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Search Results for Sepsis
Abstract Number: 159
Hospital Medicine 2020, Virtual Competition
Background: Sepsis is one of the most common causes for adult emergency department admissions and carries high morbidity and mortality. Appropriate and timely administration of intravenous (IV) antibiotics is one of the cornerstones of initial management of sepsis. Indeed, mortality has been shown to increase by 7-14% for each hour of delay in antibiotic administration. […]
Abstract Number: 166
Hospital Medicine 2020, Virtual Competition
Background: Sepsis is a leading cause of hospital death and readmission (1-2). Prior work has suggested that early, adequate intravenous fluid (IVF) administration during sepsis care is associated with lower mortality, even among those at risk for fluid overload (including patients with chronic kidney disease [CKD] or heart failure [HF]) (3). At the same time, […]
Abstract Number: 174
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Depending on the criterion applied, the systemic inflammatory response syndrome (SIRS) criteria and the Sequential Organ Failure Assessment (SOFA) criteria initially identify distinct populations that present to the emergency department (ED) with suspected sepsis (Prasad et al., SHM 2018). Our work has shown that 52% of patients meet SIRS criteria first and 48% meet […]
Abstract Number: 180
Hospital Medicine 2018; April 8-11; Orlando, Fla.
Background: The clinical evaluation of febrile neonates ≤ 60 days has been extensively debated in the age of doing less invasive testing to yield the same clinical outcomes with fewer complications. Rates of serious bacterial infections (SBI) in this population have been reported to be between 8.5% and 12%, and up to 20% in neonates […]
Abstract Number: 188
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Sepsis is a significant cause of morbidity and mortality in hospitalized patients . Early and appropriate therapy has been shown to improve outcomes, making early diagnosis and intervention critical . However, recognition and treatment of sepsis remains a challenge . In order to understand how to best deliver sepsis treatment in different hospitals within […]
Abstract Number: 208
SHM Converge 2024
Background: Septic shock is a significant burden: average length of stay (LOS) for sepsis patients in US hospitals is 75% greater than most other conditions. Mean LOS dramatically increases with sepsis severity: 4.5 days for sepsis, 6.5 for severe sepsis, and 16.5 for septic shock. Administration of antibiotics in < 1 hour after presentation at […]
Abstract Number: 208
Hospital Medicine 2016, March 6-9, San Diego, Calif.
Background: Despite widespread awareness of best practices in the early management of sepsis, sepsis continues to burden our healthcare systems with high mortality, prolonged length of stay and excessive cost. Early recognition of sepsis and adherence to evidence-based initial resuscitation protocols is known to reduce both mortality and costs associated with care. In 2013, a […]
Abstract Number: 227
SHM Converge 2023
Background: Sepsis is the leading cause of death in US hospitals; prompt recognition and treatment are critical. Early sepsis recognition and treatment varies depending on location (ED/floor/ICU) and evaluation time (presentation vs during stay). “Sepsis response teams” (SRT) improve sepsis care. After our hospital system implemented a “best-practice alert” utilizing Epic’s “sepsis score” (SS) to […]
Abstract Number: 231
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: Sepsis is a leading cause of death among hospitalized patients. Early detection of sepsis has the potential to reduce mortality by facilitating timely evidence-based interventions. Past studies have used electronic health records (EHR) to trigger alerts at the onset of sepsis, or to predict general clinical deterioration. In this study we describe the impact […]
Abstract Number: 232
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: Sepsis is a leading cause of mortality among hospitalized patients. Early detection and intervention reduces sepsis-related mortality. We implemented a novel early warning system (EWS 2.0) based on a machine-learning algorithm to prospectively identify patients with increased risk of severe sepsis or septic shock. Validation suggested excellent predictive characteristics, including a positive likelihood ratio […]