OBJECTIVE: To define the pharmacokinetic behaviour of cefepime in neonates with severe nosocomial infections using a mixed effects model. PATIENTS AND METHODS: Thirty-one newborn infants were included in the study; 10 additional infants participated in the validation of the pharmacokinetic model. Cefepime CL and V were determined using an open monocompartmental model with first-order elimination. The influence of demographic and clinical characteristics on the model was evaluated. The non-linear mixed effect model (nonmem) program was used to determine the pharmacokinetic population model. RESULTS: The mean corrected gestational age for infants participating in the construction and validation of the model were 35 and 33 weeks, respectively. Factors included in the final pharmacokinetic model were body surface area (BSA) and calculated CL(CR). The final population model was CL (L/h) = 0.457 BSA (m(2)) + 0.243 CL(CR) (L/h) and V(L) = 4.12 BSA (m(2)). This model explains 33.3% of the interindividual variability for CL and 12.8% for V. This model was validated in ten neonates with nosocomial infections by assessing the predictive capacity of plasma cefepime concentrations using a priori and Bayesian strategies. CONCLUSIONS: The predictive performance of this population model for cefepime plasma concentrations was adequate for clinical purposes and can be used for individualizing cefepime therapy in newborn infants with severe infections. Cefepime plasma concentrations can be predicted based on BSA and calculated CL(CR). Cefepime therapy using a 250 mg/m(2) dose administered every 12 h is adequate to achieve plasma concentrations greater than 8 mug/mL during more than 60% of the dosing interval and is expected to be effective in the treatment of bloodstream infections caused by most gram negative organisms in newborn infants. A dose of 550 mg/m(2) would be required for the treatment of infections caused by Pseudomonas sp.
OBJECTIVE: To define the pharmacokinetic behaviour of cefepime in neonates with severe nosocomial infections using a mixed effects model. PATIENTS AND METHODS: Thirty-one newborn infants were included in the study; 10 additional infants participated in the validation of the pharmacokinetic model. Cefepime CL and V were determined using an open monocompartmental model with first-order elimination. The influence of demographic and clinical characteristics on the model was evaluated. The non-linear mixed effect model (nonmem) program was used to determine the pharmacokinetic population model. RESULTS: The mean corrected gestational age for infants participating in the construction and validation of the model were 35 and 33 weeks, respectively. Factors included in the final pharmacokinetic model were body surface area (BSA) and calculated CL(CR). The final population model was CL (L/h) = 0.457 BSA (m(2)) + 0.243 CL(CR) (L/h) and V(L) = 4.12 BSA (m(2)). This model explains 33.3% of the interindividual variability for CL and 12.8% for V. This model was validated in ten neonates with nosocomial infections by assessing the predictive capacity of plasma cefepime concentrations using a priori and Bayesian strategies. CONCLUSIONS: The predictive performance of this population model for cefepime plasma concentrations was adequate for clinical purposes and can be used for individualizing cefepime therapy in newborn infants with severe infections. Cefepime plasma concentrations can be predicted based on BSA and calculated CL(CR). Cefepime therapy using a 250 mg/m(2) dose administered every 12 h is adequate to achieve plasma concentrations greater than 8 mug/mL during more than 60% of the dosing interval and is expected to be effective in the treatment of bloodstream infections caused by most gram negative organisms in newborn infants. A dose of 550 mg/m(2) would be required for the treatment of infections caused by Pseudomonas sp.
Authors: Julie Autmizguine; Daniel K Benjamin; P Brian Smith; Mario Sampson; Philippe Ovetchkine; Michael Cohen-Wolkowiez; Kevin M Watt Journal: Curr Clin Pharmacol Date: 2014
Authors: Samuel Dubinsky; Kevin Watt; Steven Saleeb; Bilal Ahmed; Caitlin Carter; Cindy H T Yeung; Andrea Edginton Journal: Clin Pharmacokinet Date: 2021-11-30 Impact factor: 6.447
Authors: Gwendolyn M Pais; Jack Chang; Erin F Barreto; Gideon Stitt; Kevin J Downes; Mohammad H Alshaer; Emily Lesnicki; Vaidehi Panchal; Maria Bruzzone; Argyle V Bumanglag; Sara N Burke; Marc H Scheetz Journal: Clin Pharmacokinet Date: 2022-06-29 Impact factor: 5.577
Authors: Anthony M Nicasio; Robert E Ariano; Sheryl A Zelenitsky; Aryun Kim; Jared L Crandon; Joseph L Kuti; David P Nicolau Journal: Antimicrob Agents Chemother Date: 2009-02-02 Impact factor: 5.191
Authors: Kensuke Shoji; John S Bradley; Michael D Reed; John N van den Anker; Christine Domonoske; Edmund V Capparelli Journal: Antimicrob Agents Chemother Date: 2016-03-25 Impact factor: 5.191