Tracing the transmission of carbapenem-resistant Enterobacterales at the patient: ward environmental nexus
2024

Tracing the transmission of carbapenem-resistant Enterobacterales in hospitals

Sample size: 25 publication 10 minutes Evidence: high

Author Information

Author(s): Elton Linzy, Alan Williams, Shanom Ali, Jelena Heaphy, Vicky Pang, Liam Commins, Conor O’Brien, Özge Yetiş, Estelle Caine, Imogen Ward, Monika Muzslay, Samuel Yui, Kush Karia, Ellinor Shore, Sylvia Rofael, Damien J. F. Mack, Timothy D. McHugh, Emmanuel Q. Wey

Primary Institution: The Centre for Clinical Microbiology, University College London, London, UK

Hypothesis

Can genomic analysis effectively track the transmission routes of carbapenem-resistant Enterobacterales in clinical and environmental samples?

Conclusion

The study demonstrated potential patient-patient and patient-ward transmission of carbapenem-resistant Enterobacterales, highlighting the need for improved infection control measures.

Supporting Evidence

  • 84% of clinical isolates had more than one blaOXA gene.
  • 51.9% of environmental wastewater samples contained Enterobacterales.
  • Metagenomic sampling needs optimization to improve sensitivity.

Takeaway

This study looked at how germs that are hard to treat spread in hospitals, showing that they can move between patients and the places around them.

Methodology

The study involved culturing clinical and environmental samples, performing genomic sequencing, and analyzing the presence of resistance genes.

Potential Biases

Potential biases may arise from the sampling methods and the interpretation of genomic data.

Limitations

The study's findings may be limited by the complexity of environmental sampling and the difficulty in inferring transmission routes.

Participant Demographics

Patients included in the study were from a North London tertiary referral hospital, with a focus on vulnerable groups such as the elderly and immunocompromised.

Statistical Information

P-Value

p ≤ 0.0001

Statistical Significance

p ≤ 0.0001

Digital Object Identifier (DOI)

10.1186/s12941-024-00762-8

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