Evidence map›Paper›PMID 40143835›Full record

ArticleGHM open2023

Visualization of aerosol spread using a smoke tester during tracheal intubation performed in an operating room.

Kohshi Hattori, Asako Eriguchi, Mayuko Omori, Osamu Nagata

Abstract read
In one paragraph

Article in GHM open, 2023. 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

4 authors.

Kohshi HattoriDepartment of Anesthesiology, National Center Hospital of Global Health and Medicine, Tokyo, Japan.
Asako EriguchiDepartment of Dental Anesthesiology, Tokyo Dental College, Tokyo, Japan.
Mayuko OmoriDepartment of Anesthesiology, National Center Hospital of Global Health and Medicine, Tokyo, Japan.
Osamu NagataDepartment of Anesthesiology, National Center Hospital of Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tracheal intubation is an essential procedure in the induction of general anesthesia; however, it is also a main source of infectious aerosols such as severe acute respiratory virus 2 (SARS-CoV-2). For protection from infectious aerosols, an air conditioning system which provides continuous laminar air flow from the ceiling and a local isolating device are widely used in typical operating rooms. However, how aerosols spread in an actual operating room has not been visualized, especially during tracheal intubation. In this study, we observed the spread of aerosols under several circumstances. To recreate the scenario of general anesthesia induction, we substituted aerosol spray with smoke from a smoke tester device in the mouth of a human body model placed on the operating table. Then we measured the maximum height of aerosol spread every second for 9 seconds. To verify the contribution of air conditioning and an isolating device, we compared four situations based on their presence or absence. The maximum height of aerosol spread was significantly lower in the presence of laminar air flow from the ceiling. An isolating device contributed to initially enclosing the aerosol; however, some aerosol leaked and diffused depending on the air flow outside the device. During tracheal intubation in typical operating room, air-conditioned laminar air flow can contribute to prevent infectious aerosol spread, and an isolating device can provide supplementary protection.

Indexed as

aerosol infectionlaminar air flowoperating roomsmoke testertracheal intubation

Identifiers

PMID40143835
PMCPMC11933963

What OpenQuestion holds

Textmetadata
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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.