Evidence map›Paper›PMID 32492060›Full record

ArticlePloS one2020

One year cross-sectional study in adult and neonatal intensive care units reveals the bacterial and antimicrobial resistance genes profiles in patients and hospital surfaces.

Ana Paula Christoff, Aline Fernanda Rodrigues Sereia, Giuliano Netto Flores Cruz, Daniela Carolina de Bastiani, Vanessa Leitner Silva, Camila Hernandes, Ana Paula Metran Nascente, Ana Andrea Dos Reis, Renata Gonçalves Viessi, Andrea Dos Santos Pereira Marques and 5 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Draft Genome Sequences ofMicrobiology resource announcements · 2020
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  20. Draft Genome Sequences ofMicrobiology resource announcements · 2020
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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

15 authors.

Ana Paula ChristoffBiomeHub, Florianopolis, Brazil.ORCID 0000-0002-0264-6177
Aline Fernanda Rodrigues SereiaBiomeHub, Florianopolis, Brazil.
Giuliano Netto Flores CruzBiomeHub, Florianopolis, Brazil.
Daniela Carolina de BastianiBiomeHub, Florianopolis, Brazil.
Vanessa Leitner SilvaBiomeHub, Florianopolis, Brazil.
Camila HernandesAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Ana Paula Metran NascenteAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Ana Andrea Dos ReisAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Renata Gonçalves ViessiAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Andrea Dos Santos Pereira MarquesAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Bianca Silva BragaAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Telma Priscila Lovizio RaduanAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Marines Dalla Valle MartinoAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Fernando Gatti de MenezesAlbert Einstein Israelite Hospital, São Paulo, Brazil.
Luiz Felipe Valter de OliveiraBiomeHub, Florianopolis, Brazil.ORCID 0000-0003-4535-0621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have shown the ubiquitous presence of bacteria in hospital surfaces, staff, and patients. Frequently, these bacteria are related to HAI (healthcare-associated infections) and carry antimicrobial resistance (AMR). These HAI-related bacteria contribute to a major public health issue by increasing patient morbidity and mortality during or after hospital stay. Bacterial high-throughput amplicon gene sequencing along with identification of AMR genes, as well as whole genome sequencing (WGS), are biotechnological tools that allow multiple-sample screening for a diversity of bacteria. In this paper, we used these methods to perform a one-year cross sectional profiling of bacteria and AMR genes in adult and neonatal intensive care units (ICU and NICU) in a Brazilian public, tertiary hospital. Our results showed high abundances of HAI-related bacteria such as S. epidermidis, S. aureus, K. pneumoniae, A. baumannii complex, E. coli, E. faecalis, and P. aeruginosa in patients and hospital surfaces. Most abundant AMR genes detected throughout ICU and NICU were mecA, blaCTX-M-1 group, blaSHV-like, and blaKPC-like. We found that NICU environment and patients were more widely contaminated with pathogenic bacteria than ICU. Patient samples, despite the higher bacterial load, have lower bacterial diversity than environmental samples in both units. Finally, we also identified contamination hotspots in the hospital environment showing constant frequencies of bacterial and AMR contamination throughout the year. Whole genome sequencing (WGS), 16S rRNA oligotypes, and AMR identification allowed a high-resolution characterization of the hospital microbiome profile.

Indexed as

AdultAnti-Bacterial AgentsAnti-Infective AgentsBacteriaBacterial LoadBrazilCross InfectionCross-Sectional StudiesDrug Resistance, BacterialEscherichia coliHumansInfant, NewbornIntensive Care UnitsIntensive Care Units, NeonatalRNA, Ribosomal, 16SStaphylococcus aureusAnti-Bacterial AgentsAnti-Infective AgentsRNA, Ribosomal, 16S

Identifiers

PMID32492060
PMCPMC7269242

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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.