Interindividual Contacts and Carriage of Methicillin-Resistant Staphylococcus aureus: A Nested Case-Control Study

Infect Control Hosp Epidemiol. 2015 Aug;36(8):922-9. doi: 10.1017/ice.2015.89. Epub 2015 Apr 20.

Abstract

Background: Reducing the spread of multidrug-resistant bacteria in hospitals remains a challenge. Current methods are screening of patients, isolation, and adherence to hygiene measures among healthcare workers (HCWs). More specific measures could rely on a better characterization of the contacts at risk of dissemination.

Objective: To quantify how close-proximity interactions (CPIs) affected Staphylococcus aureus dissemination. DESIGN Nested case-control study.

Setting: French long-term care facility in 2009.

Participants: Patients (n=329) and HCWs (n=261).

Methods: We recorded CPIs using electronic devices together with S. aureus nasal carriage during 4 months in all participants. Cases consisted of patients showing incident S. aureus colonization and were paired to 8 control patients who did not exhibit incident colonization at the same date. Conditional logistic regression was used to quantify associations between incidence and exposure to demographic, network, and carriage covariables.

Results: The local structure of contacts informed on methicillin-resistant S. aureus (MRSA) carriage acquisition: CPIs with more HCWs were associated with incident MRSA colonization in patients (odds ratio [OR], 1.10 [95% CI, 1.04-1.17] for 1 more HCW), as well as longer CPI durations (1.03 [1.01-1.06] for a 1-hour increase). Joint analysis of carriage and contacts showed increased carriage acquisition in case of CPI with another colonized individual (OR, 1.55 [1.14-2.11] for 1 more HCW). Global network measurements did not capture associations between contacts and carriage.

Conclusions: Electronically recorded CPIs inform on the risk of MRSA carriage, warranting more study of in-hospital contact networks to design targeted intervention strategies.

Publication types

  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Carrier State / epidemiology*
  • Carrier State / microbiology
  • Carrier State / transmission*
  • Case-Control Studies
  • Cross Infection / epidemiology*
  • Cross Infection / microbiology
  • Cross Infection / transmission*
  • Female
  • Humans
  • Incidence
  • Infectious Disease Transmission, Patient-to-Professional*
  • Infectious Disease Transmission, Professional-to-Patient*
  • Longitudinal Studies
  • Male
  • Methicillin-Resistant Staphylococcus aureus*
  • Middle Aged
  • Nose / microbiology
  • Rehabilitation Centers
  • Risk Factors
  • Staphylococcal Infections / epidemiology*
  • Staphylococcal Infections / microbiology
  • Staphylococcal Infections / transmission*
  • Time Factors
  • Wireless Technology
  • Young Adult