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Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification?
PURPOSE OF REVIEW: There are currently several available biologics for rheumatoid arthritis (RA) with similar efficacy in most trials. A major consideration therefore in choosing a biologic, continues to be safety concerns such as infection. Considerable advances have been made in the understanding...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams And Wilkins
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443047/ https://www.ncbi.nlm.nih.gov/pubmed/30789850 http://dx.doi.org/10.1097/BOR.0000000000000598 |
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author | Jani, Meghna Barton, Anne Hyrich, Kimme |
author_facet | Jani, Meghna Barton, Anne Hyrich, Kimme |
author_sort | Jani, Meghna |
collection | PubMed |
description | PURPOSE OF REVIEW: There are currently several available biologics for rheumatoid arthritis (RA) with similar efficacy in most trials. A major consideration therefore in choosing a biologic, continues to be safety concerns such as infection. Considerable advances have been made in the understanding of biologic safety on a population level; however, how close are we to stratifying risk for individual patients? This review discusses evidence published in the last year, with reference to key previous literature. RECENT FINDINGS: Comparative safety of biologics has been studied in observational cohorts, with a possible increased risk of serious infection in tocilizumab-treated patients compared with etanercept. Rheumatoid arthritis patients on biologics are often on concomitant medications such as steroids and opioids, and the advances in relation to infection are summarized. Pharmacological biomarkers and optimizing existing risk prediction scores may allow better future risk stratification. SUMMARY: Improved quantification of personalized benefit:harms would allow better-informed decisions, reduction of infection-associated morbidity as well as direct/indirect costs associated with biologics. Although advances have been made to better understand and predict risk, future studies are likely to require a range of novel data sources and methodologies for the goal of precision medicine to be truly realized. |
format | Online Article Text |
id | pubmed-6443047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Lippincott Williams And Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-64430472019-05-01 Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? Jani, Meghna Barton, Anne Hyrich, Kimme Curr Opin Rheumatol RHEUMATOID ARTHRITIS: Edited by Jon T. Giles PURPOSE OF REVIEW: There are currently several available biologics for rheumatoid arthritis (RA) with similar efficacy in most trials. A major consideration therefore in choosing a biologic, continues to be safety concerns such as infection. Considerable advances have been made in the understanding of biologic safety on a population level; however, how close are we to stratifying risk for individual patients? This review discusses evidence published in the last year, with reference to key previous literature. RECENT FINDINGS: Comparative safety of biologics has been studied in observational cohorts, with a possible increased risk of serious infection in tocilizumab-treated patients compared with etanercept. Rheumatoid arthritis patients on biologics are often on concomitant medications such as steroids and opioids, and the advances in relation to infection are summarized. Pharmacological biomarkers and optimizing existing risk prediction scores may allow better future risk stratification. SUMMARY: Improved quantification of personalized benefit:harms would allow better-informed decisions, reduction of infection-associated morbidity as well as direct/indirect costs associated with biologics. Although advances have been made to better understand and predict risk, future studies are likely to require a range of novel data sources and methodologies for the goal of precision medicine to be truly realized. Lippincott Williams And Wilkins 2019-05 2019-03-01 /pmc/articles/PMC6443047/ /pubmed/30789850 http://dx.doi.org/10.1097/BOR.0000000000000598 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | RHEUMATOID ARTHRITIS: Edited by Jon T. Giles Jani, Meghna Barton, Anne Hyrich, Kimme Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? |
title | Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? |
title_full | Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? |
title_fullStr | Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? |
title_full_unstemmed | Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? |
title_short | Prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? |
title_sort | prediction of infection risk in rheumatoid arthritis patients treated with biologics: are we any closer to risk stratification? |
topic | RHEUMATOID ARTHRITIS: Edited by Jon T. Giles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443047/ https://www.ncbi.nlm.nih.gov/pubmed/30789850 http://dx.doi.org/10.1097/BOR.0000000000000598 |
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