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The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial

BACKGROUND: In the OPTIMUM trial in patients with relapsing MS, treatment differences in annualized relapse rate (ARR, 0.088) and change in fatigue at week 108 (3.57 points, measured using the Fatigue Symptoms and Impacts Questionnaire–Relapsing Multiple Sclerosis, symptom domain (FSIQ-RMS-S)) favor...

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Autores principales: Fox, Robert J, Tervonen, Tommi, Phillips-Beyer, Andrea, Sidorenko, Tatiana, Boyanova, Neli, Brooks, Anne, Hennessy, Brian, Jamieson, Carol, Levitan, Bennett
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972232/
https://www.ncbi.nlm.nih.gov/pubmed/36550636
http://dx.doi.org/10.1177/13524585221140270
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author Fox, Robert J
Tervonen, Tommi
Phillips-Beyer, Andrea
Sidorenko, Tatiana
Boyanova, Neli
Brooks, Anne
Hennessy, Brian
Jamieson, Carol
Levitan, Bennett
author_facet Fox, Robert J
Tervonen, Tommi
Phillips-Beyer, Andrea
Sidorenko, Tatiana
Boyanova, Neli
Brooks, Anne
Hennessy, Brian
Jamieson, Carol
Levitan, Bennett
author_sort Fox, Robert J
collection PubMed
description BACKGROUND: In the OPTIMUM trial in patients with relapsing MS, treatment differences in annualized relapse rate (ARR, 0.088) and change in fatigue at week 108 (3.57 points, measured using the Fatigue Symptoms and Impacts Questionnaire–Relapsing Multiple Sclerosis, symptom domain (FSIQ-RMS-S)) favored ponesimod over teriflunomide. However, the importance of the fatigue outcome to patients was unclear. OBJECTIVE: To assess the importance of the OPTIMUM FSIQ-RMS-S results using data from an MS discrete choice experiment (DCE). METHODS: The DCE included components to correlate levels of physical and cognitive fatigue with FSIQ-RMS-S scores. Changes in relapses/year and time to MS progression equivalent to the treatment difference in fatigue in OPTIMUM were determined for similar fatigue levels as mean baseline fatigue in OPTIMUM. RESULTS: DCE participants would accept 0.06 more relapses/year or a 0.15–0.17 year decrease in time to MS progression for a 3.57-point difference in physical fatigue on the FSIQ-RMS-S. To improve cognitive fatigue by 3.57-points on the FSIQ-RMS-S, DCE participants would accept 0.09–0.10 more relapses/year or a 0.24–0.28 year decrease in time to MS progression. CONCLUSION: MS patients would accept 0.06 more relapses/year to change their fatigue by a similar magnitude as the between-treatment difference observed in the OPTIMUM trial.
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spelling pubmed-99722322023-03-01 The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial Fox, Robert J Tervonen, Tommi Phillips-Beyer, Andrea Sidorenko, Tatiana Boyanova, Neli Brooks, Anne Hennessy, Brian Jamieson, Carol Levitan, Bennett Mult Scler Original Research Papers BACKGROUND: In the OPTIMUM trial in patients with relapsing MS, treatment differences in annualized relapse rate (ARR, 0.088) and change in fatigue at week 108 (3.57 points, measured using the Fatigue Symptoms and Impacts Questionnaire–Relapsing Multiple Sclerosis, symptom domain (FSIQ-RMS-S)) favored ponesimod over teriflunomide. However, the importance of the fatigue outcome to patients was unclear. OBJECTIVE: To assess the importance of the OPTIMUM FSIQ-RMS-S results using data from an MS discrete choice experiment (DCE). METHODS: The DCE included components to correlate levels of physical and cognitive fatigue with FSIQ-RMS-S scores. Changes in relapses/year and time to MS progression equivalent to the treatment difference in fatigue in OPTIMUM were determined for similar fatigue levels as mean baseline fatigue in OPTIMUM. RESULTS: DCE participants would accept 0.06 more relapses/year or a 0.15–0.17 year decrease in time to MS progression for a 3.57-point difference in physical fatigue on the FSIQ-RMS-S. To improve cognitive fatigue by 3.57-points on the FSIQ-RMS-S, DCE participants would accept 0.09–0.10 more relapses/year or a 0.24–0.28 year decrease in time to MS progression. CONCLUSION: MS patients would accept 0.06 more relapses/year to change their fatigue by a similar magnitude as the between-treatment difference observed in the OPTIMUM trial. SAGE Publications 2022-12-22 2023-03 /pmc/articles/PMC9972232/ /pubmed/36550636 http://dx.doi.org/10.1177/13524585221140270 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Papers
Fox, Robert J
Tervonen, Tommi
Phillips-Beyer, Andrea
Sidorenko, Tatiana
Boyanova, Neli
Brooks, Anne
Hennessy, Brian
Jamieson, Carol
Levitan, Bennett
The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial
title The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial
title_full The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial
title_fullStr The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial
title_full_unstemmed The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial
title_short The relevance of fatigue to relapse rate in multiple sclerosis: Applying patient preference data to the OPTIMUM trial
title_sort relevance of fatigue to relapse rate in multiple sclerosis: applying patient preference data to the optimum trial
topic Original Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972232/
https://www.ncbi.nlm.nih.gov/pubmed/36550636
http://dx.doi.org/10.1177/13524585221140270
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