Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.jiph.2019.12.003
DC Field | Value | |
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dc.title | Serratia marcescens in the neonatal intensive care unit: A cluster investigation using molecular methods | |
dc.contributor.author | Yeo, Kee T | |
dc.contributor.author | Octavia, Sophie | |
dc.contributor.author | Lim, Kian | |
dc.contributor.author | Lin, Cui | |
dc.contributor.author | Lin, Raymond | |
dc.contributor.author | Thoon, Koh C | |
dc.contributor.author | Tee, Nancy WS | |
dc.contributor.author | Yung, Chee F | |
dc.date.accessioned | 2021-11-17T07:26:02Z | |
dc.date.available | 2021-11-17T07:26:02Z | |
dc.date.issued | 2020-07-01 | |
dc.identifier.citation | Yeo, Kee T, Octavia, Sophie, Lim, Kian, Lin, Cui, Lin, Raymond, Thoon, Koh C, Tee, Nancy WS, Yung, Chee F (2020-07-01). Serratia marcescens in the neonatal intensive care unit: A cluster investigation using molecular methods. JOURNAL OF INFECTION AND PUBLIC HEALTH 13 (7) : 1006-1011. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jiph.2019.12.003 | |
dc.identifier.issn | 18760341 | |
dc.identifier.issn | 1876035X | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/206582 | |
dc.description.abstract | Background: Serratia marcescens (S. marcescens) is associated with nosocomial infections with significant morbidity and mortality in the neonatal intensive care units (NICU). We describe the control of a multi-clonal S. marcescens infections outbreak in our tertiary-level NICU and the application of molecular typing using repetitive element palindromic PCR (rep-PCR) and next generation sequencing (NGS) in the investigation. Methods: Outbreak investigation was performed where clinical, spatial and epidemiologic links were established. Screening of all infants in the NICU and the environment was performed. Rep-PCR and NGS methods were used to identify potential environmental sources of infections and clustering among cases. Results: Eleven cases were detected during the outbreak period: mean gestational age 27 weeks (range: 24–32), predominantly male (82%), mean age of infection 24 days (range: 6–51). Six infants were treated for conjunctivitis and one for bacteraemia. Identification of colonized infant via a point prevalence survey and cohorting of all infected/colonized patients were implemented. We performed environmental swabbing of surfaces, water outlets, chlorhexidine hand wash solutions and hand hygiene hand rubs. Both rep-PCR and NGS classified the 11 case isolates into 5 types. No point source was identified except for a single positive environmental isolate from a sink which was clonally distinct from the cases. Conclusion: Identification and cohorting of infected/colonized patient was important in the control of S. marcescens outbreak in the NICU. The utility of rep-PCR was comparable to NGS in providing molecular information to develop S. marcescens outbreak control strategies. | |
dc.description.uri | https://www.sciencedirect.com/science/article/pii/S1876034119303843 | |
dc.language.iso | en | |
dc.publisher | ELSEVIER SCIENCE LONDON | |
dc.source | Elements | |
dc.subject | Science & Technology | |
dc.subject | Life Sciences & Biomedicine | |
dc.subject | Public, Environmental & Occupational Health | |
dc.subject | Infectious Diseases | |
dc.subject | Serratia marcescens | |
dc.subject | Outbreak | |
dc.subject | Rep-PCR | |
dc.subject | Molecular epidemiology | |
dc.subject | Single nucleotide polymorphism (SNP) | |
dc.subject | BENZALKONIUM CHLORIDE | |
dc.subject | OUTBREAK | |
dc.subject | INFECTIONS | |
dc.type | Article | |
dc.date.updated | 2021-11-11T06:24:00Z | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.contributor.department | INSTITUTE OF MOLECULAR & CELL BIOLOGY | |
dc.description.doi | 10.1016/j.jiph.2019.12.003 | |
dc.description.sourcetitle | JOURNAL OF INFECTION AND PUBLIC HEALTH | |
dc.description.volume | 13 | |
dc.description.issue | 7 | |
dc.description.page | 1006-1011 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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KT Yeo SEMA outbreak 2019.pdf | Accepted version | 837.94 kB | Adobe PDF | OPEN | None | View/Download |
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