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DePalma G, Turnidge J, Craig BA. Determination of disk diffusion susceptibility testing interpretive criteria using model-based analysis: development and implementation. Diagn Microbiol Infect Dis. 2016;87(2):143-149doi: 10.1016/j.diagmicrobio.2016.03.004.
DePalma, G., Turnidge, J., & Craig, B. A. (2017). Determination of disk diffusion susceptibility testing interpretive criteria using model-based analysis: development and implementation. Diagnostic microbiology and infectious disease, 87(2), 143-149. https://doi.org/10.1016/j.diagmicrobio.2016.03.004
DePalma, Glen, et al. "Determination of disk diffusion susceptibility testing interpretive criteria using model-based analysis: development and implementation." Diagnostic microbiology and infectious disease vol. 87,2 (2017): 143-149. doi: https://doi.org/10.1016/j.diagmicrobio.2016.03.004
DePalma G, Turnidge J, Craig BA. Determination of disk diffusion susceptibility testing interpretive criteria using model-based analysis: development and implementation. Diagn Microbiol Infect Dis. 2017 Feb;87(2):143-149. doi: 10.1016/j.diagmicrobio.2016.03.004. Epub 2016 Mar 02. PMID: 27856043.
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Diagn Microbiol Infect Dis. 2017 Feb;87(2):143-149. doi: 10.1016/j.diagmicrobio.2016.03.004. Epub 2016 Mar 02.

Determination of disk diffusion susceptibility testing interpretive criteria using model-based analysis: development and implementation.

Diagnostic microbiology and infectious disease

Glen DePalma, John Turnidge, Bruce A Craig

Affiliations

  1. Fitbit, 405 Howard St., San Francisco, CA 94105, USA. Electronic address: [email protected].
  2. Australian Commission on Safety and Quality in Health Care, 255 Elizabeth St, Sydney, NSW, Australia.
  3. Department of Statistics, Purdue University, 250 N. University Street, West Lafayette, IN 47907, USA.

PMID: 27856043 DOI: 10.1016/j.diagmicrobio.2016.03.004

Abstract

The determination of diffusion test breakpoints has become a challenging issue due to the increasing resistance of microorganisms to antibiotics. Currently, the most commonly-used method for determining these breakpoints is the modified error-rate bounded method. Its use has remained widespread despite the introduction of several model-based methods that have been shown superior in terms of precision and accuracy. However, the computational complexities associated with these new approaches has been a significant barrier for clinicians. To remedy this, we developed and examine the utility of a free online software package designed for the determination of diffusion test breakpoints: dBETS (diffusion Breakpoint Estimation Testing Software). This software package allows clinicians to easily analyze data from susceptibility experiments through visualization, error-rate bounded, and model-based approaches. We analyze four publicly available data sets from the Clinical and Laboratory Standards Institute using dBETS.

Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords: Antibiotics; Breakpoint Estimation; Disk Diffusion; Error-Rate Bounded; Minimum Inhibitory Concentration; Software Package; Susceptibility

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