Evidence map›Paper›PMID 28681225›Full record

ArticleClinical pharmacokinetics2018

A Population Pharmacokinetic Model to Predict the Individual Starting Dose of Tacrolimus Following Pediatric Renal Transplantation.

Louise M Andrews, Dennis A Hesselink, Teun van Gelder, Birgit C P Koch, Elisabeth A M Cornelissen, Roger J M Brüggemann, Ron H N van Schaik, Saskia N de Wildt, Karlien Cransberg, Brenda C M de Winter

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Louise M AndrewsDepartment of Hospital Pharmacy, Erasmus Medical Center, University Medical Center Rotterdam, P. O. Box 2040, 3000 CA, Rotterdam, The Netherlands. l.andrews@erasmusmc.nl.ORCID 0000-0001-8271-3685
Dennis A HesselinkDepartment of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Teun van GelderDepartment of Hospital Pharmacy, Erasmus Medical Center, University Medical Center Rotterdam, P. O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Birgit C P KochDepartment of Hospital Pharmacy, Erasmus Medical Center, University Medical Center Rotterdam, P. O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Elisabeth A M CornelissenDepartment of Pediatric Nephrology, Radboud University Medical Centre, Amalia Children's Hospital, Nijmegen, The Netherlands.
Roger J M BrüggemannDepartment of Hospital Pharmacy, Radboud University, Nijmegen, The Netherlands.
Ron H N van SchaikDepartment of Clinical Chemistry, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Saskia N de WildtDepartment of Pharmacology and Toxicology, Radboud University, Nijmegen, The Netherlands.
Karlien CransbergDepartment of Pediatric Nephrology, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, The Netherlands.
Brenda C M de WinterDepartment of Hospital Pharmacy, Erasmus Medical Center, University Medical Center Rotterdam, P. O. Box 2040, 3000 CA, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple clinical, demographic, and genetic factors affect the pharmacokinetics of tacrolimus in children, yet in daily practice, a uniform body-weight based starting dose is used. It can take weeks to reach the target tacrolimus pre-dose concentration.

objectivesThe objectives of this study were to determine the pharmacokinetics of tacrolimus immediately after kidney transplantation and to find relevant parameters for dose individualization using a population pharmacokinetic analysis.

methodsA total of 722 blood samples were collected from 46 children treated with tacrolimus over the first 6 weeks after renal transplantation. Non-linear mixed-effects modeling (NONMEM

resultsThe data were accurately described by a two-compartment model with allometric scaling for bodyweight. Mean tacrolimus apparent clearance was 50.5 L/h, with an inter-patient variability of 25%. Higher bodyweight, lower estimated glomerular filtration rate, and higher hematocrit levels resulted in lower total tacrolimus clearance. Cytochrome P450 3A5 expressers and recipients who received a kidney from a deceased donor had a significantly higher tacrolimus clearance. The model was successfully externally validated. In total, these covariates explained 41% of the variability in clearance. From the significant covariates, the cytochrome P450 3A5 genotype, bodyweight, and donor type were useful to adjust the starting dose to reach the target pre-dose concentration. Dosing guidelines range from 0.27 to 1.33 mg/kg/day.

conclusionDuring the first 6 weeks after transplantation, the tacrolimus weight-normalized starting dose should be higher in pediatric kidney transplant recipients with a lower bodyweight, those who express the cytochrome P450 3A5 genotype, and those who receive a kidney from a deceased donor.

Indexed as

Drug Dosage CalculationsKidney TransplantationModels, BiologicalAdolescentAge FactorsBody WeightChildChild, PreschoolComputer SimulationCytochrome P-450 CYP3ADrug Administration ScheduleFemaleGenotypeGraft RejectionGraft SurvivalHumansCYP3A5 protein, humanCytochrome P-450 CYP3AImmunosuppressive AgentsTacrolimus

Identifiers

PMID28681225
PMCPMC5856873

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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.