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Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?

Although great progress has been made in the past decade toward understanding the pathogenesis of rheumatoid arthritis (RA), clinicians remain some distance from a goal of personalized health care. The capacity to diagnose RA early, predict prognosis, and moreover predict response to biologic therap...

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Detalles Bibliográficos
Autores principales: Humby, Frances Claire, Al Balushi, Farida, Lliso, Gloria, Cauli, Alberto, Pitzalis, Costantino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413506/
https://www.ncbi.nlm.nih.gov/pubmed/28516086
http://dx.doi.org/10.3389/fmed.2017.00041
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author Humby, Frances Claire
Al Balushi, Farida
Lliso, Gloria
Cauli, Alberto
Pitzalis, Costantino
author_facet Humby, Frances Claire
Al Balushi, Farida
Lliso, Gloria
Cauli, Alberto
Pitzalis, Costantino
author_sort Humby, Frances Claire
collection PubMed
description Although great progress has been made in the past decade toward understanding the pathogenesis of rheumatoid arthritis (RA), clinicians remain some distance from a goal of personalized health care. The capacity to diagnose RA early, predict prognosis, and moreover predict response to biologic therapies has been a research focus for many years. How currently available clinical prediction models can facilitate such goals is reviewed in this article. In addition, the role of current imaging techniques in this regard is also discussed. Finally, the authors review the current literature regarding synovial biomarkers and consider whether integration of synovial pathobiology into clinical prediction algorithms may enhance their predictive value.
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spelling pubmed-54135062017-05-17 Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis? Humby, Frances Claire Al Balushi, Farida Lliso, Gloria Cauli, Alberto Pitzalis, Costantino Front Med (Lausanne) Medicine Although great progress has been made in the past decade toward understanding the pathogenesis of rheumatoid arthritis (RA), clinicians remain some distance from a goal of personalized health care. The capacity to diagnose RA early, predict prognosis, and moreover predict response to biologic therapies has been a research focus for many years. How currently available clinical prediction models can facilitate such goals is reviewed in this article. In addition, the role of current imaging techniques in this regard is also discussed. Finally, the authors review the current literature regarding synovial biomarkers and consider whether integration of synovial pathobiology into clinical prediction algorithms may enhance their predictive value. Frontiers Media S.A. 2017-05-03 /pmc/articles/PMC5413506/ /pubmed/28516086 http://dx.doi.org/10.3389/fmed.2017.00041 Text en Copyright © 2017 Humby, Al Balushi, Lliso, Cauli and Pitzalis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Humby, Frances Claire
Al Balushi, Farida
Lliso, Gloria
Cauli, Alberto
Pitzalis, Costantino
Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?
title Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?
title_full Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?
title_fullStr Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?
title_full_unstemmed Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?
title_short Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?
title_sort can synovial pathobiology integrate with current clinical and imaging prediction models to achieve personalized health care in rheumatoid arthritis?
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413506/
https://www.ncbi.nlm.nih.gov/pubmed/28516086
http://dx.doi.org/10.3389/fmed.2017.00041
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