Evaluation of a risk assessment model to predict infection with healthcare facility-onset Clostridioides difficile.

Purpose: We evaluated a previously published risk model (Novant model) to identify patients at risk for healthcare facility-onset Clostridioides difficile infection (HCFO-CDI) at 2 hospitals within a large health system and compared its predictive value to that of a new model developed based on local findings.

Methods: We conducted a retrospective case-control study including adult patients admitted from July 1, 2016, to July 1, 2018. Patients with HCFO-CDI who received systemic antibiotics were included as cases and were matched 1 to 1 with controls (who received systemic antibiotics without developing HCFO-CDI).

Development of a risk prediction model for hospital-onset Clostridium difficile infection in patients receiving systemic antibiotics.

Background: Clostridium difficile infection (CDI) is recognized as a significant challenge in health care. Identification of high-risk individuals is essential for the development of CDI prevention strategies. The objective of this study was to develop an easily implementable risk prediction model for hospital-onset CDI in patients receiving systemic antimicrobials.