Literature DB >> 27796033

Baseline predictors of persistence to first disease-modifying treatment in multiple sclerosis.

U K Zettl1, H Schreiber2, U Bauer-Steinhusen3, T Glaser3, K Hechenbichler4, M Hecker1.   

Abstract

OBJECTIVES: Patients with multiple sclerosis (MS) require lifelong therapy. However, success of disease-modifying therapies is dependent on patients' persistence and adherence to treatment schedules. In the setting of a large multicenter observational study, we aimed at assessing multiple parameters for their predictive power with respect to discontinuation of therapy.
MATERIALS AND METHODS: We analyzed 13 parameters to predict discontinuation of interferon beta-1b treatment during a 2-year follow-up period based on data from 395 patients with MS who were treatment-naïve at study onset. Besides clinical characteristics, patient-related psychosocial outcomes were assessed as well.
RESULTS: Among patients without clinically relevant fatigue, males showed a higher persistence rate than females (80.3% vs 64.7%). Clinically relevant fatigue scores decreased the persistence rate in men and especially in women (71.4% and 51.2%). Besides gender and fatigue, univariable and multivariable analyses revealed further factors associated with interferon beta-1b therapy discontinuation, namely lower quality of life, depressiveness, and higher relapse rate before therapy initiation, while higher education, living without a partner, and higher age improved persistence.
CONCLUSIONS: Patients with higher grades of fatigue and depressiveness are at higher risk to prematurely discontinue MS treatment; especially, women suffering from fatigue have an increased discontinuation rate.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  depression; fatigue; interferon beta-1b; multiple sclerosis; prediction analysis; therapy persistence

Mesh:

Substances:

Year:  2016        PMID: 27796033     DOI: 10.1111/ane.12705

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  4 in total

1.  Persistence to oral disease-modifying therapies in multiple sclerosis patients.

Authors:  Simona Lattanzi; Maura Danni; Ruja Taffi; Raffaella Cerqua; Giulia Carlini; Alessandra Pulcini; Leandro Provinciali; Mauro Silvestrini
Journal:  J Neurol       Date:  2017-08-22       Impact factor: 4.849

2.  Predictors of Adherence Among Patients With Multiple Sclerosis Using the BETACONNECT® Autoinjector: A Prospective Observational Cohort Study.

Authors:  Wolfgang Köhler; Kirsten Bayer-Gersmann; Thomas Neußer; Markus Schürks; Tjalf Ziemssen
Journal:  Front Neurol       Date:  2021-02-24       Impact factor: 4.003

3.  Cost-utility analysis of teriflunomide in naïve vs. previously treated patients with relapsing-remitting multiple sclerosis in Italy.

Authors:  Carlo Lazzaro; Roberto Bergamaschi; Mauro Zaffaroni; Rocco Totaro; Damiano Paolicelli
Journal:  Neurol Sci       Date:  2022-04-14       Impact factor: 3.830

4.  A multicentRE observational analysiS of PErsistenCe to Treatment in the new multiple sclerosis era: the RESPECT study.

Authors:  Roberta Lanzillo; Luca Prosperini; Claudio Gasperini; Marcello Moccia; Roberta Fantozzi; Carla Tortorella; Viviana Nociti; Pietro Annovazzi; Paola Cavalla; Marta Radaelli; Simona Malucchi; Valentina Torri Clerici; Laura Boffa; Fabio Buttari; Paolo Ragonese; Giorgia Teresa Maniscalco; Massimiliano Di Filippo; Maria Chiara Buscarinu; Federica Pinardi; Antonio Gallo; Giancarlo Coghe; Ilaria Pesci; Alice Laroni; Alberto Gajofatto; Massimiliano Calabrese; Valentina Tomassini; Eleonora Cocco; Claudio Solaro
Journal:  J Neurol       Date:  2018-03-16       Impact factor: 4.849

  4 in total

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