OBJECTIVES: Our objectives were (1) to develop a population pharmacokinetic model for cyclophosphamide, 4-hydroxycyclophosphamide, and carboxyethylphosphoramide mustard (a reporter for nonrelapse mortality) in hematopoietic stem cell transplantation patients and (2) to validate a Bayesian approach to dosing. METHODS: In this study 147 patients received intravenous infusions of 60 mg. kg -1. d -1 cyclophosphamide for 2 days, followed by 12 to 14.4 Gy total body irradiation. A population model was developed to fit concentration-time data of cyclophosphamide and metabolites. Bayesian prediction of the area under the curve (AUC) was validated by dividing the data set into an index set (98 patients) and validation set (49 patients). Parameters from the index data set were used as priors. RESULTS: Cyclophosphamide elimination was best described by noninducible and inducible routes producing 4-hydroxycyclophosphamide. Induction was described by a zero-order maximum fold of induction-type increase in enzyme level. The prediction of the AUC of carboxyethylphosphoramide mustard was clinically accurate and precise (mean prediction error = -3.5% and root mean squared prediction error = 12.2%) with data limited to 5 to 6 points obtained in the first 16 hours. However, the AUC of 4-hydroxycyclophosphamide was overestimated (mean prediction error = 16.9%-23.6%). Several alternative models did not improve the result. CONCLUSION: The integrated mechanism-based model describes the pharmacokinetics of cyclophosphamide and carboxyethylphosphoramide mustard. Accurate modeling of 4-hydroxycyclophosphamide is limited by its chemical instability. Exposure to carboxyethylphosphoramide mustard could be accurately and precisely predicted with minimal data obtained over a 16-hour period after the first dose, offering the potential of pharmacokinetically guided dosing to reduce the nonrelapse mortality rate.
OBJECTIVES: Our objectives were (1) to develop a population pharmacokinetic model for cyclophosphamide, 4-hydroxycyclophosphamide, and carboxyethylphosphoramide mustard (a reporter for nonrelapse mortality) in hematopoietic stem cell transplantation patients and (2) to validate a Bayesian approach to dosing. METHODS: In this study 147 patients received intravenous infusions of 60 mg. kg -1. d -1 cyclophosphamide for 2 days, followed by 12 to 14.4 Gy total body irradiation. A population model was developed to fit concentration-time data of cyclophosphamide and metabolites. Bayesian prediction of the area under the curve (AUC) was validated by dividing the data set into an index set (98 patients) and validation set (49 patients). Parameters from the index data set were used as priors. RESULTS:Cyclophosphamide elimination was best described by noninducible and inducible routes producing 4-hydroxycyclophosphamide. Induction was described by a zero-order maximum fold of induction-type increase in enzyme level. The prediction of the AUC of carboxyethylphosphoramide mustard was clinically accurate and precise (mean prediction error = -3.5% and root mean squared prediction error = 12.2%) with data limited to 5 to 6 points obtained in the first 16 hours. However, the AUC of 4-hydroxycyclophosphamide was overestimated (mean prediction error = 16.9%-23.6%). Several alternative models did not improve the result. CONCLUSION: The integrated mechanism-based model describes the pharmacokinetics of cyclophosphamide and carboxyethylphosphoramide mustard. Accurate modeling of 4-hydroxycyclophosphamide is limited by its chemical instability. Exposure to carboxyethylphosphoramide mustard could be accurately and precisely predicted with minimal data obtained over a 16-hour period after the first dose, offering the potential of pharmacokinetically guided dosing to reduce the nonrelapse mortality rate.
Authors: J S McCune; A Batchelder; K A Guthrie; R Witherspoon; F R Appelbaum; B Phillips; P Vicini; D H Salinger; G B McDonald Journal: Clin Pharmacol Ther Date: 2009-03-18 Impact factor: 6.875
Authors: Andrew R Rezvani; Jeannine S McCune; Barry E Storer; Ami Batchelder; Aiko Kida; H Joachim Deeg; George B McDonald Journal: Biol Blood Marrow Transplant Date: 2013-04-10 Impact factor: 5.742
Authors: Jeannine S McCune; David H Salinger; Paolo Vicini; Celeste Oglesby; David K Blough; Julie R Park Journal: J Clin Pharmacol Date: 2008-10-16 Impact factor: 3.126
Authors: Olivia Campagne; Bo Zhong; Sreenath Nair; Tong Lin; Jie Huang; Arzu Onar-Thomas; Giles Robinson; Amar Gajjar; Clinton F Stewart Journal: Clin Cancer Res Date: 2019-12-03 Impact factor: 12.531
Authors: Jeannine S McCune; Ryotaro Nakamura; Denis O'Meally; Timothy W Randolph; Brenda M Sandmaier; Aleksandra Karolak; David Hockenbery; Sandi L Navarro Journal: Clin Transl Sci Date: 2022-02-20 Impact factor: 4.438