The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Comparative study with enoxacin and netilmicin in a pharmacodynamic model to determine importance of ratio of antibiotic peak concentration to MIC for bactericidal activity and emergence of resistance
Open accessAbstract
An in vitro pharmacokinetic model was used to study the comparative antibacterial activities of multiple-dose regimens of enoxacin and netilmicin. Strains of Pseudomonas aeruginosa, Klebsiella pneumoniae, Escherichia coli, and Staphylococcus aureus were exposed to changing drug concentrations, mimicking human two-compartment pharmacokinetics. Oral administration was simulated for the quinolone, and intravenous administration was simulated for the aminoglycoside. Similar ratios of peak concentration to MIC resulted in similar changes in bacterial concentrations over time with both compounds. Following the initial dose, a rapid bactericidal effect occurred, with a greater than 99% reduction of the bacterial counts within 4 h at peak concentrations more than three times the MIC. However, bacterial regrowth occurred within 24 h unless the peak concentration/MIC ratio exceeded 8:1 (P less than 0.01). For the regrowing bacteria, MICs were four- to eightfold higher, and little or no bactericidal effect occurred following the second and subsequent doses. These data demonstrate the equally potent bactericidal activity of orally administered enoxacin and intravenously administered netilmicin. Selection of resistant subpopulations was similar with each drug. The peak concentration/MIC ratio may be an important parameter in the clinical use of quinolone and aminoglycoside antibiotics.
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Wolfson, J. S., & Hooper, D. C. (1985) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.28.4.581 · Cited by 698
The fluoroquinolones: pharmacology, clinical uses, and toxicities in humans
Hooper, D. C., & Wolfson, J. S. (1985) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.28.5.716 · Cited by 401
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Selection of Aminoglycoside-Resistant Variants of Pseudomonas aeruginosa in an in Vivo Model
Gerber, A., Vastola, A. P., Brandel, J., et al. (1982) · The Journal of Infectious Diseases · doi:10.1093/infdis/146.5.691 · Cited by 108
Bayer, A. S., Norman, D., & Kim, K. S. (1985) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.28.6.781 · Cited by 43
Cited by
Craig, W. A. (1998) · Clinical Infectious Diseases · doi:10.1086/516284 · Cited by 2,908
Antimicrobial therapeutic drug monitoring in critically ill adult patients: a Position Paper#
Abdul-Aziz, M. H., Alffenaar, J.-W. C., Bassetti, M., Bracht, H., Dimopoulos, G., Marriott, D., Neely, M. N., Paiva, J.-A., Pea, F., Sjovall, F., et al. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06050-1 · Cited by 1,081
Single or multiple daily doses of aminoglycosides: a meta-analysis
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Optimizing Aminoglycoside Therapy for Nosocomial Pneumonia Caused by Gram-Negative Bacteria
Kashuba, A. D. M., Nafziger, A. N., Drusano, G. L., & Bertino, J. S. (1999) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.43.3.623 · Cited by 380
Pharmacokinetic-Pharmacodynamic Modeling of Antibacterial Drugs
Nielsen, E. I., & Friberg, L. E. (2013) · Pharmacological Reviews · doi:10.1124/pr.111.005769 · Cited by 332
Metadata
- Authors
- Blaser, J., Stone, B. B., Groner, M. C., & Zinner, S. H.
- Venue
- Antimicrobial Agents and Chemotherapy
- Publisher
- American Society for Microbiology
- Published
- 1987-07
- Volume
- 31
- Issue
- 7
- Pages
- 1054-1060
- ISSN
- 0066-4804 (ISSN-L)
- 1098-6596
- OpenAlex
- W1980982717
- Cited by
- 481
- References
- 7
- FWCI
- 9.72
- Type
- journal article
- Language
- en
- Open access
- green
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- Blaser, J., Stone, B. B., Groner, M. C., & Zinner, S. H. (1987). Comparative study with enoxacin and netilmicin in a pharmacodynamic model to determine importance of ratio of antibiotic peak concentration to MIC for bactericidal activity and emergence of resistance. Antimicrobial Agents and Chemotherapy. https://doi.org/10.1128/aac.31.7.1054
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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