Evidence map›Paper›PMID 39470748›Full record

ArticleEuropean journal of microbiology & immunology2024

Spatial and temporal dynamics of the prevalence of resistance genes and gastrointestinal pathogens in stool samples of German deployment returnees.

Vanessa Navabi, Dorothea Franziska Wiemer, Matthias Halfter, Ulrich Müseler, Susann Dupke, Anja Petrov-Salzwedel, Ulrich Schotte, Hagen Frickmann

Abstract read
In one paragraph

Article in European journal of microbiology & immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

8 authors.

Vanessa Navabi1Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, Hamburg, Germany.
Dorothea Franziska Wiemer2Infectious Disease and Tropical Medicine Department, Bundeswehr Hospital Hamburg, Hamburg, Germany.
Matthias Halfter2Infectious Disease and Tropical Medicine Department, Bundeswehr Hospital Hamburg, Hamburg, Germany.
Ulrich Müseler3Medical Service, German Federal Police, Potsdam, Germany.
Susann Dupke4Centre for Biological Threats and Special Pathogens/Highly Pathogenic Microorganisms, Robert Koch Institute, Berlin, Germany.
Anja Petrov-Salzwedel5Department A-Veterinary Medicine, Central Institute of the Bundeswehr Medical Service Kiel, Kronshagen, Germany.
Ulrich Schotte5Department A-Veterinary Medicine, Central Institute of the Bundeswehr Medical Service Kiel, Kronshagen, Germany.
Hagen Frickmann1Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, Hamburg, Germany.ORCID 0000-0002-8967-9528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The exploratory study assessed trends in the abundance of CTX-M-type extended spectrum beta-lactamase (ESBL) and vancomycin-resistance genes vanA and vanB in the stool samples of German soldiers and police officers returning from predominantly tropical deployments next to the common diarrheagenic Escherichia (E.) coli pathovars enteropathogenic Escherichia coli (EPEC), enterotoxigenic E. coli (ETEC) and enteroaggregative E. coli (EAEC)) as well as rarely imported Vibrio spp. between 2006 and 2024. Methods: Surveillance was performed applying real-time polymerase chain reaction and results were stratified by World Health Organization region of deployment as well as by deployment period. For the latter, the study interval was divided into three pre-COVID-19-pandemic periods, the COVID-19-pandemic period and the post-COVID-19-pandemic period. Averaged prevalences were used as references. Results: In stool samples of 1817 deployed German soldiers and 117 police officers, averaged prevalences were 47.9% and 24.8% for the ESBL-type beta-lactamase blaCTX-M, 30.2% and 14.5% for vanB, 9.0% and 17.9% for EPEC, 3.4% and 12.8% for ETEC, 4.0% and 3.4% for EAEC as well as 2.0% and 3.4% for Vibrio spp., respectively. While resistance genes peaked during early deployments, maximum prevalences for enteropathogens were seen later. Conclusions: The assessment suggested time- and region-dependence of the assessed parameters.

Indexed as

antimicrobial resistancecolonizationmilitarypolicesurveillance

Identifiers

PMID39470748
PMCPMC11836650

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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.