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1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods
BACKGROUND: The use of environmental sampling to surveil the healthcare environment for invasive fungal species to prevent or respond to outbreaks is limited due to the absence of established threshold values and standard practices. This study aims to fill this gap by comparing sampling and detectio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677960/ http://dx.doi.org/10.1093/ofid/ofad500.1257 |
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author | Warren, Bobby G Graves, Amanda M Barrett, Aaron Nelson, Alicia Stiegel, Matthew Smith, Becky A Schwartz, Ilan Anderson, Deverick J |
author_facet | Warren, Bobby G Graves, Amanda M Barrett, Aaron Nelson, Alicia Stiegel, Matthew Smith, Becky A Schwartz, Ilan Anderson, Deverick J |
author_sort | Warren, Bobby G |
collection | PubMed |
description | BACKGROUND: The use of environmental sampling to surveil the healthcare environment for invasive fungal species to prevent or respond to outbreaks is limited due to the absence of established threshold values and standard practices. This study aims to fill this gap by comparing sampling and detection methods in a controlled experimental setting. METHODS: We compared the sampling efficacy of commonly used healthcare sampling techniques and the detection efficacy of culture-based and qPCR quantification on common healthcare surface materials. The primary outcome was recovery of organisms, defined as total recovered CFU compared to known inoculum CFU. Mock 10x10cm study surfaces (aluminum, formica, linen, and HEPA material) were inoculated with ∼10(4) CFU of Aspergillus fumigatus or Candida parapsilosis and allowed to air dry. Foam sponges and flocked swabs pre-moistened with neutralizing buffer were used to sample the complete surface area of surfaces. RODAC plates filled with species-specific media were pressed to the middle of the study surface and removed. Sponges were processed using the stomacher technique and swabs were vortexed in PBS. Eluents from sponges and swabs were used for both culture-based quantification and qPCR using FungiQuant primers and probe for the fungal 18S rRNA gene. RESULTS: 20 experiments were completed for each combination of species (n=2), study surface (n=4), sampling method (n=3) and quantification method (n=2) resulting in 960 total samples. Overall, median percent recovery for culture-based and qPCR-based detection methods were 6.4% (IQR: 2.8-12.9) and 26.7% (10.5-48.1), respectively, (p< 0.01). Median percent recovery for sponges and swabs were 17.9% (11.4-30.0) and 3.8% (1.9-6.7) via culture (p< 0.01) and 36.2% (25.7-78.4) and 10.5% (7.7-36.0) via qPCR (p< 0.01). RODAC median percent recovery via culture was 3.4% (1.0-7.1). Fungal Recovery Characteristics by Fungal Species and Sample and Detection Methodology [Figure: see text] CONCLUSION: qPCR-based detection had the highest median percent recovery compared to culture-based detection overall, regardless of sample method or study surface. Sponge samples had the highest median percent recovery for both culture- and qPCR-based detection methods, overall. Future studies are needed to assess our study’s identified optimized sample collection and detection techniques in a real-world healthcare environment. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-10677960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106779602023-11-27 1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods Warren, Bobby G Graves, Amanda M Barrett, Aaron Nelson, Alicia Stiegel, Matthew Smith, Becky A Schwartz, Ilan Anderson, Deverick J Open Forum Infect Dis Abstract BACKGROUND: The use of environmental sampling to surveil the healthcare environment for invasive fungal species to prevent or respond to outbreaks is limited due to the absence of established threshold values and standard practices. This study aims to fill this gap by comparing sampling and detection methods in a controlled experimental setting. METHODS: We compared the sampling efficacy of commonly used healthcare sampling techniques and the detection efficacy of culture-based and qPCR quantification on common healthcare surface materials. The primary outcome was recovery of organisms, defined as total recovered CFU compared to known inoculum CFU. Mock 10x10cm study surfaces (aluminum, formica, linen, and HEPA material) were inoculated with ∼10(4) CFU of Aspergillus fumigatus or Candida parapsilosis and allowed to air dry. Foam sponges and flocked swabs pre-moistened with neutralizing buffer were used to sample the complete surface area of surfaces. RODAC plates filled with species-specific media were pressed to the middle of the study surface and removed. Sponges were processed using the stomacher technique and swabs were vortexed in PBS. Eluents from sponges and swabs were used for both culture-based quantification and qPCR using FungiQuant primers and probe for the fungal 18S rRNA gene. RESULTS: 20 experiments were completed for each combination of species (n=2), study surface (n=4), sampling method (n=3) and quantification method (n=2) resulting in 960 total samples. Overall, median percent recovery for culture-based and qPCR-based detection methods were 6.4% (IQR: 2.8-12.9) and 26.7% (10.5-48.1), respectively, (p< 0.01). Median percent recovery for sponges and swabs were 17.9% (11.4-30.0) and 3.8% (1.9-6.7) via culture (p< 0.01) and 36.2% (25.7-78.4) and 10.5% (7.7-36.0) via qPCR (p< 0.01). RODAC median percent recovery via culture was 3.4% (1.0-7.1). Fungal Recovery Characteristics by Fungal Species and Sample and Detection Methodology [Figure: see text] CONCLUSION: qPCR-based detection had the highest median percent recovery compared to culture-based detection overall, regardless of sample method or study surface. Sponge samples had the highest median percent recovery for both culture- and qPCR-based detection methods, overall. Future studies are needed to assess our study’s identified optimized sample collection and detection techniques in a real-world healthcare environment. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10677960/ http://dx.doi.org/10.1093/ofid/ofad500.1257 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Warren, Bobby G Graves, Amanda M Barrett, Aaron Nelson, Alicia Stiegel, Matthew Smith, Becky A Schwartz, Ilan Anderson, Deverick J 1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods |
title | 1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods |
title_full | 1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods |
title_fullStr | 1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods |
title_full_unstemmed | 1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods |
title_short | 1420. Optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods |
title_sort | 1420. optimizing the detection of environmental fungal contamination by comparing sample collection and detection methods |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677960/ http://dx.doi.org/10.1093/ofid/ofad500.1257 |
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