Literature DB >> 23210931

The critical influence of the intermediate category on interpretation errors in revised EUCAST and CLSI antimicrobial susceptibility testing guidelines.

M Hombach1, E C Böttger, M Roos.   

Abstract

Erroneous assignments of clinical isolates to the interpretative categories susceptible, intermediate and resistant can deprive a patient of successful antimicrobial therapy. The rate of major errors (ME) and very major errors (vME) is dependent on: (i) the precision/standard deviation (σ) of the antibiotic susceptibility testing (AST) method, (ii) the diameter distributions, (iii) clinical breakpoints, and (iv) the width of the intermediate zone. The European Committee on AST (EUCAST) has abandoned or decreased the intermediate zone for several drug/species combinations. This study focused on the effects of discontinuing the intermediate category on the rate of interpretation errors. In total, 10,341 non-duplicate clinical isolates were included in the study. For susceptibility testing the disc diffusion method was used. Error probabilities were calculated separately for diameter values flanking the interpretative category borders. Error probabilities were then applied to the actual numbers of clinical isolates investigated and expected rates of ME and vME were calculated. Applying EUCAST AST guidelines, significant rates of ME/vME were demonstrated for all drug/species combinations without an intermediate range. Virtually all ME/vME expected were eliminated in CLSI guidelines that retained an intermediate zone. If wild-type and resistant isolates are not clearly separated in susceptibility distributions, the retaining of an intermediate zone will decrease the number of ME and vME. An intermediate zone of 2-3 mm avoids almost all ME/vME for most species/drug combinations depending on diameter distributions. Laboratories should know their epidemiology settings to be able to detect problems of individual species/drug/clinical breakpoint combinations and take measures to improve precision of diameter measurements.
© 2012 The Authors Clinical Microbiology and Infection © 2012 European Society of Clinical Microbiology and Infectious Diseases.

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Year:  2012        PMID: 23210931     DOI: 10.1111/1469-0691.12090

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  16 in total

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

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

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

Authors:  Florian P Maurer; Patrice Courvalin; Erik C Böttger; Michael Hombach
Journal:  J Clin Microbiol       Date:  2014-08-06       Impact factor: 5.948

3.  Validation of antibiotic susceptibility testing guidelines in a routine clinical microbiology laboratory exemplifies general key challenges in setting clinical breakpoints.

Authors:  Michael Hombach; Patrice Courvalin; Erik C Böttger
Journal:  Antimicrob Agents Chemother       Date:  2014-04-28       Impact factor: 5.191

4.  Standardization of Operator-Dependent Variables Affecting Precision and Accuracy of the Disk Diffusion Method for Antibiotic Susceptibility Testing.

Authors:  Michael Hombach; Florian P Maurer; Tamara Pfiffner; Erik C Böttger; Reinhard Furrer
Journal:  J Clin Microbiol       Date:  2015-10-14       Impact factor: 5.948

5.  Imipenem-Relebactam Susceptibility Testing of Gram-Negative Bacilli by Agar Dilution, Disk Diffusion, and Gradient Strip Methods Compared with Broth Microdilution.

Authors:  Hanna Hakvoort; Evelyn Bovenkamp; Kerryl E Greenwood-Quaintance; Suzannah M Schmidt-Malan; Jay N Mandrekar; Audrey N Schuetz; Robin Patel
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

6.  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

7.  Evaluation of MicroScan WalkAway for Determination of Ceftazidime-Avibactam and Ceftolozane-Tazobactam Susceptibility in Carbapenem-Resistant Gram-Negative Bacilli.

Authors:  Carmen Antonia Sanches Ito; Larissa Bail; Lavinia Nery Villa Stangler Arend; Kleber Oliveira Silva; Simone Sebold Michelotto; Keite da Silva Nogueira; Felipe Francisco Tuon
Journal:  J Clin Microbiol       Date:  2021-09-29       Impact factor: 5.948

8.  Impact of minimal inhibitory concentration breakpoints on local cumulative bacterial susceptibility data and antibiotic consumption.

Authors:  Sofia Stokkou; Ina Tammer; Stefanie Zibolka; Christina Grabau; Gernot Geginat
Journal:  BMC Res Notes       Date:  2014-09-03

9.  Standardisation of disk diffusion results for antibiotic susceptibility testing using the sirscan automated zone reader.

Authors:  Michael Hombach; Reinhard Zbinden; Erik C Böttger
Journal:  BMC Microbiol       Date:  2013-10-08       Impact factor: 3.605

10.  Change of antibiotic susceptibility testing guidelines from CLSI to EUCAST: influence on cumulative hospital antibiograms.

Authors:  Aline Wolfensberger; Hugo Sax; Rainer Weber; Reinhard Zbinden; Stefan P Kuster; Michael Hombach
Journal:  PLoS One       Date:  2013-11-01       Impact factor: 3.240

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