201
|
A blood-based metabolomics test to distinguish relapsing-remitting and secondary progressive multiple sclerosis: addressing practical considerations for clinical application. Sci Rep 2020; 10:12381. [PMID: 32709911 PMCID: PMC7381627 DOI: 10.1038/s41598-020-69119-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 07/02/2020] [Indexed: 12/20/2022] Open
Abstract
The transition from relapsing–remitting multiple sclerosis (RRMS) to secondary progressive MS (SPMS) represents a huge clinical challenge. We previously demonstrated that serum metabolomics could distinguish RRMS from SPMS with high diagnostic accuracy. As differing sample-handling protocols can affect the blood metabolite profile, it is vital to understand which factors may influence the accuracy of this metabolomics-based test in a clinical setting. Herein, we aim to further validate the high accuracy of this metabolomics test and to determine if this is maintained in a ‘real-life’ clinical environment. Blood from 31 RRMS and 28 SPMS patients was subjected to different sample-handling protocols representing variations encountered in clinics. The effect of freeze–thaw cycles (0 or 1) and time to erythrocyte removal (30, 120, or 240 min) on the accuracy of the test was investigated. For test development, samples from the optimised protocol (30 min standing time, 0 freeze–thaw) were used, resulting in high diagnostic accuracy (mean ± SD, 91.0 ± 3.0%). This test remained able to discriminate RRMS and SPMS samples that had experienced additional freeze–thaw, and increased standing times of 120 and 240 min with accuracies ranging from 85.5 to 88.0%, because the top discriminatory metabolite biomarkers from the optimised protocol remained discriminatory between RRMS and SPMS despite these sample-handling variations. In conclusion, while strict sample-handling is essential for the development of metabolomics-based blood tests, the results confirmed that the RRMS vs. SPMS test is resistant to sample-handling variations and can distinguish these two MS stages in the clinics.
Collapse
|
202
|
Ziemssen T, Hoffmann O, Klotz L, Schreiber H, Weber MS, Rauser B. Gaining First Insights on Secondary Progressive Multiple Sclerosis Patients Treated With Siponimod in Clinical Routine: Protocol of the Noninterventional Study AMASIA. JMIR Res Protoc 2020; 9:e19598. [PMID: 32499214 PMCID: PMC7414415 DOI: 10.2196/19598] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 05/28/2020] [Accepted: 06/04/2020] [Indexed: 12/19/2022] Open
Abstract
Background A high proportion of patients with relapsing remitting multiple sclerosis convert to secondary progressive multiple sclerosis (SPMS) characterized by irreversibly progressing disability and cognitive decline. Siponimod (Mayzent), a selective sphingosine-1-phosphate receptor modulator, was recently approved by the European Medicines Agency for the treatment of adult SPMS patients with active disease, as evidenced by relapses or magnetic resonance imaging features of ongoing inflammatory activity. Approval by the Food and Drug Administration covers a broader range of indications, comprising clinically isolated syndrome, relapsing remitting multiple sclerosis, and active SPMS. However, treatment effects of siponimod have not been assessed in a structured setting in clinical routine so far. Objective The objectives of AMASIA (impAct of Mayzent [siponimod] on secondAry progressive multiple Sclerosis patients in a long-term non-Interventional study in GermAny), a prospective noninterventional study, are to assess the long-term effectiveness and safety of siponimod in clinical routine and to evaluate the impact of disease burden on quality of life and socioeconomic conditions. Here, we report the study design of AMASIA. Methods Treatment effects of siponimod will be evaluated in 1500 SPMS patients during a 3-year observational phase. According to the genetic polymorphism of CYP2C9, the initial dose will be titrated to the maintenance dose of 1 mg (CYP2C9*1*3 and *2*3) or 2 mg (all other polymorphisms of CYP2C9 except *3*3, which is contraindicated) taken orally once daily. Primary endpoint is the 6-month confirmed disability progression, as assessed by a functional composite endpoint comprising the Expanded Disability Status Scale and symbol digit modalities test to take appropriate account of cognitive changes and increase sensitivity. Further measures including multiple sclerosis activity data; assessments of functional domains; questionnaires addressing the patients’, physicians’, and relatives’ perspectives of disability progression; cognitive worsening; quality of life; and socioeconomic aspects will be documented using the multiple sclerosis documentation system MSDS3D. Results AMASIA is being conducted between February 2020 and February 2025 in up to 250 neurological centers in Germany. Conclusions AMASIA will complement the pivotal phase III–derived efficacy and safety profile of siponimod with real-world data and will further evaluate several individual treatment aspects such as quality of life and socioeconomic conditions of patients and caregivers. It might help to establish siponimod as a promising option for the treatment of SPMS patients in clinical routine. International Registered Report Identifier (IRRID) DERR1-10.2196/19598
Collapse
Affiliation(s)
- Tjalf Ziemssen
- Department of Neurology, Center of Clinical Neuroscience, Carl Gustav Carus University Clinic, University Hospital of Dresden, Dresden, Germany
| | - Olaf Hoffmann
- Department of Neurology, St Josefs-Krankenhaus, Potsdam, Germany
| | - Luisa Klotz
- Department of Neurology with Institute of Translational Neurology, University Hospital Muenster, Muenster, Germany
| | - Herbert Schreiber
- Neurological Practice Center, NTD & Neuropoint Academy, Ulm, Germany
| | - Martin S Weber
- Institute of Neuropathology, University Medical Center Goettingen, Goettingen, Germany.,Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | | |
Collapse
|
203
|
Kwon YN, Jung JH, Kim SJ, Sung JJ, Kim SM. Progressive brain atrophy and white matter changes in MOG encephalomyelitis. Neurology 2020; 95:402-403. [PMID: 32690792 DOI: 10.1212/wnl.0000000000010403] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Young Nam Kwon
- From the Department of Neurology (Y.N.K., J.-J.S., S.-M.K.) and Departments of Ophthalmology (J.H.J., S.-J.K.) and Neurology (J.-J.S., S.-M.K.), College of Medicine, Seoul National University, Seoul National University Hospital; and Department of Neurology (Y.N.K.), The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Korea
| | - Jae Ho Jung
- From the Department of Neurology (Y.N.K., J.-J.S., S.-M.K.) and Departments of Ophthalmology (J.H.J., S.-J.K.) and Neurology (J.-J.S., S.-M.K.), College of Medicine, Seoul National University, Seoul National University Hospital; and Department of Neurology (Y.N.K.), The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Korea
| | - Seong-Joon Kim
- From the Department of Neurology (Y.N.K., J.-J.S., S.-M.K.) and Departments of Ophthalmology (J.H.J., S.-J.K.) and Neurology (J.-J.S., S.-M.K.), College of Medicine, Seoul National University, Seoul National University Hospital; and Department of Neurology (Y.N.K.), The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Korea.
| | - Jung-Joon Sung
- From the Department of Neurology (Y.N.K., J.-J.S., S.-M.K.) and Departments of Ophthalmology (J.H.J., S.-J.K.) and Neurology (J.-J.S., S.-M.K.), College of Medicine, Seoul National University, Seoul National University Hospital; and Department of Neurology (Y.N.K.), The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Korea
| | - Sung-Min Kim
- From the Department of Neurology (Y.N.K., J.-J.S., S.-M.K.) and Departments of Ophthalmology (J.H.J., S.-J.K.) and Neurology (J.-J.S., S.-M.K.), College of Medicine, Seoul National University, Seoul National University Hospital; and Department of Neurology (Y.N.K.), The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Korea.
| |
Collapse
|
204
|
Conway DS, Thompson NR, Meng X, Johnson K, Fox RJ. Patient reported outcomes and performance metrics at diagnosis of secondary progressive multiple sclerosis. Mult Scler 2020; 27:742-754. [PMID: 32672101 DOI: 10.1177/1352458520936214] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Relapsing-remitting multiple sclerosis (RRMS) usually evolves into secondary progressive multiple sclerosis (SPMS). Recognition of SPMS is important because of prognostic and treatment implications. OBJECTIVE The objective of this study is to determine distributions of patient-reported outcomes (PROs) and the Timed 25-Foot Walk (T25FW) at SPMS diagnosis and describe the evolution of these metrics in patients with SPMS. METHODS A tertiary MS center clinical database was queried to identify patients with RRMS and SPMS. PRO data including performance scales (PS), Patient Health Questionnaire-9 (PHQ-9), European Quality of Life-5-Dimensions (EQ-5D), and the T25FW were extracted. Descriptive statistics were calculated at SPMS diagnosis, and score trajectories were modeled. Cox proportional hazards modeling was used to estimate hazard ratios for time to SPMS diagnosis. RESULTS Among 5,558 patients identified, 164 were diagnosed with SPMS between January 2008 and June 2016. At SPMS diagnosis, the mean outcome values were T25FW = 12.5 seconds (standard deviation, SD = 10.7), PS = 15.6 (SD = 6.5), PHQ-9 = 6.8 (SD = 4.2), and EQ-5D = 0.63 (SD = 0.20). Distinct patterns were observed in the measures leading up to SPMS diagnosis. Higher age, male gender, longer disease duration, and greater disability were associated with an increased hazard of SPMS diagnosis. CONCLUSION Longitudinal monitoring of PROs and performance metrics may help identify those at higher risk of near-term SPMS.
Collapse
Affiliation(s)
- Devon S Conway
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Nicolas R Thompson
- Department of Quantitative Health Sciences, Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Xiangyi Meng
- Division of Health Economics & Outcomes Research, Novartis Pharmaceuticals, East Hanover, NJ, USA
| | - Kristen Johnson
- Division of Health Economics & Outcomes Research, Novartis Pharmaceuticals, East Hanover, NJ, USA
| | - Robert J Fox
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| |
Collapse
|
205
|
Bigaut K, Fabacher T, Kremer L, Ongagna JC, Kwiatkowski A, Sellal F, Ferriby D, Courtois S, Vermersch P, Collongues N, Zéphir H, De Seze J, Outteryck O. Long-term effect of natalizumab in patients with RRMS: TYSTEN cohort. Mult Scler 2020; 27:729-741. [PMID: 32643521 DOI: 10.1177/1352458520936239] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Data are needed on long-term effect of natalizumab (NTZ) in relapsing-remitting multiple sclerosis (RRMS). OBJECTIVES To evaluate the time of onset of secondary progressive phase in patients with an RRMS treated with NTZ and to investigate predictive factors. METHODS TYSTEN is an observational study. Patients starting NTZ between 2007 and 2012 were included and followed up until October 2018. Relapses, Expanded Disability Status Scale (EDSS) scores, and results of brain magnetic resonance imaging (MRI) were collected each year. Data were used to estimate the cumulative probability of several poor outcomes such as secondary progressive multiple sclerosis (SPMS) conversion, EDSS worsening, EDSS 4.0, and EDSS 6.0. RESULTS 770 patients were included. The mean follow-up duration was 97 months and the mean time exposure to NTZ was 66 months. At 10 years, the cumulative probability of SPMS was 27.7%. Predictive factors for poor outcomes were a ⩾1-point increase in EDSS score from baseline, new T2 lesion or T1 gadolinium-enhancing lesion, the occurrence of relapse at 1 or 2 years and No Evidence of Disease Activity (NEDA-3; no relapse, no new T2 or T1 gadolinium-enhancing lesions, no progression) was a protective factor. CONCLUSION In our cohort of patients treated with NTZ, poor outcomes were infrequent and are driven by disease activity.
Collapse
Affiliation(s)
- Kévin Bigaut
- Department of Neurology, Hôpitaux Universitaires de Strasbourg, Strasbourg, France/Clinical Investigation Center, INSERM U1434, Strasbourg, France/Biopathology of Myelin, Neuroprotection and Therapeutic Strategies, INSERM U1119, Strasbourg, France
| | - Thibaut Fabacher
- Groupe méthode en recherche clinique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Laurent Kremer
- Department of Neurology, Hôpitaux Universitaires de Strasbourg, Strasbourg, France/Clinical Investigation Center, INSERM U1434, Strasbourg, France/Biopathology of Myelin, Neuroprotection and Therapeutic Strategies, INSERM U1119, Strasbourg, France
| | - Jean-Claude Ongagna
- Department of Neurology, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Arnaud Kwiatkowski
- Department of Neurology, Hôpital Saint Vincent De Paul, Groupement des Hôpitaux de l'Institut Catholique de Lille, Lille, France
| | - François Sellal
- Department of Neurology, Hôpitaux Civils de Colmar, Colmar, France
| | - Didier Ferriby
- Department of Neurology, Centre Hospitalier de Tourcoing, Tourcoing, France
| | - Sylvie Courtois
- Department of Neurology, Groupe Hospitalier de la Région de Mulhouse et Sud Alsace, Mulhouse, France
| | - Patrick Vermersch
- Department of Neurology, Centre Hospitalier Universitaire de Lille, Lille, France
| | - Nicolas Collongues
- Department of Neurology, Hôpitaux Universitaires de Strasbourg, Strasbourg, France/Clinical Investigation Center, INSERM U1434, Strasbourg, France/Biopathology of Myelin, Neuroprotection and Therapeutic Strategies, INSERM U1119, Strasbourg, France
| | - Hélène Zéphir
- Department of Neurology, Centre Hospitalier Universitaire de Lille, Lille, France
| | - Jérôme De Seze
- Department of Neurology, Hôpitaux Universitaires de Strasbourg, Strasbourg, France/Clinical Investigation Center, INSERM U1434, Strasbourg, France/Biopathology of Myelin, Neuroprotection and Therapeutic Strategies, INSERM U1119, Strasbourg, France
| | - Olivier Outteryck
- Department of Neurology, Centre Hospitalier Universitaire de Lille, Lille, France/Department of Neuroradiology, Centre Hospitalier Universitaire de Lille, Lille, France
| |
Collapse
|
206
|
Filippi M, Preziosa P, Langdon D, Lassmann H, Paul F, Rovira À, Schoonheim MM, Solari A, Stankoff B, Rocca MA. Identifying Progression in Multiple Sclerosis: New Perspectives. Ann Neurol 2020; 88:438-452. [PMID: 32506714 DOI: 10.1002/ana.25808] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 05/18/2020] [Accepted: 05/25/2020] [Indexed: 01/10/2023]
Abstract
The identification of progression in multiple sclerosis is typically retrospective. Given the profound burden of progressive multiple sclerosis, and the recent development of effective treatments for these patients, there is a need to establish measures capable of identifying progressive multiple sclerosis early in the disease course. Starting from recent pathological findings, this review assesses the state of the art of potential measures able to predict progressive multiple sclerosis. Future promising biomarkers that might shed light on mechanisms of progression are also discussed. Finally, expansion of the concept of progressive multiple sclerosis, by including an assessment of cognition, patient-reported outcomes, and comorbidities, is considered. ANN NEUROL 2020;88:438-452.
Collapse
Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Dawn Langdon
- Royal Holloway, University of London, London, United Kingdom
| | - Hans Lassmann
- Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Friedemann Paul
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Àlex Rovira
- Neuroradiology Section, Department of Radiology, Vall d'Hebron University Hospital and Research Institute, Autonomous University of Barcelona, Barcelona, Spain
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Multiple Sclerosis Center Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Alessandra Solari
- Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Bruno Stankoff
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute - ICM, Inserm, CNRS, APHP, Paris, France
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| |
Collapse
|
207
|
Foo EC, Russell M, Lily O, Ford HL. Mitoxantrone in relapsing-remitting and rapidly progressive multiple sclerosis: Ten-year clinical outcomes post-treatment with mitoxantrone. Mult Scler Relat Disord 2020; 44:102330. [PMID: 32599468 DOI: 10.1016/j.msard.2020.102330] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/15/2020] [Accepted: 06/21/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Mitoxantrone (MTX) has been used as an effective disease modifying treatment (DMT) in multiple sclerosis (MS). Evidence from studies demonstrates benefits of reduced relapse rates, MRI disease activity and disability progression in patients treated with MTX. While effective, MTX use has been limited due to potential adverse effects (AE) ranging from mild to potentially life-threatening AEs such as cardiotoxicity, bone marrow suppression and hematological malignancies. In this study we aimed to review the long-term clinical efficacy, tolerability, and AE profile of treatment with MTX in patients both with relapsing-remitting and rapidly progressive MS over a 10-year follow-up period. METHODS We collected prospective data of 70 patients with relapsing-remitting and rapidly progressive MS treated with MTX and followed-up over a 10-year period. Expanded disability status scale (EDSS) scores and annualized relapse rates (ARR) were assessed 1 year prior to MTX treatment, and at different time points (1, 2, 3, 5 and 10 years) during follow-up. We recorded the time to first relapse and 0.5-point EDSS increase to assess efficacy. We also obtained frequency data on AEs and patients withdrawn from treatment. RESULTS 70 patients were started on treatment with MTX with 53 patients (34 relapsing-remitting MS, 19 progressive disease) completing the course. Mean EDSS progressed from 5.5 to 6.5 in the relapsing-remitting group and 6.7 to 9.0 in the progressive group over the study period. ARR in the RRMS group reduced at all time points from 2.2 prior to MTX to 0.3 by year 10. We reported 3 significant AEs, one chicken pox and subsequent acute promyelocytic leukemia, one left ventricular systolic dysfunction, one pancytopenia. The commonest AE reported was nausea/vomiting in 28 (40%) patients. Seventeen patients (5 relapsing-remitting, 12 progressive disease) stopped treatment. In fifteen (87%) of these this was due to lack of efficacy. In the remaining 2 patients, MTX was stopped due to one patient developing chicken pox and the other developing first-degree heart block. CONCLUSION Our study demonstrated that MTX is an effective disease modifying treatment for relapsing-remitting MS with a well-established risk profile. While MTX is now used less frequently, many MS and neurology services continue to follow-up patients who have been treated with MTX previously. Therefore, understanding the long-term effects risks and benefits remains relevant in this patient group. MTX is also a low-cost treatment in comparison to other high efficacy MS disease-modifying treatments and this may be beneficial in low resource settings.
Collapse
Affiliation(s)
- E C Foo
- Department of Neurology, Leeds Centre for Neurosciences, Leeds General Infirmary, Leeds, LS1 3EX, United Kingdom.
| | - M Russell
- Department of Neurology, Leeds Centre for Neurosciences, Leeds General Infirmary, Leeds, LS1 3EX, United Kingdom
| | - O Lily
- Department of Neurology, Leeds Centre for Neurosciences, Leeds General Infirmary, Leeds, LS1 3EX, United Kingdom
| | - H L Ford
- Department of Neurology, Leeds Centre for Neurosciences, Leeds General Infirmary, Leeds, LS1 3EX, United Kingdom
| |
Collapse
|
208
|
Le M, Malpas C, Sharmin S, Horáková D, Havrdova E, Trojano M, Izquierdo G, Eichau S, Ozakbas S, Lugaresi A, Prat A, Girard M, Duquette P, Larochelle C, Alroughani R, Bergamaschi R, Sola P, Ferraro D, Grammond P, Grand' Maison F, Terzi M, Boz C, Hupperts R, Butzkueven H, Pucci E, Granella F, Van Pesch V, Soysal A, Yamout BI, Lechner-Scott J, Spitaleri DLA, Ampapa R, Turkoglu R, Iuliano G, Ramo-Tello C, Sanchez-Menoyo JL, Sidhom Y, Gouider R, Shaygannejad V, Prevost J, Altintas A, Fragoso YD, McCombe PA, Petersen T, Slee M, Barnett MH, Vucic S, Van Der Walt A, Kalincik T. Disability outcomes of early cerebellar and brainstem symptoms in multiple sclerosis. Mult Scler 2020; 27:755-766. [PMID: 32538713 DOI: 10.1177/1352458520926955] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cerebellar and brainstem symptoms are common in early stages of multiple sclerosis (MS) yet their prognostic values remain unclear. OBJECTIVE The aim of this study was to investigate long-term disability outcomes in patients with early cerebellar and brainstem symptoms. METHODS This study used data from MSBase registry. Patients with early cerebellar/brainstem presentations were identified as those with cerebellar/brainstem relapse(s) or functional system score ⩾ 2 in the initial 2 years. Early pyramidal presentation was chosen as a comparator. Andersen-Gill models were used to compare cumulative hazards of (1) disability progression events and (2) relapses between patients with and without early cerebellar/brainstem symptoms. Mixed effect models were used to estimate the associations between early cerebellar/brainstem presentations and expanded disability status scale (EDSS) scores. RESULTS The study cohort consisted of 10,513 eligible patients, including 2723 and 3915 patients with early cerebellar and brainstem symptoms, respectively. Early cerebellar presentation was associated with greater hazard of progression events (HR = 1.37, p < 0.001) and EDSS (β = 0.16, p < 0.001). Patients with early brainstem symptoms had lower hazard of progression events (HR = 0.89, p = 0.01) and EDSS (β = -0.06, p < 0.001). Neither presentation was associated with changes in relapse risk. CONCLUSION Early cerebellar presentation is associated with unfavourable outcomes, while early brainstem presentation is associated with favourable prognosis. These presentations may be used as MS prognostic markers and guide therapeutic approach.
Collapse
Affiliation(s)
- Minh Le
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Charles Malpas
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | | | - Sara Eichau
- Hospital Universitario Virgen Macarena, Sevilla, Spain
| | | | - Alessandra Lugaresi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOSI Riabilitazione Sclerosi Multipla, Bologna, Italy/Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Alexandre Prat
- Centre hospitalier de l'Universite de Montreal (CHUM), Montreal, QC, Canada
| | - Marc Girard
- Centre hospitalier de l'Universite de Montreal (CHUM), Montreal, QC, Canada
| | - Pierre Duquette
- Centre hospitalier de l'Universite de Montreal (CHUM), Montreal, QC, Canada
| | | | - Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq, Kuwait
| | | | - Patrizia Sola
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | - Diana Ferraro
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | | | | | - Murat Terzi
- Faculty of Medicine, 19 Mayis University, Samsun, Turkey
| | - Cavit Boz
- Farabi Hospital, KTU Faculty of Medicine, Trabzon, Turkey
| | | | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Eugenio Pucci
- UOC Neurologia, Azienda Sanitaria Unica Regionale Marche-AV3, Macerata, Italy
| | - Franco Granella
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | | | - Aysun Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | - Bassem I Yamout
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Jeannette Lechner-Scott
- School of Medicine and Public Health, The University of Newcastle Australia, Newcastle, NSW, Australia
| | - Daniele LA Spitaleri
- Azienda Ospedaliera di Rilievo Nazionale, San Giuseppe Moscati - Avellino, Avellino, Italy
| | | | - Recai Turkoglu
- Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey
| | | | | | | | - Youssef Sidhom
- Department of Neurology, Razi Hospital, Manouba, Tunisia
| | - Riadh Gouider
- Department of Neurology, Razi Hospital, Manouba, Tunisia
| | - Vahid Shaygannejad
- Isfahan University of Medical Sciences, Isfahan, Iran, Islamic Republic of
| | | | - Ayse Altintas
- School of Medicine, Koc University, Istanbul, Turkey
| | | | | | | | - Mark Slee
- Flinders University, Adelaide, SA, Australia
| | - Michael H Barnett
- Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
| | | | - Anneke Van Der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Tomas Kalincik
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| |
Collapse
|
209
|
Boffa G, Lapucci C, Sbragia E, Varaldo R, Raiola AM, Currò D, Roccatagliata L, Capello E, Laroni A, Mikulska M, Gualandi F, Uccelli A, Angelucci E, Mancardi GL, Inglese M. Aggressive multiple sclerosis: a single-centre, real-world treatment experience with autologous haematopoietic stem cell transplantation and alemtuzumab. Eur J Neurol 2020; 27:2047-2055. [PMID: 32418281 DOI: 10.1111/ene.14324] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 05/06/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND PURPOSE The best therapeutic approach for aggressive relapsing-remitting multiple sclerosis remains unknown. The objective was to compare the efficacy and safety of autologous haematopoietic stem cell transplantation (aHSCT) and alemtuzumab in aggressive relapsing-remitting multiple sclerosis. METHODS The time to first relapse, time to confirmed disability worsening, time to first evidence of magnetic resonance imaging (MRI) activity and time to first evidence of disease activity were compared between the two treatment groups. Secondary outcomes included the 12, 24 and 36 month annualized relapse rate (ARR) and the 6-month confirmed Expanded Disability Status Scale (EDSS) changes at months 12 and 24. RESULTS Fifty-seven patients treated with aHSCT (n = 25) or alemtuzumab (n = 32) were included. At baseline, aHSCT patients had a higher EDSS (median score 6 vs. 3; P < 0.001), higher ARR (mean ARR 3.2 vs. 1.7; P = 0.001) and a higher number of baseline T1 gadolinium-enhancing lesions on MRI (mean number 15.5 vs. 1.6; P < 0.001). NEDA-3 (no evidence of disease activity) status was more frequently achieved in aHSCT-treated patients than in alemtuzumab-treated patients [75% vs. 56% of patients at the end of the observation period; hazard ratio (HR) 0.27, 95% confidence interval (CI) 0.08-0.84; P = 0.023]. aHSCT significantly reduced the risk of relapse (relapse-free survival 84% vs. 69%; HR 0.13, 95% CI 0.02-0.63; P = 0.012) and MRI activity (MRI-activity-free survival 85% vs. 59%; HR 0.13, 95% CI 0.03-0.59; P = 0.009). The ARR at 36 months was significantly lower in the aHSCT group (0.05 vs. 0.35, P = 0.02). A significant effect of aHSCT in promoting EDSS improvement compared with alemtuzumab was noted (P = 0.035). CONCLUSIONS Alemtuzumab and aHSCT are effective treatment choices for aggressive multiple sclerosis. aHSCT seems to be superior to alemtuzumab in inducing complete disease control and in promoting short-term disability improvement.
Collapse
Affiliation(s)
- G Boffa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - C Lapucci
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - E Sbragia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - R Varaldo
- Hematology and Transplant Center, Ospedale Policlinico San Martino, IRCSS, Genoa, Italy
| | - A M Raiola
- Hematology and Transplant Center, Ospedale Policlinico San Martino, IRCSS, Genoa, Italy
| | - D Currò
- Department of Neurology, San Paolo Hospital, Savona, Italy
| | - L Roccatagliata
- Department of Neuroradiology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy.,Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - E Capello
- Department of Neurology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - A Laroni
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Department of Neurology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - M Mikulska
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Division of Infectious Diseases, Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - F Gualandi
- Hematology and Transplant Center, Ospedale Policlinico San Martino, IRCSS, Genoa, Italy
| | - A Uccelli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Department of Neurology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - E Angelucci
- Hematology and Transplant Center, Ospedale Policlinico San Martino, IRCSS, Genoa, Italy
| | - G L Mancardi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Scientific Clinical Institutes Maugeri IRCCS, Pavia - Genova Nervi, Italy
| | - M Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,Department of Neurology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| |
Collapse
|
210
|
Rojas JI, Patrucco L, Alonso R, Garcea O, Deri N, Carnero Contentti E, Lopez PA, Pettinicchi JP, Caride A, Cristiano E. Diagnostic uncertainty during the transition to secondary progressive multiple sclerosis: Multicenter study in Argentina. Mult Scler 2020; 27:579-584. [PMID: 32484381 DOI: 10.1177/1352458520924586] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND A period of diagnostic uncertainty often characterizes the clinical transition from relapsing to secondary progressive multiple sclerosis (SPMS). OBJECTIVE The aim of this study was to describe the length of time required to reclassify relapsing-remitting MS (RRMS) patients who have clinically transitioned to SPMS (diagnosis uncertainty). METHODS This is a retrospective multicenter cohort study conducted in Argentina, identifying in every center all patients with diagnosis of MS who transitioned from RRMS to SPMS during the follow-up. We identified the dates of the last definitive RRMS and first definitive SPMS diagnoses for diagnostic uncertainty. The time required to reclassify RRMS who transitioned to SPMS and the time from disease onset to reclassify SPMS were calculated using the Kaplan-Meier method. RESULTS A total of 170 patients were included, where the mean age at disease onset (first symptom) was 36 ± 6 years; the length of time required to reclassify RRMS patients who transitioned to SPMS was 3.3 ± 1.1 years (range = 1-7 years); and the time from disease onset to classify SPMS was 19.4 ± 8.5 years (range = 16-35 years). CONCLUSION A period of diagnostic uncertainty regarding the transition from RRMS to SPMS was present in many of our patients, with a mean time of 3.3 years.
Collapse
Affiliation(s)
- Juan Ignacio Rojas
- Centro de Esclerosis Múltiple de Buenos Aires, Buenos Aires, Argentina/Servicio de Neurología, Hospital Universitario CEMIC, Buenos Aires, Argentina
| | - Liliana Patrucco
- Centro de Esclerosis Múltiple de Buenos Aires, Buenos Aires, Argentina/Servicio de Neurología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Ricardo Alonso
- Centro Universitario de Esclerosis Múltiple, Hospital Ramos Mejía, Buenos Aires, Argentina/Servicio de Neurología, Hospital Universitario Sanatorio Guemes, Buenos Aires, Argentina
| | - Orlando Garcea
- Centro Universitario de Esclerosis Múltiple, Hospital Ramos Mejía, Buenos Aires, Argentina
| | - Norma Deri
- Centro de Investigaciones Diabaid, CABA, Buenos Aires, Argentina
| | | | - Pablo A Lopez
- Neuroimmunology Unit, Department of Neuroscience, Hospital Aleman, Buenos Aires, Argentina
| | - Juan Pablo Pettinicchi
- Neuroimmunology Unit, Department of Neuroscience, Hospital Aleman, Buenos Aires, Argentina
| | - Alejandro Caride
- Neuroimmunology Unit, Department of Neuroscience, Hospital Aleman, Buenos Aires, Argentina
| | - Edgardo Cristiano
- Centro de Esclerosis Múltiple de Buenos Aires, Buenos Aires, Argentina
| |
Collapse
|
211
|
von Wyl V, Benkert P, Moser A, Lorscheider J, Décard B, Hänni P, Lienert C, Kuhle J, Derfuss T, Kappos L, Yaldizli Ö. Disability progression in relapse-free multiple sclerosis patients on fingolimod versus interferon-beta/glatiramer acetate. Mult Scler 2020; 27:439-448. [PMID: 32463336 DOI: 10.1177/1352458520918489] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Disability progression independent of relapses (PIRA) has been described as a frequent phenomenon in relapsing-remitting multiple sclerosis (RRMS). OBJECTIVE To compare the occurrence of disability progression in relapse-free RRMS patients on interferon-beta/glatiramer acetate (IFN/GA) versus fingolimod. METHODS This study is based on data from the Swiss association for joint tasks of health insurers. Time to relapse and 12-month confirmed disability progression were compared between treatment groups using multivariable Cox regression analysis with confounder adjustment. Inverse-probability weighting was applied to correct for the bias that patients on fingolimod have a higher chance to remain relapse-free than patients on IFN/GA. RESULTS We included 1640 patients (64% IFN/GA, 36% fingolimod, median total follow-up time = 4-5 years). Disease-modifying treatment (DMT) groups were well balanced with regard to potential confounders. Disability progression was observed in 155 patients (8.8%) on IFN/GA and 51 (7.6%) on fingolimod, of which 44 and 23 were relapse-free during the initial DMT, respectively. Adjusted standard regression analysis on all patients indicated that those on fingolimod experience less frequently disability progression compared with IFN/GA (hazard ratio = 0.53 (95% confidence interval = 0.37-0.76)). After bias correction, this was also true for patients without relapses (hazard ratio=0.56 (95% confidence interval = 0.32-0.98). CONCLUSION Our analysis indicates that fingolimod is superior to IFN/GA in preventing disability progression in both relapsing and relapse-free, young, newly diagnosed RRMS patients.
Collapse
Affiliation(s)
- Viktor von Wyl
- Department of Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland/ Swiss Multiple Sclerosis Registry, Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, University Hospital Basel, Basel, Switzerland
| | - André Moser
- Department of Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland
| | - Johannes Lorscheider
- Neurologic Clinic and Policlinic, Departments of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Bernhard Décard
- Neurologic Clinic and Policlinic, Departments of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Peter Hänni
- Swiss Association for Joint Tasks of Health Insurers, Solothurn, Switzerland
| | - Carmen Lienert
- Department of Neurology, Rheinburg-Klinik, Walzenhausen, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tobias Derfuss
- Neurologic Clinic and Policlinic, Departments of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Özgür Yaldizli
- Neurologic Clinic and Policlinic, Departments of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| |
Collapse
|
212
|
Ayrignac X, Larochelle C, Keezer M, Roger E, Poirier J, Lahav B, Girard M, Prat A, Duquette P. Frailty in ageing persons with multiple sclerosis. Mult Scler 2020; 27:613-620. [DOI: 10.1177/1352458520923945] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Recent progress in multiple sclerosis (MS) management has contributed to a greater life expectancy in persons with MS. Ageing with MS comes with unique challenges and bears the potential to greatly affect quality of life and socioeconomic burden. Objectives: To compare frailty in ageing persons with multiple sclerosis (pwMS) and controls; to correlate frailty with MS clinical characteristics. Methods: PwMS and controls over 50 years old were recruited in a cross-sectional study. Two validated frailty measures were assessed: the frailty index and the Fried’s phenotype. Several multiple linear regressions accounting for demographic and clinical characteristics were performed. Results: Eighty pwMS (57 females, mean age 58.5 ± 6 years old) and 37 controls (24 females, mean age 61 ± 6.5 years old) were recruited. Multivariable analysis identified significantly higher frailty index in pwMS (0.21 ± 0.12 vs 0.11 ± 0.08, p < 0.0001). Similarly, according to Fried’s phenotype, a significantly higher percentage of pwMS were frail compared to controls (28% vs 8%). In pwMS, frailty index was independently associated with expanded disability status scale (EDSS), comorbidities, education level and disease duration. Conclusion: Our results suggest that frailty can be routinely assessed in pwMS. Increased frailty in MS patients suggests that, along with MS therapeutics, a tailored multidisciplinary approach of ageing pwMS is needed.
Collapse
Affiliation(s)
- Xavier Ayrignac
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada/Département de Neurologie, CRC sclérose en plaques, CHU Montpellier, INSERM, Université Montpellier, Montpellier, France
| | - Catherine Larochelle
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Mark Keezer
- Department of Neurosciences, Université de Montréal, Montreal, QC, Canada/Centre Hospitalier de l’Université de Montréal (CHUM), Montreal, QC, Canada/Department of Social and Preventative Medicine, Université de Montréal, Montreal, QC, Canada/Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Elaine Roger
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Josée Poirier
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Boaz Lahav
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Marc Girard
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Alexandre Prat
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Pierre Duquette
- Clinique de Sclérose en plaques du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada/Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| |
Collapse
|
213
|
Carotenuto A, Signoriello E, Lanzillo R, Vaia Y, Moccia M, Bonavita S, Lus G, Brescia Morra V. Unraveling diagnostic uncertainty in transition phase from relapsing-remitting to secondary progressive multiple sclerosis. Mult Scler Relat Disord 2020; 43:102211. [PMID: 32474285 DOI: 10.1016/j.msard.2020.102211] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 04/29/2020] [Accepted: 05/17/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Clinicians struggle to timely diagnose secondary-progressive multiple sclerosis (SP-MS), with a 'transition phase' period of diagnostic uncertainty. We aimed at defining clinical markers predicting evolution to SP-MS. METHODS We reviewed 210 newly diagnosed MS patients experiencing at least one confirmed disability worsening (CDW). CDWs were classified as disability worsening either due to incomplete recovery following relapse (r-CDW), or independent of relapse activity (nr-CDW). Logistic regression and Cox regression models were used to evaluate variables at CDW associated with SP-MS diagnosis. RESULTS On CDW, higher EDSS (OR: 2.73, p=0.002) and nr-CDW (OR: 2.63, p=0.03) were associated with conversion to SP-MS over the follow-up. In addition, the risk of SP-MS was higher in patients with EDSS>3.0 at CDW (HR: 2.26, p<0.001), and with time to second CDW <24 months (HR: 0.98, p<0.001), compared with patients that experienced a CDW but did not receive SP-MS diagnosis (AUC: 0.95, Sensitivity: 0.83, Specificity: 0.96). CONCLUSION At their first CDW, patients with higher EDSS, experiencing CDW without relapse and developing a further CDW within 2 years are at higher risk of SP-MS conversion. This provides proxies for conversion to SP-MS since first episode of CDW.
Collapse
Affiliation(s)
- Antonio Carotenuto
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
| | - Elisabetta Signoriello
- Second Division of Neurology, Multiple Sclerosis Center, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Roberta Lanzillo
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - Ylenia Vaia
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - Marcello Moccia
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - Simona Bonavita
- Second Division of Neurology, Multiple Sclerosis Center, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Giacomo Lus
- Second Division of Neurology, Multiple Sclerosis Center, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Vincenzo Brescia Morra
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| |
Collapse
|
214
|
Biernacki T, Sandi D, Fricska-Nagy Z, Kincses ZT, Füvesi J, Laczkó R, Kokas Z, Klivényi P, Vécsei L, Bencsik K. Epidemiology of multiple sclerosis in Central Europe, update from Hungary. Brain Behav 2020; 10:e01598. [PMID: 32196981 PMCID: PMC7218241 DOI: 10.1002/brb3.1598] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 02/25/2020] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES Not so long ago, a novel phenotypic classification of multiple sclerosis (MS) and revisions to the McDonald diagnostic criteria were published. Good quality, standardized, and therefore comparable epidemiological data from the Central European region altogether are scarce, and data based on the aforementioned criteria are nonexistent; thus, an update is needed. MATERIALS AND METHODS Patients residing in Csongrád county with a definitive diagnosis of MS according to the 2017 McDonald criteria were included and evaluated by the 2014 revised phenotypic classification. RESULTS A total of 420 patients were included, of whom 313 were females (female/male ratio 2.925:1). Standardized prevalence was 101.8/100,000, and incidence was 4.44/100,000. Relapsing-remitting disease type was identified in 288 (68.57%) cases, of which 230 patients (79.86%) were treated and of which 202 patients (87.8%) showed no disease activity with their current treatment. Progressive disease type was seen in 132 (31.43%) cases, with 72 patients (54.54%) receiving treatment. More than half of the treated patients (178, 57%) were administered platform therapies, while 134 (43%) received highly active disease modifying therapies. CONCLUSION The prevalence of MS in Hungary similarly to other countries shows a constant increase in the past decades. The majority of our patients received treatment and had a stable disease while being treated. The distribution of disease courses, phenotypes, and treatment status fell in line with data in the literature based on MS registries with a large number of participants. Ours is the first study to give epidemiological data based on the most recent McDonald criteria and phenotypic classification from the Central European region.
Collapse
Affiliation(s)
- Tamás Biernacki
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Dániel Sandi
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Rózsa Laczkó
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Zsófia Kokas
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - László Vécsei
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.,MTA - SZTE Neuroscience Research Group, Szeged, Hungary
| | - Krisztina Bencsik
- Department of Neurology, Faculty of General Medicine, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| |
Collapse
|
215
|
Calocer F, Dejardin O, Kwiatkowski A, Bourre B, Vermersch P, Hautecoeur P, Launoy G, Defer G. Socioeconomic deprivation increases the risk of disability in multiple sclerosis patients. Mult Scler Relat Disord 2020; 40:101930. [DOI: 10.1016/j.msard.2020.101930] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 11/25/2019] [Accepted: 01/02/2020] [Indexed: 11/16/2022]
|
216
|
Clinical outcome measures in multiple sclerosis: A review. Autoimmun Rev 2020; 19:102512. [DOI: 10.1016/j.autrev.2020.102512] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Accepted: 12/12/2019] [Indexed: 02/06/2023]
|
217
|
|
218
|
Tolley C, Piani-Meier D, Bentley S, Bennett B, Jones E, Pike J, Dahlke F, Tomic D, Ziemssen T. A Novel, Integrative Approach for Evaluating Progression in Multiple Sclerosis: Development of a Scoring Algorithm. JMIR Med Inform 2020; 8:e17592. [PMID: 32286236 PMCID: PMC7189255 DOI: 10.2196/17592] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 02/14/2020] [Accepted: 02/22/2020] [Indexed: 01/08/2023] Open
Abstract
Background There is an unmet need for a tool that helps to evaluate patients who are at risk of progressing from relapsing-remitting multiple sclerosis to secondary progressive multiple sclerosis (SPMS). A new tool supporting the evaluation of early signs suggestive of progression in multiple sclerosis (MS) has been developed. In the initial stage, concepts relevant to progression were identified using a mixed method approach involving regression on data from a real-world observational study and qualitative research with patients and physicians. The tool was drafted in a questionnaire format to assess these variables. Objective This study aimed to develop the scoring algorithm for the tool, using both quantitative and qualitative research methods. Methods The draft scoring algorithm was developed using two approaches: quantitative analysis of real-world data and qualitative analysis based on physician interviews and ranking and weighting exercises. Variables that were included in the draft tool and regarded as most clinically relevant were selected for inclusion in a multiple logistic regression. The analyses were run using physician-reported data and patient-reported data. Subsequently, a ranking and weighting exercise was conducted with 8 experienced neurologists as part of semistructured interviews. Physicians were presented with the variables included in the draft tool and were asked to rank them in order of strength of contribution to progression and assign a weight by providing a percentage of the overall contribution. Physicians were also asked to explain their ranking and weighting choices. Concordance between physicians was explored. Results Multiple logistic regression identified age, MS disease activity, and Expanded Disability Status Scale score as the most significant physician-reported predictors of progression to SPMS. Patient age, mobility, and self-care were identified as the strongest patient-reported predictors of progression to SPMS. In physician interviews, the variables ranked and weighted as most important were stability or worsening of symptoms, intermittent or persistent symptoms, and presence of ambulatory and cognitive symptoms. Across all physicians, the level of concordance was 0.278 (P<.001), indicating a low to moderate, but statistically significant, level of agreement. Variables were categorized as high (n=8), moderate (n=8), or low (n=10) importance based on the findings from the different approaches described above. Accordingly, the respective questions in the tool were assigned a weight of “three,” “two,” or “one” to inform the draft scoring algorithm. Conclusions This study further confirms the need for a tool to provide a consistent, comprehensive approach across physicians to support the early evaluation of signs indicative of progression to SPMS. The novel and comprehensive approach to develop the draft scoring algorithm triangulates data obtained from ranking and weighting exercises, qualitative interviews, and a real-world observational study. Variables that go beyond the clinically most obvious impairment in lower limbs have been identified as relevant subtle/sensitive signs suggestive of progressive disease.
Collapse
Affiliation(s)
- Chloe Tolley
- Adelphi Values Ltd, Macclesfield, United Kingdom
| | | | | | | | - Eddie Jones
- Adelphi Real World Ltd, Macclesfield, United Kingdom
| | - James Pike
- Adelphi Real World Ltd, Macclesfield, United Kingdom
| | | | | | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Neurological University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany
| |
Collapse
|
219
|
Do disease-modifying drugs (DMD) have a positive impact on the occurrence of secondary progressive multiple sclerosis? Comment. Rev Neurol (Paris) 2020; 176:500-504. [PMID: 32278541 DOI: 10.1016/j.neurol.2020.03.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Very recent data from cohorts, such as that of the French Observatory of Multiple Sclerosis (OFSEP) and the MSBase cohort, are the subject of new statistical analyses using propensity scores that enable the matching of relapses frequency, EDSS, age, and sex ratio in patient populations for comparisons with each other, which reduces selection biases. The first data from these cohorts revealed a decline in transition to secondary progressive MS with the most effective disease-modifying drugs currently available, especially when these drugs were used early in the disease. However, these studies remain limited regarding the number of patients, the duration of follow-up, the use of imperfect methodologies, and the level of evidence remains low. The Gothenburg cohort in Sweden, which has been followed since the 1950s, found that 14% of benign non-progressive multiple sclerosis (MS) never evolved to secondary progression after more than 45 years of evolution. EDSS 7 was reached after 48 years of disease (median), and 50% evolved to secondary progressive MS after 15 years (consistent with data from the historic London, Ontario cohort). These data demonstrate that most people living with MS evolve without treatment to a significant long-term disability and that this evolution is closely linked to secondary progression (more than the relapse frequency). Benign forms appear as MS that never passes into secondary progressive MS. Recent data demonstrate that the delay until transition to secondary progression (more than 30 years in the MSBase cohort) and the delay in reaching EDSS 6 decreased since the introduction of disease-modifying drugs 20 years ago. However, randomized placebo-controlled trials do not last more than 2 or 3 years, and many biases may be involved in long-term follow-up studies: worsening patients who are lost to follow-up ("informative censoring" bias: only good responders to treatment remain primarily under the same long-term treatment and are followed); changes in the populations in the most recent studies with a lower rate of relapse and lower progression of disability at the beginning of the disease prior to initiating treatments; and environmental changes that remain largely misunderstood and may contribute to a natural evolution towards less severe disease.
Collapse
|
220
|
Seccia R, Gammelli D, Dominici F, Romano S, Landi AC, Salvetti M, Tacchella A, Zaccaria A, Crisanti A, Grassi F, Palagi L. Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis. PLoS One 2020; 15:e0230219. [PMID: 32196512 PMCID: PMC7083323 DOI: 10.1371/journal.pone.0230219] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 02/24/2020] [Indexed: 12/27/2022] Open
Abstract
Multiple Sclerosis (MS) progresses at an unpredictable rate, but predictions on the disease course in each patient would be extremely useful to tailor therapy to the individual needs. We explore different machine learning (ML) approaches to predict whether a patient will shift from the initial Relapsing-Remitting (RR) to the Secondary Progressive (SP) form of the disease, using only "real world" data available in clinical routine. The clinical records of 1624 outpatients (207 in the SP phase) attending the MS service of Sant'Andrea hospital, Rome, Italy, were used. Predictions at 180, 360 or 720 days from the last visit were obtained considering either the data of the last available visit (Visit-Oriented setting), comparing four classical ML methods (Random Forest, Support Vector Machine, K-Nearest Neighbours and AdaBoost) or the whole clinical history of each patient (History-Oriented setting), using a Recurrent Neural Network model, specifically designed for historical data. Missing values were handled by removing either all clinical records presenting at least one missing parameter (Feature-saving approach) or the 3 clinical parameters which contained missing values (Record-saving approach). The performances of the classifiers were rated using common indicators, such as Recall (or Sensitivity) and Precision (or Positive predictive value). In the visit-oriented setting, the Record-saving approach yielded Recall values from 70% to 100%, but low Precision (5% to 10%), which however increased to 50% when considering only predictions for which the model returned a probability above a given "confidence threshold". For the History-oriented setting, both indicators increased as prediction time lengthened, reaching values of 67% (Recall) and 42% (Precision) at 720 days. We show how "real world" data can be effectively used to forecast the evolution of MS, leading to high Recall values and propose innovative approaches to improve Precision towards clinically useful values.
Collapse
Affiliation(s)
- Ruggiero Seccia
- Dept. of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
| | - Daniele Gammelli
- Dept. of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
| | - Fabio Dominici
- Dept. of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
| | - Silvia Romano
- Dept. of Neurosciences, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy
| | - Anna Chiara Landi
- Dept. of Neurosciences, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy
| | - Marco Salvetti
- Dept. of Neurosciences, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy
- IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy
| | - Andrea Tacchella
- Dept. of Physics, Istituto dei Sistemi Complessi (ISC)-CNR, UOS Sapienza, Rome, Italy
| | - Andrea Zaccaria
- Dept. of Physics, Istituto dei Sistemi Complessi (ISC)-CNR, UOS Sapienza, Rome, Italy
| | | | - Francesca Grassi
- Dept. of Physiology and Pharmacology, Sapienza University of Rome, Rome, Italy
| | - Laura Palagi
- Dept. of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
| |
Collapse
|
221
|
Scott TF, Bertha N. The impact of multiple sclerosis relapses on worsening over the long term; insights in the treatment era. J Neurol Sci 2020; 413:116773. [PMID: 32193023 DOI: 10.1016/j.jns.2020.116773] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 02/24/2020] [Accepted: 03/10/2020] [Indexed: 12/13/2022]
Abstract
Relapses of multiple sclerosis (MS) are the clinical manifestations of inflammatory events involving eloquent anatomical structures within the central nervous system. Relapses are associated with worsening disability of MS patients in both early and later disease, even after progressive features are seen. The impact of relapses on the long-term course of the disease is now being realized as a generation of treated patients is now elderly. New MRI brain lesions can be viewed as a radiologic manifestation of acute inflammation and are associated with similar prognostic value. The complex relationship between clinical relapse activity and later slow progressive worsening remains incompletely understood, however, there is increasing biological plausibility for a causative association between relapse activity and lifelong disability.
Collapse
Affiliation(s)
- Thomas F Scott
- Department of Neurology and Neuroscience Institute, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, PA, United States of America; Department of Neurology, Drexel University College of Medicine, Philadelphia, PA, United States of America.
| | - Nicholas Bertha
- Pennsylvania State College of Medicine, Hershey, PA, United States of America
| |
Collapse
|
222
|
Kunkl M, Frascolla S, Amormino C, Volpe E, Tuosto L. T Helper Cells: The Modulators of Inflammation in Multiple Sclerosis. Cells 2020; 9:cells9020482. [PMID: 32093011 PMCID: PMC7072830 DOI: 10.3390/cells9020482] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/17/2020] [Accepted: 02/18/2020] [Indexed: 02/06/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic neurodegenerative disease characterized by the progressive loss of axonal myelin in several areas of the central nervous system (CNS) that is responsible for clinical symptoms such as muscle spasms, optic neuritis, and paralysis. The progress made in more than one decade of research in animal models of MS for clarifying the pathophysiology of MS disease validated the concept that MS is an autoimmune inflammatory disorder caused by the recruitment in the CNS of self-reactive lymphocytes, mainly CD4+ T cells. Indeed, high levels of T helper (Th) cells and related cytokines and chemokines have been found in CNS lesions and in cerebrospinal fluid (CSF) of MS patients, thus contributing to the breakdown of the blood-brain barrier (BBB), the activation of resident astrocytes and microglia, and finally the outcome of neuroinflammation. To date, several types of Th cells have been discovered and designated according to the secreted lineage-defining cytokines. Interestingly, Th1, Th17, Th1-like Th17, Th9, and Th22 have been associated with MS. In this review, we discuss the role and interplay of different Th cell subpopulations and their lineage-defining cytokines in modulating the inflammatory responses in MS and the approved as well as the novel therapeutic approaches targeting T lymphocytes in the treatment of the disease.
Collapse
Affiliation(s)
- Martina Kunkl
- Department of Biology and Biotechnology Charles Darwin, Sapienza University, 00185 Rome, Italy
- Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Sapienza University, 00185 Rome, Italy
| | - Simone Frascolla
- Department of Biology and Biotechnology Charles Darwin, Sapienza University, 00185 Rome, Italy
- Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Sapienza University, 00185 Rome, Italy
| | - Carola Amormino
- Department of Biology and Biotechnology Charles Darwin, Sapienza University, 00185 Rome, Italy
- Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Sapienza University, 00185 Rome, Italy
| | - Elisabetta Volpe
- Neuroimmunology Unit, IRCCS Santa Lucia Foundation, 00143 Rome, Italy
| | - Loretta Tuosto
- Department of Biology and Biotechnology Charles Darwin, Sapienza University, 00185 Rome, Italy
- Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Sapienza University, 00185 Rome, Italy
| |
Collapse
|
223
|
Ziemssen T, Piani-Meier D, Bennett B, Johnson C, Tinsley K, Trigg A, Hach T, Dahlke F, Tomic D, Tolley C, Freedman MS. A Physician-Completed Digital Tool for Evaluating Disease Progression (Multiple Sclerosis Progression Discussion Tool): Validation Study. J Med Internet Res 2020; 22:e16932. [PMID: 32049062 PMCID: PMC7055760 DOI: 10.2196/16932] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 12/19/2019] [Accepted: 12/19/2019] [Indexed: 12/28/2022] Open
Abstract
Background Defining the transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive multiple sclerosis (SPMS) can be challenging and delayed. A digital tool (MSProDiscuss) was developed to facilitate physician-patient discussion in evaluating early, subtle signs of multiple sclerosis (MS) disease progression representing this transition. Objective This study aimed to determine cut-off values and corresponding sensitivity and specificity for predefined scoring algorithms, with or without including Expanded Disability Status Scale (EDSS) scores, to differentiate between RRMS and SPMS patients and to evaluate psychometric properties. Methods Experienced neurologists completed the tool for patients with confirmed RRMS or SPMS and those suspected to be transitioning to SPMS. In addition to age and EDSS score, each patient’s current disease status (disease activity, symptoms, and its impacts on daily life) was collected while completing the draft tool. Receiver operating characteristic (ROC) curves determined optimal cut-off values (sensitivity and specificity) for the classification of RRMS and SPMS. Results Twenty neurologists completed the draft tool for 198 patients. Mean scores for patients with RRMS (n=89), transitioning to SPMS (n=47), and SPMS (n=62) were 38.1 (SD 12.5), 55.2 (SD 11.1), and 69.6 (SD 12.0), respectively (P<.001, each between-groups comparison). Area under the ROC curve (AUC) including and excluding EDSS were for RRMS (including) AUC 0.91, 95% CI 0.87-0.95, RRMS (excluding) AUC 0.88, 95% CI 0.84-0.93, SPMS (including) AUC 0.91, 95% CI 0.86-0.95, and SPMS (excluding) AUC 0.86, 95% CI 0.81-0.91. In the algorithm with EDSS, the optimal cut-off values were ≤51.6 for RRMS patients (sensitivity=0.83; specificity=0.82) and ≥58.9 for SPMS patients (sensitivity=0.82; specificity=0.84). The optimal cut-offs without EDSS were ≤46.3 and ≥57.8 and resulted in similar high sensitivity and specificity (0.76-0.86). The draft tool showed excellent interrater reliability (intraclass correlation coefficient=.95). Conclusions The MSProDiscuss tool differentiated RRMS patients from SPMS patients with high sensitivity and specificity. In clinical practice, it may be a useful tool to evaluate early, subtle signs of MS disease progression indicating the evolution of RRMS to SPMS. MSProDiscuss will help assess the current level of progression in an individual patient and facilitate a more informed physician-patient discussion.
Collapse
Affiliation(s)
- Tjalf Ziemssen
- Center of Clinical Neuroscience, Neurological University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany
| | | | | | | | | | | | | | | | | | | | - Mark S Freedman
- Ottawa Health Research Institute, University of Ottawa, Ottawa, ON, Canada
| |
Collapse
|
224
|
Kalra S, Lowndes C, Durant L, Strange RC, Al-Araji A, Hawkins CP, Curnow SJ. Th17 cells increase in RRMS as well as in SPMS, whereas various other phenotypes of Th17 increase in RRMS only. Mult Scler J Exp Transl Clin 2020; 6:2055217319899695. [PMID: 32064115 PMCID: PMC6990617 DOI: 10.1177/2055217319899695] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 11/29/2019] [Accepted: 12/01/2019] [Indexed: 11/17/2022] Open
Abstract
Background The nature and extent of inflammation seen in multiple sclerosis (MS) varies throughout the course of the disease. Changes seen in CD4+ T-helper cells in relapsing–remitting (RR) MS and secondary progressive (SP) MS might differ qualitatively and/or quantitatively. Objective The objective of this paper is to study the frequencies of all major CD4+ T-helper subtypes – Th17, Th22 and Th1 lineage cells – in relapse, remission and secondary progression alongside CCR6 status, a chemokine receptor involved in migration of these cells into the central nervous system. Methods We compared 100 patients (50 RRMS and 50 SPMS) and 50 healthy volunteers and performed flow cytometric analysis of lymphocytes in blood samples. Results We demonstrated raised frequencies of various cell types along the Th17 axis; Th17, Th17.1 (IL-17+ interferon gamma+) and dual IL-17+ IL-22+ cells in RRMS. Th22 and CCR6+ Th1 cells (nonclassical Th1) were also increased in RRMS. All these cells were CCR6+. Only Th17 frequencies were elevated in SPMS. Conclusions Increased frequencies of Th17 cells are implicated both in RRMS and SPMS. The CCR6 pathway includes Th17, Th22 and Th1 nonclassical cells, of which Th22 and Th1 cells represent the greatest subsets in MS.
Collapse
Affiliation(s)
- S Kalra
- Royal Stoke MS Centre of Excellence, Neurology Department, University Hospital North Midlands NHS Trust, UK
| | - C Lowndes
- Royal Stoke MS Centre of Excellence, Neurology Department, University Hospital North Midlands NHS Trust, UK
| | - L Durant
- Centre for Translational Inflammation Research, Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, UK
| | - R C Strange
- Institute for Science and Technology in Medicine, Keele University Medical School, UK
| | - A Al-Araji
- Royal Stoke MS Centre of Excellence, Neurology Department, University Hospital North Midlands NHS Trust, UK
| | - Clive P Hawkins
- Royal Stoke MS Centre of Excellence, Neurology Department, University Hospital North Midlands NHS Trust, UK
| | - S John Curnow
- Centre for Translational Inflammation Research, Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, UK
| |
Collapse
|
225
|
|
226
|
Bsteh G, Hegen H, Dosser C, Auer M, Berek K, Wurth S, Zinganell A, Di Pauli F, Deisenhammer F, Berger T. To treat or not to treat: Sequential individualized treatment evaluation in relapsing multiple sclerosis. Mult Scler Relat Disord 2019; 39:101908. [PMID: 31896060 DOI: 10.1016/j.msard.2019.101908] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 11/28/2019] [Accepted: 12/23/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND The frequency and long-term prognosis of relapsing multiple sclerosis (RMS) never receiving disease-modifying treatment (DMT) is unclear. METHODS We included 1186 RMS patients with a mean of 17.4 years follow-up and divided them into patients treated with any DMT (DMT) and patients untreated by shared (USD) or patient-autonomous decision (UAD). RESULTS The USD group displayed features, which significantly differed from the two other groups: higher age at onset, mainly sensory onset symptoms, complete remission of onset symptoms, less T2 and contrast-enhancing T1 lesions on initial brain MRI. In a multivariate cox regression, USD was associated with lower risk for secondary progression (SPMS) conversion (hazard ratio [HR] 0.76, 95% confidence interval [CI] 0.55-0.97, p = 0.011) compared to DMT, while UAD was associated with an increased SPMS conversion risk only in the "McDonald era" (HR 1.19, CI 1.02-1.58, p = 0.028). CONCLUSION Apart from the doubtless substantial improvement of the overall prognosis of RMS by DMT, it seems likely that not every patient necessarily needs immediate or even "hard and early" treatment. A "watchful waiting" approach with continuous clinical evaluation might be instead a viable option in RMS patients with favorable prognostic features at onset.
Collapse
Affiliation(s)
- Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Austria; Department of Neurology, Medical University of Innsbruck, Austria.
| | - Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Carolin Dosser
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Michael Auer
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Klaus Berek
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Sebastian Wurth
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Anne Zinganell
- Department of Neurology, Medical University of Innsbruck, Austria
| | | | | | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Austria
| |
Collapse
|
227
|
Ness NH, Schriefer D, Haase R, Ettle B, Cornelissen C, Ziemssen T. Differentiating societal costs of disability worsening in multiple sclerosis. J Neurol 2019; 267:1035-1042. [DOI: 10.1007/s00415-019-09676-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 12/11/2019] [Accepted: 12/12/2019] [Indexed: 12/15/2022]
|
228
|
Oh J, Alikhani K, Bruno T, Devonshire V, Giacomini PS, Giuliani F, Nakhaipour HR, Schecter R, Larochelle C. Diagnosis and management of secondary-progressive multiple sclerosis: time for change. Neurodegener Dis Manag 2019; 9:301-317. [PMID: 31769344 DOI: 10.2217/nmt-2019-0024] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Identifying the transition of relapsing-remitting multiple sclerosis (MS) to the secondary-progressive MS form remains a clinical challenge due to the gradual nature of the transition, superimposed relapses, the heterogeneous course of disease among patients and the absence of validated biomarkers and diagnostic tools. The uncertainty associated with the transition makes clinical care challenging for both patients and physicians. The emergence of new disease-modifying treatments for progressive MS and the increasing emphasis of nonpharmacological strategies mark a new era in the treatment of progressive MS. This article summarizes challenges in diagnosis and management, discusses novel treatment strategies and highlights the importance of establishing a clear diagnosis and instituting an interdisciplinary management plan in the care of patients with progressive MS.
Collapse
Affiliation(s)
- Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, ON M5B 1W8, Canada
| | - Katayoun Alikhani
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Tania Bruno
- Division of Physiatry, Department of Medicine, University Health Network - Toronto Rehabilitation Institute, University of Toronto, Toronto, ON M4G 1R7, Canada
| | - Virginia Devonshire
- Division of Neurology, Department of Medicine, University of British Columbia MS/NMO Center, Vancouver, BC V6T 1Z3, Canada
| | - Paul S Giacomini
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Fabrizio Giuliani
- Division of Neurology, Neuroscience & Mental Health Institute, University of Alberta, Edmonton, AB T6G 2B7, Canada
| | | | - Robyn Schecter
- Novartis Pharmaceuticals Canada, Montreal, QC H9S 1A9, Canada
| | | |
Collapse
|
229
|
Ziemssen T, Tolley C, Bennett B, Kilgariff S, Jones E, Pike J, Tomic D, Piani-Meier D, Lahoz R. A mixed methods approach towards understanding key disease characteristics associated with the progression from RRMS to SPMS: Physicians' and patients' views. Mult Scler Relat Disord 2019; 38:101861. [PMID: 31865132 DOI: 10.1016/j.msard.2019.101861] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 10/16/2019] [Accepted: 11/16/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVES The transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive multiple sclerosis (SPMS) evolves over time and it can be challenging for physicians to identify progression early. Typically, SPMS is diagnosed retrospectively with a significant delay, based on a history of gradual worsening, independent of relapses, following an initial relapsing-remitting disease course. As such, SPMS is often associated with a considerable period of diagnostic uncertainty. This study aimed to explore and characterize key symptoms and impacts associated with transitioning from RRMS to SPMS and inform the content for a tool to support evaluation of early subtle signs suggestive of progressive disease. METHODS The qualitative study involved 60-min, face-to-face, concept elicitation (CE) interviews with 32 patients with MS (US = 16 and Germany = 16); and 30-min, telephone, CE interviews with 16 neurologists (US = 8 and Germany = 8). Multivariate analysis on data from a real-world observational study of 3294 MS patients assessed the differences between early-RRMS and early-SPMS, and identified factors that were significant drivers of this difference. These studies informed selection of the key variables to be included in a pilot tool. Sixteen physicians used the pilot tool, presented as a paper questionnaire, with a sample of patients whom they suspected were progressing to SPMS (n ≥ 5). Following this, the physicians participated in a 30-min cognitive debriefing (CD) interview to evaluate the relevance and usefulness of the tool. Qualitative analysis of all anonymized, verbatim transcripts was performed using thematic analysis. RESULTS Patients and physicians reported signs that indicated progression to SPMS including gradual worsening of symptoms, lack of clear recovery, increased severity and presence of new symptoms. No specific symptoms definitively indicated progression to SPMS, however a number of potential symptoms associated with progression were identified by SPMS patients and physicians, including worsening ambulation, cognition, balance, muscle weakness, visual symptoms, bladder symptoms and fatigue. Quality of life domains reported to be more severely impacted in SPMS than MS in general included: physical activity, work, daily activities, emotional and social functioning. Multivariate analysis of the observational study data identified several variables strongly associated with progression to SPMS including, requirement of assistance in daily living, presence of motor symptoms, presence of ataxia/coordination symptoms, and unemployment. Physicians reported that items included in the tool were easy to understand and relevant. Physicians also reported that there is an unmet need for a tool to help identify signs of SPMS progression and so the tool would be useful in clinical practice. CONCLUSIONS This was the first stage of development of a novel, validated, physician-completed tool to support physician-patient interactions in evaluating signs indicative of disease progression to SPMS. Qualitative and quantitative methods (involving physician and patients) were used to determine tool content. The usefulness and unmet need for such a tool in clinical practice was confirmed via CD interviews with physicians. Further work is now warranted to develop a scoring algorithm and validate the tool so that it can be reliably implemented in clinical practice.
Collapse
Affiliation(s)
- Tjalf Ziemssen
- Center of Clinical Neuroscience, MS Center, University Clinic Carl Gustav Carus, TU Dresden, Germany.
| | - Chloe Tolley
- Adelphi Values Ltd, Bollington, Cheshire, United Kingdom
| | - Bryan Bennett
- Adelphi Values Ltd, Bollington, Cheshire, United Kingdom
| | | | - Eddie Jones
- Adelphi Real World, Bollington, Cheshire, United Kingdom
| | - James Pike
- Adelphi Real World, Bollington, Cheshire, United Kingdom
| | | | | | | |
Collapse
|
230
|
Law MT, Traboulsee AL, Li DK, Carruthers RL, Freedman MS, Kolind SH, Tam R. Machine learning in secondary progressive multiple sclerosis: an improved predictive model for short-term disability progression. Mult Scler J Exp Transl Clin 2019; 5:2055217319885983. [PMID: 31723436 PMCID: PMC6836306 DOI: 10.1177/2055217319885983] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 08/23/2019] [Accepted: 10/09/2019] [Indexed: 11/15/2022] Open
Abstract
Background Enhanced prediction of progression in secondary progressive multiple sclerosis (SPMS) could improve clinical trial design. Machine learning (ML) algorithms are methods for training predictive models with minimal human intervention. Objective To evaluate individual and ensemble model performance built using decision tree (DT)-based algorithms compared to logistic regression (LR) and support vector machines (SVMs) for predicting SPMS disability progression. Methods SPMS participants (n = 485) enrolled in a 2-year placebo-controlled (negative) trial assessing the efficacy of MBP8298 were classified as progressors if a 6-month sustained increase in Expanded Disability Status Scale (EDSS) (≥1.0 or ≥0.5 for a baseline of ≤5.5 or ≥6.0 respectively) was observed. Variables included EDSS, Multiple Sclerosis Functional Composite component scores, T2 lesion volume, brain parenchymal fraction, disease duration, age, and sex. Area under the receiver operating characteristic curve (AUC) was the primary outcome for model evaluation. Results Three DT-based models had greater AUCs (61.8%, 60.7%, and 60.2%) than independent and ensemble SVM (52.4% and 51.0%) and LR (49.5% and 51.1%). Conclusion SPMS disability progression was best predicted by non-parametric ML. If confirmed, ML could select those with highest progression risk for inclusion in SPMS trial cohorts and reduce the number of low-risk individuals exposed to experimental therapies.
Collapse
Affiliation(s)
- Marco Tk Law
- School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada
| | - Anthony L Traboulsee
- Department of Neurology, The University of British Columbia, Vancouver, BC, Canada
| | - David Kb Li
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada
| | - Robert L Carruthers
- Department of Neurology, The University of British Columbia, Vancouver, BC, Canada
| | - Mark S Freedman
- Department of Medicine, University of Ottawa and The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Shanon H Kolind
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
231
|
Genovese AV, Hagemeier J, Bergsland N, Jakimovski D, Dwyer MG, Ramasamy DP, Lizarraga AA, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Atrophied Brain T2 Lesion Volume at MRI Is Associated with Disability Progression and Conversion to Secondary Progressive Multiple Sclerosis. Radiology 2019; 293:424-433. [PMID: 31549947 PMCID: PMC6823621 DOI: 10.1148/radiol.2019190306] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 07/06/2019] [Accepted: 08/09/2019] [Indexed: 12/13/2022]
Abstract
Background Atrophied T2 lesion volume at MRI is an imaging measure that reflects the replacement of T2 lesions by cerebrospinal fluid spaces in patients with multiple sclerosis (MS). Purpose To investigate the association of atrophied T2 lesion volume and development of disability progression (DP) and conversion to secondary progressive MS (SPMS). Materials and Methods This retrospective study included 1612 participants recruited from 2006 to 2016 and followed up for 5 years with clinical and MRI examinations. Accumulation of T2 lesion volume, atrophied T2 lesion volume, percentage brain volume change (PBVC), and percentage ventricular volume change (PVVC) were measured. Disability progression and secondary progressive conversion were defined by using standardized guidelines. Analysis of covariance (ANCOVA) adjusted for age and Cox regression adjusted for age and sex were used to compare study groups and explore associations between MRI and clinical outcomes. Results A total of 1314 patients with MS (1006 women; mean age, 46 years ± 11 [standard deviation]) and 124 patients with clinically isolated syndrome (100 women; mean age, 39 years ± 11) along with 147 healthy control subjects (97 women; mean age, 42 years ± 13) were evaluated. A total of 336 of 1314 (23%) patients developed DP, and in 67 of 1213 (5.5%) the disease converted from clinically isolated syndrome (CIS) or relapsing-remitting MS (RRMS) to SPMS. Patients with conversion to DP had higher atrophied T2 lesion volume (+34.4 mm3; 95% confidence interval [CI]: 17.2 mm3, 51.5 mm3; d = 0.27; P < .001) and PBVC (-0.21%; 95% CI: -0.36%, -0.05%; d = 0.19; P = .042) but not PVVC (0.36%; 95% CI: -0.93%, 1.65%; d = 0.04; P = .89) or T2 lesion volume change (-64.5 mm3; 95% CI: -315.2 mm3, 186.3 mm3; d = 0.03; P = .67) when compared with DP nonconverters. ANCOVA showed that atrophied T2 lesion volume was associated with conversion from CIS or RRMS to SPMS (+26.4 mm3; 95% CI: 4.2 mm3, 56.9 mm3; d = 0.23; P = .002) but not PBVC (-0.14%; 95% CI: -0.46%, 0.18%; d = 0.11; P = .66), PVVC (+0.18%; 95% CI: -2.49%, 2.72%; d = 0.01; P = .75), or T2 lesion volume change (-46.4 mm3; 95% CI: -460.8 mm3, 367.9 mm3; d = 0.03; P = .93). At Cox regression analysis, only atrophied T2 lesion volume was associated with the DP (hazard ratio, 1.23; P < .001) and conversion to SPMS (hazard ratio, 1.16; P = .008). Conclusion Atrophied brain T2 lesion volume is a robust MRI marker of MS disability progression and conversion into a secondary progressive disease course. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Chiang in this issue.
Collapse
Affiliation(s)
- Antonia Valentina Genovese
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Jesper Hagemeier
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Niels Bergsland
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Dejan Jakimovski
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Michael G. Dwyer
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Deepa P. Ramasamy
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Alexis A. Lizarraga
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - David Hojnacki
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Channa Kolb
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Bianca Weinstock-Guttman
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| | - Robert Zivadinov
- From the Buffalo Neuroimaging Analysis Center (A.V.G., J.H., N.B.,
D.J., M.G.D., D.P.R., R.Z.) and Jacobs MS Center (A.A.L., D.H., C.K.),
Department of Neurology, Jacobs School of Medicine and Biomedical Sciences,
University at Buffalo, State University of New York, 100 High St, Buffalo, NY
14203; Institute of Radiology, Department of Clinical Surgical Diagnostic and
Pediatric Sciences, University of Pavia, Pavia, Italy (A.V.G.); and Center for
Biomedical Imaging at Clinical Translational Science Institute (M.G.D., B.W.,
R.Z.), University at Buffalo, State University of New York, Buffalo, NY
| |
Collapse
|
232
|
Clinical and MRI efficacy of sc IFN β-1a tiw in patients with relapsing MS appearing to transition to secondary progressive MS: post hoc analyses of PRISMS and SPECTRIMS. J Neurol 2019; 267:64-75. [PMID: 31559532 PMCID: PMC6954891 DOI: 10.1007/s00415-019-09532-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 09/06/2019] [Accepted: 09/07/2019] [Indexed: 01/09/2023]
Abstract
This study evaluated efficacy of subcutaneous (sc) interferon beta-1a (IFN β-1a) 44 µg 3 × weekly (tiw) in patients appearing to transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive MS (SPMS). The PRISMS study included 560 patients with RRMS (EDSS 0-5.0; ≥ 2 relapses in previous 2 years), and the SPECTRIMS study included 618 patients with SPMS (EDSS 3.0-6.5 and ≥ 1-point increase in previous 2 years [≥ 0.5 point if 6.0-6.5]) randomly assigned to sc IFN β-1a 44 or 22 µg or placebo for 2-3 years, respectively. These post hoc analyses examined five subgroups of MS patients with EDSS 4.0-6.0: PRISMS (n = 59), PRISMS/SPECTRIMS (n = 335), PRISMS/SPECTRIMS with baseline disease activity (n = 195; patients with either ≥ 1 relapse within 2 years before baseline or ≥ 1 gadolinium-enhancing lesion at baseline), PRISMS/SPECTRIMS without baseline disease activity (n = 140), and PRISMS/SPECTRIMS with disease activity during the study (n = 202). In the PRISMS and PRISMS/SPECTRIMS subgroups, sc IFN β-1a delayed disability progression, although no significant effect was observed in PRISMS/SPECTRIMS subgroups with activity at baseline or activity during the study (regardless of baseline activity). In the PRISMS/SPECTRIMS subgroup, over year 1 (0-1) and 2 (0-2), sc IFN β-1a 44 µg tiw significantly reduced annualized relapse rate (p ≤ 0.001), and relapse risk (p < 0.05) versus placebo. Similar results were seen for the PRISMS/SPECTRIMS with baseline disease activity subgroup. Subcutaneous IFN β-1a reduced T2 burden of disease and active T2 lesions in the PRISMS/SPECTRIMS subgroups overall, with and without baseline activity. In conclusion, these post hoc analyses indicate that effects of sc IFN β-1a 44 µg tiw on clinical/MRI endpoints are preserved in a patient subgroup appearing to transition between RRMS and SPMS.
Collapse
|
233
|
Naser Moghadasi A. When an octopus has MS: Application of neurophysiology and immunology of octopuses for multiple sclerosis. Med Hypotheses 2019; 131:109297. [PMID: 31443774 DOI: 10.1016/j.mehy.2019.109297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 06/14/2019] [Accepted: 06/30/2019] [Indexed: 11/30/2022]
Abstract
Multiple sclerosis (MS) is an immune-mediated disease which can cause different symptoms due to the involvement of different regions of the central nervous system (CNS). Although this disease is characterized by the demyelination process, the most important feature of the disease is its degenerative nature. This nature is clinically manifested as progressive symptoms, especially in patients' walking, which can even lead to complete debilitation. Therefore, finding a treatment to prevent the degenerative processes is one of the most important goals in MS studies. To better understand the process and the effect of drugs, scientists use animal models which mostly consisting of mouse, rat, and monkey. In evolutionary terms, octopuses belong to the invertebrates which have many substantial differences with vertebrates. One of these differences is related to the nervous system of these organisms, which is divided into central and peripheral parts. The difference lies in the fact that the main volume of this system expands in the limbs of these organisms instead of their brain. This offers a kind of freedom of action and processing strength in the octopus limbs. Also, the brain of these organisms follows a non-somatotopic model. Although the complex actions of this organism are stimulated by the brain, in contrast to the human brain, this activity is not related to a specific region of the brain; rather the entire brain area of the octopus is activated during a process. Indeed, the brain mapping or the topological perception of a particular action, such as moving the limbs, reflects itself in how that activity is distributed in the octopus brain neurons. Accordingly, various actions are known with varying degrees of activity of neurons in the brain of octopus. Another important feature of octopuses is their ability to regenerate defective tissues including the central and peripheral nervous system. These characteristics raise the question of what features can an octopus show when it is used as an organism to create experimental autoimmune encephalomyelitis (EAE). Can the immune system damage of the octopus brain cause a regeneration process? Will the autonomy of the organs reduce the severity of the symptoms? This article seeks to provide evidence to prove that use of octopuses as laboratory samples for generation of EAE may open up new approaches for researchers to better approach MS.
Collapse
Affiliation(s)
- Abdorreza Naser Moghadasi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
234
|
Solari A, Giovannetti AM, Giordano A, Tortorella C, Torri Clerici V, Brichetto G, Granella F, Lugaresi A, Patti F, Salvetti M, Pesci I, Pucci E, Centonze D, Danni MC, Bonavita S, Ferraro D, Gallo A, Gajofatto A, Nociti V, Grimaldi L, Grobberio M, Lanzillo R, Di Giovanni R, Gregori S, Manni A, Pietrolongo E, Bertagnoli S, Ronzoni M, Compagnucci L, Fantozzi R, Allegri B, Arena S, Buscarinu MC, Sabattini L, Quartuccio ME, Tsantes E, Confaloneri P, Tacchino A, Schiffmann I, Rahn AC, Kleiter I, Messmer Uccelli M, Barabasch A, Heesen C, The ManTra Project. Conversion to Secondary Progressive Multiple Sclerosis: Patient Awareness and Needs. Results From an Online Survey in Italy and Germany. Front Neurol 2019; 10:916. [PMID: 31507519 PMCID: PMC6713887 DOI: 10.3389/fneur.2019.00916] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 08/07/2019] [Indexed: 12/15/2022] Open
Abstract
Background: Few studies have investigated the experiences of patients around the conversion to secondary progressive multiple sclerosis (SPMS). ManTra is a mixed-method, co-production research project conducted in Italy and Germany to develop an intervention for newly-diagnosed SPMS patients. In previous project actions, we identified the needs and experiences of patients converting to SPMS via literature review and qualitative research which involved key stakeholders. Aims: The online patient survey aimed to assess, on a larger and independent sample of recently-diagnosed SPMS patients: (a) the characteristics associated to patient awareness of SPMS conversion; (b) the experience of conversion; (c) importance and prioritization of the needs previously identified. Methods: Participants were consenting adults with SPMS since ≤5 years. The survey consisted of three sections: on general and clinical characteristics; on experience of SPMS diagnosis disclosure (aware participants only); and on importance and prioritization of 33 pre-specified needs. Results: Of 215 participants, those aware of their SPMS diagnosis were 57% in Italy vs. 77% in Germany (p = 0.004). In both countries, over 80% of aware participants received a SPMS diagnosis from the neurologist; satisfaction with SPMS disclosure was moderate to high. Nevertheless, 28-35% obtained second opinions, and 48-56% reported they did not receive any information on SPMS. Participants actively seeking further information were 63% in Germany vs. 31% in Italy (p < 0.001). Variables independently associated to patient awareness were geographic area (odds ratio, OR 0.32, 95% CI 0.13-0.78 for Central Italy; OR 0.21, 95% CI 0.08-0.58 for Southern Italy [vs. Germany]) and activity limitations (OR 7.80, 95% CI 1.47-41.37 for dependent vs. autonomous patients). All pre-specified needs were scored a lot or extremely important, and two prioritized needs were shared by Italian and German patients: "physiotherapy" and "active patient care involvement." The other two differed across countries: "an individualized health care plan" and "information on social rights and policies" in Italy, and "psychological support" and "cognitive rehabilitation" in Germany. Conclusions: Around 40% of SPMS patients were not aware of their disease form indicating a need to improve patient-physician communication. Physiotherapy and active patient care involvement were prioritized in both countries.
Collapse
Affiliation(s)
- Alessandra Solari
- Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Ambra Mara Giovannetti
- Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.,Multiple Sclerosis Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Andrea Giordano
- Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.,Department of Psychology, University of Turin, Turin, Italy
| | - Carla Tortorella
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | | | - Giampaolo Brichetto
- Rehabilitation Centre, Italian Multiple Sclerosis Society, Genoa, Italy.,Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Franco Granella
- Neurosciences Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Alessandra Lugaresi
- UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Francesco Patti
- Sezione Neuroscienze, Dipartimento di Scienze Mediche e Chirurgiche e Tecnologie Avanzate "G.F. Ingrassia", Università di Catania, Catania, Italy.,Centro Sclerosi Multipla, PO Policlinico "G. Rodolico", Catania, Italy
| | - Marco Salvetti
- IRCCS Neuromed, Pozzilli, Italy.,Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy
| | - Ilaria Pesci
- Unità di Neurologia, Centro Sclerosi Multipla, Ospedale di Vaio, Fidenza, Italy
| | - Eugenio Pucci
- UOC Neurologia, Ospedale "A. Murri", ASUR Marche-AV4, Fermo, Italy
| | - Diego Centonze
- IRCCS Neuromed, Pozzilli, Italy.,Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | | | - Simona Bonavita
- II Clinica Neurologica, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - Diana Ferraro
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Antonio Gallo
- I Clinica Neurologica, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - Alberto Gajofatto
- Dipartimento di Neuroscienze, Biomedicina e Movimento, Università di Verona, Verona, Italy
| | - Viviana Nociti
- Istituto di Neurologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Luigi Grimaldi
- UOC Neurologia e Centro Regionale SM, Fondazione Istituto "G. Giglio", Cefalù, Italy
| | - Monica Grobberio
- Laboratory of Clinical Neuropsychology, Department of Neurology and Psychology, ASST Lariana, Como, Italy
| | - Roberta Lanzillo
- Neurosciences, Reproductive and Odontostomatological Sciences Department, Federico II University of Naples, Naples, Italy
| | | | - Silvia Gregori
- UOC Neurologia, Ospedale San Camillo de Lellis, Rieti, Italy
| | - Alessia Manni
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, Aldo Moro University of Bari, Bari, Italy
| | - Erika Pietrolongo
- Department of Neuroscience, Imaging and Clinical Sciences, G. D'Annunzio University of Chieti-Pescara, Chieti, Italy
| | | | - Marco Ronzoni
- Centro Sclerosi Multipla, Ospedale "G. Salvini"-ASST Rhodense, Garbagnate Milanese, Italy
| | - Laura Compagnucci
- Clinica Neurologica, Università Politecnica delle Marche, Ancona, Italy
| | | | - Beatrice Allegri
- Unità di Neurologia, Centro Sclerosi Multipla, Ospedale di Vaio, Fidenza, Italy
| | - Sebastiano Arena
- Sezione Neuroscienze, Dipartimento di Scienze Mediche e Chirurgiche e Tecnologie Avanzate "G.F. Ingrassia", Università di Catania, Catania, Italy.,Centro Sclerosi Multipla, PO Policlinico "G. Rodolico", Catania, Italy
| | - Maria Chiara Buscarinu
- Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy
| | - Loredana Sabattini
- UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Elena Tsantes
- Neurosciences Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Paolo Confaloneri
- Multiple Sclerosis Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Andrea Tacchino
- Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy
| | - Insa Schiffmann
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Christin Rahn
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ingo Kleiter
- Kempfenhausen Centre for Treatment of Multiple Sclerosis, Marianne-Strauß-Klinik, Berg, Germany
| | | | - Anna Barabasch
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - The ManTra Project
- Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.,Multiple Sclerosis Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.,Department of Psychology, University of Turin, Turin, Italy.,Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy.,Rehabilitation Centre, Italian Multiple Sclerosis Society, Genoa, Italy.,Scientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy.,Neurosciences Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.,UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy.,Sezione Neuroscienze, Dipartimento di Scienze Mediche e Chirurgiche e Tecnologie Avanzate "G.F. Ingrassia", Università di Catania, Catania, Italy.,Centro Sclerosi Multipla, PO Policlinico "G. Rodolico", Catania, Italy.,IRCCS Neuromed, Pozzilli, Italy.,Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.,Unità di Neurologia, Centro Sclerosi Multipla, Ospedale di Vaio, Fidenza, Italy.,UOC Neurologia, Ospedale "A. Murri", ASUR Marche-AV4, Fermo, Italy.,Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy.,Clinica Neurologica, Università Politecnica delle Marche, Ancona, Italy.,II Clinica Neurologica, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.,Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, Modena, Italy.,I Clinica Neurologica, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.,Dipartimento di Neuroscienze, Biomedicina e Movimento, Università di Verona, Verona, Italy.,Istituto di Neurologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.,UOC Neurologia e Centro Regionale SM, Fondazione Istituto "G. Giglio", Cefalù, Italy.,Laboratory of Clinical Neuropsychology, Department of Neurology and Psychology, ASST Lariana, Como, Italy.,Neurosciences, Reproductive and Odontostomatological Sciences Department, Federico II University of Naples, Naples, Italy.,Rehabilitation Unit, Mons. L. Novarese Hospital, Moncrivello, Italy.,UOC Neurologia, Ospedale San Camillo de Lellis, Rieti, Italy.,Department of Basic Medical Sciences, Neurosciences and Sense Organs, Aldo Moro University of Bari, Bari, Italy.,Department of Neuroscience, Imaging and Clinical Sciences, G. D'Annunzio University of Chieti-Pescara, Chieti, Italy.,Italian Multiple Sclerosis Society, Mantua, Italy.,Centro Sclerosi Multipla, Ospedale "G. Salvini"-ASST Rhodense, Garbagnate Milanese, Italy.,Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Kempfenhausen Centre for Treatment of Multiple Sclerosis, Marianne-Strauß-Klinik, Berg, Germany.,Italian Multiple Sclerosis Society Research Foundation (FISM), Genoa, Italy
| |
Collapse
|
235
|
Warnke C, Hartung HP. Big data in MS-What can we learn from large international observational studies such as MSBase? Mult Scler 2019; 26:4-5. [PMID: 31397200 DOI: 10.1177/1352458519868982] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Clemens Warnke
- Faculty of Medicine, University of Cologne, Cologne, Germany/Department of Neurology, University Hospital of Cologne, Cologne, Germany
| | - Hans-Peter Hartung
- Department of Neurology, UKD, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| |
Collapse
|
236
|
Andelova M, Uher T, Krasensky J, Sobisek L, Kusova E, Srpova B, Vodehnalova K, Friedova L, Motyl J, Preiningerova JL, Kubala Havrdova E, Horakova D, Vaneckova M. Additive Effect of Spinal Cord Volume, Diffuse and Focal Cord Pathology on Disability in Multiple Sclerosis. Front Neurol 2019; 10:820. [PMID: 31447759 PMCID: PMC6691803 DOI: 10.3389/fneur.2019.00820] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/16/2019] [Indexed: 11/30/2022] Open
Abstract
Introduction: Spinal cord (SC) pathology is strongly associated with disability in multiple sclerosis (MS). We aimed to evaluate the association between focal and diffuse SC abnormalities and spinal cord volume and to assess their contribution to physical disability in MS patients. Methods: This large sample-size cross-sectional study investigated 1,249 patients with heterogeneous MS phenotypes. Upper cervical-cord cross-sectional area (MUCCA) was calculated on an axial 3D-T2w-FatSat sequence acquired at 3T using a novel semiautomatic edge-finding tool. SC images were scored for the presence of sharply demarcated hyperintense areas (focal lesions) and homogenously increased signal intensity (diffuse changes). Patients were dichotomized according EDSS in groups with mild (EDSS up to 3.0) and moderate (EDSS ≥ 3.5) physical disability. Analysis of covariance was used to identify factors associated with dichotomized MUCCA. In binary logistic regression, the SC imaging parameters were entered in blocks to assess their individual contribution to risk of moderate disability. In order to assess the risk of combined SC damage in terms of atrophy and lesional pathology on disability, secondary analysis was carried out where patients were divided into four categories (SC phenotypes) according to median dichotomized MUCCA and presence/absence of focal and/or diffuse changes. Results: MUCCA was strongly associated with total intracranial volume, followed by presence of diffuse SC pathology, and disease duration. Compared to the reference group (normally appearing SC, MUCCA>median), patients with the most severe SC changes (SC affected with focal and/or diffuse lesions, MUCCA
Collapse
Affiliation(s)
- Michaela Andelova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Tomas Uher
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Jan Krasensky
- Department of Radiology, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Prague, Czechia
| | | | - Eliska Kusova
- Department of Radiology, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Prague, Czechia
| | - Barbora Srpova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Karolina Vodehnalova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Lucie Friedova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Jiri Motyl
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Jana Lizrova Preiningerova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Eva Kubala Havrdova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Dana Horakova
- Department of Neurology, First Faculty of Medicine, Center of Clinical Neuroscience, Charles University and General University Hospital in Prague, Prague, Czechia
| | - Manuela Vaneckova
- Department of Radiology, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Prague, Czechia
| |
Collapse
|
237
|
A focus on secondary progressive multiple sclerosis (SPMS): challenges in diagnosis and definition. J Neurol 2019; 268:1210-1221. [PMID: 31363847 DOI: 10.1007/s00415-019-09489-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 07/24/2019] [Accepted: 07/26/2019] [Indexed: 12/23/2022]
Abstract
Secondary progressive multiple sclerosis (SPMS) is the second most common form of multiple sclerosis (MS). One in two relapse remitting multiple sclerosis (RRMS) patients will develop SPMS within 15 years and up to two-thirds after 30 years, leading to a progressive decrease of neurological function and limitation of daily activities. Nevertheless, the SPMS diagnosis is often established retrospectively and delayed up to 3 years due to several patient- and clinician-related factors. Definitive clinical diagnostic criteria are lacking and research is currently ongoing to identify imaging and biochemical biomarkers. As new therapies are introduced, early SPMS diagnosis may represent a window of opportunity for intervention. New approaches, endpoints or technologies could help physicians establishing a diagnosis. Here, we review SPMS in relation to its diagnostic and definition challenges and current screening techniques and tools.
Collapse
|
238
|
Svindt V, Bóna J, Hoffmann I. Changes in temporal features of speech in secondary progressive multiple sclerosis (SPMS) - case studies. CLINICAL LINGUISTICS & PHONETICS 2019; 34:339-356. [PMID: 31342810 DOI: 10.1080/02699206.2019.1645885] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 07/16/2019] [Indexed: 06/10/2023]
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease which, in addition to affecting motor and cognitive functions, may involve language disorders. Despite the importance of speech and language disorders in the quality of life of patients, there are only a few studies about language and speech production difficulties in MS. The aim of this research is to describe the limitation patterns of speech and temporal characteristics of the suprasegmental level in two SPMS cases related to various types of spontaneous speech tasks. We assumed the change of the cognitive load has a greater effect on spontaneous speech in MS patients than in controls. Two SPMS patients, and two sex-, age- and education matched healthy controls were studied. We applied verbal fluency tests (phonemic, episodic, semantic, verb), digit span test, non-word repetition test, Corsi Block Tapping Test, Stroop Colour and Word Test, and Trail Making Test. Token Test was used to measure speech comprehension. The four speech tasks required relatively different degrees of cognitive effort: (a) spontaneous narrative about own life; (b) event description; (c) picture description; (d) narrative recall. Our results show that there are differences between MS patients and controls: MS patients produced slower speech and articulation rate, and they had more and longer pauses in every speech task. Speech tasks and the degree of the cognitive load had a greater effect on MS patients than on control speakers.
Collapse
Affiliation(s)
- Veronika Svindt
- Department of Psycholinguistics, Neurolinguistics and Sociolinguistics, Research Institute for Linguistics of the Hungarian Academy of Sciences, Budapest, Hungary
| | - Judit Bóna
- Department of Applied Linguistics and Phonetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Ildikó Hoffmann
- Department of Psycholinguistics, Neurolinguistics and Sociolinguistics, Research Institute for Linguistics of the Hungarian Academy of Sciences, Budapest, Hungary
- Department of Hungarian Linguistics, University of Szeged, Szeged, Hungary
| |
Collapse
|
239
|
Burtchell J, Fetty K, Miller K, Minden K, Kantor D. Two Sides to Every Story: Perspectives from Four Patients and a Healthcare Professional on Multiple Sclerosis Disease Progression. Neurol Ther 2019; 8:185-205. [PMID: 31273563 PMCID: PMC6858896 DOI: 10.1007/s40120-019-0141-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Indexed: 02/07/2023] Open
Abstract
Abstract Multiple sclerosis (MS) is a chronic progressive disease and many patients transition from an initial relapsing–remitting course to a secondary progressive pattern. Accurate classification of disease status is critical to ensure that patients are treated appropriately and kept informed of their prognosis. Consensus terms defining the different forms of MS are available but were developed primarily for healthcare professionals (HCPs) and may be of limited value to patients. This article provides direct insights from four patients with MS, at different points in their disease trajectory, regarding their understanding of, and attitudes toward, MS progression. We also examine the utility of the current classification systems from the perspectives of patients and HCPs. Responses collected during in-depth, structured interviews and questionnaires portrayed the difficulties patients face accepting their MS diagnosis and treatment, revealed how understanding of the term “disease progression” varies considerably, and highlighted the challenges surrounding the period of transition to secondary progressive MS (SPMS). The terms describing different MS types were considered confusing and can make patients feel “compartmentalized” or “labeled”. Patients also struggled to relate these terms to their reality of living with MS, were reluctant to discuss progression with their HCPs, and feared being diagnosed with SPMS owing to concerns about treatment access. These insights highlight the need to develop patient-friendly language to describe MS progression; it may also be preferable for HCPs to describe MS as a disease spectrum in discussions with their patients. Funding Novartis Pharmaceuticals Corporation. Plain Language Summary Plain language summary available for this article.
Collapse
Affiliation(s)
- Jeri Burtchell
- HealthiVibe, LLC, Arlington, VA, USA.,Partners in Research, East Palatka, FL, USA
| | | | | | | | | |
Collapse
|
240
|
Skoog B, Link J, Tedeholm H, Longfils M, Nerman O, Fagius J, Andersen O. Short-term prediction of secondary progression in a sliding window: A test of a predicting algorithm in a validation cohort. Mult Scler J Exp Transl Clin 2019; 5:2055217319875466. [PMID: 35145727 PMCID: PMC8822449 DOI: 10.1177/2055217319875466] [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: 01/28/2019] [Revised: 08/14/2019] [Accepted: 08/19/2019] [Indexed: 12/03/2022] Open
Abstract
Introduction The Multiple Sclerosis Prediction Score (MSPS, www.msprediction.com) estimates, for any month during the course of relapsing–remitting multiple sclerosis (MS), the individual risk of transition to secondary progression (SP) during the following year. Objective Internal verification of the MSPS algorithm in a derivation cohort, the Gothenburg Incidence Cohort (GIC, n = 144) and external verification in the Uppsala MS cohort (UMS, n = 145). Methods Starting from their second relapse, patients were included and followed for 25 years. A matrix of MSPS values was created. From this matrix, a goodness-of-fit test and suitable diagnostic plots were derived to compare MSPS-calculated and observed outcomes (i.e. transition to SP). Results The median time to SP was slightly longer in the UMS than in the GIC, 15 vs. 11.5 years (p = 0.19). The MSPS was calibrated with multiplicative factors: 0.599 for the UMS and 0.829 for the GIC; the calibrated MSPS provided a good fit between expected and observed outcomes (chi-square p = 0.61 for the UMS), which indicated the model was not rejected. Conclusion The results suggest that the MSPS has clinically relevant generalizability in new cohorts, provided that the MSPS was calibrated to the actual overall SP incidence in the cohort.
Collapse
Affiliation(s)
- B Skoog
- University of Gothenburg, the Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section of Clinical Neuroscience and Rehabilitation, Sweden
| | - J Link
- Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - H Tedeholm
- University of Gothenburg, the Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section of Clinical Neuroscience and Rehabilitation, Sweden
| | - M Longfils
- Department of Mathematical Sciences, Chalmers University of Technology, Sweden
| | - O Nerman
- Department of Mathematical Sciences, Chalmers University of Technology, Sweden
| | - J Fagius
- Neurology, Department of Neuroscience, Uppsala University, Sweden
| | - O Andersen
- University of Gothenburg, the Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section of Clinical Neuroscience and Rehabilitation, Sweden
| |
Collapse
|
241
|
|
242
|
Early Clinical Features, Time to Secondary Progression, and Disability Milestones in Polish Multiple Sclerosis Patients. ACTA ACUST UNITED AC 2019; 55:medicina55060232. [PMID: 31159275 PMCID: PMC6630976 DOI: 10.3390/medicina55060232] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 04/08/2019] [Accepted: 05/29/2019] [Indexed: 01/19/2023]
Abstract
Background and Objectives: Determining the clinical course of multiple sclerosis (MS) and prediction of long-term disability can be a big challenge. To determine early clinical features of MS, their influence on long-term disability progression, and time to transition from relapsing-remitting MS (RRMS) to secondary progressive MS (SPMS), a cohort of Polish patients was studied. Materials and Methods: We retrospectively evaluated 375 Polish MS patients based on data from available medical records. We assessed early clinical MS features and the relationship between demographics and time from disease onset to attainment of 4 and 6 points on the Expanded Disability Status Scale (EDSS), as well as time to conversion from RRMS to SPMS. Results: The differences between initial MS variants were significantly associated with gender, age at disease onset, number and type of the first symptoms, and rate of the disability accrual. Mean times from disease onset to attainment of EDSS 4 and 6 were significantly influenced by the disease variant, age at onset, gender, degree of recovery from the initial symptoms, and first inter-bouts interval. The mean time to secondary progression was significantly influenced by the number and type of the first symptoms of RRMS. Conclusions: Early clinical features of MS are important in determining the disease variant, the time to transition from RRMS to SPMS, as well as predicting the disability accumulation of patients. Despite the small differences regarding the first MS symptoms, the disability outcomes in the cohort of Polish patients are similar to other regions of the world.
Collapse
|
243
|
Abstract
Over the last decade, clinical registries have significantly contributed to the pool of evidence that supports management decisions in patients with multiple sclerosis. Being the largest international registry of multiple sclerosis and neuroimmunological disorders, MSBase collects demographic, clinical and limited paraclinical information from patients managed in different regions and under various circumstances. In this review, we will provide an overview of its published output, with focus on the information with impact on the management of multiple sclerosis.
Collapse
Affiliation(s)
- Tomas Kalincik
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia/Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Helmut Butzkueven
- Central Clinical School, Monash University, Melbourne, VIC, Australia
| |
Collapse
|
244
|
Ahrweiller K, Rousseau C, Le Page E, Bajeux E, Leray E, Michel L, Edan G, Kerbrat A. Decreasing impact of late relapses on disability worsening in secondary progressive multiple sclerosis. Mult Scler 2019; 26:924-935. [PMID: 31094285 DOI: 10.1177/1352458519848090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Changes in relapse activity during secondary progressive multiple sclerosis (SPMS) need to be accurately characterized in order to identify patients who might benefit from continuing disease-modifying therapies. Objective: To describe relapse occurrence in patients with SPMS during long-term follow-up and assess its impact on disability worsening. Methods: This retrospective cohort study included 506 patients. We assessed the influence of relapses on time from SPMS onset to an Expanded Disability Status Scale score of 6 (EDSS 6), and on irreversible worsening of EDSS scores across different periods. Results: The annualized relapse rate (ARR) decreased with patient’s age (mean reduction of 43% per decade) and SPMS duration (mean reduction of 46% every 5 years). Post-progression relapses were associated with shorter time from secondary progressive (SP) phase onset to EDSS 6 (hazard ratio (HR) = 1.29, 95% confidence interval (CI) = (1.01, 1.64)). Relapse occurrence during the first 3 years and 3–5 years after SP onset was associated with an increased risk of irreversible EDSS worsening (OR = 3.12 (1.54, 6.31) and 2.04 (1.16, 3.58)). This association was no longer significant after 5 years. Conclusion: The occurrence of relapses was a marker of short-term disability progression during early SPMS, but did not have decisive impact in later SPMS.
Collapse
Affiliation(s)
- Kevin Ahrweiller
- Department of Neurology, Rennes University Hospital, Rennes, France
| | - Chloé Rousseau
- Clinical Investigation Center (CIC-P) INSERM 1414, Department of Clinical Pharmacology, Rennes University Hospital, Rennes, France
| | - Emmanuelle Le Page
- Department of Neurology, Rennes University Hospital, Rennes, France/Clinical Investigation Center (CIC-P) INSERM 1414, Rennes University Hospital, Rennes, France/West Neuroscience Network of Excellence (WENNE), Rennes, France
| | - Emma Bajeux
- Department of Epidemiology and Public Health, Rennes University Hospital, Rennes, France
| | - Emmanuelle Leray
- Ecole des Hautes Etudes en Santé Publique (EHESP), Rennes, France
| | - Laure Michel
- Department of Neurology, Nantes University Hospital, Nantes, France
| | - Gilles Edan
- Department of Neurology, Rennes University Hospital, Rennes, France/Clinical Investigation Center (CIC-P) INSERM 1414, Rennes University Hospital, Rennes, France/West Neuroscience Network of Excellence (WENNE), Rennes, France
| | - Anne Kerbrat
- Department of Neurology, Rennes University Hospital, Rennes, France/West Neuroscience Network of Excellence (WENNE), France
| |
Collapse
|
245
|
Fellows Maxwell K, Bhattacharya S, Bodziak ML, Jakimovski D, Hagemeier J, Browne RW, Weinstock-Guttman B, Zivadinov R, Ramanathan M. Oxysterols and apolipoproteins in multiple sclerosis: a 5 year follow-up study. J Lipid Res 2019; 60:1190-1198. [PMID: 31085627 DOI: 10.1194/jlr.m089664] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 05/06/2019] [Indexed: 12/18/2022] Open
Abstract
The purpose of this work was to investigate whether changes in oxysterol and apolipoprotein levels over 5 years are associated with disease course and disability progression in multiple sclerosis (MS). This study included 139 subjects [39 healthy controls (HCs), 61 relapsing-remitting MS (RR-MS) patients, and 39 progressive MS (P-MS) patients]. Oxysterols [24-hydroxycholesterol (24HC), 25-hydroxycholesterol (25HC), 27-hydroxycholesterol (27HC), 7α-hydroxycholesterol (7αHC), and 7-ketocholesterol (7KC)] were measured at baseline and 5 years using a novel mass spectrometric method, and apolipoproteins were measured using immunoturbidometric diagnostic kits. Levels of 24HC (P = 0.004), 25HC (P = 0.029), and 27HC (P = 0.026) increased in P-MS patients. 7KC (P = 0.047) and 7αHC (P = 0.001) levels decreased in RR-MS patients, and there were no changes in any oxysterols in HCs. In MS patients, ApoC-II (all P ≤ 0.01) and ApoE (all P ≤ 0.01) changes were positively associated with all oxysterol levels. Increases in 24HC (P = 0.038) and ApoB (P = 0.038) and decreases in 7KC (P = 0.020) were observed in RR-MS patients who converted to secondary P-MS (SP-MS) at follow-up and in SP-MS patients compared with RR-MS patients. Oxysterols and their associations with apolipoproteins differed between MS patients and HCs over 5 years. Oxysterol and apolipoprotein changes were associated with conversion to SP-MS.
Collapse
Affiliation(s)
- Kelly Fellows Maxwell
- Departments of Pharmaceutical Sciences University at Buffalo, The State University of New York, Buffalo, NY
| | - Sonia Bhattacharya
- Biotechnical and Clinical Laboratory Sciences University at Buffalo, The State University of New York, Buffalo, NY
| | - Mary Lou Bodziak
- Biotechnical and Clinical Laboratory Sciences University at Buffalo, The State University of New York, Buffalo, NY
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology The State University of New York, Buffalo, NY
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology The State University of New York, Buffalo, NY
| | - Richard W Browne
- Biotechnical and Clinical Laboratory Sciences University at Buffalo, The State University of New York, Buffalo, NY
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive Multiple Sclerosis Treatment and Research Center, Department of Neurology, The State University of New York, Buffalo, NY
| | - Robert Zivadinov
- Jacobs Comprehensive Multiple Sclerosis Treatment and Research Center, Department of Neurology, The State University of New York, Buffalo, NY.,Center for Biomedical Imaging at Clinical Translational Science Institute Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY
| | - Murali Ramanathan
- Departments of Pharmaceutical Sciences University at Buffalo, The State University of New York, Buffalo, NY .,Buffalo Neuroimaging Analysis Center, Department of Neurology The State University of New York, Buffalo, NY
| |
Collapse
|
246
|
Cree BAC, Hollenbach JA, Bove R, Kirkish G, Sacco S, Caverzasi E, Bischof A, Gundel T, Zhu AH, Papinutto N, Stern WA, Bevan C, Romeo A, Goodin DS, Gelfand JM, Graves J, Green AJ, Wilson MR, Zamvil SS, Zhao C, Gomez R, Ragan NR, Rush GQ, Barba P, Santaniello A, Baranzini SE, Oksenberg JR, Henry RG, Hauser SL. Silent progression in disease activity-free relapsing multiple sclerosis. Ann Neurol 2019; 85:653-666. [PMID: 30851128 PMCID: PMC6518998 DOI: 10.1002/ana.25463] [Citation(s) in RCA: 271] [Impact Index Per Article: 54.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 03/05/2019] [Accepted: 03/06/2019] [Indexed: 12/17/2022]
Abstract
Objective Rates of worsening and evolution to secondary progressive multiple sclerosis (MS) may be substantially lower in actively treated patients compared to natural history studies from the pretreatment era. Nonetheless, in our recently reported prospective cohort, more than half of patients with relapsing MS accumulated significant new disability by the 10th year of follow‐up. Notably, “no evidence of disease activity” at 2 years did not predict long‐term stability. Here, we determined to what extent clinical relapses and radiographic evidence of disease activity contribute to long‐term disability accumulation. Methods Disability progression was defined as an increase in Expanded Disability Status Scale (EDSS) of 1.5, 1.0, or 0.5 (or greater) from baseline EDSS = 0, 1.0–5.0, and 5.5 or higher, respectively, assessed from baseline to year 5 (±1 year) and sustained to year 10 (±1 year). Longitudinal analysis of relative brain volume loss used a linear mixed model with sex, age, disease duration, and HLA‐DRB1*15:01 as covariates. Results Relapses were associated with a transient increase in disability over 1‐year intervals (p = 0.012) but not with confirmed disability progression (p = 0.551). Relative brain volume declined at a greater rate among individuals with disability progression compared to those who remained stable (p < 0.05). Interpretation Long‐term worsening is common in relapsing MS patients, is largely independent of relapse activity, and is associated with accelerated brain atrophy. We propose the term silent progression to describe the insidious disability that accrues in many patients who satisfy traditional criteria for relapsing–remitting MS. Ann Neurol 2019;85:653–666
Collapse
Affiliation(s)
| | - Bruce A C Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jill A Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Riley Bove
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gina Kirkish
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Simone Sacco
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Eduardo Caverzasi
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Antje Bischof
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Tristan Gundel
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alyssa H Zhu
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nico Papinutto
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - William A Stern
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Carolyn Bevan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Andrew Romeo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Douglas S Goodin
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jeffrey M Gelfand
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jennifer Graves
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Ari J Green
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Michael R Wilson
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Scott S Zamvil
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Chao Zhao
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Refujia Gomez
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nicholas R Ragan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gillian Q Rush
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Patrick Barba
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Adam Santaniello
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Sergio E Baranzini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jorge R Oksenberg
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Roland G Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stephen L Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| |
Collapse
|
247
|
Meng X, Zhou HY, Shen HH, Lufumpa E, Li XM, Guo B, Li BZ. Microbe-metabolite-host axis, two-way action in the pathogenesis and treatment of human autoimmunity. Autoimmun Rev 2019; 18:455-475. [PMID: 30844549 DOI: 10.1016/j.autrev.2019.03.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 11/05/2018] [Indexed: 12/14/2022]
Abstract
The role of microorganism in human diseases cannot be ignored. These microorganisms have evolved together with humans and worked together with body's mechanism to maintain immune and metabolic function. Emerging evidence shows that gut microbe and their metabolites open up new doors for the study of human response mechanism. The complexity and interdependence of these microbe-metabolite-host interactions are rapidly being elucidated. There are various changes of microbial levels in models or in patients of various autoimmune diseases (AIDs). In addition, the relevant metabolites involved in mechanism mainly include short-chain fatty acids (SCFAs), bile acids (BAs), and polysaccharide A (PSA). Meanwhile, the interaction between microbes and host genes is also a factor that must be considered. It has been demonstrated that human microbes are involved in the development of a variety of AIDs, including organ-specific AIDs and systemic AIDs. At the same time, microbes or related products can be used to remodel body's response to alleviate or cure diseases. This review summarizes the latest research of microbes and their related metabolites in AIDs. More importantly, it highlights novel and potential therapeutics, including fecal microbial transplantation, probiotics, prebiotics, and synbiotics. Nonetheless, exact mechanisms still remain elusive, and future research will focus on finding a specific strain that can act as a biomarker of an autoimmune disease.
Collapse
Affiliation(s)
- Xiang Meng
- School of Stomatology, Anhui Medical University, Hefei, Anhui, China
| | - Hao-Yue Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China
| | - Hui-Hui Shen
- Department of Clinical Medicine, The second School of Clinical Medicine, Anhui Medical University, Anhui, Hefei, China
| | - Eniya Lufumpa
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Xiao-Mei Li
- Department of Rheumatology & Immunology, Anhui Provincial Hospital, Anhui, Hefei, China
| | - Biao Guo
- The Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, Anhui, China.
| |
Collapse
|
248
|
Zhang Y, Salter A, Wallström E, Cutter G, Stüve O. Evolution of clinical trials in multiple sclerosis. Ther Adv Neurol Disord 2019; 12:1756286419826547. [PMID: 30833985 PMCID: PMC6391540 DOI: 10.1177/1756286419826547] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 12/17/2018] [Indexed: 01/08/2023] Open
Abstract
Clinical trials have advanced the treatment of multiple sclerosis (MS) by demonstrating the safety and efficacy of disease-modifying therapies (DMTs). This review discusses major changes to MS clinical trials in the era of DMTs. As treatment options for MS continue to increase, patients in modern MS trials present earlier and with milder disease compared with historic MS populations. While placebo-controlled trials for some questions may still be relevant, DMT trials in relapsing–remitting MS (RRMS) are no longer ethical. The replacement of the placebo arm by an active comparator arm in trials have raised the cost of trials by requiring larger sample sizes to detect on-study changes in treatment effects. Efforts to improve trial efficiency in RRMS have focused on exploring adaptive designs and relying on sensitive magnetic resonance imaging measures of disease activity. In trials for progressive forms of MS (PMS), the lack of sensitive outcome measures that can be used in shorter-term trials have delayed the development of effective treatments. Recent shifting of the focus to advancing trials in PMS has identified paraclinical outcome measurements with improved potential, and the testing of agents for neuroprotection and remyelination is in progress.
Collapse
Affiliation(s)
- Yinan Zhang
- Department of Neurology and Neurotherapeutics, the University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Amber Salter
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Erik Wallström
- Sanofi Genzyme, Neuro and Gene Therapy, Cambridge, MA, USA
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Olaf Stüve
- Neurology Section, VA North Texas Health Care System, Medical Service, 4500 South Lancaster Rd., Dallas, TX 75216, USADepartment of Neurology, Klinikum rechts der Isar, Technische Universität München, Germany
| |
Collapse
|
249
|
Waters PJ, Komorowski L, Woodhall M, Lederer S, Majed M, Fryer J, Mills J, Flanagan EP, Irani SR, Kunchok AC, McKeon A, Pittock SJ. A multicenter comparison of MOG-IgG cell-based assays. Neurology 2019; 92:e1250-e1255. [PMID: 30728305 PMCID: PMC6511109 DOI: 10.1212/wnl.0000000000007096] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 11/04/2018] [Indexed: 01/02/2023] Open
Abstract
Objectives To compares 3 different myelin oligodendrocyte glycoprotein–immunoglobulin G (IgG) cell-based assays (CBAs) from 3 international centers. Methods Serum samples from 394 patients were as follows: acute disseminated encephalomyelitis (28), seronegative neuromyelitis optica (27), optic neuritis (21 single, 2 relapsing), and longitudinally extensive (10 single, 3 recurrent). The control samples were from patients with multiple sclerosis (244), hypergammaglobulinemia (42), and other (17). Seropositivity was determined by visual observation on a fluorescence microscope (Euroimmun fixed CBA, Oxford live cell CBA) or flow cytometry (Mayo live cell fluorescence-activated cell sorting assay). Results Of 25 samples positive by any methodology, 21 were concordant on all 3 assays, 2 were positive at Oxford and Euroimmun, and 2 were positive only at Oxford. Euroimmun, Mayo, and Oxford results were as follows: clinical specificity 98.1%, 99.6%, and 100%; positive predictive values (PPVs) 82.1%, 95.5%, and 100%; and negative predictive values 79.0%, 78.8%, and 79.8%. Of 5 false-positives, 1 was positive at both Euroimmun and Mayo and 4 were positive at Euroimmun alone. Conclusions Overall, a high degree of agreement was observed across 3 different MOG-IgG CBAs. Both live cell-based methodologies had superior PPVs to the fixed cell assays, indicating that positive results in these assays are more reliable indicators of MOG autoimmune spectrum disorders.
Collapse
Affiliation(s)
- Patrick J Waters
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Lars Komorowski
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Mark Woodhall
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Sabine Lederer
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Masoud Majed
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Jim Fryer
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - John Mills
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Eoin P Flanagan
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Sarosh R Irani
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Amy C Kunchok
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Andrew McKeon
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN
| | - Sean J Pittock
- From the Oxford Autoimmune Neurology Group (P.J.W., M.W., S.R.I.), Nuffield Department of Clinical Neurosciences, UK; Institute for Experimental Immunology (L.K., S.L.), Affiliated to Euroimmun AG, Luebeck, Germany; and Departments of Neurology (M.M., E.P.F., A.C.K., A.M., S.J.P.) and Laboratory Medicine and Pathology (J.F., J.M., E.P.F., A.C.K., A.M., S.J.P.), Mayo Clinic, College of Medicine, Rochester, MN.
| |
Collapse
|
250
|
Brown JWL, Coles A, Horakova D, Havrdova E, Izquierdo G, Prat A, Girard M, Duquette P, Trojano M, Lugaresi A, Bergamaschi R, Grammond P, Alroughani R, Hupperts R, McCombe P, Van Pesch V, Sola P, Ferraro D, Grand'Maison F, Terzi M, Lechner-Scott J, Flechter S, Slee M, Shaygannejad V, Pucci E, Granella F, Jokubaitis V, Willis M, Rice C, Scolding N, Wilkins A, Pearson OR, Ziemssen T, Hutchinson M, Harding K, Jones J, McGuigan C, Butzkueven H, Kalincik T, Robertson N. Association of Initial Disease-Modifying Therapy With Later Conversion to Secondary Progressive Multiple Sclerosis. JAMA 2019; 321:175-187. [PMID: 30644981 PMCID: PMC6439772 DOI: 10.1001/jama.2018.20588] [Citation(s) in RCA: 317] [Impact Index Per Article: 63.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Within 2 decades of onset, 80% of untreated patients with relapsing-remitting multiple sclerosis (MS) convert to a phase of irreversible disability accrual termed secondary progressive MS. The association between disease-modifying treatments (DMTs), and this conversion has rarely been studied and never using a validated definition. OBJECTIVE To determine the association between the use, the type of, and the timing of DMTs with the risk of conversion to secondary progressive MS diagnosed with a validated definition. DESIGN, SETTING, AND PARTICIPANTS Cohort study with prospective data from 68 neurology centers in 21 countries examining patients with relapsing-remitting MS commencing DMTs (or clinical monitoring) between 1988-2012 with minimum 4 years' follow-up. EXPOSURES The use, type, and timing of the following DMTs: interferon beta, glatiramer acetate, fingolimod, natalizumab, or alemtuzumab. After propensity-score matching, 1555 patients were included (last follow-up, February 14, 2017). MAIN OUTCOME AND MEASURE Conversion to objectively defined secondary progressive MS. RESULTS Of the 1555 patients, 1123 were female (mean baseline age, 35 years [SD, 10]). Patients initially treated with glatiramer acetate or interferon beta had a lower hazard of conversion to secondary progressive MS than matched untreated patients (HR, 0.71; 95% CI, 0.61-0.81; P < .001; 5-year absolute risk, 12% [49 of 407] vs 27% [58 of 213]; median follow-up, 7.6 years [IQR, 5.8-9.6]), as did fingolimod (HR, 0.37; 95% CI, 0.22-0.62; P < .001; 5-year absolute risk, 7% [6 of 85] vs 32% [56 of 174]; median follow-up, 4.5 years [IQR, 4.3-5.1]); natalizumab (HR, 0.61; 95% CI, 0.43-0.86; P = .005; 5-year absolute risk, 19% [16 of 82] vs 38% [62 of 164]; median follow-up, 4.9 years [IQR, 4.4-5.8]); and alemtuzumab (HR, 0.52; 95% CI, 0.32-0.85; P = .009; 5-year absolute risk, 10% [4 of 44] vs 25% [23 of 92]; median follow-up, 7.4 years [IQR, 6.0-8.6]). Initial treatment with fingolimod, alemtuzumab, or natalizumab was associated with a lower risk of conversion than initial treatment with glatiramer acetate or interferon beta (HR, 0.66; 95% CI, 0.44-0.99; P = .046); 5-year absolute risk, 7% [16 of 235] vs 12% [46 of 380]; median follow-up, 5.8 years [IQR, 4.7-8.0]). The probability of conversion was lower when glatiramer acetate or interferon beta was started within 5 years of disease onset vs later (HR, 0.77; 95% CI, 0.61-0.98; P = .03; 5-year absolute risk, 3% [4 of 120] vs 6% [2 of 38]; median follow-up, 13.4 years [IQR, 11-18.1]). When glatiramer acetate or interferon beta were escalated to fingolimod, alemtuzumab, or natalizumab within 5 years vs later, the HR was 0.76 (95% CI, 0.66-0.88; P < .001; 5-year absolute risk, 8% [25 of 307] vs 14% [46 of 331], median follow-up, 5.3 years [IQR], 4.6-6.1). CONCLUSIONS AND RELEVANCE Among patients with relapsing-remitting MS, initial treatment with fingolimod, alemtuzumab, or natalizumab was associated with a lower risk of conversion to secondary progressive MS vs initial treatment with glatiramer acetate or interferon beta. These findings, considered along with these therapies' risks, may help inform decisions about DMT selection.
Collapse
Affiliation(s)
- J. William L. Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London, Institute of Neurology, London, United Kingdom
- Clinical Outcomes Research Unit, Melbourne Brain Centre, University of Melbourne, Melbourne, Australia
| | - Alasdair Coles
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, General University Hospital, Prague, Czech Republic
- Charles University in Prague, Katerinska, Czech Republic
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, General University Hospital, Prague, Czech Republic
- Charles University in Prague, Katerinska, Czech Republic
| | | | - Alexandre Prat
- Hopital Notre Dame, Montreal, Canada
- CHUM and Universite de Montreal, Montreal, Canada
| | - Marc Girard
- Hopital Notre Dame, Montreal, Canada
- CHUM and Universite de Montreal, Montreal, Canada
| | - Pierre Duquette
- Hopital Notre Dame, Montreal, Canada
- CHUM and Universite de Montreal, Montreal, Canada
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | - Alessandra Lugaresi
- Department of Biomedical and Neuromotor Sciences, University of Bologna and IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Pierre Grammond
- CISSS Chaudi’re-Appalache, Centre-Hospitalier, Levis, Canada
| | | | | | - Pamela McCombe
- University of Queensland, Brisbane, Australia; Royal Brisbane and Women's Hospital
| | - Vincent Van Pesch
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Patrizia Sola
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | - Diana Ferraro
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | | | - Murat Terzi
- Medical Faculty, Ondokuz Mayis University, Kurupelit, Turkey
| | - Jeannette Lechner-Scott
- School of Medicine and Public Health, University Newcastle, Australia
- Department of Neurology, John Hunter Hospital, Hunter New England Health, Newcastle, Australia
| | | | - Mark Slee
- Flinders University, Adelaide, Australia
| | | | - Eugenio Pucci
- UOC Neurologia, Azienda Sanitaria Unica Regionale Marche, Macerata, Italy
| | | | - Vilija Jokubaitis
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
| | - Mark Willis
- Department of Neurology, Institute of Psychological Medicine and Clinical Neuroscience, Cardiff University, University Hospital of Wales, Cardiff, United Kingdom
| | - Claire Rice
- Department of Neurology, Southmead Hospital, and Clinical Neurosciences, University of Bristol, Bristol, United Kingdom
| | - Neil Scolding
- Department of Neurology, Southmead Hospital, and Clinical Neurosciences, University of Bristol, Bristol, United Kingdom
| | - Alastair Wilkins
- Department of Neurology, Southmead Hospital, and Clinical Neurosciences, University of Bristol, Bristol, United Kingdom
| | - Owen R Pearson
- Abertawe Bro, Morgannwg University Local Health Board, Swansea, United Kingdom
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, MS Center Dresden, Dresden, Germany
| | - Michael Hutchinson
- School of Medicine and Medical Sciences, University College Dublin, St Vincent’s University, Hospital, Dublin, Ireland
| | - Katharine Harding
- Institute for Psychological Medicine and Clinical Neurosciences, Cardiff University, Wales
| | - Joanne Jones
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Christopher McGuigan
- School of Medicine and Medical Sciences, University College Dublin, St Vincent’s University, Hospital, Dublin, Ireland
| | - Helmut Butzkueven
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
- Department of Neurology, Box Hill Hospital, Monash University, Melbourne, Australia
| | - Tomas Kalincik
- Clinical Outcomes Research Unit, Melbourne Brain Centre, University of Melbourne, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
| | - Neil Robertson
- Institute for Psychological Medicine and Clinical Neurosciences, Cardiff University, Wales
| |
Collapse
|