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Physiologically Based and Population Pharmacokinetic Modeling of Midazolam in Children With Obesity Using Real-World Data.

Publication ,  Journal Article
McCann, S; Helfer, VE; Balevic, SJ; Muller, WJ; van den Anker, JN; Al-Uzri, A; Meyer, ML; Anderson, SG; Turdalieva, S; Edginton, AN ...
Published in: Clin Transl Sci
May 2025

Children represent a highly complex and variable population for treatment, including interindividual differences in drug dose-exposure. Midazolam has been used as a sedative for hospitalized children on- and off-label; however, factors affecting interindividual variability (IIV) in observed clearance for this population are not fully understood and can result in extreme under- or overexposure. Obesity has been described as a significant influence on midazolam in adolescents, which could potentially alter drug exposure. The goal of this study was to use two modeling strategies to evaluate dose-exposure of midazolam in children with and without obesity. Population pharmacokinetic modeling assessed whether measures of obesity status would explain some of the observed IIV for midazolam clearance. In all, 164 plasma concentrations were collected from 93 participating children, many with obesity. Covariate modeling did not identify any factors influential to clearance beyond body weight. Model IIV was similar to that observed in previous models of critically ill children (coefficient of variation, 175%) along with considerable residual unexplained variability (50.4%). Then, a previously published virtual population of children with obesity was incorporated into an existing physiologically based pharmacokinetic model of midazolam in the open-source PK-Sim software. Dosing simulations for a subset of 46 participants demonstrated minor overpredictions in children with obesity compared to those without. Both models predicted a minor (< 20%) increase in exposure for children with obesity given the same weight-based dose. This research demonstrates the use of population pharmacokinetics combined with physiologically based pharmacokinetic modeling to compare simulated exposures in children with and without obesity.

Duke Scholars

Published In

Clin Transl Sci

DOI

EISSN

1752-8062

Publication Date

May 2025

Volume

18

Issue

5

Start / End Page

e70247

Location

United States

Related Subject Headings

  • Pediatric Obesity
  • Models, Biological
  • Midazolam
  • Male
  • Hypnotics and Sedatives
  • Humans
  • General Clinical Medicine
  • Female
  • Dose-Response Relationship, Drug
  • Computer Simulation
 

Citation

APA
Chicago
ICMJE
MLA
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McCann, S., Helfer, V. E., Balevic, S. J., Muller, W. J., van den Anker, J. N., Al-Uzri, A., … Best Pharmaceuticals for Children Act Pediatric Trials Network Steering Committee. (2025). Physiologically Based and Population Pharmacokinetic Modeling of Midazolam in Children With Obesity Using Real-World Data. Clin Transl Sci, 18(5), e70247. https://doi.org/10.1111/cts.70247
McCann, Sean, Victória E. Helfer, Stephen J. Balevic, William J. Muller, John N. van den Anker, Amira Al-Uzri, Marisa L. Meyer, et al. “Physiologically Based and Population Pharmacokinetic Modeling of Midazolam in Children With Obesity Using Real-World Data.Clin Transl Sci 18, no. 5 (May 2025): e70247. https://doi.org/10.1111/cts.70247.
McCann S, Helfer VE, Balevic SJ, Muller WJ, van den Anker JN, Al-Uzri A, et al. Physiologically Based and Population Pharmacokinetic Modeling of Midazolam in Children With Obesity Using Real-World Data. Clin Transl Sci. 2025 May;18(5):e70247.
McCann, Sean, et al. “Physiologically Based and Population Pharmacokinetic Modeling of Midazolam in Children With Obesity Using Real-World Data.Clin Transl Sci, vol. 18, no. 5, May 2025, p. e70247. Pubmed, doi:10.1111/cts.70247.
McCann S, Helfer VE, Balevic SJ, Muller WJ, van den Anker JN, Al-Uzri A, Meyer ML, Anderson SG, Turdalieva S, Edginton AN, Gonzalez D, Best Pharmaceuticals for Children Act Pediatric Trials Network Steering Committee. Physiologically Based and Population Pharmacokinetic Modeling of Midazolam in Children With Obesity Using Real-World Data. Clin Transl Sci. 2025 May;18(5):e70247.
Journal cover image

Published In

Clin Transl Sci

DOI

EISSN

1752-8062

Publication Date

May 2025

Volume

18

Issue

5

Start / End Page

e70247

Location

United States

Related Subject Headings

  • Pediatric Obesity
  • Models, Biological
  • Midazolam
  • Male
  • Hypnotics and Sedatives
  • Humans
  • General Clinical Medicine
  • Female
  • Dose-Response Relationship, Drug
  • Computer Simulation