Evidence map›Paper›PMID 24178237›Full record

ArticleClinical drug investigation2014

Comparison of algorithms for oral busulphan area under the concentration-time curve limited sampling estimate.

Fredrik Sjöö, Ibrahim El-Serafi, Jon Enestig, Jonas Mattsson, Johan Liwing, Moustapha Hassan

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Clinical drug investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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  3. Impact ofPharmaceutics · 2019
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fredrik SjööDepartment of Laboratory Medicine, Experimental Cancer Medicine, Karolinska Institutet Huddinge, Novum, 141 86, Stockholm, Sweden, fredrik.sjoo@capiostgoran.se.
Ibrahim El-Serafi
Jon Enestig
Jonas Mattsson
Johan Liwing
Moustapha Hassan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesTherapeutic drug monitoring (TDM) of the first dose of busulphan during conditioning prior to allogeneic stem cell transplantation provides the possibility of improving the clinical outcome via dose adjustment of subsequent doses. The plasma area under the concentration-time curve (AUC) for busulphan is generally accepted as the parameter that gives the best exposure estimate; however, the sampling frequency needed for reliable AUC calculation remains controversial. The aim of the present investigation was to develop and evaluate a limited sampling model for oral busulphan.

methodsWe have compared models using three to four samples with standard WinNonlin(®) adaptive compartment modeling based on eight samples as reference. The evaluated study population included both adult and pediatric patients, but the linear model was devised using analysis of only pediatric patient plasma concentrations. The present model was developed using data from 23 patients with a mean age of 38 years (range 13-59 years) and was evaluated in 20 pediatric patients with a mean age of 6 years (range 0.1-13 years) as well as 23 adult patients (mean age 43 years; range 18-67 years).

resultsIn 23 patients, the mean AUC from a curve fitting model (Purves method) and a single compartment model had an intraclass correlation coefficient (ICC) of 0.947. From a log-log plot of AUC values it was evident that using this estimate of the AUC would affect dose adjustment decisions for very few of the patients. Applying the linear model using three samples resulted in an ICC of 0.932, mostly due to worse performance in the adult population.

conclusionsThe present results support the use of limited sampling in clinical TDM for oral busulphan provided adequate algorithms and sampling times are used. Moreover, they also demonstrate the caution that is needed when transferring a pharmacokinetic model from a pediatric population to an adult population.

Indexed as

AlgorithmsArea Under CurveDrug Dosage CalculationsAdministration, OralAdolescentAdultAgedBusulfanChildChild, PreschoolDrug MonitoringFemaleHumansImmunosuppressive AgentsInfantLinear ModelsBusulfanImmunosuppressive Agents

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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.