ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2016
Genome-Based Infection Tracking Reveals Dynamics of Clostridium difficile Transmission and Disease Recurrence.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 74 citations in OpenAlex.
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- Environmental and Health Care Personnel Sampling and Unobserved Clostridium difficile Transmission in ICU.JAMA network open · 2025Observational
- Integrated Genomic and Social Network Analyses of SARS-CoV-2 Transmission in the Healthcare Setting.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- Identifying Contact Time Required for Secondary Transmission of Clostridioides difficile Infections by Using Real-Time Locating System.Emerging infectious diseases · 2024Article
- Genomic surveillance ofmBio · 2024Article
- Comparative Genomics of Clostridioides difficile.Advances in experimental medicine and biology · 2024Article
- Environmental approaches to controlling Clostridioides difficile infection in healthcare settings.Antimicrobial resistance and infection control · 2023Review
- Particular genomic and virulence traits associated with preterm infant-derived toxigenic Clostridium perfringens strains.Nature microbiology · 2023Article
- Evidence of within-facility patient-patientEpidemiology and infection · 2022Article
- Infection prevention and control insights from a decade of pathogen whole-genome sequencing.The Journal of hospital infection · 2022Review
- Genomic Determination of Relative Risks for Clostridioides difficile Infection From Asymptomatic Carriage in Intensive Care Unit Patients.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Clostridioides difficile Whole-genome Sequencing Differentiates Relapse With the Same Strain From Reinfection With a New Strain.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Review
- High Prevalence of Genetically RelatedFrontiers in microbiology · 2020Article
- A core genome approach that enables prospective and dynamic monitoring of infectious outbreaks.Scientific reports · 2019Article
- Whole-genome sequencing reveals nosocomial Clostridioides difficile transmission and a previously unsuspected epidemic scenario.Scientific reports · 2019Article
- Genomics of the Pathogenic Clostridia.Microbiology spectrum · 2019Review
- EpidemicOpen forum infectious diseases · 2019Article
- Clostridium difficile: Investigating Transmission Patterns Between Infected and Colonized Patients Using Whole Genome Sequencing.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Article
- Development and Implementation of Whole Genome Sequencing-Based Typing Schemes forFrontiers in public health · 2019Review
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAccurate tracking of Clostridium difficile transmission within healthcare settings is key to its containment but is hindered by the lack of discriminatory power of standard genotyping methods. We describe a whole-genome phylogenetic-based method to track the transmission of individual clones in infected hospital patients from the epidemic C. difficile 027/ST1 lineage, and to distinguish between the 2 causes of recurrent disease, relapse (same strain), or reinfection (different strain).
methodsWe monitored patients with C. difficile infection in a UK hospital over a 2-year period. We performed whole-genome sequencing and phylogenetic analysis of 108 strains isolated from symptomatic patients. High-resolution phylogeny was integrated with in-hospital transfers and contact data to create an infection network linking individual patients and specific hospital wards.
resultsEpidemic C. difficile 027/ST1 caused the majority of infections during our sampling period. Integration of whole-genome single nucleotide polymorphism (SNP) phylogenetic analysis, which accurately discriminated between 27 distinct SNP genotypes, with patient movement and contact data identified 32 plausible transmission events, including ward-based contamination (66%) or direct donor-recipient contact (34%). Highly contagious donors were identified who contributed to the persistence of clones within distinct hospital wards and the spread of clones between wards, especially in areas of intense turnover. Recurrent cases were identified between 4 and 26 weeks, highlighting the limitation of the standard <8-week cutoff used for patient diagnosis and management.
conclusionsGenome-based infection tracking to monitor the persistence and spread of C. difficile within healthcare facilities could inform infection control and patient management.
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