Prediction of teicoplanin plasma concentration in critically ill patients: a combination of machine learning and population pharmacokinetics.

Journal: The Journal of antimicrobial chemotherapy
PMID: 39207798

Abstract

BACKGROUND: Teicoplanin has been widely used in patients with infections caused by Staphylococcus aureus, especially for critically ill patients. The pharmacokinetics (PK) of teicoplanin vary between individuals and within the same individual. We aim to establish a prediction model via a combination of machine learning and population PK (PPK) to support personalized medication decisions for critically ill patients.

Authors

  • Pan Ma
    College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, P. R. China.
  • Shenglan Shang
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China.
  • Ruixiang Liu
    School of Intelligent Medicine, China Medical University, Shenyang, China.
  • Yuzhu Dong
    Department of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
  • Jiangfan Wu
    Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
  • Wenrui Gu
    Department of Pharmacy, The First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • Mengchen Yu
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China.
  • Jing Liu
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Yongchuan Chen
    School of Art, Sun Yat-Sen University, No. 135 West Xingang Road, Guangzhou 510275, China.

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