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Updated: Sep 17, 2025
A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
Clinical validation of antimicrobial dosing regimens for continuous renal replacement therapy based on an ex vivo
Christina Koenig1,2, Cole P McGrath1, Hanna F Roenfanz1
1Center for Anti-Infective Research & Development, Hartford Hospital, Hartford, CT, USA.
Background:
Few ex vivo continuous renal replacement therapy (CRRT) studies to determine transmembrane clearance (CLTM) have resulted in direct dosage recommendations for patients on CRRT. Comparing the results of these studies with pharmacokinetic assessments in critically ill patients on CRRT could validate their findings and help guide dosage selection.
Methods:
CLTM was combined with non-renal clearance and used for Monte Carlo simulations to derive an ex vivo dosing algorithm for cefepime, meropenem, levofloxacin and micafungin regimens at varying CRRT effluent rates (ERs). Criteria for optimal dose selection depended on overall exposure (AUC24 h) and drug-specific pharmacodynamic efficacy targets. Plasma collected from CRRT patients, as part of standard care, were analysed and concentrations fitted to pharmacokinetic models. Bayesian estimates were then used to re-simulate selected dosing regimens. Predictive performance of the ex vivo dosing algorithm was assessed by median prediction error (MPE) for AUC24 h at a given dose.
Results:
Ex vivo algorithms demonstrated good performance with MPEs within ±30% for cefepime and meropenem, while for levofloxacin, larger MPE (-22 to -52%) deviations were observed across different ER ranges. For cefepime, meropenem and levofloxacin, optimal attainment of their respective pharmacodynamic target was predicted with the ex vivo algorithm derived dosing regimens. Micafungin displayed no ex vivo CLTM, and standard dosing resulted in AUC24 h values comparable with non-CRRT patients.
Conclusions:
These data support the use of ex vivo CRRT models to develop optimal dosing regimens for a variety of antimicrobials, which could then be validated in clinical trials.
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