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Background: Our primary aim was to test whether cattle-associated fluoroquinolone-resistant (FQ-R) Escherichia coli found on dairy farms are closely phylogenetically related to those causing bacteriuria in humans living in the same 50 × 50 km geographical region suggestive of farm-human sharing. Another aim was to identify risk factors for the presence of FQ-R E. coli on dairy farms.Methods: FQ-R E. coli were isolated during 2017-18 from 42 dairy farms and from community urine samples. Forty-two cattle and 489 human urinary isolates were subjected to WGS, allowing phylogenetic comparisons. Risk factors were identified using a Bayesian regularization approach.Results: Of 489 FQ-R human isolates, 255 were also third-generation-cephalosporin-resistant, with strong genetic linkage between aac(6')Ib-cr and blaCTX-M-15. We identified possible farm-human sharing for pairs of ST744 and ST162 isolates, but minimal core genome SNP distances were larger between farm-human pairs of ST744 and ST162 isolates (71 and 63 SNPs, respectively) than between pairs of isolates from different farms (7 and 3 SNPs, respectively). Total farm fluoroquinolone use showed a positive association with the odds of isolating FQ-R E. coli, while total dry cow therapy use showed a negative association.Conclusions: This work suggests that FQ-R E. coli found on dairy farms have a limited impact on community bacteriuria within the local human population. Reducing fluoroquinolone use may reduce the on-farm prevalence of FQ-R E. coli and this reduction may be greater when dry cow therapy is targeted to the ecology of resistant E. coli on the farm. [ABSTRACT FROM AUTHOR]

Objectives: Third-generation cephalosporin-resistant Escherichia coli from community-acquired urinary tract infections are increasingly reported worldwide. We sought to determine and characterize the mechanisms of cefotaxime resistance employed by urinary E. coli obtained from primary care, over 12 months, in Bristol and surrounding counties in South-West England.Methods: Cefalexin-resistant E. coli isolates were identified from GP-referred urine samples using disc susceptibility testing. Cefotaxime resistance was determined by subsequent plating onto MIC breakpoint plates. β-Lactamase genes were detected by PCR. WGS was performed on 225 isolates and analyses were performed using the Center for Genomic Epidemiology platform. Patient information provided by the referring general practices was reviewed.Results: Cefalexin-resistant E. coli (n=900) isolates were obtained from urines from 146 general practices. Following deduplication by patient approximately 69% (576/836) of isolates were cefotaxime resistant. WGS of 225 isolates identified that the most common cefotaxime-resistance mechanism was blaCTX-M carriage (185/225), followed by plasmid-mediated AmpCs (pAmpCs) (17/225), AmpC hyperproduction (13/225), ESBL blaSHV variants (6/225) or a combination of both blaCTX-M and pAmpC (4/225). Forty-four STs were identified, with ST131 representing 101/225 isolates, within which clade C2 was dominant (54/101). Ciprofloxacin resistance was observed in 128/225 (56.9%) of sequenced isolates, predominantly associated with fluoroquinolone-resistant clones ST131 and ST1193.Conclusions: Most cefalexin-resistant E. coli isolates were cefotaxime resistant, predominantly caused by blaCTX-M carriage. The correlation between cefotaxime resistance and ciprofloxacin resistance was largely attributable to the high-risk pandemic clones ST131 and ST1193. Localized epidemiological data provide greater resolution than regional data and can be valuable for informing treatment choices in the primary care setting. [ABSTRACT FROM AUTHOR]

Objectives: To use a pre-clinical infection model to assess the antibacterial effect of human simulations of dosing with ceftolozane/tazobactam (with or without amikacin) or meropenem against Enterobacteriaceae and Pseudomonas aeruginosa.Methods: An in vitro pharmacokinetic model was used to assess changes in bacterial load and profiles after exposure to mean human serum concentrations over 168 h. Changes in area under the bacterial kill curve (AUBKC; log cfu/mL·h) and growth on 4 × MIC recovery plates were the co-primary outcome measures.Results: Simulations of ceftolozane/tazobactam at 1 g/0.5 g or 2 g/1 g q8h or meropenem 2 g q8h all produced a >4 log reduction in bacterial load of Escherichia coli. Meropenem had smaller AUBKC values, indicating greater reduction in bacterial load than ceftolozane/tazobactam. Meropenem was also more effective than ceftolozane/tazobactam against Klebsiella pneumoniae strains. All regimens were equally effective in reducing P. aeruginosa bacterial load measured by AUBKC but growth on 4 × MIC recovery plates and changes in population profiles were only seen with meropenem. Addition of amikacin at 15 mg/kg q24h or 7.5 mg/kg q12h to 2 g/1 g of ceftolozane/tazobactam produced greater reductions in bacterial load but generated changes in amikacin population profiles with the 7.5 mg/kg q12h amikacin simulation.Conclusions: The doses of ceftolozane/tazobactam simulated were highly effective in reducing the bacterial load of E. coli (MIC ≤0.25 mg/L), but less so for K. pneumoniae (MIC 4 mg/L). For both species, meropenem produced an overall greater reduction in pathogen load. Ceftolozane/tazobactam and meropenem were equally effective as monotherapy against P. aeruginosa but emergence of resistance occurred with meropenem. Addition of amikacin to ceftolozane/tazobactam reduced the bacterial load of P. aeruginosa at the expense of emergence of resistance to amikacin. [ABSTRACT FROM AUTHOR]

Background: The pharmacodynamics of inhaled antimicrobials are poorly studied. Amikacin is being developed for inhalational therapy as BAY 41-6551.Objectives: We employed an in vitro pharmacokinetic model to study the pharmacokinetics/pharmacodynamics of amikacin.Methods: A dose-ranging design was used to establish fAUC/MIC and fCmax/MIC targets for static, -1 log drop and -2 log drop effects for strains of Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa. We then modelled epithelial lining fluid (ELF) concentration associated with inhaled amikacin (400 mg every 12 h), over 5 days using mean human concentrations.Results: The 24 h static effect fAUC/MIC targets and -1 log drop targets were 51.0 ± 26.7 and 71.6 ± 27.6 for all species of aerobic Gram-negative bacilli. fAUC/MIC targets for static effect, -1 log drop or -2 log drop were smaller than the 24 h values at 12 h and larger at 48 h. Emergence of resistance occurred maximally with E. coli in the fAUC/MIC range 12-60; K. pneumoniae 0-60 (48 h) and P. aeruginosa 12-80. When human ELF concentrations were modelled for strains with MIC ≤8 mg/L, there was rapid clearance and no regrowth. For strains with MIC ≥32 mg/L, there was initial clearance followed by regrowth. If MIC values were related to bacterial clearance then at least a static effect or -1 log drop in count would be expected for bacterial strains with MICs of ≤180 mg/L (static effect) or ≤148 mg/L (-1 log drop effect).Conclusions: An fAUC/MIC amikacin target of 50-80 is appropriate for aerobic Gram-negative bacilli and mean ELF concentrations of BAY 41-6551 would produce a static to -1 log clearance with strains up to 128 mg/L. [ABSTRACT FROM AUTHOR]

Objectives: Pharmacodynamics of β-lactamase inhibitors are an area of intense interest as new β-lactam/β-lactamase inhibitor combinations enter clinical development and clinical practice. Avibactam, a non-β-lactam β-lactamase inhibitor, has been combined with ceftaroline or ceftazidime but these two combinations have not been directly compared.Methods: Using an in vitro pharmacokinetic model we simulated human drug concentration-time courses associated with ceftaroline 600 mg every 8 h and ceftazidime 2000 mg every 8 h. Avibactam was given by continuous infusion at a range of concentrations up to 10 mg/L and antibacterial effect assessed against a CTX-M-producing Escherichia coli , AmpC-hyperproducing Enterobacter cloacae and KPC-producing Klebsiella pneumoniae. Simulations were performed over 72 h.Results: Avibactam, at a concentration of 1-2 mg/L, produced maximum bacterial clearance over 72 h for the E. coli and E. cloacae strains with both ceftaroline and ceftazidime. Avibactam (4 mg/L) was required for maximum reduction in bacterial load with the KPC-producing K. pneumoniae. A series of dose fractionation experiments were performed with avibactam against each of the three strains and AUC, C max or T  >   avibactam concentration of 1, 2 or 4 mg/L related to antibacterial effect as measured by change in bacterial count at 24 h. AUC or C max were best related to 24 h antibacterial effect for avibactam though there was no consistent pattern favouring one over the other.Conclusions: As AUC is a much easier and more reliable pharmacokinetic measure than C max , it would be useful to explore how AUC-based indices for avibactam exposures could be used for translating the results of the present study into patients' therapy. [ABSTRACT FROM AUTHOR]

Objectives: Dose-ranging experiments were performed to study the pharmacodynamics of ceftaroline against Enterobacteriaceae.Methods: A range of fT>MIC values (0%-100%) were simulated over 96 h using a single-compartment dilutional in vitro pharmacokinetic model using Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Citrobacter koseri and Serratia marcescens (n = 16). Antibacterial effect was assessed by change in viable count and population profiles by growth on ceftaroline MIC ×2, ×4 and ×8 agar plates. The fT>MIC (%) was related to antibacterial effect using a sigmoid Emax model.Results: The 24 h bacteriostatic effect fT>MIC was 39.7% ± 15.7% and 43.2% ± 15.6% for a -1 log drop for all strains. E. coli required lower exposures than K. pneumoniae, i.e. 24 h fT>MIC for a -3 log drop in viable count was 40.0% ± 9.6% and 84.8% ± 15.2% for K. pneumoniae. Similarly at 96 h, fT>MIC was >100% for K. pneumoniae (for four of five strains), 27.2%-66.2% for E. coli and 16.2%-86.6% for P. mirabilis. Strain-to-strain variation within species in the fT>MIC for static and cidal effect was marked; the 24 h bacteriostatic range was 14.1%-73.4% for P. mirabilis, 34.2%-44.6% for E. coli and 42.2%-62.5% for K. pneumoniae. Changes in ceftaroline population analysis profiles were observed with E. coli, K. pneumoniae and C. koseri, especially at fT>MIC values just below the bacteriostatic effect exposures.Conclusions: The pharmacodynamics of ceftaroline against the species within the Enterobacteriaceae group are different. K. pneumoniae requires higher drug exposures than E. coli, and P. mirabilis strains are highly variable, which may have important clinical correlates. Translational extrapolations from preclinical observations using E. coli to other Enterobacteriaceae species may not be optimal. [ABSTRACT FROM AUTHOR]

In vitro pharmacokinetic models are excellent tools with which to study an antibacterial''s pharmacodynamics (pD), being flexible, adaptable, low cost, and correlating well with animal and human systems. They can be used to perform simple descriptive studies on antibacterial effect, determine the dominant pD factor and its magnitude for antibacterial effect, and finally be used to assess the effect of dosing on emergence of resistance. A wide range of model designs are used and some standardisation maybe of value in the near future, however it is clear that in vitro models in conjunction with animal studies and human trials offer an excellent way of studying drug dosing to optimise outcomes. [Copyright &y& Elsevier]

• The pharmacodynamics of plazomicin were studied in a pre-clinical model of infection. • Plazomicin AUC/MIC ratios for 24-h static and bactericidal effects were determined for E. coli and K. pneumoniae. • Plazomicin AUC/MIC targets align with amikacin. The new aminoglycoside plazomicin shows in vitro potency against multidrug-resistant Enterobacteriales. The exposure–response relationship of plazomicin and the comparator aminoglycoside amikacin was determined for Escherichia coli , while for Klebsiella pneumoniae only plazomicin was tested. An in vitro pharmacokinetic model was used. Five E. coli strains (two meropenem-resistant) and five K. pneumoniae strains (two meropenem-resistant) with plazomicin MICs of 0.5–4 mg/L were used. Antibacterial effect was assessed by changes in bacterial load and bacterial population profile. The correlation between change in initial inoculum after 24 h of drug exposure and the AUC/MIC ratio was good (plazomicin R 2 ≥ 0.8302; amikacin R 2 ≥ 0.9520). Escherichia coli plazomicin AUC/MIC ratios for 24-h static, –1, –2 and –3 log drop were 36.1 ± 18.4, 39.3 ± 20.9, 41.2 ± 21.9 and 44.8 ± 24.3, respectively, and for amikacin were 49.5 ± 12.7, 55.7 ± 14.8, 64.1 ± 19.2 and 73.3 ± 25.3. Klebsiella pneumoniae plazomicin AUC/MIC ratios for 24-h static, –1, –2 and –3 log drop were 34.0 ± 15.2, 46.8 ± 27.8, 67.4 ± 46.5 and 144.3 ±129.8. Plazomicin AUC/MIC ratios >66 and amikacin AUC/MIC ratios >57.7 were associated with suppression of E. coli growth on 4 × or 8 × MIC recovery plates. The equivalent plazomicin AUC/MIC to suppress resistance emergence with K. pneumoniae was >132. The plazomicin AUC/MIC for 24-h static effect and –1 log reduction in E. coli and K. pneumoniae bacterial load was in the range 30–60. Plazomicin AUC/MIC targets aligned with those of amikacin for E. coli. [ABSTRACT FROM AUTHOR]

The chemotherapeutic options against NDM-1-producing Enterobacteriaceae infections are limited and therefore combination therapy is gaining momentum to counter the secondary resistance and potential suboptimal efficacy of monotherapy. Colistin and fosfomycin are two separate classes of antimicrobial agents that act on bacterial cells by different mechanisms. Hence, there is a potential for both synergy and antagonism. In this study, the antibacterial effects (ABEs) of colistin and fosfomycin were systematically investigated by time–kill curve studies over 48 h as well as in an in vitro pharmacokinetic model over 96 h against six well characterised strains of NDM-1-producing Enterobacteriaceae (three isolates resistant and three susceptible to fosfomycin) at a standard inoculum of 10 6 CFU/mL. Clinically achievable free serum concentrations of colistin sulphate and fosfomycin were used. In a single-chamber in vitro model, peak/trough concentrations ( C max / C min ) and the half-life ( t 1/2 ) for fosfomycin (250/40 mg/L and 2.7 h, respectively) and colistin sulphate (3.0/0.75 mg/L and 4 h, respectively) were used, along with a growth control. ABEs were measured by the decrease in viable bacterial counts (log kill), area under the bacterial kill curve (AUBKC) and population analysis profile (PAP). The combination of colistin and fosfomycin compared with either agent alone achieved increased bacterial killing and decreased the chance of emergence of resistance. Also, the ABEs of the combination were sustained for a longer duration and were evident both against fosfomycin-sensitive and -resistant strains. This study provides important information and support for the role of combination therapy against multidrug-resistant Gram-negative bacteria with limited therapeutic options. [ABSTRACT FROM AUTHOR]

The pharmacodynamics of intravenous fosfomycin have not been described for Gram-positive pathogens such as Staphylococcus aureus (S. aureus). This paper described the dominant pharmacodynamic index for fosfomycin against S. aureus and its size for antibacterial effect. A single-compartment dilutional in vitro pharmacokinetic model was used to provide fosfomycin exposures against S. aureus , three methicillin-susceptible S. aureus (MSSA), two methicillin-resistant S. aureus (MRSA); fosfomycin MICs were 2 mg/L (one strain), 4 mg/L (one strain), 8 mg/L (two strains) and 16 mg/L (one strain). For all simulations, a fosfomycin half-life of 2.5 hours was modelled. Cmax/MICs from 0–74.8, AUC/MICs from 0–750 and T>MIC 0–100% were simulated. The primary end-points were changes in bacterial load after 24 hours and changes in population profiles after 48 hours. Log AUC/MIC R2 = 0.55 and log Cmax/MIC R2 = 0.66 were related to S. aureus log reduction in viable count at 24 hours; T>MIC was poorly related. Cmax/MIC for a 24 hour static, –1 log drop and –2 log drop were 3.0 ± 1.7, 4.6 ± 2.4 and 6.6 ± 3.8, respectively. AUC/MIC for a 24 hour static, –1 log drop and –2 log drop were 26.4 ± 11.8, 42.8 ± 21.8 and 66.6 ± 39.1. Emergence of resistance as indicated by > 2 log growth on MICx8 recovery media was maximal at AUC/MIC ratios of 10–40 and was suppressed at AUC/MIC ratios of ≥ 250. The dominant pharmacodynamic index for fosfomycin against S. aureus was Cmax/MIC in terms of reduction of bacterial load and AUC/MIC in terms of suppressing emergence of resistance. AUC/MIC ratios of 20–75 were associated with a –1 log reduction in bacterial load and AUC/MIC of 10–40 maximally increased emergence of resistance. [ABSTRACT FROM AUTHOR]