Literature DB >> 3193364

Microbial pharmacodynamics of piperacillin in neutropenic mice of systematic infection due to Pseudomonas aeruginosa.

J G Zhi1, C H Nightingale, R Quintiliani.   

Abstract

Mathematical solutions for two possible pharmacodynamic interactions (linear nonsaturable and nonlinear saturable) between antibiotics and microorganisms derived from the incorporation of clinically relevant antibiotic dosage regimens such as single bolus dosing, multiple doses, and constant infusion at steady state have been obtained. It is concluded that the saturable nonlinear interaction model between the tested antibiotic and microorganism appears appropriate. The model and its derived equations are capable of describing in vivo bacterial growth of P. aeruginosa after single bolus dosing and multiple doses of piperacillin as described by a linear one-compartment pharmacokinetic model. The activity of piperacillin against P. aeruginosa in the neutropenic mouse systemic infection model can be described by an equation with three dynamic parameters: the bacterial growth rate constant kapp, 0.02345 min-1, the bacterial killing rate constant k'kill, 0.02623 min-1, and the Michaelis-Menten type saturation constant Km, 0.05467 microgram/ml. The concept and derived equations for the optimal dosing interval and minimum critical concentration are of clinical importance for the proper selection of antibiotic dosage regimens.

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Year:  1988        PMID: 3193364     DOI: 10.1007/bf01062551

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  19 in total

1.  RELATIONSHIP BETWEEN ELIMINATION RATE OF DRUGS AND RATE OF DECLINE OF THEIR PHARMACOLOGIC EFFECTS.

Authors:  G LEVY
Journal:  J Pharm Sci       Date:  1964-03       Impact factor: 3.534

2.  A pharmacodynamic model for the activity of antibiotics against microorganisms under nonsaturable conditions.

Authors:  J Zhi; C H Nightingale; R Quintiliani
Journal:  J Pharm Sci       Date:  1986-11       Impact factor: 3.534

3.  In-vitro bacterial killing kinetics of ticarcillin/clavulanic acid.

Authors:  I M Gould; J Dent; R Wise
Journal:  J Antimicrob Chemother       Date:  1987-03       Impact factor: 5.790

Review 4.  The pharmacokinetic bases of biological response quantification in toxicology, pharmacology and pharmacodynamics.

Authors:  E R Garrett
Journal:  Prog Drug Res       Date:  1977

Review 5.  Measurement and interpretation of certain biopharmaceutic and pharmacodynamic parameters.

Authors:  M Gibaldi
Journal:  Chemotherapia (Basel)       Date:  1968

6.  Pharmacodynamics of chemotherapeutic effects: dose-time-response relationships for phase-nonspecific agents.

Authors:  W J Jusko
Journal:  J Pharm Sci       Date:  1971-06       Impact factor: 3.534

7.  Kinetics of pharmacologic response. I. Proposed relationships between response and drug concentration in the intact animal and man.

Authors:  J G Wagner
Journal:  J Theor Biol       Date:  1968-08       Impact factor: 2.691

8.  Comparative efficacies of piperacillin, azlocillin, ticarcillin, aztreonam, and tobramycin against experimental Pseudomonas aeruginosa pneumonia.

Authors:  J B Schiff; J E Pennington
Journal:  Antimicrob Agents Chemother       Date:  1984-01       Impact factor: 5.191

9.  The inhibitory quotient. A method for interpreting minimum inhibitory concentration data.

Authors:  P D Ellner; H C Neu
Journal:  JAMA       Date:  1981-10-02       Impact factor: 56.272

10.  Aminoglycoside-selected subpopulations of Pseudomonas aeruginosa: characterization and virulence in normal and leukopenic mice.

Authors:  A U Gerber; W A Craig
Journal:  J Lab Clin Med       Date:  1982-11
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  26 in total

Review 1.  Achieving an optimal outcome in the treatment of infections. The role of clinical pharmacokinetics and pharmacodynamics of antimicrobials.

Authors:  R C Li; M Zhu; J J Schentag
Journal:  Clin Pharmacokinet       Date:  1999-07       Impact factor: 6.447

Review 2.  Issues in pharmacokinetics and pharmacodynamics of anti-infective agents: kill curves versus MIC.

Authors:  Markus Mueller; Amparo de la Peña; Hartmut Derendorf
Journal:  Antimicrob Agents Chemother       Date:  2004-02       Impact factor: 5.191

3.  Pharmacodynamic functions: a multiparameter approach to the design of antibiotic treatment regimens.

Authors:  Roland R Regoes; Camilla Wiuff; Renata M Zappala; Kim N Garner; Fernando Baquero; Bruce R Levin
Journal:  Antimicrob Agents Chemother       Date:  2004-10       Impact factor: 5.191

Review 4.  Pattern Recognition in Pharmacodynamic Data Analysis.

Authors:  Johan Gabrielsson; Stephan Hjorth
Journal:  AAPS J       Date:  2015-11-05       Impact factor: 4.009

5.  Pharmacodynamic modeling of ciprofloxacin resistance in Staphylococcus aureus.

Authors:  Jeffrey J Campion; Patrick J McNamara; Martin E Evans
Journal:  Antimicrob Agents Chemother       Date:  2005-01       Impact factor: 5.191

6.  Comparisons between antimicrobial pharmacodynamic indices and bacterial killing as described by using the Zhi model.

Authors:  S Corvaisier; P H Maire; M Y Bouvier d'Yvoire; X Barbaut; N Bleyzac; R W Jelliffe
Journal:  Antimicrob Agents Chemother       Date:  1998-07       Impact factor: 5.191

Review 7.  Characteristics of indirect pharmacodynamic models and applications to clinical drug responses.

Authors:  A Sharma; W J Jusko
Journal:  Br J Clin Pharmacol       Date:  1998-03       Impact factor: 4.335

8.  The population dynamics of antimicrobial chemotherapy.

Authors:  M Lipsitch; B R Levin
Journal:  Antimicrob Agents Chemother       Date:  1997-02       Impact factor: 5.191

9.  Pharmacokinetic-pharmacodynamic modeling of activity of ceftazidime during continuous and intermittent infusion.

Authors:  J W Mouton; A A Vinks; N C Punt
Journal:  Antimicrob Agents Chemother       Date:  1997-04       Impact factor: 5.191

10.  Antibiotic exposure and its relationship to postantibiotic effect and bactericidal activity: constant versus exponentially decreasing tobramycin concentrations against Pseudomonas aeruginosa.

Authors:  R C Li; Z Y Zhu; S W Lee; K Raymond; J M Ling; A F Cheng
Journal:  Antimicrob Agents Chemother       Date:  1997-08       Impact factor: 5.191

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