Literature DB >> 19177031

Opportunities to optimize tacrolimus therapy in solid organ transplantation: report of the European consensus conference.

Pierre Wallemacq1, Victor W Armstrong, Merce Brunet, Vincent Haufroid, David W Holt, Atholl Johnston, Dirk Kuypers, Yannick Le Meur, Pierre Marquet, Michael Oellerich, Eric Thervet, Burkhand Toenshoff, Nas Undre, Lutz T Weber, Ian S Westley, Michel Mourad.   

Abstract

In 2007, a consortium of European experts on tacrolimus (TAC) met to discuss the most recent advances in the drug/dose optimization of TAC taking into account specific clinical situations and the analytical methods currently available and drew some recommendations and guidelines to help clinicians with the practical use of the drug. Pharmacokinetic, pharmacodynamic, and more recently pharmacogenetic approaches aid physicians to individualize long-term therapies as TAC demonstrates a high degree of both between- and within-individual variability, which may result in an increased risk of therapeutic failure if all patients are administered a uniform dose. TAC has undoubtedly benefited from therapeutic drug monitoring, but interpretation of the blood concentration is confounded by the relative differences between the assays. Single time points, limited sampling strategies, and area under concentration-time curve have all been considered to determine the most appropriate sampling procedure that correlates with efficacy. Therapeutic trough TAC concentration ranges have changed since the initial introduction of the drug, while still maintaining adequate immunosuppression and avoiding drug-related adverse effects. Pharmacodynamic markers have also been considered advantageous to the clinician, which may better reflect efficacy and safety, taking into account the between-individual variability rather than whole blood concentrations. The choice of method, differences between methods, and potential pitfalls of the method should all be considered when determining TAC concentrations. The recommendations of this consensus meeting regarding the analytical methods include the following: encourage the development and promote the use of analytical methods displaying a lower limit of quantification (1 ng/mL), perform careful validation when implementing a new analytical assay, participate in external proficiency testing programs, promote the use of certified material as calibrators in high-performance liquid chromatography with mass spectrometric detection methods, and take account of the assay and intermethod bias when comparing clinical trial outcomes. It is also important to consider that TAC concentrations may also be influenced by other factors such as specific pharmacokinetic characteristics associated with the population, drug interactions, pharmacogenetics, adverse events that may alter TAC concentrations, and any change in the oral formulation that may result in pharmacokinetic changes. This meeting emphasized the importance of obtaining multicenter prospective trials to assess the efficacy of alternative strategies to TAC trough concentrations whether it is other single time points or area under the concentration-time curve Bayesian estimation using limited sampling strategies and to select, standardize, and validate routine biomarkers of TAC pharmacodynamics.

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Year:  2009        PMID: 19177031     DOI: 10.1097/FTD.0b013e318198d092

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  120 in total

1.  Tacrolimus pharmacokinetics in the early post-liver transplantation period and clinical applicability via Bayesian prediction.

Authors:  Itziar Oteo; John C Lukas; Nerea Leal; Elena Suarez; Andres Valdivieso; Mikel Gastaca; Jorge Ortiz de Urbina; Rosario Calvo
Journal:  Eur J Clin Pharmacol       Date:  2012-06-03       Impact factor: 2.953

2.  Pharmacokinetics of tacrolimus converted from twice-daily formulation to once-daily formulation in Chinese stable liver transplant recipients.

Authors:  Yi-fan Zhang; Xiao-yan Chen; Xiao-jian Dai; Xi-sheng Leng; Da-fang Zhong
Journal:  Acta Pharmacol Sin       Date:  2011-10-03       Impact factor: 6.150

3.  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

4.  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

5.  Relationships of related genetic polymorphisms and individualized medication of tacrolimus in patients with renal transplantation.

Authors:  Lin Zhu; Jing Zhang; Hongtao Song; Qinghua Wang; Jianming Tan; Weizhen Wu; Meiqin Lin
Journal:  Int J Clin Exp Med       Date:  2015-10-15

6.  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

7.  Determination of the most influential sources of variability in tacrolimus trough blood concentrations in adult liver transplant recipients: a bottom-up approach.

Authors:  Cécile Gérard; Jeanick Stocco; Anne Hulin; Benoit Blanchet; Céline Verstuyft; François Durand; Filomena Conti; Christophe Duvoux; Michel Tod
Journal:  AAPS J       Date:  2014-02-14       Impact factor: 4.009

8.  Association between interleukin-18 promoter variants and tacrolimus pharmacokinetics in Chinese renal transplant patients.

Authors:  Jiazhen Xing; Xiaoqing Zhang; Junwei Fan; Bin Shen; Tongyi Men; Jianning Wang
Journal:  Eur J Clin Pharmacol       Date:  2014-12-10       Impact factor: 2.953

9.  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

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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