Article: Evaluation of Empirical Dosing Regimens for Meropenem in Intensive Care Unit Patients Using Population Pharmacokinetic Modeling and Target Attainment Analysis
Authors: Guohua An, C Buddy Creech, Nan Wu, Roger L Nation, Kenan Gu, Demet Nalbant, Natalia Jimenez-Truque, William Fissell, Stephanie Rolsma, Pratish C Patel, Amy Watanabe, Nicholas Fishbane, Carl M J Kirkpatrick, Cornelia B Landersdorfer, Patricia Winokur
Journal: Antimicrob Agents Chemother. 2023 Jan 24;67(1):e0131222
Abstract:
In the present study, population pharmacokinetic (PK) analysis was performed based on meropenem data from a prospective study conducted in 114 critically ill patients with a wide range of renal functions and various disease conditions. The final model was a one-compartment model with linear elimination, with creatinine clearance and continuous renal replacement therapy affecting clearance, and total bodyweight impacting the volume of distribution. Our model is a valuable addition to the existing meropenem population PK models, and it could be particularly useful during implementation of a therapeutic drug monitoring program combined with Bayesian forecasting. Based on the final model developed, comprehensive Monte Carlo simulations were performed to evaluate the probability of target attainment (PTA) of 16 different dosing regimens. Simulation results showed that 2 g administered every 8 h with 3-h prolonged infusion (PI) and 4 g/day by continuous infusion (CI) appear to be two empirical dosing regimens that are superior to many other regimens when both target attainment and potential toxicity are considered and renal function information is not available. Following a daily CI dose of 6 g or higher, more than 30% of the population with a creatinine clearance of <60 mL/min is predicted to have neurotoxicity. With the availability of institution- and/or unit-specific meropenem susceptibility patterns, as well as an individual patient’s renal function, our PTA results may represent useful references for physicians to make dosing decisions.
Link to journal online: https://journals.asm.org/doi/10.1128/aac.01312-22