Dosing of tacrolimus is challenging due to the large inter-individual variation in its pharmacokinetics. The investigators have developed a pharmacokinetics population model that can be used to estimate individual doses of tacrolimus in renal transplant recipients. The model will be prospective tested in a randomized clinical trial. The hypothesis is that the computer model is superior to experienced transplant physicians in reaching and keeping the patients in the target range of tacrolimus.
Patients will be randomized to either computer or standard dosing strategies at time of transplantation or as early after transplantation as possible in case of deceased donor transplants. For patients in the computer arm the model will calculate the dose with the highest probability to reach the specified concentration target. For all concentrations a predictive error will be calculated and this will be the primary endpoint that the statistics will be calculated on. All patients will be followed for between 8 to 12 weeks post-transplant, according to center praxis.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
80
Pharmacokinetic population model for individual dose estimations of tacrolimus based on concentrations measurements and inclusion of relevant covariates
Tacrolimus dose determination according to trough concentrations and standard TDM at the clinic
Olso university hospital - Rikshospitalet
Oslo, Norway
Predictive error (Cpred-Cobs)
Predictive error will be calculated as the computer predicted concentration minus the measured concentration over the first 8 to 12 weeks post-transplant in the computer group. The calculations will be binned into weekly assessments.
Time frame: 8 to 12 weeks
Reaching the target concentration
In each arm the deviation of the observed concentration front he preset target concentration will be calculated for each measured concentration. The deviations will be compared between the two arms.
Time frame: 8 to 12 weeks post-transplant
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