Literature DB >> 28074152

Optimal dosage of cefmetazole for intraoperative antimicrobial prophylaxis in patients undergoing surgery for colorectal cancer.

Atsushi Tomizawa1, Takatoshi Nakamura2, Toshiaki Komatsu1, Hiroshi Inano1, Rumiko Kondo1, Masahiko Watanabe2, Koichiro Atsuda1.   

Abstract

BACKGROUND: Few studies have reported the dosage of cefmetazole (CMZ) for intraoperative antimicrobial prophylaxis in patients underwent surgery for colorectal cancer. We therefore examined the optimal intraoperative dosage of CMZ according to pharmacokinetic/pharmacodynamic (PK/PD) theory in patients who undergoing surgery for colorectal cancer.
METHODS: The study group comprised 23 patients with colorectal cancer who underwent surgery, using CMZ as antimicrobial treatment to prevent postoperative infection. CMZ was administered intravenously within 60 min before surgery. PK/PD analysis was performed by population pharmacokinetic analysis and Monte-Carlo simulation.
RESULTS: The final population pharmacokinetic parameters of CMZ were as follows: CLCMZ = 0.0704 × creatinine clearance (Ccr) and VdCMZ = 0.163 × body weight (Bw). In patients with a Ccr of ≥90 to <130 mL/min, the probability of achieving concentrations exceeding MIC was 52.9 to 82.2% at 2 h after the initial dose and less than 20% at 3 h after the initial dose.
CONCLUSIONS: Additional doses of CMZ should be given every 2 h in patients with a Ccr of ≥90 to <130 mL/min, every 3 h in those with a Ccr of ≥50 to <90 mL/min, and every 4 to 5 h in those with a Ccr of ≥10 to <50 mL/min.

Entities:  

Keywords:  Antimicrobial prophylaxis; Cefmetazole; Colorectal surgery; Population pharmacokinetics

Year:  2017        PMID: 28074152      PMCID: PMC5219696          DOI: 10.1186/s40780-016-0071-6

Source DB:  PubMed          Journal:  J Pharm Health Care Sci        ISSN: 2055-0294


Background

Cefmetazole (CMZ) is a cephamycin’s antibiotics developed in Japan that has high antibacterial activity against gram-negative and anaerobic bacteria. It is widely used for antimicrobial prophylaxis (AMP) in patients undergoing lower gastrointestinal surgery [1]. Treatment schedules for AMP have been based on the Centers for Disease Control and Prevention guidelines [2], the recommendations of the Surgical Infection Prevention Guideline Writers Workgroup meeting [3], and recent collaborative guidelines issued by the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, the Surgical Infection Society, and the Society for Healthcare Epidemiology of America [4]. A general consensus has also been reached in Japan. However, very few studies have evaluated the pharmacokinetics of CMZ during surgery for colorectal cancer and reported the optimal intraoperative treatment schedule for CMZ, including the timing of additional doses. We studied the pharmacokinetics of CMZ during surgery in patients with colorectal cancer to determine the optimal dosage of CMZ on the basis of pharmacokinetics and pharmacodynamics.

Methods

Data source

The study group comprised 23 patients who underwent surgery for colorectal cancer and received CMZ for AMP between November 2008 and December 2010. Patients who underwent emergency surgery, those with ileus, and those who were receiving dialysis were excluded. As for the treatment schedule, 1 g of CMZ was intravenously administered over the course of 5 to 10 min after the induction of anesthesia and within 60 min before the surgical incision. Subsequently, 1 g of CMZ was additionally given every 3 h. In principle, blood samples were collected at the start of surgery, on completion of the anastomosis, immediately before additional doses of AMP, and after abdominal closure.

Assay of cefmetazole concentrations

Serum CMZ concentrations were measured by high-performance liquid chromatography (HPLC). After the completion of surgery, blood samples were centrifuged at 3000 rpm for 10 min, and the serum supernatant was preserved by freezing at −80 °C until assay. At the time of assay, 200 μL of serum was combined with 90 μL of a deproteinizing agent (1 M HClO4), and the mixture was centrifuged at 1000 rpm and 4 °C for 5 min. The obtained supernatant was filtered through a 0.45-μm syringe filter, and 50 μL of the filtrate was injected into a chromatograph. The HPLC column temperature was 25 °C, with an ultraviolet absorption wavelength of 256 nm. The mobile phase was prepared by combining 800 mL of 50 mM phosphate buffer (pH 4.5) with 200 mL of acetonitrile. The detection limit was 0.5 μg/mL.

Pharmacokinetics model

Population pharmacokinetic analysis of CMZ was performed with the use of a nonlinear mixed effect model (NONMEM) program (version VI, level 1.0). For the pharmacokinetic model, we used predictions for population pharmacokinetics (PREDPP) subroutines with a linear one-compartment model (ADVAN 1 and TRANS 2) to estimate the pharmacokinetic parameters of the volume of distribution (VdCMZ) and clearance (CLCMZ). The inter-individual variability of the pharmacokinetic parameters was assessed using an exponential error model according to the following eq (1): Where P is parameter value of the j-th subject, P is the estimated population mean, and η is a random variable with a mean of 0 and a variance of ω2. The intra-individual variability of the parameters was assessed using a proportional error model according to the following eq (2): Where C and Cpred denotes observed and predicted concentrations for the j-th subject at i-th time, and εis a random intra-individual error which is normally distributed with mean 0 and variance σ 2.

Covariate analysis

The covariates of patients were performed for their influence on CMZ pharmacokinetic parameters as followed; age (Age), gender (Gender), body weight (Bw), clinical pathological stage (Stage), serum creatinine (Scr), creatinine clearance (Ccr), serum albumin (Alb), and operative procedure (Procedure). Operative procedures were divided into open surgery and laparoscopic surgery. Ccr was calculated using the Cockcroft-Gault equation. The influence of continuous covariates on the pharmacokinetic parameter was modeled according to the following eqs (3, 4): The significance of the influence of covariates was evaluated by the change of −2 log likelihood (the minimum value of the objective function: OBJ). Statistical significance was indicated by a p value of <0.01. Only covariates providing a significant change in the OBJ were included in the full model and were then tested in a backward deletion step, with statistical significance indicated by a p value of <0.001. The ability of the final population pharmacokinetic model to describe adequately the observed data was evaluated using visual predictive values.

Model evaluation

Actual serum CMZ concentrations in individual patients (Cp), predicted concentrations based on population parameters (PRED), and estimated individual predicted concentration calculated by Bayesian fitting (IPRED) were plotted to derive regression equations. Weighted residual values for Cp and PRED were plotted to evaluate the accuracy of serum concentrations estimated by the final model. Parameter precision and model stability were estimated for the final model by the bootstrap method [5].200 bootstrap samples were reconstructed, and the final model was determined by the 200 bootstrap samples repeatedly tested. The mean and standard error (S.E.) for each estimated parameters calculated normally were compared with those obtained from the original data set.

Evaluation of optimal dosage

A Monte-Carlo simulation [6] was performed 1000 times with the estimated and dispersion values of the population pharmacokinetic parameters, using Microsoft Excel 2010®. Estimated serum CMZ concentrations were calculated after 2, 3, 4, 5, and 6 h. On the basis of the minimum inhibitory concentration (MIC) distribution of Bacteroides fragilis, the probability of achieving serum CMZ concentrations above the MIC80 : MIC attainment rate, was calculated. As for the MIC distribution of Bacteroides fragilis for CMZ, a Japanese surveillance report of the antimicrobial susceptibility of clinical isolates of anaerobic bacteria in 2004 was used.

Results

Table 1 shows the demographic characteristics of the patients. Serum concentrations were measured at a total of 86 points. The time course of serum CMZ concentrations is shown in Fig. 1. Ccr was a covariate that significantly influenced CLCMZ, and Bw was a covariate that significantly influenced VdCMZ (Table 2). These factors were integrated into the full model, which was compared with a reduced model. Consequently, the final CMZ population pharmacokinetic estimates were CLCMZ = 0.0704 × Ccr and VdCMZ = 0.163 × Bw. The calculated interindividual variability (CV%) was 21.0% for CLCMZ and 8.4% for VdCMZ, and the residual variability was 13.5% (Table 3).
Table 1

Demographic characteristics of the patients

ParameterNumbersMean ± SDRange
Gender (male/female)18 / 5
Cancer (colon / rectum)14 / 9
Stage (I/II/III/IV)10 / 6 / 6 / 1
Procedure (lapa / open)13 / 10
Age (years)69 ± 1041–84
Body weight (kg)63.7 ± 9.947.5–89.0
Body mass index (kg/m2)24.1 ± 4.119.0–34.3
Serum creatinine (mg/dL)0.84 ± 0.170.57–1.3
Creatinine clearance (mL/min)73.9 ± 21.747.2–126.3
Serum albumin (g/dL)3.8 ± 0.43.3–4.6
Operation time (min)238 ± 73140–430

a lap laparoendoscopic procedure

Fig. 1

Observed cefmetazole serum concentration from 23 patients. The plots were showed after the first dose (●), the second dose (○), and the third dose (▲)

Table 2

Hypothesis testing for fixed efects model on cefmetazole parameters

ParameterFixed effects modelOBJ- 2 l.l.d. p-value
CLθ1491.305
θ1 + θ2 × Ccr476.461−14.8440.001
θ1 + θ2 × 1 / Scr486.958−4.347N.S.
θ1 × θ2Gender (Gender: male = 1, female = 0)486.934−4.371N.S.
θ1; Age ≧ 65, θ2; Age < 65491.291−0.014N.S.
θ1; Alb ≧ 3.8, θ2; Alb < 3.8491.3050N.S.
θ1 + θ2 × (1 + (4 - stage))490.054−1.251N.S.
θ1 × θ2Procedure 491.074−0.231N.S.
θ1 + θ2 × BW489.316−1.989N.S.
Vdθ1 × θ2Gender (Gender : male = 1, female = 0)491.2950.010N.S.
θ1; Age ≧ 65, θ4; Age < 65490.1891.116N.S.
θ1 + θ2 × BW473.81117.4940.001

-2 l.l.d. : −2 log likelihood difference

N.S. Not significant

Table 3

Final pharmacokinetic parameter estimates for cefmetazole in patients undergoing colorectal surgery

Pharmacokinetic Parameters
 CLCMZ = θ1 × Ccr(L/h)
 VdCMZ = θ2 × BW(L)
Estimate
 θ10.0704
 θ20.163
Variability
 ωCL (%)21.0
 ωVd (%)8.4
 σ (%)13.5
Demographic characteristics of the patients a lap laparoendoscopic procedure Observed cefmetazole serum concentration from 23 patients. The plots were showed after the first dose (●), the second dose (○), and the third dose (▲) Hypothesis testing for fixed efects model on cefmetazole parameters -2 l.l.d. : −2 log likelihood difference N.S. Not significant Final pharmacokinetic parameter estimates for cefmetazole in patients undergoing colorectal surgery On regression analysis of Cp and PRED, a correlation coefficient of r2 = 0.8671 was obtained (Fig. 2a). On regression analysis of Cp and IPRED, a correlation coefficient of r2 = 0.9437 was obtained (Fig. 2b). Weighted residuals (WRES) estimated on the basis of Cp and PRED were almost uniformly distributed within a range of about ± 3 when WRES = 0 (Fig. 3). The results of bootstrap validation of the estimated pharmacokinetic parameters are shown in Table 4. The convergence rate was 100% (200/200).
Fig. 2

a Relationship between observed concentration and predicted concentration based on population mean parameters using the Final model (PRED). b Relationship between observed concentration and individual predicted concentration after Bayesian fitting (IPRED)

Fig. 3

Weighted residuals between observed concentration and PRED (WRES) versus PRED

Table 4

Bootstrap validation of the estimated pharmacokinetic parameters

ParameterFinal modela (mean ± S.E.)Bootstrapb (mean ± S.E.)Differencec
θ1 (CL)0.0704 ± 0.00290.0703 ± 0.0029−0.001%
θ2 (Vd)0.163 ± 0.00540.164 ± 0.00570.6%
ωCL0.210 ± 0.01370.202 ± 0.0350−3.8%
ωVd0.084 ± 0.00530.070 ± 0.0377−16.7%
σ0.135 ± 0.00450.133 ± 0.0165−1.5%

aObtained from the original data set

bCalculated from 200 bootstrap replications

c{(Bootstrap value - Final model value)/Final model value} × 100

a Relationship between observed concentration and predicted concentration based on population mean parameters using the Final model (PRED). b Relationship between observed concentration and individual predicted concentration after Bayesian fitting (IPRED) Weighted residuals between observed concentration and PRED (WRES) versus PRED Bootstrap validation of the estimated pharmacokinetic parameters aObtained from the original data set bCalculated from 200 bootstrap replications c{(Bootstrap value - Final model value)/Final model value} × 100 Table 5 shows the probability of attaining predicted serum concentrations above the MIC of Bacteroides fragilis : MIC target attainment rate, according to Ccr and Bw, calculated on Monte Carlo simulation of the population pharmacokinetic parameters. The MIC target attainment rate 3 h after the initial dose of CMZ was 3.39 to 15.6% in patients with a Ccr of ≥90 to <130 mL/min, 57.9 to 81.5% in those with a Ccr of ≥50 to <90 mL/min, and 96.0 to 96.7% in those with a Ccr of ≥10 to <50 mL/min. The MIC target attainment rate at 2 h after the initial dose of CMZ was 52.9 to 82.2% in patients with a Ccr of ≥90 to <130 mL/min and 90% or higher in patients with a Ccr of 50 to <90 mL/min, irrespective of Bw. In patients with a Ccr of ≥10 to <50 mL/min, the MIC target attainment rate 5 h after the initial dose of CMZ was 81.2 to 90.6%.
Table 5

The target attainment rate above MIC80 of Bacteroides fragilis calculated on Monte Carlo simulation

The target attainment rate
Bw (kg)Ccr (mL/min)2 h3 h4 h5 h6 h
≧40 to 50≧90 to <13052.87%3.39%0.00%0.00%0.00%
≧50 to <9091.24%57.89%19.42%3.45%0.37%
≧10 to <5098.66%96.67%92.96%81.20%66.08%
≧50 to 60≧90 to <13072.44%8.56%0.14%0.00%0.00%
≧50 to <9092.17%72.40%33.66%8.28%2.33%
≧10 to <5098.19%96.71%93.43%88.53%74.18%
≧60 to 70≧90 to <13082.16%15.57%1.58%0.00%0.00%
≧50 to <9092.69%81.51%44.25%15.74%4.78%
≧10 to <5097.27%96.06%93.16%90.56%79.45%
The target attainment rate above MIC80 of Bacteroides fragilis calculated on Monte Carlo simulation

Discussion

Outside of Japan, cefoxitin and cefotetan are used as perioperative antimicrobial prophylaxis in patients who undergoing surgery for colorectal cancer [2-4]. Because these drugs cannot be used in Japan, however, CMZ, which is also a cephamycin’s antibiotics, is widely employed. Few studies have examined the optimal dosage of CMZ in patients under surgery, including the intraoperative administration of additional doses. We believe that it is extremely important to assess the optimal dosage of CMZ on the basis of PK/PD theory. The CLCMZ obtained on population pharmacokinetic analysis was dependent on Ccr, and VdCMZ was dependent on Bw. These findings were considered reasonable because more than 85% of CMZ is excreted as the unchanged compound in the urine, and excretion is mainly renal. A CLCMZ of 7.04 L/h (Ccr : 100 mL/min) and a VdCMZ of 10.4 ± 1.6 L (Bw : 47.5 to 89.0 kg) were generally consistent with the results of Borin et al. (CL : 6.96 L/h, Vd : 11.9 ± 4.2 L) [7] and Wong-Beringer et al. (Vd : 0.14 to 0.28 L/kg) [8]. Finally, models were prepared for estimating CLCMZ on the basis of Ccr, and VdCMZ on the basis of Bw. These data can be obtained from serum chemical analysis before surgery, thus resulting in a clinically appropriate and practical model. On diagnosis of the final model, regression analysis showed that a high correlation coefficient was obtained between observed serum CMZ concentrations and predicted CMZ concentrations based on population mean parameters, with a high regression coefficient, suggesting that predicted concentrations based on population mean parameters were good. On bootstrap validation, the mean bootstrap values approximated the final model values. The robustness was 100% (200/200) on normal completion of calculation, thus demonstrating the internal validity of the population parameters. When the optimal treatment schedule for CMZ was assessed using the obtained population pharmacokinetic parameters, the MIC attainment rate at 2 h after initial treatment was 52.9 to 82.2% in patients with a Ccr of ≥90 to <130 mL/min irrespective of Bw. In contrast, the MIC attainment rate was less than 20% at 3 h after initial treatment. This finding suggested that additional doses should be given every 2 h after the initial dose in patients with a Ccr of ≥90 to <130 mL/min. Collaborative guidelines for AMP published in 2013 [4] recommended that additional doses of cefoxitin, a drug belonging to the same category as CMZ, should be given every 2 h after the initial dose in patients with normal renal function. Therefore, the timing for additional doses of CMZ in patients with a Ccr of ≥90 to <130 mL/min is considered consistent with the recommendations of current guidelines [3, 4]. However, the essential goal of AMP is to decrease bacterial counts to a level that does not cause infection, given the susceptibility of the individual patient to infection. Therefore, treatment schedules should be adjusted according to the Bw and renal function of individual patients, rather than indiscriminately giving additional treatment to all patients. Our results suggest that additional dose of CMZ should be given every 2 h in patients with a Ccr of ≥90 to <130 mL/min, every 3 h to those with a Ccr of ≥50 to <90 mL/min, and every 4 to 5 h in those with a Ccr of ≥10 to <50 mL/min. Our limitation was the low number of renal failure (Ccr of <50 mL/min) patient (n = 1). Therefore our recommended dosage should be adjusted to each individual clinical situation and care must be taken with patients to Ccr of <50 mL/min. Further studies of larger number of patients are required to confirm whether our results are consistent with external data and to assess the relation between the MIC attainment rate and the risk of surgical site infection.

Conclusions

We studied to determine the optimal dosage of CMZ during surgery in patients with colorectal cancer. Our results suggest that additional dose of CMZ should be given every 2 h in patients with a Ccr of ≥90 to <130 mL/min, every 3 h to those with a Ccr of ≥50 to <90 mL/min, and every 4 to 5 h in those with a Ccr of ≥10 to <50 mL/min.
  8 in total

1.  Computer simulation of stochastic processes through model-sampling (Monte Carlo) techniques.

Authors:  C W. Sheppard
Journal:  FEBS Lett       Date:  1969-03       Impact factor: 4.124

Review 2.  Antimicrobial prophylaxis for surgery: an advisory statement from the National Surgical Infection Prevention Project.

Authors:  Dale W Bratzler; Peter M Houck
Journal:  Clin Infect Dis       Date:  2004-05-26       Impact factor: 9.079

3.  Pharmacokinetics and dose proportionality of cefmetazole in healthy young and elderly volunteers.

Authors:  M T Borin; G R Peters; T C Smith
Journal:  Antimicrob Agents Chemother       Date:  1990-10       Impact factor: 5.191

4.  Antimicrobial prophylaxis and colon preparation for colorectal surgery: Results of a questionnaire survey of 721 certified institutions in Japan.

Authors:  Minako Kobayashi; Yoshio Takesue; Yuko Kitagawa; Masato Kusunoki; Yoshinobu Sumiyama
Journal:  Surg Today       Date:  2011-09-16       Impact factor: 2.549

5.  Stability and performance of a population pharmacokinetic model.

Authors:  E I Ette
Journal:  J Clin Pharmacol       Date:  1997-06       Impact factor: 3.126

6.  Clinical practice guidelines for antimicrobial prophylaxis in surgery.

Authors:  Dale W Bratzler; E Patchen Dellinger; Keith M Olsen; Trish M Perl; Paul G Auwaerter; Maureen K Bolon; Douglas N Fish; Lena M Napolitano; Robert G Sawyer; Douglas Slain; James P Steinberg; Robert A Weinstein
Journal:  Am J Health Syst Pharm       Date:  2013-02-01       Impact factor: 2.637

7.  Guideline for Prevention of Surgical Site Infection, 1999. Centers for Disease Control and Prevention (CDC) Hospital Infection Control Practices Advisory Committee.

Authors:  A J Mangram; T C Horan; M L Pearson; L C Silver; W R Jarvis
Journal:  Am J Infect Control       Date:  1999-04       Impact factor: 2.918

8.  Influence of timing of antibiotic administration on tissue concentrations during surgery.

Authors:  A Wong-Beringer; R L Corelli; T R Schrock; B J Guglielmo
Journal:  Am J Surg       Date:  1995-04       Impact factor: 2.565

  8 in total
  1 in total

1.  Pharmacokinetic/Pharmacodynamic Analysis and Dose Optimization of Cefmetazole and Flomoxef against Extended-Spectrum β-Lactamase-Producing Enterobacterales in Patients with Invasive Urinary Tract Infection Considering Renal Function.

Authors:  Yukihiro Hamada; Hidefumi Kasai; Moeko Suzuki-Ito; Yasufumi Matsumura; Yohei Doi; Kayoko Hayakawa
Journal:  Antibiotics (Basel)       Date:  2022-03-28
  1 in total

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