AAC Accepted Manuscript Posted Online 26 May 2015 Antimicrob. Agents Chemother. doi:10.1128/AAC.00868-15 Copyright © 2015, American Society for Microbiology. All Rights Reserved.
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Comparative Evaluation of Colistin Susceptibility Testing Methods among Carbapenem-
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non-Susceptible Klebsiella pneumoniae and Acinetobacter baumannii Clinical Isolates
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Konstantina Dafopoulou,1,2 Olympia Zarkotou,1 Evangelia Dimitroulia,1 Christos
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Hadjichristodoulou,2 Vasiliki Gennimata,1 Spyros Pournaras,1*and Athanasios Tsakris1
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Department of Microbiology, Medical School, University of Athens, Athens1; Department
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of Hygiene and Epidemiology, Medical School, University of Thessaly, Larissa2, Greece
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Running title: Evaluation of Colistin Susceptibility Testing Methods
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*Corresponding author. Mailing address: Department of Microbiology, University of
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Athens, Athens, Greece. Phone: +30 210 7462126; fax: +30 210 7462210; e-mail:
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[email protected] 27
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We compared six colistin susceptibility testing (ST) methods in 61 carbapenem-non-
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susceptible Klebsiella pneumoniae (n=41) and Acinetobacter baumannii (n=20) with
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provisionally elevated colistin MICs by the routine ST. Colistin MICs were
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determined by broth microdilution (BMD) as reference method, BMD with 0.002%
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polysorbate 80 (P80) (BMD-P80), agar dilution (AD), Etest, Vitek2 and MIC test strip
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(MTS). The EUCAST recommended susceptible/resistant breakpoint of ≤2/>2 μg/ml
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was applied for both K. pneumoniae and A. baumannii. The proportion of colistin-
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resistant strains was 95.1/77.0/96.7/57.4/65.6/98.4% by BMD/BMD-
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P80/AD/Etest/MTS/Vitek2, respectively. Etest and MTS produced excessive rates of
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very major errors (VMEs; 39.3 and 31.1%, respectively), while BMD-P80 18.0%
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VMEs, AD 3.3% VMEs and Vitek2 no VME. Major errors (MEs) were rather limited by
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all tested methods. These data show that gradient diffusion methods may lead to
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inappropriate colistin therapy. Clinical laboratories should consider using
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automated systems, such as Vitek2 or dilution methods for colistin ST.
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Keywords: broth microdilution, agar dilution, very major errors, categorical agreement,
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essential agreement
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The increasing occurrence of multidrug-resistant (MDR) Acinetobacter baumannii,
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Pseudomonas aeruginosa, and Enterobacteriaceae led to the revival of old and neglected
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antibiotics that may remain active, such as polymyxins (polymyxin B and colistin) (1, 2).
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Colistin is increasingly used as last-resort treatment option for infections caused by MDR
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(2, 3), particularly carbapenem-resistant (CR) Gram-negative bacteria (4). However, during
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the last years increasing colistin resistance emerged worldwide, especially among
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Klebsiella pneumoniae and A. baumannii, further limiting treatment options (5-7). In
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Europe, the evolving colistin resistance is more pronounced in southern countries (notably
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Greece, Romania and Italy) (8-10).
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Rapid and reliable colistin susceptibility testing (ST) is needed in routine clinical
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laboratories to allow appropriate therapeutic decision making. Thus far, few studies
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assessed the performance of colistin ST methods, displaying controversial results and thus
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the most accurate one is still challenging (11).
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Disk diffusion, commonly used in many clinical laboratories, yielded high error rates
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compared to MIC based methods and is considered unreliable for detecting colistin
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resistance (12-14). Among commercial methods, gradient diffusion strips are convenient
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tests determining colistin MICs but their performance is not well established. Some studies
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demonstrated excellent correlations between Etest (bioMérieux, Marcy l’ Etoile, France)
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and broth microdilution (BMD) or agar dilution (AD) methods for colistin ST (13-17), while
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other reports questioned its reliability (18, 19). Another gradient diffusion test, MIC Test
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Strips (MTS, Liofilchem SRL, Italy) has not been evaluated for colistin ST to the best of our
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knowledge. Colistin ST using automated methods has been test in limited studies that
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mainly tested the performance of the Vitek2 system (bioMérieux) (13, 16, 19).
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As standard methods for MIC ST are widely considered AD and BMD (20), which
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however are not convenient for routine clinical laboratories. Additionally, for BMD,
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technical issues, such as the type or surface pre-treatment of microtitre trays have
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influenced significantly colistin MICs (3, 21). In particular, colistin displays varying
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adherence to different surfaces used for MIC trays, such as polysterene, resulting in
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reduced antibiotic concentrations actually present during experimental conditions (22).
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The addition of the surfactant polysorbate-80 (P80) in BMD (BMD-P80) minimized colistin
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adhesion to BMD panels and thus significantly reduced colistin MICs, mainly affecting
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bacteria with relatively low MICs (≤2 μg/mL) (18, 21, 23). Nevertheless, CLSI does not
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recommend using P80 for colistin ST by BMD (24). In addition, according to recent
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observations, P80 exhibited synergistic effect with colistin, perhaps enhancing its
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interaction with the bacterial cell membrane (25). Hence, further studies on the accuracy
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of BMD-P80 in determining the susceptibility of Gram-negative bacteria are needed.
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Breakpoints for colistin developed by various organizations differ (24, 26), further
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complicating the interpretation of antimicrobial ST results. Additionally, most studies
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investigating the accuracy of colistin ST methods involved predominantly colistin-
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susceptible Gram-negative isolates, while they have scarcely been tested in colistin-
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resistant strains. In this study, we evaluated various colistin MIC testing methods, such as
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BMD, BMD-P80, AD, Etest, MTS and Vitek2 in a collection of carbapenem-non-susceptible
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K. pneumoniae and A. baumannii strains with provisionally elevated colistin MICs according
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to the routine ST.
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MATERIALS AND METHODS
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Bacterial isolates. A total of 61 carbapenem-non-susceptible clinical isolates collected
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from four tertiary Greek hospitals during 2008-2013 was studied. In particular, this
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collection contained nonduplicate previously characterized KPC-, OXA-48- or VIM-
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carbapenemase-producing K. pneumoniae (n=41) and OXA-58- or OXA-23-carbapenemase-
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producing A. baumannii isolates (n=20). The isolates were recovered from patients with
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bloodstream (42.6%), respiratory tract (16.4%), urinary tract (16.4%), skin and soft tissue
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(11.5%) and other infections (13.1%). Colistin was deemed necessary for the treatment of
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the respective infections however the isolates were identified as colistin non-susceptible
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(MIC > 2 μg/ml) by the routine laboratory ST, mainly based on automated systems. Due to
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the existing controversies in colistin ST, to further evaluate the susceptibility results and
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verify that colistin could not be used for infections caused by these bacteria, the isolates
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were submitted to the reference laboratory. Prior to use in this study, the isolates had
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been stored in glycerol stocks at -70°C and subcultured twice before testing.
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Susceptibility testing. Colistin MICs were determined by BMD, BMD-P80, AD, Etest, MTS
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and Vitek2. Dilution methods were performed according to the CLSI procedures (20, 24)
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using colistin sulfate powder (Sigma-Aldrich, St. Louis, MO; Batch number SLBK0713V).
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Stock solutions of colistin were reconstituted in sterile distilled water in accordance with
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the manufacturer’s instructions immediately prior to use. BMD and BMD-P80 MIC
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determination (concentrations range 0.125-128 μg/ml) was conducted on tissue-culture-
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treated round-bottom polystyrene 96-well trays (Costar 3799; Corning, NY, USA), using a
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bacterial inoculum of 5 Χ 105 CFU/ml in cation-adjusted Mueller-Hinton broth (Sigma-
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Aldrich) without/with adding 0.002% P80 (Sigma-Aldrich). For AD, colistin was
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incorporated in Mueller-Hinton II agar (MHA, Sigma-Aldrich) plates at concentrations
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0.125-128 µg/ml and final inoculum 104 CFU/spot. Etest and MTS that include the same
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colistin concentration gradient range (0.016-256 μg/ml) were performed on MHA plates
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according to manufacturers’ instructions. Etest and MTS MICs between 2-fold dilutions
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were rounded up to the next 2-fold dilution. The Vitek2 AST-EXN8 susceptibility card
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(bioMérieux), reporting colistin MICs ≤0.5 to ≥16 μg/ml, was employed according to
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manufacturer’s recommendations. For data analysis, when needed, MICs by Vitek2 ≥16
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μg⁄ml were considered 16 μg⁄ml. All methods were performed simultaneously with a
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single inoculum for each strain, incubated at 35 ± 2°C for 18 to 20 h and results reviewed
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by two independent observers. Escherichia coli ATCC25922 and P. aeruginosa ATCC27853
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were used for quality control (24).
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Interpretation of results and data analysis. CLSI does not provide susceptibility
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breakpoints for colistin against Enterobacteriaceae, but only for A. baumannii (susceptible,
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MIC ≤ 2 μg/ml; resistant, MIC >4 μg/ml) (24). For consistency, EUCAST recommended
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breakpoints, which are available for both species (susceptible, MIC ≤ 2 μg/ml; resistant,
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MIC >2 μg/ml) (26) were applied.
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Data were analyzed by comparing results of BMD-P80/AD/Etest/MTS/Vitek2 with
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those produced by the standard BMD. Essential agreement (EA) was defined as the
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percentage of MICs within ±1 log2 dilution of MIC determined by BMD. Categorical
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agreement (CA) was defined as the percentage of isolates classified in the same
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susceptibility category by BMD and method under evaluation. Very major error (VME)
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denoted a false-susceptible result, and major error (ME) a false-resistant result (27). It
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should be noted that because our collection included mainly colistin-resistant isolates and
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to avoid overestimation of MEs, for the estimation of errors the total number of tested
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isolates was used as denominator.
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Acceptable performance was evaluated according to criteria established by the International Organization for Standardization: ≥ 90% for essential or category agreement,
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≤ 3% for VME or ME (28). Statistical analysis was performed with Student’s t test and
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differences were considered statistically significant at a P value of 3 log2 lower than
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BMD for 29.5%, 18%, 19.7% and 11.5% of the isolates, respectively, resulting in the lowest
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rate of EA (50.8% overall; 48.8/55% for K. pneumoniae/A. baumannii). Similarly, MICs
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obtained by MTS were 1, 2, 3 and >3 log2 dilutions lower for 42.6%, 23%, 6.6% and 4.9% of
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the isolates, respectively. MTS generated overall EA rate 65.6%, with low EA rate for K.
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pneumoniae isolates (53.7%) but appropriate EA for A. baumannii (EA 90%). For Vitek2, the
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EA rate was 78.6% in total; 31.1% of the isolates had MICs equal with those obtained by
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BMD, while 47.5% of the isolates had one log2 dilution higher or lower MICs (Table 3).
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In terms of errors (Table 1, Figure 1), high rates of VMEs (18.0%) and no ME were
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detected for BMD-P80, while AD exhibited 3.3% VMEs and 4.9% MEs. Etest yielded overall
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the highest rates of VMEs (39.3%) and limited MEs (1.6%); MTS produced high rates of
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VMEs (31.1%) and also limited MEs (1.6%). No VME were observed for Vitek2; it yielded
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3.3% MEs.
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DISCUSSION
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Colistin therapy is commonly necessary for the treatment of serious infections caused by
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CR Gram-negative bacteria (4). Trends toward elevated colistin MICs have been noted
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worldwide (5, 8) underlining the importance of accurate colistin susceptibility results. Also,
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suggestions for the optimal methods to be used for colistin ST have not been formulated
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by CLSI. In the present study, we evaluated the performance of six colistin ST methods
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against carbapenem-non-susceptible K. pneumoniae and A. baumannii clinical isolates with
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provisionally elevated colistin MICs.
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Much debate on the need to add the surfactant P80 in test systems for polymyxins
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has been recently arisen. Overall, available evidence for the performance of BMD-P80 in
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strains with elevated MICs is currently limited. We observed that BMD-P80 showed the
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highest EA and relatively high CA with BMD, but produced significantly lower MICs
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(p128 1 1 0 0 0 0
mean 9.2 7.0 18.3 2.8 3.2 11.2
1 0 6 0 1 0
1 0 0 0 0 0
1 1 2 0 0 0
0 0 1 0 0 0
7.5 4.6 14.9 2.1 4.0 6.7
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Table 3. Differences in log2 dilutions of MICs obtained by BMD-P80, AD, Etest, MTS and Vitek2 compared to BMD No. (%) of isolates showing a MIC difference (in log2 dilutions) of: Testing method and isolate >-3 -3 -2 -1 0 1 2 3 group BMD-P80 All isolates 3 (4.9) 24 (39.3) 34 (55.7) K. pneumoniae 2 (4.9) 12 (29.3) 27 (65.9) A. baumannii 1 (5) 12 (60) 7 (35) AD
All isolates K. pneumoniae A. baumannii
Etest
All isolates K. pneumoniae A. baumannii
MTS
Vitek2
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3 (4.9) 2 (4.9) 1 (5.0)
3 (4.9) 2 (4.9) 1 (5.0)
15 (24.6) 11 (26.8) 4 (20.0)
16 (26.2) 10 (24.4) 6 (30)
7 (11.5) 12 (19.7) 4 (9.8) 7 (17.1) 3 (15) 5 (25)
11 (18) 10 (24.4) 1 (5)
18 (29.5) 12 (29.3) 6 (30)
12 (19.7) 7 (17.1) 5 (25)
1 (1.6) 1 (2.4)
All isolates K. pneumoniae A. baumannii
3 (4.9) 2 (4.9) 1 (5)
4 (6.6) 3 (7.3) 1 (5)
14 (23) 14 (34.1) 0 (0)
26 (42.6) 15 (36.6) 11 (55)
13 (21.3) 6 (14.6) 7 (35)
1 (1.6) 1 (2.4)
All isolates K. pneumoniae A. baumannii
1 (1.6) 1 (2.4)
2 (3.3) 0 (0) 2 (10)
2 (3.3) 2 (4.9) 0 (0)
11 (18) 7 (17.1) 4 (20.0)
19 (31.1) 11 (26.8) 8 (40)
18 (29.5) 13 (31.7) 5 (25)
18 (29.5) 11 (26.8) 7 (35)
8 (13.1) 7 (17.1) 1 (5)
6 (9.8) 5 (12.2) 1 (5.0)
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Colistin AD MIC (μg/ml)
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b)
Colistin BMD-P80 MIC (μg/ml)
a) 414 415 416
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Colistin BMD MIC (μg/ml)
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c)
Colistin BMD MIC (μg/ml)
d)
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Colistin MTS MIC (μg/ml)
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Colistin Etest MIC (μg/ml)
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432 433 434
Colistin BMD MIC (μg/ml)
Colistin BMD MIC (μg/ml)
e)
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Colistin Vitek2 MIC (μg/ml)
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Colistin BMD MIC (μg/ml)
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Figure 1. Scattergrams showing numbers of isolates (n=61) at colistin MICs obtained
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by (a) BMD-P80, (b) AD, (c) Etest, (d) MTS, (e) Vitek2 versus BMD as reference. Solid
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lines represent the 2014 EUCAST breakpoint for susceptibility (≤2 μg/ml). The
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diagonal line indicates absolute agreement. VMEs are indicated by circles.