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VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis

BACKGROUND: Emergence of multidrug-resistant Pseudomonas aeruginosa is of global concern. We aimed to identify epidemiological relationships, the most common way of transmission, and risk factors for presence of Verona Integron-encoded Metallo-β-lactamase (VIM)-positive P. aeruginosa (VIM-PA). METHO...

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Autores principales: Voor in ‘t holt, Anne F., Severin, Juliëtte A., Hagenaars, Margot B. H., de Goeij, Inge, Gommers, Diederik, Vos, Margreet C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828133/
https://www.ncbi.nlm.nih.gov/pubmed/29492262
http://dx.doi.org/10.1186/s13756-018-0325-1
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author Voor in ‘t holt, Anne F.
Severin, Juliëtte A.
Hagenaars, Margot B. H.
de Goeij, Inge
Gommers, Diederik
Vos, Margreet C.
author_facet Voor in ‘t holt, Anne F.
Severin, Juliëtte A.
Hagenaars, Margot B. H.
de Goeij, Inge
Gommers, Diederik
Vos, Margreet C.
author_sort Voor in ‘t holt, Anne F.
collection PubMed
description BACKGROUND: Emergence of multidrug-resistant Pseudomonas aeruginosa is of global concern. We aimed to identify epidemiological relationships, the most common way of transmission, and risk factors for presence of Verona Integron-encoded Metallo-β-lactamase (VIM)-positive P. aeruginosa (VIM-PA). METHODS: We conducted a network analysis and matched case-control studies (1:2:2). Controls were hospital-based and matched with cases for ward, day of admission (control group 1 and 2) and time between admission and the identification of VIM-PA (control group 1). The network was visualized using Cytoscape, and risk factors were determined using conditional logistic regression. RESULTS: Between August 2003 and April 2015, 144 case patients and 576 control patients were recruited. We identified 307 relationships in 114 out of these 144 patients, with most relationships (84.7%) identified at the same department < 3 months after a previous case patient was discharged. In the multivariable model, having undergone ≥1 gastroscopy (odds ratio [OR] = 4.40, 95% confidence interval [CI] = 2.00 to 9.65 and OR = 2.47; 95% CI = 1.12 to 5.49), > 10 day use of selective digestive tract decontamination (SDD) (OR = 2.97; 95% CI = 1.02 to 8.68 and OR = 4.61; 95% CI = 1.22 to 17.37), and use of quinolones (OR = 3.29; 95% CI = 1.34 to 8.10 and OR = 3.95; 95% CI = 1.13 to 13.83 and OR = 4.47; 95% CI = 1.75 to 11.43) were identified as risk factors when using both control groups. CONCLUSIONS: The network analysis indicated that the majority of transmissions occurred on the wards, but through unidentified and presumably persistent sources, which are most likely in the innate hospital environment. Previous use of certain antibiotic regimens made patients prone to VIM-PA carriage. Additionally, gastroscopy could be considered as a high-risk procedure in patients with risk factors. Our results add to the growing body of evidence that infection control measures targeting VIM-PA should be focused on reducing antibiotics and eliminating sources in the environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0325-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-58281332018-02-28 VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis Voor in ‘t holt, Anne F. Severin, Juliëtte A. Hagenaars, Margot B. H. de Goeij, Inge Gommers, Diederik Vos, Margreet C. Antimicrob Resist Infect Control Research BACKGROUND: Emergence of multidrug-resistant Pseudomonas aeruginosa is of global concern. We aimed to identify epidemiological relationships, the most common way of transmission, and risk factors for presence of Verona Integron-encoded Metallo-β-lactamase (VIM)-positive P. aeruginosa (VIM-PA). METHODS: We conducted a network analysis and matched case-control studies (1:2:2). Controls were hospital-based and matched with cases for ward, day of admission (control group 1 and 2) and time between admission and the identification of VIM-PA (control group 1). The network was visualized using Cytoscape, and risk factors were determined using conditional logistic regression. RESULTS: Between August 2003 and April 2015, 144 case patients and 576 control patients were recruited. We identified 307 relationships in 114 out of these 144 patients, with most relationships (84.7%) identified at the same department < 3 months after a previous case patient was discharged. In the multivariable model, having undergone ≥1 gastroscopy (odds ratio [OR] = 4.40, 95% confidence interval [CI] = 2.00 to 9.65 and OR = 2.47; 95% CI = 1.12 to 5.49), > 10 day use of selective digestive tract decontamination (SDD) (OR = 2.97; 95% CI = 1.02 to 8.68 and OR = 4.61; 95% CI = 1.22 to 17.37), and use of quinolones (OR = 3.29; 95% CI = 1.34 to 8.10 and OR = 3.95; 95% CI = 1.13 to 13.83 and OR = 4.47; 95% CI = 1.75 to 11.43) were identified as risk factors when using both control groups. CONCLUSIONS: The network analysis indicated that the majority of transmissions occurred on the wards, but through unidentified and presumably persistent sources, which are most likely in the innate hospital environment. Previous use of certain antibiotic regimens made patients prone to VIM-PA carriage. Additionally, gastroscopy could be considered as a high-risk procedure in patients with risk factors. Our results add to the growing body of evidence that infection control measures targeting VIM-PA should be focused on reducing antibiotics and eliminating sources in the environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0325-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-27 /pmc/articles/PMC5828133/ /pubmed/29492262 http://dx.doi.org/10.1186/s13756-018-0325-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Voor in ‘t holt, Anne F.
Severin, Juliëtte A.
Hagenaars, Margot B. H.
de Goeij, Inge
Gommers, Diederik
Vos, Margreet C.
VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis
title VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis
title_full VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis
title_fullStr VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis
title_full_unstemmed VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis
title_short VIM-positive Pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis
title_sort vim-positive pseudomonas aeruginosa in a large tertiary care hospital: matched case-control studies and a network analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828133/
https://www.ncbi.nlm.nih.gov/pubmed/29492262
http://dx.doi.org/10.1186/s13756-018-0325-1
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