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An improved PKPD modeling approach to characterize the pharmacodynamic interaction over time between ceftazidime/avibactam and colistin from time-kill experiments against multidrug-resistant isolates. | LitMetric

AI Article Synopsis

  • This study looks at how two antibiotics, ceftazidime/avibactam and colistin, work together over time in fighting bacteria that are hard to treat.
  • They used a test called time-kill curves (TKCs) to see how effective these antibiotics are alone and together against certain bacteria.
  • The results showed that when used together, the antibiotics generally worked well without any bad effects, and they helped stop the bacteria from becoming resistant to treatment.

Article Abstract

In contrast to the checkerboard method, bactericidal experiments [time-kill curves (TKCs)] allow an assessment of pharmacodynamic (PD) interactions over time. However, TKCs in combination pose interpretation problems. The objective of this study was to characterize the PD interaction over time between ceftazidime/avibactam (CZA) and colistin (CST) using TKC against four multidrug-resistant susceptible to both antibiotics and expressing a widespread carbapenemase determinant KPC-3. TKCs were performed and analyzed using pharmacokinetic/pharmacodynamic (PKPD) modeling. The general pharmacodynamic interaction model was used to characterize PD interactions between drugs. The 95% confidence intervals (95%CIs) of the expected additivity and of the observed interaction were built using parametric bootstraps and compared to evaluate the PD interaction over time. Further simulations were conducted to investigate the effect of the combination at varying concentrations typically observed in patients. Regrowth was observed in TKCs at high concentrations of drugs alone [from 4 to 32× minimum inhibitory concentrations (MIC)], while the combination systematically prevented the regrowth at concentrations close to the MIC. Significant synergy or antagonism were observed under specific conditions but overall 95%CIs overlapped widely over time indicating an additive interaction between antibiotics. Moreover, simulations of typical PK profile at standard dosages indicated that the interaction should be additive in clinical conditions. The nature of the PD interaction varied with time and concentration in TKC. Against the four isolates, the bactericidal effect of CZA + CST combination was predicted to be additive and to prevent the emergence of resistance at clinical concentrations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583682PMC
http://dx.doi.org/10.1128/aac.00301-23DOI Listing

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