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. 2022 Aug 3;11(8):1049.
doi: 10.3390/antibiotics11081049.

Pharmacodynamics of Flucloxacillin in a Neutropenic Murine Thigh Infection Model: A Piece of the Puzzle towards Evidence-Based Dosing

Affiliations

Pharmacodynamics of Flucloxacillin in a Neutropenic Murine Thigh Infection Model: A Piece of the Puzzle towards Evidence-Based Dosing

Eveline E Roelofsen et al. Antibiotics (Basel). .

Abstract

For decades, flucloxacillin has been used to treat methicillin-susceptible Staphylococcus aureus (MSSA). Little is still known about its pharmacodynamics (PD). The present study aimed to determine the pharmacokinetic (PK)/PD index and the PD-index value minimally required for efficacy. MICs of 305 MSSA isolates were measured to determine the wild-type distribution. The PD of 8 S. aureus, 1 S. pyogenes, and 1 S. agalactiae isolates were evaluated in a neutropenic murine thigh infection model. Two S. aureus isolates were used in a dose-fractionation study and a dose−response analysis was performed additionally in the in vivo model. Data were analyzed with a population PK and sigmoid maximum effect model. The end of the wild-type distribution was 1 mg/L. The percentage of time the unbound concentration was above MIC (%fT > MIC) was best correlated with efficacy. For S. aureus, median %fT > 0.25 × MIC required for 1-log reduction was 15%. The value for S. pyogenes was 10%fT > MIC and for S. agalactiae 22%fT > 0.25xMIC for a 1-log reduction. The effect of flucloxacillin reached a 2-log reduction of S. aureus at 20%fT > 0.25xMIC and also for S. pyogenes and S. agalactiae, a reduction was reached. These data may serve to optimize dosing regimens currently used in humans.

Keywords: MIC-distribution; PD-target; PK/PD index; beta-lactam.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Relationships of flucloxacillin percentage of time the unbound concentration was above 0.25 times the MIC (%fT > 0.25xMIC) (A), %fT > MIC (B), 24 h fAUC/MIC (C,D), and fCmax/MIC (E,F) for S. aureus MUP1621 and MUP4421 in the neutropenic thigh infection model, with change in CFU per thigh from start of treatment and after 24 h of treatments. Flucloxacillin was dosed every 2 (Q2), 4 (Q4), or 6 (Q6) h. Each symbol represents a therapy response in one mouse thigh. The line is the best-fit line based on the sigmoid maximum effect (Emax) model.
Figure 2
Figure 2
Dose–response of flucloxacillin against six S. aureus, one S. pyogenes and one S. agalactiae isolates in the neutropenic murine thigh infection model. Each symbol represents a therapy response in one mouse thigh. The x axis is the flucloxacillin exposure expressed as the percentage of time the unbound concentration was above 0.25 times the MIC (1 time the MIC for S. pyogenes). The y axis is the change in log10 of bacterial load from the start of treatment. The line is the best fit based on the sigmoid Emax model.
Figure 3
Figure 3
Distribution of MSSA isolates and the probability of target attainment (%PTA) for the 2-log kill target for several dosing regimens for intensive care unit (ICU) [7] as well as non-ICU hospitalized patients [8].

References

    1. Craig W.A. Pharmacokinetic/pharmacodynamic parameters: Rationale for antibacterial dosing of mice and men. Clin. Infect Dis. 1998;26:1–10; quiz 11–12. doi: 10.1086/516284. - DOI - PubMed
    1. Mouton J.W., Punt N., Vinks A.A. Concentration-effect relationship of ceftazidime explains why the time above the MIC is 40 percent for a static effect in vivo. Antimicrob. Agents Chemother. 2007;51:3449–3451. doi: 10.1128/AAC.01586-06. - DOI - PMC - PubMed
    1. Muller A.E., Punt N., Mouton J.W. Optimal exposures of ceftazidime predict the probability of microbiological and clinical outcome in the treatment of nosocomial pneumonia. J. Antimicrob. Chemother. 2013;68:900–906. doi: 10.1093/jac/dks468. - DOI - PubMed
    1. EUCAST Steering Committee . Breakpoint Tables for Interpretation of MICs and Zone Diameters. EUCAST Steering Committee; Växjö, Sweden: 2022. [(accessed on 4 April 2022)]. version 12.0. Available online: https://www.eucast.org/clinical_breakpoints/
    1. EUCAST Steering Committee . MIC Distributions and the Setting of Epidemiological Cutoff (ECOFF) Values. EUCAST SOP; Växjö, Sweden: 2019.

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