Evidence map›Paper›PMID 29666961›Full record

ArticleAnnals of intensive care2018

A novel sampling method to detect airborne influenza and other respiratory viruses in mechanically ventilated patients: a feasibility study.

Alicia B Mitchell, Benjamin Tang, Maryam Shojaei, Lachlan S Barnes, Marek Nalos, Brian G Oliver, Anthony S McLean

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Alicia B MitchellSchool of Life Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia. amit9422@uni.sydney.edu.au.ORCID http://orcid.org/0000-0002-9086-1589
Benjamin TangDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Maryam ShojaeiDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Lachlan S BarnesNepean Clinical School, Faculty of Medicine, University of Sydney, Sydney, Australia.
Marek NalosDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Brian G OliverSchool of Life Sciences, University of Technology Sydney, Sydney, NSW, 2007, Australia.
Anthony S McLeanDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Nepean Hospital · AUUniversity of Technology Sydney · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory 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.

methodsWe 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.

resultsRespiratory 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).

conclusionsRespiratory 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.

Indexed as

AirborneInfluenzaIntensive care unitVentilatorVirus

Identifiers

PMID29666961
PMCPMC5904094
OpenAlexW2799589669

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.