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Trend analysis of antibiotic resistance and minimum inhibitory concentration distribution from 1997 to 2007 among Pseudomonas aeruginosa, Escherichia coli and Klebsiella pneumoniae in European ICUs
Critical Care volume 13, Article number: P302 (2009)
The aim of this study was to analyse trends in antibiotic susceptibility and minimum inhibitory concentration (MIC) distribution in European ICUs based on data from the Mystic surveillance study initiated in 1997 .
Twenty-eight ICUs in Belgium, Croatia, Finland, Germany, Spain, Sweden and the UK contributed with nonrepeat isolates of Pseudomonas aeruginosa (n = 3,241), Escherichia coli (n = 3,306), and Klebsiella pneumoniae (n = 1,660). Only non-repeat isolates taken on clinical indication were included. Two models were used for trend analysis: Model A: changes in susceptibility (S), intermediate (I) and resistance (R) using the EUCAST breakpoints  described by the logistic regression model pR = 1/(1 + exp(-aR - bR × year)) and Model B: changes in MIC distribution 2logMIC = aM + bM × year. The parameters bR and bM describe the time dependence, and the hypotheses bR = 0 and bM = 0 can be tested. Year was used as the independent variable in both models.
Resistance (I+R%) rates in 2007 and trend analysis ((+ increase, - decrease), (P values for changes in susceptibility/MIC distribution from 1997 to 2007)): P. aeruginosa: imipenem 43% ((+/+), <0.001/<0.001)) (Figures 1 and 2), meropenem 27% ((+/+), (0.01/0.04)), ceftazidime 32% ((+/+), (0.035/<0.001)), ciprofloxacin 32% ((-/-) (0.39/0.79)), gentamicin 22% ((-/-),(0.002/0,019)); E. coli: imipenem 0.6% ((-/-) (<0.013/<0.001)), meropenem 0% ((+/-) (0.66/<0.001)), cefotaxime 9% ((-/+), (0.61/0.17)), ciprofloxacin 25% ((+/+), (<0.001/0.07)), gentamicin 14% ((+/+), (0.14/0.44)); and K. pneumoniae: imipenem 0% ((-/-) (<0.001/<0.001)), meropenem 0.5% ((-/-) (0.89/<0.001)), cefotaxime 13% ((-/-), (<0.001/0.3)), ciprofloxacin 17% ((+/-), (0.017/0.78)), gentamicin 21% ((+/-), (0.16/0.61)).
Significantly (P < 0.05) increasing resistance rates (I+R%) and increasing MICs (2log MIC) were found among P. aeruginosa to carbapenems and ceftazidime. For other species-antibiotic combinations there were either low (<1%) resistance rates or not the same significant changes demonstrated with the two trend models. This study showed that trend analysis based on MIC distributions was not more sensitive than trend analysis based on changes in susceptibility (I+R). High (>27%) resistance rates were seen for all tested drugs against P. aeruginosa while low (<1%) resistance rates were only shown for carbapenems against E. coli and K. pneumoniae.
Jones RN, Masterton R: Determining the value of antimicrobial surveillance programs. Diagn Microbiol Infect Dis 2001, 41: 171-175. 10.1016/S0732-8893(01)00318-2
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Hanberger, H., Gill, H., Fransson, G. et al. Trend analysis of antibiotic resistance and minimum inhibitory concentration distribution from 1997 to 2007 among Pseudomonas aeruginosa, Escherichia coli and Klebsiella pneumoniae in European ICUs. Crit Care 13, P302 (2009). https://doi.org/10.1186/cc7466
- Minimum Inhibitory Concentration
- Trend Analysis