Evidence map›Paper›PMID 28475785›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2017

MRSA Transmission Dynamics Among Interconnected Acute, Intermediate-Term, and Long-Term Healthcare Facilities in Singapore.

Angela Chow, Vanessa W Lim, Ateeb Khan, Kerry Pettigrew, David C B Lye, Kala Kanagasabai, Kelvin Phua, Prabha Krishnan, Brenda Ang, Kalisvar Marimuthu and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Diversity and Dissemination of Methicillin-ResistantTropical medicine and infectious disease · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Angela ChowDepartments of Clinical Epidemiology and.
Vanessa W LimDepartments of Clinical Epidemiology and.
Ateeb KhanSchool of Medicine, University of St Andrews, Fife, and.
Kerry PettigrewSchool of Medicine, University of St Andrews, Fife, and.
David C B LyeInfectious Diseases, Institute of Infectious Diseases and Epidemiology, and Departments of.
Kala KanagasabaiRen Ci Hospital, and.
Kelvin PhuaAng Mo Kio-Thye Hua Kwan Hospital, Singapore.
Prabha KrishnanLaboratory Medicine and.
Brenda AngInfectious Diseases, Institute of Infectious Diseases and Epidemiology, and Departments of.
Kalisvar MarimuthuInfectious Diseases, Institute of Infectious Diseases and Epidemiology, and Departments of.
Pei-Yun HonLaboratory Medicine and.
Jocelyn KohAng Mo Kio-Thye Hua Kwan Hospital, Singapore.
Ian LeongContinuing and Community Care, Tan Tock Seng Hospital.
Julian ParkhillThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
Li-Yang HsuInfectious Diseases, Institute of Infectious Diseases and Epidemiology, and Departments of.
Matthew T G HoldenSchool of Medicine, University of St Andrews, Fife, and.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundMethicillin-resistant Staphylococcus aureus (MRSA) is the most common healthcare-associated multidrug-resistant organism. Despite the interconnectedness between acute care hospitals (ACHs) and intermediate- and long-term care facilities (ILTCFs), the transmission dynamics of MRSA between healthcare settings is not well understood.

methodsWe conducted a cross-sectional study in a network comprising an ACH and 5 closely affiliated ILTCFs in Singapore. A total of 1700 inpatients were screened for MRSA over a 6-week period in 2014. MRSA isolates underwent whole-genome sequencing, with a pairwise single-nucleotide polymorphism (Hamming distance) cutoff of 60 core genome single-nucleotide polymorphisms used to define recent transmission clusters (clades) for the 3 major clones.

resultsMRSA prevalence was significantly higher in intermediate-term (29.9%) and long-term (20.4%) care facilities than in the ACH (11.8%) (P < .001). The predominant clones were sequence type [ST] 22 (n = 183; 47.8%), ST45 (n = 129; 33.7%), and ST239 (n = 26; 6.8%), with greater diversity of STs in ILTCFs relative to the ACH. A large proportion of the clades in ST22 (14 of 21 clades; 67%) and ST45 (7 of 13; 54%) included inpatients from the ACH and ILTCFs. The most frequent source of the interfacility transmissions was the ACH (n = 28 transmission events; 36.4%).

conclusionsMRSA transmission dynamics between the ACH and ILTCFs were complex. The greater diversity of STs in ILTCFs suggests that the ecosystem in such settings might be more conducive for intrafacility transmission events. ST22 and ST45 have successfully established themselves in ILTCFs. The importance of interconnected infection prevention and control measures and strategies cannot be overemphasized.

Indexed as

Health FacilitiesLong-Term CareMethicillin-Resistant Staphylococcus aureusAgedAged, 80 and overCross InfectionCross-Sectional StudiesFemaleGenome, BacterialHigh-Throughput Nucleotide SequencingHumansIntermediate Care FacilitiesMaleMiddle AgedPolymorphism, Single NucleotidePrevalenceintermediate-care facilitieslong-term care facilities.MRSAtransmissionwhole-genome sequencing

Identifiers

PMID28475785
PMCPMC5849126

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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.