Early prediction of bone destruction in rheumatoid arthritis through machine learning analysis of plasma metabolites.

Journal: Arthritis research & therapy
Published Date:

Abstract

BACKGROUND: To develop a predictive model for bone destruction in patients with rheumatoid arthritis (RA), based on the characteristics of plasma metabolites and common clinical indicators.

Authors

  • Zihan Wang
    Graduate School, Beijing University of Chinese Medicine, Beijing, China.
  • Tianyi Lan
    Department of Traditional Chinese Medicine Rheumatism, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, People's Republic of China.
  • Yi Jiao
    School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China.
  • Xing Wang
    Department of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, China.
  • Hongwei Yu
    Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, Beijing, 100029, China.
  • Qishun Geng
    China-Japan Friendship Clinical Medical College, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
  • Jiahe Xu
    Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People's Republic of China.
  • Cheng Xiao
    State & Local Joint Engineering Research Center of Green Pesticide Invention and Application, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China.
  • Qingwen Tao
    Department of Traditional Chinese Medicine Rheumatism, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing, People's Republic of China. taoqg1@sina.com.
  • Yuan Xu
    Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an, China.