Literature DB >> 27306626

Assessing response to interferon-β in a multicenter dataset of patients with MS.

Maria Pia Sormani1, Claudio Gasperini2, Marzia Romeo2, Jordi Rio2, Massimiliano Calabrese2, Eleonora Cocco2, Christian Enzingher2, Franz Fazekas2, Massimo Filippi2, Antonio Gallo2, Ludwig Kappos2, Maria Giovanna Marrosu2, Vittorio Martinelli2, Luca Prosperini2, Maria Assunta Rocca2, Alex Rovira2, Till Sprenger2, Maria Laura Stromillo2, Gioacchino Tedeschi2, Mar Tintorè2, Carla Tortorella2, Maria Trojano2, Xavier Montalban2, Carlo Pozzilli2, Giancarlo Comi2, Nicola De Stefano2.   

Abstract

OBJECTIVE: To provide new insights into the role of markers of response to interferon-β therapy in multiple sclerosis (MS) in a multicenter setting, focusing on the relevance of MRI lesions in combination with clinical variables.
METHODS: A large multicenter clinical dataset was collected within the Magnetic Resonance Imaging in MS (MAGNIMS) network. This included a large cohort of patients with relapsing-remitting MS on interferon-β treatment, MRI and clinical assessments during the first year of treatment, and clinical follow-up of at least 2 additional years. Heterogeneity among centers was assessed before pooling the data. The association of 1-year MRI or clinical relapses with the risk of treatment failure (defined as Expanded Disability Status Scale [EDSS] worsening or treatment switch for inefficacy) and of EDSS worsening alone was evaluated using multivariate Cox models.
RESULTS: A pooled dataset of 1,280 patients with relapsing-remitting MS from 9 MAGNIMS centers was analyzed. The risk of failure had a relevant increase with 1 relapse (hazard ratio [HR] 1.84, 95% confidence interval [CI] 1.39-2.44, p < 0.001) and ≥3 new T2 lesions (HR 1.55, 95% CI 0.92-2.60, p = 0.09). In patients without relapses and less than 3 new T2 lesions, the 3-year risk of failure and EDSS worsening were 17% and 15%; in patients with 1 relapse or ≥3 new T2 lesions, the risks were 27% and 22%; in patients with both conditions or more than 1 relapse, the risks were 48% (p < 0.001) and 29% (p < 0.001).
CONCLUSIONS: Substantial MRI activity, particularly if in combination with clinical relapses, during the first year of treatment with interferon-β indicates significant risk of treatment failure and EDSS worsening in the short term.
© 2016 American Academy of Neurology.

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Year:  2016        PMID: 27306626     DOI: 10.1212/WNL.0000000000002830

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  29 in total

Review 1.  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

2.  Improved Detection of New MS Lesions during Follow-Up Using an Automated MR Coregistration-Fusion Method.

Authors:  A Galletto Pregliasco; A Collin; A Guéguen; M A Metten; J Aboab; R Deschamps; O Gout; L Duron; J C Sadik; J Savatovsky; A Lecler
Journal:  AJNR Am J Neuroradiol       Date:  2018-06-07       Impact factor: 3.825

Review 3.  Defining Disease Activity and Response to Therapy in MS.

Authors:  Ulrike W Kaunzner; Mais Al-Kawaz; Susan A Gauthier
Journal:  Curr Treat Options Neurol       Date:  2017-05       Impact factor: 3.598

Review 4.  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

5.  Effectiveness and baseline factors associated to fingolimod response in a real-world study on multiple sclerosis patients.

Authors:  F Esposito; L Ferrè; F Clarelli; M A Rocca; G Sferruzza; L Storelli; M Radaelli; F Sangalli; L Moiola; B Colombo; F Martinelli Boneschi; G Comi; M Filippi; V Martinelli
Journal:  J Neurol       Date:  2018-02-12       Impact factor: 4.849

Review 6.  Assessing treatment outcomes in multiple sclerosis trials and in the clinical setting.

Authors:  Carmen Tur; Marcello Moccia; Frederik Barkhof; Jeremy Chataway; Jaume Sastre-Garriga; Alan J Thompson; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2018-01-12       Impact factor: 42.937

7.  The use of Modified Rio score for determining treatment failure in patients with multiple sclerosis: retrospective descriptive case series study.

Authors:  Mesude Tutuncu; Ayse Altintas; Burcu V Dogan; Ugur Uygunoglu; Nilufer Kale Icen; Ayse Deniz Elmalı; Eda Coban; Bengi G Alpaslan; Aysun Soysal
Journal:  Acta Neurol Belg       Date:  2020-08-31       Impact factor: 2.396

8.  The NAIMS cooperative pilot project: Design, implementation and future directions.

Authors:  Jiwon Oh; Rohit Bakshi; Peter A Calabresi; Ciprian Crainiceanu; Roland G Henry; Govind Nair; Nico Papinutto; R Todd Constable; Daniel S Reich; Daniel Pelletier; William Rooney; Daniel Schwartz; Ian Tagge; Russell T Shinohara; Jack H Simon; Nancy L Sicotte
Journal:  Mult Scler       Date:  2017-11-06       Impact factor: 6.312

9.  Smartphone-derived keystroke dynamics are sensitive to relevant changes in multiple sclerosis.

Authors:  Ka-Hoo Lam; James Twose; Hannah McConchie; Giovanni Licitra; Kim Meijer; Lodewijk de Ruiter; Zoë van Lierop; Bastiaan Moraal; Frederik Barkhof; Bernard Uitdehaag; Vincent de Groot; Joep Killestein
Journal:  Eur J Neurol       Date:  2021-11-14       Impact factor: 6.288

10.  Retinal layer thinning predicts treatment failure in relapsing multiple sclerosis.

Authors:  Gabriel Bsteh; Harald Hegen; Patrick Altmann; Michael Auer; Klaus Berek; Franziska Di Pauli; Fritz Leutmezer; Paulus Rommer; Sebastian Wurth; Anne Zinganell; Tobias Zrzavy; Florian Deisenhammer; Thomas Berger
Journal:  Eur J Neurol       Date:  2021-04-02       Impact factor: 6.089

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