Infection prevention and control insights from a decade of pathogen whole-genome sequencing

J Hosp Infect. 2022 Apr:122:180-186. doi: 10.1016/j.jhin.2022.01.024. Epub 2022 Feb 12.

Abstract

Pathogen whole-genome sequencing has become an important tool for understanding the transmission and epidemiology of infectious diseases. It has improved our understanding of sources of infection and transmission routes for important healthcare-associated pathogens, including Clostridioides difficile and Staphylococcus aureus. Transmission from known infected or colonized patients in hospitals may explain fewer cases than previously thought and multiple introductions of these pathogens from the community may play a greater a role. The findings have had important implications for infection prevention and control. Sequencing has identified heterogeneity within pathogen species, with some subtypes transmitting and persisting in hospitals better than others. It has identified sources of infection in healthcare-associated outbreaks of food-borne pathogens, Candida auris and Mycobacterium chimera, as well as individuals or groups involved in transmission and historical sources of infection. SARS-CoV-2 sequencing has been central to tracking variants during the COVID-19 pandemic and has helped understand transmission to and from patients and healthcare workers despite prevention efforts. Metagenomic sequencing is an emerging technology for culture-independent diagnosis of infection and antimicrobial resistance. In future, sequencing is likely to become more accessible and widely available. Real-time use in hospitals may allow infection prevention and control teams to identify transmission and to target interventions. It may also provide surveillance and infection control benchmarking. Attention to ethical and wellbeing issues arising from sequencing identifying individuals involved in transmission is important. Pathogen whole-genome sequencing has provided an incredible new lens to understand the epidemiology of healthcare-associated infection and to better control and prevent these infections.

Keywords: Epidemiology; Whole-genome sequencing.

Publication types

  • Review

MeSH terms

  • COVID-19* / prevention & control
  • Cross Infection* / epidemiology
  • Cross Infection* / microbiology
  • Cross Infection* / prevention & control
  • Humans
  • Infection Control
  • Pandemics / prevention & control
  • SARS-CoV-2 / genetics
  • Whole Genome Sequencing