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ORIGINAL RESEARCH article

Front. Microbiol.
Sec. Systems Microbiology
Volume 15 - 2024 | doi: 10.3389/fmicb.2024.1512091
This article is part of the Research Topic Artificial Intelligence in Pathogenic Microorganism Research View all 12 articles

Prediction and analysis of toxic and side effects of tigecycline based on deep learning

Provisionally accepted
Yin Xiong Yin Xiong 1Guo Xin Liu Guo Xin Liu 2Xin Tang Xin Tang 2Boyang Xia Boyang Xia 3Yalian Yu Yalian Yu 4*Guangjun Fan Guangjun Fan 2*
  • 1 Sheng Jing Hospital Affiliated, China Medical University, Shenyang, Liaoning Province, China
  • 2 Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
  • 3 Communication University of China, Beijing, Beijing Municipality, China
  • 4 The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China

The final, formatted version of the article will be published soon.

    Background : In recent years, with the increase of antibiotic resistance, tigecycline has attracted much attention as a new broad-spectrum glycylcycline antibiotic. It is widely used in the treatment of complex skin and soft tissue infections, complex abdominal infections and hospital-acquired pneumonia by inhibiting bacterial protein synthesis. Tigecycline can exhibit significant time-dependent bactericidal activity, and its efficacy is closely related to pharmacokinetics. It can be evaluated by the ratio of AUC0-24 to the minimum inhibitory concentration ( MIC ) of pathogens. However, tigecycline may cause nausea, vomiting, diarrhea and a few patients have elevated serum aminotransferase, especially in critically ill patients. The safety of patients still needs further study.Methods : In this study, the clinical data of 263 patients with pulmonary infection in

    Keywords: Deep learning1, Tigecycline2, Pharmacokins3, Hospital days4, hepatotoxicity5

    Received: 16 Oct 2024; Accepted: 03 Dec 2024.

    Copyright: © 2024 Xiong, Liu, Tang, Xia, Yu and Fan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yalian Yu, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning Province, China
    Guangjun Fan, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China

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