Evidence map›Paper›PMID 41371904›Full record

Observational studyBMJ open respiratory research2025

Determinants of respiratory tract aerosol generation in a diverse clinical population: an observational study.

George W Nava, Alicja Szczepanska, Liji Ng, Sharzib Khan, Fergus Hamilton, Rachel Scott, Umair Mahmud, AERATOR group, Dinesh Saralaya, Nick Maskell and 3 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

George W Nava *Academic Respiratory Unit, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-7153-8065
Alicja Szczepanska *School of Chemistry, University of Bristol, Bristol, UK.
Liji NgBradford Institute for Health Research, Bradford, UK.
Sharzib KhanBradford Institute for Health Research, Bradford, UK.
Fergus HamiltonAcademic Respiratory Unit, University of Bristol, Bristol, UK.
Rachel ScottAcademic Respiratory Unit, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-4506-1945
Umair MahmudBradford Institute for Health Research, Bradford, UK.
AERATOR group
Dinesh SaralayaBradford Institute for Health Research, Bradford, UK.
Nick MaskellAcademic Respiratory Unit, University of Bristol, Bristol, UK.
Jonathan P ReidSchool of Chemistry, University of Bristol, Bristol, UK.
Bryan R BzdekSchool of Chemistry, University of Bristol, Bristol, UK.
James W DoddAcademic Respiratory Unit, University of Bristol, Bristol, UK james.dodd@bristol.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleRespiratory tract infections are transmitted in part by infectious aerosol. Developing a greater understanding of how clinical and demographic factors affect aerosol generation could help to identify airborne infection 'superspreaders'.

objectivesTo measure respiratory aerosol from a diverse clinical population, exploring the impact of demographics, physiological factors and disease status.

methodsWe recruited people with chronic lung disease, respiratory infection and healthy volunteers. We sampled aerosol from an enclosed circuit to exclude background non-respiratory aerosol, uniquely enabling bedside measurements of respiratory aerosol generation from an unwell population, while participants performed simple manoeuvres such as speaking and coughing. MEASUREMENTS AND MAIN

resultsAcross 128 participants, we detected lower aerosol generation among patients with a lung disease during a forced expiratory manoeuvre. This is likely to be related to differences in forced exhalation rather than demographic or clinical status. We observed a 500-fold variation in peak aerosol production when coughing. There was an association between aerosol generation and higher body mass index during coughing, but not with other clinical or demographic factors, and most of the variation remained unexplained.

conclusionsOur measurement of respiratory aerosol generation from patients with lung disease and infection is comparable with those published previously for healthy subjects. The amount of aerosol generation across the studied population was most closely linked with expiratory flow. While we observed variation in respiratory aerosol generation between participants in a clinical environment, there was no meaningful impact of demographics or respiratory disease on aerosol generation.

Indexed as

Respiratory Aerosols and DropletsRespiratory Tract InfectionsAdultAerosolsAgedCoughFemaleHumansMaleMiddle AgedAerosolsInfection ControlRespiratory Infection

Identifiers

PMID41371904
PMCPMC12699571

What OpenQuestion holds

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Registered trials

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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.