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New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres
BACKGROUND: It’s pivotal to control the presence of legionella in sanitary structures. So, it’s important to determine the risk factors associated with Legionella colonization in health care centres. In recent years that is why new diagnostic techniques have been developed. OBJECTIVE: To evaluate ri...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906530/ https://www.ncbi.nlm.nih.gov/pubmed/35264765 http://dx.doi.org/10.1038/s41370-022-00421-0 |
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author | Ortí-Lucas, Rafael Manuel Luciano, Eugenio |
author_facet | Ortí-Lucas, Rafael Manuel Luciano, Eugenio |
author_sort | Ortí-Lucas, Rafael Manuel |
collection | PubMed |
description | BACKGROUND: It’s pivotal to control the presence of legionella in sanitary structures. So, it’s important to determine the risk factors associated with Legionella colonization in health care centres. In recent years that is why new diagnostic techniques have been developed. OBJECTIVE: To evaluate risks factors for Legionella colonization using a novel and more sensitive Legionella positivity index. METHODS: A total of 204 one-litre water samples (102 cold water samples and 102 hot water samples), were collected from 68 different sampling sites of the hospital water system and tested for Legionella spp. by two laboratories using culture, polymerase chain reaction and a method based on immunomagnetic separation (IMS). A Legionella positivity index was defined to evaluate Legionella colonization and associated risk factors in the 68 water samples sites. We performed bivariate analyses and then logistic regression analysis with adjustment of potentially confounding variables. We compared the performance of culture and IMS methods using this index as a new gold standard to determine if rapid IMS method is an acceptable alternative to the use of slower culture method. RESULTS: Based on the new Legionella positivity index, no statistically significant differences were found neither between laboratories nor between methods (culture, IMS). Positivity was significantly correlated with ambulatory health assistance (p = 0.05) and frequency of use of the terminal points. The logistic regression model revealed that chlorine (p = 0.009) and the frequency of use of the terminal points (p = 0.001) are predictors of Legionella colonization. Regarding this index, the IMS method proved more sensitive (69%) than culture method (65.4%) in hot water samples. SIGNIFICANCE: We showed that the frequency of use of terminal points should be considered when examining environmental Legionella colonization, which can be better evaluated using the provided Legionella positivity index. This study has implications for the prevention of Legionnaires’ disease in hospital settings. |
format | Online Article Text |
id | pubmed-8906530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-89065302022-03-10 New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres Ortí-Lucas, Rafael Manuel Luciano, Eugenio J Expo Sci Environ Epidemiol Article BACKGROUND: It’s pivotal to control the presence of legionella in sanitary structures. So, it’s important to determine the risk factors associated with Legionella colonization in health care centres. In recent years that is why new diagnostic techniques have been developed. OBJECTIVE: To evaluate risks factors for Legionella colonization using a novel and more sensitive Legionella positivity index. METHODS: A total of 204 one-litre water samples (102 cold water samples and 102 hot water samples), were collected from 68 different sampling sites of the hospital water system and tested for Legionella spp. by two laboratories using culture, polymerase chain reaction and a method based on immunomagnetic separation (IMS). A Legionella positivity index was defined to evaluate Legionella colonization and associated risk factors in the 68 water samples sites. We performed bivariate analyses and then logistic regression analysis with adjustment of potentially confounding variables. We compared the performance of culture and IMS methods using this index as a new gold standard to determine if rapid IMS method is an acceptable alternative to the use of slower culture method. RESULTS: Based on the new Legionella positivity index, no statistically significant differences were found neither between laboratories nor between methods (culture, IMS). Positivity was significantly correlated with ambulatory health assistance (p = 0.05) and frequency of use of the terminal points. The logistic regression model revealed that chlorine (p = 0.009) and the frequency of use of the terminal points (p = 0.001) are predictors of Legionella colonization. Regarding this index, the IMS method proved more sensitive (69%) than culture method (65.4%) in hot water samples. SIGNIFICANCE: We showed that the frequency of use of terminal points should be considered when examining environmental Legionella colonization, which can be better evaluated using the provided Legionella positivity index. This study has implications for the prevention of Legionnaires’ disease in hospital settings. Nature Publishing Group US 2022-03-09 2022 /pmc/articles/PMC8906530/ /pubmed/35264765 http://dx.doi.org/10.1038/s41370-022-00421-0 Text en © The Author(s), under exclusive licence to Springer Nature America, Inc. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ortí-Lucas, Rafael Manuel Luciano, Eugenio New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres |
title | New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres |
title_full | New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres |
title_fullStr | New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres |
title_full_unstemmed | New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres |
title_short | New immunomagnetic separation method to analyze risk factors for Legionella colonization in health care centres |
title_sort | new immunomagnetic separation method to analyze risk factors for legionella colonization in health care centres |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906530/ https://www.ncbi.nlm.nih.gov/pubmed/35264765 http://dx.doi.org/10.1038/s41370-022-00421-0 |
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