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Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis

BACKGROUND: Persistence of anti-tumor necrosis factor (TNF) therapy in rheumatoid arthritis (RA) is an overall marker of treatment success. OBJECTIVE: To assess the survival of anti-TNF treatment and to define the potential predictors of drug discontinuation in RA, in order to verify the adequacy of...

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Autores principales: Martínez-Santana, Virginia, González-Sarmiento, E, Calleja-Hernández, MA, Sánchez-Sánchez, T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3764953/
https://www.ncbi.nlm.nih.gov/pubmed/24023512
http://dx.doi.org/10.2147/PPA.S47453
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author Martínez-Santana, Virginia
González-Sarmiento, E
Calleja-Hernández, MA
Sánchez-Sánchez, T
author_facet Martínez-Santana, Virginia
González-Sarmiento, E
Calleja-Hernández, MA
Sánchez-Sánchez, T
author_sort Martínez-Santana, Virginia
collection PubMed
description BACKGROUND: Persistence of anti-tumor necrosis factor (TNF) therapy in rheumatoid arthritis (RA) is an overall marker of treatment success. OBJECTIVE: To assess the survival of anti-TNF treatment and to define the potential predictors of drug discontinuation in RA, in order to verify the adequacy of current practices. DESIGN: An observational, descriptive, longitudinal, retrospective study. SETTING: The Hospital Clínico Universitario de Valladolid, Valladolid, Spain. PATIENTS: RA patients treated with anti-TNF therapy between January 2011 and January 2012. MEASUREMENTS: Demographic information and therapy assessments were gathered from medical and pharmaceutical records. Data is expressed as means (standard deviations) for quantitative variables and frequency distribution for qualitative variables. Kaplan–Meier survival analysis was used to assess persistence, and Cox multivariate regression models were used to assess potential predictors of treatment discontinuation. RESULTS: In total, 126 treatment series with infliximab (n = 53), etanercept (n = 51) or adalimumab (n = 22) were administered to 91 patients. Infliximab has mostly been used as a first-line treatment, but it was the drug with the shortest time until a change of treatment. Significant predictors of drug survival were: age; the anti-TNF agent; and the previous response to an anti-TNF drug. LIMITATION: The small sample size. CONCLUSION: The overall efficacy of anti-TNF drugs diminishes with time, with infliximab having the shortest time until a change of treatment. The management of biologic therapy in patients with RA should be reconsidered in order to achieve disease control with a reduction in costs.
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spelling pubmed-37649532013-09-10 Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis Martínez-Santana, Virginia González-Sarmiento, E Calleja-Hernández, MA Sánchez-Sánchez, T Patient Prefer Adherence Original Research BACKGROUND: Persistence of anti-tumor necrosis factor (TNF) therapy in rheumatoid arthritis (RA) is an overall marker of treatment success. OBJECTIVE: To assess the survival of anti-TNF treatment and to define the potential predictors of drug discontinuation in RA, in order to verify the adequacy of current practices. DESIGN: An observational, descriptive, longitudinal, retrospective study. SETTING: The Hospital Clínico Universitario de Valladolid, Valladolid, Spain. PATIENTS: RA patients treated with anti-TNF therapy between January 2011 and January 2012. MEASUREMENTS: Demographic information and therapy assessments were gathered from medical and pharmaceutical records. Data is expressed as means (standard deviations) for quantitative variables and frequency distribution for qualitative variables. Kaplan–Meier survival analysis was used to assess persistence, and Cox multivariate regression models were used to assess potential predictors of treatment discontinuation. RESULTS: In total, 126 treatment series with infliximab (n = 53), etanercept (n = 51) or adalimumab (n = 22) were administered to 91 patients. Infliximab has mostly been used as a first-line treatment, but it was the drug with the shortest time until a change of treatment. Significant predictors of drug survival were: age; the anti-TNF agent; and the previous response to an anti-TNF drug. LIMITATION: The small sample size. CONCLUSION: The overall efficacy of anti-TNF drugs diminishes with time, with infliximab having the shortest time until a change of treatment. The management of biologic therapy in patients with RA should be reconsidered in order to achieve disease control with a reduction in costs. Dove Medical Press 2013-07-29 /pmc/articles/PMC3764953/ /pubmed/24023512 http://dx.doi.org/10.2147/PPA.S47453 Text en © 2013 Martínez-Santana et al. This work is published by Dove Medical Press Ltd, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Ltd, provided the work is properly attributed.
spellingShingle Original Research
Martínez-Santana, Virginia
González-Sarmiento, E
Calleja-Hernández, MA
Sánchez-Sánchez, T
Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis
title Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis
title_full Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis
title_fullStr Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis
title_full_unstemmed Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis
title_short Comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis
title_sort comparison of drug survival rates for tumor necrosis factor antagonists in rheumatoid arthritis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3764953/
https://www.ncbi.nlm.nih.gov/pubmed/24023512
http://dx.doi.org/10.2147/PPA.S47453
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