ArticleBMC genomics2016
Nosocomial transmission of Clostridium difficile ribotype 027 in a Chinese hospital, 2012-2014, traced by whole genome sequencing.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 61 citations in OpenAlex.
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- Epidemiology, risk factors, and antimicrobial resistance of nosocomial infections in the intensive care unit trauma patients: A cross-sectional study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025Article
- [Analysis ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Molecular characteristics, clonal transmission, and risk factors ofFrontiers in microbiology · 2024Article
- Genomic and phenotypic characterization of aFrontiers in cellular and infection microbiology · 2024Article
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- Application of a core genome sequence typing (cgMLST) pipeline for surveillance ofFrontiers in cellular and infection microbiology · 2023Article
- Genomic Epidemiology and Antimicrobial Resistance Profiles ofInfection and drug resistance · 2023Article
- Retrospective Study of the Epidemiology ofInfection and drug resistance · 2023Article
- Transmission visualizations of healthcare infection clusters: A scoping review.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022Article
- Isolation, molecular typing and antimicrobial resistance ofFrontiers in veterinary science · 2022Article
- A publicly accessible database forMicrobial genomics · 2020Article
- Molecular epidemiology of antimicrobial resistant microorganisms in the 21th century: a review of the literature.Acta bio-medica : Atenei Parmensis · 2020Review
- Characteristics of Clostridium difficile isolates and the burden of hospital-acquired Clostridium difficile infection in a tertiary teaching hospital in Chongqing, Southwest China.BMC infectious diseases · 2020Article
- BacPipe: A Rapid, User-Friendly Whole-Genome Sequencing Pipeline for Clinical Diagnostic Bacteriology.iScience · 2020Article
- Whole genome analysis reveals new insights into the molecular characteristics ofInfection and drug resistance · 2019Article
Corrections and comments
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Authors and funding
19 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundThe rapid spread of Clostridium difficile NAP1/BI/027 (C. difficile 027) has become one of the leading threats of healthcare-associated infections worldwide. However, C. difficile 027 infections have been rarely reported in Asia, particularly in China.
resultsIn this study, we identified a rare C. difficile bloodstream infection (BSI) from three isolates of a patient during repeated hospital admission. This finding triggered a retrospective epidemiological study to scan all cases and strains emerged from this ward during the past three years. Using medical personnel interviews, medical record reviews and the genomic epidemiology, two outbreaks in 2012 and 2013-2014 were identified. Through using whole genome sequencing, we succeeded to trace the origin of the BSI strain. Surprisingly, we found the genome sequences were similar to C. difficile 027 strain R20291, indicating the occurrence of a rare C. difficile 027 strain in China. Integrated epidemiological investigation and whole genome sequencing of all strains, we constructed a nosocomial transmission map of these two C. difficile 027 outbreaks and traced the origin of the infection.
conclusionsBy genome sequencing, spatio-temporal analysis and field epidemiology investigation, we can estimate their complex transform network and reveal the possible modes of transmission in this ward. Based on their genetic diversity, we can assume that the toilets, bathroom, and janitor's equipment room may be contaminated area, which may be suggested to improve infection control measures in the following health care.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.