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875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients
BACKGROUND: Clostridioides difficile infection rates are subject to infection prevention surveillance as a quality measure within the hospital setting. A large spike in Clostridioides difficile infections in post-operative patients, the majority of whom were gastrointestinal surgery (GIS) patients,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776993/ http://dx.doi.org/10.1093/ofid/ofaa439.1064 |
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author | Kagedan, Daniel Schwarz, Roderich Wasiura, Jillianna Almyroudis, Nikolaos Patel, Robin Patel, Robin Segal, Brahm H Mullin, Katherine M |
author_facet | Kagedan, Daniel Schwarz, Roderich Wasiura, Jillianna Almyroudis, Nikolaos Patel, Robin Patel, Robin Segal, Brahm H Mullin, Katherine M |
author_sort | Kagedan, Daniel |
collection | PubMed |
description | BACKGROUND: Clostridioides difficile infection rates are subject to infection prevention surveillance as a quality measure within the hospital setting. A large spike in Clostridioides difficile infections in post-operative patients, the majority of whom were gastrointestinal surgery (GIS) patients, was noted within a six month period (June through November 2019) at our comprehensive cancer center. These patients had been housed in one of two inpatient units and there was appropriate concern that this represented a C. difficile outbreak possibly related some type of infection control breach. METHODS: In an effort to query case relatedness, whole genome sequencing was performed using Illumina MiSeq instrumentation and chemistry with Illumina Nextera XT library chemistry. Assembly and core genome multilocus sequence typing analysis were performed with Ridom SeqSphere+ software. Cases were classified as community or hospital acquired based on the National Healthcare Safety Network (NHSN) definitions. RESULTS: There were 23 samples submitted for possible whole genome sequencing (WGS). 5 samples were unable to be grown therefore WGS was not completed; 16 were found to be unrelated (51 or more allelic differences); 2 of the 18 isolates were found to be possibly related (7 to 50 allelic differences). There were no isolates found to be definitively related (zero to 6 allelic differences). CONCLUSION: Given the overwhelming unrelatedness of the isolates via whole genome sequencing, this increase of C. difficile cases, identified by routine surveillance within two inpatient units, was determined to be representative of a pseudo-outbreak rather than an outbreak. This study has implications on public health reporting. National Healthcare Safety Network definitions are used to identify healthcare facility-onset C. difficile infections (CDI). The majority of cases in this study met the definition of healthcare facility-onset, and thus were reported as such, despite being genetically unrelated. This raises the concern that a significant percentage of C. difficile infections may be currently misclassified as hospital-associated and this may have negative, unfair consequences for hospitals, such as implications on reimbursement. DISCLOSURES: Robin Patel, MD, Accelerate Diagnostics (Grant/Research Support)CD Diagnostics (Grant/Research Support)Contrafect (Grant/Research Support)Curetis (Consultant)GenMark Diagnostics (Consultant)Heraeus Medical (Consultant)Hutchison Biofilm Medical Solutions (Grant/Research Support)Merck (Grant/Research Support)Next Gen Diagnostics (Consultant)PathoQuest (Consultant)Qvella (Consultant)Samsung (Other Financial or Material Support, Dr. Patel has a patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic, and a patent on an anti-biofilm substance issued.)Selux Dx (Consultant)Shionogi (Grant/Research Support)Specific Technologies (Consultant) |
format | Online Article Text |
id | pubmed-7776993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77769932021-01-07 875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients Kagedan, Daniel Schwarz, Roderich Wasiura, Jillianna Almyroudis, Nikolaos Patel, Robin Patel, Robin Segal, Brahm H Mullin, Katherine M Open Forum Infect Dis Poster Abstracts BACKGROUND: Clostridioides difficile infection rates are subject to infection prevention surveillance as a quality measure within the hospital setting. A large spike in Clostridioides difficile infections in post-operative patients, the majority of whom were gastrointestinal surgery (GIS) patients, was noted within a six month period (June through November 2019) at our comprehensive cancer center. These patients had been housed in one of two inpatient units and there was appropriate concern that this represented a C. difficile outbreak possibly related some type of infection control breach. METHODS: In an effort to query case relatedness, whole genome sequencing was performed using Illumina MiSeq instrumentation and chemistry with Illumina Nextera XT library chemistry. Assembly and core genome multilocus sequence typing analysis were performed with Ridom SeqSphere+ software. Cases were classified as community or hospital acquired based on the National Healthcare Safety Network (NHSN) definitions. RESULTS: There were 23 samples submitted for possible whole genome sequencing (WGS). 5 samples were unable to be grown therefore WGS was not completed; 16 were found to be unrelated (51 or more allelic differences); 2 of the 18 isolates were found to be possibly related (7 to 50 allelic differences). There were no isolates found to be definitively related (zero to 6 allelic differences). CONCLUSION: Given the overwhelming unrelatedness of the isolates via whole genome sequencing, this increase of C. difficile cases, identified by routine surveillance within two inpatient units, was determined to be representative of a pseudo-outbreak rather than an outbreak. This study has implications on public health reporting. National Healthcare Safety Network definitions are used to identify healthcare facility-onset C. difficile infections (CDI). The majority of cases in this study met the definition of healthcare facility-onset, and thus were reported as such, despite being genetically unrelated. This raises the concern that a significant percentage of C. difficile infections may be currently misclassified as hospital-associated and this may have negative, unfair consequences for hospitals, such as implications on reimbursement. DISCLOSURES: Robin Patel, MD, Accelerate Diagnostics (Grant/Research Support)CD Diagnostics (Grant/Research Support)Contrafect (Grant/Research Support)Curetis (Consultant)GenMark Diagnostics (Consultant)Heraeus Medical (Consultant)Hutchison Biofilm Medical Solutions (Grant/Research Support)Merck (Grant/Research Support)Next Gen Diagnostics (Consultant)PathoQuest (Consultant)Qvella (Consultant)Samsung (Other Financial or Material Support, Dr. Patel has a patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic, and a patent on an anti-biofilm substance issued.)Selux Dx (Consultant)Shionogi (Grant/Research Support)Specific Technologies (Consultant) Oxford University Press 2020-12-31 /pmc/articles/PMC7776993/ http://dx.doi.org/10.1093/ofid/ofaa439.1064 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Poster Abstracts Kagedan, Daniel Schwarz, Roderich Wasiura, Jillianna Almyroudis, Nikolaos Patel, Robin Patel, Robin Segal, Brahm H Mullin, Katherine M 875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients |
title | 875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients |
title_full | 875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients |
title_fullStr | 875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients |
title_full_unstemmed | 875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients |
title_short | 875. Pseudo-outbreak of Clostridioides (Clostridium) difficile amongst post-operative Oncology Patients |
title_sort | 875. pseudo-outbreak of clostridioides (clostridium) difficile amongst post-operative oncology patients |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776993/ http://dx.doi.org/10.1093/ofid/ofaa439.1064 |
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