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The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population
BACKGROUND: To update community-based prevalence values for Polymyalgia Rheumatic (PMR) and Giant Cell Arteritis (GCA) using case record review supplemented by population survey and subsequent clinical review. METHODS: Clinical data were obtained from case records of a large primary care practice in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946178/ https://www.ncbi.nlm.nih.gov/pubmed/27421253 http://dx.doi.org/10.1186/s12891-016-1127-3 |
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author | Yates, Max Graham, Karly Watts, Richard Arthur MacGregor, Alexander James |
author_facet | Yates, Max Graham, Karly Watts, Richard Arthur MacGregor, Alexander James |
author_sort | Yates, Max |
collection | PubMed |
description | BACKGROUND: To update community-based prevalence values for Polymyalgia Rheumatic (PMR) and Giant Cell Arteritis (GCA) using case record review supplemented by population survey and subsequent clinical review. METHODS: Clinical data were obtained from case records of a large primary care practice in Norfolk, UK and reviewed for diagnoses of GCA and PMR. In addition postal survey was carried out to capture potentially undiagnosed cases within the practice population. Those screening positive for potential diagnoses of GCA and PMR were invited for clinical review. A cumulative prevalence estimate was subsequently calculated on those diagnosed within the GP practice and subsequently on those fulfilling the various published classification criteria sets. The date of the database lock and mail merge was March 2013. RESULTS: Through detailed systematic review of 5,159 GP case records, 21 patients had a recorded diagnosis of GCA and 117 had PMR.No new cases were identified among 2,227 completed questionnaires returned from the population survey of a sample of 4,728. The resulting cumulative prevalence estimate in those aged ≥ 55 years meeting the ACR classification criteria set for GCA was 0.25 % (95 % CI 0.11 to 0.39 %) and for five published criteria sets for PMR ranged from 0.91 to 1.53 % (95 % CI ranges 0.65 %, 1.87 %). The prevalence of both conditions was higher in women than in men and in older age groups. CONCLUSION: This study provides the first UK prevalence estimate of GCA and PMR in over 30 years and is the first to apply classification criteria sets. |
format | Online Article Text |
id | pubmed-4946178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49461782016-07-16 The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population Yates, Max Graham, Karly Watts, Richard Arthur MacGregor, Alexander James BMC Musculoskelet Disord Research Article BACKGROUND: To update community-based prevalence values for Polymyalgia Rheumatic (PMR) and Giant Cell Arteritis (GCA) using case record review supplemented by population survey and subsequent clinical review. METHODS: Clinical data were obtained from case records of a large primary care practice in Norfolk, UK and reviewed for diagnoses of GCA and PMR. In addition postal survey was carried out to capture potentially undiagnosed cases within the practice population. Those screening positive for potential diagnoses of GCA and PMR were invited for clinical review. A cumulative prevalence estimate was subsequently calculated on those diagnosed within the GP practice and subsequently on those fulfilling the various published classification criteria sets. The date of the database lock and mail merge was March 2013. RESULTS: Through detailed systematic review of 5,159 GP case records, 21 patients had a recorded diagnosis of GCA and 117 had PMR.No new cases were identified among 2,227 completed questionnaires returned from the population survey of a sample of 4,728. The resulting cumulative prevalence estimate in those aged ≥ 55 years meeting the ACR classification criteria set for GCA was 0.25 % (95 % CI 0.11 to 0.39 %) and for five published criteria sets for PMR ranged from 0.91 to 1.53 % (95 % CI ranges 0.65 %, 1.87 %). The prevalence of both conditions was higher in women than in men and in older age groups. CONCLUSION: This study provides the first UK prevalence estimate of GCA and PMR in over 30 years and is the first to apply classification criteria sets. BioMed Central 2016-07-15 /pmc/articles/PMC4946178/ /pubmed/27421253 http://dx.doi.org/10.1186/s12891-016-1127-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Yates, Max Graham, Karly Watts, Richard Arthur MacGregor, Alexander James The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population |
title | The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population |
title_full | The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population |
title_fullStr | The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population |
title_full_unstemmed | The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population |
title_short | The prevalence of giant cell arteritis and polymyalgia rheumatica in a UK primary care population |
title_sort | prevalence of giant cell arteritis and polymyalgia rheumatica in a uk primary care population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946178/ https://www.ncbi.nlm.nih.gov/pubmed/27421253 http://dx.doi.org/10.1186/s12891-016-1127-3 |
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