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Comparison of QSOFA and Hospital Early Warning Scores for Prognosis in Suspected Sepsis in Emergency Department Patients: a Systematic Review

Overview
Journal Emerg Med J
Specialty Emergency Medicine
Date 2021 Aug 18
PMID 34404680
Citations 14
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Abstract

Background: Sepsis is a major cause of morbidity and mortality and many tools exist to facilitate early recognition. This review compares two tools: the quick Sequential Organ Failure Assessment (qSOFA) and Early Warning Scores (National/Modified Early Warning Scores (NEWS/MEWS)) for predicting intensive care unit (ICU) admission and mortality when applied in the emergency department.

Methods: A literature search was conducted using Medline, CINAHL, Embase and Cochrane Library, handsearching of references and a grey literature search with no language or date restrictions. Two authors selected studies and quality assessment completed using QUADAS-2. Area under the receiver operating characteristic curve (AUROC), sensitivities and specificities were compared.

Results: 13 studies were included, totalling 403 865 patients. All reported mortality and six reported ICU admission.The ranges for AUROC estimates varied from little better than chance to good prediction of mortality (NEWS: 0.59-0.88; qSOFA: 0.57-0.79; MEWS 0.56-0.75), however, individual papers generally reported higher AUROC values for NEWS than qSOFA. NEWS values demonstrated a tendency towards better sensitivity for ICU admission (NEWS ≥5, 46%-91%; qSOFA ≥2, 12%-53%) and mortality (NEWS ≥5, 51%-97%; qSOFA ≥2, 14%-71%) but lower specificity (ICU: NEWS ≥5, 25%-91%; qSOFA ≥2, 67%-99%; mortality: NEWS ≥5, 22%-91%; qSOFA ≥2, 58%-99%).

Conclusion: The wide range of AUROC estimates and high heterogeneity limit our conclusions. Allowing for this, the NEWS AUROC was consistently higher than qSOFA within individual papers. Both scores allow threshold setting, determined by the preferred compromise between sensitivity and specificity. At established thresholds NEWS tended to higher sensitivity while qSOFA tended to a higher specificity.

Prospero Registration Number: CRD42019131414.

Citing Articles

Modified National Early Warning Scores (MNEWS) for Predicting the Outcomes of Suspected Sepsis Patients; A Prospective Cohort Study.

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PMID: 39958963 PMC: 11829233. DOI: 10.22037/aaemj.v13i1.2407.


Development and Validation of a Machine Learning Model for Early Prediction of Sepsis Onset in Hospital Inpatients from All Departments.

Thiboud P, Francois Q, Faure C, Chaufferin G, Arribe B, Ettahar N Diagnostics (Basel). 2025; 15(3).

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Liu Z, Shu W, Li T, Zhang X, Chong W Sci Rep. 2025; 15(1):887.

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Characteristics of a revised quick sequential organ failure assessment score (RqSOFA) to predict in-hospital mortality of patients visiting the emergency department via ambulance: an observational cohort study.

Kamikawa Y, Hayashi H, Bone J, Goldman R Intern Emerg Med. 2024; .

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Comparing 11 early warning scores and three shock indices in early sepsis prediction in the emergency department.

Lam R, Dai Z, Lau E, Ip C, Chan H, Zhao L World J Emerg Med. 2024; 15(4):273-282.

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