Literature DB >> 24622350

Evaluating the response to glatiramer acetate in relapsing-remitting multiple sclerosis (RRMS) patients.

Jordi Río1, Alex Rovira2, Mar Tintoré3, Jaume Sastre-Garriga3, Joaquín Castilló3, Cristina Auger4, Carlos Nos3, Manuel Comabella3, Carmen Tur3, Ángela Vidal3, Xavier Montalbán3.   

Abstract

BACKGROUND: In patients with relapsing-remitting multiple sclerosis (RRMS), a scoring system based on new magnetic resonance imaging (MRI) active lesions, relapses and sustained disability progression after a 1-year treatment with IFNβ predicted patient disability progression over time; however, this score had not been tested in patients receiving glatiramer acetate (GA).
OBJECTIVE: The objective of this study was to evaluate whether this previous scoring system can also be applied to patients treated with GA.
METHODS: This was a prospective, longitudinal study of 151 RRMS patients treated with GA. Their scores were constructed, based on the clinical and MRI activity after 1 year of therapy. Regression analysis was performed, in order to identify the response variables.
RESULTS: The total possible score range was 0-3. Patients with a score of ≥ 2 and those with clinical activity (with or without MRI activity) during their first year of treatment were at increased risk of continuing with relapses and/or sustained disability in the next 2 years (odds ratio (OR): 38.8; p < 0.0001 and OR: 7.8; p < 0.009, respectively).
CONCLUSIONS: In RRMS patients treated with GA, a combination of clinical activity measures may have prognostic value for identifying patients with disease activity in the next 2 years of therapy.
© The Author(s) 2014.

Entities:  

Keywords:  Disability; glatiramer acetate; magnetic resonance imaging; multiple sclerosis; predictive model; relapse; relapsing–remitting multiple sclerosis; risk assessment; treatment response

Mesh:

Substances:

Year:  2014        PMID: 24622350     DOI: 10.1177/1352458514527863

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  18 in total

Review 1.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients.

Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

Review 2.  Treatment decisions in multiple sclerosis - insights from real-world observational studies.

Authors:  Maria Trojano; Mar Tintore; Xavier Montalban; Jan Hillert; Tomas Kalincik; Pietro Iaffaldano; Tim Spelman; Maria Pia Sormani; Helmut Butzkueven
Journal:  Nat Rev Neurol       Date:  2017-01-13       Impact factor: 42.937

Review 3.  Unraveling treatment response in multiple sclerosis: A clinical and MRI challenge.

Authors:  Claudio Gasperini; Luca Prosperini; Mar Tintoré; Maria Pia Sormani; Massimo Filippi; Jordi Rio; Jacqueline Palace; Maria A Rocca; Olga Ciccarelli; Frederik Barkhof; Jaume Sastre-Garriga; Hugo Vrenken; Jette L Frederiksen; Tarek A Yousry; Christian Enzinger; Alex Rovira; Ludwig Kappos; Carlo Pozzilli; Xavier Montalban; Nicola De Stefano
Journal:  Neurology       Date:  2018-12-26       Impact factor: 9.910

4.  Adding brain volume measures into response criteria in multiple sclerosis: the Río-4 score.

Authors:  Francisco Carlos Pérez-Miralles; Jordi Río; Deborah Pareto; Àngela Vidal-Jordana; Cristina Auger; Georgina Arrambide; Joaquín Castilló; Mar Tintoré; Àlex Rovira; Xavier Montalban; Jaume Sastre-Garriga
Journal:  Neuroradiology       Date:  2020-11-25       Impact factor: 2.804

5.  Humanized Anti-RGMa Antibody Treatment Promotes Repair of Blood-Spinal Cord Barrier Under Autoimmune Encephalomyelitis in Mice.

Authors:  Takeshi Hirata; Takahide Itokazu; Atsushi Sasaki; Fuminori Sugihara; Toshihide Yamashita
Journal:  Front Immunol       Date:  2022-06-15       Impact factor: 8.786

Review 6.  Treatment strategies for multiple sclerosis: When to start, when to change, when to stop?

Authors:  Alberto Gajofatto; Maria Donata Benedetti
Journal:  World J Clin Cases       Date:  2015-07-16       Impact factor: 1.337

7.  Modified Rio Score with Platform Therapy Predicts Treatment Success with Fingolimod and Natalizumab in Relapsing-Remitting Multiple Sclerosis Patients.

Authors:  Anna Jamroz-Wiśniewska; Radosław Zajdel; Agnieszka Słowik; Monika Marona; Marcin Wnuk; Monika Adamczyk-Sowa; Bożena Adamczyk; Anetta Lasek-Bal; Przemysław Puz; Arkadiusz Stęposz; Ewa Krzystanek; Maja Patalong-Ogiewa; Anna Pokryszko-Dragan; Sławomir Budrewicz; Dorota Koziarska; Anna Karbicka; Sławomir Wawrzyniak; Waldemar Fryze; Marzena Furtak-Niczyporuk; Konrad Rejdak
Journal:  J Clin Med       Date:  2021-04-22       Impact factor: 4.241

8.  Long-Term Effectiveness, Safety and Tolerability of Fingolimod in Patients with Multiple Sclerosis in Real-World Treatment Settings in France: The VIRGILE Study.

Authors:  Caroline Papeix; Giovanni Castelnovo; Emmanuelle Leray; Marc Coustans; Pierre Levy; Jean-Marc Visy; Gisela Kobelt; Fabienne Lamy; Bashar Allaf; François Heintzmann; Isabelle Chouette; Eric Raponi; Barbara Durand; Emmanuelle Grevat; Driss Kamar; Marc Debouverie; Christine Lebrun-Frenay
Journal:  Neurol Ther       Date:  2022-02-11

9.  The interactive web-based program MSmonitor for self-management and multidisciplinary care in multiple sclerosis: concept, content, and pilot results.

Authors:  Peter Joseph Jongen; Ludovicus G Sinnige; Björn M van Geel; Freek Verheul; Wim I Verhagen; Ruud A van der Kruijk; Reinoud Haverkamp; Hans M Schrijver; J Coby Baart; Leo H Visser; Edo P Arnoldus; H Jacobus Gilhuis; Paul Pop; Monique Booy; Wim Lemmens; Rogier Donders; Anton Kool; Esther van Noort
Journal:  Patient Prefer Adherence       Date:  2015-12-11       Impact factor: 2.711

10.  The transition from first-line to second-line therapy in multiple sclerosis.

Authors:  Jan Dörr; Friedemann Paul
Journal:  Curr Treat Options Neurol       Date:  2015-06       Impact factor: 3.972

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