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Pike SC, Gilli F, Pachner AR. The CXCL13 Index as a Predictive Biomarker for Activity in Clinically Isolated Syndrome. Int J Mol Sci 2023; 24:11050. [PMID: 37446228 DOI: 10.3390/ijms241311050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 06/22/2023] [Accepted: 07/01/2023] [Indexed: 07/15/2023] Open
Abstract
Multiple sclerosis (MS) is a clinically heterogenous disease. Currently, we cannot identify patients with more active disease who may potentially benefit from earlier interventions. Previous data from our lab identified the CXCL13 index (ICXCL13), a measure of intrathecal production of CXCL13, as a potential biomarker to predict future disease activity in MS patients two years after diagnosis. Patients with clinically isolated syndrome (CIS) or radiologically isolated syndrome (RIS) underwent a lumbar puncture and blood draw, and the ICXCL13 was determined. They were then followed for at least 5 years for MS activity. Patients with high ICXCL13 were more likely to convert to clinically definite MS (82.4%) compared to those with low ICXCL13 (10.0%). The data presented below demonstrate that this predictive ability holds true in CIS and RIS patients, and for at least five years compared to our initial two-year follow-up study. These data support the concept that ICXCL13 has the potential to be used to guide immunomodulatory therapy in MS.
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Affiliation(s)
- Steven C Pike
- Department of Neurology, Geisel School of Medicine at Dartmouth and Dartmouth Hitchcock Medical Center, Lebanon, NH 03756, USA
- Integrative Neuroscience at Dartmouth, Guarini School of Graduate and Advanced Studies, Hanover, NH 03755, USA
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
| | - Francesca Gilli
- Department of Neurology, Geisel School of Medicine at Dartmouth and Dartmouth Hitchcock Medical Center, Lebanon, NH 03756, USA
- Integrative Neuroscience at Dartmouth, Guarini School of Graduate and Advanced Studies, Hanover, NH 03755, USA
| | - Andrew R Pachner
- Department of Neurology, Geisel School of Medicine at Dartmouth and Dartmouth Hitchcock Medical Center, Lebanon, NH 03756, USA
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2
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Koch-Henriksen N, Magyari M. Apparent changes in the epidemiology and severity of multiple sclerosis. Nat Rev Neurol 2021; 17:676-688. [PMID: 34584250 DOI: 10.1038/s41582-021-00556-y] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2021] [Indexed: 02/08/2023]
Abstract
Multiple sclerosis (MS) is an immunological disease that causes acute inflammatory lesions and chronic inflammation in the CNS, leading to tissue damage and disability. As awareness of MS has increased and options for therapy have come into use, a large amount of epidemiological data have been collected, enabling studies of changes in incidence and disease course over time. Overall, these data seem to indicate that the incidence of MS has increased, but the course of the disease has become milder, particularly in the 25 years since the first disease-modifying therapies (DMTs) became available. A clear understanding of these trends and the reasons for them is important for understanding the factors that influence the development and progression of MS, and for clinical management with respect to prevention and treatment decisions. In this Review, we consider the evidence for changes in the epidemiology of MS, focusing on trends in the incidence of the disease over time and trends in the disease severity. In addition, we discuss the factors influencing these trends, including refinement of diagnostic criteria and improvements in health-care systems that have increased diagnosis in people with mild disease, and the introduction and improvement of DMT.
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Affiliation(s)
- Nils Koch-Henriksen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark. .,The Danish Multiple Sclerosis Registry, Copenhagen University Hospital, Copenhagen, Denmark.
| | - Melinda Magyari
- The Danish Multiple Sclerosis Registry, Copenhagen University Hospital, Copenhagen, Denmark.,Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Copenhagen, Denmark
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3
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Zimmermann HG, Knier B, Oberwahrenbrock T, Behrens J, Pfuhl C, Aly L, Kaminski M, Hoshi MM, Specovius S, Giess RM, Scheel M, Mühlau M, Bellmann-Strobl J, Ruprecht K, Hemmer B, Korn T, Paul F, Brandt AU. Association of Retinal Ganglion Cell Layer Thickness With Future Disease Activity in Patients With Clinically Isolated Syndrome. JAMA Neurol 2018; 75:1071-1079. [PMID: 29710121 PMCID: PMC6143115 DOI: 10.1001/jamaneurol.2018.1011] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Accepted: 02/23/2018] [Indexed: 12/15/2022]
Abstract
Importance Clinically isolated syndrome (CIS) describes a first clinical incident suggestive of multiple sclerosis (MS). Identifying patients with CIS who have a high risk of future disease activity and subsequent MS diagnosis is crucial for patient monitoring and the initiation of disease-modifying therapy. Objective To investigate the association of retinal optical coherence tomography (OCT) results with future disease activity in patients with CIS. Design, Setting, and Participants This prospective, longitudinal cohort study took place between January 2011 and May 2017 at 2 German tertiary referral centers. A total of 179 patients with CIS were screened (80 in Berlin and 99 in Munich). Patients underwent neurological examination, magnetic resonance imaging (MRI), and OCT. Only eyes with no previous optic neuritis were considered for OCT analysis. Main Outcomes and Measures The primary outcome was not meeting the no evidence of disease activity (NEDA-3) criteria; secondary outcomes were MS diagnosis (by the 2010 McDonald criteria) and worsening of disability. The primary measure was OCT-derived ganglion cell and inner plexiform layer thickness; the secondary measures included peripapillary retinal nerve fiber layer thickness, inner nuclear layer thickness, and MRI-derived T2-weighted lesions. Results A total of 97 of the 179 screened patients (54.2%) were enrolled in the study at a median of 93 (interquartile range [IQR], 62-161) days after a first demyelinating event. The median follow-up duration (Kaplan-Meier survival time) was 729 (IQR, 664-903) days. Of 97 patients with CIS (mean age 33.6 [7.9] years; 61 [62.9%] female), 58 (59%) did not meet NEDA-3 criteria during the follow-up period. A Kaplan-Meier analysis showed a significant probability difference in not meeting NEDA-3 criteria by ganglion cell and inner plexiform later thickness (thinnest vs thickest tertile: hazard ratio [HR], 3.33 [95% CI, 1.70-6.55; P < .001; log-rank P = .001). A follow-up diagnosis of MS was more likely for patients with low ganglion cell and inner plexiform layer thickness (thinnest vs thickest tertile: HR, 4.05 [95% CI, 1.93-8.50]; P < .001). Low peripapillary retinal nerve fiber layer thickness likewise indicated risk of not meeting NEDA-3 criteria (thinnest vs thickest tertile: HR, 2.46 [95% CI, 1.29-4.66]; P = .01; log-rank P = .02). Inner nuclear layer thickness and T2-weighted lesion count were not associated with not meeting NEDA-3 criteria. Conclusions and Relevance Retinal ganglion cell and inner plexiform layer thickness might prove a valuable imaging marker for anticipating future disease activity and diagnosis of MS in patients with CIS, which can potentially support patient monitoring and initiation of disease-modifying therapy.
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Affiliation(s)
- Hanna G. Zimmermann
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Benjamin Knier
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Experimental Neuroimmunology, Technische Universität München, Munich, Germany
| | - Timm Oberwahrenbrock
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Janina Behrens
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Catherina Pfuhl
- Department of Neurology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lilian Aly
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Experimental Neuroimmunology, Technische Universität München, Munich, Germany
| | - Miriam Kaminski
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Muna-Miriam Hoshi
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Svenja Specovius
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - René M. Giess
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Michael Scheel
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- TUM Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Judith Bellmann-Strobl
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Thomas Korn
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Experimental Neuroimmunology, Technische Universität München, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Alexander U. Brandt
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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4
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Andersen O, Hildeman A, Longfils M, Tedeholm H, Skoog B, Tian W, Zhong J, Ekholm S, Novakova L, Runmarker B, Nerman O, Maier SE. Diffusion tensor imaging in multiple sclerosis at different final outcomes. Acta Neurol Scand 2018; 137:165-173. [PMID: 28741711 DOI: 10.1111/ane.12797] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/22/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Methods to evaluate the relative contributions of demyelination vs axonal degeneration over the long-term course of MS are urgently needed. We used magnetic resonance diffusion tensor imaging (DTI) to estimate degrees of demyelination and axonal degeneration in the corpus callosum (CC) in cases of MS with different final outcomes. MATERIALS AND METHODS We determined DTI measures mean diffusivity (MD), fractional anisotropy (FA), and axial (AD) and radial (RD) diffusivities in the CC of 31 MS patients, of whom 13 presented a secondary progressive course, 11 a non-progressive course, and seven a monophasic course. The study participants were survivors from an incidence cohort of 254 attack-onset MS patients with 50 years of longitudinal follow-up. As reference, we included five healthy individuals without significant morbidity. RESULTS In patients with secondary progression, compared to all other groups, the corpus callosum showed increased RD and reduced FA, but no change in AD. None of the parameters exhibited differences among non-progressive and monophasic course groups and controls. CONCLUSION Increased RD was observed in secondary progressive MS, indicating significant myelin loss. Normal RD values observed in the clinically isolated syndrome and non-progressive groups confirm their benign nature. AD was not a characterizing parameter for long-term outcome. Demyelination revealed by increased RD is a distinguishing trait for secondary progression.
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Affiliation(s)
- O. Andersen
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - A. Hildeman
- Department of Mathematical Sciences Chalmers University of Technology and University of Gothenburg Gothenburg Sweden
| | - M. Longfils
- Department of Mathematical Sciences Chalmers University of Technology and University of Gothenburg Gothenburg Sweden
| | - H. Tedeholm
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - B. Skoog
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - W. Tian
- Department of Imaging Sciences Medical Center University of Rochester Rochester NY USA
| | - J. Zhong
- Department of Imaging Sciences Medical Center University of Rochester Rochester NY USA
| | - S. Ekholm
- Department of Imaging Sciences Medical Center University of Rochester Rochester NY USA
- Department of Radiology Sahlgrenska University Hospital Gothenburg Sweden
| | - L. Novakova
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - B. Runmarker
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - O. Nerman
- Department of Mathematical Sciences Chalmers University of Technology and University of Gothenburg Gothenburg Sweden
| | - S. E. Maier
- Department of Radiology Sahlgrenska University Hospital Gothenburg Sweden
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5
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Rosenkranz SC, Kaulen B, Neuhaus A, Siemonsen S, Köpke S, Daumer M, Stellmann JP, Heesen C. Low clinical conversion rate in clinically isolated syndrome patients - diagnostic benefit of McDonald 2010 criteria? Eur J Neurol 2017; 25:247-e9. [PMID: 29024243 DOI: 10.1111/ene.13476] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 10/05/2017] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE New diagnostic criteria of multiple sclerosis (MS) increase the number of patients being diagnosed with MS whilst a substantial part might not convert to clinically definite MS (CDMS). The diagnostic accuracy of the McDonald 2005 and 2010 criteria for conversion to CDMS was evaluated in an unselected cohort of patients in whom an MS diagnostic work-up was decided. METHODS Clinical, magnetic resonance imaging and cerebrospinal fluid data were analysed for all patients who presented with symptoms suspicious for MS at the university based MS outpatient clinic between 2006 and 2010 (n = 165). RESULTS Follow-up was available for 131 patients. During the mean follow-up period of 2 years, 19% of patients developed CDMS whereas 64% of the patients fulfilling McDonald 2010 criteria did not convert to CDMS. CONCLUSION The low clinical conversion rate indicates that the new diagnostic criteria may increase the incidence of MS cases with a less active disease course.
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Affiliation(s)
- S C Rosenkranz
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - B Kaulen
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - A Neuhaus
- Sylvia Lawry Centre for Multiple Sclerosis Research, München, Germany
| | - S Siemonsen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - S Köpke
- Institute for Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany
| | - M Daumer
- Sylvia Lawry Centre for Multiple Sclerosis Research, München, Germany
| | - J-P Stellmann
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - C Heesen
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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6
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Spelman T, Meyniel C, Rojas JI, Lugaresi A, Izquierdo G, Grand’Maison F, Boz C, Alroughani R, Havrdova E, Horakova D, Iuliano G, Duquette P, Terzi M, Grammond P, Hupperts R, Lechner-Scott J, Oreja-Guevara C, Pucci E, Verheul F, Fiol M, Van Pesch V, Cristiano E, Petersen T, Moore F, Kalincik T, Jokubaitis V, Trojano M, Butzkueven H. Quantifying risk of early relapse in patients with first demyelinating events: Prediction in clinical practice. Mult Scler 2016; 23:1346-1357. [DOI: 10.1177/1352458516679893] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Background: Characteristics at clinically isolated syndrome (CIS) examination assist in identification of patient at highest risk of early second attack and could benefit the most from early disease-modifying drugs (DMDs). Objective: To examine determinants of second attack and validate a prognostic nomogram for individualised risk assessment of clinical conversion. Methods: Patients with CIS were prospectively followed up in the MSBase Incident Study. Predictors of clinical conversion were analysed using Cox proportional hazards regression. Prognostic nomograms were derived to calculate conversion probability and validated using concordance indices. Results: A total of 3296 patients from 50 clinics in 22 countries were followed up for a median (inter-quartile range (IQR)) of 1.92 years (0.90, 3.71). In all, 1953 (59.3%) patients recorded a second attack. Higher Expanded Disability Status Scale (EDSS) at baseline, first symptom location, oligoclonal bands and various brain and spinal magnetic resonance imaging (MRI) metrics were all predictors of conversion. Conversely, older age and DMD exposure post-CIS were associated with reduced rates. Prognostic nomograms demonstrated high concordance between estimated and observed conversion probabilities. Conclusion: This multinational study shows that age at CIS onset, DMD exposure, EDSS, multiple brain and spinal MRI criteria and oligoclonal bands are associated with shorter time to relapse. Nomogram assessment may be useful in clinical practice for estimating future clinical conversion.
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Affiliation(s)
- Tim Spelman
- Department of Medicine and Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Claire Meyniel
- Department of Medicine and Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
- Department of Neurophysiologie, Pitié-Salpêtrière Hospital, Paris, France
| | | | - Alessandra Lugaresi
- MS Center, Department of Neuroscience and Imaging, University ‘G. d’Annunzio’, Chieti, Italy
| | | | | | - Cavit Boz
- Karadeniz Technical University, Trabzon, Turkey
| | | | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, General University Hospital and Charles University in Prague, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, General University Hospital and Charles University in Prague, Prague, Czech Republic
| | | | | | | | - Pierre Grammond
- Centre de réadaptation en déficience physique Chaudière-Appalaches, Levis, QC, Canada
| | | | | | | | | | | | - Marcela Fiol
- Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia, Buenos Aires, Argentina
| | | | | | | | | | - Tomas Kalincik
- Department of Medicine and Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Vilija Jokubaitis
- Department of Medicine and Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | - Helmut Butzkueven
- Department of Neurology, Box Hill hospital, Monash University, Box Hill, VIC, Australia
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7
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Tedeholm H, Skoog B, Lisovskaja V, Runmarker B, Nerman O, Andersen O. The outcome spectrum of multiple sclerosis: disability, mortality, and a cluster of predictors from onset. J Neurol 2015; 262:1148-63. [PMID: 25712541 DOI: 10.1007/s00415-015-7674-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 02/06/2015] [Accepted: 02/08/2015] [Indexed: 02/07/2023]
Abstract
Interest in the long-term natural history of multiple sclerosis (MS) is being revived, as disability endpoints become increasingly important with the advent of highly efficacious long range but potentially harmful drugs. MS had an increasingly benign course, probably due to better assessment and changing diagnostic criteria. Incidence cohorts reduce inclusion bias, capturing both extreme benign and severe cases. We conducted a 50-year follow-up of an incidence cohort of Gothenburg residents with MS onset in 1950-1964 (n = 254; 212 with an initial relapsing-remitting course and 42 with a monophasic course, diagnostic criteria according to Poser). Patients were followed longitudinally until censoring, death, or study termination in 2012 and evaluated using Kaplan-Meier estimates and Cox regression analysis. Median time to secondary progression was 15 years. Median time to EDSS6 and EDSS7 was 26 and 48 years (n = 254), respectively. The cumulative risk of reaching EDSS6 was 50% at 55 years of age and 80% at 80 years of age (n = 212). A score based on a cluster of clinical features at onset predicted secondary progression, EDSS6, EDSS7, and EDSS10 (hazard ratio 1.6-2.3 per score unit for women, 0.99-1.49 for men). This score predicted the disease course during five decades indirectly, by predicting time to secondary progression. Age at onset predicted the course in men, with 3-6% yearly increase in the risk of reaching disability milestones. The present incidence cohort provided hard outcome data in untreated patients over several decades.
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Affiliation(s)
- Helen Tedeholm
- Section of Clinical Neuroscience and Rehabilitation, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Gröna Stråket 11, 3tr, Sahlgrenska Universitetssjukhuset, 413 45, Gothenburg, Sweden
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8
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Skoog B, Tedeholm H, Runmarker B, Odén A, Andersen O. Continuous prediction of secondary progression in the individual course of multiple sclerosis. Mult Scler Relat Disord 2014; 3:584-92. [PMID: 26265270 DOI: 10.1016/j.msard.2014.04.004] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 03/23/2014] [Accepted: 04/12/2014] [Indexed: 01/22/2023]
Abstract
BACKGROUND Prediction of the course of multiple sclerosis (MS) was traditionally based on features close to onset. OBJECTIVE To evaluate predictors of the individual risk of secondary progression (SP) identified at any time during relapsing-remitting MS. METHODS We analysed a database comprising an untreated MS incidence cohort (n=306) with five decades of follow-up. Data regarding predictors of all attacks (n=749) and demographics from patients (n=157) with at least one distinct second attack were included as covariates in a Poisson regression analysis with SP as outcome. RESULTS The average hazard function of transition to SPMS was 0.046 events per patient year, showing a maximum at age 33. Three covariates were significant predictors: age, a descriptor of the most recent relapse, and the interaction between the descriptor and time since the relapse. A hazard function termed "prediction score" estimated the risk of SP as number of transition events per patient year (range <0.01 to >0.15). CONCLUSIONS The insights gained from this study are that the risk of transition to SP varies over time in individual patients, that the risk of SP is linked to previous relapses, that predictors in the later stages of the course are more effective than the traditional onset predictors, and that the number of potential predictors can be reduced to a few (three in this study) essential items. This advanced simplification facilitates adaption of the "prediction score" to other (more recent, benign or treated) materials, and allows for compact web-based applications (http://msprediction.com).
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Affiliation(s)
- Bengt Skoog
- University of Gothenburg, the Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section of Clinical Neuroscience and Rehabilitation, Gothenburg, Sweden.
| | - Helen Tedeholm
- University of Gothenburg, the Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section of Clinical Neuroscience and Rehabilitation, Gothenburg, Sweden
| | - Björn Runmarker
- University of Gothenburg, the Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section of Clinical Neuroscience and Rehabilitation, Gothenburg, Sweden
| | - Anders Odén
- Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Oluf Andersen
- University of Gothenburg, the Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section of Clinical Neuroscience and Rehabilitation, Gothenburg, Sweden
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