Evidence map›Paper›PMID 36566031›Full record

ArticleRespiratory care2023

Characterization of SARS-CoV-2 Aerosols Dispersed During Noninvasive Respiratory Support of Patients With COVID-19.

Meghan E Ramsey, Anthony J Faugno, Wendy B Puryear, Brian C Lee, Alexa D Foss, Lester H Lambert, Frances E Nargi, Gregory P Bopp, Lauren P Lee, Christina M Rudzinski and 3 more

Open access · greenAbstract read
In one paragraph

Article in Respiratory care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
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

13 authors at 3 institutions in 1 country.

Meghan E RamseyBiotechnology and Human Systems Division, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts.
Anthony J FaugnoCritical Care and Sleep Division, Tufts Medical Center, Boston, Massachusetts.
Wendy B PuryearCummings School of Veterinary Medicine, Tufts University, Grafton, Massachusetts.
Brian C LeeBiotechnology and Human Systems Division, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts.
Alexa D FossCummings School of Veterinary Medicine, Tufts University, Grafton, Massachusetts.
Lester H LambertCritical Care and Sleep Division, Tufts Medical Center, Boston, Massachusetts.
Frances E NargiBiotechnology and Human Systems Division, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts.
Gregory P BoppBiotechnology and Human Systems Division, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts.
Lauren P LeeBiotechnology and Human Systems Division, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts.
Christina M RudzinskiBiotechnology and Human Systems Division, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts.
Benjamin L ErvinBiotechnology and Human Systems Division, Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts.
Jonathan A RunstadlerCummings School of Veterinary Medicine, Tufts University, Grafton, Massachusetts.
Nicholas S HillCritical Care and Sleep Division, Tufts Medical Center, Boston, Massachusetts. nhill@tuftsmedicalcenter.org.
MIT Lincoln Laboratory · USTufts Medical Center · USTufts University · US

Funding

NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

backgroundIn the midst of the COVID-19 pandemic, noninvasive respiratory support (NRS) therapies such as high-flow nasal cannula (HFNC) and noninvasive ventilation (NIV) were central to respiratory care. The extent to which these treatments increase the generation and dispersion of infectious respiratory aerosols is not fully understood. The objective of this study was to characterize SARS-CoV-2 aerosol dispersion from subjects with COVID-19 undergoing NRS therapy.

methodsSeveral different aerosol sampling devices were used to collect air samples in the vicinity of 31 subjects with COVID-19, most of whom were receiving NRS therapy, primarily HFNC. Aerosols were collected onto filters and analyzed for the presence of SARS-CoV-2 RNA. Additional measurements were collected in an aerosol chamber with healthy adult subjects using respiratory therapy devices under controlled and reproducible conditions.

resultsFifty aerosol samples were collected from subjects receiving HFNC or NIV therapy, whereas 6 samples were collected from subjects not receiving NRS. Only 4 of the 56 aerosol samples were positive for SARS-CoV-2 RNA, and all positive samples were collected using a high air flow scavenger mask collection device placed in close proximity to the subject. The chamber measurements with healthy subjects did not show any significant increase in aerosol dispersion caused by the respiratory therapy devices compared to baseline.

conclusionsOur findings demonstrate very limited detection of SARS-CoV-2-containing aerosols in the vicinity of subjects with COVID-19 receiving NRS therapies in the clinical setting. These results, combined with controlled chamber measurements showing that HFNC and NIV device usage was not associated with increased aerosol dispersion, suggest that NRS therapies do not result in increased dispersal of aerosols in the clinical setting.

Indexed as

COVID-19Noninvasive VentilationAdultCannulaHumansOxygen Inhalation TherapyPandemicsRespiratory Aerosols and DropletsRNA, ViralSARS-CoV-2RNA, Viralaerosolcommunicable diseasesCOVID-19critical carenoninvasive ventilationtransmission

Identifiers

PMID36566031
PMCPMC9993517
OpenAlexW4312210503

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.