{"title":"From PICU to NICU: Extrapolating Meropenem Exposure From Pediatric to Neonatal Intensive Care Patients.","authors":"Ronaldo Morales Junior, Tomoyuki Mizuno, Wen Rui Tan, Kei Irie, Sonya Tang Girdwood","doi":"10.1002/jcph.70097","DOIUrl":null,"url":null,"abstract":"<p><p>We previously developed a population pharmacokinetic (PopPK) model for meropenem in pediatric intensive care unit patients accounting for effect of body size, maturation, and kidney function on clearance. This study aimed to extrapolate meropenem exposure to neonates and young infants using the pediatric PopPK model and to validate the predictions using external data. An independent dataset was obtained from the regulations.gov website, which included 176 neonates and young infants (up to 3 months old) with a total of 767 plasma meropenem concentrations. After normalizing the estimated glomerular filtration rate (eGFR) using a maturation factor, the PopPK model was applied to this dataset and the concordance between the model predictions and observed concentrations was visually assessed using goodness-of-fit (GOF) plots and prediction-corrected visual predictive check. Median prediction error (MDPE) evaluated bias and median absolute prediction error (MDAPE) evaluated precision of the predictions. GOF plots indicated no apparent bias or model misspecification. Individual-level predictions showed an MDPE of 1% and an MDAPE of 18.3%, both within commonly accepted thresholds for bias (<±20%-30%) and precision (<30%-35%), respectively. The findings support the model's application for simulations when neonatal eGFR is normalized using a maturation factor and for model-informed precision dosing in clinical practice for neonates and infants.</p>","PeriodicalId":48908,"journal":{"name":"Journal of Clinical Pharmacology","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12419554/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jcph.70097","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We previously developed a population pharmacokinetic (PopPK) model for meropenem in pediatric intensive care unit patients accounting for effect of body size, maturation, and kidney function on clearance. This study aimed to extrapolate meropenem exposure to neonates and young infants using the pediatric PopPK model and to validate the predictions using external data. An independent dataset was obtained from the regulations.gov website, which included 176 neonates and young infants (up to 3 months old) with a total of 767 plasma meropenem concentrations. After normalizing the estimated glomerular filtration rate (eGFR) using a maturation factor, the PopPK model was applied to this dataset and the concordance between the model predictions and observed concentrations was visually assessed using goodness-of-fit (GOF) plots and prediction-corrected visual predictive check. Median prediction error (MDPE) evaluated bias and median absolute prediction error (MDAPE) evaluated precision of the predictions. GOF plots indicated no apparent bias or model misspecification. Individual-level predictions showed an MDPE of 1% and an MDAPE of 18.3%, both within commonly accepted thresholds for bias (<±20%-30%) and precision (<30%-35%), respectively. The findings support the model's application for simulations when neonatal eGFR is normalized using a maturation factor and for model-informed precision dosing in clinical practice for neonates and infants.
期刊介绍:
The Journal of Clinical Pharmacology (JCP) is a Human Pharmacology journal designed to provide physicians, pharmacists, research scientists, regulatory scientists, drug developers and academic colleagues a forum to present research in all aspects of Clinical Pharmacology. This includes original research in pharmacokinetics, pharmacogenetics/pharmacogenomics, pharmacometrics, physiologic based pharmacokinetic modeling, drug interactions, therapeutic drug monitoring, regulatory sciences (including unique methods of data analysis), special population studies, drug development, pharmacovigilance, womens’ health, pediatric pharmacology, and pharmacodynamics. Additionally, JCP publishes review articles, commentaries and educational manuscripts. The Journal also serves as an instrument to disseminate Public Policy statements from the American College of Clinical Pharmacology.