Literature DB >> 8851602

Predictors of effect of ampicillin-sulbactam against TEM-1 beta-lactamase-producing Escherichia coli in an in vitro dynamic model: enzyme activity versus MIC.

A A Firsov1, D Saverino, D Savarino, M Ruble, D Gilbert, B Manzano, A A Medeiros, S H Zinner.   

Abstract

The clinical outcome in patients treated with ampicillin-sulbactam may not always be predictable by disc susceptibility testing or with the MIC as determined with a constant level (4 micrograms/ml) of the beta-lactamase inhibitor (MIC1). The enzyme activities (EA) and the MICs estimated at a constant ratio of ampicillin to sulbactam of 2:1 (MIC2) for 15 TEM-1 beta-lactamase-producing strains of Escherichia coli were examined as alternatives to MIC1 as predictors of the antibacterial effects of this combined drug as studied in an in vitro model which simulates ampicillin-sulbactam pharmacokinetic profiles observed in human peripheral tissues. Integral parameters describing the area under the bacterial count-time curve (AUBC), the area between the normal growth curve, and the killing curve of bacteria exposed to antibiotic (ABBC), and the second parameter expressed as a percentage of its maximal hypothetical value (ABBC/ABBCmax) were calculated. All three parameters correlated well with EA (AUBC, r = 0.93; ABBC, r = -0.88; ABBC/ABBCmax, r = -0.91) and with MIC2 (r = 0.94, -0.94, and -0.95, respectively) but not with MIC1. Both EA and MIC2 can be considered reliable predictors of the antibacterial effect of ampicillin-sulbactam in an in vitro model. These correlations suggest that in vitro kinetic-dynamic models might be useful to reexamine established susceptibility breakpoints obtained with data based on the MIC1 (MICs obtained with constant levels of beta-lactamase inhibitors). These data also suggest that quantitative determinations of bacterial beta-lactamase production and MICs based on the component concentration ratio observed in vivo might be useful predictors of the effect of ampicillin-sulbactam and other beta-lactam-inhibitor combinations.

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Year:  1996        PMID: 8851602      PMCID: PMC163189     

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


  11 in total

1.  Antibacterial activity of cefpodoxime proxetil in a pharmacokinetic in-vitro model.

Authors:  B Wiedemann; A Jansen
Journal:  J Antimicrob Chemother       Date:  1990-07       Impact factor: 5.790

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

Authors:  A A Firsov; V M Chernykh; S M Navashin
Journal:  Antimicrob Agents Chemother       Date:  1990-07       Impact factor: 5.191

3.  Two compartment kinetic model with multiple artificial capillary units.

Authors:  J Blaser; B B Stone; S H Zinner
Journal:  J Antimicrob Chemother       Date:  1985-01       Impact factor: 5.790

4.  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

5.  Kill kinetics and regrowth patterns of Escherichia coli exposed to gentamicin concentration-time profiles simulating in vivo bolus and infusion dosing.

Authors:  E B Bastone; S C Li; L L Ioannides-Demos; W J Spicer; A J McLean
Journal:  Antimicrob Agents Chemother       Date:  1993-04       Impact factor: 5.191

6.  In vitro evaluation of the determinants of bactericidal activity of ampicillin dosing regimens against Escherichia coli.

Authors:  C A White; R D Toothaker; A L Smith; J T Slattery
Journal:  Antimicrob Agents Chemother       Date:  1989-07       Impact factor: 5.191

7.  Antipseudomonal activity of simulated infusions of gentamicin alone or with piperacillin assessed by serum bactericidal rate and area under the killing curve.

Authors:  J E Tisdale; M T Pasko; J M Mylotte
Journal:  Antimicrob Agents Chemother       Date:  1989-09       Impact factor: 5.191

8.  Comparison of polyacrylamide and agarose gel thin-layer isoelectric focusing for the characterization of beta-lactamases.

Authors:  C Vecoli; F E Prevost; J J Ververis; A A Medeiros; G P O'Leary
Journal:  Antimicrob Agents Chemother       Date:  1983-08       Impact factor: 5.191

9.  Novel method for detection of beta-lactamases by using a chromogenic cephalosporin substrate.

Authors:  C H O'Callaghan; A Morris; S M Kirby; A H Shingler
Journal:  Antimicrob Agents Chemother       Date:  1972-04       Impact factor: 5.191

10.  In vitro simulated pharmacokinetics profiles: forecasting antibiotic optimal dosage.

Authors:  A A Firsov
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1991       Impact factor: 2.441

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  14 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

3.  Influence of inoculum size on the selection of resistant mutants of Escherichia coli in relation to mutant prevention concentrations of marbofloxacin.

Authors:  Aude Ferran; Véronique Dupouy; Pierre-Louis Toutain; Alain Bousquet-Mélou
Journal:  Antimicrob Agents Chemother       Date:  2007-08-20       Impact factor: 5.191

4.  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

5.  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

6.  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

7.  Correlation between in vitro and in vivo activities of GM 237354, a new sordarin derivative, against Candida albicans in an in vitro pharmacokinetic-pharmacodynamic model and influence of protein binding.

Authors:  P Aviles; C Falcoz; M J Guillén; R San Roman; F Gómez De Las Heras; D Gargallo-Viola
Journal:  Antimicrob Agents Chemother       Date:  2001-10       Impact factor: 5.191

8.  Clinical characteristics of bloodstream infections due to ampicillin-sulbactam-resistant, non-extended- spectrum-beta-lactamase-producing Escherichia coli and the role of TEM-1 hyperproduction.

Authors:  Rebecca I Waltner-Toews; David L Paterson; Zubair A Qureshi; Hanna E Sidjabat; Jennifer M Adams-Haduch; Kathleen A Shutt; Mark Jones; Guo-Bao Tian; Anthony W Pasculle; Yohei Doi
Journal:  Antimicrob Agents Chemother       Date:  2010-12-06       Impact factor: 5.191

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.  Searching for the Optimal Predictor of Ciprofloxacin Resistance in Klebsiella pneumoniae by Using In Vitro Dynamic Models.

Authors:  Elena N Strukova; Yury A Portnoy; Andrey V Romanov; Mikhail V Edelstein; Stephen H Zinner; Alexander A Firsov
Journal:  Antimicrob Agents Chemother       Date:  2015-12-07       Impact factor: 5.191

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