Literature DB >> 31648657

Accuracy of National Early Warning Score 2 (NEWS2) in Prehospital Triage on In-Hospital Early Mortality: A Multi-Center Observational Prospective Cohort Study.

Francisco Martín-Rodríguez1,2, Raúl López-Izquierdo1,3, Carlos Del Pozo Vegas4, Juan F Delgado Benito2, Virginia Carbajosa Rodríguez3, María N Diego Rasilla2, José Luis Martín Conty5, Agustín Mayo Iscar6, Santiago Otero de la Torre2, Violante Méndez Martín7, Miguel A Castro Villamor1.   

Abstract

INTRODUCTION: In cases of mass-casualty incidents (MCIs), triage represents a fundamental tool for the management of and assistance to the wounded, which helps discriminate not only the priority of attention, but also the priority of referral to the most suitable center. HYPOTHESIS/PROBLEM: The objective of this study was to evaluate the capacity of different prehospital triage systems based on physiological parameters (Shock Index [SI], Glasgow-Age-Pressure Score [GAP], Revised Trauma Score [RTS], and National Early Warning Score 2 [NEWS2]) to predict early mortality (within 48 hours) from the index event for use in MCIs.
METHODS: This was a longitudinal prospective observational multi-center study on patients who were attended by Advanced Life Support (ALS) units and transferred to the emergency department (ED) of their reference hospital. Collected were: demographic, physiological, and clinical variables; main diagnosis; and data on early mortality. The main outcome variable was mortality from any cause within 48 hours.
RESULTS: From April 1, 2018 through February 28, 2019, a total of 1,288 patients were included in this study. Of these, 262 (20.3%) participants required assistance for trauma and injuries by external agents. Early mortality within the first 48 hours due to any cause affected 69 patients (5.4%). The system with the best predictive capacity was the NEWS2 with an area under the curve (AUC) of 0.891 (95% CI, 0.84-0.94); a sensitivity of 79.7% (95% CI, 68.8-87.5); and a specificity of 84.5% (95% CI, 82.4-86.4) for a cut-off point of nine points, with a positive likelihood ratio of 5.14 (95% CI, 4.31-6.14) and a negative predictive value of 98.7% (95% CI, 97.8-99.2).
CONCLUSION: Prehospital scores of the NEWS2 are easy to obtain and represent a reliable test, which make it an ideal system to help in the initial assessment of high-risk patients, and to determine their level of triage effectively and efficiently. The Prehospital Emergency Medical System (PhEMS) should evaluate the inclusion of the NEWS2 as a triage system, which is especially useful for the second triage (evacuation priority).

Entities:  

Keywords:  clinical decision making; early mortality; early warning score; mass-casualty incident; triage

Mesh:

Year:  2019        PMID: 31648657     DOI: 10.1017/S1049023X19005041

Source DB:  PubMed          Journal:  Prehosp Disaster Med        ISSN: 1049-023X            Impact factor:   2.040


  13 in total

1.  Predictive value of the New Zealand Early Warning Score for early mortality in low-acuity patients discharged at scene by paramedics: an observational study.

Authors:  Verity Frances Todd; Melanie Moylan; Graham Howie; Andy Swain; Aroha Brett; Tony Smith; Bridget Dicker
Journal:  BMJ Open       Date:  2022-07-14       Impact factor: 3.006

Review 2.  Shock index as a predictor for mortality in trauma patients: a systematic review and meta-analysis.

Authors:  Malene Vang; Maria Østberg; Jacob Steinmetz; Lars S Rasmussen
Journal:  Eur J Trauma Emerg Surg       Date:  2022-03-08       Impact factor: 2.374

3.  Temporal Clinical and Laboratory Response to Interleukin-6 Receptor Blockade With Tocilizumab in 89 Hospitalized Patients With COVID-19 Pneumonia.

Authors:  Daria S Fomina; Mar'yana A Lysenko; Irina P Beloglazova; Zinaida Yu Mutovina; Nataliya G Poteshkina; Inna V Samsonova; Tat'yana S Kruglova; Anton A Chernov; Alexander V Karaulov
Journal:  Pathog Immun       Date:  2020-10-02

4.  Pre-hospital suPAR, lactate and CRP measurements for decision-making: a prospective, observational study of patients presenting non-specific complaints.

Authors:  Milla Jousi; Marja Mäkinen; Johanna Kaartinen; Leena Meriläinen; Maaret Castrén
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2021-10-16       Impact factor: 2.953

5.  Random forest machine learning method outperforms prehospital National Early Warning Score for predicting one-day mortality: A retrospective study.

Authors:  Jussi Pirneskoski; Joonas Tamminen; Antti Kallonen; Jouni Nurmi; Markku Kuisma; Klaus T Olkkola; Sanna Hoppu
Journal:  Resusc Plus       Date:  2020-12-05

6.  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

Review 7.  Does this patient have COVID-19? A practical guide for the internist.

Authors:  Lorenzo Bertolino; Martina Vitrone; Emanuele Durante-Mangoni
Journal:  Intern Emerg Med       Date:  2020-05-23       Impact factor: 5.472

8.  Pre-hospital triage performance and emergency medical services nurse's field assessment in an unselected patient population attended to by the emergency medical services: a prospective observational study.

Authors:  Carl Magnusson; Johan Herlitz; Christer Axelsson
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-08-17       Impact factor: 2.953

9.  Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments.

Authors:  Francisco Martín-Rodríguez; José L Martín-Conty; Ancor Sanz-García; Virginia Carbajosa Rodríguez; Guillermo Ortega Rabbione; Irene Cebrían Ruíz; José R Oliva Ramos; Enrique Castro Portillo; Begoña Polonio-López; Rodrigo Enríquez de Salamanca Gambarra; Marta Gómez-Escolar Pérez; Raúl López-Izquierdo
Journal:  J Pers Med       Date:  2021-03-02

Review 10.  Mobile Triage Applications: A Systematic Review in Literature and Play Store.

Authors:  Isabel Herrera Montano; Isabel de la Torre Díez; Raúl López-Izquierdo; Miguel A Castro Villamor; Francisco Martín-Rodríguez
Journal:  J Med Syst       Date:  2021-08-13       Impact factor: 4.460

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