Literature DB >> 23018467

Prediction of morphine clearance in the paediatric population : how accurate are the available pharmacokinetic models?

Elke H J Krekels1, Dick Tibboel, Meindert Danhof, Catherijne A J Knibbe.   

Abstract

The pharmacokinetics of morphine in paediatrics have been widely studied using different approaches and modelling techniques. In this review, we explore advantages and disadvantages of the different data analysis techniques that have been applied, with specific focus on the accuracy of morphine clearance predictions by reported paediatric pharmacokinetic models. Twenty paediatric studies reported a wide range in morphine clearance values using traditional, rather descriptive methods. Clearance values were expressed per kilogram bodyweight, while maturation in clearance was described by comparing mean clearance per kilogram bodyweight between age-stratified subgroups. Population modelling allows for the analysis of sparse data, thereby limiting the burden to individual patients. Using this technique, continuous maturation profiles can be obtained on the basis of either fixed allometric scaling or comprehensive covariate analysis. While the models based on fixed allometric scaling resulted in complex maturation functions, all three paediatric population models for morphine yielded quite similar clearance predictions. The largest difference in clearance predictions between these three population models occurred in the first months of life, particularly in preterm neonates. Morphine clearance predictions by a physiologically based pharmacokinetic model were based on many continuous equations describing changes in underlying physiological processes across the full paediatric age range, and resulted in similar clearance predictions as well. However, preterm neonates could not be integrated in this model. In conclusion, the value of paediatric pharmacokinetic models is mostly dependent on clearance predictions and population concentration predictions, rather than on the individual description of data. For most pharmacokinetic models, however, the assessment of model performance was very limited and the accuracy of morphine clearance predictions as well as population concentration predictions was confirmed by formal evaluation and validation procedures for only one model.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23018467     DOI: 10.1007/s40262-012-0006-9

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  58 in total

1.  Allometric exponents do not support a universal metabolic allometry.

Authors:  Craig R White; Phillip Cassey; Tim M Blackburn
Journal:  Ecology       Date:  2007-02       Impact factor: 5.499

2.  Clearance of morphine in postoperative infants during intravenous infusion: the influence of age and surgery.

Authors:  A Lynn; M K Nespeca; S L Bratton; S G Strauss; D D Shen
Journal:  Anesth Analg       Date:  1998-05       Impact factor: 5.108

3.  The maturation of morphine clearance and metabolism.

Authors:  T I McRorie; A M Lynn; M K Nespeca; K E Opheim; J T Slattery
Journal:  Am J Dis Child       Date:  1992-08

4.  Individualized dosing regimens in children based on population PKPD modelling: are we ready for it?

Authors:  Catherijne A J Knibbe; Meindert Danhof
Journal:  Int J Pharm       Date:  2011-03-03       Impact factor: 5.875

5.  Development and evaluation of a generic physiologically based pharmacokinetic model for children.

Authors:  Andrea N Edginton; Walter Schmitt; Stefan Willmann
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

6.  Predictive performance of a recently developed population pharmacokinetic model for morphine and its metabolites in new datasets of (preterm) neonates, infants and children.

Authors:  Elke H J Krekels; Joost DeJongh; Richard A van Lingen; Caroline D van der Marel; Imti Choonara; Anne M Lynn; Meindert Danhof; Dick Tibboel; Catherijne A J Knibbe
Journal:  Clin Pharmacokinet       Date:  2011-01       Impact factor: 6.447

7.  Kinetics and dynamics of postoperative intravenous morphine in children.

Authors:  K T Olkkola; E L Maunuksela; R Korpela; P H Rosenberg
Journal:  Clin Pharmacol Ther       Date:  1988-08       Impact factor: 6.875

8.  Analgesia in children with sickle cell crisis: comparison of intermittent opioids vs. continuous intravenous infusion of morphine and placebo-controlled study of oxygen inhalation.

Authors:  I C Robieux; J D Kellner; M J Coppes; D Shaw; E Brown; C Good; H O'Brodovich; D Manson; N F Olivieri; A Zipursky
Journal:  Pediatr Hematol Oncol       Date:  1992 Oct-Dec       Impact factor: 1.969

9.  Morphine, morphine-6-glucuronide and morphine-3-glucuronide pharmacokinetics in newborn infants receiving diamorphine infusions.

Authors:  D A Barrett; D P Barker; N Rutter; M Pawula; P N Shaw
Journal:  Br J Clin Pharmacol       Date:  1996-06       Impact factor: 4.335

10.  Prediction of drug clearance in children: impact of allometric exponents, body weight, and age.

Authors:  Iftekhar Mahmood
Journal:  Ther Drug Monit       Date:  2007-06       Impact factor: 3.681

View more
  8 in total

1.  Electronic Health Record-Embedded Decision Support Platform for Morphine Precision Dosing in Neonates.

Authors:  Alexander A Vinks; Nieko C Punt; Frank Menke; Eric Kirkendall; Dawn Butler; Thomas J Duggan; DonnaMaria E Cortezzo; Sam Kiger; Tom Dietrich; Paul Spencer; Rob Keefer; Kenneth D R Setchell; Junfang Zhao; Joshua C Euteneuer; Tomoyuki Mizuno; Kevin R Dufendach
Journal:  Clin Pharmacol Ther       Date:  2019-12-11       Impact factor: 6.875

2.  Mechanistic Population Pharmacokinetics of Morphine in Neonates With Abstinence Syndrome After Oral Administration of Diluted Tincture of Opium.

Authors:  Tao Liu; Tamorah Lewis; Estelle Gauda; Jogarao Gobburu; Vijay Ivaturi
Journal:  J Clin Pharmacol       Date:  2016-02-22       Impact factor: 3.126

3.  A Compartmental Analysis for Morphine and Its Metabolites in Young Children After a Single Oral Dose.

Authors:  Nieves Velez de Mendizabal; Ricardo Jimenez-Mendez; Erin Cooke; Carolyne J Montgomery; Joy Dawes; Michael J Rieder; Katarina Aleksa; Gideon Koren; Carlos O Jacobo-Cabral; Rodrigo Gonzalez-Ramirez; Gilberto Castañeda-Hernandez; Bruce C Carleton
Journal:  Clin Pharmacokinet       Date:  2015-10       Impact factor: 6.447

4.  Developmental changes in morphine clearance across the entire paediatric age range are best described by a bodyweight-dependent exponent model.

Authors:  Chenguang Wang; Senthilkumar Sadhavisvam; Elke H J Krekels; Albert Dahan; Dick Tibboel; Meindert Danhof; Alexander A Vinks; Catherijne A J Knibbe
Journal:  Clin Drug Investig       Date:  2013-07       Impact factor: 2.859

5.  Model-Informed Bayesian Estimation Improves the Prediction of Morphine Exposure in Neonates and Infants.

Authors:  Joshua C Euteneuer; Tomoyuki Mizuno; Tsuyoshi Fukuda; Junfang Zhao; Kenneth D R Setchell; Louis J Muglia; Alexander A Vinks
Journal:  Ther Drug Monit       Date:  2020-10       Impact factor: 3.118

Review 6.  A review of perioperative anesthesia and analgesia for infants: updates and trends to watch.

Authors:  Lizabeth D Martin; Nathalia Jimenez; Anne M Lynn
Journal:  F1000Res       Date:  2017-02-08

7.  PBPK Model of Morphine Incorporating Developmental Changes in Hepatic OCT1 and UGT2B7 Proteins to Explain the Variability in Clearances in Neonates and Small Infants.

Authors:  Chie Emoto; Trevor N Johnson; Sibylle Neuhoff; David Hahn; Alexander A Vinks; Tsuyoshi Fukuda
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-06-19

Review 8.  Clinical pharmacology and dosing regimen optimization of neonatal opioid withdrawal syndrome treatments.

Authors:  Fei Tang; Chee M Ng; Henrietta S Bada; Markos Leggas
Journal:  Clin Transl Sci       Date:  2021-05-01       Impact factor: 4.689

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.