Clostridioides difficile infection (CDI) in a previous room occupant predicts CDI in subsequent room occupants across different hospital settings

Geeta Sood, Shaun Truelove, Geoff Dougherty, B. Mark Landrum, Sonia Qasba, Mayank Patel, Amanda Miller, Christina Wilson, John Martin, Cindy Sears, Alyson Schuster, Mark Sulkowski, Richard Bennett, Noya Galai

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Previous single-center studies suggest that exposure to a room previously occupied by a patient with CDI may increase the risk of CDI in subsequent patients. We evaluated the risk of previous room occupant on CDI risk across 5 adult hospitals. Methods: This is a non-concurrent cohort study of adult inpatients admitted to 5 hospitals. Exposed rooms were identified as being occupied by a patient diagnosed with CDI and a logistic regression was performed to assess if staying in an exposed room increases the risk of CDI in subsequent patients. Results: Patients admitted to a room that was previously occupied by a patient with CDI had a 27% increased odds of subsequently being diagnosed with CDI (odds ratio (OR)=1.269; 95% confidence interval (CI)= 1.12-1.44) if exposed within the last 90 days and 40% increased odds (OR=1.401; 95% CI= 1.25-1.57) if exposed in the last 365 days after controlling for previous admissions and length of stay. Cumulative patient-day exposure to previously CDI-positive occupied rooms within both 90 and 365 days were also found to be independently significant, with a 4.5% (OR 1.045; 95% CI = 1.03-1.06) and 4.2% (OR 1.042; 95% CI = 1.03-1.06) increase in odds of CDI with each day of exposure respectively.

Original languageEnglish (US)
Pages (from-to)1352-1354
Number of pages3
JournalAmerican Journal of Infection Control
Volume50
Issue number12
DOIs
StatePublished - Dec 2022

Keywords

  • Clostridioides Difficile
  • Hospital Environment
  • Previous Room Occupant

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Infectious Diseases
  • Health Policy
  • Epidemiology

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