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Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens
Background: Hospital surfaces are known to contribute to the spread of healthcare-associated infections (HAIs). Environmental sampling is often performed to locate a reservoir or to evaluate intervention strategies in healthcare facilities. Composite sampling is commonly practiced in other fields of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594376/ http://dx.doi.org/10.1017/ash.2023.325 |
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author | Chan, Monica Noble-Wang, Judith Rose, Laura |
author_facet | Chan, Monica Noble-Wang, Judith Rose, Laura |
author_sort | Chan, Monica |
collection | PubMed |
description | Background: Hospital surfaces are known to contribute to the spread of healthcare-associated infections (HAIs). Environmental sampling is often performed to locate a reservoir or to evaluate intervention strategies in healthcare facilities. Composite sampling is commonly practiced in other fields of environmental sampling and involves collection of multiple samples combined entirely or partially to form a new sample. We compared a standard CDC surface whole-tool sampling method with a composite sampling approach. Methods: Acinetobacter baumannii (AB), Klebsiella pneumoniae that produce K. pneumoniae carbapenemase (KPC), vancomycin-resistant Enterococcus faecalis (VRE), methicillin-resistant Staphylococcus aureus (MRSA), and Clostridioides difficile spores were suspended in an artificial soil and deposited as 40 µL droplets (~104 CFU total) onto steel coupons of surface areas 323 cm(2), 645 cm(2), or 1,290 cm(2) and dried for 2 hours. The surfaces were sampled with a single pass of a cellulose sponge— either the larger side of the sponge (face) or the smaller side of the sponge (edge)—and the optimal surface area was determined. Recovery from the optimal surface area with a single pass sampling was compared to the recovery using a standard CDC method in which all sides were used (ie, whole-tool method) to sample a standard area (645 cm(2)). Recovery was determined by culture and total CFU were determined for each optimal surface area. Theoretical composites were constructed using the mean total CFU of optimal surface area; 2×((face) + (edge)). Significance was set at P ≤ .05. Results: Total CFU recovery using the whole-tool method was significantly greater than the single pass sample recovery for MRSA (18,300 vs 16,600 CFU) and VRE (27,600 vs 26,400 CFU) (P < .05). When comparing the theoretical composite method to the standard whole-tool area (625 cm(2)), the theoretical composite total CFU was significantly greater than the whole-tool method for all organisms. For example, VRE recovery with the standard CDC whole-tool method was 27,600 CFU from 625 cm(2), yet a theoretical composite approach recovered 79,800 CFU from an area of 1,290 cm(2). Conclusions: Many factors influence recovery when sampling the environment, and composite sampling is a promising approach when sampling large surface areas. Using a theoretical composite of single-pass samples, the potential for improved detection with composite sampling was demonstrated. A composite sampling approach will reduce time and resources for sampling and sample processing, allowing larger surface areas to be investigated which will improve infection control strategies. Disclosures: None |
format | Online Article Text |
id | pubmed-10594376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105943762023-10-25 Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens Chan, Monica Noble-Wang, Judith Rose, Laura Antimicrob Steward Healthc Epidemiol Implementation Science Background: Hospital surfaces are known to contribute to the spread of healthcare-associated infections (HAIs). Environmental sampling is often performed to locate a reservoir or to evaluate intervention strategies in healthcare facilities. Composite sampling is commonly practiced in other fields of environmental sampling and involves collection of multiple samples combined entirely or partially to form a new sample. We compared a standard CDC surface whole-tool sampling method with a composite sampling approach. Methods: Acinetobacter baumannii (AB), Klebsiella pneumoniae that produce K. pneumoniae carbapenemase (KPC), vancomycin-resistant Enterococcus faecalis (VRE), methicillin-resistant Staphylococcus aureus (MRSA), and Clostridioides difficile spores were suspended in an artificial soil and deposited as 40 µL droplets (~104 CFU total) onto steel coupons of surface areas 323 cm(2), 645 cm(2), or 1,290 cm(2) and dried for 2 hours. The surfaces were sampled with a single pass of a cellulose sponge— either the larger side of the sponge (face) or the smaller side of the sponge (edge)—and the optimal surface area was determined. Recovery from the optimal surface area with a single pass sampling was compared to the recovery using a standard CDC method in which all sides were used (ie, whole-tool method) to sample a standard area (645 cm(2)). Recovery was determined by culture and total CFU were determined for each optimal surface area. Theoretical composites were constructed using the mean total CFU of optimal surface area; 2×((face) + (edge)). Significance was set at P ≤ .05. Results: Total CFU recovery using the whole-tool method was significantly greater than the single pass sample recovery for MRSA (18,300 vs 16,600 CFU) and VRE (27,600 vs 26,400 CFU) (P < .05). When comparing the theoretical composite method to the standard whole-tool area (625 cm(2)), the theoretical composite total CFU was significantly greater than the whole-tool method for all organisms. For example, VRE recovery with the standard CDC whole-tool method was 27,600 CFU from 625 cm(2), yet a theoretical composite approach recovered 79,800 CFU from an area of 1,290 cm(2). Conclusions: Many factors influence recovery when sampling the environment, and composite sampling is a promising approach when sampling large surface areas. Using a theoretical composite of single-pass samples, the potential for improved detection with composite sampling was demonstrated. A composite sampling approach will reduce time and resources for sampling and sample processing, allowing larger surface areas to be investigated which will improve infection control strategies. Disclosures: None Cambridge University Press 2023-09-29 /pmc/articles/PMC10594376/ http://dx.doi.org/10.1017/ash.2023.325 Text en © The Society for Healthcare Epidemiology of America 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Implementation Science Chan, Monica Noble-Wang, Judith Rose, Laura Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens |
title | Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens |
title_full | Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens |
title_fullStr | Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens |
title_full_unstemmed | Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens |
title_short | Comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens |
title_sort | comparison of a standard environmental surface sampling method and a composite approach for select healthcare pathogens |
topic | Implementation Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594376/ http://dx.doi.org/10.1017/ash.2023.325 |
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