Literature DB >> 10739787

Abbreviated tacrolimus area-under-the-curve monitoring for renal transplant recipients.

K M Wong1, C C Shek, K F Chau, C S Li.   

Abstract

The area under the concentration time curve (AUC) for oral tacrolimus (FK) may provide a more precise model for FK monitoring after renal transplantation. The purpose of this study is to identify a simple, cost-effective method for predicting FK AUC. FK concentrations were measured at 0, 1, 2, 4, 6, 8, and 12 hours after the morning dose. The predicted AUCs (AUC(p)s) derived from regression equations were used to estimate the actual 12-hour AUCs (AUC(12)s). The relationship between AUC(p) and AUC(12) was validated by determining the coefficient of multiple determination (R(2)), percentage of prediction error (PE%), and percentage of absolute prediction error (APE%). Eighteen stable Oriental renal transplant recipients (9 men, 9 women) with a mean age of 42.6 +/- 6 years and mean body weight of 62.7 +/- 10 kg were recruited for the study. The FK AUC(12), trough, 2-hour, and 4-hour concentrations were 125 +/- 24 h. ng/mL (range, 87.7 to 181.9 h. ng/mL), 6 +/- 1.3 ng/mL, 18.1 +/- 4.7 ng/mL, and 11 +/- 2.4 ng/mL, respectively. Trough FK concentration did not have a significant correlation with AUC(12) (r = 0.34; P = 0.17). AUC(p) obtained by a two-time point regression equation using 2-hour (C2) and 4-hour (C4) FK concentrations: (AUC(P) = 16.2 + 2.4*C2 + 5.9*C4) obtained an R(2), PE%, and APE% of 0.93, -0.2% +/- 5.2% (range, -13% to 9.3%), and 3. 6% +/- 3.7% (range, 0.02% to 13%), respectively. We conclude that a two-point sampling method using C2 and C4 may be a more cost-effective FK monitoring strategy than morning FK trough levels in transplant recipients.

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Year:  2000        PMID: 10739787     DOI: 10.1016/s0272-6386(00)70013-8

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  22 in total

1.  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

2.  A limited sampling strategy for tacrolimus in renal transplant patients.

Authors:  Binu S Mathew; Denise H Fleming; Visalakshi Jeyaseelan; Sujith J Chandy; V M Annapandian; P K Subbanna; George T John
Journal:  Br J Clin Pharmacol       Date:  2008-06-28       Impact factor: 4.335

3.  A limited sampling strategy to estimate exposure of once-daily modified release tacrolimus in renal transplant recipients using linear regression analysis and comparison with Bayesian population pharmacokinetics in different cohorts.

Authors:  Frank Stifft; Franciscus Vandermeer; Cees Neef; Sander van Kuijk; Maarten H L Christiaans
Journal:  Eur J Clin Pharmacol       Date:  2020-02-04       Impact factor: 2.953

Review 4.  Once- versus twice-daily tacrolimus: are the formulations truly equivalent?

Authors:  Katherine A Barraclough; Nicole M Isbel; David W Johnson; Scott B Campbell; Christine E Staatz
Journal:  Drugs       Date:  2011-08-20       Impact factor: 9.546

5.  Evaluation of limited sampling strategies for tacrolimus.

Authors:  Robert A M Op den Buijsch; Afke van de Plas; Leo M L Stolk; Maarten H L Christiaans; Johannes P van Hooff; Nas A Undre; Marja P van Dieijen-Visser; Otto Bekers
Journal:  Eur J Clin Pharmacol       Date:  2007-08-22       Impact factor: 2.953

6.  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 7.  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 8.  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

9.  Evaluation of tacrolimus abbreviated area-under-the-curve monitoring in renal transplant patients who are potentially at risk for adverse events.

Authors:  Yuen Yi Hon; Christine E Chamberlain; David E Kleiner; Michael S Ring; Douglas A Hale; Allan D Kirk; Roslyn B Mannon
Journal:  Clin Transplant       Date:  2010 Jul-Aug       Impact factor: 2.863

10.  Gender-dependent predictable pharmacokinetic method for tacrolimus exposure monitoring in kidney transplant patients.

Authors:  Radmila Velickovic-Radovanovic; Momir Mikov; Aleksandra Catic-Djordjevic; Nikola Stefanovic; Branka Mitic; Goran Paunovic; Tatjana Cvetkovic
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2014-03-05       Impact factor: 2.441

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