Previous Article | Next Article 
Antimicrobial Agents and Chemotherapy, October 2004, p. 3670-3676, Vol. 48, No. 10
0066-4804/04/$08.00+0 DOI: 10.1128/AAC.48.10.3670-3676.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Pharmacodynamic Functions: a Multiparameter Approach to the Design of Antibiotic Treatment Regimens
Roland R. Regoes,1* Camilla Wiuff,1 Renata M. Zappala,1 Kim N. Garner,1 Fernando Baquero,2 and Bruce R. Levin1
Department of Biology, Emory University, Atlanta, Georgia,1
Servicio de Microbiologia, Hospital Universitario Ramon y Cajal, Madrid, Spain2
Received 5 November 2003/
Returned for modification 13 January 2004/
Accepted 30 May 2004
There is a complex quantitative relationship between the concentrations of antibiotics and the growth and death rates of bacteria. Despite this complexity, in most cases only a single pharmacodynamic parameter, the MIC of the drug, is employed for the rational development of antibiotic treatment regimens. In this report, we use a mathematical model based on a Hill functionwhich we call the pharmacodynamic function and which is related to previously published Emax modelsto describe the relationship between the bacterial net growth rates and the concentrations of antibiotics of five different classes: ampicillin, ciprofloxacin, tetracycline, streptomycin, and rifampin. Using Escherichia coli O18:K1:H7, we illustrate how precise estimates of the four parameters of the pharmacodynamic function can be obtained from in vitro time-kill data. We show that, in addition to their respective MICs, these antibiotics differ in the values of the other pharmacodynamic parameters. Using a computer simulation of antibiotic treatment in vivo, we demonstrate that, as a consequence of differences in pharmacodynamic parameters, such as the steepness of the Hill function and the minimum bacterial net growth rate attained at high antibiotic concentrations, there can be profound differences in the microbiological efficacy of antibiotics with identical MICs. We discuss the clinical implications and limitations of these results.
* Corresponding author. Mailing address: Department of Biology, Emory University, 1510 Clifton Rd. NE, Atlanta, GA 30322. Phone: (404) 727-1765. Fax: (404) 727-2880. E-mail:
rregoes{at}emory.edu.
Antimicrobial Agents and Chemotherapy, October 2004, p. 3670-3676, Vol. 48, No. 10
0066-4804/04/$08.00+0 DOI: 10.1128/AAC.48.10.3670-3676.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
This article has been cited by other articles:
-
Udekwu, K. I., Parrish, N., Ankomah, P., Baquero, F., Levin, B. R.
(2009). Functional relationship between bacterial cell density and the efficacy of antibiotics. J Antimicrob Chemother
63: 745-757
[Abstract]
[Full Text]
-
Johnsen, P. J., Dubnau, D., Levin, B. R.
(2009). Episodic Selection and the Maintenance of Competence and Natural Transformation in Bacillus subtilis. Genetics
181: 1521-1533
[Abstract]
[Full Text]
-
Tam, V. H., Schilling, A. N., Poole, K., Nikolaou, M.
(2007). Mathematical modelling response of Pseudomonas aeruginosa to meropenem. J Antimicrob Chemother
60: 1302-1309
[Abstract]
[Full Text]
-
Mouton, J. W., Punt, N., Vinks, A. A.
(2007). Concentration-Effect Relationship of Ceftazidime Explains Why the Time above the MIC Is 40 Percent for a Static Effect In Vivo. Antimicrob. Agents Chemother.
51: 3449-3451
[Abstract]
[Full Text]
-
Nielsen, E. I., Viberg, A., Lowdin, E., Cars, O., Karlsson, M. O., Sandstrom, M.
(2007). Semimechanistic Pharmacokinetic/Pharmacodynamic Model for Assessment of Activity of Antibacterial Agents from Time-Kill Curve Experiments. Antimicrob. Agents Chemother.
51: 128-136
[Abstract]
[Full Text]
-
Bull, J. J, Regoes, R. R
(2006). Pharmacodynamics of non-replicating viruses, bacteriocins and lysins. Proc R Soc B
273: 2703-2712
[Abstract]
[Full Text]
-
Chung, P., McNamara, P. J., Campion, J. J., Evans, M. E.
(2006). Mechanism-Based Pharmacodynamic Models of Fluoroquinolone Resistance in Staphylococcus aureus.. Antimicrob. Agents Chemother.
50: 2957-2965
[Abstract]
[Full Text]
-
Olofsson, S. K., Geli, P., Andersson, D. I., Cars, O.
(2005). Pharmacodynamic Model To Describe the Concentration-Dependent Selection of Cefotaxime-Resistant Escherichia coli. Antimicrob. Agents Chemother.
49: 5081-5091
[Abstract]
[Full Text]
-
Tam, V. H., Schilling, A. N., Nikolaou, M.
(2005). Modelling time-kill studies to discern the pharmacodynamics of meropenem. J Antimicrob Chemother
55: 699-706
[Abstract]
[Full Text]
-
Wiuff, C., Zappala, R. M., Regoes, R. R., Garner, K. N., Baquero, F., Levin, B. R.
(2005). Phenotypic Tolerance: Antibiotic Enrichment of Noninherited Resistance in Bacterial Populations. Antimicrob. Agents Chemother.
49: 1483-1494
[Abstract]
[Full Text]