Literature DB >> 19531982

Population pharmacokinetics of tacrolimus in pediatric hematopoietic stem cell transplant recipients: new initial dosage suggestions and a model-based dosage adjustment tool.

Johan E Wallin1, Lena E Friberg, Anders Fasth, Christine E Staatz.   

Abstract

The population pharmacokinetics of tacrolimus was described in 22 pediatric hematopoietic stem cell transplant recipients, and a model-based dosage adjustment tool that may assist with therapy in new patients was developed. Patients received tacrolimus by continuous intravenous (IV) infusion (0.03 mg x kg(-1) x d(-1)) starting 2 days before transplantation, with conversion to oral therapy 2-3 weeks after transplant. Population pharmacokinetic analysis was performed using NONMEM. A Bayesian dosage adjustment tool that searches for individual parameter estimates to describe concentration measurements, counterbalanced by the final population model, was created in Excel. Typical clearance was 106 mL x h(-1) x kg(-0.75), typical distribution volume was 3.71 L/kg, and typical bioavailability was 15.7%. Tacrolimus clearance decreased with increasing serum creatinine, and bioavailability decreased with postoperative day. A Bayesian dosage adjustment tool capable of suggesting an initial infusion rate based on patient covariate values and devising a further individualized dosage regimen as drug concentration measures become available was developed. Predictions from the model showed that current IV dose recommendations of 0.03 mg x kg(-1) x d(-1) may potentially produce toxic drug concentrations in this patient population, whereas current oral conversion of 4 times the adjusted IV dose may lead to subtherapeutic concentrations. A more suitable infusion rate to obtain a steady state concentration of 12 ng/mL was predicted to be 0.035 mg x kg(-0.75) x (-1)d. An additional loading dose of 0.07 mg x kg(-1) x d(-1) (total dose: 0.07 mg x kg(-1) x d(-1) + 0.035 mg x kg(-0.75) x d(-1)) during the first 24 hours of therapy should allow rapid achievement of steady state concentrations. A conversion factor of 6 from IV to enteric therapy may be more suitable. Such dosage recommendations may be site specific. The appropriateness of targets was not investigated in this study. The Bayesian dosing adjustment tool and suggested dose recommendations need to be evaluated in a prospective study before they can be applied in the clinical setting.

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Year:  2009        PMID: 19531982     DOI: 10.1097/FTD.0b013e3181aab02b

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  16 in total

1.  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

Review 2.  Immune reconstitution and outcomes after conditioning with anti-thymocyte-globulin in unrelated cord blood transplantation; the good, the bad, and the ugly.

Authors:  Coco de Koning; Rick Admiraal; Stefan Nierkens; Jaap Jan Boelens
Journal:  Stem Cell Investig       Date:  2017-05-16

3.  Factors associated with optimized tacrolimus dosing in hematopoietic stem cell transplantation.

Authors:  Allison R Butts; Victoria T Brown; Lauren D McBride; Javier Bolaños-Meade; Amy W Bryk
Journal:  J Oncol Pharm Pract       Date:  2015-03-22       Impact factor: 1.809

4.  Adaptive trials in paediatric development: dealing with heterogeneity and uncertainty in pharmacokinetic differences in children.

Authors:  Massimo Cella; Meindert Danhof; Oscar Della Pasqua
Journal:  Br J Clin Pharmacol       Date:  2012-08       Impact factor: 4.335

5.  Population Pharmacokinetics and Initial Dosage Optimization of Tacrolimus in Pediatric Hematopoietic Stem Cell Transplant Patients.

Authors:  Xiao-Lin Liu; Yan-Ping Guan; Ying Wang; Ke Huang; Fu-Lin Jiang; Jian Wang; Qi-Hong Yu; Kai-Feng Qiu; Min Huang; Jun-Yan Wu; Dun-Hua Zhou; Guo-Ping Zhong; Xiao-Xia Yu
Journal:  Front Pharmacol       Date:  2022-07-06       Impact factor: 5.988

Review 6.  Pediatric Clinical Pharmacology of Voriconazole: Role of Pharmacokinetic/Pharmacodynamic Modeling in Pharmacotherapy.

Authors:  Rajendra S Kadam; Johannes N Van Den Anker
Journal:  Clin Pharmacokinet       Date:  2016-09       Impact factor: 6.447

7.  Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach.

Authors:  Tom M Nanga; Thao T P Doan; Pierre Marquet; Flora T Musuamba
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       Impact factor: 4.335

8.  Risk Factors for Subtherapeutic Tacrolimus Levels after Conversion from Continuous Intravenous Infusion to Oral in Children after Allogeneic Hematopoietic Cell Transplantation.

Authors:  Michelle Kolb; Katharine Offer; Zhezhen Jin; Justine Kahn; Monica Bhatia; Andrew L Kung; James H Garvin; Diane George; Prakash Satwani
Journal:  Biol Blood Marrow Transplant       Date:  2016-02-13       Impact factor: 5.742

Review 9.  Pharmacokinetics, Pharmacodynamics and Pharmacogenomics of Immunosuppressants in Allogeneic Haematopoietic Cell Transplantation: Part I.

Authors:  Jeannine S McCune; Meagan J Bemer
Journal:  Clin Pharmacokinet       Date:  2016-05       Impact factor: 6.447

Review 10.  Population Pharmacokinetics of Tacrolimus in Transplant Recipients: What Did We Learn About Sources of Interindividual Variabilities?

Authors:  Olivia Campagne; Donald E Mager; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-10-29       Impact factor: 3.126

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