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The Search for Biomarkers in Fibromyalgia

Fibromyalgia is the most common of the central sensitivity syndromes affecting 2–5% of the adult population in the United States. This pain amplification syndrome has enormous societal impact as measured by work absenteeism, decreased work productivity, disability and injury compensation and over-ut...

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Detalles Bibliográficos
Autor principal: Hackshaw, Kevin V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911687/
https://www.ncbi.nlm.nih.gov/pubmed/33494476
http://dx.doi.org/10.3390/diagnostics11020156
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author Hackshaw, Kevin V.
author_facet Hackshaw, Kevin V.
author_sort Hackshaw, Kevin V.
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description Fibromyalgia is the most common of the central sensitivity syndromes affecting 2–5% of the adult population in the United States. This pain amplification syndrome has enormous societal impact as measured by work absenteeism, decreased work productivity, disability and injury compensation and over-utilization of healthcare resources. Multiple studies have shown that early diagnosis of this condition can improve patient outlook and redirect valuable healthcare resources towards more appropriate targeted therapy. Efforts have been made towards improving diagnostic accuracy through updated criteria. The search for biomarkers for diagnosis and verification of Fibromyalgia is an ongoing process. Inadequacies with current diagnostic criteria for this condition have fueled these efforts for identification of a reproducible marker that can verify this disease in a highly sensitive, specific and reproducible manner. This review focuses on areas of research for biomarkers in fibromyalgia and suggests that future efforts might benefit from approaches that utilize arrays of biomarkers to identify this disorder that presents with a diverse clinical phenotype.
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spelling pubmed-79116872021-02-28 The Search for Biomarkers in Fibromyalgia Hackshaw, Kevin V. Diagnostics (Basel) Review Fibromyalgia is the most common of the central sensitivity syndromes affecting 2–5% of the adult population in the United States. This pain amplification syndrome has enormous societal impact as measured by work absenteeism, decreased work productivity, disability and injury compensation and over-utilization of healthcare resources. Multiple studies have shown that early diagnosis of this condition can improve patient outlook and redirect valuable healthcare resources towards more appropriate targeted therapy. Efforts have been made towards improving diagnostic accuracy through updated criteria. The search for biomarkers for diagnosis and verification of Fibromyalgia is an ongoing process. Inadequacies with current diagnostic criteria for this condition have fueled these efforts for identification of a reproducible marker that can verify this disease in a highly sensitive, specific and reproducible manner. This review focuses on areas of research for biomarkers in fibromyalgia and suggests that future efforts might benefit from approaches that utilize arrays of biomarkers to identify this disorder that presents with a diverse clinical phenotype. MDPI 2021-01-21 /pmc/articles/PMC7911687/ /pubmed/33494476 http://dx.doi.org/10.3390/diagnostics11020156 Text en © 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Hackshaw, Kevin V.
The Search for Biomarkers in Fibromyalgia
title The Search for Biomarkers in Fibromyalgia
title_full The Search for Biomarkers in Fibromyalgia
title_fullStr The Search for Biomarkers in Fibromyalgia
title_full_unstemmed The Search for Biomarkers in Fibromyalgia
title_short The Search for Biomarkers in Fibromyalgia
title_sort search for biomarkers in fibromyalgia
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911687/
https://www.ncbi.nlm.nih.gov/pubmed/33494476
http://dx.doi.org/10.3390/diagnostics11020156
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