Literature DB >> 23480233

Tacrolimus predose concentrations do not predict the risk of acute rejection after renal transplantation: a pooled analysis from three randomized-controlled clinical trials(†).

R Bouamar1, N Shuker, D A Hesselink, W Weimar, H Ekberg, B Kaplan, C Bernasconi, T van Gelder.   

Abstract

Therapeutic drug monitoring (TDM) for tacrolimus (Tac) is universally applied. However, the concentration-effect relationship for Tac is poorly defined. This study investigated whether Tac concentrations are associated with acute rejection in kidney transplant recipients. Data from three large trials were pooled. We used univariate and multivariate analysis to investigate the relationship between biopsy-proven acute rejection (BPAR) and Tac predose concentration at five time points (day 3, 10 and 14, and month 1 and 6 after transplantation). A total of 136/1304 patients experienced BPAR, giving an overall incidence of 10.4%. We did not find any significant correlations between Tac predose concentrations and the incidence of BPAR at the different time points. In the multivariate analysis, only delayed graft function (DGF) and the use of induction therapy were independently correlated with BPAR, with an odds ratio of 2.7 [95% CI: 1.8-4.0; p < 0.001] for DGF and 0.66 [95% CI: 0.44-0.99; p = 0.049] for induction therapy. The other variables, including the Tac predose concentrations, were not statistically significantly associated with BPAR. We did not find an association between the Tac predose concentrations measured at five time points after kidney transplantation and the incidence of acute rejection occurring thereafter. Based on this study it is not possible to define the optimal target concentrations for Tac. © Copyright 2013 The American Society of Transplantation and the American Society of Transplant Surgeons.

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Year:  2013        PMID: 23480233     DOI: 10.1111/ajt.12191

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  40 in total

Review 1.  Clinical implementation of pharmacogenetics in kidney transplantation: calcineurin inhibitors in the starting blocks.

Authors:  Laure Elens; Rachida Bouamar; Nauras Shuker; Dennis A Hesselink; Teun van Gelder; Ron H N van Schaik
Journal:  Br J Clin Pharmacol       Date:  2014-04       Impact factor: 4.335

2.  Population pharmacokinetic model and Bayesian estimator for 2 tacrolimus formulations in adult liver transplant patients.

Authors:  Camille Riff; Jean Debord; Caroline Monchaud; Pierre Marquet; Jean-Baptiste Woillard
Journal:  Br J Clin Pharmacol       Date:  2019-06-14       Impact factor: 4.335

3.  Incidence and impact of adverse drug events contributing to hospital readmissions in kidney transplant recipients.

Authors:  Michelle A Arms; James Fleming; Deep B Sangani; Satish N Nadig; John W McGillicuddy; David J Taber
Journal:  Surgery       Date:  2017-11-22       Impact factor: 3.982

4.  Importance of hematocrit for a tacrolimus target concentration strategy.

Authors:  Elisabet Størset; Nick Holford; Karsten Midtvedt; Sara Bremer; Stein Bergan; Anders Åsberg
Journal:  Eur J Clin Pharmacol       Date:  2013-09-27       Impact factor: 2.953

5.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for CYP3A5 Genotype and Tacrolimus Dosing.

Authors:  K A Birdwell; B Decker; J M Barbarino; J F Peterson; C M Stein; W Sadee; D Wang; A A Vinks; Y He; J J Swen; J S Leeder; Rhn van Schaik; K E Thummel; T E Klein; K E Caudle; I A M MacPhee
Journal:  Clin Pharmacol Ther       Date:  2015-06-03       Impact factor: 6.875

6.  Improved Tacrolimus Target Concentration Achievement Using Computerized Dosing in Renal Transplant Recipients--A Prospective, Randomized Study.

Authors:  Elisabet Størset; Anders Åsberg; Morten Skauby; Michael Neely; Stein Bergan; Sara Bremer; Karsten Midtvedt
Journal:  Transplantation       Date:  2015-10       Impact factor: 4.939

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.  Role of pharmacogenomics in dialysis and transplantation.

Authors:  Kelly Birdwell
Journal:  Curr Opin Nephrol Hypertens       Date:  2014-11       Impact factor: 2.894

Review 9.  Population Pharmacokinetics of Tacrolimus in Transplant Recipients: What Did We Learn About Sources of Interindividual Variabilities?

Authors:  Olivia Campagne; Donald E Mager; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-10-29       Impact factor: 3.126

Review 10.  The role of pharmacogenetics in the disposition of and response to tacrolimus in solid organ transplantation.

Authors:  Dennis A Hesselink; Rachida Bouamar; Laure Elens; Ron H N van Schaik; Teun van Gelder
Journal:  Clin Pharmacokinet       Date:  2014-02       Impact factor: 6.447

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