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Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting
Our aim was to assess whether airborne particle counting is an immediate indicator of biocontamination in controlled environment rooms with HEPA filters in a hospital. A prospective study was carried out in a tertiary care hospital between 2016 and 2018. The study was divided in two periods and the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018744/ https://www.ncbi.nlm.nih.gov/pubmed/32054928 http://dx.doi.org/10.1038/s41598-020-59367-8 |
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author | Figuerola-Tejerina, Angels Hernández-Aceituno, Ana Alemán-Vega, Guadalupe Orille-García, César Ruiz-Álvarez, Miguel Sandoval-Insausti, Helena |
author_facet | Figuerola-Tejerina, Angels Hernández-Aceituno, Ana Alemán-Vega, Guadalupe Orille-García, César Ruiz-Álvarez, Miguel Sandoval-Insausti, Helena |
author_sort | Figuerola-Tejerina, Angels |
collection | PubMed |
description | Our aim was to assess whether airborne particle counting is an immediate indicator of biocontamination in controlled environment rooms with HEPA filters in a hospital. A prospective study was carried out in a tertiary care hospital between 2016 and 2018. The study was divided in two periods and the measurements were performed in different controlled environment rooms with HEPA filters. The Environmental Biosafety Criterion (EBC) was defined as the absence of fungal and bacterial contamination. In the training period, the area under the ROC curve (aROC) of airborne particle counting and EBC was calculated for each particle size as well as the cut-off points that optimize the combination of sensitivity and specificity in the association between them. aROC is created by plotting sensitivity against 1-specificity. In the testing period, the cut-off points previously selected were validated. 328 measurements were carried out in the training period and 301 in the testing period. In the training period, an association was found between airborne particle counting and EBC. An aROC = 0.760, 95% Confidence Interval (95% CI) 0.695–0.825 was observed for 0.3 µm particles; an aROC = 0.797 (95% CI 0.734–0.860) for 0.5 µm particles; and an aROC = 0.751 (95% CI 0.673–0.829) for 5 µm particles. The cut-off points that optimized the combination of sensitivity and specificity were 9.0 × 10(3) for 0.3 µm particles, 3.6 × 10(3) particles for 0.5 µm, and 3.2 × 10(2) particles for 5 µm. In the testing period, the previous cut-off points were validated. We conclude that airborne particle counting is a useful, immediate, and preliminary measure to identify the presence of biocontamination in controlled environment rooms with HEPA filters. |
format | Online Article Text |
id | pubmed-7018744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70187442020-02-21 Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting Figuerola-Tejerina, Angels Hernández-Aceituno, Ana Alemán-Vega, Guadalupe Orille-García, César Ruiz-Álvarez, Miguel Sandoval-Insausti, Helena Sci Rep Article Our aim was to assess whether airborne particle counting is an immediate indicator of biocontamination in controlled environment rooms with HEPA filters in a hospital. A prospective study was carried out in a tertiary care hospital between 2016 and 2018. The study was divided in two periods and the measurements were performed in different controlled environment rooms with HEPA filters. The Environmental Biosafety Criterion (EBC) was defined as the absence of fungal and bacterial contamination. In the training period, the area under the ROC curve (aROC) of airborne particle counting and EBC was calculated for each particle size as well as the cut-off points that optimize the combination of sensitivity and specificity in the association between them. aROC is created by plotting sensitivity against 1-specificity. In the testing period, the cut-off points previously selected were validated. 328 measurements were carried out in the training period and 301 in the testing period. In the training period, an association was found between airborne particle counting and EBC. An aROC = 0.760, 95% Confidence Interval (95% CI) 0.695–0.825 was observed for 0.3 µm particles; an aROC = 0.797 (95% CI 0.734–0.860) for 0.5 µm particles; and an aROC = 0.751 (95% CI 0.673–0.829) for 5 µm particles. The cut-off points that optimized the combination of sensitivity and specificity were 9.0 × 10(3) for 0.3 µm particles, 3.6 × 10(3) particles for 0.5 µm, and 3.2 × 10(2) particles for 5 µm. In the testing period, the previous cut-off points were validated. We conclude that airborne particle counting is a useful, immediate, and preliminary measure to identify the presence of biocontamination in controlled environment rooms with HEPA filters. Nature Publishing Group UK 2020-02-13 /pmc/articles/PMC7018744/ /pubmed/32054928 http://dx.doi.org/10.1038/s41598-020-59367-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Figuerola-Tejerina, Angels Hernández-Aceituno, Ana Alemán-Vega, Guadalupe Orille-García, César Ruiz-Álvarez, Miguel Sandoval-Insausti, Helena Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting |
title | Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting |
title_full | Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting |
title_fullStr | Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting |
title_full_unstemmed | Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting |
title_short | Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting |
title_sort | developing a faster way to identify biocontamination in the air of controlled environment rooms with hepa filters: airborne particle counting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018744/ https://www.ncbi.nlm.nih.gov/pubmed/32054928 http://dx.doi.org/10.1038/s41598-020-59367-8 |
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