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Summary: Objectives: This study evaluated the efficacy of the pharmacokinetic/pharmacodynamic (PK/PD) index for increasing the success rate of linezolid treatment based on Monte Carlo simulation, and compared differences between the calculated PK/PD breakpoints and those defined by committee for critically ill patients with linezolid treatment. Methods: A Monte Carlo simulation involving 10000 subjects was used to analyze the pharmacokinetic parameters and microbiological data of linezolid for an effectiveness evaluation at the corresponding AUC24/MIC values (area under the serum concentration–time curve over 24h/minimum inhibitory concentration). Results: As the PK/PD index of linezolid increased from 80 to 120, the corresponding probability of target attainment (PTA) decreased from 99.91% to 18.97%, with a MIC of 2mg/l. Furthermore, the cumulative fraction of response (CFR) reached <90% for several pathogens at an AUC24/MIC of 100–120, revealing a relatively lower efficacy with recommended linezolid dosing. Conclusions: These findings reveal that the target AUC24/MIC value of 80–120 requires further classification for more accurate assessment of the linezolid dose regimen. At a MIC of ≥2mg/l, the clinical outcome varies greatly for different AUC24/MIC values when applying the same dose of linezolid. In such cases, we suggest optimized adjustment of the linezolid dosage regimen. [Copyright &y& Elsevier]

Summary: Background: The number of reported cases of resistance to tigecycline is increasing. The aim of this study was to evaluate the current standard tigecycline dosage regimen from a pharmacokinetic/pharmacodynamic (PK/PD) perspective. Methods: Pharmacokinetic parameters and microbiological data were analyzed by Monte Carlo simulation in an evaluation of effectiveness. Results: Tigecycline exhibits excellent in vitro antimicrobial activity, however the standard tigecycline dosing regimen fails to achieve the best outcome in vivo for the common drug-resistant strains, including Acinetobacter baumannii, Enterobacter spp, and Klebsiella pneumoniae. This may result in a lack of response to tigecycline therapy or to a further increase in the resistance rate. Conclusions: In the absence of new drugs on the horizon, rather than using a single fixed dosing regimen, tigecycline dosing needs to be optimized in order to achieve the desired successful clinical response and to prevent an escalation in drug resistance. [ABSTRACT FROM AUTHOR]