A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections.

Journal: BMC pulmonary medicine
PMID: 40097977

Abstract

BACKGROUND: In hospitalized patients, inadequate antibiotic dosage leading to bacterial resistance and increased antimicrobial use intensity due to overexposure to antibiotics are common problems. In the present study, we constructed a machine learning model based on patients' clinical information to predict the clinical effectiveness of Piperacillin-tazobactam (TZP) (4:1) in treating bacterial lower respiratory tract infections (LRTIs), to assist clinicians in making better clinical decisions.

Authors

  • Yemeng Yang
    Department of Respiratory and Critical Care Medicine, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
  • Kun Han
    DeepVoxel Inc., Irvine, USA.
  • Jiatao Li
    School of Pharmacy, Shanghai University of Medicine & Health Sciences, Shanghai, China.
  • Tao Zhang
    Department of Traumatology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, 40044, People's Republic of China.
  • Zhijing Zhu
    School of Medicine, School of Computer & Computing Science, Zhejiang University City College, Hangzhou 310015, China.
  • Ling Su
    Department of Infusion Room of Emergency, Children's Hospital of Nanjing Medical University, Nanjing, 210000 Jiangsu Province, China.
  • Zhaoyong Han
    Department of Respiratory and Critical Care Medicine, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
  • Chunyan Xu
    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China; State Key Laboratory of High-end Server & Storage Technology, Jinan, 250300, Shandong, China. Electronic address: cyx@njust.edu.cn.
  • Yi Lu
    Department of Gastrointestinal Endoscopy, The Sixth Affiliated Hospital, Sun Yat-Sen University, 26th Yuancun the Second Road, Guangzhou, 510655, Guangdong Province, China.
  • Likun Pan
    Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China.
  • Tao Yang
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.

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