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Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis

BACKGROUND: Current microbiological methods lack the resolution to accurately identify multidrug-resistant organism (MDRO) transmission, however, whole genome sequencing can identify highly-related patient isolates providing opportunities for precision infection control interventions. We investigate...

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Autores principales: Sherry, Norelle L., Gorrie, Claire L., Kwong, Jason C., Higgs, Charlie, Stuart, Rhonda L., Marshall, Caroline, Ballard, Susan A., Sait, Michelle, Korman, Tony M., Slavin, Monica A., Lee, Robyn S., Graham, Maryza, Leroi, Marcel, Worth, Leon J., Chan, Hiu Tat, Seemann, Torsten, Grayson, M. Lindsay, Howden, Benjamin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019234/
https://www.ncbi.nlm.nih.gov/pubmed/35465046
http://dx.doi.org/10.1016/j.lanwpc.2022.100446
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author Sherry, Norelle L.
Gorrie, Claire L.
Kwong, Jason C.
Higgs, Charlie
Stuart, Rhonda L.
Marshall, Caroline
Ballard, Susan A.
Sait, Michelle
Korman, Tony M.
Slavin, Monica A.
Lee, Robyn S.
Graham, Maryza
Leroi, Marcel
Worth, Leon J.
Chan, Hiu Tat
Seemann, Torsten
Grayson, M. Lindsay
Howden, Benjamin P.
author_facet Sherry, Norelle L.
Gorrie, Claire L.
Kwong, Jason C.
Higgs, Charlie
Stuart, Rhonda L.
Marshall, Caroline
Ballard, Susan A.
Sait, Michelle
Korman, Tony M.
Slavin, Monica A.
Lee, Robyn S.
Graham, Maryza
Leroi, Marcel
Worth, Leon J.
Chan, Hiu Tat
Seemann, Torsten
Grayson, M. Lindsay
Howden, Benjamin P.
author_sort Sherry, Norelle L.
collection PubMed
description BACKGROUND: Current microbiological methods lack the resolution to accurately identify multidrug-resistant organism (MDRO) transmission, however, whole genome sequencing can identify highly-related patient isolates providing opportunities for precision infection control interventions. We investigated the feasibility and potential impact of a prospective multi-centre genomics workflow for hospital infection control. METHODS: We conducted a prospective genomics implementation study across eight Australian hospitals over 15 months (2017,2018), collecting all clinical and screening isolates from inpatients with vanA VRE, MRSA, ESBL Escherichia coli (ESBL-Ec), or ESBL Klebsiella pneumoniae (ESBL-Kp). Genomic and epidemiologic data were integrated to assess MDRO transmission. FINDINGS: In total, 2275 isolates were included from 1970 patients, predominantly ESBL-Ec (40·8%) followed by MRSA (35·6%), vanA VRE (15·2%), and ESBL-Kp (8·3%). Overall, hospital and genomic epidemiology showed 607 patients (30·8%) acquired their MDRO in hospital, including the majority of vanA VRE (266 patients, 86·4%), with lower proportions of ESBL-Ec (186 patients, 23·0%), ESBL-Kp (42 patients, 26·3%), and MRSA (113 patients, 16·3%). Complex patient movements meant the majority of MDRO transmissions would remain undetected without genomic data. The genomics implementation had major impacts, identifying unexpected MDRO transmissions prompting new infection control interventions, and contributing to vanA VRE becoming a notifiable condition. We identified barriers to implementation and recommend strategies for mitigation. INTERPRETATION: Implementation of a multi-centre genomics-informed infection control workflow is feasible and identifies many unrecognised MDRO transmissions. This provides critical opportunities for interventions to improve patient safety in hospitals. FUNDING: Melbourne Genomics Health Alliance (supported by State Government of Victoria, Australia), and National Health and Medical Research Council (Australia).
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spelling pubmed-90192342022-04-21 Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis Sherry, Norelle L. Gorrie, Claire L. Kwong, Jason C. Higgs, Charlie Stuart, Rhonda L. Marshall, Caroline Ballard, Susan A. Sait, Michelle Korman, Tony M. Slavin, Monica A. Lee, Robyn S. Graham, Maryza Leroi, Marcel Worth, Leon J. Chan, Hiu Tat Seemann, Torsten Grayson, M. Lindsay Howden, Benjamin P. Lancet Reg Health West Pac Articles BACKGROUND: Current microbiological methods lack the resolution to accurately identify multidrug-resistant organism (MDRO) transmission, however, whole genome sequencing can identify highly-related patient isolates providing opportunities for precision infection control interventions. We investigated the feasibility and potential impact of a prospective multi-centre genomics workflow for hospital infection control. METHODS: We conducted a prospective genomics implementation study across eight Australian hospitals over 15 months (2017,2018), collecting all clinical and screening isolates from inpatients with vanA VRE, MRSA, ESBL Escherichia coli (ESBL-Ec), or ESBL Klebsiella pneumoniae (ESBL-Kp). Genomic and epidemiologic data were integrated to assess MDRO transmission. FINDINGS: In total, 2275 isolates were included from 1970 patients, predominantly ESBL-Ec (40·8%) followed by MRSA (35·6%), vanA VRE (15·2%), and ESBL-Kp (8·3%). Overall, hospital and genomic epidemiology showed 607 patients (30·8%) acquired their MDRO in hospital, including the majority of vanA VRE (266 patients, 86·4%), with lower proportions of ESBL-Ec (186 patients, 23·0%), ESBL-Kp (42 patients, 26·3%), and MRSA (113 patients, 16·3%). Complex patient movements meant the majority of MDRO transmissions would remain undetected without genomic data. The genomics implementation had major impacts, identifying unexpected MDRO transmissions prompting new infection control interventions, and contributing to vanA VRE becoming a notifiable condition. We identified barriers to implementation and recommend strategies for mitigation. INTERPRETATION: Implementation of a multi-centre genomics-informed infection control workflow is feasible and identifies many unrecognised MDRO transmissions. This provides critical opportunities for interventions to improve patient safety in hospitals. FUNDING: Melbourne Genomics Health Alliance (supported by State Government of Victoria, Australia), and National Health and Medical Research Council (Australia). Elsevier 2022-04-12 /pmc/articles/PMC9019234/ /pubmed/35465046 http://dx.doi.org/10.1016/j.lanwpc.2022.100446 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Sherry, Norelle L.
Gorrie, Claire L.
Kwong, Jason C.
Higgs, Charlie
Stuart, Rhonda L.
Marshall, Caroline
Ballard, Susan A.
Sait, Michelle
Korman, Tony M.
Slavin, Monica A.
Lee, Robyn S.
Graham, Maryza
Leroi, Marcel
Worth, Leon J.
Chan, Hiu Tat
Seemann, Torsten
Grayson, M. Lindsay
Howden, Benjamin P.
Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis
title Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis
title_full Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis
title_fullStr Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis
title_full_unstemmed Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis
title_short Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis
title_sort multi-site implementation of whole genome sequencing for hospital infection control: a prospective genomic epidemiological analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019234/
https://www.ncbi.nlm.nih.gov/pubmed/35465046
http://dx.doi.org/10.1016/j.lanwpc.2022.100446
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