Extrapolation of Midazolam Disposition in Neonates Using Physiological‐Based Pharmacokinetic/Pharmacodynamic Modeling

There is a shortage of data in clinical studies of neonatal populations, which often utilize extrapolation strategies and model simulation techniques to support drug development and clinical applications. This study established an adult physiological-based pharmacokinetic/pharmacodynamic (PBPK/PD) model in the modeling software and extended it to neonates using pediatric extrapolation strategies based on maturation formulas for plasma albumin and CYP3A4/5. The neonatal model was then utilized to simulate midazolam dosage regimens for sedation in newborns. Individualized validation for adults indicated that 95.1% of predicted concentration values and all area under curve (AUC) values fell within a 2-fold range. The extrapolated neonatal model showed 84.4% of predicted concentrations within 2-fold, an absolute average fold error (AAFE) valuen <2, and an average fold error (AFE) value between 0.5 and 1.5, confirming the model's adequacy. The validated neonatal PBPK/PD model indicated that virtual term neonates maintained the target plasma concentration for 25 hours with the recommended dosage (0.06 mg/kg/h, intravenous infusion 12 hours). Premature infants may require a slightly higher dose than the label's recommendation (0.03 mg/kg/h, intravenous infusion 12 hours). Our findings recommend this research strategy based on extrapolation and model simulation for drug dose prediction and optimization in the neonatal population.

Authors

Institutions

Publication Details

Journal
Clinical Pharmacology in Drug Development
Published
2025-04-24
DOI
https://doi.org/10.1002/cpdd.1531
Citations
1
Primary Topic
Pharmaceutical studies and practices
Type
article
Field-Weighted Citation Impact
3.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extrapolation of Midazolam Disposition in Neonates Using Physiological‐Based Pharmacokinetic/Pharmacodynamic Modeling

Jinying Zhu, Lu Wang, Tongtong Li, Feng Shao et al.
1 citations
Clinical Pharmacology in Drug Development
Pharmaceutical studies and practices
3.49
article

Extrapolation of Midazolam Disposition in Neonates Using Physiological‐Based Pharmacokinetic/Pharmacodynamic Modeling

Jinying Zhu, Lu Wang, Tongtong Li, Feng Shao, Sufeng Zhou, Tangping Zhao, Zhanhui Lv
article en
1 citations

Abstract

There is a shortage of data in clinical studies of neonatal populations, which often utilize extrapolation strategies and model simulation techniques to support drug development and clinical applications. This study established an adult physiological-based pharmacokinetic/pharmacodynamic (PBPK/PD) model in the modeling software and extended it to neonates using pediatric extrapolation strategies based on maturation formulas for plasma albumin and CYP3A4/5. The neonatal model was then utilized to simulate midazolam dosage regimens for sedation in newborns. Individualized validation for adults indicated that 95.1% of predicted concentration values and all area under curve (AUC) values fell within a 2-fold range. The extrapolated neonatal model showed 84.4% of predicted concentrations within 2-fold, an absolute average fold error (AAFE) valuen <2, and an average fold error (AFE) value between 0.5 and 1.5, confirming the model's adequacy. The validated neonatal PBPK/PD model indicated that virtual term neonates maintained the target plasma concentration for 25 hours with the recommended dosage (0.06 mg/kg/h, intravenous infusion 12 hours). Premature infants may require a slightly higher dose than the label's recommendation (0.03 mg/kg/h, intravenous infusion 12 hours). Our findings recommend this research strategy based on extrapolation and model simulation for drug dose prediction and optimization in the neonatal population.

Clinical Pharmacology in Drug DevelopmentVol. 14(6)
Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 10%
Pharmaceutical studies and practices
3.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.