An algorithm based on the CYP3A5 genotype to predict tacrolimus clearance to inform the optimal initial dose was derived using data from the DeKAF study (Passey et al. Br J Clin Pharmacol 2011; 72: 948-57) but was not tested in an independent cohort of patients. Our aim was to test whether the DeKAF dosing algorithm could predict estimated tacrolimus clearance in renal transplant recipients at our centre.

A published pharmacogenetic algorithm was poorly predictive of tacrolimus clearance in an independent cohort of renal transplant recipients

Cecconi, Maurizio;
2013-01-01

Abstract

An algorithm based on the CYP3A5 genotype to predict tacrolimus clearance to inform the optimal initial dose was derived using data from the DeKAF study (Passey et al. Br J Clin Pharmacol 2011; 72: 948-57) but was not tested in an independent cohort of patients. Our aim was to test whether the DeKAF dosing algorithm could predict estimated tacrolimus clearance in renal transplant recipients at our centre.
2013
dosing algorithm
immunosuppression
pharmacogenetics
renal transplant
tacrolimus
Adolescent
Adult
Aged
Cohort Studies
Cytochrome P-450 CYP3A
Dose-Response Relationship, Drug
Female
Genotype
Humans
Immunosuppressive Agents
Male
Metabolic Clearance Rate
Middle Aged
Pharmacogenetics
Predictive Value of Tests
Tacrolimus
Young Adult
Algorithms
Kidney Transplantation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/55681
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