Literature DB >> 20190242

High within-patient variability in the clearance of tacrolimus is a risk factor for poor long-term outcome after kidney transplantation.

Lennaert C P Borra1, Joke I Roodnat, Judith A Kal, Ron A A Mathot, Willem Weimar, Teun van Gelder.   

Abstract

BACKGROUND: We hypothesized that a high within-patient variability in clearance of tacrolimus and mycophenolate mofetil (MMF) would put patients at risk for periods of over- or underimmunosuppression and would thus lead to long-term chronic allograft nephropathy and graft loss after transplantation.
METHODS: From 297 patients transplanted between 1 January 2000 and 31 December 2004, the within-patient variability in clearance was calculated from tacrolimus whole-blood concentrations and mycophenolic acid (MPA) plasma concentrations drawn between 6 and 12 months post-transplantation. As a primary outcome, a composite end point consisting of graft loss, biopsy-proven chronic allograft nephropathy and 'doubling in plasma creatinine concentration in the period between t = 12 months post-transplantation and last follow-up' was used.
RESULTS: In the study population of 297 patients, 34 patients reached the primary end point of graft failure. The within-patient variability in the clearance of tacrolimus and three other covariates are significant risk factors for reaching the composite end point of failure [P-values for intraindividual tacrolimus variability = 0.003, biopsy-proven acute rejection (BPAR) = 0.003, recipient age at transplantation = 0.005]. The mean tacrolimus concentration for controls [7.4 (+/- 2.9) ng/mL] and for failures [6.9 (+/- 2.5) ng/mL] was similar. Within-patient variability in the clearance of MPA was not related to reaching the composite end point of failure.
CONCLUSIONS: This study shows a significant relationship between the high within-patient variability in the clearance of tacrolimus, but not for MPA, and long-term graft failure.

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Year:  2010        PMID: 20190242     DOI: 10.1093/ndt/gfq096

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  62 in total

1.  Impact of the CYP3A5 genotype on the distributions of dose-adjusted trough concentrations and incidence of rejection in Japanese renal transplant recipients receiving different tacrolimus formulations.

Authors:  Takenori Niioka; Hideaki Kagaya; Mitsuru Saito; Takamitsu Inoue; Kazuyuki Numakura; Ryohei Yamamoto; Tomonori Habuchi; Shigeru Satoh; Masatomo Miura
Journal:  Clin Exp Nephrol       Date:  2017-03-07       Impact factor: 2.801

Review 2.  Clinical Pharmacokinetics of Once-Daily Tacrolimus in Solid-Organ Transplant Patients.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2015-10       Impact factor: 6.447

3.  Tacrolimus Variability: A Cause of Donor-Specific Anti-HLA Antibody Formation in Children.

Authors:  Gulsah Kaya Aksoy; Elif Comak; Mustafa Koyun; Halide Akbaş; Bahar Akkaya; Bülent Aydınlı; Fahri Uçar; Sema Akman
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2019-02-08       Impact factor: 2.441

4.  Letter to the Editor: Mobile Technology Can Improve Adherence and Lessen Tacrolimus Variability in Patients Receiving Kidney Transplants.

Authors:  Julia Torabi; Krystina Choinski; Alesa Courson; Alana Zanetti-Yabur; Juan P Rocca; Jay A Graham
Journal:  Ochsner J       Date:  2017

5.  Exploratory Analysis of the Impact of an mHealth Medication Adherence Intervention on Tacrolimus Trough Concentration Variability: Post Hoc Results of a Randomized Controlled Trial.

Authors:  John W McGillicuddy; Jessica L Chandler; Luke R Sox; David J Taber
Journal:  Ann Pharmacother       Date:  2020-06-08       Impact factor: 3.154

6.  Tacrolimus trough and dose intra-patient variability and CYP3A5 genotype: Effects on acute rejection and graft failure in European American and African American kidney transplant recipients.

Authors:  Stephan R Seibert; David P Schladt; Baolin Wu; Weihua Guan; Casey Dorr; Rory P Remmel; Arthur J Matas; Roslyn B Mannon; Ajay K Israni; William S Oetting; Pamala A Jacobson
Journal:  Clin Transplant       Date:  2018-10-31       Impact factor: 2.863

7.  Analysis of tacrolimus and creatinine from a single dried blood spot using liquid chromatography tandem mass spectrometry.

Authors:  Dennis R Koop; Lisa A Bleyle; Myrna Munar; Ganesh Cherala; Amira Al-Uzri
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2013-03-04       Impact factor: 3.205

8.  Tacrolimus trough-level variability predicts long-term allograft survival following kidney transplantation.

Authors:  John A O'Regan; Mark Canney; Dervla M Connaughton; Patrick O'Kelly; Yvonne Williams; Geraldine Collier; Declan G deFreitas; Conall M O'Seaghdha; Peter J Conlon
Journal:  J Nephrol       Date:  2015-09-15       Impact factor: 3.902

Review 9.  Genetics of acute rejection after kidney transplantation.

Authors:  Casey R Dorr; William S Oetting; Pamala A Jacobson; Ajay K Israni
Journal:  Transpl Int       Date:  2017-11-08       Impact factor: 3.782

Review 10.  Once-daily prolonged-release tacrolimus formulations for kidney transplantation: what the nephrologist needs to know.

Authors:  Giovanni Piotti; Elena Cremaschi; Umberto Maggiore
Journal:  J Nephrol       Date:  2016-05-20       Impact factor: 3.902

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