Literature DB >> 12698308

Limited sampling strategies using Bayesian estimation or multilinear regression for cyclosporin AUC(0-12) monitoring in cardiac transplant recipients over the first year post-transplantation.

C Monchaud1, A Rousseau, F Leger, O J David, J Debord, T Dantoine, P Marquet.   

Abstract

OBJECTIVE: The aim of this study was to develop routinely applicable limited sampling strategies for assessing cyclosporin (CsA) AUC(0-12 h), and possibly other exposure indices such as AUC(0-4 h) and C(max), in heart transplant patients over the first year post-transplantation.
METHODS: First, the individual pharmacokinetics (PKs) of 14 adult heart-transplant patients receiving Neoral were assessed at three post-transplantation periods, at the end of the first week (W1), the third month (M3) and the first year (Y1). To fit blood concentrations, a PK model specially developed for oral CsA was applied. Second, two statistical methods were compared for AUC(0-12 h) estimation using a limited sampling strategy (maximum of three blood samples): multiple regression analysis (MR) and Bayesian estimation (BE).
RESULTS: No significant difference was observed between the individual PK parameters at M3 and Y1, so population modelling was performed taking as a whole the concentration data collected at M3 and Y1. On the contrary, a significant difference ( P<0.05) was found for the C2/dose ratio between W1 and M3 and between W1 and Y1 (mean+/-SD =5.47+/-2.33; 7.78+/-1.05; 6.98+/-2.17 ml(-1 )for W1, M3 and Y1, respectively). Also, C(max)/dose and A were found significantly lower at W1 than at M3 ( P<0.01 and P<0.005, respectively), while lambda(1) was significantly higher at W1 than at both M3 and Y1 ( P<0.01). Using three sampling times (t0 h, t1 h and t3 h), BE allowed an accurate prediction of AUC(0-12 h) (mean bias =3.06+/-12.16%; +1.50+/-1.61%; and -0.20+/-11.42% at W1, M3 and Y1, respectively), AUC(0-4 h )and C(max). MR led to satisfactory estimation of AUC(0-12 h) using only two blood samples collected 2 h and 6 h post-dose (R=0.956-0.993; bias =-5.22 to +4.41; precision =6.38 to 9.90%), but this method is unable to estimate any other exposure index and requires strict respect of sampling times, contrary to BE.
CONCLUSION: Neoral monitoring based on full or abbreviated AUC is possible using BE or MR in heart transplant patients over the first year post-transplantation. BE provides a good description of the individual PK profiles and thus might be useful not only in case of potential discrepancies between C2 and clinical findings, but also for clinical trials aimed at finding optimum PK monitoring in heart recipients.

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Year:  2003        PMID: 12698308     DOI: 10.1007/s00228-003-0559-5

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  22 in total

1.  Application of a gamma model of absorption to oral cyclosporin.

Authors:  J Debord; E Risco; M Harel; Y Le Meur; M Büchler; G Lachâtre; C Le Guellec; P Marquet
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

2.  Estimation of mean relative bioavailability of cyclosporine Sandimmune and Neoral using NONMEM in renal transplant recipients.

Authors:  K L Lee; K T Lee; H M Chung; Y P Lin
Journal:  Transplant Proc       Date:  1998-11       Impact factor: 1.066

3.  Comparative bioavailability of Neoral and Sandimmune in cardiac transplant recipients over 1 year.

Authors:  G F Cooney; V Jeevanandam; S Choudhury; G Feutren; E A Mueller; H J Eisen
Journal:  Transplant Proc       Date:  1998-08       Impact factor: 1.066

Review 4.  Optimization of cyclosporine therapy with new therapeutic drug monitoring strategies: report from the International Neoral TDM Advisory Consensus Meeting (Vancouver, November 1997).

Authors:  P Keown; B D Kahan; A Johnston; G Levy; S P Dunn; F Cittero; J M Grino; P F Hoyer; P Wolf; P F Halloran
Journal:  Transplant Proc       Date:  1998-08       Impact factor: 1.066

Review 5.  Lake Louise Consensus Conference on cyclosporin monitoring in organ transplantation: report of the consensus panel.

Authors:  M Oellerich; V W Armstrong; B Kahan; L Shaw; D W Holt; R Yatscoff; A Lindholm; P Halloran; K Gallicano; K Wonigeit
Journal:  Ther Drug Monit       Date:  1995-12       Impact factor: 3.681

6.  Some suggestions for measuring predictive performance.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharmacokinet Biopharm       Date:  1981-08

Review 7.  Limited sampling strategies for estimating cyclosporin area under the concentration-time curve: review of current algorithms.

Authors:  O J David; A Johnston
Journal:  Ther Drug Monit       Date:  2001-04       Impact factor: 3.681

8.  Comparison of several approaches of therapeutic drug monitoring of cyclosporin A based on individual pharmacokinetics.

Authors:  R Wacke; B Rohde; G Engel; G Kundt; E M Hehl; R Bast; H Seiter; B Drewelow
Journal:  Eur J Clin Pharmacol       Date:  2000-04       Impact factor: 2.953

Review 9.  Methods for clinical monitoring of cyclosporin in transplant patients.

Authors:  R J Dumont; M H Ensom
Journal:  Clin Pharmacokinet       Date:  2000-05       Impact factor: 6.447

10.  Two-hour cyclosporine level determination is the appropriate tool to monitor Neoral therapy.

Authors:  M Cantarovich; J G Besner; J S Barkun; E Elstein; R Loertscher
Journal:  Clin Transplant       Date:  1998-06       Impact factor: 2.863

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  12 in total

1.  Limited sampling strategy models for estimating the AUC of gliclazide in Chinese healthy volunteers.

Authors:  Ji-Han Huang; Kun Wang; Xiao-Hui Huang; Ying-Chun He; Lu-Jin Li; Yu-Cheng Sheng; Juan Yang; Qing-Shan Zheng
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2012-05-26       Impact factor: 2.441

2.  Bayesian estimation of cyclosporin exposure for routine therapeutic drug monitoring in kidney transplant patients.

Authors:  Hélène Bourgoin; Gilles Paintaud; Matthias Büchler; Yvon Lebranchu; Elisabeth Autret-Leca; France Mentré; Chantal Le Guellec
Journal:  Br J Clin Pharmacol       Date:  2005-01       Impact factor: 4.335

3.  Pharmacokinetic study of tacrolimus in cystic fibrosis and non-cystic fibrosis lung transplant patients and design of Bayesian estimators using limited sampling strategies.

Authors:  Franck Saint-Marcoux; Christiane Knoop; Jean Debord; Philippe Thiry; Annick Rousseau; Marc Estenne; Pierre Marquet
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

Review 4.  Pharmacokinetic optimization of immunosuppressive therapy in thoracic transplantation: part II.

Authors:  Caroline Monchaud; Pierre Marquet
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

Review 5.  Pharmacokinetic optimization of immunosuppressive therapy in thoracic transplantation: part I.

Authors:  Caroline Monchaud; Pierre Marquet
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

6.  Patient characteristics influencing ciclosporin pharmacokinetics and accurate Bayesian estimation of ciclosporin exposure in heart, lung and kidney transplant patients.

Authors:  Franck Saint-Marcoux; Pierre Marquet; Evelyne Jacqz-Aigrain; Nicole Bernard; Philippe Thiry; Yann Le Meur; Annick Rousseau
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

7.  Population pharmacokinetics and dosing recommendations for cisplatin during intraperitoneal peroperative administration: development of a limited sampling strategy for toxicity risk assessment.

Authors:  Bernard Royer; Vincent Jullien; Emmanuel Guardiola; Bruno Heyd; Bruno Chauffert; Jean-Pierre Kantelip; Xavier Pivot
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

8.  Pharmacokinetic study of mycophenolate mofetil in patients with systemic lupus erythematosus and design of Bayesian estimator using limited sampling strategies.

Authors:  Noël Zahr; Zahir Amoura; Jean Debord; Jean-Sébastien Hulot; Franck Saint-Marcoux; Pierre Marquet; Jean Charles Piette; Philippe Lechat
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

9.  Ciclosporin population pharmacokinetics and Bayesian estimation in thoracic transplant recipients.

Authors:  Dorothée Fruit; Annick Rousseau; Catherine Amrein; Florence Rollé; Nassim Kamar; Laurent Sebbag; Michel Redonnet; Eric Epailly; Pierre Marquet; Aurélie Prémaud
Journal:  Clin Pharmacokinet       Date:  2013-04       Impact factor: 6.447

Review 10.  A systematic review of limited sampling strategies for platinum agents used in cancer chemotherapy.

Authors:  Gabriel W Loh; Lillian S L Ting; Mary H H Ensom
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

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