Whole Genome Sequencing Detects Minimal Clustering Among Escherichia coli Sequence Type 131-H30 Isolates Collected From United States Children's Hospitals

Arianna Miles-Jay; Scott J Weissman; Amanda L Adler; Janet G Baseman; Danielle M Zerr

doi:10.1093/jpids/piaa023

Whole Genome Sequencing Detects Minimal Clustering Among Escherichia coli Sequence Type 131-H30 Isolates Collected From United States Children's Hospitals

J Pediatric Infect Dis Soc. 2021 Mar 26;10(2):183-187. doi: 10.1093/jpids/piaa023.

Authors

Arianna Miles-Jay^{1

2}, Scott J Weissman^{2

3}, Amanda L Adler², Janet G Baseman¹, Danielle M Zerr^{2

3}

Affiliations

¹ Department of Epidemiology, University of Washington, Seattle, Washington, USA.
² Seattle Children's Research Institute, Seattle, Washington, USA.
³ Department of Pediatrics, University of Washington, Seattle, Washington, USA.

Abstract

We applied whole genome sequencing to identify putative transmission clusters among clinical multidrug-resistant Escherichia coli sequence type 131-H30 isolates from 4 United States children's hospitals. Of 126 isolates, 17 were involved in 8 putative transmission clusters; 4 clusters showed evidence of healthcare-associated epidemiologic linkages. Geographic clustering analyses showed weak geographic clustering.

Keywords: E coli infections; ST131; antimicrobial resistance.

© The Author(s) 2020. Published by Oxford University Press on behalf of The Journal of the Pediatric Infectious Diseases Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

MeSH terms

Anti-Bacterial Agents / pharmacology
Child
Cluster Analysis
Drug Resistance, Multiple, Bacterial
Escherichia coli Infections* / diagnosis
Escherichia coli Infections* / epidemiology
Escherichia coli* / genetics
Hospitals
Humans
United States / epidemiology
Whole Genome Sequencing
beta-Lactamases

Substances

Anti-Bacterial Agents
beta-Lactamases

Abstract

MeSH terms

Substances

Grants and funding