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Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit
Background There are frequent reports of intensive care unit (ICU) outbreaks due to transmission of particular antibiotic-resistant bacteria. Less is known about the burden of outbreaks of resistance due to horizontal transfer of mobile genetic elements between species. Moreover, the potential of ex...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669527/ https://www.ncbi.nlm.nih.gov/pubmed/23549524 http://dx.doi.org/10.1093/cid/cit192 |
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author | Vlek, Anne L. M. Cooper, Ben S. Kypraios, Theodore Cox, Andy Edgeworth, Jonathan D. Auguet, Olga Tosas |
author_facet | Vlek, Anne L. M. Cooper, Ben S. Kypraios, Theodore Cox, Andy Edgeworth, Jonathan D. Auguet, Olga Tosas |
author_sort | Vlek, Anne L. M. |
collection | PubMed |
description | Background There are frequent reports of intensive care unit (ICU) outbreaks due to transmission of particular antibiotic-resistant bacteria. Less is known about the burden of outbreaks of resistance due to horizontal transfer of mobile genetic elements between species. Moreover, the potential of existing statistical software as a preliminary means for detecting such events has never been assessed. This study uses a software package to determine the burden of species and resistance outbreaks in 2 adjacent ICUs and to look for evidence of clustering of resistance outbreaks consistent with interspecies transmission of resistance elements. Methods A retrospective analysis of data from 2 adjacent 15-bed adult ICUs between 2002 and 2009 was undertaken. Detection of bacterial species-groups and resistance outbreaks was conducted using SaTScan and WHONet-SaTScan software. Resampling and permutation methods were applied to investigate temporal clustering of outbreaks. Results Outbreaks occurred for 69% of bacterial species-groups (18/26), and resistance outbreaks were detected against 63% of antibiotics (10/16). Resistance outbreaks against 7 of 10 antibiotics were observed in multiple species-groups simultaneously and there was evidence of inter–species-group dependence for 4 of 7 antibiotics; background temporal changes in resistance did not explain the temporal aggregation of outbreaks in 3 of 7 antibiotics. Conclusions Species outbreaks occurred for the majority of bacteria commonly identified in the ICU. There was evidence for frequent temporal clustering of resistance outbreaks consistent with interspecies transmission of resistance elements. Wider application of outbreak detection software combined with targeted sequencing of bacterial genomes is needed to understand the contribution of interspecies gene transfer to resistance emergence. |
format | Online Article Text |
id | pubmed-3669527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36695272013-06-03 Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit Vlek, Anne L. M. Cooper, Ben S. Kypraios, Theodore Cox, Andy Edgeworth, Jonathan D. Auguet, Olga Tosas Clin Infect Dis Articles and Commentaries Background There are frequent reports of intensive care unit (ICU) outbreaks due to transmission of particular antibiotic-resistant bacteria. Less is known about the burden of outbreaks of resistance due to horizontal transfer of mobile genetic elements between species. Moreover, the potential of existing statistical software as a preliminary means for detecting such events has never been assessed. This study uses a software package to determine the burden of species and resistance outbreaks in 2 adjacent ICUs and to look for evidence of clustering of resistance outbreaks consistent with interspecies transmission of resistance elements. Methods A retrospective analysis of data from 2 adjacent 15-bed adult ICUs between 2002 and 2009 was undertaken. Detection of bacterial species-groups and resistance outbreaks was conducted using SaTScan and WHONet-SaTScan software. Resampling and permutation methods were applied to investigate temporal clustering of outbreaks. Results Outbreaks occurred for 69% of bacterial species-groups (18/26), and resistance outbreaks were detected against 63% of antibiotics (10/16). Resistance outbreaks against 7 of 10 antibiotics were observed in multiple species-groups simultaneously and there was evidence of inter–species-group dependence for 4 of 7 antibiotics; background temporal changes in resistance did not explain the temporal aggregation of outbreaks in 3 of 7 antibiotics. Conclusions Species outbreaks occurred for the majority of bacteria commonly identified in the ICU. There was evidence for frequent temporal clustering of resistance outbreaks consistent with interspecies transmission of resistance elements. Wider application of outbreak detection software combined with targeted sequencing of bacterial genomes is needed to understand the contribution of interspecies gene transfer to resistance emergence. Oxford University Press 2013-07-01 2013-04-02 /pmc/articles/PMC3669527/ /pubmed/23549524 http://dx.doi.org/10.1093/cid/cit192 Text en © The Author 2013. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles and Commentaries Vlek, Anne L. M. Cooper, Ben S. Kypraios, Theodore Cox, Andy Edgeworth, Jonathan D. Auguet, Olga Tosas Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit |
title | Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit |
title_full | Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit |
title_fullStr | Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit |
title_full_unstemmed | Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit |
title_short | Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit |
title_sort | clustering of antimicrobial resistance outbreaks across bacterial species in the intensive care unit |
topic | Articles and Commentaries |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669527/ https://www.ncbi.nlm.nih.gov/pubmed/23549524 http://dx.doi.org/10.1093/cid/cit192 |
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