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  1. Article ; Online: Predicting the primary infection source of Escherichia coli bacteremia using virulence-associated genes.

    Ilsby, Christian Schaadt / Hertz, Frederik Boetius / Westh, Henrik / Monk, Jonathan / Worning, Peder / Johansen, Helle Krogh / Hansen, Katrine Hartung / Pinholt, Mette

    European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology

    2024  Volume 43, Issue 4, Page(s) 641–648

    Abstract: Purpose: To investigate the role of E. coli virulence-associated genes (VAGs) in predicting urinary tract infection (UTI) as the source of bacteremia in two distinct hospital populations, one with a large general catchment area and one dominated by ... ...

    Abstract Purpose: To investigate the role of E. coli virulence-associated genes (VAGs) in predicting urinary tract infection (UTI) as the source of bacteremia in two distinct hospital populations, one with a large general catchment area and one dominated by referrals.
    Methods: E. coli bacteremias identified at Department of Clinical Microbiology (DCM), Hvidovre Hospital and DCM, Rigshospitalet in the Capital Region of Denmark from October to December 2018. Using whole genome sequencing (WGS), we identified 358 VAGs from 224 E. coli bacteremia. For predictive analysis, VAGs were paired with clinical source of UTI from local bacteremia databases.
    Results: VAGs strongly predicting of UTI as primary infection source of bacteremia were primarily found within the pap gene family. papX (PPV 96%, sensitivity 54%) and papGII (PPV 93%, sensitivity 56%) were found highly predictive, but showed low sensitivities. The strength of VAG predictions of UTI as source varied significantly between the two hospital populations. VAGs had weaker predictions in the tertiary referral center (Rigshospitalet), a disparity likely stemming from differences in patient population and department specialization.
    Conclusion: WGS data was used to predict the primary source of E. coli bacteremia and is an attempt on a new and different type of infection source identification. Genomic data showed potential to be utilized to predict the primary source of infection; however, discrepancy between the best performing profile of VAGs between acute care hospitals and tertiary hospitals makes it difficult to implement in clinical practice.
    MeSH term(s) Humans ; Escherichia coli/genetics ; Virulence/genetics ; Escherichia coli Infections/epidemiology ; Escherichia coli Infections/microbiology ; Bacteremia/microbiology ; Escherichia coli Proteins/genetics ; Urinary Tract Infections/microbiology ; Virulence Factors/genetics
    Chemical Substances Escherichia coli Proteins ; Virulence Factors
    Language English
    Publishing date 2024-01-25
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 603155-9
    ISSN 1435-4373 ; 0934-9723 ; 0722-2211
    ISSN (online) 1435-4373
    ISSN 0934-9723 ; 0722-2211
    DOI 10.1007/s10096-024-04754-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Lacticaseibacillus rhamnosus

    Rubin, Ingrid Maria Cecilia / Knudsen, Maja Johanne Søndergaard / Halkjær, Sofie Ingdam / Ilsby, Christian Schaadt / Pinholt, Mette / Petersen, Andreas Munk

    Microorganisms

    2023  Volume 11, Issue 11

    Abstract: The aim of this review was to assess the efficacy and safety ... ...

    Abstract The aim of this review was to assess the efficacy and safety of
    Language English
    Publishing date 2023-11-19
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms11112804
    Database MEDical Literature Analysis and Retrieval System OnLINE

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