An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis.

Journal: Aging clinical and experimental research
PMID:

Abstract

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disease that leads to loss of muscle mass and function, resulting in adverse health outcomes such as falls, functional decline, and death. Knee osteoarthritis (KOA) is a common chronic degenerative joint disease among elderly individuals who causes joint pain and functional impairment. These two conditions often coexist in elderly individuals and are closely related. Early identification of the risk of sarcopenia in KOA patients is crucial for developing intervention strategies and improving patient health.

Authors

  • Ziyan Wang
    University of Michigan, Ann Arbor.
  • Yuqin Zhou
    Affiliated Hospital of Nanjing University of Chinese Medicine (Jiangsu Province Hospital of Chinese Medicine), Nanjing, 210029, China. zhouyuqin18@njucm.edu.cn.
  • Xing Zeng
    Second School of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510120, China. zengxing-china@163.com.
  • Yi Zhou
    Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Tao Yang
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
  • Kongfa Hu
    School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing Jiangsu 210029, China.