Abstract

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 × 103 for 0.3 µm particles, 3.6 × 103 particles for 0.5 µm, and 3.2 × 102 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.

Details

Title
Developing a faster way to identify biocontamination in the air of controlled environment rooms with HEPA filters: airborne particle counting
Author
Figuerola-Tejerina Angels 1 ; Hernández-Aceituno, Ana 2   VIAFID ORCID Logo  ; Alemán-Vega, Guadalupe 1 ; Orille-García César 1 ; Ruiz-Álvarez, Miguel 1 ; Sandoval-Insausti, Helena 3 

 Hospital Universitario de La Princesa, Service of Preventive Medicine, Madrid, Spain (GRID:grid.411251.2) (ISNI:0000 0004 1767 647X) 
 Hospital Universitario de La Princesa, Service of Preventive Medicine, Madrid, Spain (GRID:grid.411251.2) (ISNI:0000 0004 1767 647X); Universidad Autónoma de Madrid-IdiPaz; and CIBERESP (CIBER of Epidemiology and Public Health), Department of Preventive Medicine and Public Health. School of Medicine, Madrid, Spain (GRID:grid.5515.4) (ISNI:0000000119578126) 
 Hospital Universitario de La Princesa, Service of Preventive Medicine, Madrid, Spain (GRID:grid.411251.2) (ISNI:0000 0004 1767 647X); Universidad Autónoma de Madrid-IdiPaz; and CIBERESP (CIBER of Epidemiology and Public Health), Department of Preventive Medicine and Public Health. School of Medicine, Madrid, Spain (GRID:grid.5515.4) (ISNI:0000000119578126); Harvard T.H. Chan School of Public Health, Department of Nutrition, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2354703026
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.