Population pharmacokinetics of thioTEPA and its active metabolite TEPA in patients undergoing high-dose chemotherapy

Citation
Adr. Huitema et al., Population pharmacokinetics of thioTEPA and its active metabolite TEPA in patients undergoing high-dose chemotherapy, BR J CL PH, 51(1), 2001, pp. 61-70
Citations number
40
Categorie Soggetti
Pharmacology,"Pharmacology & Toxicology
Journal title
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
ISSN journal
03065251 → ACNP
Volume
51
Issue
1
Year of publication
2001
Pages
61 - 70
Database
ISI
SICI code
0306-5251(200101)51:1<61:PPOTAI>2.0.ZU;2-I
Abstract
Aims To study the population pharmacokinetics of thio TEPA and its main met abolite TEPA in patients receiving high-dose chemotherapy consisting of thi oTEPA (80-120 mg m(-2) day(-1)), cyclophosphamide (1000-1500 mg m(-2) day(- 1)) and carboplatin (265-400 mg m(-2) day(-1)) for 4 days. Methods ThioTEPA and TEPA kinetic data were processed with a two-compartmen t model using the nonlinear mixed effect modelling program NONMEM. Interind ividual variability (IIV), interoccasion variability (IOV) and residual var iability in the pharmacokinetics were estimated. The influence of patient c haracteristics on the pharmacokinetics was also determined. Results A total number of 40 patients receiving 65 courses of chemotherapy was included. Clearance of thioTEPA (CL) was 34 l h(-1) with an IIV and IOV of 18 and 11%, respectively. The volume of distribution of thioTEPA was 47 1 (IIV=7.5%; IOV = 19%). The fraction of thioTEPA converted to TEPA divide d by the volume of distribution of TEPA was 0.030 l(-1) (IIV = 39%; IOV = 3 2%) and the elimination rate constant of TEPA was 0.64 h(-1) (IIV=27%; IOV= 32%). CL of thioTEPA was correlated with alkaline phosphatase and serum alb umin. The volume of distribution of thioTEPA and the elimination rate const ant of TEPA were correlated with total protein levels and body weight, resp ectively. Conclusions A model for the description of the pharmacokinetics of thioTEPA and TEPA was developed. Factors involved in the interpatient variability o f thio TEPA and TEPA pharmacokinetics were identified. Since, IOV of both t hioTEPA and TEPA was equal to or smaller than IIV, therapeutic drug monitor ing based on data of previous courses may be meaningful using this populati on model.