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Silva BA, Carnero Contentti E, Becker J, Carranza JI, Correa-Díaz PE, Galleguillos Goiry L, Garcea O, Gracia F, Hamuy F, Macías MA, Navas C, Nuñez S, Rojas JI, Farez MF, Alonso R, López P. Latin American consensus recommendations on the risk of infections in people with multiple sclerosis treated with disease modifying drugs. Mult Scler Relat Disord 2023; 77:104840. [PMID: 37399673 DOI: 10.1016/j.msard.2023.104840] [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: 01/08/2023] [Revised: 05/14/2023] [Accepted: 06/16/2023] [Indexed: 07/05/2023]
Abstract
INTRODUCTION The emergence of several therapeutic options in multiple sclerosis (MS), which significantly modify the immune system functioning, has led to the need for the consideration of additional factors, such as risk of infections, in the decision-making process. The aim of these consensus recommendations was to discuss and perform a practical guide to Latin American neurologists on the risk of infections at diagnosis, follow-up and prior to initiation of DMDs. METHODS A panel of Latin American neurologists, experts in demyelinating diseases and dedicated to management and care of MS patients, gathered during 2021 and 2022 to make consensus recommendations on the risk of infections in PwMS treated with DMDs in Latin America. The RAND/UCLA methodology was developed to synthesize the scientific evidence and expert opinions on health care topics and was used for reaching a formal agreement. RESULTS Recommendations were established based on relevant published evidence and expert opinion, focusing on: 1- baseline infection disease and vaccination status; 2- opportunistic infections; 3- progressive multifocal leukoencephalopathy; 4- genitourinary system infections; 5- respiratory tract infections; 6- digestive system infections, 7-others local infections and 8- COVID-19. CONCLUSION The recommendations of this consensus seek to optimize the care, management and treatment of PwMS in Latin America. The standardized evidence-based care of pwMS infections will allow better outcomes.
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Affiliation(s)
- Berenice A Silva
- Centro Universitario de Esclerosis Múltiple (CUEM), Hospital JM Ramos Mejía, Buenos Aires, Argentina; Sección Enfermedades Desmielinizantes, Hospital Italiano de Buenos Aires, Argentina.
| | - Edgar Carnero Contentti
- Unidad de Neuroinmunología, Departamento de Neurociencias, Hospital Alemán de Buenos Aires, Argentina
| | - Jefferson Becker
- Hospital São Lucas - Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
| | - José I Carranza
- Sección Zoopatología y Parasitología Médica, Hospital Muñiz, Buenos Aires, Argentina
| | | | | | - Orlando Garcea
- Centro Universitario de Esclerosis Múltiple (CUEM), Hospital JM Ramos Mejía, Buenos Aires, Argentina
| | | | - Fernando Hamuy
- Departamento de Neurología, Hospital IMT, Paraguay; Departamento de Neurología de Diagnostico, Codas Thompson, Paraguay
| | | | - Carlos Navas
- Clínica Enfermedad Desmielinizantes, Clinica Universitaria Colombia, Colombia
| | - Sebastián Nuñez
- Servicio de Infectología, Sanatorio Güemes, Buenos Aires, Argentina
| | - Juan I Rojas
- Service of Neurology, Hospital Universitario CEMIC, Buenos Aires, Argentina; Centro de Esclerosis Múltiple de Buenos Aires (CEMBA), Buenos Aires, Argentina
| | | | - Ricardo Alonso
- Centro Universitario de Esclerosis Múltiple (CUEM), Hospital JM Ramos Mejía, Buenos Aires, Argentina; Servicio de Neurología, Sanatorio Güemes, Buenos Aires, Argentina
| | - Pablo López
- Unidad de Neuroinmunología, Departamento de Neurociencias, Hospital Alemán de Buenos Aires, Argentina
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Tortorella C, Aiello A, Gasperini C, Agrati C, Castilletti C, Ruggieri S, Meschi S, Matusali G, Colavita F, Farroni C, Cuzzi G, Cimini E, Tartaglia E, Vanini V, Prosperini L, Haggiag S, Galgani S, Quartuccio ME, Salmi A, Repele F, Gerarda Altera AM, Cristofanelli F, D'Abramo A, Bevilacqua N, Corpolongo A, Puro V, Vaia F, Capobianchi MR, Ippolito G, Nicastri E, Goletti D. Humoral- and T-Cell-Specific Immune Responses to SARS-CoV-2 mRNA Vaccination in Patients With MS Using Different Disease-Modifying Therapies. Neurology 2021; 98:e541-e554. [PMID: 34810244 PMCID: PMC8826460 DOI: 10.1212/wnl.0000000000013108] [Citation(s) in RCA: 115] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 11/04/2021] [Indexed: 12/04/2022] Open
Abstract
Background and Objectives To evaluate the immune-specific response after full severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination of patients with multiple sclerosis (MS) treated with different disease-modifying drugs by the detection of both serologic and T-cell responses. Methods Healthcare workers (HCWs) and patients with MS, having completed the 2-dose schedule of an mRNA-based vaccine against SARS-CoV-2 in the past 2–4 weeks, were enrolled from 2 parallel prospective studies conducted in Rome, Italy, at the National Institute for Infectious diseases Spallanzani–IRCSS and San Camillo Forlanini Hospital. Serologic response was evaluated by quantifying the region-binding domain (RBD) and neutralizing antibodies. Cell-mediated response was analyzed by a whole-blood test quantifying interferon (IFN)–γ response to spike peptides. Cells responding to spike stimulation were identified by fluorescence-activated cell sorting analysis. Results We prospectively enrolled 186 vaccinated individuals: 78 HCWs and 108 patients with MS. Twenty-eight patients with MS were treated with IFN-β, 35 with fingolimod, 20 with cladribine, and 25 with ocrelizumab. A lower anti-RBD antibody response rate was found in patients treated with ocrelizumab (40%, p < 0.0001) and fingolimod (85.7%, p = 0.0023) compared to HCWs and patients treated with cladribine or IFN-β. Anti-RBD antibody median titer was lower in patients treated with ocrelizumab (p < 0.0001), fingolimod (p < 0.0001), and cladribine (p = 0.010) compared to HCWs and IFN-β–treated patients. Serum neutralizing activity was present in all the HCWs tested and in only a minority of the fingolimod-treated patients (16.6%). T-cell–specific response was detected in the majority of patients with MS (62%), albeit with significantly lower IFN-γ levels compared to HCWs. The lowest frequency of T-cell response was found in fingolimod-treated patients (14.3%). T-cell–specific response correlated with lymphocyte count and anti-RBD antibody titer (ρ = 0.554, p < 0.0001 and ρ = 0.255, p = 0.0078 respectively). IFN-γ T-cell response was mediated by both CD4+ and CD8+ T cells. Discussion mRNA vaccines induce both humoral and cell-mediated specific immune responses against spike peptides in all HCWs and in the majority of patients with MS. These results carry relevant implications for managing vaccinations, suggesting promoting vaccination in all treated patients with MS. Classification of Evidence This study provides Class III data that SARS-CoV-2 mRNA vaccination induces both humoral and cell-mediated specific immune responses against viral spike proteins in a majority of patients with MS.
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Affiliation(s)
- Carla Tortorella
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Alessandra Aiello
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Claudio Gasperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Chiara Agrati
- Laboratory of Cellular Immunology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Concetta Castilletti
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Serena Ruggieri
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,Neuroimmunology Unit, IRCSS Fondazione Santa Lucia, Rome, Italy
| | - Silvia Meschi
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Giulia Matusali
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Francesca Colavita
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Chiara Farroni
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Gilda Cuzzi
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Eleonora Cimini
- Laboratory of Cellular Immunology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Eleonora Tartaglia
- Laboratory of Cellular Immunology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Valentina Vanini
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy.,UOS Professioni Sanitarie Tecniche, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Luca Prosperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Shalom Haggiag
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Simona Galgani
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | | | - Andrea Salmi
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Federica Repele
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Anna Maria Gerarda Altera
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Flavia Cristofanelli
- Laboratory of Cellular Immunology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Alessandra D'Abramo
- Clinical Division of Infectious Diseases, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy
| | - Nazario Bevilacqua
- Clinical Division of Infectious Diseases, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy
| | - Angela Corpolongo
- Clinical Division of Infectious Diseases, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy
| | - Vincenzo Puro
- UOC Emerging Infections and CRAIDS, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy
| | - Francesco Vaia
- Health Direction, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy
| | - Maria Rosaria Capobianchi
- Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
| | - Giuseppe Ippolito
- Scientific Direction, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy
| | - Emanuele Nicastri
- Clinical Division of Infectious Diseases, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy
| | - Delia Goletti
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, 00149 Rome, Italy
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Marrie RA, Tan Q, Ekuma O, Marriott JJ. Development and Internal Validation of a Disability Algorithm for Multiple Sclerosis in Administrative Data. Front Neurol 2021; 12:754144. [PMID: 34795632 PMCID: PMC8592934 DOI: 10.3389/fneur.2021.754144] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/11/2021] [Indexed: 12/04/2022] Open
Abstract
Objective: We developed and internally validated an algorithm for disability status in multiple sclerosis (MS) using administrative data. Methods: We linked administrative data from Manitoba, Canada to a clinical dataset with Expanded Disability Status Scale (EDSS) scores for people with MS. Clinical EDSS scores constituted the reference standard. We created candidate indicators using the administrative data. These included indicators based on use of particular health care services (home care, long-term care, rehabilitation admission), use of specific diagnostic codes (such as spasticity, quadriplegia), and codes based on use of Employment and Income Insurance. We developed algorithms to predict severe disability (EDSS ≥6.0), and to predict disability as a continuous measure. We manually developed algorithms, and also employed regression approaches. After we selected our preferred algorithms for disability, we tested their association with health care use due to any cause and infection after potential confounders. Results: We linked clinical and administrative data for 1,767 persons with MS, most of whom were women living in urban areas. All individual indicators tested had specificities >90% for severe disability, and all but a diagnosis of visual disturbance had positive predictive values (PPV) >70%. The combination of home care or long-term care use or rehabilitation admission had a sensitivity of 61.9%, specificity of 90.76%, PPV of 70.06% and negative predictive of 87.21%. Based on regression modeling, the best-performing algorithm for predicting the EDSS as a continuous variable included age, home care use, long-term care admission, admission for rehabilitation, visual disturbance, other paralytic syndromes and spasticity. The mean difference between observed and predicted values of the EDSS was −0.0644 (95%CI −0.1632, 0.0304). Greater disability, whether measured using the clinical EDSS or either of the administrative data algorithms was similarly associated with increased hospitalization rates due to any cause and infection. Conclusion: We developed and internally validated an algorithm for disability in MS using administrative data that may support population-based studies that wish to account for disability status but do not have access to clinical data sources with this information. We also found that more severe disability is associated with increased health care use, including due to infection.
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Affiliation(s)
- Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.,Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Qier Tan
- Manitoba Centre for Health Policy, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Okechukwu Ekuma
- Manitoba Centre for Health Policy, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - James J Marriott
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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Murtonen A, Lehto JT, Sumelahti ML. End of life in multiple sclerosis: Disability, causes and place of death among cases diagnosed from 1981 to 2010 in Pirkanmaa hospital district in Western Finland. Mult Scler Relat Disord 2021; 54:103139. [PMID: 34273609 DOI: 10.1016/j.msard.2021.103139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/29/2021] [Accepted: 07/04/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Mortality risk and causes of death have been widely studied in MS. Surveys on conditions related to approaching death have not been conducted before in Finland. OBJECTIVE Our aim was to sort out the possible needs for end of life (EOL) care in MS by examining causes, place of death and level of hospitalization by age and MS related disability before approaching death. MATERIALS Data included information for MS patients diagnosed from 1981 to 2010 in a Finnish university hospital district. Information on place and causes of death and care prior to death was based on death certificates from Statistics Finland. Decedents initial disease course, disease modifying treatment (DMT) use and MS related disability status by using EDSS were achieved from hospital records. RESULTS Data included 113 decedents. Level of disability showed EDSS 6.0 or higher in 54% of the patients. In relapsing onset MS (N 93, 80%) DMTs were used in 11%. Infections, respiratory or other, were the main immediate cause of death (51.3%, n 58) among cases with varying disability. Central or university hospital (42.5%) or community hospital ward (28.3%) were places of death in majority of cases and nursing home (13.3%), home (9.7%) or hospice (3.7%) less often. Place of death did not significantly differ between age-groups (Chi square p = 0.86). Mean age at death was 57 years (range 28-90, SD 13.86). Cardiovascular causes of death were reported mainly in age group 60 years or more and suicide in age group younger than 50 years. CONCLUSION The level of hospitalization was high at end of life in all age-groups. High MS related disability and immobility among decedents likely relates to infections as the most common cause of death. Along with our and earlier surveys in this field, we showed that places of death and level of disability before death share similarities in both younger and older age groups highlighting the need of palliative care and end of life care plans in all MS patients with triggers of poor survival. The recently published consensus definition featuring palliative care guideline in MS is aimed at improving end of life care in MS. Our results point at need for future studies in order to assess the impact of palliative care treatment guidelines in MS.
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Affiliation(s)
- Annukka Murtonen
- Faculty of Medicine and Health Technology, Tampere University, 33014 Finland.
| | - Juho T Lehto
- Faculty of Medicine and Health Technology, Tampere University, 33014 Finland; Palliative Care Centre and Department of Oncology, Tampere University Hospital, Tampere, Finland
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Otero-Romero S, Sánchez-Montalvá A, Vidal-Jordana A. Assessing and mitigating risk of infection in patients with multiple sclerosis on disease modifying treatment. Expert Rev Clin Immunol 2021; 17:285-300. [PMID: 33543657 DOI: 10.1080/1744666x.2021.1886924] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Introduction: The important development that the multiple sclerosis (MS) treatment field has experienced in the last years comes along with the need of dealing with new adverse events such as the increase risk of infections. In the shared therapeutic decision-making process, the MS expert neurologist should also balance the risks of specific infections under each particular treatment and be familiar with new mitigation strategies.Areas covered: In this review, the authors provide an up-to-date review of the infection risk associated with MS treatments with a specific focus on risk mitigating strategies. The search was conducted using Pubmed® database (2000 - present) to identify publications that reported infection rates and infection complications for each treatment (interferon beta, glatiramer acetate, teriflunomide, dimethyl fumarate, fingolimod, cladribine, natalizumab, alemtuzumab, rituximab, and ocrelizumab).Expert opinion: Since the emergence of the first natalizumab-related PML case, the arrival of new MS therapies has come hand in hand with new infectious complications. MS-specialist neurologist has to face new challenges regarding the management of immunosuppression-related infectious complications. The implementation of patient-centered management focus on preventive and mitigating strategies with a multidisciplinary approach should be seen in the future as a marker of excellence of MS management.
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Affiliation(s)
- Susana Otero-Romero
- Department of Preventive Medicine and Epidemiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Adrián Sánchez-Montalvá
- Department of Infectious Diseases. Hospital Universitari Vall d'Hebron, International Health Program Catalan Institute of Health (PROSICS), Universitat Autònoma De Barcelona, Barcelona, Spain.,Micobacteria Infections Study Group (GEIM) of the Spanish Society of Infectious Diseases (SEIMC), Spain
| | - Angela Vidal-Jordana
- Department of Neurology-Neuroimmunology and Multiple Sclerosis Centre of Catalonia (Cemcat). Hospital Universitari Vall d'Hebron, Universitat Autònoma De Barcelona, Barcelona, Spain
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Seery N, Sharmin S, Li V, Nguyen AL, Meaton C, Atvars R, Taylor N, Tunnell K, Carey J, Marriott MP, Buzzard KA, Roos I, Dwyer C, Baker J, Taylor L, Spriggs K, Kilpatrick TJ, Kalincik T, Monif M. Predicting Infection Risk in Multiple Sclerosis Patients Treated with Ocrelizumab: A Retrospective Cohort Study. CNS Drugs 2021; 35:907-918. [PMID: 33847902 PMCID: PMC8042832 DOI: 10.1007/s40263-021-00810-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/25/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Ocrelizumab safety outcomes have been well evaluated in clinical trials and open-label extension (OLE) studies. However, risk factors for infection in patients with multiple sclerosis (MS) receiving ocrelizumab have not been extensively studied in the real-world setting. OBJECTIVE The aim of this study was to examine factors determining risk of self-reported infections and antimicrobial use in patients receiving ocrelizumab for MS. METHODS A retrospective, observational cohort study was conducted in patients receiving ocrelizumab at the Royal Melbourne Hospital. Infection type and number were reported by patients, and the associations of potential clinical and laboratory risk factors with self-reported infection and antimicrobial use were estimated using univariate and multivariable logistic regression models. RESULTS A total of 185 patients were included in the study; a total of 176 infections were reported in 89 patients (46.1%), and antimicrobial use was identified in 47 patients (25.3%). In univariate analyses, a higher serum IgA was associated with reduced odds of infection (OR 0.44, 95% CI 0.25-0.76). In multivariable analyses, older age (OR 0.94, 95% CI 0.88-0.99), higher serum IgA (OR 0.37, 95% CI 0.17-0.80) and higher serum IgG (OR 0.81, 95% CI 0.67-0.99) were associated with reduced odds of infection. Older age (OR 0.85, 95% CI 0.75-0.96) and higher serum IgA (OR 0.23, 95% CI 0.07-0.79) were associated with reduced odds of antimicrobial use, whilst longer MS disease duration (OR 1.22, 95% CI 1.06-1.41) and higher Expanded Disability Status Scale (EDSS) score (OR 1.99, 95% CI 1.02-3.86) were associated with increased odds of antimicrobial use. CONCLUSIONS Higher serum IgA and IgG and older age were associated with reduced odds of infection. Our findings highlight that infection risk is not uniform in patients with MS receiving ocrelizumab and substantiate the need to monitor immunoglobulin levels pre-treatment and whilst on therapy.
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Affiliation(s)
- Nabil Seery
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Sifat Sharmin
- grid.1008.90000 0001 2179 088XClinical Outcomes Research Unit, University of Melbourne, Melbourne, VIC 3010 Australia ,grid.1008.90000 0001 2179 088XDepartment of Medicine, University of Melbourne, Melbourne, VIC 3010 Australia
| | - Vivien Li
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.1008.90000 0001 2179 088XFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052 Australia
| | - Ai-Lan Nguyen
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.1008.90000 0001 2179 088XClinical Outcomes Research Unit, University of Melbourne, Melbourne, VIC 3010 Australia ,grid.1008.90000 0001 2179 088XDepartment of Medicine, University of Melbourne, Melbourne, VIC 3010 Australia
| | - Claire Meaton
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Roberts Atvars
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Nicola Taylor
- grid.416153.40000 0004 0624 1200Day Medical Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Kelsey Tunnell
- grid.416153.40000 0004 0624 1200Day Medical Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - John Carey
- grid.416153.40000 0004 0624 1200Day Medical Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Mark P. Marriott
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.414366.20000 0004 0379 3501Department of Neuroscience, Eastern Health Clinical School, Eastern Health, Box Hill, VIC 3128 Australia
| | - Katherine A. Buzzard
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.414366.20000 0004 0379 3501Department of Neuroscience, Eastern Health Clinical School, Eastern Health, Box Hill, VIC 3128 Australia
| | - Izanne Roos
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.1008.90000 0001 2179 088XClinical Outcomes Research Unit, University of Melbourne, Melbourne, VIC 3010 Australia ,grid.1008.90000 0001 2179 088XDepartment of Medicine, University of Melbourne, Melbourne, VIC 3010 Australia
| | - Chris Dwyer
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.1008.90000 0001 2179 088XFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052 Australia
| | - Josephine Baker
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Lisa Taylor
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Kymble Spriggs
- grid.1008.90000 0001 2179 088XDepartment of Medicine, University of Melbourne, Melbourne, VIC 3010 Australia ,grid.416153.40000 0004 0624 1200Department of Immunology, The Royal Melbourne Hospital, Parkville, VIC 3050 Australia
| | - Trevor J. Kilpatrick
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.1008.90000 0001 2179 088XFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052 Australia
| | - Tomas Kalincik
- grid.416153.40000 0004 0624 1200Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC 3050 Australia ,grid.1008.90000 0001 2179 088XClinical Outcomes Research Unit, University of Melbourne, Melbourne, VIC 3010 Australia ,grid.1008.90000 0001 2179 088XDepartment of Medicine, University of Melbourne, Melbourne, VIC 3010 Australia
| | - Mastura Monif
- Department of Neurology, Melbourne MS Centre, Royal Melbourne Hospital, Parkville, VIC, 3050, Australia. .,Department of Neuroscience, Monash University, Melbourne, VIC, 3004, Australia. .,MS and Neuroimmunology Department, Alfred Hospital, Melbourne, VIC, 3004, Australia.
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Word cloud for hospitalization admission diagnoses in patients with multiple sclerosis. Mult Scler Relat Disord 2020; 48:102681. [PMID: 33348211 DOI: 10.1016/j.msard.2020.102681] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 12/06/2020] [Indexed: 11/24/2022]
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