Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study.

Journal: Aging clinical and experimental research
PMID: 39979762

Abstract

BACKGROUND: Sarcopenia is a common complication in patients with stroke, adversely affecting recovery and increasing mortality risk. However, no standardised tool exists for its screening in this population. This study aims to identify factors influencing sarcopenia in patients with stroke, develop a risk prediction model and evaluate its predictive performance.

Authors

  • Huan Yan
    School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China. Electronic address: huanyancquc@163.com.
  • Juan Li
    Department of Hygienic Inspection, School of Public Health, Jilin University 1163 Xinmin Street Changchun 130021 Jilin China songxiuling@jlu.edu.cn li_juan@jlu.edu.cn jinmh@jlu.edu.cn +86 43185619441.
  • Yujie Li
    College of Orthopedics and Traumatology, Henan University of Chinese Medicine, Zhengzhou, China.
  • Lihong Xian
    School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China.
  • Huan Tang
    Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
  • Xuejiao Zhao
    School of Nursing, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
  • Ting Lu
    West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.

Keywords

External Resources

Popular Topics
Recent Journals