Literature DB >> 12805258

Criteria of time and antibiotic susceptibility in the elimination of duplicates when calculating resistance frequencies.

Juan Carlos Rodríguez1, Elia Sirvent, José María López-Lozano, Gloria Royo.   

Abstract

We studied the effects of various systems of eliminating repeat isolates on the absolute number and susceptibility of Pseudomonas aeruginosa, Acinetobacter baumannii and Staphylococcus aureus isolates over a 2 year period. The criterion of time is objective and reproducible, whereas that of variation in antibiotic susceptibility detects variations in the susceptibility of microorganisms that acquire resistance during treatment, but may be affected by methodological errors in determining the antibiotic susceptibility. These tools are useful in the control of multi-resistant bacteria and enable the true situation regarding antibiotic resistance in each geographical area to be determined.

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Year:  2003        PMID: 12805258     DOI: 10.1093/jac/dkg298

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


  4 in total

Review 1.  Reality of developing a community-wide antibiogram.

Authors:  Diane C Halstead; Noel Gomez; Yvette S McCarter
Journal:  J Clin Microbiol       Date:  2004-01       Impact factor: 5.948

2.  The Path of More Resistance: a Comparison of National Healthcare Safety Network and Clinical Laboratory Standards Institute Criteria in Developing Cumulative Antimicrobial Susceptibility Test Reports and Institutional Antibiograms.

Authors:  Alexander Viloria Winnett; Vinay Srinivasan; Matthew Davis; Tara Vijayan; Daniel Z Uslan; Omai B Garner; Annabelle de St Maurice
Journal:  J Clin Microbiol       Date:  2021-12-01       Impact factor: 11.677

3.  Isolate removal methods and methicillin-resistant Staphylococcus aureus surveillance.

Authors:  Fenfang Li; Tracy L Ayers; Sarah Y Park; F DeWolfe Miller; Ralph MacFadden; Michele Nakata; Myra Ching Lee; Paul V Effler
Journal:  Emerg Infect Dis       Date:  2005-10       Impact factor: 6.883

4.  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

  4 in total

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