樋口 智昭
Department School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine Position Endowed Assistant Professor |
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Article types | Original article |
Language | English |
Peer review | Peer reviewed |
Title | Validation of new ACR/EULAR 2022 classification criteria for anti-neutrophil cytoplasmic antibody-associated vasculitis. |
Journal | Formal name:Modern rheumatology Abbreviation:Mod Rheumatol ISSN code:14397609/14397595 |
Volume, Issue, Page | pp.017 |
Author and coauthor | Sada Ken-Ei, Kaname Shinya, Higuchi Tomoaki, Furuta Shunsuke, Nagasaka Kenji, Nanki Toshihiro, Tsuboi Naotake, Amano Koichi, Dobashi Hiroaki, Hiromura Keiju, Bando Masashi, Wada Takashi, Arimura Yoshihiro, Makino Hirofumi, Harigai Masayoshi |
Publication date | 2023/01/27 |
Summary | OBJECTIVE:The objective of this study was to compare the ACR/EULAR 2022 criteria with the previous classification algorithm for anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).METHODS:We used data from two nationwide, prospective, inception cohort studies. The enrolled patients were classified as having eosinophilic granulomatosis with polyangiitis (EGPA), granulomatosis with polyangiitis (GPA), or microscopic polyangiitis (MPA) according to the new criteria; these criteria were compared with Watts' algorithm.RESULTS:Among 477 patients, 10.7%, 9.9%, and 75.6% were classified as having EGPA, GPA, and MPA, respectively; 6.1% were unclassifiable. Three patients met both the EGPA and MPA criteria and eight patients met both the GPA and MPA criteria. Of 78 patients with GPA classified using Watts' algorithm, 27 (34.6%) patients were reclassified as having MPA. Ear, nose, and throat involvement were significantly less frequent in patients reclassified as having MPA than in those reclassified as having GPA. Of 73 patients unclassifiable using Watts' algorithm, 62 were reclassified as having MPA. All patients reclassified as having MPA were MPO-ANCA positive, and 46 had ILD.CONCLUSION:Although the ACR/EULAR 2022 criteria cause overlapping multiple criteria fulfillments in some patients, those items contribute to classifying unclassifiable patients using Watts' algorithm into MPA. |
DOI | 10.1093/mr/road017 |
PMID | 36715080 |