Machine learning-based risk prediction model for neuropathic foot ulcers in patients with diabetic peripheral neuropathy.

Journal: Journal of diabetes investigation
Published Date:

Abstract

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes, marked by symptoms like hyperalgesia, numbness, and swelling that impair quality of life. Nerve conduction abnormalities in DPN significantly increase the risk of neuropathic foot ulcers (NFU), which can progress rapidly and lead to severe outcomes, including infection, gangrene, and amputation. Early prediction of NFU in DPN patients is crucial for timely intervention.

Authors

  • Ge Shi
    Department of Computer Sciences, University of California, Davis, United States.
  • Zhenxuan Gao
    Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Ze Zhang
    Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, 528308, China.
  • Quanyu Jin
    Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Sitong Li
    State Key Laboratory of Medicinal Chemical Biology, College of Chemistry and College of Pharmacy, Key Laboratory of Functional Polymer Materials, Frontiers Science Center for New Organic Matter, Nankai University, Tianjin, 300071, China.
  • Jiaxin Liu
    Department of Pulmonary Medicine, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian 361000, People's Republic of China.
  • Lei Kou
    China-Japan Friendship School of Clinical Medicine, Peking University, Beijing, China.
  • Abudurezhake Aerman
    China-Japan Friendship School of Clinical Medicine, Peking University, Beijing, China.
  • Wenqiang Yang
    Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. Electronic address: yangwq0111@foxmail.com.
  • Qi Wang
    Biotherapeutics Discovery Research Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
  • Furong Cai
    Chang Chun Institute of Applied Chemistry Chinese Academy of Sciences, Changchun City, Jilin Province, China.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.