Evidence map›Paper›PMID 24977292›Full record

ArticleBritish journal of clinical pharmacology2014

Population pharmacokinetics and Bayesian estimation of tacrolimus exposure in paediatric liver transplant recipients.

Nastya Kassir, Line Labbé, Jean-Romain Delaloye, Mohamad-Samer Mouksassi, Anne-Laure Lapeyraque, Fernando Alvarez, Michel Lallier, Mona Beaunoyer, Yves Théorêt, Catherine Litalien

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Article in British journal of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

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14citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Nastya Kassir
Line Labbé
Jean-Romain Delaloye
Mohamad-Samer Mouksassi
Anne-Laure Lapeyraque
Fernando Alvarez
Michel Lallier
Mona Beaunoyer
Yves Théorêt
Catherine Litalien

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe objectives of this study were to develop a population pharmacokinetic (PopPK) model for tacrolimus in paediatric liver transplant patients and determine optimal sampling strategies to estimate tacrolimus exposure accurately.

methodsTwelve hour intensive pharmacokinetic profiles from 30 patients (age 0.4-18.4 years) receiving tacrolimus orally were analysed. The PopPK model explored the following covariates: weight, age, sex, type of transplant, age of liver donor, liver function tests, albumin, haematocrit, drug interactions, drug formulation and time post-transplantation. Optimal sampling strategies were developed and validated with jackknife.

resultsA two-compartment model with first-order absorption and elimination and lag time described the data. Weight was included on all pharmacokinetic parameters. Typical apparent clearance and central volume of distribution were 12.1 l h(-1) and 31.3 l, respectively. The PopPK approach led to the development of optimal sampling strategies, which allowed estimation of tacrolimus pharmacokinetics and area under the concentration–time curve (AUC) on the basis of practical sampling schedules (three or four sampling times within 4 h) with clinically acceptable prediction error limit. The mean bias and precision of the Bayesian vs. reference (trapezoidal) AUCs ranged from -2.8 to -1.9% and from 7.4 to 12.5%, respectively.

conclusionsThe PopPK of tacrolimus and empirical Bayesian estimates represent an accurate and convenient method to predict tacrolimus AUC(0-12) in paediatric liver transplant recipients, despite high between-subject variability in pharmacokinetics and patient demographics. The developed optimal sampling strategies will allow the undertaking of prospective trials to define the tacrolimus AUC-based therapeutic window and dosing guidelines in this population.

Indexed as

Liver TransplantationAdolescentBayes TheoremChildChild, PreschoolCytochrome P-450 CYP3AFemaleHumansImmunosuppressive AgentsInfantMaleModels, BiologicalRetrospective StudiesTacrolimusCYP3A5 protein, humanCytochrome P-450 CYP3AImmunosuppressive AgentsTacrolimus

Identifiers

PMID24977292
PMCPMC4093930

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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.