Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines.

Journal: BMC infectious diseases
PMID:

Abstract

OBJECTIVE: Bloodstream infection (BSI) is a significant cause of mortality in patients with hematologic malignancies(HMs), particularly amid rising antibiotic resistance. This study aimed to analyze pathogen distribution, drug-resistance patterns and develop a novel predictive model for 30-day mortality in HM patients with BSIs.

Authors

  • Qin Li
    Department of Spine Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.
  • Nan Lin
    Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
  • Zuheng Wang
    Department of Urology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, China.
  • Yuexi Chen
    The Affiliated Hospital of Traditional Chinese Medicine, Southwest Medical University, Luzhou, Sichuan, 646000, China.
  • Yuli Xie
    Guangxi Key Laboratory for Genomic and Personalized Medicine, Center for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, University Engineering Research Center of Digital Medicine and Healthcare, Guangxi Medical University, Nanning, Guangxi, China.
  • Xuemei Wang
    Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Jirui Tang
    Department of Hematology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
  • Yuling Xu
    Department of Biology and Medicine, China University of Mining and Technology of School of Chemical Engineering & Technology, Xuzhou, Jiangsu, China (mainland).
  • Min Xu
    Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Na Lu
  • Yiqian Huang
    School of Mathematics and Big Data, Foshan University, Foshan, Guangdong.
  • Jiamin Luo
    Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Zhenfang Liu
    Reproductive Medicine Center, Xiamen University Affiliated Chenggong Hospital, Xiamen, 361003, Fujian, China.
  • Li Jing
    Massachusetts Institute of Technology, Cambridge, MA 02139, U.S.A. ljing@mit.edu.