A GENERAL-MODEL FOR TIME-DISSOCIATED PHARMACOKINETIC-PHARMACODYNAMIC RELATIONSHIPS EXEMPLIFIED BY PACLITAXEL MYELOSUPPRESSION

Citation
Mo. Karlsson et al., A GENERAL-MODEL FOR TIME-DISSOCIATED PHARMACOKINETIC-PHARMACODYNAMIC RELATIONSHIPS EXEMPLIFIED BY PACLITAXEL MYELOSUPPRESSION, Clinical pharmacology and therapeutics, 63(1), 1998, pp. 11-25
Citations number
20
Categorie Soggetti
Pharmacology & Pharmacy
ISSN journal
00099236
Volume
63
Issue
1
Year of publication
1998
Pages
11 - 25
Database
ISI
SICI code
0009-9236(1998)63:1<11:AGFTPR>2.0.ZU;2-G
Abstract
Background: Hematologic toxicity after cancer chemotherapy and other d rug effects that occur late compared to the exposure are usually model ed with use of some summary exposure variable such as the area under t he concentration-time curve (AUG model) or the time of exposure above a threshold concentration (threshold model), An underlying assumption for both of these models is that the drug exerts a direct effect while present in the body and that it is the time integral of this direct e ffect that is related to the ultimate observed effect, either linearly (AUG model) or by a step function (threshold model), We propose a mor e general model that allows this relationship to be characterized by a nonlinear continuous function. Methods: Data on survival fraction of neutrophiles and time course of leukopenia from 92 courses of paclitax el therapy in 21 patients with breast or ovarian cancer was related to paclitaxel concentration-time profiles with the AUG, threshold, and g eneral models, The properties of the general model were also investiga ted with use of simulations. Results: For both pharmacodynamic end poi nts, the general model described the data significantly better than th e AUC or threshold models. Conclusion: The general model is an extensi on to the present way of relating concentration-time profiles to late- effect measures, and it may provide an improved description of the con centration-response relationship and more accurate predictions of the ultimate effect when doses and schedules are varied, It can explain co mplex relationships between concentration-time profiles and the observ ed effect, and predictions from it lack some of the counterintuitive p roperties that the AUC or threshold model have when extrapolations are made.