Literature DB >> 27513547

A Comparison of the Ability of the Physiologic Components of Medical Emergency Team Criteria and the U.K. National Early Warning Score to Discriminate Patients at Risk of a Range of Adverse Clinical Outcomes.

Gary B Smith1, David R Prytherch, Stuart Jarvis, Caroline Kovacs, Paul Meredith, Paul E Schmidt, Jim Briggs.   

Abstract

OBJECTIVE: To compare the ability of medical emergency team criteria and the National Early Warning Score to discriminate cardiac arrest, unanticipated ICU admission and death within 24 hours of a vital signs measurement, and to quantify the associated workload.
DESIGN: Retrospective cohort study.
SETTING: A large U.K. National Health Service District General Hospital. PATIENTS: Adults hospitalized from May 25, 2011, to December 31, 2013.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: We applied the National Early Warning Score and 44 sets of medical emergency team criteria to a database of 2,245,778 vital signs sets (103,998 admissions). The National Early Warning Score's performance was assessed using the area under the receiver-operating characteristic curve and compared with sensitivity/specificity for different medical emergency team criteria. Area under the receiver-operating characteristic curve (95% CI) for the National Early Warning Score for the combined outcome (i.e., death, cardiac arrest, or unanticipated ICU admission) was 0.88 (0.88-0.88). A National Early Warning Score value of 7 had sensitivity/specificity values of 44.5% and 97.4%, respectively. For the 44 sets of medical emergency team criteria studied, sensitivity ranged from 19.6% to 71.2% and specificity from 71.5% to 98.5%. For all outcomes, the position of the National Early Warning Score receiver-operating characteristic curve was above and to the left of all medical emergency team criteria points, indicating better discrimination. Similarly, the positions of all medical emergency team criteria points were above and to the left of the National Early Warning Score efficiency curve, indicating higher workloads (trigger rates).
CONCLUSIONS: When medical emergency team systems are compared to a National Early Warning Score value of greater than or equal to 7, some medical emergency team systems have a higher sensitivity than National Early Warning Score values of greater than or equal to 7. However, all of these medical emergency team systems have a lower specificity and would generate greater workloads.

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Year:  2016        PMID: 27513547     DOI: 10.1097/CCM.0000000000002000

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  18 in total

1.  Moving Beyond Single-Parameter Early Warning Scores for Rapid Response System Activation.

Authors:  Matthew M Churpek; Dana P Edelson
Journal:  Crit Care Med       Date:  2016-12       Impact factor: 7.598

Review 2.  Development and validation of early warning score system: A systematic literature review.

Authors:  Li-Heng Fu; Jessica Schwartz; Amanda Moy; Chris Knaplund; Min-Jeoung Kang; Kumiko O Schnock; Jose P Garcia; Haomiao Jia; Patricia C Dykes; Kenrick Cato; David Albers; Sarah Collins Rossetti
Journal:  J Biomed Inform       Date:  2020-04-08       Impact factor: 6.317

3.  In-hospital cardiac arrest and preceding National Early Warning Score (NEWS): A retrospective case-control study.

Authors:  Martin Spångfors; Mats Molt; Karin Samuelson
Journal:  Clin Med (Lond)       Date:  2020-01       Impact factor: 2.659

Review 4.  Early warning systems and rapid response systems for the prevention of patient deterioration on acute adult hospital wards.

Authors:  Jennifer McGaughey; Dean A Fergusson; Peter Van Bogaert; Louise Rose
Journal:  Cochrane Database Syst Rev       Date:  2021-11-22

5.  Detecting Deteriorating Patients in the Hospital: Development and Validation of a Novel Scoring System.

Authors:  Marco A F Pimentel; Oliver C Redfern; James Malycha; Paul Meredith; David Prytherch; Jim Briggs; J Duncan Young; David A Clifton; Lionel Tarassenko; Peter J Watkinson
Journal:  Am J Respir Crit Care Med       Date:  2021-07-01       Impact factor: 21.405

6.  Early warning score validation methodologies and performance metrics: a systematic review.

Authors:  Andrew Hao Sen Fang; Wan Tin Lim; Tharmmambal Balakrishnan
Journal:  BMC Med Inform Decis Mak       Date:  2020-06-18       Impact factor: 2.796

7.  Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit.

Authors:  Vincent X Liu; Yun Lu; Kyle A Carey; Emily R Gilbert; Majid Afshar; Mary Akel; Nirav S Shah; John Dolan; Christopher Winslow; Patricia Kipnis; Dana P Edelson; Gabriel J Escobar; Matthew M Churpek
Journal:  JAMA Netw Open       Date:  2020-05-01

8.  Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology.

Authors:  Stephen Gerry; Timothy Bonnici; Jacqueline Birks; Shona Kirtley; Pradeep S Virdee; Peter J Watkinson; Gary S Collins
Journal:  BMJ       Date:  2020-05-20

9.  National Early Warning Score for predicting intensive care unit admission among elderly patients with influenza infections in the emergency department: an effective disposition tool during the influenza season.

Authors:  Te-Hao Wang; Jing-Cheng Jheng; Yen-Ting Tseng; Li-Fu Chen; Jui-Yuan Chung
Journal:  BMJ Open       Date:  2021-06-11       Impact factor: 2.692

10.  NEWS2 versus a single-parameter system to identify critically ill medical patients in the emergency department.

Authors:  Stine Engebretsen; Stig Tore Bogstrand; Dag Jacobsen; Valeria Vitelli; Rune Rimstad
Journal:  Resusc Plus       Date:  2020-08-06
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