4.5 Article

Factors affecting the apparent clearance of tacrolimus in Korean adult liver transplant recipients

Journal

PHARMACOTHERAPY
Volume 26, Issue 8, Pages 1069-1077

Publisher

PHARMACOTHERAPY PUBLICATIONS INC
DOI: 10.1592/phco.26.8.1069

Keywords

tacrolimus; population pharmacokinetics; clinical factors; liver transplantation

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Study Objective. To identify the factors affecting tacrolimus apparent total body clearance (Cl/F [F = bioavailability]) in adult liver transplant recipients. Design. Population pharmacokinetic analysis using data from a retrospective chart review. Setting. University-affiliated hospital in Seoul, South Korea. Patients. Fifty-one adult liver transplant recipients who had received tacrolimus after transplantation. Measurements and Main Results. Data on 35 adult liver transplant recipients for model building and 16 patients for model validation were obtained retrospectively. Population average parameter estimates of Cl/F and apparent volume of distribution (V/F) were sought by using the nonlinear mixed-effect model (NONMEM) program. A number of clinical covariates were screened for their influence on these pharmacokinetic parameters. The final optimal population model related Cl/F to total bilirubin, early (<= 3 days) and late (> 35 days) postoperative days, international normalized ratio (INR), and graft:recipient weight ratio (GRWR). The NONMEM estimates indicated that the Cl/F of tacrolimus was decreased in patients with a small graft, hyperbilirubinemia, and a high INR. In addition, the Cl/F of tacrolimus almost doubled 4 days after transplantation, but decreased with an increase in duration of therapy after day 35. Mean prediction error and mean absolute prediction error were 0.26 and 3.78 ng/ml, respectively, for the validation sample. A final analysis in all 51 patients, which consisted of 1775 blood samples for concentration measurements, identified the following regression model: Cl/F (L/hr) (0.36 + 2.01/POD (.) L) (.) TBIL-0.23 ((TBIL = 1 if TBIL level) (<= 1.2 mg/dl, otherwise TBIL = TBIL level) .) 0.49((if POD) (<= 3 days)) (.) (0.75(if INR > 1.4) .) (0.86) ((if GRWR <=) (1.25%)) (.) WT, where L was 1 if postoperative day (POD) was greater than 35 days, otherwise L was 0; V/F was 568 L, TBIL was total bilirubin, and WT was body weight. The interindividual variabilities (coefficients of variation) in Cl/F and V/F were 35.35% and 68.12%, respectively The residual variability was 3.14 ng/ml. Conclusion. These findings could be useful to the health care provider for adjustment of tacrolimus dosage in adult liver transplant recipients with various clinical factors.

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