Pharmacokinetic/pharmacodynamic based dosing of ciprofloxacin in complicated urinary tract infections
Abstract
Ciprofloxacin is often used in treatment of complicated urinary tract infections in areas with high rates of resistance to first line agents. The aim of this study was to evaluate efficacy of ciprofloxacin in standard dosing regimens in treatment of complicated urinary tract infections. Plasma concentration curves were simulated and minimum inhibitory concentration (MIC) and post-antibiotic effect were determined. Ciprofloxacin MIC ranged from 0.0156 for Gram-negative and to 0.125-0.5 µg/mL for Gram-positive bacteria. Both dosing regimens were suitable for eradication of Gram-negative bacteria, with slight supremacy of 750 mg/12 hours over 500 mg/12 hours dosing regimen. Even though all strains were fully susceptible to ciprofloxacin, pharmacokinetic/pharmacodynamic parameters did not meet target thresholds for pathogens with MIC over 0.1-0.2 µg/mL regardless of the administered dose. Ciprofloxacin remains an excellent choice for treatment of complicated urinary tract infections caused by Gram-negative bacteria, but in infection caused by Gram-positive strains, deeper analysis is necessary in order to achieve optimal results.
Introduction
Urinary tract infections are among the most common community bacterial infections. urinary tract infections with involvement of upper urinary tract portions, occurring in patients with underlying diseases (diabetes mellitus, immunosuppression) (Krcmery and Naber, 1999) or structural abnormalities of urinary tract are classified as complicated urinary tract infections (Nicolle, 2005). Ciprofloxacin and other fluoroquinolones have become a popular treatment option for patients with complicated urinary tract infections in areas with higher rates of resistance to traditionally used antibacterial agents such as trimethoprim-sulfamethoxazole and aminopenicillins (Van Bambeke et al., 2005; Finch, 2000). However, excessive use of ciprofloxacin that has led to a considerable and worrying increase in the rate of resistant isolates (Daoud et al., 2014) which raises a question of adequacy of current dosing strategies. The outcome of antibiotic treatment depends on several complex interactions between the infectious agent, antimicrobial drug and host defense mechanisms, and treatment outcome shows high variability of the dose-response relationship (Jacobs, 2001; Wilspelwey, 2005). For the optimal clinical outcome, high concentrations at the site of the infection are critical for fluoroquinolones (Drussano et al., 2004). This is reflected in the peak concentration and area under the concentration-time curve being the main pharmacokinetic parameters taken into account when discussing efficacy indices for ciprofloxacin (Mueller et al., 2004). In past decades, the importance of pharmacodynamic parameters- mainly mechanism of bacterial eradication and postantibiotic effect has also been recognized and an answer to complexity of antibiotic-microorganism interaction has been found in a quanti tative relationship between pharmacokinetic parameters of antibacterial drugs and a microbiological parameter constituted in a pharmacokinetic/pharmacodynamics indices which correlate with therapeutic outcome. For fluoroquinolones, parameters that correlate best with the clinical efficacy are the AUC24/MIC [ratio between 24-hours area under the concentration–time curve and the minimum inhibitory concentration (MIC)] and Cmax/MIC ratio (Jacobs, 2001; Wispelwey, 2005). One of the strong suits of fluoroquinolones, the postantibiotic effect also has the impact on dosing strategies. Presence of postantibiotic effect, the suppression of bacterial growth following limited exposure of organisms to antimicrobial (Craig, 2001), may improve the therapeutic outcome in case of margin pharmacokinetic/pharmacodynamics index values and may provide administration at longer dosing intervals.
The aim of this study was to determine the effect of ciprofloxacin on urinary bacterial isolates, determine the postantibiotic effect and incorporate this information with pharmacokinetic profile of ciprofloxacin in order to evaluate current standard dosing regimen of 500 mg/12 hours and 750 mg/12 hours for orally administered ciprofloxacin in complicated urinary tract infections.
Materials and Methods
Pharmacokinetic simulation
In order to obtain pharmacokinetic parameters (AUC, Cmax) necessary for calculation of efficacy indices, simulation was performed using literary values of the pharmacokinetic parameters for one-compartment model (F, Vd, Ka, Ke) using a methodology described previously (Navarro et al., 2002a; Navarro et al., 2002b). Time-concentration curves were simulated for 500 mg and 750 mg twice daily orally administered ciprofloxacin. Simulation was carried out using WinNonlin® Version 4.1 by Pharsight Corporation. First-order input, first-order output, and no lag time model from WinNonlin Model Library was used. Input for volume of distribution (Vd) was expressed in liters using standard weight of 70 kg. Dosing parameters including the number of doses (3), amount of the dose (500 mg and 750 mg), and dosing time (0 hour and 12 hours) were entered and simulation was performed. Bioavailability (F) was included into dose calculation. For model used, Ka, the absorption rate constant, is the rate at which drug enters the central compartment from outside the system, and Ke, the elimination rate constant, is the rate at which drug leaves the system from the central compartment. Pharmacokinetic parameters used for simulations were: F = 0.7, ka = 2.5 h-1, Vd = 3.7 L/kg and ke=0.19 h-1 (Navarro et al., 2002b).
Bacterial strains and media
Two Gram negative (Escherichia coli, Proteus mirabilis) and two Gram positive strains (Staphylococcus aureus, S. epidermidis) from clinical urinary isolates were supplied by Institute of public health of Vojvodina, Center of Microbiology. The strains were cultured in Mueller–Hinton broth (Torlak Institute, Belgrade, Serbia) and Mueller–Hinton agar (Torlak Institute, Belgrade, Serbia) was used for determination of viable counts. Inoculums were replenished day before the experiments to ensure the logarithmic phase of growth at the time of the exposure to antibiotic. Inoculum was prepared making a direct saline suspension colonies from a pure culture, and it was adjusted using a densitometer to achieve a 0.5 McFarland turbidity standard (this leads to a suspension containing approximately 1 x 108 CFU/mL).
Antimicrobial agents and MIC determination
The antimicrobial agent used was ciprofloxacin (Zdravlje Leskovac, Serbia) and stock solution from dry powder was prepared according to manufacturer’s recommendations. The MIC was determined for each isolate using the broth dilution method defined by Clinical and Laboratory Standards Institute standards (CLSI, 2006). Serial two-fold dilutions of ciprofloxacin ranging from 8 to 0.0039 µg/mL were prepared in Mueller-Hinton broth. During testing, multiple standard test tubes were filled with broth containing varying concentrations of the ciprofloxacin and the culture suspension was then added to the tubes. The tubes were incubated at 37°C for 24 hours. Following the incubation, the tubes were checked for bacterial growth. If the broth became cloudy or a layer of cells has made at the bottom, then bacterial growth has ensued. The results of the broth dilution method are reported in MIC, or the lowest concentration of antibiotics that stopped bacterial growth. For every strain, testing was performed in triplicates, and results were displayed as a mean value.
Postantibiotic effect determination
Postantibiotic effect of ciprofloxacin was determined using methodology described previously (Spangler et al., 1998). Tubes were filled to a final volume of 5 mL with 0.5 mL bacterial suspension, 4.4 mL of Mueller-Hinton broth and 0.1 mL of previously prepared saline and antibiotic mixture (only 0.1 mL saline solution was added to the negative controls). Bacteria were subjected to the ciprofloxacin concentration of ½× MIC, 1× MIC and 4 × MIC. The final inoculum was 106 to 107 CFU/mL. Control tubes and antibiotic-containing tubes were incubated in a 37°C water bath. The time of antibiotic exposure was 1 hour and 2 hours. After the incubation time, antibiotics were removed using dilution method (1: 1000-10000) with antibiotic free broth. Thereafter, 10-μL samples were plated onto the surfaces of Mueller-Hinton agar plates. This was defined as zero time after antibiotic removal. Diluted suspensions of bacteria were further incubated at 37°C for 6 hours, and at hourly intervals 0.5 mL was removed and plated onto agar. A control, antibiotic free culture was handled in the same manner. Viability count was used to determine and compare the growth kinetics of bacterial colonies exposed to the antibiotic and negative control group and time-growth curves were constructed. The number of viable bacteria was determined at zero time after the antibiotic removal and at hourly intervals for next 6 hours. The PAE was calculated with the standard formula of Craig and Gudmundsson (Craig and Gudmundsson, 1996), as a difference in time necessary for the colony forming units to increase 10-fold (desired increase of 1 log10) between test and control cultures from the count observed at zero time. A 10-fold growth rate increase was arbitrarily chosen because beyond that level, the rate of growth of the organisms exposed to the antibiotic is the same as that of the untreated controls.
Pharmacokinetic/pharmacodynamics parameters
By using in vitro MIC data and simulated plasma profiles, the pharmacokinetic/pharmacodynamic markers of antimicrobial activity (AUC/MIC and Cmax/MIC) were determined. AUC/MIC and Cmax/MIC were calculated as the area under the concentration–time curve or the highest concentration reached over 24 hours divided by determined MIC values of tested pathogens. These results were incorporated with post-antibiotic effect duration, in order to fully grasp pharmacodynamic profile of ciprofloxacin. Pharmaco-kinetic/pharmacodynamic breakpoints targeting desired thresholds of AUC/MIC of 125 (Forest et al., 2004) and Cmax/MIC of 10 (Drusano et al., 2004) have also been determined. These breakpoints represent the highest MIC in which the target pharmacokinetic/pharmacodynamic indices values would be reached with tested dosing regimens.
Results
Figure 1 shows simulated plasma curves corresponding to dosage regimens of 500 mg/12 hours and 750 mg/12 hours of ciprofloxacin for patients with standard weight of 70 kg. The MIC determined for ciprofloxacin on different bacterial strains ranged from 0.0156 µg/mL for Escherichia coli and Proteus mirabilis, 0.125 µg/mL for S. aureus to 0.5 µg/mL for S. epidermidis. Table I shows duration of postantibiotic effect induced by ciprofloxacin on different bacterial strains. Positive postantibiotic effect was found for all isolates subjected to the effect of ciprofloxacin. Postantibiotic effect duration varied between different bacterial strains, as well as between different concentrations and exposure times. For these isolates, ciprofloxacin induced postantibiotic effect ranging from 0.48 - 2.60 hours for Gram positive strains, and from 0.50 – 2.30 hours for Gram negative strains. Integrated pharmacokinetic/pharmacodynamic parameters for the simulated pharmacokinetic data and the MIC measured in vitro are displayed in Table II.
Figure 1: Simulated ciprofloxacin concentrations in plasma for the dosage regimens of 500 mg/12 hourly and 750 mg/12 hourly
Table I: Postantibiotic effect induced by ciprofloxacin on different bacterial strains
| Incubation time | Antibiotic concentration |
Duration of postantibiotic effect (hour) | |||
|---|---|---|---|---|---|
| Escherichia coli | Proteus mirabilis | Staphylococcus epidermidis | Staphylococcus aureus | ||
| 1 hours | ½ MIC | 0.75 | 0.50 | 0.48 | 0.50 |
| 1 MIC | 0.83 | 0.78 | 0.65 | 0.53 | |
| 4 MIC | 0.93 | 1.23 | 1.42 | 1.35 | |
| 2 hours | ½ MIC | 0.90 | 0.83 | 1.68 | 0.65 |
| 1 MIC | 1.08 | 1.07 | 1.83 | 0.93 | |
| 4 MIC | 2.20 | 2.13 | 2.60 | 2.18 | |
Table II: Pharmacokinetic/pharmacodynamics efficacy indices and pharmacokinetic/pharmacodynamics breakpoints following orally administered
| PK/PD index | Escherichia coli, Proteus mirabilis (MIC 0.0156 ) | Staphylococcus epidermidis (MIC 0.5) | Staphylococcus aureus (MIC 0.125) | PK/PD breakpoint |
|---|---|---|---|---|
| AUC/MIC | AUC/MIC | AUC/MIC | Target AUC/MIC >125 | |
| 500 mg 12 hourly | 859.0 | 26.8 | 107.2 | 0.1 µg/mL |
| 750 mg 12 hourly | 1718.2 | 53.6 | 214.4 | 0.2 µg/mL |
| Cmax/MIC | Cmax/MIC | Cmax/MIC | Target Cmax/MIC >10 | |
| 500 mg 12 hourly | 78.2 | 2.4 | 9.8 | 0.1 µg/mL |
| 750 mg 12 hourly | 154.5 | 4.8 | 19.3 | 0.2 µg/mL |
Dosing regimens of 500 mg/12 hours and 750 mg/12 hours produced variable AUC/MIC and Cmax/MIC values. Both regimens were equally efficient, with values high above desired range on microorganisms with lowest MIC (E. colli and P. mirabillis), while neither were sufficient for S. epidermidis, with MIC of 0.5 µg/mL. For S. aureus, 500 mg/12 hours dosing regimen comes close to target values, while 750 mg/12 hours produces values sufficiently high for eradication of this microorganism. Pharmacokinetic/pharmacodynamic breakpoints, which illustrate the MIC values for which main pharmacokinetic/pharmacodynamic ratios reach values required for clinical success (Jacobs, 2001) were in range of 0.1-0.2 µg/mL.
Discussion
Fluoroquinolones are often used as the drugs of choice for the empirical treatment of uncomplicated and complicated urinary tract infections. A 10-day course of ciprofloxacin is recommended for patients with complicated urinary tract infections or acute pyelonephritis, if the causative uropathogen is susceptible (Chen et al., 2013). Though usually successfully treated with antibiotics, complicated urinary tract infections are often incompletely resolved by antibiotic therapy and frequently recur either through relapse or recurrent infection (Barber et al., 2013). As stated before, for the optimal clinical outcome, high concentrations at the site of the infection are critical for fluoroquinolones (Drusano et al., 2004). For fluoroquinolones, at Cmax/MIC ratio >10 (Drusano et al., 2004), this is the best predictor of clinical outcome, but at lower peak concentrations, AUC/MIC ratio is of better predictive value. AUC/MIC value >25 might be sufficient for less severe infections and/or immunocompetent hosts, but with a value of >100 appear necessary for severe infections and/or immune-compromised hosts (Jacobs, 2001). However, level of AUC/MIC of 125 established in the study of pharmacodynamics of ciprofloxacin in critically ill has been widely accepted as an endpoint that correlates best with rapid bacteriologic and clinical responses (Forest et al., 2004).
In evaluation of adequacy of ciprofloxacin in treatment of complicated urinary tract infections ciprofloxacin was tested on 4 different bacterial strains from urinary isolates. Ciprofloxacin showed excellent effect on Escherichia and Proteus strains but even though all strains were listed as susceptible according to the microbiological standards, pharmacokinetic/pharmacodynamic evaluation suggested that plasma concentrations reached using standard dosing regimens (500 mg/12 hours and 750 mg/12 hours) were not adequate to successfully treat infections caused by all tested pathogens. Influence of the type of the pathogen causing the infection on pharmacokinetic/pharmacodynamic breakpoints is reflected in the MIC value. Microorganisms listed as susceptible can have wide range of actual MIC values, and since MIC are reported in multiplication factors of two, with each level of decreased susceptibility a two-fold increase in pharmacokinetic component of pharmacokinetic/pharmacodynamic is necessary to maintain the target ratio (Schentag, 2000). Clinical breakpoints are used in clinical microbiology laboratories to categorize microorganisms as clinically susceptible, intermediate or resistant depending on the quantitative antimicrobial susceptibility as indicated by the MIC value determined in a well-defined standard test system (Mouton et al.,2012). However, whether the results of the in vitro susceptibility testing of bacterial isolates to fluoroquinolones can predict the clinical outcome of patients with urinary tract infections, especially complicated urinary tract infections, is controversial (Chen et al., 2013). Clinicians rely on laboratory reports of susceptibility of microorganism to an antibiotic when determining the potential use of an antibiotic in treatment of infection. Susceptibility breakpoint of 1 µg/mL for ciprofloxacin may categorize significant numbers of isolates as susceptible when evidence suggests that not all complicated urinary tract infections caused by these isolates can be successfully treated with ciprofloxacin. For an example, with the MIC 0.5 µg/mL this strain of S. epidermidis is susceptible to ciprofloxacin but AUC/MIC ratios are much lower than the desired threshold of 125 even for maximum dose of 750 mg. These findings indicate the necessity of reevaluating current breakpoints used for ciprofloxacin in our standard testing. Pharmacokinetic/pharmacodynamic break-points, which illustrate the MIC values for which main pharmacokinetic/pharmacodynamic ratios reach values required for clinical success (Jacobs, 2001) indicate for MIC over 0.2 µg/mL ciprofloxacin, may not provide eradication of susceptible organisms. Also, an interesting insight into complexity of ciprofloxacin pharmacodynamics has been provided by the presence of time dependent postantibiotic effect noted in this study. Duration of postantibiotic effect observed in our study is in accordance with previous research where duration of postantibiotic effect induced by ciprofloxacin on Gram negative bacteria was 1-2.2 hours (Minguez et al., 1991) and 1.1-2.4 hours on Gram positive (Licata et al., 1997). While, as expected, ciprofloxacin exhibited strong concentration-dependent postantibiotic effect, time-dependent postantibiotic effect was also detected. At the same antibiotic concentrations postantibiotic effect duration increased with prolonged exposure to antibiotic. For instance, at concentration of 4 times the MIC for Proteus mirabilis after incubation for 1 and 2 hours, postantibiotic effect has increased from 1.23 to 2.13 hours prospectively. Same was observed for all 4 bacterial strains, bur time-dependent postantibiotic effect was the most prominent at higher concentrations. This shows that that not only concentration of ciprofloxacin plays an important role in bacterial killing but that time of exposure to antibiotic is also significant. This was also demonstrated in a study by Zelenitsky et al. showed that the AUC/MIC was most strongly associated with bactericidal activity and the Cmax/MIC was most predictive of early bacterial killing the time at which levels of drug exceed the MIC (t>MIC) was significantly associated with the final bacterial counts at 24 hours (Zelenitsky et al., 2003). For example, a T >MIC value of <55% of the dosing interval was only bacteriostatic and maximal antibacterial response at 24 hours was associated with t>MICs > 70%. Importance of adequate dosing intervals lies in the fact that the same AUC/MIC ratio can be obtained with different dosing regimens but can result in different Cmax/MIC or T>MIC parameters (Scaglione et al., 2003). Other important application of pharmacokinetic/pharmacodynamic breakpoints in choosing the dosing regimen lies in the fact that maximizing the T>MIC and AUC/MIC may offer an opportunity to limit the development of resistance to fluoroquinolones. Low concentrations at the end of the dosing interval may promote bacterial resistance. The concept of mutant prevention concentration refers to the concentration that prevents the growth of not only fully susceptible, but also low resistant strains (Blondeau et al., 2004; Olofsson et al., 2006). Keeping the concentration of drug above the mutant prevention concentration during entire dosing interval and providing AUC/MIC ratios as high as possible reduces the potential of resistance selection (Firsov et al., 2003).
Conclusion
Ciprofloxacin in standard dosing regimen remains a good choice of antibiotic for treatment of complicated urinary tract caused by susceptible Gram negative microorganisms, but in severe, recurrent or chronic infections, especially those caused by Gram positive bacteria which often have higher MIC values, deeper analysis is necessary in order to achieve optimal results.
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