Early identification of a ward-based outbreak of Clostridioides difficile using prospective multilocus sequence type-based Oxford Nanopore genomic surveillance
To describe an outbreak of sequence type (ST)2 infection (CDI) detected by a recently implemented multilocus sequence type (MLST)-based prospective genomic surveillance system using Oxford Nanopore Technologies (ONT) sequencing. Hemato-oncology ward of a public tertiary referral centre. From Februar...
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Veröffentlicht in: | Infection control and hospital epidemiology 2024-09, Vol.45 (9), p.1057-1063 |
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creator | Bloomfield, Max Hutton, Samantha Burton, Megan Tarring, Claire Velasco, Charles Clissold, Carolyn Balm, Michelle Kelly, Matthew Macartney-Coxson, Donia White, Rhys |
description | To describe an outbreak of sequence type (ST)2
infection (CDI) detected by a recently implemented multilocus sequence type (MLST)-based prospective genomic surveillance system using Oxford Nanopore Technologies (ONT) sequencing.
Hemato-oncology ward of a public tertiary referral centre.
From February 2022, we began prospectively sequencing all
isolated from inpatients at our institution on the ONT MinION device, with the output being an MLST. Bed-movement data are used to construct real-time ST-specific incidence charts based on ward exposures over the preceding three months.
Between February and October 2022, 76 of 118 (64.4%) CDI cases were successfully sequenced. There was wide ST variation across cases and the hospital, with only four different STs being seen in >4 patients. A clear predominance of ST2 CDI cases emerged among patients with exposure to our hemato-oncology ward between May and October 2022, which totalled ten patients. There was no detectable rise in overall CDI incidence for the ward or hospital due to the outbreak. Following a change in cleaning product to an accelerated hydrogen peroxide wipe and several other interventions, no further outbreak-associated ST2 cases were detected. A retrospective phylogenetic analysis using original sequence data showed clustering of the suspected outbreak cases, with the exception of two cases that were retrospectively excluded from the outbreak.
Prospective genomic surveillance of
using ONT sequencing permitted the identification of an outbreak of ST2 CDI that would have otherwise gone undetected. |
doi_str_mv | 10.1017/ice.2024.77 |
format | Article |
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infection (CDI) detected by a recently implemented multilocus sequence type (MLST)-based prospective genomic surveillance system using Oxford Nanopore Technologies (ONT) sequencing.
Hemato-oncology ward of a public tertiary referral centre.
From February 2022, we began prospectively sequencing all
isolated from inpatients at our institution on the ONT MinION device, with the output being an MLST. Bed-movement data are used to construct real-time ST-specific incidence charts based on ward exposures over the preceding three months.
Between February and October 2022, 76 of 118 (64.4%) CDI cases were successfully sequenced. There was wide ST variation across cases and the hospital, with only four different STs being seen in >4 patients. A clear predominance of ST2 CDI cases emerged among patients with exposure to our hemato-oncology ward between May and October 2022, which totalled ten patients. There was no detectable rise in overall CDI incidence for the ward or hospital due to the outbreak. Following a change in cleaning product to an accelerated hydrogen peroxide wipe and several other interventions, no further outbreak-associated ST2 cases were detected. A retrospective phylogenetic analysis using original sequence data showed clustering of the suspected outbreak cases, with the exception of two cases that were retrospectively excluded from the outbreak.
Prospective genomic surveillance of
using ONT sequencing permitted the identification of an outbreak of ST2 CDI that would have otherwise gone undetected.</description><identifier>ISSN: 0899-823X</identifier><identifier>ISSN: 1559-6834</identifier><identifier>EISSN: 1559-6834</identifier><identifier>DOI: 10.1017/ice.2024.77</identifier><identifier>PMID: 38706217</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Detergents ; Diarrhea ; Genomes ; Genomics ; Hospitals ; Hydrogen peroxide ; Infections ; Intervention ; Laboratories ; Original ; Original Article ; Outbreaks ; Patients ; Phylogenetics ; Surveillance</subject><ispartof>Infection control and hospital epidemiology, 2024-09, Vol.45 (9), p.1057-1063</ispartof><rights>The Author(s), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America</rights><rights>The Author(s), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024 2024 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-ff4fb9cdcb3a4215c520f16e751bc534f3faf6fd9d091e6c5d71d07ce5b444a33</citedby><cites>FETCH-LOGICAL-c448t-ff4fb9cdcb3a4215c520f16e751bc534f3faf6fd9d091e6c5d71d07ce5b444a33</cites><orcidid>0000-0002-3920-7151 ; 0000-0002-1051-537X ; 0000-0001-6620-758X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0899823X24000771/type/journal_article$$EHTML$$P50$$Gcambridge$$Hfree_for_read</linktohtml><link.rule.ids>164,230,314,777,781,882,27905,27906,55609</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38706217$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bloomfield, Max</creatorcontrib><creatorcontrib>Hutton, Samantha</creatorcontrib><creatorcontrib>Burton, Megan</creatorcontrib><creatorcontrib>Tarring, Claire</creatorcontrib><creatorcontrib>Velasco, Charles</creatorcontrib><creatorcontrib>Clissold, Carolyn</creatorcontrib><creatorcontrib>Balm, Michelle</creatorcontrib><creatorcontrib>Kelly, Matthew</creatorcontrib><creatorcontrib>Macartney-Coxson, Donia</creatorcontrib><creatorcontrib>White, Rhys</creatorcontrib><title>Early identification of a ward-based outbreak of Clostridioides difficile using prospective multilocus sequence type-based Oxford Nanopore genomic surveillance</title><title>Infection control and hospital epidemiology</title><addtitle>Infect. Control Hosp. Epidemiol</addtitle><description>To describe an outbreak of sequence type (ST)2
infection (CDI) detected by a recently implemented multilocus sequence type (MLST)-based prospective genomic surveillance system using Oxford Nanopore Technologies (ONT) sequencing.
Hemato-oncology ward of a public tertiary referral centre.
From February 2022, we began prospectively sequencing all
isolated from inpatients at our institution on the ONT MinION device, with the output being an MLST. Bed-movement data are used to construct real-time ST-specific incidence charts based on ward exposures over the preceding three months.
Between February and October 2022, 76 of 118 (64.4%) CDI cases were successfully sequenced. There was wide ST variation across cases and the hospital, with only four different STs being seen in >4 patients. A clear predominance of ST2 CDI cases emerged among patients with exposure to our hemato-oncology ward between May and October 2022, which totalled ten patients. There was no detectable rise in overall CDI incidence for the ward or hospital due to the outbreak. Following a change in cleaning product to an accelerated hydrogen peroxide wipe and several other interventions, no further outbreak-associated ST2 cases were detected. A retrospective phylogenetic analysis using original sequence data showed clustering of the suspected outbreak cases, with the exception of two cases that were retrospectively excluded from the outbreak.
Prospective genomic surveillance of
using ONT sequencing permitted the identification of an outbreak of ST2 CDI that would have otherwise gone undetected.</description><subject>Detergents</subject><subject>Diarrhea</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Hospitals</subject><subject>Hydrogen peroxide</subject><subject>Infections</subject><subject>Intervention</subject><subject>Laboratories</subject><subject>Original</subject><subject>Original Article</subject><subject>Outbreaks</subject><subject>Patients</subject><subject>Phylogenetics</subject><subject>Surveillance</subject><issn>0899-823X</issn><issn>1559-6834</issn><issn>1559-6834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>IKXGN</sourceid><recordid>eNptkcuO1DAQRS0EYpqBFXtkiQ0SSmPHdpysEGoND2nEbEBiZzl2ufGQxMF2Gvpr-FUcTTM8xKoWdepW3boIPaZkSwmVL7yBbU1qvpXyDtpQIbqqaRm_izak7bqqrdmnM_QgpWtCiOw6eh-dsVaSpqZyg35c6DgcsbcwZe-80dmHCQeHNf6mo616ncDisOQ-gv6yNnZDSDl660MZSth6V8b8AHhJftrjOYY0g8n-AHhchuyHYJaEE3xdYDKA83GGk-rVdxeixe_1FOYQAe9hCqM3OC3xAH4YdOEfontODwkeneo5-vj64sPubXV59ebd7tVlZThvc-Ucd31nrOmZ5jUVRtTE0QakoL0RjDvmtGuc7SzpKDRGWEktkQZEzznXjJ2jlze689KPYE15R9SDmqMfdTyqoL36uzP5z2ofDopSQdtGiqLw7KQQQ_Gashp9MrDagLAkxYigvG6IIAV9-g96HZY4FX-K0ZpSWdj1pOc3lCkvTRHc7TWUqDV5VZJXa_JKykI_-dPALfsr6gJUJzk99iW_Pfze-j_Bn1lEvls</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Bloomfield, Max</creator><creator>Hutton, Samantha</creator><creator>Burton, Megan</creator><creator>Tarring, Claire</creator><creator>Velasco, Charles</creator><creator>Clissold, Carolyn</creator><creator>Balm, Michelle</creator><creator>Kelly, Matthew</creator><creator>Macartney-Coxson, Donia</creator><creator>White, Rhys</creator><general>Cambridge University Press</general><scope>IKXGN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3920-7151</orcidid><orcidid>https://orcid.org/0000-0002-1051-537X</orcidid><orcidid>https://orcid.org/0000-0001-6620-758X</orcidid></search><sort><creationdate>20240901</creationdate><title>Early identification of a ward-based outbreak of Clostridioides difficile using prospective multilocus sequence type-based Oxford Nanopore genomic surveillance</title><author>Bloomfield, Max ; Hutton, Samantha ; Burton, Megan ; Tarring, Claire ; Velasco, Charles ; Clissold, Carolyn ; Balm, Michelle ; Kelly, Matthew ; Macartney-Coxson, Donia ; White, Rhys</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-ff4fb9cdcb3a4215c520f16e751bc534f3faf6fd9d091e6c5d71d07ce5b444a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Detergents</topic><topic>Diarrhea</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Hospitals</topic><topic>Hydrogen peroxide</topic><topic>Infections</topic><topic>Intervention</topic><topic>Laboratories</topic><topic>Original</topic><topic>Original Article</topic><topic>Outbreaks</topic><topic>Patients</topic><topic>Phylogenetics</topic><topic>Surveillance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bloomfield, Max</creatorcontrib><creatorcontrib>Hutton, Samantha</creatorcontrib><creatorcontrib>Burton, Megan</creatorcontrib><creatorcontrib>Tarring, Claire</creatorcontrib><creatorcontrib>Velasco, Charles</creatorcontrib><creatorcontrib>Clissold, Carolyn</creatorcontrib><creatorcontrib>Balm, Michelle</creatorcontrib><creatorcontrib>Kelly, Matthew</creatorcontrib><creatorcontrib>Macartney-Coxson, Donia</creatorcontrib><creatorcontrib>White, Rhys</creatorcontrib><collection>Cambridge Journals Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Infection control and hospital epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bloomfield, Max</au><au>Hutton, Samantha</au><au>Burton, Megan</au><au>Tarring, Claire</au><au>Velasco, Charles</au><au>Clissold, Carolyn</au><au>Balm, Michelle</au><au>Kelly, Matthew</au><au>Macartney-Coxson, Donia</au><au>White, Rhys</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early identification of a ward-based outbreak of Clostridioides difficile using prospective multilocus sequence type-based Oxford Nanopore genomic surveillance</atitle><jtitle>Infection control and hospital epidemiology</jtitle><addtitle>Infect. Control Hosp. Epidemiol</addtitle><date>2024-09-01</date><risdate>2024</risdate><volume>45</volume><issue>9</issue><spage>1057</spage><epage>1063</epage><pages>1057-1063</pages><issn>0899-823X</issn><issn>1559-6834</issn><eissn>1559-6834</eissn><abstract>To describe an outbreak of sequence type (ST)2
infection (CDI) detected by a recently implemented multilocus sequence type (MLST)-based prospective genomic surveillance system using Oxford Nanopore Technologies (ONT) sequencing.
Hemato-oncology ward of a public tertiary referral centre.
From February 2022, we began prospectively sequencing all
isolated from inpatients at our institution on the ONT MinION device, with the output being an MLST. Bed-movement data are used to construct real-time ST-specific incidence charts based on ward exposures over the preceding three months.
Between February and October 2022, 76 of 118 (64.4%) CDI cases were successfully sequenced. There was wide ST variation across cases and the hospital, with only four different STs being seen in >4 patients. A clear predominance of ST2 CDI cases emerged among patients with exposure to our hemato-oncology ward between May and October 2022, which totalled ten patients. There was no detectable rise in overall CDI incidence for the ward or hospital due to the outbreak. Following a change in cleaning product to an accelerated hydrogen peroxide wipe and several other interventions, no further outbreak-associated ST2 cases were detected. A retrospective phylogenetic analysis using original sequence data showed clustering of the suspected outbreak cases, with the exception of two cases that were retrospectively excluded from the outbreak.
Prospective genomic surveillance of
using ONT sequencing permitted the identification of an outbreak of ST2 CDI that would have otherwise gone undetected.</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><pmid>38706217</pmid><doi>10.1017/ice.2024.77</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-3920-7151</orcidid><orcidid>https://orcid.org/0000-0002-1051-537X</orcidid><orcidid>https://orcid.org/0000-0001-6620-758X</orcidid><oa>free_for_read</oa></addata></record> |
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source | Cambridge Journals |
subjects | Detergents Diarrhea Genomes Genomics Hospitals Hydrogen peroxide Infections Intervention Laboratories Original Original Article Outbreaks Patients Phylogenetics Surveillance |
title | Early identification of a ward-based outbreak of Clostridioides difficile using prospective multilocus sequence type-based Oxford Nanopore genomic surveillance |
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