Using susceptibility rates of Pseudomonas aeruginosa, Escherichia coli, Klebsiella pneumoniae, and Enterobacter cloacae over time as markers, we assessed the significance of the change of susceptibility rates to imipenem, ceftriaxone, cefepime, piperacillin/tazobactam, and ciprofloxacin over time and the relationship to antibiotic use for the period 2000–2006. Antibiotic use–susceptibility relationships were assessed using longitudinal regression analysis. The variables “time” and define daily doses (DDD)/1,000 patient days for the specific drug related to the susceptibility rates of that particular model’s dependent variable were considered as the main effects, with significance determined at the 0.05 level. Decreases in susceptibility of the target organisms were common over the period of observation. Decreasing susceptibility trends over time were not statistically associated with the primary drug (e.g., organism susceptibility rate to imipenem with imipenem usage). However, secondary drug use was associated with susceptibility rates (e.g., susceptibility of E. cloacae to cefepime with piperacillin/tazobactam usage). These results suggest that antibiotic use–resistance relationships are influenced by the use of secondary antibiotics. Thus, a resistance problem may not be adequately addressed by simply altering the utilization of the primary antibiotic.

The development and introduction of new antibiotics has, unfortunately, not kept pace with the development of bacterial resistance, and the need for new agents is becoming acute. Although some currently marketed agents remain valuable tools in the treatment of infectious diseases, few new drugs have reached the market in the last decade. In recent years, antibiotics with activity against certain problematic resistant bacteria such as methicillin-resistant Staphylococcus aureus, including linezolid and daptomycin, have been approved for clinical practice. Recently, tigecycline, a minocycline derivative, received approval by the United States Food and Drug Administration for treatment of complicated skin and skin structure and intraabdominal infections; the agent is also active against a variety of multidrug-resistant bacteria. Of the other agents in phase III development, ceftobiprole--a cephalosporin, and faropenem and doripenem--both carbapenems, have wide antibacterial spectra. Antimicrobial agents in the pipeline with marked gram-positive activity include dalbavancin, telavancin, and oritavancin.

ABSTRACT The pharmacokinetics of many drugs are altered in patients with cystic fibrosis (CF), often necessitating different dosage requirements than those used in non-CF patients. The objective of this study was to determine the pharmacokinetics of linezolid, an antibiotic with good activity against gram-positive organisms such as methicillin-resistant Staphylococcus aureus, in patients with CF so that dosage requirements could be established. Twelve adult patients (6 male) ranging in age from 22 to 39 years were studied. A single 600-mg dose was administered intravenously over 0.5 h, and plasma samples were collected at 0 (predose), 0.5, 0.75, 1, 2, 4, 8, and 24 h. Linezolid concentrations were determined with a validated high-performance liquid chromatography assay. Pharmacokinetic parameters were estimated using standard noncompartmental methods. Blood chemistry and hematologic indices were determined before and after the study for safety purposes. All patients completed the study without encountering any adverse reactions. The pharmacokinetic parameters, while variable, with half-lives varying from 1.76 to 8.36 h, were similar to those previously described in other populations. Mean (± standard deviation) values for pharmacokinetic parameters of interest were as follows: elimination rate constant, 0.21 (0.11) h−1; half-life, 4.41 (2.43); volume of distribution at steady state, 0.87 (0.19) liters/kg of body weight; and total body clearance, 0.12 (0.06) liters/h/kg. No patient would have achieved the pharmacodynamic target of an area under the concentration-time curve/MIC ratio of 83 h for pathogens for which the MIC was 4 μg/ml. Patients with inadequate clinical responses to linezolid may require more frequent dosing.

The misguided presumption that a simple inverse relationship exists between the use of antibiotics and the emergence of bacterial resistance (i.e., increasing antibiotic use equals decreasing susceptibility and vice versa) has handicapped a full understanding of this relationship and perhaps efforts to bring resistance under control. In fact, this relationship is complicated. This article reviews factors that obscure detection of associations between antibiotic use and the emergence of resistance. It also provides a sample of the extensive data on this subject in the hope of encouraging the conduct of more sophisticated studies of the relationship between antibiotic use and the emergence of resistance. Such studies are necessary to provide institutions with the data they need to make informed decisions regarding antibiotic use.

STUDY OBJECTIVE:To measure the influence of different surface area:volume ratios (SA:Vs) on antibiotic penetration and subsequent antibacterial effect.DESIGN:In vitro laboratory experiment.SETTING:Two academic research laboratories.INTERVENTION:The two models with effective SA:Vs of 5.34 and 4.80 cm(-1) were evaluated by conducting a time-kill experiment with Pseudomonas aeruginosa ATCC 27853 and ceftazidime.MEASUREMENTS AND MAIN RESULTS:Ceftazidime was administered by constant infusion into the central compartment. Its penetration into the peripheral compartment and bacterial counts were determined over 24 hours, and antibacterial effect was quantified. Antibiotic penetration, calculated using central compartment and peripheral compartment area under the concentration-time curves, and effect, quantified as the relationship between the areas under growth and kill curves, differed between the models. Antibiotic penetration into the peripheral compartment was 53% greater over the first 4 hours of the experiment in the model with the larger SA:V. This was associated with antibacterial effects that were 64% and 38% greater in the 0-4-hour and 0-24-hour time periods, respectively.CONCLUSION:Differences in antibiotic penetration and effect observed between these models are likely explained by differences in SA:V

INTRODUCTION:Formulary decisions regarding a given drug class are often made in the absence of patient outcome and/or sophisticated pharmacoeconomic data. Analyses that consider factors beyond simple acquisition costs may be useful in such situations. For example, the cost implications of using manufacturers' recommendations for dosing in patients with renal dysfunction may be important, depending on the distribution of various levels of renal function within a patient population. METHODS:Using four 1000-patient populations representing different renal function distributions and a fifth population of our medical center's distribution, we determined the costs of therapy for intravenous and oral levofloxacin, gatifloxacin, and moxifloxacin for a 10-day course of therapy for community-acquired pneumonia. Costs considered were average wholesale prices (AWPs), 50% of AWP, or same daily price, plus intravenous dose preparation and administration costs when applicable. Costs for each renal function distribution were examined for significant differences with an analysis-of-variance test. Also, costs of failing to adjust dosing regimens for decreased renal function were determined. RESULTS:Differences in fluoroquinolone costs (AWP, 50% AWP, or when matched as the same daily price) among the populations were found. When considering same daily prices, differences among populations ranged from about 35,000 dollars with intravenous gatifloxacin to more than 51,000 dollars for intravenous levofloxacin (all fluoroquinolones, p>0.05). Within a population, differences in costs among the intravenous fluoroquinolones ranged from 47,000-99,000 dollars. Rank orders of the drugs and population costs of therapy were affected by the pricing structure used and varied by the specific population and drug. Differences among the fluoroquinolones or populations were much smaller (<2100 dollars) when considering oral regimens. Costs potentially incurred by failing to adjust dosing for renal function were substantial. CONCLUSION:Formulary decisions can be facilitated by considering factors such as patient characteristics and related dosing in addition to simple acquisition costs. In our example, consideration of the distribution of renal function within a given patient population and related dosing for these fluoroquinolones revealed potentially important differences within the class.

Study Objective. To calculate and compare 24-hour area under the unbound drug concentration-time curves (AUC(0-24)) of antimicrobials with dosing recommendations from six commonly used dosing references.Intervention. Unbound plasma concentration-time profiles of 13 antimicrobial agents (4 penicillins, 3 cephalosporins, 2 carbapenems, aztreonam, 3 fluoroquinolones) were simulated at steady state using a one-compartment open model for a 70-kg adult based on pharmacokinetic parameters obtained from peer-reviewed literature. Simulations were performed at five levels of creatinine clearance (Cl-cr).Measurements and Main Results. Differences in AUC(0-24) for each antimicrobial agent were noted among the six references at each level of Cl-cr as well as within references across the range of Cl-cr In addition, up to 16-fold and 3-fold ranges in AUC(0-24) values were observed for beta-lactams and fluoroquinolones, respectively, in one reference based on dosing recommendations at a single level of Cl-cr (due to more than one dose and/or dosing interval).Conclusion. Clinicians should be aware of differences among common references when selecting dosages of antimicrobial agents, especially for patients with moderate-to-severe renal impairment.

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.

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.

The susceptibility of 4009 recent clinical isolates of Streptococcus pneumoniae to gatifloxacin, levofloxacin, ciprofloxacin, penicillin, ceftriaxone and azithromycin was determined. Overall rates of susceptibility to these agents were 99.4, 98.7, 71.2, 55.2, 80.9, and 71.3%, respectively. Resistance to all tested agents was associated with penicillin resistance. Of penicillin nonsusceptible isolates, 36% were resistant. Resistance to the fluoroquinolones was unusual and gatifloxacin generally appeared to be four-fold more active than levofloxacin or ciprofloxacin. Multidrug resistant S. pneumoniae accounted for 6.2% of this sample. The lowest rate of susceptibility to non-fluoroquinolone antibiotics was observed in isolates from the South region of the United States, which appeared to be explained by both the proportion of and the inherently higher MICs of certain types of isolates.

We evaluated the pharmacodynamics of imipenem and meropenem, utilizing time-kill studies over a concentration/MIC (C/MIC) range of 0.0625-1024 for E. coli ATCC 35218 (EC) and S. aureus ATCC 29213 (SA) and from 0.125-512 for B. fragilis ATCC 25285 (BF). Area under the time-kill curves were converted to percent response (%R). AUCs were calculated from drug concentrations corrected for degradation and %R vs. C/MIC and AUC/MIC were fit to a sigmoidal Emax model. Emax was similar for both agents for all organisms. Meropenem was 4x more potent than imipenem against EC based on the MIC and required 7 and 13.5-fold lower AUCs to achieve E50 and E90, (50% and 90% of the maximal response, respectively) respectively, whereas imipenem was 8x more potent than meropenem against SA based on the MIC and required 8 and 13-fold lower AUCs to achieve E50 and E90, respectively. The C/MIC and AUC/MIC to achieve E50 and E90 with imipenem were 2- and fourfold higher, respectively than meropenem against EC. There was less than a twofold difference in C/MICs and AUC/MIC between imipenem and meropenem for both E50 and E90 against SA. Against BF, concentrations and AUCs at E50 were similar for both agents; however, imipenem required 4 to 6-fold higher concentrations and AUC to achieve E90. Although there are differences in the potency of these agents as assessed by the MIC or AUC vs. response, when normalized by the MIC and corrected for drug degradation, these agents displayed similar pharmacodynamic parameter-response relationships.

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.

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.

ABSTRACT The pharmacokinetics of cefepime following administration of a single 2-g dose were evaluated for 12 adult patients with thermal burn injury and suspected or documented infection. Serial blood and urine samples for cefepime concentration determination were obtained for 24 h following drug administration. Serum and urine cefepime concentrations were determined by high-performance liquid chromatography and serum concentrations were fit to a two-compartment pharmacokinetic model. Mean (standard deviation [SD]) age, actual body weight (ABW), percent total body surface area burned, and days postburn at the time of study were 41 (13) years, 84 (22) kg, 36 (17)%, and 9 (3) days, respectively. Mean (SD) measured creatinine clearance (CL CR ), total clearance (CL T ), renal clearance (CL R ), alpha phase half-life, beta phase half-life, and volume of distribution at steady state ( V SS ) were 135 (31) ml/min, 8.8 (2.4) liters/h, 8.1 (2.0) liters/h, 0.33 (0.14) h, 2.8 (0.6) h, and 0.43 (0.10) liters/kg ABW, respectively. Cefepime CL T and CL R in burn patients were similar to previously reported values for healthy volunteers when normalized by CL CR . Stepwise multiple regression was used to associate CL T with CL CR and days postburn ( r 2 = 0.861), CL R with CL CR and days postburn ( r 2 = 0.773), nonrenal clearance with percent third-degree (% 3°) burn and albumin concentration ( r 2 = 0.550), and V SS only with % 3° burn ( r 2 = 0.624). Simulated steady-state serum concentrations obtained by using the patients’ pharmacokinetic parameters exceeded the susceptibility interpretive standard (breakpoint) of cefepime for at least 60% of the dosing interval with dosing regimens of 1 g every 8 h (q8h), 2 g q8h, and 2 g q12h. Despite differences in pharmacokinetic parameters between our patients and healthy volunteers, it appears that these dosing regimens may be adequate in similar burn patients.

Study Objective. To compare the efficacy of constant‐infusion ceftazidime (CTZ) with that of traditional intermittent dosing in a pilot trial.Design. Prospective, crossover trial.Subjects. Five adults with cystic fibrosis requiring intravenous antibiotic therapy for pulmonary exacerbations of the disease.Interventions. Patients were initially treated with standard CTZ 2 g 3 times/day for 10 days. At the next hospitalization patients were crossed over and CTZ was administered as a constant infusion at a rate determined to achieve a serum concentration 6.6 times the minimum inhibitory concentration (MIC) of the least susceptible Pseudomonas aeruginosa isolate.Measurements and Main Results. The pharmacokinetics of CTZ were determined, as were MICs for all P. aeruginosa isolates. Outcome parameters of interest were changes with therapy in white blood cell count, P. aeruginosa density in sputum, and pulmonary function test results. Differences in these parameters for the two forms of administration were not significant. With the exception of one patient who received 6 g/day with both regimens, the average reduction in dosage with the constant infusion was 50%.Conclusion. These preliminary data suggest that constant‐infusion CTZ may be as safe and efficacious as intermittent dosing.