A transversal overview of Intensive Care Units environmental microbiome and antimicrobial resistance profile in Brazil
Abstract Introduction Infections acquired during healthcare setting stay pose significant public health threats. These infections are known as Healthcare-Associated Infections (HAI), mostly caused by pathogenic bacteria, which exhibit a wide range of antimicrobial resistance.Objective Characterize the microbiome and antimicrobial resistance genes present in high-touch Intensive Care Unit (ICU) surfaces, and to identify the potential contamination of the sanitizers/processes used to clean hospital surfaces.Methods In this national, multicenter, observational, and prospective cohort, bacterial profiles and antimicrobial resistance genes from 41 hospitals across 16 Brazilian states were evaluated. Using high-throughput 16S rRNA amplicon sequencing and real-time PCR, the bacterial abundance and resistance genes presence were analyzed in both ICU environments and cleaning products.Results We identified a wide diversity of microbial populations with a recurring presence of HAI-related bacteria among most of the hospitals. The median bacterial positivity rate in surface samples was high (88.24%), varying from 21.62% to 100% in different hospitals. Hospitals with the highest bacterial load in samples were also the ones with highest HAI-related abundances.Streptococcus spp,Corynebacterium spp,Staphylococcus spp,Bacillus spp,Acinetobacter spp,and bacteria from the Flavobacteriaceae family were the microorganisms most found across all hospitals. Despite each hospital particularities in bacterial composition, clustering profiles were found for surfaces and locations in the ICU. Antimicrobial resistance genesmecA,blaKPC-like,blaNDM-like, andblaOXA-23-likewere the most frequently detected in surface samples. A wide variety of sanitizers were collected, with 19 different active principles in-use, and 21% of the solutions collected showed viable bacterial growth with antimicrobial resistance genes detected.Conclusion This study demonstrated a diverse and spread pattern of bacteria and antimicrobial resistance genes covering a large part of the national territory in ICU surface samples and in sanitizers solutions. This data should contribute to the adoption of surveillance programs to improve HAI control strategies and demonstrate that large-scale epidemiology studies must be performed to further understand the implications of bacterial contamination in hospital surfaces and sanitizer solutions..
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Preprint| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
bioRxiv.org - (2024) vom: 01. Feb. Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
de Bastiani, Daniela Carolina [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.1101/2024.01.29.24301943 |
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| PPN (Katalog-ID): |
XBI042349389 |
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| 245 | 1 | 0 | |a A transversal overview of Intensive Care Units environmental microbiome and antimicrobial resistance profile in Brazil |
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| 520 | |a Abstract Introduction Infections acquired during healthcare setting stay pose significant public health threats. These infections are known as Healthcare-Associated Infections (HAI), mostly caused by pathogenic bacteria, which exhibit a wide range of antimicrobial resistance.Objective Characterize the microbiome and antimicrobial resistance genes present in high-touch Intensive Care Unit (ICU) surfaces, and to identify the potential contamination of the sanitizers/processes used to clean hospital surfaces.Methods In this national, multicenter, observational, and prospective cohort, bacterial profiles and antimicrobial resistance genes from 41 hospitals across 16 Brazilian states were evaluated. Using high-throughput 16S rRNA amplicon sequencing and real-time PCR, the bacterial abundance and resistance genes presence were analyzed in both ICU environments and cleaning products.Results We identified a wide diversity of microbial populations with a recurring presence of HAI-related bacteria among most of the hospitals. The median bacterial positivity rate in surface samples was high (88.24%), varying from 21.62% to 100% in different hospitals. Hospitals with the highest bacterial load in samples were also the ones with highest HAI-related abundances.Streptococcus spp,Corynebacterium spp,Staphylococcus spp,Bacillus spp,Acinetobacter spp,and bacteria from the Flavobacteriaceae family were the microorganisms most found across all hospitals. Despite each hospital particularities in bacterial composition, clustering profiles were found for surfaces and locations in the ICU. Antimicrobial resistance genesmecA,blaKPC-like,blaNDM-like, andblaOXA-23-likewere the most frequently detected in surface samples. A wide variety of sanitizers were collected, with 19 different active principles in-use, and 21% of the solutions collected showed viable bacterial growth with antimicrobial resistance genes detected.Conclusion This study demonstrated a diverse and spread pattern of bacteria and antimicrobial resistance genes covering a large part of the national territory in ICU surface samples and in sanitizers solutions. This data should contribute to the adoption of surveillance programs to improve HAI control strategies and demonstrate that large-scale epidemiology studies must be performed to further understand the implications of bacterial contamination in hospital surfaces and sanitizer solutions. | ||
| 650 | 4 | |a Biology |7 (dpeaa)DE-84 | |
| 650 | 4 | |a 570 |7 (dpeaa)DE-84 | |
| 700 | 1 | |a Silva, Claudia Vallone |4 aut | |
| 700 | 1 | |a Christoff, Ana Paula |0 (orcid)0000-0002-0264-6177 |4 aut | |
| 700 | 1 | |a Cruz, Giuliano Netto Flores |4 aut | |
| 700 | 1 | |a Tavares, Leonardo Daniel |4 aut | |
| 700 | 1 | |a de Araújo, Luana Silva Rodrigues |4 aut | |
| 700 | 1 | |a Tomazini, Bruno Martins |4 aut | |
| 700 | 1 | |a Arns, Beatriz |4 aut | |
| 700 | 1 | |a Piastrelli, Filipe Teixeira |4 aut | |
| 700 | 1 | |a Cavalcanti, Alexandre Biasi |4 aut | |
| 700 | 1 | |a de Oliveira, Luiz Felipe Valter |4 aut | |
| 700 | 1 | |a Pereira, Adriano Jose |4 aut | |
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