Population Pharmacokinetic Profiling of Tacrolimus in Renal Transplant Recipients (RTRs) Taking Diltiazem.
1Newcastle Transplant Unit, John Hunter Hospital, Newcastle, NSW, Australia
2University of Newcastle, Newcastle, NSW, Australia
3Hunter Transplant Research Foundation, Hunter Medical Research Institute, Newcastle, NSW, Australia
Meeting: 2017 American Transplant Congress
Abstract number: D85
Keywords: FK506, Immunosuppression, Kidney transplantation, Pharmacokinetics
Session Information
Session Name: Poster Session D: Kidney Immunosuppression: Novel Regimens and Drug Minimization
Session Type: Poster Session
Date: Tuesday, May 2, 2017
Session Time: 6:00pm-7:00pm
Presentation Time: 6:00pm-7:00pm
Location: Hall D1
Background: Over the past 6 years we have prospectively used pharmacokinetic (PK) profiling of Tacrolimus (TAC) in “stable” RTR's to individualise future dosing. This study reports the results of TAC profiling in a large cohort of consecutive renal transplants in our unit. Diltiazem is a known inhibitor of CYP 3A4 and is routinely used in our unit to spare the TAC dose and protect against renal vasoconstrictive effects.
Methods: Stable RTR's had whole blood TAC levels measured (Architect CMIA, Abbott) at 6 time points (C0,0.5,1,2,3 and 4hours) from which a measured AUC0-4 was calculated by the Trapezoidal method and an AUC0-12 was derived using a published Bayesian equation based on four time points (C0, C1, C2 and C4). All patients were on prednisolone (0.3mg/kg) and Myfortic. 132 (82.3%) patients were also on daily Diltiazem (60mg -1.3%, 180 mg-66.0%, 240mg-15.0%, 360mg-3.9%). The correlation of each concentration time point with AUC's was measured by logistic regression. The dose/kg relationship to interquartile ranges for C0, AUC0-4 and AUC0-12 was determined and related to accepted therapeutic ranges from the published literature.
Results: 153 (103M:F50) consecutive RTRs were TAC PK profiled at a median of 33 POD's (IQR 27.3). Median for C0 = 9.5 (IQR 3.6 ng/ml); AUC0-4 = 69 ng.hr/ml (IQR 33); AUC 0-12 = 156.8 ng.hr/ml (IQR 69.11). 85/153( 55.56% ) of patients had C0 in the therapeutic range of 5-10 ng/ml, 4.6% (7/153) were below and 39.9% (61/153) were above. For AUC 0-12 the majority, 88/153 (57.5%), were above a recommended range of 100-150 ng.h/ml. 32/85 (36.4%) of patients with a C0 of 5-10 ng/ml had AUC0-12 of >150 ng.h/ml. 63/153(41.3%) of patients had Tmax=2hrs and 44(28.8%) had Tmax=1hr. In a linear regression model, C4 had the best correlation with AUC0-12 (r2= 0.90) whereas C0 was poorly correlated (r2= 0.625). C2 had best correlation with AUC0-4 (r2=0.78). Bioavailability measured by AUC0-4/dose_kg trended higher in females (p = 0.06)
Conclusions: PK profiling suggests 57.5% of our transplant population were overexposed to TAC despite acceptable C0 levels in the majority. Our study indicates a derived AUC measurement is a much better guide than C0 for future TAC dose adjustments in RTR's taking Diltiazem.
CITATION INFORMATION: Trevillian P, Heer M, Ainsworth S, Hibberd A. Population Pharmacokinetic Profiling of Tacrolimus in Renal Transplant Recipients (RTRs) Taking Diltiazem. Am J Transplant. 2017;17 (suppl 3).
To cite this abstract in AMA style:
Trevillian P, Heer M, Ainsworth S, Hibberd A. Population Pharmacokinetic Profiling of Tacrolimus in Renal Transplant Recipients (RTRs) Taking Diltiazem. [abstract]. Am J Transplant. 2017; 17 (suppl 3). https://atcmeetingabstracts.com/abstract/population-pharmacokinetic-profiling-of-tacrolimus-in-renal-transplant-recipients-rtrs-taking-diltiazem/. Accessed November 24, 2024.« Back to 2017 American Transplant Congress