scholarly journals Pharmacodynamics of Moxifloxacin against Anaerobes Studied in an In Vitro Pharmacokinetic Model

2005 ◽  
Vol 49 (10) ◽  
pp. 4234-4239 ◽  
Author(s):  
Alan R. Noel ◽  
Karen E. Bowker ◽  
Alasdair P. MacGowan
Keyword(s):  
Pharmacokinetic Model ◽  
Antibacterial Effect ◽  
Maximum Effect ◽  
Wild Type ◽  
Time Curve ◽  
Concentration Time ◽  
Effect Measure ◽  
Dose Ranging ◽  
Emergence Of Resistance

ABSTRACT The antibacterial effects of moxifloxacin against Bacteroides fragilis, Clostridium perfringens, and gram-positive anaerobic cocci (GPAC) were studied in an in vitro pharmacokinetic model. Initially, a dose-ranging study with area under the concentration-time curve (AUC)/MIC ratios of 6.7 to 890 was used to investigate the effect of anaerobic conditions on the AUC/MIC antibacterial effect (ABE) relationship with Escherichia coli. The AUC/MIC ratios for 50% and 90% effects, using a log CFU drop at 24 h as the antibacterial effect measure, were 34 and 59, respectively, aerobic and 54 and 96, respectively, anaerobic. These values are not significantly different. Dose ranging at AUC/MIC ratios of 9 to 216 against the anaerobes indicated a differing AUC/MIC ABE pattern, and the AUC/MICs for 50% and 90% effects were lower: for B. fragilis, they were 10.5 and 25.7, respectively; for C. perfringens, they were 8.6 and 16.2; and for GPAC, they were 7.3 and 17.4. The maximum-effect log drops were as follows: for B. fragilis, −3.2 ± 0.2 logs; for C. perfringens, −3.7 ± 0.1 logs; and for GPAC, −2.5 ± 0.1 logs. Although the anaerobes were not eradicated, there was no emergence of resistance. Comparison of the ABE of moxifloxacin to that of ertapenem against B. fragilis indicated that moxifloxacin was superior at 24 h and 48 h. In contrast, ertapenem was superior to moxifloxacin against GPAC at 24 h and 48 h and against C. perfringens at 48 h. Both drugs performed equivalently against C. perfringens at 24 h. Monte Carlo simulations using human serum AUC data and an AUC/MIC anaerobe target of 7.5 suggests a >90% target achievement at MICs of <2 mg/liter. This divides the B. fragilis wild-type MIC distribution. The pharmacodynamic properties of moxifloxacin against anaerobes are different than those against aerobic species. The clinical implications of these differences need further exploration.

scholarly journals Development of a Population Pharmacokinetic Model for Parecoxib and Its Active Metabolite Valdecoxib after Parenteral Parecoxib Administration in Children

2012 ◽  
Vol 116 (5) ◽  
pp. 1124-1133 ◽  
Author(s):  
Bruce Hullett ◽  
Sam Salman ◽  
Sean J. O'Halloran ◽  
Deborah Peirce ◽  
Kylie Davies ◽  
...  
Keyword(s):  
Active Metabolite ◽  
Pharmacokinetic Model ◽  
Inhibitory Concentration ◽  
Prediction Interval ◽  
Cyclooxygenase 2 ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
Time Curve ◽  
Concentration Time

Background Parecoxib is a cyclooxygenase-2 selective inhibitor used in management of postoperative pain in adults. This study aimed to provide pediatric pharmacokinetic information for parecoxib and its active metabolite valdecoxib. Methods Thirty-eight children undergoing surgery received parecoxib (1 mg/kg IV to a maximum of 40 mg) at induction of anesthesia, and plasma samples were collected for drug measurement. Population pharmacokinetic parameters were estimated using nonlinear mixed effects modeling. Area under the valdecoxib concentration-time curve and time above cyclooxygenase-2 in vitro 50% inhibitory concentration for free valdecoxib were simulated. Results A three-compartment model best represented parecoxib disposition, whereas one compartment was adequate for valdecoxib. Age was linearly correlated with parecoxib clearance (5.0% increase/yr). There was a sigmoid relationship between age and both valdecoxib clearance and distribution volume. Time to 50% maturation was 87 weeks postmenstrual age for both. In simulations using allometric-based doses the 90% prediction interval of valdecoxib concentration-time curve in children 2-12.7 yr included the mean for adults given 40 mg parecoxib IV. Simulated free valdecoxib plasma concentration remained above the in vitro 50% inhibitory concentrations for more than 12 h. In children younger than 2 yr, a dose reduction is likely required due to ongoing metabolic maturation. Conclusions The final pharmacokinetic model gave a robust representation of parecoxib and valdecoxib disposition. Area under the valdecoxib concentration-time curve was similar to that in adults (40 mg), and simulated free valdecoxib concentration was above the cyclooxygenase-2 in vitro 50% inhibitory concentration for free valdecoxib for at least 12 h.

scholarly journals Pharmacodynamics of Isavuconazole in a DynamicIn VitroModel of Invasive Pulmonary Aspergillosis

2015 ◽  
Vol 60 (1) ◽  
pp. 278-287 ◽  
Author(s):  
Helen Box ◽  
Joanne Livermore ◽  
Adam Johnson ◽  
Laura McEntee ◽  
Timothy W. Felton ◽  
...  
Keyword(s):  
Invasive Pulmonary Aspergillosis ◽  
Pathogenic Fungi ◽  
Time Profile ◽  
Wild Type ◽  
Time Curve ◽  
Content Type ◽  
Concentration Time ◽  
Target Values ◽  
Maximal Suppression

ABSTRACTIsavuconazonium sulfate is a novel triazole prodrug that has been recently approved for the treatment of invasive aspergillosis by the FDA. The active moiety (isavuconazole) has a broad spectrum of activity against many pathogenic fungi. This study utilized a dynamicin vitromodel of the human alveolus to describe the pharmacodynamics of isavuconazole against two wild-type and two previously defined azole-resistant isolates ofAspergillus fumigatus. A human-like concentration-time profile for isavuconazole was generated. MICs were determined using CLSI and EUCAST methodologies. Galactomannan was used as a measure of fungal burden. Target values for the area under the concentration-time curve (AUC)/MIC were calculated using a population pharmacokinetics-pharmacodynamics (PK-PD) mathematical model. Isolates with higher MICs required higher AUCs in order to achieve maximal suppression of galactomannan. The AUC/MIC targets necessary to achieve 90% probability of galactomannan suppression of <1 were 11.40 and 11.20 for EUCAST and CLSI, respectively.

scholarly journals Comparative Efficacies of Tedizolid Phosphate, Vancomycin, and Daptomycin in a Rabbit Model of Methicillin-Resistant Staphylococcus aureus Endocarditis

2015 ◽  
Vol 59 (6) ◽  
pp. 3252-3256 ◽  
Author(s):  
Liana C. Chan ◽  
Li Basuino ◽  
Etyene C. Dip ◽  
Henry F. Chambers
Keyword(s):  
Staphylococcus Aureus ◽  
Rabbit Model ◽  
Time Curve ◽  
Methicillin Resistant ◽  
Content Type ◽  
Treatment Groups ◽  
Concentration Time ◽  
Dose Ranging

ABSTRACTTedizolid, the active component of the prodrug tedizolid phosphate, is a novel oxazolidinone that is approximately 4 times more active by weight than linezolid againstStaphylococcus aureusin vitro. Thein vivoefficacy of tedizolid phosphate (15 mg/kg body weight intravenous [i.v.] twice a day [b.i.d.]) was compared to those of vancomycin (30 mg/kg i.v. b.i.d.) and daptomycin (18 mg/kg i.v. once a day [q.d.]) in a rabbit model of aortic valve endocarditis (AVE) caused by methicillin-resistantS. aureusstrain COL (infection inoculum of 107CFU). Median vegetation titers of daptomycin-treated rabbits were significantly lower than those of rabbits treated with tedizolid phosphate (15 mg/kg b.i.d.) (P= 0.016), whereas titers for vancomycin-treated compared to tedizolid-treated rabbits were not different (P= 0.984). The numbers of organisms in spleen and kidney tissues were similar for all treatment groups. A dose-ranging experiment was performed with tedizolid phosphate (2, 4, and 8 mg/kg b.i.d.) compared to vancomycin (30 mg/kg b.i.d.), using a higher infecting inoculum (108CFU) to determine the lowest efficacious dose of tedizolid phosphate. Tedizolid phosphate (2 mg/kg) (equivalent to 60% of the area under the concentration-time curve from 0 to 24 h (AUC0–24) for the human 200-mg dose approved by the U.S. Food and Drug Administration) was not efficacious. Tedizolid phosphate at 4 mg/kg (equivalent to 75% of the AUC0–24for the human 400-mg dose) and 8 mg/kg produced lower vegetation titers than the control, but neither was as efficacious as vancomycin.

scholarly journals Isoniazid Bactericidal Activity and Resistance Emergence: Integrating Pharmacodynamics and Pharmacogenomics To Predict Efficacy in Different Ethnic Populations

2007 ◽  
Vol 51 (7) ◽  
pp. 2329-2336 ◽  
Author(s):  
Tawanda Gumbo ◽  
Arnold Louie ◽  
Weiguo Liu ◽  
David Brown ◽  
Paul G. Ambrose ◽  
...  
Keyword(s):  
Bactericidal Activity ◽  
Standard Dose ◽  
Nucleotide Polymorphisms ◽  
Time Curve ◽  
Mutant Selection ◽  
Concentration Time ◽  
Antituberculosis Therapy ◽  
Selection Window ◽  
Emergence Of Resistance

ABSTRACT Isoniazid, administered as part of combination antituberculosis therapy, is responsible for most of the early bactericidal activity (EBA) of the regimen. However, the emergence of Mycobacterium tuberculosis resistance to isoniazid is a major problem. We examined the relationship between isoniazid exposure and M. tuberculosis microbial kill, as well as the emergence of resistance, in our in vitro pharmacodynamic model of tuberculosis. Since single-nucleotide polymorphisms of the N-acetyltransferase-2 gene lead to two different clearances of isoniazid from serum in patients, we simulated the isoniazid concentration-time profiles encountered in both slow and fast acetylators. Both microbial kill and the emergence of resistance during monotherapy were associated with the ratio of the area under the isoniazid concentration-time curve from 0 to 24 h (AUC0-24) to the isoniazid MIC. The time in mutant selection window hypothesis was rejected. Next, we utilized the in vitro relationship between the isoniazid AUC0-24/MIC ratio and microbial kill, the distributions of isoniazid clearance in populations with different percentages of slow and fast acetylators, and the distribution of isoniazid MICs for isonazid-susceptible M. tuberculosis clinical isolates in Monte Carlo simulations to calculate the EBA expected for ∼10,000 patients treated with 300 mg of isoniazid. For those patient populations in which the proportion of fast acetylators and the isoniazid MICs were high, the average EBA of the standard dose was ∼0.3 log10 CFU/ml/day and was thus suboptimal. Our approach, which utilizes preclinical pharmacodynamics and the genetically determined multimodal distributions of serum clearances, is a preclinical tool that may be able to predict the EBAs of various doses of new antituberculosis drugs.

scholarly journals Mechanism of Fluoroquinolone Resistance Is an Important Factor in Determining the Antimicrobial Effect of Gemifloxacin against Streptococcus pneumoniae in an In Vitro Pharmacokinetic Model

2003 ◽  
Vol 47 (3) ◽  
pp. 1096-1100 ◽  
Author(s):  
Alasdair P. MacGowan ◽  
Karen E. Bowker
Keyword(s):  
Streptococcus Pneumoniae ◽  
Pharmacokinetic Model ◽  
Drug Exposure ◽  
Antibacterial Effect ◽  
Population Analysis ◽  
Antimicrobial Effect ◽  
Fluoroquinolone Resistance ◽  
Mechanism Of Resistance ◽  
Emergence Of Resistance

ABSTRACT Antibacterial effect and emergence of resistance to gemifloxacin and levofloxacin were studied in an in vitro pharmacokinetic model of infection. A panel of Streptococcus pneumoniae strains with known mechanisms of resistance were used; two strains had no known resistance mechanism, two had efflux pumps, three had gyrA plus parC mutations, and one had only a parC mutation. Gemifloxacin MICs were in the range of 0.016 to 0.25 mg/liter, and levofloxacin MICs ranged from 1 to 16 mg/liter. Antimicrobial effect was measured by area under the bacterial-kill curve up to 72 h, and emergence of resistance was determined by population analysis profile before and during drug exposure. The area under the curve (AUC)/MIC ratios for gemifloxacin and levofloxacin were 35 to 544 and 3 to 48, respectively. As expected on the basis of these AUC/MIC ratio differences, antibacterial effect was much greater for gemifloxacin than levofloxacin. In the gemifloxacin simulations, mechanism of resistance as well as MIC determined the antibacterial effect, as indicated by gemifloxacin’s greater effect against efflux strains compared to those with gyrA or parC mutations despite similar MICs. This was not true of levofloxacin. Emergence of resistance was not easily demonstrated with either agent, and mechanism of resistance did not have any impact on it.

scholarly journals Antibacterial Effects of Amoxicillin-Clavulanate against Streptococcus pneumoniae and Haemophilus influenzae Strains for Which MICs Are High, in an In Vitro Pharmacokinetic Model

2004 ◽  
Vol 48 (7) ◽  
pp. 2599-2603 ◽  
Author(s):  
Alasdair P. MacGowan ◽  
Alan R. Noel ◽  
Chris A. Rogers ◽  
Karen E. Bowker
Keyword(s):  
Streptococcus Pneumoniae ◽  
Haemophilus Influenzae ◽  
Pharmacokinetic Model ◽  
Antibacterial Effect ◽  
Viable Count ◽  
Maximum Response ◽  
Maximum Effect ◽  
Maximal Response ◽  
Amoxicillin Clavulanate

ABSTRACT The antibacterial effect of amoxicillin-clavulanate in two formulations, pharmacokinetically enhanced 16:1 amoxicillin-clavulanate twice a day (b.i.d.) and standard 7:1 amoxicillin-clavulanate b.i.d., were studied in an in vitro pharmacokinetic model of infection. Five strains of Streptococcus pneumoniae and two of Haemophilus influenzae, all associated with raised MICs (2 to 8 mg/liter), were used. The antibacterial effect was measured over 24 h by the area under the bacterial kill curve (AUBKC) and the log change in viable count at 24 h (Δ24). A high 108 CFU/ml and low 106 CFU/ml initial inocula were used. Employing the Δ24 effect measure, the time above MIC (T>MIC) 50% maximum effect (EC50) for S. pneumoniae was in the range 21 to 28% with an 80% maximal response of 41 to 51%, for the AUBKC measure, the value was 26 to 39%, irrespective of inoculum. For H. influenzae, the T>MIC EC50 was 28 to 37%, and the 80% maximum response was 32 to 48% for the Δ24 measure and 20 to 48% for AUBKC. The maximum response occurred at a T>MIC of 50 to 60% for both species and inocula. The S. pneumoniae data were analyzed by analysis of variance to assess the effect of inoculum, formulation, and MIC on antibacterial effect. Standard and enhanced formulations had different effects depending on MIC, with the standard formulation less effective at higher amoxicillin-clavulanate MICs. This is explained by the greater T>MICs of the enhanced formulation. Although resistant to amoxicillin-clavulanate by conventional breakpoints, S. pneumoniae and H. influenzae strains for which MICs are 2 or 4 mg/liter may well respond to therapy with pharmacokinetically enhanced formulation amoxicillin-clavulanate.

scholarly journals Fluoroquinolone Resistance in Streptococcus pneumoniae: Area Under the Concentration-Time Curve/MIC Ratio and Resistance Development with Gatifloxacin, Gemifloxacin, Levofloxacin, and Moxifloxacin

2007 ◽  
Vol 51 (4) ◽  
pp. 1315-1320 ◽  
Author(s):  
Kerry L. LaPlante ◽  
Michael J. Rybak ◽  
Brian Tsuji ◽  
Thomas P. Lodise ◽  
Glenn W. Kaatz
Keyword(s):  
Streptococcus Pneumoniae ◽  
Sequence Analysis ◽  
Fluoroquinolone Resistance ◽  
Second Step ◽  
Wild Type ◽  
Time Curve ◽  
Resistance Development ◽  
Concentration Time ◽  
Structural Differences

ABSTRACT The potential for resistance development in Streptococcus pneumoniae secondary to exposure to gatifloxacin, gemifloxacin, levofloxacin, and moxifloxacin at various levels was examined at high inoculum (108.5 to 109 log10 CFU/ml) over 96 h in an in vitro pharmacodynamic (PD) model using two fluoroquinolone-susceptible isolates. The pharmacokinetics of each drug was simulated to provide a range of free areas under the concentration-time curves (fAUC) that correlated with various fluoroquinolone doses. Potential first (parC and parE)- and second-step (gyrA and gyrB) mutations in isolates with raised MICs were identified by sequence analysis. PD models simulating fAUC/MICs of 51 and ≤60, 34 and 37, ≤82 and ≤86, and ≤24 for gatifloxacin, gemifloxacin, levofloxacin, and moxifloxacin, respectively, against each isolate were associated with first-step parC (S52G, S79Y, and N91D) and second-step gyrA (S81Y and S114G) mutations. For each fluoroquinolone a delay of first- and second-step mutations was observed with increasingly higher fAUC/MIC ratios and recovery of topoisomerase mutations in S. pneumoniae was related to the fAUC/MIC exposure. Clinical doses of gatifloxacin, gemifloxacin, and moxifloxacin exceeded the fAUC/MIC resistance breakpoint against wild-type S. pneumoniae, whereas those of levofloxacin (500 and 750 mg) were associated with first- and second-step mutations. The exposure breakpoints for levofloxacin were significantly different (P < 0.001) from those of the newer fluoroquinolones gatifloxacin, gemifloxacin, and moxifloxacin. Additionally, moxifloxacin breakpoints were significantly lower (P < 0.002) than those of gatifloxacin. The order of resistance development determined from fAUC/MIC breakpoints was levofloxacin > gatifloxacin > moxifloxacin = gemifloxacin, which may be related to structural differences within the class.

Antibacterial effect of imipenem/relebactam on aerobic Gram-negative bacilli: in vitro simulations of 7 or 14 day human exposures

2019 ◽  
Vol 74 (7) ◽  
pp. 1945-1951 ◽  
Author(s):  
Alan R Noel ◽  
Karen E Bowker ◽  
Marie Attwood ◽  
Alasdair P MacGowan
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Pharmacokinetic Model ◽  
Antibacterial Effect ◽  
Bacterial Load ◽  
Bacterial Burden ◽  
Gram Negative ◽  
Highly Effective ◽  
Emergence Of Resistance

Abstract Objectives We assessed the antibacterial effect of human simulations of dosing with imipenem/relebactam (with or without amikacin) on Enterobacteriaceae or Pseudomonas aeruginosa over 7 or 14 day antibiotic exposures. Methods An in vitro pharmacokinetic model was used to assess changes in bacterial load and population profiles. Results Imipenem/relebactam produced an initial >4 log drop in viable counts followed by suppression for 7 days for Enterobacteriaceae whether the strain was WT, produced KPC enzymes or produced an AmpC enzyme with porin loss. Similarly, with the P. aeruginosa strains, there was an initial >4 log clearance over the first 24 h irrespective of whether the strain was WT, hyperexpressed AmpC or had OprD mutation with porin loss. However, with three of four strains there was modest regrowth over the 7 days. There were no changes in imipenem/relebactam MICs over the 7 days. Addition of amikacin in 7 day simulations resulted in more suppression of pseudomonal growth. In 14 day simulations with P. aeruginosa there was regrowth to 8 log10 by 14 days with imipenem/relebactam alone and associated increases in MICs. Addition of amikacin resulted in clearance from the model and prevented changes in population profiles. Conclusions Imipenem/relebactam was highly effective at reducing the bacterial load of Enterobacteriaceae and there was no emergence of resistance. Against P. aeruginosa, the initial bacterial burden was also rapidly reduced, but there was subsequent regrowth, especially after 7 days of exposure. Addition of amikacin increased the clearance of P. aeruginosa and prevented emergence of resistance.

scholarly journals Pharmacodynamics of the Antibacterial Effect and Emergence of Resistance to Tomopenem, Formerly RO4908463/CS-023, in an In Vitro Pharmacokinetic Model of Staphylococcus aureus Infection

2008 ◽  
Vol 52 (4) ◽  
pp. 1401-1406 ◽  
Author(s):  
Alasdair P. MacGowan ◽  
Karen E. Bowker ◽  
Alan R. Noel
Keyword(s):  
Staphylococcus Aureus ◽  
Pharmacokinetic Model ◽  
Drug Exposure ◽  
Population Analysis ◽  
Viable Count ◽  
Superior Effect ◽  
Dose Ranging ◽  
Kill Curve ◽  
Emergence Of Resistance

ABSTRACT The antibacterial effects (ABE) of tomopenem (formerly RO4908463/CS-023) against seven Staphylococcus aureus strains (methicillin-resistant S. aureus [MRSA] strain tomopenem MICs, 0.5 to 16 mg/liter; methicillin-sensitive S. aureus [MSSA] strain tomopenem MIC, 0.06 mg/liter) were studied in an in vitro pharmacokinetic model. Initially, two human doses were simulated, 750 mg every 8 hours (8hly) and 1,500 mg 8hly intravenously, using S. aureus at a standard inoculum of 106 CFU/ml. There was a rapid clearance of bacteria from the model by 12 h after drug exposure with most strains. Clearance was not related to the tomopenem MIC. The ABE of these two tomopenem dose regimens were also tested at a high inoculum, 108 CFU/ml; in all simulations, there was a >4-log drop in viable count at 24 h. Strains were not cleared from the model at 108 CFU/ml, in contrast to what was seen for the standard inoculum. When the ABE of tomopenem at 750 mg 8hly was compared to those of vancomycin, tomopenem was seen to have a superior effect, as measured by the area under the bacterial kill curve at 24 h (AUBKC24) and 48 h (P < 0.05). Dose ranging studies were performed to provide time-above-MIC (T>MIC) drug exposures of 0 to 100% (8 to 10 doses per strain) with five MRSA/MSSA strains. The T>MIC for a 24-h bacteriostatic effect was 8% ± 5% (range, 1.3% to 15.4%); the T>MIC for a 4-log drop in viable count was 32% ± 18% (range, 12.8% to 36.2%). The T>MIC for a 90% maximum response using AUBKC24 as ABE was 24.9% ± 15.7%. Inoculum had little impact on T>MIC exposures for ABE. There was emergence of resistance to tomopenem in the dose ranging studies, with increased growth of subpopulations on plates containing tomopenem at 2× and 4× the MIC compared to what was seen for preexposure population analysis at T>MICs of <20%. The pharmacodynamics of tomopenem against S. aureus is similar to those of other members of the carbapenem class, with the exception that MRSA is included. These data indicate that tomopenem will have clinically useful activity against MRSA at T>MICs achievable in humans.

scholarly journals Twenty-four-hour area under the concentration-time curve/MIC ratio as a generic predictor of fluoroquinolone antimicrobial effect by using three strains of Pseudomonas aeruginosa and an in vitro pharmacodynamic model.

1996 ◽  
Vol 40 (3) ◽  
pp. 627-632 ◽  
Author(s):  
K J Madaras-Kelly ◽  
B E Ostergaard ◽  
L B Hovde ◽  
J C Rotschafer
Keyword(s):  
Antibacterial Effect ◽  
Antimicrobial Effect ◽  
Time Curve ◽  
Emax Model ◽  
Concentration Time ◽  
Mueller Hinton ◽  
Kill Curve ◽  
Time Kill ◽  
Mueller Hinton Broth

Several investigators have suggested that the 24-h area under the concentration-time curve (AUC)/MIC ratio (AUC/MIC24 or AUIC24) can be used to make comparisons of antimicrobial activity between fluoroquinolone antibiotics. Limited data exist regarding the generic predictive ability of AUC/MIC24 for the antimicrobial effects of fluoroquinolones. The purposes of the present investigation were to determine if the AUC/MIC24 can be used as a generic outcome predictor of fluoroquinolone antibacterial activity and to determine if a similar AUC/MIC24 breakpoint can be established for different fluoroquinolones. Using an in vitro pharmacodynamic model, 29 duplicate concentration time-kill curve experiments simulated AUC/MIC24s ranging from 52 to 508 SIT-1.h (inverse serum inhibitory titer integrated over time) with ciprofloxacin or ofloxacin against three strains of Pseudomonas aeruginosa. Each 24-h experiment was performed in cation-supplemented Mueller-Hinton broth with a starting inoculum of 10(6) CFU/ml. At timed intervals cation-supplemented Mueller-Hinton broth samples were collected for CFU and fluoroquinolone concentration determinations. Transformation of bacterial counts into the cumulative bacterial effect parameter of the 24-h area under the effect curve (AUEC24) was performed for each concentration time-kill curve. Multivariate regression analysis was used to compare pharmacodynamic predictors (AUC/MIC24, 24-h AUC, peak concentration [Cmax] to MIC ratios [Cmax:MIC], etc.) with ln AUEC24. To identify threshold breakpoint AUC/MIC24s, AUEC24s were stratified by the magnitude of AUC/MIC24 into subgroups, which were analyzed for differences in antibacterial effect. The Kruskal-Wallis test and subsequent Tukey's multiple comparison test were used to determine which AUC/MIC subgroups were significantly different. Multiple regression analysis revealed that only AUC/MIC24 (r2 = 0.65) and MIC (r2 = 0.03) were significantly correlated with antibacterial effect. At similar AUC/MIC24s, yet different MICs, Cmaxs, or elimination half-lives, the AUEC24s were similar for both fluoroquinolones. The relationship between AUC/MIC24 and ln AUEC24 was best described by a sigmoidal maximal antimicrobial effect (Emax) model (r2 = 0.72; Emax = 9.1; AUC/MIC50 = 119 SIT-1.h; S = 2.01 [S is an exponent that reflects the degree of sigmoidicity]). Ciprofloxacin-bacteria AUC/MIC24 values of < 100 SIT-1.h were significantly different (P < 0.05) from the AUC/MIC24 values of > 100 SIT-1.h. An ofloxacin AUC/MIC24 of > 100 SIT-1.h and an AUC/MIC24 of < 100 SIT-1.h exhibited a trend toward a significant difference (P > 0.05 but < 0.1). The inverse relationship between drug exposure and MIC increase postexposure was described by a sigmoidal fixed Emax model (AUC/MIC24, r2 = 0.40; AUC/MIC50 = 95 SIT-1.h; S = 1.97; Cmax:MIC, r2 = 0.41; Cmax:MIC50 = 7.3; S = 2.01). These data suggest that AUC/MIC24 may be the most descriptive measurement of fluoroquinolone antimicrobial activity against P. aeruginosa, that ofloxacin and ciprofloxacin have similar AUC/MIC24 threshold breakpoints at approximately 100 SIT-1.h, that the concentration-dependent selection of resistant organisms may parallel the threshold breakpoint of the antimicrobial effect, and that AUC/MIC24 generically describes the antibacterial effects of different fluoroquinolones.

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