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Journal of Clinical Microbiology
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Epidemiology

Comparing Patient Risk Factor-, Sequence Type-, and Resistance Locus Identification-Based Approaches for Predicting Antibiotic Resistance in Escherichia coli Bloodstream Infections

Derek R. MacFadden, Roberto G. Melano, Bryan Coburn, Nathalie Tijet, William P. Hanage, Nick Daneman
Nathan A. Ledeboer, Editor
Derek R. MacFadden
aUniversity of Toronto, Division of Infectious Diseases, Toronto, Ontario, Canada
bHarvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
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Roberto G. Melano
cPublic Health Ontario Laboratory, Toronto, Ontario, Canada
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  • ORCID record for Roberto G. Melano
Bryan Coburn
aUniversity of Toronto, Division of Infectious Diseases, Toronto, Ontario, Canada
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Nathalie Tijet
cPublic Health Ontario Laboratory, Toronto, Ontario, Canada
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William P. Hanage
bHarvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
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Nick Daneman
aUniversity of Toronto, Division of Infectious Diseases, Toronto, Ontario, Canada
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Nathan A. Ledeboer
Medical College of Wisconsin
Roles: Editor
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DOI: 10.1128/JCM.01780-18
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Article Information

DOI 
https://doi.org/10.1128/JCM.01780-18
PubMed 
30894438

Published By 
American Society for Microbiology Journals
History 
  • Received November 5, 2018
  • Returned for modification November 30, 2018
  • Accepted March 12, 2019
  • Published online May 24, 2019.

Copyright & Usage 
Copyright © 2019 MacFadden et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
Editors and / or Reviewers 
  • Nathan A. Ledeboer, Editor, Medical College of Wisconsin

Article Versions

  • Accepted Manuscript version (March 20, 2019).
  • You are viewing the most recent version of this article.

Author Information

  1. Derek R. MacFaddena,b,
  2. Roberto G. Melanoc,
  3. Bryan Coburna,
  4. Nathalie Tijetc,
  5. William P. Hanageb and
  6. Nick Danemana
  1. aUniversity of Toronto, Division of Infectious Diseases, Toronto, Ontario, Canada
  2. bHarvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
  3. cPublic Health Ontario Laboratory, Toronto, Ontario, Canada
  • Address correspondence to Derek R. MacFadden, derek.macfadden{at}mail.utoronto.ca.
  • Citation MacFadden DR, Melano RG, Coburn B, Tijet N, Hanage WP, Daneman N. 2019. Comparing patient risk factor-, sequence type-, and resistance locus identification-based approaches for predicting antibiotic resistance in Escherichia coli bloodstream infections. J Clin Microbiol 57:e01780-18. https://doi.org/10.1128/JCM.01780-18.

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Comparing Patient Risk Factor-, Sequence Type-, and Resistance Locus Identification-Based Approaches for Predicting Antibiotic Resistance in Escherichia coli Bloodstream Infections
Derek R. MacFadden, Roberto G. Melano, Bryan Coburn, Nathalie Tijet, William P. Hanage, Nick Daneman
Journal of Clinical Microbiology May 2019, 57 (6) e01780-18; DOI: 10.1128/JCM.01780-18

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Comparing Patient Risk Factor-, Sequence Type-, and Resistance Locus Identification-Based Approaches for Predicting Antibiotic Resistance in Escherichia coli Bloodstream Infections
Derek R. MacFadden, Roberto G. Melano, Bryan Coburn, Nathalie Tijet, William P. Hanage, Nick Daneman
Journal of Clinical Microbiology May 2019, 57 (6) e01780-18; DOI: 10.1128/JCM.01780-18
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    • ABSTRACT
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KEYWORDS

antibiotic resistance
prediction
rapid diagnostics

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