Unknown

Dataset Information

0

A population pharmacokinetic model to predict the individual starting dose of tacrolimus in adult renal transplant recipients.


ABSTRACT: AIMS:The aims of this study were to describe the pharmacokinetics of tacrolimus immediately after kidney transplantation, and to develop a clinical tool for selecting the best starting dose for each patient. METHODS:Data on tacrolimus exposure were collected for the first 3 months following renal transplantation. A population pharmacokinetic analysis was conducted using nonlinear mixed-effects modelling. Demographic, clinical and genetic parameters were evaluated as covariates. RESULTS:A total of 4527 tacrolimus blood samples collected from 337 kidney transplant recipients were available. Data were best described using a two-compartment model. The mean absorption rate was 3.6 h-1 , clearance was 23.0 l h-1 (39% interindividual variability, IIV), central volume of distribution was 692 l (49% IIV) and the peripheral volume of distribution 5340 l (53% IIV). Interoccasion variability was added to clearance (14%). Higher body surface area (BSA), lower serum creatinine, younger age, higher albumin and lower haematocrit levels were identified as covariates enhancing tacrolimus clearance. Cytochrome P450 (CYP) 3A5 expressers had a significantly higher tacrolimus clearance (160%), whereas CYP3A4*22 carriers had a significantly lower clearance (80%). From these significant covariates, age, BSA, CYP3A4 and CYP3A5 genotype were incorporated in a second model to individualize the tacrolimus starting dose: [Formula: see text] Both models were successfully internally and externally validated. A clinical trial was simulated to demonstrate the added value of the starting dose model. CONCLUSIONS:For a good prediction of tacrolimus pharmacokinetics, age, BSA, CYP3A4 and CYP3A5 genotype are important covariates. These covariates explained 30% of the variability in CL/F. The model proved effective in calculating the optimal tacrolimus dose based on these parameters and can be used to individualize the tacrolimus dose in the early period after transplantation.

SUBMITTER: Andrews LM 

PROVIDER: S-EPMC6379219 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

A population pharmacokinetic model to predict the individual starting dose of tacrolimus in adult renal transplant recipients.

Andrews L M LM   Hesselink D A DA   van Schaik R H N RHN   van Gelder T T   de Fijter J W JW   Lloberas N N   Elens L L   Moes D J A R DJAR   de Winter B C M BCM  

British journal of clinical pharmacology 20190117 3


<h4>Aims</h4>The aims of this study were to describe the pharmacokinetics of tacrolimus immediately after kidney transplantation, and to develop a clinical tool for selecting the best starting dose for each patient.<h4>Methods</h4>Data on tacrolimus exposure were collected for the first 3 months following renal transplantation. A population pharmacokinetic analysis was conducted using nonlinear mixed-effects modelling. Demographic, clinical and genetic parameters were evaluated as covariates.<h4  ...[more]

Similar Datasets

| S-EPMC5296901 | biostudies-literature
| S-EPMC8669916 | biostudies-literature
| S-EPMC6379234 | biostudies-literature
| S-EPMC5846312 | biostudies-literature