Background: There is growing awareness that sex differences are associated with different patient outcomes in a variety of diseases. Studies investigating the effect of patient sex on sepsis-related mortality remain inconclusive and mainly focus on patients with severe sepsis and septic shock in the intensive care unit. We therefore investigated the association between patient sex and both clinical presentation and 30-day mortality in patients with the whole spectrum of sepsis severity presenting to the emergency department (ED) who were admitted to the hospital.
View Article and Find Full Text PDFIntroduction: Patients with sepsis who present to an emergency department (ED) have highly variable underlying disease severity, and can be categorized from low to high risk. Development of a risk stratification tool for these patients is important for appropriate triage and early treatment. The aim of this study was to develop machine learning models predicting 31-day mortality in patients presenting to the ED with sepsis and to compare these to internal medicine physicians and clinical risk scores.
View Article and Find Full Text PDFObjective: Sepsis is a serious disease leading to high mortality. Early recognition is important because treatment is most effective when started quickly.The primary aim of this retrospective cohort study was to assess how many sepsis patients are documented as septic by ambulance staff.
View Article and Find Full Text PDF