JAC Advance Access originally published online on August 2, 2006
Journal of Antimicrobial Chemotherapy 2006 58(4):822-829; doi:10.1093/jac/dkl328
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Once-daily tobramycin in cystic fibrosis: better for clinical outcome than thrice-daily tobramycin but more resistance development?


1 Department of Pulmonary Medicine, Medical School Hannover Hannover, Germany 2 Department of Pharmaceutics, College of Pharmacy, University of Florida Gainesville, USA
*Corresponding author. Tel: +49-511-532-3661; Fax: +49-511-532-3353; E-mail: burkhardt.olaf{at}mh-hannover.de
Received 10 November 2005; returned 11 May 2006; revised 5 July 2006; accepted 15 July 2006
| Abstract |
|---|
|
|
|---|
Objectives: Once-daily administration of aminoglycosides in cystic fibrosis (CF) patients is considered equally efficacious and potentially less nephrotoxic than dosing three times a day. However, the choice of the most suitable PK/PD index (Cmax/MIC versus AUC24/MIC) to ensure optimum clinical outcome in this patient population is not clear.
Patients and methods: In a single-centre, open, randomized, controlled, non-blinded study 33 adult CF patients (20 females, 1937 years) were treated with intravenous tobramycin (10 mg/kg/day) for 14 days given either as single dose once a day (Q24; 17 patients) or divided into three equal doses every 8 h (Q8; 16 patients). Tobramycin serum concentrations and MICs for Pseudomonas aeruginosa were determined on days 1 and 14. The clinical outcome parameter, correlated to PK/PD indices, was the percentage predicted forced expiratory volume in 1 s (FEV1% pred.).
Results: FEV1% pred. improved significantly for both treatments. There was a log-linear relationship between Cmax/MIC and FEV1% pred. and AUC/MIC and FEV1% pred. for both treatments. For equal values of AUC24/MIC, however, Q24 treatment provided better improvement in lung function than Q8 dosing, whereas Cmax/MIC did not show any dosing interval dependence. A statistically significant increase was observed for MIC (day 1) versus MIC (day 14) for Q24 treatment, however, no such difference was observed for Q8 treatment.
Conclusions: The most important PK/PD parameter for clinical outcome in CF patients was Cmax/MIC. Outcome prediction of AUC24/MIC was dependent on the regimen. The increase of P. aeruginosa resistance after once-daily administration is linked to a long dosing interval. More and larger studies are needed to optimize the dosing regimen for maximum clinical outcome with minimum resistance development.
Keywords: PK/PD , lung function , Pseudomonas aeruginosa
| Introduction |
|---|
|
|
|---|
Patients with chronic lung diseases such as cystic fibrosis (CF) are frequently colonized with multidrug-resistant bacteria such as Pseudomonas aeruginosa.1 The consequences are a chronic pulmonary infection and recurrent acute exacerbations caused by the bacterium. Accordingly, CF patients receive repeated and prolonged cycles of so-called Pseudomonas-effective antibiotics.2,3 Aminoglycosides are worldwide frequently used antibacterial drugs in the treatment of P. aeruginosa infections.4 They generate a higher rate and extent of bacterial killing with increasing concentrations, which is referred to as concentration-dependent activity.5,6 They also exhibit a significant post-antibiotic effect, which is characterized by an effect that persists for some time after the concentrations have fallen below the MIC of the bacteria.7 For aminoglycosides the ideal dosing regimen would maximize concentration of the antibiotic, namely the peak of plasma concentration (Cmax) and the exposure (AUC), because the higher the concentration, the more extensive and the faster is the degree of bacterial killing.5,6,8,9 Once-daily administration of the total daily dose has been proposed to best realize this concept.10 Clinical studies in patients without CF have demonstrated equal clinical efficacy and equal or better aminoglycoside tolerability after once-daily dosing compared with the traditional regimens, i.e. administration in two to three divided doses per day by intermittent infusion.1015 In CF patients the largest clinical study previously published confirms these results.16 Another possibility to evaluate clinical efficacy and to optimize dosing regimens of antibiotics are the so-called MIC-based PK/PD indices.7,17,18 Based on the two bacterial killing patterns (concentration-dependent and time-dependent killing) three different PK/PD indices have been developed to evaluate efficacy and to optimize dosing regimens of antibiotics, the time above the MIC (t > MIC), the peak of plasma concentration to MIC ratio (Cmax/MIC) and the area under the concentration during a 24 h interval versus time curve to MIC ratio (AUC24/MIC). For instance, AUC24/MIC has been used successfully to evaluate the efficacy of fluoroquinolones1922 and the efficacy of ß-lactam antibiotics is primarily related to t > MIC.7,18 On the other hand, for aminoglycosides the best predictive PK/PD parameter is much disputed. Early in vitro studies showed that Cmax/MIC is the most important PK/PD index explaining efficacy and in clinical trials it has been shown that the target is a Cmax/MIC ratio of at least 1012 in order to maximize clinical response.2326 However, in a retrospective study with unselected hospitalized patients higher AUC/MIC ratios correlated to a better clinical outcome.27 Only one study of the pharmacodynamics of tobramycin in a small population of 13 patients with CF exists.28 There, the results showed a clear relationship between all three known PK/PD indices and clinical efficacy, with the highest predictive value shown for AUC/MIC. However, only one dosing regimen was investigated and the interdependence of the PK/PD indices may prevent a differentiation. Therefore, the most suitable PK/PD index to ensure optimum clinical outcome in CF patients is still not clear. Another problem concerns the development or increase of P. aeruginosa resistance in chronically infected CF patients after repeated treatments with aminoglycosides. In previously published studies the emergence of resistant P. aeruginosa isolates before and after treatment was not evaluated. Apart from the comparison of the clinical efficacy, the main purpose of our study was to evaluate prospectively a possible correlation between the PK/PD parameters and clinical outcome of CF patients after once- versus thrice-daily tobramycin administration. In addition we investigated the microbiological changes in tobramycin susceptibility in both treatment arms.
| Patients and methods |
|---|
|
|
|---|
Patients
A total of 33 adult CF patients (20 females, 1937 years), in our institution regularly treated with intravenous tobramycin in combination with a ß-lactam antibiotic for chronic pulmonary infection with P. aeruginosa, were included in the trial. Patients were excluded if they had pre-existing renal insufficiency or hearing impairment (>20 dB hearing level at any two frequencies between 2 and 8 kHz on the standard audiogram). Patients were not enrolled if they had a history of allergies to aminoglycosides or ß-lactam antibiotics. Female patients were offered a pregnancy test before enrolment and excluded if test results were positive. Inhaled antibiotics such as tobramycin or colistin were maintained during the study period. The study was approved by the local Ethics Committee. All patients were given a detailed description of the study, and their written consent was obtained. The study was performed in accordance with the Declaration of Helsinki and the Good Clinical Practice Guideline of the European Commission.
Study design and treatment assignment
The study was a single-centre, open-label, randomized, controlled, non-blinded study. Patients were randomly assigned to receive 10 mg/kg tobramycin in 100 mL 0.9% physiological saline administered either once a day (Q24; 17 patients) or divided in three doses every 8 h (Q8; 16 patients) by 30 min infusion for 14 days. Because peak and trough concentrations of tobramycin were not outside of target range [trough level:
1 mg/L (Q24) and
2 mg/L (Q8); peak level: 2040 mg/L (Q24) and 520 mg/L (Q8)] a dose adjustment was not necessary. In 17 (51.5%; Q24: 9 and Q8: 8) cases tobramycin was given in combination with meropenem at a dose of 50 mg/kg three times a day and in 16 (48.5%; Q24: 8 and Q8: 8) cases in combination with ceftazidime (200 mg/kg three times a day).
Study procedures and clinical outcome parameters
Baseline examination included a complete physical examination, a body plethysmography, an audiometric investigation, and an extensive laboratory profile for evaluation of renal and liver functions as well as measurement of the inflammation parameters in blood. Creatinine clearance was calculated according to the Cockcroft and Gault's formula. All these tests were repeated at the end of therapy. The primary outcome parameters for clinical efficacy were the proportional improvement in forced expiratory volume in 1 s (FEV1 % pred.) and maximal inspired vital capacity (IVCmax % pred.), expressed as a percentage of the predicted normal values for age, sex and height, during 14 days of treatment.29,30 Secondary outcome parameters were the change in C-reactive protein, blood leucocyte count and IgG.
Pharmacokinetic analysis
For Q8 regimen blood samples were collected before and 0.5, 1, 2, 6 and 8 h after end of the first infusion and 8 h after the third infusion. For Q24 regimen blood samples were taken before and 0.5, 1, 2, 8, 12 and 24 h after end of the first infusion. The last plasma sample for both treatment groups was taken on day 14 before the last administration. All tobramycin concentrations in plasma were measured with an automated fluorescence polarization immunoassay (TDx, Abbott Laboratories, Park, IL, USA). Population kinetic analysis was performed for all 33 patients using NONMEM (Version V, Globomax). Based on an initial examination of the tobramycin timeconcentration curves, potential pharmacokinetic models considered were 1- and 2-compartment models. For the 2-compartment model, parameterization with macro constants B, C, ß and
(Advan 3 Trans 5 subroutine) was used. Interindividual variability in model parameters (e.g. ß) was modelled using an exponential error model as follows:
![]() |
jß represents the deviation of the jth individual's macro constant and that predicted by the regression model.
jß is assumed to be an independent, identically distributed, normal random variable with a zero mean and variance
2. First order (FO) method was used throughout the analysis. For residual error or within subject variability model (WSV), constant coefficient of variation (CCV) or a combination of additive and CCV error model was used. Generalized additive modelling (GAM) as implemented in XPOSE was used to screen for covariates that significantly related to the pharmacokinetic parameters.31 Akaike information criteria (AIC) were used for model selection. At each step, the model is changed by addition or deletion of the covariate that resulted in largest decrease in AIC. The search stops when the AIC has reached a minimum value. The covariates screened from GAM were then subjected to univariate analysis. Likelihood ratio test was performed and covariates that resulted in a drop of 6.63 U (P < 0.01, df = 1,
2 test) in objective function were included to build the full model. Stepwise backward deletion of the covariates from the full model was performed and deletions (P < 0.001, df = 1, increase in objective function = 10.83) determined the final model. FO method was used for the analysis. This conservative approach ensured that only the most meaningful covariates entered the model.32 Diagnostic scatter plots were used to evaluate the goodness of fit throughout the model-building procedure. The area under the concentrationtime curve (AUC24) over 24 h in steady-state was calculated for each subject from the PK parameters obtained by population analysis.
![]() |
Microbiology
Microbiological cultures and antibiotic susceptibility testing were performed before start of the treatment and at the end of the study. From all patients sputum samples were obtained and inoculated into Columbia Blood and MacConkey agar plates (Difco, Detroit, MI, USA) and screened after 24 and 48 h of incubation for the presence of P. aeruginosa strains and other pathogens. MICs from recovered pathogens were determined using standard CLSI microtitre MIC methods.33 In case of different P. aeruginosa strains in the sputum sample the MIC of the most resistant strain was used for the evaluation.
PK/PD investigations
The individual Cmax and AUC24 values were correlated with microbiological susceptibility data (MIC) of the least susceptible P. aeruginosa strain on day 1 as well as the following clinical outcome parameters: (i) FEV1 % pred. on day 14 and (ii) change in inflammatory parameters (C-reactive protein, blood leucocyte count and IgG). For PK/PD correlation, FEV1 [%] versus Cmax/MIC and FEV1 [%] versus AUC24/MIC were fitted using a log linear model with the following equation:
![]() |
40 and AUC24/MIC < 20 and FEV1
40 were excluded for model fitting. Statistical analysis
For all variables, statistical tests were performed using GraphPad PRISM (version 4.00). At baseline, the two treatment groups were compared using MannWhitney two-tailed test. Statistical analysis of the mean changes in clinical outcome from baseline (day 1 before start of therapy) to day 14 between Q8 and Q24 regimens was performed with MannWhitney two-tailed test. Statistical analysis for difference in MICs from day 1 to day 14 for each regimen was performed using Wilcoxon signed-rank test. In all tests, P < 0.05 was regarded as significant.
| Results |
|---|
|
|
|---|
Patients
Demographic data and clinical outcome parameters of 33 CF patients before start of the treatment are summarized in Table 1. Distribution of patients according to age, sex, weight, height, body mass index, creatinine clearance, lung function and inflammation parameters in blood on day 1 was equivalent for both treatment groups (MannWhitney test, P > 0.05).
|
Safety
Both tobramycin regimens were well tolerated. No significant changes in liver and renal values were observed in the study. No ototoxic effects were detected. No patient had to be withdrawn from the study. There were no serious adverse events, and the patients returned to normal activity following the study.
Clinical efficacy
The changes of clinical outcome parameters after treatment with tobramycin once-daily (Q24) versus thrice-daily (Q8) administration are shown in Table 2. For both study groups a significant improvement of pulmonary function and decrease of inflammatory parameters was observed after 14 days of therapy. There was no significant difference between mean percentage changes from day 1 to day 14 in FEV1 % pred. and IVCmax % pred. for Q8 and Q24 (MannWhitney test, P > 0.05). The same is true for all other investigated inflammatory parameters. Combination therapy with either ceftazidime or meropenem had no influence on the success rate of treatment.
|
Microbiological outcome
Before the start of therapy, P. aeruginosa was confirmed in sputum samples of all patients. The MICs of tobramycin varied between 0.5 and 32 mg/L. At day 14 the total number of patients with tobramycin MICs
16 mg/L as resistance breakpoint increased from 1 to 5 for the Q24 regimen and from 2 to 3 for the Q8 treatment. The number of patients with general increase in MIC for Q8 and Q24 were 6 and 8, respectively. MIC values significantly increased during treatment for Q24 by an average of 6.8 mg/L (Wilcoxon signed-rank test, P = 0.034), whereas they remained unchanged for Q8 (
MIC = 0.6 mg/L) (Figure 1a and b). Before and after the end of treatment all Pseudomonas isolates were susceptible to meropenem or ceftazidime, i.e. no resistance development for the used ß-lactam antibiotics was observed. Isolation of fungi or potential bacterial pathogens such as Staphylococcus aureus and Stenotrophomonas maltophilia in sputum samples of patients did not increase after 14 days of therapy.
|
Population pharmacokinetics
A two-compartment disposition model best described the population observations. This was evident from a drop in the objective function value by 86 U and improvement in diagnostic plots. The initial short distribution phase for aminoglycosides (alpha) could not be characterized for the present tobramycin observations. Therefore, the two-compartmental model actually describes the beta and gamma phases of a three-compartment model of aminoglycosides.34 The estimate for the half-life of the late gamma phase (return from the deep compartment) was found to be 23 h, because only 10% of gamma phase were seized by blood collecting procedure. Therefore, the representative parameter in the model (macro rate constant) was fixed so as to achieve a
half-life of 100 h.35,36 The covariate analysis indicated only body weight to have a significant effect in explaining between-subject variability for the
half-life. However, it bears no significance for interpretation as the estimate for gamma half-life was fixed. The residual error was best described using an additive and CCV in the final model. Concentrationtime profiles of the individual observations and population-predicted profiles for Q8 and Q24 treatment regimens are shown in Figures 2 and 3. The diagnostic plots and final estimated parameters for tobramycin are shown in Figure 4 and Table 3, respectively. Combination therapy with ceftazidime or meropenem did not affect the pharmacokinetics of tobramycin.
|
|
|
|
PK/PD investigations
To quantify the relationship between PK/PD indices of tobramycin and clinical efficacy, a log-linear model was fit to the data. There was a good log-linear relationship between AUC24/MIC and Cmax/MIC versus FEV1 % pred. on day 14 for both treatment regimens (Figure 5). It was observed that for equal values of AUC24/MIC, Q24 treatment provided better improvement in lung function than Q8 dosing, whereas Cmax/MIC did not show any dosing interval dependence. No correlation was found between PK/PD parameters and change in inflammatory parameters (C-reactive protein, blood leucocyte count and IgG).
|
| Discussion |
|---|
|
|
|---|
The quality of life and life expectancy of CF patients have improved considerably as a result of the control of bronchopulmonary bacterial colonization and acute infectious exacerbations.37,38 P. aeruginosa is the major prognostic factor in chronic pulmonary infection of CF patients, because the negative effect of the bacterium on pulmonary function is well known.3840 P. aeruginosa can only be eradicated in the early stage of colonization, while reduction of bacterial density is desirable during chronic colonization.39,41 To reduce bacterial density and prevent acute exacerbations, both connected with a degradation of lung function, many CF centres worldwide treat patients chronically infected with the pathogen with intermittent courses of intravenous antipseudomonal antibiotics, i.e. tobramycin at fixed time, e.g. 4 times per year for 23 weeks, with good clinical results.2 Several unique characteristics of aminoglycosides make once-daily dosing an attractive and possibly superior alternative to multiple-daily dosing.5,6 These features include concentration-dependent bactericidal activity, post-antibiotic effect, decreased risk of adaptive resistance, and diminished accumulation in renal tubules and the inner ear. Clinical studies in patients without CF have demonstrated equal clinical efficacy and equal or better tolerability after once-daily dosing compared with the traditional regimens.1015 In our population of adult CF patients tobramycin therapy in combination with a ß-lactam antibiotic was highly effective with a significant improvement of all investigated clinical outcome parameters. We have also shown that once-daily tobramycin has at least equivalent clinical efficacy to three-times daily treatment. These results are absolutely comparable to those observed in other clinical trials with CF patients (children and adults).16,4245 The same is also true for the safety of treatment with tobramycin once a day. In our study no nephro- or ototoxic events were detected. Therefore, we can conclude an at least equally good tolerability of once-daily administration compared with the traditionally thrice-daily dosing.
Another approach to determine the optimal dosing regimen is the use of MIC-based PK/PD indices for correlation with clinical outcome.17,18 It is well known that aminoglycosides exert their killing effect in a concentration-dependent manner and for antibiotics with this kill pattern two different PK/PD indices (Cmax/MIC versus AUC24/MIC) exist.5,6 However, there has been no agreement which of these two indices is more appropriate.2328 In our comparative study with two tobramycin treatment regimens we found reasonable correlations between Cmax/MIC and AUC24/MIC versus lung function of CF patients in both patient groups. However, predictions based on AUC24/MIC were dependent on the dosing regimen (Q24 > Q8). For the same AUC24/MIC, the once-daily treatment with higher Cmax values consistently performed better. From this, it could be concluded that the most important PK/PD parameter for prediction of clinical outcome in CF patients is the Cmax/MIC ratio. Hence, once-daily administration of total tobramycin daily dose is better for the therapeutic success in CF patients with chronic P. aeruginosa infections, compared with traditional thrice-daily dosing. In another recently published study in the same patient collective, all three known PK/PD parameters (Cmax/MIC, AUC24/MIC, t > MIC) correlated significantly with clinical efficacy (increase in FEV1 and FVC).28 The correlation was highest for AUC24/MIC. However, from in vitro and animal studies, it is well known that t > MIC is not a good predictor of aminoglycoside activity.7,18 The reason for the observed correlation between t > MIC and FEV1 found in the present study is the interdependence of the PK/PD indices when only one dosing regimen is studied. Therefore, also the other results of the study have to be interpreted with this limitation in mind.
In our study no correlation was found between Cmax/MIC or AUC24/MIC and change in other outcome parameters such as C-reactive protein and leucocyte count. These outcomes may be influenced by several factors, for example the progression of the disease. In CF patients, the primary endpoints for therapeutical interventions are well defined. The FEV1, the exacerbation rate and the quality of life have been used successfully in various clinical trials.30,46
Another potential interference is the influence of additionally given ß-lactam antibiotics on the observed PK/PD relationships. In the present study, assignment of patients to the co-administered combination drugs (ceftazidime or meropenem) was equal and combination therapy did not affect the pharmacokinetics of tobramycin. Therefore, combination therapy did not seem to have any effect on observed PK/PD relationships.
Population pharmacokinetic parameters of tobramycin found in the present study were similar to previously published data in CF patients.47 A two-compartment disposition model best described the population observations. Among the estimated parameters, the volume of distribution (0.31 L/kg) was slightly higher than that reported for aminoglycosides (0.25 L/kg).34 The estimated ß half-life of 1.7 h is in agreement with previously reported values in CF patients.
A surprising finding in our study was the significant resistance increase of P. aeruginosa after once-daily tobramycin administration, whereas MICs remained unchanged for thrice-daily dosing. These results are important because it is well known that patients who carry a multidrug-resistant strain of P. aeruginosa have a worse prognosis than those with susceptible strains of the bacterium.48 In general, decreased susceptibility of P. aeruginosa to antibiotics is a common consequence of repeated courses of antimicrobial therapy in chronically infected CF patients.4952 A study by Mouton et al.49 showed that the long-term administration of antipseudomonal antibiotics to CF patients who are chronically colonized with the bacterium is associated with the development of resistance to fluoroquinolones, aminoglycosides and ß-lactam antibiotics. Another study confirmed these results.52 These authors observed increases of P. aeruginosa MICs especially against aminoglycosides and fluoroquinolones over a limited period of time. In other previously published clinical trials in CF patients for comparison of once- versus thrice-daily administration of tobramycin, the emergence of resistant P. aeruginosa isolates before and after treatment was not evaluated.16,43,45 Therefore, the effect of the two regimens on P. aeruginosa eradication and resistance development is unknown. The question arises: which is the best explanation for a higher resistance increase after once-daily dosing compared with administration thrice daily? Tobramycin resistance is often described as a transient adaptive resistance and characterized by a temporary down-regulation of drug uptake into the bacteria.53,54 However, our observation is in contradiction of the general opinion that once-daily dosing of aminoglycosides reduces adaptive resistance because longer dosing intervals are necessary for adaptive resistance to resolve.54 On the other hand, elimination of tobramycin in CF patients is rapid, resulting in a significant portion of the dosing interval with very low to undetectable serum concentrations that greatly exceed the reported post-antibiotic effect.47 This is the main reason for selection of multidrug-resistant bacteria. Another problem in chronically infected CF patients is the development of the so-called biofilms.55,56 These biofilms resist antibiotic treatment and contribute to bacterial persistence in chronic infections. A previously published study showed that subinhibitory concentrations of aminoglycoside antibiotics induce biofilm formation in P. aeruginosa.57 Here, the newly discovered aminoglycoside response regulator gene (arr gene) was essential for this induction and contributed to biofilm-specific aminoglycoside resistance. Therefore, the increase of P. aeruginosa resistance after once-daily administration may be linked to a long dosing interval. A compromise for the prevention of P. aeruginosa resistance in CF patients may be the administration of aminoglycosides in two divided doses per day.
In conclusion, our study documents that the clinical outcome in CF patients after once- or thrice-daily dosing tobramycin is comparable, as has been shown in other efficacy studies. The most important PK/PD parameter for prediction of clinical outcome in CF patients is the Cmax/MIC ratio. Predictions based on AUC24/MIC were dependent on the dosing regimen, indicating a better outcome for a once-daily dosing regimen. The increase of P. aeruginosa resistance after once-daily administration is linked to a long dosing interval. However, our study is limited in sample size. More and larger studies are needed to optimize the dosing regimen for maximum clinical outcome with minimum resistance development.
| Transparency declarations |
|---|
|
|
|---|
None to declare.
| Footnotes |
|---|
These authors contributed equally to this work. | Acknowledgements |
|---|
This work was presented in part at the Thirty-fourth Annual Meeting of the American College of Clinical Pharmacology, Rockville, MD, 1113 September 2005, and at the Forty-fifth Interscience Conference on Antimicrobial Agents and Chemotherapy, Washington, DC, 1619 December 2005. The study was an investigator-initiated trial. Each author disclosed all pertinent involvement in any organization with a direct financial interest in the subject of the manuscript.
| References |
|---|
|
|
|---|
1 Hoiby N. (1995) Microbiology of cystic fibrosis. In Hodson ME and Geddes DM (Eds.). Cystic Fibrosis (Chapman and Hall Medical, London) pp. 7598.
2 Hoiby N. (1993) Antibiotic therapy for chronic infection of Pseudomonas in the lung. Annu Rev Med 44:110.[Web of Science][Medline]
3 Mouton JW and Kerrebijn KF. (1990) Antibacterial therapy in cystic fibrosis. Med Clin North Am 74:83750.[Web of Science][Medline]
4 Brewer NS. (1977) Antimicrobial agentsPart II. The aminoglycosides: streptomycin, kanamycin, gentamicin, tobramycin, amikacin, neomycin. Mayo Clin Proc 52:6759.[Web of Science][Medline]
5 Lacy MK, Nicolau DP, Nightingale CH, et al. (1998) The pharmacodynamics of aminoglycosides. Clin Infect Dis 27:237.[Web of Science][Medline]
6 Kim MK and Nicolau DP. (2002) Aminoglycoside pharmacodynamics. In Nightingale C, Marakawa T, Ambrose PG (Eds.). Antimicrobial Pharmacodynamics in Theory and Clinical Practice (Marcel-Dekker, New York) pp. 12553.
7 Craig WA. (2002) Pharmacodynamics of antimicrobials: general concepts and applications. In Nightingale C, Marakawa T, Ambrose PG (Eds.). Antimicrobial Pharmacodynamics in Theory and Clinical Practice (Marcel-Dekker, New York) pp. 122.
8 Moore RD, Smith CR, Lietman PS. (1984) Association of aminoglycoside plasma levels with therapeutic outcome in gram-negative pneumonia. Am J Med 77:65762.[CrossRef][Web of Science][Medline]
9 Moore RD, Smith CR, Lietman PS. (1984) The association of aminoglycoside plasma levels with mortality in patients with gram-negative bacteremia. J Infect Dis 149:4438.[Web of Science][Medline]
10 Nicolau DP, Freeman CD, Belliveau PP, et al. (1995) Experience with a once-daily aminoglycoside program administered to 2184 adult patients. Antimicrob Agents Chemother 39:6505.[Abstract]
11 Kapusnik JE, Hackbarth CJ, Chambers HF, et al. (1988) Single, large, daily dosing versus intermittent dosing of tobramycin for treating experimental pseudomonas pneumonia. J Infect Dis 158:712.[Web of Science][Medline]
12 Zhanel GG and Ariano RE. (1992) Once daily aminoglycoside dosing: maintained efficacy with reduced nephrotoxicity? Ren Fail 14:19.[Medline]
13 Prins JM, Buller HR, Kuijper EJ, et al. (1993) Once versus thrice daily gentamicin in patients with serious infections. Lancet 341:3359.[CrossRef][Web of Science][Medline]
14
Wood PJ, Ioannides-Demos LL, Li SC, et al. (1996) Minimisation of aminoglycoside toxicity in patients with cystic fibrosis. Thorax 51:36973.
15
Rybak MJ, Abate BJ, Kang SL, et al. (1999) Prospective evaluation of the effect of an aminoglycoside dosing regimen on rates of observed nephrotoxicity and ototoxicity. Antimicrob Agents Chemother 43:154955.
16 Smyth A, Tan KH, Hyman-Taylor P, et al. (2005) Once versus three-times daily regimens of tobramycin treatment for pulmonary exacerbations of cystic fibrosisthe TOPIC study: a randomised controlled trial. Lancet 365:5738.[Web of Science][Medline]
17 Sanchez-Navarro A and Sanchez Recio MM. (1999) Basis of anti-infective therapy: pharmacokinetic-pharmacodynamic criteria and methodology for dual dosage individualization. Clin Pharmacokinet 37:289304.[CrossRef][Web of Science][Medline]
18 Schuck EL and Derendorf H. (2005) Pharmacokinetic/pharmacodynamic evaluation of anti-infective agents. Expert Rev Anti Infect Ther 3:36173.[CrossRef][Medline]
19
Forrest A, Nix DE, Ballow CH, et al. (1993) Pharmacodynamics of intravenous ciprofloxacin in seriously ill patients. Antimicrob Agents Chemother 37:107381.
20
Ambrose PG, Grasela DM, Grasela TH, et al. (2001) Pharmacodynamics of fluoroquinolones against Streptococcus pneumoniae in patients with community-acquired respiratory tract infections. Antimicrob Agents Chemother 45:27937.
21
Schentag JJ, Meagher AK, Forrest A. (2003) Fluoroquinolone AUIC breakpoints and the link to bacterial killing rates. Part I: in vitro and animal models. Ann Pharmacother 37:128798.
22
Schentag JJ, Meagher AK, Forrest A. (2003) Fluoroquinolone AUIC breakpoints and the link to bacterial killing rates. Part 2: human trials. Ann Pharmacother 37:147888.
23
Bastone EB, Li SC, Ioannides-Demos LL, et al. (1993) Kill kinetics and regrowth patterns of Escherichia coli exposed to gentamicin concentration-time profiles simulating in vivo bolus and infusion dosing. Antimicrob Agents Chemother 37:9147.
24
Rayner CR, Ioannides-Demos LL, Brien JA, et al. (1998) Initial concentration-time profile of gentamicin determines efficacy against Enterobacter cloacae ATCC 13047. Antimicrob Agents Chemother 42:13704.
25 Moore RD, Lietman PS, Smith CR. (1987) Clinical response to aminoglycoside therapy: importance of the ratio of peak concentration to minimal inhibitory concentration. J Infect Dis 155:939.[Medline]
26
Kashuba AD, Nafzinger AN, Drusano GL, et al. (1999) Optimizing aminoglycoside therapy for nosocomial pneumonia caused by gram-negative bacteria. Antimicrob Agents Chemother 43:6239.
27 Smith P, Ballow CH, Booker BM, et al. (2001) Pharmacokinetics and pharmacodynamics of aztreonam and tobramycin in hospitalized patients. Clin Ther 23:123144.[CrossRef][Web of Science][Medline]
28 Mouton JW, Jacobs N, Tiddens H, et al. (2005) Pharmacodynamics of tobramycin in patients with cystic fibrosis. Diagn Microbiol Infect Dis 52:1237.[CrossRef][Web of Science][Medline]
29 Horrevorts AM, Degener JE, Dzoljic-Danilovic G, et al. (1985) Pharmacokinetics of tobramycin in patients with cystic fibrosis. Implications for the dosing interval. Chest 88:2604.[Medline]
30 Horrevorts AM, de Witte J, Degener JE, et al. (1987) Tobramycin in patients with cystic fibrosis. Adjustment in dosing interval for effective treatment. Chest 92:8448.[Medline]
31 Jonsson EN and Karlsson MO. (1999) Xposean S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM. Comput Methods Programs Biomed 58:5164.[CrossRef][Web of Science][Medline]
32 Mandema JW, Verotta D, Sheiner LB. (1995) Building population pharmacokinetic models. In D'Argenio DZ (Ed.). Advanced Methods of Pharmacokinetic and Pharmacodynamic System Analysis (Plenum Press, New York) pp. 69.
33 Tamasiro L. (1992) Broth microdilution MIC testing. In Isenberg HD (Ed.). Clinical Microbiology Procedures Handbook (American Society for Microbiology, Washington, DC).
34 Winter ME. (2004) Basic Clinical Pharmacokinetics (Lippincott Williams and Wilkins, Philadelphia) pp. 1323.
35 Schentag JJ and Jusko WJ. (1977) Renal clearance and tissue accumulation of gentamicin. Clin Pharmacol Ther 22:36470.[Web of Science][Medline]
36
Schentag JJ, Jusko WJ, Plaut ME, et al. (1977) Tissue persistence of gentamicin in man. JAMA 238:3279.
37 Ratjen F and Doring G. (2003) Cystic fibrosis. Lancet 361:6819.[CrossRef][Web of Science][Medline]
38
Gibson RL, Burns JL, Ramsey BW. (2003) Pathophysiology and management of pulmonary infections in cystic fibrosis. Am J Respir Crit Care Med 168:91851.
39 Emerson J, Rosenfeld M, McNamara S, et al. (2002) Pseudomonas aeruginosa and other predictors of mortality and morbidity in young children with cystic fibrosis. Pediatr Pulmonol 34:91100.[CrossRef][Web of Science][Medline]
40 Rosenfeld M, Ramsey BW, Gibson RL. (2003) Pseudomonas acquisition in young patients with cystic fibrosis: pathophysiology, diagnosis, and management. Curr Opin Pulm Med 9:4927.[CrossRef][Web of Science][Medline]
41 Canton R, Cobos N, de Gracia J, et al. (2005) Antimicrobial therapy for pulmonary pathogenic colonisation and infection by Pseudomonas aeruginosa in cystic fibrosis patients. Clin Microbiol Infect 11:690703.[CrossRef][Web of Science][Medline]
42 Powell SH, Thompson WL, Luthe MA, et al. (1983) Once-daily vs. continuous aminoglycoside dosing: efficacy and toxicity in animal and clinical studies of gentamicin, netilmicin, and tobramycin. J Infect Dis 147:91832.[Web of Science][Medline]
43
Vic P, Ategbo S, Turck D, et al. (1998) Efficacy, tolerance, and pharmacokinetics of once daily tobramycin for pseudomonas exacerbations in cystic fibrosis. Arch Dis Child 78:5369.
44
Bragonier R and Brown NM. (1998) The pharmacokinetics and toxicity of once-daily tobramycin therapy in children with cystic fibrosis. J Antimicrob Chemother 42:1036.
45
Whitehead A, Conway SP, Etherington C, et al. (2002) Once-daily tobramycin in the treatment of adult patients with cystic fibrosis. Eur Respir J 19:3039.
46
Ramsey BW, Pepe MS, Quan JM, et al. (1999) Intermittent administration of inhaled tobramycin in patients with cystic fibrosis. Cystic Fibrosis Inhaled Tobramycin Study Group. N Engl J Med 340:2330.
47 Touw DJ. (1998) Clinical pharmacokinetics of antimicrobial drugs in cystic fibrosis. Pharm World Sci 20:14960.[CrossRef][Web of Science][Medline]
48
Al-Aloul M, Crawley J, Winstanley C, et al. (2004) Increased morbidity associated with chronic infection by an epidemic Pseudomonas aeruginosa strain in CF patients. Thorax 59:3346.
49
Mouton JW, den Hollander JG, Horrevorts AM. (1993) Emergence of antibiotic resistance amongst Pseudomonas aeruginosa isolates from patients with cystic fibrosis. J Antimicrob Chemother 31:91926.
50 Ciofu O, Giwercman B, Pedersen SS, et al. (1994) Development of antibiotic resistance in Pseudomonas aeruginosa during two decades of antipseudomonal treatment at the Danish CF Center. APMIS 102:67480.[Web of Science][Medline]
51 Taccetti G, Campana S, Marianelli L. (1999) Multiresistant non-fermentative gram-negative bacteria in cystic fibrosis patients: the results of an Italian multicenter study. Italian Group for Cystic Fibrosis microbiology. Eur J Epidemiol 15:858.[Medline]
52 Spencker FB, Staber L, Lietz T, et al. (2003) Development of resistance in Pseudomonas aeruginosa obtained from patients with cystic fibrosis at different times. Clin Microbiol Infect 9:3709.[CrossRef][Web of Science][Medline]
53 Karlowsky JA, Saunders MH, Harding GA, et al. (1996) In vitro characterization of aminoglycoside adaptive resistance in Pseudomonas aeruginosa. Antimicrob Agents Chemother 40:138793.[Abstract]
54 Karlowsky JA, Zelenitsky SA, Zhanel GG. (1997) Aminoglycoside adaptive resistance. Pharmacotherapy 17:54955.[Web of Science][Medline]
55 Whiteley M, Bangera MG, Bumgarner RE, et al. (2001) Gene expression in Pseudomonas aeruginosa biofilms. Nature 413:8604.[CrossRef][Medline]
56 Mah TF, Pitts B, Pellock B, et al. (2003) A genetic basis for Pseudomonas aeruginosa biofilm antibiotic resistance. Nature 426:30610.[CrossRef][Medline]
57 Hoffman LR, D'Argenio DA, MacCoss MJ, et al. (2005) Aminoglycoside antibiotics induce bacterial biofilm formation. Nature 436:11715.[CrossRef][Medline]
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
M. Alipour, Z. E. Suntres, and A. Omri Importance of DNase and alginate lyase for enhancing free and liposome encapsulated aminoglycoside activity against Pseudomonas aeruginosa J. Antimicrob. Chemother., May 22, 2009; (2009) dkp165v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. Lam, J. Tjon, W. Seto, A. Dekker, C. Wong, E. Atenafu, A. Bitnun, V. Waters, Y. Yau, M. Solomon, et al. Pharmacokinetic modelling of a once-daily dosing regimen for intravenous tobramycin in paediatric cystic fibrosis patients J. Antimicrob. Chemother., June 1, 2007; 59(6): 1135 - 1140. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. W Southern Acute renal failure in people with cystic fibrosis Thorax, June 1, 2007; 62(6): 472 - 473. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||









