Roger L. White

Evaluation of antibiotic synergy against Acinetobacter baumannii : a comparison with Etest, time-kill, and checkerboard methods

Acinetobacter baumannii is becoming increasingly resistant to antibiotics, often requiring combination therapy. Numerous methods exist to detect the presence of in vitro synergy with the time-kill and checkerboard tests being widely used. The Epsilometer test (E test) is a new method that is less labor intensive, but has not been evaluated using a wide range of antimicrobials and organisms. We assessed synergy using the time-kill and checkerboard tests and compared the results to the E test method using 10 clinical isolates of A. baumannii. Antimicrobial combinations evaluated consisted of trovafloxacin or tobramycin in combination with cefepime or piperacillin. Synergy was detected with all combinations by either the checkerboard or time-kill method. Synergy was not detected by the Etest method. The agreement between the time-kill test and Etest method was 72% (range 42-97%); for the time-kill and checkerboard tests, agreement was 51% (range 30-67%). The Etest method appears promising although further testing should be performed with additional antimicrobial agents and organisms.

Insights from the Society of Infectious Diseases Pharmacists on Antimicrobial Stewardship Guidelines from the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America

In 2007, the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America published a document that addressed the major considerations for the justification, description, and conduct of antimicrobial stewardship programs. Our document is intended to continue the dialogue of these formalized programmatic strategies. We briefly review the guidelines, including the two primary strategies (prospective auditing with feedback, and preauthorization), and the supplemental strategies (education, information technology, transitional therapy, deescalation or streamlining, and dose optimization). Discussions are introduced or furthered in the areas of program goals, barriers and solutions, and outcome measures. Definition and training of infectious diseases pharmacists are presented in detail. We offer keys to future success, which include continued collaboration and expanded use of information technology.

Comparison of methods of interpretation of checkerboard synergy testing

Four different methods for interpreting the results of checkerboard synergy testing were compared by applying each to a set of synergy study data. Statistically significant differences in synergy were detected among methods (% synergy ranged from 10 to 83%). As interpretations were found to vary widely based upon method, one should be aware of this in interpreting the relevant literature.

Assessment of the Relationship between Antimicrobial Usage and Susceptibility: Differences between the Hospital and Specific Patient-Care Areas

Current evidence suggests that controlling antibiotic resistance requires the monitoring of both susceptibility trends and antimicrobial usage within specific patient-care areas of the hospital. To assess the differences between antimicrobial usage-versus-susceptibility relationships found in the hospital and those relationships found in specific patient-care areas, susceptibility and antimicrobial usage data collected over a 5-year period (1992-1996) at the Medical University of South Carolina were analyzed. For each area, the relationship between drug use and susceptibility was analyzed for 8 gram-negative organisms with respect to 19 different agents and for 3 staphylococci with respect to 10 agents with use of simple linear regression. The relationships found in the hospital had a poorer overall agreement with the relationships found in the intensive care units (ICUs; <20%) than they did with the relationships found in the non-ICUs ( approximately 65%). Surveillance should include both susceptibility and drug usage patterns in individual areas within an institution.

Impact of Use of Multiple Antimicrobials on Changes in Susceptibility of Gram-Negative Aerobes

Evaluation of antimicrobial usage vs. susceptibility relationships typically involves single agents. However, susceptibility profiles may be affected by multiple drugs. From 1992 through 1996, we studied relationships between drug usage and the susceptibility (only susceptibility rates of > or = 70%) of Acinetobacter anitratus (baumannii), Enterobacter aerogenes, Escherichia coli, Enterobacter cloacae, Klebsiella pneumoniae, Pseudomonas aeruginosa, Proteus mirabilis, and Serratia marcescens to 22 agents. Linear regression was used to assess usage of each agent vs. susceptibility to it and to all agents. Only relationships with a coefficient of determination of > or = 0.5 and a negative slope were evaluated and classified as increasing drug use and decreasing susceptibility (increasing D, decreasing %S) or decreasing drug use and increasing susceptibility (decreasing D, increasing %S). The mean numbers (range) of drugs associated with a change in susceptibility were 1.7 (0-14) and 0.6 (0-7), respectively, for increasing D, decreasing %S and decreasing D, increasing %S relationships. Multiple antimicrobials are associated with susceptibility to other drugs; thus, surveillance of these relationships should not be limited to single drugs.

Antibiotic prophylaxis and tourniquet inflation in total knee arthroplasty.

Twenty-four patients receiving total knee arthroplasty (TKA) were randomized into one of three groups based on tourniquet inflation one, two, or five minutes after administration 1 g cefazolin. Simultaneous serum, soft-tissue, and bone samples were obtained at regular intervals during surgery. All soft-tissue and bone samples were corrected for cefazolin content. The percentage of cefazolin penetration into soft tissue and bone was calculated using the area under the concentration time curve. Adequate cefazolin concentrations for soft tissue and bone were defined as greater than or equal to 4 x minimum inhibitory concentration90 (MIC90 = 1 microgram/ml) of cefazolin to Staphylococcus aureus and coagulase-negative staphylococci. Patients were similar in age, actual body weight, creatinine clearance, and length of tourniquet inflation. The median percentage of cefazolin penetration into soft tissue and bone for the five-, two-, and one-minute groups was 14.5% and 4.6%, 6.7% and 3.0%, and 5.9% and 4.6%, respectively; the percentage of penetration into soft tissue between the five- and one-minute groups was statistically significant. A higher percentage of patients achieved the desired cefazolin concentration (greater than or equal to 4 micrograms/g) if a five-minute interval was selected. The five-minute group achieved the highest mean ratios of concentration to MIC compared with the two- and one-minute groups, although the differences were not statistically significant. The standard 1 g of cefazolin with a five-minute interval between administration and tourniquet inflation resulted in adequate mean soft-tissue and bone concentrations for prophylaxis during TKA with a tourniquet time less than two hours. Additional doses are not warranted after tourniquet release.

Aztreonam pharmacokinetics in burn patients.

The pharmacokinetics of aztreonam in eight adult patients with severe burn injuries (total body surface area burn, 49% +/- 21% [mean +/- standard deviation]) were studied. The time of initiation of study following burn injury was 7.0 +/- 1.4 days. Four patients at first dose and at steady state were studied. Aztreonam concentrations were measured by high-performance liquid chromatography, and a two-compartment model was used to fit the data. No significant differences in any pharmacokinetic parameters between first dose and steady state were observed. Volume of distribution of the central compartment after first dose (0.14 liters/kg) and volume of distribution at steady state (0.31 liters/kg) were approximately 30% higher than those reported for other patient populations. Total drug clearance and renal drug clearance when normalized to creatinine clearance (CLCR) were similar to those previously reported for other critically ill patients. CLCR was strongly correlated with renal drug clearance (r = 0.94) and total drug clearance (r = 0.95). The extent and degree of burn (percent second or third degree burn) were poorly correlated with all pharmacokinetic parameters with the exception of the volume of distribution at steady state, which was correlated with both total body surface area burn (r = 0.95) and percent second degree burn (r = 0.83). Aztreonam pharmacokinetics are altered as a result of thermal injury; however, CLCR can be used to assess the clearance of aztreonam in burn patients.

Determination of Antibiotic Effect in an In Vitro Pharmacodynamic Model: Comparison with an Established Animal Model of Infection

ABSTRACT Animal infection models have historically been used to study pharmacodynamic relationships. Similar results could theoretically be produced by using an in vitro pharmacodynamic model as an alternative to animal models. We compared the antibiotic effects of ticarcillin administered in various doses and dosing regimens against Pseudomonas aeruginosa ATCC 27853 under conditions analogous to those previously employed in a neutropenic-mouse thigh infection model (B. Vogelman et al., J. Infect. Dis. 158:831-847, 1988). Ticarcillin dosages of either 96, 192, or 384 mg/day were administered at 1-, 2-, 3-, 4-, 8-, 12-, or 24-h intervals into a two-compartment model in order to duplicate the concentration-time profiles of the animal model. Colony counts were enumerated at 0 and 24 h. Linear regression and sigmoidal maximum-effect (Emax) model fitting were used to assess the relationship between the percentage of time that the concentration remained above the MIC (%T>MIC) or above four times the MIC (%T>4×MIC) and the change in the log10 CFU per milliliter (Δlog10 CFU/ml) in the central and peripheral compartments. Statistical analysis of the Δlog10 CFU/ml values was performed for matched regimens of the in vitro and animal models based on the %T>MICs. The slopes of the regression equations of %T>MICs relative to Δlog10 CFU/ml values were similar for the in vitro and animal models, but the y intercept was greater with the in vitro model. The Δlog10 CFU/ml values of the 0- to 24-h colony counts at equivalent %T>MICs in the two models were not statistically different (P = 0.087). Overall, the peripheral compartment of the in vitro model was a better predictor of effect than the central compartment. This study, which compares pharmacodynamic principles between an in vitro and an animal model, demonstrated similar relationships between %T>MICs and effects.

Effect of removal of duplicate isolates on cumulative susceptibility reports

The objective of our study is to assess the impact of different methods of duplicate isolate removal on cumulative susceptibility reports. Over a 1-year period, we studied the effect of 3 methods of duplicate isolate removal on the cumulative percentage susceptibility of 9 Gram-negative bacilli to 15 antimicrobials. Raw data from which no duplicate isolates were removed (NR) were generated by the Sensititre breakpoint susceptibility testing system. D3 and D7 were methods of duplicate isolate removal defined as follows: same patient, bacterial species, irrespective of susceptibility within either three (D3) or seven (D7) calendar days of the date of the previous culture. The third method evaluated was an algorithm utilized by Cerner, a laboratory management program that defines duplicate isolates as follows: same patient, bacterial species, and NCCLS susceptibility category to an individual antimicrobial. Differences in percentage susceptibility between the three methods of duplicate isolate removal and NR were assessed. The number of isolates studied ranged from 80 (E. aerogenes) to 681 (P. aeruginosa). Of the methods of duplicate isolate removal, the highest percentage susceptibility occurred most frequently with Cerner followed by D7 and D3. Differences in percentage susceptibility between methods of removal and NR ranged from -11 to 25%, -5 to 8%, and -3 to 10%, with Cerner, D3, and D7, respectively. The percentage susceptibility was at least 5% higher than NR with a method of removal for 15 individual organism/antimicrobial combinations in which susceptibility was > or = 70% by at least one of the methods. These occurred most frequently with Enterobacter species and Cerner. Although there is no consensus on the ideal method of duplicate isolate removal, one should be cognizant that these manipulations may produce different cumulative susceptibility reports.

What in vitro models of infection can and cannot do.

The science of pharmacodynamics analyzes the relationship between an antimicrobials bactericidal effects and its pharmacokinetics. Ideally, randomized and well‐controlled clinical trials are the best way to determine pharmacodynamic properties. However, in vitro models that recapitulate in vivo drug clearance profiles represent an increasingly important technology for carrying out pharmacodynamic studies in a more cost‐effective, timely, and easily controlled fashion. Although in vitro pharmacodynamic models cannot incorporate all variables seen in vivo, they do provide valuable information for the drug development process and the determination of optimal dosing regimens.