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Gonçalves R, De Decker S, Walmsley G, Maddox TW. Prognosis in meningoencephalitis of unknown origin in dogs: Risk factors associated with survival, clinical relapse, and long-term disability. J Vet Intern Med 2024; 38:1583-1590. [PMID: 38483069 PMCID: PMC11099754 DOI: 10.1111/jvim.17037] [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: 09/13/2023] [Accepted: 02/26/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Meningoencephalitis of unknown origin (MUO) comprises a group of noninfectious inflammatory diseases affecting the central nervous system of dogs. Previous studies have reported individual risk factors for survival but prognostication for MUO remains challenging. OBJECTIVES Identify clinical prognostic variables in dogs with MUO. ANIMALS A retrospective study of 447 dogs presented to 2 UK referral hospitals and diagnosed with MUO. METHODS Medical records of dogs diagnosed with MUO were retrospectively reviewed. Multivariable logistic regression was used for the identification of risk factors for survival and Cox proportional hazards analysis for the identification of risk factors for clinical relapse. RESULTS Eighty-two percent (366/447) of dogs with presumptive MUO survived to discharge and 63.5% (284/447) were alive at 6 months; 36% of the latter (103/284) had persistent neurological deficits. Breed (pugs; P = .03), epileptic seizures (P < .001), paresis (P < .001), and higher neurodisability scale (NDS) score (P < .001) at presentation were negatively associated with survival to 6 months. Dogs with persistent deficits had higher NDS scores on presentation (P = .001). Median follow-up time was 11 months (interquartile range [IQR], 1-24) and 50.6% (160/316) relapsed during treatment (median time to relapse, 7 months; IQR, 2-15). Incomplete resolution of the clinical signs during the 6 months after diagnosis (P < .001), higher NDS score (P < .001), and longer duration of the clinical signs (P < .001) were associated with relapse. CONCLUSIONS AND CLINICAL IMPORTANCE Knowledge of risk factors associated with survival, incomplete recovery and clinical relapse in MUO can help guide monitoring and treatment and improve owner communications regarding prognosis for this debilitating disease.
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Affiliation(s)
- Rita Gonçalves
- Department of Veterinary ScienceSmall Animal Teaching Hospital, University of LiverpoolNestonUK
- Department of Musculoskeletal and Ageing ScienceInstitute of Lifecourse and Medical Sciences, University of LiverpoolNestonUK
| | - Steven De Decker
- Department of Clinical Science and ServicesRoyal Veterinary College, University of LondonHatfieldUK
| | - Gemma Walmsley
- Department of Veterinary ScienceSmall Animal Teaching Hospital, University of LiverpoolNestonUK
- Department of Musculoskeletal and Ageing ScienceInstitute of Lifecourse and Medical Sciences, University of LiverpoolNestonUK
| | - Thomas W. Maddox
- Department of Veterinary ScienceSmall Animal Teaching Hospital, University of LiverpoolNestonUK
- Department of Musculoskeletal and Ageing ScienceInstitute of Lifecourse and Medical Sciences, University of LiverpoolNestonUK
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Ghiasian M, Bawand R, Jabarzadeh S, Moradi A. Predictive factors and treatment challenges in malignant progression of relapsing-remitting multiple sclerosis. Heliyon 2024; 10:e26658. [PMID: 38420491 PMCID: PMC10900812 DOI: 10.1016/j.heliyon.2024.e26658] [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: 06/12/2023] [Revised: 01/25/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024] Open
Abstract
Objective Our objective was to uncover the predictive factors that can help anticipate the malignant progression of individuals with Relapsing-Remitting Multiple Sclerosis (RRMS). Additionally, we sought to analyze and compare the response to treatment between patients with benign and malignant forms of RRMS. Methods This cohort study included RRMS patients categorized as benign (≥10 years since disease onset, Expanded Disability Status Scale (EDSS) ≤ 1) or malignant (≤5 years since disease onset, EDSS ≥6). Patients' data, including demographics, medical history, treatment, and MRI (Magnetic Resonance Imaging) scans, were collected and statistically analyzed. Results Among the 254 patients diagnosed with RRMS, 174 were found to have benign RRMS, while the remaining 80 were diagnosed with malignant RRMS. Notably, patients with malignant RRMS exhibited a significantly higher mean age of onset (32.00 ± 7.96 vs. 25.70 ± 17.19; P < 0.001) and a greater prevalence of males (40% vs. 18.4%; P = 0.014). Additionally, within the initial five years of diagnosis, patients with malignant RRMS experienced a higher number of relapses (median: 4 vs. 2; P < 0.001) and hospitalizations (median: 2 vs. 1; P = 0.006) compared to those with benign RRMS. Clinical presentations of malignant RRMS were predominantly characterized by multifocal attacks, whereas unifocal attacks were more prevalent in patients with benign RRMS. MRI scans revealed that malignant RRMS patients displayed a higher burden of plaques in the infratentorial and cord regions, as well as a greater number of black hole lesions. Conversely, benign RRMS patients exhibited a higher number of Gadolinium-enhanced lesions. Utilizing Disease-Modifying Therapies (DMTs) with an escalating approach has shown effectiveness in managing benign RRMS. However, it has proven insufficient in addressing malignant RRMS, resulting in frequent transitions to higher-line DMTs. As a result, it places a considerable burden on patients with malignant RRMS, consuming valuable time and resources, and ultimately yielding subpar outcomes. Conclusion Our study identifies prognostic factors for malignant progression in RRMS, including older age of onset, male gender, increased relapses and hospitalizations, multifocal attacks, higher plaque load, and black hole lesions. The current escalation strategy for DMTs is insufficient for managing malignant RRMS, requiring alternative approaches for improved outcomes. In other words, MS is a spectrum rather than a single disease, and some patients progress to a malignant phenotype of MS that is not effectively treated by the current approach.
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Affiliation(s)
- Masoud Ghiasian
- Department of Neuroimmunology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Rashed Bawand
- Department of General Medicine, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Sulmaz Jabarzadeh
- Department of Neurology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Abbas Moradi
- Department of Social Medicine, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
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Wei R, Xu X, Duan Y, Zhang N, Sun J, Li H, Li Y, Li Y, Zeng C, Han X, Zhou F, Huang M, Li R, Zhuo Z, Barkhof F, H Cole J, Liu Y. Brain age gap in neuromyelitis optica spectrum disorders and multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94:31-37. [PMID: 36216455 DOI: 10.1136/jnnp-2022-329680] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/12/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To evaluate the clinical significance of deep learning-derived brain age prediction in neuromyelitis optica spectrum disorder (NMOSD) relative to relapsing-remitting multiple sclerosis (RRMS). METHODS This cohort study used data retrospectively collected from 6 tertiary neurological centres in China between 2009 and 2018. In total, 199 patients with NMOSD and 200 patients with RRMS were studied alongside 269 healthy controls. Clinical follow-up was available in 85 patients with NMOSD and 124 patients with RRMS (mean duration NMOSD=5.8±1.9 (1.9-9.9) years, RRMS=5.2±1.7 (1.5-9.2) years). Deep learning was used to learn 'brain age' from MRI scans in the healthy controls and estimate the brain age gap (BAG) in patients. RESULTS A significantly higher BAG was found in the NMOSD (5.4±8.2 years) and RRMS (13.0±14.7 years) groups compared with healthy controls. A higher baseline disability score and advanced brain volume loss were associated with increased BAG in both patient groups. A longer disease duration was associated with increased BAG in RRMS. BAG significantly predicted Expanded Disability Status Scale worsening in patients with NMOSD and RRMS. CONCLUSIONS There is a clear BAG in NMOSD, although smaller than in RRMS. The BAG is a clinically relevant MRI marker in NMOSD and RRMS.
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Affiliation(s)
- Ren Wei
- Department of Radiology, Beijing Tiantan Hospital, Beijing, China
| | - Xiaolu Xu
- Department of Radiology, Beijing Tiantan Hospital, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Beijing, China
| | - Ningnannan Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Jie Sun
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Haiqing Li
- Department of Radiology, Huashan Hospital Fudan University, Shanghai, China
| | - Yuxin Li
- Department of Radiology, Huashan Hospital Fudan University, Shanghai, China
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chun Zeng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xuemei Han
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Muhua Huang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Runzhi Li
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Beijing, China
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Centre Amsterdam, Amsterdam, The Netherlands
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - James H Cole
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Beijing, China
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Application of definitions for conversion to secondary progressive MS in a Danish nationwide population. Mult Scler Relat Disord 2021; 56:103319. [PMID: 34666241 DOI: 10.1016/j.msard.2021.103319] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/29/2021] [Accepted: 10/08/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND The number of patients with relapsing remitting multiple sclerosis (RRMS) who convert to secondary progressive (SP) MS is uncertain, and with emerging treatment options for SPMS, it is important to identify RRMS patients in transition to the SP phase. The objective of the present study was to characterize clinical parameters and use of disease modifying therapies in patients diagnosed with SPMS and RRMS patients already entered the SP phase by use of the Danish Multiple Sclerosis Registry (DMSR). METHODS We used a cross-sectional design, including all living patients with MS as of June 30, 2020 from DMSR. First, we applied the MSBase definition of SPMS on all RRMS patients. Second, we applied the slightly modified inclusion criteria from the EXPAND clinical trial on patients with clinically confirmed SPMS and patients with RRMS fulfilling the MSBase definition of SPMS to identify SPMS patients recently progressed who may benefit from treatment with disease modifying therapy. We compared clinical characteristics and disease-modifying therapy use in the different patient groups. RESULTS Among patients with clinically confirmed SPMS, application of a slightly modified EXPAND trial inclusion criteria for SPMS (m-EXPAND) captured patients who had converted to SPMS more recently and who had relapsed and initiated high-efficacy treatment more frequently. Moreover, our RRMS patients fulfilling the "SPMS"-criteria according to MSBase and recently progression according to m-EXPAND had similar characteristics and remarkably resembled the SPMS population in the EXPAND trial. CONCLUSION Our results indicate that data-driven diagnostic definitions might help identify RRMS patients at risk for SPMS and we highlight the challenges and reluctance in diagnosing SPMS in clinical practice.
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Barzegar M, Najdaghi S, Afshari-Safavi A, Nehzat N, Mirmosayyeb O, Shaygannejad V. Early predictors of conversion to secondary progressive multiple sclerosis. Mult Scler Relat Disord 2021; 54:103115. [PMID: 34216997 DOI: 10.1016/j.msard.2021.103115] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/10/2021] [Accepted: 06/22/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND We conducted this study to estimated the time of conversion from relapsing-remitting MS (RRMS) to SPMS and its early predictor factors. METHODS In this retrospective study, demographic, clinical, and imaging data from MS patients at diagnosis were extracted. Cox proportional hazards model was used to assess the association between various baseline characteristics and conversion to SPMS. We also assessed the association brtween escalation and early intensive therapy approaches with transition to progressive phase. RESULTS Out of 1903 patients with RRMS at baseline, 293 (15.4%) patients progressed to SPMS during follow-up. The estimated number of patients converted to SPMS was 10% at 10-years, 50% at 20-years, and 93% at 30-years. On multivariate Cox regression analysis older age at onset (HR: 1.067, 95%CI: 1.048-1.085, p < 0.001), smoking (HR: 2.120, 95%CI: 1.203-3.736, p = 0.009), higher EDSS at onset (HR: 1.199, 95%CI: 1.109-1.295, p < 0.001), motor dysfunction (HR: 2.470, 95%CI: 1.605-3.800, p < 0.001), cerebellar dysfunction (HR: 3.096, 95%CI: 1.840-5.211, p < 0.001), and presence of lesions in spinal cord (HR: 0.573, 95%CI: 0.297-0.989, p = 0.042) increased the risk of conversion from RRMS to SPMS. No significant difference between escalation and EIT groups in the risk of transition to progressive phase (weighted HR = 1.438; 95% CI: 0.963, 2.147; p = 0.076) was found. CONCLUSION Our data support previous observations that smoking is a modifiable risk factor for secondary progressive MS and confirms that spinal cord involvement, age, and more severe disease at onset are prognostic factors for converting to secondary progressive MS.
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Affiliation(s)
- Mahdi Barzegar
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Soroush Najdaghi
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Afshari-Safavi
- Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Biostatistics and Epidemiology, Faculty of Health, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Nasim Nehzat
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Omid Mirmosayyeb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran.
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Kara F, Göl MF, Boz C. Determinants of disability development in patients with multiple sclerosis. ARQUIVOS DE NEURO-PSIQUIATRIA 2021; 79:489-496. [PMID: 34320054 DOI: 10.1590/0004-282x-anp-2020-0338] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/07/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) is one of the most common chronic neurological diseases affecting the central nervous system in young adults. OBJECTIVE To investigate demographic and clinical factors that are effective in the development of irreversible disability from the onset of MS, and to identify factors that affect the transformation from the relapse-remitting MS (RRMS) phase to the progressive MS (PMS) phase. METHODS Retrospective study on 741 patients who were diagnosed with RRMS and PMS according to the McDonald criteria, and were enrolled into the Turkish MS database of the Department of Neurology MS Polyclinic, at the Faculty of Medicine, Karadeniz Technical University, in Trabzon, Turkey. Kaplan-Meier analysis was used to evaluate the time taken to reach EDSS 4 and EDSS 6 from the onset of disease, and the time taken between EDSS 4 and EDSS 6. RESULTS Age of onset >40 years; having polysymptomatic-type onset, pyramidal or bladder-intestinal system-related first episode; ≥7 episodes in the first 5 years; and <2 years between the first two episodes were found to be effective for MS patients to reach EDSS 4 and EDSS 6. The demographic and clinical parameters that were effective for progression from EDSS 4 to EDSS 6 were: pyramidal or bladder-intestinal system-related first episode; 4‒6 episodes in the first 5 years; >2 years until start of first treatment; and smoking. CONCLUSIONS Our findings reveal important characteristics of MS patients in our region. However, the associations between these parameters and MS pathophysiology remain to be elucidated.
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Affiliation(s)
- Fatma Kara
- Karadeniz Technical University, Faculty of Medicine, Department of Neurology, Trabzon, Turkey
| | - Mehmet Fatih Göl
- Karadeniz Technical University, Faculty of Medicine, Department of Neurology, Trabzon, Turkey
| | - Cavit Boz
- Karadeniz Technical University, Faculty of Medicine, Department of Neurology, Trabzon, Turkey
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Pérez Sánchez S, Eichau Madueño S, Rus Hidalgo M, Domínguez Mayoral A, Vilches-Arenas A, Navarro Mascarell G, Izquierdo G. Usefulness of optic nerve ultrasound to predict clinical progression in multiple sclerosis. NEUROLOGÍA (ENGLISH EDITION) 2021. [DOI: 10.1016/j.nrleng.2017.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Horáková D, Boster A, Bertolotto A, Freedman MS, Firmino I, Cavalier SJ, Jacobs AK, Thangavelu K, Daizadeh N, Poole EM, Baker DP, Margolin DH, Ziemssen T. Proportion of alemtuzumab-treated patients converting from relapsing-remitting multiple sclerosis to secondary progressive multiple sclerosis over 6 years. Mult Scler J Exp Transl Clin 2021; 6:2055217320972137. [PMID: 33414927 PMCID: PMC7750777 DOI: 10.1177/2055217320972137] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 10/19/2020] [Indexed: 11/17/2022] Open
Abstract
Background Few data exist concerning conversion to secondary progressive MS in patients treated with disease-modifying therapies. Objective Determine the proportion of alemtuzumab-treated patients converting from relapsing-remitting to secondary progressive MS during the CARE-MS core and extension studies. Methods Patients (N = 811) were analyzed post hoc for secondary progressive MS conversion. Optimal conversion definition: Expanded Disability Status Scale (EDSS) score ≥4, pyramidal functional system score ≥2, and confirmed progression over ≥3 months including confirmation within the functional system leading to progression, independent of relapse. Results Over 6.2 years median follow-up, 20 alemtuzumab-treated patients converted (Kaplan-Meier estimate, 2.7%; 95% confidence interval, 1.8%-4.2%). Sensitivity analysis accounting for dropouts showed similar results (3%), as did analyses using alternative definitions with different EDSS thresholds and/or confirmation periods, and analysis of core study subcutaneous interferon beta-1a-treated patients who received alemtuzumab in the extension. Patients converting to secondary progressive MS were older, and had higher EDSS scores and greater brain lesion volumes at baseline, but did not need additional alemtuzumab or other therapies. Conclusions The 6-year conversion rate to secondary progressive MS was low for alemtuzumab-treated patients, supporting further study of the role alemtuzumab may play in reducing risk of secondary progression.ClinicalTrials.gov identifiers: NCT00530348, NCT00548405, NCT00930553.
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Affiliation(s)
- Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Aaron Boster
- The Boster Center for Multiple Sclerosis, Columbus, USA
| | | | - Mark S Freedman
- University of Ottawa and the Ottawa Hospital Research Institute, Ottawa, Canada
| | | | | | | | | | | | | | | | | | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, Dresden, Germany Employees of Sanofi during study conduct and analysis
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Iaffaldano P, Lucisano G, Patti F, Brescia Morra V, De Luca G, Lugaresi A, Zaffaroni M, Inglese M, Salemi G, Cocco E, Conte A, Ferraro D, Galgani S, Bergamaschi R, Pozzilli C, Salvetti M, Lus G, Rovaris M, Maniscalco GT, Logullo FO, Paolicelli D, Achille M, Marrazzo G, Lovato V, Comi G, Filippi M, Amato MP, Trojano M. Transition to secondary progression in relapsing-onset multiple sclerosis: Definitions and risk factors. Mult Scler 2020; 27:430-438. [PMID: 33210986 DOI: 10.1177/1352458520974366] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND No uniform criteria for a sensitive identification of the transition from relapsing-remitting multiple sclerosis (MS) to secondary-progressive multiple sclerosis (SPMS) are available. OBJECTIVE To compare risk factors of SPMS using two definitions: one based on the neurologist judgment (ND) and an objective data-driven algorithm (DDA). METHODS Relapsing-onset MS patients (n = 19,318) were extracted from the Italian MS Registry. Risk factors for SPMS and for reaching irreversible Expanded Disability Status Scale (EDSS) 6.0, after SP transition, were estimated using multivariable Cox regression models. RESULTS SPMS identified by the DDA (n = 2343, 12.1%) were older, more disabled and with a faster progression to severe disability (p < 0.0001), than those identified by the ND (n = 3868, 20.0%). In both groups, the most consistent risk factors (p < 0.05) for SPMS were a multifocal onset, an age at onset >40 years, higher baseline EDSS score and a higher number of relapses; the most consistent protective factor was the disease-modifying therapy (DMT) exposure. DMT exposure during SP did not impact the risk of reaching irreversible EDSS 6.0. CONCLUSION A DDA definition of SPMS identifies more aggressive progressive patients. DMT exposure reduces the risk of SPMS conversion, but it does not prevent the disability accumulation after the SP transition.
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Affiliation(s)
- Pietro Iaffaldano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - Giuseppe Lucisano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy/Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy
| | - Francesco Patti
- Dipartimento di Scienze Mediche e Chirurgiche e Tecnologie Avanzate, GF Ingrassia, Sez. Neuroscienze, Centro Sclerosi Multipla, Università di Catania, Catania, Italy
| | - Vincenzo Brescia Morra
- Multiple Sclerosis Clinical Care and Research Center, Department of Neuroscience (NSRO), Federico II University, Naples, Italy
| | - Giovanna De Luca
- Centro Sclerosi Multipla, Clinica Neurologica, Policlinico SS Annunziata, Università G. D'Annunzio, Chieti, Italy
| | - Alessandra Lugaresi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Riabilitazione Sclerosi Multipla, Bologna, Italy/Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Mauro Zaffaroni
- Multiple Sclerosis Center, S.Antonio Abate Hospital, Gallarate, Italy
| | - Matilde Inglese
- Dipartimento Di Neuroscienze, Riabilitazione, Oftalmologia, Genetica E Scienze Materno-Infantili (DINOGMI), Genova, Italy/Ospedale Policlinico San Martino, IRCCS, Genova, Italy
| | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Eleonora Cocco
- Department Medical Science and Public health, University of Cagliari/ Centro Sclerosi Multipla, ATS Sardegna, Cagliari, Italy
| | - Antonella Conte
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy/IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy
| | - Diana Ferraro
- Department of Neurosciences, Neurology Unit, University of Modena and Reggio Emilia, Nuovo Ospedale Civile S. Agostino/Estense, Modena, Italy
| | - Simonetta Galgani
- Centro Sclerosi Multipla-Azienda Ospedaliera S. Camillo Forlanini, Rome, Italy
| | | | - Carlo Pozzilli
- Multiple Sclerosis Center, S.Andrea Hospital, Dept. of Human Neuroscience, Sapienza University, Rome, Italy
| | - Marco Salvetti
- IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy/CENTERS Centro Neurologico Terapie Sperimentali-Sapienza University, S.Andrea Hospital, Rome, Italy
| | - Giacomo Lus
- Multiple Sclerosis Center, II Division of Neurology, Department of Clinical and Experimental Medicine, Second University of Naples, Caserta, Italy
| | - Marco Rovaris
- Multiple Sclerosis Center, IRCCS Fondazione don Carlo Gnocchi ONLUS, Milan, Italy
| | | | | | - Damiano Paolicelli
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | - Mariaclara Achille
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
| | | | | | - Giancarlo Comi
- Department of Neurology, Vita-Salute San Raffaele University, San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Department of Neurology, Vita-Salute San Raffaele University, San Raffaele Scientific Institute, Milan, Italy
| | - Maria Pia Amato
- Department of Neurofarba, University of Florence, Florence, Italy/IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Maria Trojano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro," Bari, Italy
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Cognitive Event-Related Potentials-The P300 Wave Is a Prognostic Factor of Long-Term Disability Progression in Patients With Multiple Sclerosis. J Clin Neurophysiol 2020; 39:390-396. [PMID: 33031128 DOI: 10.1097/wnp.0000000000000788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Multiple sclerosis (MS) is a chronic disorder with a variable course. The aim of our study was to find out whether cognitive event-related potentials are prognostic for patient disability at the 15-year follow-up. METHODS In the observed cohort of patients with MS, we examined the event-related potentials at baseline (2003). Functional status (Expanded Disability Status Scale score) was then assessed 15 years later, and the prognostic model was developed using binary logistic regression analysis. The independent variables included demographic (age, sex, and education), clinical (disability in 2003), radiologic (MRI lesion load), and event-related potentials parameters. The prognostic accuracy of the proposed model was evaluated by calculating the area under the receiver-operating characteristics curve. RESULTS The study sample consisted of 85 patients with MS. The mean age was 35.5 (SD, 11.2) years, and the median disability score was 3.0 (1-7) in 2003 and 5.0 (1.5-9.5) in 2018. The significant prognostic factors of poor Expanded Disability Status Scale are higher baseline Expanded Disability Status Scale, longer MS duration, and prolonged P300 latency. The sensitivity and specificity of the cutoff at 5.0 for the disability score were 94% and 89%, respectively, with the area under the receiver-operating characteristics curve 0.94 (95% confidence interval, 0.889-0.984; P < 0.001). CONCLUSIONS The results show that out of event-related potentials, the P300 wave latency is a prognostic of long-term disability progression in patients with MS.
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Le M, Malpas C, Sharmin S, Horáková D, Havrdova E, Trojano M, Izquierdo G, Eichau S, Ozakbas S, Lugaresi A, Prat A, Girard M, Duquette P, Larochelle C, Alroughani R, Bergamaschi R, Sola P, Ferraro D, Grammond P, Grand' Maison F, Terzi M, Boz C, Hupperts R, Butzkueven H, Pucci E, Granella F, Van Pesch V, Soysal A, Yamout BI, Lechner-Scott J, Spitaleri DLA, Ampapa R, Turkoglu R, Iuliano G, Ramo-Tello C, Sanchez-Menoyo JL, Sidhom Y, Gouider R, Shaygannejad V, Prevost J, Altintas A, Fragoso YD, McCombe PA, Petersen T, Slee M, Barnett MH, Vucic S, Van Der Walt A, Kalincik T. Disability outcomes of early cerebellar and brainstem symptoms in multiple sclerosis. Mult Scler 2020; 27:755-766. [PMID: 32538713 DOI: 10.1177/1352458520926955] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cerebellar and brainstem symptoms are common in early stages of multiple sclerosis (MS) yet their prognostic values remain unclear. OBJECTIVE The aim of this study was to investigate long-term disability outcomes in patients with early cerebellar and brainstem symptoms. METHODS This study used data from MSBase registry. Patients with early cerebellar/brainstem presentations were identified as those with cerebellar/brainstem relapse(s) or functional system score ⩾ 2 in the initial 2 years. Early pyramidal presentation was chosen as a comparator. Andersen-Gill models were used to compare cumulative hazards of (1) disability progression events and (2) relapses between patients with and without early cerebellar/brainstem symptoms. Mixed effect models were used to estimate the associations between early cerebellar/brainstem presentations and expanded disability status scale (EDSS) scores. RESULTS The study cohort consisted of 10,513 eligible patients, including 2723 and 3915 patients with early cerebellar and brainstem symptoms, respectively. Early cerebellar presentation was associated with greater hazard of progression events (HR = 1.37, p < 0.001) and EDSS (β = 0.16, p < 0.001). Patients with early brainstem symptoms had lower hazard of progression events (HR = 0.89, p = 0.01) and EDSS (β = -0.06, p < 0.001). Neither presentation was associated with changes in relapse risk. CONCLUSION Early cerebellar presentation is associated with unfavourable outcomes, while early brainstem presentation is associated with favourable prognosis. These presentations may be used as MS prognostic markers and guide therapeutic approach.
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Affiliation(s)
- Minh Le
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Charles Malpas
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | | | - Sara Eichau
- Hospital Universitario Virgen Macarena, Sevilla, Spain
| | | | - Alessandra Lugaresi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOSI Riabilitazione Sclerosi Multipla, Bologna, Italy/Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Alexandre Prat
- Centre hospitalier de l'Universite de Montreal (CHUM), Montreal, QC, Canada
| | - Marc Girard
- Centre hospitalier de l'Universite de Montreal (CHUM), Montreal, QC, Canada
| | - Pierre Duquette
- Centre hospitalier de l'Universite de Montreal (CHUM), Montreal, QC, Canada
| | | | - Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq, Kuwait
| | | | - Patrizia Sola
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | - Diana Ferraro
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | | | | | - Murat Terzi
- Faculty of Medicine, 19 Mayis University, Samsun, Turkey
| | - Cavit Boz
- Farabi Hospital, KTU Faculty of Medicine, Trabzon, Turkey
| | | | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Eugenio Pucci
- UOC Neurologia, Azienda Sanitaria Unica Regionale Marche-AV3, Macerata, Italy
| | - Franco Granella
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | | | - Aysun Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | - Bassem I Yamout
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Jeannette Lechner-Scott
- School of Medicine and Public Health, The University of Newcastle Australia, Newcastle, NSW, Australia
| | - Daniele LA Spitaleri
- Azienda Ospedaliera di Rilievo Nazionale, San Giuseppe Moscati - Avellino, Avellino, Italy
| | | | - Recai Turkoglu
- Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey
| | | | | | | | - Youssef Sidhom
- Department of Neurology, Razi Hospital, Manouba, Tunisia
| | - Riadh Gouider
- Department of Neurology, Razi Hospital, Manouba, Tunisia
| | - Vahid Shaygannejad
- Isfahan University of Medical Sciences, Isfahan, Iran, Islamic Republic of
| | | | - Ayse Altintas
- School of Medicine, Koc University, Istanbul, Turkey
| | | | | | | | - Mark Slee
- Flinders University, Adelaide, SA, Australia
| | - Michael H Barnett
- Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
| | | | - Anneke Van Der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Tomas Kalincik
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
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12
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Iacobaeus E, Arrambide G, Amato MP, Derfuss T, Vukusic S, Hemmer B, Tintore M, Brundin L. Aggressive multiple sclerosis (1): Towards a definition of the phenotype. Mult Scler 2020; 26:1352458520925369. [PMID: 32530385 PMCID: PMC7412876 DOI: 10.1177/1352458520925369] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 04/06/2020] [Accepted: 04/16/2020] [Indexed: 02/06/2023]
Abstract
While the major phenotypes of multiple sclerosis (MS) and relapsing-remitting, primary and secondary progressive MS have been well characterized, a subgroup of patients with an active, aggressive disease course and rapid disability accumulation remains difficult to define and there is no consensus about their management and treatment. The current lack of an accepted definition and treatment guidelines for aggressive MS triggered a 2018 focused workshop of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) on aggressive MS. The aim of the workshop was to discuss approaches on how to describe and define the disease phenotype and its treatments. Unfortunately, it was not possible to come to consensus on a definition because of unavailable data correlating severe disease with imaging and molecular biomarkers. However, the workshop highlighted the need for future research needed to define this disease subtype while also focusing on its treatment and management. Here, we review previous attempts to define aggressive MS and present characteristics that might, with additional research, eventually help characterize it. A companion paper summarizes data regarding treatment and management.
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Affiliation(s)
- Ellen Iacobaeus
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
| | - 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
| | - 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/Bron, France; Centre des Neurosciences de Lyon, Observatoire Français de la Sclérose en Plaques, INSERM 1028 et CNRS UMR5292, Lyon, France; Université Claude Bernard Lyon 1, Faculté de médecine Lyon Est, 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
| | - 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
| | - Lou Brundin
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
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13
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Systematic review of prediction models in relapsing remitting multiple sclerosis. PLoS One 2020; 15:e0233575. [PMID: 32453803 PMCID: PMC7250448 DOI: 10.1371/journal.pone.0233575] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 05/07/2020] [Indexed: 12/02/2022] Open
Abstract
The natural history of relapsing remitting multiple sclerosis (RRMS) is variable and prediction of individual prognosis challenging. The inability to reliably predict prognosis at diagnosis has important implications for informed decision making especially in relation to disease modifying therapies. We conducted a systematic review in order to collate, describe and assess the methodological quality of published prediction models in RRMS. We searched Medline, Embase and Web of Science. Two reviewers independently screened abstracts and full text for eligibility and assessed risk of bias. Studies reporting development or validation of prediction models for RRMS in adults were included. Data collection was guided by the checklist for critical appraisal and data extraction for systematic reviews (CHARMS) and applicability and methodological quality assessment by the prediction model risk of bias assessment tool (PROBAST). 30 studies were included in the review. Applicability was assessed as high risk of concern in 27 studies. Risk of bias was assessed as high for all studies. The single most frequently included predictor was baseline EDSS (n = 11). T2 Lesion volume or number and brain atrophy were each retained in seven studies. Five studies included external validation and none included impact analysis. Although a number of prediction models for RRMS have been reported, most are at high risk of bias and lack external validation and impact analysis, restricting their application to routine clinical practice.
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14
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Malpas CB, Manouchehrinia A, Sharmin S, Roos I, Horakova D, Havrdova EK, Trojano M, Izquierdo G, Eichau S, Bergamaschi R, Sola P, Ferraro D, Lugaresi A, Prat A, Girard M, Duquette P, Grammond P, Grand’Maison F, Ozakbas S, Van Pesch V, Granella F, Hupperts R, Pucci E, Boz C, Sidhom Y, Gouider R, Spitaleri D, Soysal A, Petersen T, Verheul F, Karabudak R, Turkoglu R, Ramo-Tello C, Terzi M, Cristiano E, Slee M, McCombe P, Macdonell R, Fragoso Y, Olascoaga J, Altintas A, Olsson T, Butzkueven H, Hillert J, Kalincik T. Early clinical markers of aggressive multiple sclerosis. Brain 2020; 143:1400-1413. [DOI: 10.1093/brain/awaa081] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 01/21/2020] [Accepted: 02/05/2020] [Indexed: 11/13/2022] Open
Abstract
Abstract
Patients with the ‘aggressive’ form of multiple sclerosis accrue disability at an accelerated rate, typically reaching Expanded Disability Status Score (EDSS) ≥ 6 within 10 years of symptom onset. Several clinicodemographic factors have been associated with aggressive multiple sclerosis, but less research has focused on clinical markers that are present in the first year of disease. The development of early predictive models of aggressive multiple sclerosis is essential to optimize treatment in this multiple sclerosis subtype. We evaluated whether patients who will develop aggressive multiple sclerosis can be identified based on early clinical markers. We then replicated this analysis in an independent cohort. Patient data were obtained from the MSBase observational study. Inclusion criteria were (i) first recorded disability score (EDSS) within 12 months of symptom onset; (ii) at least two recorded EDSS scores; and (iii) at least 10 years of observation time, based on time of last recorded EDSS score. Patients were classified as having ‘aggressive multiple sclerosis’ if all of the following criteria were met: (i) EDSS ≥ 6 reached within 10 years of symptom onset; (ii) EDSS ≥ 6 confirmed and sustained over ≥6 months; and (iii) EDSS ≥ 6 sustained until the end of follow-up. Clinical predictors included patient variables (sex, age at onset, baseline EDSS, disease duration at first visit) and recorded relapses in the first 12 months since disease onset (count, pyramidal signs, bowel-bladder symptoms, cerebellar signs, incomplete relapse recovery, steroid administration, hospitalization). Predictors were evaluated using Bayesian model averaging. Independent validation was performed using data from the Swedish Multiple Sclerosis Registry. Of the 2403 patients identified, 145 were classified as having aggressive multiple sclerosis (6%). Bayesian model averaging identified three statistical predictors: age > 35 at symptom onset, EDSS ≥ 3 in the first year, and the presence of pyramidal signs in the first year. This model significantly predicted aggressive multiple sclerosis [area under the curve (AUC) = 0.80, 95% confidence intervals (CIs): 0.75, 0.84, positive predictive value = 0.15, negative predictive value = 0.98]. The presence of all three signs was strongly predictive, with 32% of such patients meeting aggressive disease criteria. The absence of all three signs was associated with a 1.4% risk. Of the 556 eligible patients in the Swedish Multiple Sclerosis Registry cohort, 34 (6%) met criteria for aggressive multiple sclerosis. The combination of all three signs was also predictive in this cohort (AUC = 0.75, 95% CIs: 0.66, 0.84, positive predictive value = 0.15, negative predictive value = 0.97). Taken together, these findings suggest that older age at symptom onset, greater disability during the first year, and pyramidal signs in the first year are early indicators of aggressive multiple sclerosis.
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Affiliation(s)
- Charles B Malpas
- CORe Unit, Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
| | - Ali Manouchehrinia
- Centre for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Sifat Sharmin
- CORe Unit, Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
| | - Izanne Roos
- CORe Unit, Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | | | - Sara Eichau
- Hospital Universitario Virgen Macarena, Sevilla, Spain
| | | | - Patrizia Sola
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | - Diana Ferraro
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Alessandra Lugaresi
- Department of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Marc Girard
- CHUM and Universite de Montreal, Montreal, Canada
| | | | | | | | | | - Vincent Van Pesch
- Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Université Catholique de Louvain, Brussels, Belgium
| | - Franco Granella
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | | | - Eugenio Pucci
- UOC Neurologia, Azienda Sanitaria Unica Regionale Marche - AV3, Macerata, Italy
| | - Cavit Boz
- KTU Medical Faculty Farabi Hospital, Trabzon, Turkey
| | - Youssef Sidhom
- Department of Neurology, Razi Hospital, Manouba, Tunisia
| | - Riadh Gouider
- Department of Neurology, Razi Hospital, LR 18SP03, Clinical Investigation Center Neurosciences and Mental Health, Faculty of Medicine University Tunis El Manar, Tunis, Tunisia
| | - Daniele Spitaleri
- Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino, Avellino, Italy
| | - Aysun Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | | | | | | | - Recai Turkoglu
- Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey
| | | | - Murat Terzi
- Medical Faculty, 19 Mayis University, Samsun, Turkey
| | | | - Mark Slee
- Flinders University, Adelaide, Australia
| | - Pamela McCombe
- University of Queensland, Brisbane, Australia
- Royal Brisbane and Women’s Hospital, Brisbane, Australia
| | | | - Yara Fragoso
- Universidade Metropolitana de Santos, Santos, Brazil
| | - Javier Olascoaga
- Instituto de Investigación Sanitaria Biodonostia, Hospital Universitario Donostia, San Sebastián, Spain
| | - Ayse Altintas
- Koc University, School of Medicine, Department of Neurology, Istanbul, Turkey
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - Helmut Butzkueven
- Central Clinical School, Monash University, Melbourne, Australia
- Department of Neurology, The Alfred Hospital, Melbourne, Australia
- Department of Neurology, Box Hill Hospital, Monash University, Melbourne, Australia
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - Tomas Kalincik
- CORe Unit, Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
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15
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Pérez Sánchez S, Eichau Madueño S, Rus Hidalgo M, Domínguez Mayoral AM, Vilches-Arenas A, Navarro Mascarell G, Izquierdo G. Usefulness of optic nerve ultrasound to predict clinical progression in multiple sclerosis. Neurologia 2018; 36:209-214. [PMID: 29573900 DOI: 10.1016/j.nrl.2017.12.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 12/17/2017] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Progressive neuronal and axonal loss are considered the main causes of disability in patients with multiple sclerosis (MS). The disease frequently involves the visual system; the accessibility of the system for several functional and structural tests has made it a model for the in vivo study of MS pathogenesis. Orbital ultrasound is a non-invasive technique that enables various structures of the orbit, including the optic nerve, to be evaluated in real time. MATERIAL AND METHODS We conducted an observational, ambispective study of MS patients. Disease progression data were collected. Orbital ultrasound was performed on all patients, with power set according to the 'as low as reasonably achievable' (ALARA) principle. Optical coherence tomography (OCT) data were also collected for those patients who underwent the procedure. Statistical analysis was conducted using SPSS version 22.0. RESULTS Disease progression was significantly correlated with ultrasound findings (P=.041 for the right eye and P=.037 for the left eye) and with Expanded Disability Status Scale (EDSS) score at the end of the follow-up period (P=.07 for the right eye and P=.043 for the left eye). No statistically significant differences were found with relation to relapses or other clinical variables. DISCUSSION Ultrasound measurement of optic nerve diameter constitutes a useful, predictive factor for the evaluation of patients with MS. Smaller diameters are associated with poor clinical progression and greater disability (measured by EDSS).
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Affiliation(s)
- S Pérez Sánchez
- Servicio de Neurología, Hospital Universitario Virgen Macarena, Sevilla, España.
| | - S Eichau Madueño
- Servicio de Neurología, Hospital Universitario Virgen Macarena, Sevilla, España
| | - M Rus Hidalgo
- Servicio de Neurología, Hospital Universitario Virgen Macarena, Sevilla, España
| | | | - A Vilches-Arenas
- Servicio de Medicina Preventiva, Hospital Universitario Virgen Macarena, Sevilla, España
| | - G Navarro Mascarell
- Servicio de Neurología, Hospital Universitario Virgen Macarena, Sevilla, España
| | - G Izquierdo
- Servicio de Neurología, Hospital Universitario Virgen Macarena, Sevilla, España
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Definition, prevalence and predictive factors of benign multiple sclerosis. eNeurologicalSci 2017; 7:37-43. [PMID: 29260023 PMCID: PMC5721547 DOI: 10.1016/j.ensci.2017.05.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 05/12/2017] [Indexed: 12/31/2022] Open
Abstract
Background Multiple sclerosis (MS) is characterized by a great inter-individual variability in disease course and severity. Some patients experience a rather mild course, controversially called 'benign MS' (BMS). The usefulness of this entity in clinical practice remains unclear. Methods We performed a literature search in PubMed, Web of Science and Cochrane Library databases from November 1980 to December 2015, using the following key words: benign multiple sclerosis, diagnosis, imaging, prognosis, predictive, natural history and predefined inclusion criteria. Results Our search yielded 26 publications. Most definitions were based on the Expanded Disease Status Scale (EDSS), which is heavily weighted towards physical disability. Between 30 and 80% of relapsing-remitting MS patients have EDSS < 3 or 4 at 10 years after onset. Having only one relapse in the first 5 years and EDSS ≤ 2 at 5 years or EDSS ≤ 3 at 10 years appears to be predictive for a prolonged benign disease course, without protecting against disease progression at a later stage. Evidence on the predictive value of MRI parameters remains limited. Conclusions Current BMS definitions have some predictive value for future physical disability, but do not take into account the age at EDSS and the potentially disrupting effects of non-EDSS symptoms and cognitive impairment. It appears to correspond to mild RRMS in the first decades and its prevalence varies. Since early and accurate prediction of BMS is not yet possible, the clinical relevance is limited. Research approaches are suggested.
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17
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Gross HJ, Watson C. Characteristics, burden of illness, and physical functioning of patients with relapsing-remitting and secondary progressive multiple sclerosis: a cross-sectional US survey. Neuropsychiatr Dis Treat 2017; 13:1349-1357. [PMID: 28572730 PMCID: PMC5441664 DOI: 10.2147/ndt.s132079] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Although most patients with relapsing-remitting multiple sclerosis (RRMS) will develop secondary progressive multiple sclerosis (SPMS), little is known about the burden of multiple sclerosis by disease subtype. This study describes the burden of disease in terms of demographics, disease severity, symptoms, health care resource and disease-modifying therapy (DMT) utilization, work and activity impairment, and physical functioning of SPMS and RRMS patients. METHODS SPMS and RRMS patient responses from the 2012 and 2013 waves of the US National Health and Wellness Survey were evaluated to detect differences in demographics, disease severity, symptoms, and health care resource and DMT utilization. In addition, data from the Work Productivity and Activity Impairment and Short Form-36 questionnaires were analyzed. RESULTS SPMS patients were older than RRMS patients (mean age 55.7 vs 48.9 years; P<0.001); a lower proportion were female (56.2% with SPMS vs 71.6% with RRMS; P=0.002), and fewer SPMS than RRMS patients were employed (20.0% vs 39.7%; P<0.001). SPMS patients described their disease as more severe, reporting several neurological symptoms more frequently and higher hospitalization rates than RRMS patients. A lower percentage of SPMS than RRMS patients reported DMT use. SPMS patients had greater overall work and activity impairment than RRMS patients. After controlling for baseline characteristics, impairment in physical functioning was greater in SPMS patients. CONCLUSION Overall, SPMS patients had a higher burden of illness than RRMS patients, underscoring the need to treat RRMS patients early to delay disability progressing using therapies that are effective in real-world settings.
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Affiliation(s)
| | - Crystal Watson
- Health Economics and Outcomes Research, Biogen, Cambridge, MA, USA
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18
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Traboulsee AL, Cornelisseª P, Sandberg-Wollheim M, Uitdehaag BM, Kappos L, Jongen PJ, Constantinescu CS, di Cantogno EV, Li DK. Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis. Mult Scler J Exp Transl Clin 2016; 2:2055217316666406. [PMID: 28607737 PMCID: PMC5433509 DOI: 10.1177/2055217316666406] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 08/05/2016] [Indexed: 11/16/2022] Open
Abstract
Objective The objective of this article is to investigate potential clinical and MRI predictors of long-term outcomes in multiple sclerosis (MS). Methods This was a post hoc analysis using data from all 382 patients in the PRISMS long-term follow-up (LTFU) study collected up to eight years after randomisation. An additional analysis was performed including only those patients originally randomised to receive early subcutaneous interferon (IFN) β-1a (n = 259). Baseline/prestudy variables, indicators of early clinical and MRI activity (baseline to month 24), and indicators of IFN β-1a treatment exposure (including medication possession ratio (MPR)) were investigated as candidate prognostic factors for outcomes measured from baseline and from month 24 to LTFU. Explanatory variables identified from univariate regression models (p ≤ 0.15) were selected for inclusion in stepwise multiple regression models. Results Candidate prognostic factors selected by the univariate analysis (p ≤ 0.15) included age, MS duration, baseline brain volume, EDSS score, and log(T2 burden of disease (BOD)). In most of the multivariate regression models applied, higher baseline brain volume and MPR predicted better long-term clinical outcomes, while higher baseline and greater early increase in EDSS score predicted worse outcomes. Conclusion Identification of markers that may be prognostic for long-term disability could help identify MS patients at higher risk of disability progression.
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Affiliation(s)
- Anthony L Traboulsee
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | | | - Bernard Mj Uitdehaag
- MS Center Amsterdam, Department of Neurology, VU Medical Center, Amsterdam, The Netherlands
| | - Ludwig Kappos
- Departments of Neurology and Biomedicine, University of Basel, Basel, Switzerland
| | - Peter J Jongen
- University Groningen, University Medical Center Groningen, Department of Community & Occupational Medicine, Groningen, The Netherlands
| | | | | | - David Kb Li
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
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Stewart T, Spelman T, Havrdova E, Horakova D, Trojano M, Izquierdo G, Duquette P, Girard M, Prat A, Lugaresi A, Grand'Maison F, Grammond P, Sola P, Shaygannejad V, Hupperts R, Alroughani R, Oreja-Guevara C, Pucci E, Boz C, Lechner-Scott J, Bergamaschi R, Van Pesch V, Iuliano G, Ramo C, Taylor B, Slee M, Spitaleri D, Granella F, Verheul F, McCombe P, Hodgkinson S, Amato MP, Vucic S, Gray O, Cristiano E, Barnett M, Sanchez Menoyo JL, van Munster E, Saladino ML, Olascoaga J, Prevost J, Deri N, Shaw C, Singhal B, Moore F, Rozsa C, Shuey N, Skibina O, Kister I, Petkovska-Boskova T, Ampapa R, Kermode A, Butzkueven H, Jokubaitis V, Kalincik T. Contribution of different relapse phenotypes to disability in multiple sclerosis. Mult Scler 2016; 23:266-276. [PMID: 27055805 DOI: 10.1177/1352458516643392] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE This study evaluated the effect of relapse phenotype on disability accumulation in multiple sclerosis. METHODS Analysis of prospectively collected data was conducted in 19,504 patients with relapse-onset multiple sclerosis and minimum 1-year prospective follow-up from the MSBase cohort study. Multivariable linear regression models assessed associations between relapse incidence, phenotype and changes in disability (quantified with Expanded Disability Status Scale and its Functional System scores). Sensitivity analyses were conducted. RESULTS In 34,858 relapses recorded during 136,462 patient-years (median follow-up 5.9 years), higher relapse incidence was associated with greater disability accumulation (β = 0.16, p < 0.001). Relapses of all phenotypes promoted disability accumulation, with the most pronounced increase associated with pyramidal (β = 0.27 (0.25-0.29)), cerebellar (β = 0.35 (0.30-0.39)) and bowel/bladder (β = 0.42 (0.35-0.49)) phenotypes (mean (95% confidence interval)). Higher incidence of each relapse phenotype was associated with an increase in disability in the corresponding neurological domain, as well as anatomically related domains. CONCLUSION Relapses are associated with accumulation of neurological disability. Relapses in pyramidal, cerebellar and bowel/bladder systems have the greatest association with disability change. Therefore, prevention of these relapses is an important objective of disease-modifying therapy. The differential impact of relapse phenotypes on disability outcomes could influence management of treatment failure in multiple sclerosis.
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Affiliation(s)
- Tamasine Stewart
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia
| | - Tim Spelman
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia/Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, General University Hospital and Charles University in Prague, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, General University Hospital and Charles University in Prague, Prague, Czech Republic
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | | | - Pierre Duquette
- Hôpital Notre Dame, CHUM and Université de Montréal, Montreal, QC, Canada
| | - Marc Girard
- Hôpital Notre Dame, CHUM and Université de Montréal, Montreal, QC, Canada
| | - Alexandre Prat
- Hôpital Notre Dame, CHUM and Université de Montréal, Montreal, QC, Canada
| | - Alessandra Lugaresi
- MS Centre, Department of Neuroscience, Imaging and Clinical Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy
| | | | | | - Patrizia Sola
- Neurology Unit, Department of Neuroscience, Nuovo Ospedale Civile S. Agostino-Estense, Modena, Italy
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Raed Alroughani
- Department of Neurology, Amiri Hospital, Kuwait City, Kuwait
| | - Celia Oreja-Guevara
- University Hospital San Carlos, El Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | | | - Cavit Boz
- Karadeniz Technical University, Trabzon, Turkey
| | - Jeannette Lechner-Scott
- Hunter Medical Research Institute, The University of Newcastle Australia, Callaghan, NSW, Australia
| | | | | | | | | | - Bruce Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Mark Slee
- Flinders University and Medical Centre, Adelaide, SA, Australia
| | | | | | | | - Pamela McCombe
- Centre for Clinical Research, The University of Queensland Australia, Brisbane, QLD, Australia
| | - Suzanne Hodgkinson
- Departments of Nephrology and Neurology, Liverpool Hospital, Liverpool, NSW, Australia
| | - Maria Pia Amato
- Section of Neurosciences, NEUROFARBA, University of Florence, Florence, Italy
| | | | - Orla Gray
- Craigavon Area Hospital, Portadown, UK
| | | | | | | | | | | | - Javier Olascoaga
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain
| | - Julie Prevost
- Centre Intégré de Santé et de Services Sociaux des Laurentides, Saint-Jerome, QC, Canada
| | - Norma Deri
- Hospital Fernandez, Buenos Aires, Argentina
| | | | - Bhim Singhal
- Bombay Hospital Institute of Medical Sciences, Mumbai, India
| | | | - Csilla Rozsa
- Jahn Ferenc Teaching Hospital, Budapest, Hungary
| | - Neil Shuey
- St Vincent's Hospital, Melbourne, Melbourne, VIC, Australia
| | | | - Ilya Kister
- Department of Neurology, NYU School of Medicine, New York, NY, USA
| | | | | | - Allan Kermode
- Western Australian Neuroscience Research Institute, The University of Western Australia, Perth, WA, Australia/Institute of Immunology and Infectious Diseases, Murdoch University, Perth, WA, Australia
| | - Helmut Butzkueven
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia/Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, Parkville, VIC, Australia/Department of Neurology, Box Hill Hospital, Monash University, Melbourne, VIC, Australia
| | - Vilija Jokubaitis
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia/Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Tomas Kalincik
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia/Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, Parkville, VIC, Australia
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20
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Trojano M, Russo P, Fuiani A, Paolicelli D, Di Monte E, Granieri E, Rosati G, Savettieri G, Comi G, Livrea P. The Italian Multiple Sclerosis Database Network (MSDN): the risk of worsening according to IFNβ exposure in multiple sclerosis. Mult Scler 2016; 12:578-85. [PMID: 17086903 DOI: 10.1177/1352458506070620] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We evaluated the risk of worsening according to the length of exposure to interferon beta (IFNβ)ina large cohort of 2090 multiple sclerosis patients collected by the Italian MS Database Network. Overall 44-140 patient-visits with a follow-up of 22-143 patient-years were evaluated. Forty-one per cent of patients were exposed to IFNβ for up to 2 years, 39% for 2- 4 years and 20% for more than 4 years. A Cox regression model was used to analyse two clinical outcomes: disability progression and worsening of relapse rate. The technique of propensity score was applied to reduce bias in the comparison of non-randomized groups. The risks of disability progression (HR=0.23; 95% CI: 0.17 - 0.30) and worsening of relapse rate (HR=0.19; 95% CI: 0.14 - 0.27) were reduced by about 4- 5- fold in patients exposed to IFNβ for more than four years, compared with patients exposed for up to two years. The propensity score technique confirmed the findings. The proportion of days covered by IFNβ treatment was lower ( P<0.0001) in patients exposed to IFNβ for up to two years than in other groups. A clinical stabilization over two years of IFNβ exposure may predict a subsequent good clinical response to treatment.
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Affiliation(s)
- Maria Trojano
- Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy.
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21
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Alla S, Pearson JF, Taylor BV, Miller DH, Clarke G, Richardson A, Willoughby E, Abernethy DA, Sabel CE, Mason DF. Disability profile of multiple sclerosis in New Zealand. J Clin Neurosci 2016; 28:97-101. [PMID: 26765754 DOI: 10.1016/j.jocn.2015.09.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Revised: 08/29/2015] [Accepted: 09/06/2015] [Indexed: 10/22/2022]
Abstract
New Zealand is a high risk region for multiple sclerosis (MS). The aim of this study was to investigate demographic, clinical and temporal factors associated with disability status in the New Zealand National Multiple Sclerosis Prevalence Study (NZNMSPS) cohort. Data were obtained from the 2006 NZNMSPS with MS diagnosis based on the 2005 McDonald criteria. Disability was assessed using the Expanded Disability Status Scale (EDSS). Disability profiles were generated using multiple linear regression analysis. A total of 2917 persons with MS was identified, of whom disability data were available for 2422 (75% females). The overall disability was EDSS 4.4±standard deviation 2.6. Higher disability was associated with older age, longer disease duration, older and younger ages of onset, spinal cord syndromes with motor involvement at onset, and a progressive onset type. Lower disability was associated with sensory symptoms at onset and a relapsing onset type. Overall, the factors studied explained about one-third of the variation in disability, and of this, about two-thirds was accounted for by age, age of onset and disease duration and one-third by the nature of first symptoms and type of disease onset (progressive or relapsing). Current age, age at onset and disease duration all had independent associations with disability and their effects also interacted in contributing to higher disability levels over the course of the disease.
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Affiliation(s)
- Sridhar Alla
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch 8011, New Zealand; University of Otago, Christchurch, New Zealand.
| | | | - Bruce V Taylor
- Menzies Research Institute, University of Tasmania, Hobart, Australia
| | - David H Miller
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch 8011, New Zealand; University of Otago, Christchurch, New Zealand; Queen Square MS Centre, UCL Institute of Neurology, London, UK
| | | | - Ann Richardson
- School of Health Sciences, University of Canterbury, Christchurch, New Zealand
| | | | | | - Clive E Sabel
- School of Geographical Sciences, University of Bristol, Bristol, UK
| | - Deborah F Mason
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch 8011, New Zealand; University of Otago, Christchurch, New Zealand; Christchurch Public Hospital, Christchurch, New Zealand
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22
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Abstract
Multiple sclerosis (MS) is a CNS disorder characterized by inflammation, demyelination and neurodegeneration, and is the most common cause of acquired nontraumatic neurological disability in young adults. The course of the disease varies between individuals: some patients accumulate minimal disability over their lives, whereas others experience a rapidly disabling disease course. This latter subset of patients, whose MS is marked by the rampant progression of disability over a short time period, is often referred to as having 'aggressive' MS. Treatment of patients with aggressive MS is challenging, and optimal strategies have yet to be defined. It is important to identify patients who are at risk of aggressive MS as early as possible and implement an effective treatment strategy. Early intervention might protect patients from irreversible damage and disability, and prevent the development of a secondary progressive course, which thus far lacks effective therapy.
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23
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Jokubaitis VG, Spelman T, Kalincik T, Izquierdo G, Grand'Maison F, Duquette P, Girard M, Lugaresi A, Grammond P, Hupperts R, Cabrera-Gomez J, Oreja-Guevara C, Boz C, Giuliani G, Fernández-Bolaños R, Iuliano G, Lechner-Scott J, Verheul F, van Pesch V, Petkovska-Boskova T, Fiol M, Moore F, Cristiano E, Alroughani R, Bergamaschi R, Barnett M, Slee M, Vella N, Herbert J, Shaw C, Saladino ML, Amato MP, Liew D, Paolicelli D, Butzkueven H, Trojano M. Predictors of disability worsening in clinically isolated syndrome. Ann Clin Transl Neurol 2015; 2:479-91. [PMID: 26000321 PMCID: PMC4435703 DOI: 10.1002/acn3.187] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2014] [Revised: 02/02/2015] [Accepted: 02/03/2015] [Indexed: 11/06/2022] Open
Abstract
Objective To assess demographic, clinical, magnetic resonance imaging, and treatment exposure predictors of time to 3 or 12-month confirmed disability worsening in clinically isolated syndrome (CIS) and early multiple sclerosis (MS). Methods We utilized the MSBase Incident Study (MSBasis), a prospective cohort study of outcome after CIS. Predictors of time to first 3 and 12-month confirmed expanded disability status scale worsening were analyzed using Cox proportional hazards regression. Results About 1989 patients were analyzed, the largest seen-from-onset cohort reported to-date. A total of 391 patients had a first 3-month confirmed disability worsening event, of which 307 were sustained for 12 months. Older age at CIS onset (adjusted hazard ratio: aHR 1.17, 95% 1.06, 1.30), pyramidal (aHR 1.45, 95% CI 1.13, 1.89) and ambulation (HR 1.60, 95% CI 1.09, 2.34) system dysfunction, annualized relapse rate (aHR 1.20, 95% CI 1.18, 1.22), and lower proportion of observation time on treatment were associated with 3-month confirmed worsening. Predictors of time to 12-month sustained worsening included pyramidal system dysfunction (Hazard ratio: aHR 1.38, 95% CI 1.05, 1.83), and older age at CIS onset (aHR 1.17, 95% CI 1.04, 1.31). Greater proportion of follow-up time exposed to treatment was associated with greater reductions in the rate of worsening. Interpretation This study provides class IV evidence for a strong protective effect of disease-modifying treatment to reduce disability worsening events in patients with CIS and early MS, and confirms age and pyramidal dysfunction at onset as risk factors.
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Affiliation(s)
- Vilija G Jokubaitis
- Department of Medicine (RMH), The University of Melbourne Parkville, Australia
| | - Tim Spelman
- Department of Neurology, Royal Melbourne Hospital Parkville, Australia
| | - Tomas Kalincik
- Department of Medicine (RMH), The University of Melbourne Parkville, Australia
| | | | | | | | | | - Alessandra Lugaresi
- MS Center, Department of Neuroscience and Imaging, University "G. d'Annunzio" Chieti, Italy
| | - Pierre Grammond
- Centre de réadaptation déficience physique Chaudière-Appalache Levis, Canada
| | | | | | | | - Cavit Boz
- Karadeniz Technical University Trabzon, Turkey
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Mark Slee
- Flinders University and Medical Centre Adelaide, Australia
| | | | - Joseph Herbert
- New York University Langone Medical Center New York, New York
| | | | | | - Maria Pia Amato
- Department of Neurology University of Florence Florence, Italy
| | - Danny Liew
- Melbourne EpiCentre, University of Melbourne and Melbourne Health Melbourne, Australia
| | - Damiano Paolicelli
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Bari, Italy
| | - Helmut Butzkueven
- Department of Medicine (RMH), The University of Melbourne Parkville, Australia ; Department of Neurology, Royal Melbourne Hospital Parkville, Australia
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Bari, Italy
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24
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Bergamaschi R, Montomoli C, Mallucci G, Lugaresi A, Izquierdo G, Grand'Maison F, Duquette P, Shaygannejad V, Alroughani R, Grammond P, Boz C, Iuliano G, Zwanikken C, Petersen T, Lechner-Scott J, Hupperts R, Butzkueven H, Pucci E, Oreja-Guevara C, Cristiano E, Pia Amato MP, Havrdova E, Fernandez-Bolanos R, Spelman T, Trojano M. BREMSO: a simple score to predict early the natural course of multiple sclerosis. Eur J Neurol 2015; 22:981-9. [DOI: 10.1111/ene.12696] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Accepted: 01/12/2015] [Indexed: 11/28/2022]
Affiliation(s)
- R. Bergamaschi
- Inter-Department Multiple Sclerosis Research Centre; Neurological Institute IRCCS Mondino; Pavia Italy
| | - C. Montomoli
- Unit of Biostatistics and Clinical Epidemiology; Department of Public Health; University of Pavia; Pavia Italy
| | - G. Mallucci
- Inter-Department Multiple Sclerosis Research Centre; Neurological Institute IRCCS Mondino; Pavia Italy
| | - A. Lugaresi
- MS Centre; Department of Neuroscience and Imaging; University ‘G. d'Annunzio’; Chieti Italy
| | - G. Izquierdo
- Hospital Universitario Virgen Macarena; Sevilla Spain
| | | | | | - V. Shaygannejad
- Al-Zahra Hospital; Isfahan University of Medical Sciences; Isfahan Iran
| | | | | | - C. Boz
- Karadeniz Technical University; Trabzon Turkey
| | - G. Iuliano
- Ospedali Riuniti di Salerno; Salerno Italy
| | - C. Zwanikken
- University Hospital Nijmegen; Nijmegen The Netherlands
| | - T. Petersen
- Aarhus University Hospital; Aarhus C Denmark
| | | | | | - H. Butzkueven
- Department of Neurology; Box Hill Hospital; Monash University; Box Hill Vic. Australia
| | - E. Pucci
- Ospedale di Macerata; Salerno Italy
| | | | | | - M. P. Pia Amato
- Department NEUROFARBA; Section of Neurosciences; University of Florence; Florence Italy
| | | | | | - T. Spelman
- University of Melbourne; Melbourne Australia
| | - M. Trojano
- Department of Basic Medical Sciences; Neuroscience and Sense Organs; University of Bari; Bari Italy
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Le Teuff G, Abrahamowicz M, Wynant W, Binquet C, Moreau T, Quantin C. Flexible modeling of disease activity measures improved prognosis of disability progression in relapsing-remitting multiple sclerosis. J Clin Epidemiol 2014; 68:307-16. [PMID: 25541382 DOI: 10.1016/j.jclinepi.2014.11.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Revised: 09/16/2014] [Accepted: 11/18/2014] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To illustrate the advantages of updating time-varying measures of disease activity and flexible modeling in prognostic clinical studies using the example of the association between the frequency of past relapses and occurrence of ambulation-related disability in multiple sclerosis (MS). STUDY DESIGN AND SETTING Longitudinal population-based study of 288 patients from Burgundy, France, diagnosed with relapsing-remitting MS in 1990-2003. The end point was a nonreversible moderate MS disability (European Database for Multiple Sclerosis score ≥ 3.0 derived from Extended Disability Status Scale). Alternative time-varying measures of attacks frequency included (1) conventional number of early MS attacks in the first 2 years after diagnosis; and two new measures, continuously updated during the follow-up; (2) cumulative number of past attacks; and (3) number of recent attacks, during the past 2 years. Multivariate analyses used Cox proportional hazards model and its flexible generalization, which accounted for time-dependent changes in the hazard ratios (HRs) for different attack frequency measures. RESULTS HRs for all measures decreased significantly with increasing follow-up time. The proposed updated number of recent attacks improved model's fit to data, relative to alternative measures of attack frequency, and was associated with a statistically significantly increased hazard of developing ambulation-related MS disability in the next 2 years during the entire follow-up period. CONCLUSION Updated measures of recent disease activity, such as frequency of recent attacks and modeling of their time-dependent effects, may substantially improve prognosis of clinical outcomes, such as development of MS disability.
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Affiliation(s)
- Gwénaël Le Teuff
- Department of Biostatistics and Epidemiology, Institut Gustave Roussy, Villejuif, Paris, France
| | - Michal Abrahamowicz
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Division of Clinical Epidemiology, McGill University Health Centre, Royal Victoria Hospital, 687 Pine Avenue West, V Building, Montreal, Quebec, Canada H3A 1A1
| | - Willy Wynant
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Division of Clinical Epidemiology, McGill University Health Centre, Royal Victoria Hospital, 687 Pine Avenue West, V Building, Montreal, Quebec, Canada H3A 1A1
| | - Christine Binquet
- INSERM, CIC 1432, 21000 Dijon, France; Clinical Investigation Center, Dijon University Hospital, Clinical Epidemiology/Clinical Trials Unit, Dijon, France
| | - Thibault Moreau
- Department of Neurology, Centre Hospitalier Universitaire de Dijon, BP 77908, 21079 Dijon Cedex, France
| | - Catherine Quantin
- INSERM, CIC 1432, 21000 Dijon, France; Clinical Investigation Center, Dijon University Hospital, Clinical Epidemiology/Clinical Trials Unit, Dijon, France; Department of Neurology, Centre Hospitalier Universitaire de Dijon, BP 77908, 21079 Dijon Cedex, France; Department of Biostatistics and Medical Informatics, Centre Hospitalier Universitaire de Dijon, BP 77908, 21079 Dijon Cedex, France.
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26
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Paz Soldán MM, Novotna M, Abou Zeid N, Kale N, Tutuncu M, Crusan DJ, Atkinson EJ, Siva A, Keegan BM, Pirko I, Pittock SJ, Lucchinetti CF, Weinshenker BG, Rodriguez M, Kantarci OH. Relapses and disability accumulation in progressive multiple sclerosis. Neurology 2014; 84:81-8. [PMID: 25398229 DOI: 10.1212/wnl.0000000000001094] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We examined the effect of relapses-before and after progression onset-on the rate of postprogression disability accrual in a progressive multiple sclerosis (MS) cohort. METHODS We studied patients with primary progressive MS (n = 322) and bout-onset progressive MS (BOPMS) including single-attack progressive MS (n = 112) and secondary progressive MS (n = 421). The effect of relapses on time to Expanded Disability Status Scale (EDSS) score of 6 was studied using multivariate Cox regression analysis (sex, age at progression, and immunomodulation modeled as covariates). Kaplan-Meier analysis was performed using EDSS 6 as endpoint. RESULTS Preprogression relapses (hazard ratio [HR]: 1.63; 95% confidence interval [CI]: 1.34-1.98), postprogression relapses (HR: 1.37; 95% CI: 1.11-1.70), female sex (HR: 1.19; 95% CI: 1.00-1.43), and progression onset after age 50 years (HR: 1.47; 95% CI: 1.21-1.78) were associated with shorter time to EDSS 6. Postprogression relapses occurred in 29.5% of secondary progressive MS, 10.7% of single-attack progressive MS, and 3.1% of primary progressive MS. Most occurred within 5 years (91.6%) after progressive disease onset and/or before age 55 (95.2%). Immunomodulation after onset of progressive disease course (HR: 0.64; 95% CI: 0.52-0.78) seemingly lengthened time to EDSS 6 (for BOPMS with ongoing relapses) when analyzed as a dichotomous variable, but not as a time-dependent variable. CONCLUSIONS Pre- and postprogression relapses accelerate time to severe disability in progressive MS. Continuing immunomodulation for 5 years after the onset of progressive disease or until 55 years of age may be reasonable to consider in patients with BOPMS who have ongoing relapses.
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Affiliation(s)
- M Mateo Paz Soldán
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Martina Novotna
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Nuhad Abou Zeid
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Nilufer Kale
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Melih Tutuncu
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Daniel J Crusan
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Elizabeth J Atkinson
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Aksel Siva
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - B Mark Keegan
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Istvan Pirko
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Sean J Pittock
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Claudia F Lucchinetti
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Brian G Weinshenker
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Moses Rodriguez
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine
| | - Orhun H Kantarci
- From the Mayo Clinic Center for Multiple Sclerosis and CNS Demyelinating Diseases, Department of Neurology (M.M.P.S., M.N., B.M.K., I.P., S.J.P., C.F.L., B.G.W., M.R., O.H.K.), and Division of Biomedical Statistics & Informatics (D.J.C., E.J.A.), Mayo Clinic College of Medicine, Rochester, MN; International Clinical Research Center (M.N.), St. Anne's University Hospital Brno, Czech Republic; Department of Neurology (N.A.Z.), American University of Beirut Medical Center, Lebanon; Department of Neurology (N.K.), Bakirkoy State Hospital, Istanbul; and Department of Neurology (M.T., A.S.), Cerrahpasa School of Medicine, Istanbul University, Turkey. N.A.Z., N.K., and M.T. were previous fellows of the Department of Neurology, Mayo Clinic College of Medicine.
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Abstract
Knowledge of the epidemiology and natural history of multiple sclerosis (MS) is essential for practitioners and patients to make informed decisions about their care. This knowledge, in turn, depends upon the findings from reliable studies (i.e., those which adhere to the highest methodological standards). For a clinically variable disease such as MS, these standards include case ascertainment using a population-based design; a large-sized sample of patients, who are followed for a long time-period in order to provide adequate statistical power; a regular assessment of patients that is prospective, frequent, and standardized; and the application of rigorous statistical techniques, taking into account confounding factors such as the use of disease modifying therapy or the age at clinical onset. In this chapter we review the available epidemiologic and natural history data as it relates clinical issues such as the likelihood of incomplete recovery from a first attack; the likelihood and time course of a second attack; the likelihood and time course of disease progression and the accumulation of irreversible disability; the disease prognosis based both upon the clinical nature and presentation of the first episode and upon the initial disease course; and the impact of disease on mortality. In addition, these studies provide insight to the pathophysiologic mechanisms underlying the course and prognosis of MS. Studies of the Lyon cohort have been particularly helpful in this regard and observations from this cohort have led to the hypothesis that, in large part, the accumulation of disability in MS is an age-related process, which is independent of the clinical subtype of MS (i.e., relapsing-remitting, primary progressive, secondary progressive, or relapsing progressive). And finally, we consider briefly the impact of various life events (e.g., pregnancy, infection, vaccination, trauma, and stress) on the clinical course of disease.
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Affiliation(s)
- Christian Confavreux
- Service de Neurologie A, EDMUS Coordinating Center, INSERM U 842, Hôpital Neurologique Pierre Wertheimer, Lyon, France
| | - Sandra Vukusic
- Service de Neurologie A, EDMUS Coordinating Center, INSERM U 842, Hôpital Neurologique Pierre Wertheimer, Lyon, France.
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Ramachandran S, Strange RC, Jones PW, Kalra S, Nayak D, Hawkins CP. Associations between onset age and disability in multiple sclerosis patients studied using MSSS and a progression model. Mult Scler Relat Disord 2014; 3:593-9. [DOI: 10.1016/j.msard.2014.06.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Revised: 05/14/2014] [Accepted: 06/17/2014] [Indexed: 10/25/2022]
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Rudko DA, Solovey I, Gati JS, Kremenchutzky M, Menon RS. Multiple sclerosis: improved identification of disease-relevant changes in gray and white matter by using susceptibility-based MR imaging. Radiology 2014; 272:851-64. [PMID: 24828000 DOI: 10.1148/radiol.14132475] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE To evaluate the potential of quantitative susceptibility (QS) and R2* mapping as surrogate biomarkers of clinically relevant, age-adjusted demyelination and iron deposition in multiple sclerosis (MS). MATERIALS AND METHODS All study participants gave written informed consent, and the study was approved by the institutional review board. Quantitative maps of the magnetic resonance imaging susceptibility parameters (R2* and QS) were computed for 25 patients with either clinically isolated syndrome (CIS) or relapsing-remitting MS, as well as for 15 age- and sex-matched control subjects imaged at 7 T. The candidate MR imaging biomarkers were correlated with Extended Disability Status Scale (EDSS), time since CIS diagnosis, time since MS diagnosis, and age. RESULTS QS maps aided identification of significant, voxel-level increases in iron deposition in subcortical gray matter (GM) of patients with MS compared with control subjects. These voxel-level increases were not observed on R2* maps. Region-of-interest analysis of mean R2* and QS in subcortical GM demonstrated that R2* (R ≥ 0.39, P < .01) and QS (R ≥ 0.44, P < .01) were strongly correlated with EDSS. In white matter (WM), the volume of total WM damage (defined by a z score of less than -2.0 criterion, indicating demyelination) on QS maps correlated significantly with EDSS (R = 0.46, P = .02). Voxelwise QS also supported a significant contribution of age to demyelination in patients with MS, suggesting that age-adjusted clinical scores may provide more robust measures of MS disease severity compared with non-age-adjusted scores. CONCLUSION Using QS and R2* mapping, evidence of both significant increases in iron deposition in subcortical GM and myelin degeneration along the WM skeleton of patients with MS was identified. Both effects correlated strongly with EDSS.
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Affiliation(s)
- David A Rudko
- From the Department of Physics (D.A.R., R.S.M.), Center for Functional and Metabolic Mapping, Robarts Research Institute (D.A.R., I.S., J.S.G., R.S.M.), and Department of Neurology, University Hospital (M.K.), University of Western Ontario, 1151 Richmond St North, London, ON, Canada N6A 5B7
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Kieseier BC. The challenges of measuring disability accumulation in relapsing–remitting multiple sclerosis: evidence from interferon beta treatments. Expert Rev Neurother 2014; 14:105-20. [DOI: 10.1586/14737175.2014.869478] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Scalfari A, Neuhaus A, Daumer M, Muraro PA, Ebers GC. Onset of secondary progressive phase and long-term evolution of multiple sclerosis. J Neurol Neurosurg Psychiatry 2014; 85:67-75. [PMID: 23486991 DOI: 10.1136/jnnp-2012-304333] [Citation(s) in RCA: 202] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To assess factors affecting the rate of conversion to secondary progressive (SP) multiple sclerosis (MS) and its subsequent evolution. METHODS Among 806 patients with relapsing remitting (RR) onset MS from the London Ontario database, we used Kaplan-Meier, Cox regression and multiple logistic regression analyses to investigate the effect of baseline clinical and demographic features on (1) the probability of, and the time to, SP disease, (2) the time to bedbound status (Disability Status Scale (DSS 8)) from onset of progression. RESULTS The risk of entering the SP phase increased proportionally with disease duration (OR=1.07 for each additional year; p<0.001). Shorter latency to SP was associated with shorter times to severe disability. The same association was found even when patients were grouped by number of total relapses before progression. However, the evolution of the SP phase was not influenced by the duration of the RR phase. Male sex (HR=1.41; p<0.001), older age at onset (age ≤20 and 21-30 vs >30 HR=0.52 (p<0.001), 0.65 (p<0.001), respectively) and high early relapse frequency (1-2 attacks vs ≥3 HR=0.63 (p<0.001), 0.75 (p=0.04), respectively) predicted significantly higher risk of SP MS and shorter latency to progression. Times to DSS 8 from onset of progression were significantly shorter among those with high early relapse frequency (≥3 attacks), and among those presenting with cerebellar and brainstem symptoms. CONCLUSIONS The onset of SP MS is the dominant determinant of long-term prognosis, and its prevention is the most important target measure for treatment. Baseline clinical features of early relapse frequency and age at onset can be used to select groups at higher risk of developing severe disability based on the probability of their disease becoming progressive within a defined time period.
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Affiliation(s)
- Antonio Scalfari
- Division of Experimental Medicine, Centre for Neuroscience, Imperial College London, , London, UK
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Hojjati SMM, Hojjati SA, Baes M, Bijani A. Relation between EDSS and monosymptomatic or polysymptomatic onset in clinical manifestations of multiple sclerosis in Babol, northern Iran. CASPIAN JOURNAL OF INTERNAL MEDICINE 2014; 5:5-8. [PMID: 24490005 PMCID: PMC3894462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 11/15/2013] [Accepted: 11/25/2013] [Indexed: 06/03/2023]
Abstract
BACKGROUND Polysymptomatic or monosymptomatic patients of multiple sclerosis (MS) at the onset of the disease may influence the natural course of the disease. The purpose of this study was to determine the prognostic effect of the expanded disability status scale (EDSS) of patients with MS with polysymptomatic or monosymptomatic onset of the disease. METHODS From 2001 to 2011, 263 patients with definitive diagnosis of MS were investigated in Shahid Beheshti Teaching Hospital in Babol, Iran. These patients were assessed regarding mono-or poly symptoms at the beginning of their disease. MRI of brain and spinal cord was done for all cases. These cases were evaluated every three months interval. EDSS of each patient at the beginning of their disease and then yearly were evaluated and registered. RESULTS One hundred sixty-one subjects (61.2%) were monosymptomatic and 102 (38.8%) were polysymptomatic at the onset of their disease. The mean age of patients with monosymptomatic onset was 26.81+84 while in polysymptomatic was 26.35+7.7 years (P=0.656). Sex, place of residence and marriage statusbetween these two groups were equal. The mean EDSS in monosymptomatic and polysymptomatic patients were 1.37±0.64 and 2.16±0.714, respectively (P=0.0001). After the initiation of treatment, reduction of EDSS was seen in both groups but after the reduction in the first year, an increase of EDSS was seen in both groups. But there was no significant difference in the increase of EDSS in both groups. CONCLUSION The results showed that the mean EDSS in monosymptomatic was lower than the polysymptomatic patients before treatment, but after treatment, this value does not differ in the increase of EDSS.
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Affiliation(s)
| | | | - Mobina Baes
- Babol University of Medical Sciences, Babol, Iran
| | - Ali Bijani
- None- Communicable Pediatric Diseases Research Center, Babol University of Medical Sciences, Babol, Iran
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Kalincik T, Vivek V, Jokubaitis V, Lechner-Scott J, Trojano M, Izquierdo G, Lugaresi A, Grand'maison F, Hupperts R, Oreja-Guevara C, Bergamaschi R, Iuliano G, Alroughani R, Van Pesch V, Amato MP, Slee M, Verheul F, Fernandez-Bolanos R, Fiol M, Spitaleri DL, Cristiano E, Gray O, Cabrera-Gomez JA, Shaygannejad V, Herbert J, Vucic S, Needham M, Petkovska-Boskova T, Sirbu CA, Duquette P, Girard M, Grammond P, Boz C, Giuliani G, Rio ME, Barnett M, Flechter S, Moore F, Singhal B, Bacile EA, Saladino ML, Shaw C, Skromne E, Poehlau D, Vella N, Spelman T, Liew D, Kilpatrick TJ, Butzkueven H. Sex as a determinant of relapse incidence and progressive course of multiple sclerosis. ACTA ACUST UNITED AC 2013; 136:3609-17. [PMID: 24142147 DOI: 10.1093/brain/awt281] [Citation(s) in RCA: 135] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The aim of this work was to evaluate sex differences in the incidence of multiple sclerosis relapses; assess the relationship between sex and primary progressive disease course; and compare effects of age and disease duration on relapse incidence. Annualized relapse rates were calculated using the MSBase registry. Patients with incomplete data or <1 year of follow-up were excluded. Patients with primary progressive multiple sclerosis were only included in the sex ratio analysis. Relapse incidences over 40 years of multiple sclerosis or 70 years of age were compared between females and males with Andersen-Gill and Tweedie models. Female-to-male ratios stratified by annual relapse count were evaluated across disease duration and patient age and compared between relapse-onset and primary progressive multiple sclerosis. The study cohort consisted of 11 570 eligible patients with relapse-onset and 881 patients with primary progressive multiple sclerosis. Among the relapse-onset patients (82 552 patient-years), 48,362 relapses were recorded. Relapse frequency was 17.7% higher in females compared with males. Within the initial 5 years, the female-to-male ratio increased from 2.3:1 to 3.3:1 in patients with 0 versus ≥4 relapses per year, respectively. The magnitude of this sex effect increased at longer disease duration and older age (P < 10(-12)). However, the female-to-male ratio in patients with relapse-onset multiple sclerosis and zero relapses in any given year was double that of the patients with primary progressive multiple sclerosis. Patient age was a more important determinant of decline in relapse incidence than disease duration (P < 10(-12)). Females are predisposed to higher relapse activity than males. However, this difference does not explain the markedly lower female-to-male sex ratio in primary progressive multiple sclerosis. Decline in relapse activity over time is more closely related to patient age than disease duration.
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Affiliation(s)
- Tomas Kalincik
- 1 Department of Medicine, University of Melbourne, Melbourne, Australia
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Baumstarck K, Pelletier J, Butzkueven H, Fernández O, Flachenecker P, Idiman E, Stecchi S, Boucekine M, Auquier P. Health-related quality of life as an independent predictor of long-term disability for patients with relapsing-remitting multiple sclerosis. Eur J Neurol 2013; 20:907-14, e78-9. [PMID: 23347258 DOI: 10.1111/ene.12087] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Accepted: 11/29/2012] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Predictive factors of long-term disability in patients with relapsing-remitting multiple sclerosis (RR-MS) are well known, but the weight of these factors does not explain the entire change of disability. Few studies have examined the predictive value of quality of life (QoL). OBJECTIVES To determine the value of the initial level of QoL to predict changes in the disability status of patients with MS and to determine if specific-MS questionnaires predict more accuracy in these changes than generic questionnaires. METHODS DESIGN multicenter, multi-regional, and longitudinal study. Main inclusion criteria: patients with RR-MS subtype and an Expanded Disability Status Scale (EDSS) score lower than 7.0. Sociodemographic and clinical data were recorded at baseline. Every 6 months up to month 24, QoL (MusiQoL and SF-36) was recorded. At 24 months, individuals were defined into two 'disability change' groups: the worsened and not worsened patients. RESULTS Five-hundred and twenty-six patients were enrolled: 386 (83.7%) not worsened and 75 (16.3%) worsened patients at 24 months. The activity of daily living and the relationship with healthcare workers dimensions of MusiQoL questionnaire were independent predictors of change in the EDSS score after 24 months. The physical-functioning dimension of the SF-36 questionnaire predicted independently disability change after 24 months. CONCLUSIONS Patient-reported baseline QoL levels provide additional prognostic information on MS disability beyond traditional clinical or sociodemographic factors. These findings reinforce the importance of incorporating a patient's evaluation of their own QoL level during patient monitoring and the assessment of treatment effects.
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Affiliation(s)
- K Baumstarck
- EA3279 Self-perceived Health Assessment Research Unit, School of Medicine, Aix-Marseille Université, Marseille, France
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Comi C, Cappellano G, Chiocchetti A, Orilieri E, Buttini S, Ghezzi L, Galimberti D, Guerini F, Barizzone N, Perla F, Leone M, D'Alfonso S, Caputo D, Scarpini E, Cantello R, Dianzani U. The impact of osteopontin gene variations on multiple sclerosis development and progression. Clin Dev Immunol 2012; 2012:212893. [PMID: 23008732 PMCID: PMC3447190 DOI: 10.1155/2012/212893] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2012] [Revised: 08/03/2012] [Accepted: 08/06/2012] [Indexed: 12/12/2022]
Abstract
Osteopontin is a proinflammatory molecule, modulating TH1 and TH17 responses. Several reports suggest its involvement in multiple sclerosis (MS) pathogenesis. We previously reported that OPN gene variations at the 3' end are a predisposing factor for MS development and evolution. In this paper, we extended our analysis to a gene variation at the 5' end on the -156G > GG single nucleotide polymorphism (SNP) and replicated our previous findings at the 3' end on the +1239A > C SNP. We found that only +1239A > C SNP displayed a statistically significant association with MS development, but both +1239A > C and -156G > GG had an influence on MS progression, since patients homozygous for both +1239A and -156GG alleles displayed slower progression of disability and slower switch to secondary progression than those carrying +1239C and/or -156G and those homozygous for +1239A only. Moreover, patients homozygous for +1239A also displayed a significantly lower relapse rate than those carrying +1239C, which is in line with the established role of OPN in MS relapses.
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Affiliation(s)
- Cristoforo Comi
- Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Eastern Piedmont, Amedeo Avogadro, Novara, Italy.
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Conway DS, Miller DM, O’Brien RG, Cohen JA. Long term benefit of multiple sclerosis treatment: an investigation using a novel data collection technique. Mult Scler 2012; 18:1617-24. [DOI: 10.1177/1352458512449681] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: The Knowledge Program (KP) is an initiative to collect self-reported patient data and objective clinician assessments electronically at each outpatient clinical encounter. Available outcomes include the EuroQoL-5D (EQ5D), Patient Health Questionnaire-9 (PHQ9), Multiple Sclerosis Performance Scales (MSPS), and the timed 25-foot walk (T25FW). Objective: This study was designed to use the KP to investigate the long-term benefits of early treatment (ET) in multiple sclerosis (MS). Methods: The KP was queried for patients with relapsing–remitting MS or secondary progressive MS who were ≥5 years from symptom onset. ET was defined as treatment with an approved agent for ≥3 of the first five years after symptom onset. Propensity scores for ET were calculated based on early clinical characteristics. Patients were divided into propensity score quintiles and linear regression models were constructed to determine the treatment effect sizes and confidence intervals. Results: From the 1082 patients that met entry criteria, 453 patients (41.9%) received ET. Those patients receiving ET showed significantly better scores on the EQ5D index, PHQ9, and MSPS, but only in the upper three propensity quintiles. For the T25FW, ET did not result in significantly better times in any quintile. Conclusions: These results suggest that ET of MS is beneficial but the effect appears modest.
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Affiliation(s)
- Devon S Conway
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic Foundation, USA
| | - Deborah M Miller
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic Foundation, USA
| | - Ralph G O’Brien
- Department of Epidemiology and Biostatistics, Case Western Reserve University, USA
| | - Jeffrey A Cohen
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic Foundation, USA
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Stübgen JP. Subacute encephalopathy associated with aquaporin-4 autoantibodies: a report of 2 adult cases. Clin Neurol Neurosurg 2012; 114:1110-3. [PMID: 22316608 DOI: 10.1016/j.clineuro.2012.01.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2010] [Revised: 11/27/2011] [Accepted: 01/15/2012] [Indexed: 01/15/2023]
Affiliation(s)
- Joerg-Patrick Stübgen
- Department of Neurology and Neuroscience, Weill Medical College of Cornell University, New York, NY 10065-4885, USA.
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Naldi P, Collimedaglia L, Vecchio D, Rosso MG, Perl F, Stecco A, Monaco F, Leone MA. Predictors of attack severity and duration in multiple sclerosis: a prospective study. Open Neurol J 2011; 5:75-82. [PMID: 22216064 PMCID: PMC3249638 DOI: 10.2174/1874205x01105010075] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2011] [Revised: 10/02/2011] [Accepted: 10/05/2011] [Indexed: 11/25/2022] Open
Abstract
Objective: To evaluate predictors of severity and duration of early Multiple Sclerosis (MS) attacks. Methods: We analyzed 248 attacks in 95 patients in a prospective study. Severity: the difference between the EDSS score at the day of maximum worsening and the EDSS score before the onset of the attack. Duration: the time between the date of onset of the first symptom and the date of maximum improvement of the last symptom. Results: The number of involved Functional Systems (FS), FS type (brainstem and pyramidal), and total attack duration were linked to severity. Number of FS involved, FS type (sphincteric and sensory), and severity of the attack were related to duration. Neither severity nor duration were correlated to other predictors: gender, age and season at attack onset, speed of onset, infections in the preceding month, age at first attack, season of birth and first attack, CSF examination, first brain MRI, recovery from the first attack. In the multivariate analysis, the Odds Ratio (OR) and Confidence Intervals (CI) for severe attacks was 3.6, 1.7-7.7 for involvement of pyramidal FS, 2.6, 1.2-6.0 for brainstem and 2.5, 1.2-5.3 for long attack duration. Sphincteric (4.4; 1.7-11.0) and sensory FS (1.8; 1.0-3.2) were the only variables explaining duration. The probability of a second moderate/severe or long attack was not influenced by severity or duration of the first. Conclusion: FS are predictive of severity and duration of early MS attacks. Severity and duration of the first attack do not predict severity and duration of the second.
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Affiliation(s)
- P Naldi
- Clinica Neurologica, A. Avogadro University of Piemonte Orientale and A.O.U. Maggiore della Carità, Novara, Italy
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Abstract
As with susceptibility to disease, it is likely that multiple factors interact to influence the phenotype of multiple sclerosis and long-term disease outcomes. Such factors may include genetic factors, socioeconomic status, comorbid diseases, and health behaviors, as well as environmental exposures. An improved understanding of the influence of these factors on disease course may reap several benefits, such as improved prognostication, allowing us to tailor disease management with respect to intensity of disease-modifying therapies and changes in specific health behaviors, in the broad context of coexisting health issues. Such information can facilitate appropriately adjusted comparisons within and between populations. Elucidation of these factors will require careful study of well-characterized populations in which the roles of multiple factors are considered simultaneously.
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Affiliation(s)
- Ruth Ann Marrie
- University of Manitoba, Health Sciences Center, GF-533, 820 Sherbrook Street, Winnipeg, Manitoba, R3A 1R9, Canada.
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Patti F, Amato MP, Trojano M, Solaro C, Pappalardo A, Zipoli V, Portaccio E, Paolicelli D, Paolillo A, Mennini FS, Marcellusi A, Ricci C, Battaglia MA. Multiple sclerosis in Italy: cost-of-illness study. Neurol Sci 2011; 32:787-94. [PMID: 21409509 DOI: 10.1007/s10072-011-0499-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Accepted: 02/16/2011] [Indexed: 12/01/2022]
Abstract
This study estimates the direct costs of multiple sclerosis (MS) in Italy from the perspective of the National Health System. Patients diagnosed with MS for ≥1 year prior to study entry were included in the analysis; neurological disability was assessed using the Expanded Disability Status Scale (EDSS). Cost variables were analyzed according to: MS phenotype, disease course over the previous year and EDSS rating. A total of 510 patients were included in the analysis. Overall costs were significantly higher for relapsing-remitting MS and secondary progressive MS than for primary progressive MS (P < 0.05). Costs were higher for EDSS scores 0.0-3.5 and 4.0-6.0 than for scores > 6.0 (P < 0.05). The extrapolated data gave an estimated annual direct cost of MS per patient of <euro>18,030. In conclusion, relapsing-remitting MS or secondary progressive MS phenotypes and lower estimated EDSS scores appear to be associated with higher costs.
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Affiliation(s)
- F Patti
- Multiple Sclerosis Centre Sicilia Region, First Neurology Clinic, University Hospital Catania, Catania, Italy
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Seewann A, Kooi EJ, Roosendaal SD, Barkhof F, van der Valk P, Geurts JJG. Translating pathology in multiple sclerosis: the combination of postmortem imaging, histopathology and clinical findings. Acta Neurol Scand 2009; 119:349-55. [PMID: 19254283 DOI: 10.1111/j.1600-0404.2008.01137.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Studies combining postmortem magnetic resonance imaging (MRI) and histopathology have provided important insights into the abnormalities reflected by MRI. MATERIALS AND METHODS A short overview of these studies applied to multiple sclerosis (MS) is provided in this review, and the Amsterdam postmortem imaging protocol is specifically highlighted. CONCLUSION Postmortem MRI and histopathology correlation studies have enabled a direct translation of basic pathology in MS to the clinical setting, and have simultaneously served as a biological validation of new MRI techniques.
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Affiliation(s)
- A Seewann
- Department of Neurology, VU University Medical Centre, MS Centre Amsterdam, Amsterdam, The Netherlands
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Confavreux C, Vukusic S. The clinical epidemiology of multiple sclerosis. Neuroimaging Clin N Am 2009; 18:589-622, ix-x. [PMID: 19068404 DOI: 10.1016/j.nic.2008.09.002] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
A comprehensive knowledge of the natural course and prognosis of multiple sclerosis is of utmost importance for a physician to make it affordable in simple descriptive terms to a patient when personal and medical decisions are to be taken. It is still topical because the currently acknowledged disease-modifying agents only marginally alter the overall prognosis of the disease. It provides reference for evaluating the efficacy of a therapeutic intervention in clinical trials; clues for public health services, health insurance companies, and pharmaceutical industry in their respective activities; and insights into the pathophysiology and the treatment of multiple sclerosis. Precise, consistent, and reliable data from appropriate cohorts have become available and knowledge is fairly comprehensive.
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Affiliation(s)
- Christian Confavreux
- Service de Neurologie A, Centre de Coordination EDMUS et INSERM U842, Hôpital Neurologique Pierre Wertheimer, 59 Boulevard Pinel, 69677 Lyon-Bron cedex, France.
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Karabon L, Kosmaczewska A, Bilinska M, Pawlak E, Ciszak L, Jedynak A, Jonkisz A, Noga L, Pokryszko-Dragan A, Koszewicz M, Frydecka I. The CTLA-4 gene polymorphisms are associated with CTLA-4 protein expression levels in multiple sclerosis patients and with susceptibility to disease. Immunology 2009; 128:e787-96. [PMID: 19740340 DOI: 10.1111/j.1365-2567.2009.03083.x] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Cytotoxic T-lymphocyte antigen-4 (CTLA-4) is an important molecule in the down-regulation of T-cell activation. A study was undertaken to evaluate the association of the CTLA-4 gene polymorphisms -319C/T, +49A/G, (AT)(n), CT60A/G and Jo31G/T with the levels of membrane CTLA-4 (mCTLA-4) and cytoplasmic CTLA-4 (cCTLA-4) in CD4(+) T lymphocytes from patients with multiple sclerosis (MS) and with susceptibility to MS, and the course of the disease. It was found that the Jo31GG and CT60GG genotypes were associated with decreased mean fluorescence intensity (MFI) of total CTLA-4 (mCTLA-4 + cCTLA-4) molecules in CD4(+) T cells from both relapsing-remitting (RR) and secondary progressive (SP) MS patients compared with others. Consequently, possessing the Jo31G allele and/or the CT60G allele were associated with susceptibility to MS. The percentages of cells expressing mCTLA-4 and cCTLA-4 in RR patients were higher in carriers of the alleles non-predisposing to MS (namely CT60A and Jo31T), but the percentages of corresponding cells were unexpectedly significantly lower in SP patients than in RR patients. Increased risk of paresthesia and pyramidal signs as a first manifestation of disease, and earlier transition to the SP form in those patients, was also noted. It is hypothesized that the decreasing frequencies of cells expressing immunosuppressive mCTLA-4 and cCTLA-4 in carriers of alleles non-predisposing to MS (i.e. CT60A and Jo31T) may lead to inadequate down-regulation of ongoing T-cell responses in these patients and, as a consequence, earlier progression of disease from the RR form to the SP form.
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Affiliation(s)
- Lidia Karabon
- Department of Experimental Therapy, Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland.
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Debouverie M, Pittion-Vouyovitch S, Louis S, Guillemin F. Natural history of multiple sclerosis in a population-based cohort. Eur J Neurol 2008; 15:916-21. [PMID: 18637953 DOI: 10.1111/j.1468-1331.2008.02241.x] [Citation(s) in RCA: 116] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE We sought to identify predictive clinical factors of disability during initial course in multiple sclerosis (MS) patients. METHODS A total of 2871 MS patients from the LORSEP (Lorraine Multiple Sclerosis) population-based cohort were analyzed. The relationships between baseline demographic, clinical predictors and time to assignment of Expanded Disability Status Scale (EDSS) scores of 3, 4 and 6 were assessed using a Cox regression model. RESULTS Multivariate analysis showed that, for relapsing-remitting patients, a shorter time to assignment of an EDSS score of 4 was associated with an older age of onset of MS and incomplete recovery from the first relapse. Median times were not influenced by gender or the time between the first two relapses. The results also demonstrated that MS progression is independent of the initial clinical data once an EDSS score of 4 is reached rather than a score of 3 because the time from EDSS 3 to assignment of EDSS 4 were correlated with predicting variables. The data were very different for the time between assignment of scores of 4 and 6 because the median times were not influenced by any of the predicting variables.
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Affiliation(s)
- M Debouverie
- Department of Neurology, Central Hospital, Nancy, France.
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Cappellano G, Orilieri E, Comi C, Chiocchetti A, Bocca S, Boggio E, Bernardone IS, Cometa A, Clementi R, Barizzone N, D'Alfonso S, Corrado L, Galimberti D, Scarpini E, Guerini FR, Caputo D, Paolicelli D, Trojano M, Figà-Talamanca L, Salvetti M, Perla F, Leone M, Monaco F, Dianzani U. Variations of the perforin gene in patients with multiple sclerosis. Genes Immun 2008; 9:438-44. [PMID: 18496551 DOI: 10.1038/gene.2008.35] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Perforin is involved in cell-mediated cytotoxicity and mutations of its gene (PRF1) cause familial hemophagocytic lymphohistiocytosis (FLH2). PRF1 sequencing in 190 patients with multiple sclerosis and 268 controls detected two FLH2-associated variations (A91V, N252S) in both groups and six novel mutations (C999T, G1065A, G1428A, A1620G, G719A, C1069T) in patients. All together, carriers of these variations were more frequent in patients than in controls (phenotype frequency: 17 vs 9%, P=0.0166; odds ratio (OR)=2.06, 95% confidence interval (CI): 1.13-3.77). Although A91V was the most frequent variation and displayed a trend of association with multiple sclerosis (MS) in the first population of patients and controls (frequency of the 91V allele: 0.076 vs 0.043, P=0.044), we used it as a marker to confirm PRF1 involvement in MS and assessed its frequency in a second population of 966 patients and 1520 controls. Frequency of the 91V allele was significantly higher in patients than in controls also in the second population (0.075 vs 0.058%, P=0.019). In the combined cohorts of 1156 patients and 1788 controls, presence of the 91V allele in single or double dose conferred an OR=1.38 (95% CI=1.10-1.74). These data suggest that A91V and possibly other perforin variations indicate susceptibility to MS.
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Affiliation(s)
- G Cappellano
- Department of Medical Sciences, Interdisciplinary Research Center of Autoimmune Diseases, A Avogadro University of Eastern Piedmont, Novara, Italy
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Tremlett H, Yinshan Zhao, Devonshire V. Natural history of secondary-progressive multiple sclerosis. Mult Scler 2008; 14:314-24. [DOI: 10.1177/1352458507084264] [Citation(s) in RCA: 158] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective To examine prognosis and risk factors for progression to and from secondary-progressive multiple sclerosis (SPMS). Methods Patients with definite relapsing—remitting MS (RRMS), onset before July 1988, attending a British—Columbian MS clinic before July 1998, and at least one Expanded Disability Status Scale (EDSS) scores were selected from the population-based database. Time to SPMS (from onset and birth) and the subsequent time to EDSS 8 were examined, as were potential risk factors. Results In all, 2484/2837 (87.6%) were relapsing—remitting (RR) at onset, with 1445/2484 (58.2%) reaching SPMS, taking a median 18.9 years (95% CI: 18.2—19.7). Those younger at onset took longer to reach SPMS ( P < 0.0005), but did so at a younger age ( P < 0.0005). Males reached SPMS more rapidly from onset and at a younger age ( P < 0.0005), but were around the same age as females at EDSS 8 ( P = 0.975). Characteristics at SPMS onset associated with a longer time from SPMS to EDSS 8 and an older age at EDSS 8 were: longer disease duration ( P < 0.02), older age ( P < 0.01) and lower EDSS ( P < 0.0005). Onset symptoms had little influence on time to SPMS or subsequent progression. Conclusions The RR phase lasted on average almost two decades, being shorter for males and those older at onset of MS. However, neither were necessarily unfavorable predictors as those older at onset were typically older at SPMS and eventually males and females reached EDSS 8 at around the same age. A longer RR phase was a favorable predictor of disease progression in SPMS. Furthermore, reaching SPMS at an older age or lower EDSS did not necessarily confer a worse outcome. Multiple Sclerosis 2008; 14: 314—324. http://msj.sagepub.com
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Affiliation(s)
- Helen Tremlett
- Department of Medicine (Neurology), rm S159, 2211 Wesbrook Mall, University of British Columbia, Vancouver BC V6T 2B5, Canada, , Department of Health Care and Epidemiology, rm S159, 2211 Wesbrook Mall, University of British Columbia, Vancouver BC V6T 2B5, Canada
| | - Yinshan Zhao
- MS/MRI Research Group, rm S159, 2211 Wesbrook Mall, University of British Columbia, Vancouver BC V6T 2B5, Canada
| | - Virginia Devonshire
- Department of Medicine (Neurology), rm S159, 2211 Wesbrook Mall, University of British Columbia, Vancouver BC V6T 2B5, Canada
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Hirst CL, Pace A, Pickersgill TP, Jones R, McLean BN, Zajicek JP, Scolding NJ, Robertson NP. Campath 1-H treatment in patients with aggressive relapsing remitting multiple sclerosis. J Neurol 2008; 255:231-8. [PMID: 18283404 DOI: 10.1007/s00415-008-0696-y] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2007] [Revised: 07/05/2007] [Accepted: 07/06/2007] [Indexed: 11/29/2022]
Abstract
Campath 1-H (Alemtuzumab) is a humanised monoclonal antibody which targets the CD52 antigen, a low molecular weight glycoprotein present on the surface of most lymphocyte lineages, causing complement mediated lysis and rapid and prolonged T lymphocyte depletion. Following encouraging initial data from other centres we report our open label experience of using Campath 1-H as a treatment in aggressive relapsing multiple sclerosis in a consecutive series of 39 highly selected patients treated across three regional centres and followed for a mean of 1.89 years. The mean annualised relapse rate fell from 2.48 pre treatment to 0.19 post treatment with 29% of documented relapses observed in the 12 weeks following initial infusion. Mean change in EDSS was -0.36 overall and -0.15 in those patients completing > or =1 year of follow- up. Eighty-three per cent of patients had stable or improved disability following treatment. Infusion related side effects were common including rash, headache and pyrexia but were usually mild and self limiting. Transient worsening of pre-existing neurological deficits during infusion was observed in 3 patients. 12 patients developed biochemical evidence of autoimmune dysfunction, 2 patients developed thyroid disease and 1 patient autoimmune skin disease. We conclude that relapse rates fall following Campath 1-H. Whilst side effects were common these were normally self limiting or easily managed, suggesting Campath 1-H may be of use in the treatment of very active relapsing remitting multiple sclerosis.
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Affiliation(s)
- C L Hirst
- Department of Neurology, University Hospital of Wales, Heath Park, Cardiff, UK
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Clinical characteristics of patients with late-onset multiple sclerosis. J Neurol 2008; 255:697-702. [DOI: 10.1007/s00415-008-0778-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2007] [Revised: 10/01/2007] [Accepted: 10/16/2007] [Indexed: 10/22/2022]
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