Literature DB >> 12791465

Analysis of parameters and validation of method for normalized interpretation of antimicrobial resistance.

Jeanna Joneberg1, Margareta Rylander, Marcelo F Galas, Celia Carlos, Göran Kronvall.   

Abstract

The method of normalized resistance interpretation (NRI), uses the high-zone side of the susceptible peak in a zone diameter histogram as an internal calibrator to construct the real standard distribution of susceptible isolates even in the presence of resistant isolates. NRI parameters were optimized using control strain histograms from microbiology laboratories in Stockholm, Argentina, and the Philippines. A moving average based on four-zone values was slightly better than based on two-zone average values. The optimal peak adjustment from the switch position of the moving average was 1.0 for two-zone averages and 2.5 for four-zone averages. A comparison between true means and NRI-calculated means showed a highly significant correlation (R(2)=0.963). Coefficients of variation (CV), comparing the CV of the true distribution of control strain test results with the NRI calculated distribution, identified two types of aberrant histograms. NRI calculations on clinical isolates of Escherichia coli and Staphylococcus aureus from selected laboratories showed a good agreement between the local resistance interpretations with the NRI calculated levels. One type of deviation was most marked with cephalothin histograms for E. coli isolates where the regular zone breakpoints used cut through the population of susceptible strains. With proper markers for required quality of disc test results, the NRI method might be a valuable tool for both resistance surveillance and for quality control of the disc diffusion method.

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Year:  2003        PMID: 12791465     DOI: 10.1016/s0924-8579(03)00053-0

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  5 in total

1.  Normalized resistance interpretation as a tool for establishing epidemiological MIC susceptibility breakpoints.

Authors:  Göran Kronvall
Journal:  J Clin Microbiol       Date:  2010-10-06       Impact factor: 5.948

2.  Effect of on-farm use of antimicrobial drugs on resistance in fecal Escherichia coli of preweaned dairy calves.

Authors:  R V Pereira; J D Siler; J C Ng; M A Davis; Y T Grohn; L D Warnick
Journal:  J Dairy Sci       Date:  2014-10-11       Impact factor: 4.034

3.  Assessment of the Usefulness of Cefapirin and Cefalonium Disks for Susceptibility Testing of Staphylococcus aureus Isolates from Bovine Mastitis.

Authors:  Kazuki Harada; Shieri Irie; Mamoru Ohnishi; Yasushi Kataoka
Journal:  Antibiotics (Basel)       Date:  2020-04-21

4.  Evidence for Establishing the Clinical Breakpoint of Cefquinome against Haemophilus Parasuis in China.

Authors:  Kun Mi; Da Sun; Mei Li; Haihong Hao; Kaixiang Zhou; Zhenli Liu; Zonghui Yuan; Lingli Huang
Journal:  Pathogens       Date:  2021-01-22

5.  Molecular characterisation of trimethoprim resistance in Escherichia coli and Klebsiella pneumoniae during a two year intervention on trimethoprim use.

Authors:  Alma Brolund; Martin Sundqvist; Gunnar Kahlmeter; Malin Grape
Journal:  PLoS One       Date:  2010-02-16       Impact factor: 3.240

  5 in total

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