Methicillin-Resistant

HCWs MRSA SA Staphylococcus aureus antibiotic resistance colonization health care workers methicillin-resistant Staphylococcus aureus risk factors

Journal

Infection and drug resistance
ISSN: 1178-6973
Titre abrégé: Infect Drug Resist
Pays: New Zealand
ID NLM: 101550216

Informations de publication

Date de publication:
2021
Historique:
received: 29 06 2021
accepted: 07 08 2021
entrez: 2 9 2021
pubmed: 3 9 2021
medline: 3 9 2021
Statut: epublish

Résumé

Methicillin-resistant To determine the prevalence of colonization with Out of a cohort of 3800 HCWs, 481 individuals from different hospital departments were randomly selected, and a single nasal swab was collected. Detection of SA and MRSA was carried out with the LightCycler Colonization with SA and MRSA occurred in respectively 23.7% (95% CI, 22.7-24.6) and 5% (95% CI, 3.39-7.58) of the individuals. The multivariate analysis showed that being older in age (OD 1.09) and being male (OD 2.78) were risk factors for SA and MRSA colonization ( About 20% of the HCWs who were colonized with SA were colonized with MRSA, representing a risk for nosocomial infections and hospital outbreaks. Active monitoring and a decolonization treatment of the HCWs can reduce these risks.

Sections du résumé

BACKGROUND BACKGROUND
Methicillin-resistant
PURPOSE OBJECTIVE
To determine the prevalence of colonization with
METHODS METHODS
Out of a cohort of 3800 HCWs, 481 individuals from different hospital departments were randomly selected, and a single nasal swab was collected. Detection of SA and MRSA was carried out with the LightCycler
RESULTS RESULTS
Colonization with SA and MRSA occurred in respectively 23.7% (95% CI, 22.7-24.6) and 5% (95% CI, 3.39-7.58) of the individuals. The multivariate analysis showed that being older in age (OD 1.09) and being male (OD 2.78) were risk factors for SA and MRSA colonization (
CONCLUSION CONCLUSIONS
About 20% of the HCWs who were colonized with SA were colonized with MRSA, representing a risk for nosocomial infections and hospital outbreaks. Active monitoring and a decolonization treatment of the HCWs can reduce these risks.

Identifiants

pubmed: 34471363
doi: 10.2147/IDR.S326148
pii: 326148
pmc: PMC8403571
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3433-3440

Informations de copyright

© 2021 Baroja et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

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Auteurs

Isabel Baroja (I)

Facultad de Ingenierías y Ciencias Aplicadas, Biotecnología, Universidad de Las Américas, Quito, Ecuador.
Unidad Técnica de Genética Molecular, Hospital de Especialidades Carlos Andrade Marín, Quito, Ecuador.

Sara Guerra (S)

Facultad de Ingenierías y Ciencias Aplicadas, Biotecnología, Universidad de Las Américas, Quito, Ecuador.
Unidad Técnica de Genética Molecular, Hospital de Especialidades Carlos Andrade Marín, Quito, Ecuador.

Marco Coral-Almeida (M)

Grupo de Bio-Quimioinformatica, Facultad de Ciencias de la Salud, Universidad de Las Américas, Quito, Ecuador.

Alejandra Ruíz (A)

Unidad Técnica de Genética Molecular, Hospital de Especialidades Carlos Andrade Marín, Quito, Ecuador.
IESS Quito Sur General Hospital, Institutional Coordination of Epidemiological Surveillance and Infectology, Molecular Microbiology, Quito, Ecuador.
Facultad de Ciencias Médicas, Universidad Central del Ecuador, Quito, Ecuador.

Juan Miguel Galarza (JM)

Unidad Técnica de Genética Molecular, Hospital de Especialidades Carlos Andrade Marín, Quito, Ecuador.
Unidad de Biociencias, Gerencia de Molecular y Oncodiagnóstico, SIMED S.A., Quito, Ecuador.

Jacobus H de Waard (JH)

One Health Research Group, Facultad de Ingenierías y Ciencias Aplicadas, Biotecnología, Universidad de Las Américas, Quito, Ecuador.

Carlos Bastidas-Caldes (C)

Facultad de Ingenierías y Ciencias Aplicadas, Biotecnología, Universidad de Las Américas, Quito, Ecuador.
One Health Research Group, Facultad de Ingenierías y Ciencias Aplicadas, Biotecnología, Universidad de Las Américas, Quito, Ecuador.
Programa de Doctorado en Salud Pública y Animal, Universidad de Extremadura, Extremadura, España.

Classifications MeSH