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A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study
BACKGROUND: Respiratory viruses circulate constantly in the ambient air. The risk of opportunistic infection from these viruses can be increased in mechanically ventilated patients. The present study evaluates the feasibility of detecting airborne respiratory viruses in mechanically ventilated patie...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904094/ https://www.ncbi.nlm.nih.gov/pubmed/29666961 http://dx.doi.org/10.1186/s13613-018-0396-4 |
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author | Mitchell, Alicia B. Tang, Benjamin Shojaei, Maryam Barnes, Lachlan S. Nalos, Marek Oliver, Brian G. McLean, Anthony S. |
author_facet | Mitchell, Alicia B. Tang, Benjamin Shojaei, Maryam Barnes, Lachlan S. Nalos, Marek Oliver, Brian G. McLean, Anthony S. |
author_sort | Mitchell, Alicia B. |
collection | PubMed |
description | BACKGROUND: Respiratory viruses circulate constantly in the ambient air. The risk of opportunistic infection from these viruses can be increased in mechanically ventilated patients. The present study evaluates the feasibility of detecting airborne respiratory viruses in mechanically ventilated patients using a novel sample collection method involving ventilator filters. METHODS: We collected inspiratory and expiratory filters from the ventilator circuits of mechanically ventilated patients in an intensive care unit over a 14-month period. To evaluate whether we could detect respiratory viruses collected in these filters, we performed a reverse transcription polymerase chain reaction on the extracted filter membrane with primers specific for rhinovirus, respiratory syncytial virus, influenza virus A and B, parainfluenza virus (type 1, 2 and 3) and human metapneumovirus. For each patient, we also performed a full virology screen (virus particles, antibody titres and virus-induced biomarkers) on respiratory samples (nasopharyngeal swab, tracheal aspirate or bronchoalveolar fluid) and blood samples. RESULTS: Respiratory viruses were detected in the ventilator filters of nearly half the patients in the study cohort (n = 33/70). The most common virus detected was influenza A virus (n = 29). There were more viruses detected in the inspiratory filters (n = 18) than in the expiratory filters (n = 15). A third of the patients with a positive virus detection in the ventilator filters had a hospital laboratory confirmed viral infection. In the remaining cases, the detected viruses were different from viruses already identified in the same patient, suggesting that these additional viruses come from the ambient air or from cross-contamination (staff or visitors). In patients in whom new viruses were detected in the ventilator filters, there was no evidence of clinical signs of an active viral infection. Additionally, the levels of virus-induced biomarker in these patients were not statistically different from those of non-infected patients (p = 0.33). CONCLUSIONS: Respiratory viruses were present within the ventilator circuits of patients receiving mechanical ventilation. Although no adverse clinical effect was evident in these patients, further studies are warranted, given the small sample size of the study and the recognition that ventilated patients are potentially susceptible to opportunistic infection from airborne respiratory viruses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13613-018-0396-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5904094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59040942018-04-30 A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study Mitchell, Alicia B. Tang, Benjamin Shojaei, Maryam Barnes, Lachlan S. Nalos, Marek Oliver, Brian G. McLean, Anthony S. Ann Intensive Care Research BACKGROUND: Respiratory viruses circulate constantly in the ambient air. The risk of opportunistic infection from these viruses can be increased in mechanically ventilated patients. The present study evaluates the feasibility of detecting airborne respiratory viruses in mechanically ventilated patients using a novel sample collection method involving ventilator filters. METHODS: We collected inspiratory and expiratory filters from the ventilator circuits of mechanically ventilated patients in an intensive care unit over a 14-month period. To evaluate whether we could detect respiratory viruses collected in these filters, we performed a reverse transcription polymerase chain reaction on the extracted filter membrane with primers specific for rhinovirus, respiratory syncytial virus, influenza virus A and B, parainfluenza virus (type 1, 2 and 3) and human metapneumovirus. For each patient, we also performed a full virology screen (virus particles, antibody titres and virus-induced biomarkers) on respiratory samples (nasopharyngeal swab, tracheal aspirate or bronchoalveolar fluid) and blood samples. RESULTS: Respiratory viruses were detected in the ventilator filters of nearly half the patients in the study cohort (n = 33/70). The most common virus detected was influenza A virus (n = 29). There were more viruses detected in the inspiratory filters (n = 18) than in the expiratory filters (n = 15). A third of the patients with a positive virus detection in the ventilator filters had a hospital laboratory confirmed viral infection. In the remaining cases, the detected viruses were different from viruses already identified in the same patient, suggesting that these additional viruses come from the ambient air or from cross-contamination (staff or visitors). In patients in whom new viruses were detected in the ventilator filters, there was no evidence of clinical signs of an active viral infection. Additionally, the levels of virus-induced biomarker in these patients were not statistically different from those of non-infected patients (p = 0.33). CONCLUSIONS: Respiratory viruses were present within the ventilator circuits of patients receiving mechanical ventilation. Although no adverse clinical effect was evident in these patients, further studies are warranted, given the small sample size of the study and the recognition that ventilated patients are potentially susceptible to opportunistic infection from airborne respiratory viruses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13613-018-0396-4) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-04-17 /pmc/articles/PMC5904094/ /pubmed/29666961 http://dx.doi.org/10.1186/s13613-018-0396-4 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. |
spellingShingle | Research Mitchell, Alicia B. Tang, Benjamin Shojaei, Maryam Barnes, Lachlan S. Nalos, Marek Oliver, Brian G. McLean, Anthony S. A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study |
title | A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study |
title_full | A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study |
title_fullStr | A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study |
title_full_unstemmed | A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study |
title_short | A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study |
title_sort | novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904094/ https://www.ncbi.nlm.nih.gov/pubmed/29666961 http://dx.doi.org/10.1186/s13613-018-0396-4 |
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