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Background: Invasive pulmonary aspergillosis (IPA) is a life-threatening disease in immunosuppressed patients. Voriconazole is commonly used to prevent and treat IPA in the clinic, but the optimal prophylactic antifungal regimen is unknown. The objective of this study was to clarify the mechanism underlying how voriconazole prevents IPA based on a target cellular pharmacokinetics/pharmacodynamics model, with the aim of identifying a way to design an optimal prophylactic antifungal regimen.Methods: A nystatin assay was used to establish a target-cells model for A. fumigatus infection. An inhibitory effect sigmoid Emax model was developed to explore the cellular PK/PD breakpoint, and Monte Carlo simulation was used to design the prophylactic antifungal regimen.Results: The intracellular activity of voriconazole in the target cells varied with its concentration, with the minimum inhibitory concentration (MIC) being an important determinant. For A. fumigatus strains AF293 and AF26, voriconazole decreased the intracellular inoculum by 0.79 and 0.84 lg cfu, respectively. The inhibitory effect sigmoid Emax model showed that 84.01% of the intracellular inoculum was suppressed by voriconazole within 24 h, and that a PK/PD value of 35.53 for the extracellular voriconazole concentration divided by MIC was associated with a 50% suppression of intracellular A. fumigatus. The Monte Carlo simulation results showed that the oral administration of at least 200 mg of voriconazole twice daily was yielded estimated the cumulative fraction of response value of 91.48%. Concentration of voriconazole in the pulmonary epithelial lining fluid and the plasma of > 17.77 and > 1.55 mg/L, respectively, would ensure the PK/PD > 35.53 for voriconazole against most isolates of A. fumigatus and may will be benefit to prevent IPA in clinical applications.Conclusions: This study used a target cellular pharmacokinetics/pharmacodynamics model to reveal a potential mechanism underlying how voriconazole prevents IPA and has provided a method for designing voriconazole prophylactic antifungal regimen in immunosuppressed patients. [ABSTRACT FROM AUTHOR]

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]