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Characterization of aerosols generated during suspected aerosol-generating procedures in healthcare settings

Published online by Cambridge University Press:  21 May 2026

Caroline A. O’Neil
Affiliation:
Washington University In St Louis: Washington University in St Louis, USA
Jiayu Li
Affiliation:
University of Miami College of Engineering, USA
Meghan A. Wallace
Affiliation:
Washington University In St Louis: Washington University in St Louis, USA
Ramesh Raliya
Affiliation:
Washington University In St Louis: Washington University in St Louis, USA
Yang Wang
Affiliation:
University of Miami College of Engineering, USA
Anna Leavey
Affiliation:
Washington University In St Louis: Washington University in St Louis, USA
Traci L. Bricker
Affiliation:
Washington University In St Louis: Washington University in St Louis, USA
Carey-Ann D. Burnham
Affiliation:
Washington University In St Louis: Washington University in St Louis, USA
Adrianus C.M. Boon
Affiliation:
Washington University In St Louis: Washington University in St Louis, USA
Pratim Biswas
Affiliation:
University of Miami College of Engineering, USA
Hilary M. Babcock*
Affiliation:
Infectious Disease, Washington University School of Medicine, St Louis, USA
*
Corresponding author: Hilary M. Babcock; Email: hbabcock@wustl.edu

Abstract

Objective:

To measure aerosol generation during various medical procedures that are potentially aerosol generating and determine whether these aerosols contain viral and/or bacterial pathogens that may pose a risk to healthcare personnel.

Design:

Observational.

Setting:

Tertiary care academic hospital.

Patients:

Convenience sample of adult patients undergoing one of the following procedures: extubation, bronchoscopy, mechanical ventilation, noninvasive ventilation, suctioning, nebulized medication administration (NMA), sputum induction, nasopharyngeal swab, or tracheostomy change.

Methods:

Four aerosol characterization instruments measured aerosol characteristics (particle mass, number, size); average baseline and procedure measurements were compared to identify changes in aerosolized particles associated with each type of procedure. SKC BioSamplers were used for viral and bacterial pathogen recovery. Clinical data were reviewed to examine patient characteristics that might impact pathogen recovery.

Results:

Among 93 sampled procedures, differences between baseline versus procedure measurements were only notable for NMA and sputum induction. Smaller increases in some particle measurements were observed for the single extubation sample. None of the 248 BioSampler specimens were positive for a respiratory virus, even though for 39 procedures, the patient had a recent clinical specimen that was positive for a respiratory virus. Thirty-two samples (13%) had positive bacterial cultures, all of which represented common skin/environmental contaminants or upper respiratory microbiota.

Conclusions:

In this study, significant aerosol generation was only observed during NMA and sputum induction. No viral pathogens and minimal bacteria were recovered from these medically generated aerosols. These data suggest that some procedures that are considered “aerosol-generating” may pose little infectious risk to healthcare personnel.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Figure 1. Percent increase in average procedure versus average baseline measurements of particle mass concentration (PM2.5) (a), particle number concentration (b), and particle surface area deposition, alveolar range, (c) by type of procedure. For continuous procedures (mechanical ventilation and noninvasive ventilation), average procedure measurements were compared to an overall average of baseline measurements from the other procedures. Key for the boxplots: top x = maximum value, top line = 95th percentile, top of box = 75th percentile, middle line in box = median, black square = mean; bottom of box = 25th percentile, bottom line = 5th percentile, and bottom x = minimum value. Only surface area measurements were available for the tracheostomy change procedure. Particle mass data was not available for the NP swab procedure. Note: both linear and logarithmic scales were used to better show the whole span of data.

Figure 1

Figure 2. Average size distribution of detectable particles for baseline and procedure samples by type of procedure. For continuous procedures (mechanical ventilation and noninvasive ventilation), average procedure measurements were compared to an overall average of baseline measurements from the other procedures. The Y-axis shows particle quantity, while the X-axis shows particle size in microns. Note: scale of the Y-axis varies; data have been cropped at 2.5 µm to better show the peak.

Figure 2

Table 1. Respiratory symptoms reported by and medications taken by patients with versus without a clinical sample positive for influenza or another respiratory virus in the 7 days before/after aerosol sampling

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