Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques

Abstract Nosocomial infections or hospital-acquired infections (HAIs) are common health problems affecting patients in human and animal hospitals. Herein, we hypothesised that HAIs could be spread through human and animal movement, contact with veterinary medical supplies, equipment, or instruments....

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Autores principales:	Amara Churak, Chaithep Poolkhet, Yutaka Tamura, Tomomi Sato, Akira Fukuda, Sukanya Thongratsakul
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b730c6755cb04fbe97000671435811ec
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spelling	oai:doaj.org-article:b730c6755cb04fbe97000671435811ec2021-12-02T13:57:13ZEvaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques10.1038/s41598-021-81301-92045-2322https://doaj.org/article/b730c6755cb04fbe97000671435811ec2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81301-9https://doaj.org/toc/2045-2322Abstract Nosocomial infections or hospital-acquired infections (HAIs) are common health problems affecting patients in human and animal hospitals. Herein, we hypothesised that HAIs could be spread through human and animal movement, contact with veterinary medical supplies, equipment, or instruments. We used a combination of social network analysis and genotyping techniques to find key players (or key nodes) and spread patterns using Escherichia coli as a marker. This study was implemented in the critical care unit, outpatient department, operation room, and ward of a small animal hospital. We conducted an observational study used for key player determination (or key node identification), then observed the selected key nodes twice with a one-month interval. Next, surface swabs of key nodes and their connecting nodes were analysed using bacterial identification, matrix-assisted laser desorption/ionisation-time of flight mass spectrometry, and pulsed-field gel electrophoresis. Altogether, our results showed that veterinarians were key players in this contact network in all departments. We found two predominant similarity clusters; dendrogram results suggested E. coli isolates from different time points and places to be closely related, providing evidence of HAI circulation within and across hospital departments. This study could aid in limiting the spread of HAIs in veterinary and human hospitals.Amara ChurakChaithep PoolkhetYutaka TamuraTomomi SatoAkira FukudaSukanya ThongratsakulNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amara Churak Chaithep Poolkhet Yutaka Tamura Tomomi Sato Akira Fukuda Sukanya Thongratsakul Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques
description	Abstract Nosocomial infections or hospital-acquired infections (HAIs) are common health problems affecting patients in human and animal hospitals. Herein, we hypothesised that HAIs could be spread through human and animal movement, contact with veterinary medical supplies, equipment, or instruments. We used a combination of social network analysis and genotyping techniques to find key players (or key nodes) and spread patterns using Escherichia coli as a marker. This study was implemented in the critical care unit, outpatient department, operation room, and ward of a small animal hospital. We conducted an observational study used for key player determination (or key node identification), then observed the selected key nodes twice with a one-month interval. Next, surface swabs of key nodes and their connecting nodes were analysed using bacterial identification, matrix-assisted laser desorption/ionisation-time of flight mass spectrometry, and pulsed-field gel electrophoresis. Altogether, our results showed that veterinarians were key players in this contact network in all departments. We found two predominant similarity clusters; dendrogram results suggested E. coli isolates from different time points and places to be closely related, providing evidence of HAI circulation within and across hospital departments. This study could aid in limiting the spread of HAIs in veterinary and human hospitals.
format	article
author	Amara Churak Chaithep Poolkhet Yutaka Tamura Tomomi Sato Akira Fukuda Sukanya Thongratsakul
author_facet	Amara Churak Chaithep Poolkhet Yutaka Tamura Tomomi Sato Akira Fukuda Sukanya Thongratsakul
author_sort	Amara Churak
title	Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques
title_short	Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques
title_full	Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques
title_fullStr	Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques
title_full_unstemmed	Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques
title_sort	evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b730c6755cb04fbe97000671435811ec
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Evaluation of nosocomial infections through contact patterns in a small animal hospital using social network analysis and genotyping techniques

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