Literature DB >> 18294323

Population pharmacokinetics and exploratory pharmacodynamics of ifosfamide according to continuous or short infusion schedules: an n = 1 randomized study.

Etienne G C Brain1, Kevan Rezai, François Lokiec, Maya Gutierrez, Saïk Urien.   

Abstract

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: * The optimal infusion duration for ifosfamide remains to be determined. * No differences according to time of infusion have been identified in traditional pharmacokinetic endpoints, such as area under the curve. * The impact on pharmacodynamics has never been modelled or correlated with pharmacokinetics. WHAT THIS STUDY ADDS: * The pharmacokinetics and pharmacodynamics of ifosfamide and its main metabolites can both be modelled with no influence of infusion duration. * Pharmacodynamic modelling (renal and haematological toxicity) allows further simulations of new schedules with favourable toxicity profiles. AIMS: To model the pharmacokinetics and pharmacodynamics of ifosfamide and its key metabolites. The pharmacodynamic parameters included were renal toxicity and myelosuppression measured using urinary beta(2)-microglobulin (BMG) and absolute neutrophil count (ANC), respectively.
METHODS: Seventeen patients were enrolled into an n = 1 randomized trial during two consecutive cycles of ifosfamide 9 g m(-2) during each cycle given by a 3 h or 72 h infusion. Data were analyzed using NONMEM.
RESULTS: Ifosfamide and metabolite concentration-time profiles were described by a one-compartment open-model with auto-induction of clearance. BMG and ANC time-courses were related to ifosfamide concentration via indirect response models.
CONCLUSIONS: This modelling allowed the simulation of weekly schedules of flat doses with favourable myelotoxic profiles.

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Year:  2008        PMID: 18294323      PMCID: PMC2291389          DOI: 10.1111/j.1365-2125.2007.03095.x

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


  6 in total

1.  Variations in schedules of ifosfamide administration: a better understanding of its implications on pharmacokinetics through a randomized cross-over study.

Authors:  E G C Brain; K Rezai; S Weill; M F Gauzan; J Santoni; B Besse; A Goupil; F Turpin; S Urien; F Lokiec
Journal:  Cancer Chemother Pharmacol       Date:  2006-11-15       Impact factor: 3.333

2.  Model of chemotherapy-induced myelosuppression with parameter consistency across drugs.

Authors:  Lena E Friberg; Anja Henningsson; Hugo Maas; Laurent Nguyen; Mats O Karlsson
Journal:  J Clin Oncol       Date:  2002-12-15       Impact factor: 44.544

Review 3.  Clinical pharmacokinetics and pharmacodynamics of ifosfamide and its metabolites.

Authors:  T Kerbusch; J de Kraker; H J Keizer; J W van Putten; H J Groen; R L Jansen; J H Schellens; J H Beijnen
Journal:  Clin Pharmacokinet       Date:  2001-01       Impact factor: 6.447

4.  Influence of dose and infusion duration on pharmacokinetics of ifosfamide and metabolites.

Authors:  T Kerbusch; R A Mathôt; H J Keizer; G P Kaijser; J H Schellens; J H Beijnen
Journal:  Drug Metab Dispos       Date:  2001-07       Impact factor: 3.922

5.  Ifosfamide nephrotoxicity in pediatric cancer patients.

Authors:  B S Lee; J H Lee; H G Kang; H Hahn; J H Lee; H Y Shin; I S Ha; H I Cheong; H S Ahn; Y Choi
Journal:  Pediatr Nephrol       Date:  2001-10       Impact factor: 3.714

6.  Pharmacokinetics of "activated" cyclophosphamide and therapeutic efficacies.

Authors:  G Voelcker; T Wagner; C Wientzek; H J Hohorst
Journal:  Cancer       Date:  1984-09-15       Impact factor: 6.860

  6 in total
  5 in total

1.  A simultaneous analysis of the time-course of leukocytes and neutrophils following docetaxel administration using a semi-mechanistic myelosuppression model.

Authors:  Angelica Linnea Quartino; Lena E Friberg; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2010-12-14       Impact factor: 3.850

2.  Predictive ability of a semi-mechanistic model for neutropenia in the development of novel anti-cancer agents: two case studies.

Authors:  Elena Soto; Ron J Keizer; Iñaki F Trocóniz; Alwin D R Huitema; Jos H Beijnen; Jan H M Schellens; Jantien Wanders; Josep María Cendrós; Rosendo Obach; Concepción Peraire; Lena E Friberg; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2010-05-07       Impact factor: 3.850

3.  Time-dependent pharmacokinetics of dexamethasone and its efficacy in human breast cancer xenograft mice: a semi-mechanism-based pharmacokinetic/pharmacodynamic model.

Authors:  Jian Li; Rong Chen; Qing-Yu Yao; Sheng-Jun Liu; Xiu-Yun Tian; Chun-Yi Hao; Wei Lu; Tian-Yan Zhou
Journal:  Acta Pharmacol Sin       Date:  2017-11-09       Impact factor: 6.150

4.  Scaling the time-course of myelosuppression from rats to patients with a semi-physiological model.

Authors:  Lena E Friberg; Marie Sandström; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2009-08-27       Impact factor: 3.850

5.  Dose schedule optimization and the pharmacokinetic driver of neutropenia.

Authors:  Mayankbhai Patel; Santhosh Palani; Arijit Chakravarty; Johnny Yang; Wen Chyi Shyu; Jerome T Mettetal
Journal:  PLoS One       Date:  2014-10-31       Impact factor: 3.240

  5 in total

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