Literature DB >> 12496747

Population pharmacokinetics of tacrolimus in adult kidney transplant recipients.

Christine E Staatz1, Charlene Willis, Paul J Taylor, Susan E Tett.   

Abstract

OBJECTIVES: The aims of this study were to investigate the population pharmacokinetics of tacrolimus in adult kidney transplant recipients and to identify factors that explain variability.
METHODS: Population analysis was performed on retrospective data from 70 patients who received oral tacrolimus twice daily. Morning blood trough concentrations were measured by liquid chromatography-tandem mass spectrometry. Maximum likelihood estimates were sought for apparent clearance (CL/F) and apparent volume of distribution (V/F), with the use of NONMEM (GloboMax LLC, Hanover, Md). Factors screened for influence on these parameters were weight, age, gender, postoperative day, days of tacrolimus therapy, liver function tests, creatinine clearance, hematocrit fraction, corticosteroid dose, and potential interacting drugs.
RESULTS: CL/F was greater in patients with abnormally low hematocrit fraction (data from 21 patients only), and it decreased with increasing days of therapy and AST concentrations (P <.01). Average parameter estimates were as follows: CL/F = 31.8 L/h (hematocrit <0.33), CL/F = 24.2 L/h (hematocrit >0.33), and V/F = 2080 L. Marked interindividual variability (42% to 111%) and residual random error (3.7 ng/mL) were observed. On the basis of the derived model, a patient with normal AST (20 U/L) or high AST (200 U/L) concentrations 7 days after commencement of therapy would require a tacrolimus dose of 4.6 mg or 4.0 mg, respectively, to achieve a steady-state trough concentration of 10 ng/mL.
CONCLUSIONS: The population pharmacokinetics of tacrolimus in adult kidney transplant recipients showed wide variability. Thus it is not possible to use a standard tacrolimus dose as an empiric predictor of concentration in this population. An understanding of factors that influence the pharmacokinetics of tacrolimus may assist in drug dosage decisions.

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Year:  2002        PMID: 12496747     DOI: 10.1067/mcp.2002.129304

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  48 in total

1.  Prediction of the tacrolimus population pharmacokinetic parameters according to CYP3A5 genotype and clinical factors using NONMEM in adult kidney transplant recipients.

Authors:  Nayoung Han; Hwi-yeol Yun; Jin-yi Hong; In-Wha Kim; Eunhee Ji; Su Hyun Hong; Yon Su Kim; Jongwon Ha; Wan Gyoon Shin; Jung Mi Oh
Journal:  Eur J Clin Pharmacol       Date:  2012-06-02       Impact factor: 2.953

2.  Evaluation of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients.

Authors:  Katherine A Barraclough; Nicole M Isbel; Carl M Kirkpatrick; Katie J Lee; Paul J Taylor; David W Johnson; Scott B Campbell; Diana R Leary; Christine E Staatz
Journal:  Br J Clin Pharmacol       Date:  2011-02       Impact factor: 4.335

3.  External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients.

Authors:  Chen-Yan Zhao; Zheng Jiao; Jun-Jun Mao; Xiao-Yan Qiu
Journal:  Br J Clin Pharmacol       Date:  2016-02-26       Impact factor: 4.335

4.  Population pharmacokinetic model and Bayesian estimator for two tacrolimus formulations--twice daily Prograf and once daily Advagraf.

Authors:  Jean-Baptiste Woillard; Brenda C M de Winter; Nassim Kamar; Pierre Marquet; Lionel Rostaing; Annick Rousseau
Journal:  Br J Clin Pharmacol       Date:  2011-03       Impact factor: 4.335

5.  Pharmacokinetic study of tacrolimus in cystic fibrosis and non-cystic fibrosis lung transplant patients and design of Bayesian estimators using limited sampling strategies.

Authors:  Franck Saint-Marcoux; Christiane Knoop; Jean Debord; Philippe Thiry; Annick Rousseau; Marc Estenne; Pierre Marquet
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

6.  Pharmacokinetics of tacrolimus in stable paediatric renal transplant recipients.

Authors:  Tania Claeys; Maria Van Dyck; Rita Van Damme-Lombaerts
Journal:  Pediatr Nephrol       Date:  2009-11-03       Impact factor: 3.714

7.  Dosing equation for tacrolimus using genetic variants and clinical factors.

Authors:  Chaitali Passey; Angela K Birnbaum; Richard C Brundage; William S Oetting; Ajay K Israni; Pamala A Jacobson
Journal:  Br J Clin Pharmacol       Date:  2011-12       Impact factor: 4.335

8.  Tacrolimus population pharmacokinetic-pharmacogenetic analysis and Bayesian estimation in renal transplant recipients.

Authors:  Khaled Benkali; Aurelie Prémaud; Nicolas Picard; Jean-Philippe Rérolle; Olivier Toupance; Guillaume Hoizey; Alain Turcant; Florence Villemain; Yannick Le Meur; Pierre Marquet; Annick Rousseau
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

Review 9.  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

10.  Validation of tacrolimus equation to predict troughs using genetic and clinical factors.

Authors:  Chaitali Passey; Angela K Birnbaum; Richard C Brundage; David P Schladt; William S Oetting; Robert E Leduc; Ajay K Israni; Weihua Guan; Arthur J Matas; Pamala A Jacobson
Journal:  Pharmacogenomics       Date:  2012-07       Impact factor: 2.533

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