TY - JOUR
T1 - Use of physiologically-based pharmacokinetic modeling to inform dosing of the opioid analgesics fentanyl and methadone in children with obesity
AU - Best Pharmaceuticals for Children Act–Pediatric Trials Network Steering Committee
AU - Gerhart, Jacqueline G.
AU - Carreño, Fernando O.
AU - Ford, Jennifer L.
AU - Edginton, Andrea N
AU - Perrin, Eliana M.
AU - Watt, Kevin M.
AU - Muller, William J.
AU - Atz, Andrew M.
AU - Al-Uzri, Amira
AU - Delmore, Paula
AU - Gonzalez, Daniel
AU - Benjamin, Daniel K.
AU - Hornik, Christoph
AU - Zimmerman, Kanecia
AU - Kennel, Phyllis
AU - Beci, Rose
AU - Dang Hornik, Chi
AU - Kearns, Gregory L.
AU - Laughon, Matthew
AU - Paul, Ian M.
AU - Sullivan, Janice
AU - Wade, Kelly
AU - Delmore, Paula
AU - Taylor-Zapata, Perdita
AU - Lee, June
AU - Anand, Ravinder
AU - Sharma, Gaurav
AU - Simone, Gina
AU - Kaneshige, Kim
AU - Taylor, Lawrence
AU - Al-Uzri, Amira
AU - Hornik, Chi
AU - Sokol, Gregory
AU - Speicher, David
AU - Sullivan, Janice
AU - Mourani, Peter
AU - Mendley, Susan
AU - Meyer, Marisa
AU - Atkins, Robert
AU - Flynn, Joseph
AU - Vaughns, Janelle
AU - Sherwin, Catherine
AU - Delmore, Paula
AU - Goldstein, Stuart
AU - Rathore, Mobeen
AU - Melloni, Chiara
AU - Muller, William
AU - Delmore, Paula
AU - Tremoulet, Adriana
AU - James, Laura
N1 - Funding Information:
D.G. receives research support from Nabriva Therapeutics through a contract with the University of North Carolina at Chapel Hill. In addition, D.G. serves as a consultant for Tellus Therapeutics, focusing on neonatal drug development. K.M.W. receives support for pediatric research from the National Institute of Child Health and Human Development (R01HD097775, R21HD104412). All other authors declared no competing interests for this work.
Funding Information:
This research was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) under award 5R01HD096435. The fentanyl and methadone pediatric pharmacokinetic data were collected by the Pediatric Trials Network through NICHD Contract HHSN275201000003I (principal investigator, Daniel K. Benjamin Jr.). J.G.G. received research support from a National Institute of General Medical Sciences funded T32 program (T32GM122741) and through a Fred Eshelman Pre‐Doctoral Fellowship in Pharmaceutical Sciences from the American Foundation for Pharmaceutical Education. F.O.C. was funded through a University of North Carolina at Chapel Hill (UNC)/GlaxoSmithKline (GSK) Pharmacokinetics/Pharmacodynamics Post‐Doctoral Fellowship. D.G. received research support from the NICHD (5R01HD096435‐04 and 1R01HD102949‐01A1). The content is solely the authors' responsibility and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
PY - 2022/6
Y1 - 2022/6
N2 - Obesity is an increasingly alarming public health threat, with nearly 20% of children classified as obese in the United States today. Children with obesity are commonly prescribed the opioids fentanyl and methadone, and accurate dosing is critical to reducing the risk of serious adverse events associated with overexposure. However, pharmacokinetic studies in children with obesity are challenging to conduct, so there is limited information to guide fentanyl and methadone dosing in these children. To address this clinical knowledge gap, physiologically-based pharmacokinetic models of fentanyl and methadone were developed in adults and scaled to children with and without obesity to explore the interplay of obesity, age, and pharmacogenomics. These models included key obesity-induced changes in physiology and pharmacogenomic effects. Model predictions captured observed concentrations in children with obesity well, with an overall average fold error of 0.72 and 1.08 for fentanyl and methadone, respectively. Model simulations support a reduced fentanyl dose (1 vs. 2 μg/kg/h) starting at an earlier age (6 years) in virtual children with obesity, highlighting the importance of considering both age and obesity status when selecting an infusion rate most likely to achieve steady-state concentrations within the target range. Methadone dosing simulations highlight the importance of considering genotype in addition to obesity status when possible, as cytochrome P450 (CYP)2B6*6/*6 virtual children with obesity required half the dose to match the exposure of wildtype children without obesity. This physiologically-based pharmacokinetic modeling approach can be applied to explore dosing of other critical drugs in children with obesity.
AB - Obesity is an increasingly alarming public health threat, with nearly 20% of children classified as obese in the United States today. Children with obesity are commonly prescribed the opioids fentanyl and methadone, and accurate dosing is critical to reducing the risk of serious adverse events associated with overexposure. However, pharmacokinetic studies in children with obesity are challenging to conduct, so there is limited information to guide fentanyl and methadone dosing in these children. To address this clinical knowledge gap, physiologically-based pharmacokinetic models of fentanyl and methadone were developed in adults and scaled to children with and without obesity to explore the interplay of obesity, age, and pharmacogenomics. These models included key obesity-induced changes in physiology and pharmacogenomic effects. Model predictions captured observed concentrations in children with obesity well, with an overall average fold error of 0.72 and 1.08 for fentanyl and methadone, respectively. Model simulations support a reduced fentanyl dose (1 vs. 2 μg/kg/h) starting at an earlier age (6 years) in virtual children with obesity, highlighting the importance of considering both age and obesity status when selecting an infusion rate most likely to achieve steady-state concentrations within the target range. Methadone dosing simulations highlight the importance of considering genotype in addition to obesity status when possible, as cytochrome P450 (CYP)2B6*6/*6 virtual children with obesity required half the dose to match the exposure of wildtype children without obesity. This physiologically-based pharmacokinetic modeling approach can be applied to explore dosing of other critical drugs in children with obesity.
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U2 - 10.1002/psp4.12793
DO - 10.1002/psp4.12793
M3 - Article
C2 - 35491971
AN - SCOPUS:85131631125
SN - 2163-8306
VL - 11
SP - 778
EP - 791
JO - CPT: Pharmacometrics and Systems Pharmacology
JF - CPT: Pharmacometrics and Systems Pharmacology
IS - 6
ER -