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J J Schentag

Publications and source records attributed to J J Schentag.

At least 37 records · Page 2Linked to original sources
PubMed2000

Pharmacokinetics and metabolism of moxifloxacin.

Moxifloxacin is a recently developed fluoroquinolone antibiotic. It is rapidly absorbed following oral administration, reaching a mean peak drug plasma concentration (C(max)) of approximately 3.56 mg/l within 2 h after a 400 mg dose. The rate and extent of absorption are not significantly affected by food or elevated gastric pH. Moxifloxacin binds weakly to plasma proteins and penetrates well into most tissue and fluid compartments, with generally higher drug concentrations in tissue and fluid compartments than those observed in plasma. Moxifloxacin is metabolized to an N-sulfate conjugate and an acyl glucuronide in humans. The N-sulfate and the unchanged moxifloxacin are detected in plasma, urine and feces. The acyl-glucuronide is detected in plasma and urine, but not in feces. The plasma elimination half-life ranges from 8.2-15.1 h in healthy individuals. The urinary excretion of the unchanged drug accounts for 19-22% of the given dose. Neither renal nor hepatic impairment significantly affect the pharmacokinetics of moxifloxacin.

Journal Article↗
PubMed2000

Comparison of the fluoroquinolones based on pharmacokinetic and pharmacodynamic parameters.

Assessment of pharmacodynamic activity from standard in vitro minimum inhibitory concentrations (MICs) alone is insufficient to predict in vivo potency. Achievable serum and tissue concentrations as well as pharmacokinetic characteristics must be considered. When pharmacokinetic and pharmacodynamic values are combined, the area under the inhibitory curve (AUIC) and peak concentration:MIC ratio predict clinical cure for fluoroquinolones. Clinical data and animal models indicate that a peak:MIC of 10:1 and above and an AUIC of 125 and above are predictive of a clinical cure for this class of antimicrobials against gram-negative organisms. The values may be used to compare and contrast fluoroquinolones to determine which would be best for treating a specific microorganism. Pharmacodynamic data also can be used to design regimens that minimize the risk of suboptimal drug levels. Ensuring the optimal fluoroquinolone dosage based on pharmacodynamic principles would diminish the emergence of resistant organisms and prevent treatment failures.

Anti-Infective Agents↗
PubMed1999

Pharmacokinetic and pharmacodynamic surrogate markers: studies with fluoroquinolones in patients.

Several relevant studies of fluoroquinolones are reviewed, and the pneumonia model is used to predict clinical efficacy. In vitro pharmacokinetic and pharmacodynamic relationships help the clinician understand the pharmacologic effects of an antimicrobial agent. The clinical translation of in vitro determinants has proved challenging, however. Surrogate markers that define specific relationships between pharmacokinetic and pharmacodynamic characteristics of antimicrobials have been used to predict positive patient outcomes. Studies have shown that the ratio of the area under the serum concentration-time curve from 0 to 24 hours to the minimum inhibitory concentration, also known as the area under the inhibitory curve, is uniquely suited as a surrogate for identifying fluoroquinolone concentrations that correlate with clinical efficacy. In patients, appropriate dosage levels can be readily examined with the nosocomial pneumonia model. Modeling patient responses to infection has become a useful way of interpreting the clinical effects of fluoroquinolone therapy.

Animals↗
PubMed1999

Influence of fluoroquinolone purchasing patterns on antimicrobial expenditures and Pseudomonas aeruginosa susceptibility.

The influence of using ofloxacin in place of ciprofloxacin on hospital fluoroquinolone expenditures, total antimicrobial expenditures, and susceptibility of Pseudomonas aeruginosa to fluoroquinolones was studied. Hospitals with fluoroquinolone expenditures of at least $1 per occupied bed per year were administered annual surveys covering the years 1993 through 1996. The two most recent consecutive years of data were compared among hospitals that used ciprofloxacin as their primary fluoroquinolone during both years (group 1), hospitals whose ofloxacin purchases increased from accounting for < or =25% of total fluoroquinolone expenditures during year 1 to accounting for >25% during year 2 (group 2), and hospitals whose ofloxacin purchases accounted for at least 25% of total fluoroquinolone expenditures for both years (group 3). A total of 109 hospitals were included in the study. Most hospitals spent more on fluoroquinolones and total antimicrobials in year 2 than year 1. Group 3 hospitals had a significant increase in expenditures for fluoroquinolones and non-fluoroquinolone antipseudomonal antimicrobials. Group 2 hospitals did not realize antimicrobial cost savings and had higher rates of Pseudomonas aeruginosa resistance than hospitals that used ciprofloxacin. Whether a hospital changed its pattern of ciprofloxacin and ofloxacin purchasing was not significantly associated with expenditures for fluoroquinolones, nonfluoroquinolone antimicrobial agents, or all antimicrobials. Susceptibility of P. aeruginosa to ciprofloxacin was lower in hospitals with greater proportions of ofloxacin use. Individual hospital, ciprofloxacin expenditures, and study year were found to be predictive of P. aeruginosa susceptibility to ciprofloxacin among all pooled hospitals.

Anti-Infective Agents↗
PubMed1999

Markedly different rates and resistance profiles exhibited by seven commonly used and newer beta-lactams on the selection of resistant variants of Enterobacter cloacae.

Seven beta-lactam antibiotics (cefepime, cefoperazone, ceftazidime, ceftriaxone, cefamandole, imipenem and meropenem) were tested for their potential to select resistance in standard and clinical strains of Enterobacter cloacae (n = 9). The strains were subcultured daily with the test antibiotics at doubling concentrations starting at 0.125 x MIC. Development of resistance throughout the passages was detected by a disc diffusion test. Ceftazidime, ceftriaxone and cefamandole selected resistance at a faster rate than cefoperazone, cefepime and meropenem. Imipenem did not select resistance in the nine strains tested and was the only antibiotic that eradicated all the strains during selection. The resistance patterns of strains selected by meropenem, cefepime and the other cephalosporins were markedly different, although cross-resistance to the early generation cephalosporins was common. The resistance phenotypes of most strains remained stable upon serial passages in antibiotic-free medium. The findings of this study highlight the importance of the choice of antibiotic for therapy not only on the basis of its antibacterial activity, but also on its potential to select resistance to itself and other antibiotics.

Anti-Bacterial Agents↗
PubMed1999

Ciprofloxacin concentrations in lung tissue following a single 400 mg intravenous dose.

Intravenous ciprofloxacin is frequently prescribed for the treatment of infections due to nosocomially acquired gram-negative organisms, including those originating in the respiratory tract. In this study, the concentrations of ciprofloxacin in serum and lung tissue were determined by HPLC in patients undergoing lung surgery. A total of 22 patients scheduled for lung surgery received a single 400 mg i.v. dose of ciprofloxacin administered as a 1 h infusion. A specimen of healthy lung tissue was obtained from resected lung from 18 of the patients for analysis of ciprofloxacin concentration during the following time intervals after infusion (one sample/patient): 0-2, 2-4, 4-8 and 8-12 h. Corresponding mean serum and tissue concentrations were 2.37 mg/L and 3.84 mg/kg (0-2 h), 1.18 mg/L and 1.92 mg/kg (2-4 h), 0.69 mg/L and 1.77 mg/kg (4-8 h), and 0.13 mg/L and 0.67 mg/kg (8-12 h). Ciprofloxacin distributed rapidly to lung tissue, as seen by the high concentrations in the lung tissue as early as 2 h after infusion. Concentrations in lung tissue were generally higher than those in serum (tissue:serum ratios ranged from 1.7 to 7.1). The mean tissue concentrations found in this study remained above the MIC for most susceptible organisms.

Adult↗
PubMed1999

Antibiotic dosing issues in lower respiratory tract infection: population-derived area under inhibitory curve is predictive of efficacy.

Several lower respiratory tract infection (LRTI) trials have documented a correlation between clinical response and area under the inhibitory curve (24 h AUC/MIC; AUIC). The AUIC values in these studies were based on measured MICs and measured serum concentrations. This study evaluates AUIC estimates made using population pharmacokinetic parameters, and MICs from an automated microbiological susceptibility testing system. A computer database review over 2 years yielded 81 patients at Millard Fillmore Hospital with a culture-documented gram-negative LRTI who had been treated with piperacillin and an aminoglycoside, ceftazidime, ciprofloxacin or imipenem. Their AUIC values were estimated using renal function, drug dosages and MIC values. Outcome groups (clinical and microbiological cures and failures) were related to the AUIC values using Kruskal-Wallis ANOVA, linear regression and classification and regression tree (CART) analysis. A significant breakpoint for clinical cures was an AUIC value at least 72 SIT(-1) x 24 h (inverse serum inhibitory titre integrated over time). All antibiotics performed significantly better above this value than below it. Clinical cure was well described by a Hill-type equation. Within the piperacillin/aminoglycoside regimen, most of the activity came from the piperacillin, which had a higher overall AUIC value than the aminoglycoside. AUIC estimations based upon MIC values derived from the automated susceptibility testing method differed from NCCLS breakpoint data and from tube dilution derived values in this hospital by as much as three tube dilutions. These automated methods probably overestimated the MIC values of extremely susceptible organisms. The lack of precise MIC estimates in automated clinical microbiology methods impairs the use of AUIC to prospectively optimize microbiological outcome. Even ignoring this limitation and using the values as they are reported, the results of this analysis suggest that AUIC targets between 72 and 275 SIT(-1) x 24 h are useful in predicting clinical outcome.

Aged↗
PubMed1999

The effect of low-dose cimetidine (200 mg twice daily) on the pharmacokinetics of theophylline.

The potential for nonprescription cimetidine (200 mg twice daily) to affect the pharmacokinetics of sustained-release (SR) theophylline was assessed in 26 male subjects, 13 smokers and 13 nonsmokers. This was a concentration-controlled drug interaction study in which the subjects were administered a dose of SR theophylline every 12 hours to provide a mean steady-state concentration between 8 and 15 micrograms/ml. To determine individual theophylline dose, a test dose of aminophylline was administered, and baseline theophylline pharmacokinetics were determined. Subjects remained on SR theophylline for 23 days and were treated in the following sequence: run-in phase (4 days), treatment 1 (7 days), washout (5 days), and treatment 2 (7 days). During the treatment phases, subjects received cimetidine (200 mg at approximately 08:00 and 12:00) or placebo for 7 days in a randomized crossover fashion. Theophylline pharmacokinetics were determined on days 1, 4, and 7 of both treatment phases. A large day-to-day variability in the oral clearance of theophylline was evident for the theophylline-placebo treatment and the theophylline-cimetidine treatment. Nonprescription strength cimetidine resulted in a mean 5% decrease in theophylline oral clearance on day 1 and a mean 12% decrease on days 4 and 7 combined. There were no significant differences in the cimetidine-theophylline interaction between smokers and nonsmokers. Oral clearance during the nighttime dosing interval was 13% greater than the daytime oral clearance for nonsmokers and 22% greater for smokers, showing a greater circadian rhythm for smokers. In summary, nonprescription doses of cimetidine (400 mg/day) have the potential to produce small changes in theophylline concentrations during steady-state dosing with SR theophylline; however, this effect appears less than changes that occur as a consequence of theophylline's intrasubject variability.

Adult↗
PubMed1999

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.

Anti-Bacterial Agents↗
PubMed1999

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.

Animals↗
PubMed1998

Impact of angiotensin-converting enzyme inhibitor underdosing on rehospitalization rates in congestive heart failure.

In a retrospective, cohort design, clinical usage of digoxin, diuretic, and angiotensin-converting enzyme (ACE) inhibitor was assessed in all patients readmitted over a 36-month period for congestive heart failure (CHF) diagnostic-related group (DRG) 127. ACE inhibitor dose-response analysis used the discharge dose of ACE inhibitor, converted to enalapril-equivalent doses and adjusted for renal function. Principal end points were time-to-readmission and 90-day readmission rate. Of 314 total patients, digoxin was used in 72%, diuretic in 86%, and 67% received an ACE inhibitor. Only 22% of those on an ACE inhibitor received currently recommended doses of enalapril > or = 20 mg/day or equivalent, whereas 41% received enalapril < or = 5 mg/day. Time-to-readmission was increased by an ACE inhibitor (p = 0.002) but not digoxin or diuretic. An ACE inhibitor was the principal covariate of 90-day readmission rate (p <0.05). The readmission rate was not reduced with daily ACE inhibitor doses of < or = 5 mg enalapril, whereas daily doses of > or = 10 mg enalapril reduced 90-day readmission rates by 28% compared to those receiving diuretic or digoxin therapy (p <0.05). Using a dynamic model, the dose required to achieve 90% to 95% of the theoretical maximum ACE inhibitor effect exceeded 100 mg enalapril daily. Thus, CHF readmission rates are lower when daily ACE inhibitor doses exceed 5 mg enalapril or the equivalent daily, but are unaffected by digoxin or diuretic. Modeled maximum ACE inhibitor benefits require doses 8- to 10-fold higher than current usage patterns.

Aged↗
PubMed1998

In vitro evaluation of sparfloxacin activity and spectrum against 24,940 pathogens isolated in the United States and Canada, the final analysis.

Sparfloxacin, a recently marketed oral fluoroquinolone, was tested against 24,940 recent clinical strains isolated from blood stream and respiratory tract cultures at 187 hospitals in the USA and Canada. Sparfloxacin activity was compared with 5 to 13 antimicrobial agents using either Etest (AB BIODISK, Solna, Sweden) and a reference broth microdilution or a standardized disk diffusion method. When applying recommended MIC breakpoint criteria of sparfloxacin susceptibility (< or = 0.5 microgram/mL) for Streptococcus pneumoniae (4,410 strains) and other Streptococcus spp. (554 isolates), 93% and 88% were inhibited, respectively. Furthermore, at < or = 1 microgram/mL sparfloxacin susceptibility rates for streptococci increased to 98% overall and 99.3% for S. pneumoniae. In contrast, only 46% and 68% of pneumococci were susceptible to ciprofloxacin (MIC90, 3 micrograms/mL; susceptible at < or = 1 microgram/mL) and penicillin (MIC90, 1.5 microgram/mL; susceptible at < or = 0.06 microgram/mL), respectively. Differences between regions in the USA for rates of penicillin-resistant pneumococcal strains were observed (greatest resistances in southeast and midwest), but results indicate that the sparfloxacin potency was not adversely influenced (MIC90, 0.5 microgram/mL). Also pneumococcal isolates from the lower respiratory tract were more resistant to penicillin and other beta-lactams. Nearly all Haemophilus species and Moraxella catarrhalis strains, including those harboring beta-lactamases, were susceptible to tested fluoroquinolones (sparfloxacin, ciprofloxacin), amoxicillin/clavulanic acid, and newer oral cephalosporins. Sparfloxacin was very active against oxacillin-susceptible Staphylococcus aureus (MIC90, 0.12 microgram/mL; 96-97% susceptible), Klebsiella spp. (MIC90 0.12 microgram/mL), and other tested enteric bacilli (92-95% susceptible). Comparisons between the broth microdilution MIC and disk diffusion interpretive results demonstrated excellent intermethod susceptibility category agreement (> 95%) using current sparfloxacin breakpoints, but some compounds (cefpodoxime disk diffusion tests for S. aureus) may require modifications. These results demonstrate that new Gram-positive focused fluoroquinolones (sparfloxacin) possess an excellent in vitro activity and spectrum against pathogens that cause respiratory tract infections. This spectrum of activity includes strains resistant to other antimicrobial classes, including the oral cephalosporins, macrolides, amoxicillin/clavulanic acid, and earlier fluoroquinolones (ciprofloxacin, ofloxacin). Overall, sparfloxacin inhibited 89% to nearly 100% of the isolates (species variable) tested against those species against which it has Food and Drug Administration indications for clinical use.

Anti-Infective Agents↗
PubMed1998

Antimicrobial activity of quinupristin-dalfopristin (RP 59500, Synercid) tested against over 28,000 recent clinical isolates from 200 medical centers in the United States and Canada.

A total of 200 medical center laboratories in the USA and Canada contributed results of testing quinupristin-dalfopristin, a streptogramin combination (formerly RP 59500 or Synercid), against 28,029 Gram-positive cocci. Standardized tests [disk diffusion, broth microdilution, Etest (AB BIODISK, Solna, Sweden)] were utilized and validated by concurrent quality control tests. Remarkable agreement was obtained between test method results for characterizing the collection by the important emerging resistances: 1) oxacillin resistance among Staphylococcus aureus (41.0 to 43.7%); 2) vancomycin resistance among Enterococcus faecium (50.0 to 52.0%); and 3) the penicillin nonsusceptible rate for pneumococci (31.1% overall, with 10.6% at MICs of > or = 2 micrograms/mL). The quinupristin-dalfopristin MIC90 for oxacillin-susceptible and -resistant S. aureus was 0.5 microgram/mL and 1 microgram/mL, respectively. The quinupristin-dalfopristin MIC90 for vancomycin-resistant E. faecium was 1 microgram/mL, and only 0.2% of isolates were resistant. Other Enterococcus species were generally not susceptible to the streptogramin combination but were usually inhibited by ampicillin (86 to 97% susceptible; MIC50, 1.0 microgram/mL) or vancomycin (86 to 95%; MIC50, 1.0 microgram/mL). Among all tested enterococci, the rate of vancomycin resistance was 16.2%. The quinupristin-dalfopristin MIC90 (0.75 microgram/mL) for 4,626 tested Streptococcus pneumoniae strains was not influenced by the penicillin or macrolide susceptibility patterns. When five regions in the USA and Canada were analyzed for significant streptogramin and other antimicrobial spectrum differences, only the Farwest region had lower numbers of streptogramin-susceptible E. faecium. Canadian strains were generally more susceptible to all drugs except chloramphenicol and doxycycline when tested against E. faecalis (73% and 89% susceptible, respectively). The U.S. Southeast region had S. pneumoniae strains less susceptible to macrolides (73%) but had more susceptibility among E. faecium isolates tested against vancomycin and ampicillin. The Northeast region of the USA had the greatest rate of vancomycin resistance among enterococci. Strains retested by the monitor because of quinupristin-dalfopristin resistance (MICs, > or = 4 micrograms/mL) were generally not confirmed (2.2% validation), and only 0.2% of E. faecium isolates were identified as truly resistant. The most common errors were: 1) species misidentification (28.0%); 2) incorrect susceptibility results (65.6%); and 3) mixed cultures (4.3%) tested by participants. Overall, quinupristin-dalfopristin was consistently active (> or = 90% susceptible) against major Gram-positive pathogens in North America, regardless of resistance patterns to other drug classes and geographic location of their isolation.

Academic Medical Centers↗
PubMed1998

Pharmacodynamic interactions of antibiotics alone and in combination.

Clinical trials show that the area under the inhibitory curve (AUIC) is predictive of antibacterial killing rates in patients with nosocomial pneumonia and is useful for predicting clinical or microbiological outcomes and making dosage adjustments with beta-lactams, quinolones, aminoglycosides, and vancomycin. The AUIC values of two antibiotics are additive, and since antibiotics are often given in combination, determining the AUIC for antibiotic combinations could potentially predict the microbiological outcomes for patients given these combinations. To further address this question, mathematical modeling was used to study in vitro pharmacokinetic and pharmacodynamic interactions of the antimicrobials piperacillin and ciprofloxacin. These agents were also studied in vivo in healthy volunteers. Blood samples were obtained for analysis of serum drug concentrations, and serum inhibitory titers were determined against eight common bacterial pathogens, chosen to reflect the range of MIC values to ciprofloxacin and piperacillin. Additive AUIC relationships predictive of bacterial killing rates were typical in patients given these antibiotics in combination.

Anti-Bacterial Agents↗
PubMed1998

Genesis of methicillin-resistant Staphylococcus aureus (MRSA), how treatment of MRSA infections has selected for vancomycin-resistant Enterococcus faecium, and the importance of antibiotic management and infection control.

We extensively studied the epidemiology and time course of endemic methicillin-resistant Staphylococcus aureus (MRSA) in the Millard Fillmore Hospital, a 600-bed teaching hospital in Buffalo. The changeover from methicillin-susceptible S. aureus to MRSA begins on the first hospital day, when patients are given cefazolin as presurgical prophylaxis. Under selective antibiotic pressure, colonizing flora change within 24 to 48 hours. For patients remaining hospitalized, subsequent courses of third-generation cephalosporins further select and amplify the colonizing MRSA population. Therefore, managing antibiotic selective pressure might be essential. Other strategies include attention to dosing, so that serum concentrations of drug exceed the minimum inhibitory concentration, and antibiotic cycling. Although there are some promising new antibiotics on the horizon, it is necessary to deal with many resistance patterns by using the combined strategies of infection control and antibiotic management.

Anti-Bacterial Agents↗
PubMed1998

Pharmacokinetic and pharmacodynamic modelling of antibiotic therapy.

Despite the advances in pharmacokinetic and pharmacodynamic modelling, there is still much more to gain from this concept. The use of pharmacokinetic and pharmacodynamic modelling in vitro, in animal and in human models has confirmed that an index, such as peak concentration divided by the minimum inhibitory concentration (Cmax/MIC), the area under the curve divided by the minimum inhibitory concentration (AUC/MIC) and time above the minimum inhibitory concentration (T>MIC), may be used as an aid to understanding better the variability between patients who receive similar antibiotic dosage regimens but have dissimilar outcomes. Efforts to find the optimal pharmacokinetic or pharmacodynamic index predictive of response is crucial to identify targets that will ensure efficacy and for the prediction of failure.

Journal Article↗