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Diagn Microbiol Infect Dis ; 63(1): 38-42, 2009 Jan.
Article in English | MEDLINE | ID: mdl-19073300

ABSTRACT

Potential tigecycline-Enterobacteriaceae susceptibility breakpoints were evaluated using 2 approaches, which differed in the nature of the probabilities assessed by MIC value. Using a previously derived tigecycline population pharmacokinetic model and Monte Carlo simulation, a probability density function of steady-state area under the concentration-time curve for 24 h (AUC(SS(0-24))) values for 9999 patients was generated. AUC(SS(0-24)) values were divided by clinically relevant fixed MIC values to derive AUC(SS(0-24))/MIC ratios, which were used to calculate the clinical response expectation by MIC value based upon a logistic regression model for efficacy (1st approach). For the 2nd approach, the probability of pharmacokinetic-pharmacodynamic (PK-PD) target attainment was calculated as the proportion of patients with AUC(SS(0-24))/MIC ratios greater than the threshold value of 6.96, the PK-PD target associated with optimal clinical response. Probabilities of clinical response and PK-PD target attainment were poorly correlated at MIC values >0.25 mg/L. For instance, the median probability of clinical success was 0.76, whereas the probability of PK-PD target attainment was 0.27 at an MIC value of 1 mg/L, suggesting that the probability of PK-PD target attainment metrics underestimates the clinical performance of tigecycline at higher MIC values.


Subject(s)
Anti-Bacterial Agents/pharmacokinetics , Enterobacteriaceae/drug effects , Minocycline/analogs & derivatives , Anti-Bacterial Agents/therapeutic use , Area Under Curve , Bayes Theorem , Computer Simulation , Dose-Response Relationship, Drug , Enterobacteriaceae Infections/drug therapy , Female , Humans , Logistic Models , Male , Microbial Sensitivity Tests/methods , Minocycline/pharmacokinetics , Minocycline/therapeutic use , Models, Biological , Monte Carlo Method , Skin Diseases, Bacterial/drug therapy , Tigecycline
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