Objective: We sought to compare the quick sequential organ failure assessment (qSOFA) to systemic inflammatory response syndrome (SIRS), severe sepsis criteria and lactate levels for their ability to identify ED patients with sepsis with critical illness.
Methods: We conducted this multicenter retrospective cohort study at five US hospitals, enrolling all adult patients admitted to these hospitals from their EDs with infectious disease-related illnesses from 1 January 2016 to 30 April 2016. We abstracted clinical variables for SIRS, severe sepsis and qSOFA scores, using values in the first 6 hours of ED stay. Our primary outcome was critical illness, defined as one or more of the composite outcomes of death, vasopressor use or intensive care unit (ICU) admission within 72 hours of presentation. We determined diagnostic test characteristics for qSOFA scores, SIRS, severe sepsis criteria and lactate level thresholds.
Main Results: Of 3743 enrolled patients, 512 (13.7%) had the primary composite outcome. The qSOFA scores were ≥1, >2 and 3 in 1839 (49.1%), 626 (16.7%) and 146 (3.9%) patients, respectively; 2202 (58.8%) met SIRS criteria and 1085 (29.0%) met severe sepsis criteria. qSOFA 1 and SIRS had similarly high sensitivity [86.1% (95% CI 82.8% to 89.0%) vs 86.7% (95% CI 83.5% to 89.5%)], but qSOFA ≥1 had higher specificity [56.7% (95% CI 55.0% to 58.5%) vs 45.6% (43.9% to 47.3%); mean difference 11.1% (95% CI 8.7% to 13.6%)]. qSOFA 2 had higher specificity than severe sepsis criteria [89.1% (88.0% to 90.2%) vs 77.5% (76.0% to 78.9%); mean difference 11.6% (9.8% to 13.4%)]. qSOFA 1 had greater sensitivity than a lactate level ≥2 (mean difference 24.6% (19.2% to 29.9%)).
Conclusion: For patients admitted from the ED with infectious disease diagnoses, qSOFA criteria performed as well or better than SIRS criteria, severe sepsis criteria and lactate levels in predicting critical illness.
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http://dx.doi.org/10.1136/emermed-2017-207383 | DOI Listing |
Expert Rev Mol Diagn
January 2025
Hebei Provincial Center for Clinical Laboratories, Shijiazhuang, China, the Second Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, People's Republic of China.
Introduction: Rapid and accurate laboratory diagnosis is essential for the effective treatment of bloodstream infection (BSI).
Areas Covered: This review aims to address novel and traditional approaches that exhibit different performance characteristics in the diagnosis of BSI. In particular, the authors will discuss the pros and cons of the blood culture-based phenotypic methods, nucleic acid-targeted molecular methods, and host response-targeted biomarker detection in the diagnosis of BSI.
Rationale: WW domain-containing oxidoreductase ( ) is a gene associated implicated in both neurologic and inflammatory diseases and is susceptible to environmental stressors. We hypothesize partial loss of Wwox function will result in increased sepsis severity and neuroinflammation.
Methods: mice, generated by CRISPR/Cas9, and mice were treated with intraperitoneal PBS vs LPS (10mg/kg) and euthanized 12 hours post-injection.
Public health alarm concerning the emerging fungus is fueled by its antifungal drug resistance and propensity to cause deadly outbreaks. Persistent skin colonization drives transmission and lethal sepsis although its basis remains mysterious. We compared the skin colonization dynamics of with its relative , quantifying skin fungal persistence and distribution and immune composition and positioning.
View Article and Find Full Text PDFRadiol Case Rep
March 2025
Maimonides Medical Center, Brooklyn, NY, USA.
Thoracic aortic pseudoaneurysms are a rare but serious complication of infectious processes, often resulting from mycotic (infectious) aneurysms, occurring when the vessel wall is compromised by an infection, leading to the formation of a pseudoaneurysm [1]. Mycotic aneurysms typically result from bacteremia or fungemia, with common sources being infective endocarditis or other systemic infections. Tuberculosis, though a common infectious disease worldwide, is an unusual cause of aortic pseudoaneurysm formation.
View Article and Find Full Text PDFJ Inflamm Res
January 2025
Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People's Republic of China.
Background: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. Identifying early predictors of sepsis is crucial for timely intervention. This study aimed to develop and validate a predictive model for sepsis risk in leukemia patients using machine learning techniques.
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