette, Lechner-Scott, John, Parratt, Suzanne, Hodgkinson, Eva-Maria, Maida, Fritz, Leutmezer, Barbara, Willeken, Bart Van Wijmeersch, Guy, Laurey, Karine, Geen, Ludo, Vanopdenbosch, Olivier, Deryck, Valerie, Delvaux, Vincent Van Pesch, Ivan, Milanov, Ivaylo, Tarnev, Lyubomir, Haralanov, Maria Manova Slavova, Penko, Shotekov, Francois, Emond, Francois, Grandmaison, Francois, Jacque, Liesly, Lee, Marie Sarah Gagne Brosseau, Mark, Freedman, Martin, Cloutier, Robert, Carruther, Sarah, Morrow, Yves, Lapierre, Anton, Vladic, Hana, Bokun, Igor, Antoncic, Marija Bosnjak Pasic, Mario, Habek, Silva Butkovic Soldo, Vladimira, Vuletic, Alena, Martinkova, Eva, Meluzinova, Ivana, Stetkarova, Jan, Mare, Jolana, Markova, Marta, Vachova, Martin, Vali, Michaela, Tyblova, Michal, Dufek, Ondrej, Skoda, Pavel, Hradilek, Ana Voldsgaard Jensen, Helle Hvilsted Nielsen, Kristina, Svendsen, Mads, Ravnborg, Peter Vestergaard Rasmussen, Katrin, Gross-Paju, Sulev, Haldre, Juha Pekka Eralinna, Marja-Liisa, Sumelahti, Bruno, Brochet, Celine, Louapre, Christine, Lebrun-Frenay, David Axel Laplaud, Gilles, Edan, Giovanni, Castelnovo, Marc, Debouverie, Patrick, Vermersch, Pierre, Clavelou, Pierre, Labauge, Achim, Berthele, Aiden, Haghikia, Anselm, Kornhuber, Arnfin, Bergmann, Benedikt, Frank, Birte, Elias-Hamp, Bjoern, Tackenberg, Brigitte, Wildemann, Erik, Strau, Eugen, Schlegel, Florian Then Bergh, Gereon, Nelle, Hayrettin, Tumani, Karl-Otto, Sigel, Martin, Stangel, Matthias, Boehringer, Olaf Martin Hoffmann, Patrick, Oschmann, Reinhard, Hohlfeld, Silke, Walter, Sylvia, Menck, Till, Sprenger, Tjalf, Ziemssen, Veit Ulrich Becker, Vera, Straeten, Konstantinos, Kilidirea, Konstantinos, Voumvouraki, Nikolaos, Faka, Nikolaos, Grigoriadi, Agnes, Kove, Csilla, Rozsa, Krisztina, Kovac, Laszlo, Vecsei, Satori, Maria, Zita, Biro, Anshu, Rohatgi, Dheeraj, Khurana, Jeyaraj Durai Pandian, Joy Dev Mukherji, Lekha, Pandit, Meena Angamuthu Kanikannan, Pahari, Ghosh, Rahul, Chakor, Rahul, Kulkarni, Roopkumar, Gursahani, Sangeeta, Ravat, Srinivasa, Rangasetty, Suresh, Kumar, Alla, Shifrin, Arnon, Karni, Radi, Shahien, Ron, Milo, Antonio, Uccelli, Carlo, Pozzilli, Sacca', Francesco, Giacomo, Lu, Girolama Alessandra Marfia, Laura, Brambilla, Marco, Salvetti, Massimo, Filippi, Mauro, Zaffaroni, Paolo, Gallo, Silvia, Rossi, Simona, Bonavita, Valeria, Studer, Andrejs, Miller, Guntis, Kareli, Jolanta, Kalnina, Dalia, Mickeviciene, Rasa, Kizlaitiene, Angelica Carbajal Ramirez, Juan Jose Lopez Prieto, Beatrijs, Wokke, Bob, W Van Oosten, Peter Van Domburg, Raymond, Huppert, Rogier, Q Hintzen, Astrid, Edland, Cesar, Castaneda, Julio, Perez, Martin, Gavidia, Andrzej, Wiak, Bartosz, Karaszewski, Elzbieta, Jasinska, Halina Bartosik Psujek, Iwona, Jastrzebska, Jaroslaw, Slawek, Maciej, Maciejowski, Miroslaw, Dziki, Monika Adamczyk Sowa, Robert, Bonek, Waldemar, Fryze, Ana Martins Da Silva, Angela, Timoteo, Antonio Vasco Salgado, Carlos, Capela, Carlos, Veira, Filipe, Correia, Joao, Cerqueira, Joao De Sa, Livia De Sousa, Raquel, Gouveia, Alina Sergeevna Agafina, Anna Naumovna Belova, Denis Viktorovich Sazonov, Dmitry, Pokhabov, Ekaterina Igorevna Kairbekova, Elena Gennadievna Arefieva, Farit Axatovich Khabirov, Igor Vyacheslavovich Litvinenko, Igor, Stolyarov, Irina Aleksandrovna Sokolova, Larisa Ivanovna Volkova, Maria Vafaevna Davydovskaya, Maria Nikolaevna Zaharova, Nadezhda Alekseevna Malkova, Natalia Agafonovna Totolyan, Nikolay Vasilievich Dorogov, Stella Anatolievna Sivertseva, Egon, Kurca, Georgi, Krastev, Miroslav, Brozman, Peter, Koleda, Peter, Turcani, Peter, Valkovic, Viera, Hancinova, Vladimir, Donath, Chris, Retief, Michael, Isaac, Albert Saiz Hinarejos, Alfredo Rodriguez Antigüedad, Bonaventura Casanova Estruch, Celia, Oreja-Guevara, Gemma Reig Rosello, Jose Carlos Alvarez Cermeño, Jose Martinez Rodriguez, Jose Meca Lallana, Juan Antonio Garcia Merino, Lucia Forero Diaz, Lucienne Costa Frossard Franca, Luis Querol Gutierrez, Lluis Ramio Torrenta, Pedro Serrano Castro, Rafael Arroyo Gonzalez, Sara Eichau Madueño, Sergio Martinez Yelamos, Tamara Castillo Trivino, Virgina Meca Lallana, Xaviere Montalban Gairin, Fredrik, Piehl, Jan, Lycke, Chiara, Zecca, Tobias, Derfu, Thy-Sheng, Lin, Somsak, Tiamkao, Ayse Nur Yuceyar, Aysun, Soysal, Belgin Petek Balci, Cavit, Boz, Husnu, Efendi, Murat, Terzi, Serhan, Sevim, Serkan, Ozakba, Andrew, Gale, Ben, Turner, David, Barne, David, Paling, Eli, Silber, James, Overell, Matthew, Craner, Aaron, Carlson, Adam, Wolff, Adaeze, Onuoha, Adnan, Subei, Ahmad, Ata, Aimee, Borazanci, Akram, Dastagir, Alberto, Vasquez, Alison Brooke Allen, Andrew, P Keegan, Angel, Carrasco, Angel, R Chinea Martinez, Ann, Ba, Annette, Okai, April, Erwin, Ariel, Antezana-Antezana, Barbara, Green, Bharathy, E Sundaram, Bhupendra, Khatri, Bhupesh, Dihenia, Bogdan, Gheorghiu, Brian, Costell, Brian, Steingo, Bruce, L Hughe, Carrie, M Hersh, Christopher, Laganke, Christopher, Luzzio, Corey, Ford, Craig Edward Herrman, Craig, Senzon, Cynthia, Huffman, Daniel, R Wynn, David D, O Bear, David, Lesch, David, H Mattson, David, Weisman, Deborah, A Burke, Dennis, W Dietrich, Deren, Huang, Derrick, Robertson, Djamchid, Lotfi, Don Joseph Alfonso, Dusan, Stefoski, Edward, J Fox, Emily, Pharr, Enrique, Alvarez, Evanthia, Bernitsa, Faria, Amjad, Gabriel, Pardo, Geoffrey, Eubank, Gerald, Mcintosh, Giles, F Crowell, Hemanth, Rao, J Michael Hemphill, Jack, H Florin, Jacqueline, Nichola, James, Napier, James, Scott, Jason, M Silversteen, Javier, Vasallo, Jean-Raphael, Schneider, Jeanette, Wendt, Jeffrey, Cohen, Jeffrey, Gro, Jeffrey, Grove, Jeffrey, Kaplan, Jessica, Stulc, Joanna, A Cooper, John, Foley, John, Scagnelli, Jonathan, C Calkwood, Jose Pizarro Otero, Jose, Rafeca, Joshua, Katz, Juliette, S Saad, Katherine, Standley, Keith, Edward, Kenneth, Sharlin, Khurram, Bashir, Kimberly, Wagner, Kore, Liow, Larry Lee Blankenship Jr, Laszlo, Mate, Liliana, Montoya, Lon, D Lynn, Mark, Agiu, Mark, Cascione, Mark Allan Goldstein, Mark, Janicki, Martin, R Bialow, Mary Denise Hughes, Matthew, J Baker, Michelle, Apperson, Michelle, B Kuczma, M Mateo Paz Soldan, Mirela, Cerghet, Nathaniel Robb Whaley, Paul, K Winner, Pavle, Repovic, Praful, Kelkar, Romero Rekha Pillai, Ricardo, Ayala, Richard, Sater, Randall, Trudell, Robert Fairborn Armstrong, Robert Thomas Nahouraii, Robert, Naismith, Ronald, S Murray, Samuel, Hunter, Sara, Qureshi, Sharon, Lynch, Sibyl, Wray, Silvia, R Delgado, Stacy, Donlon, Stanley, Cohan, Stanya, Smith, Stuart James Shafer, Susan, Azalone, Susan, Hibb, Tamara, A Miller, Thomas, Giancarlo, Troy, Desai, Varun, K Saxena, Virginia, Simnad, William David Honeycutt, William, Logan, William, E McElveen, William, Wagner, University of California [San Francisco] (UC San Francisco), University of California (UC), University of Pennsylvania, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Herrada, Anthony, and UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire
Subjects: Male, MESH: Multiple Sclerosis, Relapsing-Remitting, T-Lymphocytes, Hydroxybutyrates, Kaplan-Meier Estimate, 030204 cardiovascular system & hematology, Pharmacology, Relapsing-Remitting, MESH: Magnetic Resonance Imaging, chemistry.chemical_compound, 0302 clinical medicine, Teriflunomide, Monoclonal, MESH: Double-Blind Method, 030212 general & internal medicine, Humanized, MESH: Toluidines, B-Lymphocytes, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, biology, Subcutaneous, B-Lymphocyte, Brain, General Medicine, Magnetic Resonance Imaging, MESH: Crotonates, Crotonates, Pyrimidine metabolism, Disease Progression, Female, MESH: Disease Progression, Antibody, Human, Adult, Multiple Sclerosis, Toluidines, medicine.drug_class, Injections, Subcutaneous, Injections, Subcutaneou, Monoclonal antibody, Ofatumumab, Settore MED/26, Antibodies, Monoclonal, Humanized, Crotonate, Antibodies, Injections, 03 medical and health sciences, MESH: Brain, Multiple Sclerosis, Relapsing-Remitting, Double-Blind Method, MESH: B-Lymphocytes, Nitriles, medicine, Humans, MESH: Kaplan-Meier Estimate, MESH: Humans, business.industry, Multiple sclerosis, MESH: Injections, Subcutaneous, MESH: Adult, medicine.disease, MESH: Male, MESH: T-Lymphocytes, T-Lymphocyte, Multicenter study, chemistry, MESH: Antibodies, Monoclonal, Humanized, biology.protein, Human medicine, business, MESH: Female, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: International audience; Background: Ofatumumab, a subcutaneous anti-CD20 monoclonal antibody, selectively depletes B cells. Teriflunomide, an oral inhibitor of pyrimidine synthesis, reduces T-cell and B-cell activation. The relative effects of these two drugs in patients with multiple sclerosis are not known.Methods: In two double-blind, double-dummy, phase 3 trials, we randomly assigned patients with relapsing multiple sclerosis to receive subcutaneous ofatumumab (20 mg every 4 weeks after 20-mg loading doses at days 1, 7, and 14) or oral teriflunomide (14 mg daily) for up to 30 months. The primary end point was the annualized relapse rate. Secondary end points included disability worsening confirmed at 3 months or 6 months, disability improvement confirmed at 6 months, the number of gadolinium-enhancing lesions per T1-weighted magnetic resonance imaging (MRI) scan, the annualized rate of new or enlarging lesions on T2-weighted MRI, serum neurofilament light chain levels at month 3, and change in brain volume.Results: Overall, 946 patients were assigned to receive ofatumumab and 936 to receive teriflunomide; the median follow-up was 1.6 years. The annualized relapse rates in the ofatumumab and teriflunomide groups were 0.11 and 0.22, respectively, in trial 1 (difference, -0.11; 95% confidence interval [CI], -0.16 to -0.06; P
Published: 2020

32. Phenotypic and Ig Repertoire Analyses Indicate a Common Origin of IgD−CD27− Double Negative B Cells in Healthy Individuals and Multiple Sclerosis Patients

Author: Gwendoline Montes Diaz, Luisa M. Villar, Kazushiro Takata, Judith Fraussen, Susanna Marquez, Lien Beckers, Bart Van Wijmeersch, Chrysoula Zografou, Veerle Somers, Kevin C. O’Connor, and Steven H. Kleinstein
Subjects: education.field_of_study, biology, medicine.diagnostic_test, Immunology, Population, Naive B cell, Double negative, Somatic hypermutation, chemical and pharmacologic phenomena, Immunoglobulin D, Molecular biology, Flow cytometry, 03 medical and health sciences, 0302 clinical medicine, Immune system, biology.protein, medicine, Immunology and Allergy, CD5, education, 030215 immunology
Abstract: IgD−CD27− double negative (DN) B cells with proinflammatory characteristics are abnormally elevated in a proportion of multiple sclerosis (MS) patients. In this study, the origin and selection characteristics of DN B cells were studied in MS patients and healthy controls (HC). Expression of developmental markers on peripheral blood DN, IgD−CD27+ class-switched memory (CSM) and IgD+CD27− naive B cells of HC (n = 48) and MS patients (n = 96) was determined by flow cytometry. High-throughput adaptive immune receptor repertoire sequencing was performed on peripheral blood DN and CSM B cells of HC and MS patients (n = 3 each). DN B cells from HC and MS patients showed similar phenotypic and Ig repertoire characteristics. Phenotypic analysis indicated a mature state of DN B cells by low CD5, CD10, and CD38 expression. However, the frequency of CD95+ and IgA+ cells was lower in DN versus CSM B cells. DN B cells are Ag experienced, as shown by somatic hypermutation of their Ig genes in adaptive immune receptor repertoire sequencing, although they showed a lower mutation load than CSM B cells. Shared clones were found between DN and CSM B cells, although >95% of the clones were unique to each population, and differences in V(D)J usage and CDR3 physicochemical properties were found. Thus, DN B cells arise in HC and MS patients via a common developmental pathway that is probably linked to immune aging. However, DN and CSM B cells develop through unique differentiation pathways, with most DN B cells representing an earlier maturation state.
Published: 2019

33. Effect of Multiple Sclerosis on Daily Activities, Emotional Well-being, and Relationships

Author: Colin P. Mitchell, Kersten Sharrock, Lori Mayer, Ann D Bass, Barry A Singer, Matt Mandel, Bart Van Wijmeersch, Aaron Boster, and Mathias Mäurer
Subjects: Advanced and Specialized Nursing, Gerontology, Weakness, Activities of daily living, business.industry, Multiple sclerosis, Disease, medicine.disease, Memory problems, Emotional well-being, 03 medical and health sciences, 0302 clinical medicine, Well-being, medicine, 030212 general & internal medicine, Neurology (clinical), medicine.symptom, business, 030217 neurology & neurosurgery, Balance (ability)
Abstract: Background: The vsMS survey was conducted to better understand the negative effects of fatigue, cognitive impairment, emotional burden, and decreased physical functioning on the personal, professional, and social lives of individuals with multiple sclerosis (MS). Methods: The vsMS survey was an online survey conducted in Australia, Canada, France, Italy, Spain, the United Kingdom, and the United States that assessed the impact of MS on individuals’ daily activities, emotional well-being, relationships, and employment. Results: The survey included 1075 participants with relapsing-remitting MS. Almost 42% of participants reported that their ability to perform and manage daily activities had worsened during the previous 2 years. More than 50% reported limitations in daily activities due to fatigue, physical weakness, problems with balance/coordination, heat/cold sensitivity, memory problems, numbness/tingling, trouble concentrating, impaired movement/muscle stiffness, and impaired sleeping. Participants also reported a negative effect on emotional and social factors, including self-esteem, general outlook, well-being, maintaining/starting relationships, ability to progress in their career/keep their job, and ability to cope with life roles. Conclusions: These data highlight the importance of addressing the impact of MS and the social and emotional disease burdens on daily activities when planning the care of patients with MS.
Published: 2019

34. Multidisciplinary data infrastructures in multiple sclerosis: Why they are needed and can be done!

Author: Veronica Popescu, Caspar E. P. van Munster, Ilse Lamers, Robin Bruyndonckx, Bart Van Wijmeersch, Peter Feys, Christoph Thalheim, Niels Hellings, Liesbet M. Peeters, Neurology, and Amsterdam Neuroscience - Neuroinfection & -inflammation
Subjects: medicine.medical_specialty, Multiple Sclerosis, business.industry, Multiple sclerosis, Data management, Interdisciplinary Research, Personalized treatment, Outcome measures, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Neurology, Multidisciplinary approach, Humans, Medicine, Patient Reported Outcome Measures, Registries, Human medicine, 030212 general & internal medicine, Neurology (clinical), Personalized medicine, Precision Medicine, business, Intensive care medicine, 030217 neurology & neurosurgery
Abstract: Personalized treatment is highly desirable in multiple sclerosis (MS). We believe that multidisciplinary measurements including clinical, functional and patient-reported outcome measures in combination with extensive patient profiling can enhance personalized treatment and rehabilitation strategies. We elaborate on four reasons behind this statement: (1) MS disease activity and progression are complex and multidimensional concepts in nature and thereby defy a one-size-fits-all description, (2) functioning, progression, treatment, and rehabilitation effects are interdependent and should be investigated together, (3) personalized healthcare is based on the dynamics of system biology and on technology that confirms a patient’s fundamental biology and (4) inclusion of patient-reported outcome measures can facilitate patient-relevant healthcare. We discuss currently available multidisciplinary MS data initiatives and introduce joint actions to further increase the overall success. With this topical review, we hope to drive the MS community to invest in expanding towards more multidisciplinary and longitudinal data collection.
Published: 2019

35. Immune thrombocytopenia in alemtuzumab-treated MS patients: Incidence, detection, and management

Author: Adam Cuker, Christopher LaGanke, Congor Nadj, Alexandre Guerreiro, Sven G. Meuth, Brian Steingo, Bart Van Wijmeersch, Karthinathan Thangavelu, Mark A Agius, Krzysztof Selmaj, Timothy Thoits, Claudio E Rodriguez, David Margolin, Ann Jannsens, Tjalf Ziemssen, Darren P Baker, and Ann D Bass
Subjects: Male, AUTOIMMUNITY, CHILDREN, 030204 cardiovascular system & hematology, DISEASE, 0302 clinical medicine, hemic and lymphatic diseases, Medicine, Alemtuzumab, Incidence, Incidence (epidemiology), Middle Aged, disease-modifying therapy, immune thrombocytopenia, Neurology, Female, 5-YEAR FOLLOW-UP, DEPLETION, Life Sciences & Biomedicine, Interferon beta-1a, medicine.drug, Adult, safety, PURPURA, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Clinical Neurology, relapsing-remitting multiple sclerosis, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, Humans, Immunologic Factors, Purpura, Thrombocytopenic, Idiopathic, Science & Technology, business.industry, Multiple sclerosis, Neurosciences, STANDARDIZATION, medicine.disease, Immune thrombocytopenia, REMITTING MULTIPLE-SCLEROSIS, Immunology, Neurosciences & Neurology, Neurology (clinical), business, Original Research Papers, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Background: Alemtuzumab is a highly effective therapy for relapsing-remitting multiple sclerosis (RRMS), and immune thrombocytopenia (ITP) has been identified as a risk. Objective: To examine ITP incidence, treatment, and outcomes during the clinical development of alemtuzumab for RRMS and discuss postmarketing experience outside clinical trials. Methods: CAMMS223 and Comparison of Alemtuzumab and Rebif® Efficacy in Multiple Sclerosis (CARE-MS) I and II investigated two annual courses of alemtuzumab 12 mg (or 24 mg in CAMMS223/CARE-MS II) versus subcutaneous interferon beta-1a three times per week. Patients completing core studies could enroll in an extension. Monthly monitoring for ITP continued until 48 months after the last alemtuzumab infusion. Results: Of 1485 alemtuzumab-treated MS patients in the clinical development program, 33 (2.2%) developed ITP (alemtuzumab 12 mg, 24 [2.0%]; alemtuzumab 24 mg, 9 [3.3%]) over median 6.1 years of follow-up after the first infusion; most had a sustained response to first-line ITP therapy with corticosteroids, platelets, and/or intravenous immunoglobulin. All cases occurred within 48 months of the last alemtuzumab infusion. Postmarketing surveillance data suggest that the ITP incidence is not higher in clinical practice than in clinical trials. Conclusion: Alemtuzumab-associated ITP occurs in approximately 2% of patients and is responsive to therapy. Careful monitoring is key for detection and favorable outcomes.
Published: 2019

36. Walking endurance and perceived symptom severity after a single maximal exercise test in persons with mild disability because of multiple sclerosis

Author: Inez Wens, Peter Feys, Florian Van Halewyck, Bart Van Wijmeersch, Paul Van Asch, Fanny Van Geel, Lousin Moumdjian, Elisa Gervasoni, and Bert O. Eijnde
Subjects: Adult, Male, 030506 rehabilitation, medicine.medical_specialty, Multiple Sclerosis, Visual Analog Scale, Visual analogue scale, media_common.quotation_subject, Population, MEDLINE, Physical Therapy, Sports Therapy and Rehabilitation, Walking, Disability Evaluation, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Perception, medicine, Humans, Young adult, education, Gait, media_common, education.field_of_study, business.industry, Multiple sclerosis, Rehabilitation, Middle Aged, medicine.disease, Muscle Fatigue, Exercise Test, Physical Endurance, Female, Observational study, Human medicine, Maximal exercise, 0305 other medical science, business, 030217 neurology & neurosurgery
Abstract: People with multiple sclerosis (PwMS) are less physically active compared with the general population. This might also be because of the perception of temporary worsening of symptoms during physical activity. Forty-two PwMS with a mild level of disability underwent a maximal exercise test on a bicycle ergometer. Fifteen minutes before and 15 and 75min after the maximal exercise test, the 6-minute walking test was conducted and the rate of perceived exertion was recorded. Twice before and three times after the maximal exercise test, participants rated the symptom inventory, including symptom domains of general fatigue, muscle fatigue, balance, gait pattern, muscle weakness, spasticity, pain, sensory disturbance, dizziness, and visual impairment. The visual analogue scale was used to rate the perceived symptoms from 0 (no intensity) to 10 (maximal intensity). The 6-minute walking test distance increased significantly over time, whereas the rate of perceived exertion increased temporarily after the maximal exercise test. Immediately after the maximal exercise test, significant temporary increases were found in balance, gait pattern, muscle weakness, and visual impairment. General and muscle fatigue were elevated, compared with the baseline, till 15 and 75min after the maximal exercise test, respectively. A short-term impact of a single maximal exercise test was considered as the temporary worsening of perceived symptoms, especially (muscle) fatigue and the gait pattern, in PwMS with a mild level of disability. However, a recovery was observed after 75min. Walking endurance was not affected by the maximal exercise test.
Published: 2018

37. Motor evoked potentials for multiple sclerosis, a multiyear follow-up dataset

Author: Jan Yperman, Veronica Popescu, Bart Van Wijmeersch, Thijs Becker, and Liesbet M. Peeters
Subjects: Statistics and Probability, Multiple Sclerosis, Humans, Library and Information Sciences, Statistics, Probability and Uncertainty, Evoked Potentials, Motor, Computer Science Applications, Education, Information Systems, Follow-Up Studies
Abstract: Multiple sclerosis (MS) is a chronic disease affecting millions of people worldwide. Through the demyelinating and axonal pathology of MS, the signal conduction in the central nervous system is affected. Evoked potential measurements allow clinicians to monitor this process and can be used for decision support. We share a dataset that contains motor evoked potential (MEP) measurements, in which the brain is stimulated and the resulting signal is measured in the hands and feet. This results in time series of 100 milliseconds long. Typically, both hands and feet are measured in one hospital visit. The dataset contains 5586 visits of 963 patients, performed in day-to-day clinical care over a period of 6 years. The dataset consists of approximately 100,000 MEP. Clinical metadata such as the expanded disability status scale, sex, and age is also available. This dataset can be used to explore the role of evoked potentials in MS research and patient care. It may also be used as a benchmark for time series analysis and predictive modelling. Te authors would like to thank the personnel working at the MS clinic for their help while collecting the data. In particular, we would like to thank Henny Strackx for his help with extracting the data from the local servers, Daisy Mobers for her input on how the measurements were performed, and Filip Van Elsen for his input on the technical aspects of the measurement devices used. Furthermore, we thank Patricia Tielens, Dieter Flament, An Voets, Jorina Nickmans and Benny Daems for their legal counsel and Wim Lamotte for answering our questions about the security measures that had to be taken for data transfer. Finally, we thank P95 for their work in assessing the re-identifcation risk of the dataset. Te computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government - department EWI. Tis research received funding from the Flemish Government under the “Onderzoeksprogramma Artifciële Intelligentie (AI) Vlaanderen” programme. This work was supported by Research Foundation—Flanders (FWO) for ELIXIR Belgium (I002819N), and Hermesfonds for ELIXIR Belgium (AH.2017.051, IO 17001306).
Published: 2021

38. The effectiveness of natalizumab vs fingolimod–A comparison of international registry studies

Author: Alexis Montcuquet, Henrik Kahr Mathiesen, Tomas Kalincik, Marc Girard, Karolina Hankiewicz, Marco Onofrj, Francois Grand Maison, Raed Alroughani, Mathilde Lefort, Olivier Gout, Jeannette Lechner-Scott, Marc Debouverie, Julie Prevost, Eva Havrdova, Olivier Casez, Per Soelberg Sørensen, Pierre Duquette, Jean Pelletier, Claudio Solaro, Alessandra Lugaresi, Francesco Patti, Emmanuelle Leray, Johanna Balslev Andersen, Bassem Yamout, Céline Labeyrie, Karen Schreiber, Eric Thouvenot, Nils Koch-Henriksen, Michael Broksgaard Jensen, Elisabeth Maillart, Chantal Nifle, Stephan Bramow, Pierre Clavelou, Bruno Stankoff, Olivier Heinzlef, Finn Sellebjerg, Abir Wahab, Mark Slee, Gilles Defer, Pierre Labauge, Melinda Magyari, Steve Vucic, Guillermo Izquierdo, Helmut Butzkueven, Peter Vestergaard Rasmussen, Bertrand Bourre, Maria Trojano, Franco Granella, Corinne Pottier, Jette L. Frederiksen, Olga Skibina, Recai Turkoglu, Ivania Patry, Pierre Grammond, Bart Van Wijmeersch, Eric Berger, Aurélie Ruet, Serkan Ozakbas, Jonathan Ciron, Tünde Csépány, Jean Philippe Camdessanche, Sandra Vukusic, Nicolas Maubeuge, David Laplaud, Cavit Boz, Christine Lebrun, Claudia C. Hilt Christensen, Patrizia Sola, Vahid Shaygannejad, Romain Casey, Murat Terzi, Philippe Cabre, Jérôme De Seze, Abdullatif Al-Khedr, Dana Horakova, Pamela A. McCombe, Daniele Spitaleri, Alexandre Prat, Gilles Edan, Hélène Zéphir, Aude Marousset, Sifat Sharmin, Diana Ferraro, Sara Eichau, Rana Karabudak, Thibault Moreau, Sellebjerg, Finn/0000-0002-1333-9623, Lugaresi, Alessandra/0000-0003-2902-5589, frederiksen, jette/0000-0003-1661-7438, Ciron, Jonathan/0000-0002-3386-6308, University of Copenhagen = Københavns Universitet (KU), University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Aarhus University Hospital, Rigshospitalet [Copenhagen], Copenhagen University Hospital, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre d’Investigation Clinique de Nantes (CIC Nantes), Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Nantes (CHU Nantes), Centre hospitalier universitaire de Nantes (CHU Nantes), The MSBase Foundation is a not-for-profit organization that receives support from Biogen, Novartis, Merck, Roche, Teva and Sanofi Genzyme. The study was conducted separately and apart from the guidance of the sponsors. CORe received funding from NHMRC [1140766, 1129789, 1157717] to support studies of comparative effectiveness of MS therapies.OFSEP was supported by a grant provided by the French State and handled by the 'Agence Nationale de la Recherche,' within the framework of the 'Investments for the Future' program, under the reference ANR-10-COHO-002, by the Eugène Devic EDMUS Foundation against multiple sclerosis and by the ARSEP Foundation.DMSR did not receive any funding to collaborate in this study., ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Andersen J.B., Sharmin S., Lefort M., Koch-Henriksen N., Sellebjerg F., Sorensen P.S., Hilt Christensen C.C., Rasmussen P.V., Jensen M.B., Frederiksen J.L., Bramow S., Mathiesen H.K., Schreiber K.I., Horakova D., Havrdova E.K., Alroughani R., Izquierdo G., Eichau S., Ozakbas S., Patti F., Onofrj M., Lugaresi A., Terzi M., Grammond P., Grand Maison F., Yamout B., Prat A., Girard M., Duquette P., Boz C., Trojano M., McCombe P., Slee M., Lechner-Scott J., Turkoglu R., Sola P., Ferraro D., Granella F., Shaygannejad V., Prevost J., Skibina O., Solaro C., Karabudak R., Wijmeersch B.V., Csepany T., Spitaleri D., Vucic S., Casey R., Debouverie M., Edan G., Ciron J., Ruet A., Seze J.D., Maillart E., Zephir H., Labauge P., Defer G., Lebrun C., Moreau T., Berger E., Clavelou P., Pelletier J., Stankoff B., Gout O., Thouvenot E., Heinzlef O., Al-Khedr A., Bourre B., Casez O., Cabre P., Montcuquet A., Wahab A., Camdessanche J.-P., Marousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Leray E., Laplaud D.A., Butzkueven H., Kalincik T., Vukusic S., Magyari M., University of Copenhagen = Københavns Universitet (UCPH), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), CHU Bordeaux [Bordeaux], CHU Strasbourg, CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre Hospitalier Universitaire de Nice (CHU Nice), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), CHU Clermont-Ferrand, Hôpital de la Timone [CHU - APHM] (TIMONE), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], CHU Amiens-Picardie, CHU Rouen, Normandie Université (NU), Centre Hospitalier Universitaire [Grenoble] (CHU), CHU de la Martinique [Fort de France], CHU Limoges, Hôpital Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), CHU Trousseau [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier de Saint-Denis [Ile-de-France], Centre hospitalier universitaire de Poitiers (CHU Poitiers), AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), and Centre Hospitalier de Versailles André Mignot (CHV)
Subjects: medicine.medical_specialty, Fingolimod, Head-to-head comparison, Multiple sclerosis, Natalizumab, Treatment effectiveness, [SDV]Life Sciences [q-bio], Relapse rate, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, 0302 clinical medicine, Internal medicine, Fingolimod Hydrochloride, Epidemiology, Humans, Medicine, Multiple sclerosi, Registries, 030212 general & internal medicine, business.industry, Hazard ratio, General Medicine, medicine.disease, 3. Good health, First relapse, Treatment Outcome, Neurology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), business, Immunosuppressive Agents, 030217 neurology & neurosurgery, medicine.drug
Abstract: Background: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening. Methods: By re-analyzing original published results from MSBase, France, and Denmark using uniform meth-odologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/ exclusion criteria and statistical methods with Inverse Probability Treatment Weighting. Results: The pooled analyses comprised 968 natalizumab-and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod. Conclusion: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed. BiogenBiogen; NovartisNovartis; MerckMerck & Company; RocheRoche Holding; Teva; Sanofi GenzymeSanofi-AventisGenzyme Corporation; NHMRCNational Health and Medical Research Council of Australia [1140766,1129789, 1157717]; French State; Agence Nationale de la Recherche-French National Research Agency (ANR)European Commission [ANR-10-COHO-002]; Eugene Devic EDMUS Foundation; ARSEP Foundation
Published: 2021

39. Determinants of therapeutic lag in multiple sclerosis

Author: Tomas Kalincik, Marc Girard, Corinne Pottier, Murat Terzi, Jean Pelletier, Oliver Gerlach, Julie Prevost, Dana Horakova, Francois Grand'Maison, Raed Alroughani, Guillermo Izquierdo, Francesco Patti, Federico Frascoli, Maria Trojano, Franco Granella, Pamela A. McCombe, Charles B Malpas, Recai Turkoglu, Aurélie Ruet, Jonathan Ciron, Tünde Csépány, Nicolas Maubeuge, Helmut Butzkueven, Pierre Clavelou, Tamara Castillo Trivino, Marco Onofrj, Jean Philippe Camdessanche, Pierre Labauge, Vincent Van Pesch, Pierre Grammond, Abir Wahab, Roberto Bergamaschi, Aysun Soysal, Diana Ferraro, Bertrand Bourre, Olivier Gout, Jeannette Lechner-Scott, Sara Eichau, Emmanuelle Leray, Alexis Montcuquet, Pierre Duquette, Olivier Casez, Youssef Sidhom, Patrizia Sola, Bart Van Wijmeersch, Izanne Roos, Gilles Edan, Serkan Ozakbas, David Laplaud, Sandra Vukusic, Abdullatif Al Khedr, Céline Labeyrie, Philippe Cabre, Eric Thouvenot, Céline Louapre, Romain Casey, Alessandra Lugaresi, Riadh Gouider, Alasdair Coles, Eric Berger, Ivania Patry, Gerardo Iuliano, Elisabetta Cartechini, Cavit Boz, Karolina Hankiewicz, Eva Havrdova, Eduardo Aguera-Morales, J William L Brown, Jérôme De Seze, Bruno Stankoff, Olivier Heinzlef, Gilles Defer, Alexandre Prat, Chantal Nifle, Maria José Sá, Marc Debouverie, Daniele Spitaleri, Aude Maurousset, Thibault Moreau, Christine Lebrun-Frenay, Hélène Zéphir, University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Collectif de recherche handicap, autonomie et société inclusive (CoRHASI), Swinburne University of Technology [Melbourne], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), Charles University [Prague], Università degli studi di Catania [Catania], Università degli studi 'G. d'Annunzio' Chieti-Pescara [Chieti-Pescara] (Ud'A), Università degli Studi di Modena e Reggio Emilia (UNIMORE), University of Queensland [Brisbane], Monash University [Clayton], UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, UCL - (SLuc) Service de biochimie médicale, UCL - (SLuc) Service de neurologie, Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Charles University [Prague] (CU), Adaptation, mesure et évaluation en santé. Approches interdisciplinaires (APEMAC), Université de Lorraine (UL), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), University of Bari Aldo Moro (UNIBA), University of Catania [Italy], Hospital Virgen Macarena, Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), CHU Toulouse [Toulouse], INSERM, Neurocentre Magendie, U1215, Physiopathologie de la Plasticité Neuronale, F-33000 Bordeaux, France, CIC Bordeaux, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Lille, Fernando Pessoa University, Azienda Ospedaleria Universitaria di Modena, CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre Hospitalier Universitaire de Nice (CHU Nice), Karadeniz Technical University (KTU), Università degli Studi di Macerata = University of Macerata (UNIMC), CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Centre hospitalier universitaire de Nantes (CHU Nantes), University of Newcastle [Australia] (UoN), Zuyderland Hospital [Heerlen, The Netherlands], Ondokuz Mayis University, University of Parma = Università degli studi di Parma [Parme, Italie], Amiri hospital, University of Salerno (UNISA), Université Catholique de Louvain = Catholic University of Louvain (UCL), Hasselt University (UHasselt), San Giuseppe Moscati Hospital [Avellino, Italie], Bakirkoy Matern & Childrens State Hosp, Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Universidad de Córdoba [Cordoba], Hospital Donostia, CHU Clermont-Ferrand, Hôpital de la Timone [CHU - APHM] (TIMONE), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), CHI Poissy-Saint-Germain, Université de la Manouba [Tunisie] (UMA), University of Debrecen, Hôpital Charles Nicolle [Rouen], CHU Amiens-Picardie, CHU de la Martinique [Fort de France], CHU Limoges, CHU Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Centre Hospitalier Sud Francilien, CH Evry-Corbeil, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre Hospitalier René Dubos [Pontoise], This study was supported by the EDMUS Foundation and NHMRC [1140766,1129189, 1157717]. IR is supported by a MSIF-ARSEP McDonald fellowship grantand a Melbourne Research Scholarship. The MSBase Foundation is a not-for-profitorganization that receives support from Biogen, Novartis, Merck, Roche, Teva andSanofi Genzyme. The study was conducted separately and apart from the guidanceof the sponsors. The Observatoire Français de la Sclérose en Plaques (OFSEP) issupported by a grant provided by the French State and handled by the 'AgenceNationale de la Recherche,' within the framework of the 'Investments for the Future'program, under the reference ANR-10-COHO-002, by the Eugène Devic EDMUSFoundation against multiple sclerosis and by the ARSEP Foundation., ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Roos I., Leray E., Frascoli F., Casey R., Brown J.W.L., Horakova D., Havrdova E.K., Debouverie M., Trojano M., Patti F., Izquierdo G., Eichau S., Edan G., Prat A., Girard M., Duquette P., Onofrj M., Lugaresi A., Grammond P., Ciron J., Ruet A., Ozakbas S., De Seze J., Louapre C., Zephir H., Sa M.J., Sola P., Ferraro D., Labauge P., Defer G., Bergamaschi R., Lebrun-Frenay C., Boz C., Cartechini E., Moreau T., Laplaud D., Lechner-Scott J., Grand'Maison F., Gerlach O., Terzi M., Granella F., Alroughani R., Iuliano G., Van Pesch V., Van Wijmeersch B., Spitaleri D.L.A., Soysal A., Berger E., Prevost J., Aguera-Morales E., McCombe P., Castillo Trivino T., Clavelou P., Pelletier J., Turkoglu R., Stankoff B., Gout O., Thouvenot E., Heinzlef O., Sidhom Y., Gouider R., Csepany T., Bourre B., Al Khedr A., Casez O., Cabre P., Montcuquet A., Wahab A., Camdessanche J.-P., Maurousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Coles A., Malpas C.B., Vukusic S., Butzkueven H., Kalincik T., Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Università degli studi di Catania = University of Catania (Unict), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), University of Newcastle [Callaghan, Australia] (UoN), Ondokuz Mayis University (OMU), Università degli studi di Parma = University of Parma (UNIPR), Universidad de Córdoba = University of Córdoba [Córdoba], University of Debrecen Egyetem [Debrecen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), CHU Henri Mondor [Créteil], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Registrie, Male, medicine.medical_specialty, Treatment response, Pediatrics, Neurology, Lag, [SDV]Life Sciences [q-bio], Aucun, multiple sclerosis, 03 medical and health sciences, Disability Evaluation, 0302 clinical medicine, Multiple Sclerosis, Relapsing-Remitting, Recurrence, medicine, Humans, Treatment effect, Disabled Persons, Registries, 030304 developmental biology, 0303 health sciences, business.industry, Multiple sclerosis, Delayed onset, medicine.disease, 3. Good health, Clinical neurology, therapeutic lag, multiple sclerosi, Disease Progression, Disabled Person, Observational study, Female, observational study, Neurology (clinical), business, 030217 neurology & neurosurgery, Human
Abstract: International audience; Objective: To explore the associations of patient and disease characteristics with the duration of therapeutic lag for relapses and disability progression.Background: Therapeutic lag represents the delay from initiation of therapy to attainment of full treatment effect. Understanding the determinants of therapeutic lag provides valuable information for personalised choice of therapy in multiple sclerosis (MS).Design/Methods: Data from MSBase, a multinational MS registry, and OFSEP, the French national registry, were used. Patients diagnosed with MS, minimum 1-year exposure to MS treatment, minimum 3-year pre-treatment follow up and yearly review were included in the analysis. By studying incidence of relapses and 6-month confirmed disability progression, the duration of therapeutic lag was calculated by identifying the first local minimum of the first derivative after treatment start in subgroups stratified by patient and disease characteristics. Pairwise analyses of univariate predictors were performed. Combinations of determinants that consistently drove differences in therapeutic lag in pair by pair analyses were included in the final model.Results: Baseline EDSS, ARR and sex were associated with duration of therapeutic lag on disability progression in univariate and pairwise bivariable analyses. In the final model, therapeutic lag was 27.8 weeks shorter in females with ARR6 compared to those with EDSS>=6 (26.6, 18.2–34.9 vs 54.3, 47.2–61.5). Baseline EDSS, ARR, sex and MS phenotype were associated with duration of therapeutic lag on relapses in univariate analyses. Pairwise bivariable analyses of the pairs of determinants suggested ependently associated with therapeutic lag. In the final model, therapeutic lag was shortest in those with RRMS and EDSS
Published: 2021

40. Natalizumab Versus Fingolimod in Patients with Relapsing-Remitting Multiple Sclerosis: A Subgroup Analysis From Three International Cohorts

Author: Mark Slee, Guillermo Izquierdo, Per Soelberg Soerensen, Karen Schreiber, Alexandre Prat, Francois Grand'Maison, Maria Trojano, Franco Granella, Pierre Duquette, David Laplaud, Elisabeth Maillart, Henrik Kahr Mathiesen, Bassem Yamout, Cavit Boz, Jean Pelletier, Corinne Pottier, Jette L. Frederiksen, Claudia Christina Pfleger, Tomas Kalincik, Olivier Gout, Daniele Spitaleri, Marc Girard, Marco Onofrj, Jérôme De Seze, Helmut Butzkueven, Emmanuelle Leray, Philippe Cabre, Julie Prevost, Abullatif Al-Khedr, Aude Maurousset, Eric Berger, Sifat Sharmin, Ivania Patry, Pamela A. McCombe, Patrizia Sola, Olga Skibina, Diana Ferraro, Pierre Clavelou, Francesco Patti, Finn Sellebjerg, Niels Koch-Henriksen, Alexis Montcuquet, Recai Turkoglu, Romain Casey, Bart Van Wijmeersch, Hélène Zéphir, Pierre Grammond, Dana Horakova, Davide Maimone, Serkan Ozakbas, Céline Labeyrie, Murat Terzi, Aurélie Ruet, Steve Vucic, Jonathan Ciron, Tünde Csépány, Nicolas Maubeuge, Bruno Stankoff, Mathilde Lefort, Katherine Buzzard, Karolina Hankiewicz, Jean-Philippe Camdessanché, Raed Alroughani, Michael Broksgaard Jensen, Pierre Labauge, Olivier Casez, Peter Vestergaard Rasmussen, Bertrand Bourre, Olivier Heinzlef, Gilles Defer, Gilles Edan, Alessandra Lugaresi, Abir Wahab, Melinda Magyari, Anneke van der Walt, Eva Havrdova, Johanna Balslev Andersen, Chantal Nifle, Stephan Bramow, Marc Debouverie, Thibault Moreau, Sandra Vukusic, Christine Lebrun-Frenay, Jeannette Lechner-Scott, Eric Thouvenot, Sharmin S., Lefort M., Andersen J.B., Leray E., Horakova D., Havrdova E.K., Alroughani R., Izquierdo G., Ozakbas S., Patti F., Onofrj M., Lugaresi A., Terzi M., Grammond P., Grand'Maison F., Yamout B., Prat A., Girard M., Duquette P., Boz C., Trojano M., McCombe P., Slee M., Lechner-Scott J., Turkoglu R., Sola P., Ferraro D., Granella F., Prevost J., Maimone D., Skibina O., Buzzard K., Van der Walt A., Van Wijmeersch B., Csepany T., Spitaleri D., Vucic S., Casey R., Debouverie M., Edan G., Ciron J., Ruet A., De Seze J., Maillart E., Zephir H., Labauge P., Defer G., Lebrun-Frenay C., Moreau T., Berger E., Clavelou P., Pelletier J., Stankoff B., Gout O., Thouvenot E., Heinzlef O., Al-Khedr A., Bourre B., Casez O., Cabre P., Montcuquet A., Wahab A., Camdessanche J.-P., Maurousset A., Patry I., Hankiewicz K., Pottier C., Maubeuge N., Labeyrie C., Nifle C., Laplaud D., Koch-Henriksen N., Sellebjerg F.T., Soerensen P.S., Pfleger C.C., Rasmussen P.V., Jensen M.B., Frederiksen J.L., Bramow S., Mathiesen H.K., Schreiber K.I., Magyari M., Vukusic S., Butzkueven H., Kalincik T., University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), CHU Pontchaillou [Rennes], Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Copenhagen = Københavns Universitet (UCPH), École des Hautes Études en Santé Publique [EHESP] (EHESP), Charles University [Prague] (CU), Amiri hospital, Hospital Virgen Macarena, Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), University of Catania [Italy], G.F. Ingrassia Hospital, Università degli studi 'G. d'Annunzio' Chieti-Pescara [Chieti-Pescara] (Ud'A), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Institute of Neurological Science of Bologna (IRCCS), Ondokuz Mayis University (OMU), American University of Beirut Faculty of Medicine and Medical Center (AUB), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), Karadeniz Technical University (KTU), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), University of Queensland [Brisbane], Royal Brisbane & Women's Hospital [Brisbane, Australia] (RBWH), Flinders University [Adelaide, Australia], University of Newcastle [Callaghan, Australia] (UoN), Azienda Ospedaleria Universitaria di Modena, Università degli studi di Parma = University of Parma (UNIPR), University Hospital Parma, Monash University [Melbourne], The Alfred Hospital, Hasselt University (UHasselt), University of Debrecen Egyetem [Debrecen], San Giuseppe Moscati Hospital [Avellino, Italie], Westmead Hospital [Sydney], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Hospices Civils de Lyon (HCL), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Fondation Eugène Devic EDMUS, Adaptation, mesure et évaluation en santé. Approches interdisciplinaires (APEMAC), Université de Lorraine (UL), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), CIC Bordeaux, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU Lille, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Hôpital Pasteur [Nice] (CHU), Service de Neurologie générale, vasculaire et dégénérative (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), CHU Clermont-Ferrand, Neuro-Dol (Neuro-Dol), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne (UCA), Hôpital de la Timone [CHU - APHM] (TIMONE), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), CHI Poissy-Saint-Germain, Service de neurologie [Amiens], CHU Amiens-Picardie, Service de neurologie [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Centre Hospitalier Universitaire [Grenoble] (CHU), CHU de la Martinique [Fort de France], Service de Neurologie [CHU Limoges], CHU Limoges, CHU Henri Mondor [Créteil], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Service de Neurologie [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau, Hôpital Sud Francilien Corbeil Essonne, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre Hospitalier René Dubos [Pontoise], Hôpital de la Milétrie, Centre hospitalier universitaire de Poitiers (CHU Poitiers), AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Centre Hospitalier de Versailles André Mignot (CHV), Centre d’Investigation Clinique de Nantes (CIC Nantes), Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre hospitalier universitaire de Nantes (CHU Nantes), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Aarhus University Hospital, Aalborg University [Denmark] (AAU), University Hospital of Northern Sealand, Rigshospitalet [Copenhagen], Copenhagen University Hospital, The Royal Melbourne Hospital, 1140766, National Health and Medical Research Council, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Copenhagen = Københavns Universitet (KU), Università degli Studi di Bologna, University of Bari Aldo Moro (UNIBA), University of Newcastle [Australia] (UoN), University of Parma = Università degli studi di Parma [Parme, Italie], University of Debrecen, Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), CHU Toulouse [Toulouse], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Henri Mondor, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Ondokuz Mayis University, Centre de recherche en neurosciences de Lyon (CRNL), Physiopathologie de la Plasticité Neuronale (Neurocentre Magendie - U1215 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Adult, Male, medicine.medical_specialty, Multiple Sclerosis, Internationality, Subgroup analysis, Rate ratio, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Natalizumab, Multiple Sclerosis, Relapsing-Remitting, 030225 pediatrics, Internal medicine, Secondary Prevention, Medicine, Humans, Immunologic Factors, Pharmacology (medical), Longitudinal Studies, Registries, 10. No inequality, Expanded Disability Status Scale, business.industry, Proportional hazards model, Fingolimod Hydrochloride, Multiple sclerosis, [SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences, Middle Aged, medicine.disease, Fingolimod, 3. Good health, multiple sclerosis, sex, age, natalizumab, fingolimod, big data, Psychiatry and Mental health, Cohort, Female, Neurology (clinical), business, 030217 neurology & neurosurgery, Immunosuppressive Agents, medicine.drug, Follow-Up Studies
Abstract: Introduction: Natalizumab has proved to be more effective than fingolimod in reducing disease activity in relapsing-remitting multiple sclerosis (RRMS). Whether this association is universal for all patient groups remains to be determined. Objective: The aim of this study was to compare the relative effectiveness of natalizumab and fingolimod in RRMS subgroups defined by the baseline demographic and clinical characteristics of interest. Methods: Patients with RRMS who were given natalizumab or fingolimod were identified in a merged cohort from three international registries. Efficacy outcomes were compared across subgroups based on patients’ sex, age, disease duration, Expanded Disability Status Scale (EDSS) score, and disease and magnetic resonance imaging (MRI) activity 12 months prior to treatment initiation. Study endpoints were number of relapses (analyzed withweighted negative binomial generalized linear model) and 6-month confirmed disability worsening and improvement events (weighted Cox proportional hazards model), recorded during study therapy. Each patient was weighted using inverse probability of treatment weighting based on propensity score. Results: A total of 5148 patients (natalizumab 1989; fingolimod 3159) were included, with a mean ± standard deviation age at baseline of 38 ± 10 years, and the majority (72%) were women. The median on-treatment follow-up was 25 (quartiles 15–41) months. Natalizumab was associated with fewer relapses than fingolimod (incidence rate ratio [IRR]; 95% confidence interval [CI]) in women (0.76; 0.65–0.88); in those aged ≤38 years (0.64; 0.54–0.76); in those withdisease duration ≤7 years (0.63; 0.53–0.76); in those with EDSS score 38 years (1.34; 1.04–1.73); those with disease duration >7 years (1.33; 1.01–1.74); those with EDSS score
Published: 2021

41. Multiple Sclerosis Data Alliance – A global multi-stakeholder collaboration to scale-up real world data research

Author: Elisabeth Kasilingam, Stephanie Ribbe, Liesbet M. Peeters, Bernard M. J. Uitdehaag, Piet Stinissen, Tina Parciak, Edward De Brouwer, Dagmar Krefting, Yves Moreau, Rod Middleton, Ashkan Pirmani, Alexander Stahmann, Dipak Kalra, Christian R. Bauer, Niels Hellings, Bart Van Wijmeersch, Pieter van Galen, Giancarlo Comi, Christoph Thalheim, Amin Ardeshirdavani, Patrick Vermersch, Pirmani, Ashkan/0000-0003-4549-1002, Neurology, and Amsterdam Neuroscience - Neuroinfection & -inflammation
Subjects: EUROPE, Real world data, Multiple Sclerosis, Big data, Clinical Neurology, Patient engagement, multiple sclerosis, 03 medical and health sciences, 0302 clinical medicine, learning health system, Humans, 030212 general & internal medicine, Multi stakeholder, Sociology, Ecosystem, Science & Technology, patient engagement, business.industry, General Medicine, Data science, collaboration, 3. Good health, Alliance, Neurology, Research Design, Neurosciences & Neurology, Neurology (clinical), business, Life Sciences & Biomedicine, 030217 neurology & neurosurgery, Data ecosystem
Abstract: The Multiple Sclerosis Data Alliance (MSDA), a global multi-stakeholder collaboration, is working to accelerate research insights for innovative care and treatment for people with multiple sclerosis (MS) through better use of real-world data (RWD). Despite the increasing reliance on RWD, challenges and limitations complicate the generation, collection, and use of these data. MSDA aims to tackle sociological and technical challenges arising with scaling up RWD, specifically focused on MS data. MSDA envisions a patient-centred data ecosystem in which all stakeholders contribute and use big data to co-create the innovations needed to advance timely treatment and care of people with MS. We would like to thank the sponsors of the MS Data Alliance. The MSDA receives income from a range of corporate sponsors, recently including: Biogen, BristolMyersSquibb (formerly Celgene), Canopy Growth Corporation, Genzyme, Icometrix, Janssen, Merck, Mylan, Novartis, QMENTA, Quanterix, Roche. We would like to thank the European MS Platform and the University MS Center of Hasselt University for founding the initiative. Next to this, we would like to thank the other core partners for their continued support: the European Charcot Foundation, The European Institute for Innovation through Health Data, the University of Gottingen and KULeuven. A special thanks to our pioneer registries: the UK MS registry and the German MS registry. Peeters, LM (corresponding author), Agoralaan C Bis, B-3590 Diepenbeek, Belgium. Liesbet.peeters@uhasselt.be
Published: 2021

42. Effect of Multiple Sclerosis on Daily Activities, Emotional Well-being, and Relationships: The Global vsMS Survey

Author: Ann D, Bass, Bart, Van Wijmeersch, Lori, Mayer, Mathias, Mäurer, Aaron, Boster, Matt, Mandel, Colin, Mitchell, Kersten, Sharrock, and Barry, Singer
Subjects: Articles
Abstract: BACKGROUND: The vsMS survey was conducted to better understand the negative effects of fatigue, cognitive impairment, emotional burden, and decreased physical functioning on the personal, professional, and social lives of individuals with multiple sclerosis (MS). METHODS: The vsMS survey was an online survey conducted in Australia, Canada, France, Italy, Spain, the United Kingdom, and the United States that assessed the impact of MS on individuals’ daily activities, emotional well-being, relationships, and employment. RESULTS: The survey included 1075 participants with relapsing-remitting MS. Almost 42% of participants reported that their ability to perform and manage daily activities had worsened during the previous 2 years. More than 50% reported limitations in daily activities due to fatigue, physical weakness, problems with balance/coordination, heat/cold sensitivity, memory problems, numbness/tingling, trouble concentrating, impaired movement/muscle stiffness, and impaired sleeping. Participants also reported a negative effect on emotional and social factors, including self-esteem, general outlook, well-being, maintaining/starting relationships, ability to progress in their career/keep their job, and ability to cope with life roles. CONCLUSIONS: These data highlight the importance of addressing the impact of MS and the social and emotional disease burdens on daily activities when planning the care of patients with MS.
Published: 2020

43. The use of alemtuzumab in patients with relapsing-remitting multiple sclerosis: the Gulf perspective

Author: Ahmed Shatila, Derk W Krieger, Mustafa Shakra, Jihad Inshasi, Bart Van Wijmeersch, Isa Alsharoqi, Raed Alroughani, Aly Ezzat, Miklos Szolics, Ali Hassan, Samar Farouk Ahmed, Jabber Al Khaboori, and Mohamed Khallaf
Subjects: 0301 basic medicine, medicine.medical_specialty, Complex disease, Review, multiple sclerosis, lcsh:RC346-429, Disease activity, 03 medical and health sciences, 0302 clinical medicine, disease modifying therapies, patient profiles, medicine, Patient profile, alemtuzumab, In patient, Intensive care medicine, lcsh:Neurology. Diseases of the nervous system, Pharmacology, business.industry, Multiple sclerosis, Perspective (graphical), medicine.disease, relapsing-remitting, 030104 developmental biology, Neurology, Relapsing remitting, Alemtuzumab, Gulf region, Neurology (clinical), business, 030217 neurology & neurosurgery, medicine.drug
Abstract: Over the past decade, the development of high-efficacy disease-modifying therapies (DMTs) has been responsible for more effective management of relapsing-remitting multiple sclerosis (RRMS). However, the gaps in optimal care for this complex disease remain. Alemtuzumab (Lemtrada®) is a highly efficacious DMT that shows better patient outcomes and therapeutic benefits, but its use is under-recognized in the Gulf region. Experts in the care of multiple sclerosis shared their opinions based on study data and daily clinical experience in identifying the appropriate patient profile suitable for alemtuzumab’s therapeutic benefits. Age, disease activity and severity, disability status, physician experience, and economic condition are some of the key indicators for alemtuzumab use.
Published: 2020

44. Efficacy and Safety of Alemtuzumab Through 9 Years of Follow-up in Patients with Highly Active Disease: Post Hoc Analysis of CARE-MS I and II Patients in the TOPAZ Extension Study

Author: Topaz investigators, Christopher LaGanke, Samuel F. Hunter, Zia Choudhry, Tjalf Ziemssen, Giancarlo Comi, Bart Van Wijmeersch, Daniel Pelletier, Ann D Bass, Sven Schippling, Care-Ms I, Care-Ms Ii, Camms, Lívia Sousa, Anthony Traboulsee, Regina Berkovich, Volker Limmroth, Carlo Pozzilli, Barry A Singer, Bernard M. J. Uitdehaag, Sara Eichau, Jeremy Hobart, Nadia Daizadeh, Ziemssen, Tjalf/0000-0001-8799-8202, Neurology, and Amsterdam Neuroscience - Neuroinfection & -inflammation
Subjects: Adult, Male, medicine.medical_specialty, Neurology, Population, Outcomes, multiple sclerosis, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Pharmacotherapy, Multiple Sclerosis, Relapsing-Remitting, No Evidence, Internal medicine, Post-hoc analysis, medicine, Humans, Immunologic Factors, Pharmacology (medical), Original Research Article, education, Adverse effect, Alemtuzumab, clinical trials, education.field_of_study, Disability, Expanded Disability Status Scale, business.industry, Aggressive Multiple-Sclerosis, Multiple sclerosis, Fingolimod, medicine.disease, Magnetic Resonance Imaging, Highly Active Disease, 030227 psychiatry, Psychiatry and Mental health, Treatment Outcome, Female, Cell, Neurology (clinical), business, 030217 neurology & neurosurgery, Interferon beta-1a, multiple sclerosis, alemtuzumab, clinical trials, adult, Highly Active Disease, medicine.drug, Follow-Up Studies
Abstract: Background Alemtuzumab efficacy versus subcutaneous interferon-beta-1a (SC IFNB-1a) was demonstrated over 2 years in patients with relapsing-remitting multiple sclerosis, with continued efficacy over 7 additional years. Alemtuzumab is included as a recommended treatment for patients with highly active disease (HAD) by the American Academy of Neurology Practice Guidelines, and the label indication in Europe was recently restricted to the treatment of HAD patients. There is currently no consensus definition for HAD, and alemtuzumab efficacy across various HAD definitions has not been explored previously. Objectives In this post hoc analysis, we assess the efficacy and safety of alemtuzumab in Comparison of Alemtuzumab and Rebif(R)Efficacy in Multiple Sclerosis (CARE-MS) trial patients who met criteria for at least one of four separate definitions of HAD (one primary and three alternatives). Over 2 years, alemtuzumab-treated HAD patients were compared with SC IFNB-1a-treated HAD patients, with additional 7-year follow-up in patients from the alemtuzumab arm. Methods Patients in the CARE-MS studies received either alemtuzumab (baseline: 5 days; 12 months later: 3 days) or SC IFNB-1a (3 times weekly). Alemtuzumab-treated patients who enrolled in the extensions could receive additional courses >= 12 months apart. Four definitions of HAD were applied to assess alemtuzumab efficacy: the pre-specified primary definition (two or more relapses in the year prior to baseline and at least one gadolinium [Gd]-enhancing lesion at baseline) and three alternative definitions that focused on relapse, magnetic resonance imaging (MRI), or prior treatment response criteria. Efficacy outcomes were annualized relapse rate, change in Expanded Disability Status Scale score, 6-month confirmed disability worsening, 6-month confirmed disability improvement, MRI disease activity, and brain volume change. Adverse events were summarized for HAD patients meeting the primary definition. Results In the pooled CARE-MS population, 208 alemtuzumab-treated patients met the primary HAD definition. Annualized relapse rate was 0.27 in years 0-2 and 0.16 in years 3-9. Over 9 years, 62% of patients were free of 6-month confirmed disability worsening, 50% had 6-month confirmed disability improvement, and median cumulative change in brain volume was - 2.15%. During year 9, 62% had no evidence of disease activity, and 69% were free of MRI disease activity. Similar efficacy outcomes were observed using an alternative relapse-driven HAD definition. For patients meeting alternative HAD definitions focused on either higher MRI lesion counts or disease activity while on prior therapy, reduced efficacy for some endpoints was seen. Safety was consistent with the overall CARE-MS population through year 9. Conclusions Over 9 years, alemtuzumab efficacy was maintained in CARE-MS HAD patients based on four HAD definitions. These results support intervention with alemtuzumab in patients with early indicators of HAD, including frequent relapse without high MRI activity. No safety signals were observed over 9 years that were unique to the HAD populations. ClinicalTrials.gov Identifiers NCT00530348; NCT00548405; NCT00930553; NCT02255656. The CARE-MS I, CARE-MS II, CAMMS03409, and TOPAZ studies were funded by Sanofi and Bayer HealthCare Pharmaceuticals. Medical writing support was funded by Sanofi. Ziemssen, T (corresponding author), Univ Clin Carl Gustav Carus, Ctr Clin Neurosci, Fetscherstr 74, D-01307 Dresden, Germany. Tjalf.Ziemssen@uniklinikum-dresden.de
Published: 2020

45. Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis

Author: Thijs Becker, Niels Hellings, Bart Van Wijmeersch, Liesbet M. Peeters, Jan Yperman, Veronica Popescu, and Dirk Valkenborg
Subjects: Male, Multiple Sclerosis, Computer science, Central nervous system, Feature extraction, Datasets as Topic, Linear classifier, Logistic regression, Machine learning, computer.software_genre, lcsh:RC346-429, Standard deviation, Machine Learning, Disability Evaluation, 03 medical and health sciences, 0302 clinical medicine, Belgium, Humans, Medicine, Evoked potential, Time series, lcsh:Neurology. Diseases of the nervous system, Statistical hypothesis testing, 030304 developmental biology, 0303 health sciences, business.industry, Multiple sclerosis, General Medicine, Mutual information, Evoked potentials, Disease prognosis, medicine.disease, Evoked Potentials, Motor, Random forest, Data set, medicine.anatomical_structure, Logistic Models, Test set, Disease Progression, Female, Neurology (clinical), Artificial intelligence, business, computer, 030217 neurology & neurosurgery, Research Article
Abstract: Background Evoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis patients. Previous studies only extracted a few variables from the EPs, which are often further condensed into a single variable: the EP score. We perform a machine learning analysis of motor EP that uses the whole time series, instead of a few variables, to predict disability progression after two years. Obtaining realistic performance estimates of this task has been difficult because of small data set sizes. We recently extracted a dataset of EPs from the Rehabiliation & MS Center in Overpelt, Belgium. Our data set is large enough to obtain, for the first time, a performance estimate on an independent test set containing different patients. Methods We extracted a large number of time series features from the motor EPs with the highly comparative time series analysis software package. Mutual information with the target and the Boruta method are used to find features which contain information not included in the features studied in the literature. We use random forests (RF) and logistic regression (LR) classifiers to predict disability progression after two years. Statistical significance of the performance increase when adding extra features is checked. Results Including extra time series features in motor EPs leads to a statistically significant improvement compared to using only the known features, although the effect is limited in magnitude (ΔAUC = 0.02 for RF and ΔAUC = 0.05 for LR). RF with extra time series features obtains the best performance (AUC = 0.75±0.07 (mean and standard deviation)), which is good considering the limited number of biomarkers in the model. RF (a nonlinear classifier) outperforms LR (a linear classifier). Conclusions Using machine learning methods on EPs shows promising predictive performance. Using additional EP time series features beyond those already in use leads to a modest increase in performance. Larger datasets, preferably multi-center, are needed for further research. Given a large enough dataset, these models may be used to support clinicians in their decision making process regarding future treatment.
Published: 2020

46. Prediction of on-treatment disability worsening in RRMS with the MAGNIMS score

Author: Jeannette Lechner-Scott, Patrizia Sola, Pierre Grammond, Daniele Spitaleri, Jose Luis Sanchez-Menoyo, Raed Alroughani, Maria Trojano, Franco Granella, Tomas Kalincik, Cavit Boz, Diana Ferraro, Pamela A. McCombe, Bart Van Wijmeersch, Serkan Ozakbas, Alessandra Lugaresi, Raymond Hupperts, Guillermo Izquierdo, Francois Grand'Maison, Maria Pia Sormani, Vilija Jokubaitis, Steve Vucic, Eugenio Pucci, Marco Onofrj, Helmut Butzkueven, Amy Kunchok, Kunchok A., Lechner-Scott J., Granella F., Trojano M., Alroughani R., Sola P., Ferraro D., Lugaresi A., Onofrj M., Ozakbas S., Izquierdo G., Grammond P., Luis Sanchez-Menoyo J., Van Wijmeersch B., Boz C., Pucci E., McCombe P., Grand'Maison F., Spitaleri D., Vucic S., Hupperts R., Jokubaitis V., Sormani M.P., Butzkueven H., and Kalincik T.
Subjects: medicine.medical_specialty, outcomes, Cohort Studies, Multiple sclerosis, Neoplasm Recurrence, Multiple Sclerosis, Relapsing-Remitting, medicine, Humans, magnetic resonance imaging, Multiple sclerosi, therapy, medicine.diagnostic_test, Interferon beta, business.industry, Disease progression, Magnetic resonance imaging, prediction, medicine.disease, Clinical neurology, Neurology, Relapsing remitting, prognosis, outcome, Disease Progression, Neurology (clinical), Radiology, Neoplasm Recurrence, Local, business, prognosi, Cohort study
Abstract: Background: The magnetic resonance imaging in multiple sclerosis (MAGNIMS) score combines relapses and magnetic resonance imaging (MRI) lesions to predict disability outcomes in relapsing–remitting multiple sclerosis (RRMS) treated with interferon-β. Objective: To validate the MAGNIMS score and extend to other disease-modifying therapies (DMTs). To examine the prognostic value of gadolinium contrast-enhancing (Gd+) lesions. Methods: This RRMS MSBase cohort study ( n = 2293) used a Cox model to examine the prognostic value of relapses, MRI activity and the MAGNIMS score for disability worsening during treatment with interferon-β and three other DMTs. Results: Three new T2 lesions (hazard ratio (HR) = 1.60, p = 0.028) or two relapses (HR = 2.24, p = 0.002) on interferon-β (for 12 months) were predictive of disability worsening over 4 years. MAGNIMS score = 2 (1 relapse and ⩾3 T2 lesions or ⩾2 relapses) was associated with a greater risk of disability worsening on interferon-β (HR = 2.0, p = 0.001). In pooled cohort of four DMTs, similar associations were seen (MAGNIMS score = 2: HR = 1.72, p = 0.001). Secondary analyses demonstrated that the addition of Gd+ to the MAGNIMS did not materially improve its prediction of disability worsening. Conclusion: We have validated the MAGNIMS score in RRMS and extended its application to three other DMTs: 1 relapse and ⩾3 T2 lesions or ⩾2 relapses predicted worsening of disability. Contrast-enhancing lesions did not substantially improve the prognostic score.
Published: 2020

47. Risk of secondary progressive multiple sclerosis: A longitudinal study

Author: Michael Barnett, Bhim Singhal, Maria Trojano, Franco Granella, Neil Shuey, Guillermo Izquierdo, Dana Horakova, Helmut Butzkueven, Talal Al-Harbi, Maria Laura Saladino, Cameron Shaw, Adam Fambiatos, Bart Van Wijmeersch, Serkan Ozakbas, Tünde Csépány, Freek Verheul, Cavit Boz, Tim Spelman, Pierre Duquette, Jeannette Lechner-Scott, Bassem Yamout, Roberto Bergamaschi, Vincent Van Pesch, Claudio Solaro, Edgardo Cristiano, Patrizia Sola, Vilija Jokubaitis, Jae Kwan Jun, Alessandra Lugaresi, Javier Olascoaga, Aysun Soysal, Thor Petersen, Mark Slee, Raed Alroughani, Francois Grand'Maison, Orla Gray, Tomas Kalincik, Marc Girard, Gerardo Iuliano, Anneke van der Walt, Eva Havrdova, Jose Luis Sanchez-Menoyo, Radek Ampapa, Julie Prevost, Steve Vucic, Pamela A. McCombe, Recai Turkoglu, Yara Dadalti Fragoso, Jordana Hughes, Olga Skibina, Murat Terzi, Eugenio Pucci, Diana Ferraro, Pierre Grammond, Fraser Moore, Ayse Altintas, Suzanne Hodgkinson, Youssef Sidhom, Norma Deri, Alexandre Prat, Raymond Hupperts, Daniele Spitaleri, Bruce V. Taylor, Fambiatos A., Jokubaitis V., Horakova D., Kubala Havrdova E., Trojano M., Prat A., Girard M., Duquette P., Lugaresi A., Izquierdo G., Grand'Maison F., Grammond P., Sola P., Ferraro D., Alroughani R., Terzi M., Hupperts R., Boz C., Lechner-Scott J., Pucci E., Bergamaschi R., Van Pesch V., Ozakbas S., Granella F., Turkoglu R., Iuliano G., Spitaleri D., McCombe P., Solaro C., Slee M., Ampapa R., Soysal A., Petersen T., Sanchez-Menoyo J.L., Verheul F., Prevost J., Sidhom Y., Van Wijmeersch B., Vucic S., Cristiano E., Saladino M.L., Deri N., Barnett M., Olascoaga J., Moore F., Skibina O., Gray O., Fragoso Y., Yamout B., Shaw C., Singhal B., Shuey N., Hodgkinson S., Altintas A., Al-Harbi T., Csepany T., Taylor B., Hughes J., Jun J.-K., van der Walt A., Spelman T., Butzkueven H., Kalincik T., Ondokuz Mayıs Üniversitesi, UCL - SSS/IONS/CEMO - Pôle Cellulaire et moléculaire, and UCL - (SLuc) Service de neurologie
Subjects: Adult, Male, Risk, medicine.medical_specialty, Longitudinal study, Immunologic Factors, multiple sclerosis, Severity of Illness Index, 03 medical and health sciences, 0302 clinical medicine, Multiple Sclerosis, Relapsing-Remitting, disease modifying therapies, prognostics, Internal medicine, Severity of illness, Medicine, Humans, Longitudinal Studies, 030304 developmental biology, 0303 health sciences, business.industry, Multiple sclerosis, Disease progression, prediction, Multiple Sclerosis, Chronic Progressive, medicine.disease, SPMS, Clinical neurology, Natural history, Neurology, multiple sclerosi, disease modifying therapie, Disease Progression, Secondary progressive multiple sclerosis, Female, Neurology (clinical), business, prognostic, 030217 neurology & neurosurgery
Abstract: Turkoglu, Recai/0000-0001-9724-851X; Ferraro, Diana/0000-0003-4818-3806; McCombe, Pamela/0000-0003-2704-8517; Altintas, Ayse/0000-0002-8524-5087; Jokubaitis, Vilija G./0000-0002-3942-4340; Slee, Mark/0000-0003-4323-2453; Lugaresi, Alessandra/0000-0003-2902-5589; van Pesch, Vincent/0000-0003-2885-9004; Vucic, Steve/0000-0002-8323-873X WOS: 000481049900001 PubMed: 31397221 Background: The risk factors for conversion from relapsing-remitting to secondary progressive multiple sclerosis remain highly contested. Objective: The aim of this study was to determine the demographic, clinical and paraclinical features that influence the risk of conversion to secondary progressive multiple sclerosis. Methods: Patients with adult-onset relapsing-remitting multiple sclerosis and at least four recorded disability scores were selected from MSBase, a global observational cohort. The risk of conversion to objectively defined secondary progressive multiple sclerosis was evaluated at multiple time points per patient using multivariable marginal Cox regression models. Sensitivity analyses were performed. Results: A total of 15,717 patients were included in the primary analysis. Older age (hazard ratio (HR) = 1.02, p < 0.001), longer disease duration (HR = 1.01, p = 0.038), a higher Expanded Disability Status Scale score (HR = 1.30, p < 0.001), more rapid disability trajectory (HR = 2.82, p < 0.001) and greater number of relapses in the previous year (HR = 1.07, p = 0.010) were independently associated with an increased risk of secondary progressive multiple sclerosis. Improving disability (HR = 0.62, p = 0.039) and disease-modifying therapy exposure (HR = 0.71, p = 0.007) were associated with a lower risk. Recent cerebral magnetic resonance imaging activity, evidence of spinal cord lesions and oligoclonal bands in the cerebrospinal fluid were not associated with the risk of conversion. Conclusion: Risk of secondary progressive multiple sclerosis increases with age, duration of illness and worsening disability and decreases with improving disability. Therapy may delay the onset of secondary progression. National Health and Medical Research Council of AustraliaNational Health and Medical Research Council of Australia [1083539, 1129189, 1140766]; BiogenBiogen; RocheRoche Holding; Bayer ScheringBayer AG; Sanofi Genzyme; Teva; MerckMerck & Company; NovartisNovartis The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was financially supported by National Health and Medical Research Council of Australia (project grants 1083539 and 1129189 and fellowship 1140766). The MSBase Foundation is a not-for-profit organisation that receives support from Merck, Biogen, Roche, Novartis, Bayer Schering, Sanofi Genzyme and Teva. The study was conducted separately and apart from the guidance of the sponsors.
Published: 2020

48. Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]

Author: Thijs Becker, Celia Oreja-Guevara, Francois Grand'Maison, Ludwig Kappos, Yves Moreau, Vincent Van Pesch, Jens Kuhle, Jose Luis Sanchez-Menoyo, Riadh Gouider, Liesbet M. Peeters, Patrizia Sola, Jeannette Lechner-Scott, Tomas Kalincik, Murat Terzi, Raed Alroughani, Sara Eichau, Bart Van Wijmeersch, Serkan Ozakbas, Daniele Spitaleri, Fraser Moore, Edward De Brouwer, Tünde Csépány, Pierre Grammond, Maria Trojano, Franco Granella, Cavit Boz, Davide Maimone, Tamara Castillo Trivio, Oliver Gerlach, Marco Onofrj, Vahid Shaygannejad, Roberto Bergamaschi, Aysun Soysal, Cristina Ramo-Tello, Gerardo Iuliano, Claudio Solaro, Elisabetta Cartechini, Eduardo Aguera-Morales, Katherine Buzzard, Eva Havrdova, Maria José Sá, and Ramo-Tello, Cristina/0000-0001-8643-5053
Subjects: medicine.medical_specialty, Computer science, business.industry, MEDLINE, Health Informatics, Programming method, Computer Science Applications, Text mining, medicine, Disability progression, Medical physics, business, Software, Biomedicine, Volume (compression)
Published: 2022

49. Siponimod versus placebo in secondary progressive multiple sclerosis (EXPAND): a double-blind, randomised, phase 3 study

Author: Ludwig Kappos, Amit Bar-Or, Bruce A C Cree, Robert J Fox, Gavin Giovannoni, Ralf Gold, Patrick Vermersch, Douglas L Arnold, Sophie Arnould, Tatiana Scherz, Christian Wolf, Erik Wallström, Frank Dahlke, Anat Achiron, Lutz Achtnichts, Kadriye Agan, Gulsen Akman-Demir, Alison B Allen, Jack P Antel, Alfredo Rodriguez Antiguedad, Michelle Apperson, Angela M Applebee, Guillermo Izquierdo Ayuso, Masayuki Baba, Ovidiu Bajenaru, Rodica Balasa, Belgin Petek Balci, Michael Barnett, Ann Bass, Veit U Becker, Mihaela Bejinariu, Florian Then Bergh, Arnfin Bergmann, Evanthia Bernitsas, Achim Berthele, Virender Bhan, Felix Bischof, Randall John Bjork, Gregg Blevins, Matthias Boehringer, Thomas Boerner, Robert Bonek, James D Bowen, Allen Bowling, Alexey N Boyko, Cavit Boz, Vera Bracknies, Stefan Braune, Vincenzo Brescia Morra, Bruno Brochet, Waldemar Brola, Paul Kenneth Brownstone, Miroslav Brozman, Donald Brunet, Ioan Buraga, Margaret Burnett, Mathias Buttmann, Helmut Butzkueven, Jonathan Cahill, Jonathan C Calkwood, William Camu, Mark Cascione, Giovani Castelnovo, Diego Centonze, Joao Cerqueira, Andrew Chan, Andrea Cimprichova, Stanley Cohan, Giancarlo Comi, Jill Conway, Joanna A Cooper, John Corboy, Jorge Correale, Brian Costell, David A Cottrell, Patricia K Coyle, Matthew Craner, Liying Cui, Luis Cunha, Anna Czlonkowska, Ana Martins da Silva, Joao de Sa, Jérôme de Seze, Marc Debouverie, Jan Debruyne, Danny Decoo, Gilles Defer, Tobias Derfuss, Norma H Deri, Bhupesh Dihenia, Peter Dioszeghy, Vladimir Donath, Benedicte Dubois, Martin Duddy, Pierre Duquette, Gilles Edan, Husnu Efendi, Stanton Elias, Peter J Emrich, Bonaventura Casanova Estruch, Evgeniy P Evdoshenko, Juergen Faiss, Alexander S Fedyanin, Wolfgang Feneberg, Jiske Fermont, Oscar Fernandez Fernandez, Francisco Coret Ferrer, Katharina Fink, Helen Ford, Corey Ford, Ada Francia, Mark Freedman, Benjamin Frishberg, Simonetta Galgani, George P Garmany, Klaus Gehring, Jeffrey Gitt, Claudio Gobbi, Lawrence P Goldstick, Rafael Arroyo Gonzalez, Francois Grandmaison, Nikolaos Grigoriadis, Olga Grigorova, Luigi Maria Edoardo Grimaldi, Jeffrey Gross, Katrin Gross-Paju, Mark Gudesblatt, Daniel Guillaume, Judith Haas, Viera Hancinova, Anca Hancu, Orla Hardiman, Arndt Harmjanz, Fedor R Heidenreich, G J D Hengstman, Joseph Herbert, Mark Herring, Suzanne Hodgkinson, Olaf M Hoffmann, Werner E Hofmann, William D Honeycutt, Le Hanh Hua, Dehui Huang, Yining Huang, DeRen Huang, Raymond Hupperts, Piroska Imre, Alan Keith Jacobs, Gabor Jakab, Elzbieta Jasinska, Kenichi Kaida, Jolanta Kalnina, Ara Kaprelyan, Guntis Karelis, Dimitrios Karussis, Amos Katz, Farit A Khabirov, Bhupendra Khatri, Takashi Kimura, Ilya Kister, Rasa Kizlaitiene, Eleonora Klimova, Juergen Koehler, Aparna Komatineni, Anselm Kornhuber, Krisztina Kovacs, Agnes Koves, Wojciech Kozubski, Georgi Krastev, Lauren B Krupp, Egon Kurca, Christoph Lassek, Guy Laureys, Liesly Lee, Eckart Lensch, Fritz Leutmezer, Hongzeng Li, Ralf A Linker, Michael Linnebank, Petra Liskova, Cristina Llanera, Jiahong Lu, Andreas Lutterotti, Jan Lycke, Richard Macdonell, Maciej Maciejowski, Mathias Maeurer, Rim V Magzhanov, Eva-Maria Maida, Lina Malciene, Yang Mao-Draayer, Girolama Alessandra Marfia, Clyde Markowitz, Vasileios Mastorodimos, Klotild Matyas, Jose Meca-Lallana, Juan Antonio Garcia Merino, Ioan Gheorghe Mihetiu, Ivan Milanov, Aaron E Miller, Andrejs Millers, Massimiliano Mirabella, Masanori Mizuno, Xavier Montalban, Lilina Montoya, Masahiro Mori, Stefanie Mueller, Jin Nakahara, Yuji Nakatsuji, Scott Newsome, Richard Nicholas, A Scott Nielsen, Esmaeil Nikfekr, Ugo Nocentini, Chiyoko Nohara, Kyoichi Nomura, Miroslav M Odinak, Tomas Olsson, B W van Oosten, Celia Oreja-Guevara, Patrick Oschmann, James Overell, Andrew Pachner, Gyula Panczel, Massimo Pandolfo, Caroline Papeix, Liliana Patrucco, Jean Pelletier, Raul Piedrabuena, Misha Pless, Udo Polzer, Krisztian Pozsegovits, Daiva Rastenyte, Sebastian Rauer, Gerd Reifschneider, Roberto Rey, Syed A Rizvi, Derrick Robertson, Jose Martinez Rodriguez, David Rog, Homayoun Roshanisefat, Vernon Rowe, Csilla Rozsa, Susan Rubin, Stanislaw Rusek, Francesco Saccà, Takahiko Saida, Antonio Vasco Salgado, Victoria Eugenia Fernandez Sanchez, Kalina Sanders, Maria Satori, Denis V Sazonov, Elio Angelo Scarpini, Eugen Schlegel, Myriam Schluep, Stephan Schmidt, Erich Scholz, H M Schrijver, Matthias Schwab, Raymond Schwartz, James Scott, Krzysztof Selmaj, Stuart Shafer, Basil Sharrack, Ivan A Shchukin, Yuko Shimizu, Penko Shotekov, Arno Siever, Karl-Otto Sigel, Scott Silliman, Magdolna Simo, Mihaela Simu, Vladimiro Sinay, Antonio Escartin Siquier, Aksel Siva, Ondrej Skoda, Andrew Solomon, Martin Stangel, Dusan Stefoski, Brian Steingo, Igor D Stolyarov, Pavel Stourac, Katrin Strassburger-Krogias, Erik Strauss, Olaf Stuve, Ivaylo Tarnev, Antonios Tavernarakis, Cristina Ramo Tello, Murat Terzi, Veronika Ticha, Marina Ticmeanu, Klaus Tiel-Wilck, Toomas Toomsoo, Niall Tubridy, Mark J Tullman, Hayrettin Tumani, Peter Turcani, Ben Turner, Antonio Uccelli, Francisco Javier Olascoaga Urtaza, Marta Vachova, Attila Valikovics, Silke Walter, Bart Van Wijmeersch, Ludo Vanopdenbosch, Joerg R Weber, Sara Weiss, Robert Weissert, Timothy West, Heinz Wiendl, Sandrine Wiertlewski, Brigitte Wildemann, Barbara Willekens, L H Visser, Galina Vorobeychik, Xianhao Xu, Takashi Yamamura, Yi N Yang, Sergio Martinez Yelamos, Michael Yeung, Alan Zacharias, Marvin Zelkowitz, Uwe Zettl, Meini Zhang, Hongyu Zhou, Ulf Zieman, Tjalf Ziemssen, Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research, Biomedicine, and Biomedical Engineering, University Hospital, University of Basel, Basel, Center for Neuroinflammation and Neurotherapeutics, and Multiple Sclerosis Division, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, Neuroimmunology Unit, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, Mellen Centre for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, OH, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, Department of Neurology St. Josef-Hospital, Ruhr University Bochum, Germany, Institute for Translational Research in Inflammation - U 1286 (INFINITE (Ex-Liric)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Montreal Neurological Institute, McGill University, Montreal, QC, Canada, NeuroRx Research, Montreal, QC, Novartis Pharma AG, Lycalis, Brussels, AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France., Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Kappos, Ludwig, Bar-Or, Amit, Cree, Bruce A C, Fox, Robert J, Giovannoni, Gavin, Gold, Ralf, Vermersch, Patrick, Arnold, Douglas L, Arnould, Sophie, Scherz, Tatiana, Wolf, Christian, Wallström, Erik, Dahlke, Frank, Achiron, Anat, Achtnichts, Lutz, Agan, Kadriye, Akman-Demir, Gulsen, Allen, Alison B, Antel, Jack P, Antiguedad, Alfredo Rodriguez, Apperson, Michelle, Applebee, Angela M, Ayuso, Guillermo Izquierdo, Baba, Masayuki, Bajenaru, Ovidiu, Balasa, Rodica, Balci, Belgin Petek, Barnett, Michael, Bass, Ann, Becker, Veit U, Bejinariu, Mihaela, Bergh, Florian Then, Bergmann, Arnfin, Bernitsas, Evanthia, Berthele, Achim, Bhan, Virender, Bischof, Felix, Bjork, Randall John, Blevins, Gregg, Boehringer, Matthia, Boerner, Thoma, Bonek, Robert, Bowen, James D, Bowling, Allen, Boyko, Alexey N, Boz, Cavit, Bracknies, Vera, Braune, Stefan, Brescia Morra, Vincenzo, Brochet, Bruno, Brola, Waldemar, Brownstone, Paul Kenneth, Brozman, Miroslav, Brunet, Donald, Buraga, Ioan, Burnett, Margaret, Buttmann, Mathia, Butzkueven, Helmut, Cahill, Jonathan, Calkwood, Jonathan C, Camu, William, Cascione, Mark, Castelnovo, Giovani, Centonze, Diego, Cerqueira, Joao, Chan, Andrew, Cimprichova, Andrea, Cohan, Stanley, Comi, Giancarlo, Conway, Jill, Cooper, Joanna A, Corboy, John, Correale, Jorge, Costell, Brian, Cottrell, David A, Coyle, Patricia K, Craner, Matthew, Cui, Liying, Cunha, Lui, Czlonkowska, Anna, da Silva, Ana Martin, de Sa, Joao, de Seze, Jérôme, Debouverie, Marc, Debruyne, Jan, Decoo, Danny, Defer, Gille, Derfuss, Tobia, Deri, Norma H, Dihenia, Bhupesh, Dioszeghy, Peter, Donath, Vladimir, Dubois, Benedicte, Duddy, Martin, Duquette, Pierre, Edan, Gille, Efendi, Husnu, Elias, Stanton, Emrich, Peter J, Estruch, Bonaventura Casanova, Evdoshenko, Evgeniy P, Faiss, Juergen, Fedyanin, Alexander S, Feneberg, Wolfgang, Fermont, Jiske, Fernandez, Oscar Fernandez, Ferrer, Francisco Coret, Fink, Katharina, Ford, Helen, Ford, Corey, Francia, Ada, Freedman, Mark, Frishberg, Benjamin, Galgani, Simonetta, Garmany, George P, Gehring, Klau, Gitt, Jeffrey, Gobbi, Claudio, Goldstick, Lawrence P, Gonzalez, Rafael Arroyo, Grandmaison, Francoi, Grigoriadis, Nikolao, Grigorova, Olga, Grimaldi, Luigi Maria Edoardo, Gross, Jeffrey, Gross-Paju, Katrin, Gudesblatt, Mark, Guillaume, Daniel, Haas, Judith, Hancinova, Viera, Hancu, Anca, Hardiman, Orla, Harmjanz, Arndt, Heidenreich, Fedor R, Hengstman, G J D, Herbert, Joseph, Herring, Mark, Hodgkinson, Suzanne, Hoffmann, Olaf M, Hofmann, Werner E, Honeycutt, William D, Hua, Le Hanh, Huang, Dehui, Huang, Yining, Huang, Deren, Hupperts, Raymond, Imre, Piroska, Jacobs, Alan Keith, Jakab, Gabor, Jasinska, Elzbieta, Kaida, Kenichi, Kalnina, Jolanta, Kaprelyan, Ara, Karelis, Gunti, Karussis, Dimitrio, Katz, Amo, Khabirov, Farit A, Khatri, Bhupendra, Kimura, Takashi, Kister, Ilya, Kizlaitiene, Rasa, Klimova, Eleonora, Koehler, Juergen, Komatineni, Aparna, Kornhuber, Anselm, Kovacs, Krisztina, Koves, Agne, Kozubski, Wojciech, Krastev, Georgi, Krupp, Lauren B, Kurca, Egon, Lassek, Christoph, Laureys, Guy, Lee, Liesly, Lensch, Eckart, Leutmezer, Fritz, Li, Hongzeng, Linker, Ralf A, Linnebank, Michael, Liskova, Petra, Llanera, Cristina, Lu, Jiahong, Lutterotti, Andrea, Lycke, Jan, Macdonell, Richard, Maciejowski, Maciej, Maeurer, Mathia, Magzhanov, Rim V, Maida, Eva-Maria, Malciene, Lina, Mao-Draayer, Yang, Marfia, Girolama Alessandra, Markowitz, Clyde, Mastorodimos, Vasileio, Matyas, Klotild, Meca-Lallana, Jose, Merino, Juan Antonio Garcia, Mihetiu, Ioan Gheorghe, Milanov, Ivan, Miller, Aaron E, Millers, Andrej, Mirabella, Massimiliano, Mizuno, Masanori, Montalban, Xavier, Montoya, Lilina, Mori, Masahiro, Mueller, Stefanie, Nakahara, Jin, Nakatsuji, Yuji, Newsome, Scott, Nicholas, Richard, Nielsen, A Scott, Nikfekr, Esmaeil, Nocentini, Ugo, Nohara, Chiyoko, Nomura, Kyoichi, Odinak, Miroslav M, Olsson, Toma, van Oosten, B W, Oreja-Guevara, Celia, Oschmann, Patrick, Overell, Jame, Pachner, Andrew, Panczel, Gyula, Pandolfo, Massimo, Papeix, Caroline, Patrucco, Liliana, Pelletier, Jean, Piedrabuena, Raul, Pless, Misha, Polzer, Udo, Pozsegovits, Krisztian, Rastenyte, Daiva, Rauer, Sebastian, Reifschneider, Gerd, Rey, Roberto, Rizvi, Syed A, Robertson, Derrick, Rodriguez, Jose Martinez, Rog, David, Roshanisefat, Homayoun, Rowe, Vernon, Rozsa, Csilla, Rubin, Susan, Rusek, Stanislaw, Saccà, Francesco, Saida, Takahiko, Salgado, Antonio Vasco, Sanchez, Victoria Eugenia Fernandez, Sanders, Kalina, Satori, Maria, Sazonov, Denis V, Scarpini, Elio Angelo, Schlegel, Eugen, Schluep, Myriam, Schmidt, Stephan, Scholz, Erich, Schrijver, H M, Schwab, Matthia, Schwartz, Raymond, Scott, Jame, Selmaj, Krzysztof, Shafer, Stuart, Sharrack, Basil, Shchukin, Ivan A, Shimizu, Yuko, Shotekov, Penko, Siever, Arno, Sigel, Karl-Otto, Silliman, Scott, Simo, Magdolna, Simu, Mihaela, Sinay, Vladimiro, Siquier, Antonio Escartin, Siva, Aksel, Skoda, Ondrej, Solomon, Andrew, Stangel, Martin, Stefoski, Dusan, Steingo, Brian, Stolyarov, Igor D, Stourac, Pavel, Strassburger-Krogias, Katrin, Strauss, Erik, Stuve, Olaf, Tarnev, Ivaylo, Tavernarakis, Antonio, Tello, Cristina Ramo, Terzi, Murat, Ticha, Veronika, Ticmeanu, Marina, Tiel-Wilck, Klau, Toomsoo, Tooma, Tubridy, Niall, Tullman, Mark J, Tumani, Hayrettin, Turcani, Peter, Turner, Ben, Uccelli, Antonio, Urtaza, Francisco Javier Olascoaga, Vachova, Marta, Valikovics, Attila, Walter, Silke, Van Wijmeersch, Bart, Vanopdenbosch, Ludo, Weber, Joerg R, Weiss, Sara, Weissert, Robert, West, Timothy, Wiendl, Heinz, Wiertlewski, Sandrine, Wildemann, Brigitte, Willekens, Barbara, Visser, L H, Vorobeychik, Galina, Xu, Xianhao, Yamamura, Takashi, Yang, Yi N, Yelamos, Sergio Martinez, Yeung, Michael, Zacharias, Alan, Zelkowitz, Marvin, Zettl, Uwe, Zhang, Meini, Zhou, Hongyu, Zieman, Ulf, Ziemssen, Tjalf, and EXPAND Clinical Investigators
Subjects: Adult, Male, 0301 basic medicine, Relative risk reduction, medicine.medical_specialty, Adolescent, Placebo, law.invention, Cohort Studies, Young Adult, 03 medical and health sciences, chemistry.chemical_compound, Multiple Sclerosis, Chronic Progressive / drug therapy, 0302 clinical medicine, Double-Blind Method, Randomized controlled trial, law, Internal medicine, Benzyl Compounds, Clinical endpoint, Humans, Medicine, ComputingMilieux_MISCELLANEOUS, Settore MED/36 - DIAGNOSTICA PER IMMAGINI E RADIOTERAPIA, Expanded Disability Status Scale, Dose-Response Relationship, Drug, business.industry, Hazard ratio, General Medicine, Middle Aged, Multiple Sclerosis, Chronic Progressive, Fingolimod, Treatment Outcome, Settore M-EDF/01 - METODI E DIDATTICHE DELLE ATTIVITÀ MOTORIE, 030104 developmental biology, Siponimod, chemistry, Disease Progression, Azetidines, Female, Settore MED/26 - Neurologia, Human medicine, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, 030217 neurology & neurosurgery, medicine.drug
Abstract: Summary Background No treatment has consistently shown efficacy in slowing disability progression in patients with secondary progressive multiple sclerosis (SPMS). We assessed the effect of siponimod, a selective sphingosine 1-phosphate (S1P) receptor 1,5 modulator, on disability progression in patients with SPMS. Methods This event-driven and exposure-driven, double-blind, phase 3 trial was done at 292 hospital clinics and specialised multiple sclerosis centres in 31 countries. Using interactive response technology to assign numbers linked to treatment arms, patients (age 18–60 years) with SPMS and an Expanded Disability Status Scale score of 3·0–6·5 were randomly assigned (2:1) to once daily oral siponimod 2 mg or placebo for up to 3 years or until the occurrence of a prespecified number of confirmed disability progression (CDP) events. The primary endpoint was time to 3-month CDP. Efficacy was assessed for the full analysis set (ie, all randomly assigned and treated patients); safety was assessed for the safety set. This trial is registered with ClinicalTrials.gov, number NCT01665144. Findings 1651 patients were randomly assigned between Feb 5, 2013, and June 2, 2015 (1105 to the siponimod group, and 546 to the placebo group). One patient did not sign the consent form, and five patients did not receive study drug, all of whom were in the siponimod group. 1645 patients were included in the analyses (1099 in the siponimod group and 546 in the placebo). At baseline, the mean time since first multiple sclerosis symptoms was 16·8 years (SD 8·3), and the mean time since conversion to SPMS was 3·8 years (SD 3·5); 1055 (64%) patients had not relapsed in the previous 2 years, and 918 (56%) of 1651 needed walking assistance. 903 (82%) patients receiving siponimod and 424 (78%) patients receiving placebo completed the study. 288 (26%) of 1096 patients receiving siponimod and 173 (32%) of 545 patients receiving placebo had 3-month CDP (hazard ratio 0·79, 95% CI 0·65–0·95; relative risk reduction 21%; p=0·013). Adverse events occurred in 975 (89%) of 1099 patients receiving siponimod versus 445 (82%) of 546 patients receiving placebo; serious adverse events were reported for 197 (18%) patients in the siponimod group versus 83 (15%) patients in the placebo group. Lymphopenia, increased liver transaminase concentration, bradycardia and bradyarrhythmia at treatment initiation, macular oedema, hypertension, varicella zoster reactivation, and convulsions occurred more frequently with siponimod than with placebo. Initial dose titration mitigated cardiac first-dose effects. Frequencies of infections, malignancies, and fatalities did not differ between groups. Interpretation Siponimod reduced the risk of disability progression with a safety profile similar to that of other S1P modulators and is likely to be a useful treatment for SPMS. Funding Novartis Pharma AG.
Published: 2018

50. Thyroid disorders in alemtuzumab-treated multiple sclerosis patients: a Belgian consensus on diagnosis and management

Author: Pierrette Seeldrayers, Souraya El Sankari, Brigitte Decallonne, Emmanuel Bartholomé, Chantal Daumerie, Bart Van Wijmeersch, Miguel D'haeseleer, Valérie Delvaux, Faculty of Medicine and Pharmacy, and Clinical sciences
Subjects: Male, endocrine system, Pediatrics, medicine.medical_specialty, Consensus, Multiple Sclerosis, endocrine system diseases, Thyroid disorder, Clinical Neurology, Thyrotropin, 030209 endocrinology & metabolism, Consensus paper and Guideline, Antibodies, Monoclonal, Humanized, Multiple sclerosis, 03 medical and health sciences, 0302 clinical medicine, Belgium, Pregnancy, Neurologie, Humans, Medicine, Adverse effect, Alemtuzumab, Medicine(all), business.industry, Thyroid disease, Thyroid, General Medicine, Immune reconstitution, medicine.disease, Thyroid Diseases, Management, Autoimmune thyroid disease, Algorithm, Clinical trial, medicine.anatomical_structure, Clinical Trials, Phase III as Topic, Female, treated, Neurology (clinical), Thyroid function, business, 030217 neurology & neurosurgery, medicine.drug
Abstract: This paper deals with thyroid disease that can occur after treatment with alemtuzumab (humanized monoclonal anti-CD52) for relapsing–remitting multiple sclerosis (MS). The 5-year incidence of thyroid adverse events in phase 3 clinical trials is up to 40.7%. In most cases, the thyroid dysfunction is mild and easily manageable and only few serious thyroid adverse events have been reported. The need for patient education on the risk of thyroid dysfunction, as well as regular clinical and biochemical thyroid function screening is well described. However, practical clinical guidance in case of abnormal thyroid-related findings prior to or after alemtuzumab treatment is currently lacking. Therefore, a Belgian taskforce consisting of MS and thyroid experts was created in 2016, with the objective of issuing a clinical thyroid management algorithm based on available scientific evidence and personal experience with regard to alemtuzumab treatment-related thyroid adverse events., SCOPUS: ar.j, info:eu-repo/semantics/published
Published: 2018

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