ArticleNaunyn-Schmiedeberg's archives of pharmacology2025
Tacrolimus population pharmacokinetic model-informed precision dosing in adult liver transplant patients.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Model-Informed Precision Dosing of Tacrolimus Initial Dosage Optimization in Membranous Nephropathy Patients.Drug design, development and therapy · 2026Article
- Toward adaptive therapeutic timing: integration of mechanistic pharmacology and artificial intelligence in precision dosing.Frontiers in pharmacology · 2026Review
- Initial Dosage Optimization of Tacrolimus in Connective Tissue Disease-Associated Interstitial Lung Disease Patients: An Exploratory Study.Drug design, development and therapy · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
We aimed to explore tacrolimus population pharmacokinetic (PPK) characteristics in adult liver transplantation patients and develop individualized dosing software for precision dosing. Data were retrospectively extracted from adult liver transplantation patients receiving tacrolimus at Chinese PLA General Hospital and Beijing Friendship Hospital. The PPK model was established using Phoenix, with the final model developed through forward inclusion-backward elimination. Bootstrap and visual predictive check (VPC) were used to validate the final model. External validation was conducted, and the mean error (ME), mean absolute error (MAE), and root mean square error (RMSE) were calculated. The software, developed in C# language, predicted drug concentrations three times for each of the 10 patients, calculating the predictive error (PE) and the absolute predictive error (APE). The application of this software for dosing regimen recommendations was also elucidated. Fifty-seven patients were included, with 633 blood drug concentrations collected. Data from 41 patients (Chinese PLA General Hospital) were used for modeling, and a one-compartment model with first-order absorption was built. Postoperative days and γ-glutamyl transferase affected clearance. The final model parameters were within Bootstrap's prediction range, and VPC prediction results aligned with the observations. Data from 16 patients (Beijing Friendship Hospital) were used for external validation, ME, MAE, and RMSE were - 0.32, 2.07, and 2.76 ng/mL, respectively, indicating robust predictive capability. PE and APE decreased with an increase in the number of blood drug concentrations. The developed software accurately predicts drug concentrations and the accuracy of these predictions increases with the number of drug concentrations used. A robust PPK model was established for liver transplant adults. The individualized dosing software not only predicts drug concentrations with increasing precision but also facilitates the practical application of model-informed precision dosing, offering customized dosing regimens that are poised to optimize therapeutic outcomes in liver transplant patients.
Indexed as
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40029388What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.