Literature DB >> 15167630

Dose adjustment strategy for oral microemulsion formulation of cyclosporine: population pharmacokinetics-based analysis in kidney transplant patients.

Kenji Tokui1, Tsukasa Kimata, Kazuharu Uchida, Hiroaki Yuasa, Yayoi Hayashi, Takeharu Itatsu, Toshitaka Nabeshima.   

Abstract

The present study aims to determine the population pharmacokinetic parameters of cyclosporine (CsA) after multiple oral administration of the microemulsion formulation, Neoral, in kidney transplant patients and to propose a limited sampling strategy to predict AUC(0-4h) using them and the Bayesian method. The AUC(0-4h) is a parameter that has recently been recommended as an index for the dose adjustment in therapeutic drug monitoring of CsA. Blood samples were obtained at the trough level and at hourly intervals up to 5 hours from 125 patients (78 male and 47 female) who were receiving Neoral twice daily, and whole-blood concentrations of CsA were measured. The population pharmacokinetic parameters were estimated using the NONMEM computer program and a linear two-compartment model with first-order absorption. The observed AUC0-4h and concentrations at different sampling times were compared with those computer-predicted by the Bayesian method, using the population pharmacokinetic parameters and 2 or 3 concentrations from those at 0 h (C(0)), 1 h (C(1)), and 2 h (C(2)) after administration. Typical values for the absorption rate constant (k(a)), elimination rate constant (k(el)), apparent volume of distribution for the central compartment (Vd/F), and oral clearance (CL/F) calculated by population pharmacokinetic analysis were 2.16 hours(-1), 0.547 hours(-1), 43.3 L, and 23.7 L/h, respectively. The CsA concentrations predicted using either the 2-point or 3-point sampling strategy exhibited an excellent correlation with the observed values (R(2) > 0.81), and accordingly, the predicted AUC(0-4h) values were in excellent agreement with those observed. The best predictability of AUC(0-4h) was found for the 3-point sampling strategy using C(0), C(1), and C(2), closely followed by a 2-point sampling strategy using C(1) and C(2). The present findings suggest that a simplified strategy based on population pharmacokinetics can accurately predict AUC(0-4h) from concentrations at 2 or 3 sampling time points, providing an excellent method for the daily dose adjustment of Neoral in routine clinical use for kidney transplant patients.

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Year:  2004        PMID: 15167630     DOI: 10.1097/00007691-200406000-00012

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


  5 in total

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Authors:  Ling Xue; Wen-Juan Zhang; Ji-Xin Tian; Lin-Na Liu; Hai-Hong Yan; Wen-Wen Zhang; Xiao-Liang Ding; Jing-Jing Zhang; Li-Yan Miao
Journal:  Pharm Res       Date:  2019-12-23       Impact factor: 4.200

2.  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

3.  External evaluation of population pharmacokinetic models for ciclosporin in adult renal transplant recipients.

Authors:  Jun-Jun Mao; Zheng Jiao; Hwi-Yeol Yun; Chen-Yan Zhao; Han-Chao Chen; Xiao-Yan Qiu; Ming-Kang Zhong
Journal:  Br J Clin Pharmacol       Date:  2017-11-03       Impact factor: 4.335

4.  Early non-steady-state population pharmacokinetics of oral cyclosporine in renal transplant recipients.

Authors:  Hyunjeong Baek; Seunghoon Han; Dong-Seok Yim; Sung Joo Kim; Soo-Youn Lee; Hye Ryoun Jang; Jung Eun Lee; Dae Joong Kim; Yoon-Goo Kim; Ha Young Oh; Wooseong Huh
Journal:  Drug Des Devel Ther       Date:  2014-11-07       Impact factor: 4.162

5.  Dodecanol, metabolite of entomopathogenic fungus Conidiobolus coronatus, affects fatty acid composition and cellular immunity of Galleria mellonella and Calliphora vicina.

Authors:  Michalina Kazek; Agata Kaczmarek; Anna Katarzyna Wrońska; Mieczysława Irena Boguś
Journal:  Sci Rep       Date:  2021-08-05       Impact factor: 4.379

  5 in total

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