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The Relationship between Bacterial Load and Initial Run Time of a Surgical Helmet
BACKGROUND: Periprosthetic joint infection (PJI) is a complication of arthroplasty surgery with significant morbidity and mortality. Surgical helmets are a possible source of infection. Pre-existing dust and microorganisms on its surface may be blown into the surgical field by the helmet ventilation...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720822/ https://www.ncbi.nlm.nih.gov/pubmed/36479144 http://dx.doi.org/10.1177/24715492221142688 |
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author | Lynch, Brian C Swanson, David R Marmor, William A Gibb, Bryan Komatsu, David E Wang, Edward D |
author_facet | Lynch, Brian C Swanson, David R Marmor, William A Gibb, Bryan Komatsu, David E Wang, Edward D |
author_sort | Lynch, Brian C |
collection | PubMed |
description | BACKGROUND: Periprosthetic joint infection (PJI) is a complication of arthroplasty surgery with significant morbidity and mortality. Surgical helmets are a possible source of infection. Pre-existing dust and microorganisms on its surface may be blown into the surgical field by the helmet ventilation system. METHODS: Twenty surgical helmets at our institution were assessed through microscopy and polymerase chain reaction testing. Helmets were arranged with agar plates under the front and rear outflow vents. Helmets ran while plates were exchanged at different time points. Bacterial growth was assessed via colony counts and correlated with fan operating time. Gram staining and 16S sequencing were performed to identify bacterial species. RESULTS: The primary microbiological contaminate identified was Burkholderia. There was an inverse relationship between colony formation and fan operating time. The highest number of colonies was found within the first minute of fan operating time. There was a significant decrease in the number of colonies formed from the zero-minute to the three (27 vs 5; P = <.01), four (27 vs 3; P = <.01), and five-minute (27 vs 4; P = <.01) time points for the front outflow plates. A significant difference was also observed between the one-minute and four-minute time points (P = .046). CONCLUSION: We observed an inverse relationship between bacterial spread helmet fan operation time, which may correlate with dispersion of pre-existing contaminates. To decrease contamination risk, we recommend that helmets are run for at least 3 min prior to entering the operating room. |
format | Online Article Text |
id | pubmed-9720822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-97208222022-12-06 The Relationship between Bacterial Load and Initial Run Time of a Surgical Helmet Lynch, Brian C Swanson, David R Marmor, William A Gibb, Bryan Komatsu, David E Wang, Edward D J Shoulder Elb Arthroplast Original Scientific Research BACKGROUND: Periprosthetic joint infection (PJI) is a complication of arthroplasty surgery with significant morbidity and mortality. Surgical helmets are a possible source of infection. Pre-existing dust and microorganisms on its surface may be blown into the surgical field by the helmet ventilation system. METHODS: Twenty surgical helmets at our institution were assessed through microscopy and polymerase chain reaction testing. Helmets were arranged with agar plates under the front and rear outflow vents. Helmets ran while plates were exchanged at different time points. Bacterial growth was assessed via colony counts and correlated with fan operating time. Gram staining and 16S sequencing were performed to identify bacterial species. RESULTS: The primary microbiological contaminate identified was Burkholderia. There was an inverse relationship between colony formation and fan operating time. The highest number of colonies was found within the first minute of fan operating time. There was a significant decrease in the number of colonies formed from the zero-minute to the three (27 vs 5; P = <.01), four (27 vs 3; P = <.01), and five-minute (27 vs 4; P = <.01) time points for the front outflow plates. A significant difference was also observed between the one-minute and four-minute time points (P = .046). CONCLUSION: We observed an inverse relationship between bacterial spread helmet fan operation time, which may correlate with dispersion of pre-existing contaminates. To decrease contamination risk, we recommend that helmets are run for at least 3 min prior to entering the operating room. SAGE Publications 2022-12-01 /pmc/articles/PMC9720822/ /pubmed/36479144 http://dx.doi.org/10.1177/24715492221142688 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Scientific Research Lynch, Brian C Swanson, David R Marmor, William A Gibb, Bryan Komatsu, David E Wang, Edward D The Relationship between Bacterial Load and Initial Run Time of a Surgical Helmet |
title | The Relationship between Bacterial Load and Initial Run Time of a
Surgical Helmet |
title_full | The Relationship between Bacterial Load and Initial Run Time of a
Surgical Helmet |
title_fullStr | The Relationship between Bacterial Load and Initial Run Time of a
Surgical Helmet |
title_full_unstemmed | The Relationship between Bacterial Load and Initial Run Time of a
Surgical Helmet |
title_short | The Relationship between Bacterial Load and Initial Run Time of a
Surgical Helmet |
title_sort | relationship between bacterial load and initial run time of a
surgical helmet |
topic | Original Scientific Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720822/ https://www.ncbi.nlm.nih.gov/pubmed/36479144 http://dx.doi.org/10.1177/24715492221142688 |
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