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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedLang K, Atchison TJ, Singh P
Describing the monthly variability of hospital-onset Clostridioides difficile during early coronavirus disease 2019 (COVID-19) using electronic health record data.
The objectives of this retrospective cohort study were to assess the relative risk of hospital-onset Clostridioides difficile (HO-CDI) during the early months of the coronavirus 2019 (COVID-19) pandemic and to compare it with historical expectation based on patient characteristics. Secondary data was collected from the Ohio State University Wexner Medical Center electronic health records on adult patients admitted to the inpatient setting between January 2018 and May 2021. The results indicated that variations in HO-CDI incidence seemed to trend with COVID-19 incidence, but were not fully explained by the study’s case mix. The authors concluded that other factors contributing to variability in HO-CDI incidence needed to be explored.
AHRQ-funded; HS027200.
Citation: Lang K, Atchison TJ, Singh P .
Describing the monthly variability of hospital-onset Clostridioides difficile during early coronavirus disease 2019 (COVID-19) using electronic health record data.
Infect Control Hosp Epidemiol 2024 Mar; 45(3):329-34. doi: 10.1017/ice.2023.171.
Keywords: Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), COVID-19, Infectious Diseases
Miller AC, Koeneman SH, Suneja M
Diurnal temperature variation and the implications for diagnosis and infectious disease screening: a population-based study.
This study’s objective was to describe individual variation in diurnal temperature patterns during episodes of febrile activity using millions of recorded temperatures and evaluate the probability of recording a fever by sex and for different age groups. The authors used timestamped deidentified temperature readings from thermometers across the US to construct illness episodes where continuous periods of activity in a single user included a febrile reading. They modeled the mean temperature recorded and probability of registering a fever across the course of a day using sinusoidal regression models while accounting for user age and sex. They then estimated the probability of recording a fever by time of day for children, working-age adults, and older adults. They found wide variation in body temperatures over the course of a day and across individual characteristics, with temperature patterns differing between men and women, and average temperatures declining for older age groups. There was a wide variation of the likelihood of fever detection by the time of day and by an individual’s age or sex.
AHRQ-authored; HS027375.
Citation: Miller AC, Koeneman SH, Suneja M .
Diurnal temperature variation and the implications for diagnosis and infectious disease screening: a population-based study.
Diagnosis 2024 Feb 1; 11(1):54-62. doi: 10.1515/dx-2023-0074.
Keywords: Infectious Diseases, Screening