Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study.

Journal: Journal of medical Internet research
PMID: 40163845

Abstract

BACKGROUND: Vancomycin is commonly dosed using standard weight-based methods before dose adjustments are made through therapeutic drug monitoring (TDM). However, variability in initial dosing can lead to suboptimal therapeutic outcomes. A predictive model that personalizes initial dosing based on patient-specific pharmacokinetic factors prior to administration may enhance target attainment and minimize the need for subsequent dose adjustments.

Authors

  • Heonyi Lee
    Interdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea.
  • Yi-Jun Kim
    Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, South Korea.
  • Jin-Hong Kim
    Department of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea.
  • Soo-Kyung Kim
    Department of Laboratory Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
  • Tae-Dong Jeong
    Department of Laboratory Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.

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