A population pharmacokinetic model for early follow-up dosing of tacrolimus in Tunisian kidney transplant recipients

In the first 3 months post-transplant, tacrolimus CL/F was significantly influenced by <i>CYP3A5</i> genotype, BMI, hematocrit, and time after transplantation. The model supports individualized dose adjustment; prospective external validation and a simple dose-adjustment algorithm are warranted to facilitate clinical implementation.

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Publication Details

Journal
Personalized Medicine
Published
2025-11-02
DOI
https://doi.org/10.1080/17410541.2025.2606641
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
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article

A population pharmacokinetic model for early follow-up dosing of tacrolimus in Tunisian kidney transplant recipients

Dennis A. Hesselink, Dorra Amor, Marith I. Francke, Ali Bouslama et al.
Personalized Medicine
Renal Transplantation Outcomes and Treatments
article

A population pharmacokinetic model for early follow-up dosing of tacrolimus in Tunisian kidney transplant recipients

Dennis A. Hesselink, Dorra Amor, Marith I. Francke, Ali Bouslama, Amani Abderahmene, Brenda C. M. de Winter, W. Sahtout, Asma omezzine, Louise M. Andrews, Meriam Ammar, Dorsaf Zellama, Azzabi Awatif
article en

Abstract

In the first 3 months post-transplant, tacrolimus CL/F was significantly influenced by <i>CYP3A5</i> genotype, BMI, hematocrit, and time after transplantation. The model supports individualized dose adjustment; prospective external validation and a simple dose-adjustment algorithm are warranted to facilitate clinical implementation.

Personalized MedicineVol. 22(6)
Erasmus MC (NL), Hôpital Sahloul (TN), Erasmus MC Cancer Institute (NL), Meander Medisch Centrum (NL)
Good health and well-being
Openalex Percentile: Top 23%
Renal Transplantation Outcomes and Treatments
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