Population Pharmacokinetic Analyses for Tebipenem after Oral Administration of Pro-Drug Tebipenem Pivoxil Hydrobromide.

Tebipenem pivoxil hydrobromide (TBP-PI-HBr) is an oral (PO) carbapenem pro-drug that is converted to the active moiety tebipenem in the enterocytes. Tebipenem has activity against multidrug-resistant Gram-negative pathogens, including extended-spectrum beta lactamase-producing Enterobacterales, and is being developed for the treatment of patients with complicated urinary tract infections (cUTI) and acute pyelonephritis (AP). The objectives of these analyses were to develop a population pharmacokinetic (PK) model for tebipenem using data from three phase 1 studies and one phase 3 study and to identify covariates that described the variability in tebipenem PK. Following construction of the base model, a covariate analysis was conducted. The model was then qualified by performing a prediction-corrected visual predictive check and evaluated by using a sampling-importance-resampling procedure. The final population PK data set was composed of data from 746 subjects who provided 3,448 plasma concentrations, including 650 patients (1,985 concentrations) with cUTI/AP. The final population PK model that best described tebipenem PK was found to be a two-compartment model with linear, first-order elimination and two transit compartments to describe the rate of drug absorption after PO administration of TBP-PI-HBr. The relationship between renal clearance (CLR) and creatinine clearance (CLcr), the most clinically significant covariate, was described using a sigmoidal Hill-type function. No dose adjustments are warranted on the basis of age, body size, or sex as none of these covariates were associated with substantial differences in tebipenem exposure in patients with cUTI/AP. The resultant population PK model is expected to be appropriate for model-based simulations and assessment of pharmacokinetic-pharmacodynamic relationships for tebipenem.

Development of Modernized Acinetobacter baumannii Susceptibility Test Interpretive Criteria for Recommended Antimicrobial Agents Using Pharmacometric Approaches.

Acinetobacter baumannii-Acinetobacter calcoaceticus complex (referred to herein as A. baumannii) treatment guidelines contain numerous older antimicrobial agents with susceptibility test interpretive criteria (STIC, also known as susceptibility breakpoints) set using only epidemiological data. We utilized a combination of in vitro surveillance data, preclinical murine thigh and lung infection models, population pharmacokinetics, simulation, and pharmacokinetic/pharmacodynamic (PK/PD) target attainment analyses to evaluate A. baumannii STIC for four commonly recommended antimicrobials from different classes (amikacin, ceftazidime, ciprofloxacin, and minocycline). Antimicrobial in vitro surveillance data were based on 1,647 clinical A. baumannii isolates obtained from 109 centers in the United States and Europe. Among these isolates, 5 were selected for evaluation in murine infection models based on fitness and MIC variability. PK and dose-ranging studies were conducted using neutropenic murine thigh and lung infection models The MIC ranges for the 5 isolates evaluated were as follows: amikacin, 2 to 32 µg/mL; ceftazidime, 4 to 16 µg/mL; ciprofloxacin, 0.12 to 2 µg/mL; minocycline, 0.25 to 4 µg/mL. All organisms grew ≥1.5 log10 CFU in both models in untreated controls. Plasma and epithelial lining fluid (ELF) pharmacokinetics for all drugs were determined in mice using liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods. For each isolate, 5 dose levels of each drug were tested individually in the thigh and lung infection model. The inoculum ranged from 7.9 to 8.4 and 6.8 to 7.7 log10 CFU/mL for the lung and thigh models, respectively. PK/PD targets associated with net bacterial stasis and 1- and 2-log10 CFU reductions from baseline were identified for each organism/infection model using Hill-type models. Population pharmacokinetic models for each agent were identified from the literature. Using demographic variables for simulated patients with hospital-acquired or ventilator-associated bacterial pneumonia or urinary tract infections (including acute pyelonephritis) who were administered maximal dosing regimens of each agent, estimates of protein binding, and ELF penetration ratios based on data from the literature, free-drug plasma and total-drug concentration-time profiles were generated, and PK/PD indices by MIC were calculated. Percent probabilities of attaining median and randomly assigned PK/PD targets associated with the above-described endpoints were determined. Recommended susceptible breakpoints for each agent were those representing the highest MIC at which the percent probabilities of achieving PK/PD targets associated with a 1-log10 CFU reduction from baseline approached or were ≥90%. The following susceptible breakpoints for A. baumannii were identified: amikacin, ≤8 µg/mL for pneumonia; ceftazidime, ≤32 and ≤8 µg/mL for pneumonia; ciprofloxacin, ≤1 µg/mL; and minocycline, ≤0.5/≤1 µg/mL which correspond to the standard and high minocycline dosing regimens of 200 mg per day and 200 mg every 12 h, respectively. Implementation of appropriate STIC will help clinicians optimally use the above-described agents and improve the likelihood of successful patient outcomes.

Evaluation of the Impact of Comorbidities on Omadacycline Pharmacokinetics.

Omadacycline is approved in the United States for the treatment of patients with community-acquired bacterial pneumonia or acute bacterial skin and skin structure infections. Analyses were undertaken to evaluate pharmacokinetic differences among subjects or patients stratified by comorbidities. Differences in clearance by smoking status, history of diabetes mellitus, chronic lung disease, hypertension, heart failure, or coronary artery disease were evaluated using a Welch two-sample t test. Smoking was the only significant comorbidity after correction for sex, with a clinically insignificant difference of 13%. Omadacycline dose adjustments based on these comorbidities do not appear to be warranted.

Evaluation of Oral Tebipenem as a Step-Down Therapy following Intravenous Ertapenem against Extended-Spectrum ß-Lactamase-Producing Escherichia coli in a Hollow-Fiber In Vitro Infection Model.

Tebipenem is an orally bioavailable carbapenem in development for the treatment of patients with complicated urinary tract infections. Herein, we describe the results of studies designed to evaluate tebipenem's potential as an oral (p.o.) transition therapy from intravenous (i.v.) ertapenem therapy for the most common uropathogen, Escherichia coli. These studies utilized a 7-day hollow-fiber in vitro infection model and 5 extended-spectrum ß-lactamase-producing E. coli challenge isolates. Human free-drug serum concentration-time profiles for tebipenem 600 mg p.o. every 8 h and ertapenem 1 g i.v. every 24 h were simulated in the hollow-fiber in vitro infection model. Samples were collected for bacterial density and drug concentration determination over the 7-day study period. Generally, ertapenem monotherapy resulted in a greater reduction in bacterial density than did tebipenem monotherapy. In the treatment arms in which ertapenem dosing was stopped following dosing for 1 or 3 days, immediate bacterial regrowth occurred and matched that of the growth control. Finally, in the treatment arms in which ertapenem dosing was stopped following dosing for 1 or 3 days and tebipenem dosing was initiated for the remainder of the 7-day study, the intravenous-to-oral transition regimen reduced bacterial burdens and prevented regrowth. Given that transition from intravenous to oral antibiotic therapy has been shown to reduce hospital length of stay, nosocomial infection risk, and cost, and improve patient satisfaction, these data demonstrate tebipenem's potential role as an oral transition agent from intravenous antibiotic regimens within the antibiotic stewardship paradigm.

Pharmacokinetic-Pharmacodynamic Target Attainment Analyses as Support for Meropenem-Vaborbactam Dosing Regimens and Susceptibility Breakpoints.

Meropenem-vaborbactam is a fixed-dose beta-lactam/beta-lactamase inhibitor with potent in vitro and in vivo activity against Klebsiella pneumoniae carbapenemase (KPC)-producing Enterobacterales. Pharmacokinetic-pharmacodynamic (PK-PD) target attainment analyses were undertaken using population pharmacokinetic models, nonclinical PK-PD targets for efficacy, in vitro surveillance data, and simulation to provide support for 2 g meropenem-2 g vaborbactam every 8 h (q8h) administered as a 3-h intravenous (i.v.) infusion, and dosing regimens adjusted for patients with renal impairment. Simulated patients varying by renal function measure (estimated glomerular filtration rate [eGFR], mL/min/1.73 m2 and absolute eGFR, mL/min) and resembling the clinical trial population (complicated urinary tract infection, including acute pyelonephritis) were generated. The PK-PD targets for meropenem, the percentage of time on day 1 that free-drug plasma concentrations were above the MIC (%T>MIC), and vaborbactam, the ratio of free-drug plasma area under the concentration-time curve (AUC) on day 1 to the MIC (AUC:MIC ratio), were calculated. Percent probabilities of achieving meropenem free-drug plasma %T>MIC and vaborbactam free-drug plasma AUC:MIC ratio targets were assessed. MIC distributions for Enterobacterales, KPC-producing Enterobacterales, and Pseudomonas aeruginosa were considered as part of an algorithm to assess PK-PD target attainment. For assessments of free-drug plasma PK-PD targets associated with a 1-log10 CFU reduction from baseline, percent probabilities of PK-PD target attainment ranged from 81.3 to 100% at meropenem-vaborbactam MIC values of 4 or 8 µg/mL among simulated patients. The results of these PK-PD target attainment analyses provide support for a dosing regimen of 2 g meropenem-2 g vaborbactam q8h administered as a 3-h i.v. infusion, with dosing regimens adjusted for patients with renal impairment and a meropenem-vaborbactam susceptibility breakpoint of ≤8 µg/mL (tested with a fixed vaborbactam concentration of 8 µg/mL) for Enterobacterales and P. aeruginosa based on these dosing regimens.

Population Pharmacokinetics of Meropenem and Vaborbactam Based on Data from Noninfected Subjects and Infected Patients.

Meropenem-vaborbactam is a broad-spectrum carbapenem-beta-lactamase inhibitor combination approved in the United States and Europe to treat patients with complicated urinary tract infections and in Europe for other serious bacterial infections, including hospital-acquired and ventilator-associated pneumonia. Population pharmacokinetic (PK) models were developed to characterize the time course of meropenem and vaborbactam using pooled data from two phase 1 and two phase 3 studies. Multicompartment disposition model structures with linear elimination processes were fit to the data using NONMEM 7.2. Since both drugs are cleared primarily by the kidneys, estimated glomerular filtration rate (eGFR) was evaluated as part of the base structural models. For both agents, a two-compartment model with zero-order input and first-order elimination best described the pharmacokinetic PK data, and a sigmoidal Hill-type equation best described the relationship between renal clearance and eGFR. For meropenem, the following significant covariate relationships were identified: clearance (CL) decreased with increasing age, CL was systematically different in subjects with end-stage renal disease, and all PK parameters increased with increasing weight. For vaborbactam, the following significant covariate relationships were identified: CL increased with increasing height, volume of the central compartment (Vc) increased with increasing body surface area, and CL, Vc, and volume of the peripheral compartment were systematically different between phase 1 noninfected subjects and phase 3 infected patients. Visual predictive checks demonstrated minimal bias, supporting the robustness of the final models. These models were useful for generating individual PK exposures for pharmacokinetic-pharmacodynamic (PK-PD) analyses for efficacy and Monte Carlo simulations to evaluate PK-PD target attainment.

Pharmacokinetic-Pharmacodynamic Evaluation of Ertapenem for Patients with Hospital-Acquired or Ventilator-Associated Bacterial Pneumonia.

Ertapenem provides activity against many pathogens commonly associated with hospital-acquired and ventilator-associated bacterial pneumoniae (HABP and VABP, respectively), including methicillin-susceptible Staphylococcus aureus and numerous Gram-negative pathogens with one major gap in coverage, Pseudomonas aeruginosa Pharmacokinetic-pharmacodynamic (PK-PD) target attainment analyses were conducted to evaluate ertapenem against the most prevalent Enterobacteriaceae causing HABP/VABP. The objective of these analyses was to provide dose selection support for and demonstrate the appropriateness of ertapenem to empirically treat patients with HABP/VABP when administered with murepavadin, a novel targeted antimicrobial exhibiting a highly specific spectrum of activity against P. aeruginosa A previously developed population pharmacokinetic model, a total-drug epithelial lining fluid (ELF) to free-drug serum penetration ratio, contemporary in vitro surveillance data for ertapenem against Enterobacteriaceae, and percentage of the dosing interval for which drug concentrations exceed the MIC value (%T>MIC) targets associated with efficacy were used to conduct Monte Carlo simulations for five ertapenem regimens administered over short or prolonged durations of infusion. Overall total-drug ELF percent probabilities of PK-PD target attainment based on a %T>MIC target of 35% among simulated patients with HABP/VABP arising from Enterobacteriaceae based on pathogen prevalence data for nosocomial pneumonia ranged from 89.1 to 92.7% for all five ertapenem regimens evaluated. Total-drug ELF percent probabilities of PK-PD target attainment ranged from 99.8 to 100%, 97.9 to 100%, 10.6 to 74.1%, and 0 to 1.50% at MIC values of 0.06, 0.12, 1, and 4 µg/ml, respectively (MIC90 values for Escherichia coli, Serratia marcescens, Enterobacter species, and Klebsiella pneumoniae, respectively). Results of these analyses provide support for the evaluation of ertapenem in combination with murepavadin for the treatment of patients with HABP/VABP.

Considerations for Dose Selection and Clinical Pharmacokinetics/Pharmacodynamics for the Development of Antibacterial Agents.

In June 2017, The National Institute of Allergy and Infectious Diseases, part of the National Institutes of Health, organized a workshop entitled "Pharmacokinetics-Pharmacodynamics (PK/PD) for Development of Therapeutics against Bacterial Pathogens" to discuss details and critical parameters of various PK/PD methods and identify approaches for linking human pharmacokinetic (PK) data and drug efficacy analyses. The workshop participants included individuals from academia, industry, and government. This and the accompanying minireview on nonclinical PK/PD summarize the workshop discussions and recommendations. It is important to consider how information like PK/PD can support the clinical effectiveness of new antibacterial drugs, as PK/PD data have become central to antibacterial drug development programs. Key clinical considerations for antibacterial dose selection and clinical PK/PD characterization discussed in this minireview include a robust assessment of PK in the patient population of interest, critical considerations for assessing drug penetration in the lung for the treatment of pneumonia, and an emphasis on special populations, including patients with renal impairment and augmented renal function, as well as on dosing in obese and pediatric patients. Successful application of such approaches is now used to provide a more informative drug development package to support the approval of new antibiotics.

Population pharmacokinetic analysis for a single 1,200-milligram dose of oritavancin using data from two pivotal phase 3 clinical trials.

Oritavancin is a lipoglycopeptide antibiotic with activity against Gram-positive bacteria. Here we describe oritavancin population pharmacokinetics and the impact of patient-specific covariates on drug exposure variability. Concentration-time data were analyzed from two phase 3 clinical trials, SOLO I and SOLO II, in which oritavancin was administered as a single 1,200-mg dose to patients with acute bacterial skin and skin structure infections. A total of 1,337 drug concentrations from 297 patients (90% of whom had 4 or 5 pharmacokinetic samples) were available for analysis. A previously derived population model based on data from 12 phase 1, 2, and 3 oritavancin studies was applied to the SOLO data set. Alterations to the structural model were made, as necessary, based on model fit. Analyses utilized Monte Carlo parametric expectation maximization (S-ADAPT 1.5.6). The previous population pharmacokinetic model fit the data well (r(2) = 0.972), and population pharmacokinetic parameters were estimated with acceptable precision and lack of bias. Covariate evaluations revealed statistically significant relationships between central compartment volume and age and between clearance and height; however, these relationships did not indicate a clinically relevant impact on oritavancin exposure over the range of age and height observed in the SOLO studies. The mean (coefficient of variation [CV]) area under the plasma concentration-time curve from time zero to 72 h (AUC0-72) and maximum plasma concentration (Cmax) were 1,530 (36.9%) µg · h/ml and 138 (23%) µg/ml, respectively. The mean (CV) half-life at alpha phase (t1/2α), t1/2ß, and t1/2γ were 2.29 (49.8%), 13.4 (10.5%), and 245 (14.9%) hours, respectively. These analyses are the first to describe oritavancin pharmacokinetics following a single 1,200-mg dose. Covariate analyses suggested that no dose adjustments are required for renal impairment (creatinine clearance, >29 ml/min), mild or moderate hepatic impairment, age, weight, gender, or diabetes status.

Population pharmacokinetic analyses for BC-3781 using phase 2 data from patients with acute bacterial skin and skin structure infections.

BC-3781, a pleuromutilin antimicrobial agent, is being developed for the treatment of patients with acute bacterial skin and skin structure infections (ABSSSI) and community-acquired bacterial pneumonia. Data from a phase 2 study of patients with ABSSSI were used to refine a previous population pharmacokinetic (PK) model and explore potential predictors of PK variability. The previously derived population PK model based on data from three phase 1 studies was applied to sparse sampling data from a phase 2 ABSSSI study and modified as necessary. Covariate analyses were conducted to identify descriptors (e.g., body size, renal function, age) associated with interindividual variability in PK. All population PK analyses were conducted by using Monte Carlo parametric expectation maximization implemented in S-ADAPT 1.5.6. The population PK data set contained 1,167 concentrations from 129 patients; 95% of the patients had 5 or more PK samples (median, 11). The previous population PK model (three-compartment model with first-order elimination and nonlinear protein binding) provided an acceptable and unbiased fit to the data from the 129 patients. Population PK parameters were estimated with acceptable precision; individual clearance values were particularly well estimated (median individual precision of 9.15%). Graphical covariate evaluations showed no relationships between PK and age or renal function but modest relationships between body size and clearance and volume of distribution, which were not statistically significant when included in the population PK model. This population PK model will be useful for subsequent PK-pharmacodynamic analyses and simulations conducted to support phase 3 dose selection. (This study has been registered at ClinicalTrials.gov under registration no. NCT01119105.).

Pharmacokinetic-pharmacodynamic determinants of oseltamivir efficacy using data from phase 2 inoculation studies.

Given the limited understanding about pharmacokinetic-pharmacodynamic (PK-PD) determinants of oseltamivir efficacy, data from two phase 2 influenza virus inoculation studies were evaluated. Healthy volunteers in studies 1 and 2 were experimentally infected with influenza A/Texas (the concentration of neuraminidase inhibitor which reduced neuraminidase activity by 50% [IC(50)] = 0.18 nM) or B/Yamagata (IC(50) = 16.76 nM), respectively. In study 1, 80 subjects received 20, 100, or 200 mg of oral oseltamivir twice daily (BID), 200 mg oseltamivir once daily, or placebo for 5 days. In study 2, 60 subjects received 75 or 150 mg of oral oseltamivir BID or placebo for 5 days. Oseltamivir carboxylate (OC) (active metabolite) PK was evaluated using individual PK data and a population PK model to derive individual values for area under the concentration-time curve from 0 to 24 h (AUC(0-24)), minimum concentration of OC in plasma (C(min)), and maximum concentration of OC in plasma (C(max)). Exposure-response relationships were evaluated for continuous (area under composite symptom score curve [AUCSC], area under the viral titer curve, and peak viral titer) and time-to-event (alleviation of composite symptom scores and cessation of viral shedding) efficacy endpoints. Univariable analyses suggested the existence of intuitive and highly statistically significant relationships between OC AUC(0-24 )evaluated as a 3-group variable and AUCSC, time to alleviation of composite symptom scores, and time to cessation of viral shedding. The upper OC AUC(0-24) threshold (~14,000 ng · h/ml) was similar among these endpoints. Multivariable analyses failed to demonstrate the influence of study/strain on efficacy endpoints. These results provide the first demonstration of exposure-response relationships for efficacy for oseltamivir against influenza and suggest that OC exposures beyond those achieved with the approved oseltamivir dosing regimen will provide enhanced efficacy. The clinical applicability of these observations requires further investigation.

Impact of different factors on the probability of clinical response in tigecycline-treated patients with intra-abdominal infections.

Patients with intra-abdominal infections differ with regard to the type of infection and the severity of illness. However, the impact of these factors, together with differences in drug exposure, on clinical response is not well understood. Using phase 2 and 3 data for patients with complicated intra-abdominal infections, the relative importance of tigecycline exposure, host factors, and disease factors, alone or in combination, for the probability of clinical response was examined. Patients with complicated intra-abdominal infections who received tigecycline intravenously as a 100-mg loading dose followed by 50 mg every 12 h for 5 to 14 days and who had adequate clinical, pharmacokinetic, and response data were evaluated. Multivariable logistic regression was used to identify factors associated with clinical response. A final multivariable logistic regression model demonstrated six factors based on 123 patients to be predictive of clinical success: a weight of <94 kg (P = 0.026), the absence of Pseudomonas aeruginosa in baseline cultures (P = 0.021), an APACHE II score of <13 (P = 0.029), non-Hispanic race (P = 0.005), complicated appendicitis or cholecystitis (P = 0.004), and a ratio of the area under the concentration-time curve (AUC) to the MIC (AUC/MIC ratio) of > or =3.1 (P = 0.003). The average model-predicted probability of clinical success when one unfavorable factor was present was 0.940. This probability was lower (0.855) when the AUC/MIC ratio was < 3.1 and the remaining five factors were set to the favorable condition. The average model-predicted probability of clinical success in the presence of two unfavorable factors was 0.594. These findings demonstrated the impact of individual and multiple factors on clinical response in the context of drug exposure.

Cost-Effectiveness of daptomycin versus vancomycin and gentamicin for patients with methicillin-resistant Staphylococcus aureus bacteremia and/or endocarditis.

BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is an increasingly common cause of bacteremia and endocarditis. The cost-effectiveness (CE) of daptomycin was compared with that of vancomycin-gentamicin in patients with MRSA bacteremia with or without endocarditis. METHODS: With use of data from an open-label, randomized study comparing daptomycin with vancomycin-gentamicin in the aforementioned patient population, 3 cost strata were considered: (1) study drug acquisition (daptomycin, $0.37/mg; vancomycin, $7/g; and gentamicin, $0.12/mg); (2) stratum 1 plus the cost of therapy for treatment failures and adverse events, therapeutic drug monitoring, and preparation and administration of all medications; and (3) stratum 2 plus hospital bed costs. Drug costs were based on mean wholesale price, with other costs based on those for a typical community hospital. Cost-effectiveness ratios were calculated as cost divided by proportion of successes. Sensitivity analyses were performed by varying the study drug cost. RESULTS: Forty-five (20 successes) and 44 (14 successes) patients received daptomycin and vancomycin-gentamicin, respectively. The respective median cost-effectiveness ratios for daptomycin and vancomycin-gentamicin for each cost stratum were as follows: $4082 (range, $1062-$13,893) and $560 (range, $66-$1649) for stratum 1 (P < .001); $4582 (range, $1109-$21,882) and $1635 (range, $163-$33,444) for stratum 2 (P = .026); $23,639 (range, $6225-$141,132) and $26,073 (range, $5349-$187,287) for stratum 3 (P = .82). Sensitivity analyses indicated that if the cost of vancomycin was $0, strata 3 cost-effectiveness ratios did not differ ($23,639 and $25,668, respectively; P = .85). Similar results between groups were seen among patients with bacteremia. CONCLUSIONS: When all costs of therapy were considered, the cost-effectiveness of daptomycin and vancomycin-gentamicin was similar, even if the cost of vancomycin was $0.

Effect of food and antacids on the pharmacokinetics of pirfenidone in older healthy adults.

Pirfenidone is a small, synthetic molecule under investigation for treatment of idiopathic pulmonary fibrosis. In an open-label, single-dose crossover study, the pharmacokinetics (PK) of pirfenidone were investigated with or without food and antacids in healthy adult volunteers. Concentrations of pirfenidone and its metabolites in plasma and urine were determined by liquid chromatography with tandem mass spectrometry, and candidate pharmacokinetic models were fit to plasma data using weighted, non-linear regression. The effect of food and antacids on pirfenidone exposure was evaluated by determining 'equivalence' using FDA guidelines. Adverse events were recorded by site personnel and classified by investigators on the basis of severity and relationship to study drug. Sixteen subjects yielded 64 pharmacokinetic profiles. The best fit was achieved using a five-compartment, linear model with an allowance for direct conversion to the primary metabolite (5-carboxy-pirfenidone). Coadministration with food decreased the rate and, to a lesser degree, the extent of pirfenidone absorption of absorption. Analysis of adverse events revealed a correlation between pirfenidone C(max) and the risk of gastrointestinal (GI) adverse events, suggesting that food may reduce the risk of certain adverse events associated with pirfenidone. Administration of pirfenidone with food has a modest effect on overall exposure but results in lower peak concentrations, which may improve tolerability.

Re-evaluation of the role of broad-spectrum cephalosporins against staphylococci by applying contemporary in-vitro results and pharmacokinetic-pharmacodynamic principles.

The potency of cefepime, ceftriaxone, and ceftazidime was assessed by CLSI broth microdilution methods against 41,644 S. aureus (63.2% oxacillin-susceptible) and 14,266 coagulase-negative staphylococci (CoNS; 22.2% oxacillin-susceptible) through the SENTRY Antimicrobial Surveillance Program database (1998-2004). Using normal volunteer pharmacokinetic data and a linear intermittent intravenous infusion model, and an animal-derived pharmacokinetic/pharmacodynamic (PK-PD) target of > or = 40% time above MIC, expected probabilities of target attainment (PTA) for cephems were evaluated using Monte Carlo simulation. Current CLSI breakpoints would rank the tested agents cefepime > or = ceftriaxone > ceftazidime and by PK-PD PTA cefepime > ceftazidime > ceftriaxone. Cefepime has a potency advantage over ceftazidime (four- to eight-fold) and superiority at the usual dosing over ceftriaxone (22.7-66.1%) for oxacillin-susceptible staphylococci. Ceftazidime pharmacokinetic overcomes by-weight activity disadvantages, while a low proportion (<5%) of active free-drug penalizes ceftriaxone in the PTA calculations. PTA remained at > or = 0.9 to a breakpoint of 8 mg/L for cefepime (1 g q8 or 12 hours) and ceftazidime and to a breakpoint of 2 mg/L for ceftriaxone. Regardless of applied breakpoint (CLSI or PKPD), cefepime has the widest and most potent anti-staphylococcal activity among commonly used "third- or fourth-generation" cephems. When used at doses > or = 3 g/day, cefepime assures maximal coverage of oxacillin-susceptible staphylococci whether using existing (CLSI) or modified (PK-PD) breakpoints. Ceftriaxone should be used with caution.

Voriconazole therapeutic drug monitoring.

We report on 28 patients who underwent voriconazole monitoring because of disease progression or toxicity. A relationship (P<0.025) between disease progression and drug concentration was detected. Favorable responses were observed in 10/10 patients with concentrations above 2.05 microg/ml, while disease progressed in 44% (n=18) of patients with concentrations below 2.05 microg/ml.

Pharmacokinetics-pharmacodynamics of cefepime and piperacillin-tazobactam against Escherichia coli and Klebsiella pneumoniae strains producing extended-spectrum beta-lactamases: report from the ARREST program.

The frequency of resistance to beta-lactams among nosocomial isolates has been increasing due to extended-spectrum beta-lactamase (ESBL)-producing enteric bacilli. Although clinical outcome data are desirable, assessment of clinical efficacy has been limited due to the lack of a statistically meaningful number of well-documented cases. Since time above the MIC (T>MIC) is the pharmacokinetic-pharmacodynamic (PK-PD) measure that best correlates with in vivo activity of beta-lactams, a stochastic model was used to predict the probability of PK-PD target attainment ranging from 30 (P30) to 70% (P70) T>MIC, for standard dosing regimens of both piperacillin-tazobactam and cefepime against Escherichia coli and Klebsiella pneumoniae ESBL phenotypes. The P70/30 T>MIC for cefepime at 2 g every 12 h against E. coli and K. pneumoniae was 0.99/1.0 and 0.96/1.0 and for a regimen of 1 g every 12 h was 0.96/1.0 and 0.93/0.99, respectively. For piperacillin-tazobactam at 3.375 g every 4 h against E. coli and K. pneumoniae, the P70/30 T>MIC was 0.77/0.96 and 0.48/0.77 and for a regimen of 3.375 g every 6 h was 0.28/0.91 and 0.16/0.69, respectively. These data suggest that the probability of achieving T>MIC target attainment rates is generally higher with cefepime than with piperacillin-tazobactam for present-day ESBL-producing strains when one uses contemporary dosing regimens.

Area under the inhibitory curve and a pneumonia scoring system for predicting outcomes of vancomycin therapy for respiratory infections by Staphylococcus aureus.

Treatment factors predictive of clinical and microbiological outcomes and the relationship between a pneumonia scoring system and clinical outcomes in vancomycin-treated patients with a Staphylococcus aureus-associated lower-respiratory-tract infection (LRTI) were studied. A computer database review identified patients for whom S. aureus was isolated from a respiratory-tract specimen between January 1 and December 31, 1998, and who had antimicrobials ordered within 72 hours of isolation of that organism. Through further review of individual patient charts, this group was restricted to those treated with vancomycin for a documented S. aureus-associated LRTI. Classification-and-regression-tree (CART) modeling was performed to determine which clinical variables were correlated with clinical outcomes and microbiological outcomes. Median changes in clinical pneumonia scores from baseline in two patient groups (those with clinical success and those with clinical failure) were compared. Seventy patients met the study criteria. CART modeling found that both outcomes were associated with area under the inhibitory curve (AUIC). The pneumonia scoring system was predictive of eventual clinical success as early as day 3 of treatment; having at least a 4-point decrease in the pneumonia score by day 3 was correlated with an 87% clinical success rate. Both AUIC and a pneumonia scoring system were useful for predicting clinical and microbiological outcomes of vancomycin therapy in patients with LRTIs caused by S. aureus.

Benchmarking in health-system pharmacy: current research and practical applications.

The application of benchmarking techniques to hospital pharmacy practice is discussed. Benchmarking is a process designed to discover best practices through a comparison of various competing methods aimed at achieving a particular goal. Benchmarking antimicrobial drug utilization and rates of bacterial resistance through comparison with a multitude of similar hospitals can be used by an institution both to identify potential problem areas in its pharmacy practice and to aid in establishing appropriate and attainable goals. The effectiveness of various activities targeted at reducing appropriate drug use can also be benchmarked. In 1993, the Benchmarking Program was established at Millard Fillmore Hospital. This program consists of a network of hospital pharmacists who supply data on antimicrobial use, antimicrobial management activities, and rates of antimicrobial resistance. The program was designed both to serve hospital pharmacies in optimizing antimicrobial management and to create a national database for evaluating relationships among antimicrobial use, management, and resistance. Hospitals participating in the Benchmarking Program receive an annual report that allows them to compare themselves with peer groups and with best-performing "benchmark hospitals." All data from U.S. hospitals contained in the Benchmarking Program database are pooled and analyzed to identify meaningful trends. However, information gained from the institutionwide data must be supplemented by studies at the patient level. Benchmarking antimicrobial drug use in an institutional setting can identify successes as well as potential problem areas in pharmacy practice and aid in establishing appropriate and attainable goals.