Literature DB >> 31720848

Exit strategies for "needle fatigue" in multiple sclerosis: a propensity score-matched comparison study.

Luca Prosperini1, Antonio Cortese2,3, Matteo Lucchini4,5, Laura Boffa6, Giovanna Borriello7, Maria Chiara Buscarinu8, Fioravante Capone9,10, Diego Centonze11,12, Chiara De Fino4, Daniela De Pascalis13, Roberta Fantozzi11, Elisabetta Ferraro2, Maria Filippi14, Simonetta Galgani15, Claudio Gasperini15, Shalom Haggiag15, Doriana Landi6, Girolama Marfia6,11, Giorgia Mataluni6, Enrico Millefiorini3, Massimiliano Mirabella4,5, Fabrizia Monteleone6, Viviana Nociti4,5, Simona Pontecorvo3,16, Silvia Romano8, Serena Ruggieri15,3, Marco Salvetti8,11, Carla Tortorella15, Silvana Zannino17, Giancarlo Di Battista2.   

Abstract

Patients with multiple sclerosis on long-term injectable therapies may suffer from the so-called "needle fatigue", i.e., a waning commitment to continue with the prescribed injectable treatment. Therefore, alternative treatment strategies to enhance patients' adherence are warranted. In this independent, multicentre post-marketing study, we sought to directly compare switching to either teriflunomide (TFN), dimethyl fumarate (DMF), or pegylated interferon (PEG) on treatment persistence and time to first relapse over a 12-month follow-up. We analyzed a total of 621 patients who were free of relapses and gadolinium-enhancing lesions in the year prior to switching to DMF (n = 265), TFN (n = 160), or PEG (n = 196). Time to discontinuation and time to first relapse were explored in the whole population by Cox regression models adjusted for baseline variables and after a 1:1:1 ratio propensity score (PS)-based matching procedure. Treatment discontinuation was more frequent after switching to PEG (28.6%) than DMF (14.7%; hazard ratio [HR] = 0.25, p < 0.001) and TFN (16.9%; HR = 0.27, p < 0.001). We found similar results even in the re-sampled cohort of 222 patients (74 per group) derived by the PS-based matching procedure. The highest discontinuation rate observed in PEG recipient was mainly due to poor tolerability (p = 0.005) and pregnancy planning (p = 0.04). The low number of patients who relapsed over the 12-month follow-up (25 out of 621, approximately 4%) prevented any analysis on the short-term risk of relapse. This real-world study suggests that oral drugs are a better switching option than low-frequency interferon for promoting the short-term treatment persistence in stable patients who do not tolerate injectable drugs.

Entities:  

Keywords:  Multiple sclerosis; Needle fatigue; Oral drugs; Treatment persistence

Mesh:

Substances:

Year:  2019        PMID: 31720848     DOI: 10.1007/s00415-019-09625-1

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  37 in total

Review 1.  Reporting treatment outcomes in observational data: A fine balance.

Authors:  Tomas Kalincik; Maria Pia Sormani
Journal:  Mult Scler       Date:  2016-07-11       Impact factor: 6.312

Review 2.  Adherence to interferon-beta treatment and results of therapy switching.

Authors:  Marinella Clerico; Pierangelo Barbero; Giulia Contessa; Cinzia Ferrero; Luca Durelli
Journal:  J Neurol Sci       Date:  2007-03-21       Impact factor: 3.181

3.  observational studies: propensity score analysis of non-randomized data.

Authors:  M Trojano; F Pellegrini; D Paolicelli; A Fuiani; V Di Renzo
Journal:  Int MS J       Date:  2009-09

4.  Persistence and adherence to the new oral disease-modifying therapies for multiple sclerosis: A population-based study.

Authors:  Solmaz Setayeshgar; Elaine Kingwell; Feng Zhu; Tingting Zhang; Robert Carruthers; Ruth Ann Marrie; Charity Evans; Helen Tremlett
Journal:  Mult Scler Relat Disord       Date:  2018-11-09       Impact factor: 4.339

5.  The Global Adherence Project (GAP): a multicenter observational study on adherence to disease-modifying therapies in patients with relapsing-remitting multiple sclerosis.

Authors:  V Devonshire; Y Lapierre; R Macdonell; C Ramo-Tello; F Patti; P Fontoura; L Suchet; R Hyde; I Balla; E M Frohman; B C Kieseier
Journal:  Eur J Neurol       Date:  2011-01       Impact factor: 6.089

6.  Patient considerations in the management of multiple sclerosis: development and clinical utility of oral agents.

Authors:  Nathalie Girouard; Nanda Soucy
Journal:  Patient Prefer Adherence       Date:  2011-02-27       Impact factor: 2.711

7.  Adherence to interferon β-1b treatment in patients with multiple sclerosis in Spain.

Authors:  Oscar Fernández; Eduardo Agüera; Javier Agüera; Guillermo Izquierdo; Jorge Millán-Pascual; Javier Millán-Pascual; Lluis Ramió I Torrentà; Pedro Oliva; Joaquin Argente; Javier Argente; Yasmina Berdei; Jose Maria Soler; Olga Carmona; Jose Maria Errea; Jordi Farrés
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

8.  Patient-Reported Disease-Modifying Therapy Adherence in the Clinic: A Reliable Metric?

Authors:  Devon S Conway; Maria Cecilia Vieira; Nicolas R Thompson; Kaila N Parker; Xiangyi Meng; Robert J Fox
Journal:  Mult Scler J Exp Transl Clin       Date:  2018-05-23

Review 9.  Three handy tips and a practical guide to improve your propensity score models.

Authors:  Sytske Anne Bergstra; Alexandre Sepriano; Sofia Ramiro; Robert Landewé
Journal:  RMD Open       Date:  2019-05-01

10.  A retrospective claims analysis: Compliance and discontinuation rates among Canadian patients with multiple sclerosis treated with disease-modifying therapies.

Authors:  Pierre Duquette; Michael Yeung; Soukaïna Mouallif; Hamid Reza Nakhaipour; Paola Haddad; Robyn Schecter
Journal:  PLoS One       Date:  2019-01-14       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.