Literature DB >> 11136292

Population pharmacokinetics of tacrolimus in Asian paediatric liver transplant patients.

W J Sam1, M Aw, S H Quak, S M Lim, B G Charles, S Y Chan, P C Ho.   

Abstract

AIMS: The purpose of this study was to describe the population pharmacokinetics of intravenous and oral tacrolimus (FK506) in 20 Asian paediatric patients, aged 1-14 years, following liver transplantation and to identify possible relationships between clinical covariates and population parameter estimates.
METHODS: Details of drug dosage histories, sampling times and concentrations were collected retrospectively from routine therapeutic drug monitoring data accumulated for at least 4 days after surgery. Before analysis, patients were randomly allocated to either the population data set (n = 16) or a validation data set (n = 4). The population data set was comprised of 771 concentration measurements of patients admitted over the last 3 years. Population modelling using the nonlinear mixed-effects model (NONMEM) program was performed on the population data set, using a one-compartment model with first-order absorption and elimination. Population average parameter estimates of clearance (CL), volume of distribution (V) and oral bioavailability (F) were sought; a number of clinical and demographic variables were tested for their influence on these parameters.
RESULTS: The final optimal population models related clearance to age, volume of distribution to body surface area and bioavailability to body weight and total bilirubin concentration. Predictive performance of this model evaluated using the validation data set, which comprised 86 concentrations, showed insignificant bias between observed and model-predicted blood tacrolimus concentrations. A final analysis performed in all 20 patients identified the following relationships: CL (l h-1) = 1.46 *[1 + 0. 339 * (AGE (years) -2.25)]; V (l) = 39.1 *[1 + 4.57 * (BSA (m2)-0. 49)]; F = 0.197 *[1 + 0.0887 * (WT (kg) -11.4)] and F = 0.197 *[1 + 0.0887 * (WT (kg) -11.4)] * [1.61], if the total bilirubin > or = 200 micromol l-1. The interpatient variabilities (CV%) in CL, V and F were 33.5%, 33.0% and 24.1%, respectively. The intrapatient variability (s.d.) among observed and model-predicted blood concentrations was 5.79 ng ml-1.
CONCLUSIONS: In this study, the estimates of the pharmacokinetic parameters of tacrolimus agreed with those obtained from conventional pharmacokinetic studies. It also identified significant relationships in Asian paediatric liver transplant patients between the pharmacokinetics of tacrolimus and developmental characteristics of the patients.

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Year:  2000        PMID: 11136292      PMCID: PMC2015016          DOI: 10.1046/j.1365-2125.2000.00288.x

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  22 in total

1.  Comparative study of cyclosporine and FK 506 dosage requirements in adult and pediatric orthotopic liver transplant patients.

Authors:  A B Jain; J J Fung; A G Tzakis; R Venkataramanan; K Abu-Elmagd; M Alessiani; J Reyes; W Irish; V Warty; S Mehta
Journal:  Transplant Proc       Date:  1991-12       Impact factor: 1.066

2.  Pharmacokinetics of FK506 in liver transplant recipients after continuous intravenous infusion.

Authors:  A B Jain; K Abu-Elmagd; H Abdallah; V Warty; J Fung; S Todo; T E Starzl; R Venkataramanan
Journal:  J Clin Pharmacol       Date:  1993-07       Impact factor: 3.126

Review 3.  Pharmacokinetic studies in paediatric patients. Clinical and ethical considerations.

Authors:  R E Kauffman; G L Kearns
Journal:  Clin Pharmacokinet       Date:  1992-07       Impact factor: 6.447

4.  Differences in oral FK506 dose requirements between adult and pediatric liver transplant patients.

Authors:  S V McDiarmid; J O Colonna; A Shaked; J Vargas; M E Ament; R W Busuttil
Journal:  Transplantation       Date:  1993-06       Impact factor: 4.939

5.  FK506 trough levels in whole blood and plasma in liver transplant recipients. Correlation with clinical events and side effects.

Authors:  L Bäckman; M Nicar; M Levy; D Distant; C Eisenstein; T Renard; R Goldstein; B Husberg; T A Gonwa; G Klintmalm
Journal:  Transplantation       Date:  1994-02-27       Impact factor: 4.939

Review 6.  Clinical pharmacokinetics of tacrolimus.

Authors:  R Venkataramanan; A Swaminathan; T Prasad; A Jain; S Zuckerman; V Warty; J McMichael; J Lever; G Burckart; T Starzl
Journal:  Clin Pharmacokinet       Date:  1995-12       Impact factor: 6.447

7.  The evolution of immunosuppression with FK506 in pediatric living-related liver transplantation.

Authors:  Y Inomata; K Tanaka; H Egawa; S Uemoto; N Ozaki; H Okajima; K Satomura; T Kiuchi; Y Yamaoka; T Hashida
Journal:  Transplantation       Date:  1996-01-27       Impact factor: 4.939

8.  Pharmacokinetics of tacrolimus in liver transplant patients.

Authors:  W J Jusko; W Piekoszewski; G B Klintmalm; M S Shaefer; M F Hebert; A A Piergies; C C Lee; P Schechter; Q A Mekki
Journal:  Clin Pharmacol Ther       Date:  1995-03       Impact factor: 6.875

9.  Pharmacokinetics and pharmacodynamics of FK 506 in pediatric patients receiving living-related donor liver transplantations.

Authors:  M Yasuhara; T Hashida; M Toraguchi; Y Hashimoto; M Kimura; K Inui; R Hori; Y Inomata; K Tanaka; Y Yamaoka
Journal:  Transplant Proc       Date:  1995-02       Impact factor: 1.066

10.  Factors affecting the pharmacokinetics of tacrolimus in the first year after renal transplantation. European Tacrolimus Multicentre Renal Study Group.

Authors:  N A Undre; A Schäfer
Journal:  Transplant Proc       Date:  1998-06       Impact factor: 1.066

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  15 in total

1.  Population pharmacokinetics of tacrolimus in whole blood and plasma in asian liver transplant patients.

Authors:  Wai Johnn Sam; Lai San Tham; Michael J Holmes; Marion Aw; Seng Hock Quak; Kang Hoe Lee; Seng Gee Lim; Krishnan Prabhakaran; Sui Yung Chan; Paul C Ho
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

2.  Dosage Optimization Based on Population Pharmacokinetic Analysis of Tacrolimus in Chinese Patients with Nephrotic Syndrome.

Authors:  Tong Lu; Xu Zhu; Shansen Xu; Mingming Zhao; Xueshi Huang; Zhanyou Wang; Limei Zhao
Journal:  Pharm Res       Date:  2019-02-04       Impact factor: 4.200

3.  Prediction tacrolimus blood levels based on the Bayesian method in adult kidney transplant patients.

Authors:  Marie Antignac; Christine Fernandez; Benoît Barrou; Mariona Roca; Jean-Louis Favrat; Saïk Urien; Robert Farinotti
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-02-24       Impact factor: 2.441

4.  Pharmacogenetics of post-transplant diabetes mellitus in children with renal transplantation treated with tacrolimus.

Authors:  Pauline Lancia; Tiphaine Adam de Beaumais; Valéry Elie; Florentine Garaix; Marc Fila; François Nobili; Bruno Ranchin; Pascale Testevuide; Tim Ulinski; Wei Zhao; Georges Deschênes; Evelyne Jacqz-Aigrain
Journal:  Pediatr Nephrol       Date:  2018-02-04       Impact factor: 3.714

5.  Population pharmacokinetic analysis of tacrolimus in the first year after pediatric liver transplantation.

Authors:  V Guy-Viterbo; A Scohy; R K Verbeeck; R Reding; P Wallemacq; Flora Tshinanu Musuamba
Journal:  Eur J Clin Pharmacol       Date:  2013-04-16       Impact factor: 2.953

Review 6.  Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

Review 7.  Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet?

Authors:  Emily Brooks; Susan E Tett; Nicole M Isbel; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2016-11       Impact factor: 6.447

8.  Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach.

Authors:  Tom M Nanga; Thao T P Doan; Pierre Marquet; Flora T Musuamba
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       Impact factor: 4.335

9.  Population pharmacokinetic modelling and design of a Bayesian estimator for therapeutic drug monitoring of tacrolimus in lung transplantation.

Authors:  Caroline Monchaud; Brenda C de Winter; Christiane Knoop; Marc Estenne; Martine Reynaud-Gaubert; Christophe Pison; Marc Stern; Romain Kessler; Romain Guillemain; Pierre Marquet; Annick Rousseau
Journal:  Clin Pharmacokinet       Date:  2012-03-01       Impact factor: 6.447

10.  Tacrolimus Population Pharmacokinetics and Multiple CYP3A5 Genotypes in Black and White Renal Transplant Recipients.

Authors:  Olivia Campagne; Donald E Mager; Daniel Brazeau; Rocco C Venuto; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-05-18       Impact factor: 3.126

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