Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study.

Journal: The American journal of clinical nutrition
PMID:

Abstract

BACKGROUND: Cachexia is associated with multiple adverse outcomes in cancer. However, clinical decision-making for oncology patients at the cachexia stage presents significant challenges.

Authors

  • Liangyu Yin
    Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China; Institute of Hepatopancreatobiliary Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Xin Lin
    Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
  • Ling Zhang
  • Yang Fan
    Colby College, Waterville, Maine, United States of America.
  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Zongliang Lu
    School of Public Administration, Guangdong University of Finance and Economics, Guangzhou 510320, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Jiuwei Cui
    Cancer Center, The First Bethune Hospital of Jilin University, Changchun, Jilin, China.
  • Zengqing Guo
    Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, 350014, China. Electronic address: gzq_005@126.com.
  • Qinghua Yao
    Department of Integrated Traditional Chinese and Western Medicine, Zhejiang Cancer Hospital and Key Laboratory of Traditional Chinese Medicine Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
  • Fuxiang Zhou
    Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Clinical Cancer Study Center, Zhongnan Hospital, Wuhan University, Wuhan 430071, China.
  • Ming Liu
    School of Land Engineering, Chang'an University, Xi'an 710064, China; Xi'an Key Laboratory of Territorial Spatial Information, School of Land Engineering, Chang'an University, Xi'an 710064, China. Electronic address: mingliu@chd.edu.cn.
  • Zhikang Chen
    Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China. Electronic address: 2211100190@nbu.edu.cn.
  • Huiqing Yu
    Department of Palliative Care and Department of Geriatric Oncology, Chongqing University Cancer Hospital, Chongqing, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Zengning Li
    Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050031, China.
  • Pingping Jia
    Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
  • Chunhua Song
    Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China.
  • Hanping Shi
    Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. Electronic address: shihp@ccmu.edu.cn.
  • Hongxia Xu
    Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China. Electronic address: hx_xu2015@163.com.