ArticleChest2019
Epidemiology of Quick Sequential Organ Failure Assessment Criteria in Undifferentiated Patients and Association With Suspected Infection and Sepsis.
Article in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04438187 (Trial of Antimicrobial Restraint in Presumed Pneumonia), which is not on this map. Cited by 25 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Trial of Antimicrobial Restraint in Presumed Pneumonia
Who cites it
25 citing papers in PubMed.
- The association between hematocrit-albumin gap and sepsis risk in ICU patients: a multicenter cross-sectional study.Frontiers in medicine · 2026Article
- Development and validation of QuadraSynth ML: a novel classifier for sepsis prediction.Frontiers in cellular and infection microbiology · 2026Article
- A Host-Clinical Integrated Prediction Model for Early Sepsis Risk in Diabetic Patients with Acute Infections: Development and Internal Validation.Journal of inflammation research · 2026Article
- Prognostic and clinical indicators of sepsis outcomes in hospitalized patients: a cross-sectional study.BMC infectious diseases · 2025Article
- Complex Sepsis Presentations, SEP-1 Compliance, and Outcomes.JAMA network open · 2025Article
- A Screening Tool to Predict Sepsis in Patients With Suspected Infection in the Emergency Department.Cureus · 2025Article
- Analysis of the SOFA score, quick-SOFA, and SIRS criteria in burn patients with infection.Revista brasileira de enfermagem · 2025Article
- Understanding the value of monocyte distribution width (MDW) in acutely ill medical patients presenting to the emergency department: a prospective single center evaluation.Scientific reports · 2024Article
- Timing of antibiotic treatment identifies distinct clinical presentations among patients presenting with suspected septic shock.Journal of the American College of Emergency Physicians open · 2024Article
- Machine Learning Predictive Model for Septic Shock in Acute Pancreatitis with Sepsis.Journal of inflammation research · 2024Article
- The application of artificial intelligence in the management of sepsis.Medical review (2021) · 2023Review
- A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit.BMC medical informatics and decision making · 2023Article
- Article
- Clinical applications of machine learning in the survival prediction and classification of sepsis: coagulation and heparin usage matter.Journal of translational medicine · 2022Article
- Monocyte distribution width as part of a broad pragmatic sepsis screen in the emergency department.Journal of the American College of Emergency Physicians open · 2022Article
- The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020).Journal of intensive care · 2021Article
- Identifying the Sickest During Triage: Using Point-of-Care Severity Scores to Predict Prognosis in Emergency Department Patients With Suspected Sepsis.Journal of hospital medicine · 2021Article
- The Surviving Sepsis Campaign: research priorities for the administration, epidemiology, scoring and identification of sepsis.Intensive care medicine experimental · 2021Review
- Monocyte distribution width (MDW) performance as an early sepsis indicator in the emergency department: comparison with CRP and procalcitonin in a multicenter international European prospective study.Critical care (London, England) · 2021Article
- Positioning the role of qSOFA for screening and prognostication in critically ill medical and surgical patients with suspected sepsis.African journal of thoracic and critical care medicine · 2021Article
Corrections and comments
Authors and funding
6 authors.
Funding
Abstract
backgroundThe role of Quick Sequential Organ Failure Assessment (qSOFA) criteria in sepsis screening and management is controversial, particularly as they were derived only in patients with suspected infection. We examined the epidemiology and prognostic value of qSOFA in undifferentiated patients.
methodsWe identified patients with ≥ 2 qSOFA criteria within 1 day of admission among all adults admitted to 85 US hospitals from 2012 to 2015 and assessed for suspected infection (using clinical cultures and administration of antibiotics) and sepsis (as defined on the basis of Sepsis-3 criteria). We also examined the discrimination of qSOFA for in-hospital mortality among patients with and without suspected infection, using regression models.
resultsOf 1,004,347 hospitalized patients, 271,500 (27.0%) were qSOFA-positive on admission. Compared with qSOFA-negative patients, qSOFA-positive patients were older (median age, 65 vs 58 years), required ICU admission more often (28.5% vs 6.5%), and had higher mortality (6.7% vs 0.8%) (P < .001 for all comparisons). Sensitivities of qSOFA for suspected infection and sepsis were 41.3% (95% CI, 41.1%-41.5%) and 62.8% (95% CI, 62.4%-63.1%), respectively; positive predictive values were 31.0% (95% CI, 30.8%-31.1%) and 17.4% (95% CI, 17.2%-17.5%). The area under the receiver operating characteristic curve for mortality was lower for qSOFA in patients with suspected infection vs those without (0.814 vs 0.875; P < .001).
conclusionsOnly one in three patients who are qSOFA-positive on admission has suspected infection, and one in six has sepsis. qSOFA also has low sensitivity for identifying suspected infection and sepsis, and its prognostic significance is not specific to infection. More sensitive and specific tools for sepsis screening and risk stratification are needed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.