Evidence map›Paper›PMID 21142267›Full record

ArticleClinical pharmacokinetics2011

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

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

Abstract readMulticenter Study
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Article in Clinical pharmacokinetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Elke H J KrekelsDivision of Pharmacology, LeidenAmsterdam Center for Drug Research, Leiden, The Netherlands.
Joost DeJongh
Richard A van Lingen
Caroline D van der Marel
Imti Choonara
Anne M Lynn
Meindert Danhof
Dick Tibboel
Catherijne A J Knibbe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveModel validation procedures are crucial when models are to be used to develop new dosing algorithms. In this study, the predictive performance of a previously published paediatric population pharmacokinetic model for morphine and its metabolites in children younger than 3 years (original model) is studied in new datasets that were not used to develop the original model.

methodsSix external datasets including neonates and infants up to 1 year were obtained from four different research centres. These datasets contained postoperative patients, ventilated patients and patients on extracorporeal membrane oxygenation (ECMO) treatment. Basic observed versus predicted plots, normalized prediction distribution error analysis, model refitting, bootstrap analysis, subpopulation analysis and a literature comparison of clearance predictions were performed with the new datasets to evaluate the predictive performance of the original morphine pharmacokinetic model.

resultsThe original model was found to be stable and the parameter estimates were found to be precise. The concentrations predicted by the original model were in good agreement with the observed concentrations in the four datasets from postoperative and ventilated patients, and the model-predicted clearances in these datasets were in agreement with literature values. In the datasets from patients on ECMO treatment with continuous venovenous haemofiltration (CVVH) the predictive performance of the model was good as well, whereas underprediction occurred, particularly for the metabolites, in patients on ECMO treatment without CVVH.

conclusionThe predictive value of the original morphine pharmacokinetic model is demonstrated in new datasets by the use of six different validation and evaluation tools. It is herewith justified to undertake a proof-of-principle approach in the development of rational dosing recommendations - namely, performing a prospective clinical trial in which the model-based dosing algorithm is clinically evaluated.

Indexed as

Models, BiologicalHumansInfantInfant, NewbornInfant, PrematureMetabolic Clearance RateMorphineMorphine DerivativesReproducibility of ResultsMorphinemorphine-3-glucuronidemorphine-6-glucuronideMorphine Derivatives

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.