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Meca-Lallana JE, Álvarez-Cermeño JC, Casanova Estruch B, Izquierdo Ayuso G, Ortiz Castillo R, Rodríguez-Antigüedad A, Calles Hernández C. Early beginning of alemtuzumab: Changing the multiple sclerosis treatment paradigm. Interim analysis of the LEMVIDA study. Neurologia 2024; 39:383-391. [PMID: 37116693 DOI: 10.1016/j.nrleng.2021.06.006] [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: 05/18/2021] [Accepted: 06/27/2021] [Indexed: 04/30/2023] Open
Abstract
INTRODUCTION LEMVIDA is a real-world prospective study of 3-year follow-up on quality of life of patients with multiple sclerosis (MS) receiving alemtuzumab in Spain. METHODS This is an interim analysis evaluating the baseline characteristics of patients who started alemtuzumab between October 2016-September 2018. For 3 additional subanalysis patients were categorised by baseline EDSS score; time of alemtuzumab initiation during the recruitment period (cohort 1: October 2016-March 2017, cohort 2: April-September 2017, cohort 3: October 2017-March 2018 and cohort 4: April-September 2018); and the presence of highly active MS criteria. RESULTS 161 patients were analysed: 67.1% female, age 38.7 ± 9.4 years, MS duration 8.5 ± 6.0 years, EDSS 3.3 ± 1.7 and number of relapses in the previous 2 years 1.8 ± 1.3. 48.3% of patients presented gadolinium-enhanced (Gd+) lesions (mean: 5.2 ± 6.9) and 63.1% had received prior treatment with fingolimod or natalizumab. Baseline EDSS scores and number of Gd+ lesions were higher in cohort 1 than in cohort 4 (4.1 ± 1.8 vs 3.2 ± 1.7; P = .040 and 10.9 ± 11.9 vs 4.5 ± 5.7; P = .020). The frequency of prior treatment with fingolimod and natalizumab was lower in cohort 4 (60.6%) than in cohort 1 (70.6%) (comparison between groups not analysed). CONCLUSIONS Unlike phase 3 studies of alemtuzumab, the patients included in LEMVIDA are older, have a longer duration of MS, higher disability and have received previous immunosuppressants. However, throughout the recruitment period, there is a tendency towards an early beginning of treatment with alemtuzumab, probably due to the evidence of higher effectiveness in the early stages of MS.
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Affiliation(s)
- J E Meca-Lallana
- CSUR Esclerosis Múltiple, Hospital Virgen de la Arrixaca (IMIB-Arrixaca), Murcia, Spain; Cátedra de Neuroinmunología Clínica y Esclerosis Múltiple, UCAM-Universidad Católica San Antonio de Murcia, Murcia, Spain.
| | - J C Álvarez-Cermeño
- Unidad de Esclerosis Múltiple. Instituto de Investigación Ramón y Cajal, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - B Casanova Estruch
- Unidad de Neuroinmunología Clínica, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - G Izquierdo Ayuso
- Unidad de Investigación y Tratamiento de la Esclerosis Múltiple, Hospital Vithas Nisa, Sevilla, Spain
| | | | | | - C Calles Hernández
- Unidad de Esclerosis Múltiple. Hospital Universitario Son Espases, Palma de Mallorca, Spain
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Hoffmann O, Gold R, Meuth SG, Linker RA, Skripuletz T, Wiendl H, Wattjes MP. Prognostic relevance of MRI in early relapsing multiple sclerosis: ready to guide treatment decision making? Ther Adv Neurol Disord 2024; 17:17562864241229325. [PMID: 38332854 PMCID: PMC10851744 DOI: 10.1177/17562864241229325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 01/12/2024] [Indexed: 02/10/2024] Open
Abstract
Magnetic resonance imaging (MRI) of the brain and spinal cord plays a crucial role in the diagnosis and monitoring of multiple sclerosis (MS). There is conclusive evidence that brain and spinal cord MRI findings in early disease stages also provide relevant insight into individual prognosis. This includes prediction of disease activity and disease progression, the accumulation of long-term disability and the conversion to secondary progressive MS. The extent to which these MRI findings should influence treatment decisions remains a subject of ongoing discussion. The aim of this review is to present and discuss the current knowledge and scientific evidence regarding the utility of MRI at early MS disease stages for prognostic classification of individual patients. In addition, we discuss the current evidence regarding the use of MRI in order to predict treatment response. Finally, we propose a potential approach as to how MRI data may be categorized and integrated into early clinical decision making.
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Affiliation(s)
- Olaf Hoffmann
- Department of Neurology, Alexianer St. Josefs-Krankenhaus Potsdam, Allee nach Sanssouci 7, 14471 Potsdam, Germany; Medizinische Hochschule Brandenburg Theodor Fontane, Neuruppin, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Sven G. Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany
| | - Ralf A. Linker
- Department of Neurology, Regensburg University Hospital, Regensburg, Germany
| | | | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Mike P. Wattjes
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
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Han Trong T, Nguyen Van H, Vu Dang L. High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network. Appl Bionics Biomech 2023; 2023:8843488. [PMID: 37780200 PMCID: PMC10539089 DOI: 10.1155/2023/8843488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/12/2023] [Accepted: 08/26/2023] [Indexed: 10/03/2023] Open
Abstract
Objective To localize and distinguish between benign and malignant tumors on MRI. Method This work proposes a high-performance method for brain tumor feature extraction using a combination of complex network and U-Net architecture. And then, the common machine-learning algorithms are used to discriminate between benign and malignant tumors. Experiments and Results. The dataset of brain MRI of a total of 230 brain tumor patients in which 77 high-grade glioma patients and 153 low-grade glioma patients were processed. The results of classifying benign and malignant tumors achieved an accuracy of 99.84%. Conclusion The high accuracy of experiment results demonstrates that the use of the complex network and U-Net architecture can significantly improve the accuracy of brain tumor classification. This method could potentially be useful for clinicians in aiding diagnosis and treatment planning for brain tumor patients.
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Affiliation(s)
- Thanh Han Trong
- School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam
| | - Hinh Nguyen Van
- Department of Science and Technology Management and International Cooperation, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam
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Treatment response scoring systems to assess long-term prognosis in self-injectable DMTs relapsing-remitting multiple sclerosis patients. J Neurol 2022; 269:452-459. [PMID: 34596743 DOI: 10.1007/s00415-021-10823-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/15/2021] [Accepted: 09/24/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND OBJECTIVES Different treatment response scoring systems in treated MS patients exist. The objective was to assess the long-term predictive value of these systems in RRMS patients treated with self-injectable DMTs. METHODS RRMS-treated patients underwent brain MRI before the onset of therapy and 12 months thereafter, and neurological assessments every 6 months. Clinical and demographic characteristics were collected at baseline. After the first year of treatment, several scoring systems [Rio score (RS), modified Rio score (MRS), MAGNIMS score (MS), and ROAD score (RoS)] were calculated. Cox-Regression and survival analyses were performed to identify scores predicting long-term disability. RESULTS We included 319 RRMS patients. Survival analyses showed that patients with RS > 1 and RoS > 3 had a significant risk of reaching an EDSS of 4.0 and 6.0 The score with the best sensitivity (61%) was the RoS, while the MRS showed the best specificity (88%). The RS showed the best positive predictive value (42%) and the best accuracy (81%). CONCLUSIONS The combined measures integrated into different scores have an acceptable prognostic value for identifying patients with long-term disability. Thus, these data reinforce the concept of early treatment optimization to minimize the risk of long-term disability.
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Meca-Lallana J, Álvarez-Cermeño J, Casanova Estruch B, Izquierdo Ayuso G, Ortiz Castillo R, Rodríguez-Antigüedad A, Calles Hernández C. Inicio temprano de alemtuzumab: cambio en el paradigma de tratamiento en esclerosis múltiple. Análisis intermedio del estudio LEMVIDA. Neurologia 2021. [DOI: 10.1016/j.nrl.2021.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Guler S. Factors determining the treatment ineffectiveness in multiple sclerosis. Neurol Res 2021; 44:177-185. [PMID: 34396921 DOI: 10.1080/01616412.2021.1967680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND In patients with multiple sclerosis (MS), the suboptimal response should be well evaluated at every step of treatment. REVIEW SUMMARY Determining patients with moderate or high activity and suboptimal response to treatment (clinical variables, MRI activity, perception of the patient and physician, side effects, serious risks, etc.) and timely intervention in the treatment are very important in achieving the desired effectiveness in the long term. Within the early stages, there is a limited time interval for effective treatment of MS patients. During this time, intervention is critical to achieve long-term positive results. After diagnosis, an early and individualized specific treatment for MS, depending on the severity of the disease, can prevent radiological and physical disability in the medium/long term. CONCLUSIONS With the emergence of a number of new treatments each with their own benefits and risks, a change in the nature of interactions between patients and MS physicians has been anticipated and will be required in the patient-related clinical decision-making process in the developing MS landscape.
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Affiliation(s)
- Sibel Guler
- Department of Neurology, Trakya University Faculty of Medicine, Edirne, Turkey
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Ziemssen T, Bass AD, Berkovich R, Comi G, Eichau S, Hobart J, Hunter SF, LaGanke C, Limmroth V, Pelletier D, Pozzilli C, Schippling S, Sousa L, Traboulsee A, Uitdehaag BMJ, Van Wijmeersch B, Choudhry Z, Daizadeh N, Singer BA. 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. CNS Drugs 2020; 34:973-988. [PMID: 32710396 PMCID: PMC7447657 DOI: 10.1007/s40263-020-00749-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Alemtuzumab efficacy versus subcutaneous interferon-β-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® 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.
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Affiliation(s)
- Tjalf Ziemssen
- Center of Clinical Neuroscience, University Clinic Carl Gustav Carus, Fetscherstr. 74, 01307, Dresden, Germany.
| | - Ann D Bass
- Neurology Center of San Antonio, San Antonio, TX, USA
| | - Regina Berkovich
- Regina Berkovich, MD, PhD, Inc., West Hollywood, CA, USA
- Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | | | - Sara Eichau
- Hospital Universitario Virgen Macarena, Seville, Spain
| | - Jeremy Hobart
- Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
| | | | | | - Volker Limmroth
- Klinik für Neurologie und Palliativmedizin, Cologne, Germany
| | - Daniel Pelletier
- Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Sven Schippling
- Neuroimmunology and Multiple Sclerosis Research, University Hospital Zürich and University of Zürich, Zürich, Switzerland
| | - Livia Sousa
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | | | | | - Bart Van Wijmeersch
- Rehabilitation and MS-Centre Overpelt, BIOMED, Hasselt University, Hasselt, Belgium
| | | | | | - Barry A Singer
- MS Center for Innovations in Care, Missouri Baptist Medical Center, St. Louis, MO, USA
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Zacharzewska-Gondek A, Pokryszko-Dragan A, Budrewicz S, Sąsiadek M, Trybek G, Bladowska J. The role of ADC values within the normal-appearing brain in the prognosis of multiple sclerosis activity during interferon-β therapy in the 3-year follow-up: a preliminary report. Sci Rep 2020; 10:12828. [PMID: 32732968 PMCID: PMC7393067 DOI: 10.1038/s41598-020-69383-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 07/03/2020] [Indexed: 11/17/2022] Open
Abstract
Predictors of multiple sclerosis (MS) activity during disease-modifying treatment are being extensively investigated. The aim of this study was to assess the prognosis of NEDA (no evidence of disease activity) status during IFN-β (interferon-β) treatment, using apparent diffusion coefficient (ADC) measurements obtained at initial MRI (magnetic resonance imaging). In 87 MS patients treated with IFN-β, ADC values were calculated for 13 regions of normal-appearing white and grey matter (NAWM, NAGM) based on MRI performed with a 1.5 T magnet before (MS0, n = 45) or after one year of therapy (MS1, n = 42). Associations were evaluated between ADC, conventional MRI findings, demographic and clinical factors and NEDA status within the following 3 years using logistic, Cox and multinomial logistic regression models. NEDA rates in the MS0 group were 64.4%, 46.5% and 33.3% after the 1st, 2nd and 3rd year of treatment, respectively and in MS1 patients 71.4% and 48.7% for the periods 1st–2nd and 1st–3rd years of treatment, respectively. ADC values in the NAWM regions contributed to loss of NEDA and its clinical and radiological components, with a 1–3% increase in the risk of NEDA loss (p = 0.0001–0.0489) in both groups. ADC measurements may have an additional prognostic value with regard to NEDA status.
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Affiliation(s)
- Anna Zacharzewska-Gondek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, 213 Borowska Street, 50-556, Wroclaw, Poland.
| | - Anna Pokryszko-Dragan
- Department and Clinic of Neurology, Wroclaw Medical University, 213 Borowska Street, 50-556, Wroclaw, Poland
| | - Sławomir Budrewicz
- Department and Clinic of Neurology, Wroclaw Medical University, 213 Borowska Street, 50-556, Wroclaw, Poland
| | - Marek Sąsiadek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, 213 Borowska Street, 50-556, Wroclaw, Poland
| | - Grzegorz Trybek
- Department of Oral Surgery, Pomeranian Medical University, 72 Powstańców Wielkopolskich Street, 70-111, Szczecin, Poland
| | - Joanna Bladowska
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, 213 Borowska Street, 50-556, Wroclaw, Poland
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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 MP, Butzkueven H, Kalincik T. Prediction of on-treatment disability worsening in RRMS with the MAGNIMS score. Mult Scler 2020; 27:695-705. [DOI: 10.1177/1352458520936823] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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.
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Affiliation(s)
- Amy Kunchok
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia/Melbourne MS Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia/The University of Sydney, Sydney, NSW, Australia/Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Jeannette Lechner-Scott
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia/Department of Neurology, John Hunter Hospital, Hunter New England Health, Newcastle, NSW, Australia
| | - Franco Granella
- Department of Medicine and Surgery, University of Parma, Parma, Italy/Department of Emergency and General Medicine, Parma University Hospital, Parma, Italy
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | - Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Kuwait City, Kuwait
| | - Patrizia Sola
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | - Diana Ferraro
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | - Alessandra Lugaresi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy/Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Marco Onofrj
- Clinica Neurologica, Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, Chieti, Italy
| | | | | | | | | | - Bart Van Wijmeersch
- Rehabilitation and MS Centre Overpelt, Overpelt, Belgium/Hasselt University, Hasselt, Belgium
| | - Cavit Boz
- KTU Medical Faculty, Farabi Hospital, Trabzon, Turkey
| | - Eugenio Pucci
- UOC Neurologia, Azienda Sanitaria Unica Regionale Marche – AV3, Macerata, Italy
| | - Pamela McCombe
- The University of Queensland, Brisbane, QLD, Australia/Royal Brisbane and Women’s Hospital, Herston, QLD, Australia
| | | | - Daniele Spitaleri
- Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino, Avellino, Italy
| | - Steve Vucic
- Westmead Hospital, The University of Sydney, Sydney, NSW, Australia
| | | | - Vilija Jokubaitis
- Central Clinical School, Monash University, Melbourne, VIC, Australia/Department of Medicine, The Alfred Hospital, Melbourne, VIC, Australia
| | - Maria Pia Sormani
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Helmut Butzkueven
- Central Clinical School, Monash University, Melbourne, VIC, Australia/Department of Medicine, The Alfred Hospital, Melbourne, VIC, Australia
| | - Tomas Kalincik
- CORe, Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia/ Melbourne MS Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
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Five- and seven-year prognostic value of new effectiveness measures (NEDA, MEDA and six-month delayed NEDA) in relapsing-remitting multiple sclerosis. J Neurol Sci 2020; 414:116827. [DOI: 10.1016/j.jns.2020.116827] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 03/09/2020] [Accepted: 04/06/2020] [Indexed: 11/22/2022]
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Gross RH, Corboy JR. Monitoring, Switching, and Stopping Multiple Sclerosis Disease-Modifying Therapies. Continuum (Minneap Minn) 2019; 25:715-735. [PMID: 31162313 DOI: 10.1212/con.0000000000000738] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW This article reviews appropriate monitoring of the various multiple sclerosis (MS) disease-modifying therapies, summarizes the reasons patients switch or stop treatment, and provides a framework for making these management decisions. RECENT FINDINGS With the increasing number of highly effective immunotherapies available for MS, the possibility of better control of the disease has increased, but with it, the potential for side effects has rendered treatment decisions more complicated. Starting treatment early with more effective and better-tolerated disease-modifying therapies reduces the likelihood of switching because of breakthrough disease or lack of compliance. Clinical and radiographic surveillance, and often blood and other paraclinical tests, should be performed periodically, depending on the disease-modifying therapy. Helping patients navigate the uncertainty around switching or stopping treatment, either temporarily or permanently, is one of the most important things we do as providers of MS care. SUMMARY Ongoing monitoring of drug therapy is a crucial component of long-term MS care. Switching treatments may be necessary for a variety of reasons. Permanent discontinuation of treatment may be appropriate for some patients with MS, although more study is needed in this area.
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Expert opinion: Criteria for second-line treatment failure in patients with multiple sclerosis. Mult Scler Relat Disord 2019; 36:101406. [DOI: 10.1016/j.msard.2019.101406] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 09/17/2019] [Indexed: 11/21/2022]
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Sadigh G, Saindane AM, Waldman AD, Lava NS, Hu R. Comparison of Unenhanced and Gadolinium-Enhanced Imaging in Multiple Sclerosis: Is Contrast Needed for Routine Follow-Up MRI? AJNR Am J Neuroradiol 2019; 40:1476-1480. [PMID: 31439627 DOI: 10.3174/ajnr.a6179] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 07/06/2019] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Gadolinium enhanced MRI is routinely used for follow-up of patients with multiple sclerosis. Our aim was to evaluate whether enhancing multiple sclerosis lesions on follow-up MR imaging can be detected by visual assessment of unenhanced double inversion recovery and FLAIR sequences. MATERIALS AND METHODS A total of 252 consecutive MRIs in 172 adult patients with a known diagnosis of multiple sclerosis were reviewed. The co-presence or absence of associated double inversion recovery and FLAIR signal abnormality within contrast-enhancing lesions was recorded by 3 neuroradiologists. In a subset of patients with prior comparisons, the number of progressive lesions on each of the 3 sequences was assessed. RESULTS A total of 34 of 252 MRIs (13%) demonstrated 55 enhancing lesions, of which 52 (95%) had corresponding hyperintensity on double inversion recovery and FLAIR. All lesions were concordant between double inversion recovery and FLAIR, and the 3 enhancing lesions not visible on either sequence were small (<2 mm) and cortical/subcortical (n = 2) or periventricular (n = 1). A total of 17 (22%) of the 76 MRIs with a prior comparison had imaging evidence of disease progression: Ten (59%) of these showed new lesions on double inversion recovery or FLAIR only, 6 (35%) showed progression on all sequences, and 1 (6%) was detectable only on postcontrast T1, being located in a region of confluent double inversion recovery and FLAIR abnormality. CONCLUSIONS There was a high concordance between enhancing lesions and hyperintensity on either double inversion recovery or FLAIR. Serial follow-up using double inversion recovery or FLAIR alone may capture most imaging progression, but isolated enhancing lesions in confluent areas of white matter abnormality could present a pitfall for this approach.
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Affiliation(s)
- G Sadigh
- From the Departments of Radiology and Imaging Sciences (G.S., A.M.S., A.D.W., R.H.)
| | - A M Saindane
- From the Departments of Radiology and Imaging Sciences (G.S., A.M.S., A.D.W., R.H.)
| | - A D Waldman
- From the Departments of Radiology and Imaging Sciences (G.S., A.M.S., A.D.W., R.H.)
| | - N S Lava
- Neurology (N.S.L.), Emory University School of Medicine, Atlanta, Georgia
| | - R Hu
- From the Departments of Radiology and Imaging Sciences (G.S., A.M.S., A.D.W., R.H.)
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14
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Abstract
Multiple sclerosis (MS) is a chronic neurodegenerative autoimmune disease with a complex clinical course characterized by inflammation, demyelination, and axonal degeneration. Diagnosis of MS most commonly includes finding lesions in at least two separate areas of the central nervous system (CNS), including the brain, spinal cord, and optic nerves. In recent years, there has been a remarkable increase in the number of available treatments for MS. An optimal treatment is usually based on a personalized approach determined by an individual patient's prognosis and treatment risks. Biomarkers that can predict disability progression, monitor ongoing disease activity, and assess treatment response are integral in making important decisions regarding MS treatment. This review describes MS biomarkers that are currently being used in clinical practice; it also reviews and consolidates published findings from clinically relevant potential MS biomarkers in recent years. The work also discusses the challenges of validating and application of biomarkers in MS clinical practice.
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Affiliation(s)
- Anu Paul
- Department of Neurology, Ann Romney Center for Neurological Diseases, Brigham and Women's Hospital, Boston, Massachusetts 02115
| | - Manuel Comabella
- Department of Neurology, MS Centre of Catalonia, Vall d'Hebron University Hospital, Barcelona 08035, Spain
| | - Roopali Gandhi
- Department of Neurology, Ann Romney Center for Neurological Diseases, Brigham and Women's Hospital, Boston, Massachusetts 02115
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15
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Hyun JW, Shin HJ, Jang H, Park NY, Kim SH, Kim HJ. Therapeutic Outcome of Alemtuzumab in Korean Patients with Multiple Sclerosis: 2-Year Follow-Up. J Clin Neurol 2019; 15:328-333. [PMID: 31286704 PMCID: PMC6620458 DOI: 10.3988/jcn.2019.15.3.328] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 01/19/2019] [Accepted: 01/22/2019] [Indexed: 12/14/2022] Open
Abstract
Background and Purpose Alemtuzumab has shown high efficacy in clinical trials that primarily involved Western multiple sclerosis (MS) patients. To evaluate the therapeutic outcome of alemtuzumab in Korean patients with MS. Methods This study enrolled 23 consecutive patients who were treated with alemtuzumab from 2015 to 2018. Efficacy was evaluated using the annualized relapse rate (ARR), Expanded Disability Status Scale (EDSS), and radiological activity. No evidence of disease activity (NEDA) was defined as no clinical relapse, no worsening of the EDSS score, and no radiological activity. The safety profiles were also assessed. Results The mean age was 36 years and 16 of the patients were female. Seventeen and 12 of 23 patients were followed up for 1 year and 2 years, respectively. The ARR was markedly reduced from 1.52 during the 1-year period preceding alemtuzumab administration to 0.21 after initiating alemtuzumab (p<0.001). During the first and second years after initiating alemtuzumab, EDSS worsening was observed in 3 (18%) and 0 (0%) patients, respectively, and radiological activity was exhibited in 9 (53%) and 4 (33%). NEDA was observed in 6 (35%) patients during the first year and in 8 (67%) patients during the second year. Intriguingly, one patient experienced 2 severe clinical exacerbations, which occurred at 10 months after the first and 10 months after the second infusion of alemtuzumab. Nineteen of the 23 patients exhibited infusion-associated reactions and 3 patients exhibited herpes zoster infection. Thyroid dysfunction occurred in two patients at 18 and 20 months after initiating alemtuzumab. Conclusions Consistent with observations in Western populations, alemtuzumab therapy in Korean MS patients led to marked reductions of disease activity without unexpected safety issues.
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Affiliation(s)
- Jae Won Hyun
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea
| | - Hyun June Shin
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea
| | - Hyunmin Jang
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea
| | - Na Young Park
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea
| | - Su Hyun Kim
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea
| | - Ho Jin Kim
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.
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16
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Gasperini C, Prosperini L, Tintoré M, Sormani MP, Filippi M, Rio J, Palace J, Rocca MA, Ciccarelli O, Barkhof F, Sastre-Garriga J, Vrenken H, Frederiksen JL, Yousry TA, Enzinger C, Rovira A, Kappos L, Pozzilli C, Montalban X, De Stefano N. Unraveling treatment response in multiple sclerosis: A clinical and MRI challenge. Neurology 2018; 92:180-192. [PMID: 30587516 DOI: 10.1212/wnl.0000000000006810] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Accepted: 08/31/2018] [Indexed: 01/19/2023] Open
Abstract
Over the last few decades, the improved diagnostic criteria, the wide use of MRI, and the growing availability of effective pharmacologic treatments have led to substantial advances in the management of multiple sclerosis (MS). The importance of early diagnosis and treatment is now well-established, but there is still no consensus on how to define and monitor response to MS treatments. In particular, the clinical relevance of the detection of minimal MRI activity is controversial and recommendations on how to define and monitor treatment response are warranted. An expert panel of the Magnetic Resonance Imaging in MS Study Group analyzed and discussed published studies on treatment response in MS. The evolving concept of no evidence of disease activity and its effect on predicting long-term prognosis was examined, including the option of defining a more realistic target for daily clinical practice: minimal evidence of disease activity. Advantages and disadvantages associated with the use of MRI activity alone and quantitative scoring systems combining on-treatment clinical relapses and MRI active lesions to detect treatment response in the real-world setting were also discussed. While most published studies on this topic involved patients treated with interferon-β, special attention was given to more recent studies providing evidence based on treatment with other and more efficacious oral and injectable drugs. Finally, the panel identified future directions to pursue in this research field.
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Affiliation(s)
- Claudio Gasperini
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy.
| | - Luca Prosperini
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Mar Tintoré
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Maria Pia Sormani
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Massimo Filippi
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Jordi Rio
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Jacqueline Palace
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Maria A Rocca
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Olga Ciccarelli
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Frederik Barkhof
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Jaume Sastre-Garriga
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Hugo Vrenken
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Jette L Frederiksen
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Tarek A Yousry
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Christian Enzinger
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Alex Rovira
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Ludwig Kappos
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Carlo Pozzilli
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Xavier Montalban
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
| | - Nicola De Stefano
- From the Department of Neurosciences (C.G., L.P.), San Camillo-Forlanini Hospital, Rome, Italy; Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology (M.T., J.R., J.S.-G., X.M.), and Magnetic Resonance Unit, Department of Radiology (A.R.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Spain; Biostatistics Unit (M.P.S.), Department of Health Sciences, University of Genoa; Neuroimaging Research Unit (M.F., M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Nuffield Department of Clinical Neurosciences (J.P.), West Wing, John Radcliffe Hospital, Oxford; Institutes of Neurology & Healthcare Engineering (O.C., F.B.), University College London (O.C.), UK; Amsterdam Neuroscience and Department of Radiology and Nuclear Medicine (F.B., H.V.), VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology (J.L.F.), Rigshospitalet Glostrup and University of Copenhagen, Denmark; Neuroradiological Academic Unit (T.A.Y.), Institute of Neurology, London, UK; Department of Neurology (C.E.), Medical University of Graz, Austria; Neurologic Clinic and Policlinic, Department of Medicine (L.K.), Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; Department of Neurology and Psychiatry (C.P.), Sapienza University, Rome; and Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences (N.D.S.), University of Siena, Italy
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Bove R, Chitnis T, Cree BA, Tintore M, Naegelin Y, Uitdehaag B, Kappos L, Khoury SJ, Montalban X, Hauser SL, Weiner HL. SUMMIT (Serially Unified Multicenter Multiple Sclerosis Investigation): creating a repository of deeply phenotyped contemporary multiple sclerosis cohorts. Mult Scler 2018; 24:1485-1498. [PMID: 28847219 PMCID: PMC5821573 DOI: 10.1177/1352458517726657] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND There is a pressing need for robust longitudinal cohort studies in the modern treatment era of multiple sclerosis. OBJECTIVE Build a multiple sclerosis (MS) cohort repository to capture the variability of disability accumulation, as well as provide the depth of characterization (clinical, radiologic, genetic, biospecimens) required to adequately model and ultimately predict a patient's course. METHODS Serially Unified Multicenter Multiple Sclerosis Investigation (SUMMIT) is an international multi-center, prospectively enrolled cohort with over a decade of comprehensive follow-up on more than 1000 patients from two large North American academic MS Centers (Brigham and Women's Hospital (Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital (CLIMB; BWH)) and University of California, San Francisco (Expression/genomics, Proteomics, Imaging, and Clinical (EPIC))). It is bringing online more than 2500 patients from additional international MS Centers (Basel (Universitätsspital Basel (UHB)), VU University Medical Center MS Center Amsterdam (MSCA), Multiple Sclerosis Center of Catalonia-Vall d'Hebron Hospital (Barcelona clinically isolated syndrome (CIS) cohort), and American University of Beirut Medical Center (AUBMC-Multiple Sclerosis Interdisciplinary Research (AMIR)). RESULTS AND CONCLUSION We provide evidence for harmonization of two of the initial cohorts in terms of the characterization of demographics, disease, and treatment-related variables; demonstrate several proof-of-principle analyses examining genetic and radiologic predictors of disease progression; and discuss the steps involved in expanding SUMMIT into a repository accessible to the broader scientific community.
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Affiliation(s)
- Riley Bove
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Tanuja Chitnis
- Ann Romney Center for Neurologic Diseases, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Bruce A.C. Cree
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mar Tintore
- Centre d’Esclerosi Mútiple de Catalunya (Cemcat), Barcelona, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Yvonne Naegelin
- Center for MS and Neuroimmunology, Universitätsspital Basel, Basel, Switzerland
| | - Bernard Uitdehaag
- MS Cetner Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | - Ludwig Kappos
- Center for MS and Neuroimmunology, Universitätsspital Basel, Basel, Switzerland
| | - Samia J. Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Xavier Montalban
- Centre d’Esclerosi Mútiple de Catalunya (Cemcat), Barcelona, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Stephen L. Hauser
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Howard L. Weiner
- Ann Romney Center for Neurologic Diseases, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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Diem L, Nedeltchev K, Kahles T, Achtnichts L, Findling O. Long-term evaluation of NEDA-3 status in relapsing-remitting multiple sclerosis patients after switching from natalizumab to fingolimod. Ther Adv Neurol Disord 2018; 11:1756286418791103. [PMID: 30116299 PMCID: PMC6088480 DOI: 10.1177/1756286418791103] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 04/21/2018] [Indexed: 11/15/2022] Open
Abstract
Background: Natalizumab significantly reduces the disease activity in patients with relapsing-remitting multiple sclerosis but due to the risk of progressive multifocal leukoencephalopathy it is often discontinued. Fingolimod is seen as an alternative, but there are no long-term analyses of the efficacy of fingolimod in this setting using the no evidence of disease activity (NEDA)-3 criteria. We provide an assessment of patients who discontinued natalizumab and switched to fingolimod or other treatments by evaluating the proportion of patients who fulfil NEDA-3 criteria after prolonged follow-up periods. Methods: We conducted a retrospective observational study of multiple sclerosis patients, who were treated with continuous natalizumab or who had switched to fingolimod or other treatments after natalizumab discontinuation. We assessed NEDA-3 status, annual relapse rate and determined the odds ratio between disease course after treatment switch and other patient and treatment characteristics. Results: A total of 61 patients on continuous natalizumab treatment and 53 patients who switched from natalizumab to fingolimod or other treatments were accompanied for up to 5 years. While the proportion of natalizumab patients fulfilling NEDA-3 criteria remained stable at 90% during the entire follow-up period, the proportion of patients switching to fingolimod or other therapies dropped to 76.7% in the first year after discontinuation, and to 50% in the years thereafter. While the median Expanded Disability Status Scale remained stable and the percentage of relapsing patients did not change significantly, recurring magnetic resonance imaging activity was found in up to 42% of the patients after switching from natalizumab to other treatments. New disease activity was significantly correlated with extended treatment gap between natalizumab discontinuation and the start of a new therapy. Discussion: Patients remain clinically stable after discontinuing natalizumab and switching to other therapies. However, when considering NEDA-3 criteria, a considerable proportion of patients show disease reactivation. Careful monitoring and early evaluation of alternatives is necessary after switching from natalizumab to other treatments.
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Affiliation(s)
- Lara Diem
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | | | - Timo Kahles
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Oliver Findling
- Department of Neurology, Cantonal Hospital Aarau, Tellstrasse, Aarau 5000, Switzerland
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Traboulsee A, Li DKB, Cascione M, Fang J, Dangond F, Miller A. Predictive value of early magnetic resonance imaging measures is differentially affected by the dose of interferon beta-1a given subcutaneously three times a week: an exploratory analysis of the PRISMS study. BMC Neurol 2018; 18:68. [PMID: 29751787 PMCID: PMC5946401 DOI: 10.1186/s12883-018-1066-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 05/01/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND On-treatment magnetic resonance imaging lesions may predict long-term clinical outcomes in patients receiving interferon β-1a. This study aimed to assess the effect of active T2 and T1 gadolinium-enhancing (Gd+) lesions on relapses and 3-month confirmed Expanded Disability Status Scale (EDSS) progression in the PRISMS clinical trial. METHODS Exploratory analyses assessed whether active T2 and T1 Gd + lesions at Month 6, or active T2 lesions at Month 12, predicted clinical outcomes over 4 years in PRISMS. RESULTS Mean active T2 lesion number at Month 6 was significantly lower with interferon beta-1a given subcutaneously (IFN β-1a SC) 44 μg and 22 μg 3×/week (tiw) than with placebo (p < 0.0001). The presence of ≥4 versus 0 active T2 lesions predicted disability progression at Years 3-4 in the IFN β-1a SC 22 μg group only (p < 0.05), whereas the presence of ≥2 versus 0-1 active T2 lesions predicted disability progression in the placebo/delayed treatment (DTx) (Years 2-4; p < 0.05) and IFN β-1a SC 22 μg groups (Years 3-4; p < 0.05). Greater active T2 lesion number at 6 months predicted relapses in the placebo/DTx group only (≥4 vs. 0, Years 1-4; ≥2 vs. 0-1, Years 2-4; p < 0.05), and the presence of T1 Gd + lesions at 6 months predicted disability progression in the IFN β-1a SC 44 μg group only (Year 1; p < 0.05). The presence of ≥2 versus 0-1 active T2 lesions at 12 months predicted disability progression over 3 and 4 years in the IFN β-1a SC 44 μg group. CONCLUSION Active T2 lesions at 6 months predicted clinical outcomes in patients receiving placebo or IFN β-1a SC 22 μg, but not in those receiving IFN β-1a SC 44 μg. Active T2 lesions at 12 months may predict outcomes in those receiving IFN β-1a SC 44 μg and are possibly more suggestive of poor response to therapy than T2 results at 6 months.
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Affiliation(s)
- Anthony Traboulsee
- University of British Columbia, S113-2211 Wesbrook Mall, Vancouver, BC, V6T 1Z7, Canada.
| | - David K B Li
- University of British Columbia, S113-2211 Wesbrook Mall, Vancouver, BC, V6T 1Z7, Canada
| | - Mark Cascione
- Tampa Neurology Associates, South Tampa Multiple Sclerosis Center, 2919 W. Swann Avenue, Suite 401, South Tampa, FL, 33609, USA
| | - Juanzhi Fang
- EMD Serono, Inc., One Technology Place, Rockland, MA, 02370, USA
| | - Fernando Dangond
- EMD Serono, Inc., 45A Middlesex Turnpike, Billerica, MA, 01821, USA
| | - Aaron Miller
- Mount Sinai Hospital, 5 East 98th Street, 1st Floor, New York, NY, 10029, USA
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Cristiano E, Alonso R, Alvez Pinheiro A, Bacile EA, Balbuena ME, Ballario C, Barboza AG, Bestoso S, Burgos M, Cáceres F, Carnero Contentti E, Carrá A, Crespo E, Curbelo MC, Deri N, Fernandez J, Fernández Liguori N, Fiol M, Gaitán MI, Garcea O, Giunta D, Halfon MJ, Hryb JP, Jacobo M, Kohler E, Linares R, Luetic GG, Martínez AD, Míguez J, Nofal PG, Patrucco L, Piedrabuena R, Rojas JI, Rotta Escalante R, Saladino ML, Silva BA, Sinay V, Steinberg JD, Tarulla A, Vétere SA, Villa A, Vrech C, Ysrraelit MC, Correale J. Argentinean recommendations on the identification of treatment failure in relapsing remitting multiple sclerosis patients. J Neurol Sci 2018; 385:217-224. [DOI: 10.1016/j.jns.2018.01.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 12/01/2017] [Accepted: 01/03/2018] [Indexed: 12/11/2022]
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Vermersch P, Berger T, Gold R, Lukas C, Rovira A, Meesen B, Chard D, Comabella M, Palace J, Trojano M. The clinical perspective: How to personalise treatment in MS and how may biomarkers including imaging contribute to this? Mult Scler 2018; 22:18-33. [PMID: 27465613 DOI: 10.1177/1352458516650739] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 04/23/2016] [Indexed: 01/17/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is a highly heterogeneous disease, both in its course and in its response to treatments. Effective biomarkers may help predict disability progression and monitor patients' treatment responses. OBJECTIVE The aim of this review was to focus on how biomarkers may contribute to treatment individualisation in MS patients. METHODS This review reflects the content of presentations, polling results and discussions on the clinical perspective of MS during the first and second Pan-European MS Multi-stakeholder Colloquia in Brussels in May 2014 and 2015. RESULTS In clinical practice, magnetic resonance imaging (MRI) measures play a significant role in the diagnosis and follow-up of MS patients. Together with clinical markers, the rate of MRI-visible lesion accrual once a patient has started treatment may also help to predict subsequent treatment responsiveness. In addition, several molecular (immunological, genetic) biomarkers have been established that may play a role in predictive models of MS relapses and progression. To reach personalised treatment decisions, estimates of disability progression and likely treatment response should be carefully considered alongside the risk of serious adverse events, together with the patient's treatment expectations. CONCLUSION Although biomarkers may be very useful for individualised decision making in MS, many are still research tools and need to be validated before implementation in clinical practice.
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Affiliation(s)
- Patrick Vermersch
- University of Lille, CHRU de Lille, Lille International Research Inflammation Center (LIRIC), INSRRM U995, FHU Imminent, Lille, France
| | - Thomas Berger
- Neuroimmunology and Multiple Sclerosis Clinic, Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Ralf Gold
- Department of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Carsten Lukas
- Department of Diagnostic and Interventional Radiology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Alex Rovira
- Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Bianca Meesen
- Managing Director at Ismar Healthcare, Lier, Belgium
| | - Declan Chard
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, University College London, London, UK/Biomedical Research Centre, University College London Hospitals (UCLH), National Institute for Health Research (NIHR), London, UK
| | - Manuel Comabella
- Department of Clinical Neuroimmunology, Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Jacqueline Palace
- Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
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Montalban X, Gold R, Thompson AJ, Otero-Romero S, Amato MP, Chandraratna D, Clanet M, Comi G, Derfuss T, Fazekas F, Hartung HP, Havrdova E, Hemmer B, Kappos L, Liblau R, Lubetzki C, Marcus E, Miller DH, Olsson T, Pilling S, Selmaj K, Siva A, Sorensen PS, Sormani MP, Thalheim C, Wiendl H, Zipp F. ECTRIMS/EAN Guideline on the pharmacological treatment of people with multiple sclerosis. Mult Scler 2018; 24:96-120. [PMID: 29353550 DOI: 10.1177/1352458517751049] [Citation(s) in RCA: 421] [Impact Index Per Article: 70.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is a complex disease with new drugs becoming available in the past years. There is a need for a reference tool compiling current data to aid professionals in treatment decisions. OBJECTIVES To develop an evidence-based clinical practice guideline for the pharmacological treatment of people with MS. METHODS This guideline has been developed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology and following the updated EAN recommendations. Clinical questions were formulated in Patients-Intervention-Comparator-Outcome (PICO) format and outcomes were prioritized. The quality of evidence was rated into four categories according to the risk of bias. The recommendations with assigned strength (strong and weak) were formulated based on the quality of evidence and the risk-benefit balance. Consensus between the panelists was reached by use of the modified nominal group technique. RESULTS A total of 10 questions were agreed, encompassing treatment efficacy, response criteria, strategies to address suboptimal response and safety concerns and treatment strategies in MS and pregnancy. The guideline takes into account all disease-modifying drugs approved by the European Medicine Agency (EMA) at the time of publication. A total of 21 recommendations were agreed by the guideline working group after three rounds of consensus. CONCLUSION The present guideline will enable homogeneity of treatment decisions across Europe.
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Affiliation(s)
- Xavier Montalban
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Ralf Gold
- Department of Neurology, Ruhr University, St. Josef-Hospital, Bochum, Germany
| | - Alan J Thompson
- Department of Brain Repair & Rehabilitation and Faculty of Brain Sciences, University College London Institute of Neurology, London, UK
| | - Susana Otero-Romero
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain/Preventive Medicine and Epidemiology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Maria Pia Amato
- Department of Neurosciences, Psychology, Drugs and Child Health Area (NEUROFARBA), Section Neurosciences, University of Florence, Florence, Italy
| | | | - Michel Clanet
- Department of Neurology, Toulouse University Hospital, Toulouse, France
| | - Giancarlo Comi
- Neurological Department, Institute of Experimental Neurology (INSPE), Scientific Institute Hospital San Raffaele, Universita' Vita-Salute San Raffaele, Milan, Italy
| | - Tobias Derfuss
- Departments of Neurology and Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Hans Peter Hartung
- Multiple Sclerosis Center, Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Bernhard Hemmer
- Department of Neurology, Klinikum Rechts der Isar, Technische Universität München and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Roland Liblau
- INSERM UMR U1043 - CNRS U5282, Université de Toulouse, UPS, Centre de Physiopathologie de Toulouse Purpan, Toulouse, France
| | - Catherine Lubetzki
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1127, ICM-GHU Pitié-Salpêtrière, Paris, France
| | - Elena Marcus
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - David H Miller
- NMR Research Unit and Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, UK
| | - Tomas Olsson
- Neuroimmunology Unit, Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Steve Pilling
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Krysztof Selmaj
- Department of Neurology, Medical University of Lodz, Lodz, Poland
| | - Axel Siva
- Clinical Neuroimmunology Unit and MS Clinic, Department of Neurology, Cerrahpasa School of Medicine, Istanbul University, Istanbul, Turkey
| | - Per Soelberg Sorensen
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Denmark
| | | | | | - Heinz Wiendl
- Department of Neurology, University of Münster, Münster, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunology (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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Montalban X, Gold R, Thompson AJ, Otero‐Romero S, Amato MP, Chandraratna D, Clanet M, Comi G, Derfuss T, Fazekas F, Hartung HP, Havrdova E, Hemmer B, Kappos L, Liblau R, Lubetzki C, Marcus E, Miller DH, Olsson T, Pilling S, Selmaj K, Siva A, Sorensen PS, Sormani MP, Thalheim C, Wiendl H, Zipp F. ECTRIMS
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EAN
guideline on the pharmacological treatment of people with multiple sclerosis. Eur J Neurol 2018; 25:215-237. [DOI: 10.1111/ene.13536] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 11/27/2017] [Indexed: 01/21/2023]
Affiliation(s)
- X. Montalban
- Multiple Sclerosis Centre of Catalonia (Cemcat) Department of Neurology‐Neuroimmunology Vall d'Hebron University Hospital Barcelona Spain
| | - R. Gold
- Department of Neurology Ruhr University, St Josef‐Hospital Bochum Germany
| | - A. J. Thompson
- Department of Brain Repair and Rehabilitation Faculty of Brain Sciences University College London Institute of Neurology London UK
| | - S. Otero‐Romero
- Multiple Sclerosis Centre of Catalonia (Cemcat) Department of Neurology‐Neuroimmunology Vall d'Hebron University Hospital Barcelona Spain
- Preventive Medicine and Epidemiology Department Vall d'Hebron University Hospital Barcelona Spain
| | - M. P. Amato
- Department NEUROFARBA Section Neurosciences University of Florence Florence Italy
| | | | - M. Clanet
- Department of Neurology Toulouse University Hospital Toulouse France
| | - G. Comi
- Neurological Department Institute of Experimental Neurology (INSPE) Scientific Institute Hospital San Raffaele University Vita‐Salute San Raffaele Milan Italy
| | - T. Derfuss
- Departments of Neurology and Biomedicine University Hospital Basel Basel Switzerland
| | - F. Fazekas
- Department of Neurology Medical University of Graz Graz Austria
| | - H. P. Hartung
- Department of Neurology Medical Faculty, Multiple Sclerosis Heinrich‐Heine‐University Düsseldorf Germany
| | - E. Havrdova
- Department of Neurology and Centre of Clinical Neuroscience First Faculty of Medicine and General University Hospital Charles University Prague Czech Republic
| | - B. Hemmer
- Department of Neurology Klinikum Rechts der Isar Technische Universität München MunichGermany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
| | - L. Kappos
- University Hospital Basel Basel Switzerland
| | - R. Liblau
- INSERM UMR U1043 – CNRS U5282 Centre de Physiopathologie de Toulouse Purpan Université de Toulouse, UPS ToulouseFrance
| | - C. Lubetzki
- ICM‐GHU Pitié‐Salpêtrière Sorbonne Universités UPMC Univ Paris 06, UMR_S 1127 Paris France
| | - E. Marcus
- Centre for Outcomes Research and Effectiveness (CORE) Research Department of Clinical, Educational and Health Psychology University College London LondonUK
| | - D. H. Miller
- NMR Research Unit Queen Square Multiple Sclerosis Centre University College London (UCL) Institute of Neurology London UK
| | - T. Olsson
- Neuroimmunology Unit Centre for Molecular Medicine, L8:04 Karolinska University Hospital (Solna) Stockholm Sweden
| | - S. Pilling
- Centre for Outcomes Research and Effectiveness (CORE) Research Department of Clinical, Educational and Health Psychology University College London LondonUK
| | - K. Selmaj
- Department of Neurology Medical University of Lodz Lodz Poland
| | - A. Siva
- Clinical Neuroimmunology Unit and MS Clinic Department of Neurology Cerrahpasa School of Medicine Istanbul University Istanbul Turkey
| | - P. S. Sorensen
- Danish Multiple Sclerosis Centre Department of Neurology Copenhagen University Hospital Rigshospitalet Copenhagen Denmark
| | | | - C. Thalheim
- European Multiple Sclerosis Platform (EMSP) Schaerbeek/Brussels Belgium
| | - H. Wiendl
- Department of Neurology University of Münster MünsterGermany
| | - F. Zipp
- Department of Neurology Focus Program Translational Neuroscience (FTN) and Immunology (FZI) Rhine‐Main Neuroscience Network (rmn2) University Medical Centre of the Johannes Gutenberg University Mainz Mainz Germany
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Abstract
PURPOSE OF REVIEW This article provides an evidence-based approach to the management of patients with early relapsing multiple sclerosis (MS). RECENT FINDINGS Numerous clinical trials have shown the role of disease-modifying therapies in reducing relapses and new MRI lesions in patients with relapsing MS. Many of these trials also show the ability of these agents to delay disability progression, and a few suggest that disease-modifying therapies may slow brain atrophy in relapsing MS; however, very few suggest that disease-modifying therapies can improve symptoms or disability. The therapeutic armamentarium of disease-modifying therapies includes five interferon formulations, two versions of glatiramer acetate, mitoxantrone, natalizumab, fingolimod, teriflunomide, dimethyl fumarate, and alemtuzumab. SUMMARY Although multiple disease-modifying therapies exist, the risks of these vary markedly, head-to-head comparator trials are limited, and no prospective biomarkers for treatment efficacy exist; therefore, choosing a disease-modifying therapy for an individual patient with MS is a difficult decision. This difficulty is compounded by limitations in predicting a patient's disease course, and the risk tolerance of the patient and opinions of the care partner need to be factored into the decision analysis as well. After a disease-modifying therapy is chosen, vigilance for clinical or radiographic breakthrough disease is very important, as this may suggest a suboptimal response to the chosen therapy. Furthermore, the role of symptom management and wellness should always remain part of the approach to the patient with MS.
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Abstract
PURPOSE OF REVIEW We discuss new paradigms for understanding the immunopathology of multiple sclerosis through the recent development of high throughput genetic analysis, emergence of numerous candidate biomarkers, and the broadening of the treatment arsenal. RECENT FINDINGS The recent use of genome wide association studies provide new tools for a better understanding of multiple sclerosis etiology. Genome-wide association studies have identified many genes implicated in immune regulation and the next step will be to elucidate how those genetic variations influence immune cell function to drive disease development and progression. Furthermore, patient care has seen the emergence of new biomarkers for monitoring disease progression and response to treatment. Finally, the introduction of numerous immunomodulatory treatments will likely improve clinical outcome of multiple sclerosis patients in the future. SUMMARY Breakthroughs in the field of multiple sclerosis have led to a better understanding of the physiopathology of the disease, follow up, and treatment of the patients that develop relapsing remitting multiple sclerosis. The next challenge for multiple sclerosis will be to press forward to model and decipher multiple sclerosis progression, which will help both to develop therapeutics and generate knowledge about mechanisms of neurodegeneration.
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Parks NE, Flanagan EP, Lucchinetti CF, Wingerchuk DM. NEDA treatment target? No evident disease activity as an actionable outcome in practice. J Neurol Sci 2017; 383:31-34. [PMID: 29246616 DOI: 10.1016/j.jns.2017.10.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 10/05/2017] [Accepted: 10/08/2017] [Indexed: 11/29/2022]
Abstract
"No evident disease activity" (NEDA) is a proposed measure of disease activity-free status in multiple sclerosis (MS) that is typically defined as absence of relapses, disability progression, and MRI activity over a defined time period. NEDA is increasingly reported in randomized controlled trials of MS disease modifying therapies where it has some perceived advantages over outcomes such as annualized relapse rate. NEDA has also been proposed as a treatment goal in clinical care. At this point, the long-term implications of early NEDA remain largely unknown. We review current NEDA definitions, use in clinical trials, and its prospects for routine use as an actionable treatment target in clinical practice.
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Affiliation(s)
- Natalie E Parks
- Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA; Division of Neurology, Dalhousie University, 1341 Summer Street, Halifax, NS B3H4K4, Canada.
| | - Eoin P Flanagan
- Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
| | | | - Dean M Wingerchuk
- Department of Neurology, Mayo Clinic, 13400 E Shea Boulevard, Scottsdale, AZ 85259, USA.
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28
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Sormani MP, Truffinet P, Thangavelu K, Rufi P, Simonson C, De Stefano N. Predicting long-term disability outcomes in patients with MS treated with teriflunomide in TEMSO. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2017; 4:e379. [PMID: 28680917 PMCID: PMC5489388 DOI: 10.1212/nxi.0000000000000379] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 05/30/2017] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To predict long-term disability outcomes in TEMSO core (NCT00134563) and extension (NCT00803049) studies in patients with relapsing forms of MS treated with teriflunomide. METHODS A post hoc analysis was conducted in a subgroup of patients who received teriflunomide in the core study, had MRI and clinical relapse assessments at months 12 (n = 552) and 18, and entered the extension. Patients were allocated risk scores for disability worsening (DW) after 1 year of teriflunomide treatment: 0 = low risk; 1 = intermediate risk; and 2-3 = high risk, based on the occurrence of relapses (0 to ≥2) and/or active (new and enlarging) T2-weighted (T2w) lesions (≤3 or >3) after the 1-year MRI. Patients in the intermediate-risk group were reclassified as responders or nonresponders (low or high risk) according to relapses and T2w lesions on the 18-month MRI. Long-term risk (7 years) of DW was assessed by Kaplan-Meier survival curves. RESULTS In patients with a score of 2-3, the risk of 12-week-confirmed DW over 7 years was significantly higher vs those with a score of 0 (hazard ratio [HR] = 1.96, p = 0.0044). Patients reclassified as high risk at month 18 (18.6%) had a significantly higher risk of DW vs those in the low-risk group (81.4%; HR = 1.92; p = 0.0004). CONCLUSIONS Over 80% of patients receiving teriflunomide were classified as low risk (responders) and had a significantly lower risk of DW than those at increased risk (nonresponders) over 7 years of follow-up in TEMSO. Close monitoring of relapses and active T2w lesions after short-term teriflunomide treatment predicts a differential rate of subsequent DW long term. CLINICALTRIALSGOV IDENTIFIER TEMSO, NCT00134563; TEMSO extension, NCT00803049.
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Affiliation(s)
- Maria Pia Sormani
- Biostatistics Unit (M.P.S.), University of Genoa, Italy; Sanofi Genzyme (P.T., P.R.), Chilly-Mazarin, France; Sanofi Genzyme (K.T.), Cambridge, MA; Fishawack Communications Ltd (C.S.), Abingdon, Oxfordshire, UK; and Department of Medicine, Surgery, and Neurosciences (N.D.S.), University of Siena, Italy
| | - Philippe Truffinet
- Biostatistics Unit (M.P.S.), University of Genoa, Italy; Sanofi Genzyme (P.T., P.R.), Chilly-Mazarin, France; Sanofi Genzyme (K.T.), Cambridge, MA; Fishawack Communications Ltd (C.S.), Abingdon, Oxfordshire, UK; and Department of Medicine, Surgery, and Neurosciences (N.D.S.), University of Siena, Italy
| | - Karthinathan Thangavelu
- Biostatistics Unit (M.P.S.), University of Genoa, Italy; Sanofi Genzyme (P.T., P.R.), Chilly-Mazarin, France; Sanofi Genzyme (K.T.), Cambridge, MA; Fishawack Communications Ltd (C.S.), Abingdon, Oxfordshire, UK; and Department of Medicine, Surgery, and Neurosciences (N.D.S.), University of Siena, Italy
| | - Pascal Rufi
- Biostatistics Unit (M.P.S.), University of Genoa, Italy; Sanofi Genzyme (P.T., P.R.), Chilly-Mazarin, France; Sanofi Genzyme (K.T.), Cambridge, MA; Fishawack Communications Ltd (C.S.), Abingdon, Oxfordshire, UK; and Department of Medicine, Surgery, and Neurosciences (N.D.S.), University of Siena, Italy
| | - Catherine Simonson
- Biostatistics Unit (M.P.S.), University of Genoa, Italy; Sanofi Genzyme (P.T., P.R.), Chilly-Mazarin, France; Sanofi Genzyme (K.T.), Cambridge, MA; Fishawack Communications Ltd (C.S.), Abingdon, Oxfordshire, UK; and Department of Medicine, Surgery, and Neurosciences (N.D.S.), University of Siena, Italy
| | - Nicola De Stefano
- Biostatistics Unit (M.P.S.), University of Genoa, Italy; Sanofi Genzyme (P.T., P.R.), Chilly-Mazarin, France; Sanofi Genzyme (K.T.), Cambridge, MA; Fishawack Communications Ltd (C.S.), Abingdon, Oxfordshire, UK; and Department of Medicine, Surgery, and Neurosciences (N.D.S.), University of Siena, Italy
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Kaunzner UW, Gauthier SA. MRI in the assessment and monitoring of multiple sclerosis: an update on best practice. Ther Adv Neurol Disord 2017; 10:247-261. [PMID: 28607577 DOI: 10.1177/1756285617708911] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 03/09/2017] [Indexed: 01/14/2023] Open
Abstract
Magnetic resonance imaging (MRI) has developed into the most important tool for the diagnosis and monitoring of multiple sclerosis (MS). Its high sensitivity for the evaluation of inflammatory and neurodegenerative processes in the brain and spinal cord has made it the most commonly used technique for the evaluation of patients with MS. Moreover, MRI has become a powerful tool for treatment monitoring, safety assessment as well as for the prognostication of disease progression. Clinically, the use of MRI has increased in the past couple decades as a result of improved technology and increased availability that now extends well beyond academic centers. Consequently, there are numerous studies supporting the role of MRI in the management of patients with MS. The aim of this review is to summarize the latest insights into the utility of MRI in MS.
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Affiliation(s)
- Ulrike W Kaunzner
- Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York, NY, USA
| | - Susan A Gauthier
- Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, 1305 York Avenue, New York, NY 10021, USA
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30
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Kaunzner UW, Al-Kawaz M, Gauthier SA. Defining Disease Activity and Response to Therapy in MS. Curr Treat Options Neurol 2017; 19:20. [PMID: 28451934 DOI: 10.1007/s11940-017-0454-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OPINION STATEMENT Disease activity in multiple sclerosis (MS) has classically been defined by the occurrence of new neurological symptoms and the rate of relapses. Definition of disease activity has become more refined with the use of clinical markers, evaluating ambulation, dexterity, and cognition. Magnetic resonance imaging (MRI) has become an important tool in the investigation of disease activity. Number of lesions as well as brain atrophy have been used as surrogate outcome markers in several clinical trials, for which a reduction in these measures is appreciated in most treatment studies. With the increasing availability of new medications, the overall goal is to minimize inflammation to decrease relapse rate and ultimately prevent long-term disability. The aim of this review is to give an overview on commonly used clinical and imaging markers to monitor disease activity in MS, with emphasis on their use in clinical studies, and to give a recommendation on how to utilize these measures in clinical practice for the appropriate assessment of therapeutic response.
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Affiliation(s)
- Ulrike W Kaunzner
- Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, 1305 York Avenue, New York City, NY, 10021, USA
| | - Mais Al-Kawaz
- NewYork Presbyterian, Weill Cornell Medicine, 535 East 68th street, New York City, NY, USA
| | - Susan A Gauthier
- Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, 1305 York Avenue, New York City, NY, 10021, USA.
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31
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McNamara C, Sugrue G, Murray B, MacMahon PJ. Current and Emerging Therapies in Multiple Sclerosis: Implications for the Radiologist, Part 2-Surveillance for Treatment Complications and Disease Progression. AJNR Am J Neuroradiol 2017; 38:1672-1680. [PMID: 28428206 DOI: 10.3174/ajnr.a5148] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
An understanding of the new generation of MS drugs in conjunction with the key role MR imaging plays in the detection of disease progression, opportunistic infections, and drug-related adverse effects is of vital importance to the neuroradiologist. Part 1 of this review outlined the current treatment options available for MS and examined the mechanisms of action of the various medications. It also covered specific complications associated with each form of therapy. Part 2, in turn deals with the subject of pharmacovigilance and the optimal frequency of MRI monitoring for each individual patient, depending on his or her unique risk profile. Special attention is given to the diagnosing of progressive multifocal leukoencephalopathy in patients treated with natalizumab as this is a key area in which neuroradiologists can contribute to improved patient outcomes. This article also outlines the aims of treatment and reviews the possibility of "no evidence of disease activity" becoming a treatment goal with the availability of more effective therapies. Potential future areas and technologies including image subtraction, brain volume measurement and advanced imaging techniques such as double inversion recovery are also reviewed. It is anticipated that such advancements in this rapidly developing field will improve the accuracy of monitoring an individual patient's response to treatment.
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Affiliation(s)
- C McNamara
- From the Departments of Radiology (C.M., G.S., P.J.M.)
| | - G Sugrue
- From the Departments of Radiology (C.M., G.S., P.J.M.)
| | - B Murray
- Neurology (B.M.), Mater Misericordiae University Hospital, Dublin, Ireland
| | - P J MacMahon
- From the Departments of Radiology (C.M., G.S., P.J.M.)
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Río J, Rovira À, Tintoré M, Otero-Romero S, Comabella M, Vidal-Jordana Á, Galán I, Castilló J, Arrambide G, Nos C, Tur C, Pujal B, Auger C, Sastre-Garriga J, Montalban X. Disability progression markers over 6-12 years in interferon-β-treated multiple sclerosis patients. Mult Scler 2017; 24:322-330. [PMID: 28287331 DOI: 10.1177/1352458517698052] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To investigate the association between activity during interferon-beta (IFNβ) therapy and disability outcomes in patients with relapsing-remitting multiple sclerosis (RRMS). METHODS A longitudinal study based on two previously described cohorts of IFNβ-treated RRMS patients was conducted. Patients were classified according to clinical activity after 2 years (clinical cohort) or to clinical and radiological activity after 1 year (magnetic resonance imaging (MRI) cohort). Multivariate Cox models were calculated for early disease activity predicting long-term disability. RESULTS A total of 516 patients from two different cohorts were included in the analyses. Persistent clinical disease activity during the first 2 years of therapy predicted severe long-term disability (clinical cohort). In the MRI cohort, modified Rio score and no or minimal evidence of disease activity (NEDA/MEDA) did not identify patients with risk of Expanded Disability Status Scale (EDSS) worsening. However, a Rio score ≥ 2 (hazard ratio (HR): 3.3, 95% confidence interval (CI): 1.7-6.4); ≥3 new T2 lesions (HR: 2.9, 95% CI: 1.5-5.6); or ≥2 Gd-enhancing lesions (HR: 2.1, 95% CI: 1.1-4) were able to identify patients with EDSS worsening. CONCLUSION Although early activity during IFNβ therapy is associated with poor long-term outcomes, minimal degree of activity does not seem to be predictive of EDSS worsening over 6.7-year mean follow-up.
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Affiliation(s)
- Jordi Río
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Àlex Rovira
- Unitat de RM, Servicio de Radiologia, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mar Tintoré
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Susana Otero-Romero
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Manuel Comabella
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Ángela Vidal-Jordana
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Ingrid Galán
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Joaquín Castilló
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Georgina Arrambide
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Carlos Nos
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Carmen Tur
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Berta Pujal
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Cristina Auger
- Unitat de RM, Servicio de Radiologia, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Xavier Montalban
- Servicio de Neurologia-Neuroimmunolgia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
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Raffel J, Gafson AR, Dahdaleh S, Malik O, Jones B, Nicholas R. Inflammatory Activity on Natalizumab Predicts Short-Term but Not Long-Term Disability in Multiple Sclerosis. PLoS One 2017; 12:e0169546. [PMID: 28081190 PMCID: PMC5231343 DOI: 10.1371/journal.pone.0169546] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 12/19/2016] [Indexed: 11/19/2022] Open
Abstract
Background In people with multiple sclerosis treated with interferon-beta or glatiramer acetate, new MRI lesions and relapses during the first year of treatment predict a poor prognosis. Objective To study this association in those receiving natalizumab. Methods Data were collected on relapses, new MRI activity, and Modified Rio Score after initiation of natalizumab in an observational cohort of 161 patients with high baseline disability. These were correlated with Expanded Disability Status Scale (EDSS) progression at years 1, 2, 3, and 3–7 after treatment initiation, versus pre-treatment baseline. Results 46/161 patients had a relapse in the first year and 44/161 had EDSS progression by year 2. Relapses and Modified Rio Score in the first year of treatment predicted EDSS progression at year 1 and 2 after treatment initiation. However, this effect disappeared with longer follow-up. Paradoxically, there was a trend towards inflammatory activity on treatment (first year Modified Rio Score, relapses, and MRI activity) predicting a lower risk of EDSS progression by years 3–7, although this did not reach statistical significance. Those with and without EDSS progression did not differ in baseline age, EDSS, or pre-treatment relapse rate. Relapses in year 0–1 predicted further relapses in years 1–3. Conclusions Breakthrough inflammatory activity after natalizumab treatment is predictive of short-term outcome measures of relapses or EDSS progression, but does not predict longer term EDSS progression, in this cohort with high baseline disability.
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Affiliation(s)
- Joel Raffel
- Department of Medicine, Imperial College London, London, United Kingdom
- * E-mail:
| | - Arie R. Gafson
- Department of Medicine, Imperial College London, London, United Kingdom
| | - Samer Dahdaleh
- Department of Medicine, Imperial College London, London, United Kingdom
| | - Omar Malik
- Department of Medicine, Imperial College London, London, United Kingdom
| | - Brynmor Jones
- Department of Medicine, Imperial College London, London, United Kingdom
| | - Richard Nicholas
- Department of Medicine, Imperial College London, London, United Kingdom
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Clarelli F, Liberatore G, Sorosina M, Osiceanu AM, Esposito F, Mascia E, Santoro S, Pavan G, Colombo B, Moiola L, Martinelli V, Comi G, Martinelli-Boneschi F. Pharmacogenetic study of long-term response to interferon-β treatment in multiple sclerosis. THE PHARMACOGENOMICS JOURNAL 2017; 17:84-91. [PMID: 26644207 DOI: 10.1038/tpj.2015.85] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 08/10/2015] [Accepted: 10/16/2015] [Indexed: 02/07/2023]
Abstract
The aim of the study is the identification of genetic factors that influence the long-term response to interferon-β (IFNβ) (4-year follow-up). We performed a genome-wide association study in 337 IFNβ-treated Italian multiple sclerosis patients at the extreme of treatment response, and we meta-analyzed association effects, integrating results with pathway analysis, gene-expression profiling of IFNβ-stimulated peripheral blood mononuclear cells from 20 healthy controls (HC) and expression quantitative locus (eQTL) analyses. From meta-analysis, 43 markers were associated at P<10-4, and two of them (rs7298096 and rs4726460) pointed to two genes, NINJ2 and TBXAS1, that were significantly downregulated after IFNβ stimulation in HC (P=3.1 × 10-9 and 5.6 × 10-10). We also observed an eQTL effect for the allele associated with favorable treatment response (rs4726460A); moreover, TBXAS1 appeared downregulated upon IFNβ administration (β=-0.39; P=0.02). Finally, we found an enrichment of pathways related to inflammatory processes and presynaptic membrane, the latter with involvement of genes related to glutamatergic system (GRM3 and GRIK2), confirming its potential role in the response to IFNβ.
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Affiliation(s)
- F Clarelli
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - G Liberatore
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - M Sorosina
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - A M Osiceanu
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - F Esposito
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology and Neurorehabilitation, Division of Neuroscience, INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - E Mascia
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - S Santoro
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - G Pavan
- Department of Neurology and Neurorehabilitation, Division of Neuroscience, INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - B Colombo
- Department of Neurology and Neurorehabilitation, Division of Neuroscience, INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - L Moiola
- Department of Neurology and Neurorehabilitation, Division of Neuroscience, INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - V Martinelli
- Department of Neurology and Neurorehabilitation, Division of Neuroscience, INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - G Comi
- Department of Neurology and Neurorehabilitation, Division of Neuroscience, INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - F Martinelli-Boneschi
- Laboratory of Genetics of Neurological Complex Disorders, CNS Inflammatory Unit, Division of Neuroscience & INSPE, San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology and Neurorehabilitation, Division of Neuroscience, INSPE, San Raffaele Scientific Institute, Milan, Italy
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Newsome SD, Aliotta PJ, Bainbridge J, Bennett SE, Cutter G, Fenton K, Lublin F, Northrop D, Rintell D, Walker BD, Weigel M, Zackowski K, Jones DE. CME/CNE Article: A Framework of Care in Multiple Sclerosis, Part 1: Updated Disease Classification and Disease-Modifying Therapy Use in Specific Circumstances. Int J MS Care 2016; 18:314-323. [PMID: 27999526 DOI: 10.7224/1537-2073.2016-051] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Activity Available Online: To access the article, post-test, and evaluation online, go to http://www.cmscscholar.org. TARGET AUDIENCE The target audience for this activity is physicians, physician assistants, nursing professionals, and other health-care providers involved in the management of patients with multiple sclerosis (MS). LEARNING OBJECTIVES Apply new information about MS to a comprehensive individualized treatment plan for patients with MSIntegrate the team approach into long-term planning in order to optimize rehabilitation care of patients with MSAccreditation Statement: This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the Consortium of Multiple Sclerosis Centers (CMSC), Nurse Practitioner Alternatives (NPA), and Delaware Media Group. The CMSC is accredited by the ACCME to provide continuing medical education for physicians. The CMSC designates this journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Nurse Practitioner Alternatives (NPA) is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation. NPA designates this enduring material for 1.0 Continuing Nursing Education credit. Laurie Scudder, DNP, NP, has served as Nurse Planner for this activity. She has disclosed no relevant financial relationships. Disclosures: Francois Bethoux, MD, Editor in Chief of the International Journal of MS Care (IJMSC), has served as Physician Planner for this activity. He has received royalties from Springer Publishing and has received intellectual property rights from Biogen. Laurie Scudder, DNP, NP, has served as Nurse Planner for this activity. She has disclosed no relevant financial relationships. Scott D. Newsome, DO, MSCS (author), has served on scientific advisory boards for Biogen, Genentech, Novartis, and Genzyme, and has performed contracted research (institution received funds) for Biogen, Genentech, and Novartis. Philip J. Aliotta, MD, MSHA, CHCQM, FACS (author), has served on speakers' bureaus for Astellas Pharma, Actavis, Augmenix, and Allergan and has performed contracted research for Allergan. Jacquelyn Bainbridge, PharmD (author), has disclosed no relevant financial relationships. Susan E. Bennett, PT, DPT, EdD, NCS, MSCS (author), has served on speakers' bureaus for Acorda Therapeutics, Biogen, and Medtronic; has received consulting fees from and performed contracted research for Acorda Therapeutics; and is chair of the Clinical Events Committee at Innovative Technologies. Gary Cutter, PhD (author), has participated on Data and Safety Monitoring Committees for AMO Pharma, Apotek, Gilead Pharmaceuticals, Horizon Pharmaceuticals, Modigenetech/Prolor, Merck, Merck/Pfizer, Opko Biologics, Neuren, Sanofi-Aventis, Reata Pharmaceuticals, Receptos/Celgene, Teva Pharmaceuticals, NHLBI (Protocol Review Committee), and NICHD (OPRU Oversight Committee); has received consulting fees from and/or served on speakers' bureaus and scientific advisory boards for Cerespir, Genzyme, Genentech, Innate Therapeutics, Janssen Pharmaceuticals, Klein-Buendel Incorporated, MedImmune, Medday, Nivalis, Novartis, Opexa Therapeutics, Roche, Savara, Somahlution, Teva Pharmaceuticals, Transparency Life Sciences, and TG Therapeutics; and is President of Pythagoras, Inc., a private consulting company located in Birmingham, AL. Kaylan Fenton, CRNP, APNP, MSCN (author), has disclosed no relevant financial relationships. Fred Lublin, MD (author), has received consulting fees/fees for non-CME/CE activities from Bayer HealthCare Pharmaceuticals, Biogen, EMD Serono, Novartis, Teva Neuroscience, Actelion, Sanofi/Genzyme, Acorda, Questcor/Mallinckrodt, Roche/Genentech, MedImmune, Osmotica, Xenoport, Receptos/Celgene, Forward Pharma, Akros, TG Therapeutics, AbbVie, Toyama, Amgen, Medday, Atara Biotherapeutics, Polypharma, Pfizer, Johnson & Johnson, Revalesio, Coronado Bioscience, and Bristol-Myers Squibb; has served on speakers' bureaus for Genentech/Roche and Genzyme/Sanofi; has performed contracted research for Acorda, Biogen, Novartis, Teva Neuroscience, Genzyme, Xenoport, and Receptos; is the co-chief editor of Multiple Sclerosis and Related Disorders; and has an ownership interest in Cognition Pharmaceuticals. Dorothy Northrop, MSW, ACSW (author), has disclosed no relevant financial relationships. David Rintell, EdD (author), has received consulting fees from Novartis and has served as a patient education speaker for Teva Neuroscience. He started as a salaried employee of Sanofi Genzyme in November 2015. Dr. Rintell's work on this project was completed before he became a salaried employee of Sanofi Genzyme.Bryan D. Walker, MHS, PA-C (author), has served on scientific advisory boards for EMD Serono and Sanofi Genzyme and owns stock in Biogen. Megan Weigel, DNP, ARNP-C, MSCN (author), has received consulting fees from Mallinckrodt, Genzyme, and Genentech, and has served on speakers' bureaus for Bayer Corp, Acorda Therapeutics, Teva Neuroscience, Biogen, Mallinckrodt, Genzyme, Novartis, and Pfizer. Kathleen Zackowski, PhD, OTR, MSCS (author), has performed contracted research for Acorda Therapeutics. David E. Jones, MD (author), has received consulting fees from Biogen and Novartis, and has performed contracted research for Biogen. One anonymous peer reviewer for the IJMSC has performed contracted research (institution received funds) for Novartis, Chugai, and Biogen. Another reviewer has received consulting fees and served on speakers' bureaus for Biogen, Sanofi Genzyme, Genentech, EMD Serono, and Novartis. The third reviewer has disclosed no relevant financial relationships. Lori Saslow, MS (medical writer), has disclosed no relevant financial relationships. The staff at the IJMSC, CMSC, NPA, and Delaware Media Group who are in a position to influence content have disclosed no relevant financial relationships. Note: Disclosures listed for authors are those applicable at the time of their work on this project and within 12 months previously. Financial relationships for some authors may have changed in the interval between the time of their work on this project and publication of the article. Funding/Support: Funding for the Framework of Care consensus conference was provided by the Consortium of Multiple Sclerosis Centers, Mallinckrodt Pharmaceuticals, and Mylan Pharmaceuticals. Method of Participation: Release Date: December 1, 2016 Valid for Credit Through: December 1, 2017 In order to receive CME/CNE credit, participants must: Review the CME/CNE information, including learning objectives and author disclosures.Study the educational content.Complete the post-test and evaluation, which are available at http://www.cmscscholar.org. Statements of Credit are awarded upon successful completion of the post-test with a passing score of >70% and the evaluation. There is no fee to participate in this activity. Disclosure of Unlabeled Use: This CME/CNE activity may contain discussion of published and/or investigational uses of agents that are not approved by the FDA. CMSC, NPA, and Delaware Media Group do not recommend the use of any agent outside of the labeled indications. The opinions expressed in the educational activity are those of the faculty and do not necessarily represent the views of CMSC, NPA, or Delaware Media Group. Disclaimer: Participants have an implied responsibility to use the newly acquired information to enhance patient outcomes and their own professional development. The information presented in this activity is not meant to serve as a guideline for patient management. Any medications, diagnostic procedures, or treatments discussed in this publication should not be used by clinicians or other health-care professionals without first evaluating their patients' conditions, considering possible contraindications or risks, reviewing any applicable manufacturer's product information, and comparing any therapeutic approach with the recommendations of other authorities.
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Cohan S, Chen C, Baraban E, Stuchiner T, Grote L. MRI utility in the detection of disease activity in clinically stable patients with multiple sclerosis: a retrospective analysis of a community based cohort. BMC Neurol 2016; 16:184. [PMID: 27658385 PMCID: PMC5034445 DOI: 10.1186/s12883-016-0699-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 09/12/2016] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Since the application of MRI scanning to the diagnosis and treatment of multiple sclerosis, it has been recognized that only a small fraction of lesions seen on MRI scans produce recognizable symptoms or neurological findings. Because new lesions may occur without clinical detection, the recommendation has been made that MRI scanning be performed on a routine scheduled basis, usually yearly, even in patients who are clinically stable. METHODS A retrospective chart review study was conducted on MS patients who had MRI scans of the central nervous system between 2009 and 2012 at Providence Multiple Sclerosis Center. Inclusion criteria were patients with relapsing MS who had been treated with interferon beta or glatiramer acetate for 6 months or longer. Information on type, indication, and result of MRI and whether a change in disease modifying therapy occurred as a result of the scan was collected. RESULTS Of the 436 clinically stable patients who had routine MRI, 16.7 % of subjects had scans revealing new, enlarged or active lesions, yet in only 4.4 % patients was there a change in therapy based upon MRI results. Subjects who had MRI changes were found to be younger (50.15 vs 53.43, p = 0.02) but there was no significant difference in other demographic or clinical characteristics when compared with the subjects who did not have MRI changes. Thirty-six percent of patients with MRI changes did not change DMT due to patient request. CONCLUSIONS This study provides data on the likelihood of detecting MRI-documented disease activity, in patients demonstrating longer term sustained clinical stability while receiving DMTs. These results may materially assist in the decision whether or not to perform yearly MRI scanning of such patients. The potential clinical impact of the results of routine MRI scanning must be weighed against the consideration of considerable expense of frequent MRI scanning, and the yet unknown adverse impact of retained gadolinium in patients repeatedly receiving this contrast agent. The long-term clinical impact of not changing DMTs in patients in whom MRI changes were observed will be addressed in future studies of this cohort.
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Affiliation(s)
- Stanley Cohan
- Providence Multiple Sclerosis Center, 9135 SW Barnes Rd Suite 461, Portland, 97225, OR, USA
| | - Chiayi Chen
- Providence Brain and Spine Institute, 9155 SW Barnes Rd Suite 304, Portland, 97225, OR, USA.
| | - Elizabeth Baraban
- Providence Brain and Spine Institute, 9155 SW Barnes Rd Suite 731, Portland, 97225, OR, USA
| | - Tamela Stuchiner
- Providence Brain and Spine Institute, 9155 SW Barnes Rd Suite 731, Portland, 97225, OR, USA
| | - Lois Grote
- Providence Brain and Spine Institute, 9155 SW Barnes Rd Suite 304, Portland, 97225, OR, USA
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["Time is brain" in relapsing remitting multiple sclerosis. Current treatment concepts in immunotherapy]. DER NERVENARZT 2016; 86:1528-37. [PMID: 26556094 DOI: 10.1007/s00115-015-4439-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND Despite highly divergent time scales of disease evolution in multiple sclerosis (MS) and ischemic stroke, clear analogies are apparent that may point the way to optimization of MS treatment. Inflammatory disease activity and neurodegeneration may induce potentially irreversible damage to central nervous system structures and thus lead to permanent disability. For the treatment of MS early detection of disease activity and early immunotherapy or treatment optimization are pivotal determinants of long-term outcomes. Such therapeutic concepts may be described with the catchy phrase "time is brain" as coined for the acute thrombolytic treatment of ischemic stroke. RESULTS AND DISCUSSION For MS a "time is brain" concept would comprise an early initiation of first line therapy as well as sensitive and structured monitoring of disease activity under therapy in conjunction with a low threshold for timely treatment optimization to achieve sustained freedom from measurable disease activity. This approach may substantially improve the long-term outcome in patients who show insufficient response to platform therapies. The intersectorial collaboration in regional MS care networks involving office-based neurologists and specialized MS centers may facilitate the timely use of highly active therapies with their specific benefit-risk profiles thus supporting sustained stabilization of patient quality of life.
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Cohan S. Therapeutic efficacy of monthly subcutaneous injection of daclizumab in relapsing multiple sclerosis. Biologics 2016; 10:119-38. [PMID: 27672308 PMCID: PMC5026217 DOI: 10.2147/btt.s89218] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Despite the availability of multiple disease-modifying therapies for relapsing multiple sclerosis (MS), there remains a need for highly efficacious targeted therapy with a favorable benefit-risk profile and attributes that encourage a high level of treatment adherence. Daclizumab is a humanized monoclonal antibody directed against CD25, the α subunit of the high-affinity interleukin 2 (IL-2) receptor, that reversibly modulates IL-2 signaling. Daclizumab treatment leads to antagonism of proinflammatory, activated T lymphocyte function and expansion of immunoregulatory CD56(bright) natural killer cells, and has the potential to, at least in part, rectify the imbalance between immune tolerance and autoimmunity in relapsing MS. The clinical pharmacology, efficacy, and safety of subcutaneous daclizumab have been evaluated extensively in a large clinical study program. In pivotal studies, daclizumab demonstrated superior efficacy in reducing clinical and radiologic measures of MS disease activity compared with placebo or intramuscular interferon beta-1a, a standard-of-care therapy for relapsing MS. The risk of hepatic disorders, cutaneous events, and infections was modestly increased. The monthly subcutaneous self-injection dosing regimen of daclizumab may be advantageous in maintaining patient adherence to treatment, which is important for optimal outcomes with MS disease-modifying therapy. Daclizumab has been approved in the US and in the European Union and represents an effective new treatment option for patients with relapsing forms of MS, and is currently under review by other regulatory agencies.
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Affiliation(s)
- Stanley Cohan
- Providence Multiple Sclerosis Center
- Providence Brain and Spine Institute
- Providence Health & Services, Portland, OR, USA
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Cree BAC, Gourraud PA, Oksenberg JR, Bevan C, Crabtree-Hartman E, Gelfand JM, Goodin DS, Graves J, Green AJ, Mowry E, Okuda DT, Pelletier D, von Büdingen HC, Zamvil SS, Agrawal A, Caillier S, Ciocca C, Gomez R, Kanner R, Lincoln R, Lizee A, Qualley P, Santaniello A, Suleiman L, Bucci M, Panara V, Papinutto N, Stern WA, Zhu AH, Cutter GR, Baranzini S, Henry RG, Hauser SL. Long-term evolution of multiple sclerosis disability in the treatment era. Ann Neurol 2016; 80:499-510. [PMID: 27464262 PMCID: PMC5105678 DOI: 10.1002/ana.24747] [Citation(s) in RCA: 293] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Revised: 07/12/2016] [Accepted: 07/24/2016] [Indexed: 12/20/2022]
Abstract
Objective To characterize the accrual of long‐term disability in a cohort of actively treated multiple sclerosis (MS) patients and to assess whether clinical and magnetic resonance imaging (MRI) data used in clinical trials have long‐term prognostic value. Methods This is a prospective study of 517 actively managed MS patients enrolled at a single center. Results More than 91% of patients were retained, with data ascertained up to 10 years after the baseline visit. At this last assessment, neurologic disability as measured by the Expanded Disability Status Scale (EDSS) was stable or improved compared to baseline in 41% of patients. Subjects with no evidence of disease activity (NEDA) by clinical and MRI criteria during the first 2 years had long‐term outcomes that were no different from those of the cohort as a whole. 25‐OH vitamin D serum levels were inversely associated with short‐term MS disease activity; however, these levels had no association with long‐term disability. At a median time of 16.8 years after disease onset, 10.7% (95% confidence interval [CI] = 7.2–14%) of patients reached an EDSS ≥ 6, and 18.1% (95% CI = 13.5–22.5%) evolved from relapsing MS to secondary progressive MS (SPMS). Interpretation Rates of worsening and evolution to SPMS were substantially lower when compared to earlier natural history studies. Notably, the NEDA 2‐year endpoint was not a predictor of long‐term stability. Finally, the data call into question the utility of annual MRI assessments as a treat‐to‐target approach for MS care. Ann Neurol 2016;80:499–510
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Affiliation(s)
| | - Bruce A C Cree
- Department of Neurology, University of California, San Francisco, San Francisco, CA.
| | | | - Jorge R Oksenberg
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Carolyn Bevan
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | | | - Jeffrey M Gelfand
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Douglas S Goodin
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jennifer Graves
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Ari J Green
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Ellen Mowry
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Darin T Okuda
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Daniel Pelletier
- Department of Neurology, University of Southern California, Los Angeles, CA
| | | | - Scott S Zamvil
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alisha Agrawal
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stacy Caillier
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Caroline Ciocca
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Refujia Gomez
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Rachel Kanner
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Robin Lincoln
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Antoine Lizee
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Pamela Qualley
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Adam Santaniello
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Leena Suleiman
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Monica Bucci
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Valentina Panara
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nico Papinutto
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - William A Stern
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alyssa H Zhu
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gary R Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL
| | - Sergio Baranzini
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Roland G Henry
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stephen L Hauser
- Department of Neurology, University of California, San Francisco, San Francisco, CA
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Ziemssen T, Kern R, Cornelissen C. Study design of PANGAEA 2.0, a non-interventional study on RRMS patients to be switched to fingolimod. BMC Neurol 2016; 16:129. [PMID: 27502119 PMCID: PMC4977700 DOI: 10.1186/s12883-016-0648-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Accepted: 07/26/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND The therapeutic options for patients with Multiple Sclerosis (MS) have steadily increased due to the approval of new substances that now supplement traditional first-line agents, demanding a paradigm shift in the assessment of disease activity and treatment response in clinical routine. Here, we report the study design of PANGAEA 2.0 (Post-Authorization Non-interventional GermAn treatment benefit study of GilEnyA in MS patients), a non-interventional study in patients with relapsing-remitting MS (RRMS) identify patients with disease activity and monitor their disease course after treatment switch to fingolimod (Gilenya®), an oral medication approved for patients with highly active RRMS. METHOD/DESIGN In the first phase of the PANGAEA 2.0 study the disease activity status of patients receiving a disease-modifying therapy (DMT) is evaluated in order to identify patients at risk of disease progression. This evaluation is based on outcome parameters for both clinical disease activity and magnetic resonance imaging (MRI), and subclinical measures, describing disease activity from the physician's and the patient's perspective. In the second phase of the study, 1500 RRMS patients identified as being non-responders and switched to fingolimod (oral, 0.5 mg/daily) are followed-up for 3 years. Data on relapse activity, disability progression, MRI lesions, and brain volume loss will be assessed in accordance to 'no evidence of disease activity-4' (NEDA-4). The modified Rio score, currently validated for the evaluation of treatment response to interferons, will be used to evaluate the treatment response to fingolimod. The MS management software MSDS3D will guide physicians through the complex processes of diagnosis and treatment. A sub-study further analyzes the benefits of a standardized quantitative evaluation of routine MRI scans by a central reading facility. PANGAEA 2.0 is being conducted between June 2015 and December 2019 in 350 neurological practices and centers in Germany, including 100 centers participating in the sub-study. DISCUSSION PANGAEA 2.0 will not only evaluate the long-term benefit of a treatment change to fingolimod but also the applicability of new concepts of data acquisition, assessment of MS disease activity and evaluation of treatment response for the in clinical routine. TRIAL REGISTRATION BfArM6532; Trial Registration Date: 20/05/2015.
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Affiliation(s)
- Tjalf Ziemssen
- Zentrum für klinische Neurowissenschaften, Klinik und Poliklinik für Neurologie, Universitätsklinikum Carl Gustav Carus Dresden, Technische Universität Dresden, Fetscherstr. 43, D-01307, Dresden, Germany.
| | - Raimar Kern
- Zentrum für klinische Neurowissenschaften, Klinik und Poliklinik für Neurologie, Universitätsklinikum Carl Gustav Carus Dresden, Technische Universität Dresden, Fetscherstr. 43, D-01307, Dresden, Germany
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Leocani L, Rocca MA, Comi G. MRI and neurophysiological measures to predict course, disability and treatment response in multiple sclerosis. Curr Opin Neurol 2016; 29:243-53. [DOI: 10.1097/wco.0000000000000333] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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Tornatore C, Phillips JT, Khan O, Miller AE, Hughes M. Consensus opinion of US neurologists on practice patterns in RIS, CIS, and RRMS: Evolution of treatment practices. Neurol Clin Pract 2016; 6:329-338. [PMID: 27574570 DOI: 10.1212/cpj.0000000000000254] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW To assess current practice patterns of US neurologists in patients with radiologically isolated syndrome (RIS), clinically isolated syndrome (CIS), and relapsing-remitting multiple sclerosis (RRMS) using case-based Web surveys. RECENT FINDINGS We identified a total of 47 points of consensus (≥75% agreement) with regard to diagnosis, treatment, and monitoring of RIS, CIS, and RRMS. Current US treatment consensus patterns emphasize (1) MRI in multiple sclerosis (MS) diagnosis and subsequent treatment decisions, (2) treatment of early disease, (3) aggressive initial treatment of highly active MS, and (4) close patient monitoring for clinical response and adverse effects of disease-modifying drugs. SUMMARY These findings may offer insights into harmonizing MS care and represent the first steps in potentially establishing a more uniform approach to the treatment of patients with MS in the United States without compromising the need for individual treatment for each patient.
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Affiliation(s)
- Carlo Tornatore
- Medstar Georgetown University Hospital (CT), Washington, DC; Baylor Institute for Immunology Research (JTP), Dallas, TX; Wayne State University School of Medicine (OK), Detroit, MI; Icahn School of Medicine at Mount Sinai (AEM), New York, NY; and Infusion Communications (MH), Haddam, CT
| | - J Theodore Phillips
- Medstar Georgetown University Hospital (CT), Washington, DC; Baylor Institute for Immunology Research (JTP), Dallas, TX; Wayne State University School of Medicine (OK), Detroit, MI; Icahn School of Medicine at Mount Sinai (AEM), New York, NY; and Infusion Communications (MH), Haddam, CT
| | - Omar Khan
- Medstar Georgetown University Hospital (CT), Washington, DC; Baylor Institute for Immunology Research (JTP), Dallas, TX; Wayne State University School of Medicine (OK), Detroit, MI; Icahn School of Medicine at Mount Sinai (AEM), New York, NY; and Infusion Communications (MH), Haddam, CT
| | - Aaron E Miller
- Medstar Georgetown University Hospital (CT), Washington, DC; Baylor Institute for Immunology Research (JTP), Dallas, TX; Wayne State University School of Medicine (OK), Detroit, MI; Icahn School of Medicine at Mount Sinai (AEM), New York, NY; and Infusion Communications (MH), Haddam, CT
| | - Mark Hughes
- Medstar Georgetown University Hospital (CT), Washington, DC; Baylor Institute for Immunology Research (JTP), Dallas, TX; Wayne State University School of Medicine (OK), Detroit, MI; Icahn School of Medicine at Mount Sinai (AEM), New York, NY; and Infusion Communications (MH), Haddam, CT
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Galassi S, Prosperini L, Logoteta A, Hirsch MN, Fanelli F, De Giglio L, Pozzilli C. A lesion topography-based approach to predict the outcomes of patients with multiple sclerosis treated with Interferon Beta. Mult Scler Relat Disord 2016; 8:99-106. [PMID: 27456883 DOI: 10.1016/j.msard.2016.05.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 05/09/2016] [Accepted: 05/15/2016] [Indexed: 01/31/2023]
Abstract
BACKGROUND With increasing availability of effective disease-modifying treatments for multiple sclerosis (MS), an early identification of patients who do not adequately respond to Interferon Beta (IFNB) is relevant to decide the future strategy. OBJECTIVE To investigate the predictive role of new lesion location on the risk of breakthrough disease in IFNB-treated patients with MS. METHODS We analysed data from 392 patients starting IFNB and regularly followed up to 5 years. Before and after one year of IFNB treatment, all patients underwent a conventional brain and spinal cord magnetic resonancer imaging (MRI) scan with the same 1.5T magnet to obtain the count and location of new MRI lesions. Relapses and MRI activity occurred in the first year of IFNB treatment (year 0-1) were included in the set of potential predictors for relapses and disability worsening in the subsequent four years (year 2-5). RESULTS We found that 96 (24.5%) patients had relapses and/or MRI activity in the first year of IFNB treatment, while 41.6% of the patients experienced relapses and 17.8% experienced disability worsening. from year 2 to 5. The risk of relapses (year 2-5) was associated with ≥2 relapses (HR=5.65, p<0.001) and new T2-hyperintense lesions (for 2 new lesions: HR=1.96, p=0.011; for ≥3 new lesions: HR=3.55, p<0.001) in the first year of treatment. Other than male sex (HR=2.01, p=0.01) and higher EDSS score (HR=2.17, p<0.001), the risk of disability worsening (year 2-5) was associated with ≥2 relapses (HR=4.33, p<0.001) and new spinal cord or infratentorial lesions (HR=4.45,p<0.001) in the first year of treatment. CONCLUSIONS Our findings suggest a dose-effect relationship between the lesion count and the risk of future relapses, while the occurrence of new MRI lesions in sites representing anatomical bottle-necks was better than lesion count at predicting the future risk of disability worsening despite IFNB treatment.
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Affiliation(s)
- Stefania Galassi
- Department of Diagnostic Imaging, San Giovanni Decollato Andosilla Hospital, Viterbo, Italy
| | - Luca Prosperini
- Department of Neurology and Psychiatry, Sapienza University, Rome, Italy.
| | | | | | | | - Laura De Giglio
- Department of Neurology and Psychiatry, Sapienza University, Rome, Italy; S. Andrea Hospital, Sapienza University, Rome, Italy
| | - Carlo Pozzilli
- Department of Neurology and Psychiatry, Sapienza University, Rome, Italy; S. Andrea Hospital, Sapienza University, Rome, Italy
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Cohen JA, Khatri B, Barkhof F, Comi G, Hartung HP, Montalban X, Pelletier J, Stites T, Ritter S, von Rosenstiel P, Tomic D, Kappos L. Long-term (up to 4.5 years) treatment with fingolimod in multiple sclerosis: results from the extension of the randomised TRANSFORMS study. J Neurol Neurosurg Psychiatry 2016; 87:468-75. [PMID: 26111826 PMCID: PMC4853559 DOI: 10.1136/jnnp-2015-310597] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Accepted: 05/13/2015] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The 12-month (M), phase 3, double-blind, randomised TRANSFORMS study demonstrated significant benefits of fingolimod 0.5 or 1.25 mg over interferon β-1a (IFNβ-1a) in patients with relapsing-remitting multiple sclerosis. We report the results of long-term (up to 4.5 years) extension of TRANSFORMS. METHODS Patients randomised to fingolimod (0.5/1.25 mg) in the core phase continued the same dose (continuous-fingolimod) in the extension, whereas those on IFNβ-1a were re-randomised (1:1) to fingolimod (IFN-switch; IFN: 0.5/1.25 mg). Outcomes included annualised relapse rate (ARR), confirmed disability progression and MRI measures. Results are presented here for the continuous-fingolimod 0.5 mg and pooled IFN-switch groups. RESULTS Of the 1027 patients who entered the extension, 772 (75.2%) completed the study. From baseline to the end of the study (EOS), ARR in patients on continuous-fingolimod 0.5 mg was significantly lower than in the IFN-switch group (M0-EOS: 0.17 vs 0.27). After switching to fingolimod (M0-12 vs M13-EOS), patients initially treated with IFN had a 50% reduction in ARR (0.40 vs 0.20), reduced MRI activity and a lower rate of brain volume loss. In a post hoc analysis, the proportion of IFN-switch patients with no evidence of disease activity increased by approximately 50% in the first year after switching to fingolimod treatment (44.3% to 66.0%). The safety profile was consistent with that observed in the core phase. CONCLUSIONS These results support a continued effect of long-term fingolimod therapy in maintaining a low rate of disease activity and sustained improved efficacy after switching from IFNβ-1a to fingolimod. CLINICAL TRIAL REGISTRATION NO NCT00340834.
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Affiliation(s)
- Jeffrey A Cohen
- Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bhupendra Khatri
- Center for Neurological Disorders and the Regional MS Center at WFHC, Milwaukee, Wisconsin, USA
| | - Frederik Barkhof
- Image Analysis Centre, VU University Medical Centre, Amsterdam, The Netherlands
| | - Giancarlo Comi
- Department of Neurology, Vita-Salute San Raffaele University, Milan, Italy
| | | | - Xavier Montalban
- Department of Neurology-Neuroimmunology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Jean Pelletier
- Department of Neurology and CRMBM CNRS6612, Aix Marseille Université, CHU La Timone, Marseille, France
| | - Tracy Stites
- Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA
| | - Shannon Ritter
- Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA
| | | | | | - Ludwig Kappos
- Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital, Basel, Switzerland
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Río J, Ruiz-Peña JL. Short-term suboptimal response criteria for predicting long-term non-response to first-line disease modifying therapies in multiple sclerosis: A systematic review and meta-analysis. J Neurol Sci 2015; 361:158-67. [PMID: 26810535 DOI: 10.1016/j.jns.2015.12.043] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 12/07/2015] [Accepted: 12/28/2015] [Indexed: 11/18/2022]
Abstract
INTRODUCTION There is no consensus about short-term suboptimal response to first-line treatments in relapsing-remitting multiple sclerosis. METHODS We searched studies with interferon beta or glatiramer acetate in which a long-term (≥ 2 years (y)) outcome could be predicted using short-term (≤ 1 y) suboptimal response criteria (EDSS-, imaging- and/or relapse-based). We obtained pooled diagnostic accuracy parameters for the 1-y criteria used to predict disability progression between 2-5 y. RESULTS We selected 45 articles. Eight studies allowed calculating pooled estimates of 16 criteria. The three criteria with best accuracy were: new or enlarging T2-weighted lesions (newT2) ≥ 1 (pooled sensitivity: 85.5%; specificity:70.2%; positive predictive value:48.0%; negative predictive value:93.8%), newT2 ≥ 2 (62.4%, 83.6%, 55.0% and 87.3%, respectively) and RIO score ≥ 2 (55.8%, 84.4%, 47.8% and 88.2%). Pooled percentages of suboptimal responders were 43.3%, 27.6% and 23.7%, respectively. Pooled diagnostic odds ratios were 14.6 (95% confidence interval: 1.4-155), 9.2 (1.4-59.0) and 8.2 (3.5-19.2). CONCLUSIONS All criteria had a limited predictive value. RIO score ≥ 2 at 1-y combined fair accuracy and consistency, limiting the probability of disability progression in the next years to 1 in 8 optimal responders. NewT2 ≥ 1 at 1-y had similar positive predictive value, but diminished the false negatives to 1 in 16 patients. More sensitive measures of treatment failure at short term are needed.
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Affiliation(s)
- Jordi Río
- Centre d'Esclerosi Múltiple de Catalunya (CEM-Cat), Servei de Neurologia-Neuroimmunologia, Hospital Universitari Vall d'Hebron, Psg. Vall d'Hebron 119-120, Barcelona 08035, Spain.
| | - Juan Luís Ruiz-Peña
- Unidad de Esclerosis Múltiple, Hospital Universitario Virgen Macarena, Avd. Dr Fedriani, 3, Sevilla 41071, Spain
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Abstract
AbstractMultiple sclerosis is a chronic demyelinating disease characterized by focal and diffuse inflammation of the central nervous system resulting in significant physical and cognitive disabilities. Disease-modifying therapies targeting the dysfunctional immune response are most effective in the first few years after disease onset, indicating that there is a limited time window for therapy to influence the disease course. No evidence of disease activity is emerging as a new standard for treatment response and may be associated with improved long-term disability outcomes. An aggressive management strategy, including earlier use of more potent immunomodulatory agents and close monitoring of the clinical and radiologic response to treatment, is recommended to minimize early brain volume loss and slow the progression of physical and cognitive impairments in patients with relapsing-remitting multiple sclerosis.
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Traboulsee A, Simon JH, Stone L, Fisher E, Jones DE, Malhotra A, Newsome SD, Oh J, Reich DS, Richert N, Rammohan K, Khan O, Radue EW, Ford C, Halper J, Li D. Revised Recommendations of the Consortium of MS Centers Task Force for a Standardized MRI Protocol and Clinical Guidelines for the Diagnosis and Follow-Up of Multiple Sclerosis. AJNR Am J Neuroradiol 2015; 37:394-401. [PMID: 26564433 DOI: 10.3174/ajnr.a4539] [Citation(s) in RCA: 237] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
An international group of neurologists and radiologists developed revised guidelines for standardized brain and spinal cord MR imaging for the diagnosis and follow-up of MS. A brain MR imaging with gadolinium is recommended for the diagnosis of MS. A spinal cord MR imaging is recommended if the brain MR imaging is nondiagnostic or if the presenting symptoms are at the level of the spinal cord. A follow-up brain MR imaging with gadolinium is recommended to demonstrate dissemination in time and ongoing clinically silent disease activity while on treatment, to evaluate unexpected clinical worsening, to re-assess the original diagnosis, and as a new baseline before starting or modifying therapy. A routine brain MR imaging should be considered every 6 months to 2 years for all patients with relapsing MS. The brain MR imaging protocol includes 3D T1-weighted, 3D T2-FLAIR, 3D T2-weighted, post-single-dose gadolinium-enhanced T1-weighted sequences, and a DWI sequence. The progressive multifocal leukoencephalopathy surveillance protocol includes FLAIR and DWI sequences only. The spinal cord MR imaging protocol includes sagittal T1-weighted and proton attenuation, STIR or phase-sensitive inversion recovery, axial T2- or T2*-weighted imaging through suspicious lesions, and, in some cases, postcontrast gadolinium-enhanced T1-weighted imaging. The clinical question being addressed should be provided in the requisition for the MR imaging. The radiology report should be descriptive, with results referenced to previous studies. MR imaging studies should be permanently retained and available. The current revision incorporates new clinical information and imaging techniques that have become more available.
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Affiliation(s)
- A Traboulsee
- From the Department of Medicine (Neurology) (A.T.), University of British Columbia, Vancouver, Canada
| | - J H Simon
- Portland VA Research Foundation and Oregon Health and Sciences University (J.H.S.), Portland, Oregon
| | - L Stone
- Mellen Center for MS Treatment and Research (L.S.), Cleveland Clinic, Cleveland, Ohio
| | - E Fisher
- Department of Biomedical Engineering, Cleveland Clinic (E.F.). Cleveland, Ohio
| | - D E Jones
- Department of Neurology, University of Virginia (D.E.J.), Charlottesville, Virginia
| | - A Malhotra
- Department of Radiology and Biomedical Imaging, Yale University (A.M.), New Haven, Connecticut
| | - S D Newsome
- Department of Neurology (S.D.N.), Johns Hopkins School of Medicine, Baltimore, Maryland
| | - J Oh
- St. Michael's Hospital (J.O.), University of Toronto, Toronto, Ontario, Canada
| | - D S Reich
- Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
| | - N Richert
- Biogen Idec (N.R.), Cambridge, Massachusetts
| | - K Rammohan
- University of Miami Multiple Sclerosis Center (K.R.), Miami, Florida
| | - O Khan
- Department of Neurology (O.K.), Wayne State University School of Medicine, Detroit, Michigan
| | - E-W Radue
- Department of Radiology (E.-W.R.), University Hospital, Basel, Switzerland
| | - C Ford
- University of New Mexico Health Science Center (C.F.), Albuquerque, New Mexico
| | - J Halper
- Consortium of Multiple Sclerosis Centers (J.H.), Hackensack, New Jersey
| | - D Li
- Departments of Radiology (D.L.), University of British Columbia, Vancouver, British Columbia Canada
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Biomarkers in multiple sclerosis. Clin Immunol 2015; 161:51-8. [DOI: 10.1016/j.clim.2015.06.015] [Citation(s) in RCA: 117] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 06/16/2015] [Accepted: 06/18/2015] [Indexed: 11/20/2022]
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Goodin DS, Reder AT, Bermel RA, Cutter GR, Fox RJ, John GR, Lublin FD, Lucchinetti CF, Miller AE, Pelletier D, Racke MK, Trapp BD, Vartanian T, Waubant E. Relapses in multiple sclerosis: Relationship to disability. Mult Scler Relat Disord 2015; 6:10-20. [PMID: 27063617 DOI: 10.1016/j.msard.2015.09.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Revised: 08/21/2015] [Accepted: 09/02/2015] [Indexed: 12/21/2022]
Abstract
Multiple sclerosis (MS) is a recurrent inflammatory disease of the central nervous system, which ultimately causes substantial disability in many patients. A key clinical feature of this disease is the occurrence of relapses, consisting of episodes of neurological dysfunction followed by periods of remission. This review considers in detail the importance of the occurrence of relapses to the ultimate course of MS and the impact of relap setreatment (both acutely and prophylactically) on the long-term outcome for individuals. The ultimate goal of therapy in MS is the reduction of long-term disability. Clinical trials in MS, however, typically only extend for a very short time period compared to the time it takes for disability to evolve. Consequently, short-term outcome measures that are associated with, and predict, future disability need to be identified. In this regard, not only are relapses a characteristic feature of MS, they have also been proven to be associated with the occurrence of long-term disability. Moreover, treatments that reduce the number and severity of these attacks improve the long-term prognosis.
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Affiliation(s)
- Douglas S Goodin
- Multiple Sclerosis Center, University of California, San Francisco Medical Center, San Francisco, CA, United States; Department of Neurology, University of California, San Francisco School of Medicine, San Francisco, CA, United States.
| | - Anthony T Reder
- Department of Neurology, The University of Chicago, Chicago, IL, United States
| | - Robert A Bermel
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, United States
| | - Gary R Cutter
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Robert J Fox
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Gareth R John
- Multiple Sclerosis Research Laboratory, Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Friedman Brain Institute, New York, NY, United States; Department of Neurology, Mount Sinai School of Medicine, New York, NY, United States
| | - Fred D Lublin
- Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Aaron E Miller
- Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Daniel Pelletier
- Neuro-Immunology Division and Yale Multiple Sclerosis Center, Advanced Imaging in Multiple Sclerosis (AIMS) Laboratory, Yale University School of Medicine, New Haven, CT, United States
| | - Michael K Racke
- Department of Neurology, Wexner Medical Center at The Ohio State University, Columbus, OH, United States
| | - Bruce D Trapp
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Timothy Vartanian
- Judith Jaffe Multiple Sclerosis Center, New York-Presbyterian Hospital/Weill Cornell Medical Center, Weill Cornell Medical College, United States
| | - Emmanuelle Waubant
- UCSF Regional Pediatric MS Center, Race to Erase MS, San Francisco, CA, United States
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50
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Ziemssen T, De Stefano N, Sormani MP, Van Wijmeersch B, Wiendl H, Kieseier BC. Optimizing therapy early in multiple sclerosis: An evidence-based view. Mult Scler Relat Disord 2015; 4:460-469. [DOI: 10.1016/j.msard.2015.07.007] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Revised: 06/01/2015] [Accepted: 07/15/2015] [Indexed: 01/26/2023]
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