Christopher M. Rubino

Pharmacokinetics-Pharmacodynamics of Antimicrobial Therapy: It's Not Just for Mice Anymore

Since the advent of the modern era of antimicrobial chemotherapy in the 1930s, animal infection models have allowed for the in vivo evaluation of antimicrobial agents for the treatment of experimentally induced infection. Today, animal pharmacokinetic-pharmacodynamic (PK-PD) infection models serve as a cornerstone of the preclinical assessment process for antibacterial agents and dose and dosing interval selection, as decision support for setting in vitro susceptibility breakpoints, and, finally, for the evaluation of the meaning of in vitro resistance. Over the past 15 years, considerable PK-PD data have been derived from infected patients for many classes of antimicrobial agents. These data provide the opportunity to confirm knowledge gained from animal PK-PD infection models.

Oritavancin Population Pharmacokinetics in Healthy Subjects and Patients with Complicated Skin and Skin Structure Infections or Bacteremia

ABSTRACT Oritavancin is a novel glycopeptide antimicrobial agent with potent in vitro activity against a wide variety of gram-positive bacteria, including multidrug-resistant strains of staphylococci and enterococci. A population pharmacokinetic model was developed to describe the disposition of oritavancin with data from a pooled population of phase 1 healthy subjects and phase 2 and 3 patients with complicated skin and skin structure infections or Staphylococcus aureus bacteremia. In addition, the potential influence of factors such as the subjects age, gender, and clinical laboratory measures on oritavancin disposition was evaluated. Oritavancin was administered as both single- and multiple-dose intravenous (i.v.) infusions in fixed doses ranging from 100 to 800 mg or weight-based doses ranging from 0.02 to 10 mg/kg of body weight, with infusion durations ranging from 0.13 to 6.5 h across all studies. The most robust fit to the data (n = 6,290 oritavancin plasma concentrations from 560 subjects) was obtained using a three-compartment model with zero-order i.v. infusion and first-order elimination. The model was parameterized using total clearance (CL), volume of central compartment (Vc), distributional clearances from the central to both the first and second peripheral compartments, and volumes of distribution for both the first and second peripheral compartments. Weight and study phase (phase 1 versus phase 2/3) were identified as significant predictors of the interindividual variability in CL, while body surface area and age were significant for Vc. These results suggest that dose modification may be warranted in patients weighing >110 kg. However, the mild nature of the observed relationships for Vc suggest that dosing adjustments are not necessary for elderly patients.

Worldwide Antimicrobial Susceptibility Patterns and Pharmacodynamic Comparisons of Gatifloxacin and Levofloxacin against Streptococcus pneumoniae: Report from the Antimicrobial Resistance Rate Epidemiology Study Team

ABSTRACT The use of fluoroquinolones for the treatment of community-acquired respiratory tract infection is increasing. Since for Streptococcus pneumoniae a ratio of the 24-h area under the concentration-time curve (AUC24) for the agent to the MIC (AUC24/MIC) greater than 30 for the fraction of unbound drug (fu) is the major pharmacokinetic-pharmacodynamic (PK-PD) parameter correlating with bacterial eradication by fluoroquinolones in nonclinical models of infection and in infected patients, the Antimicrobial Resistance Rate Epidemiology Study Team systematically compared the in vitro susceptibility patterns and estimated the probability of attainment of the PK-PD target ratios for gatifloxacin and levofloxacin against pneumococci worldwide. Monte Carlo simulation was used to estimate the probability that gatifloxacin or levofloxacin would achieve an fu AUC24/MIC ratio of 30 or greater. A total of 10,978 S. pneumoniae isolates collected from 1997 to 2000, each indexed by site of infection and geographic region (North America, Latin America, Europe, and Asia-Pacific), were used to estimate the probability mass functions of the microbiological activities for each region considered in the analysis. fu AUC24 probability distribution functions were estimated by using data that were part of each products submission accepted by the Food and Drug Administration. A 10,000-patient simulation was performed for each drug-organism-region combination. The percentages of strains susceptible to each drug by region were as follows: for gatifloxacin, North America, 99.6%; Latin America, 99.8%; Europe, 99.9%; and Asia-Pacific, 99.2%; for levofloxacin, North America, 99.6%; Latin America, 99.8%; Europe, 99.8%; and Asia-Pacific, 99.1%. The MIC at which 50% of isolates are inhibited (MIC50) and the MIC90 of each drug by region were as follows: for gatifloxacin, North America, 0.25 and 0.5 mg/liter, respectively; Latin America, 0.25 and 0.5 mg/liter, respectively; Europe, 0.25 and 0.5 mg/liter, respectively; and Asia-Pacific, 0.25 and 0.5 mg/liter, respectively; for levofloxacin, North America, 1 and 2 mg/liter, respectively; Latin America, 1 and 2 mg/liter, respectively; Europe, 1 and 1 mg/liter, respectively; and Asia-Pacific, 1 and 1 mg/liter, respectively. The probabilities of attaining an fu AUC24/MIC ratio greater than 30 for each drug by region were as follows: for gatifloxacin, North America, 97.6%; Latin America, 98.3%; Europe, 99.1%; and Asia-Pacific, 98.8%; for levofloxacin, North America, 78.9%; Latin America, 84.1%; Europe, 87.1%; and Asia-Pacific, 86.5%. These results for a very large collection of recent clinical strains demonstrate that, globally, gatifloxacin is two- to fourfold more active than levofloxacin against S. pneumoniae and that gatifloxacin has an overall 14.3% higher probability of achieving clinically important PK-PD target ratios than levofloxacin.

Pharmacological and Patient-Specific Response Determinants in Patients with Hospital-Acquired Pneumonia Treated with Tigecycline

ABSTRACT Pharmacokinetic and clinical data from tigecycline-treated patients with hospital-acquired pneumonia (HAP) who were enrolled in a phase 3 clinical trial were integrated in order to evaluate pharmacokinetic-pharmacodynamic (PK-PD) relationships for efficacy. Univariable and multivariable analyses were conducted to identify factors associated with clinical and microbiological responses, based on data from 61 evaluable HAP patients who received tigecycline intravenously as a 100-mg loading dose followed by 50 mg every 12 h for a minimum of 7 days and for whom there were adequate clinical, pharmacokinetic, and response data. The final multivariable logistic regression model for clinical response contained albumin and the ratio of the free-drug area under the concentration-time curve from 0 to 24 h (fAUC0–24) to the MIC (fAUC0–24:MIC ratio). The odds of clinical success were 13.0 times higher for every 1-g/dl increase in albumin (P < 0.001) and 8.42 times higher for patients with fAUC0–24:MIC ratios of ≥0.9 compared to patients with fAUC0–24:MIC ratios of <0.9 (P = 0.008). Average model-estimated probabilities of clinical success for the albumin/fAUC0–24:MIC ratio combinations of <2.6/<0.9, <2.6/≥0.9, ≥2.6/<0.9, and ≥2.6/≥0.9 were 0.21, 0.57, 0.64, and 0.93, respectively. For microbiological response, the final model contained albumin and ventilator-associated pneumonia (VAP) status. The odds of microbiological success were 21.0 times higher for every 1-g/dl increase in albumin (P < 0.001) and 8.59 times higher for patients without VAP compared to those with VAP (P = 0.003). Among the remaining variables evaluated, the MIC had the greatest statistical significance, an observation which was not surprising given the differences in MIC distributions between VAP and non-VAP patients (MIC50and MIC90 values of 0.5 and 0.25 mg/liter versus 16 and 1 mg/liter for VAP versus non-VAP patients, respectively; P = 0.006). These findings demonstrated the impact of pharmacological and patient-specific factors on the clinical and microbiological responses.

Population Pharmacokinetic Analysis for a Single 1,200-Milligram Dose of Oritavancin Using Data from Two Pivotal Phase 3 Clinical Trials

ABSTRACT 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 (r2 = 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), t1/2β, 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.

Tigecycline Population Pharmacokinetics in Patients with Community- or Hospital-Acquired Pneumonia

ABSTRACT Tigecycline is a new-generation of tetracycline (glycylcyclines) and is active in vitro against bacteria that possess any of the classical genes that confer tetracycline resistance through ribosomal protection or efflux pumps. Herein, tigecycline disposition in patients with community- or hospital-acquired pneumonia was described using a population pharmacokinetic model. Additionally, the influence of covariates, such as body surface area, severity of illness, and clinical laboratory measures, on tigecycline disposition was evaluated. An intravenous loading dose of 100 mg was followed by 50 mg of tigecycline every 12 h. The final population pharmacokinetic model was a two-compartment model with linear elimination and with a relationship between tigecycline clearance and body surface area and creatinine clearance. The model was parameterized using total clearance (CL), the volume of the central compartment, distributional clearance from the central to the peripheral compartment, and volumes of distribution at steady state. Relationships between body surface area and creatinine clearance were identified as significant predictors of interindividual variability on CL. This model will serve as the basis for estimating tigecycline exposure for pharmacokinetic-pharmacodynamic analyses for efficacy and safety among patients with community- or hospital-acquired pneumonia.

Pharmacokinetics-Pharmacodynamics of Tigecycline in Patients with Community-Acquired Pneumonia

ABSTRACT Exposure-response analyses for efficacy and safety were performed for tigecycline-treated patients suffering from community-acquired pneumonia. Data were collected from two randomized, controlled clinical trials in which patients were administered a 100-mg loading dose followed by 50 mg of tigecycline every 12 h. A categorical endpoint, success or failure, 7 to 23 days after the end of therapy (test of cure) and a continuous endpoint, time to fever resolution, were evaluated for exposure-response analyses for efficacy. Nausea/vomiting, diarrhea, headache, and changes in blood urea nitrogen concentration (BUN) and total bilirubin were evaluated for exposure-response analyses for safety. For efficacy, ratios of the free-drug area under the concentration-time curve at 24 h to the MIC of the pathogen (fAUC0-24:MIC) of ≥12.8 were associated with a faster time to fever resolution; patients with lower drug exposures had a slower time to fever resolution (P = 0.05). For safety, a multivariable logistic regression model demonstrated that a tigecycline AUC above a threshold of 6.87 mg · hr/liter (P = 0.004) and female sex were predictive of the occurrence of nausea and/or vomiting (P = 0.004). Although statistically significant, the linear relationship between tigecycline exposure and maximum change from baseline in total bilirubin is unlikely to be clinically significant.

Frequentist and Bayesian Pharmacometric-Based Approaches to Facilitate Critically Needed New Antibiotic Development: Overcoming Lies, Damn Lies and Statistics

ABSTRACT Antimicrobial drug development has greatly diminished due to regulatory uncertainty about the magnitude of the antibiotic treatment effect. Herein we evaluate the utility of pharmacometric-based analyses for determining the magnitude of the treatment effect. Frequentist and Bayesian pharmacometric-based logistic regression analyses were conducted by using data from a phase 3 clinical trial of tigecycline-treated patients with hospital-acquired pneumonia (HAP) to evaluate relationships between the probability of microbiological or clinical success and the free-drug area under the concentration-time curve from time zero to 24 h (AUC0-24)/MIC ratio. By using both the frequentist and Bayesian approaches, the magnitude of the treatment effect was determined using three different methods based on the probability of success at free-drug AUC0-24/MIC ratios of 0.01 and 25. Differences in point estimates of the treatment effect for microbiological response (method 1) were larger using the frequentist approach than using the Bayesian approach (Bayesian estimate, 0.395; frequentist estimate, 0.637). However, the Bayesian credible intervals were tighter than the frequentist confidence intervals, demonstrating increased certainty with the former approach. The treatment effect determined by taking the difference in the probabilities of success between the upper limit of a 95% interval for the minimal exposure and the lower limit of a 95% interval at the maximal exposure (method 2) was greater for the Bayesian analysis (Bayesian estimate, 0.074; frequentist estimate, 0.004). After utilizing bootstrapping to determine the lower 95% bounds for the treatment effect (method 3), treatment effect estimates were still higher for the Bayesian analysis (Bayesian estimate, 0.301; frequentist estimate, 0.166). These results demonstrate the utility of frequentist and Bayesian pharmacometric-based analyses for the determination of the treatment effect using contemporary trial endpoints. Additionally, as demonstrated by using pharmacokinetic-pharmacodynamic data, the magnitude of the treatment effect for patients with HAP is large.

Evaluation of Tigecycline Penetration into Colon Wall Tissue and Epithelial Lining Fluid Using a Population Pharmacokinetic Model and Monte Carlo Simulation

ABSTRACT The objective of these analyses was to assess the penetration of tigecycline into colon wall tissue and epithelial lining fluid (ELF). The analyses included data from subjects without infection (phase 1) and patients with intra-abdominal infections (phase 2/3). Steady-state serum samples were collected from all subjects/patients (n = 577), while colon wall specimens (n = 23) and ELF specimens (n = 30) were obtained from subjects without infection. Tissue and serum data were simultaneously comodeled by using the BigNPAG program, and a four-compartment, open model with zero-order intravenous input and first-order elimination was employed. To examine the full range of tissue penetration and the associated probabilities of occurrence, a 9,999-subject Monte Carlo simulation was performed with two outputs, one for ELF penetration and one for colon wall tissue penetration. Data were well fit using models described above, with all r2 values above 0.95. For subjects without infection, the median (5th and 95th percentiles) colon wall and ELF penetration ratios were 1.73 (0.160 and 199) and 1.15 (0.561 and 5.23), respectively. Simulation results predict that tissue penetration varies considerably and likely explain unexpected clinical outcomes for those patients infected with strains at margins of the MIC distribution.

Pharmacokinetic-Pharmacodynamic Target Attainment Analyses to Evaluate In Vitro Susceptibility Test Interpretive Criteria for Ceftaroline against Staphylococcus aureus and Streptococcus pneumoniae

ABSTRACT To provide support for in vitro susceptibility test interpretive criteria decisions for ceftaroline against Staphylococcus aureus and Streptococcus pneumoniae, as well as dose adjustment recommendations for renal impairment, pharmacokinetic-pharmacodynamic (PK-PD) target attainment was evaluated for simulated patients administered intravenous (i.v.) ceftaroline fosamil at 600 mg twice daily (q12h) and simulated patients with renal impairment administered various dosing regimens. Using a previously developed population PK model, Monte Carlo simulation was used to generate ceftaroline plasma concentration profiles for simulated patients with normal renal function or mild, moderate, or severe renal impairment. Using these profiles, the percentage of time during the dosing interval that free-drug concentrations remained above the MIC (f%T>MIC) for ceftaroline at steady state was calculated. Percentages of simulated patients achieving f %T>MIC targets for S. aureus and S. pneumoniae based on murine infection models were calculated by MIC. At MICs of 2 mg/liter for S. aureus and 1 mg/liter for S. pneumoniae, the percentages of simulated patients with normal renal function and mild renal impairment following administration of ceftaroline fosamil at 600 mg q12h, moderate renal impairment following administration of ceftaroline fosamil at 400 mg q12h, and severe renal impairment following administration of ceftaroline fosamil at 300 mg q12h achieving f %T>MIC targets (≥26 for S. aureus and ≥44 for S. pneumoniae) exceeded 90%. The results of these analyses, which suggested that in vitro susceptibility test interpretive criteria defining susceptible could be as high as MICs of ≤2 and ≤1 mg/liter for ceftaroline against S. aureus and S. pneumoniae, respectively, provide support for current FDA and CLSI criteria, which define susceptible as MICs of 1 and 0.5 mg/liter, respectively. Recommendations for dose adjustments for patients with renal impairment were also supported by the results of these analyses.