Literature DB >> 30973981

Population pharmacokinetic model and Bayesian estimator for 2 tacrolimus formulations in adult liver transplant patients.

Camille Riff1, Jean Debord1,2,3, Caroline Monchaud1,2,3, Pierre Marquet1,2,3, Jean-Baptiste Woillard1,2,3.   

Abstract

Entities:  

Keywords:  ITSIM; Pmetrics; liver transplantation; population modelling; tacrolimus

Mesh：

Substances：

Year:  2019        PMID： 30973981      PMCID： PMC6624397          DOI： 10.1111/bcp.13960

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN： 0306-5251            Impact factor:   4.335


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  33 in total

1.  Tacrolimus pharmacokinetics in the early post-liver transplantation period and clinical applicability via Bayesian prediction.

Authors:  Itziar Oteo; John C Lukas; Nerea Leal; Elena Suarez; Andres Valdivieso; Mikel Gastaca; Jorge Ortiz de Urbina; Rosario Calvo
Journal:  Eur J Clin Pharmacol       Date:  2012-06-03       Impact factor: 2.953

2.  Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models.

Authors:  Martin Bergstrand; Andrew C Hooker; Johan E Wallin; Mats O Karlsson
Journal:  AAPS J       Date:  2011-02-08       Impact factor: 4.009

3.  A population pharmacokinetic study of tacrolimus in healthy Chinese volunteers and liver transplant patients.

Authors:  Yan-xia Lu; Qing-hong Su; Ke-hua Wu; Yu-peng Ren; Liang Li; Tian-yan Zhou; Wei Lu
Journal:  Acta Pharmacol Sin       Date:  2014-12-15       Impact factor: 6.150

4.  Lessons from routine dose adjustment of tacrolimus in renal transplant patients based on global exposure.

Authors:  Franck Saint-Marcoux; Jean-Baptiste Woillard; Camille Jurado; Pierre Marquet
Journal:  Ther Drug Monit       Date:  2013-06       Impact factor: 3.681

5.  Limited sampling strategies for tacrolimus exposure (AUC0-24) prediction after Prograf(®) and Advagraf(®) administration in children and adolescents with liver or kidney transplants.

Authors:  Gonzalo N Almeida-Paulo; Rubin Lubomirov; Nazareth Laura Alonso-Sanchez; Laura Espinosa-Román; Carlota Fernández Camblor; Carmen Díaz; Gema Muñoz Bartola; Antonio J Carcas-Sansuán
Journal:  Transpl Int       Date:  2014-06-24       Impact factor: 3.782

6.  An HPLC/MS/MS assay for tacrolimus in patient blood samples. Correlation with results of an ELISA assay.

Authors:  A M Alak; S Moy; M Cook; P Lizak; A Niggebiugge; S Menard; A Chilton
Journal:  J Pharm Biomed Anal       Date:  1997-09       Impact factor: 3.935

7.  Population Pharmacokinetics and Bayesian Estimators for Refined Dose Adjustment of a New Tacrolimus Formulation in Kidney and Liver Transplant Patients.

Authors:  Jean-Baptiste Woillard; Jean Debord; Caroline Monchaud; Franck Saint-Marcoux; Pierre Marquet
Journal:  Clin Pharmacokinet       Date:  2017-12       Impact factor: 6.447

8.  Tacrolimus predose concentrations do not predict the risk of acute rejection after renal transplantation: a pooled analysis from three randomized-controlled clinical trials(†).

Authors:  R Bouamar; N Shuker; D A Hesselink; W Weimar; H Ekberg; B Kaplan; C Bernasconi; T van Gelder
Journal:  Am J Transplant       Date:  2013-03-08       Impact factor: 8.086

9.  Population pharmacokinetic modelling and design of a Bayesian estimator for therapeutic drug monitoring of tacrolimus in lung transplantation.

Authors:  Caroline Monchaud; Brenda C de Winter; Christiane Knoop; Marc Estenne; Martine Reynaud-Gaubert; Christophe Pison; Marc Stern; Romain Kessler; Romain Guillemain; Pierre Marquet; Annick Rousseau
Journal:  Clin Pharmacokinet       Date:  2012-03-01       Impact factor: 6.447

10.  Population pharmacokinetics and Bayesian estimation of tacrolimus exposure in paediatric liver transplant recipients.

Authors:  Nastya Kassir; Line Labbé; Jean-Romain Delaloye; Mohamad-Samer Mouksassi; Anne-Laure Lapeyraque; Fernando Alvarez; Michel Lallier; Mona Beaunoyer; Yves Théorêt; Catherine Litalien
Journal:  Br J Clin Pharmacol       Date:  2014-06       Impact factor: 4.335
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  3 in total

1.  Population pharmacokinetic model and Bayesian estimator for 2 tacrolimus formulations in adult liver transplant patients.

Authors:  Camille Riff; Jean Debord; Caroline Monchaud; Pierre Marquet; Jean-Baptiste Woillard
Journal:  Br J Clin Pharmacol       Date:  2019-06-14       Impact factor: 4.335

2.  Partnering with Clinical Pharmacologists to Improve Medication Use in Children.

Authors:  Shogo John Miyagi; Edwin Lam; Sonya Tang Girdwood
Journal:  J Pediatr       Date:  2020-12       Impact factor: 4.406

3.  Population pharmacokinetics and pharmacogenomics of tacrolimus in Chinese children receiving a liver transplant: initial dose recommendation.

Authors:  Xiao Chen; Dong-Dong Wang; Hong Xu; Zhi-Ping Li
Journal:  Transl Pediatr       Date:  2020-10
  3 in total

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