Literature DB >> 32530356

NEWS and qSIRS superior to qSOFA in the prediction of 30-day mortality in emergency department patients in Hong Kong.

Colin A Graham1, Ling Yan Leung1, Ronson Sze Long Lo1, Chun Yu Yeung1, Suet Yi Chan1, Kevin Kei Ching Hung1.   

Abstract

BACKGROUND: We aim to compare the prognostic value of Quick Sepsis-Related Organ Failure Assessment (qSOFA) and the previous Systemic Inflammatory Response Syndrome (SIRS) criteria, the National Early Warning Score (NEWS) and along with their combinations in the emergency department (ED).
METHODS: This single-centre prospective study recruited a convenience sample of unselected ED patients triaged as category 2 (Emergency) and 3 (Urgent). Receiver Operating Characteristic analyses were performed to determine the Area Under the Curve (AUC), along with sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios for the various scores.
RESULTS: Of 1253 patients recruited, overall 30-day mortality was 5.7%. The prognostic value for prediction of 30-day mortality, with AUCs for qSOFA ≥2, SIRS ≥2, NEWS ≥5, qSIRS (qSOFA + SIRS) ≥2 and NSIRS (NEWS + SIRS) ≥5 of 0.56 (95%CI 0.53-0.58), 0.61 (95%CI 0.58-0.64), 0.61 (95%CI 0.58-0.64), 0.64 (95%CI 0.62-0.67) and 0.61 (95%CI 0.58-0.63), respectively. Using pairwise comparisons of ROC curves, NEWS ≥5 and qSIRS ≥2 were better than qSOFA ≥2 at predicting 30-day mortality.
CONCLUSIONS: Among unselected emergency and urgent ED patients, the prognostic value for NEWS and qSIRS were greater than qSOFA, Combinations of qSOFA and SIRS could improve the predictive value for 30-day mortality for ED patients. Key messages NEWS ≥5 and qSIRS ≥2 were better than qSOFA ≥2 at predicting 30-day mortality in ED patients. Combinations of qSOFA and SIRS could improve the predictive value for 30-day mortality for ED patients.

Entities:  

Keywords:  NEWS; NSIRS; SIRS; emergency department; lactate; qSIRS; qSOFA

Year:  2020        PMID: 32530356      PMCID: PMC7877938          DOI: 10.1080/07853890.2020.1782462

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  19 in total

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3.  qSOFA, SIRS and NEWS for predicting inhospital mortality and ICU admission in emergency admissions treated as sepsis.

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Journal:  Emerg Med J       Date:  2018-02-21       Impact factor: 2.740

4.  Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit.

Authors:  Matthew M Churpek; Ashley Snyder; Xuan Han; Sarah Sokol; Natasha Pettit; Michael D Howell; Dana P Edelson
Journal:  Am J Respir Crit Care Med       Date:  2017-04-01       Impact factor: 21.405

Review 5.  2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference.

Authors:  Mitchell M Levy; Mitchell P Fink; John C Marshall; Edward Abraham; Derek Angus; Deborah Cook; Jonathan Cohen; Steven M Opal; Jean-Louis Vincent; Graham Ramsay
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6.  Prognostic Accuracy of Sepsis-3 Criteria for In-Hospital Mortality Among Patients With Suspected Infection Presenting to the Emergency Department.

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Journal:  JAMA       Date:  2017-01-17       Impact factor: 56.272

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9.  Serum Lactate Predicts Adverse Outcomes in Emergency Department Patients With and Without Infection.

Authors:  Kimie Oedorf; Danielle E Day; Yotam Lior; Victor Novack; Leon D Sanchez; Richard E Wolfe; Hans Kirkegaard; Nathan I Shapiro; Daniel J Henning
Journal:  West J Emerg Med       Date:  2016-12-07

10.  Comparison of qSOFA and SIRS for predicting adverse outcomes of patients with suspicion of sepsis outside the intensive care unit.

Authors:  Eli J Finkelsztein; Daniel S Jones; Kevin C Ma; Maria A Pabón; Tatiana Delgado; Kiichi Nakahira; John E Arbo; David A Berlin; Edward J Schenck; Augustine M K Choi; Ilias I Siempos
Journal:  Crit Care       Date:  2017-03-26       Impact factor: 9.097

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