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Fig. 4 | BMC Microbiology

Fig. 4

From: Time-kill curve analysis and pharmacodynamic modelling for in vitro evaluation of antimicrobials against Neisseria gonorrhoeae

Fig. 4

Pharmacodynamic functions for different antimicrobials and Neisseria gonorrhoeae strains. a Estimating growth rates (cefixime in DG666). Dashed lines represent linear regressions of the logarithm of the colony counts at different antimicrobial concentrations. The coefficient of the linear regression corresponds to the net bacterial growth rate. b Fitting the pharmacodynamic function to estimated growth rates (cefixime in DG666). Points correspond to the estimated net bacterial growth rates at different antimicrobial concentrations. The solid line shows the model fit excluding the estimated net bacterial growth rates at very high antimicrobial concentrations. The dashed line indicates the model fit including all data points. The growth rate in absence of antimicrobial is shown in red at a concentration that is 10-fold lower than the lowest concentration. c Pharmacodynamics functions for ciprofloxacin in six N. gonorrhoeae strains (Low Level Resistance (LLR) = WHO G; High Level Resistance (HLR) = WHO K, WHO L; Resistance (R) = WHO M, WHO N; and Susceptible (S) = DG666). d Pharmacodynamic functions for nine different antimicrobials in DG666 strain. Note that each curve is based on the arithmetic mean of the estimated parameters from two independent time-kill experiments (as in Table 1)

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