TY - JOUR
T1 - Describing the monthly variability of hospital-onset Clostridioides difficile during early coronavirus disease 2019 (COVID-19) using electronic health record data
AU - Lang, Kaiting
AU - Atchison, T. J.
AU - Singh, Priti
AU - Kline, David M.
AU - Odei, James B.
AU - Martin, Jennifer L.
AU - Smyer, Justin F.
AU - Day, Shandra R.
AU - Hebert, Courtney L.
N1 - Publisher Copyright:
© The Author(s), 2023.
PY - 2024/3/9
Y1 - 2024/3/9
N2 - Objective: To assess the relative risk of hospital-onset Clostridioides difficile (HO-CDI) during each month of the early coronavirus disease 2019 (COVID-19) pandemic and to compare it with historical expectation based on patient characteristics. Design: This study used a retrospective cohort design. We collected secondary data from the institution’s electronic health record (EHR). Setting: The Ohio State University Wexner Medical Center, Ohio, a large tertiary healthcare system in the Midwest. Patients or participants: All adult patients admitted to the inpatient setting between January 2018 and May 2021 were eligible for the study. Prisoners, children, individuals presenting with Clostridioides difficile on admission, and patients with <4 days of inpatient stay were excluded from the study. Results: After controlling for patient characteristics, the observed numbers of HO-CDI cases were not significantly different than expected. However, during 3 months of the pandemic period, the observed numbers of cases were significantly different from what would be expected based on patient characteristics. Of these 3 months, 2 months had more cases than expected and 1 month had fewer. Conclusions: Variations in HO-CDI incidence seemed to trend with COVID-19 incidence but were not fully explained by our case mix. Other factors contributing to the variability in HO-CDI incidence beyond listed patient characteristics need to be explored.
AB - Objective: To assess the relative risk of hospital-onset Clostridioides difficile (HO-CDI) during each month of the early coronavirus disease 2019 (COVID-19) pandemic and to compare it with historical expectation based on patient characteristics. Design: This study used a retrospective cohort design. We collected secondary data from the institution’s electronic health record (EHR). Setting: The Ohio State University Wexner Medical Center, Ohio, a large tertiary healthcare system in the Midwest. Patients or participants: All adult patients admitted to the inpatient setting between January 2018 and May 2021 were eligible for the study. Prisoners, children, individuals presenting with Clostridioides difficile on admission, and patients with <4 days of inpatient stay were excluded from the study. Results: After controlling for patient characteristics, the observed numbers of HO-CDI cases were not significantly different than expected. However, during 3 months of the pandemic period, the observed numbers of cases were significantly different from what would be expected based on patient characteristics. Of these 3 months, 2 months had more cases than expected and 1 month had fewer. Conclusions: Variations in HO-CDI incidence seemed to trend with COVID-19 incidence but were not fully explained by our case mix. Other factors contributing to the variability in HO-CDI incidence beyond listed patient characteristics need to be explored.
UR - http://www.scopus.com/inward/record.url?scp=85174067974&partnerID=8YFLogxK
U2 - 10.1017/ice.2023.171
DO - 10.1017/ice.2023.171
M3 - Article
C2 - 37807908
AN - SCOPUS:85174067974
SN - 0899-823X
VL - 45
SP - 329
EP - 334
JO - Infection Control and Hospital Epidemiology
JF - Infection Control and Hospital Epidemiology
IS - 3
ER -