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Population Pharmacokinetics and Dosing Simulations of Ceftazidime in Chinese Neonates
Authors:Honghong Wang  Xingang Li  Shusen Sun  Guifu Mao  Ping Xiao  Chan Fu  Zhuoxin Liang  Min Zheng  Yuling Huang  Haihong Tang  Renhao Ou  Ni Yang  Xi Ling  Zhigang Zhao
Affiliation:1. Department of Pharmacy, Liuzhou Maternity and Child Care Hospital, Guangxi, China;2. Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China;3. Precision Medicine Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China;4. College of Pharmacy and Health Sciences, Western New England University, Springfield, Massachusetts 01119;5. Department of Pharmacy, Liuzhou Traditional Chinese Medical Hospital, Guangxi, China;6. Department of Neonatology, Liuzhou Maternity and Child Care Hospital, Guangxi, China;7. Department of Critical Care Medicine, Liuzhou Maternity and Child Care Hospital, Guangxi, China;8. Department of Pediatric, Liuzhou Maternity and Child Care Hospital, Guangxi, China
Abstract:
An accurate dosage determination is required in neonates when antibiotics are used. The adult data cannot be simply extrapolated to the pediatric population due to significant individual differences. We aimed to identify factors impacting ceftazidime exposure in neonates and to provide drug dosing guidance to clinicians. Forty-three neonates aged less than 60 days with proven or suspected infections were enrolled in this study. After intravenous administration, blood samples were collected, and plasma ceftazidime concentration was determined using a HPLC method. Pharmacokinetic data were fitted using a nonlinear mixed-effects model approach. One-compartmental model could nicely characterize the ceftazidime in vivo behavior. The covariate test found that the postmenstrual age (day) was strongly associated with systemic drug clearance (L/h), and the effect of body weight (kg) was identified as the covariate on distribution volume (L). Compared with the base model, the addition of covariates improved the goodness-of-fit of the final model. Model validation (bootstrap, visual predictive check, and prediction-corrected visual predictive check) suggested a robust and reliable pharmacokinetic model was developed. Personalized dosage regimens were provided based on model simulations. The intravenous dose should be adjusted according to postmenstrual age, body weight, and minimum inhibitory concentration.
Keywords:ceftazidime  population pharmacokinetics  neonates  postmenstrual age  modeling and simulation
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