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Prediction of vancomycin exposure in patients with central nervous system infections using physiologically based pharmacokinetic modeling | Synapse
March 3, 2026
Prediction of vancomycin exposure in patients with central nervous system infections using physiologically based pharmacokinetic modeling
YL
Yi Liu
Harbin University of Science and Technology
YK
Yun Kuang
JL
Jinyi Liu
Central South University
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Key Points
Accurate prediction of vancomycin exposure enhances treatment outcomes.
Physiologically based pharmacokinetic modeling shows strong potential for personalized medicine in this context.
This study utilizes a simulation approach with relevant pharmacokinetic parameters to construct models.
Improved dosing regimens could lead to better management of central nervous system infections.
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Cite This Study
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Liu et al. (Thu,) studied this question.
synapsesocial.com/papers/69a76718badf0bb9e87df94f
https://doi.org/https://doi.org/10.1016/j.xphs.2026.104192