scholarly journals Comparative in vitro pharmacodynamics of imipenem and meropenem against Pseudomonas aeruginosa.

1996 ◽  
Vol 40 (4) ◽  
pp. 904-908 ◽  
Author(s):  
R White ◽  
L Friedrich ◽  
D Burgess ◽  
D Warkentin ◽  
J Bosso
Keyword(s):  
Drug Exposure ◽  
Antimicrobial Agents ◽  
Testing Procedure ◽  
Rank Test ◽  
Time Curve ◽  
Bacterial Killing ◽  
Drug Degradation ◽  
Concentration Time ◽  
Time Kill

MICs are commonly used to assess the in vitro activities of antimicrobial agents; however, they provide minimal information on the pattern of bacterial activities. Time-kill studies with extensive sampling allow assessment of both the rate and extent of bacterial killing and regrowth. We compared imipenem and meropenem by both MIC-MBC testing and a time-kill study with P. aeruginosa 27853. In the time-kill study, concentration/MIC ratios ranging from 0.0625 to 32 times the MIC were studied. The kill rate, time to 99.9% kill, doubling time of regrowth, and area under the bacterial killing curve (AUKC) were evaluated. Degradation during the testing procedure was accounted for by assessing actual drug exposure as determined by the area under the concentration-time curve. Pharmacodynamic parameters were compared by using the Wilcoxon signed-rank test. The modal MIC and MBC for imipenem were 2 and 4 micrograms/ml, respectively, and those for meropenem were 0.25 and 0.5 microgram/ml, respectively. In the time-kill study, both agents displayed concentration-dependent activity over a range of 0.25 to 4 times the MIC. Initial killing (0 to 1 h) was faster with imipenem at the same concentration/MIC ratios (P = 0.0506). The time to 99.9% kill was approximately 5 h for both agents. When regrowth occurred, the doubling rate for imipenem, which was the same as that for the growth control, was twice as rapid as that for meropenem. At the same concentrations, the AUKCs over 24 h were lower for meropenem than for imipenem (P = 0.0280); however, when normalized by MIC, imipenem resulted in smaller AUKCs. Comparison of plots of area under the concentration-time curve versus AUKC, which accounted for drug degradation and actual drug exposure, revealed that meropenem was three times more active than imipenem, rather than the eightfold difference suggested by MICs. Time-kill curves with extensive sampling and measurement of actual drug exposure, rather than traditional MIC testing, may more accurately assess differences in the in vitro activities of antimicrobial agents.

scholarly journals 1379. Determination of the Arbekacin Exposure Required to Prevent Amplification of Resistant Subpopulations Using Patient Pharmacokinetics Simulated in a Hollow-Fiber Infection Model (HFIM)

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S422-S423 ◽  
Author(s):  
Brian D VanScoy ◽  
Elizabeth A Lakota ◽  
Sujata M Bhavnani ◽  
Greg Giesel ◽  
Ana I Carranco ◽  
...  
Keyword(s):  
Drug Exposure ◽  
Antimicrobial Agents ◽  
Therapy Resistance ◽  
Step Function ◽  
Infection Model ◽  
Drug Resistant ◽  
Total Drug ◽  
Research Support ◽  
Time Curve ◽  
Concentration Time

Abstract Background ME1100 (arbekacin inhalational solution) is an aminoglycoside in clinical development for the treatment of patients with hospital-acquired and ventilator-associated bacterial pneumonia (HABP and VABP, respectively). Due to the increase in resistance of Staphylococcus aureus and Pseudomonas aeruginosa to many antimicrobial agents, it is important to understand the relationships between amplification of drug resistance and each of drug exposure and therapy duration. The objective of the studies described herein was to utilize the HFIM to determine the arbekacin exposure after ME1100 administration required to prevent the emergence of drug-resistant subpopulations. Methods Duplicate 10-day HFIM assays were completed in which arbekacin total-drug epithelial lining fluid (ELF) concentration–time profiles following inhalational administration of ME1100 every 12 hours were simulated. Four isolates, two methicillin-resistant S. aureus (Arbekacin MIC = 1 mg/L), and two P. aeruginosa (Arbekacin MIC = 4 mg/L), were exposed to total-drug ELF area under the concentration–time curve (AUC) values ranging from 217 to 25,053 mg hour/L, which were simulated using two different half-lives, 1 hour (α) and 6.93 hours (β). The initial bacterial burden was 1.0 × 108 CFU/mL. Samples were collected for enumeration of both the total and drug-resistant bacterial burdens and evaluation of pharmacokinetic samples using LC/MS–MS. Results Total-drug ELF AUC:MIC ratios required to prevent amplification of MRSA and P. aeruginosa resistance in the HFIM over 10 days were 1,512 and 2,942, respectively. The higher AUC:MIC ratio required to prevent resistance for P. aeruginosa was most likely due to the presence of a small colony variant population. The relationship between total-drug ELF AUC:MIC ratio and change in log10 CFU from baseline of the drug-resistant sub-populations found on agar plates on Day 10 took the form of an inverted-U for three pathogens and a step-function for one (Figure 1). Conclusion These data, which address the goal of considering arbekacin exposures that prevent the development of on-therapy resistance in a clinical setting, will help to provide guidance for future ME1100 dose selection for the treatment of patients with HABP/VABP. Disclosures B. D. VanScoy, Meiji Seika Pharma Co. Ltd.: Research Contractor, Research support. E. A. Lakota, Meiji Seika Pharma Co. Ltd.: Research Contractor, Research support. S. M. Bhavnani, Meiji Seika Pharma Co. Ltd.: Research Contractor, Research support. G. Giesel, Meiji Seika Pharma Co. Ltd.: Research Contractor, Research support. A. I. Carranco, Meiji Seika Pharma Co. Ltd.: Research Contractor, Research support. Y. Nagira, Meiji Seika Pharma Co. Ltd.: Employee, Salary. S. Ouchi, Meiji Seika Pharma Co. Ltd.: Employee, Salary. K. Kondo, Meiji Seika Pharma Co. Ltd.: Employee, Salary. P. G. Ambrose, Meiji Seika Pharma Co. Ltd.: Research Contractor, Research support.

scholarly journals Pharmacokinetic-Pharmacodynamic Characterization of Omadacycline against Haemophilus influenzae Using a One-Compartment In Vitro Infection Model

2020 ◽  
Vol 64 (6) ◽  
Author(s):  
Brian D. VanScoy ◽  
Elizabeth A. Lakota ◽  
Haley Conde ◽  
Jennifer McCauley ◽  
Lawrence Friedrich ◽  
...  
Keyword(s):  
Haemophilus Influenzae ◽  
Antimicrobial Agents ◽  
Nonlinear Least Squares ◽  
Infection Model ◽  
Least Squares Regression ◽  
Total Drug ◽  
Time Curve ◽  
Content Type ◽  
Concentration Time

ABSTRACT Omadacycline is a novel aminomethylcycline with activity against Gram-positive and -negative organisms, including Haemophilus influenzae, which is one of the leading causes of community-acquired bacterial pneumonia (CABP). The evaluation of antimicrobial agents against H. influenzae using standard murine infection models is challenging due to the low pathogenicity of this species in mice. Therefore, 24-h dose-ranging studies using a one-compartment in vitro infection model were undertaken with the goal of characterizing the magnitude of the ratio of the area under the concentration-time curve (AUC) to the MIC (AUC/MIC ratio) associated with efficacy for a panel of five H. influenzae isolates. These five isolates, for which MIC values were 1 or 2 mg/liter, were exposed to omadacycline total-drug epithelial lining fluid (ELF) concentration-time profiles based on those observed in healthy volunteers following intravenous omadacycline administration. Relationships between change in log10 CFU/ml from baseline at 24 h and the total-drug ELF AUC/MIC ratios for each isolate and for the isolates pooled were evaluated using Hill-type models and nonlinear least-squares regression. As evidenced by the high coefficients of determination (r2) of 0.88 to 0.98, total-drug ELF AUC/MIC ratio described the data well for each isolate and the isolates pooled. The median total-drug ELF AUC/MIC ratios associated with net bacterial stasis and 1- and 2-log10 CFU/ml reductions from baseline at 24 h were 6.91, 8.91, and 11.1, respectively. These data were useful to support the omadacycline dosing regimens selected for the treatment of patients with CABP, as well as susceptibility breakpoints for H. influenzae.

scholarly journals Novel Rate-Area-Shape Modeling Approach To Quantify Bacterial Killing and Regrowth forIn VitroStatic Time-Kill Studies

2014 ◽  
Vol 59 (1) ◽  
pp. 381-388 ◽  
Author(s):  
Soon-Ee Cheah ◽  
Jian Li ◽  
Roger L. Nation ◽  
Jürgen B. Bulitta
Keyword(s):  
Shape Modeling ◽  
Time Curve ◽  
Bacterial Killing ◽  
Shape Model ◽  
Content Type ◽  
Antibiotic Development ◽  
Modeling Approach ◽  
Model Free ◽  
Time Kill

ABSTRACTIn vitrostatic concentration time-kill (SCTK) studies are a cornerstone for antibiotic development and designing dosage regimens. However, mathematical approaches to efficiently model SCTK curves are scarce. The currently used model-free, descriptive metrics include the log10change in CFU from 0 h to a defined time and the area under the viable count versus time curve. These metrics have significant limitations, as they do not characterize the rates of bacterial killing and regrowth and lack sensitivity. Our aims were to develop a novel rate-area-shape modeling approach and to compare, against model-free metrics, its relative ability to characterize the rate, extent, and timing of bacterial killing and regrowth from SCTK studies. The rate-area-shape model and the model-free metrics were applied to data for colistin and doripenem against sixAcinetobacter baumanniistrains. Both approaches identified exposure-response relationships from 0.5- to 64-fold the MIC. The model-based approach estimated an at least 10-fold faster killing by colistin than by doripenem at all multiples of the MIC. However, bacterial regrowth was more extensive (by 2 log10) and occurred approximately 3 h earlier for colistin than for doripenem. The model-free metrics could not consistently differentiate the rate and extent of killing between colistin and doripenem. The time to 2 log10killing was substantially faster for colistin. The rate-area-shape model was successfully implemented in Excel. This new model provides an improved framework to distinguish between antibiotics with different rates of bacterial killing and regrowth and will enable researchers to better characterize SCTK experiments and design subsequent dynamic studies.

scholarly journals Pharmacokinetics-Pharmacodynamics of a Novel β-Lactamase Inhibitor, CB-618, in Combination with Meropenem in anIn VitroInfection Model

2016 ◽  
Vol 60 (7) ◽  
pp. 3891-3896 ◽  
Author(s):  
Brian D. VanScoy ◽  
Michael Trang ◽  
Jennifer McCauley ◽  
Haley Conde ◽  
Sujata M. Bhavnani ◽  
...  
Keyword(s):  
Antimicrobial Agents ◽  
Dose Fractionation ◽  
Infection Model ◽  
Time Curve ◽  
Content Type ◽  
Concentration Time ◽  
Wide Range ◽  
Dosing Regimens ◽  
Lactamase Inhibitor

ABSTRACTThe usefulness of β-lactam antimicrobial agents is threatened as never before by β-lactamase-producing bacteria. For this reason, there has been renewed interest in the development of broad-spectrum β-lactamase inhibitors. Herein we describe the results of dose fractionation and dose-ranging studies carried out using a one-compartmentin vitroinfection model to determine the exposure measure for CB-618, a novel β-lactamase inhibitor, most predictive of the efficacy when given in combination with meropenem. The challenge panel includedEnterobacteriaceaeclinical isolates, which collectively produced a wide range of β-lactamase enzymes (KPC-2, KPC-3, FOX-5, OXA-48, SHV-11, SHV-27, and TEM-1). Human concentration-time profiles were simulated for each drug, and samples were collected for drug concentration and bacterial density determinations. Using data from dose fractionation studies and a challengeKlebsiella pneumoniaeisolate (CB-618-potentiated meropenem MIC = 1 mg/liter), relationships between change from baseline in log10CFU/ml at 24 h and each of CB-618 area under the concentration-time curve over 24 h (AUC0–24), maximum concentration (Cmax), and percentage of the dosing interval that CB-618 concentrations remained above a given threshold were evaluated in combination with meropenem at 2 g every 8 h (q8h). The exposure measures most closely associated with CB-618 efficacy in combination with meropenem were the CB-618 AUC0–24(r2= 0.835) andCmax(r2= 0.826). Using the CB-618 AUC0–24indexed to the CB-618-potentiated meropenem MIC value, the relationship between change from baseline in log10CFU/ml at 24 h and CB-618 AUC0–24/MIC ratio in combination with meropenem was evaluated using the pooled data from five challenge isolates; the CB-618 AUC0–24/MIC ratio associated with net bacterial stasis and the 1- and 2-log10CFU/ml reductions from baseline at 24 h were 27.3, 86.1, and 444.8, respectively. These data provide a pharmacokinetics-pharmacodynamics (PK-PD) basis for evaluating potential CB-618 dosing regimens in combination with meropenem in future studies.

scholarly journals A New Approach to In Vitro Comparisons of Antibiotics in Dynamic Models: Equivalent Area under the Curve/MIC Breakpoints and Equiefficient Doses of Trovafloxacin and Ciprofloxacin against Bacteria of Similar Susceptibilities

1998 ◽  
Vol 42 (11) ◽  
pp. 2841-2847 ◽  
Author(s):  
Alexander A. Firsov ◽  
Sergey N. Vostrov ◽  
Alexander A. Shevchenko ◽  
Yury A. Portnoy ◽  
Stephen H. Zinner
Keyword(s):  
Antimicrobial Agents ◽  
Dynamic Models ◽  
Area Under The Curve ◽  
Time Curve ◽  
Linear Relationships ◽  
Control Growth ◽  
Wide Range ◽  
Equivalent Area ◽  
Time Kill

ABSTRACT Time-kill studies, even those performed with in vitro dynamic models, often do not provide definitive comparisons of different antimicrobial agents. Also, they do not allow determinations of equiefficient doses or predictions of area under the concentration-time curve (AUC)/MIC breakpoints that might be related to antimicrobial effects (AMEs). In the present study, a wide range of single doses of trovafloxacin (TR) and twice-daily doses of ciprofloxacin (CI) were mimicked in an in vitro dynamic model. The AMEs of TR and CI against gram-negative bacteria with similar susceptibilities to both drugs were related to AUC/MICs that varied over similar eight-fold ranges [from 54 to 432 and from 59 to 473 (μg · h/ml)/(μg/ml), respectively]. The observation periods were designed to include complete bacterial regrowth, and the AME was expressed by its intensity (the area between the control growth in the absence of antibiotics and the antibiotic-induced time-kill and regrowth curves up to the point where viable counts of regrowing bacteria equal those achieved in the absence of drug [I E]). In each experiment monoexponential pharmacokinetic profiles of TR and CI were simulated with half-lives of 9.2 and 4.0 h, respectively. Linear relationships between I E and log AUC/MIC were established for TR and CI against three bacteria: Escherichia coli (MIC of TR [MICTR] = 0.25 μg/ml; MIC of CI [MICCI] = 0.12 μg/ml), Pseudomonas aeruginosa (MICTR = 0.3 μg/ml; MICCI = 0.15 μg/ml), and Klebsiella pneumoniae(MICTR = 0.25 μg/ml; MICCI = 0.12 μg/ml). The slopes and intercepts of these relationships differed for TR and CI, and the I E-log AUC/MIC plots were not superimposed, although they were similar for all bacteria with a given antibiotic. By using the relationships betweenI E and log AUC/MIC, TR was more efficient than CI. The predicted value of the AUC/MIC breakpoint for TR [mean for all three bacteria, 63 (μg · h/ml)/(μg/ml)] was approximately twofold lower than that for CI. Based on theI E-log AUC/MIC relationships, the respective dose (D)-response relationships were reconstructed. Like the I E-log AUC/MIC relationships, theI E-log D plots showed TR to be more efficient than CI. Single doses of TR that are as efficient as two 500-mg doses of CI (500 mg given every 12 h) were similar for the three strains (199, 226, and 203 mg). This study suggests that in vitro evaluation of the relationships between I E and AUC/MIC or D might be a reliable basis for comparing different fluoroquinolones and that the results of such comparative studies may be highly dependent on their experimental design and datum quantitation.

scholarly journals Pharmacokinetic interaction between itraconazole and ceftriaxone in Yucatan miniature pigs.

1997 ◽  
Vol 41 (9) ◽  
pp. 2029-2032 ◽  
Author(s):  
A Cavalier ◽  
D Levêque ◽  
J D Peter ◽  
J Salmon ◽  
H Elkhaïli ◽  
...  
Keyword(s):  
Antimicrobial Agents ◽  
Efflux Pump ◽  
Pharmacokinetic Interaction ◽  
Time Curve ◽  
Miniature Pigs ◽  
Concentration Time ◽  
P Glycoprotein ◽  
Chronic Model ◽  
The Mean

Since ceftriaxone and itraconazole are highly protein bound, are excreted via a biliary pathway, and are in vitro modulators of the efflux pump P glycoprotein, a pharmacokinetic interaction between these antimicrobial agents can be hypothesized. Therefore, we evaluated the pharmacokinetics of itraconazole and ceftriaxone alone and in combination in a chronic model of catheterized miniature pigs. Itraconazole does not influence ceftriaxone kinetic behavior. The mean areas under the concentration-time curve (AUC) were 152.2 microg x h/ml (standard deviation [SD], 22.5) and 129.2 microg x h/ml (SD, 41.2) and the terminal half-lives were 1.1 h (SD, 0.3) and 0.9 h (SD, 0.2) when ceftriaxone was given alone and combined with itraconazole, respectively. Regarding itraconazole kinetics, ceftriaxone was shown to alter the disposition of the triazole. Contrary to what was expected, the AUC (from 0 to 8 h) decreased from 139.3 ng h/ml with itraconazole alone to 122.7 ng h/ml with itraconazole and ceftriaxone combined in pig 1, from 398.5 to 315.7 ng x h/ml in pig 2, and from 979.6 to 716.6 ng x h/ml in pig 3 (P of <0.01 by analysis of variance).

scholarly journals Twenty-four-hour area under the concentration-time curve/MIC ratio as a generic predictor of fluoroquinolone antimicrobial effect by using three strains of Pseudomonas aeruginosa and an in vitro pharmacodynamic model.

1996 ◽  
Vol 40 (3) ◽  
pp. 627-632 ◽  
Author(s):  
K J Madaras-Kelly ◽  
B E Ostergaard ◽  
L B Hovde ◽  
J C Rotschafer
Keyword(s):  
Antibacterial Effect ◽  
Antimicrobial Effect ◽  
Time Curve ◽  
Emax Model ◽  
Concentration Time ◽  
Mueller Hinton ◽  
Kill Curve ◽  
Time Kill ◽  
Mueller Hinton Broth

Several investigators have suggested that the 24-h area under the concentration-time curve (AUC)/MIC ratio (AUC/MIC24 or AUIC24) can be used to make comparisons of antimicrobial activity between fluoroquinolone antibiotics. Limited data exist regarding the generic predictive ability of AUC/MIC24 for the antimicrobial effects of fluoroquinolones. The purposes of the present investigation were to determine if the AUC/MIC24 can be used as a generic outcome predictor of fluoroquinolone antibacterial activity and to determine if a similar AUC/MIC24 breakpoint can be established for different fluoroquinolones. Using an in vitro pharmacodynamic model, 29 duplicate concentration time-kill curve experiments simulated AUC/MIC24s ranging from 52 to 508 SIT-1.h (inverse serum inhibitory titer integrated over time) with ciprofloxacin or ofloxacin against three strains of Pseudomonas aeruginosa. Each 24-h experiment was performed in cation-supplemented Mueller-Hinton broth with a starting inoculum of 10(6) CFU/ml. At timed intervals cation-supplemented Mueller-Hinton broth samples were collected for CFU and fluoroquinolone concentration determinations. Transformation of bacterial counts into the cumulative bacterial effect parameter of the 24-h area under the effect curve (AUEC24) was performed for each concentration time-kill curve. Multivariate regression analysis was used to compare pharmacodynamic predictors (AUC/MIC24, 24-h AUC, peak concentration [Cmax] to MIC ratios [Cmax:MIC], etc.) with ln AUEC24. To identify threshold breakpoint AUC/MIC24s, AUEC24s were stratified by the magnitude of AUC/MIC24 into subgroups, which were analyzed for differences in antibacterial effect. The Kruskal-Wallis test and subsequent Tukey's multiple comparison test were used to determine which AUC/MIC subgroups were significantly different. Multiple regression analysis revealed that only AUC/MIC24 (r2 = 0.65) and MIC (r2 = 0.03) were significantly correlated with antibacterial effect. At similar AUC/MIC24s, yet different MICs, Cmaxs, or elimination half-lives, the AUEC24s were similar for both fluoroquinolones. The relationship between AUC/MIC24 and ln AUEC24 was best described by a sigmoidal maximal antimicrobial effect (Emax) model (r2 = 0.72; Emax = 9.1; AUC/MIC50 = 119 SIT-1.h; S = 2.01 [S is an exponent that reflects the degree of sigmoidicity]). Ciprofloxacin-bacteria AUC/MIC24 values of < 100 SIT-1.h were significantly different (P < 0.05) from the AUC/MIC24 values of > 100 SIT-1.h. An ofloxacin AUC/MIC24 of > 100 SIT-1.h and an AUC/MIC24 of < 100 SIT-1.h exhibited a trend toward a significant difference (P > 0.05 but < 0.1). The inverse relationship between drug exposure and MIC increase postexposure was described by a sigmoidal fixed Emax model (AUC/MIC24, r2 = 0.40; AUC/MIC50 = 95 SIT-1.h; S = 1.97; Cmax:MIC, r2 = 0.41; Cmax:MIC50 = 7.3; S = 2.01). These data suggest that AUC/MIC24 may be the most descriptive measurement of fluoroquinolone antimicrobial activity against P. aeruginosa, that ofloxacin and ciprofloxacin have similar AUC/MIC24 threshold breakpoints at approximately 100 SIT-1.h, that the concentration-dependent selection of resistant organisms may parallel the threshold breakpoint of the antimicrobial effect, and that AUC/MIC24 generically describes the antibacterial effects of different fluoroquinolones.

Pharmacokinetics of an oral VEGF receptor tyrosine kinase inhibitor (PTK787/ZK222584) in patients with myelodysplastic syndrome (MDS): Cancer and Leukemia Group B Study 10105

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6573-6573 ◽  
Author(s):  
P. Gupta ◽  
A. A. Miller ◽  
K. Owzar ◽  
D. J. Murry ◽  
B. L. Sanford ◽  
...  
Keyword(s):  
Growth Factor ◽  
Tyrosine Kinases ◽  
Drug Exposure ◽  
Kinase Inhibitor ◽  
Rank Test ◽  
Pharmacokinetic Parameters ◽  
Vegf Receptor ◽  
Time Data ◽  
Time Curve ◽  
Concentration Time

6573 Background: Angiogenesis may contribute to the pathophysiology of myelodysplastic syndromes (MDS). PTK787/ZK222584 (PTK/ZK; Novartis and Schering AG) inhibits vascular endothelial growth factor (VEGF), platelet derived growth factor (PDGF) and c-kit receptor tyrosine kinases. Methods: We evaluated early toxicity and pharmacokinetics in a Phase II trial of PTK/ZK in patients with MDS. Patients received PTK/ZK 1,250 mg orally once daily on 28-day courses until disease progression or unacceptable toxicity. A two compartment model with first order absorption and an inducible clearance was fit to serial concentration time data using a MAP Bayesian algorithm as implemented in ADAPT II software. Results: We report preliminary toxicity and pharmacokinetics on 56 of 80 pts enrolled between March 2004 and January 2005. The most common CTC grade ≥2 non-hematological toxicities observed were fatigue, nausea, vomiting, dizziness and ataxia. The initial area under the concentration-time curve (AUCinit) ranged from 25.5–423.1 mg*h/L (mean, 105 mg*h/L). The induced AUC (AUCind) ranged from 8.2–265.3 mg*h/L (mean, 56.2 mg*h/L). There was a significant decrease in drug exposure (Hodges-Lehmann Estimate 45.2 mg*h/L [95% CI=30.5,60.0]; Wilcoxon signed rank test p <0.0001), likely due to CYP3A4 auto-induction. However, there was no statistical correlation between AUCinit and AUCind for individual patients. Because of marked inter-individual heterogeneity observed in AUCinit and AUCind, we examined if drug exposure correlated with toxicity during the first 2 courses. On exploratory analyses, there was no relationship between pharmacokinetic parameters (AUCinit, AUCind or a function of both AUCs) and the occurrence or grade of non-hematological toxicities. Conclusions: Drug exposure declined significantly within 7–14 days after starting treatment with PTK/ZK. In this sample, there was no statistical evidence suggesting that variability in drug exposure was associated with non-hematological toxicities of PTK/ZK in patients with MDS. No significant financial relationships to disclose.

scholarly journals An Optimized Mouse Thigh Infection Model for Enterococci and Its Impact on Antimicrobial Pharmacodynamics

2014 ◽  
Vol 59 (1) ◽  
pp. 233-238 ◽  
Author(s):  
Carlos A. Rodriguez ◽  
Maria Agudelo ◽  
Javier M. Gonzalez ◽  
Omar Vesga ◽  
Andres F. Zuluaga
Keyword(s):  
Drug Exposure ◽  
Culture Conditions ◽  
Infection Model ◽  
Time Curve ◽  
Unbound Fraction ◽  
Concentration Time ◽  
Inoculum Preparation ◽  
High Level

ABSTRACTNegligiblein vivogrowth of enterococci and high-level dispersion of data have led to inaccurate estimations of antibiotic pharmacodynamics (PD). Here we improved anin vivomodel apt for PD studies by optimizing thein vitroculture conditions for enterococci. The PD of vancomycin (VAN), ampicillin-sulbactam (SAM), and piperacillin-tazobactam (TZP) against enterococci were determinedin vivo, comparing the following different conditions of inoculum preparation: aerobiosis, aerobiosis plus mucin, and anaerobiosis plus mucin. Drug exposure was expressed as the ratio of the area under the concentration-time curve for the free, unbound fraction of the drug to the MIC (fAUC/MIC) (VAN) or the time in a 24-h period that the drug concentration for the free, unbound fraction exceeded the MIC under steady-state pharmacokinetic conditions (fT>MIC) (SAM and TZP) and linked to the change in log10CFU/thigh. Only anaerobiosis plus mucin enhanced thein vivogrowth, yielding significant PD parameters with all antibiotics. In conclusion, robustin vivogrowth of enterococci was crucial for better determining the PD of tested antibacterial agents, and this was achieved by optimizing the procedure for preparing the inoculum.

scholarly journals In VitroPharmacodynamics of Simulated Pulmonary Exposures of Tigecycline Alone and in Combination againstKlebsiella pneumoniaeIsolates Producing a KPC Carbapenemase

2011 ◽  
Vol 55 (4) ◽  
pp. 1420-1427 ◽  
Author(s):  
Dora E. Wiskirchen ◽  
Pornpan Koomanachai ◽  
Anthony M. Nicasio ◽  
David P. Nicolau ◽  
Joseph L. Kuti
Keyword(s):  
Multidrug Resistant ◽  
Pharmacodynamic Model ◽  
High Dose ◽  
Prolonged Infusion ◽  
Bacterial Killing ◽  
Epithelial Lining Fluid ◽  
Multidrug Resistant Organisms ◽  
Time Kill ◽  
Additional Reduction

ABSTRACTMultidrug-resistantKlebsiella pneumoniaestrains that produce a serine carbapenemase (KPC) are emerging worldwide, with few therapeutic options that retain consistent susceptibility. The objective of this study was to determine the effect of combination therapy with tigecycline versus tigecycline alone against KPC-producing isolates (KPC isolates). Anin vitropharmacodynamic model was used to simulate adult steady-state epithelial lining fluid concentrations of tigecycline (50 mg every 12 h) given alone and in combination with either meropenem (2 g by 3-hour infusion every 8 h) or rifampin (600 mg every 12 h). Five KPC isolates with various phenotypic profiles were exposed over 48 h. Time-kill curves were constructed, and the areas under the bacterial killing and regrowth curves (AUBCs) were calculated. No regimens tested were able to maintain bactericidal reductions in CFU over 48 h. The AUBCs for tigecycline and meropenem monotherapies at 48 h ranged from 375.37 to 388.11 and from 348.62 to 383.83 (CFU-h/ml), respectively. The combination of tigecycline plus meropenem significantly reduced the AUBCs at 24 and 48 h for isolates with tigecycline MICs of ≤2 μg/ml and meropenem MICs of ≤16 μg/ml (P< 0.001) but added no additional activity when the meropenem MIC was 64 μg/ml (P= 0.5). Rifampin provided no additional reduction in CFU or AUBC over tigecycline alone (P= 0.837). The combination of tigecycline with high-dose, prolonged-infusion meropenem warrants further study as a potential treatment option for these multidrug-resistant organisms.

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