Unknown

Dataset Information

Examining the impact of the COVID-19 pandemic on hospital-associated <i>Clostridioides difficile</i> infection.


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