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Population pharmacokinetics of ketamine in children with heart disease.

Abstract
This study aims at developing a population pharmacokinetic model for ketamine in children with cardiac diseases in order to rationalize an effective 2-h anesthetic medication, personalized based on cardiac function and age. Twenty-one children (6 months to 18 years old) were enrolled in this prospective, open label study. Ketamine 2mg/kg IV was administered and blood samples were then collected over 8h for ketamine assay. Pharmacokinetic data analysis using NONMEM, was undertaken. Ketamine pharmacokinetics was adequately described by a two-compartment linear disposition model. Typical population parameters were: total clearance: 60.6 ×(weight/70)(0.75)L/h, intercompartmental clearance: 73.2 ×(weight/70)(0.75)L/h, central distribution volume: 57.3 ×(weight/70)L, and peripheral distribution volume: 152 ×(weight/70)L. Ketamine clearance in children with pre-existing congenital heart disease was comparable to values reported in healthy subjects. Computer simulations indicated that an initial loading dose of ketamine 2mg/kg IV over 1 min followed by a constant rate infusion of 6.3mg/kg/h for 29 min, 4.5mg/kg/h from 30 to 80 min, and 3.9 mg/kg/h from 80 to 120 min achieves and maintains anesthetic plasma level for 2h in children 1 year or older (weight ≥ 10 kg).
AuthorsMohammed H Elkomy, David R Drover, Gregory B Hammer, Jeffery L Galinkin, Chandra Ramamoorthy
JournalInternational journal of pharmaceutics (Int J Pharm) Vol. 478 Issue 1 Pg. 223-231 (Jan 15 2015) ISSN: 1873-3476 [Electronic] Netherlands
PMID25448584 (Publication Type: Clinical Trial, Journal Article, Research Support, Non-U.S. Gov't)
CopyrightCopyright © 2014. Published by Elsevier B.V.
Chemical References
  • Anesthetics, Dissociative
  • Ketamine
Topics
  • Adolescent
  • Anesthetics, Dissociative (blood, pharmacokinetics)
  • Child
  • Child, Preschool
  • Female
  • Heart Diseases (blood, metabolism)
  • Humans
  • Infant
  • Ketamine (blood, pharmacokinetics)
  • Male
  • Models, Biological

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