Mathematical examination of dual individualization principles (II): The rate of bacterial eradication at the same area under the inhibitory curve is more rapid for ciprofloxacin than for cefmenoxime

Comparative Efficacy of Continuous Ceftazidime Infusion vs. Intermittent Bolus against In Vitro Ceftazidime-Susceptible and -Resistant Pseudomonas aeruginosa Biofilm

Background: As the anti-biofilm pharmacokinetic/pharmacodynamic (PK/PD) properties of antibiotics are not well-defined, we have evaluated the PK/PD indices for different regimens of ceftazidime (CAZ; with/without colistin) against Pseudomonas aeruginosa biofilm. Methods: We have used the Center for Disease Control and Prevention Biofilm Reactor with two susceptible (PAO1 and HUB-PAS) and one resistant (HUB-XDR) strains of P. aeruginosa. The regimens were CAZ monotherapies (mimicking a human dose of 2 g/8 h, CAZ-IB; 6 g/daily as continuous infusion at 50 mg/L, CAZ-CI50; and 9 g/daily at 70 mg/L, CAZ-CI70) and CAZ-colistin combinations. Efficacy was correlated with the CAZ PK/PD parameters. Results: CAZ-CI70 was the most effective monotherapy against CAZ-susceptible strains (Δlog CFU/mL 54-0 h = -4.15 ± 0.59 and -3.05 ± 0.5 for HUB-PAS and PAO1, respectively; p ≤ 0.007 vs. other monotherapies), and adding colistin improved the efficacy over CAZ monotherapy. CAZ monotherapies were ineffective against the HUB-XDR strain, and CAZ-CI50 plus colistin achieved higher efficacy than CAZ-IB with colistin. The PK/PD index that correlated best with anti-biofilm efficacy was fAUC0-24h/MIC (r2 = 0.78). Conclusions: CAZ exhibited dose-dependent anti-biofilm killing against P. aeruginosa, which was better explained by the fAUC0-24h/MIC index. CAZ-CI provided benefits compared to CAZ-IB, particularly when using higher doses and together with colistin. CAZ monotherapies were ineffective against the CAZ-resistant strain, independently of the optimized strategy and only CAZ-CI plus colistin appeared useful for clinical practice.

Methodological features of clinical pharmacokinetic-pharmacodynamic studies of antibacterials and antifungals: a systematic review

BACKGROUND

Pharmacokinetic (PK)-pharmacodynamic (PD) indices relate measures of drug exposure to antibacterial effect. Clinical PK-PD studies aim to correlate PK-PD indices with outcomes in patients. Optimization of dosing based on pre-clinical studies means that PK-PD relationships are difficult to establish; therefore studies need to be designed and reported carefully to validate pre-clinical findings.

OBJECTIVES

To describe the methodological features of clinical antibacterial and antifungal PK-PD studies that reported the relationship between PK-PD indices and clinical or microbiological responses.

METHODS

Studies published between 1980 and 2015 were identified through systematic searches. Methodological features of eligible studies were extracted.

RESULTS

We identified 85 publications containing 97 PK-PD analyses. Most studies were small, with fewer than 100 patients. Around a quarter were performed on patients with infections due to a single specific pathogen. In approximately one-third of studies, patients received concurrent antibiotics/antifungals and in some other studies patients received other treatments that may confound the PK-PD-outcome relationship. Most studies measured antimicrobial concentrations in blood/serum and only four measured free concentrations. Most performed some form of regression, time-to-event analysis or used the Hill/Emax equation to examine the association between PK-PD index and outcome. Target values of PK-PD indices that predict outcomes were investigated in 52% of studies. Target identification was most commonly done using recursive partitioning or logistic regression.

CONCLUSIONS

Given the variability in conduct and reporting, we suggest that an agreed set of standards for the conduct and reporting of studies should be developed.

Optimal dosing of antibiotics in critically ill patients by using continuous/extended infusions: a systematic review and meta-analysis

Introduction

The aim of this study was to determine whether using pharmacodynamic-based dosing of antimicrobials, such as extended/continuous infusions, in critically ill patients is associated with improved outcomes as compared with traditional dosing methods.

Methods

We searched Medline, HealthStar, EMBASE, Cochrane Clinical Trial Registry, and CINAHL from inception to September 2013 without language restrictions for studies comparing the use of extended/continuous infusions with traditional dosing. Two authors independently selected studies, extracted data on methodology and outcomes, and performed quality assessment. Meta-analyses were performed by using random-effects models.

Results

Of 1,319 citations, 13 randomized controlled trials (RCTs) (n = 782 patients) and 13 cohort studies (n = 2,117 patients) met the inclusion criteria. Compared with traditional non-pharmacodynamic-based dosing, RCTs of continuous/extended infusions significantly reduced clinical failure rates (relative risk (RR) 0.68; 95% confidence interval (CI) 0.49 to 0.94, P = 0.02) and intensive care unit length of stay (mean difference, −1.5; 95% CI, −2.8 to −0.2 days, P = 0.02), but not mortality (RR, 0.87; 95% CI, 0.64 to 1.19; P = 0.38). No significant between-trial heterogeneity was found for these analyses (I² = 0). Reduced mortality rates almost achieved statistical significance when the results of all included studies (RCTs and cohort studies) were pooled (RR, 0.83; 95% CI, 0.69 to 1.00; P = 0.054).

Conclusions

Pooled results from small RCTs suggest reduced clinical failure rates and intensive care unit length-of-stay when using continuous/extended infusions of antibiotics in critically ill patients. Reduced mortality rates almost achieved statistical significance when the results of RCTs were combined with cohort studies. These results support the conduct of adequately powered RCTs to define better the utility of continuous/extended infusions in the era of antibiotic resistance.

Pharmacokinetic issues for antibiotics in the critically ill patient

OBJECTIVE

To discuss the altered pharmacokinetic properties of selected antibiotics in critically ill patients and to develop basic dose adjustment principles for this patient population.

DATA SOURCES

PubMed, EMBASE, and the Cochrane-Controlled Trial Register.

STUDY SELECTION

Relevant papers that reported pharmacokinetics of selected antibiotic classes in critically ill patients and antibiotic pharmacodynamic properties were reviewed. Antibiotics and/or antibiotic classes reviewed included aminoglycosides, beta-lactams (including carbapenems), glycopeptides, fluoroquinolones, tigecycline, linezolid, lincosamides, and colistin.

DATA SYNTHESIS

Antibiotics can be broadly categorized according to their solubility characteristics which can, in turn, help describe possible altered pharmacokinetics that can be caused by the pathophysiological changes common to critical illness. Hydrophilic antibiotics (e.g., aminoglycosides, beta-lactams, glycopeptides, and colistin) are mostly affected with the pathphysiological changes observed in critically ill patients with increased volumes of distribution and altered drug clearance (related to changes in creatinine clearance). Lipophilic antibiotics (e.g., fluoroquinolones, macrolides, tigecycline, and lincosamides) have lesser volume of distribution alterations, but may develop altered drug clearances. Using antibiotic pharmacodynamic bacterial kill characteristics, altered dosing regimens can be devised that also account for such pharmacokinetic changes.

CONCLUSIONS

Knowledge of antibiotic pharmacodynamic properties and the potential altered antibiotic pharmacokinetics in critically ill patients can allow the intensivist to develop individualized dosing regimens. Specifically, for renally cleared drugs, measured creatinine clearance can be used to drive many dose adjustments. Maximizing clinical outcomes and minimizing antibiotic resistance using individualized doses may be best achieved with therapeutic drug monitoring.

Antibiotic resistance--what's dosing got to do with it?

OBJECTIVE

This review seeks to identify original research articles that link antibiotic dosing and the development of antibiotic resistance for different antibiotic classes. Using this data, we seek to apply pharmacodynamic principles to assist clinical practice for suppressing the emergence of resistance. Concepts such as mutant selection window and mutant prevention concentration will be discussed.

DATA SOURCES

PubMed, EMBASE, and the Cochrane Controlled Trial Register.

STUDY SELECTION

All articles that related antibiotic doses and exposure to the formation of antibiotic resistance were reviewed.

DATA SYNTHESIS

The escalation of antibiotic resistance continues worldwide, most prominently in patients in intensive care units. Data are emerging from in vitro and in vivo studies that suggest that inappropriately low antibiotic dosing may be contributing to the increasing rate of antibiotic resistance. Fluoroquinolones have widely been researched and publications on other antibiotic classes are emerging. Developing dosing regimens that adhere to pharmacodynamic principles and maximize antibiotic exposure is essential to reduce the increasing rate of antibiotic resistance.

CONCLUSIONS

Antibiotic dosing must aim to address not only the bacteria isolated, but also the most resistant subpopulation in the colony, to prevent the advent of further resistant infections because of the inadvertent selection pressure of current dosing regimens. This may be achieved by maximizing antibiotic exposure by administering the highest recommended dose to the patient.

Pharmacoeconomic considerations associated with the use of intravenous-to-oral moxifloxacin for community-acquired pneumonia

BACKGROUND

Intravenous-to-oral (iv/po) conversion is one cost-effective approach to the management of community-acquired pneumonia (CAP).

METHODS

Consecutive patients with CAP were enrolled during 3 study periods (January-March of 2001, 2002, and 2004) with different pharmacy intervention (PI) strategies: iv beta -lactam plus a macrolide (no PI), iv beta-lactam plus a macrolide with iv/po PI (PI switch), and iv moxifloxacin with pharmacist-initiated automatic po moxifloxacin conversion (PI sequential). Costs and outcomes were compared among groups.

RESULTS

Two hundred fifty-one patients were enrolled. The average Fine score was 75, and the mean age of patients was 51 years. In the PI groups, the duration of treatment with iv antibiotics was decreased. Clinical success on day 3 of therapy was improved in the PI sequential group but was similar in all 3 groups on day 7 of therapy and at the end of therapy. The length of stay in the hospital was similar for patients in all 3 groups (mean, 4.39 days). Antibiotic costs were significantly reduced, by $110/patient, in the PI sequential group.

CONCLUSIONS

Conversion from iv to po therapy was accomplished more quickly when converting to the same agent with pharmacist-initiated automatic iv/po conversion, thus reducing the associated cost without compromising efficacy.

Synovial Fluid and Plasma Concentrations of Ceftiofur After Regional Intravenous Perfusion in the Horse

OBJECTIVE

To determine radiocarpal (RC) joint synovial fluid and plasma ceftiofur concentrations after regional intravenous perfusion (RIP) and systemic intravenous (IV) administration.

STUDY DESIGN

Experimental cross-over study.

ANIMALS

Five normal adult horses.

METHODS

One RC joint was randomly selected for RIP and the contralateral RC joint was sampled to determine intrasynovial ceftiofur concentrations after IV administration. Wash-out between IV and RIP was > or = 14 days. After surgical introduction of an intraarticular catheter, ceftiofur (2 g) was administered under general anesthesia either IV or by RIP after tourniquet application. Plasma and synovial fluid were collected over 24 hours. Samples were analyzed using high-performance liquid chromatography with ultraviolet detection and the results were statistically analyzed using a linear mixed effect model.

RESULTS

Mean synovial fluid ceftiofur concentrations were consistently higher after RIP than after IV administration and were > 1 mug/mL (minimal inhibitory concentration [MIC] for common pathogens) for >24 hours. Mean synovial fluid peak concentration of ceftiofur after RIP and IV administration was 392.7+/-103.29 microg/mL at 0.5 hours postinjection (HPI) and 2.72+/-0.31 mug/mL at 1 HPI, respectively. Large variations in synovial fluid and plasma ceftiofur concentrations were observed between horses regardless of administration technique. RIP did not cause adverse effects.

CONCLUSIONS

Under the present experimental conditions RIP with ceftiofur (2 g) induced significantly higher intraarticular antibiotic concentrations in the RC joint in comparison with IV administration. Moreover, after RIP, synovial fluid ceftiofur concentrations remain above the MIC for common pathogens (1 microg/mL) for > 24 hours. No adverse effects from the technique or the antibiotic were observed.

CLINICAL RELEVANCE

RIP with high doses of ceftiofur may be a beneficial adjunctive therapy when treating equine synovial infections which are caused by cephalosporin susceptible microorganisms.

Pharmacodynamics of vancomycin and other antimicrobials in patients with Staphylococcus aureus lower respiratory tract infections

BACKGROUND

Vancomycin is commonly used to treat staphylococcal infections, but there has not been a definitive analysis of the pharmacokinetics of this antibacterial in relation to minimum inhibitory concentration (MIC) that could be used to determine a target pharmacodynamic index for treatment optimisation.

OBJECTIVE

To clarify relationships between vancomycin dosage, serum concentration, MIC and antimicrobial activity by using data gathered from a therapeutic monitoring environment that observes failures in some cases.

METHODS

We investigated all patients with a Staphylococcus aureus lower respiratory tract infection at a 300-bed teaching hospital in the US during a 1-year period. Clinical and pharmacokinetic information was used to determine the following: (i) whether steady-state 24-hour area under the concentration-time curve (AUC24) divided by the MIC (AUC24/MIC) values for vancomycin could be precisely calculated with a software program; (ii) whether the percentage of time vancomycin serum concentrations were above the MIC (%Time>MIC) was an important determinant of vancomycin response; (iii) whether the time to bacterial eradication differed as the AUC24/MIC value increased; (iv) whether the time to bacterial eradication for vancomycin differed compared with other antibacterials at the same AUC24/MIC value; and (v) whether a relationship existed between time to bacterial eradication and time to significant clinical improvement of pneumonia symptoms.

RESULTS

The median age of the 108 patients studied was 74 (range 32-93) years. Measured vancomycin AUC24/MIC values were precisely predicted with the A.U.I.C. calculator in a subset of our patients (r2 = 0.935). Clinical and bacteriological response to vancomycin therapy was superior in patients with higher (> or = 400) AUC24/MIC values (p = 0.0046), but no relationship was identified between vancomycin %Time>MIC and infection response. Bacterial eradication of S. aureus (both methicillin-susceptible and methicillin-resistant) occurred more rapidly (p = 0.0402) with vancomycin when a threshold AUC24/MIC value was reached. S. aureus killing rates were slower with vancomycin than with other antistaphylococcal antibacterials (p = 0.002). There was a significant relationship (p < 0.0001) between time to bacterial eradication and the time to substantial improvement in pneumonia score.

CONCLUSIONS

Vancomycin AUC24/MIC values predict time-related clinical and bacteriological outcomes for patients with lower respiratory tract infections caused by methicillin-resistant S. aureus.

Pharmacokinetics and tissue distribution of intravenous pefloxacin for antibiotic prophylaxis in biliary surgery

The plasma levels and tissue penetration of pefloxacin were studied after prophylactic administration to patients undergoing elective biliary surgery. Pefloxacin was administered as a single dose of 800 mg given intravenously as an infusion 1 h before surgery. Over a period of two years, cultures of bile and stone were performed after cholecystectomy in order to find the main pathogens present in the geographical area of the hospital of Txagorritxu (Vitoria, Spain), as well as to test the antimicrobial susceptibility of these bacteria to pefloxacin. Thirty seven per cent of the bile and stone cultures were positive, and 75 different species were isolated. E. coli was the predominant microorganism (25%). Other frequent microorganisms were E. faecium (9.3%), S. epidermidis (6.6%) and Cl. perfringens (6.6%). Most species isolated were susceptible to pefloxacin, with MIC(90) values of 0.125 microg/ml for E. coli, 0.5 microg/ml for S. epidermidis and 1 microg/ml for Cl. perfringens. E. faecium was resistant, with a MIC(90) value of 8 microg/ml but a MIC(50) of 4 microg/ml (intermediate). After pefloxacin infusion, adequate drug plasma levels (>MIC(90)) for the most frequent pathogens were found throughout the procedure. Elimination half-life was estimated as 22.03+/-6.91 h; the area under the concentration-time curve from zero to infinite had a value of 275.07+/-130.02 mg h/l and the values for volume of distribution at steady-state and plasma clearance were 96.48+/-28.65 L and 3.60+/-1.83 l/h, respectively. Bile pefloxacin concentrations generally exceeded the minimum inhibitory concentrations for most relevant pathogens. Drug levels in gallbladder and subcutaneous tissues were also above the MIC(90) for extended periods. Patients were observed daily throughout their hospital stay. This included examination of the surgical wound and recording of body temperature. No cases of anaerobic infection were noted in the study patients. Other constants such as hospitalization stay and time of recuperation were normal for this type of surgery. According to these results, pefloxacin presents many features that make it suitable for use as a therapeutic prophylactic agent, such as its broad spectrum of antimicrobial activity and favorable pharmacokinetic properties.

Pharmacological principles of antibiotic prescription in the critically ill

The goal of antimicrobial prescription is to achieve effective drug concentrations. Standard antimicrobial dosing regimens are based on research performed often decades ago and for the most part with patients who were not critically ill. More recent insights into antibiotic activity (e.g. the importance of high peak/MIC ratios for aminoglycosides and time above MIC for beta-lactam antibiotics), drug pharmacokinetics (e.g. increased volume of distribution and altered clearances) and the pathogenesis of sepsis (e.g. third space losses and altered creatinine clearances) have made re-evaluation of dosing regimens necessary for the critically ill. The inflammatory response associated with sepsis results in a rapid decrease in serum albumin levels, large fluid shifts and third space losses, initially with a high cardiac output. In turn these changes result in increased creatinine clearance and increased renal drug clearance. Unless these effects are offset by ensuing renal and/or hepatic impairment, with subsequent drug accumulation, antibiotic levels may be too low for optimal efficacy. The institution of continuous renal replacement therapy separately affects antibiotic clearances, and therefore dosing, even further. This article reviews relevant literature and offers principles for more effective and appropriate antibiotic dosing in the critically ill, based on the pharmacokinetic and pharmacodynamic principles of the main antibiotic groups (aminoglyosides, glycopeptides, beta-lactams, carbapenems and quinolones) and knowledge of the pathophysiology of the inflammatory response syndrome. Finally it also provides some guidance on the basic principles of drug prescription for patients receiving continuous renal replacement therapy.

Measures of exposure versus measures of rate and extent of absorption

Regulatory assessment of bioavailability and bioequivalence in the US frequently relies on measures of rate and extent of absorption. Rate of absorption is not only difficult to measure but also bears little clinical relevance. This paper proposes that measures of bioavailability and bioequivalence for drugs that achieve their therapeutic effects after entry into the systemic circulation are best expressed in terms of early [partial area under the concentration-time curve (AUC)], peak plasma or serum drug concentration and total AUC exposure for a plasma or serum concentration-time profile. With suitable documentation, these systemic exposure measures can be related to efficacy and tolerability outcomes. The early measure is recommended for an immediate release drug product where a better control of drug absorption is needed, for example to ensure rapid onset of a therapeutic effect or to avoid an adverse reaction from a fast input rate. The 3 systemic exposure measures for bioavailability and bioequivalence studies can provide critical links between product quality and clinical outcome and thereby reduce the current emphasis on rate of absorption.

A retrospective analysis of pharmacokinetic-pharmacodynamic parameters as indicators of the clinical efficacy of ceftizoxime

OBJECTIVE

To analyse the relationship between a series of estimated pharmacokinetic-pharmacodynamic parameters and the reported efficacy of ceftizoxime.

DESIGN

Retrospective literature search and analysis using different correlation models.

METHODS

The following parameters were calculated for each group of patients included in the study from the simulated plasma concentration curves corresponding to the dosage regimen administered: (i) peak concentration at steady state divided by the minimum inhibitory concentration (CmaxSS/MIC); (ii) the time that the plasma drug concentration exceeded the MIC scaled to 24 hours at steady state [(tSS)24h > MIC]; (iii) the total area under the concentration-time curve over 24 hours at steady state divided by the MIC [(AUC(SS))24h/MIC]; and (iv) the AUC at steady state for the period of time that the concentration is above the MIC over a period of 24 hours divided by the MIC [(AUIC(SS))24h]. A univariate correlation analysis was performed considering efficacy [rate (%) of clinical cure or bacterial eradication] as the dependent variable and the pharmacokinetic-pharmacodynamic parameter as the independent variable, using linear and nonlinear models.

RESULTS

(tSS)24h > MIC was the only parameter that was statistically correlated with efficacy, the linear model being the best choice among the 4 relationship approaches tested. A biased frequency distribution of reported efficacy data constricts the correlation analysis to a narrow range of efficacy and hinders interpretation of the results.

CONCLUSIONS

The reporting of cases with low efficacy rates as well as those with high efficacy rates, including information on patient idiosyncrasies and the infecting organisms, would be of great help in performing retrospective analyses of the use of antimicrobial agents, leading to the optimisation of therapy with this type of drug in clinical practice.

Pharmacokinetics and pharmacodynamics of aztreonam and tobramycin in hospitalized patients

BACKGROUND

Pharmacokinetic/pharmacodynamic (PK/PD) optimization of antibiotic therapy has been shown to improve outcomes in several antibiotic classes. Despite the frequent use of beta-lactams, clinical data in humans remain limited.

OBJECTIVE

This study evaluated the relationship between serum pharmacokinetics, pharmacodynamics, pathogen susceptibility, and clinical outcomes in patients receiving aztreonam or tobramycin monotherapy.

METHODS

The case-report forms of hospitalized patients who received either aztreonam or tobramycin for a bacterial infection in 3 clinical trials conducted between 1982 and 1984 were reviewed for the present study. A pathogen was identified for all included patients, and susceptibility testing was performed to determine the minimum inhibitory concentration (MIC) for each agent. Pharmacokinetic parameters for each antibiotic were determined using population modeling, and variables potentially related to outcomes were evaluated using tree-based modeling, logistic regression, and nonlinear regression methods.

RESULTS

Data from 91 patients were analyzed, 68 treated with aztreonam monotherapy and 23 treated with tobramycin monotherapy. Of the types of infections treated, 39 were intra-abdominal, 42 involved the lower respiratory tract, and 10 involved the skin and skin structures. The pharmacodynamic ratio of the 24-hour area under the curve (AUC24) to the MIC was associated with clinical outcome for both antibiotics: aztreonam and to-bramycin patients with ratios meeting or exceeding the respective 24-hour inverse serum inhibitory titer breakpoints of 184 and 110 were significantly more likely to achieve a successful outcome than were those with ratios not meeting these values (P < 0.01). The probabilities of clinical success in patients at or above and below the AUC24/MIC breakpoints were a respective 85% and 53% for aztreonam and 80% and 47% for tobramycin (both, P < 0.01). When all patients were considered, the likelihood of achieving cure was 5.1 times greater in patients exceeding the target ratios (P < 0.01).

CONCLUSION

PK/PD optimization of both aztreonam and tobramycin is associated with improved patient outcomes.

Antimicrobial management strategies for Gram-positive bacterial resistance in the intensive care unit

This article summarizes the current situation with Gram-positive infections, including the two primary consequences-failure to cure and resistance-relevant to the intensive care unit. The past few years have seen Enterococcus faecium resistance to vancomycin increase from 10% of strains to approaching 60% of strains in some centers. Failure is now so frequent that vancomycin can no longer be safely used. This has lead to use of two new antibiotics, quinupristin/dalfopristin (Synercid), first marketed in the United States in September 1999, and linezolid (Zyvox), which reached the U.S. market in May 2000. Both of these agents are being used to treat culture-proven vancomycin-resistant E. faecium. The calculated areas under the inhibitory curve (AUIC) values of vancomycin, even when its minimal inhibitory concentration (MIC) is 4.0 microg/mL, show almost all vancomycin-resistant E. faecium have AUICs <125. This explains failure, as well as the further selection of this bacteria into subpopulations with progressively higher MICs. Less well defined, but potentially an even greater problem, is the poor efficacy of vancomycin against multiresistant Staphylococcus aureus. Here, there is evidence of clinical failure in lower respiratory tract infection patients, but in most cases the MIC values of the organism have not risen to the point where AUICs are <125. However, the minimum bactericidal concentration of this organism may be considerably higher than its MIC, and in other cases there may be a high inoculum effect or a protein-binding effect to explain the failure of vancomycin to kill multiresistant S. aureus. Besides the increasing use of the new agents, strategies to manage these two increasingly resistant Gram-positive infections include cephalosporin restriction, switch and streamlining when cultures come back from the lab, combination regimens, and cycling in selected intensive care units.

What have we learned from pharmacokinetic and pharmacodynamic theories?

Pharmacokinetic characteristics and pharmacodynamic properties dictate antimicrobial response and, along with natural immune responses, clinical outcomes. As new agents are developed with long half-lives, we will lose the ability to differentiate between concentration-dependent and time-dependent properties. The area under the inhibitory concentration curve (AUIC) defines drug regimens as a ratio of drug exposure to minimum inhibitory concentration (MIC) and allows them to be compared with each other. With AUIC and agents with long half-lives, these comparisons are possible regardless of chemical classification or concentration or time-dependent activity. Historical examples of reduced drug exposure from decreased doses (i.e., cefaclor, clarithromycin, and ciprofloxacin), and thus low AUIC values, directly correlate with drug resistance. In the face of rising MICs (as is occurring worldwide with Streptococcus pneumoniae), close attention to appropriate dosing and concentration above the MIC may delay and potentially even prevent antibiotic resistance. Creating selective pressure on reliable antibiotics by inappropriately reducing their doses will undoubtedly challenge these agents and may destroy entire drug classes with similar mechanisms of action or resistance.

Clinical pharmacology of the fluoroquinolones: studies in human dynamic/kinetic models

Traditional antibiotic dosage adjustments, compensate only for disease-induced changes in the serum concentration profile. Dosage adjustments tend to be effective when a well-defined range of concentration is associated with efficacy. However, the bacterial target of antibiotic action-minimum inhibitory concentration (MIC) is variable, because even susceptible bacteria may differ greatly in their antibiotic susceptibility. Newly developed computerized methods for the quantitation of susceptibility allow for testing of integrated kinetic-susceptibility models in patients. Our attention has focused on fluoroquinolones, since they are relatively nontoxic and provide the necessary dosage range needed to elucidate correlations between concentration and response. Studies of patients with nosocomial gram-negative pneumonia reveal that the best correlation parameters of favorable outcome are approximately 80% of time over MIC and 24-h area under the time-concentration curve (AUC)-to-MIC values >125.

Sparfloxacin: a review

BACKGROUND

The continuing increase in the rate of penicillin and cephalosporin resistance among respiratory pathogens and of cross-resistance to macrolide antibiotics has led to the recommendation that fluoroquinolone antibiotics be used to treat high-risk patients with community-acquired pneumonia (CAP) and acute bacterial exacerbations of chronic bronchitis (ABECB).

OBJECTIVE

This review focuses on sparfloxacin, an oral fluoroquinolone, discussing its mechanism of action, activity, pharmacokinetic characteristics, safety, and efficacy in CAP and ABECB.

METHODS

Studies were identified by a MEDLINE search of the literature from 1990 to 1999, supplemented by educational materials from conferences and symposia.

RESULTS

Sparfloxacin is active against the major respiratory pathogens and against the atypical pathogens in pneumonia that are being reported with increasing frequency. Its long half-life permits once-daily dosing. In large trials in CAP and ABECB in which all isolates were susceptible to both comparators, sparfloxacin was found to have similar efficacy to erythromycin, cefaclor, amoxicillin, ofloxacin, and clarithromycin. Its safety profile is similar to that of the macrolides and other quinolone antimicrobial agents. Photosensitivity, nausea, and diarrhea are the most common adverse events reported in clinical trials of sparfloxacin. Its use is contraindicated in patients with QTc-interval prolongation.

CONCLUSION

The increasing prevalence of beta-lactam- and macrolide-resistant bacteria in respiratory infections emphasizes the need for newer agents such as the fluoroquinolones. The choice between agents should be based on activity against the relevant respiratory pathogens in high-risk patients.

Pharmacodynamic modeling of risk factors for ciprofloxacin resistance in Pseudomonas aeruginosa

OBJECTIVE

To determine risk factors for ciprofloxacin resistance in Pseudomonas aeruginosa.

METHODS

Patients with cultures (any site) positive for P aeruginosa, susceptible to ciprofloxacin, between January 1993 and December 1996 were identified using a computerized database. Factors predictive of emergence of ciprofloxacin resistance in P aeruginosa strains isolated from the same cultured site, within 21 days of the initial culture, were determined. Factors considered included length of stay prior to initial P aeruginosa culture, isolation site, initial minimum inhibitory concentration (MIC), antibiotic area under the 24-hour concentration curve (AUC24), total area under the 24-hour inhibitory concentration curve ([AUIC24] AUC24/MIC summed for all active drugs), antibiotic(s) used as dichotomous variables (yes/no), and use of monotherapy or combination therapy.

RESULTS

Of 635 patients, 43 (7%) subsequently had ciprofloxacin-resistant P aeruginosa isolated. Four significantly differing patient groups were identified: group 1, P aeruginosa isolates from all sites other than the respiratory tract, treated with any drugs; group 2, respiratory tract isolates treated with drugs other than ciprofloxacin; group 3, respiratory tract isolates treated with ciprofloxacin at AUIC24 >110 (microg x h/mL)/microg/mL; and group 4, respiratory tract isolates treated with ciprofloxacin at AUIC24 < or =110 (microg x h/mL)/microg/mL. The observed percentage resistant was a continuous function of prior length of stay in all four groups. Respiratory tract isolates had higher rates of ciprofloxacin resistance (12%) than isolates from other infection sites (4%). Respiratory tract isolates exposed to ciprofloxacin at AUIC24 < or =110 (microg x h/mL)/microg/mL had the highest resistance (17%). At AUIC24 >110 (microg x h/mL)/microg/mL, resistance was decreased to 11%, a rate similar to that seen in respiratory isolates not exposed to ciprofloxacin (7%).

CONCLUSIONS

Application of pharmacokinetic and pharmacodynamic principles to dosing of ciprofloxacin may reduce the risk of ciprofloxacin resistance to the level seen in isolates exposed to other agents.

Antimicrobial action and pharmacokinetics/pharmacodynamics: the use of AUIC to improve efficacy and avoid resistance

In in-vitro and in animal models, antibiotics show good relationships between concentration and response, when response is quantified as the rate of bacterial eradication. The strength of these in-vitro relationships promises their utility for dosage regimen design and predictable cure of human infections. Resistance is also predictable from these parameters, fostering a rational means of using dosing adjustments to avoid or minimize the development of resistant organisms. Newly developed computerized methods for the quantitation of susceptibility allow testing of integrated kinetic-susceptibility models in patients. Our attention has focused recently on fluoroquinolones, since they are relatively non-toxic and provide the necessary range of dosage needed to elucidate correlations between concentration and response in the Intensive Care Unit patient. Studies conducted in patients with nosocomial gram-negative pneumonia reveal good correlations between bacterial eradication and integration of concentration with bacterial susceptibility. In patients, the best correlation parameters are time over MIC, and the ratio of 24-hour AUC to MIC (AUIC). Patients with serious infections like nosocomial pneumonia require bactericidal antimicrobial activity. Studies in our laboratory demonstrate that the minimum effective antimicrobial action is an area under the inhibitory titer (AUIC) of 125, where AUIC is calculated as the 24-hour serum AUC divided by the MIC of the pathogen. This target AUIC may be achieved with either a single antibiotic or it can be the sum of AUIC values of two or more antibiotics. There is considerable variability in the actual AUIC value for patients when antibiotics are given in their usually recommended dosages. Examples of this variance will be provided using aminoglycosides, fluoroquinolones, beta-lactams, macrolides and vancomycin. The achievement of minimally effective antibiotic action, consisting of an AUIC of at least 125, is associated with bacterial eradication in about 7 days for beta-lactams and quinolones. When AUIC is increased to 250, the quinolone ciprofloxacin (which displays in vivo concentration dependent bacterial killing) can eliminate the bacterial pathogen in 1-2 days. Beta lactams, even when dosed to an AUIC of 250, often require longer treatment duration to eliminate the bacterial pathogen, because the in vivo bacterial killing rate is slower with beta-lactams than with the quinolones. This remains true even at AUIC values of 250 for both compounds, which is theoretically identical dosing. Antibiotic activity indices allow clinicians to evaluate individualized patient regimens. Furthermore, antibiotic activity is a predictable clinical endpoint with predictable clinical outcome. This value is also highly predictive of the development of bacterial resistance. Antimicrobial regimens that do not achieve an AUIC of at least 125 cannot prevent the selective pressure that leads to overgrowth of resistant bacterial sub-populations. Indeed, there is considerable anxiety that conventional respiratory tract infection management strategies, which prescribe antibacterial dosages that may attain AUIC values below 125, are contributing to the pandemic rise in bacterial resistance levels.

Basis of anti-infective therapy: pharmacokinetic-pharmacodynamic criteria and methodology for dual dosage individualisation

Antimicrobial therapy should be designed on the basis of microbiological, as well as pharmacokinetic, criteria; microbiological parameters provide information about the susceptibility of the pathogen responsible for the infectious process while pharmacokinetic parameters give information about the potential ability of the drug in question to reach and remain at the sites of infection in the body. Microbiological parameters such as the minimum inhibitory concentration, minimum bactericidal concentration, bacterial titre, bactericidal rate and 'post-antibiotic effect' (PAE) must be considered. Among the pharmacokinetic parameters, the maximum serum concentration at steady state (CmaxSS), area under the concentration-time curve (AUC) and length of time that the serum concentrations exceed a particular value are the most useful in this context. Different relationships between these parameters, known as efficacy indices, have been established to predict the potential efficacy of antibacterial therapy. Antimicrobial dosage individualisation should be based on the optimisation of the efficacy index that best correlates with patient response. It seems appropriate to establish the degree of correlation among the different efficacy indices and clinical response observed in patients by means of a correlation analysis. This type of analysis can be either retrospective or prospective and may be based on linear or maximum response models. Simulation of the plasma concentration curves obtained with the particular regimen administered offers a methodology which is easy to apply and provides the pharmacokinetic information necessary to calculate the different efficacy indices. Information about the susceptibility of the pathogen to the antibacterial in question and about the response to the treatment used is also necessary for the correlation analysis. This type of analysis determines which of the indices is best correlated with efficacy and, hence, is the index to be optimised when attempting to individualise antibacterial therapy for different situations.

Therapy for pneumococcal infection at the millennium: doubts and certainties

Rapidly burgeoning worldwide multiple drug-resistant pneumococcal serotypes pose an urgent demand for new management approaches. Perhaps modern intensive care methods may have alternatives to offer. Indeed, standard assessments such as the admission APACHE II score may overestimate individual risk of death in severe CAP, and mortality can be reduced. However, among those at highest risk for mortality in the early phase of invasive disease, the conclusions reached 2-3 decades ago, that it is questionable whether a more effective drug than penicillin can be developed, and that a reduction in the number of deaths consequent to this infection can be accomplished only by widespread immunoprophylactic measures, remain inescapable. Clearly, as discussed elsewhere in this supplement, the continuing validity of these 20-year-old conclusions and the global prevalence of DRSP demand the development and marketing of new conjugate vaccines, although more widespread use of the existing 23-valent polysaccharide vaccine among high-risk populations is essential in the interim. With respect to resistance selection pressures, antibiotic prescription control may provide the answer. However, patient expectations of antibiotic therapy for trivial respiratory infection is high and, in the United Kingdom, 75% of previously healthy adults will receive it; those who do not will usually consult another physician in an effort to secure such therapy. Thus, without the intervention of government or managed care organizations, self-regulation in prescribing is unlikely. The evidence for beta-lactam treatment failure in meningitis has led to alternative approaches, with vancomycin as the primary agent. Penicillins may remain effective for otitis media, but oral cephalosporins are suspect. Data on pediatric pneumococcal pneumonia continue to suggest use of beta-lactams, at least for disease caused by strains with intermediate penicillin sensitivity. Pallares et al concluded that penicillins and cephalosporins remain the drugs of choice for severe pneumococcal pneumonia in adults. Others who share this conclusion often cite that study as evidence. However, in the case of penicillins, the mortality rate was 6% higher in a subgroup selected for monomicrobial infection and reduced risk factors for mortality when penicillin-resistant infection was present, and the overall mortality was 14% higher with penicillin-resistant strains (taking into account "all comers"). Those who depend on the findings of evidence-based medicine may accept the premise that penicillins and cephalosporins remain the drugs of choice, and agree with Goldstein and Garau that it would indeed be a mistake to adopt alternative therapies. Others may consider the deaths of 6 of 100 patients who were not in the highest-risk group too high a price to pay for statistical significance and may be skeptical of the continued use of beta-lactam therapy on higher-risk patients. In addition, the persistent selection pressure applied by continued use of beta-lactams offers a powerful population-based argument for alternatives. As DRSP continues to spread and resistant strains with penicillin MIC >2 mg/L become more prevalent, new agents such as the azabicyclo-methoxyquinolone, moxifloxacin, and perhaps grepafloxacin, but not the more toxic sparfloxacin and trovafloxacin, will undoubtedly flourish as treatments for CAP. By that time, the results of clinical studies on ketolides and oxazolidinones could offer further choices.

Achieving an optimal outcome in the treatment of infections. The role of clinical pharmacokinetics and pharmacodynamics of antimicrobials

Over the past few decades, the importance of applying pharmacokinetic principles to the design of drug regimens has been increasingly recognised by clinicians. From the perspective of antimicrobial chemotherapy, an improvement in clinical outcome and/or a reduction in toxicity are of primary interest. Before application of these pharmacokinetic theories can be effective, the interrelationships between antimicrobial, pathogen and host factors must be clearly defined. Information regarding the pharmacokinetics of the antimicrobial and the quantification of pathogen susceptibility is required. Even though susceptibility end-points such as minimum inhibitory concentration (MIC) and minimum bactericidal concentration are widely employed, they do not provide any information on dynamic changes of bacterial densities. In this regard, time-kill studies can provide more basic knowledge of the complex bacterial responses to the antimicrobial. Better prediction of these responses can be afforded by the use of mathematical models. More recently, various surrogate end-points employing a combination of suitable pharmacokinetic parameters and susceptibility data, for example the ratio of peak concentration to MIC, the area under the concentration-time curve above the MIC (AUC > MIC), the time above the MIC, or the area under the inhibitory curve (AUIC), have been suggested for better prediction of the activity of different classes of antimicrobials. To allow more extensive investigations of the contribution of pharmacokinetics to the pharmacodynamics of antimicrobials, various in vitro kinetic models have been developed. However, certain limitations exist, and it is necessary to avoid over-interpretation of the data generated by these models. Two important microbial dynamic responses, postantibiotic effect and resistance selection, must be further explored before the full impact of pharmacokinetics on antimicrobial chemotherapy can be depicted. The present paper aims at discussing all the relevant factors and provides some pertinent information on the use of pharmacokinetic-pharmacodynamic principles in antimicrobial therapy.

Optimizing aminoglycoside therapy for nosocomial pneumonia caused by gram-negative bacteria

Nosocomial pneumonia is a notable cause of morbidity and mortality and leads to increases in lengths of hospital stays and institutional expenditures. Aminoglycosides are used to treat patients with these infections, but few data on the doses and schedules required to achieve optimal therapeutic outcomes exist. We analyzed aminoglycoside treatment data for 78 patients with nosocomial pneumonia to determine if optimization of aminoglycoside pharmacodynamic parameters results in a more rapid therapeutic response (defined by outcome and days to leukocyte count resolution and temperature resolution). Cox proportional hazards, Classification and Regression Tree (CART), and logistic regression analyses were applied to the data. By all analyses, the first measured maximum concentration of drug in serum (Cmax)/MIC predicted days to temperature resolution and the second measured Cmax/MIC predicted days to leukocyte count resolution. For days to temperature resolution and leukocyte count resolution, CART analyses produced breakpoints, with an 89% success rate at 7 days of therapy for a Cmax/MIC of > 4.7 and an 86% success rate at 7 days of therapy for a Cmax/MIC of > 4.5, respectively. Logistic regression analyses predicted a 90% probability of temperature resolution and leukocyte count resolution by day 7 if a Cmax/MIC of > or = 10 is achieved within the first 48 h of aminoglycoside therapy. Aggressive aminoglycoside dosing immediately followed by individualized pharmacokinetic monitoring would ensure that Cmax/MIC targets are achieved early in therapy. This would increase the probability of a rapid therapeutic response for pneumonia caused by gram-negative bacteria and potentially decreasing durations of parenteral antibiotic therapy, lengths of hospitalization, and institutional expenditures, a situation in which both the patient and the institution benefit.

Pharmacodynamic interactions of ciprofloxacin, piperacillin, and piperacillin/tazobactam in healthy volunteers

Mathematical modeling methods were used to study pharmacokinetic and pharmacodynamic interactions of the antimicrobial combinations piperacillin plus ciprofloxacin and piperacillin plus tazobactam. Twelve healthy volunteers received the following treatments: piperacillin (4 g), ciprofloxacin (400 mg), piperacillin (4 g) plus ciprofloxacin (400 mg), and piperacillin (4 g) plus tazobactam (0.5 g), via intravenous infusion in a four-period crossover design. Serum drug concentrations were analyzed by means of high-performance liquid chromatography (HPLC), and inhibitory titers were performed against eight organisms. The pharmacodynamic response (growth or no growth) was modeled for each of the monotherapy courses using a Hill-type model where Emax was 1 (100% probability of no growth [P(NG)]), and EC50 was the concentration associated with a 50% P(NG). For piperacillin plus ciprofloxacin, P(NG) was a function of 1) plasma concentrations for both drugs; 2) EC50 values from the monotherapy courses; and 3) theta, an interaction term that accommodates synergy, additivity, or antagonism. For piperacillin/tazobactam, the serum ultrafiltrate area under the inhibitory curve was compared with that of piperacillin alone to determine the benefit of tazobactam. The interaction between piperacillin and ciprofloxacin was additive. The addition of tazobactam to piperacillin was beneficial against certain organisms. The model developed can be used to evaluate the activity of combination regimens against representative pathogens.

Application of logistic growth model to pharmacodynamic analysis of in vitro bactericidal kinetics

A new pharmacodynamic model for the analysis of in vitro bactericidal kinetics was developed based on the logistic growth model, with the bacterial phases divided into two compartments. The model equations are expressed as nonlinear simultaneous differential equations, and the Runge-Kutta-Gill method was adopted to numerically solve the equations in both the simulation and the least squares curve-fitting procedures. The model can describe the initial killing and the regrowth phases and can explain the nonlinear dependence of the killing rate on the drug concentration. The model can also explain the plateau in the bacterial growth curve that is often observed in in vitro experiments. The model was applied to analysis of the in vitro time-killing data of beta-lactam antibiotics, S-4661, meropenem, imipenem, cefpirome, and ceftazidim against three types of bacteria, Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus. The results of curve-fitting using the least squares program MULTI (Runge) showed good fits for all types of drugs and bacteria. The relationship between the characteristics of the drug-bacteria interactions and the estimated pharmacodynamic parameters is discussed.

Pharmacokinetic profiles of high-dose intravenous ciprofloxacin in severe sepsis. The Baragwanath Ciprofloxacin Study Group

The pharmacokinetics of 400 mg of ciprofloxacin given intravenously (i.v.) every 8 h (q8h) in severely septic adults was documented in a multidisciplinary, tertiary referral intensive care unit (ICU). Sixteen evaluable patients (three pharmacokinetic profiles) without renal dysfunction and with severe sepsis were studied. Ciprofloxacin at a dosage of 400 mg given i.v. q8h was administered over 1 h. Plasma samples for assay (high-pressure liquid chromatography) were taken at timed intervals (preinfusion, at the end of infusion, and at 1, 2, 3, 5, and 7 h postinfusion) for first-dose kinetics (day 0 [D0]), D2, and between D6 and D8. All pharmacokinetic variables were calculated by noncompartmental methods. Standard intensive care was provided. Peak ciprofloxacin concentrations were as follows: D0, 6. 01 +/- 1.93 mg/liter; D2, 6.68 +/- 2.01 mg/liter; and D6 to D8 6.45 +/- 1.54 mg/liter. Trough levels were as follows: D0, 0.6 +/- 0.5 mg/liter; D2, 0.7 +/- 0.4 mg/liter; and D6 to D8 0.6 +/- 0.4 mg/liter. The areas under the concentration curves (8 h) were as follows: D0, 13.3 +/- 3.8 mg . h/liter; D2, 16.8 +/- 5.4 mg . h/liter; and D6 to D8, 15.5 +/- 4.7 mg . h/liter. No drug-related serious adverse events occurred. For 17 of 18 patients enrolled in the study, the causative organisms were susceptible to ciprofloxacin. One patient developed renal failure (non-drug related) after the administration of three doses of ciprofloxacin. One patient was infected with ciprofloxacin-resistant organisms on enrollment. Nine of 16 evaluable patients had clinical cures, and 8 had bacteriological cures. One patient developed a ciprofloxacin-resistant superinfection. In two patients the clinical course was indeterminate. Two bacteriological failures occurred. We conclude that in critically ill adults ciprofloxacin at a dosage of 400 mg given i.v. q8h is safe. Its pharmacokinetic profile provides bactericidal activity against most organisms encountered in an ICU. Except for some initial accumulation on D2, no further accumulation occurred in patients without renal failure. Ciprofloxacin should be administered i.v. at a dosage of 400 mg q8h for severe sepsis.

Sequential antimicrobial therapy: pharmacokinetic and pharmacodynamic considerations in sequential therapy

The pharmacodynamic factors important in sequential therapy are largely unknown. This is because most pharmacodynamic investigations concentrate on how bacterial populations respond to first antimicrobial exposures. However, it is likely that for B lactams T>MIC and for quinolones the antimicrobial AUC/MIC ratio will be important. Factors which reduce antimicrobial absorption will impact on these parameters and require further study.

Pharmacodynamic evaluation of factors associated with the development of bacterial resistance in acutely ill patients during therapy

The selection of bacterial resistance was examined in relationship to antibiotic pharmacokinetics (PK) and organism MICs in the patients from four nosocomial lower respiratory tract infection clinical trials. The evaluable database included 107 acutely ill patients, 128 pathogens, and five antimicrobial regimens. Antimicrobial pharmacokinetics were characterized by using serum concentrations, and culture and sensitivity tests were performed daily on tracheal aspirates to examine resistance. Pharmacodynamic (PD) models were developed to identify factors associated with the probability of developing bacterial resistance. Overall, in 32 of 128 (25%) initially susceptible cases resistance developed during therapy. An initial univariate screen and a classification and regression tree analysis identified the ratio of the area under the concentration-time curve from 0 to 24 h to the MIC (AUC[0-24]/MIC) as a significant predictor of the development of resistance (P < 0.001). The final PK/PD model, a variant of the Hill equation, demonstrated that the probability of developing resistance during therapy increased significantly when antimicrobial exposure was at an AUC[0-24]/MIC ratio of less than 100. This relationship was observed across all treatments and within all organism groupings, with the exception of beta-lactamase-producing gram-negative organisms (consistent with type I beta-lactamase producers) treated with beta-lactam monotherapy. Combination therapy resulted in much lower rates of resistance than monotherapy, probably because all of the combination regimens examined had an AUC[0-24]/MIC ratio in excess of 100. In summary, the selection of antimicrobial resistance appears to be strongly associated with suboptimal antimicrobial exposure, defined as an AUC[0-24]MIC ratio of less than 100.

Pharmacokinetics of drugs used in critically ill adults

Critically ill patients exhibit a range of organ dysfunctions and often require treatment with a variety of drugs including sedatives, analgesics, neuromuscular blockers, antimicrobials, inotropes and gastric acid suppressants. Understanding how organ dysfunction can alter the pharmacokinetics of drugs is a vital aspect of therapy in this patient group. Many drugs will need to be given intravenously because of gastrointestinal failure. For those occasions on which the oral route is possible, bioavailability may be altered by hypomotility, changes in gastrointestinal pH and enteral feeding. Hepatic and renal dysfunction are the primary determinants of drug clearance, and hence of steady-state drug concentrations, and of efficacy and toxicity in the individual patient. Oxidative metabolism is the main clearance mechanism for many drugs and there is increasing recognition of the importance of decreased activity of the hepatic cytochrome P450 system in critically ill patients. Renal failure is equally important with both filtration and secretion clearance mechanisms being required for the removal of parent drugs and their active metabolites. Changes in the steady-state volume of distribution are often secondary to renal failure and may lower the effective drug concentrations in the body. Failure of the central nervous system, muscle, the endothelial system and endocrine system may also affect the pharmacokinetics of specific drugs. Time-dependency of alterations in pharmacokinetic parameters is well documented for some drugs. Understanding the underlying pathophysiology in the critically ill and applying pharmacokinetic principles in selection of drug and dose regimen is, therefore, crucial to optimising the pharmacodynamic response and outcome.

Modeling the response of pneumonia to antimicrobial therapy

The response to antimicrobial therapy in patients with pneumonia was assessed by using a previously developed pneumonia scoring system. Patients from two different clinical trials were evaluated. The first group (n = 22) was treated with cefmenoxime. For these patients, doses were adjusted to achieve an area under the plasma concentration-versus-time curve (AUC) above the MIC of 140 microg x h/ml and pneumonia response scores were evaluated retrospectively. The second group (n = 21) were treated with either ciprofloxacin (CIP) or ceftazidime (TAZ) in a randomized clinical trial. Here, doses were adjusted to achieve AUC from 0 to 24 h/MIC values that were > 250 SIT(-1) x h (estimate of the area under the curve of inverse serum inhibitory titer versus time) and pneumonia response scoring was concurrent. In both studies eradication of the pathogen was determined by serial endotracheal cultures and clinical parameters were scored daily. A decrease in total score was indicative of an improving clinical condition. The percent change in clinical daily score was determined for each day of treatment. The rate of clinical response was determined by linear regression of the percent change in daily clinical score versus time during the course of antimicrobial therapy. Factors predictive of time to eradication were explored by interval analysis. Logistic regression was used to determine the earliest time point in therapy at which treatment scores predicted outcome. Kruskal-Wallis analysis of variance was used for statistical analysis, and significance was accepted at P < 0.05. There were no differences in baseline scores at day one for the patients treated with different antibiotics (P = 0.58). For patients with pathogen eradication, a significant difference between the two studies in time to eradication was found: 4.8 days for cefmenoxime-treated patients and 1.4 days for CIP- or TAZ-treated patients (P < 0.001). For patients experiencing bacterial eradication, the rates of clinical change for cefmenoxime and CIP or TAZ treatment were similar (P = 0.77). For patients with organisms that were not eradicated, the rates of change were similar (P = 0.14). There was a significant difference in the rate of change for patients experiencing eradication compared with that for patients in which the organism persisted (P << 0.01). Both treatment group and rate were found to be predictive of days to eradication. There was a significant difference in the percent change in clinical score on day 3 of therapy for patients with bacteria that were eradicated versus those with persistent organisms (P < 0.01). The percent change was more predictive of outcome with each subsequent day. Patients who demonstrated a > or = 10% reduction in clinical score after 72 h of treatment had an 88% probability of bacterial eradication. The clinical scoring system is a useful tool for modeling the response of pneumonia to antimicrobial therapy. The ability to predict outcome relatively early in therapy, by using a scoring system of clinical parameters which can be routinely monitored, will aid in assessing the response to antimicrobial therapy in clinical as well as in research settings.

Pharmacodynamic modeling of the in vivo interaction between cefotaxime and ofloxacin by using serum ultrafiltrate inhibitory titers

The pharmacokinetics (PK) and pharmacodynamics (PD) of cefotaxime and ofloxacin and of their combination were examined in a three-period randomized crossover study involving 12 healthy adults. The PK of cefotaxime and ofloxacin were modeled. PD was assessed from the predicted concentrations in serum and serum untrafiltrate inhibitory titers for 10 test organisms. An inhibitory sigmoid Emax model based on the probability of bacterial growth was used, where Emax = 1 and EC50 is the concentration resulting in a 50% probability of growth. The total body clearance (CL(T)) and volume of distribution at steady state (V(SS)) for cefotaxime were 0.236 liters/kg/h and 0.207 liters/kg, respectively, for the monotherapy and 0.231 liters/kg/h and 0.208 liters/kg for the combination therapy. Ofloxacin exhibited PK parameters of 0.143 liters/kg/h for CL(T) and 1.20 liters/kg for V(SS) following the monotherapy and of 0.141 liters/kg/h for CL(T) and 1.16 liters/kg for V(SS) following combination therapy. For the combination therapy, an interaction term, theta, defined the type and relative extent of interaction. The range of observed theta values (-0.033 to 0.067) is consistent with an additive PD interaction according to standards similar to those used for the in vitro fractional inhibitory concentration index.

Pharmacodynamics of ceftazidime administered as continuous infusion or intermittent bolus alone and in combination with single daily-dose amikacin against Pseudomonas aeruginosa in an in vitro infection model

We compared the pharmacodynamics and killing activity of ceftazidime, administered by continuous infusion and intermittent bolus, against Pseudomonas aeruginosa ATCC 27853 and ceftazidime-resistant P. aeruginosa 27853CR with and without a single daily dose of amikacin in an in vitro infection model over a 48-h period. Resistance to ceftazidime was selected for by serial passage of P. aeruginosa onto agar containing increasing concentrations of ceftazidime. Human pharmacokinetics and dosages were simulated as follows: half-life, 2 h; intermittent-bolus ceftazidime, 2 g every 8 h (q8h) and q12h; continuous infusion, 2-g loading dose and maintenance infusions of 5, 10, and 20 micrograms/ml; amikacin, 15 mg/kg q24h. There was no significant difference in time to 99.9% killing between any of the monotherapy regimens or between any combination regimen against ceftazidime-susceptible P. aeruginosa. Continuous infusions of 10 and 20 micrograms/ml killed as effectively as an intermittent bolus of 2 g q12h and q8h, respectively. Continuous infusion of 20 micrograms/ml and an intermittent bolus of 2 g q8h were the only regimens which prevented organism regrowth at 48 h, while a continuous infusion of 5 micrograms/ml resulted in the most regrowth. All of the combination regimens exhibited a synergistic response, with rapid killing of ceftazidime-susceptible P. aeruginosa and no regrowth. Against ceftazidime-resistant P. aeruginosa, none of the ceftazidime monotherapy regimens achieved 99.9% killing. The combination regimens exhibited the same rapid killing of the resistant strain as occurred with the susceptible strain; however, regrowth occurred with all regimens. The combination regimens of continuous infusion of 20 micrograms/ml plus amikacin and intermittent bolus q8h or q12h plus amikacin continued to be synergistic. Overall, continuous infusion monotherapy with ceftazidime at concentrations 4 to 5 and 10 to 15 times the MIC was as effective as an intermittent bolus of 2 g q12h (10 to 15 times the MIC) and q8h (25 to 35 times the MIC), respectively, against ceftazidime-susceptible P. aeruginosa. Combination therapy with amikacin plus ceftazidime, either intermittently q8h or by continuous infusion of 20 micrograms/ml, appeared to be effective and exhibited synergism against ceftazidime-resistant P. aeruginosa.

Pharmacokinetic-based ticarcillin/clavulanic acid dose recommendations for infants and children

The pharmacokinetic characteristics of ticarcillin and clavulanic acid were determined after the first dose (n = 22) and again under steady-state conditions (n = 16) in a group of infants and children. Study subjects ranged in age from 1 month to 9.3 years; all but 3 study patients were 6 months of age or older. Each patient received 50 mg of ticarcillin and 1.7 mg of clavulanic acid (30:1 ratio) per kg of body weight given intravenously every 4 hours. Elimination half-life, steady-state volume of distribution, and body clearance averaged 1.1 hours, 0.22 L/kg, and 2.7 mL/min/kg, respectively, for ticarcillin, and 0.9 hours, 0.4 L/kg, and 6.2 mL/min/kg, respectively, for clavulanic acid. A total of 71% of the ticarcillin and 50% of the clavulanic acid dose were excreted unchanged in the urine over the 4-hour sampling period. Corresponding renal clearances averaged 2.1 and 3.2 mL/min/kg for ticarcillin and clavulanic acid, respectively. No differences were observed between first dose and steady-state evaluations in the pharmacokinetic behavior of either agent. In contrast, the pharmacokinetic behavior of clavulanic acid was significantly different from that observed for ticarcillin. These pharmacokinetic data combined with known in vitro susceptibilities of important clinical pathogens support a dose of 80 mg of ticarcillin and 2.7 mg/kg clavulanic acid per kg body weight given as a fixed dose combination every 8 hours for the treatment of most systemic infections that occur outside the central nervous system.

Role of pharmacokinetics and pharmacodynamics in the design of dosage schedules for 12-h cefotaxime alone and in combination with other antibiotics

Pharmacodynamic principles have provided important tools to evaluate and compare antimicrobial agents, and well as to guide dosing. For beta-lactams, time above the minimum inhibitory concentration (MIC) has surfaced as the most important factor. However, the area under the inhibitory serum concentration time-curve (AUIC) may be superior when appropriate dosing intervals are selected. Although the target time over the MIC is unclear in humans even when concentrations remain continuously above the MIC, a higher AUIC predicts better clinical outcome up to a maximum. This article provides a pharmacodynamic assessment of 1- and 2-g doses of cefotaxime every 12 h. AUIC24 values and published MIC values for common pathogens (grouped into four groups based on MIC90) were used to predict organisms suitable for treatment with every-12-h regimes. Cefotaxime was inadequate for group 4 organisms including: Pseudomonas aeruginosa, Acienetobacter sp., and Enterococcus sp. Organisms such as Enterobacter cloacae, Serratia marcescens, Staphylococcus aureus, and B. fragilis may be suboptimally treated with cefotaxime every 12 h. Cefotaxime in doses of 1-2 g every 12 h should be useful in patients with normal renal function infected with organisms having MICs < 0.5 microgram/ml. This regimen should obtain AUIC24 values > 125 and ensure adequate time above the MIC. In patients with impaired renal function, because of a longer half-life and higher area under the curve, pathogens with MIC values in the 0.5-2 micrograms/ml range may be treated with cefotaxime every 12 h while maintaining AUICs > 125. Data are also presented for cefotaxime 2 g every 8 h alone and in combination with ofloxacin.(ABSTRACT TRUNCATED AT 250 WORDS)