Background: Sepsis is a leading cause of hospital mortality and there is evidence that outcomes vary by patient demographics including race and gender. Our objectives were to determine whether the introduction of a standardized sepsis order set was associated with (1) changes in overall mortality or early antibiotic administration or (2) changes in outcome disparities based on race or gender.
Methods: Patients seen in the emergency department and admitted to the hospital with a diagnosis code of sepsis were identified and divided into a preintervention cohort seen during the 18 months prior to the initiation of a new sepsis order set and an intervention cohort seen during the 18 months after a quality initiative driven by introducing the order set. Associations between time period, race, gender, and mortality were assessed using univariate and multivariate logistic regression models. Other outcomes included early antibiotic administration (<3 h from arrival).
Results: Overall mortality was unchanged during the intervention period (7.8% vs. 7.2%) in both univariate (relative risk [RR] 1.08, 95% confidence interval [CI] 0.93-1.26) and multivariate logistic regression (RR 1.11, 95% CI 0.93-1.28) models. Although male gender tended to have higher mortality, there was no statistically significant association between gender and mortality in either cohort. In the multivariable model, Black race was associated with increased risk of death in the preintervention period (RR 1.41, 95% CI 1.02-1.94), but this association was not present in the intervention period. Patients of color also saw significantly more improvement in early antibiotic administration during the intervention period than White patients.
Conclusions: An order set-driven sepsis initiative was not associated with overall improved mortality but was associated with decreased racial disparities in sepsis mortality and early antibiotics.
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http://dx.doi.org/10.1111/acem.15083 | DOI Listing |
In sensory and mid-level regions of the brain, stimulus information is often topographically organized; functional responses are arranged in maps according to features such as retinal coordinates, auditory pitch, and object animacy or size. However, such organization is typically measured during stimulus input, e.g.
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January 2025
Innovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of Technology, Qingdao, 266033, People's Republic of China.
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UC Health, Cincinnati, Ohio; University of Cincinnati, College of Medicine, Cincinnati, Ohio.
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To use electronic health record (EHR) data to develop a scalable and transferrable model to predict 6-month risk for diabetic ketoacidosis (DKA)-related hospitalization or emergency care in youth with type 1 diabetes (T1D). To achieve a sharable predictive model, we engineered features using EHR data mapped to the T1D Exchange Quality Improvement Collaborative's (T1DX-QI) data schema used by 60+ U.S.
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