Changes in the pharmacokinetics of
piperacillin in febrile neutropenic patients have been reported to result in suboptimal exposures. This study aimed to develop a population pharmacokinetic model for
piperacillin and perform dosing simulation to describe optimal dosing regimens for
hematological malignancy patients with
febrile neutropenia. Concentration-time data were obtained from previous prospective observational pharmacokinetic and interventional therapeutic drug monitoring studies. Nonparametric population pharmacokinetic analysis and Monte Carlo dosing simulations were performed with the Pmetrics package for R. A two-compartment model, with between-subject variability for clearance (CL), adequately described the data from 37 patients (21 males, age of 59 ± 12 years [means ± standard deviations] and weight of 77 ± 16 kg). Parameter estimates were CL of 18.0 ± 4.8 liters/h, volume of distribution of the central compartment of 14.3 ± 7.3 liters, rate constant for
piperacillin distribution from the central to peripheral compartment of 1.40 ± 1.35 h-1, and rate constant for
piperacillin distribution from the peripheral to central compartment of 4.99 ± 7.81 h-1 High
creatinine clearance (CLCR) was associated with reduced probability of target attainment (PTA). Extended and continuous infusion regimens achieved a high PTA of >90% for an unbound concentration of
piperacillin remaining above the MIC (fT>MIC) of 50%. Only continuous regimens achieved >90% PTA for 100% fT>MIC when CLCR was high. The cumulative fraction of response (FTA, for fractional target attainment) was suboptimal (<85%) for conventional regimens for both empirical and directed
therapy considering 50% and 100% fT>MIC FTA was maximized with prolonged infusions. Overall, changes in
piperacillin pharmacokinetics and the consequences on therapeutic dosing requirements appear similar to those observed in
intensive care patients. Guidelines should address the altered dosing needs of febrile neutropenic patients exhibiting high CLCR or with known/presumed
infections from high-MIC bacteria.