open access publication

Article, Early Access, 2024

Predicting the primary infection source of Escherichia coli bacteremia using virulence-associated genes

EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES, ISSN 0934-9723, 0934-9723, 10.1007/s10096-024-04754-6

Contributors

Ilsby, Christian Schaadt 0000-0002-9029-203X (Corresponding author) [1] Hertz, F. B. 0000-0003-0888-4616 [1] [2] Westh, Henrik [1] Monk, Jonathan [3] [4] Worning, Peder [1] Johansen, Helle K. 0000-0003-0268-3717 [1] [2] Hansen, K. Hartung 0000-0001-5471-711X [1] Pinholt, Mette [1]

Affiliations

  1. [1] Univ Copenhagen, Dept Clin Med, Copenhagen, Denmark
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Univ Copenhagen, Dept Clin Microbiol, Hosp Rigshosp, Copenhagen, Denmark
  4. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Univ Calif San Diego, Dept Bioengn, La Jolla, CA USA
  6. [NORA names: United States; America, North; OECD];
  7. [4] Univ Calif San Diego, Dept Bioengn, La Jolla, CA USA
  8. [NORA names: United States; America, North; OECD]

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.

Keywords

Bacteremia, E. coli, Urosepsis, Virulence-associated genes, WGS

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