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wgs-guided s.pyogenes outbreak control 853


due to patients’ underlying medical conditions and behaviors. In June 2016, S. pyogenes was isolated from 4 patients


(1 bacteremia and 3 wound infections) from a male residential ward (ward A) in a mental health facility in Singapore. Because this was a surge in the baseline incidence of S. pyogenes (1–2 cases over the previous 6 months), an institution-wide out- break investigation was initiated following the identification of these index cases. This facility is a 2,000-bed tertiary-care psychiatric hospital providing acute-care and chronic mental health services. It is situated on a large open-plan campus that includes 50 inpatient wards, 7 specialist outpatient clinics, and long-term residential care units, including assisted living quarters for patients with chronic mental health issues. An outbreak control team was convened to determine the


extent and epidemiology of the outbreak, to identify potential breaches in infection control practice, and to provide recom- mendations to prevent further transmission of infection. Because classicalMprotein gene (emm) typing for S. pyogenes was not available in Singapore, the outbreak control team decided to use whole-genome sequencing (WGS) as the pri- mary typing method to assist traditional epidemiology during this investigation. Here, we report the utility of WGS in guiding the outbreak management, and we present a com- parison if its performance with that of emm typing.


methods Definitions


The study included patients and staff with S. pyogenes infection and/or asymptomatic throat or skin carriage between June 1, 2016, and December 31, 2016. Invasive disease was defined as the isolation of S. pyogenes from normally sterile sites. Com- munity isolates were those with no known epidemiological link to the institution where the outbreak occurred. These isolates were collected from a different healthcare institution between November 2015 and April 2016.


Case Finding


To identify individuals with S. pyogenes infection, we collected oropharyngeal swabs from residents and staff members on the affected wards and swabs from residents with visible wounds on skin. Staff members were questioned regarding signs and symptoms of S. pyogenes infection in the month prior to the identification of the index cases. Medical records were reviewed to track the movements of patients and staff across the hospital to identify possible transmission routes.


Laboratory Investigation of Isolates


Samples taken from patients and staff members at the out- break institution were processed remotely at the Department of Laboratory Medicine in Tan Tock Seng Hospital.


The samples were cultured to detect S. pyogenes using standard methods (see Supplementary Methods). Cultured organisms were identified using matrix-assisted laser desorption/ioniza- tion time-of-flight mass spectroscopy (MALDI-TOF MS; Bruker, Bremen, Germany). Antimicrobial susceptibility test- ing was performed using the disc diffusion method according to the protocol established by the Clinical and Laboratory Standards Institute (M100-S25).13 Thereafter, emm typing was retrospectively performed using polymerase chain reaction (PCR) and Sanger sequencing as described by the Centers for Disease Control and Prevention (CDC; http://www.cdc.gov /ncidod/biotech/strep/protocols.html). The emm types were assigned using the CDC database (http://www2a.cdc.gov/nci- dod/biotech/strepblast.asp).


Whole-Genome Sequencing of S. pyogenes Isolates


TheWGS of isolates took place on 3 occasions between June 17, 2016, and November 11, 2016, at the Genome Institute of Sin- gapore. Genomic DNA was extracted from 43 isolates from patients and staff from the affected institution and from 24 ran- domly selected community-derived S. pyogenes isolates. The 24 community isolates (GAS001-024) provided background genetic information on S. pyogenes circulating locally. We performed single-nucleotide polymorphism (SNP)–based genome phylo- geny14,15 using genomic regions filtered for mobile genetic ele- ments (see Supplementary Methods section 1.2 for details) in silico emm typing16,17 and in silico multilocus sequence typing (MLST)18 on the S. pyogenes WGS data (see Supplementary Methods). Clusters of closely related strains were identified by manual inspection of the phylogenetic tree; these are referred to


as “genomic clusters” in the rest of the manuscript. Sequencing files (FASTQ) were submitted to the GenBank Sequence Read Archive (SRA; study accession no. SRP111309). The outbreak control team determined the presence of person-to-person transmissions of S. pyogenes (directly or indir- ectly) based on integrating data from epidemiological investiga- tions combined with pairwise SNP differences (fromWGS) and emm types. We compared WGS and emm typing in their ability to support the correct identification of person-to-person trans- missions and to guide the management of the outbreak.


results


As part of the outbreak investigation, 204 patients (11.4% of inpatients) and 152 staff members (6.9% of clinical staff members) were tested for S. pyogenes infection or colonization between June 1 and December 31, 2016. Streptococcus pyogenes was isolated from 35 patients (17% of all patients screened) in 8 wards (A–H) and 2 (1.3%) staff members. Of these 204 patients, 30 patients (14.7%) had dermal colonization and 1 patient (0.5%) had throat colonization. Also, 4 patients had soft-tissue infections requiring hospitalization in an acute-care facility. Of these 4 patients, 2 had bacteremia. One of the bacteremic patients had necrotizing fasciitis and required


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