Abstract
Objectives
The aims of this study were to develop a population pharmacokinetic model for intravenous paracetamol in preterm and term neonates and to assess the generalizability of the model by testing its predictive performance in an external dataset.
Methods
Nonlinear mixed-effects models were constructed from paracetamol concentration–time data in NONMEM 7.2. Potential covariates included body weight, gestational age, postnatal age, postmenstrual age, sex, race, total bilirubin, and estimated glomerular filtration rate. An external dataset was used to test the predictive performance of the model through calculation of bias, precision, and normalized prediction distribution errors.
Results
The model-building dataset included 260 observations from 35 neonates with a mean gestational age of 33.6 weeks [standard deviation (SD) 6.6]. Data were well-described by a one-compartment model with first-order elimination. Weight predicted paracetamol clearance and volume of distribution, which were estimated as 0.348 L/h (5.5 % relative standard error; 30.8 % coefficient of variation) and 2.46 L (3.5 % relative standard error; 14.3 % coefficient of variation), respectively, at the mean subject weight of 2.30 kg. An external evaluation was performed on an independent dataset that included 436 observations from 60 neonates with a mean gestational age of 35.6 weeks (SD 4.3). The median prediction error was 10.1 % [95 % confidence interval (CI) 6.1–14.3] and the median absolute prediction error was 25.3 % (95 % CI 23.1–28.1).
Conclusions
Weight predicted intravenous paracetamol pharmacokinetics in neonates ranging from extreme preterm to full-term gestational status. External evaluation suggested that these findings should be generalizable to other similar patient populations.
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Acknowledgments
The authors would like to thank Syamala Mankala of the Division of Clinical Pharmacology at the Children’s National Health System (Washington, DC, USA) for administrative support.
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Funding
This work was supported by National Institutes of Health grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD060543, to John N. van den Anker) and the National Center for Advancing Translational Sciences (UL1TR000075, to the Children’s National Health System), and by a contract for analytical laboratory services from McNeil Consumer Healthcare (Division of McNEIL-PPC, Inc., Fort Washington, PA, USA, to Diana G. Wilkins). Karel Allegaert was supported by a Fundamental Clinical Investigatorship (1800214N) from the Fund for Scientific Research—Flanders (FWO-Vlaanderen, Belgium). Sarah F. Cook received stipend support from the Howard Hughes Medical Institute (Med into Grad Initiative); Sarah F. Cook and Chris Stockmann were supported by pre-doctoral fellowships from the American Foundation for Pharmaceutical Education; and Jessica K. Roberts was supported by a Pharmacotherapy Subspecialty Award from the Primary Children’s Hospital Foundation (Salt Lake City, UT, USA).
Conflicts of interest
Sarah Cook, Jessica Roberts, Samira Samiee-Zafarghandy, Chris Stockmann, Amber King, Nina Deutsch, Elaine Williams, Karel Allegaert, Diana Wilkins, Catherine Sherwin, and John van den Anker have no potential conflicts of interest to declare.
Ethical approval
All human studies were approved by the appropriate Ethics Committees and were carried out in concordance with ICH Guidelines for Good Clinical Practice [19]. Informed consent was obtained prior to study inclusion.
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Cook, S.F., Roberts, J.K., Samiee-Zafarghandy, S. et al. Population Pharmacokinetics of Intravenous Paracetamol (Acetaminophen) in Preterm and Term Neonates: Model Development and External Evaluation. Clin Pharmacokinet 55, 107–119 (2016). https://doi.org/10.1007/s40262-015-0301-3
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DOI: https://doi.org/10.1007/s40262-015-0301-3