Literature DB >> 34328843

Identifying the Sickest During Triage: Using Point-of-Care Severity Scores to Predict Prognosis in Emergency Department Patients With Suspected Sepsis.

Priya A Prasad1, Margaret C Fang1, Sandra P Martinez1, Kathleen D Liu2, Kirsten N Kangelaris1.   

Abstract

BACKGROUND: Sepsis progresses rapidly and is associated with considerable morbidity and mortality. Bedside risk stratification scores can quickly identify patients at greatest risk of poor outcomes; however, there is lack of consensus on the best scale to use.
OBJECTIVE: To compare the ability of quick Sequential Organ Failure Assessment (qSOFA), the National Early Warning System (NEWS2), and the Shock Index-which does not require mental status assessment-to predict poor outcomes among patients with suspected sepsis during triage. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of adults presenting to an academic emergency department (ED) from June 2012 to December 2018 who had blood cultures and intravenous antibiotics within 24 hours. MAIN OUTCOMES AND MEASURES: Clinical data were collected from the electronic health record. Patients were considered positive at qSOFA ≥2, Shock Index >0.7, or NEWS2 ≥5 scores. We calculated test characteristics and area under the receiver operating characteristics curves (AUROCs) to predict in-hospital mortality and ED-to-intensive care unit (ICU) admission.
RESULTS: We included 23,837 ED patients; 1,921(8.1%) were qSOFA-positive, 4,273 (17.9%) Shock Index-positive, and 11,832 (49.6%) NEWS2-positive. There were 1,427 (6.0%) deaths and 3,149 (13.2%) ED-to-ICU admissions in the sample. NEWS2 had the highest sensitivity for in-hospital mortality (76.0%) and ED-to-ICU admission (78.9%). qSOFA had the highest specificity for in-hospital mortality (93.4%) and ED-to-ICU admission (95.2%). Shock Index exhibited the highest AUROC for in-hospital mortality (0.648; 95 CI, 0.635-0.662) and ED-to-ICU admission (0.680; 95% CI, 0.617-0.689). Test characteristics were similar among those with sepsis.
CONCLUSIONS: Institution priorities should drive score selection, balancing sensitivity and specificity. In our study, qSOFA was highly specific and NEWS2 was the most sensitive for ruling out patients at high risk. Performance of the Shock Index fell between qSOFA and NEWS2 and could be considered because it is easy to implement.

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Year:  2021        PMID: 34328843      PMCID: PMC8340957          DOI: 10.12788/jhm.3642

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.899


  36 in total

1.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
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2.  Epidemiology of Quick Sequential Organ Failure Assessment Criteria in Undifferentiated Patients and Association With Suspected Infection and Sepsis.

Authors:  Vijay Anand; Zilu Zhang; Sameer S Kadri; Michael Klompas; Chanu Rhee
Journal:  Chest       Date:  2019-04-09       Impact factor: 9.410

3.  Time to Treatment and Mortality during Mandated Emergency Care for Sepsis.

Authors:  Christopher W Seymour; Foster Gesten; Hallie C Prescott; Marcus E Friedrich; Theodore J Iwashyna; Gary S Phillips; Stanley Lemeshow; Tiffany Osborn; Kathleen M Terry; Mitchell M Levy
Journal:  N Engl J Med       Date:  2017-05-21       Impact factor: 91.245

4.  Sepsis Screening: Combining Early Warning Scores and SIRS Criteria.

Authors:  Corrie Kangas; Lindsay Iverson; Dustin Pierce
Journal:  Clin Nurs Res       Date:  2019-01-17       Impact factor: 2.075

5.  qSOFA as predictor of mortality and prolonged ICU admission in Emergency Department patients with suspected infection.

Authors:  Emmanuel Canet; David McD Taylor; Richard Khor; Vivek Krishnan; Rinaldo Bellomo
Journal:  J Crit Care       Date:  2018-08-21       Impact factor: 3.425

6.  Prognostic Accuracy of Sepsis-3 Criteria for In-Hospital Mortality Among Patients With Suspected Infection Presenting to the Emergency Department.

Authors:  Yonathan Freund; Najla Lemachatti; Evguenia Krastinova; Marie Van Laer; Yann-Erick Claessens; Aurélie Avondo; Céline Occelli; Anne-Laure Feral-Pierssens; Jennifer Truchot; Mar Ortega; Bruno Carneiro; Julie Pernet; Pierre-Géraud Claret; Fabrice Dami; Ben Bloom; Bruno Riou; Sébastien Beaune
Journal:  JAMA       Date:  2017-01-17       Impact factor: 56.272

7.  A comparison of pre ICU admission SIRS, EWS and q SOFA scores for predicting mortality and length of stay in ICU.

Authors:  Shahla Siddiqui; Maureen Chua; Venkatesan Kumaresh; Robin Choo
Journal:  J Crit Care       Date:  2017-05-25       Impact factor: 3.425

Review 8.  The role of stepdown beds in hospital care.

Authors:  Meghan Prin; Hannah Wunsch
Journal:  Am J Respir Crit Care Med       Date:  2014-12-01       Impact factor: 21.405

9.  Prognostic accuracy of qSOFA in predicting 28-day mortality among infected patients in an emergency department: a prospective validation study.

Authors:  S M Osama Bin Abdullah; Rune Husås Sørensen; Ram Benny Christian Dessau; Saifullah Muhammed Rafid Us Sattar; Lothar Wiese; Finn Erland Nielsen
Journal:  Emerg Med J       Date:  2019-10-25       Impact factor: 2.740

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
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  2 in total

1.  A comparison of qSOFA, SIRS and NEWS in predicting the accuracy of mortality in patients with suspected sepsis: A meta-analysis.

Authors:  Can Wang; Rufu Xu; Yuerong Zeng; Yu Zhao; Xuelian Hu
Journal:  PLoS One       Date:  2022-04-15       Impact factor: 3.752

2.  [A cross-sectional study in three German hospitals regarding oxygen therapy characteristics].

Authors:  Thomas Fühner; Jens Gottlieb; Oana Joean; Maria Petronella Vanʼt Klooster; Moritz Z Kayser; Christina Valtin; Raphael Ewen; Heiko Golpon
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