Phenotype, serotype, and data-driven clustering reveal complementary dimensions of heterogeneity in ANCA-associated vasculitis: a multicentre Japanese cohort (J-CANVAS)

Phenotype and serotype classifications provide complementary, not competing, prognostic insights in Japanese patients with AAV. Data-driven clustering revealed additional clinical heterogeneity not captured by traditional systems, underscoring the need for integrated, multi-dimensional stratification approaches to improve personalised risk assessment and treatment strategies.

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Publication Details

Journal
Rheumatology International
Published
2025-11-12
DOI
https://doi.org/10.1007/s00296-025-06014-y
Primary Topic
Vasculitis and related conditions
Type
article
Field-Weighted Citation Impact
0.00
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article

Phenotype, serotype, and data-driven clustering reveal complementary dimensions of heterogeneity in ANCA-associated vasculitis: a multicentre Japanese cohort (J-CANVAS)

Naoho Takizawa, Naoto Azuma, Makoto Wada, Ryo Nishioka et al.
Rheumatology International
Vasculitis and related conditions
article

Phenotype, serotype, and data-driven clustering reveal complementary dimensions of heterogeneity in ANCA-associated vasculitis: a multicentre Japanese cohort (J-CANVAS)

Naoho Takizawa, Naoto Azuma, Makoto Wada, Ryo Nishioka, Yutaka Kawahito, Toshiko Ito‐Ihara, Shoichi Fukui, Kazuro Kamada, Tomoaki Takata, Hiroaki Dobashi, Yasuhiro Shimojima, Genki Kidoguchi, Takashi Kawaguchi, Tohru Takeuchi, Takashi Kida, Satoshi Ōmura, Yuji Kukida, Daiki Nakagomi, Naoya Kondo, Yoshia Miyawaki, Toshihiko Takada, Nobuyuki Yajima, Tsuyoshi Shirai, Isao Matsumoto, Ryo Yanai, Yusuke Yoshida, Shintaro Hirata, Yoshiyuki Abe, Atsushi Nomura, Takafumi Ito, Ryota Okazaki, Koji Endo, H. Takagi, Mayuko Moriyama, Ayuko Takatani, Yusuke Matsuo
article en

Abstract

Phenotype and serotype classifications provide complementary, not competing, prognostic insights in Japanese patients with AAV. Data-driven clustering revealed additional clinical heterogeneity not captured by traditional systems, underscoring the need for integrated, multi-dimensional stratification approaches to improve personalised risk assessment and treatment strategies.

Rheumatology InternationalVol. 45(12)
Kanazawa University (JP), SHOWA Medical University (JP), Tokyo Medical and Dental University (JP), Fukushima Medical University (JP), Shinshu University (JP), University of Tsukuba (JP), Tokyo University of Pharmacy and Life Sciences (JP), Okayama University (JP), Shimane University (JP), Kagawa University (JP), Hokkaido University (JP), Juntendo University (JP), Kyoto Prefectural University of Medicine (JP), St. Luke's International Hospital (JP), Chubu Rosai Hospital (JP), Sasebo City General Hospital (JP), Tohoku University Hospital (JP), University of Yamanashi Hospital (JP), Kagoshima University Hospital (JP), Hiroshima University Hospital (JP), Kure Kyosai Hospital (JP), Tottori Prefectural Central Hospital (JP), University Hospital Kyoto Prefectural University of Medicine (JP), Teikyo University Chiba Medical Center (JP), Kyoto Katsura Hospital (JP), Japanese Red Cross Society Kyoto Daini Hospital (JP), Institute of Applied Biochemistry (JP), Nagasaki University (JP), Tottori University (JP), Hyogo University (JP), Osaka University of Pharmaceutical Sciences (JP)
Openalex Percentile: Top 51%
Vasculitis and related conditions
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