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Minimising aerosol spread during endoscopic sinus and skull base surgery. Experimental model evaluation of the efficacy of the microscope drape method

Published online by Cambridge University Press:  14 September 2020

D Ioannidis ,
A Tsagkovits  and
A Rokade
D Ioannidis*
Affiliation:
ENT Department, Royal Hampshire County Hospital, Hampshire Hospitals NHS Foundation Trust, Winchester, UK
A Tsagkovits
Affiliation:
ENT Department, Royal Hampshire County Hospital, Hampshire Hospitals NHS Foundation Trust, Winchester, UK
A Rokade
Affiliation:
ENT Department, Royal Hampshire County Hospital, Hampshire Hospitals NHS Foundation Trust, Winchester, UK
*
Author for correspondence: Mr D Ioannidis, ENT Department, Royal Hampshire County Hospital, Romsey Road, WinchesterSO22 5DG, UK E-mail: [email protected]
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Abstract

Background

Endoscopic sinus and anterior skull base surgery is considered particularly high risk for severe acute respiratory syndrome coronavirus-2 transmission in the operating theatre setting. In this context, the use of a microscope drape method is proposed, to minimise aerosol spread in the wider operating theatre environment.

Methods

The efficacy of the method is assessed with a simulation model, using a CMI Concept Air Trace MK2 smoke generator for aerosol generation and a Fluke 985 air particle counter to measure air particles sized 0.3–10 μm in the operating theatre environment.

Results

Aerosol spread was contained almost to baseline levels with the application of the drape barrier and the negative pressure created using suction within the drape.

Conclusion

The method is an efficient adjunct that could reduce the risk of aerosol shedding and viral transmission to the operating theatre team. It potentially allows faster operating theatre turnover and more liberal use of powered instruments during endonasal surgery.

Keywords

Nasal Surgical Procedures AerosolsCoronavirus
Type
Main Articles
Information
The Journal of Laryngology & Otology , Volume 134 , Issue 9 , September 2020 , pp. 804 - 810
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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Footnotes

Mr D Ioannidis takes responsibility for the integrity of the content of the paper

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