Optimizing vancomycin dosing in pediatrics: a machine learning approach to predict trough concentrations in children under four years of age.

Journal: International journal of clinical pharmacy
PMID: 38861047

Abstract

BACKGROUND: Vancomycin trough concentration is closely associated with clinical efficacy and toxicity. Predicting vancomycin trough concentrations in pediatric patients is challenging due to significant inter-individual variability and rapid physiological changes during maturation.

Authors

  • Minghui Yin
    School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200127, China.
  • Yuelian Jiang
    Department of Pharmacy, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
  • Yawen Yuan
    Department of Pharmacy, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
  • Chensuizi Li
    School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
  • Qian Gao
    Department of Obstetrics, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
  • Hui Lu
    Key Laboratory of the plateau of environmental damage control, Lanzhou General Hospital of Lanzhou Military Command, Lanzhou, China.
  • Zhiling Li
    Department of Pharmacy, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China. lizhiling22@163.com.

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