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An outbreak of Streptococcus pyogenes in a mental health facility: advantage of well-timed whole-genome sequencing over emm typing

  • Sarah M Bergin
  • , Balamurugan Periaswamy
  • , Timothy Barkham
  • , Hong Choon Chua
  • , Yee Ming Mok
  • , Daniel Shuen Sheng Fung
  • , Alex Hsin Chuan Su
  • , Yen Ling Lee
  • , Ming Lai Ivan Chua
  • , Poh Yong Ng
  • , Wei Jia Wendy Soon
  • , Collins Wenhan Chu
  • , Siyun Lucinda Tan
  • , Mary Meehan
  • , Brenda Sze Peng Ang
  • , Yee Sin Leo
  • , Matthew T G Holden
  • , Partha De
  • , Li Yang Hsu
  • , Swaine L Chen
  • Paola Florez de Sessions, Kalisvar Marimuthu

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVE:  We report the utility of whole-genome sequencing (WGS) conducted in a clinically relevant time frame (ie, sufficient for guiding management decision), in managing a Streptococcus pyogenes outbreak, and present a comparison of its performance with emm typing.

SETTING:  A 2,000-bed tertiary-care psychiatric hospital.

METHODS:  Active surveillance was conducted to identify new cases of S. pyogenes. WGS guided targeted epidemiological investigations, and infection control measures were implemented. Single-nucleotide polymorphism (SNP)-based genome phylogeny, emm typing, and multilocus sequence typing (MLST) were performed. We compared the ability of WGS and emm typing to correctly identify person-to-person transmission and to guide the management of the outbreak.

RESULTS:  The study included 204 patients and 152 staff. We identified 35 patients and 2 staff members with S. pyogenes. WGS revealed polyclonal S. pyogenes infections with 3 genetically distinct phylogenetic clusters (C1-C3). Cluster C1 isolates were all emm type 4, sequence type 915 and had pairwise SNP differences of 0-5, which suggested recent person-to-person transmissions. Epidemiological investigation revealed that cluster C1 was mediated by dermal colonization and transmission of S. pyogenes in a male residential ward. Clusters C2 and C3 were genomically diverse, with pairwise SNP differences of 21-45 and 26-58, and emm 11 and mostly emm120, respectively. Clusters C2 and C3, which may have been considered person-to-person transmissions by emm typing, were shown by WGS to be unlikely by integrating pairwise SNP differences with epidemiology.

CONCLUSIONS:  WGS had higher resolution than emm typing in identifying clusters with recent and ongoing person-to-person transmissions, which allowed implementation of targeted intervention to control the outbreak.

Original languageEnglish
Pages (from-to)852-860
Number of pages9
JournalInfection Control and Hospital Epidemiology
Volume39
Issue number7
Early online date9 May 2018
DOIs
Publication statusPublished - Jul 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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