2022
DOI: 10.1111/bcp.15589
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Foetal and neonatal exposure prediction and dosing evaluation for ampicillin using a physiologically‐based pharmacokinetic modelling approach

Abstract: Aims: Ampicillin is frequently used in neonates for the treatment of sepsis and as an intrapartum prophylaxis option for Group B Streptococcus. Pharmacokinetic data to guide ampicillin dosing in neonates and during the intrapartum period are limited.The objective of this study was to build a physiologically-based pharmacokinetic (PBPK) model to characterize the disposition of ampicillin in neonates and foetuses and to inform corresponding optimal dosing regimens.Methods: An adult ampicillin PBPK model was firs… Show more

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Cited by 7 publications
(5 citation statements)
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“…Ampicillin is a beta-lactam antibiotic frequently used to treat early and late-onset neonatal sepsis [ 248 , 249 ]. Li and Xie developed a PBPK model of ampicillin in neonates and pregnant women during the intrapartum period and indicated that 50 mg/kg ampicillin q8h was effective and safe for newborns, and that 1 g of ampicillin was adequate for intrapartum prophylaxis [ 188 ].…”
Section: Resultsmentioning
confidence: 99%
“…Ampicillin is a beta-lactam antibiotic frequently used to treat early and late-onset neonatal sepsis [ 248 , 249 ]. Li and Xie developed a PBPK model of ampicillin in neonates and pregnant women during the intrapartum period and indicated that 50 mg/kg ampicillin q8h was effective and safe for newborns, and that 1 g of ampicillin was adequate for intrapartum prophylaxis [ 188 ].…”
Section: Resultsmentioning
confidence: 99%
“…described the application of PBPK modeling to pregnant populations to either predict drug disposition in the pregnant mother or to evaluate the fetal exposure and potential toxicokinetics of the therapeutic agents in the fetus (Table 2). The majority (n=5) of the pregnancy PBPK models were constructed using Simcyp simulator Bukkems et al, 2022;Peng et al, 2022;Li and Xie, 2023), but other software packages such as R (n=2, (Chang et al, 2022;Kapraun et al, 2022)), PK-Sim (n=2, (Alsmadi, 2023;Liu et al, 2023))…”
Section: Model Development Applications and Verificationmentioning
confidence: 99%
“…Four studies stated that model performance was evaluated based on visual comparison of predicted and observed data Chang et al, 2022;Alsmadi, 2023;Liu et al, 2023), while one study assessed the correlation between predicted and observed data (Kapraun et al, 2022). Two studies used the 90% predictive interval as the range that observed data needed to be within (Alsmadi, 2023;Li and Xie, 2023) and one specified a visual comparison of the observed mean plasma concentration-time curve and the predicted 5-95 th percentile (Coppola et al, 2022). Two of the papers Peng et al, 2022) specifically noted that the observed plasma concentration-time curve had to be within the 5 th and 95 th percentile of the simulated.…”
Section: Model Development Applications and Verificationmentioning
confidence: 99%
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