Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort.

Journal: Arthritis research & therapy
PMID: 40140918

Abstract

BACKGROUND: Undifferentiated arthritis (UA) often develops into rheumatoid arthritis (RA), but predicting disease progression from seronegative UA remains challenging because seronegative RA often does not meet the classification criteria. This study aims to build a machine learning (ML) model to predict the progression from seronegative UA to RA using clinical and laboratory parameters.

Authors

  • Takayuki Fujii
    Department of Nephrology, Seirei Sakura Citizen hospital, Sakura, Chiba, Japan.
  • Koichi Murata
  • Hirohiko Kohjitani
    Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan. kohjitani.hirohiko.7z@kyoto-u.ac.jp.
  • Akira Onishi
    Department of Advanced Medicine for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Kosaku Murakami
    Center for Cancer Immunotherapy and Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Masao Tanaka
    Department of Advanced Medicine for Rheumatic Diseases, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyo, Kyoto, Japan.
  • Wataru Yamamoto
    Department of Cardiology, Higashi Takarazuka Satoh Hospital, Takarazuka, Japan.
  • Koji Nagai
    Department of Internal Medicine (IV), Osaka Medical and Pharmaceutical University, Takatsuki, Japan.
  • Ayaka Yoshikawa
    Department of Internal Medicine (IV), Osaka Medical and Pharmaceutical University, Takatsuki, Japan.
  • Yuki Etani
    Department of Sports Medical Biomechanics, Osaka University Graduate School of Medicine, Suita, Japan.
  • Yasutaka Okita
    Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan. y.okita@imed3.med.osaka-u.ac.jp.
  • Naofumi Yoshida
    Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto 860-8556, Japan (T.N., N.Y., N.K., Y.N., H.U., M.K., S.O., T.H.).
  • Hideki Amuro
    First Department of Internal Medicine, Kansai Medical University, Hirakata, Japan.
  • Tadashi Okano
    Center for Senile Degenerative Disorders (CSDD), Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
  • Yo Ueda
    Department of Rheumatology and Clinical Immunology, Kobe University Graduate School of Medicine, Kobe, Japan.
  • Takaichi Okano
    Department of Clinical Laboratory, Kobe University Hospital, Kobe, Japan.
  • Ryota Hara
    Department of Orthopaedic Surgery, Nara Medical University, Kashihara, Japan.
  • Motomu Hashimoto
    Department of Clinical Immunology, Osaka Metropolitan University, Osaka, Japan.
  • Akio Morinobu
    Department of Rheumatology and Clinical Immunology, Kyoto University, Kyoto, Japan.
  • Shuichi Matsuda
    Rehabilitation Unit, Kyoto University Hospital, Japan; Department of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, Japan.

Keywords

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