Literature DB >> 25762769

The Resistant-Population Cutoff (RCOFF): a New Concept for Improved Characterization of Antimicrobial Susceptibility Patterns of Non-Wild-Type Bacterial Populations.

Giorgia Valsesia1, Michael Hombach1, Florian P Maurer1, Patrice Courvalin2, Malgorzata Roos3, Erik C Böttger4.   

Abstract

This study aimed to determine resistant-population cutoffs (RCOFFs) to allow for improved characterization of antimicrobial susceptibility patterns in bacterial populations. RCOFFs can complement epidemiological cutoff (ECOFF)-based settings of clinical breakpoints (CBPs) by systematically describing the correlation between non-wild-type and wild-type populations. We illustrate this concept by describing three paradigmatic examples of wild-type and non-wild-type Escherichia coli populations from our clinical strain database of disk diffusion diameters. The statistical determination of RCOFFs and ECOFFs and their standardized applications in antimicrobial susceptibility testing (AST) facilitates the assignment of isolates to wild-type or non-wild-type populations. This should improve the correlation of in vitro AST data and distinct antibiotic resistance mechanisms with clinical outcome facilitating the setting and validation of CBPs.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 25762769      PMCID: PMC4432042          DOI: 10.1128/JCM.03505-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  28 in total

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7.  Integrating forecast probabilities in antibiograms: a way to guide antimicrobial prescriptions more reliably?

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9.  A statistical approach for determination of disk diffusion-based cutoff values for systematic characterization of wild-type and non-wild-type bacterial populations in antimicrobial susceptibility testing.

Authors:  Giorgia Valsesia; Malgorzata Roos; Erik C Böttger; Michael Hombach
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

Review 10.  Modern clinical microbiology: new challenges and solutions.

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Journal:  J Clin Microbiol       Date:  2021-03-19       Impact factor: 5.948

2.  A statistical approach for determination of disk diffusion-based cutoff values for systematic characterization of wild-type and non-wild-type bacterial populations in antimicrobial susceptibility testing.

Authors:  Giorgia Valsesia; Malgorzata Roos; Erik C Böttger; Michael Hombach
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

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4.  Markedly decreasing azithromycin susceptibility of Neisseria gonorrhoeae, Germany, 2014 to 2021.

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  4 in total

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