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

dc.contributor.authorAndrews, L. M.
dc.contributor.authorHesselink, D. A.
dc.contributor.authorSchaik, R. H. N.
dc.contributor.authorGelder, T.
dc.contributor.authorFijter, J. W.
dc.contributor.authorLloberas Blanch, Núria
dc.contributor.authorElens, L.
dc.contributor.authorMoes, D. J. A. R.
dc.contributor.authorWinter, B. C. M.
dc.date.accessioned2021-03-15T12:28:42Z
dc.date.available2021-03-15T12:28:42Z
dc.date.issued2019-01-17
dc.date.updated2021-03-09T13:43:12Z
dc.description.abstractAims: 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.
dc.format.extent15 p.
dc.format.mimetypeapplication/pdf
dc.identifier.pmid30552703
dc.identifier.urihttps://hdl.handle.net/2445/175111
dc.language.isoeng
dc.publisherWiley
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1111/bcp.13838
dc.relation.ispartofBritish Journal of Clinical Pharmacology, 2019, vol. 85, num. 3, p. 601-615
dc.relation.urihttps://doi.org/10.1111/bcp.13838
dc.rightscc by-nc (c) Andrews, L. M. et al., 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
dc.subject.classificationFarmacocinètica
dc.subject.classificationTrasplantament renal
dc.subject.classificationImmunologia
dc.subject.otherPharmacokinetics
dc.subject.otherKidney transplantation
dc.subject.otherImmunology
dc.titleA population pharmacokinetic model to predict the individual starting dose of tacrolimus in adult renal transplant recipients
dc.typeinfo:eu-repo/semantics/article

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