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Article

Pharmacokinetic/Pharmacodynamic Adequacy of Novel β-Lactam/β-Lactamase Inhibitors against Gram-Negative Bacterial in Critically Ill Patients

Department of Pharmacy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, China
*
Authors to whom correspondence should be addressed.
Antibiotics 2021, 10(8), 993; https://doi.org/10.3390/antibiotics10080993
Submission received: 23 July 2021 / Revised: 10 August 2021 / Accepted: 14 August 2021 / Published: 17 August 2021
(This article belongs to the Section Pharmacokinetics and Pharmacodynamics of Drugs)

Abstract

:
The optimal regimens of novel β-lactam/β-lactamase inhibitors (BLBLIs), ceftazidime/avibactam, ceftolozane/tazobactam, and meropenem/vaborbactam, are not well defined in critically ill patients. This study was conducted to identify optimal regimens of BLBLIs in these patients. A Monte Carlo simulation was performed using the published data to calculate the joint probability of target attainment (PTA) and the cumulative fraction of response (CFR). For the target of β-lactam of 100% time with free drug concentration remains above minimal inhibitory concentrations, the PTAs of BLBLIs standard regimens were <90% at a clinical breakpoint for Enterobacteriaceae and Pseudomonas aeruginosa. For ceftazidime/avibactam, 2000 mg/500 mg/8 h by 4 h infusion achieved >90% CFR for Escherichia coli; even for 4000 mg/1000 mg/6 h by continuous infusion, CFR for Klebsiella pneumoniae was <90%; the CFRs of 3500 mg/875 mg/6 h by 4 h infusion and 4000 mg/1000 mg/8 h by continuous infusion were appropriate for Pseudomonas aeruginosa. For ceftolozane/tazobactam, the CFR of standard regimen was >90% for Escherichia coli, however, 2000 mg/1000 mg/6 h by continuous infusion achieved <90% CFRs for Klebsiella pneumoniae and Pseudomonas aeruginosa. For meropenem/vaborbactam, standard regimen achieved optimal attainments for Escherichia coli and Klebsiella pneumoniae; 2000 mg/2000 mg/6 h by 5 h infusion, 2500 mg /2500 mg/6 h by 4 h infusion, 3000 mg/3000 mg/6 h by 3 h infusion and 4000 mg/4000 mg/8 h by 5 h infusion achieved >90% CFRs for Pseudomonas aeruginosa. The CFRs of three BLBLIs were similar for Escherichia coli, but meropenem/vaborbactam were superior for Klebsiella pneumoniae and Pseudomonas aeruginosa.

1. Introduction

Gram-negative bacteria (GNB) are commonly associated with hospital-acquired infections in intensive care units, and Enterobacteriaceae and Pseudomonas aeruginosa are the leading causes of bacterial infections [1]. However, there has been a dramatic increase in multidrug-resistant (MDR) pathogens among GNB, especially the carbapenem-resistant Enterobacteriaceae (CRE), which is a life-threatening infection with mortality rates of about 40% in critically ill patients [2].
Novel β-lactam/β-lactamase inhibitors (BLBLIs) have emerged in this situation. BLBLIs, ceftazidime/avibactam (CA), ceftolozane/tazobactam (CT), and meropenem/vaborbactam (MV) are often administered as salvage therapies for infections due to pathogens that are resistant to most antibacterial agents [3]. Currently, the novel BLBLIs administration is based on their package insert and pharmacokinetics/pharmacodynamics (PK/PD) property. It is well known that the recommended dosage regimen of antibacterial agents is mostly derived from PK studies in healthy volunteers. However, critically ill patients may undergo tremendous pathological and physiological changes [4], which can lead to significant changes in the PK parameters and plasma drug concentrations of β-lactam antibacterial agents [5]. Therefore, the recommended regimen of novel BLBLIs may be contributed to underexposure or overexposure in critically ill patients. Underexposure will increase the risk of drug resistance and mortality, while overexposure will cause adverse events [6,7,8]. Furthermore, some studies have reported that certain GNB showed resistance to novel BLBLIs [9,10,11]. Therefore, the altered PK characteristic and the resistance of pathogenic bacteria make the regimen optimization of novel BLBLIs imperative in critically ill patients.
Monte Carlo simulation (MCS) is now widely used to optimize antibacterial agents’ regimens by combining the pharmacokinetics and pharmacodynamics principles. The results of MCS were expressed as the probability of target attainment (PTA) and the cumulative fraction of response (CFR). PTA was defined as the probability that a specific value of a PK/PD index was achieved at a certain minimal inhibitory concentration (MIC) [12]. For BLBLIs, a joint PTA was calculated, and the joint PTA was the product of the PTA of β-lactam and β-lactamase inhibitors [13]. The CFR was defined as the expected population joint PTA for a specific drug dosage and a specific pathogen [12]. Ceftazidime, ceftolozane, and meropenem are time-dependent antibacterial agents with a PK/PD parameter of the percentage of time during the dosing interval that free drug concentrations remain above minimal inhibitory concentrations (%fT > MIC) [14]. β-lactamase inhibitors require a certain threshold concentration (CT) to exert their inhibitory effect. The PK/PD parameter of avibactam and tazobactam was the percentage of time during the dosing interval that free drug concentrations remain above threshold concentration (%fT > CT), and vaborbactam was the 24-h area under the free concentration-time curve divided by the minimum inhibitory concentration ratio (fAUC24/MIC).
At present, few studies have reported the appropriate regimens of novel BLBLIs in critically ill patients with GNB infections. The objectives of this study for novel BLBLIs were: (1) to evaluate whether the current standard regimens can achieve their PK/PD targets; (2) to identify the optimal regimens in critically ill patients.

2. Results

2.1. Probability of Target Attainments of Three Novel BLBLIs

Figure 1 showed the joint PTA of three novel BLBLIs in patients who received standard regimens. At a MIC of 8 mg/L, the standard regimen of CA (2000 mg/500 mg/8 h, 2 h infusion) could achieve a PTA CA 50 % (50%fT > MIC/50%fT > CT) of 97.39%. However, the PTA CA 100 % (100%fT > MIC/50%fT > CT) of the standard regimen was >90% only at a MIC ≤ 4 mg/L. The standard regimen of CT (1000 mg/500 mg/8 h, 1 h infusion) yielded a PTA CA 40 % (40%fT> MIC/20%fT > CT) of 92.79% at a MIC of 8 mg/L, and an acceptable PTA CA 100 % (100%fT> MIC/20%fT > CT) was obtained at a MIC ≤ 0.5 mg/L. The PTA MV 45 % (45%fT > MIC/fAUC24/MIC > 9) of the MV standard regimen (2000 mg/200 mg/8 h, 3 h infusion) at a MIC of 8 mg/L was 94.04%, and the PTA MV 100 % (100%fT > MIC/fAUC24/MIC > 9) of the standard regimen was >90% at a lower MIC (≤0.125 mg/L).

2.2. Cumulative Fraction of Responses

Table 1, Table 2 and Table 3 showed the CFRs of three novel BLBLIs regimens at different PK/PD indexes for Enterobacteriaceae and Pseudomonas aeruginosa. The CFR CA 50 % (50%fT > MIC/50%fT > CT) of the CA standard regimen was 90.31% for Escherichia coli; 2000 mg/500 mg/8 h by 4 h infusion and 2500 mg/625 mg/8 h by 3 h infusion can achieve a CFRs CA 100 % (100%fT > MIC/50%fT > CT) of 90.90% and 90.96%, respectively (Table 1). The CFRs CA 50 % and CFRs CA 100 % of all simulated regimens were <90% for Klebsiella pneumoniae. For Pseudomonas aeruginosa, the regimen of 2500 mg/625 mg/6 h by 2 h infusion and 3000 mg/750 mg/8 h by 3 h infusion achieved a CFRs CA 50 % of 90.76% and 90.91%, respectively; Furthermore, the regimen of 3500 mg/875 mg/6 h by 4 h infusion and 4000 mg/1000 mg/6 h by 2 h infusion achieved a CFRs CA 100 % of 90.11% and 90.34%, respectively.
For the infections caused by Escherichia coli, the CFR CT 40 % (40%fT > MIC/20%fT > CT) and CFR CT 100 % (100%fT > MIC/20%fT > CT) of the CT standard regimen were 98.72% and 92.21%, respectively (Table 2). For Klebsiella pneumoniae and Pseudomonas aeruginosa, the CFRs CT 40 % and CFRs CT 100 % of all simulated regimens were <90%.
The CFR MV 45 % (45%fT > MIC/fAUC/MIC > 9) of the MV standard regimen for Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa was 97.48%, 96.44% and 94.04%, respectively (Table 3). The CFR MV 100 % (100%fT > MIC/fAUC/MIC > 9) of the standard regimen for Escherichia coli and Klebsiella pneumoniae was 95.37% and 91.98%, respectively. However, for Pseudomonas aeruginosa, the regimen of 2000 mg/2000 mg/6 h by 5 h infusion, 2500 mg /2500 mg/6 h by 4 h infusion, 3000 mg/3000 mg/6 h by 3 h infusion and 4000 mg/4000 mg/8 h by 5 h infusion afforded CFRs MV 100 % estimates of 91.71%, 91.86%, 90.86% and 90.59%, respectively.

3. Discussion

Although the application of novel antibacterial agents is promising, studies have reported that certain GNB showed resistance to novel BLBLIs [9,10,11]. The distribution of MIC presented in this study also indicated that a fraction of Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa strains were resistant to novel BLBLIs (Table 4). Additionally, the PK of novel BLBLIs in critically ill patients can be significantly altered. Therefore, it is essential to optimize their regimens in critically ill patients.
In the present study, we found that the CA standard regimen (2000 mg/500 mg/8 h, 2 h infusion) achieved optimal PTA CA 50 % at MIC ≤ 8 mg/L (Figure 1), which was consistent with the clinical breakpoint of CA for Enterobacteriaceae and Pseudomonas aeruginosa [15]. A prospective clinical study in patients with severe cystic fibrosis infection showed that when PK/PD targets of ceftazidime and avibactam were 50%fT > MIC and 50%fT > CT (1 mg/L), the standard regimen achieved a >90% joint PTA at a MIC of 16 mg/L, which was similar to the results of this study ( PTA CA 50 % at a MIC of 16 mg/L was 86.12% in this study) [13]. However, it is recommended to use 100%fT > MIC as the PK/PD target to ensure clinical efficacy in critically ill patients. Under this target, the standard regimen can ensure the PTAs CA 100 % > 90% when MIC ≤ 4 mg/L, and it is necessary to adjust the regimen to achieve optimal CFRs CA 100 % regardless of the type of infected microorganisms. A study evaluated the clinical activity of CA in patients caused by MDR pathogens, which found that the favorable microbiological response of patients caused by Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa were 79.3%, 78.9%, and 59.1%, and the susceptibility (isolates with MICs ≤ 8 mg/L) rate of the above-mentioned strains for CA were 100%, 98.4%, and 66.1%, respectively [16]. However, the MIC data used in this study indicated that the resistance rates of Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa for CA were 8.38%, 13.57%, and 19.44%, respectively (Table 4), and the CFRs CA 100 % of standard regimens were suboptimal for the three strains. The higher resistance rate of Klebsiella pneumoniae and Pseudomonas aeruginosa may be due to the diversity of drug-resistance mechanisms, such as the production of β-lactamase that avibactam does not inhibit, loss of porin, and overexpression of efflux pump [17,18]. Furthermore, the CFRs CA 100 % of all simulated regimens were < 90% for Klebsiella pneumoniae for a number of strains (12.9%) with a MIC of 128 mg/L. The results of PTAs CA 100 % or CFRs CA 100 % < 90% indicated that increased dosages, change in other antibacterial agents, or combined therapy are needed for patients with infection caused by the MDR strains. The clinical breakpoints of CT for Enterobacteriaceae and Pseudomonas aeruginosa were 2 mg/L and 4 mg/L [19]. Our study found that the CT standard regimen achieved optimal PTAs CT 40 % at a MIC ≤ 8 mg/L (Figure 1), which was consistent with a PK study of Japanese patients (the PK/PD target of ceftolozane was 30%fT > MIC) [20]. A pooled study of CT therapy in patients caused by extended-spectrum β-Lactamases (ESBL)-producing Escherichia coli and Klebsiella pneumoniae found that the microbiological eradications of Escherichia coli and Klebsiella pneumoniae were 82% and 77.8%, respectively. However, the MIC distribution data used in this study showed that the resistance rates of Escherichia coli and Klebsiella pneumoniae for CT were 3.55% and 26.84%, respectively (Table 4). The standard regimen only achieved the target CFRs CT 100 % for Escherichia coli, and all regimens failed to achieve the PK/PD targets for Klebsiella pneumoniae. The suboptimal results of Klebsiella pneumoniae may be due to the mechanism of resistance of this isolate, such as the production of ESBL and oxacillinase, which tazobactam could not inhibit [21]. CT is recommended used for infection caused by Pseudomonas aeruginosa. However, in this study, the resistance rate of Pseudomonas aeruginosa for CT was 17.93%, and the CFRs were all suboptimal (Table 2 and Table 4), which was related to the resistance mechanism that producing a chromosomally encoded class C cephalosporinase often responsible for the resistance to β-lactam antibiotics [22]. The PTAs results suggested that CT should be selected for treatment according to MIC values. Meanwhile, in the presence of high-risk factors of Klebsiella pneumoniae and Pseudomonas aeruginosa resistance, CT should be carefully selected for empirical treatment.
The MV standard regimen achieved optimal PTA MV 45 % at the clinical breakpoint of MV for GNB (4 mg/L) (Figure 1). Under different PK/PD targets, the MV standard regimen could achieve optimal CFRs for Escherichia coli and Klebsiella pneumoniae. Vaborbactam, a cyclic boronic acid β-lactamase inhibitor, has documented activity in combination with meropenem against KPC-producing Enterobacteriaceae [23]. However, the results of Pseudomonas aeruginosa were suboptimal, which may be due to the resistance mechanisms that were not antagonized by vaborbactam [23].
According to the results of MCS, the CFR results of three antibacterial agents were similar for Escherichia coli, but MV was superior for Klebsiella pneumoniae and Pseudomonas aeruginosa. Our previous Meta-analysis also showed that the comprehensive effectiveness of MV, CA, and CT were excellent, and MV was better than CA and CT, but there was no significant difference [24]. Notably, the three novel BLBLIs have a different spectrum of activity and specific indications. CA is used for Enterobacteriaceae that produced class A carbapenemase and some of the class D carbapenemase and Pseudomonas aeruginosa; CT for Pseudomonas aeruginosa; MV for class A carbapenemase [25]. These new BLBLIs will not work on some resistance mechanisms such as class B carbapenemase, regardless of the PK characteristics. Therefore, BLBLIs should be selected according to specific pathogenic bacteria and drug resistance mechanisms.
Our study also had limitations. (1) Currently, PK studies of MV in critically ill patients have not been reported. The PK data of MV used in MCS was from adult patients. However, the PK parameters used in the present study for meropenem were similar to those from a study in critically ill patients with severe sepsis and septic shock [26]. Vaborbactam is mainly excreted by the kidneys. The PTA of the standard regimen of vaborbactam was far more than 90%. However, many critically ill patients may have renal failure, which will increase the PK/PD target of vaborbactam. Therefore, our results can still be applied to critically ill patients. (2) Although MCS is a useful tool for determining appropriate empirical antibiotic dosage regimens at nationally, regional levels, further clinical trials are needed to validate the efficacy and safety of higher dosages and extended infusions.

4. Materials and Methods

4.1. PK Parameters

PK parameters for CA and CT in critically ill patients were derived from a single-center phase IV clinical study in the USA and an observational study in Australia, respectively [27,28]. No study was retrieved on the PK parameters of MV in critically ill patients, and a study of adult patients was analyzed [29,30]. Data collected included clearance, volume of distribution, and AUC24 and was expressed as mean ± standard deviation.

4.2. PD Data

Enterobacteriaceae (Escherichia coli, Klebsiella pneumoniae) and Pseudomonas aeruginosa are the most common pathogens of GNB infections. The MIC distribution of CA and CT for the above-mentioned strains was obtained from Eucast (https://mic.eucast.org, extracted on 5 March 2021) (Table 4). The MIC of MV for Enterobacteriaceae and Pseudomonas aeruginosa was obtained from a study published in 2017 by Castanheira et al. [31], which analyzed the activity of MV for GNB globally using a micro-broth dilution assay.

4.3. PK/PD Targets

The PK/PD targets for ceftazidime, ceftolozane and meropenem were 50%fT > MIC, 40%fT > MIC, and 45%fT > MIC, respectively [13,32,33]. The PK/PD targets of the three antibacterial agents should be increased to 70%fT > MIC and 100%fT > MIC in critically ill patients [34]. The result of an in vivo mouse infection model and an in vitro hollow-fiber model indicated that the CT of avibactam was 1 mg/L, and the recommended PK/PD target was 50%fT > CT [20,21]. Meanwhile, the CT of tazobactam was 1 mg/L and the PK/PD target was 20%fT > CT [20]. The PK/PD target of vaborbactam was fAUC24/MIC > 9 [35]. The free drug fractions used in these simulations were 85%, 92%, 98%, and 67% for ceftazidime, avibactam, meropenem, and vaborbactam, respectively [33,36]. Notably, the original PK parameter of ceftolozane and tazobactam were obtained from unbound concentrations, and their PK data were used directly for analysis in this study [28].

4.4. Monte Carlo Simulation

In the present study, MCS with 10000 replicates were performed using Crystal Ball software (Oracle Corporation, version 11.1.2.4, Redwood Shores, CA, USA) and the PK parameters were defined as log-normal distributions [37]. According to different PK/PD targets, the results of CA were expressed as PTA CA 50 % and CFR CA 50 % (50%fT > MIC/50%fT > CT), PTA CA 70 % and CFR CA 70 % (70%fT > MIC/50%fT > CT), and PTA CA 100 % and CFR CA 100 % (100%fT > MIC/50%fT > CT). The results of CT were expressed as PTA CT 40 % and CFR CT 40 % (40%fT > MIC/20%fT > CT), PTA CT 70 % and CFR CT 70 % (70%fT > MIC/20%fT > CT), and PTA CT 100 % and CFR CA 100 % (100%fT > MIC/20%fT > CT). The results of MV were PTA MV 45 % and CFR MV 45 % (45%fT > MIC/fAUC/MIC > 9), PTA MV 70 % and CFR MV 70 % (70%fT > MIC/fAUC/MIC > 9), and PTA MV 100 % and CFR MV 100 % (100%fT > MIC/fAUC/MIC > 9). The regimens corresponding to the joint PTA and CFR ≥ 90% were considered appropriate [13].

5. Conclusions

In conclusion, the standard regimens of CA, CT, and MV achieve optimal PTA CA 50 % , PTA CT 40 % and PTA MV 45 % at the clinical breakpoint for Enterobacteriaceae and Pseudomonas aeruginosa. However, PTA CA 100 % , PTA CT 100 % and PTA MV 100 % at the clinical breakpoint for Enterobacteriaceae and Pseudomonas aeruginosa were suboptimal. The standard regimens of CA and CT can achieve the target of CFR CA 50 % , CFR CT 40 % , and CFR CT 100 % for Escherichia coli. However, CFR CA 100 % was achieved when extending the infusion time; for Klebsiella pneumoniae and Pseudomonas aeruginosa, all simulated regimens cannot achieve optimal CFRs. The MV standard regimen achieved was optimal for Enterobacteriaceae, and the CFR MV 100 % of Pseudomonas aeruginosa was optimal when increasing the frequency and dosage of administration and prolonging the infusion time. Further large-scale and high-quality clinical studies should be conducted to validate the efficacy and safety of higher dosages and extended infusions for critically ill patients caused by GNB.

Author Contributions

R.H.: conceptualization, methodology, writing—original draft preparation; D.S.: methodology, software, writing—original draft preparation; S.L.: data curation; J.C.: data curation; M.T.: writing—review; B.Y.: writing—review; Y.D.: funding acquisition, supervision, writing—reviewing and editing; T.W.: funding acquisition, supervision, writing—reviewing and editing. All authors have read and agreed to the published version of the manuscript.

Funding

The work was supported by the key research and development program of Shaanxi (No. 2019ZDLSF01-05) and the Natural Science Foundation of Shaanxi Province (No. 2020SF-064).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data are applicable in the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Venkataraman, R.; Divatia, J.V.; Ramakrishnan, N.; Chawla, R.; Amin, P.; Gopal, P.; Chaudhry, D.; Zirpe, K.; Abraham, B. Multicenter Observational Study to Evaluate Epidemiology and Resistance Patterns of Common Intensive Care Unit-Infections. Indian J. Crit Care Med. 2018, 22, 20–26. [Google Scholar] [CrossRef]
  2. Tumbarello, M.; Viale, P.; Viscoli, C.; Trecarichi, E.M.; Tumietto, F.; Marchese, A.; Spanu, T.; Ambretti, S.; Ginocchio, F.; Cristini, F.; et al. Predictors of Mortality in Bloodstream Infections Caused by Klebsiella Pneumoniae Carbapenemase-Producing K. Pneumoniae: Importance of Combination Therapy. Clin. Infect. Dis. 2012, 55, 943–950. [Google Scholar] [CrossRef] [Green Version]
  3. Wilson, G.M.; Fitzpatrick, M.; Walding, K.; Gonzalez, B.; Schweizer, M.L.; Suda, K.J.; Evans, C.T. Meta-Analysis of Clinical Outcomes Using Ceftazidime/Avibactam, Ceftolozane/Tazobactam, and Meropenem/Vaborbactam for the Treatment of Multidrug-Resistant Gram-Negative Infections. Open Forum Infect. Dis. 2021, 8, ofaa651. [Google Scholar] [CrossRef]
  4. Blot, S.I.; Pea, F.; Lipman, J. The Effect of Pathophysiology on Pharmacokinetics in the Critically Ill Patient--Concepts Appraised by the Example of Antimicrobial Agents. Adv. Drug Deliv Rev. 2014, 77, 3–11. [Google Scholar] [CrossRef]
  5. Hayashi, Y.; Lipman, J.; Udy, A.A.; Ng, M.; McWhinney, B.; Ungerer, J.; Lust, K.; Roberts, J.A. β-Lactam Therapeutic Drug Monitoring in the Critically Ill: Optimising Drug Exposure in Patients with Fluctuating Renal Function and Hypoalbuminaemia. Int. J. Antimicrob. Agents 2013, 41, 162–166. [Google Scholar] [CrossRef]
  6. Ibrahim, E.H.; Sherman, G.; Ward, S.; Fraser, V.J.; Kollef, M.H. The Influence of Inadequate Antimicrobial Treatment of Bloodstream Infections on Patient Outcomes in the ICU Setting. Chest 2000, 118, 146–155. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Roberts, J.A.; Kruger, P.; Paterson, D.L.; Lipman, J. Antibiotic Resistance--What’s Dosing Got to Do with It? Crit Care Med. 2008, 36, 2433–2440. [Google Scholar] [CrossRef] [PubMed]
  8. Alsultan, A.; Abouelkheir, M.; Alqahtani, S.; Aljabri, A.; Somily, A.M.; Alsubaie, S.; Alrabiaah, A.; Bukhari, E.; Alzamil, F. Optimizing Vancomycin Monitoring in Pediatric Patients. Pediatric Infect. Dis. J. 2018, 37, 880–885. [Google Scholar] [CrossRef] [PubMed]
  9. Bassetti, M.; Castaldo, N.; Cattelan, A.; Mussini, C.; Righi, E.; Tascini, C.; Menichetti, F.; Mastroianni, C.M.; Tumbarello, M.; Grossi, P.; et al. Ceftolozane/Tazobactam for the Treatment of Serious Pseudomonas Aeruginosa Infections: A Multicentre Nationwide Clinical Experience. Int. J. Antimicrob Agents 2019, 53, 408–415. [Google Scholar] [CrossRef] [PubMed]
  10. Shields, R.K.; McCreary, E.K.; Marini, R.; Kline, E.G.; Jones, C.E.; Hao, B.; Chen, L.; Kreiswirth, B.N.; Doi, Y.; Clancy, C.J.; et al. Early Experience With Meropenem-Vaborbactam for Treatment of Carbapenem-Resistant Enterobacteriaceae Infections. Clin. Infect. Dis 2020, 71, 667–671. [Google Scholar] [CrossRef] [PubMed]
  11. Shields, R.K.; Potoski, B.A.; Haidar, G.; Hao, B.; Doi, Y.; Chen, L.; Press, E.G.; Kreiswirth, B.N.; Clancy, C.J.; Nguyen, M.H. Clinical Outcomes, Drug Toxicity, and Emergence of Ceftazidime-Avibactam Resistance Among Patients Treated for Carbapenem-Resistant Enterobacteriaceae Infections. Clin. Infect. Dis 2016, 63, 1615–1618. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Mouton, J.W.; Dudley, M.N.; Cars, O.; Derendorf, H.; Drusano, G.L. Standardization of Pharmacokinetic/Pharmacodynamic (PK/PD) Terminology for Anti-Infective Drugs: An Update. J. Antimicrob. Chemother. 2005, 55, 601–607. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Bensman, T.J.; Wang, J.; Jayne, J.; Fukushima, L.; Rao, A.P.; D’Argenio, D.Z.; Beringer, P.M. Pharmacokinetic-Pharmacodynamic Target Attainment Analyses to Determine Optimal Dosing of Ceftazidime-Avibactam for the Treatment of Acute Pulmonary Exacerbations in Patients with Cystic Fibrosis. Antimicrob. Agents Chemother. 2017, 61, 1–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Craig, W.A. Pharmacokinetic/Pharmacodynamic Parameters: Rationale for Antibacterial Dosing of Mice and Men. Clin. Infect. Dis 1998, 26, 1–2. [Google Scholar] [CrossRef] [PubMed]
  15. Nichols, W.W.; Stone, G.G.; Newell, P.; Broadhurst, H.; Wardman, A.; MacPherson, M.; Yates, K.; Riccobene, T.; Critchley, I.A.; Das, S. Ceftazidime-Avibactam Susceptibility Breakpoints against Enterobacteriaceae and Pseudomonas Aeruginosa. Antimicrob. Agents Chemother. 2018, 62. [Google Scholar] [CrossRef] [Green Version]
  16. Stone, G.G.; Newell, P.; Gasink, L.B.; Broadhurst, H.; Wardman, A.; Yates, K.; Chen, Z.; Song, J.; Chow, J.W. Clinical Activity of Ceftazidime/Avibactam against MDR Enterobacteriaceae and Pseudomonas Aeruginosa: Pooled Data from the Ceftazidime/Avibactam Phase III Clinical Trial Programme. J. Antimicrob. Chemother. 2018, 73, 2519–2523. [Google Scholar] [CrossRef]
  17. Winkler, M.L.; Papp-Wallace, K.M.; Hujer, A.M.; Domitrovic, T.N.; Hujer, K.M.; Hurless, K.N.; Tuohy, M.; Hall, G.; Bonomo, R.A. Unexpected Challenges in Treating Multidrug-Resistant Gram-Negative Bacteria: Resistance to Ceftazidime-Avibactam in Archived Isolates of Pseudomonas Aeruginosa. Antimicrob Agents Chemother 2015, 59, 1020–1029. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Zhang, P.; Shi, Q.; Hu, H.; Hong, B.; Wu, X.; Du, X.; Akova, M.; Yu, Y. Emergence of Ceftazidime/Avibactam Resistance in Carbapenem-Resistant Klebsiella Pneumoniae in China. Clin. Microbiol Infect. 2020, 26, 124.e1–124.e4. [Google Scholar] [CrossRef] [Green Version]
  19. Xiao, A.J.; Caro, L.; Popejoy, M.W.; Huntington, J.A.; Kullar, R. PK/PD Target Attainment With Ceftolozane/Tazobactam Using Monte Carlo Simulation in Patients With Various Degrees of Renal Function, Including Augmented Renal Clearance and End-Stage Renal Disease. Infect. Dis. 2017, 6, 137–148. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Kakara, M.; Larson, K.; Feng, H.P.; Shiomi, M.; Yoshitsugu, H.; Rizk, M.L. Population Pharmacokinetics of Tazobactam/Ceftolozane in Japanese Patients with Complicated Urinary Tract Infection and Complicated Intra-Abdominal Infection. J. Infect. Chemother. 2019, 25, 182–191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Sader, H.S.; Carvalhaes, C.G.; Streit, J.M.; Doyle, T.B.; Castanheira, M. Antimicrobial Activity of Ceftazidime-Avibactam, Ceftolozane-Tazobactam and Comparators Tested against Pseudomonas Aeruginosa and Klebsiella Pneumoniae Isolates from United States Medical Centers in 2016-2018. Microb. Drug Resist. 2021, 27, 342–349. [Google Scholar] [CrossRef] [PubMed]
  22. Yahav, D.; Giske, C.G.; Grāmatniece, A.; Abodakpi, H.; Tam, V.H.; Leibovici, L. New β-Lactam-β-Lactamase Inhibitor Combinations. Clin. Microbiol. Rev. 2020, 34. [Google Scholar] [CrossRef]
  23. Novelli, A.; del Giacomo, P.; Rossolini, G.M.; Tumbarello, M. Meropenem/Vaborbactam: A next Generation β-Lactam β-Lactamase Inhibitor Combination. Expert Rev. Anti Infect. 2020, 18, 643–655. [Google Scholar] [CrossRef] [PubMed]
  24. Han, R.; Teng, M.; Zhang, Y.; Zhang, T.; Wang, T.; Chen, J.; Li, S.; Yang, B.; Shi, Y.; Dong, Y.; et al. Choosing Optimal Antibiotics for the Treatment of Patients Infected With Enterobacteriaceae: A Network Meta-Analysis and Cost-Effectiveness Analysis. Front. Pharmacol. 2021, 12, 1–11. [Google Scholar] [CrossRef] [PubMed]
  25. Doi, Y. Treatment Options for Carbapenem-Resistant Gram-Negative Bacterial Infections. Clin. Infect. Dis. 2019, 69, S565–S575. [Google Scholar] [CrossRef] [Green Version]
  26. Jaruratanasirikul, S.; Thengyai, S.; Wongpoowarak, W.; Wattanavijitkul, T.; Tangkitwanitjaroen, K.; Sukarnjanaset, W.; Jullangkoon, M.; Samaeng, M. Population Pharmacokinetics and Monte Carlo Dosing Simulations of Meropenem during the Early Phase of Severe Sepsis and Septic Shock in Critically Ill Patients in Intensive Care Units. Antimicrob. Agents Chemother. 2015, 59, 2995–3001. [Google Scholar] [CrossRef] [Green Version]
  27. Stein, G.E.; Smith, C.L.; Scharmen, A.; Kidd, J.M.; Cooper, C.; Kuti, J.; Mitra, S.; Nicolau, D.P.; Havlichek, D.H. Pharmacokinetic and Pharmacodynamic Analysis of Ceftazidime/Avibactam in Critically Ill Patients. Surg Infect. (Larchmt) 2019, 20, 55–61. [Google Scholar] [CrossRef]
  28. Sime, F.B.; Lassig-Smith, M.; Starr, T.; Stuart, J.; Pandey, S.; Parker, S.L.; Wallis, S.C.; Lipman, J.; Roberts, J.A. Population Pharmacokinetics of Unbound Ceftolozane and Tazobactam in Critically Ill Patients without Renal Dysfunction. Antimicrob. Agents Chemother. 2019, 63. [Google Scholar] [CrossRef] [Green Version]
  29. Burgos, R.M.; Biagi, M.J.; Rodvold, K.A.; Danziger, L.H. Pharmacokinetic Evaluation of Meropenem and Vaborbactam for the Treatment of Urinary Tract Infection. Expert Opin Drug Metab. Toxicol. 2018, 14, 1007–1021. [Google Scholar] [CrossRef]
  30. VABOMERE-Meropenem-Vaborbactam Injection, Powder, for Solution Melinta Therapeutics [package insert]. The Medicines Company. 2017.
  31. Castanheira, M.; Huband, M.D.; Mendes, R.E.; Flamm, R.K. Meropenem-Vaborbactam Tested against Contemporary Gram-Negative Isolates Collected Worldwide during 2014, Including Carbapenem-Resistant, KPC-Producing, Multidrug-Resistant, and Extensively Drug-Resistant Enterobacteriaceae. Antimicrob. Agents Chemother. 2017, 61. [Google Scholar] [CrossRef] [Green Version]
  32. Ruiz, J.; Ferrada, A.; Salavert, M.; Gordon, M.; Villarreal, E.; Castellanos-Ortega, Á.; Ramirez, P. Ceftolozane/Tazobactam Dosing Requirements Against Pseudomonas Aeruginosa Bacteremia. Dose Response 2020, 18, 1559325819885790. [Google Scholar] [CrossRef] [Green Version]
  33. Zhuang, L.; Yu, Y.; Wei, X.; Florian, J.; Jang, S.H.; Reynolds, K.S.; Wang, Y. Evaluation of Hemodialysis Effect on Pharmacokinetics of Meropenem/Vaborbactam in End-Stage Renal Disease Patients Using Modeling and Simulation. J. Clin. Pharm. 2020, 60, 1011–1021. [Google Scholar] [CrossRef]
  34. Roberts, J.A.; Abdul-Aziz, M.H.; Lipman, J.; Mouton, J.W.; Vinks, A.A.; Felton, T.W.; Hope, W.W.; Farkas, A.; Neely, M.N.; Schentag, J.J.; et al. Individualised Antibiotic Dosing for Patients Who Are Critically Ill: Challenges and Potential Solutions. Lancet Infect. Dis. 2014, 14, 498–509. [Google Scholar] [CrossRef] [Green Version]
  35. Griffith, D.C.; Sabet, M.; Tarazi, Z.; Lomovskaya, O.; Dudley, M.N. Pharmacokinetics/Pharmacodynamics of Vaborbactam, a Novel Beta-Lactamase Inhibitor, in Combination with Meropenem. Antimicrob. Agents Chemother. 2019, 63. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Li, J.; Lovern, M.; Green, M.L.; Chiu, J.; Zhou, D.; Comisar, C.; Xiong, Y.; Hing, J.; MacPherson, M.; Wright, J.G.; et al. Ceftazidime-Avibactam Population Pharmacokinetic Modeling and Pharmacodynamic Target Attainment Across Adult Indications and Patient Subgroups. Clin. Transl. Sci. 2019, 12, 151–163. [Google Scholar] [CrossRef] [PubMed]
  37. Wang, H.; Zhang, B.; Ni, Y.; Kuti, J.L.; Chen, B.; Chen, M.; Nicolau, D.P. Pharmacodynamic Target Attainment of Seven Antimicrobials against Gram-Negative Bacteria Collected from China in 2003 and 2004. Int. J. Antimicrob. Agents 2007, 30, 452–457. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The joint PTA of different PK/PD indexes was achieved at a specific MIC for three novel BLBLIs standard regimens. Joint PTA: the product of the probability of target attainments of β-lactam and β-lactamase inhibitor; fT > MIC: the percentage of time during the dosing interval that free drug concentrations remain above minimal inhibitory concentrations; fT > CT: the percentage of time during the dosing interval that free drug concentrations remain above threshold concentration; fAUC24/MIC: the 24-h area under the free concentration-time curve divided by the minimum inhibitory concentration ratio; CAZ: ceftazidime; AVI: avibactam; TOL: ceftolozane; TAZ: tazobactam; MEM: meropenem: VBR: vaborbactam.
Figure 1. The joint PTA of different PK/PD indexes was achieved at a specific MIC for three novel BLBLIs standard regimens. Joint PTA: the product of the probability of target attainments of β-lactam and β-lactamase inhibitor; fT > MIC: the percentage of time during the dosing interval that free drug concentrations remain above minimal inhibitory concentrations; fT > CT: the percentage of time during the dosing interval that free drug concentrations remain above threshold concentration; fAUC24/MIC: the 24-h area under the free concentration-time curve divided by the minimum inhibitory concentration ratio; CAZ: ceftazidime; AVI: avibactam; TOL: ceftolozane; TAZ: tazobactam; MEM: meropenem: VBR: vaborbactam.
Antibiotics 10 00993 g001
Table 1. Cumulative fraction of responses for ceftazidime/avibactam for Enterobacteriaceae and Pseudomonas aeruginosa.
Table 1. Cumulative fraction of responses for ceftazidime/avibactam for Enterobacteriaceae and Pseudomonas aeruginosa.
Dose (mg) CFR CA 50 % CFR CA 70 % CFR CA 100 %
2 h3 h4 hContinuous Infusion2 h3 h4 hContinuous Infusion2 h3 h4 hContinuous Infusion
Escherichia coli
2000/500 q8h90.31%92.65%93.07%93.11%88.65%92.05%92.64%92.93%84.54%89.94%90.90%92.35%
2500/625 q8h91.51%93.08%93.25%93.25%90.11%92.68%92.97%93.16%86.42%90.96%91.64%92.78%
Klebsiella pneumoniae
2000/500 q8h84.58%86.60%87.00%87.06%82.53%86.04%86.64%86.96%77.63%83.71%84.73%86.45%
2000/500 q6h86.95%87.09%87.12%87.10%86.73%86.95%87.03%87.05%85.72%86.19%86.48%86.85%
2500/625 q8h85.70%86.95%87.12%87.12%84.10%86.60%86.89%87.08%79.79%84.74%85.51%86.80%
2500/625 q6h87.06%87.12%87.14%87.13%86.92%87.04%87.11%87.12%86.16%86.5%86.81%87.01%
3000/750 q8h86.27%87.05%87.13%87.14%85.09%86.78%86.99%87.12%81.57%85.26%85.90%87.10%
3000/750 q6h87.09%87.14%87.14%87.14%87.01%87.11%87.13%87.13%86.43%86.74%86.93%87.11%
3500/875 q8h86.58%87.08%87.14%87.14%85.71%86.87%87.07%87.14%82.65%85.58%86.26%87.04%
3500/875 q6h87.13%87.15%87.15%87.16%87.06%87.12%87.14%87.15%86.55%86.87%87.00%87.12%
4000/1000 q8h86.74%87.12%87.16%87.14%86.01%86.95%87.07%87.14%83.33%85.90%86.31%87.09%
4000/1000 q6h87.15%87.17%87.17%87.15%87.09%87.12%87.14%87.14%86.71%86.88%87.01%87.13%
Pseudomonas aeruginosa
2000/500 q8h80.28%87.4%87.73%87.60%77.07%85.13%85.89%86.49%70.58%80.42%81.73%84.23%
2000/500 q6h88.86%88.86%88.82%88.62%87.20%87.48%87.64%87.63%84.16%84.88%85.21%86.07%
2500/625 q8h82.80%89.47%89.64%89.47%79.77%87.35%87.71%88.40%73.52%82.90%83.92%86.23%
2500/625 q6h90.76%90.73%90.65%90.41%89.13%89.44%89.47%89.50%86.25%86.8%87.3%87.85%
3000/750 q8h84.73%90.91%91.08%90.97%81.90%88.90%89.29%89.94%76.23%84.73%85.77%88.86%
3000/750 q6h92.09%92.05%91.99%91.69%90.67%90.82%90.89%90.84%87.94%88.4%88.92%89.24%
3500/875 q8h85.59%92.05%92.22%92.05%83.39%90.08%90.56%91.09%78.22%86.15%87.26%89.16%
3500/875 q6h93.19%93.10%93.08%92.84%91.78%91.91%92.06%91.99%89.10%89.61%90.11%90.56%
4000/1000 q8h87.43%93.04%93.21%93.03%84.96%91.11%91.47%92.10%79.84%87.44%88.23%90.12%
4000/1000 q6h94.24%94.11%93.96%93.70%92.79%92.89%92.93%92.98%90.34%90.65%91.00%91.50%
CFR CA 50 % : 50%fT > MIC/50%fT > CT; CFR CA 70 % : 70%fT > MIC/50%fT > CT; CFR CA 100 % : 100%fT > MIC/50%fT > CT. Grey: PTA values ≥ 90%; Standard regimen of ceftazidime/avibactam: 2000 mg/500 mg/8 h, 2 h infusion.
Table 2. Cumulative fraction of responses for ceftolozane/tazobactam for Enterobacteriaceae and Pseudomonas aeruginosa.
Table 2. Cumulative fraction of responses for ceftolozane/tazobactam for Enterobacteriaceae and Pseudomonas aeruginosa.
Dose (mg) CFR CT 40 % CFR CT 70 % CFR CT 100 %
1 h3 h4 hContinuous Infusion1 h3 h4 hContinuous Infusion1 h3 h4 hContinuous Infusion
Escherichia coli
1000/500 q8h98.72%98.99%99.02%99.00%97.18%98.21%98.47%98.78%92.21%95.11%96.49%98.35%
1250/625 q8h98.93%99.16%99.17%99.16%97.61%98.54%98.69%98.95%93.13%96.10%97.02%98.60%
Klebsiella pneumoniae
1000/500 q8h80.78%81.28%81.38%81.26%76.76%78.40%78.99%80.04%70.09%73.37%75.12%78.45%
1000/500 q6h82.06%82.11%81.98%81.66%79.39%80.25%80.45%80.53%75.91%77.86%78.47%79.22%
1250/625 q8h81.97%82.48%82.50%82.44%77.87%79.50%79.95%81.01%71.63%75.00%76.17%79.35%
1250/625 q6h83.59%83.44%83.25%83.12%80.46%81.25%81.37%81.79%77.10%78.91%79.44%80.32%
1500/750 q8h83.27%83.67%83.75%83.62%78.83%80.30%80.77%81.95%73.04%75.90%77.09%80.12%
1500/750 q6h85.03%85.04%84.82%84.33%81.45%82.21%82.51%82.70%78.17%79.75%80.31%81.12%
1750/875 q8h84.47%85.02%84.98%84.84%79.71%81.16%81.60%82.93%73.97%76.87%77.84%80.82%
1750/875 q6h86.30%86.35%86.27%85.83%82.31%83.28%83.61%83.89%78.84%80.48%81.13%81.98%
2000/1000 q8h85.55%85.83%86.26%86.00%80.51%81.87%82.41%83.75%74.96%77.66%78.65%81.50%
2000/1000 q6h87.7%87.53%87.26%86.96%83.40%84.31%84.39%84.87%79.69%81.28%81.72%82.70%
Pseudomonas aeruginosa
1000/500 q8h86.19%86.73%86.79%86.74%80.56%83.64%84.82%86.16%68.29%74.13%77.55%84.42%
1000/500 q6h83.02%80.57%77.64%71.51%80.84%79.62%77.02%71.15%75.39%76.51%74.90%70.35%
1250/625 q8h86.72%87.16%87.17%87.15%82.05%84.92%85.64%86.63%71.35%77.11%79.27%85.46%
1250/625 q6h86.62%86.10%83.44%82.80%84.79%85.26%82.82%82.40%79.91%82.68%81.22%81.72%
1500/750 q8h87.18%87.50%87.54%87.50%83.17%85.52%86.18%86.98%73.53%78.61%80.76%86.03%
1500/750 q6h87.67%87.73%86.85%85.6%86.02%86.83%86.18%85.14%81.90%84.69%84.8%84.55%
1750/875 q8h87.65%87.91%87.87%87.83%83.95%86.06%86.56%87.29%75.08%79.96%81.74%86.44%
1750/875 q6h88.32%88.26%88.12%88.16%86.48%87.28%87.31%87.07%82.62%85.29%86.08%86.42%
2000/1000 q8h88.14%88.10%88.37%88.25%84.67%86.45%86.92%87.53%76.45%81.03%82.76%86.75%
2000/1000 q6h89.24%88.95%88.81%88.43%87.02%87.67%87.73%87.58%83.54%85.87%86.55%86.92%
CFR CT 40 % : 40%fT > MIC/20%fT > CT; CFR CT 70 % : 70%fT > MIC/20%fT > CT; CFR CA 100 % : 100%fT > MIC/20%fT > CT.Grey: PTA values ≥ 90%; Standard regimen of ceftolozane/tazobactam: 1000 mg/500 mg/8 h, 1 h infusion.
Table 3. Cumulative fraction of responses for meropenem/vaborbactam for Enterobacteriaceae and Pseudomonas aeruginosa
Table 3. Cumulative fraction of responses for meropenem/vaborbactam for Enterobacteriaceae and Pseudomonas aeruginosa
Dose (mg) CFR MV 45 % CFR MV 70 % CFR MV 100 %
3 h4 h5 h3 h4 h5 h3 h4 h5 h
Escherichia coli
2000/2000 q8h97.48%97.49%97.49%97.35%97.47%97.48%95.37%96.52%97.10%
2500/2500 q8h99.24%99.24%99.24%99.14%99.23%99.23%97.64%98.23%98.95%
Klebsiella pneumoniae
2000/2000 q8h96.44%96.60%96.65%95.49%95.86%96.06%91.98%93.78%94.70%
2500/2500 q8h98.52%98.64%98.78%97.54%97.82%98.07%94.66%95.61%96.83%
Pseudomonas aeruginosa
2000/2000 q8h94.04%94.98%95.30%87.62%90.16%91.92%75.11%79.50%82.86%
2000/2000 q6h95.87%95.84%96.08%92.64%93.62%94.76%86.40%88.47%91.71%
2500/2500 q8h97.04%97.65%98.09%91.18%93.12%95.03%79.63%82.70%86.67%
2500/2500 q6h98.38%98.61%98.52%95.55%96.76%97.56%89.14%91.86%94.88%
3000/3000 q8h98.10%98.68%99.02%92.73%94.72%96.24%81.49%84.78%88.23%
3000/3000 q6h99.24%99.43%99.45%96.95%97.96%98.84%90.86%93.54%96.58%
3500/3500 q8h98.60%99.20%99.50%93.31%95.61%97.28%82.30%86.11%89.69%
3500/3500 q6h99.66%99.78%99.83%97.73%98.67%99.44%92.37%94.51%97.48%
4000/4000 q8h99.16%99.53%99.72%94.72%96.26%97.78%84.76%86.98%90.59%
4000/4000 q6h99.80%99.87%99.92%98.19%98.96%99.66%93.03%95.14%98.18%
CFR MV 45 % : 45%fT > MIC/fAUC/MIC > 9; CFR MV 70 % : 70%fT > MIC/fAUC/MIC > 9; CFR MV 100 % : 100%fT > MIC/fAUC/MIC > 9. Grey: PTA values ≥ 90%; Standard regimen of meropenem/vaborbactam: 2000 mg/2000 mg/8 h, 3 h infusion.
Table 4. The MIC distribution of ceftazidime/avibactam, ceftolozane/tazobactam and meropenem/vaborbactam for Enterobacteriaceae and Pseudomonas aeruginosa.
Table 4. The MIC distribution of ceftazidime/avibactam, ceftolozane/tazobactam and meropenem/vaborbactam for Enterobacteriaceae and Pseudomonas aeruginosa.
MIC≤0.0150.030.060.1250.250.51248163264128
ceftazidime/avibactam
E. coli--10292523233216630210
KP--381716312611910018
PA--00120968242202217168
ceftolozane/tazobactam
E. coli-180199518206913431197045272717-
KP--2857686644729217511680981754006 a
PA---815017381528737533225688264510 a
meropenem/vaborbactam
E. coli391627432243411001 b
KP81992832415047289126731 b
PA417824544242443823415918513812595 b
E. coli: Escherichia coli; KP: Klebsiella pneumoniae; PA: Pseudomonas aeruginosa. a MIC ≥ 128; b MIC ≥ 32.
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Han, R.; Sun, D.; Li, S.; Chen, J.; Teng, M.; Yang, B.; Dong, Y.; Wang, T. Pharmacokinetic/Pharmacodynamic Adequacy of Novel β-Lactam/β-Lactamase Inhibitors against Gram-Negative Bacterial in Critically Ill Patients. Antibiotics 2021, 10, 993. https://doi.org/10.3390/antibiotics10080993

AMA Style

Han R, Sun D, Li S, Chen J, Teng M, Yang B, Dong Y, Wang T. Pharmacokinetic/Pharmacodynamic Adequacy of Novel β-Lactam/β-Lactamase Inhibitors against Gram-Negative Bacterial in Critically Ill Patients. Antibiotics. 2021; 10(8):993. https://doi.org/10.3390/antibiotics10080993

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Han, Ruiying, Dan Sun, Sihan Li, Jiaojiao Chen, Mengmeng Teng, Bo Yang, Yalin Dong, and Taotao Wang. 2021. "Pharmacokinetic/Pharmacodynamic Adequacy of Novel β-Lactam/β-Lactamase Inhibitors against Gram-Negative Bacterial in Critically Ill Patients" Antibiotics 10, no. 8: 993. https://doi.org/10.3390/antibiotics10080993

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