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Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy

The treatment options for PsA have substantially expanded over the last decade. Approximately 40% of patients will not respond to first-line anti-TNF-α therapies. There is limited data to help clinicians select the most appropriate biologic therapy for PsA patients, including guidance for decisions...

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Autores principales: Elliott, Ashley, McGonagle, Dennis, Rooney, Madeleine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709569/
https://www.ncbi.nlm.nih.gov/pubmed/34951926
http://dx.doi.org/10.1093/rheumatology/keab504
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author Elliott, Ashley
McGonagle, Dennis
Rooney, Madeleine
author_facet Elliott, Ashley
McGonagle, Dennis
Rooney, Madeleine
author_sort Elliott, Ashley
collection PubMed
description The treatment options for PsA have substantially expanded over the last decade. Approximately 40% of patients will not respond to first-line anti-TNF-α therapies. There is limited data to help clinicians select the most appropriate biologic therapy for PsA patients, including guidance for decisions on biologic therapy switching. In this review we will examine the current understanding of predictors of response to treatment. Imaging technology has evolved to allow us to better study psoriatic disease and define disease activity, including synovitis and enthesitis. Enthesitis is implicated in the pathogenesis, diagnosis and prognosis of PsA. It appears to be a common thread among all of the various PsA clinical presentations. Enthesitis mainly manifests as tenderness, which is difficult to distinguish from FM, chronic pain and mechanically associated enthesopathy, and it might be relevant for understanding the apparent 40% failure of existing therapy. Excess adipose tissue makes if more difficult to detect joint swelling clinically, as many PsA patients have very high BMIs. Integrating imaging and clinical assessment with biomarker analysis could help to deliver stratified medicine in PsA and allow better treatment decision making. This could include which patients require ongoing biologic therapy, which class of biologic therapy that should be, and who alternatively requires management of non-inflammatory disease.
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spelling pubmed-87095692022-01-04 Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy Elliott, Ashley McGonagle, Dennis Rooney, Madeleine Rheumatology (Oxford) Supplement Papers The treatment options for PsA have substantially expanded over the last decade. Approximately 40% of patients will not respond to first-line anti-TNF-α therapies. There is limited data to help clinicians select the most appropriate biologic therapy for PsA patients, including guidance for decisions on biologic therapy switching. In this review we will examine the current understanding of predictors of response to treatment. Imaging technology has evolved to allow us to better study psoriatic disease and define disease activity, including synovitis and enthesitis. Enthesitis is implicated in the pathogenesis, diagnosis and prognosis of PsA. It appears to be a common thread among all of the various PsA clinical presentations. Enthesitis mainly manifests as tenderness, which is difficult to distinguish from FM, chronic pain and mechanically associated enthesopathy, and it might be relevant for understanding the apparent 40% failure of existing therapy. Excess adipose tissue makes if more difficult to detect joint swelling clinically, as many PsA patients have very high BMIs. Integrating imaging and clinical assessment with biomarker analysis could help to deliver stratified medicine in PsA and allow better treatment decision making. This could include which patients require ongoing biologic therapy, which class of biologic therapy that should be, and who alternatively requires management of non-inflammatory disease. Oxford University Press 2021-12-24 /pmc/articles/PMC8709569/ /pubmed/34951926 http://dx.doi.org/10.1093/rheumatology/keab504 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Supplement Papers
Elliott, Ashley
McGonagle, Dennis
Rooney, Madeleine
Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy
title Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy
title_full Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy
title_fullStr Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy
title_full_unstemmed Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy
title_short Integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy
title_sort integrating imaging and biomarker assessment to better define psoriatic arthritis and predict response to biologic therapy
topic Supplement Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709569/
https://www.ncbi.nlm.nih.gov/pubmed/34951926
http://dx.doi.org/10.1093/rheumatology/keab504
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