Pharmaceutical Microbiology, University of Bonn, Meckenheimer Allee 168, 53115 Bonn, Germany
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Abstract |
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Keywords: pharmacokinetics, pharmacodynamics, Cmax/MIC, T>MIC, AUC/MIC
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Historical development of the pharmacological indices |
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A relationship between the therapeutic efficacy of penicillin and its concentration in the serum was observed by Eagle et al.1 in 1950. These authors realized from experiments in mice and rabbits that the bactericidal action stopped abruptly as soon as the serum penicillin fell to ineffective levels. Furthermore, they observed a close parallelism between the aggregate time for which penicillin remains at bactericidal levels and the therapeutic efficacy of the particular schedule. Penicillin concentrations higher than the effective level did not expedite the cure of the animals. These investigations generated the basis for the pharmacological index T>MIC (Figure 1), and recognized the time-dependent efficacy of penicillin.13 The term pharmacokinetic, which describes the concentrationtime profile of drugs in humans, was first used by a paediatrician, F. Dost,4 in 1953.
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At the end of the 1950s and in the 1960s, as the pharmacokinetics of antibiotics were studied in more detail, first insights into the concentrationtime profiles of antibiotics in patients became apparent. The relationship between the various routes of administration of antibiotics and the influence of body weight on serum concentrations were examined by many authors.610 Most linked the observed blood or serum concentrations in the patients with the therapeutic efficacy of the antibiotic. Goodman & Gilman11 stated that therapeutic blood levels should be sustained at two to five times the minimal inhibitory concentration (MIC) found in vitro.
A connection between the antibiotic concentration achieved in a patient and the susceptibility of a pathogen was put forward by Naumann12 in 1971. He suggested that the efficacy of an antibiotic in a particular infection could be defined in terms of the drug concentrations in vivo and the antibacterial activity of a substance determined by the MIC. The appropriate blood level for defining susceptibility was related to the average drug level in the middle of the dosing interval (t = /2). According to Naumann, a pathogen is susceptible if the MIC of the pathogen is equal to or lower than the
/2-blood level. The breakpoint between intermediate and resistant is defined by the mean
/2-blood level using high dosages.13
In 1974, Klastersky et al.14 examined the bacteriostatic and bactericidal activity of the serum and urine of 317 cancer patients with a bacteriologically proven infection. They recognized that when the peak titre of bacteriostatic activity in serum was 1:8, the infection was cured in
80%...The response to therapy of patients with uri-nary tract infections correlated best with the inhibitory level found in the urine; clinical cure was observed in at least 90% of the patients who had a titre of bacteriostatic activity in urine
1:4.14 The peak titre of bacteriostatic activity has been developed into the pharmacological index Cmax/MIC (Figure 2), and many authors still associate a Cmax/MIC ratio of >8 with an improved clinical outcome.1517
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Following the use of the area under serum bactericidal curve (= AUBC) (which was determined by plotting the reciprocal values of the bactericidal titre versus time and applying the trapezoidal rule)19 to therapy with corticosteroids and warfarin by Frey et al.20 and OReilly,21 Barriere et al.19 applied the principle to comparing the efficacy of a combination therapy of two antibiotics in 1985. On the basis of the AUBC from Barriere et al., the AUIC was first used in 1988 by Flaherty et al.22 They administered clindamycin to six male volunteers, determined serum inhibitory titres, and plotted the reciprocal values of the titres versus time. They defined the AUIC as the area under the serum inhibitory curve, which is calculated via the reciprocal values of serum inhibitory titres.
In 1991, Schentag et al.23 newly defined the AUIC (see below), and Forrest et al.15 matched the AUIC to the pharmacological index AUC/MIC in 1993.
A major area of research for Craig and his colleagues is the examination of the efficacy of antibiotics in animal models. They have mainly utilized results of the murine lung and thigh infection models to correlate the pharmacological indices with the survival of the animals and the decreasing number of pathogens at the site of infection.24
Craig divided the pharmacology of antibiotics into pharmacokinetics (PK) and pharmacodynamics (PD). The former describes the concentrationtime profile of drugs in the host, whereas pharmacodynamics describes the antimicrobial effect of an antibiotic at its target pathogen.25
The International Society for Anti-Infective Pharmacology (ISAP) is an interdisciplinary scientific society that promotes the study of the PK and the PD of antibiotics so as to improve dosing regimens.26 Since the foundation of the ISAP in 1991, the study and use of pharmacokinetic and pharmacodynamic principles in antibiotic therapy has increased greatly. Based on their mode of action, antibacterial drugs are divided into time- and concentration-dependent antibiotics.
Variation in the definition of pharmacological indices used in published materials has caused confusion. In order to avoid this, the ISAP published a paper about the PK/PD terminology for anti-infective drugs, in which the PK and PD parameters and the PK/PD indices are defined.27
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PK/PD terminology according to the ISAP |
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Time>MIC (to be written as T>MIC)
Definition: the cumulative percentage of time over a 24 h period that the drug concentration exceeds the MIC.
Note: if the period is other than 24 h, this should be stated explicitly.
T>MIC (the expression tc>MIC would be more accurate) is mainly used to predict the efficacy of time-dependent antibiotics (e.g. ß-lactams, glycopeptides, macrolides, clindamycin and oxazolidinones). Drugs that belong to these classes show no or little enhancement of the effect with an increase in antibiotic concentration. The optimal concentration is mostly the two- to four-fold MIC of the pathogen.28
Peak/MIC (Cmax/MIC) (ratio)
Definition: the peak level divided by the MIC.
In the literature, Cmax/MIC is also denoted as peak/MIC, inhibitory quotient (IQ) or inhibitory rate (IR).16,18,29 This index is used to predict or describe the antibacterial effect of concentration-dependent antibiotics. Aminoglycosides and quinolones show such an enhanced activity with increasing concentrations.
AUC/MIC
Definition: the area under the concentrationtime curve over 24 h divided by the MIC. If a subscript indicating another time period is not present, the AUC is assumed to be the 24 h value at steady state.
Note: For all practical purposes, the expression AUC/MIC should be used to show PK/PD relationships involving the AUC and MIC.
The PK/PD index AUC/MIC (Figure 3) is used to predict the efficacy of concentration-dependent antibiotics (see also Cmax/MIC). Some authors use AUIC as a universal index.23,30 Because of the diverse definitions of the AUC/MIC and AUIC in the literature, an objective comparison between the various publications and breakpoints is difficult. However, many authors use the definition of AUIC by Schentag. In 1991, Schentag et al.23 described the AUIC (= area under the inhibitory curve) as the quotient of the area of the AUC, where the concentration is above the MIC of the pathogen, and the MIC. Some years later, Forrest et al.15 defined the AUIC as the quotient of the AUC24 and the MIC.
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Application of pharmacological indices to breakpoints |
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The PK and PD of antibiotics are also used to try to predict the outcome of therapy via pharmacological indices determined from in vitro models, animal models or clinical trials. The magnitude of a PK/PD-index is calculated, when bacterial killing is observed, or clinical cure is obtained in clinical trials. Using a given dosage of an antibiotic (resulting in known AUC and Cmax), PK/PD breakpoints can be used for the calculation of a value that can serve as a breakpoint for susceptibility.
Table 2 shows PK/PD breakpoints suggested by various authors that can be applied for the calculation of MIC breakpoints. Although the PK/PD breakpoints are based on experimental data determined in animal models or in vitro models, they are claimed to predict with a high probability the success of a therapy in patients.15,32,33 Only a few clinical trials are taken into account, and these are often retrospective studies with a small number of patients.
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Conclusion |
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By applying mean PK/PD breakpoints to the calculation of MIC breakpoints, as in Table 3, the MIC breakpoints of amoxicillin are 0.6 or 1 mg/L. If the MIC for the pathogen does not exceed this value, therapy should be successful. The main indications for amoxicillin are respiratory tract and urinary tract infections. The most likely pathogens are Streptococcus pneumoniae and Haemophilus influenzae for respiratory tract infections, and Escherichia coli and Proteus mirabilis for urinary tract infections. Whereas the MIC values for the natural population (susceptible) of S. pneumoniae and H. influenzae are well below the MIC breakpoint of 0.6 mg/L (Table 3), the MIC values for the natural population (susceptible) of E. coli and P. mirabilis are well above this MIC breakpoint.37 Nevertheless, if the therapy with amoxicillin is successful, this is as a result of the high concentration of amoxicillin in the urine. This example shows that a direct transfer of the PK/PD breakpoints can result in wrong conclusions, when looking at different infection sites and different pathogens.
The criticism by Naber & Wiedemann38 of Naumanns breakpoint /2 can also be applied to the pharmacological indices. Depending on the patient and the infection, PK can vary enormously, resulting in different concentrationtime profiles. The calculation of most pharmacological indices is usually derived from plasma concentrations. In addition, the tissue penetration of various antibiotics varies and is, furthermore, influenced by the infection. Thus, at the site of infection, the concentrations often are completely different from those in the plasma of a patient. For example, during therapy of meningitis, the antibiotic has to pass the bloodbrain barrier and therefore the dosage of the antibiotic has to be high and sustained. Circumstances like these can profoundly affect the pharmacokinetic parameters.
The MIC for a pathogen, which is a PD parameter used in most pharmacological indices, can also vary markedly depending on whether it is determined in plasma, in urine or in broth. Usually, it is done in broth and the inoculum is in the exponential growth phase. It is well known that physiological conditions in vitro, such as nutrient supply and pH, do not correspond with those in vivo. In addition, the results of MIC determinations depend on the methods used. Even though essential methodical steps like inoculum, source of the broth, incubation temperature, and incubation time are standardized by the NCCLS or BSAC, variations (for example in the cation concentration in the medium) can result in considerable fluctuations in the MIC values.39
The media used allow optimal growth, but the generation time of bacteria at the site of infection or in biofilms, which can exist on tissue surfaces or on plastics, is much longer. Nevertheless, it is assumed that the effect of an antibiotic is the same. Furthermore, the MIC indicates only the concentration that inhibits the visible growth of bacteria after 1824 h incubation. The effect of antibiotics in the same antibiotic class can be considerably different although the MIC may be the same. For example, erythromycin shows a bacteriostatic and telithromycin a bactericidal effect. Thus, the MIC cannot provide any indication of the type of action of an antibiotic.
The increase in the PK/PD breakpoint given by a higher dosage suggests that a higher dose should always result in a better efficacy. But an increase in the dosage usually correlates with increasing efficacy only within a narrow concentration range. Some antibiotics even show a reduced activity at high concentrations. This phenomenon was originally observed by Eagle et al.2 in 1948 with penicillin and is known today as the Eagle effect.
The A.U.I.C. program of Adelman & Schentag34 is a good attempt to use pharmacological indices in routine clinical work in a fast, easy and practical way. However, as the authors suggest, the program should be used critically. To optimize the clinical cure rate, calculations of the antibiotic dosage are based on an AUC/MIC value of 125. This is independent of whether a time-dependent or a concentration-dependent antibiotic is chosen. The program gives the user an opportunity to enter demographic data and so-called infection factors, such as underlying diseases, renal and hepatic failure, etc. These data influence the list of the most likely causative pathogens. Demographic data, such as body weight or age, change the AUC value via the clearance. If the clearance of the antibiotic in the patient is unknown, the program calculates a standard clearance by using the CockcroftGault equation. The program could be further enhanced by allowing changes in the AUC value derived from antibiotic concentrations at the specific site of infection, as suggested by the infection factors.
Furthermore, as far as the incidence of resistance is concerned in determining the choice and the MIC values for the pathogens, it is not clear to which international or national database the program refers. However, the program is a useful tool for healthcare professionals although all results obtained from the program should be examined critically, as the authors emphasize by their statement the decisions of the program are not liable for the work of the physician.
In this context, it is questionable if the pharmacological indices really improve the dosing of antibiotics. The risk of under- or over-dosing is evident, as variability in the PK and PD parameters in themselves leads to considerable diversity in PK/PD breakpoints. It is difficult to reduce the complex situation existing in the body during an infection simply to only one value. Thus, it is far too optimistic to generalize the PK/PD indices down to one universal PK/PD index for all antibiotics, species and infection sites, that guarantees a clinical cure. Dealing with PK and PD aspects of antibiotic therapy helps to determine the correct dosage, but for the clinical application of PK/PD breakpoints, further investigations are necessary. The breakpoints have to be verified in prospective clinical trials that include a large number of patients, as in the work of Preston et al.40 Retrospective studies do not usually give precise evidence for the prediction of the efficacy from pharmacological indices. For example, a retrospective analysis of clinical trials by Sánchez-Recio et al.41 showed that successful therapy with ciprofloxacin was observed in 100% of the treated patients even though the index AUC/MIC varied from 3.6 to 5675.
Furthermore, the evaluation of clinical trials using Monte Carlo Simulation has enabled a specification of the parameters that are responsible for the value of the pharmacological index since details of the pharmacokinetics can be incorporated into the evaluation.28
Thus, an adjustment of the PK/PD breakpoints to the severity of an infection, to Gram-negative and Gram-positive pathogens, to a concentration-dependent and a time-dependent antibiotic effect and to the site of infection seems to be the way forward.
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Footnotes |
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References |
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