100. Genomic epidemiology of carbapenemase-producing <i>Enterobacter</i> species in Toronto, Canada, 2007-2021

Abstract Background Identification of transmission networks of carbapenemase-producing organisms (CPO) is critical to identifying their reservoirs and limiting their spread. This study aimed to use whole-genome sequencing to identify genomic relationships between CP Enterobacter (CP-Ent) in Ontario, Canada over a 15-year period. Methods All CP-Ent cases identified by prospective population-based surveillance in the Toronto/Peel Region from first isolate in 2007 to 2021, from hospital sinks (2016-2019), and wastewater treatment plants and surface water sites (2015-2017) were included. CPO isolates were identified by phenotypic screening (ertapenem MIC &amp;gt; 1mg/L or meropenem disc diffusion diameter ≤ 25mm), confirmed as Enterobacter by MALDI-TOF MS and as positive for carbapenemase genes by PCR, and sequenced by Illumina. Genomics analysis utilized a custom pipeline combining Snippy, IQ-Tree, and ClonalFrameML. Results Overall, 182 isolates from 127 patients, 61 isolates from 40 sinks, and 155 isolates from 9 wastewater plants/surface water sites were available (Table 1). Thirty-one of 127 (24%) patients had &amp;gt; 1 sequenced isolate: in 29 patients all isolates were highly related (median SNV distance 3.5, range 0-13); one patient had two CP-Ent species ∼1.5 years apart, and one had 2 sequence types (STs) 86 days apart. Of 12 (30%) sinks with &amp;gt; 1 isolate, 5 had 2 STs recovered at different times (4 with different carbapenemases). Multiple species, STs, and carbapenemases were recovered from sewage trunks and surface water. Using a ≤ 20 SNV threshold between any one pair of isolates, 14 multi-patient putative clusters involving 39 patients were identified; 1 added cluster was identified and 4 expanded when the threshold was increased to 40 SNVs (Table 2). At the 40 SNV threshold, the median number of patients per cluster was 2 (range 2-9), and the median number of hospitals with at least one first identified patient in each cluster was 1.5 (range 1-4). In total, 35% (45/127) patients were part of a cluster. Conclusion CP-Ent in Ontario are diverse, but a significant minority of affected patients are part of genomically-defined clusters. Genomic clusters may reflect undetected transmission of CP-Ent in healthcare, exposure to water, or other as yet unidentified sources. Disclosures Allison McGeer, MD, AstraZeneca: Honoraria|GSK: Honoraria|Merck: Honoraria|Moderna: Honoraria|Novavax: Honoraria|Pfizer: Grant/Research Support|Pfizer: Honoraria|Roche: Honoraria|Seqirus: Grant/Research Support|Seqirus: Honoraria

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Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.037
Primary Topic
Antibiotic Resistance in Bacteria
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article
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article

100. Genomic epidemiology of carbapenemase-producing Enterobacter species in Toronto, Canada, 2007-2021

Tony Mazzulli, Allison McGeer, Derek R. MacFadden, Laura F. Mataseje et al.
Open Forum Infectious Diseases
Antibiotic Resistance in Bacteria
article

100. Genomic epidemiology of carbapenemase-producing Enterobacter species in Toronto, Canada, 2007-2021

Tony Mazzulli, Allison McGeer, Derek R. MacFadden, Laura F. Mataseje, George R. Golding, Robert W. Kozak, Tom Braukmann, Robyn S. Lee, Alainna Jamal, Samir Patel, Susan M. Poutanen, Roberto G. Melano, Conrad Izydorczyk, David Richardson, Kevin Katz, Amanda C Carroll, Nicholas Waglechner
article en

Abstract

Abstract Background Identification of transmission networks of carbapenemase-producing organisms (CPO) is critical to identifying their reservoirs and limiting their spread. This study aimed to use whole-genome sequencing to identify genomic relationships between CP Enterobacter (CP-Ent) in Ontario, Canada over a 15-year period. Methods All CP-Ent cases identified by prospective population-based surveillance in the Toronto/Peel Region from first isolate in 2007 to 2021, from hospital sinks (2016-2019), and wastewater treatment plants and surface water sites (2015-2017) were included. CPO isolates were identified by phenotypic screening (ertapenem MIC &amp;gt; 1mg/L or meropenem disc diffusion diameter ≤ 25mm), confirmed as Enterobacter by MALDI-TOF MS and as positive for carbapenemase genes by PCR, and sequenced by Illumina. Genomics analysis utilized a custom pipeline combining Snippy, IQ-Tree, and ClonalFrameML. Results Overall, 182 isolates from 127 patients, 61 isolates from 40 sinks, and 155 isolates from 9 wastewater plants/surface water sites were available (Table 1). Thirty-one of 127 (24%) patients had &amp;gt; 1 sequenced isolate: in 29 patients all isolates were highly related (median SNV distance 3.5, range 0-13); one patient had two CP-Ent species ∼1.5 years apart, and one had 2 sequence types (STs) 86 days apart. Of 12 (30%) sinks with &amp;gt; 1 isolate, 5 had 2 STs recovered at different times (4 with different carbapenemases). Multiple species, STs, and carbapenemases were recovered from sewage trunks and surface water. Using a ≤ 20 SNV threshold between any one pair of isolates, 14 multi-patient putative clusters involving 39 patients were identified; 1 added cluster was identified and 4 expanded when the threshold was increased to 40 SNVs (Table 2). At the 40 SNV threshold, the median number of patients per cluster was 2 (range 2-9), and the median number of hospitals with at least one first identified patient in each cluster was 1.5 (range 1-4). In total, 35% (45/127) patients were part of a cluster. Conclusion CP-Ent in Ontario are diverse, but a significant minority of affected patients are part of genomically-defined clusters. Genomic clusters may reflect undetected transmission of CP-Ent in healthcare, exposure to water, or other as yet unidentified sources. Disclosures Allison McGeer, MD, AstraZeneca: Honoraria|GSK: Honoraria|Merck: Honoraria|Moderna: Honoraria|Novavax: Honoraria|Pfizer: Grant/Research Support|Pfizer: Honoraria|Roche: Honoraria|Seqirus: Grant/Research Support|Seqirus: Honoraria

Open Forum Infectious DiseasesVol. 12(Supplement_1)
University Health Network (CA), Public Health Agency of Canada (CA), University of Toronto (CA), North York General Hospital (CA), Sinai Hospital (US), Ottawa Hospital (CA), Public Health Ontario (CA), William Osler Health System (CA), Ottawa Hospital Research Institute (CA), McGill University (CA)
Openalex Percentile: Top 99%
Antibiotic Resistance in Bacteria
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