title: Development of a schedule-dependent population pharmacodynamic model for rhizoxin without quantitation of plasma concentrations.
abstract: In previous phase I reports of short bolus infusion of rhizoxin, problems in assay sensitivity prevented the description of pharmacokinetic-pharmacodynamic relationships, and a pharmacologically guided approach to dose escalation was deemed not feasible. In this report, we describe a mathematical model, which explains the schedule-dependent interpatient pharmacodynamic variability of rhizoxin administered on a continuous infusion schedule. Using patient demographic and toxicity data from 45 patients treated in a phase I dose and duration escalation study of rhizoxin, we sought to model the nadir neutrophil count. We hypothesized that a surrogate derived variable based on dose and duration would reflect a pharmacokinetic parameter that would be a significant covariate. Multiple linear regression analysis was carried out to determine the other significant covariates. Dose/m2 x Log(DUR/ALB) was significantly correlated with the LogANCnadir (Log10 neutrophil nadir; r = 0.56, P < 0.001). Other significant covariates included baseline performance status (PS), baseline serum bilirubin (BIL), and Log10 baseline neutrophil count (LogANCbaseline). Model bias and precision were assessed using the mean prediction error (MPE) and the root mean square error (RMSE) of the ANCnadir, respectively. We constructed 1-4 covariate models. The variability of ANCnadir was modeled with good precision and accuracy with a 4-covariate model (MPE and RMSE 0.113 +/- 0.182 x 10(3) cells/microl and 1.22 x 10(3) cells/microl, respectively). This model should be validated and improved on with further clinical data. We believe that such pharmacodynamic modeling should be explored further to determine its performance and clinical relevance compared with modeling using pharmacokinetic parameters.
authors.affiliation: University of Chicago, Section of Hematology/Oncology, IL 60637-1470, USA.
authors.forename: B C
authors.initials: BC
authors.lastname: Goh
authors.forename: G F
authors.initials: GF
authors.lastname: Fleming
authors.forename: L
authors.initials: L
authors.lastname: Janisch
authors.forename: N J
authors.initials: NJ
authors.lastname: Vogelzang
authors.forename: W M
authors.initials: WM
authors.lastname: Stadler
authors.forename: M J
authors.initials: MJ
authors.lastname: Ratain
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000903:Antibiotics, Antineoplastic / Q000008:administration & dosage / Q000097:blood / Q000493:pharmacokinetics*; D004334:Drug Administration Schedule; D005260:Female; D006801:Humans; D007783:Lactones / Q000008:administration & dosage / Q000097:blood / Q000493:pharmacokinetics; D018942:Macrolides; D008297:Male; D008875:Middle Aged; D008954:Models, Biological
chemical_list: D000903:Antibiotics, Antineoplastic; D007783:Lactones; D018942:Macrolides; C041443:rhizoxin