Evidence map›Paper›PMID 29728115›Full record

ArticleAnnals of clinical microbiology and antimicrobials2018

Nasal colonization with methicillin-resistant Staphylococcus aureus among elderly living in nursing homes in Brazil: risk factors and molecular epidemiology.

Monica da Silveira, Maria de Lourdes Ribeiro de Souza da Cunha, Camila Sena Martins de Souza, Adriana Aparecida Feltrin Correa, Carlos Magno Castelo Branco Fortaleza

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Molecular Epidemiology ofAntibiotics (Basel, Switzerland) · 2022
    Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. The History of Methicillin-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2020
    Review
  12. Molecular Diversity ofPolish journal of microbiology · 2019
    Article
  13. Article
  14. Article
  15. Observational
  16. Insights into the epidemiology of community-associated methicillin-resistant Staphylococcus aureus in special populations and at the community-healthcare interface.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
  17. Is community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) an emerging pathogen among children in Brazil?The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Monica da SilveiraDepartment of Tropical Diseases, Botucatu School of Medicine, University Hospital, UNESP-Univ Estadual Paulista, Botucatu, SP, Brazil.
Maria de Lourdes Ribeiro de Souza da CunhaDepartment of Microbiology and Immunology, Botucatu Biosciences Institute, UNESP-Univ Estadual Paulista, Botucatu, SP, Brazil.
Camila Sena Martins de SouzaDepartment of Microbiology and Immunology, Botucatu Biosciences Institute, UNESP-Univ Estadual Paulista, Botucatu, SP, Brazil.
Adriana Aparecida Feltrin CorreaDepartment of Tropical Diseases, Botucatu School of Medicine, University Hospital, UNESP-Univ Estadual Paulista, Botucatu, SP, Brazil.
Carlos Magno Castelo Branco FortalezaDepartment of Tropical Diseases, Botucatu School of Medicine, University Hospital, UNESP-Univ Estadual Paulista, Botucatu, SP, Brazil. cmfortaleza@uol.com.br.

Funding

FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo) 2011/06988-2FUNDUNESP 0036011
6 · The paper itself

Abstract

backgroundMethicillin-resistant Staphylococcus aureus poses a threat to elderly living in nursing homes. Studies focusing on the epidemiology of colonization may help in the design of infection control strategies.

objectiveTo identify factors associated with MRSA colonization and the dissemination of clones among nursing home residents.

methodsNasal swabs were collected from 300 persons from nine nursing homes in the city of Bauru, Brazil. Resistance to methicillin was identified through amplification of the mecA gene. Strain typing (Pulsed-Field Gel Electrophoresis) and characterization of the Staphylococcal Chromosome Cassette (SCC) mec was performed. Univariate and multivariable models were used to identify predictors of overall S. aureus and MRSA carriage.

resultsRates of S. aureus and MRSA colonization were 17.7 and 3.7%, respectively. Age and recent admission to a hospital were independently associated with colonization with S. aureus. MRSA colonization was associated with living in small (< 15 residents) and medium-sized (15-49 residents) facilities, as well as with recent hospitalization. Most MRSA strains carried SCCmec types II or IV, and there was evidence of clonal spread within and among different facilities.

conclusionsMRSA may be introduced in nursing homes form hospitals or arise from the community setting. Screening for asymptomatic colonization may identify persons with greater risk for infection, and is advised for residents discharged from acute care hospitals.

Indexed as

Molecular EpidemiologyNursing HomesAgedAged, 80 and overAnti-Bacterial AgentsBacterial ProteinsBrazilCross-Sectional StudiesDNA, BacterialGenes, BacterialHospitalizationHumansMethicillinMethicillin ResistanceMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial ProteinsDNA, BacterialmecA protein, Staphylococcus aureusMethicillinPenicillin-Binding ProteinsMRSANursing homesStaphylococcus aureus

Identifiers

PMID29728115
PMCPMC5934845

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Registered trials

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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.