ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2019
Whole-genome sequencing data-based modeling for the investigation of an outbreak of community-associated methicillin-resistant Staphylococcus aureus in a neonatal intensive care unit in Hong Kong.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Risk factors for colonization/infection by resistant microorganisms in outbreaks in neonatal unit-a systematic review and meta-analysis.Jornal de pediatriaPooled it
- Trial
- Fast hospital discharge rates blur within-hospital 'transmission footprint' in bacterial genomes, as showcased with Staphylococcus aureus.PLoS computational biology · 2026Article
- Tracking Antimicrobial Resistant Organisms Timely: a workflow validation study for successive core-genome SNP-based nosocomial transmission analysis.JAC-antimicrobial resistance · 2025Article
- Distribution of Antimicrobial Resistance and Biofilm Production Genes in the Genomic Sequences ofAntibiotics (Basel, Switzerland) · 2025Article
- Isolation of community-associated methicillin-resistantOne health (Amsterdam, Netherlands) · 2024Article
- Outbreaks in the Neonatal Intensive Care Unit: Description and Management.Tropical medicine and infectious disease · 2024Review
- Linking preterm infant gut microbiota to nasograstric enteral feeding tubes: exploring potential interactions and microbial strain transmission.Frontiers in pediatrics · 2024Article
- Comparative Genomic Analysis of Staphylococcal Cassette ChromosomeAnnals of laboratory medicine · 2024Article
- Genomic Epidemiology Analysis of Infectious Disease Outbreaks Using TransPhylo.Current protocols · 2021Article
- A comparative genomic analysis between methicillin-resistant Staphylococcus aureus strains of hospital acquired and community infections in Yunnan province of China.BMC infectious diseases · 2020Article
- Phenotypic and Molecular Characteristics of Community-AssociatedInfection and drug resistance · 2020Article
- The Genomic Context for the Evolution and Transmission of Community-AssociatedFrontiers in microbiology · 2020Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
We describe a nosocomial outbreak of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) ST59-SCCmec type V in a neonatal intensive care unit (NICU) in Hong Kong. In-depth epidemiological analysis was performed by whole-genome sequencing (WGS) of the CA-MRSA isolates collected from patients and environment during weekly surveillance and healthcare workers from the later phase of the outbreak. Case-control analysis was performed to analyze potential risk factors for the outbreak. The outbreak occurred from September 2017 to February 2018 involving 15 neonates and one healthcare worker. WGS analysis revealed complicated transmission dynamics between patients, healthcare worker, and environment, from an unrecognized source introduced into the NICU within 6 months before the outbreak. In addition to enforcement of directly observed hand hygiene, environmental disinfection, cohort nursing of colonized and infected patients, together with contact tracing for secondary patients, medical, nursing, and supporting staff were segregated where one team would care for CA-MRSA-confirmed/CA-MRSA-exposed patients and the other for newly admitted patients in the NICU only. Case-control analysis revealed use of cephalosporins [odds ratio 49.84 (3.10-801.46), p = 0.006] and length of hospitalization [odds ratio 1.02 (1.00-1.04), p = 0.013] as significant risk factors for nosocomial acquisition of CA-MRSA in NICU using multivariate analysis. WGS facilitates the understanding of transmission dynamics of an outbreak, providing insights for outbreak prevention.
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