| ID | 70941 |
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Sugihara, Takahiko
Department of Rheumatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo
Harigai, Masayoshi
Division of Rheumatology, Department of Internal Medicine, Tokyo Women’s Medical University School of Medicine
Uchida, Haruhito A.
Department of Chronic Kidney Disease and Cardiovascular Disease, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine
ORCID
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Yoshifuji, Hajime
Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University
Maejima, Yasuhiro
Department of Cardiovascular Medicine, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo
Ishizaki, Jun
Department of Hematology, Clinical Immunology and Infectious Diseases, Ehime University Graduate School of Medicine
Watanabe, Yoshiko
Department of General Medicine, Kawasaki Medical School
Dobashi, Hiroaki
Division of Hematology, Rheumatology and Respiratory Medicine, Department of Internal Medicine, Faculty of Medicine, Kagawa University
Komagata, Yoshinori
Department of Nephrology and Rheumatology, Kyorin University School of Medicine
Tamura, Naoto
Department of Internal Medicine and Rheumatology, Juntendo University School of Medicine
Nakaoka, Yoshikazu
Department of Vascular Physiology, National Cerebral and Cardiovascular Center Research Institute
Japan Research Committee of the Ministry of Health, Labour, and Welfare for Intractable Vasculitis (JPVAS)
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| Abstract | Objective To evaluate the ability to discriminate giant cell arteritis (GCA) from Takayasu arteritis (TAK) according to the modified 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology (ACR/EULAR) GCA classification criteria.
Methods Patients enrolled in the Japanese nationwide retrospective registry were evaluated using the criteria with partial modification; wall thickening of descending thoracic-abdominal aorta were mainly diagnosed by contrast-enhanced computed tomography (CT) or magnetic resonance imaging instead of evaluating with positron emission tomography (PET)-CT. The discriminability of the criteria was evaluated using C-statistic (> 0.7: good ability). Results Newly diagnosed patients with GCA (n = 139) and TAK (n = 129) were assessed, and 23.3% of TAK were aged 50 years or older at onset. The sensitivity of the modified 2022 ACR/EULAR GCA classification criteria with a score ≥ 6 was 82.0%, 68.5%, and 32.1% in all GCA, GCA with large-vessel involvement, and GCA without cranial arteritis, respectively. The specificity of the modified criteria was 96.1% for the 129 TAK as controls. Five patients with late-onset TAK met the modified criteria, and four had cranial signs and symptoms, two had bilateral axillary artery involvement, and four had descending thoracic-abdominal aorta involvement. The discriminability of the criteria was good (C-statistic: 0.986, 95% confidence interval [CI]: 0.976–0.996) and remained good after excluding age (C-statistic: 0.927, 95% CI: 0.894–0.961). The discriminability of a set of large-vessel lesions (bilateral axillary artery and descending thoracic-abdominal aorta) and inflammatory markers was markedly decreased with poor C-statistic value (C-statistic: 0.598, 95% CI: 0.530–0.667). Discriminability was improved after adding polymyalgia rheumatica (PMR) (C-statistic: 0.757, 95% CI: 0.700–0.813) or age (C-statistic: 0.913, 95%CI: 0.874–0.951) to the set of large-vessel lesions. In GCA patients with a score ≤ 5, 52% had bilateral subclavian and/or axillary artery involvement. Conclusion The modified 2022 ACR/EULAR GCA classification criteria well performed in classifying GCA and TAK without PET-CT in routine clinical practice. A set of items included in the modified GCA classification criteria had good discriminative ability for GCA and TAK, even when age was excluded. However, age restriction or PMR was required to distinguish GCA without cranial lesions from TAK. |
| Keywords | GCA
TAK
Classification criteria
Bilateral axillary artery
Descending thoracic-abdominal aorta
Bilateral subclavian artery
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| Published Date | 2025-01-31
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| Publication Title |
Arthritis Research & Therapy
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| Volume | volume27
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| Issue | issue1
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| Publisher | Springer Science and Business Media LLC
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| Start Page | 19
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| ISSN | 1478-6362
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| Content Type |
Journal Article
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| language |
English
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| OAI-PMH Set |
岡山大学
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| Copyright Holders | © The Author(s) 2025.
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| File Version | publisher
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| PubMed ID | |
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| Web of Science KeyUT | |
| Related Url | isVersionOf https://doi.org/10.1186/s13075-025-03486-y
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| License | http://creativecommons.org/licenses/by/4.0/
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| Citation | Sugihara, T., Harigai, M., Uchida, H.A. et al. Performance of the modified 2022 ACR/EULAR giant cell arteritis classification criteria without age restriction for discriminating from Takayasu arteritis. Arthritis Res Ther 27, 19 (2025). https://doi.org/10.1186/s13075-025-03486-y
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| 助成情報 |
H29-nanchitou (nan)-ippan-018:
( 厚生労働省 / Ministry of Health )
20FC1044:
( 厚生労働省 / Ministry of Health )
23FC1019:
( 厚生労働省 / Ministry of Health )
17ek0109121:
難治性血管炎診療のエビデンス構築のための戦略的研究
( 国立研究開発法人日本医療研究開発機構 / Japan Agency for Medical Research and Development )
24ek0109633h0002:
高安動脈炎における血管合併症バイオマーカーの開発に向けたエビデンス創出研究
( 国立研究開発法人日本医療研究開発機構 / Japan Agency for Medical Research and Development )
23K09729:
大規模医療ビッグデータを用いたリウマチ性疾患における医療ニーズに関する疫学研究
( 文部科学省 / Ministry of Education )
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