| Literature DB >> 35453208 |
Yukihiro Hamada1, Hidefumi Kasai2, Moeko Suzuki-Ito1, Yasufumi Matsumura3, Yohei Doi4,5, Kayoko Hayakawa6.
Abstract
The optimal regimens of cefmetazole and flomoxef for the treatment of urinary tract infections caused by extended-spectrum β-lactamase (ESBL)-producing Enterobacterales are not well defined. Our study found that the pharmacokinetic/pharmacodynamic targets for cefmetazole and flomoxef were 70% T > MIC, which is suggestive of bactericidal activity. A Monte Carlo simulation (MCS) was performed using the published data to calculate a new probability of target attainment (PTA ≥ 90%) for each renal function. The MCS was performed with 1000 replicates, and clinical breakpoints were calculated to attain PTA ≥ 90% for creatinine clearance (CCR) of 10, 30, 50, and 70 mL/min. The 90% ≥ PTA (70% T > MIC) of cefmetazole and flomoxef in patients who received a standard regimen (0.5 or 1 g, 1 h injection) for each renal function was calculated. Our results suggest that in patients with CCR of less than 30, 31-59, and more than 60 mL/min, the optimal dosage of cefmetazole would be 1 g q12 h, 1 g q8 h, and 1 g q6 h, respectively. Furthermore, in patients with CCR of less than 10, 10-50, and more than 50 mL/min, the optimal dosage of flomoxef would be 1 g q24 h, 1 g q8 h or 12 h, and 1 g q6 h, respectively.Entities:
Keywords: Monte Carlo simulations; antimicrobial stewardship; cefmetazole; flomoxef; pharmacokinetics/pharmacodynamics
Year: 2022 PMID: 35453208 PMCID: PMC9027114 DOI: 10.3390/antibiotics11040456
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Population pharmacokinetic models for Monte Carlo simulation [20,22].
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| Pharmacokinetic Parameters | |||
| CL (L/h) = 0.0704 × CCR | |||
| Vd (L) = 0.163 × BW | |||
| Variability | |||
| ωCL (%) = 21.0 | |||
| ωVd (%) = 8.4 | |||
| σ (%) = 13.5 | |||
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| Pharmacokinetic Parameters | |||
| Vc (L) = 7.14 | |||
| K10 (h−1) = 2.12 | |||
| K12 (h−1) = 2.45 | |||
| K21 (h−1) = 2.57 | |||
| Variability | |||
| ωVc (%) = 20.0 | |||
| ωK10 (%) = 20.0 | |||
| ωK12 (%) = 20.0 | |||
| ωK21 (%) = 20.0 | |||
CCR: creatinine clearance (mL/min), BW: body weight (kg), ω: inter-individual variability, σ: intra-individual variability, Vd and Vc: volume distribution for the total (1-compartment model) or for central compartment (2-compartment model).
Figure 1Probabilities of target attainment for cefmetazole (A) and flomoxef (B) doses with an infusion duration of 1 h were simulated. The model simulated cefmetazole and flomoxef clearance as a function of creatinine clearance (CCR) within four categories of estimated renal function: 10, 30, 50, and 70 mL/min. The PTA was benchmarked on 70% cefmetazole and flomoxef concentration time above the MIC (70% T > MIC).
Clinical pharmacokinetic/pharmacodynamic (PK/PD) breakpoints of UTIs caused by ESBLs for cefmetazole and flomoxef with PTA ≥ 90% for each renal function.
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| 500 mg | q12 | 16 | 4 | 1 | 0.125 |
| 1000 mg | 32 | 8 | 2 | 0.25 | |
| 500 mg | q8 | 16 | 8 | 2 | 1 |
| 1000 mg | 32 | 16 | 4 | 2 | |
| 500 mg | q6 | 32 | 16 | 4 | 2 |
| 1000 mg | 64 | 32 | 8 | 4 | |
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| 500 mg | q12 | 8 | 0.5 | 0.125 | <0.0625 |
| 1000 mg | 16 | 1 | 0.125 | <0.0625 | |
| 500 mg | q8 | 8 | 2 | 0.5 | <0.0625 |
| 1000 mg | 16 | 4 | 1 | 0.0625 | |
| 500 mg | q6 | 8 | 4 | 1 | 0.25 |
| 1000 mg | 16 | 8 | 2 | 0.25 | |
CCR: creatinine clearance (mL/min).
Pharmacokinetics parameters of flomoxef.
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| 25 | 0.82 | CL (L/h) = Vc × K10 | |
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| 5 ≦ CCR ≦ 20 | 4 | 6.95 | CL severe = CL healthy × (1/0.82)/6.95 | |
| (severe) | ||||
| 20 < CCR ≦ 40 | 10 | 2.48 | CL mild = CL healthy × (1/0.82)/2.48 | |
| (mild) | ||||
| 40 < CCR ≦ 70 | 10 | 1.57 | CL medium = CL healthy × (1/0.82)/1.57 | |
| (medium) | ||||
CCR: creatinine clearance (mL/min), Vc: total volume distribution (1-compartment model).