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Prosperini L, Ruggieri S, Haggiag S, Tortorella C, Gasperini C. Disability patterns in multiple sclerosis: A meta-analysis on RAW and PIRA in the real-world context. Mult Scler 2024; 30:1309-1321. [PMID: 39082635 DOI: 10.1177/13524585241266180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
OBJECTIVE To summarize the current evidence on relapse-associated worsening (RAW) and progression independent of relapse activity (PIRA) through a quantitative synthesis of real-world studies. METHODS Scientific databases were searched to identify suitable articles. Random-effects meta-analyses, subgroup analyses and meta-regression models were ran to provide pooled estimates of RAW and PIRA events and to identify their potential moderators (PROSPERO registration: CRD42024503895). RESULTS Eighteen articles met the eligibility criteria, with a pooled sample size of 52,667 patients (93% relapsing-remitting, 6% clinically isolated syndrome and 1% progressive) followed for 2.4 to 12.1 years, yielding to 415,825 patient-years. Pooled event rates for RAW and PIRA were 1.6 (95 confidence interval (CI) = 1.1-2.1) and 3.1 (95% CI = 2.3-3.9) per 100 patient-years, respectively. Less RAW events were found in cohorts including patients with progressive course (β = -0.069, p = 0.006) and under high-efficacy disease-modifying treatments (DMTs) (β = -0.031, p = 0.007), while PIRA events were directly related to older age (β = 0.397, p = 0.027). In addition, we found significant differences in PIRA event rates according to the criteria adopted to define confirmed disability accrual (p < 0.05). DISCUSSION PIRA accounts for most events causing disability accumulation in the real-world setting, even at the earlier disease stages, whereas RAW represents a less frequent phenomenon, likely due to effective treatments. The detection and statistical analysis of PIRA outcomes pose challenges, raising the risk of erroneous inference. When interpreting our findings, caution is needed given the wide heterogeneity of included studies.
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Affiliation(s)
- Luca Prosperini
- MS Centre, Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Serena Ruggieri
- MS Centre, Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Shalom Haggiag
- MS Centre, Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Carla Tortorella
- MS Centre, Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Claudio Gasperini
- MS Centre, Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
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Akaishi T, Fujimori J, Yokote H, Nakashima I. Continuous diffuse brain atrophy independent of relapse as a hallmark of multiple sclerosis beginning from relapsing-remitting stage. Clin Neurol Neurosurg 2024; 242:108342. [PMID: 38772279 DOI: 10.1016/j.clineuro.2024.108342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND Neurodegenerative changes are observed in relapsing-remitting multiple sclerosis (RRMS) and are prominent in secondary progressive MS (SPMS). However, whether neurodegenerative changes accelerate and are altered after the transition into SPMS or in the presence of relapses remains uncertain. METHODS In this study, 73 patients with MS (seven with relapsing RRMS, 56 with relapse-free RRMS, and 10 with relapse-free SPMS) were evaluated for brain segmental volume changes over a 2-year follow-up period. Volume change was calculated using a within-subject unbiased longitudinal image analysis model. RESULTS The rates of brain volume change in the 11 brain regions evaluated were relatively similar among different brain regions. Moreover, they were similar among the relapsing RRMS, relapse-free RRMS, and SPMS groups, even after adjusting for age. CONCLUSIONS The relatively constant brain segmental atrophy rate throughout the disease course, regardless of relapse episodes, suggests that RRMS and SPMS are continuous, uniform, and silent progressing brain atrophy diseases on a spectrum.
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Affiliation(s)
- Tetsuya Akaishi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Juichi Fujimori
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
| | - Hiroaki Yokote
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Ichiro Nakashima
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
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Müller J, Cagol A, Lorscheider J, Tsagkas C, Benkert P, Yaldizli Ö, Kuhle J, Derfuss T, Sormani MP, Thompson A, Granziera C, Kappos L. Harmonizing Definitions for Progression Independent of Relapse Activity in Multiple Sclerosis: A Systematic Review. JAMA Neurol 2023; 80:1232-1245. [PMID: 37782515 DOI: 10.1001/jamaneurol.2023.3331] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Importance Emerging evidence suggests that progression independent of relapse activity (PIRA) is a substantial contributor to long-term disability accumulation in relapsing-remitting multiple sclerosis (RRMS). To date, there is no uniform agreed-upon definition of PIRA, limiting the comparability of published studies. Objective To summarize the current evidence about PIRA based on a systematic review, to discuss the various terminologies used in the context of PIRA, and to propose a harmonized definition for PIRA for use in clinical practice and future trials. Evidence Review A literature search was conducted using the search terms multiple sclerosis, PIRA, progression independent of relapse activity, silent progression, and progression unrelated to relapses in PubMed, Embase, Cochrane, and Web of Science, published between January 1990 and December 2022. Findings Of 119 identified single records, 48 eligible studies were analyzed. PIRA was reported to occur in roughly 5% of all patients with RRMS per annum, causing at least 50% of all disability accrual events in typical RRMS. The proportion of PIRA vs relapse-associated worsening increased with age, longer disease duration, and, despite lower absolute event numbers, potent suppression of relapses by highly effective disease-modifying therapy. However, different studies used various definitions of PIRA, rendering the comparability of studies difficult. Conclusion and Relevance PIRA is the most frequent manifestation of disability accumulation across the full spectrum of traditional MS phenotypes, including clinically isolated syndrome and early RRMS. The harmonized definition suggested here may improve the comparability of results in current and future cohorts and data sets.
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Affiliation(s)
- Jannis Müller
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Alessandro Cagol
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Johannes Lorscheider
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Charidimos Tsagkas
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Pascal Benkert
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Özgür Yaldizli
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Jens Kuhle
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Tobias Derfuss
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Maria Pia Sormani
- Department of Health Sciences, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Alan Thompson
- Queen Square MS Centre, UCL Institute of Neurology, London, United Kingdom
- NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Cristina Granziera
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
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Jafari Karegar S, Aryaeian N, Hajiluian G, Suzuki K, Shidfar F, Salehi M, Ashtiani BH, Farhangnia P, Delbandi AA. Ellagic acid effects on disease severity, levels of cytokines and T-bet, RORγt, and GATA3 genes expression in multiple sclerosis patients: a multicentral-triple blind randomized clinical trial. Front Nutr 2023; 10:1238846. [PMID: 37794975 PMCID: PMC10546207 DOI: 10.3389/fnut.2023.1238846] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/28/2023] [Indexed: 10/06/2023] Open
Abstract
Background Multiple sclerosis (MS) is a chronic autoimmune disease. Ellagic acid is a natural polyphenol and affects the fate of neurons through its anti-inflammatory and antioxidant properties. The present study aimed to investigate ellagic acid effects on disease severity, the expression of involved genes in the pathogenesis of MS, and the levels of related cytokines. Methods The present study was a triple-blind clinical trial. Eligible patients were randomly assigned to two groups: Ellagic acid (25 subjects) for 12 weeks, receiving 180 mg of Ellagic acid (Axenic, Australia) and the control group (25 subjects) receiving a placebo, before the main meals. Before and after the study, the data including general information, foods intake, physical activity, anthropometric data, expanded disability status scale (EDSS), general health questionnaire (GHQ) and pain rating index (PRI), fatigue severity scale (FSS) were assessed, as well as serum levels of interferon-gamma (IFNγ), interleukin-17 (IL-17), interleukin-4 (IL-4) and transforming growth factor-beta (TGF-β), nitric-oxide (NO) using enzyme-linked immunoassay (ELISA) method and expression of T-box transcription factor (Tbet), GATA Binding Protein 3 (GATA3), retinoic acid-related orphan receptor-γt (RORγt) and Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) genes were determined using Real-Time Quantitative Reverse Transcription PCR (RT-qPCR) method. Findings Ellagic acid supplementation led to a reduction in IFNγ, IL-17, NO and increased IL-4 in the ellagic acid group, however in the placebo group no such changes were observed (-24.52 ± 3.79 vs. -0.05 ± 0.02, p < 0.01; -5.37 ± 0.92 vs. 2.03 ± 1.03, p < 0.01; -18.03 ± 1.02 vs. -0.06 ± 0.05, p < 0.01, 14.69 ± 0.47 vs. -0.09 ± 0.14, p < 0.01, respectively). Ellagic acid supplementation had no effect on TGF-β in any of the study groups (p > 0.05). Also, the Tbet and RORγt genes expression decreased, and the GATA3 gene expression in the group receiving ellagic acid compared to control group significantly increased (0.52 ± 0.29 vs. 1.51 ± 0.18, p < 0.01, 0.49 ± 0.18 vs. 1.38 ± 0.14, p < 0.01, 1.71 ± 0.39 vs. 0.27 ± 0.10, p < 0.01). Also, ellagic acid supplementation led to significant decrease in EDSS, FSS and GHQ scores (p < 0.05), and no significant changes observed in PRI score (p > 0.05). Conclusion Ellagic acid supplementation can improve the health status of MS patients by reduction of the inflammatory cytokines and Tbet and RORγt gene expression, and increment of anti-inflammatory cytokines and GATA3 gene expression.Clinical trial registration: (https://en.irct.ir/trial/53020), IRCT20120415009472N22.
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Affiliation(s)
- Sahar Jafari Karegar
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Naheed Aryaeian
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ghazaleh Hajiluian
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | | | - Farzad Shidfar
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Salehi
- Department of Statistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | | | - Pooya Farhangnia
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Ali-Akbar Delbandi
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Immunology Research Center, Institute of Immunology and Infectious Disease, Iran University of Medical Sciences, Tehran, Iran
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5
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Bittner S, Pape K, Klotz L, Zipp F. Implications of immunometabolism for smouldering MS pathology and therapy. Nat Rev Neurol 2023:10.1038/s41582-023-00839-6. [PMID: 37430070 DOI: 10.1038/s41582-023-00839-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2023] [Indexed: 07/12/2023]
Abstract
Clinical symptom worsening in patients with multiple sclerosis (MS) is driven by inflammation compartmentalized within the CNS, which results in chronic neuronal damage owing to insufficient repair mechanisms. The term 'smouldering inflammation' summarizes the biological aspects underlying this chronic, non-relapsing and immune-mediated mechanism of disease progression. Smouldering inflammation is likely to be shaped and sustained by local factors in the CNS that account for the persistence of this inflammatory response and explain why current treatments for MS do not sufficiently target this process. Local factors that affect the metabolic properties of glial cells and neurons include cytokines, pH value, lactate levels and nutrient availability. This Review summarizes current knowledge of the local inflammatory microenvironment in smouldering inflammation and how it interacts with the metabolism of tissue-resident immune cells, thereby promoting inflammatory niches within the CNS. The discussion highlights environmental and lifestyle factors that are increasingly recognized as capable of altering immune cell metabolism and potentially responsible for smouldering pathology in the CNS. Currently approved MS therapies that target metabolic pathways are also discussed, along with their potential for preventing the processes that contribute to smouldering inflammation and thereby to progressive neurodegenerative damage in MS.
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Affiliation(s)
- Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
| | - Katrin Pape
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Luisa Klotz
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
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6
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Interrogating large multiple sclerosis registries and databases: what information can be gained? Curr Opin Neurol 2022; 35:271-277. [PMID: 35674068 DOI: 10.1097/wco.0000000000001057] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE OF REVIEW Although substantial progress has been made in understanding the natural history of multiple sclerosis (MS) and the development of new therapies, many questions concerning disease behavior and therapeutics remain to be answered. Data generated from real-world observational studies, based on large MS registries and databases and analyzed with advanced statistical methods, are offering the scientific community answers to some of these questions that are otherwise difficult or impossible to address. This review focuses on observational studies published in the last 2 years designed to compare the effectiveness of escalation vs. induction treatment strategies, to assess the effectiveness of treatment in pediatric-onset and late-onset MS, and to identify the clinical phenotype of secondary progressive (SP)MS. RECENT FINDINGS The main findings originating from real-world studies suggest that MS patients who will qualify for high-efficacy disease-modifying therapies (DMTs) should be offered these as early as possible to prevent irreversible accumulation of neurological disability. Especially pediatric patients derive substantial benefits from early treatment. In patients with late-onset MS, sustained exposure to DMTs may result in more favorable outcomes. Data-driven definitions are more accurate in defining transition to SPMS than diagnosis based solely on neurologists' judgment. SUMMARY Patients, physicians, industry, and policy-makers have all benefited from real-world evidence based on registry data, in answering questions of diagnostics, choice of treatment, and timing of treatment decisions.
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7
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Wiendl H, Gold R, Berger T, Derfuss T, Linker R, Mäurer M, Aktas O, Baum K, Berghoff M, Bittner S, Chan A, Czaplinski A, Deisenhammer F, Di Pauli F, Du Pasquier R, Enzinger C, Fertl E, Gass A, Gehring K, Gobbi C, Goebels N, Guger M, Haghikia A, Hartung HP, Heidenreich F, Hoffmann O, Kallmann B, Kleinschnitz C, Klotz L, Leussink VI, Leutmezer F, Limmroth V, Lünemann JD, Lutterotti A, Meuth SG, Meyding-Lamadé U, Platten M, Rieckmann P, Schmidt S, Tumani H, Weber F, Weber MS, Zettl UK, Ziemssen T, Zipp F. Multiple Sclerosis Therapy Consensus Group (MSTCG): position statement on disease-modifying therapies for multiple sclerosis (white paper). Ther Adv Neurol Disord 2021; 14:17562864211039648. [PMID: 34422112 PMCID: PMC8377320 DOI: 10.1177/17562864211039648] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 07/28/2021] [Indexed: 12/20/2022] Open
Abstract
Multiple sclerosis is a complex, autoimmune-mediated disease of the central nervous system characterized by inflammatory demyelination and axonal/neuronal damage. The approval of various disease-modifying therapies and our increased understanding of disease mechanisms and evolution in recent years have significantly changed the prognosis and course of the disease. This update of the Multiple Sclerosis Therapy Consensus Group treatment recommendation focuses on the most important recommendations for disease-modifying therapies of multiple sclerosis in 2021. Our recommendations are based on current scientific evidence and apply to those medications approved in wide parts of Europe, particularly German-speaking countries (Germany, Austria, and Switzerland).
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Affiliation(s)
- Heinz Wiendl
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149 Münster
| | - Ralf Gold
- Neurologie, St. Josef-Hospital, Klinikum der Ruhr-Universität Bochum, Gudrunstraße 56, 44791 Bochum, Germany
| | - Thomas Berger
- Universitätsklinik für Neurologie, Medizinische Universität Wien, Wien, Austria
| | - Tobias Derfuss
- Neurologische Klinik und Poliklinik, Universitätsspital Basel, Basel, Switzerland
| | - Ralf Linker
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Regensburg, Regensburg, Germany
| | - Mathias Mäurer
- Neurologie und Neurologische Frührehabilitation, Klinikum Würzburg Mitte gGmbH, Standort Juliusspital, Würzburg, Germany
| | - Orhan Aktas
- Neurologische Klinik, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | - Karl Baum
- Neurologie, Klinik Hennigsdorf, Hennigsdorf, Germany
| | | | - Stefan Bittner
- Klinik für Neurologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Germany
| | - Andrew Chan
- Neurologie, Inselspital, Universitätsspital Bern, Bern, Switzerland
| | | | | | | | | | - Christian Enzinger
- Universitätsklinik für Neurologie, Medizinische Universität Graz, Graz, Austria
| | - Elisabeth Fertl
- Wiener Gesundheitsverbund, Neurologische Abteilung, Wien, Austria
| | - Achim Gass
- Neurologische Klinik, Universitätsmedizin Mannheim/Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Klaus Gehring
- Berufsverband Deutscher Nervenärzte (BVDN), Neurozentrum am Klosterforst, Itzehoe, Germany
| | | | - Norbert Goebels
- Klinik für Neurologie, Universitätsklinikum Düsseldorf, Düsseldorf, Germany
| | - Michael Guger
- Klinik für Neurologie 2, Kepler Universitätsklinikum, Linz, Austria
| | | | - Hans-Peter Hartung
- Klinik für Neurologie, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany; Klinik für Neurologie, Medizinische Universität Wien, Wien, Austria
| | - Fedor Heidenreich
- Diakovere Krankenhaus, Henriettenstift, Klinik für Neurologie und klinische Neurophysiologie, Hannover, Germany
| | - Olaf Hoffmann
- Klinik für Neurologie, Alexianer St. Josefs-Krankenhaus Potsdam, Potsdam, Germany; NeuroCure, Charité-Universitätsmedizin Berlin, Berlin, Germany; Medizinische Hochschule Brandenburg Theodor Fontane, Neuruppin, Germany
| | - Boris Kallmann
- Kallmann Neurologie, Multiple Sklerose Zentrum Bamberg, Bamberg, Germany
| | | | - Luisa Klotz
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Münster, Germany
| | | | - Fritz Leutmezer
- Neurologie, Universitäts-Klinik für Neurologie Wien, Wien, Austria
| | - Volker Limmroth
- Klinik für Neurologie, Krankenhaus Köln-Merheim, Köln, Germany
| | - Jan D Lünemann
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Münster, Germany
| | | | - Sven G Meuth
- Neurologische Klinik, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | | | - Michael Platten
- Neurologische Klinik, Universitätsmedizin Mannheim/Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Peter Rieckmann
- Medical Park, Fachklinik für Neurologie, Zentrum für Klinische Neuroplastizität, Bischofswiesen, Germany
| | - Stephan Schmidt
- Neurologie, Gesundheitszentrum St. Johannes Hospital, Bonn, Germany
| | - Hayrettin Tumani
- Fachklinik für Neurologie Dietenbronn, Akademisches Krankenhaus der Universität Ulm, Ulm, Germany
| | - Frank Weber
- Neurologie, Sana Kliniken, Cham, Switzerland
| | - Martin S Weber
- Institut für Neuropathologie, Neurologische Klinik, Universitätsmedizin Göttingen, Göttingen, Germany
| | - Uwe K Zettl
- Klinik und Poliklinik für Neurologie, Zentrum für Nervenheilkunde, Universitätsmedizin Rostock, Rostock, Germany
| | - Tjalf Ziemssen
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden, Germany
| | - Frauke Zipp
- Klinik und Poliklinik für Neurologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Langenbeckstraße 1, 55131 Mainz, Germany
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8
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Wiendl H, Gold R, Berger T, Derfuss T, Linker R, Mäurer M, Stangel M, Aktas O, Baum K, Berghoff M, Bittner S, Chan A, Czaplinski A, Deisenhammer F, Di Pauli F, Du Pasquier R, Enzinger C, Fertl E, Gass A, Gehring K, Gobbi C, Goebels N, Guger M, Haghikia A, Hartung HP, Heidenreich F, Hoffmann O, Hunter ZR, Kallmann B, Kleinschnitz C, Klotz L, Leussink V, Leutmezer F, Limmroth V, Lünemann JD, Lutterotti A, Meuth SG, Meyding-Lamadé U, Platten M, Rieckmann P, Schmidt S, Tumani H, Weber MS, Weber F, Zettl UK, Ziemssen T, Zipp F. [Multiple sclerosis treatment consensus group (MSTCG): position paper on disease-modifying treatment of multiple sclerosis 2021 (white paper)]. DER NERVENARZT 2021; 92:773-801. [PMID: 34297142 PMCID: PMC8300076 DOI: 10.1007/s00115-021-01157-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/07/2021] [Indexed: 12/16/2022]
Abstract
Die Multiple Sklerose ist eine komplexe, autoimmun vermittelte Erkrankung des zentralen Nervensystems, charakterisiert durch inflammatorische Demyelinisierung sowie axonalen/neuronalen Schaden. Die Zulassung verschiedener verlaufsmodifizierender Therapien und unser verbessertes Verständnis der Krankheitsmechanismen und -entwicklung in den letzten Jahren haben die Prognose und den Verlauf der Erkrankung deutlich verändert. Diese Aktualisierung der Behandlungsempfehlung der Multiple Sklerose Therapie Konsensus Gruppe konzentriert sich auf die wichtigsten Empfehlungen für verlaufsmodifizierende Therapien der Multiplen Sklerose im Jahr 2021. Unsere Empfehlungen basieren auf aktuellen wissenschaftlichen Erkenntnissen und gelten für diejenigen Medikamente, die in weiten Teilen Europas, insbesondere in den deutschsprachigen Ländern (Deutschland, Österreich, Schweiz), zugelassen sind.
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Affiliation(s)
- Heinz Wiendl
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Deutschland. .,Steuerungsgruppe der MSTKG, Münster, Deutschland. .,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland.
| | - Ralf Gold
- Steuerungsgruppe der MSTKG, Münster, Deutschland. .,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland. .,Neurologie, St. Josef-Hospital, Klinikum der Ruhr-Universität Bochum, Gudrunstraße 56, 44791, Bochum, Deutschland.
| | - Thomas Berger
- Steuerungsgruppe der MSTKG, Münster, Deutschland.,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland.,Universitätsklinik für Neurologie, Medizinische Universität Wien, Wien, Österreich
| | - Tobias Derfuss
- Steuerungsgruppe der MSTKG, Münster, Deutschland.,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland.,Neurologische Klinik und Poliklinik, Universitätsspital Basel, Basel, Schweiz
| | - Ralf Linker
- Steuerungsgruppe der MSTKG, Münster, Deutschland.,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland.,Klinik und Poliklinik für Neurologie, Universitätsklinikum Regensburg, Regensburg, Deutschland
| | - Mathias Mäurer
- Steuerungsgruppe der MSTKG, Münster, Deutschland.,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland.,Neurologie und Neurologische Frührehabilitation, Klinikum Würzburg Mitte gGmbH, Standort Juliusspital, Würzburg, Deutschland
| | - Martin Stangel
- Steuerungsgruppe der MSTKG, Münster, Deutschland.,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland.,Klinische Neuroimmunologie und Neurochemie, Klinik für Neurologie, Medizinische Hochschule Hannover, Hannover, Deutschland
| | - Orhan Aktas
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Karl Baum
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Martin Berghoff
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Stefan Bittner
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Andrew Chan
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Adam Czaplinski
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | | | - Franziska Di Pauli
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Renaud Du Pasquier
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Christian Enzinger
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Elisabeth Fertl
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Achim Gass
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Klaus Gehring
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Claudio Gobbi
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Norbert Goebels
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Michael Guger
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Aiden Haghikia
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Hans-Peter Hartung
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Fedor Heidenreich
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Olaf Hoffmann
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Zoë R Hunter
- Klinik für Neurologie mit Institut für Translationale Neurologie, Universitätsklinikum Münster, Münster, Deutschland
| | - Boris Kallmann
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | | | - Luisa Klotz
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Verena Leussink
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Fritz Leutmezer
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Volker Limmroth
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Jan D Lünemann
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Andreas Lutterotti
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Sven G Meuth
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Uta Meyding-Lamadé
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Michael Platten
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Peter Rieckmann
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Stephan Schmidt
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Hayrettin Tumani
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Martin S Weber
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Frank Weber
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Uwe K Zettl
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Tjalf Ziemssen
- Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland
| | - Frauke Zipp
- Steuerungsgruppe der MSTKG, Münster, Deutschland.,Multiple Sklerose Therapie Konsensus Gruppe (MSTKG), Münster, Deutschland.,Klinik und Poliklinik für Neurologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Langenbeckstraße 1, 55131, Mainz, Deutschland
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9
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Bitirgen G, Akpinar Z, Uca AU, Ozkagnici A, Petropoulos IN, Malik RA. Progressive Loss of Corneal and Retinal Nerve Fibers in Patients With Multiple Sclerosis: A 2-Year Follow-up Study. Transl Vis Sci Technol 2020; 9:37. [PMID: 33384891 PMCID: PMC7757607 DOI: 10.1167/tvst.9.13.37] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 11/08/2020] [Indexed: 12/13/2022] Open
Abstract
Purpose To determine longitudinal alterations in corneal nerve fiber morphology, dendritic cell (DC) density, and retinal nerve fiber layer (RNFL) thickness over 2 years in patients with multiple sclerosis (MS). Methods Thirty-one consecutive patients with relapsing-remitting MS (RRMS) underwent assessment of the Kurtzke Expanded Disability Status Scale (EDSS), Multiple Sclerosis Severity Score (MSSS), corneal confocal microscopy to quantify corneal subbasal nerve morphology and DC density, and spectral-domain optical coherence tomography to quantify RNFL thickness at baseline and after 2 years. Results There was a significant reduction in corneal nerve fiber area (CNFA) (P = 0.003), nerve fiber width (CNFW) (P = 0.005), and RNFL thickness (P = 0.004) with an increase in EDSS (P = 0.01) over 2 years. The change in corneal nerve fiber density (CNFD) correlated with the change in EDSS (ρ = -0.468; P = 0.008), MSSS (ρ = -0.442; P = 0.01), DC density (ρ = -0.550; P = 0.001), and RNFL (ρ = 0.472; P = 0.007). The change in corneal nerve fiber length (CNFL) correlated with the change in EDSS (ρ = -0.445; P = 0.01) and MSSS (ρ = -0.490; P = 0.005). Furthermore, there was a significant decrease in CNFL (P < 0.001), CNFA (P = 0.02), CNFW (P = 0.04), corneal total branch density (P = 0.01), and RNFL thickness (P = 0.02) and a significant increase in DC density (P = 0.04) in patients with worsening EDSS (n = 15). Conclusions Corneal confocal microscopy can be used to detect progressive corneal nerve fiber loss that relates to a progression of disability in patients with RRMS. Translational Relevance Corneal confocal microscopy acts as a sensitive imaging biomarker for progressive nerve degeneration in patients with MS.
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Affiliation(s)
- Gulfidan Bitirgen
- Department of Ophthalmology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Zehra Akpinar
- Department of Neurology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Ali Ulvi Uca
- Department of Neurology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Ahmet Ozkagnici
- Department of Ophthalmology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | | | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Research Division, Qatar Foundation, Doha, Qatar.,Institute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
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