Use of a predictor panel for development of a new disk for diffusion tests with cefoperazone-sulbactam. 1992

P A Bradford, and C C Sanders
Department of Medical Microbiology, Creighton University, Omaha, Nebraska 68178.

The proper disk mass for diffusion susceptibility tests with cefoperazone-sulbactam was determined by using a predictor panel of clinical isolates that included staphylococci and gram-negative bacteria intrinsically susceptible, intrinsically resistant, and of various susceptibilities because of the production of different types and amounts of beta-lactamase. A primary panel of 24 isolates was used to screen various disk masses of cefoperazone and sulbactam in disk diffusion susceptibility tests. Regression analyses were performed for each combination by comparing MICs to zone diameters. Analysis of each component demonstrated that decreasing the disk mass of cefoperazone shifted the regression line to the left while decreasing the disk mass of sulbactam diminished the slope of the line. Ten candidate disks that adequately separated susceptible and resistant strains among the primary panel were identified, and these 10 disks, along with the previously proposed 75/30-micrograms disk, were then tested against an expanded panel of 265 isolates. Results indicated that a 30/20-micrograms cefoperazone-sulbactam disk provided the best separation between susceptible and resistant strains when interpretive criteria of less than or equal to 15 mm for resistance, 16 to 19 mm for moderate susceptibility, and greater than or equal to 20 mm for susceptibility were used. They also identified discrepancies between agar and broth microdilution MICs of sufficient size to warrant separate interpretive criteria for the two methods. Overall, the use of a predictor panel to develop interpretive criteria for susceptibility tests appeared to be a very useful approach, especially when antibiotics designed to be used against drug-resistant organisms are involved.

UI MeSH Term Description Entries
D008826 Microbial Sensitivity Tests Any tests that demonstrate the relative efficacy of different chemotherapeutic agents against specific microorganisms (i.e., bacteria, fungi, viruses). Bacterial Sensitivity Tests,Drug Sensitivity Assay, Microbial,Minimum Inhibitory Concentration,Antibacterial Susceptibility Breakpoint Determination,Antibiogram,Antimicrobial Susceptibility Breakpoint Determination,Bacterial Sensitivity Test,Breakpoint Determination, Antibacterial Susceptibility,Breakpoint Determination, Antimicrobial Susceptibility,Fungal Drug Sensitivity Tests,Fungus Drug Sensitivity Tests,Sensitivity Test, Bacterial,Sensitivity Tests, Bacterial,Test, Bacterial Sensitivity,Tests, Bacterial Sensitivity,Viral Drug Sensitivity Tests,Virus Drug Sensitivity Tests,Antibiograms,Concentration, Minimum Inhibitory,Concentrations, Minimum Inhibitory,Inhibitory Concentration, Minimum,Inhibitory Concentrations, Minimum,Microbial Sensitivity Test,Minimum Inhibitory Concentrations,Sensitivity Test, Microbial,Sensitivity Tests, Microbial,Test, Microbial Sensitivity,Tests, Microbial Sensitivity
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011786 Quality Control A system for verifying and maintaining a desired level of quality in a product or process by careful planning, use of proper equipment, continued inspection, and corrective action as required. (Random House Unabridged Dictionary, 2d ed) Control, Quality,Controls, Quality,Quality Controls
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002438 Cefoperazone Semisynthetic broad-spectrum cephalosporin with a tetrazolyl moiety that is resistant to beta-lactamase. It may be used to treat Pseudomonas infections. Cefobid,Cefoperazon,Cefoperazone Sodium,Cefoperazone Sodium Salt,Céfobis,T-1551,T1551,Salt, Cefoperazone Sodium,Sodium Salt, Cefoperazone,Sodium, Cefoperazone,T 1551
D004352 Drug Resistance, Microbial The ability of microorganisms, especially bacteria, to resist or to become tolerant to chemotherapeutic agents, antimicrobial agents, or antibiotics. This resistance may be acquired through gene mutation or foreign DNA in transmissible plasmids (R FACTORS). Antibiotic Resistance,Antibiotic Resistance, Microbial,Antimicrobial Resistance, Drug,Antimicrobial Drug Resistance,Antimicrobial Drug Resistances,Antimicrobial Resistances, Drug,Drug Antimicrobial Resistance,Drug Antimicrobial Resistances,Drug Resistances, Microbial,Resistance, Antibiotic,Resistance, Drug Antimicrobial,Resistances, Drug Antimicrobial
D004359 Drug Therapy, Combination Therapy with two or more separate preparations given for a combined effect. Combination Chemotherapy,Polychemotherapy,Chemotherapy, Combination,Combination Drug Therapy,Drug Polytherapy,Therapy, Combination Drug,Chemotherapies, Combination,Combination Chemotherapies,Combination Drug Therapies,Drug Polytherapies,Drug Therapies, Combination,Polychemotherapies,Polytherapies, Drug,Polytherapy, Drug,Therapies, Combination Drug
D001419 Bacteria One of the three domains of life (the others being Eukarya and ARCHAEA), also called Eubacteria. They are unicellular prokaryotic microorganisms which generally possess rigid cell walls, multiply by cell division, and exhibit three principal forms: round or coccal, rodlike or bacillary, and spiral or spirochetal. Bacteria can be classified by their response to OXYGEN: aerobic, anaerobic, or facultatively anaerobic; by the mode by which they obtain their energy: chemotrophy (via chemical reaction) or PHOTOTROPHY (via light reaction); for chemotrophs by their source of chemical energy: CHEMOLITHOTROPHY (from inorganic compounds) or chemoorganotrophy (from organic compounds); and by their source for CARBON; NITROGEN; etc.; HETEROTROPHY (from organic sources) or AUTOTROPHY (from CARBON DIOXIDE). They can also be classified by whether or not they stain (based on the structure of their CELL WALLS) with CRYSTAL VIOLET dye: gram-negative or gram-positive. Eubacteria
D013407 Sulbactam A beta-lactamase inhibitor with very weak antibacterial action. The compound prevents antibiotic destruction of beta-lactam antibiotics by inhibiting beta-lactamases, thus extending their spectrum activity. Combinations of sulbactam with beta-lactam antibiotics have been used successfully for the therapy of infections caused by organisms resistant to the antibiotic alone. Bétamaze,CP-45899,Combactam,Penicillanic Acid Sulfone,Sulbactam Sodium,CP 45899,CP45899,Sodium, Sulbactam,Sulfone, Penicillanic Acid

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