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Inability of cephalothin testing to predict cefprozil susceptibility
J Fung-Tomc1, T Stickle, C Doyle
1Department of Microbiology, Pharmaceutical Research Institute, Wallingford, Connecticut 06492.
Journal of Clinical Microbiology
|November 1, 1991
Summary
The cefprozil disk test accurately predicts cefprozil susceptibility, unlike the cephalothin disk test. Cefprozil disk diffusion testing offers a more reliable method for determining cefprozil effectiveness against bacterial infections.
Area of Science:
- Microbiology
- Clinical Pharmacy
- Antimicrobial Susceptibility Testing
Background:
- Accurate antimicrobial susceptibility testing is crucial for effective treatment of bacterial infections.
- Agar disk diffusion is a common method for determining antibiotic effectiveness.
- Cephalothin disks are sometimes used to infer susceptibility to other cephalosporins, but their accuracy can vary.
Purpose of the Study:
- To compare the accuracy of 30-micrograms cefprozil disks versus 30-micrograms cephalothin disks in predicting cefprozil susceptibility.
- To evaluate the error rates associated with each disk type in agar disk diffusion testing.
Main Methods:
- Agar disk diffusion testing was performed using both cefprozil and cephalothin disks.
- The cefprozil disk and the cephalosporin class (30-micrograms cephalothin) disk were compared for their abilities to predict cefprozil susceptibility.
- Error rates (very major, major, and minor) were calculated for each disk type.
Main Results:
- The cephalothin disk exhibited high error rates: 5.02% major and 14.11% minor errors.
- Errors with cephalothin disks were most common in Escherichia coli and Enterococcus faecalis.
- Cefprozil disks demonstrated significantly lower error rates: 0.05% very major, 0% major, and 3.72% minor errors.
Conclusions:
- The 30-micrograms cefprozil disk is a more accurate and reliable tool for predicting cefprozil susceptibility compared to the cephalothin disk.
- Cefprozil disk diffusion testing minimizes errors, ensuring more precise guidance for clinical treatment decisions.