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Thrombocytosis as a prognostic factor in polymyalgia rheumatica: characteristics determined from cluster analysis
BACKGROUND: This study aimed to identify the clinical subgroups of polymyalgia rheumatica (PMR) using cluster analysis and compare the outcomes among the identified subgroups. METHODS: We enrolled patients with PMR who were diagnosed at Okayama University Hospital, Japan between 2006 and 2017, met t...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6643174/ https://www.ncbi.nlm.nih.gov/pubmed/31367238 http://dx.doi.org/10.1177/1759720X19864822 |
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author | Hayashi, Keigo Ohashi, Keiji Watanabe, Haruki Sada, Ken-Ei Shidahara, Kenta Asano, Yosuke Asano, Sumie Hiramatsu Yamamura, Yuriko Miyawaki, Yoshia Morishita, Michiko Matsumoto, Yoshinori Kawabata, Tomoko Wada, Jun |
author_facet | Hayashi, Keigo Ohashi, Keiji Watanabe, Haruki Sada, Ken-Ei Shidahara, Kenta Asano, Yosuke Asano, Sumie Hiramatsu Yamamura, Yuriko Miyawaki, Yoshia Morishita, Michiko Matsumoto, Yoshinori Kawabata, Tomoko Wada, Jun |
author_sort | Hayashi, Keigo |
collection | PubMed |
description | BACKGROUND: This study aimed to identify the clinical subgroups of polymyalgia rheumatica (PMR) using cluster analysis and compare the outcomes among the identified subgroups. METHODS: We enrolled patients with PMR who were diagnosed at Okayama University Hospital, Japan between 2006 and 2017, met the 2012 European League Against Rheumatism/American College of Rheumatology provisional classification criteria for PMR, and were treated with glucocorticoids. Hierarchical cluster analysis using variables selected by principal component analysis was performed to identify the clusters. Subsequently, the outcomes among the identified clusters were compared in the study. The primary outcome was treatment response at 1 month after commencement of treatment. The secondary outcome was refractory clinical course, which was defined as the requirement of additional treatments or relapse during a 2-year observational period. RESULTS: A total of 61 consecutive patients with PMR were enrolled in the study. Their mean age was 71 years, and 67% were female. Hierarchical cluster analysis revealed three distinct subgroups: cluster 1 (n = 14) was characterized by patients with thrombocytosis (all patients showed a platelet count of >45 × 10⁴/µl), cluster 2 (n = 38), by patients without peripheral arthritis, and cluster 3 (n = 9), by patients with peripheral arthritis. The patients in cluster 1 achieved treatment response less frequently than those in cluster 2 (14% versus 47%, p = 0.030). Refractory cases were more frequent in cluster 1 than in cluster 2; however, no significant difference was noted (71% versus 42%, p = 0.06). CONCLUSIONS: Thrombocytosis could predict the clinical course in patients with PMR. |
format | Online Article Text |
id | pubmed-6643174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-66431742019-07-31 Thrombocytosis as a prognostic factor in polymyalgia rheumatica: characteristics determined from cluster analysis Hayashi, Keigo Ohashi, Keiji Watanabe, Haruki Sada, Ken-Ei Shidahara, Kenta Asano, Yosuke Asano, Sumie Hiramatsu Yamamura, Yuriko Miyawaki, Yoshia Morishita, Michiko Matsumoto, Yoshinori Kawabata, Tomoko Wada, Jun Ther Adv Musculoskelet Dis Original Research BACKGROUND: This study aimed to identify the clinical subgroups of polymyalgia rheumatica (PMR) using cluster analysis and compare the outcomes among the identified subgroups. METHODS: We enrolled patients with PMR who were diagnosed at Okayama University Hospital, Japan between 2006 and 2017, met the 2012 European League Against Rheumatism/American College of Rheumatology provisional classification criteria for PMR, and were treated with glucocorticoids. Hierarchical cluster analysis using variables selected by principal component analysis was performed to identify the clusters. Subsequently, the outcomes among the identified clusters were compared in the study. The primary outcome was treatment response at 1 month after commencement of treatment. The secondary outcome was refractory clinical course, which was defined as the requirement of additional treatments or relapse during a 2-year observational period. RESULTS: A total of 61 consecutive patients with PMR were enrolled in the study. Their mean age was 71 years, and 67% were female. Hierarchical cluster analysis revealed three distinct subgroups: cluster 1 (n = 14) was characterized by patients with thrombocytosis (all patients showed a platelet count of >45 × 10⁴/µl), cluster 2 (n = 38), by patients without peripheral arthritis, and cluster 3 (n = 9), by patients with peripheral arthritis. The patients in cluster 1 achieved treatment response less frequently than those in cluster 2 (14% versus 47%, p = 0.030). Refractory cases were more frequent in cluster 1 than in cluster 2; however, no significant difference was noted (71% versus 42%, p = 0.06). CONCLUSIONS: Thrombocytosis could predict the clinical course in patients with PMR. SAGE Publications 2019-07-18 /pmc/articles/PMC6643174/ /pubmed/31367238 http://dx.doi.org/10.1177/1759720X19864822 Text en © The Author(s), 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Hayashi, Keigo Ohashi, Keiji Watanabe, Haruki Sada, Ken-Ei Shidahara, Kenta Asano, Yosuke Asano, Sumie Hiramatsu Yamamura, Yuriko Miyawaki, Yoshia Morishita, Michiko Matsumoto, Yoshinori Kawabata, Tomoko Wada, Jun Thrombocytosis as a prognostic factor in polymyalgia rheumatica: characteristics determined from cluster analysis |
title | Thrombocytosis as a prognostic factor in polymyalgia rheumatica:
characteristics determined from cluster analysis |
title_full | Thrombocytosis as a prognostic factor in polymyalgia rheumatica:
characteristics determined from cluster analysis |
title_fullStr | Thrombocytosis as a prognostic factor in polymyalgia rheumatica:
characteristics determined from cluster analysis |
title_full_unstemmed | Thrombocytosis as a prognostic factor in polymyalgia rheumatica:
characteristics determined from cluster analysis |
title_short | Thrombocytosis as a prognostic factor in polymyalgia rheumatica:
characteristics determined from cluster analysis |
title_sort | thrombocytosis as a prognostic factor in polymyalgia rheumatica:
characteristics determined from cluster analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6643174/ https://www.ncbi.nlm.nih.gov/pubmed/31367238 http://dx.doi.org/10.1177/1759720X19864822 |
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