Modeling the response of pneumonia to antimicrobial therapy

Do high doses of quinolones decrease the emergence of antibacterial resistance? A systematic review of data from comparative clinical trials

OBJECTIVE

To evaluate whether the use of high doses of quinolones may reduce the development of antimicrobial resistance.

DATA SOURCES

Relevant studies were identified from PubMed and the Cochrane Central Register of Controlled Trials (until June 2006).

STUDY SELECTION AND DATA EXTRACTION

We performed a systematic review of the available data from comparative clinical studies reporting on the emergence of resistance when using different daily doses of quinolones.

DATA SYNTHESIS

Twelve studies reported comparative data regarding the emergence of antimicrobial resistance. Development of resistance occurred in patients of 5/12 studies included in the review, with no statistical difference between the compared arms.

CONCLUSIONS

Although data from laboratory studies are indicative of a benefit from using high daily doses of quinolones in order to minimize the emergence of antimicrobial resistance, the data from the reviewed trials are limited and can neither support nor reject this finding. However, it seems that if a true benefit exists this is rather small and regards mainly isolates with initially high minimum inhibitory concentrations. Further comparative clinical studies focusing on this issue are justified.

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.

Fluoroquinolone AUIC Break Points and the Link to Bacterial Killing Rates Part 2: Human Trials

OBJECTIVE

To review clinical trials with fluoroquinolones and the pharmacokinetic and pharmacodynamic parameters predictive of clinical and microbiologic outcomes and resistance. Data on fluoroquinolones are summarized and the premise that a single AUIC target >125 may be used for all fluoroquinolones against all target organisms is examined.

DATA SOURCES

Primary articles were identified by a MEDLINE search (1966-February 2002) and through secondary sources.

STUDY SELECTION AND DATA EXTRACTION

All of the articles identified from the data sources were evaluated and all information deemed relevant was included.

DATA SYNTHESIS

The fluoroquinolones exhibit concentration-dependent killing. This effect clearly depends upon concentrations achieved and outcomes depend upon endpoints established by individual investigators. With AUIC values <60, the actions of fluoroquinolones are essentially bacteriostatic; any observed bacterial killing is the combined effect of low concentrations in relation to minimum inhibitory concentration and the action of host factors such as neutrophils and macrophages. AUIC values >100 but <250 yield bacterial killing at a slow rate, but usually by day 7 of treatment. AUICs >250 produce rapid killing, and bacterial eradication occurs within 24 hours. Disagreements regarding target endpoints are the expected consequences of comparing microbial and clinical outcomes across animal models, in vitro experiments (Part 1), and humans when the endpoints are clearly not equivalent. Careful attention to time-related events such as speed of bacterial killing versus global endpoints such as bacteriologic cure allows optimal break points to be defined.

CONCLUSIONS

Evidence from human trials favors the use of AUIC values >250 for rapid bactericidal action, regardless of whether the organism is gram-negative or gram-positive.

How predictive is PK/PD for antibacterial agents?

The pharmacodynamic (PD) parameters most often used in studies of antibiotic effect include the following relationships between the antibiotic concentration curve in serum as a surrogate marker for the antibiotic concentration at the infection site, the peak/minimal inhibitory concentration (MIC) ratio, the area under the curve (AUC)/MIC ratio and the duration of time the concentration exceeds the MIC (T(>MIC)). The MIC plays an important role also as a PD marker, and its precision in this respect is discussed. The predictive role of T(>MIC) is important for drugs showing minimal concentration dependent effect such as the beta-lactam antibiotics, the macrolides and others. The time can be calculated as the chronological time measured or as the (cumulative) per cent of the dosing interval covered by the dose. Several clinical studies have confirmed this relationship. It can be deduced from experimental as well as clinical studies that there is a minimal effective time (MET), which needs to be covered by the antibiotic concentration at the site of infection in order to achieve cure. Dosing according to this MET will result in the least antibiotic needed for the shortest duration. In several cases a single dose will suffice to cover the MET. If this is not possible the antibiotic should be dosed in a way, that each dose will surpass the MIC for at least 40-50% of the dosing interval. For antibiotics with a clear concentration-dependent bacterial killing effect the most important pharmacokinetic/pharmacodynamic (PK/PD) index is the peak/MIC ratio (or the AUC/MIC ratio). This is the case for aminoglycosides and fluoroquinolones, and for both classes a peak/MIC ratio of at least 10 within the first 24 h of treatment has been shown to result in around 90% bacteriological as well as clinical cure. One consequence of clinical dosing has been the once-a-day (OD) dosing for aminoglycosides, which is the standard mode of therapy in many countries. Clinical studies in the field of antibacterial PD are still relatively scarce, and much information is needed to enable relevant dosing strategies for all types of antibiotics against all common infections and micro-organisms.

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.

New Fluoroquinolones: Real and Potential Roles

The second-generation fluoroquinolones have enjoyed successful clinical use for more than 10 years in many countries, and they have a valued and proven record of safety and efficacy. However, deficiencies with respect to gram-positive and anaerobic organisms limit the use of these agents in respiratory, intra-abdominal, and pelvic infections. New, third-generation agents with dramatically increased activity against gram-positive and anaerobic bacteria--notably, Streptococcus pneumoniae and Bacteroides fragilis--have shown high rates of efficacy in pneumonia, bronchitis, and surgical and gynecologic infections. Although most of these new drugs produce similar clinical results, adverse reaction profiles differ and may influence therapeutic choices.