Ontology highlight
ABSTRACT: Objective
To evaluate the impact of changes in the size and characteristics of the hospitalized patient population during the COVID-19 pandemic on the incidence of hospital-associated Clostridioides difficile infection (HA-CDI).Design
Interrupted time-series analysis.Setting
A 576-bed academic medical center in Portland, Oregon.Methods
We established March 23, 2020 as our pandemic onset and included 24 pre-pandemic and 24 pandemic-era 30-day intervals. We built an autoregressive segmented regression model to evaluate immediate and gradual changes in HA-CDI rate during the pandemic while controlling for changes in known CDI risk factors.Results
We observed 4.5 HA-CDI cases per 10,000 patient-days in the two years prior to the pandemic and 4.7 c
SUBMITTER: Ray MJ
PROVIDER: S-EPMC11663470 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature