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Predicting the antistaphylococcal effects of daptomycin-rifampicin combinations in an in vitro dynamic model.
- Source :
-
The Journal of antibiotics [J Antibiot (Tokyo)] 2020 Feb; Vol. 73 (2), pp. 101-107. Date of Electronic Publication: 2019 Oct 17. - Publication Year :
- 2020
-
Abstract
- To predict the effects of combined use of antibiotics on their pharmacodynamics, the susceptibility of Staphylococcus aureus to daptomycin-rifampicin combinations was tested at concentration ratios equal to the ratios of daptomycin and rifampicin 24-h areas under the concentration-time curve (AUC <subscript>24</subscript> s) simulated in an in vitro dynamic model. In combination with rifampicin, daptomycin MICs decreased 2- to 31-fold, whereas rifampicin MICs were similar with or without daptomycin. The enhanced susceptibility of S. aureus to daptomycin combined with rifampicin resulted in both an increase of the actual AUC <subscript>24</subscript> /MIC ratios and also more pronounced antibacterial effects compared with single treatments. The areas between the control growth and time-kill curves (ABBCs) determined in combined and single daptomycin treatments were plotted against AUC <subscript>24</subscript> /MIC on the same graph (r <superscript>2</superscript> 0.90). These findings suggest that the effects of daptomycin-rifampicin combinations can be predicted by AUC <subscript>24</subscript> /MICs of daptomycin using its MIC determined at pharmacokinetically derived daptomycin-to-rifampicin concentration ratios.
- Subjects :
- Anti-Bacterial Agents administration & dosage
Anti-Bacterial Agents pharmacokinetics
Area Under Curve
Daptomycin administration & dosage
Daptomycin pharmacokinetics
Drug Therapy, Combination
Microbial Sensitivity Tests
Rifampin administration & dosage
Rifampin pharmacokinetics
Anti-Bacterial Agents pharmacology
Daptomycin pharmacology
Rifampin pharmacology
Staphylococcus aureus drug effects
Subjects
Details
- Language :
- English
- ISSN :
- 1881-1469
- Volume :
- 73
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- The Journal of antibiotics
- Publication Type :
- Academic Journal
- Accession number :
- 31624338
- Full Text :
- https://doi.org/10.1038/s41429-019-0249-x