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Wicks TR, Jakimovski D, Reeves J, Bergsland N, Dwyer MG, Weinstock-Guttman B, Zivadinov R. Comorbid onset of cardiovascular diagnosis and long-term confirmed disability progression in multiple sclerosis: A 15-year follow-up study. J Neurol Sci 2024; 464:123156. [PMID: 39096837 DOI: 10.1016/j.jns.2024.123156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/24/2024] [Accepted: 07/27/2024] [Indexed: 08/05/2024]
Abstract
BACKGROUND People with multiple sclerosis (pwMS) have greater prevalence of comorbid cardiovascular diseases (CVD) when compared to the general population despite similar frequency of CV risk factors. OBJECTIVE Determine the impact of comorbid-onset of CVD diagnosis on long-term confirmed disability progression (CDP). METHODS 276 pwMS (29 clinically isolated syndrome, 130 relapsing-remitting and 117 progressive) were clinically followed an average of 14.9 years, with a mean of 14.4 clinical visits. Retrospective electronic medical records (EMR) review determined CVD diagnoses (hypertension, hyperlipidemia, diabetes, and heart disease) at baseline and over the follow-up. CDP was determined with ≥1.0 point Expanded Disability Status Scale (EDSS) increase from EDSS <5.5, or ≥ 0.5-point increase from ≥5.5, and was sustained on next clinical visit. RESULTS A significantly shorter time to overall CDP was detected in 213 pwMS who had an existing (28 pwMS) or developed new onset (185 pwMS) of CVD, compared to 63 CVD-healthy pwMS over the follow-up (13.4 vs 15.9 years, Mantel-Cox p < 0.001), independent of baseline age and EDSS score. The CVD diagnosis preceded the CDP in 103 pwMS (55.7%), occurred after CDP in 71 pwMS (38.4%) and was concurrent in 11 pwMS (5.9%). Using mixed-effect models adjusted for significant age (F = 56.5, p < 0.001) and time effects (F = 67.8, p < 0.001), the CVD-onset diagnosis was associated with greater accrual of disability, as measured by longitudinal increase in EDSS score (F = 4.207, p = 0.04). Sex was not significant predictor of future disability in our cohort. CONCLUSION PwMS with an existing or new onset of comorbid CVD diagnosis showed accelerated disability worsening over long-term. There was no temporal relationship between the onset of CVD and CDP within the group that had CVD-onset diagnosis.
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Affiliation(s)
- Taylor R Wicks
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jack Reeves
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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Foong YC, Merlo D, Gresle M, Buzzard K, Zhong M, Yeh WZ, Jokubaitis V, Monif M, Skibina O, Ozakbas S, Patti F, Grammond P, Amato MP, Kalincik T, Horakova D, Kubala Havrdova E, Weinstock-Guttman B, Lechner Scott J, Boz C, Sa MJ, Butzkueven H, van der Walt A, Zhu C. Comparing ocrelizumab to interferon/glatiramer acetate in people with multiple sclerosis over age 60. J Neurol Neurosurg Psychiatry 2024; 95:767-774. [PMID: 38453478 DOI: 10.1136/jnnp-2023-332883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/11/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Ongoing controversy exists regarding optimal management of disease modifying therapy (DMT) in older people with multiple sclerosis (pwMS). There is concern that the lower relapse rate, combined with a higher risk of DMT-related infections and side effects, may alter the risk-benefit balance in older pwMS. Given the lack of pwMS above age 60 in randomised controlled trials, the comparative efficacy of high-efficacy DMTs such as ocrelizumab has not been shown in older pwMS. We aimed to evaluate the comparative effectiveness of ocrelizumab, a high-efficacy DMT, versus interferon/glatiramer acetate (IFN/GA) in pwMS over the age of 60. METHODS Using data from MSBase registry, this multicentre cohort study included pwMS above 60 who switched to or started on ocrelizumab or IFN/GA. We analysed relapse and disability outcomes after balancing covariates using an inverse probability treatment weighting (IPTW) method. Propensity scores were obtained based on age, country, disease duration, sex, baseline Expanded Disability Status Scale, prior relapses (all-time, 12 months and 24 months) and prior DMT exposure (overall number and high-efficacy DMTs). After weighting, all covariates were balanced. Primary outcomes were time to first relapse and annualised relapse rate (ARR). Secondary outcomes were 6-month confirmed disability progression (CDP) and confirmed disability improvement (CDI). RESULTS A total of 248 participants received ocrelizumab, while 427 received IFN/GA. The IPTW-weighted ARR for ocrelizumab was 0.01 and 0.08 for IFN/GA. The IPTW-weighted ARR ratio was 0.15 (95% CI 0.06 to 0.33, p<0.001) for ocrelizumab compared with IFN/GA. On IPTW-weighted Cox regression models, HR for time to first relapse was 0.13 (95% CI 0.05 to 0.26, p<0.001). The hazard of first relapse was significantly reduced in ocrelizumab users after 5 months compared with IFN/GA users. However, the two groups did not differ in CDP or CDI over 3.57 years. CONCLUSION In older pwMS, ocrelizumab effectively reduced relapses compared with IFN/GA. Overall relapse activity was low. This study adds valuable real-world data for informed DMT decision making with older pwMS. Our study also confirms that there is a treatment benefit in older people with MS, given the existence of a clear differential treatment effect between ocrelizumab and IFN/GA in the over 60 age group.
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Affiliation(s)
- Yi Chao Foong
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
- Department of Neurology, Tasmanian Health Service, Hobart, Tasmania, Australia
| | - Daniel Merlo
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Eastern Health, Box Hill, Victoria, Australia
| | - Melissa Gresle
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
- Melbourne Health, Melbourne, Victoria, Australia
| | - Katherine Buzzard
- Eastern Health, Box Hill, Victoria, Australia
- Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael Zhong
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Wei Zhen Yeh
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Vilija Jokubaitis
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Mastura Monif
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Olga Skibina
- Alfred Health, Melbourne, Victoria, Australia
- Eastern Health, Box Hill, Victoria, Australia
| | | | - Francesco Patti
- Neuroscience, University of Catania Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', Catania, Italy
- University of Catania, Catania, Italy
| | | | - Maria Pia Amato
- Department of Neurological Siences, University of Florence, Florence, Italy
| | - Tomas Kalincik
- Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- CORe, Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | | | - Jeanette Lechner Scott
- Hunter New England Health, New Lambton, New South Wales, Australia
- The University of Newcastle, Newcastle, New South Wales, Australia
| | - Cavit Boz
- Karadeniz Technical University, Trabzon, Turkey
| | - Maria Jose Sa
- Neurology, Centro Hospitalar de São João, Porto, Portugal
- Faculty of Health Sciences University Fernando Pessoa, Porto, Portugal
| | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Anneke van der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Chao Zhu
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
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Ciccarelli O, Barkhof F, Calabrese M, De Stefano N, Eshaghi A, Filippi M, Gasperini C, Granziera C, Kappos L, Rocca MA, Rovira À, Sastre-Garriga J, Sormani MP, Tur C, Toosy AT. Using the Progression Independent of Relapse Activity Framework to Unveil the Pathobiological Foundations of Multiple Sclerosis. Neurology 2024; 103:e209444. [PMID: 38889384 PMCID: PMC11226318 DOI: 10.1212/wnl.0000000000209444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 03/04/2024] [Indexed: 06/20/2024] Open
Abstract
Progression independent of relapse activity (PIRA), a recent concept to formalize disability accrual in multiple sclerosis (MS) independent of relapses, has gained popularity as a potential clinical trial outcome. We discuss its shortcomings and appraise the challenges of implementing it in clinical settings, experimental trials, and research. The current definition of PIRA assumes that acute inflammation, which can manifest as a relapse, and neurodegeneration, manifesting as progressive disability accrual, can be disentangled by introducing specific time windows between the onset of relapses and the observed increase in disability. The term PIRMA (progression independent of relapse and MRI activity) was recently introduced to indicate disability accrual in the absence of both clinical relapses and new brain and spinal cord MRI lesions. Assessing PIRMA in clinical practice is highly challenging because it necessitates frequent clinical assessments and brain and spinal cord MRI scans. PIRA is commonly assessed using Expanded Disability Status Scale, a scale heavily weighted toward motor disability, whereas a more granular assessment of disability deterioration, including cognitive decline, using composite measures or other tools, such as digital tools, would possess greater utility. Similarly, using PIRA as an outcome measure in randomized clinical trials is also challenging and requires methodological considerations. The underpinning pathobiology of disability accumulation, that is not associated with relapses, may encompass chronic active lesions (slowly expanding lesions and paramagnetic rim lesions), cortical lesions, brain and spinal cord atrophy, particularly in the gray matter, diffuse and focal microglial activation, persistent leptomeningeal enhancement, and white matter tract damage. We propose to use PIRA to understand the main determinant of disability accrual in observational, cohort studies, where regular MRI scans are not included, and introduce the term of "advanced-PIRMA" to investigate the contributions to disability accrual of the abovementioned processes, using conventional and advanced imaging. This is supported by the knowledge that MRI reflects the MS pathogenic mechanisms better than purely clinical descriptors. Any residual disability accrual, which remains unexplained after considering all these mechanisms with imaging, will highlight future research priorities to help complete our understanding of MS pathogenesis.
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Affiliation(s)
- Olga Ciccarelli
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Frederik Barkhof
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Massimiliano Calabrese
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Nicola De Stefano
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Arman Eshaghi
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Massimo Filippi
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Claudio Gasperini
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Cristina Granziera
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Ludwig Kappos
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Maria A Rocca
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Àlex Rovira
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Jaume Sastre-Garriga
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Maria Pia Sormani
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Carmen Tur
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Ahmed T Toosy
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
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Mouresan EF, Mentesidou E, Berglund A, McKay KA, Hillert J, Iacobaeus E. Clinical Characteristics and Long-Term Outcomes of Late-Onset Multiple Sclerosis: A Swedish Nationwide Study. Neurology 2024; 102:e208051. [PMID: 38394472 PMCID: PMC11033980 DOI: 10.1212/wnl.0000000000208051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 10/23/2023] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Clinical onset of multiple sclerosis (MS) after the age of 50 years is uncommon and associated with a less favorable natural history. The differences in long-term outcomes in patients with late-onset MS (LOMS, onset 50 years or older) and adult-onset MS (AOMS, onset 18 years or older and younger than 50 years) during the disease-modifying therapy (DMT) era have been less studied. This study aimed to compare patient characteristics, DMT exposure, and disability progression in Swedish patients with LOMS and AOMS over 2 decades (2001-2022). METHODS The nationwide Swedish MS registry was searched for patients with an onset of MS between January 1, 2001, and December 31, 2018, with symptom onset at age 18 years or older and ≥2 recorded Expanded Disability Status Scale (EDSS) scores. Clinical and demographic parameters and exposure to DMT were compared between LOMS and AOMS. Time to disability milestones (EDSS 4 and 6) was assessed using Kaplan-Meier curves and Cox proportional hazards regression models adjusted for sex, disease course, calendar year at onset, and DMT exposure. RESULTS Among 8739 patients with MS who met inclusion criteria, 1,028 (11.8%) were LOMS. Primary progressive MS was more frequently diagnosed in LOMS compared with that in AOMS (25.2% vs 4.5%; p < 0.001). Most of the patients had been prescribed DMT, but more rarely in LOMS compared with AOMS (74.7% vs 95.6%; p < 0.001). Less than half of patients with LOMS had been exposed to a high-efficacy DMT (45.8%) compared with 73.5% of AOMS (p < 0.001). The risk of reaching disability milestones was greater for LOMS compared with that for AOMS (EDSS 4; adjusted hazard ratio [aHR] 2.71; 95% CI 2.22-3.30; p < 0.001, and EDSS 6; aHR 2.67; 95% CI 2.12-3.36; p < 0.001). DISCUSSION This study distinguishes LOMS as a particularly vulnerable group and clinically supports close vigilance of these patients. Further studies are needed to assess and clarify the benefit of DMT usage in older adults with MS.
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Affiliation(s)
- Elena F Mouresan
- From the Department of Clinical Neuroscience (E.F.M., E.M., A.B., K.A.M., J.H., E.I.), and Centre for Molecular Medicine (J.H.), Karolinska Institutet; and Department of Neurology (E.M., K.A.M., E.I.), Stockholm, Sweden
| | - Eleni Mentesidou
- From the Department of Clinical Neuroscience (E.F.M., E.M., A.B., K.A.M., J.H., E.I.), and Centre for Molecular Medicine (J.H.), Karolinska Institutet; and Department of Neurology (E.M., K.A.M., E.I.), Stockholm, Sweden
| | - Anders Berglund
- From the Department of Clinical Neuroscience (E.F.M., E.M., A.B., K.A.M., J.H., E.I.), and Centre for Molecular Medicine (J.H.), Karolinska Institutet; and Department of Neurology (E.M., K.A.M., E.I.), Stockholm, Sweden
| | - Kyla A McKay
- From the Department of Clinical Neuroscience (E.F.M., E.M., A.B., K.A.M., J.H., E.I.), and Centre for Molecular Medicine (J.H.), Karolinska Institutet; and Department of Neurology (E.M., K.A.M., E.I.), Stockholm, Sweden
| | - Jan Hillert
- From the Department of Clinical Neuroscience (E.F.M., E.M., A.B., K.A.M., J.H., E.I.), and Centre for Molecular Medicine (J.H.), Karolinska Institutet; and Department of Neurology (E.M., K.A.M., E.I.), Stockholm, Sweden
| | - Ellen Iacobaeus
- From the Department of Clinical Neuroscience (E.F.M., E.M., A.B., K.A.M., J.H., E.I.), and Centre for Molecular Medicine (J.H.), Karolinska Institutet; and Department of Neurology (E.M., K.A.M., E.I.), Stockholm, Sweden
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5
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Neto LO, Ruiz JA, Gromisch ES. Perceived health- related quality of life in persons with multiple sclerosis with and without a vascular comorbidity. Qual Life Res 2024; 33:573-581. [PMID: 37966685 DOI: 10.1007/s11136-023-03546-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2023] [Indexed: 11/16/2023]
Abstract
PURPOSE Vascular comorbidities are prevalent and can contribute to adverse health outcomes in persons with multiple sclerosis (PwMS). Understanding the association between vascular comorbidities and health-related quality of life (HRQOL) among PwMS may be beneficial in improving outcomes and disease management. This cross-sectional study aimed to examine the relationship between vascular comorbidities and the different dimensions of HRQOL in PwMS. METHODS Participants (n = 185) were PwMS recruited from a community-based comprehensive MS care center. Demographics, comorbid conditions, and disability level were collected via a self-report REDCap survey, with the 29-item Multiple Sclerosis Quality of Life (MSQOL-29) as the outcome measure. Regression models were used to examine the association between vascular comorbidities and the MSQOL-29, controlling for age, gender, ethnicity, level of education, marital status, MS subtype, disease duration, and disability. RESULTS Approximately 35% reported at least one vascular comorbidity, with the most common being hypertension (27.0%), followed by hyperlipidemia (24.9%) and diabetes (8.1%). After factoring in for demographics and disability, having a vascular comorbidity was associated with lower physical HRQOL (β = - 10.05, 95% CI: - 28.24, 23.50), but not mental HRQOL (β = - 2.61, 95% CI: - 10.54, 5.32). Hypertension was negatively associated with several dimensions of HRQOL, including Physical Function, Change in Health, Health Perceptions, Energy, and Health Distress. CONCLUSIONS Having at least one vascular comorbidity is associated with lower physical HRQOL, independent of demographics and level of physical disability. Focus should be directed to the physical burden and challenges vascular comorbidities may cause on the lives of PwMS.
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Affiliation(s)
- Lindsay O Neto
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT, 06112, USA.
- Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at, Quinnipiac University, North Haven, CT, USA.
| | - Jennifer A Ruiz
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT, 06112, USA
- Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at, Quinnipiac University, North Haven, CT, USA
- Department of Medical Sciences, Frank H. Netter MD School of Medicine at, Quinnipiac University, North Haven, CT, USA
| | - Elizabeth S Gromisch
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT, 06112, USA
- Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at, Quinnipiac University, North Haven, CT, USA
- Department of Medical Sciences, Frank H. Netter MD School of Medicine at, Quinnipiac University, North Haven, CT, USA
- Department of Neurology, University of Connecticut School of Medicine, Farmington, CT, USA
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Almramhi MM, Finan C, Storm CS, Schmidt AF, Kia DA, Coneys R, Chopade S, Hingorani AD, Wood NW. Exploring the Role of Plasma Lipids and Statin Interventions on Multiple Sclerosis Risk and Severity: A Mendelian Randomization Study. Neurology 2023; 101:e1729-e1740. [PMID: 37657941 PMCID: PMC10624499 DOI: 10.1212/wnl.0000000000207777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 06/29/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES There has been considerable interest in statins because of their pleiotropic effects beyond their lipid-lowering properties. Many of these pleiotropic effects are predominantly ascribed to Rho small guanosine triphosphatases (Rho GTPases) proteins. We aimed to genetically investigate the role of lipids and statin interventions on multiple sclerosis (MS) risk and severity. METHOD We used two-sample Mendelian randomization (MR) to investigate (1) the causal role of genetically mimic both cholesterol-dependent (through low-density lipoprotein cholesterol (LDL-C) and cholesterol biosynthesis pathway) and cholesterol-independent (through Rho GTPases) effects of statins on MS risk and MS severity, (2) the causal link between lipids (high-density lipoprotein cholesterol [HDL-C] and triglycerides [TG]) levels and MS risk and severity, and (3) the reverse causation between lipid fractions and MS risk. We used summary statistics from the Global Lipids Genetics Consortium (GLGC), eQTLGen Consortium, and the International MS Genetics Consortium (IMSGC) for lipids, expression quantitative trait loci, and MS, respectively (GLGC: n = 188,577; eQTLGen: n = 31,684; IMSGC (MS risk): n = 41,505; IMSGC (MS severity): n = 7,069). RESULTS The results of MR using the inverse-variance weighted method show that genetically predicted RAC2, a member of cholesterol-independent pathway (OR 0.86 [95% CI 0.78-0.95], p-value 3.80E-03), is implicated causally in reducing MS risk. We found no evidence for the causal role of LDL-C and the member of cholesterol biosynthesis pathway on MS risk. The MR results also show that lifelong higher HDL-C (OR 1.14 [95% CI 1.04-1.26], p-value 7.94E-03) increases MS risk but TG was not. Furthermore, we found no evidence for the causal role of lipids and genetically mimicked statins on MS severity. There is no evidence of reverse causation between MS risk and lipids. DISCUSSION Evidence from this study suggests that RAC2 is a genetic modifier of MS risk. Because RAC2 has been reported to mediate some of the pleiotropic effects of statins, we suggest that statins may reduce MS risk through a cholesterol-independent pathway (that is, RAC2-related mechanism(s)). MR analyses also support a causal effect of HDL-C on MS risk.
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Affiliation(s)
- Mona M Almramhi
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Chris Finan
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Catherine S Storm
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Amand F Schmidt
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Demis A Kia
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Rachel Coneys
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Sandesh Chopade
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Aroon D Hingorani
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands
| | - Nick W Wood
- From the Department of Clinical and Movement Neurosciences (M.M.A., C.S.S., D.A.K., R.R.C., N.W.W.), University College London Queen Square Institute of Neurology, United Kingdom; Department of Medical Technology (M.M.A.), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Institute of Cardiovascular Science (C.F., A.F.S., S.C., A.D.H.), Faculty of Population Health, and Health Data Research UK London (A.D.H.), University College London; British Heart Foundation University College London Research Accelerator (C.F., A.F.S., S.C., A.D.H.), United Kingdom; and Department of Cardiology (C.F., A.F.S.), Division Heart and Lungs, University Medical Center Utrecht, the Netherlands.
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Marrie RA. The Barancik lecture: Comorbidity in multiple sclerosis-Looking backward, looking forward. Mult Scler 2023; 29:1049-1056. [PMID: 37125430 PMCID: PMC10413784 DOI: 10.1177/13524585231167740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 03/11/2023] [Accepted: 03/19/2023] [Indexed: 05/02/2023]
Abstract
Comorbidity is highly prevalent in people with multiple sclerosis (MS) throughout their disease course. In the last 15 years, our understanding of the association between comorbidity and outcomes such as relapses, disability progressive, health-related quality of life, health care use, and mortality has grown substantially. The broad adverse impacts of comorbidity on these outcomes point to the need to prevent and treat comorbidity effectively in people with MS. This requires having the necessary tools to evaluate comorbidity, an understanding of how MS affects management of comorbidity now, testing of interventions tailored to people with MS, and determining the best models of care to optimize comorbidity management.
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Affiliation(s)
- Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada/Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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8
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Tumani H, Coyle PK, Cárcamo C, Cordioli C, López PA, Peterka M, Ramo-Tello C, Zuluaga MI, Koster T, Vignos M. Treatment of older patients with multiple sclerosis: Results of an International Delphi Survey. Mult Scler J Exp Transl Clin 2023; 9:20552173231198588. [PMID: 37720692 PMCID: PMC10501080 DOI: 10.1177/20552173231198588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 08/16/2023] [Indexed: 09/19/2023] Open
Abstract
Background People over age 50-55 have historically been excluded from randomized clinical trials for multiple sclerosis (MS). However, more than half of those living with an MS diagnosis are over 55. Objective Explore the unique considerations of treating older people with MS (PwMS) using an iterative and structured Delphi-based assessment to gather expert opinions. Methods Eight MS neurologists with an interest in older PwMS developed a 2-round survey. Survey respondents were qualified neurologists with ≥3 years' experience, personally responsible for treatment decisions, and treating ≥20 patients per month, of whom ≥10% were ≥50 years old. Consensus was defined as ≥75% agreement on questions with categorical responses or as a mean score ≥4 on questions with numerical responses. Results In Survey 1, 224 neurologists responded; 180 of these completed Survey 2. Limited consensus was reached with varying levels of agreement on several topics including identification and assessment of older patients; factors relating to treatment decisions including immunosenescence and comorbidities; considerations for high-efficacy treatments; de-escalation or discontinuation of treatment; effects of COVID-19; and unmet needs for treating this population. Conclusion The results of this Delphi process highlight the need for targeted studies to create guidance for the care of older PwMS.
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Affiliation(s)
| | - Patricia K Coyle
- Department of Neurology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Claudia Cárcamo
- Department of Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Cinzia Cordioli
- Multiple Sclerosis Center, ASST Spedali Civili Di Brescia, Montichiari (Brescia), Italy
| | - Pablo A López
- Neuroimmunology Unit, Department of Neuroscience, Hospital Alemán, Buenos Aires, Argentina
| | - Marek Peterka
- Department of Neurology, Charles University, Prague, Czech Republic
- Faculty of Medicine and University Hospital, Pilsen, Czech Republic
| | - Cristina Ramo-Tello
- Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Faculty of Medicine and University Hospital, Pilsen, Czech Republic
| | | | - Thijs Koster
- Biogen, Cambridge, MA, USA, at the time of this study
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9
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Turk MA, McDermott S, Zhang W, Cai B, Love BL, Hollis N. Associations Between Opioid Prescriptions and Use of Hospital-Based Services Among US Adults with Longstanding Physical Disability or Inflammatory Conditions Compared to Other Adults in the Medical Expenditure Panel Survey, 2010-2015. J Pain Res 2023; 16:1949-1960. [PMID: 37312833 PMCID: PMC10259593 DOI: 10.2147/jpr.s400264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/24/2023] [Indexed: 06/15/2023] Open
Abstract
Purpose To investigate the association of filling opioid prescriptions with healthcare service utilization among a nationally representative sample of adults with disability. Materials and Methods The Medical Expenditure Panel Survey (MEPS) for 2010-2015, Panels 15-19, was used to identify adults who were prescribed opioids during each two-year period. We examined the data for associations between opioid prescription filling and the number of emergency department (ED) visits and hospitalizations. The participants were grouped as those with inflammatory conditions or with longstanding physical disability, and a comparison group of those without these conditions. Results and conclusions Opioid prescription filling differed among adults with inflammatory conditions and longstanding physical disability compared to the comparison group (44.93% and 40.70% vs 18.10%, respectively). For both groups of people with disability, the relative rates for an ED visit or hospitalization were significantly higher for those who filled an opioid prescription, compared to adults with the same conditions who did not fill an opioid prescription. People with a longstanding physical disability who filled an opioid prescription had the highest rate ratio of ED use and hospitalization. Results from this investigation demonstrate that opioid prescription filling among persons with inflammatory conditions and longstanding physical disabilities is associated with higher rates of ED visits and hospitalizations.
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Affiliation(s)
- Margaret A Turk
- Department of Physical Medicine and Rehabilitation, State University of New York (SUNY) Upstate Medical University, Syracuse, NY, USA
| | - Suzanne McDermott
- Department of Environmental, Occupational, and Geospatial Health Sciences, CUNY Graduate School of Public Health & Health Policy, New York, NY, USA
| | - Wanfang Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Bo Cai
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Bryan L Love
- Department of Clinical Pharmacy and Outcome Science, University of South Carolina College of Pharmacy, Columbia, SC, USA
| | - NaTasha Hollis
- Disability and Health Promotion Branch, Division of Human Development and Disability, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
- U.S Public Health Service, Atlanta, GA, USA
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10
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Marrie RA, Fisk JD, Fitzgerald K, Kowalec K, Maxwell C, Rotstein D, Salter A, Tremlett H. Etiology, effects and management of comorbidities in multiple sclerosis: recent advances. Front Immunol 2023; 14:1197195. [PMID: 37325663 PMCID: PMC10266935 DOI: 10.3389/fimmu.2023.1197195] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/19/2023] [Indexed: 06/17/2023] Open
Abstract
Comorbid conditions commonly affect people with multiple sclerosis (MS). Population-based studies indicate that people with MS have an increased incidence of ischemic heart disease, cerebrovascular disease, peripheral vascular disease, and psychiatric disorders as compared to people without MS. People with MS from underrepresented minority and immigrant groups have higher comorbidity burdens. Comorbidities exert effects throughout the disease course, from symptom onset through diagnosis to the end of life. At the individual level, comorbidity is associated with higher relapse rates, greater physical and cognitive impairments, lower health-related quality of life, and increased mortality. At the level of the health system and society, comorbidity is associated with increased health care utilization, costs and work impairment. A nascent literature suggests that MS affects outcomes from comorbidities. Comorbidity management needs to be integrated into MS care, and this would be facilitated by determining optimal models of care.
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Affiliation(s)
- Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - John D. Fisk
- Nova Scotia Health and the Departments of Psychiatry, Psychology & Neuroscience, and Medicine, Dalhousie University, Halifax, NS, Canada
| | - Kathryn Fitzgerald
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Kaarina Kowalec
- College of Pharmacy, University of Manitoba, Winnipeg, MB, Canada
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Colleen Maxwell
- Schools of Pharmacy and Public Health & Health Systems, University of Waterloo, Waterloo, ON, Canada
| | - Dalia Rotstein
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- St. Michael’s Hospital, Toronto, ON, Canada
| | - Amber Salter
- Department of Neurology, UT Southwestern, Dallas, TX, United States
| | - Helen Tremlett
- Department of Medicine (Neurology) and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
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11
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Bridge F, Butzkueven H, Van der Walt A, Jokubaitis VG. The impact of menopause on multiple sclerosis. Autoimmun Rev 2023; 22:103363. [PMID: 37230311 DOI: 10.1016/j.autrev.2023.103363] [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: 05/03/2023] [Accepted: 05/21/2023] [Indexed: 05/27/2023]
Abstract
Menopause, defined as the permanent cessation of ovarian function, represents a period of significant fluctuation in sex hormone concentrations. Sex hormones including oestrogen, progesterone, testosterone and anti-Mullerian hormone are thought have neuroinflammatory effects and are implicated in both neuroprotection and neurodegeneration. Sex hormones are thought to have a role in modifying clinical trajectory in multiple sclerosis (MS) throughout the lifespan. Multiple sclerosis predominantly effects women and is typically diagnosed early in a woman's reproductive life. Most women with MS will undergo menopause. Despite this, the effect of menopause on MS disease course remains unclear. This review examines the relationship between sex hormones and MS disease activity and clinical course, particularly around the time of menopause. It will consider the role of interventions such as exogenous hormone replacement therapy in modulating clinical outcomes in this period. Understanding the impact of menopause on multiple sclerosis is fundamental for delivering optimal care to women with MS as they age and will inform treatment decisions with the aim of minimising relapses, disease accrual and improving quality of life.
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Affiliation(s)
- Francesca Bridge
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.
| | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Anneke Van der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Vilija G Jokubaitis
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
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12
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Harding KE, Ingram G, Tallantyre EC, Joseph F, Wardle M, Pickersgill TP, Willis MD, Tomassini V, Pearson OR, Robertson NP. Contemporary study of multiple sclerosis disability in South East Wales. J Neurol Neurosurg Psychiatry 2023; 94:272-279. [PMID: 36328420 DOI: 10.1136/jnnp-2022-330013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND A contemporary understanding of disability evolution in multiple sclerosis (MS) is an essential tool for individual disease management and planning of interventional studies. We have used prospectively collected longitudinal data to analyse disability progression and variation in a British MS cohort. METHODS Cox proportional hazards regression was used to estimate hazard of Expanded Disability Status Scale (EDSS) 4.0 and 6.0. A continuous Markov model was used to estimate transitional probabilities for individual EDSS scores. Models were adjusted for age at MS onset, sex and disease-modifying treatments (DMTs) exposure. RESULTS 2135 patients were included (1487 (70%) female, 1922 (89%) relapsing onset). 865 (41%) had used DMTs. Median time to EDSS 4.0 and 6.0 was 18.2 years (95% CI 16.3 to 20.2) and 22.1 years (95% CI 20.5 to 24.5). In the Markov model, the median time spent at EDSS scores of <6 (0.40-0.98 year) was shorter than the time spent at EDSS scores of ≥6 (0.87-4.11 year). Hazard of change in EDSS was greatest at EDSS scores <6 (HR for increasing EDSS: 1.02-1.33; decreasing EDSS: 0.34-1.27) compared with EDSS scores ≥6 (HR for increasing EDSS: 0.08-0.61; decreasing EDSS: 0.18-0.54). CONCLUSIONS These data provide a detailed contemporary model of disability outcomes in a representative population-based MS cohort. They support a trend of increasing time to disability milestones compared with historical reference populations, and document disability variation with the use of transitional matrices. In addition, they provide essential information for patient counselling, clinical trial design, service planning and offer a comparative baseline for assessment of therapeutic interventions.
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Affiliation(s)
| | - Gillian Ingram
- Neurology Department, Swansea Bay University Health Board, Swansea, UK
| | - Emma Clare Tallantyre
- Helen Durham Centre for Neuroinflammatory Disease, Cardiff and Vale University Health Board, Cardiff, UK.,Institute of Psychological Medicine and Neurology, Cardiff University, Cardiff, UK
| | - Fady Joseph
- Department of Neurology, Aneurin Bevan University Health Board, Newport, UK
| | - Mark Wardle
- Helen Durham Centre for Neuroinflammatory Disease, Cardiff and Vale University Health Board, Cardiff, UK
| | - Trevor P Pickersgill
- Helen Durham Centre for Neuroinflammatory Disease, Cardiff and Vale University Health Board, Cardiff, UK
| | - Mark D Willis
- Helen Durham Centre for Neuroinflammatory Disease, Cardiff and Vale University Health Board, Cardiff, UK
| | - Valentina Tomassini
- Institute of Psychological Medicine and Neurology, Cardiff University, Cardiff, UK.,Institute of Advanced Biomedical Technologies (ITAB), Department of Neuroscience and Imaging and Clinical Sciences, Multiple Sclerosis Center, Neurological Clinic, SS Annunziata Hospital, Università degli Studi Gabriele d'Annunzio Chieti Pescara, Chieti, Italy
| | - Owen Rhys Pearson
- Neurology Department, Swansea Bay University Health Board, Swansea, UK
| | - Neil P Robertson
- Helen Durham Centre for Neuroinflammatory Disease, Cardiff and Vale University Health Board, Cardiff, UK.,Institute of Psychological Medicine and Neurology, Cardiff University, Cardiff, UK
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13
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Barateiro A, Barros C, Pinto MV, Ribeiro AR, Alberro A, Fernandes A. Women in the field of multiple sclerosis: How they contributed to paradigm shifts. Front Mol Neurosci 2023; 16:1087745. [PMID: 36818652 PMCID: PMC9937661 DOI: 10.3389/fnmol.2023.1087745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023] Open
Abstract
History is full of women who made enormous contributions to science. While there is little to no imbalance at the early career stage, a decreasing proportion of women is found as seniority increases. In the multiple sclerosis (MS) field, 44% of first authors and only 35% of senior authors were female. So, in this review, we highlight ground-breaking research done by women in the field of MS, focusing mostly on their work as principal investigators. MS is an autoimmune disorder of the central nervous system (CNS), with evident paradigm shifts in the understating of its pathophysiology. It is known that the immune system becomes overactivated and attacks myelin sheath surrounding axons. The resulting demyelination disrupts the communication signals to and from the CNS, which causes unpredictable symptoms, depending on the neurons that are affected. Classically, MS was reported to cause mostly physical and motor disabilities. However, it is now recognized that cognitive impairment affects more than 50% of the MS patients. Another shifting paradigm was the involvement of gray matter in MS pathology, formerly considered to be a white matter disease. Additionally, the identification of different T cell immune subsets and the mechanisms underlying the involvement of B cells and peripheral macrophages provided a better understanding of the immunopathophysiological processes present in MS. Relevantly, the gut-brain axis, recognized as a bi-directional communication system between the CNS and the gut, was found to be crucial in MS. Indeed, gut microbiota influences not only different susceptibilities to MS pathology, but it can also be modulated in order to positively act in MS course. Also, after the identification of the first microRNA in 1993, the role of microRNAs has been investigated in MS, either as potential biomarkers or therapeutic agents. Finally, concerning MS therapeutical approaches, remyelination-based studies have arisen on the spotlight aiming to repair myelin loss/neuronal connectivity. Altogether, here we emphasize the new insights of remarkable women that have voiced the impact of cognitive impairment, white and gray matter pathology, immune response, and that of the CNS-peripheral interplay on MS diagnosis, progression, and/or therapy efficacy, leading to huge breakthroughs in the MS field.
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Affiliation(s)
- Andreia Barateiro
- Central Nervous System, Blood and Peripheral Inflammation Lab, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal,Department of Pharmaceutical Sciences and Medicines, Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal,Andreia Barateiro,
| | - Catarina Barros
- Central Nervous System, Blood and Peripheral Inflammation Lab, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - Maria V. Pinto
- Central Nervous System, Blood and Peripheral Inflammation Lab, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - Ana Rita Ribeiro
- Central Nervous System, Blood and Peripheral Inflammation Lab, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - Ainhoa Alberro
- Central Nervous System, Blood and Peripheral Inflammation Lab, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal,Multiple Sclerosis Group, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Adelaide Fernandes
- Central Nervous System, Blood and Peripheral Inflammation Lab, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal,Department of Pharmaceutical Sciences and Medicines, Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal,*Correspondence: Adelaide Fernandes,
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14
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Berkovich R, Negroski D, Wynn D, Sellers D, Bzdek KG, Lublin AL, Rawlings AM, Quach C, Wells DP, Dumlao M, Bora A, Ranno AE, Luo KL, Chavin J, Hua LH, Becker D. Effectiveness and safety of switching to teriflunomide in older patients with relapsing multiple sclerosis: A real-world retrospective multicenter analysis. Mult Scler Relat Disord 2023; 70:104472. [PMID: 36566698 DOI: 10.1016/j.msard.2022.104472] [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: 09/20/2022] [Revised: 12/05/2022] [Accepted: 12/17/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND The prevalence of multiple sclerosis (MS) in older people is increasing due to population aging and availability of effective disease-modifying therapies (DMTs). Treating older people with MS is complicated by age-related and MS-related comorbidities, immunologic effects of prior DMTs, and immunosenescence. Teriflunomide is a once-daily oral immunomodulator that has demonstrated efficacy and acceptable safety in clinical trials of adults with relapsing forms of MS (RMS). However, there are limited clinical trial and real-world data regarding teriflunomide use in people with MS aged >55 years. We analyzed real-world data to assess the effectiveness and safety of teriflunomide in older people with RMS who had switched to this agent from other DMTs. METHODS People with RMS (relapsing remitting and active secondary progressive MS) aged ≥55 years who had switched from other DMTs to teriflunomide (7 mg or 14 mg) for ≥1 year were identified retrospectively by chart review at four sites in the United States. Data were extracted from medical records from 1 year pre-index to 2 years post-index (index defined as the teriflunomide start date). Assessments of effectiveness included annualized relapse rate (ARR), Expanded Disability Status Scale (EDSS) score, and magnetic resonance imaging (MRI) outcomes. Assessments of safety included lymphocyte counts, infections, and malignancies. We examined the effectiveness outcomes and lymphocyte counts within sub-groups defined by age (55-64, ≥65 years), sex, MS type, and prior route of DMT administration (oral, injectable, infusible). RESULTS In total, 182 patients with RMS aged ≥55 years who switched from other DMTs to teriflunomide were identified (mean [SD] age: 62.5 [5.4] years). Mean ARR decreased from the start of teriflunomide treatment (mean [SD]: 0.43 [0.61]) to year 1 post-index (0.13 [0.65]) and year 2 post-index (0.05 [0.28]). Mean EDSS score remained unchanged from index (mean [SD]: 4.5 [1.8]) to 1 year post-treatment (4.5 [1.8]) and increased slightly at 2 years post-treatment (4.7 [1.7]). MRI scans from index and years 1 and 2 post-index compared with scans from the previous year indicated that most patients had stable or improved MRI outcomes at index (87.7%) and remained stable or improved at years 1 (96.0%) and 2 (93.6%). Lymphopenia decreased at years 1 (21.4%) and 2 post-index (14.8%, compared to index (23.5%). By 1 year post-index, fewer patients had grade 3 or 4 lymphopenia, and at 2 years post-index, there were no patients with grade 3 or 4 lymphopenia. Infection incidence was low (n = 40, 22.0%) and none were related to teriflunomide. The decreases in lymphopenia were driven by decreases among people who switched from a prior oral DMT; there were no notable differences in lymphopenia across the other sub-groups examined. ARR, EDSS score, and MRI outcomes across all sub-groups were similar to the results of the overall population. CONCLUSION Our multicenter, longitudinal, retrospective study demonstrated that patients with RMS aged 55 or older switching to teriflunomide from other DMTs had significantly improved ARR, stable disability, and stable or improved MRI over up to 2 years' follow up. Safety results were acceptable with fewer patients exhibiting lymphopenia at years 1 and 2 post-index.
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Affiliation(s)
- Regina Berkovich
- Regina Berkovich MD PhD Inc MS Neurology, West Hollywood, CA, United States; USC-LAC Neurology, Los Angeles, CA, United States
| | | | - Daniel Wynn
- Consultants in Neurology MS Center, Northbrook, IL, United States
| | | | - Kristen G Bzdek
- Sanofi, Cambridge, MA, United States; Worldwide Clinical Trials, Research Triangle Park, NC, United States
| | | | | | - Cuc Quach
- Sanofi, Cambridge, MA, United States
| | | | | | | | | | | | | | - Le H Hua
- Lou Ruvo Center for Brain Health, Las Vegas, NV, United States
| | - Daniel Becker
- International Neurorehabilitation Institute, Baltimore, MD, USA; Johns Hopkins Hospital, Baltimore, MD, United States.
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15
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Association between multiple sclerosis and epilepsy: A systematic review and meta-analysis. Mult Scler Relat Disord 2023; 69:104421. [PMID: 36434909 DOI: 10.1016/j.msard.2022.104421] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/17/2022] [Accepted: 11/17/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Seizures in people with multiple sclerosis (MS) are reported; however, the risk of epilepsy in adults with MS remains poorly defined. METHODS We performed a systematic review and meta-analysis to evaluate the incidence and prevalence of epilepsy in adults (≥ 18 years) with MS compared to those without. We searched MEDLINE and EMBASE from inception to July 1, 2022 to include observational studies that reported the prevalence or incidence of epilepsy in adults with MS and a comparator group, consisting of adults without MS or the general population. We used the Newcastle Ottawa Scale to evaluate quality of the included studies. We performed random-effects meta-analyses to determine the prevalence and incidence of epilepsy in adults with MS compared to the non-MS group. RESULTS We identified 17 studies consisting of 192,850 adults with MS, across nine countries. Most studies were of moderate quality as they did not specify the MS type or type of seizures. Compared to a comparison group, both the prevalence (pooled OR 2.04; 95% confidence interval 1.59-2.63, I2 = 95.4, n = 12) and the incidence of epilepsy (pooled RR 3.34; 3.17-3.52, I2 = 4.6%, n = 6) was higher in people with MS. Heterogeneity in estimates was not explained by additional analyses. CONCLUSIONS MS is an independent risk factor for both incident and prevalent epilepsy, suggesting variation in grey matter involvement over the disease course. Longitudinal studies are required to help identify patient and disease characteristics associated with epilepsy.
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16
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Selton M, Mathey G, Soudant M, Manceau P, Anxionnat R, Debouverie M, Jonas J. Prognostic impact of epileptic seizures in multiple sclerosis varies according to time of occurrence and etiology. Eur J Neurol 2022; 29:3537-3546. [PMID: 36083790 PMCID: PMC9826490 DOI: 10.1111/ene.15551] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND PURPOSE Epileptic seizures occur more often in patients with multiple sclerosis (MS) than in the general population. Their association with the prognosis of MS remains unclear. This study was undertaken to evaluate whether epileptic seizures may be a prognostic marker of MS disability, according to when the seizure occurs and its cause. METHODS Data were extracted from a population-based registry of MS in Lorraine, France. Kaplan-Meier curves and log-rank tests were used to compare the probability of different levels of irreversible handicap during the course of MS in patients who experience epileptic seizures or do not, according to the chronology and the cause of the first epileptic seizure. RESULTS Among 6238 patients, 134 had experienced at least one epileptic seizure (2.1%), and 82 (1.2%) had seizures secondary to MS. Patients with epileptic seizure as a first symptom of MS (14 patients) had the same disease progression as other relapsing-remitting MS patients. Patients who developed epileptic seizures during the course of MS (68 patients) had a higher probability of reaching Expanded Disability Status Scale = 3.0 (p = 0.006), 6.0 (p = 0.003), and 7.0 (p = 0.004) than patients without an epileptic background. Patients with a history of epileptic seizures unrelated to MS also had a worse prognosis than patients without an epileptic background. CONCLUSIONS Epileptic seizures might be viewed as a "classic MS relapse" in terms of prognosis if occurring early in MS, or as a marker of MS severity if developing during the disease. Epileptic diseases other than MS may worsen the course of MS.
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Affiliation(s)
- Marion Selton
- Department of Neurology, Nancy Regional University Hospital CenterUniversity of LorraineNancyFrance
| | - Guillaume Mathey
- Department of Neurology, Nancy Regional University Hospital CenterUniversity of LorraineNancyFrance,INSERM, CIC‐1433 Epidemiologie CliniqueNancy Regional University Hospital Center, University of LorraineNancyFrance,EA 4360 APEMACUniversity of LorraineNancyFrance
| | - Marc Soudant
- INSERM, CIC‐1433 Epidemiologie CliniqueNancy Regional University Hospital Center, University of LorraineNancyFrance
| | - Philippe Manceau
- Department of Neurology, Nancy Regional University Hospital CenterUniversity of LorraineNancyFrance
| | - René Anxionnat
- Department of Neuroradiology, Nancy Regional University Hospital CenterUniversity of LorraineNancyFrance
| | - Marc Debouverie
- Department of Neurology, Nancy Regional University Hospital CenterUniversity of LorraineNancyFrance,INSERM, CIC‐1433 Epidemiologie CliniqueNancy Regional University Hospital Center, University of LorraineNancyFrance,EA 4360 APEMACUniversity of LorraineNancyFrance
| | - Jacques Jonas
- Department of Neurology, Nancy Regional University Hospital CenterUniversity of LorraineNancyFrance,CNRS, CRANUniversity of LorraineNancyFrance
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17
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Uddin MN, Figley TD, Kornelsen J, Mazerolle EL, Helmick CA, O'Grady CB, Pirzada S, Patel R, Carter S, Wong K, Essig MR, Graff LA, Bolton JM, Marriott JJ, Bernstein CN, Fisk JD, Marrie RA, Figley CR. The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines. FRONTIERS IN NEUROIMAGING 2022; 1:970385. [PMID: 37555178 PMCID: PMC10406313 DOI: 10.3389/fnimg.2022.970385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/29/2022] [Indexed: 08/10/2023]
Abstract
The Comorbidity and Cognition in Multiple Sclerosis (CCOMS) study represents a coordinated effort by a team of clinicians, neuropsychologists, and neuroimaging experts to investigate the neural basis of cognitive changes and their association with comorbidities among persons with multiple sclerosis (MS). The objectives are to determine the relationships among psychiatric (e.g., depression or anxiety) and vascular (e.g., diabetes, hypertension, etc.) comorbidities, cognitive performance, and MRI measures of brain structure and function, including changes over time. Because neuroimaging forms the basis for several investigations of specific neural correlates that will be reported in future publications, the goal of the current manuscript is to briefly review the CCOMS study design and baseline characteristics for participants enrolled in the three study cohorts (MS, psychiatric control, and healthy control), and provide a detailed description of the MRI hardware, neuroimaging acquisition parameters, and image processing pipelines for the volumetric, microstructural, functional, and perfusion MRI data.
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Affiliation(s)
- Md Nasir Uddin
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
| | - Teresa D. Figley
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
| | - Jennifer Kornelsen
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Department of Physiology and Pathophysiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Erin L. Mazerolle
- Department of Psychology, St. Francis Xavier University, Antigonish, NS, Canada
| | - Carl A. Helmick
- Division of Geriatric Medicine, Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Christopher B. O'Grady
- Department of Anesthesia and Biomedical Translational Imaging Centre, Dalhousie University, Halifax, NS, Canada
| | - Salina Pirzada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Department of Physiology and Pathophysiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Ronak Patel
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Sean Carter
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
| | - Kaihim Wong
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
| | - Marco R. Essig
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
| | - Lesley A. Graff
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - James M. Bolton
- Department of Psychiatry, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - James J. Marriott
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Charles N. Bernstein
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - John D. Fisk
- Nova Scotia Health Authority and the Departments of Psychiatry, Psychology and Neuroscience, and Medicine, Dalhousie University, Halifax, NS, Canada
| | - Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Chase R. Figley
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada
- Department of Physiology and Pathophysiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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Abstract
PURPOSE OF REVIEW This article provides an overview of genetic, environmental, and lifestyle risk factors affecting the disease course of multiple sclerosis (MS) and reviews the pathophysiologic characteristics of both relapsing and progressive MS. RECENT FINDINGS The prevalence of MS has increased in recent decades, and costs of care for patients with MS have risen dramatically. Black, Asian, and Hispanic individuals may be at risk for more severe MS-related disability. Multiple genetic MS risk factors have been identified. Factors such as low vitamin D levels and a history of Epstein-Barr virus, smoking, and obesity, especially during childhood, also influence MS risk. Traditionally thought to be a T-cell-mediated disease, recent research has highlighted the additional roles of B cells and microglia in both relapsing and progressive MS. SUMMARY Complex interactions between genetic, environmental, and lifestyle factors affect the risk for MS as well as the disease course. People of color have historically been underrepresented in both MS clinical trials and literature, but current research is attempting to better clarify unique considerations in these groups. MS pathology consists of the focal inflammatory lesions that have been well characterized in relapsing MS, as well as a more widespread neurodegenerative component that is posited to drive progressive disease. Recent advances in characterization of both the inflammatory and neurodegenerative aspects of MS pathophysiology have yielded potential targets for future therapeutic options.
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Association of age and disease duration with comorbidities and disability: a study of the Swiss Multiple Sclerosis Registry. Mult Scler Relat Disord 2022; 67:104084. [DOI: 10.1016/j.msard.2022.104084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/06/2022] [Accepted: 07/29/2022] [Indexed: 11/23/2022]
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20
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Cho EB, Yeo Y, Jung JH, Jeong SM, Han K, Yang JH, Shin DW, Min JH. Acute myocardial infarction risk in multiple sclerosis and neuromyelitis optica spectrum disorder: A nationwide cohort study in South Korea. Mult Scler 2022; 28:1849-1858. [PMID: 35695204 DOI: 10.1177/13524585221096964] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The link between neuromyelitis optica spectrum disorder (NMOSD) and cardiovascular disease is currently unclear. OBJECTIVE To determine the acute myocardial infarction (MI) risk in patients with MS and NMOSD. METHODS This study analyzed the Korean National Health Insurance Service database between January 2010 and December 2017. The included patients comprised 1503/1675 adults with MS/NMOSD who had not experienced ischemic heart disease or ischemic stroke at the index date. Matched controls were selected based on age, sex, and the presence of hypertension, diabetes mellitus (DM), and dyslipidemia. RESULTS The risks of developing MI were 2.61 (hazard ratio (HR), 95% confidence interval (CI) 1.73-3.95) and 1.95 (95% CI = 1.18-3.22) times higher in MS and NMOSD compared with the control populations. Patients with NMOSD had a similar MI risk compared with patients with MS, after adjusting for age, sex, income, hypertension, DM, and dyslipidemia (HR = 0.59, 95% CI = 0.34-1.02, p = 0.059). Among each patient group, the MI risk did not differ significantly with age (20-39, 40-64 or ⩾65 years), sex, or the presence of hypertension, DM, or dyslipidemia. CONCLUSION The MI risk increased in MS and NMOSD and seemed to be comparable between NMOSD and MS.
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Affiliation(s)
- Eun Bin Cho
- Department of Neurology, College of Medicine, Gyeongsang Institute of Health Science, Gyeongsang National University, Jinju, South Korea/Department of Neurology, Gyeongsang National University Changwon Hospital, Changwon, South Korea
| | - Yohwan Yeo
- Department of Family Medicine, College of Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, South Korea
| | - Jin-Hyung Jung
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Su-Min Jeong
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Jeong Hoon Yang
- Division of Cardiology, Department of Medicine, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - Dong Wook Shin
- Department of Family Medicine/Supportive Care Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea/Department of Clinical Research Design & Evaluation and Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea/Center for Wireless and Population Health Systems, University of California San Diego, San Diego, CA, USA
| | - Ju-Hong Min
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea/Department of Neurology, Neuroscience Center, Samsung Medical Center, Seoul, South Korea/Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
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21
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Dietary Approaches to Treating Multiple Sclerosis-Related Symptoms. Phys Med Rehabil Clin N Am 2022; 33:605-620. [DOI: 10.1016/j.pmr.2022.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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22
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Huynh T, Jeng B, Motl RW. Physical activity and vascular comorbidity in black and white persons with multiple sclerosis: A cross-sectional study. Disabil Health J 2022; 15:101314. [DOI: 10.1016/j.dhjo.2022.101314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 11/29/2022]
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23
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Diržiuvienė B, Mickevičienė D. Comorbidity in Multiple Sclerosis: Emphasis on Patient-Reported Outcomes. Mult Scler Relat Disord 2022; 59:103558. [DOI: 10.1016/j.msard.2022.103558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 01/12/2022] [Accepted: 01/22/2022] [Indexed: 11/28/2022]
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24
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Frailty and falls in people living with multiple sclerosis. Arch Phys Med Rehabil 2021; 103:952-957. [PMID: 34838587 DOI: 10.1016/j.apmr.2021.10.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/29/2021] [Accepted: 10/28/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To explore the association between frailty and history of falls in people living with multiple sclerosis (MS). DESIGN Secondary analysis. SETTING University research laboratories in the United States and Israel. PARTICIPANTS 118 people with relapsing-remitting MS [age=48.9 years (SD=10.0); 74.6% female; expanded disability status scale (EDSS) range=1.0-6.0] were studied in this cross-sectional analysis. INTERVENTION Not applicable. MAIN OUTCOMES A frailty index was calculated from 40 health deficits by following standard validated procedures. The number of falls (12-month history) was recorded. RESULTS Overall, 33.9%, 29.7%, and 36.4% of participants were classified as non-frail, moderately frail, and severely frail, respectively. The frailty index was significantly correlated (ρ=0.37, p<0.001) with higher scores on the EDSS. In univariable negative binomial regression analysis, the frailty index was associated with a higher number of falls (IRR=3.33, 95%CI[1.85-5.99], p<0.001). After adjustment for age, gender and EDSS, frailty remained strongly associated with history of falls (IRR=2.78, 95%CI[1.51-5.10], p=0.001). CONCLUSION The current study identifies a significant relationship between frailty and history of falls in MS, independent of age, gender, and disease severity. These findings support the notion that frailty is a syndrome related to, but independent of, disability in MS.
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25
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Oh J, Arbour N, Giuliani F, Guenette M, Kolind S, Lynd L, Marrie RA, Metz LM, Patten SB, Prat A, Schabas A, Smyth P, Tam R, Traboulsee A, Yong VW. The Canadian prospective cohort study to understand progression in multiple sclerosis (CanProCo): rationale, aims, and study design. BMC Neurol 2021; 21:418. [PMID: 34706670 PMCID: PMC8549411 DOI: 10.1186/s12883-021-02447-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 10/13/2021] [Indexed: 11/10/2022] Open
Abstract
Background Neurological disability progression occurs across the spectrum of people living with multiple sclerosis (MS). Although there are a handful of disease-modifying treatments approved for use in progressive phenotypes of MS, there are no treatments that substantially modify the course of clinical progression in MS. Characterizing the determinants of clinical progression can inform the development of novel therapeutic agents and treatment approaches that target progression in MS, which is one of the greatest unmet needs in clinical practice. Canada, having one of the world’s highest rates of MS and a publicly-funded health care system, represents an optimal country to achieve in-depth analysis of progression. Accordingly, the overarching aim of the Canadian Prospective Cohort Study to Understand Progression in MS (CanProCo) is to evaluate a wide spectrum of factors associated with the clinical onset and rate of disease progression in MS, and to describe how these factors relate to one another to influence progression. Methods CanProCo is a prospective, observational cohort study with investigators specializing in epidemiology, neuroimaging, neuroimmunology, health services research and health economics. CanProCo’s study design was approved by an international review panel, comprised of content experts and key stakeholders. One thousand individuals with radiologically-isolated syndrome, relapsing-remitting MS, and primary-progressive MS within 10–15 years of disease onset will be recruited from 5 academic MS centres in Canada. Participants will undergo detailed clinical evaluation annually over 5 years (including advanced, app-based clinical data collection). In a subset of participants within 5–10 years of disease onset (n = 500), blood, cerebrospinal fluid, and research MRIs will be collected allowing an integrated, in-depth evaluation of factors contributing to progression in MS from multiple perspectives. Factors of interest range from biological measures (e.g. single-cell RNA-sequencing), MRI-based microstructural assessment, participant characteristics (self-reported, performance-based, clinician-assessed, health-system based), and micro and macro-environmental factors. Discussion Halting the progression of MS remains a fundamental need to improve the lives of people living with MS. Achieving this requires leveraging transdisciplinary approaches to better characterize why clinical progression occurs. CanProCo is a pioneering multi-dimensional cohort study aiming to characterize these determinants to inform the development and implementation of efficacious and effective interventions. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02447-7.
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Affiliation(s)
- Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
| | - Nathalie Arbour
- Department of Neurosciences, Université de Montréal and Centre hospitalier de l'Université de Montréal, 900 rue St. Denis, Montreal, QC, H2X 0A9, Canada
| | - Fabrizio Giuliani
- Division of Neurology, Department of Medicine and Neuroscience and Mental Health Institute, University of Alberta, 11350-83 Avenue, Edmonton, AB, T6G 2G3, Canada
| | - Melanie Guenette
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Shannon Kolind
- Department of Medicine, Division of Neurology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.,Department of Radiology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Larry Lynd
- Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.,Centre for Health Evaluation and Outcome Sciences, Providence Health Research Institute, 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada
| | - Ruth Ann Marrie
- Departments of Internal Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 744 Bannatyne Ave, Winnipeg, MB, R3E 0W2, Canada
| | - Luanne M Metz
- Department of Clinical Neurosciences, University of Calgary Foothills Hospital, 1403-29th Street NW, Calgary, AB, T2N 2T9, Canada
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Alexandre Prat
- Department of Neurosciences, Université de Montréal and Centre hospitalier de l'Université de Montréal, 900 rue St. Denis, Montreal, QC, H2X 0A9, Canada
| | - Alice Schabas
- Department of Medicine, Division of Neurology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Penelope Smyth
- Division of Neurology, Department of Medicine and Neuroscience and Mental Health Institute, University of Alberta, 11350-83 Avenue, Edmonton, AB, T6G 2G3, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.,School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Anthony Traboulsee
- Department of Medicine, Division of Neurology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - V Wee Yong
- Department of Clinical Neurosciences and the Hotchkiss Brain Institute, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
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26
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Fitzgerald KC, Smith MD, Kim S, Sotirchos ES, Kornberg MD, Douglas M, Nourbakhsh B, Graves J, Rattan R, Poisson L, Cerghet M, Mowry EM, Waubant E, Giri S, Calabresi PA, Bhargava P. Multi-omic evaluation of metabolic alterations in multiple sclerosis identifies shifts in aromatic amino acid metabolism. CELL REPORTS MEDICINE 2021; 2:100424. [PMID: 34755135 PMCID: PMC8561319 DOI: 10.1016/j.xcrm.2021.100424] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 08/16/2021] [Accepted: 09/23/2021] [Indexed: 12/13/2022]
Abstract
The circulating metabolome provides unique insights into multiple sclerosis (MS) pathophysiology, but existing studies are relatively small or characterized limited metabolites. We test for differences in the metabolome between people with MS (PwMS; n = 637 samples) and healthy controls (HC; n = 317 samples) and assess the association between metabolomic profiles and disability in PwMS. We then assess whether metabolic differences correlate with changes in cellular gene expression using publicly available scRNA-seq data and whether identified metabolites affect human immune cell function. In PwMS, we identify striking abnormalities in aromatic amino acid (AAA) metabolites (p = 2.77E−18) that are also strongly associated with disability (p = 1.01E−4). Analysis of scRNA-seq data demonstrates altered AAA metabolism in CSF and blood-derived monocyte cell populations in PwMS. Treatment with AAA-derived metabolites in vitro alters monocytic endocytosis and pro-inflammatory cytokine production. We identify shifts in AAA metabolism resulting in the reduced production of immunomodulatory metabolites and increased production of metabotoxins in PwMS. Significant alterations in the circulating metabolome are noted in multiple sclerosis Aromatic amino acid (AAA) metabolite levels are linked to disease severity Expression of AAA metabolism genes is altered in MS blood and CSF immune cells AAA metabolites alter human monocyte cytokine production and endocytosis
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Affiliation(s)
- Kathryn C Fitzgerald
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - Matthew D Smith
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sol Kim
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elias S Sotirchos
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael D Kornberg
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Morgan Douglas
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Bardia Nourbakhsh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jennifer Graves
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ramandeep Rattan
- Department of Neurology, Henry Ford Health System, Wayne State University School of Medicine, Detroit, MI, USA
| | - Laila Poisson
- Department of Neurology, Henry Ford Health System, Wayne State University School of Medicine, Detroit, MI, USA
| | - Mirela Cerghet
- Department of Neurology, Henry Ford Health System, Wayne State University School of Medicine, Detroit, MI, USA
| | - Ellen M Mowry
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - Emmanuelle Waubant
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Shailendra Giri
- Department of Neurology, Henry Ford Health System, Wayne State University School of Medicine, Detroit, MI, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Solomon Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pavan Bhargava
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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27
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Fitzgerald KC, Damian A, Conway D, Mowry EM. Vascular comorbidity is associated with lower brain volumes and lower neuroperformance in a large multiple sclerosis cohort. Mult Scler 2021; 27:1914-1923. [PMID: 33416436 PMCID: PMC8263795 DOI: 10.1177/1352458520984746] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVE The objective of this study is to assess the association between vascular comorbidity burden with clinical and imaging features of disease burden in a large population of people with multiple sclerosis (MS). METHODS We included participants from the MS Partners Advancing Technology Health Solutions (MS PATHS) cohort. We evaluated if vascular comorbidities (diabetes, hypertension, and dyslipidemia) or a composite sum of comorbidities was associated with MS characteristics, including objective neurologic function assessments and quantitative brain magnetic resonance imaging (MRI) measurements in propensity score-weighted models. RESULTS In total, 11,506 participants (6409 (55%) with brain MRI) were included. Individuals with 2+ vascular comorbidities had slower walking speed (standard deviation (SD) = -0.49; 95% confidence interval (CI) = -0.78, -0.19; p = 0.001), slower manual dexterity (SD = -0.41; 95% CI = -0.57, -0.26; p < 0.0001), and fewer correct scores on cognitive processing speed (SD = -0.11; 95% CI = -0.20, -0.02; p = 0.02) versus those with no comorbidities. Those with 2+ had lower brain parenchymal (-0.41%, 95% CI = -0.64, -0.17) and gray matter fractions (-0.30%, 95% CI = -0.49, -0.10), including reduced cortical (-10.10 mL, 95% CI = -15.42, -4.78) and deep (-0.44 mL, 95% CI = -0.84, -0.04) gray matter volumes versus those with no comorbidity. CONCLUSION Increased vascular comorbidity burden was associated with clinical and imaging markers of neurologic dysfunction and neurodegeneration in MS. Strategies to optimize comorbidity management in people with MS are warranted.
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Affiliation(s)
- Kathryn C Fitzgerald
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA/Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anne Damian
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Devon Conway
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, USA
| | - Ellen M Mowry
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA/Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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28
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Parks NE, Andreou P, Marrie RA, Fisk JD, Bhan V, Kirkland SA. Comorbidity and persistence of disease-modifying therapy use in relapsing remitting multiple sclerosis. Mult Scler Relat Disord 2021; 56:103249. [PMID: 34517192 DOI: 10.1016/j.msard.2021.103249] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 07/29/2021] [Accepted: 09/01/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND Comorbidity decreases the likelihood of initiating disease-modifying therapy (DMT) for multiple sclerosis (MS). Our objective was to characterize the relationship between comorbidity and initial DMT persistence along with reasons for DMT discontinuation. METHODS We identified individuals with relapsing remitting MS or clinically isolated syndrome starting a platform DMT (interferon-β, glatiramer acetate, dimethyl fumarate, teriflunomide) as initial therapy in the Canadian province of Nova Scotia from 2001 to 2016. Cases were identified using a clinic database for the only clinic providing specialty MS care in a province with universal publicly-funded health care. Comorbidity was determined by linkage of MS cases to provincial health administrative data using validated case definitions for mental health disorder, hypertension, hyperlipidemia, diabetes, chronic lung disease, ischemic heart disease, epilepsy, and inflammatory bowel disease. Cox proportional hazards models explored the relationship between comorbidity, as a count or individual comorbidities, and time to discontinuation of initial DMT. Logistic regression models explored reasons for DMT discontinuation. RESULTS Among 1464 individuals starting platform therapy as initial DMT, the median duration on first DMT was 4 years (95% CI 4 - 4). Comorbidity count (0, 1, ≥2) was not associated with time to discontinuation of initial DMT. However, the presence of a mental health disorder was associated with an increased hazard of discontinuing DMT (hazard ratio 1.22, 95% CI 1.03-1.44). Comorbidity count was not associated with discontinuation for lack of efficacy or lack of tolerability after adjusting for covariates. CONCLUSION Individuals with mental health comorbidity may have unique challenges that affect persistence on DMT after treatment initiation.
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Affiliation(s)
- Natalie E Parks
- Division of Neurology, Halifax Infirmary, Dalhousie University, 1796 Summer St, Room 3832, Halifax, NS B3H 3A7, Canada; Department of Community Health and Epidemiology, Dalhousie University, 5790 University Ave, Halifax, NS B3H 1V7, Canada.
| | - Pantelis Andreou
- Department of Community Health and Epidemiology, Dalhousie University, 5790 University Ave, Halifax, NS B3H 1V7, Canada
| | - Ruth Ann Marrie
- Department of Internal Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, Health Sciences Centre, University of Manitoba, GF 543-820 Sherbrook St, Winnipeg, MB R3A 1R9, Canada
| | - John D Fisk
- Nova Scotia Health Authority and the Departments of Psychiatry, Psychology and Neuroscience and Medicine, Dalhousie University, 5909 Veterans' Memorial Lane, Halifax, NS B3H 2E2, Canada
| | - Virender Bhan
- Division of Neurology, University of British Columbia, 3935 Kincaid St, Burnaby, BC V5G 2J6, Canada
| | - Susan A Kirkland
- Department of Community Health and Epidemiology, Dalhousie University, 5790 University Ave, Halifax, NS B3H 1V7, Canada
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Cárdenas-Robledo S, Otero-Romero S, Passarell-Bacardit MA, Carbonell-Mirabent P, Sastre-Garriga J, Montalban X, Tintoré M. Multiple sclerosis is associated with higher comorbidity and health care resource use: A population-based, case-control study in a western Mediterranean region. Eur J Neurol 2021; 28:4124-4134. [PMID: 34293826 DOI: 10.1111/ene.15030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 07/19/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE Comorbidities are common in multiple sclerosis (MS), and have been associated with worse outcomes and increased health care resource usage. We studied the frequency of comorbidities and adverse health behaviors (AHBs) in MS patients in the Mediterranean region of Catalonia. METHODS This population-based, case-control study used primary health care information covering 80% of Catalonia's population. Cases were matched by age/sex with randomly chosen controls (ratio = 1:5). Demographic information, comorbidities, AHBs, annual visits, sick leave days, and medication dispensing were studied. The association of comorbidities with MS and the profile of comorbidities according to sex within MS cases were assessed with multivariate logistic regression models, after adjusting for confounding variables. Health care resource usage was analyzed in MS cases compared to controls, and within MS cases in those with compared to those without comorbidities. RESULTS Five thousand five hundred forty-eight MS cases and 27,710 controls (70% female, mean age = 48.3 years) were included. Stroke (odds ratio [OR] = 1.54, 95% confidence interval [CI] = 1.17-1.99), epilepsy (OR = 2.46, 95% CI = 1.94-3.10), bipolar disorder (OR = 1.67, 95% CI = 1.17-2.36), and depression (OR = 1.83, 95% CI = 1.70-1.98) were more frequent in MS. Cases were more prone to smoking but less to alcohol intake. Among cases, psychiatric comorbidities were more frequent in women, whereas cardiovascular diseases and AHBs were more frequent in men. MS patients, particularly with comorbidities, had higher health care resource usage than controls. CONCLUSIONS Psychiatric comorbidities, stroke, epilepsy, and AHBs are more common in MS patients than in the general population in the western Mediterranean region of Catalonia. The presence of comorbidities increases the health care resource usage in MS patients.
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Affiliation(s)
- Simón Cárdenas-Robledo
- Neurology-Neuroimmunology Service, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Department of Neurology, Multiple Sclerosis Center (CEMHUN), Hospital Universitario Nacional de Colombia, Bogotá, Colombia
| | - Susana Otero-Romero
- Neurology-Neuroimmunology Service, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Preventive Medicine and Epidemiology Service, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Maria Angels Passarell-Bacardit
- Atención Primaria / IDIAP Jordi Gol Primary Care Research Institute, Institut Catalá de la Salut, Catalunya Central, Barcelona, Spain
| | - Pere Carbonell-Mirabent
- Neurology-Neuroimmunology Service, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Neurology-Neuroimmunology Service, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Xavier Montalban
- Neurology-Neuroimmunology Service, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Mar Tintoré
- Neurology-Neuroimmunology Service, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
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30
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Singh M, Gavidia R, Dunietz GL, Washnock-Schmid E, Romeo AR, Hershner S, Chervin RD, Braley TJ. Validation of an obstructive sleep apnea symptom inventory in persons with multiple sclerosis. Mult Scler 2021; 28:280-288. [PMID: 34048308 DOI: 10.1177/13524585211013014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS). OBJECTIVES The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS. METHODS STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe). RESULTS Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%. CONCLUSION The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA.
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Affiliation(s)
- Mini Singh
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - Ronald Gavidia
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Galit Levi Dunietz
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Elizabeth Washnock-Schmid
- Division of Multiple Sclerosis and Clinical Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI, USA/VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Andrew R Romeo
- Division of Multiple Sclerosis and Clinical Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI, USA/VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Shelley Hershner
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Ronald D Chervin
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Tiffany J Braley
- Divisions of Multiple Sclerosis, Clinical Neuroimmunology and Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA/Division of Multiple Sclerosis and Clinical Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI, USA/VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
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Boyko A, Therapontos C, Horakova D, Szilasiová J, Kalniņa J, Kolontareva J, Gross-Paju K, Selmaj K, Sereike I, Milo R, Gabelić T, Rot U. Approaches and challenges in the diagnosis and management of secondary progressive multiple sclerosis: A Central Eastern European perspective from healthcare professionals. Mult Scler Relat Disord 2021; 50:102778. [PMID: 33592384 DOI: 10.1016/j.msard.2021.102778] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 01/15/2021] [Accepted: 01/16/2021] [Indexed: 10/22/2022]
Abstract
Secondary progressive multiple sclerosis (SPMS) is a debilitating condition characterized by gradual worsening after an initial relapsing disease course. Despite the recent advances in our understanding of the disease, the diagnosis and treatment of SPMS continue to be challenging in routine clinical practice. The aim of this review article is to present the views of leading MS experts on the challenges in the diagnosis and management of SPMS and clinicians' perspectives in Central and Eastern Europe. This article also provides recommendations of MS experts to improve the situation with diagnosis and management of SPMS. Many countries within Central and Eastern Europe have high prevalence of MS (>100 per 100,000 population). Consistent with the global trend, in the absence of reliable tests or biomarkers, SPMS at early stage remains undiagnosed. Due to diagnostic uncertainty and lack of a universally accepted disease definition, clinicians rely more on retrospective analysis of the clinical symptoms to confirm the diagnosis. With the lack of awareness and poor understanding of the timing of the onset of SPMS, clinicians may tend to direct attention to relapses than the symptoms of progression, which leads to underestimation of SPMS. Although several predictors of progression to SPMS have been identified, their predictive value is highly variable. Therefore, defining the transitioning period as a separate stage of MS is essential. According to experts' opinion, frequent follow-up of patients and periodic assessment of progression are recommended for the timely identification of patients transitioning from RRMS to SPMS. MSProDiscuss Tool is an example of a quick assessment tool for identifying patients progressing from RRMS to SPMS. MS progression is usually assessed by changes in Expanded Disability Status Scale (EDSS) scores. As EDSS scores tend to fluctuate when measured in the short term (3-6 months), a longer period (≥12 months) may be needed to confirm the progression. Assessment of cognitive function is also important for evaluating secondary progression. Compartmentalization of inflammation within the central nervous system is an important reason behind the limited success of disease-modifying therapies (DMTs) for treating SPMS. Most of the DMTs fail to cross the blood-brain barrier; only 38% of the tested DMTs achieved their primary endpoint in SPMS. In Europe, siponimod is the first oral treatment for adults with active SPMS. Particularly, in Central and Eastern Europe, patients with SPMS are still being prescribed less efficacious DMTs and interferons. The absence of alternative treatments in SPMS supports the use of new products (siponimod and others); however the decision to initiate siponimod therapy in more severe patients (EDSS score of 7 or higher) should be individualized in consultation with the payers. The focus should be on early treatment initiation to delay disease progression.
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Affiliation(s)
- Alexey Boyko
- Department of Neurology, Neurosurgery and Medical Genetics, Pirogov's Russian National Research Medical University, Moscow, Russian Federation; Department of Neuropharmacology, Federal Center of Brain and Neurotechnology, Moscow, Russian Federation.
| | | | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine Charles University and General University Hospital in Prague, Czech Republic
| | - Jarmila Szilasiová
- Department of Neurology, Faculty of Medicine, P. J. Safarik University, Kosice, Slovakia
| | - Jolanta Kalniņa
- Centre of Multiple Sclerosis, Latvian Maritime Medicine Centre, Rīga, Latvija
| | | | - Katrin Gross-Paju
- West-Tallinn Central Hospital Centre for Neurological Diseases, Tallinn, Estonia; TalTech, Tallinn, Estonia
| | - Krzysztof Selmaj
- Center for Neurology, Lodz, Poland; Collegium Medicum, Department of Neurology, University of Warmia and Mazury, Olsztyn, Poland
| | - Ieva Sereike
- Centre of Neurology, Vilnius University, Vilnius, Lithuania
| | - Ron Milo
- Department of Neurology, Barzilai Medical Center, Ashkelon, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
| | - Tereza Gabelić
- Department of Neurology, Referral Center for Autonomic Nervous System Disorders, University Hospital Center Zagreb, Zagreb, Croatia; School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Uroš Rot
- Department of Neurology University Medical Center Ljubljana, Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Performance and Self-reported Functioning of People With Chronic Idiopathic Axonal Polyneuropathy: A 4-Year Follow-up Study. Arch Phys Med Rehabil 2020; 101:1946-1952. [DOI: 10.1016/j.apmr.2020.06.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 06/01/2020] [Accepted: 06/22/2020] [Indexed: 11/22/2022]
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Ciampi E, Uribe-San-Martin R, Soler B, Molnar K, Reyes D, Keller K, Carcamo C. Prevalence of comorbidities in Multiple Sclerosis and impact on physical disability according to disease phenotypes. Mult Scler Relat Disord 2020; 46:102565. [PMID: 33039942 DOI: 10.1016/j.msard.2020.102565] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/13/2020] [Accepted: 10/04/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Comorbidities are prevalent among Multiple Sclerosis (MS) patients. Few studies have characterized their prevalence and impact in Latin American populations. OBJECTIVE We aim to assess the prevalence of comorbidities and their impact on the risk of physical disability across different MS phenotypes. METHODS Cross-sectional multicenter study of patients under regular clinical care at the Programa de Esclerosis Múltiple UC and Hospital Dr. Sótero del Río in Chile. Prevalence of comorbidities was estimated from the retrospective assessment of electronic medical charts. Disease phenotypes were categorized into two groups: clinically isolated syndrome/relapsing-remitting (inflammatory group) and primary/secondary progressive MS patients (progressive group). A multivariable analysis using binary logistic regression for assessing the risk of EDSS ≥ 6.0 in each group was performed. RESULTS A total of 453 patients was included, 71% female, mean age at onset 31 years, mean disease duration 10 years, and median EDSS 2.0 (range 0-10). In the whole sample, most prevalent comorbidities were ever-smoking (42.2%), depression/anxiety (34.9%), thyroid disease (15.7%), hypertension (11.3%) and insulin resistance/type 2 diabetes mellitus (11.0%). When assessing the risk of EDSS ≥ 6, in the inflammatory group (N = 366), age at onset (OR 1.06, 95%CI(1.02-1.11), p = 0.008), disease duration (OR 1.06, 95%CI(1.00-1.12), p = 0.039) and epilepsy comorbidity (OR 5.36, 95%CI(1.33-21.5), p = 0.018) were associated with a higher risk of disability. In the progressive group (N = 87), disease duration was a risk factor (OR 1.08 95%CI(1.02-1.16), p = 0.014), while shorter diagnostic delay (OR 0.91 95%CI(0.85-0.99), p = 0.025) and insulin resistance/type 2 diabetes mellitus comorbidity were protective factors (OR 0.18 95%CI(0.04-0.83), p = 0.028), 72% of these patients were receiving metformin. CONCLUSIONS Comorbidities are common across different MS disease phenotypes. Epilepsy seems particularly related with a higher risk of physical disability in relapsing-remitting patients, while the role of insulin resistance/type 2 diabetes mellitus or the impact of metformin use as a protective factor should be further studied. Prospective and larger studies are still needed in order to assess the real impact of comorbidities and their management in MS outcomes.
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Affiliation(s)
- Ethel Ciampi
- Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile; Neurology, Hospital Sotero del Rio, Santiago, Chile; Neurosurgery, Pontificia Universidad Católica de Chile and Hospital Dr. Sótero del Río, Santiago, Chile.
| | - Reinaldo Uribe-San-Martin
- Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile; Neurology, Hospital Sotero del Rio, Santiago, Chile; Neurosurgery, Pontificia Universidad Católica de Chile and Hospital Dr. Sótero del Río, Santiago, Chile
| | - Bernardita Soler
- Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile; Neurology, Hospital Sotero del Rio, Santiago, Chile; Neurosurgery, Pontificia Universidad Católica de Chile and Hospital Dr. Sótero del Río, Santiago, Chile
| | - Karolyn Molnar
- Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile; Neurosurgery, Pontificia Universidad Católica de Chile and Hospital Dr. Sótero del Río, Santiago, Chile
| | - Diego Reyes
- Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile; Neurosurgery, Pontificia Universidad Católica de Chile and Hospital Dr. Sótero del Río, Santiago, Chile
| | - Karina Keller
- Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile; Neurosurgery, Pontificia Universidad Católica de Chile and Hospital Dr. Sótero del Río, Santiago, Chile
| | - Claudia Carcamo
- Neurology, Pontificia Universidad Católica de Chile, Santiago, Chile; Neurosurgery, Pontificia Universidad Católica de Chile and Hospital Dr. Sótero del Río, Santiago, Chile
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Maric GD, Pekmezovic TD, Mesaros ST, Tamas OS, Ivanovic JB, Martinovic VN, Andabaka MM, Jovanovic AL, Veselinovic ND, Kisic-Tepavcevic DB, Drulovic JS. The prevalence of comorbidities in patients with multiple sclerosis: population-based registry data. Neurol Sci 2020; 42:1887-1893. [PMID: 32964347 DOI: 10.1007/s10072-020-04727-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 09/15/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Comorbidities occur frequently in persons with multiple sclerosis (MS). The aim of the present study was to determine the prevalence of the most common comorbidities in the population of MS patients in Belgrade, Serbia. MATERIAL AND METHODS Data on diagnosed and fully documented comorbidities were taken from the Belgrade MS population registry. The list of explored comorbidities included cardiovascular, malignant, and autoimmune diseases; psychiatric disorders; epilepsy; and type 2 diabetes. In the data analysis, crude, age- and gender-specific, and age-adjusted prevalence was calculated. Additionally, comorbidities were analyzed in patients with various MS phenotypes. RESULTS The most prevalent group of comorbidities were psychiatric (prevalence (Prev) = 20.59%, 95% CI 19.10-22.17) and cardiovascular comorbidities (Prev = 15.23%, 95% CI 13.93-16.63). The most prevalent single comorbidities were depression (Prev = 11.82%, 95% CI 10.64-13.11) and hypertension (Prev = 11.41%, 95% CI 10.25-12.68). Type 2 diabetes was significantly more prevalent in patients with primary progressive MS compared with the patients with relapsing-remitting and secondary progressive MS (p < 0.001). We found statistically significant positive correlation between number of comorbidities and progression index (p < 0.001). Patients treated with disease-modifying therapies (DMTs) had significantly higher risk of developing comorbidity, after treatment initiation, compared with those who were untreated (p = 0.001). CONCLUSIONS Our study demonstrated high prevalence of comorbidities in persons with MS, with psychiatric and cardiovascular diseases being the most common. Furthermore, our findings confirmed the association of comorbidities with progression of disability and emphasized their role in treatment decision-making in MS.
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Affiliation(s)
- Gorica D Maric
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Tatjana D Pekmezovic
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Sarlota T Mesaros
- Department of the CNS Immune-Mediated Disorders, Clinic of Neurology, Clinical Center of Serbia, Belgrade, Serbia.,Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Olivera S Tamas
- Department of the CNS Immune-Mediated Disorders, Clinic of Neurology, Clinical Center of Serbia, Belgrade, Serbia
| | - Jovana B Ivanovic
- Department of the CNS Immune-Mediated Disorders, Clinic of Neurology, Clinical Center of Serbia, Belgrade, Serbia
| | - Vanja N Martinovic
- Department of the CNS Immune-Mediated Disorders, Clinic of Neurology, Clinical Center of Serbia, Belgrade, Serbia
| | - Marko M Andabaka
- Institute of Genetics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Aleksa Lj Jovanovic
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Nikola D Veselinovic
- Department of the CNS Immune-Mediated Disorders, Clinic of Neurology, Clinical Center of Serbia, Belgrade, Serbia
| | | | - Jelena S Drulovic
- Department of the CNS Immune-Mediated Disorders, Clinic of Neurology, Clinical Center of Serbia, Belgrade, Serbia. .,Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
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Zhang T, Goodman M, Zhu F, Healy B, Carruthers R, Chitnis T, Weiner H, Cai T, De Jager P, Tremlett H, Xia Z. Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/6/e864. [PMID: 32817202 PMCID: PMC7673286 DOI: 10.1212/nxi.0000000000000864] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 06/17/2020] [Indexed: 12/20/2022]
Abstract
Objective We assessed the comorbidity burden associated with multiple sclerosis (MS) severity by performing a phenome-wide association study (PheWAS). Methods We conducted a PheWAS in 2 independent cohorts: a discovery (Boston, United States; 1993–2014) and extension cohort (British Columbia, Canada; 1991–2008). We included adults with MS, ≥1 Expanded Disability Status Scale (EDSS) score, and ≥1 International Classification of Diseases (ICD) code other than MS. We calculated the Multiple Sclerosis Severity Score (MSSS) using the EDSS. We mapped ICD codes into PheCodes (phenotypes), using a published system with each PheCode representing a unique medical condition. Association between the MSSS and the presence of each condition was assessed using logistic regression adjusted for covariates. Results The discovery and extension cohorts included 3,439 and 4,876 participants, respectively. After Bonferroni correction and covariate adjustments, a higher MSSS was associated with 37 coexisting conditions in the discovery cohort. Subsequently, 16 conditions, including genitourinary, infectious, metabolic, epilepsy, and movement disorders, met the reporting criteria, reaching the Bonferroni threshold of significance with the same direction of effect in the discovery and extension cohort. Notably, benign neoplasm of the skin was inversely associated with the MSSS. Conclusion The phenome-wide approach enabled a systematic interrogation of the comorbidity burden and highlighted clinically relevant medical conditions associated with MS severity (beyond MS-specific consequences) and defines a roadmap for comprehensive investigation of comorbidities in chronic neurologic diseases. Further prospective investigation of the bidirectional relationship between disability and comorbidities could inform the individualized patient management.
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Affiliation(s)
- Tingting Zhang
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Matthew Goodman
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Feng Zhu
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Brian Healy
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Robert Carruthers
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Tanuja Chitnis
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Howard Weiner
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Tianxi Cai
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Philip De Jager
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Helen Tremlett
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA
| | - Zongqi Xia
- From the Department of Health Services (T.Z.), Policy and Practice, Brown University, Providence, RI; Department of Biostatistics (M.G., T. Cai), Harvard T. H. Chan School of Public Health, Boston, MA; Department of Medicine (Neurology) (F.Z., R.C., H.T.), and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada; Department of Neurology (B.H., T. Chitnis, H.W., P.D.J., Z.X.), Brigham and Women's Hospital, Boston, MA; Department of Neurology (P.D.J.), Columbia University, New York, NY; and Department of Neurology (Z.X.), University of Pittsburgh, PA.
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Nelson LM, Bourdette D. Two decades of research: Time to incorporate comorbidity management into the care of MS? Neurology 2020; 95:193-194. [PMID: 32554769 DOI: 10.1212/wnl.0000000000010036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Lorene M Nelson
- From the Department of Epidemiology and Population Health (L.M.N.), Stanford University School of Medicine, CA; and Department of Neurology (D.B.), Oregon Health & Science University, Portland.
| | - Dennis Bourdette
- From the Department of Epidemiology and Population Health (L.M.N.), Stanford University School of Medicine, CA; and Department of Neurology (D.B.), Oregon Health & Science University, Portland
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Kassa RM, Sechi E, Flanagan EP, Kaufmann TJ, Kantarci OH, Weinshenker BG, Mandrekar J, Schmalstieg WF, Paz Soldan MM, Keegan BM. Onset of progressive motor impairment in patients with critical central nervous system demyelinating lesions. Mult Scler 2020; 27:895-902. [PMID: 32667237 DOI: 10.1177/1352458520940983] [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: 11/15/2022]
Abstract
OBJECTIVE To compare progressive motor impairment onset attributable to a "critical" central nervous system (CNS) demyelinating lesion in patients with highly restricted versus unlimited magnetic resonance imaging (MRI) lesion burden. METHODS We identified 135 patients with progressive motor impairment for ⩾1 year attributable to a "critical" demyelinating lesion with: MRI burden of 1 lesion ("progressive solitary sclerosis"), 2-5 lesions ("progressive paucisclerosis"), or unrestricted (>5) lesions and "progressive unilateral hemiparesis." Neuroradiology review of brain and spinal cord MRI documented unequivocally demyelinating lesions. RESULTS A total of 33 (24.4%) patients had progressive solitary sclerosis; 56 (41.5%) patients had progressive paucisclerosis; and 46 (34.1%) patients had progressive unilateral hemiparesis. Median age at onset of progressive motor impairment was younger in progressive solitary sclerosis (49 years; range 24-73) and progressive paucisclerosis (50 years; range 30-64) than in progressive unilateral hemiparesis (54 years; range 39-77; p = 0.02 and p = 0.003, respectively). Within progressive unilateral hemiparesis, motor-progression onset was similar between those with 4-10, 11-20, or >20 brain lesions (55, 54, 53 years of age, respectively; p = 0.44). CONCLUSION Motor-progression age is similar, but paradoxically earlier, in cohorts with highly restricted CNS lesion burden than in those with unrestricted lesion burden with progressive unilateral hemiparetic MS. The "critical" demyelinating lesion rather than total brain MRI lesion burden is the major contributor to motor-progression onset in these cohorts.
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Affiliation(s)
- Roman M Kassa
- Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA/Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Elia Sechi
- Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Eoin P Flanagan
- Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Orhun H Kantarci
- Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian G Weinshenker
- Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Jay Mandrekar
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | | | | | - B Mark Keegan
- Department of Neurology, College of Medicine, Mayo Clinic, Rochester, MN, USA
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39
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Khoury SJ. Progressive Multiple Sclerosis. Ann Neurol 2020; 88:436-437. [DOI: 10.1002/ana.25802] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 06/01/2020] [Indexed: 10/23/2022]
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40
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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.
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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
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Salter A, Kowalec K, Fitzgerald KC, Cutter G, Marrie RA. Comorbidity is associated with disease activity in MS: Findings from the CombiRx trial. Neurology 2020; 95:e446-e456. [PMID: 32554770 DOI: 10.1212/wnl.0000000000010024] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 02/26/2020] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE To determine whether comorbidity is associated with clinical (relapses, disability worsening) and MRI outcomes in multiple sclerosis (MS) by conducting a secondary analysis of the CombiRx clinical trial. METHODS CombiRx compared interferon beta-1a, glatiramer acetate, and the combination of these agents. For participants eligible for evaluation of 6-month confirmed disability worsening, we used medical history, concomitant medications, and adverse events to ascertain comorbidity status. Comorbid conditions evaluated included hypertension, dyslipidemia, diabetes mellitus, depression, anxiety disorders, and migraine. Clinical outcomes included disease activity consisting of protocol-defined relapses, disability worsening, and MRI activity. We summarized the prevalence of these comorbid conditions and their association with disease activity and its components using multivariable Cox regression. RESULTS Of the 1,008 participants randomized, 959 (95.1%) were eligible for assessment of 6-month disability worsening; for this subgroup, the median length of follow-up was 3.4 years (range 0.5-6.9 years). Overall, 55.1% of participants had ≥1 comorbidity at enrollment. After adjustment, anxiety (hazard ratio [HR] 1.25, 95% confidence interval [CI] 1.01-1.55) and dyslipidemia (HR 1.32, 95% CI 1.01-1.72) were associated with an increased hazard of any disease activity, while migraine (HR 0.80, 95% CI 0.67-0.97) was associated with a decreased hazard. CONCLUSIONS In this large trial population with rigorously obtained outcomes, comorbid conditions were common among participants and influenced disease outcomes, including relapses. The comorbidity burden of clinical trial participants with MS may be an important factor in the outcome of clinical trials. Additional investigations of the impact of comorbidity on clinical trial outcomes and response to disease-modifying therapies are warranted.
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Affiliation(s)
- Amber Salter
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health.
| | - Kaarina Kowalec
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
| | - Kathryn C Fitzgerald
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
| | - Gary Cutter
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
| | - Ruth Ann Marrie
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
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Arrambide G, Iacobaeus E, Amato MP, Derfuss T, Vukusic S, Hemmer B, Brundin L, Tintore M. Aggressive multiple sclerosis (2): Treatment. Mult Scler 2020; 26:1352458520924595. [PMID: 32530366 PMCID: PMC7412878 DOI: 10.1177/1352458520924595] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/18/2020] [Accepted: 04/16/2020] [Indexed: 01/04/2023]
Abstract
The natural history of multiple sclerosis (MS) is highly heterogeneous. A subgroup of patients has what might be termed aggressive MS. These patients may have frequent, severe relapses with incomplete recovery and are at risk of developing greater and permanent disability at the earlier stages of the disease. Their therapeutic window of opportunity may be narrow, and while it is generally considered that they will benefit from starting early with a highly efficacious treatment, a unified definition of aggressive MS does not exist and data on its treatment are largely lacking. Based on discussions at an international focused workshop sponsored by the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), we review our current knowledge about treatment of individuals with aggressive MS. We analyse the available evidence, identify gaps in knowledge and suggest future research needed to fill those gaps. A companion paper details the difficulties in developing a consensus about what defines aggressive MS.
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Affiliation(s)
- Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ellen Iacobaeus
- Division of Neurology, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Maria Pia Amato
- Department NEUROFARBA, University of Florence, Florence, Italy/IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Tobias Derfuss
- Departments of Neurology and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sandra Vukusic
- Service de neurologie, sclérose en plaques, pathologies de la myéline et neuro-inflammation, and Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France/Centre des Neurosciences de Lyon, Observatoire Français de la Sclérose en Plaques, INSERM 1028 et CNRS UMR5292, Lyon, France/Faculté de médecine Lyon Est, Université Claude Bernard Lyon 1, Lyon, France
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Lou Brundin
- Division of Neurology, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Mar Tintore
- Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
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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.
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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
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Al-Sakran L, Marrie RA, Blackburn D, Knox K, Evans C. Impact of comorbidity on hospitalizations in individuals newly diagnosed with multiple sclerosis: A longitudinal population-based study. Mult Scler Relat Disord 2020; 40:101955. [DOI: 10.1016/j.msard.2020.101955] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 01/15/2020] [Accepted: 01/16/2020] [Indexed: 01/29/2023]
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Diagnostic and therapeutic issues of inflammatory diseases of the elderly. Rev Neurol (Paris) 2020; 176:739-749. [PMID: 32312496 DOI: 10.1016/j.neurol.2020.03.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/05/2020] [Accepted: 03/06/2020] [Indexed: 11/24/2022]
Abstract
Inflammatory diseases of the central nervous system (CNS) mainly occur during early adulthood and multiple sclerosis (MS) represents the overwhelming majority of these disorders. Nevertheless, MS only rarely begins after 50 years and a diagnosis of late-onset MS should only be done when clinical as well as radiological and biological findings are typical of MS since the probability of misdiagnosis is higher in elderly patients. Indeed, in patients aged over 50 years, along with a relative decrease of MS incidence, other inflammatory diseases of the CNS but also differential diagnoses including neoplastic as well as infectious disorders should be thoroughly searched to avoid diagnostic mistakes and the prescription of inadequate and potentially harmful immunomodulatory/immunosuppressive therapies. Moreover, aging is associated with diverse immune changes also known as immunosenescence resulting in, notably, higher risk of comorbidities (including vascular diseases) and infections which need to be considered when planning medical treatments of elderly patients with inflammatory diseases of the CNS. Herein, therapeutic and diagnostic challenges faced by neurologists are reviewed to ease patient management.
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Treatment Optimization in Multiple Sclerosis: Canadian MS Working Group Recommendations. Can J Neurol Sci 2020; 47:437-455. [DOI: 10.1017/cjn.2020.66] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Abstract:The Canadian Multiple Sclerosis Working Group has updated its treatment optimization recommendations (TORs) on the optimal use of disease-modifying therapies for patients with all forms of multiple sclerosis (MS). Recommendations provide guidance on initiating effective treatment early in the course of disease, monitoring response to therapy, and modifying or switching therapies to optimize disease control. The current TORs also address the treatment of pediatric MS, progressive MS and the identification and treatment of aggressive forms of the disease. Newer therapies offer improved efficacy, but also have potential safety concerns that must be adequately balanced, notably when treatment sequencing is considered. There are added discussions regarding the management of pregnancy, the future potential of biomarkers and consideration as to when it may be prudent to stop therapy. These TORs are meant to be used and interpreted by all neurologists with a special interest in the management of MS.
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Rotstein D, Montalban X. Reaching an evidence-based prognosis for personalized treatment of multiple sclerosis. Nat Rev Neurol 2020; 15:287-300. [PMID: 30940920 DOI: 10.1038/s41582-019-0170-8] [Citation(s) in RCA: 161] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Personalized treatment is ideal for multiple sclerosis (MS) owing to the heterogeneity of clinical features, but current knowledge gaps, including validation of biomarkers and treatment algorithms, limit practical implementation. The contemporary approach to personalized MS therapy depends on evidence-based prognostication, an initial treatment choice and evaluation of early treatment responses to identify the need to switch therapy. Prognostication is directed by baseline clinical, environmental and demographic factors, MRI measures and biomarkers that correlate with long-term disability measures. The initial treatment choice should be a shared decision between the patient and physician. In addition to prognosis, this choice must account for patient-related factors, including comorbidities, pregnancy planning, preferences of the patients and their comfort with risk, and drug-related factors, including safety, cost and implications for treatment sequencing. Treatment response has traditionally been assessed on the basis of relapse rate, MRI lesions and disability progression. Larger longitudinal data sets have enabled development of composite outcome measures and more stringent standards for disease control. Biomarkers, including neurofilament light chain, have potential as early surrogate markers of prognosis and treatment response but require further validation. Overall, attainment of personalized treatment for MS is complex but will be refined as new data become available.
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Affiliation(s)
- Dalia Rotstein
- Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Xavier Montalban
- Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada. .,Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain.
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Abstract
PURPOSE OF REVIEW This article discusses the prevalence, identification, and management of multiple sclerosis (MS)-related symptoms and associated comorbidities, including complications that can present at all stages of the disease course. RECENT FINDINGS The impact of comorbidities on the outcome of MS is increasingly recognized. This presents an opportunity to impact the course and outcome of MS by identifying and treating associated comorbidities that may be more amenable to treatment than the underlying inflammatory and neurodegenerative disease. The identification of MS-related symptoms and comorbidities is facilitated by brief screening tools, ideally completed by the patient and automatically entered into the patient record, with therapeutic suggestions for the provider. The development of free, open-source screening tools that can be integrated with electronic health records provides opportunities to identify and treat MS-related symptoms and comorbidities at an early stage. SUMMARY Identification and management of MS-related symptoms and comorbidities can lead to improved outcomes, improved quality of life, and reduced disease activity. The use of brief patient-reported screening tools at or before the point of care can facilitate identification of symptoms and comorbidities that may be amenable to intervention.
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Functional Electrical Stimulation Cycling Exercise for People with Multiple Sclerosis. Curr Treat Options Neurol 2019; 21:54. [PMID: 31705304 DOI: 10.1007/s11940-019-0597-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
PURPOSE OF REVIEW There has been substantial interest in the role of exercise for managing impairments, limitations, and disability progression among persons with multiple sclerosis (MS). Despite established benefits of exercise training for persons who have mild-to-moderate MS, the ability to deliver exercise to persons who experience higher disability remains challenging. One promising approach for exercise in this population is functional electrical stimulation (FES) cycling. This review provides a summary of the current evidence for FES cycling as an exercise training modality in persons with MS with respect to prescription, safety, tolerability, and acute and chronic effects. RECENT FINDINGS We searched the literature for studies involving FES cycling exercise in persons with MS published in English up until July 2019. Eight studies were retrieved: two studies examined acute effects, two studies examined chronic effects, and four studies reported on both acute and chronic effects of FES cycling exercise. The overall quality of the studies was low, with only one, small, randomized controlled trial (RCT). There is limited but promising evidence for the application of FES cycling exercise among persons with MS who have moderate-to-severe disability. Participants were capable of engaging in regular FES cycling exercise (~ 30 min, 2-3×/week), with few, mild adverse events experienced. Preliminary evidence from small, mostly uncontrolled trials supports the potential benefits of FES cycling on physiological fitness, walking mobility, and symptoms of fatigue and pain. High-quality RCTs of FES cycling exercise are necessary for providing recommendations for integrating exercise training in the management of advanced MS.
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Theodoropoulou E, Alfredsson L, Piehl F, Marabita F, Jagodic M. Different epigenetic clocks reflect distinct pathophysiological features of multiple sclerosis. Epigenomics 2019; 11:1429-1439. [PMID: 31592692 DOI: 10.2217/epi-2019-0102] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: Accumulating evidence links epigenetic age to diseases and age-related conditions, but little is known about its association with multiple sclerosis (MS). Materials & methods: We estimated epigenetic age acceleration measures using DNA methylation from blood or sorted cells of MS patients and controls. Results: In blood, sex (p = 4.39E-05) and MS (p = 2.99E-03) explained the variation in age acceleration, and isolated blood cell types showed different epigenetic age. Intrinsic epigenetic age acceleration and extrinsic epigenetic age acceleration were only associated with sex (p = 2.52E-03 and p = 1.58E-04, respectively), while PhenoAge Acceleration displayed positive association with MS (p = 3.40E-02). Conclusion: Different age acceleration measures are distinctly influenced by phenotypic factors, and they might measure separate pathophysiological aspects of MS. Data deposition: DNA methylation data can be accessed at Gene Expression Omnibus database under accession number GSE35069, GSE43976, GSE106648, GSE130029, GSE130030.
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Affiliation(s)
- Eleftheria Theodoropoulou
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden.,Science for Life Laboratory, Department of Environmental Sciences and Analytical Chemistry, Stockholm University, 114 18, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Francesco Marabita
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden.,Department of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Maja Jagodic
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, 171 76 Stockholm, Sweden
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