1
|
Ciampi E, Guerra-Posada C, Treviño-Frenk I, Cortes-Enriquez F, Correa-Díaz EP, Steinberg J, Fragoso Y, Bonitto JG, Macias MA, Novarro N, Carra A, Vizcarra D, Vrech C, Carcamo C. Practical issues concerning the use of Magnetic Resonance Imaging in Multiple Sclerosis in Latin America: Discussion from 16 centres on behalf of the Foro Latam EM Study Group. Mult Scler Relat Disord 2022; 59:103649. [DOI: 10.1016/j.msard.2022.103649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/29/2022] [Indexed: 10/19/2022]
|
2
|
Caparó-Zamalloa C, Velásquez-Rimachi V, Mori N, Dueñas-Pacheco WI, Huerta-Rosario A, Farroñay-García C, Molina RA, Alva-Díaz C. Clinical Pathway for the Diagnosis and Management of Patients With Relapsing-Remitting Multiple Sclerosis: A First Proposal for the Peruvian Population. Front Neurol 2021; 12:667398. [PMID: 34744956 PMCID: PMC8567844 DOI: 10.3389/fneur.2021.667398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 09/09/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Relapsing–remitting multiple sclerosis (RRMS) is a subtype of degenerative inflammatory demyelinating disease of multifactorial origin that affects the central nervous system and leads to multifocal neurological impairment. Objectives: To develop a clinical pathway (CP) for the management of Peruvian patients with RRMS. Methods: First, we performed a literature review using Medline, Embase, Cochrane, ProQuest, and Science direct. Then, we structured the information as an ordered and logical series of five topics in a defined timeline: (1) How should MS be diagnosed? (2) How should a relapse be treated? (3) How should a DMT be initiated? (4) How should each DMT be used? and (5) How should the patients be followed? Results: The personnel involved in the care of patients with RRMS can use a series of flowcharts and diagrams that summarize the topics in paper or electronic format. Conclusions: We propose the first CP for RRMS in Peru that shows the essential steps for diagnosing, treating, and monitoring RRMS patients based on an evidence-based medicine method and local expert opinions. This CP will allow directing relevant clinical actions to strengthen the multidisciplinary management of RRMS in Peru.
Collapse
Affiliation(s)
- César Caparó-Zamalloa
- Basic Research Center in Dementias and Central Nervous System Demyelinating Diseases, Instituto Nacional de Ciencias Neurológicas, Lima, Peru.,Neurosonología, Clínica Delgado, Lima, Peru.,Facultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Victor Velásquez-Rimachi
- Facultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru.,Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru.,Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Peru
| | - Nicanor Mori
- Facultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru.,Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI), Hospital Daniel Alcides Carrión, Callao, Peru
| | | | - Andrely Huerta-Rosario
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru.,Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Peru.,Facultad de Medicina Hipólito Unanue, Universidad Nacional Federico Villarreal, Lima, Peru
| | - Chandel Farroñay-García
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru.,Instituto Nacional de Salud (INS), Lima, Peru
| | - Roberto A Molina
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru.,Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Peru.,Servicio de Neurología, Hospital Nacional María Auxiliadora, Lima, Peru
| | - Carlos Alva-Díaz
- Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Peru
| |
Collapse
|
3
|
Cristiano E, Abad P, Becker J, Carrá A, Correale J, Flores J, Fruns M, Garcea O, Garcia Bónitto J, Gracia F, Hamuy F, Navas C, Patrucco L, Rivera V, Velazquez M, Rojas JI. Multiple sclerosis care units in Latin America: Consensus recommendations about its objectives and functioning implementation. J Neurol Sci 2021; 429:118072. [PMID: 34509134 DOI: 10.1016/j.jns.2021.118072] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/23/2021] [Accepted: 09/05/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Currently, there are several reasons to promote worldwide the concept of multiple sclerosis care units (MSCU) for a better management of affected patients. Ideally, the MSCU should have some human and technical resources that distinguish and improve the care of affected patients; however, local, and regional aspects should be considered when recommending how these units should operate. The objective of these consensus recommendations was to review how MSCU should work in Latin America to improve long-term outcomes in MS patients. METHODS A panel of neurology experts from Latin America dedicated to the diagnosis and care of MS patients gathered virtually during 2019 and 2020 to carry out a consensus recommendation about objectives and functioning implementation of MSCU in Latin America. To achieve consensus, the methodology of "formal consensus-RAND/UCLA method" was used. RESULTS Recommendations focused on the objectives, human and technical resources, and the general functioning that MSCU should have in Latin America. CONCLUSIONS The recommendations of these consensus guidelines attempt to optimize the health care and management of MS patients by setting how MSCU should work in our region.
Collapse
Affiliation(s)
- Edgardo Cristiano
- Centro de Esclerosis Múltiple de Buenos Aires, Buenos Aires, Argentina
| | - Patricio Abad
- Servicio Neurologia, Hospital Metropolitano de Quito, Ecuador, Profesor de Neurología PUCE, Ecuador
| | - Jefferson Becker
- Brain Institute of Rio Grande do Sul, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Adriana Carrá
- MS Section Hospital Britanico Buenos Aires, Argentina; Neurociencias Fundación Favaloro/INECO, Buenos Aires, Argentina
| | | | - José Flores
- Instituto Nacional de Neurología y Neurocirugía, Ciudad de México, Mexico; Centro Neurológico ABC Santa Fé, Ciudad de México, Mexico
| | | | - Orlando Garcea
- Clínica de Esclerosis Múltiple, Hospital Ramos Mejía, Buenos Aires, Argentina
| | | | - Fernando Gracia
- Clinica de Esclerosis Multiple, Servicio de Neurologia Hospital Santo Tomas, Panama. Universidad Interamericana de Panama, Panama
| | - Fernando Hamuy
- Departamento de Neurologia, Hospital IMT, Paraguay; Departamento de Neurologia de Diagnóstico Codas Thompson, Paraguay
| | - Cárlos Navas
- Clinica Enfermedad Desmielinizante Clinica Universitaria Colombia, Colombia
| | - Liliana Patrucco
- Servicio de Neurología, Hospital Italiano de Buenos Aires, Argentina
| | | | | | - Juan Ignacio Rojas
- Centro de Esclerosis Múltiple de Buenos Aires, Buenos Aires, Argentina; Servicio de Neurología, Hospital Universitario de CEMIC, Buenos Aires, Argentina.
| |
Collapse
|
4
|
Guler S. Factors determining the treatment ineffectiveness in multiple sclerosis. Neurol Res 2021; 44:177-185. [PMID: 34396921 DOI: 10.1080/01616412.2021.1967680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND In patients with multiple sclerosis (MS), the suboptimal response should be well evaluated at every step of treatment. REVIEW SUMMARY Determining patients with moderate or high activity and suboptimal response to treatment (clinical variables, MRI activity, perception of the patient and physician, side effects, serious risks, etc.) and timely intervention in the treatment are very important in achieving the desired effectiveness in the long term. Within the early stages, there is a limited time interval for effective treatment of MS patients. During this time, intervention is critical to achieve long-term positive results. After diagnosis, an early and individualized specific treatment for MS, depending on the severity of the disease, can prevent radiological and physical disability in the medium/long term. CONCLUSIONS With the emergence of a number of new treatments each with their own benefits and risks, a change in the nature of interactions between patients and MS physicians has been anticipated and will be required in the patient-related clinical decision-making process in the developing MS landscape.
Collapse
Affiliation(s)
- Sibel Guler
- Department of Neurology, Trakya University Faculty of Medicine, Edirne, Turkey
| |
Collapse
|
5
|
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: 4.3] [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.
Collapse
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
| |
Collapse
|
6
|
Cristiano E, Rojas JI, Alonso R, Alvez Pinheiro A, Bacile EA, Balbuena ME, Barboza AG, Bestoso S, Burgos M, Cáceres F, Carnero Contentti E, Curbelo MC, Deri N, Fernandez Liguori N, Gaitán MI, Garcea O, Giunta D, Halfon MJ, Hryb JP, Jacobo M, Kohler E, Luetic GG, Maglio I, Martínez AD, Míguez J, Nofal PG, Patrucco L, Piedrabuena R, Rotta Escalante R, Saladino ML, Silva BA, Sinay V, Tkachuk V, Villa A, Vrech C, Ysrraelit MC, Correale J. Consensus recommendations on the management of multiple sclerosis patients in Argentina. J Neurol Sci 2020; 409:116609. [DOI: 10.1016/j.jns.2019.116609] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 11/29/2019] [Accepted: 12/02/2019] [Indexed: 10/25/2022]
|
7
|
Muñoz-Galindo IM, Moreno Calderón JA, Guarín Téllez NE, Arévalo Roa HO, Díaz Rojas JA. Health Care Cost for Multiple Sclerosis: The Case of a Health Insurer in Colombia. Value Health Reg Issues 2018; 17:14-20. [PMID: 29605798 DOI: 10.1016/j.vhri.2017.12.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 10/30/2017] [Accepted: 12/01/2017] [Indexed: 11/26/2022]
Abstract
BACKGROUND There have been many studies on the cost of multiple sclerosis in countries with high prevalence, whereas in Latin America such analyses are few. Taking into consideration the burden of this disease and the high financial impact of treatment on the health care system, it is necessary to know the behavior of cost of illness. OBJECTIVES To describe the direct costs associated with health care in patients with multiple sclerosis affiliated with a health insurer in Colombia. METHODS An analysis of direct costs of disease was performed from the perspective of the third-party payer. A direct measurement from the technical costing "top-down" approach was used. Data were adjusted for inflation and expressed in 2014 US dollars. RESULTS The average annual cost per patient for the country was $29,339 (2010), $20,956 (2011), $23,892 (2012), $24,148 (2013), and $22,688 (2014). Drug therapy represented 86.1% of the total cost. Between 2010 and 2013, interferons accounted for the largest proportion of the costs of drug treatment (98.5% to 53%), whereas fingolimod showed an increase and accounted for 47% in 2014. CONCLUSIONS Medications account for the largest proportion of disease costs, with few variations in the last 5 years; nevertheless, the increase in the use of new pharmaceuticals poses a challenge to maintain the financial balance of health insurance.
Collapse
|
8
|
Cristiano E, Alonso R, Alvez Pinheiro A, Bacile EA, Balbuena ME, Ballario C, Barboza AG, Bestoso S, Burgos M, Cáceres F, Carnero Contentti E, Carrá A, Crespo E, Curbelo MC, Deri N, Fernandez J, Fernández Liguori N, Fiol M, Gaitán MI, Garcea O, Giunta D, Halfon MJ, Hryb JP, Jacobo M, Kohler E, Linares R, Luetic GG, Martínez AD, Míguez J, Nofal PG, Patrucco L, Piedrabuena R, Rojas JI, Rotta Escalante R, Saladino ML, Silva BA, Sinay V, Steinberg JD, Tarulla A, Vétere SA, Villa A, Vrech C, Ysrraelit MC, Correale J. Argentinean recommendations on the identification of treatment failure in relapsing remitting multiple sclerosis patients. J Neurol Sci 2018; 385:217-224. [DOI: 10.1016/j.jns.2018.01.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 12/01/2017] [Accepted: 01/03/2018] [Indexed: 12/11/2022]
|
9
|
Montalban X, Gold R, Thompson AJ, Otero-Romero S, Amato MP, Chandraratna D, Clanet M, Comi G, Derfuss T, Fazekas F, Hartung HP, Havrdova E, Hemmer B, Kappos L, Liblau R, Lubetzki C, Marcus E, Miller DH, Olsson T, Pilling S, Selmaj K, Siva A, Sorensen PS, Sormani MP, Thalheim C, Wiendl H, Zipp F. ECTRIMS/EAN Guideline on the pharmacological treatment of people with multiple sclerosis. Mult Scler 2018; 24:96-120. [PMID: 29353550 DOI: 10.1177/1352458517751049] [Citation(s) in RCA: 404] [Impact Index Per Article: 67.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is a complex disease with new drugs becoming available in the past years. There is a need for a reference tool compiling current data to aid professionals in treatment decisions. OBJECTIVES To develop an evidence-based clinical practice guideline for the pharmacological treatment of people with MS. METHODS This guideline has been developed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology and following the updated EAN recommendations. Clinical questions were formulated in Patients-Intervention-Comparator-Outcome (PICO) format and outcomes were prioritized. The quality of evidence was rated into four categories according to the risk of bias. The recommendations with assigned strength (strong and weak) were formulated based on the quality of evidence and the risk-benefit balance. Consensus between the panelists was reached by use of the modified nominal group technique. RESULTS A total of 10 questions were agreed, encompassing treatment efficacy, response criteria, strategies to address suboptimal response and safety concerns and treatment strategies in MS and pregnancy. The guideline takes into account all disease-modifying drugs approved by the European Medicine Agency (EMA) at the time of publication. A total of 21 recommendations were agreed by the guideline working group after three rounds of consensus. CONCLUSION The present guideline will enable homogeneity of treatment decisions across Europe.
Collapse
Affiliation(s)
- Xavier Montalban
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Ralf Gold
- Department of Neurology, Ruhr University, St. Josef-Hospital, Bochum, Germany
| | - Alan J Thompson
- Department of Brain Repair & Rehabilitation and Faculty of Brain Sciences, University College London Institute of Neurology, London, UK
| | - Susana Otero-Romero
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain/Preventive Medicine and Epidemiology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Maria Pia Amato
- Department of Neurosciences, Psychology, Drugs and Child Health Area (NEUROFARBA), Section Neurosciences, University of Florence, Florence, Italy
| | | | - Michel Clanet
- Department of Neurology, Toulouse University Hospital, Toulouse, France
| | - Giancarlo Comi
- Neurological Department, Institute of Experimental Neurology (INSPE), Scientific Institute Hospital San Raffaele, Universita' Vita-Salute San Raffaele, Milan, Italy
| | - Tobias Derfuss
- Departments of Neurology and Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Hans Peter Hartung
- Multiple Sclerosis Center, Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Bernhard Hemmer
- Department of Neurology, Klinikum Rechts der Isar, Technische Universität München and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Roland Liblau
- INSERM UMR U1043 - CNRS U5282, Université de Toulouse, UPS, Centre de Physiopathologie de Toulouse Purpan, Toulouse, France
| | - Catherine Lubetzki
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1127, ICM-GHU Pitié-Salpêtrière, Paris, France
| | - Elena Marcus
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - David H Miller
- NMR Research Unit and Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, UK
| | - Tomas Olsson
- Neuroimmunology Unit, Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Steve Pilling
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Krysztof Selmaj
- Department of Neurology, Medical University of Lodz, Lodz, Poland
| | - Axel Siva
- Clinical Neuroimmunology Unit and MS Clinic, Department of Neurology, Cerrahpasa School of Medicine, Istanbul University, Istanbul, Turkey
| | - Per Soelberg Sorensen
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Denmark
| | | | | | - Heinz Wiendl
- Department of Neurology, University of Münster, Münster, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunology (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| |
Collapse
|
10
|
Montalban X, Gold R, Thompson AJ, Otero‐Romero S, Amato MP, Chandraratna D, Clanet M, Comi G, Derfuss T, Fazekas F, Hartung HP, Havrdova E, Hemmer B, Kappos L, Liblau R, Lubetzki C, Marcus E, Miller DH, Olsson T, Pilling S, Selmaj K, Siva A, Sorensen PS, Sormani MP, Thalheim C, Wiendl H, Zipp F. ECTRIMS
/
EAN
guideline on the pharmacological treatment of people with multiple sclerosis. Eur J Neurol 2018; 25:215-237. [DOI: 10.1111/ene.13536] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 11/27/2017] [Indexed: 01/21/2023]
Affiliation(s)
- X. Montalban
- Multiple Sclerosis Centre of Catalonia (Cemcat) Department of Neurology‐Neuroimmunology Vall d'Hebron University Hospital Barcelona Spain
| | - R. Gold
- Department of Neurology Ruhr University, St Josef‐Hospital Bochum Germany
| | - A. J. Thompson
- Department of Brain Repair and Rehabilitation Faculty of Brain Sciences University College London Institute of Neurology London UK
| | - S. Otero‐Romero
- Multiple Sclerosis Centre of Catalonia (Cemcat) Department of Neurology‐Neuroimmunology Vall d'Hebron University Hospital Barcelona Spain
- Preventive Medicine and Epidemiology Department Vall d'Hebron University Hospital Barcelona Spain
| | - M. P. Amato
- Department NEUROFARBA Section Neurosciences University of Florence Florence Italy
| | | | - M. Clanet
- Department of Neurology Toulouse University Hospital Toulouse France
| | - G. Comi
- Neurological Department Institute of Experimental Neurology (INSPE) Scientific Institute Hospital San Raffaele University Vita‐Salute San Raffaele Milan Italy
| | - T. Derfuss
- Departments of Neurology and Biomedicine University Hospital Basel Basel Switzerland
| | - F. Fazekas
- Department of Neurology Medical University of Graz Graz Austria
| | - H. P. Hartung
- Department of Neurology Medical Faculty, Multiple Sclerosis Heinrich‐Heine‐University Düsseldorf Germany
| | - E. Havrdova
- Department of Neurology and Centre of Clinical Neuroscience First Faculty of Medicine and General University Hospital Charles University Prague Czech Republic
| | - B. Hemmer
- Department of Neurology Klinikum Rechts der Isar Technische Universität München MunichGermany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
| | - L. Kappos
- University Hospital Basel Basel Switzerland
| | - R. Liblau
- INSERM UMR U1043 – CNRS U5282 Centre de Physiopathologie de Toulouse Purpan Université de Toulouse, UPS ToulouseFrance
| | - C. Lubetzki
- ICM‐GHU Pitié‐Salpêtrière Sorbonne Universités UPMC Univ Paris 06, UMR_S 1127 Paris France
| | - E. Marcus
- Centre for Outcomes Research and Effectiveness (CORE) Research Department of Clinical, Educational and Health Psychology University College London LondonUK
| | - D. H. Miller
- NMR Research Unit Queen Square Multiple Sclerosis Centre University College London (UCL) Institute of Neurology London UK
| | - T. Olsson
- Neuroimmunology Unit Centre for Molecular Medicine, L8:04 Karolinska University Hospital (Solna) Stockholm Sweden
| | - S. Pilling
- Centre for Outcomes Research and Effectiveness (CORE) Research Department of Clinical, Educational and Health Psychology University College London LondonUK
| | - K. Selmaj
- Department of Neurology Medical University of Lodz Lodz Poland
| | - A. Siva
- Clinical Neuroimmunology Unit and MS Clinic Department of Neurology Cerrahpasa School of Medicine Istanbul University Istanbul Turkey
| | - P. S. Sorensen
- Danish Multiple Sclerosis Centre Department of Neurology Copenhagen University Hospital Rigshospitalet Copenhagen Denmark
| | | | - C. Thalheim
- European Multiple Sclerosis Platform (EMSP) Schaerbeek/Brussels Belgium
| | - H. Wiendl
- Department of Neurology University of Münster MünsterGermany
| | - F. Zipp
- Department of Neurology Focus Program Translational Neuroscience (FTN) and Immunology (FZI) Rhine‐Main Neuroscience Network (rmn2) University Medical Centre of the Johannes Gutenberg University Mainz Mainz Germany
| |
Collapse
|
11
|
Skromne-Eisenberg E. Disease-modifying therapies in multiple sclerosis in Latin America. Mult Scler J Exp Transl Clin 2017; 3:2055217317723369. [PMID: 28979794 PMCID: PMC5617092 DOI: 10.1177/2055217317723369] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 06/29/2017] [Indexed: 11/24/2022] Open
Abstract
The treatment of multiple sclerosis (MS) has become increasingly complex during the last 10 years, mainly because of the advent of new and more potent disease-modifying therapies (DMTs). In Latin America, the therapeutic repertoire available for MS treatment is similar to the one in the rest of the world, but the high costs of these drugs, in conjunction with the limited resources of the social security health systems, makes the treatment of MS more difficult. For neurologists in Latin America, providing personalized MS treatment has become a challenge. We present a review of the status of the DMT in Central and South America, benefits as well as limitations for providing full access to these medications in Latin America.
Collapse
|
12
|
Saposnik G, Sempere AP, Prefasi D, Selchen D, Ruff CC, Maurino J, Tobler PN. Decision-making in Multiple Sclerosis: The Role of Aversion to Ambiguity for Therapeutic Inertia among Neurologists (DIScUTIR MS). Front Neurol 2017; 8:65. [PMID: 28298899 PMCID: PMC5331032 DOI: 10.3389/fneur.2017.00065] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 02/13/2017] [Indexed: 11/14/2022] Open
Abstract
Objectives Limited information is available on physician-related factors influencing therapeutic inertia (TI) in multiple sclerosis (MS). Our aim was to evaluate whether physicians’ risk preferences are associated with TI in MS care, by applying concepts from behavioral economics. Design In this cross-sectional study, participants answered questions regarding the management of 20 MS case scenarios, completed 3 surveys, and 4 experimental paradigms based on behavioral economics. Surveys and experiments included standardized measures of aversion ambiguity in financial and health domains, physicians’ reactions to uncertainty in patient care, and questions related to risk preferences in different domains. The primary outcome was TI when physicians faced a need for escalating therapy based on clinical (new relapse) and magnetic resonance imaging activity while patients were on a disease-modifying agent. Results Of 161 neurologists who were invited to participate in the project, 136 cooperated with the study (cooperation rate 84.5%) and 96 completed the survey (response rate: 60%). TI was present in 68.8% of participants. Similar results were observed for definitions of TI based on modified Rio or clinical progression. Aversion to ambiguity was associated with higher prevalence of TI (86.4% with high aversion to ambiguity vs. 63.5% with lower or no aversion to ambiguity; p = 0.042). In multivariate analyses, high aversion to ambiguity was the strongest predictor of TI (OR 7.39; 95%CI 1.40–38.9), followed by low tolerance to uncertainty (OR 3.47; 95%CI 1.18–10.2). Conclusion TI is a common phenomenon affecting nearly 7 out of 10 physicians caring for MS patients. Higher prevalence of TI was associated with physician’s strong aversion to ambiguity and low tolerance of uncertainty.
Collapse
Affiliation(s)
- Gustavo Saposnik
- Division of Neurology, Stroke Outcomes and Decision Neuroscience Research Unit, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada; Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Zurich, Switzerland; Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Angel P Sempere
- Department of Neurology, Hospital General Universitario de Alicante , Alicante , Spain
| | - Daniel Prefasi
- Neuroscience Area, Medical Department, Roche Farma , Madrid , Spain
| | - Daniel Selchen
- Division of Neurology, Stroke Outcomes and Decision Neuroscience Research Unit, Department of Medicine, St. Michael's Hospital, University of Toronto , Toronto, ON , Canada
| | - Christian C Ruff
- Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich , Zurich , Switzerland
| | - Jorge Maurino
- Neuroscience Area, Medical Department, Roche Farma , Madrid , Spain
| | - Philippe N Tobler
- Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich , Zurich , Switzerland
| |
Collapse
|
13
|
Saposnik G, Maurino J, Sempere AP, Ruff CC, Tobler PN. Herding: a new phenomenon affecting medical decision-making in multiple sclerosis care? Lessons learned from DIScUTIR MS. Patient Prefer Adherence 2017; 11:175-180. [PMID: 28203061 PMCID: PMC5293495 DOI: 10.2147/ppa.s124192] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
PURPOSE Herding is a phenomenon by which individuals follow the behavior of others rather than deciding independently on the basis of their own private information. A herding-like phenomenon can occur in multiple sclerosis (MS) when a neurologist follows a therapeutic recommendation by a colleague even though it is not supported by best practice clinical guidelines. Limited information is currently available on the role of herding in medical care. The objective of this study was to determine the prevalence (and its associated factors) of herding in the management of MS. METHODS We conducted a study among neurologists with expertise in MS care throughout Spain. Participants answered questions regarding the management of 20 case scenarios commonly encountered in clinical practice and completed 3 surveys and 4 experimental paradigms based on behavioral economics. The herding experiment consisted of a case scenario of a 40-year-old woman who has been stable for 3 years on subcutaneous interferon and developed a self-limited neurological event. There were no new magnetic resonance imaging (MRI) lesions. Her neurological examination and disability scores were unchanged. She was advised by an MS neurologist to switch from interferon to fingolimod against best practice guidelines. Multivariable logistic regression analysis was conducted to evaluate factors associated with herding. RESULTS Out of 161 neurologists who were invited to participate, 96 completed the study (response rate: 60%). Herding was present in 75 (78.1%), having a similar prevalence in MS experts and general neurologists (68.8% vs 82.8%; P=0.12). In multivariate analyses, the number of MS patients seen per week was positively associated with herding (odds ratio [OR] 1.08, 95% CI 1.01-1.14). Conversely, physician's age, gender, years of practice, setting of practice, or risk preferences were not associated with herding. CONCLUSION Herding was a common phenomenon affecting nearly 8 out of 10 neurologists caring for MS patients. Herding may affect medical decisions and lead to poorer outcomes in the management of MS.
Collapse
Affiliation(s)
- Gustavo Saposnik
- Division of Neurology, Department of Medicine, St Michael’s Hospital, University of Toronto, Toronto, ON, Canada
- Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Zurich, Switzerland
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, University of Toronto, Toronto, ON, Canada
| | - Jorge Maurino
- Neuroscience Area, Medical Department, Roche Farma, Madrid
| | - Angel P Sempere
- Department of Neurology, Hospital General Universitario de Alicante, Alicante, Spain
| | - Christian C Ruff
- Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Zurich, Switzerland
| | - Philippe N Tobler
- Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Zurich, Switzerland
| |
Collapse
|
14
|
Abstract
Immunomodulatory and immunosuppressive treatments for multiple sclerosis (MS) are associated with an increased risk of infection, which makes treatment of this condition challenging in daily clinical practice. Use of the expanding range of available drugs to treat MS requires extensive knowledge of treatment-associated infections, risk-minimizing strategies and approaches to monitoring and treatment of such adverse events. An interdisciplinary approach to evaluate the infectious events associated with available MS treatments has become increasingly relevant. In addition, individual stratification of treatment-related infectious risks is necessary when choosing therapies for patients with MS, as well as during and after therapy. Determination of the individual risk of infection following serial administration of different immunotherapies is also crucial. Here, we review the modes of action of the available MS drugs, and relate this information to the current knowledge of drug-specific infectious risks and risk-minimizing strategies.
Collapse
|
15
|
Ziemssen T, De Stefano N, Sormani MP, Van Wijmeersch B, Wiendl H, Kieseier BC. Optimizing therapy early in multiple sclerosis: An evidence-based view. Mult Scler Relat Disord 2015; 4:460-469. [DOI: 10.1016/j.msard.2015.07.007] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Revised: 06/01/2015] [Accepted: 07/15/2015] [Indexed: 01/26/2023]
|
16
|
Ordoñez-Boschetti L, Rey R, Cruz A, Sinha A, Reynolds T, Frider N, Alvarenga R. Safety and Tolerability of Fingolimod in Latin American Patients with Relapsing-Remitting Multiple Sclerosis: The Open-Label FIRST LATAM Study. Adv Ther 2015; 32:626-35. [PMID: 26170105 PMCID: PMC4522027 DOI: 10.1007/s12325-015-0224-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Indexed: 02/04/2023]
Abstract
INTRODUCTION Fingolimod 0.5 mg is an orally active sphingosine 1-phosphate receptor modulator approved for use in adults with relapsing multiple sclerosis (MS). The efficacy and safety profile of fingolimod has been well characterized in a large clinical development program. Here, we report the safety and tolerability of fingolimod in relapsing-remitting MS (RRMS) patients from Latin America. METHODS A total of 162 patients with RRMS, predominantly from Latin American countries (138/162), were enrolled in this 16-week, single treatment arm, open-label, multi-center study. Unlike the phase III pivotal studies, this study permitted enrollment of patients with controlled diabetes, certain cardiac and pulmonary conditions, older age, and higher baseline Expanded Disability Status Scale. All patients were monitored clinically for a minimum of 6 hours after the first dose. Safety and tolerability assessments were based on adverse events, clinically notable laboratory abnormalities, vital signs, ophthalmic examinations, and electrocardiograms. RESULTS Overall, the safety and tolerability profile was consistent with that reported previously in phase 3 studies and the FIRST study. Adverse events (AEs) were predominantly mild (n = 49, 35.5%) or moderate (n = 27, 19.6%). Three patients (2.2%) discontinued fingolimod due to AEs. Infections were reported in 33 patients (23.9%) and were predominantly mild in nature (n = 28, 20.3%). Increases in alanine aminotransferase enzymes of ≥3, ≥5 and ≥10 upper limit of normal were reported in five (3.7%), three (2.2%) and one (0.7%) patients, respectively. Hypertension cases (n = 3; 2.2%) did not result in treatment discontinuation and were controlled with antihypertensive therapy. Following first-dose administration, the majority of patients (90.6%) were discharged at 6 h. During the first-dose monitoring, 5 cases of bradycardia were reported; none required extended monitoring or treatment for symptomatic bradycardia. CONCLUSION The first dose of fingolimod 0.5 mg was well tolerated in RRMS patients from Latin America. The overall safety profile was clinically manageable and consistent with previous fingolimod studies. FUNDING Novartis. TRIAL REGISTRATION ClinicalTrials.gov #NCT01497262.
Collapse
Affiliation(s)
| | - Roberto Rey
- Instituto Argentino de Investigación Neurológica, Buenos Aires, Argentina
| | - Ana Cruz
- Centro de Investigaciones Médicas Hospital Nacional Alberto Sabogal Sologuren, Callao-Lima, Peru
| | | | | | - Nadina Frider
- Novartis LAtinAmerica and Canada Region, Buenos Aires, Argentina
| | | |
Collapse
|
17
|
Correale J, Flores J, Bonitto JG, Rodríguez CC, Oliveira EML. Use of Fingolimod in the Management of Relapsing-Remitting Multiple Sclerosis: Experience from Latin America. Adv Ther 2015; 32:612-25. [PMID: 26170106 PMCID: PMC4522024 DOI: 10.1007/s12325-015-0226-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Indexed: 11/24/2022]
Abstract
UNLABELLED Once-daily fingolimod 0.5 mg (FTY720; Gilenya(®), Novartis Pharma AG, Basel, Switzerland) is a sphingosine 1-phosphate receptor modulator that is approved for the treatment of relapsing multiple sclerosis (MS); currently, this includes approval in 13 Latin American countries. However, despite a well-characterized efficacy and safety profile in a large clinical development program, thus far there has been limited representation of patients from across the Latin American region. Differences in MS disease characteristics have been reported for the Latin American population compared with Caucasians, which may be additional to recent improvements in MS diagnosis. Furthermore, healthcare provision and regional socioeconomic factors exist that are unique to Latin America compared with other regions. Therefore, to optimize MS treatment pathways and improve patient clinical outcomes, it is important to investigate the efficacy and safety profile of fingolimod using ethnically relevant data. Here, we review key data from Hispanic patients enrolled in the fingolimod clinical trial program, summarize recent findings from the FIRST LATAM study, and appraise fingolimod data from real-world patient populations. FUNDING Novartis Pharma AG, Basel, Switzerland.
Collapse
Affiliation(s)
- Jorge Correale
- Department of Neurology, Institute for Neurological Research Raúl Carrea, FLENI, Buenos Aires, Argentina,
| | | | | | | | | |
Collapse
|
18
|
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.
Collapse
|
19
|
Vizcarra-Escobar D, Mendiola-Yamasato A, Anculle-Arauco V, Vizcarra-Pasapera J, Guillen-Mendoza D. Treatment issues in multiple sclerosis in Latin America. Neuroepidemiology 2015; 44:66-68. [PMID: 25721412 DOI: 10.1159/000373926] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 01/05/2015] [Indexed: 11/19/2022] Open
|