Predictive Risk Factors for Methicillin-Resistant Staphylococcus aureus (MRSA) Colonisation among Adults in Acute

Yifan Xue1, Aye Aye Gyi

  • 11.Research Fellow, The Joanna Briggs Institute, Faculty of Health Sciences, The University of Adelaide, Level 8 Emergency Block, Royal Adelaide Hospital, Adelaide, SA, 5005, Australia.

JBI Library of Systematic Reviews
|November 8, 2016
PubMed
Abstract

Insights

Asymptomatic Methicillin-resistant Staphylococcus aureus (MRSA) carriers pose a transmission risk in hospitals. This review identified over 30 risk factors for MRSA colonization, aiding prevention strategies.

Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Public Health

Background:

  • Asymptomatic carriers of Methicillin-resistant Staphylococcus aureus (MRSA) are a significant source of transmission in acute care settings.
  • While prognostic risk factors for MRSA colonization are studied, a comprehensive review was lacking.

Purpose of the Study:

  • To systematically review and evaluate the association between various risk factors and MRSA colonization in adult patients admitted to acute care settings.
  • To identify independent risk factors for MRSA colonization to inform prevention and control strategies.

Main Methods:

  • A systematic review of cohort and case-control studies published between 1990 and 2010 was conducted.
  • MEDLINE, EMBASE, and CINAHL databases were searched for English-language studies.
  • Data from 15 prospective studies involving 16,467 patients were meta-analyzed.

Main Results:

  • Over 30 independent risk factors for MRSA colonization were identified.
  • Key risk factors include recent hospitalization, long-term care facility or rehabilitation facility admission, antibiotic use, presence of skin lesions, recent surgery, indwelling urinary catheter, and prior MRSA colonization.
  • Other significant factors include ICU admission, intra-hospital transfer, male sex, comorbidities, and fatal illness.

Conclusions:

  • Identifying MRSA colonization risk factors can enhance the effectiveness of current prevention strategies in acute care.
  • These findings can support the development of predictive models to identify potential MRSA carriers before hospital admission, thereby controlling spread.

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