Literature DB >> 1929302

Correlation between in vitro and in vivo activity of antimicrobial agents against gram-negative bacilli in a murine infection model.

B Fantin1, J Leggett, S Ebert, W A Craig.   

Abstract

We studied the relationship between in vitro susceptibility tests (MICs, MBCs) and in vivo activity of tobramycin, pefloxacin, ceftazidime, and imipenem against 15 gram-negative bacilli from five different species in a murine thigh infection model. Complete dose-response curves were determined for each antimicrobial agent against each strain, and three parameters of in vivo activity were defined: maximal attainable antimicrobial effect (i.e., reduction in log10 CFU per thigh compared with untreated controls) at 24 h (Emax), total dose required to reach 50% of maximal effect (P50), and total dose required to achieve a bacteriostatic effect (static dose). Pefloxacin demonstrated the greatest Emax (P less than 0.05). Tobramycin was the most potent antimicrobial agent, as indicated by its having the lowest static dose/MIC ratio (P less than 0.002). Log10 P50s and static doses correlated significantly with log10 MICs or MBCs for the 15 strains of each antibiotic (P less than 0.01) except imipenem (P greater than 0.50). The greater potency of imipenem against the three Pseudomonas aeruginosa strains than against strains of the family Enterobacteriaceae (P less than 0.01) explained this lack of correlation. A longer duration of postantibiotic effect for imipenem against P. aeruginosa (P = 0.02) contributed to its increased potency against these strains. We conclude that in vitro susceptibility tests correlated well with in vivo activity in this animal model and that variations in potency among the four antimicrobial agents could be explained by differences in pharmacokinetics or pharmacodynamic activity.

Entities:  

Mesh:

Substances:

Year:  1991        PMID: 1929302      PMCID: PMC245182          DOI: 10.1128/AAC.35.7.1413

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  30 in total

1.  Correlation between in vitro studies and response to antibiotic therapy in staphylococcic bacteremia.

Authors:  F M ABBOUD; B A WAISBREN
Journal:  AMA Arch Intern Med       Date:  1959-08

2.  A review of models for the therapy of experimental infections.

Authors:  M G Bergeron
Journal:  Scand J Infect Dis Suppl       Date:  1978

3.  The comparative pharmacokinetics of five quinolones.

Authors:  R Wise; D Lister; C A McNulty; D Griggs; J M Andrews
Journal:  J Antimicrob Chemother       Date:  1986-11       Impact factor: 5.790

4.  Simultaneous modeling of pharmacokinetics and pharmacodynamics with nonparametric kinetic and dynamic models.

Authors:  J D Unadkat; F Bartha; L B Sheiner
Journal:  Clin Pharmacol Ther       Date:  1986-07       Impact factor: 6.875

Review 5.  Understanding the dose-effect relationship: clinical application of pharmacokinetic-pharmacodynamic models.

Authors:  N H Holford; L B Sheiner
Journal:  Clin Pharmacokinet       Date:  1981 Nov-Dec       Impact factor: 6.447

6.  Recent experience with bacillemia due to gram-negative organisms.

Authors:  R L Myerowitz; A A Medeiros; T F O'Brien
Journal:  J Infect Dis       Date:  1971-09       Impact factor: 5.226

7.  Experimental infection with Streptococcus pneumoniae in mice: correlation of in vitro activity and pharmacokinetic parameters with in vivo effect for 14 cephalosporins.

Authors:  N Frimodt-Møller; M W Bentzon; V F Thomsen
Journal:  J Infect Dis       Date:  1986-09       Impact factor: 5.226

Review 8.  Gram-negative bacteremia. IV. Re-evaluation of clinical features and treatment in 612 patients.

Authors:  B E Kreger; D E Craven; W R McCabe
Journal:  Am J Med       Date:  1980-03       Impact factor: 4.965

Review 9.  Comparative activity of the 4-quinolones.

Authors:  I Phillips; A King
Journal:  Rev Infect Dis       Date:  1988 Jan-Feb

10.  The importance of pharmacodynamics in determining the dosing interval in therapy for experimental pseudomonas endocarditis in the rat.

Authors:  M J Ingerman; P G Pitsakis; A F Rosenberg; M E Levison
Journal:  J Infect Dis       Date:  1986-04       Impact factor: 5.226

View more
  29 in total

1.  Comparative Activity of Ceftriaxone, Ciprofloxacin, and Gentamicin as a Function of Bacterial Growth Rate Probed by Escherichia coli Chromosome Replication in the Mouse Peritonitis Model.

Authors:  Maria Schei Haugan; Anders Løbner-Olesen; Niels Frimodt-Møller
Journal:  Antimicrob Agents Chemother       Date:  2019-01-29       Impact factor: 5.191

2.  Population pharmacokinetic model for gatifloxacin in pediatric patients.

Authors:  Christopher M Rubino; Edmund V Capparelli; John S Bradley; Jeffrey L Blumer; Gregory L Kearns; Michael Reed; Richard F Jacobs; Brenda Cirincione; Dennis M Grasela
Journal:  Antimicrob Agents Chemother       Date:  2007-01-12       Impact factor: 5.191

3.  Functional relationship between bacterial cell density and the efficacy of antibiotics.

Authors:  Klas I Udekwu; Nicholas Parrish; Peter Ankomah; Fernando Baquero; Bruce R Levin
Journal:  J Antimicrob Chemother       Date:  2009-02-13       Impact factor: 5.790

4.  Pharmacokinetics and penetration of ceftazidime and avibactam into epithelial lining fluid in thigh- and lung-infected mice.

Authors:  Johanna Berkhout; Maria J Melchers; Anita C van Mil; Seyedmojtaba Seyedmousavi; Claudia M Lagarde; Wright W Nichols; Johan W Mouton
Journal:  Antimicrob Agents Chemother       Date:  2015-02-02       Impact factor: 5.191

5.  Pharmacokinetic and pharmacodynamic models of antimicrobial drugs in vitro and in vivo.

Authors:  H Mattie
Journal:  Infection       Date:  1994 Nov-Dec       Impact factor: 3.553

6.  Post-β-lactamase-inhibitor effect of tazobactam in combination with ceftolozane on extended-spectrum-β-lactamase-producing strains.

Authors:  Helio S Sader; Paul R Rhomberg; Ronald N Jones
Journal:  Antimicrob Agents Chemother       Date:  2014-01-21       Impact factor: 5.191

7.  Behavior of antibiotics during human necrotizing pancreatitis.

Authors:  C Bassi; P Pederzoli; S Vesentini; M Falconi; A Bonora; H Abbas; A Benini; E M Bertazzoni
Journal:  Antimicrob Agents Chemother       Date:  1994-04       Impact factor: 5.191

8.  Impact of MIC range for Pseudomonas aeruginosa and Streptococcus pneumoniae on the ceftolozane in vivo pharmacokinetic/pharmacodynamic target.

Authors:  A J Lepak; A Reda; K Marchillo; J Van Hecker; W A Craig; D Andes
Journal:  Antimicrob Agents Chemother       Date:  2014-08-04       Impact factor: 5.191

9.  Identification of the In Vivo Pharmacokinetics and Pharmacodynamic Driver of Iclaprim.

Authors:  Jee Hyun Park; William Craig; Karen Marchillo; David B Huang; David R Andes
Journal:  Antimicrob Agents Chemother       Date:  2018-03-27       Impact factor: 5.191

10.  In vitro pharmacodynamic effects of concentration, pH, and growth phase on serum bactericidal activities of daptomycin and vancomycin.

Authors:  K C Lamp; M J Rybak; E M Bailey; G W Kaatz
Journal:  Antimicrob Agents Chemother       Date:  1992-12       Impact factor: 5.191

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.