| Literature DB >> 28189734 |
Hana Suchánková1, Michal Lipš2, Karel Urbánek1, Michael N Neely3, Jan Strojil4.
Abstract
Monte Carlo simulations allow prediction and comparison of concentration-time profiles arising from different dosing regimens in a defined population, provided a population pharmacokinetic model has been established. The aims of this study were to evaluate the population pharmacokinetics of imipenem in critically ill patients with hospital-acquired pneumonia (HAP) and to assess the probability of target attainment (PTA) and cumulative fraction of response (CFR) using EUCAST data. A two-compartment model based on a data set of 19 subjects was employed. Various dosage regimens at 0.5-h and 3-h infusion rates and as continuous infusion were evaluated against the pharmacodynamic targets of 20%fT>MIC, 40%fT>MIC and 100%fT>MIC. For the target of 40%fT>MIC, all 0.5-h infusion regimens achieved optimal exposures (CFR ≥ 90%) against Escherichia coli and Staphylococcus aureus, with nearly optimal exposure against Klebsiella pneumoniae (CFR ≥ 89.4%). The 3-h infusions and continuous infusion exceeded 97% CFR against all pathogens with the exception of Pseudomonas aeruginosa and Acinetobacter spp., where the maximum CFRs were 85.5% and 88.4%, respectively. For the 100%fT>MIC target, only continuous infusion was associated with nearly optimal exposures. Higher PTAs for the targets of 40%fT>MIC and 100%fT>MIC were achieved with 3-h infusions and continuous infusion in comparison with 0.5-h infusions; however, continuous infusion carries a risk of not reaching the MIC of less susceptible pathogens in a higher proportion of patients. In critically ill patients with HAP with risk factors for Gram-negative non-fermenting bacteria, maximum doses administered as extended infusions may be necessary.Entities:
Keywords: Critically ill; Extended infusion; Monte Carlo simulation; Pharmacodynamics; Pharmacokinetics; Pneumonia
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Year: 2017 PMID: 28189734 DOI: 10.1016/j.ijantimicag.2016.12.005
Source DB: PubMed Journal: Int J Antimicrob Agents ISSN: 0924-8579 Impact factor: 5.283