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
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.