樋口 智昭
   Department   School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine
   Position   Endowed Assistant Professor
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