Literature DB >> 17332004

Effect of excluding duplicate isolates of Escherichia coli and Staphylococcus aureus in a 14 year consecutive database.

Martin Sundqvist1, Gunnar Kahlmeter.   

Abstract

OBJECTIVES: It is recommended that duplicate isolates are excluded when reporting resistance rates. The rationale for this is that failing to do so will yield falsely high resistance rates. We analysed a 14 year consecutive database of Escherichia coli (n=62,380) and Staphylococcus aureus (n=28,178) using various cut-off algorithms to determine the importance of excluding duplicates and principal differences between the bacteria.
METHODS: Susceptibility testing was performed according to the Swedish Reference Group for Antibiotics guidelines. Duplicates were excluded on the basis of species, individual and time (exclusion cut-offs of 7, 14, 30, 45, 90, 180, 270 and 365 days) from the first isolate.
RESULTS: Although 30% of the isolates were excluded using a 365 day exclusion algorithm, the effects on resistance rates of excluding duplicates were small. Irrespective of cut-off, resistance in S. aureus decreased when duplicates were excluded. Using 7-30 days cut-offs, resistance in E. coli decreased or was not affected, whereas higher resistance rates were obtained when exclusion was based on a 365 day cut-off. Fluoroquinolone resistance was a clear exception to this rule.
CONCLUSIONS: Although the effect of exclusion of duplicates was minor, we suggest that exclusion cut-offs should match the study timeline. The data presented on E. coli, from urinary tract infections, and S. aureus, from skin and soft tissue infections, suggest that E. coli infection, >90 days after the first culture, is mainly caused by new less-resistant strains. Patients with S. aureus continue to be colonized with the same strain.

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Year:  2007        PMID: 17332004     DOI: 10.1093/jac/dkm040

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  1 in total

1.  Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data--The Influence of Different Parameters in a Routine Clinical Microbiology Laboratory.

Authors:  Rebekka Kohlmann; Sören G Gatermann
Journal:  PLoS One       Date:  2016-01-27       Impact factor: 3.240

  1 in total

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