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Antimicrobial Agents and Chemotherapy, May 2004, p. 1719-1726, Vol. 48, No. 5
0066-4804/04/$08.00+0 DOI: 10.1128/AAC.48.5.1719-1726.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Faculties of Pharmacy,1 Medicine, University of Manitoba,2 Department of Pharmacy,4 Microbiology Laboratory, St. Boniface General Hospital, Winnipeg, Manitoba, Canada3
Received 26 November 2003/ Accepted 13 January 2004
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Therapeutic decisions for the management of PD-related peritonitis are often guided by the standard microbiological test of antibiotic susceptibility, MIC. However, MIC interpretations do not account for the unique factors in PD-related peritonitis including (i) much higher intraperitoneal antibiotic concentrations than those achieved in serum, (ii) interactions of antibiotic combinations, and (iii) variable compositions and effects of dialysate on antibacterial activity. As a result, a microbiological test other than MIC which incorporates peritonitis-specific variables into its measure of antibacterial effect may be most predictive of treatment response. Our goals were to develop the peritoneal fluid titer (PFT) test and to conduct a pilot study of its association with clinical outcome for PD-related peritonitis.
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Antibiotics. Cefazolin and tobramycin were used to develop the PFTs, whereas vancomycin and ceftazidime were also required in the pilot study. Pharmaceutical-grade cefazolin, vancomycin, and tobramycin obtained from Sigma-Aldrich Inc. (Oakville, Ontario, Canada) were used to prepare 1,000-µg/ml stock solutions in sterile distilled water. Aliquots (2 ml) were stored at 70°C for a maximum duration of 2 months. Ceftazidime obtained from Eli Lilly & Company (Greenfield, Ill.) was used to make 1,000-µg/ml solutions by dissolving the drug in anhydrous sodium carbonate solution and diluting it with sterile distilled water. Ceftazidime solutions were used within 1 h of preparation. MICs described below were used to verify antibiotic concentrations (24). Staphylococcus aureus (ATCC 29213) was used to test cefazolin and vancomycin, whereas Pseudomonas aeruginosa (ATCC 27853) was used for tobramycin and ceftazidime. Acceptable MIC ranges were 0.25 to 1 µg/ml for cefazolin, 0.5 to 2 µg/ml for vancomycin, 0.25 to 1 µg/ml for tobramycin, and 1 to 4 µg/ml for ceftazidime (24).
Bacteria. PFTs were developed by using six clinically relevant pathogens including S. aureus, Staphylococcus epidermidis, Escherichia coli, Klebsiella pneumoniae, Enterobacter cloacae, and P. aeruginosa (32). Six clinical peritoneal isolates of each pathogen were identified by using the Microbiology Laboratory database (Microscan, Dade Diagnostics Corp., Mississauga, Ontario, Canada) of records between 1999 and 2001. Study isolates were retrieved from frozen (i.e., 70°C) stock. The Microbiology Laboratory used standard techniques for culture and sensitivity testing of peritoneal fluid samples collected from patients with suspected PD-related peritonitis (1).
PFTs require bacterial growth in dialysate broth medium; therefore, initial growth studies were conducted. Bacterial suspensions were prepared by transferring 5 to 10 colonies from solid TSA to 5 ml of MHB and incubating them at 35°C for 2 h. The suspension was adjusted to a 0.5 McFarland standard (i.e., 1 x 108 to 2 x 108 CFU/ml) and diluted 100-fold in MHB. One milliliter of bacterial suspension was added to 1 ml of dialysate supernatant, yielding 5 x 105 CFU/ml in a final 2-ml volume. Test tubes were incubated at 35°C for 24 h. Colony counts were performed by serially diluting a sample (0.1 ml) in normal saline at 4°C and plating aliquots (0.01 and 0.1 ml) on solid TSA. Plates were incubated at 35°C for 24 h, and then viable bacterial colonies were counted. The lower limit of detection was 102 CFU/ml. Bacterial growth in dialysate supernatant:MHB (50:50) was then compared to that in MHB.
MICs. For all isolates, macrodilution MICs were determined according to methods described by the NCCLS (24). MHB supplemented with 25 mg of Ca++/liter and 12.5 mg of Mg++/liter was used. In the first test tube, antibiotic stock solution was added to 2 ml of cation-supplemented MHB to achieve twice the desired starting concentration. In seven subsequent tubes, 1 ml of cation-supplemented MHB was added. Serial dilution began by transferring 1 ml from the first tube and ended by discarding 1 ml from the last tube. All test tubes were vortexed prior to the next transfer. Bacterial suspensions were prepared as described above for growth studies, and colony counts were performed to verify inocula. One milliliter of bacterial suspension was added to each test tube, yielding 5 x 105 CFU/ml in a final 2-ml volume. Test tubes were incubated at 35°C for 24 h. The MIC was determined by visual inspection as the lowest antibiotic concentration to inhibit visible growth. Measurements were conducted in duplicate on separate occasions. Positive and negative controls were run during all experiments.
PFTs. PFTs are measures of overall antibacterial activity, based on the assumption that the antibacterial effect is a complex interaction of antibiotic(s), infecting pathogen, and dialysate. The test was adapted from the serum titer, a standardized test of overall antibacterial activity in serum. Given significant interpatient variability in antibiotic dialysate concentrations as determined by dose, dianeal fluid volumes, dwell durations, and peritoneal membrane status, the PFT test was developed by using dialysate supernatant spiked with standard antibiotic concentrations. Antibiotic was added to simulate average levels achieved during the first 6-h dwell of dianeal fluid (2 liters) containing antibiotic. Two intraperitoneal antibiotic regimens were simulated, including cefazolin (500-mg loading dose followed by 125 mg in every bag) plus tobramycin (60 mg in one bag daily) and cefazolin (see above) alone. Based on a dialysate effluent volume of 2.5 liters and a systemic absorption of 85% for both antibiotics (25), processed dialysate was spiked to produce 120 mg of cefazolin/liter and 20 mg of tobramycin/liter.
Two milliliters of spiked dialysate supernatant was added to the first test tube, whereas 1 ml of MHB was placed in the seven subsequent tubes. Unsupplemented MHB was used, since the serial dilution of all dialysate components including cations was desired. Serial dilution began by transferring 1 ml from the first tube and ended by discarding 1 ml from the last tube. All test tubes were vortexed prior to the next transfer. Bacterial suspensions were prepared and adjusted to a 0.5 McFarland standard as described above for growth studies, and colony counts were performed to verify inocula. Next, 0.01 ml of bacterial suspension was injected just below the fluid surface, yielding 106 CFU/ml in a final 1-ml volume. Test tubes were incubated at 35°C for 24 h. The peritoneal fluid inhibitory titer (PIT) was determined by visual inspection as the highest dilution to inhibit visible growth. The peritoneal fluid bactericidal titer (PBT) was determined by plating samples (0.01 and 0.1 ml) from each clear tube and identifying the highest dilution to achieve 99.9% bacterial kill. Titers were recorded as 0, 1/2, 1/4, 1/8, 1/16, 1/32, 1/64, 1/128, 1/256, or >1/256. All titers were determined in duplicate on separate occasions. Again, positive and negative controls were run during all experiments.
Pilot study. The pilot study was approved by the University of Manitoba Health Research Ethics Board. Fourteen patients with microbiologically confirmed bacterial PD-related peritonitis from whom spent dialysate was collected prior to the initiation of antibiotics were studied. Each patient's spent dialysate was processed and spiked with antibiotic(s) to simulate their own treatment regimen. Cefazolin and tobramycin regimens were replicated as described above. Regimens containing vancomycin (2,000 mg in one bag weekly) or ceftazidime (250-mg loading dose followed by 125 mg in every bag) were simulated based on a dialysate effluent volume of 2.5 liters and systemic absorption of 70% for both antibiotics (11, 15, 20, 21). PITs and PBTs were then determined by using each patient's dialysate and infecting pathogen. Patient and infection-related information, including demographics (age and weight), dialysis history, clinical presentation, treatment (antibiotic, dose, schedule, and duration) and clinical response, were obtained from medical records. Clinical cure was defined as resolution without clinical signs or symptoms of infection for 14 days after the discontinuation of antibiotic therapy. Failure was defined as inadequate clinical response requiring a modification of treatment or the removal of the catheter, infection relapse with the same pathogen within 14 days, or infection-related death.
Statistical analysis. Data analysis was performed by using Microsoft Excel and SPSS version 11.1 software. Paired t test or analysis of variance was used to examine differences in dialysate biochemical compositions. Individual PFTs with medians and interquartile ranges were reported. For comparison, titers were plotted on scattergrams, with values two or more dilutions apart considered significantly different. Titers were also compared by using the nonparametric Mann-Whitney test.
The relationship between PIT and MIC was characterized by comparing measured and calculated titers, where calculated titers were the antibiotic dialysate concentration divided by MIC. Since titers could not be calculated for combination regimens, the comparison was made only for the cefazolin regimen. In the pilot study, titers and MICs were compared between cases in which patients were cured and those in which patients failed treatment. All statistical tests were conducted by using an alpha of 0.05.
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TABLE 1. MIC data for 36 study isolatesa
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PITs for cefazolin plus tobramycin used in six dialysates are shown in Fig. 1. Since titer results with the different dialysates used against the same isolate were similar (i.e., within one dilution of the median), one dialysate (number 3) was selected to test the remaining study isolates. PITs for cefazolin plus tobramycin against all 36 study isolates are shown in Fig. 2. Overall, PITs were significantly higher against gram-positive bacteria than gram-negative bacteria (P < 0.0001). Medians and interquartile ranges were similar for P. aeruginosa (median, 1/48; interquartile range, 1/32 to 1/64), E. cloacae (median, 1/32; interquartile range, 1/20 to 1/32), K. pneumoniae (median, 1/48; interquartile range, 1/32 to 1/64), and E. coli (median, 1/64; interquartile range, 1/40 to 1/64) and were higher for S. aureus (median, 1/128; interquartile range, 1/128 to 1/128) and S. epidermidis (median, 1/96; interquartile range, 1/64 to 1/224). PITs for cefazolin alone are depicted in Fig. 3. Again, PITs were significantly higher against gram-positive pathogens (P < 0.0001). There was no measurable activity against E. cloacae or P. aeruginosa. PITs for cefazolin were relatively consistent against K. pneumoniae (median, 1/32; interquartile range, 1/32 to 1/32), E. coli (median, 1/32; interquartile range, 1/32 to 1/32), and S. aureus (median, 1/128; interquartile range, 1/128 to 1/128) and more variable against S. epidermidis (median, 1/48; interquartile range, 1/32 to 1/208). The scattergram in Fig. 4 compares PITs for cefazolin to those of cefazolin plus tobramycin (P = 0.007). The addition of tobramycin increased titers significantly from zero to values of 1/16 to 1/64 against E. cloacae and P. aeruginosa (P < 0.0001). There was no difference between measured and calculated PITs for cefazolin alone (Fig. 5). P. aeruginosa and E. cloacae were excluded from this analysis since cefazolin alone was inactive.
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FIG. 1. PITs for cefazolin plus tobramycin against single isolates of S. epidermidis (isolate number 20), S. aureus (isolate number 11), E. coli (isolate number 9), K. pneumoniae (isolate number 2), E. cloacae (isolate number 3), and P. aeruginosa (isolate number 30) using six dialysates (1 to 6).
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FIG. 2. PITs for cefazolin plus tobramycin against all study isolates.
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FIG. 3. PITs for cefazolin against all study isolates.
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FIG. 4. PITs for cefazolin versus cefazolin plus tobramycin against all study isolates. The dashed line is the line of unity and solid lines are ±1 dilution. Solid squares indicate S. epidermidis, solid triangles indicate S. aureus, open squares indicate E. coli, open triangles indicate K. pneumoniae, open circles indicate E. cloacae, and closed circles indicate P. aeruginosa.
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FIG. 5. Measured versus calculated PITs for cefazolin against 24 clinical isolates, where the dashed line is the line of unity and solid lines are ±1 dilution. Solid squares indicate S. epidermidis, solid triangles indicate S. aureus, open squares indicate E. coli, and open triangles indicate K. pneumoniae.
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1/64 and only 25% (1 out of 4) for those with values of
1/32. There was not a significant association between the MIC of cefazolin and vancomycin (P = 0.11) or tobramycin (P = 0.32) and clinical response. |
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TABLE 2. PITs and clinical outcome in pilot study of 14 patients with PD-related peritonitis
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FIG. 6. PITs determined for 14 patients with PD-related peritonitis by using their dialysate and infecting pathogen.
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The PFT test was adapted from the serum titer which uses patient serum collected during antibiotic treatment, usually at times of peak or trough concentrations (23). Serum titers are used to evaluate in vivo antibiotic pharmacodynamics by administering antibiotics to healthy volunteers, collecting serum samples, and measuring titers against various bacteria (16, 27). The test accounts for interpatient variability with regard to antibiotic concentrations and other serum-related variables such as complement factors. However, the role of serum titers in clinical practice has not been established (17). Initial investigations for infections like endocarditis (5, 18, 19) and osteomyelitis (29) have shown that serum titers provide variable results which are of limited clinical value. It is important to acknowledge, however, that clinical applicability depends on (i) the use of biological samples representative of an infection site, (ii) the provision of information not available through standard MICs or antibiotic concentrations, and (iii) an association with clinical outcome. For example, a study of patients with cystic fibrosis being treated for pulmonary infections found that peak serum bactericidal titers of 1/128 were over 90% predictive of cure, whereas those less than 1/16 were 100% predictive of treatment failure in patients (2). Given the unique factors of PD-related peritonitis, the potential for PFTs is to provide an infection-specific and clinically relevant method of evaluating antibiotic therapies.
Since PIT and PBT results were consistently similar, the former method was adopted based on ease and convenience. Although relatively uncommon, some cases such as those involving tolerant bacteria may be more appropriately tested with bactericidal titers. In a recent study, antibiotic activity against P. aeruginosa was measured in standard broth, fresh dianeal fluids (i.e., dextrose and icodextrin), and spent dialysate collected from patients with culture-negative peritonitis (33). Tolerance to ceftazidime and piperacillin was observed with MICs which were unchanged but minimum bactericidal concentrations which were significantly higher in dianeal fluid than in broth. In the present study, there was no evidence of antibiotic tolerance.
There were no differences in titers with six different dialysates used against the same isolates (Fig. 1). Since antibiotic concentrations were standardized, differences among dialysate would be due to other dialysate-related factors. Numerous studies have described the effects of variables like pH, CO2, cations, and glucose on antibiotic activity in dianeal fluids (3, 7, 22). There may be direct effects on antibiotics, such as Ca++ and Mg++ facilitating aminoglycoside uptake, or indirect effects on bacterial growth. PFTs incorporate the dialysate and its components into the measure of overall antibacterial effect. Through serial dilution, however, the dialysate component is rapidly reduced, with 1/32, for example, representing a sample diluted in half five times. Hence, it was not surprising that dialysate-related factors other than antibiotic(s) appeared to have relatively little influence.
PFTs for cefazolin alone were consistent with antibiotic concentration in relation to MIC as shown in Fig. 5. In other words, measured titers were very similar to those calculated by dividing the antibiotic dialysate concentration by MIC. However, it is important to consider that using dialysate containing standard antibiotic concentrations would significantly strengthen the correlation between PFT and MIC. It is expected that PFTs using patient dialysate collected during treatment would be more variable because of significant interpatient variability in antibiotic concentrations. Hence, it would also follow that PFTs determined by this method may be more indicative of antibacterial effect and have a stronger association with subsequent clinical outcome. Notably, a significant association with treatment response was observed with PIT but not with MIC. A potential explanation for this finding is the presence of antibiotic combinations which would be considered in the measure of antibacterial activity by PFTs but not by MICs. In other words, it is difficult, if not impossible, to interpret the pharmacodynamics of antibiotic combinations from multiple MICs.
This study exemplifies the potential role of the PFT in evaluating and comparing antibiotic therapies for PD-related peritonitis. PFTs could be used to test empirical antibiotic regimens using similar methods. Spent dialysate could be collected, processed, and spiked with the study regimens. Next, titers against numerous clinical isolates representing the most prevalent peritoneal pathogens could be determined. Alternatively, PFTs could be used to study pathogen-directed therapies. For example, various antibiotic regimens (e.g., ceftazidime plus tobramycin and ceftazidime plus ciprofloxacin) could be tested against a representative sample of P. aeruginosa isolated from patients with PD-related peritonitis.
The PFT described in this study has important limitations. The test was developed for culture-positive bacterial PD-related peritonitis with single pathogens which grow adequately in spent dialysate and standard broth. For example, alpha-hemolytic streptococcus, another clinically relevant but fastidious pathogen, was not tested. As a measure of overall antibacterial effect in dialysate, the PFT may not represent antibiotic activity in biofilm, which can form on catheters or abdominal cavity surfaces. Although the prevalence and implications of biofilm in peritonitis are not fully understood, antibiotic activity can be impaired by reductions in drug penetration or alterations in bacterial metabolism (6). Infections which are persistent, relapsing, or associated with exit-site or tunnel infections are considered more likely to have biofilm involvement.
In conclusion, this study provides preliminary support for the PFT as a pharmacodynamic index specific to the treatment of PD-related peritonitis. With further characterization and validation in patients, the PFT may advance the study of antibiotic therapies for PD-related peritonitis.
We thank Nancy Olson for her technical assistance and the staff of the Microbiology Laboratory (St. Boniface General Hospital) for their generous support.
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