作者: Yoshitaka Yano , Takaaki Kodawara , Haruyuki Hongo , Ikuko Yano , Yo Kishi
DOI: 10.1002/JPS.21731
关键词:
摘要: We propose a simple and practical modeling approach for analysis of the data myelosuppression after cancer chemotherapy, which can be applied when pharmacokinetic are not available several anticancer drugs were simultaneously administered. The model equation is based on probability density function Erlang distribution. cell counts leukocytes (white blood cell, WBC), platelets (PLT), reticulocytes (RET) obtained in routine clinical laboratory tests ICE (ifosfamide/carboplatin/etoposide) regimen chemotherapy retrospectively collected from 28 patients, population was applied. time course profiles could well explained by proposed model. individual values to reach nadir Bayesian method, their medians (days) 16.8 WBC, 12.8 PLT, 8.2 RET. Such information would useful determine day visit outpatients especially additional treatment prevent side effects such as infections. applicable explain irrespective types, also because it requires only without any burden patients. © 2009 Wiley-Liss, Inc. American Pharmacists Association J Pharm Sci 98:4402–4412,