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Kantorová E, Vítková M, Martiníková M, Cimprichová A, Fedicˇová M, Kovácˇová S, Mako M, Cisár J, Hancˇinová V, Szilasiová J, Koleda P, RoháIˇová J, Polóniová J, Karlík M, Slezáková D, Klímová E, Maciak M, Kurcˇa E, Hnilicová P. Identification of alemtuzumab-suitable multiple sclerosis patients in Slovakia and sequencing of post-alemtuzumab immunomodulatory treatment. Ther Adv Neurol Disord 2024; 17:17562864241285556. [PMID: 39494112 PMCID: PMC11528642 DOI: 10.1177/17562864241285556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 09/02/2024] [Indexed: 11/05/2024] Open
Abstract
Background Alemtuzumab (ALEM) is a humanised monoclonal antibody that depletes circulating lymphocytes by selectively targeting CD52, which is expressed in high levels on T- and B-lymphocytes. This depletion is followed by lymphocyte repopulation and a cytokine expression shift towards a lesser inflammatory profile, both of which may contribute to prolonged efficacy. National recommendations for enrolling and treating multiple sclerosis (MS) patients with ALEM have been established. However, there are no recommendations in place for the treatment of MS reactivation after the ALEM treatment. Objectives To evaluate the effectiveness and safety of the use of ALEM and to analyse subsequent disease-modifying treatments (DMTs). A multidimensional prediction model was developed to make a patient-specific prognosis regarding the response to ALEM. Design A multicentre, prospective, non-controlled, non-interventional, observational cohort study. Methods Relapsing multiple sclerosis patients (RMSp) who received ⩾1 dose of ALEM were enrolled. In each treatment year, the following baseline and prospective data were collected: age, MS history, number, type and duration of previous disease-modifying treatment (PDMT), relapse rate (REL), expanded disability status scale (EDSS), magnetic resonance imaging and serious adverse events (AE). In cases of reactivation of MS, all data about the subsequent DMT were collected. Results A total of 142 RMSp from 10 MS Slovak Centres fulfilled the inclusion criteria. The average age was 35 years (standard error 8.56). The overall average EDSS was 3.87 (1.46) when ALEM was started. The average duration of PDMT was 6.0 (4.04) years, and the median number of PDMTs was 3 (0-5), while the patients were mostly treated with 2 or 3 DMTs (>65.00%). Post-ALEM treatment was needed in 39 cases (27.46%). The most frequent post-ALEM treatment indicated was ocrelizumab, followed by natalizumab (NAT), siponimod and cladribine. The ocrelizumab and NAT treatment bring little benefit to patients. Siponimod showed less EDSS increase in contrast to ocrelizumab and NAT. Another repopulation therapy, cladribine, may also be an effective option. Statistically significant predictors for the expected EDSS are age (p-value <0.0001), number of ALEM cycles (0.0066), high number of PDMT (0.0459) and the occurrence of relapses (<0.0001). There was no statistically significant effect on the patient's gender (0.6038), duration of disease-modifying treatment before alemtuzumab (0.4466), or the occurrence of AE (0.6668). Conclusion The study confirms the positive effect of ALEM on clinical and radiological outcomes. We need more data from long-term sequencing studies.
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Affiliation(s)
- Ema Kantorová
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala hora 4, Martin 036 01, Slovakia
| | - Marianna Vítková
- Clinic of Neurology, Pavol Jozef Šafárik University in Košice, Košice, Slovakia
| | - Martina Martiníková
- Clinic of Neurology, F.D. Roosevelt University Hospital in Banská Bystrica, Banská Bystrica, Slovakia
| | - Andrea Cimprichová
- Clinic of Neurology, University Hospital in Trencˇín, Trencˇín, Slovakia
| | - Miriam Fedicˇová
- Clinic of Neurology, Pavol Jozef Šafárik University in Košice, Košice, Slovakia
| | | | - Miroslav Mako
- Clinic of Neurology, Trnava University in Trnava, Slovakia
| | - Juraj Cisár
- Clinic of Neurology, Trnava University in Trnava, Slovakia
| | - Viera Hancˇinová
- I. Clinic of Neurology, Comenius University in Bratislava, Bratislava, Slovakia
| | - Jarmila Szilasiová
- Clinic of Neurology, Pavol Jozef Šafárik University in Košice, Košice, Slovakia
| | - Peter Koleda
- Department of Neurology, Military Hospital Ružomberok, Ružomberok, Slovakia
| | - Jana RoháIˇová
- Department of Neurology, Military Hospital Ružomberok, Ružomberok, Slovakia
| | - Jana Polóniová
- Department of Neurology, Military Hospital Ružomberok, Ružomberok, Slovakia
| | - Martin Karlík
- II. Clinic of Neurology, Comenius University in Bratislava, Bratislava, Slovakia
| | - Darina Slezáková
- II. Clinic of Neurology, Comenius University in Bratislava, Bratislava, Slovakia
| | | | - Matúš Maciak
- Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
| | - Egon Kurcˇa
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Petra Hnilicová
- Biomedical Centre, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
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Freedman MS, Coyle PK, Hellwig K, Singer B, Wynn D, Weinstock-Guttman B, Markovic-Plese S, Galazka A, Dangond F, Korich J, Reder AT. Twenty Years of Subcutaneous Interferon-Beta-1a for Multiple Sclerosis: Contemporary Perspectives. Neurol Ther 2024; 13:283-322. [PMID: 38206453 PMCID: PMC10951191 DOI: 10.1007/s40120-023-00565-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/06/2023] [Indexed: 01/12/2024] Open
Abstract
Multiple sclerosis (MS) is a chronic, progressive, inflammatory disorder of the central nervous system. Relapsing-remitting MS (RRMS), the most common form of the disease, is characterized by transient neurological dysfunction with concurrent accumulation of disability. Over the past three decades, disease-modifying therapies (DMTs) capable of reducing the frequency of relapses and slowing disability worsening have been studied and approved for use in patients with RRMS. The first DMTs were interferon-betas (IFN-βs), which were approved in the 1990s. Among them was IFN-β-1a for subcutaneous (sc) injection (Rebif®), which was approved for the treatment of MS in Europe and Canada in 1998 and in the USA in 2002. Twenty years of clinical data and experience have supported the efficacy and safety of IFN-β-1a sc in the treatment of RRMS, including pivotal trials, real-world data, and extension studies lasting up to 15 years past initial treatment. Today, IFN-β-1a sc remains an important therapeutic option in clinical use, especially around pregnancy planning and lactation, and may also be considered for aging patients, in which MS activity declines and long-term immunosuppression associated with some alternative therapies is a concern. In addition, IFN-β-1a sc is used as a comparator in many clinical studies and provides a framework for research into the mechanisms by which MS begins and progresses.
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Affiliation(s)
- Mark S Freedman
- Department of Medicine, University of Ottawa, Ottawa, ON, K1H 8L6, Canada.
- The Ottawa Hospital Research Institute, 501 Smyth, Ottawa, ON, K1H 8L6, Canada.
| | - Patricia K Coyle
- Department of Neurology, Renaissance School of Medicine, Stony Brook University, New York, NY, 11794, USA
| | - Kerstin Hellwig
- Katholisches Klinikum Bochum, Ruhr University, 44787, Bochum, Germany
| | - Barry Singer
- The MS Center for Innovations in Care, Missouri Baptist Medical Center, 3009 N. Ballas Road, Suite 105B, St. Louis, MO, 63131, USA
| | - Daniel Wynn
- Neurology MS Center, Consultants in Neurology, Ltd, 1535 Lake Cook Road, Suite 601, Northbrook, IL, 60062, USA
| | - Bianca Weinstock-Guttman
- Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY, 14215, USA
- Jacobs MS Center for Treatment and Research, Buffalo, NY, 14202, USA
- Pediatric MS Center, NY State MS Consortium, 1010 Main Street, Buffalo, NY, 14203, USA
| | - Silva Markovic-Plese
- Division of Neuroimmunology, Department of Neurology, Thomas Jefferson University, 900 Walnut St, Rm 305-B, Philadelphia, PA, 19107, USA
| | | | - Fernando Dangond
- EMD Serono Research & Development Institute Inc., an affiliate of Merck GKaA, Billerica, MA, 01821, USA
| | - Julie Korich
- EMD Serono Inc., an affiliate of Merck KGaA, Rockland, MA, 02370, USA
| | - Anthony T Reder
- Department of Neurology A-205, University of Chicago Medicine, MC-2030, 5841 S Maryland Ave, Chicago, IL, 60637, USA
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3
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Spelman T, Magyari M, Butzkueven H, Van Der Walt A, Vukusic S, Trojano M, Iaffaldano P, Horáková D, Drahota J, Pellegrini F, Hyde R, Duquette P, Lechner-Scott J, Sajedi SA, Lalive P, Shaygannejad V, Ozakbas S, Eichau S, Alroughani R, Terzi M, Girard M, Kalincik T, Grand'Maison F, Skibina O, Khoury SJ, Yamout B, Sa MJ, Gerlach O, Blanco Y, Karabudak R, Oreja-Guevara C, Altintas A, Hughes S, McCombe P, Ampapa R, de Gans K, McGuigan C, Soysal A, Prevost J, John N, Inshasi J, Stawiarz L, Manouchehrinia A, Forsberg L, Sellebjerg F, Glaser A, Pontieri L, Joensen H, Rasmussen PV, Sejbaek T, Poulsen MB, Christensen JR, Kant M, Stilund M, Mathiesen H, Hillert J. Predictors of treatment switching in the Big Multiple Sclerosis Data Network. Front Neurol 2023; 14:1274194. [PMID: 38187157 PMCID: PMC10771327 DOI: 10.3389/fneur.2023.1274194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/27/2023] [Indexed: 01/09/2024] Open
Abstract
Background Treatment switching is a common challenge and opportunity in real-world clinical practice. Increasing diversity in disease-modifying treatments (DMTs) has generated interest in the identification of reliable and robust predictors of treatment switching across different countries, DMTs, and time periods. Objective The objective of this retrospective, observational study was to identify independent predictors of treatment switching in a population of relapsing-remitting MS (RRMS) patients in the Big Multiple Sclerosis Data Network of national clinical registries, including the Italian MS registry, the OFSEP of France, the Danish MS registry, the Swedish national MS registry, and the international MSBase Registry. Methods In this cohort study, we merged information on 269,822 treatment episodes in 110,326 patients from 1997 to 2018 from five clinical registries. Patients were included in the final pooled analysis set if they had initiated at least one DMT during the relapsing-remitting MS (RRMS) stage. Patients not diagnosed with RRMS or RRMS patients not initiating DMT therapy during the RRMS phase were excluded from the analysis. The primary study outcome was treatment switching. A multilevel mixed-effects shared frailty time-to-event model was used to identify independent predictors of treatment switching. The contributing MS registry was included in the pooled analysis as a random effect. Results Every one-point increase in the Expanded Disability Status Scale (EDSS) score at treatment start was associated with 1.08 times the rate of subsequent switching, adjusting for age, sex, and calendar year (adjusted hazard ratio [aHR] 1.08; 95% CI 1.07-1.08). Women were associated with 1.11 times the rate of switching relative to men (95% CI 1.08-1.14), whilst older age was also associated with an increased rate of treatment switching. DMTs started between 2007 and 2012 were associated with 2.48 times the rate of switching relative to DMTs that began between 1996 and 2006 (aHR 2.48; 95% CI 2.48-2.56). DMTs started from 2013 onwards were more likely to switch relative to the earlier treatment epoch (aHR 8.09; 95% CI 7.79-8.41; reference = 1996-2006). Conclusion Switching between DMTs is associated with female sex, age, and disability at baseline and has increased in frequency considerably in recent years as more treatment options have become available. Consideration of a patient's individual risk and tolerance profile needs to be taken into account when selecting the most appropriate switch therapy from an expanding array of treatment choices.
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Affiliation(s)
- Tim Spelman
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- MSBase Foundation, Melbourne, VIC, Australia
| | - Melinda Magyari
- The Danish Multiple Sclerosis Registry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Glostrup, Copenhagen, Denmark
| | - Helmut Butzkueven
- MSBase Foundation, Melbourne, VIC, Australia
- MS and Neuroimmunology Research, Central Clinical School, Alfred and Box Hill Hospitals, Monash University, Melbourne, VIC, Australia
| | - Anneke Van Der Walt
- MSBase Foundation, Melbourne, VIC, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Sandra Vukusic
- Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France
- Centre des Neurosciences de Lyon, L'Institut national de la santé et de la recherche médicale 1028 et Centre national de la recherche scientifique joint research units5292, Lyon, France
- Faculté de Médicine Lyon-Est, Université Claude Bernard Lyon 1, Villeurbanne, Auvergne-Rhône-Alpes, France
| | - Maria Trojano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Pietro Iaffaldano
- Department of Translational Biomedicine and Neuroscience, DiBraiN, University of Bari Aldo Moro, Bari, Italy
| | - Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Jirí Drahota
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Fabio Pellegrini
- Biogen International GmbH, Zug, Switzerland
- Biogen Digital Health, Biogen Spain, Madrid, Spain
| | | | - Pierre Duquette
- University of Montreal Hospital Research Centre and Universite de Montreal, Montreal, QC, Canada
| | - Jeannette Lechner-Scott
- University Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Hunter New England Health, John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Seyed Aidin Sajedi
- Department of Neurology, Neuroscience Research Center, Golestan University of Medical Sciences, Gogan, Iran
| | - Patrice Lalive
- Faculty of Medicine, Division of Neurology, Geneva University Hospital, Geneva, Switzerland
| | | | | | - Sara Eichau
- Department of Neurology, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq, Kuwait
| | - Murat Terzi
- Medical Faculty, 19 Mayis University, Samsun, Türkiye
| | - Marc Girard
- University of Montreal Hospital Research Centre and Universite de Montreal, Montreal, QC, Canada
| | - Tomas Kalincik
- Clinical Outcomes Research Unit, Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | | | - Olga Skibina
- MS and Neuroimmunology Research, Central Clinical School, Alfred and Box Hill Hospitals, Monash University, Melbourne, VIC, Australia
| | - Samia J. Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Bassem Yamout
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Maria Jose Sa
- Department of Neurology, Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal
| | - Oliver Gerlach
- Academic MS Center Zuyderland, Department of Neurology, Zuyderland Medical Center, Sittard-Geleen, Netherlands
| | - Yolanda Blanco
- Center of Neuroimmunology, Service of Neurology, Hospital Clinic de Barcelona, Barcelona, Spain
| | | | | | - Ayse Altintas
- Department of Neurology, School of Medicine and Koc University Research Center for Translational Medicine (KUTTAM), Koc University, Istanbul, Türkiye
| | | | | | | | | | | | - Aysun Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Türkiye
| | | | - Nevin John
- Monash Health, Melbourne, VIC, Australia
| | | | - Leszek Stawiarz
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Ali Manouchehrinia
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Lars Forsberg
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Finn Sellebjerg
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Glostrup, Copenhagen, Denmark
| | - Anna Glaser
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Luigi Pontieri
- The Danish Multiple Sclerosis Registry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Hanna Joensen
- The Danish Multiple Sclerosis Registry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | | | - Tobias Sejbaek
- Department of Neurology, Southwest Jutland Hospital, University Hospital of Southern Denmark, Esbjerg, Denmark
| | - Mai Bang Poulsen
- Department of Neurology, Nordsjællands Hospital, Hillerød, Denmark
| | - Jeppe Romme Christensen
- The Danish Multiple Sclerosis Registry, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - Matthias Kant
- Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, Aabenraa, Denmark
| | - Morten Stilund
- Department of Neurology, Physiotherapy and Occupational Therapy, Gødstrup Hospital, Herning, Denmark
- NIDO | Centre for Research and Education, Gødstrup Hospital, Herning, Denmark
| | - Henrik Mathiesen
- Department of Neurology, Copenhagen University Hospital Herlev and Gentofte, København, Denmark
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
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Bellucci G, Albanese A, Rizzi C, Rinaldi V, Salvetti M, Ristori G. The value of Interferon β in multiple sclerosis and novel opportunities for its anti-viral activity: a narrative literature review. Front Immunol 2023; 14:1161849. [PMID: 37334371 PMCID: PMC10275407 DOI: 10.3389/fimmu.2023.1161849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 05/24/2023] [Indexed: 06/20/2023] Open
Abstract
Interferon-beta (IFN-β) for Multiple Sclerosis (MS) is turning 30. The COVID-19 pandemic rejuvenated the interest in interferon biology in health and disease, opening translational opportunities beyond neuroinflammation. The antiviral properties of this molecule are in accord with the hypothesis of a viral etiology of MS, for which a credible culprit has been identified in the Epstein-Barr Virus. Likely, IFNs are crucial in the acute phase of SARS-CoV-2 infection, as demonstrated by inherited and acquired impairments of the interferon response that predispose to a severe COVID-19 course. Accordingly, IFN-β exerted protection against SARS-CoV-2 in people with MS (pwMS). In this viewpoint, we summarize the evidence on IFN-β mechanisms of action in MS with a focus on its antiviral properties, especially against EBV. We synopsize the role of IFNs in COVID-19 and the opportunities and challenges of IFN-β usage for this condition. Finally, we leverage the lessons learned in the pandemic to suggest a role of IFN-β in long-COVID-19 and in special MS subpopulations.
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Affiliation(s)
- Gianmarco Bellucci
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Sapienza University of Rome, Rome, Italy
| | - Angela Albanese
- Merck Serono S.p.A., An Affiliate of Merck KGaA, Rome, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Caterina Rizzi
- Merck Serono S.p.A., An Affiliate of Merck KGaA, Rome, Italy
| | - Virginia Rinaldi
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Sapienza University of Rome, Rome, Italy
| | - Marco Salvetti
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Sapienza University of Rome, Rome, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy
| | - Giovanni Ristori
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Sapienza University of Rome, Rome, Italy
- Neuroimmunology Unit, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Santa Lucia, Rome, Italy
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5
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Kokas Z, Sandi D, Fricska-Nagy Z, Füvesi J, Biernacki T, Köves Á, Fazekas F, Birkás AJ, Katona G, Kovács K, Milanovich D, Dobos E, Kapás I, Jakab G, Csépány T, Bense E, Mátyás K, Rum G, Szolnoki Z, Deme I, Jobbágy Z, Kriston D, Gerócs Z, Diószeghy P, Bors L, Varga A, Kerényi L, Molnár G, Kristóf P, Nagy ZÁ, Sátori M, Imre P, Péntek S, Klivényi P, Kincses ZT, Vécsei L, Bencsik K. Do Hungarian multiple sclerosis care units fulfil international criteria? PLoS One 2022; 17:e0264328. [PMID: 35239686 PMCID: PMC8893632 DOI: 10.1371/journal.pone.0264328] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 02/08/2022] [Indexed: 12/14/2022] Open
Abstract
A patients Because of the past 3 decades’ extensive research, several disease modifying therapies became available, thus a paradigm change is multiple sclerosis care was necessary. In 2018 a therapeutic guideline was created recommending that treatment of persons with multiple sclerosis should take place in specified care units where the entire spectrum of disease modifying therapies is available, patient monitoring is ensured, and therapy side effects are detected and treated promptly. In 2019 multiple sclerosis care unit criteria were developed, emphasizing personnel and instrumental requirements to provide most professional care. However, no survey was conducted assessing the real-world adaptation of these criteria. Objective To assess whether Hungarian care units fulfil international criteria. Methods A self-report questionnaire was assembled based on international guidelines and sent to Hungarian care units focusing on 3 main aspects: personnel and instrumental background, disease-modifying therapy use, number of people living with multiple sclerosis receiving care in care units. Data on number of persons with multiple sclerosis were compared to Hungarian prevalence estimates. Descriptive statistics were used to analyse data. Results Out of 27 respondent care units, 3 fulfilled minimum requirements and 7 fulfilled minimum and recommended requirements. The least prevalent neighbouring specialties were spasticity and pain specialist, and neuro-ophthalmologist and oto-neurologist. Only 15 centres used all available disease modifying therapies. A total number of 7213 people with multiple sclerosis received care in 27 respondent centres. Compared to prevalence estimates, 2500 persons with multiple sclerosis did not receive multiple sclerosis specific care in Hungary. Conclusion Less than half of Hungarian care units provided sufficient care for people living with multiple sclerosis. Care units employing fewer neighbouring specialties, might have difficulties diagnosing and providing appropriate care for persons with multiple sclerosis, especially for people with progressive disease course, contributing to the reported low number of persons living with multiple sclerosis.
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Affiliation(s)
- Zsófia Kokas
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Dániel Sandi
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Tamás Biernacki
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Ágnes Köves
- Department of Neurology, Bajcsy-Zsilinszky Hospital, Budapest, Hungary
| | - Ferenc Fazekas
- Department of Neurology, Gyula Nyírő Hospital and National Institute of Psychiatry and Addictions, Budapest, Hungary
| | - Adrienne Jóri Birkás
- Department of Neurology, National Institute of Clinical Nerosciences, Budapest, Hungary
| | - Gabriella Katona
- Department of Neurology, National Institute of Rheumatology and Physiotherapy, Budapest, Hungary
| | | | | | - Enikő Dobos
- Department of Neurology, Saint Imre Hospital and University Teaching Hospital, Budapest, Hungary
| | - István Kapás
- Department of Neurology, Saint János Hospital, Budapest, Hungary
| | - Gábor Jakab
- Department of Neurology, Uzsoki Hospital, Budapest, Hungary
| | - Tünde Csépány
- Division of Neurology, University of Debrecen Clinical Center, Debrecen, Hungary
| | - Erzsébet Bense
- Department of Neurology, University of Debrecen Faculty of Medicine, Debrecen, Hungary
| | - Klotild Mátyás
- Department of Neurology, Ferenc Markhot Teaching Hospital, Eger, Hungary
| | - Gábor Rum
- Department of Neurology, Aladár Petz University Teaching Hospital, Győr, Hungary
| | - Zoltán Szolnoki
- Department of Neurology, Kálmán Pándy County Hospital, Gyula, Hungary
| | - István Deme
- Department of Neuology, Mór Kaposi Teaching Hospital, Kaposvár, Hungary
| | - Zita Jobbágy
- Department of Neurology, Kecskemét County Hospital, Kecskemét, Hungary
| | - Dávid Kriston
- Department of Neurology, Borsod-Abaúj-Zemplén County Central Hospital and University Teaching Hospital, Miskolc, Hungary
| | - Zsuzsanna Gerócs
- Department of Neurology, Dorottya Kanizsai Hospital, Nagykanizsa, Hungary
| | - Péter Diószeghy
- Department of Neurology, Aladár Jósa Teaching Hospital, Nyíregyháza, Hungary
| | - László Bors
- Department of Neurology, University of Pécs Clinical Center Pécs, Pécs, Hungary
| | - Adrián Varga
- Department of Neurology, Saint Lázár County Hospital, Salgótarján, Hungary
| | - Levente Kerényi
- Department of Neurology, Fejér County Saint György University Teaching Hospital, Székesfehérvár, Hungary
| | - Gabriella Molnár
- Department of Neurology, János Balassa Hospital, Szekszárd, Hungary
| | - Piroska Kristóf
- Department of Neurology, Jász-Nagykun-Szolnok County Géza Hetényi Hospital, Szolnok, Hungary
| | - Zsuzsanna Ágnes Nagy
- Department of Neurology, Markusovszky University Teaching Hospital, Szombathely, Hungary
| | - Mária Sátori
- Department of Neurology, Saint Borbála Hospital, Tatabánya, Hungary
| | - Piroska Imre
- Department of Neurology, Ferenc Csolnoky Hospital, Veszprém, Hungary
| | - Szilvia Péntek
- Department of Neurology, Zala County Saint Rafael Hospital, Zalaegerszeg, Hungary
| | - Péter Klivényi
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
- Faculty of General Medicine, Department of Radiology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - László Vécsei
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
- MTA-SZTE Neuroscience Research Group, Szeged, Hungary
| | - Krisztina Bencsik
- Faculty of General Medicine, Department of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
- * E-mail:
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Calabresi PA, Kappos L, Giovannoni G, Plavina T, Koulinska I, Edwards MR, Kieseier B, de Moor C, Sotirchos ES, Fisher E, Rudick RA, Sandrock A. Measuring treatment response to advance precision medicine for multiple sclerosis. Ann Clin Transl Neurol 2021; 8:2166-2173. [PMID: 34704393 PMCID: PMC8607451 DOI: 10.1002/acn3.51471] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 09/14/2021] [Accepted: 10/02/2021] [Indexed: 11/22/2022] Open
Abstract
Objective To assess the independent contributions of clinical measures (relapses, Expanded Disability Status Scale [EDSS] scores, and neuroperformance measures) and nonclinical measures (new brain magnetic resonance imaging [MRI] activity and serum neurofilament light chain [sNfL] levels) for distinguishing natalizumab‐treated from placebo‐treated patients. Methods We conducted post hoc analyses using data from the AFFIRM trial of natalizumab for multiple sclerosis. We used multivariable regression analyses with predictors (EDSS progression, no relapse, new or enlarging MRI activity, brain atrophy, sNfL levels, and neuroperformance worsening) to identify measures that independently discriminated between treatment groups. Results The multivariable model that best distinguished natalizumab from placebo was no new or enlarging T2 or gadolinium‐enhancing activity on MRI (odds ratio; 95% confidence interval: 7.2; 4.7–10.9), year 2 sNfL levels <97.5th percentile (4.1; 2.6–6.2), and no relapses in years 0–2 (2.1; 1.5–3.0). The next best‐fitting model was a two‐component model that included no MRI activity and sNfL levels <97.5th percentile at year 2. There was little difference between the three‐ and two‐component models. Interpretation Nonclinical measures (new MRI activity and sNfL levels) discriminate between treatment and placebo groups similarly to or better than clinical outcomes composites and have implications for patient monitoring.
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Affiliation(s)
- Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital and University of Basel, Basel, Switzerland
| | - Gavin Giovannoni
- Blizzard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | | | | | | | - Bernd Kieseier
- Biogen, Cambridge, Massachusetts, USA.,Department of Neurology, Heinrich Heine Universitat, Dusseldorf, Germany
| | | | - Elias S Sotirchos
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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