Literature DB >> 2117416

Quantitative analysis of antimicrobial effect kinetics in an in vitro dynamic model.

A A Firsov1, V M Chernykh, S M Navashin.   

Abstract

Variants of the available methods for estimating antimicrobial effect kinetics in an in vitro dynamic model were analyzed. Two integral parameters characterizing antimicrobial effect duration (TE) and intensity (IE) are suggested to define and analyze the concentration-effect relationships in these models, irrespective of the method of recording. TE is defined by the time from the moment of antibiotic administration to the movement when the bacterial count again reaches its initial level. IE is defined by the area between the microbial growth curves in the presence and absence of an antibiotic. TE and IE were used to quantify the antimicrobial effects of sisomicin on Pseudomonas aeruginosa 58, Escherichia coli 93, and Klebsiella pneumoniae 5056, simulating the pharmacokinetic profiles of the drugs observed following intramuscular administration in therapeutic doses, including the variability of aminoglycoside concentrations in human blood.

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Year:  1990        PMID: 2117416      PMCID: PMC175972          DOI: 10.1128/AAC.34.7.1312

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


  14 in total

1.  A dynamic model for in-vitro evaluation of antimicrobial action by simulation of the pharmacokinetic profiles of antibiotics.

Authors:  S M Navashin; I P Fomina; A A Firsov; V M Chernykh; S M Kuznetsova
Journal:  J Antimicrob Chemother       Date:  1989-03       Impact factor: 5.790

2.  The use of bacteria producing the aminoglycoside inactivating enzyme ANT-(2") in an in-vitro model.

Authors:  B Wiedemann; W Hüsing
Journal:  J Antimicrob Chemother       Date:  1985-01       Impact factor: 5.790

3.  Flow microcalorimetry as a tool for an improved analysis of antibiotic activity: the different stages of chloramphenicol action.

Authors:  D Krüger; P Giesbrecht
Journal:  Experientia       Date:  1989-04-15

4.  Antibacterial activity of aminosidine and of beta-lactamic antibiotics.

Authors:  A Sanfilippo; R Mazzoleni
Journal:  Farmaco Prat       Date:  1974-01

5.  [Kinetics of the antimicrobial effect in a dynamic system: the microcalorimetric recording method and choice of parameters for characterizing kinetic curves].

Authors:  V M Chernykh; A A Firsov
Journal:  Antibiot Med Biotekhnol       Date:  1985-07

6.  Influence of ampicillin elimination half-life on in-vitro bactericidal effect.

Authors:  C A White; R D Toothaker
Journal:  J Antimicrob Chemother       Date:  1985-01       Impact factor: 5.790

7.  An improved method to study antibacterial activity of antibiotics in an in vitro model simulating serum levels.

Authors:  P M Shah
Journal:  Methods Find Exp Clin Pharmacol       Date:  1980-08

8.  A test and calibration process for microcalorimeters used as thermal power meters.

Authors:  A Chen; I Wadsö
Journal:  J Biochem Biophys Methods       Date:  1982-09

9.  Antibacterial effects of cefroxadine, cephalexin and cephradine in a new in vitro pharmacokinetic model.

Authors:  P Schneider; W Tosch; M Maurer; O Zak
Journal:  J Antibiot (Tokyo)       Date:  1982-07       Impact factor: 2.649

10.  Impact of netilmicin regimens on the activities of ceftazidime-netilmicin combinations against Pseudomonas aeruginosa in an in vitro pharmacokinetic model.

Authors:  J Blaser; B B Stone; M C Groner; S H Zinner
Journal:  Antimicrob Agents Chemother       Date:  1985-07       Impact factor: 5.191

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  19 in total

1.  Use of Modeling Techniques to Aid in Antibiotic Selection.

Authors:  Alexander A. Firsov; Stephen H. Zinner
Journal:  Curr Infect Dis Rep       Date:  2001-02       Impact factor: 3.725

2.  Relationships of the area under the curve/MIC ratio to different integral endpoints of the antimicrobial effect: gemifloxacin pharmacodynamics in an in vitro dynamic model.

Authors:  A A Firsov; I Y Lubenko; Y A Portnoy; S H Zinner; S N Vostrov
Journal:  Antimicrob Agents Chemother       Date:  2001-03       Impact factor: 5.191

Review 3.  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

4.  Antibiotic pharmacodynamics and bacterial resistance: usefulness of in vitro models.

Authors:  Stephen H Zinner; Alexander Firsov
Journal:  Curr Infect Dis Rep       Date:  2007-05       Impact factor: 3.725

5.  Parameters of bacterial killing and regrowth kinetics and antimicrobial effect examined in terms of area under the concentration-time curve relationships: action of ciprofloxacin against Escherichia coli in an in vitro dynamic model.

Authors:  A A Firsov; S N Vostrov; A A Shevchenko; G Cornaglia
Journal:  Antimicrob Agents Chemother       Date:  1997-06       Impact factor: 5.191

6.  Net effect of inoculum size on antimicrobial action of ampicillin-sulbactam: studies using an in vitro dynamic model.

Authors:  A A Firsov; M Ruble; D Gilbert; D Saverino; D Savarino; B Manzano; A A Medeiros; S H Zinner
Journal:  Antimicrob Agents Chemother       Date:  1997-01       Impact factor: 5.191

7.  Relationships between antimicrobial effect and area under the concentration-time curve as a basis for comparison of modes of antibiotic administration: meropenem bolus injections versus continuous infusions.

Authors:  A A Firsov; H Mattie
Journal:  Antimicrob Agents Chemother       Date:  1997-02       Impact factor: 5.191

8.  Pharmacodynamic and response surface analysis of linezolid or vancomycin combined with meropenem against Staphylococcus aureus.

Authors:  Sebastian G Wicha; Martin G Kees; Janin Kuss; Charlotte Kloft
Journal:  Pharm Res       Date:  2015-01-30       Impact factor: 4.200

9.  A new approach to in vitro comparisons of antibiotics in dynamic models: equivalent area under the curve/MIC breakpoints and equiefficient doses of trovafloxacin and ciprofloxacin against bacteria of similar susceptibilities.

Authors:  A A Firsov; S N Vostrov; A A Shevchenko; Y A Portnoy; S H Zinner
Journal:  Antimicrob Agents Chemother       Date:  1998-11       Impact factor: 5.191

10.  MIC-based interspecies prediction of the antimicrobial effects of ciprofloxacin on bacteria of different susceptibilities in an in vitro dynamic model.

Authors:  A A Firsov; S N Vostrov; A A Shevchenko; S H Zinner; G Cornaglia; Y A Portnoy
Journal:  Antimicrob Agents Chemother       Date:  1998-11       Impact factor: 5.191

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