Study Objective: Proposed national performance measures for severe sepsis or septic shock include interventions within 3 hours of emergency department (ED) arrival rather than from time of first meeting diagnostic criteria. We aim to determine the percentage of ED patients who first meet criteria greater than 3 hours after arrival.
Methods: We conducted a retrospective analysis of adult patients with severe sepsis or septic shock in 2 EDs (university hospital [September 2012 to June 2013] and public trauma center [December 2012 to May 2013]). Times of ED arrival and first meeting clinical criteria were collected for quality assurance programs, which differed between institutions. At the university hospital, patients with admission diagnoses consistent with infection were included. Clinical presentation was defined as time meeting 2 or more systemic inflammatory response syndrome criteria and evidence of end-organ dysfunction. At the trauma center, only patients with hospital discharge diagnoses consistent with infection were included. Clinical presentation was defined by time of end-organ dysfunction.
Results: Three hundred seventy-two patients met inclusion criteria at the university hospital and 133 at the trauma center. Median times from ED arrival to first meeting criteria were 68 minutes (interquartile range 34 to 130 minutes) and 31 minutes (interquartile range 8 to 73 minutes), respectively; 15.3% (95% confidence interval 11.9% to 19.3%) and 9.8% (95% confidence interval 5.5% to 15.7%) first met criteria greater than 3 hours from ED arrival, respectively.
Conclusion: Compliance with a performance metric for severe sepsis and septic shock within 3 hours of ED arrival would require application of this measure to patients who do not meet diagnostic criteria, potentially resulting in unnecessary interventions. Measure developers should consider these findings.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.annemergmed.2014.02.023 | DOI Listing |
Tissue Barriers
January 2025
Sepsis Translational Medicine Key Laboratory of Hunan Province, Department of Pathophysiology, School of Basic Medicine Science, Central South University, Changsha, Hunan, PR China.
Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are the result of an exaggerated inflammatory response triggered by a variety of pulmonary and systemic insults. The lung tissues are comprised of a variety of cell types, including alveolar epithelial cells, pulmonary vascular endothelial cells, macrophages, neutrophils, and others. There is mounting evidence that these diverse cell populations within the lung interact to regulate lung inflammation in response to both direct and indirect stimuli.
View Article and Find Full Text PDFAnn Intensive Care
January 2025
Department of Intensive Care Medicine, Universitaire Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Background: Continuous veno-venous hemodiafiltration (CVVHDF) is used in critically ill patients, but its impact on O₂ and CO₂ removal, as well as the accuracy of resting energy expenditure (REE) measurement using indirect calorimetry (IC) remains unclear. This study aims to evaluate the effects of CVVHDF on O₂ and CO₂ removal and the accuracy of REE measurement using IC in patients undergoing continuous renal replacement therapy.
Design: Prospective, observational, single-center study.
Forensic Sci Med Pathol
January 2025
Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Via Irnerio 49, 40126, Bologna, Italy.
The diagnosis of septic arthritis remains challenging in the clinical setting, often leading to a suspicion for medical liability. Our purpose is to describe an unusual case of a post-mortem diagnosis of P. multocida fatal septic arthritis, in a healthy 67-year-old woman presenting with pain in the right shoulder.
View Article and Find Full Text PDFAnn Emerg Med
January 2025
Department of Emergency Medicine, Kaiser Permanente San Diego Medical Center, San Diego, CA.
Study Objective: This study analyzes emergency medicine airway management trends and outcomes among community emergency departments.
Methods: A multicenter, retrospective chart review was conducted on 11,475 intubations from 15 different community emergency departments between January 1, 2015, and December 31, 2022. Data collected included patient's age, sex, rapid sequence intubation medications, use of cricoid pressure, method of intubation, number of attempts, admission diagnosis, and all-cause mortality rates.
J Clin Med
January 2025
Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy.
Sepsis is one of the leading causes of mortality in hospital settings, and early diagnosis is a crucial challenge to improve clinical outcomes. Artificial intelligence (AI) is emerging as a valuable resource to address this challenge, with numerous investigations exploring its application to predict and diagnose sepsis early, as well as personalizing its treatment. Machine learning (ML) models are able to use clinical data collected from hospital Electronic Health Records or continuous monitoring to predict patients at risk of sepsis hours before the onset of symptoms.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!