Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study

Autores
Martín Rodríguez, Francisco; Sanz García, Ancor; Ortega, Guillermo José; Delgado Benito, Juan F.; Aparicio Obregon, Silvia; Martínez Fernández, Francisco T.; González Crespo, Pilar; Otero de la Torre, Santiago; Castro Villamor, Miguel A.; López Izquierdo, Raúl
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim of the study: To assess the prognostic ability of the National Early Warning Score 2 (NEWS2) at three time points of care -at the emergency scene (NEWS2-1), just before starting the transfer by ambulance to the hospital (NEWS2- 2), and at the hospital triage box (NEWS2-3)- to estimate in-hospital mortality after two days since the index event. Methods: Prospective, multicenter, ambulance-based, cohort ongoing study in adults (>18 years) consecutively attended by advanced life support (ALS) and evacuated with high-priority to the emergency departments (ED) between October 2018 and May 2021. Vital sign measures were used to calculate the NEWS2 score at each time point, then this score was entered in a logistic regression model as the single predictor. Two outcomes were considered: first, all-cause mortality of the patients within 2 days of presentation to EMS, and second, unplanned ICU admission. The calibration and scores comparison was performed by representing the predicted vs the observed risk curves according to NEWS score value. Results: 4943 patients were enrolled. Median age was 69 years (interquartile range 53- 81). The NEWS2-3 presented the better performance for all-cause two-day in-hospital mortality with an AUC of 0.941 (95% CI: 0.917-0.964), showing statistical differences with both the NEWS2-1 (0.872 (95% CI: 0.833-0.911); p < 0.003) and with the NEWS2- 2 (0.895 (95% CI: 0.866-0.925; p < 0.05). The calibration and scores comparison results showed that the NEWS2-3 was the best predictive score followed by the NEWS2-2 and the NEWS2-1, respectively. Conclusions: The NEWS2 has an excellent predictive performance. The score showed a very consistent response over time with the difference between “at the emergency scene” and “pre-evacuation” presenting the sharpest change with decreased threshold values, thus displaying a drop in the risk of acute clinical impairment.
Fil: Martín Rodríguez, Francisco. Universidad de Valladolid; España
Fil: Sanz García, Ancor. No especifíca;
Fil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Delgado Benito, Juan F.. Universidad de Valladolid; España
Fil: Aparicio Obregon, Silvia. Universidad Industrial Santander; Colombia
Fil: Martínez Fernández, Francisco T.. Universidad de Valladolid; España
Fil: González Crespo, Pilar. No especifíca;
Fil: Otero de la Torre, Santiago. No especifíca;
Fil: Castro Villamor, Miguel A.. Universidad de Valladolid; España
Fil: López Izquierdo, Raúl. Hospital Universitario Rio Hortega de Valladolid; España
Materia
Clinical skills
Early warning score
In-hospital mortality
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/164697

id CONICETDig_ad546b4d6dcc280230caabc49720051d
oai_identifier_str oai:ri.conicet.gov.ar:11336/164697
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational StudyMartín Rodríguez, FranciscoSanz García, AncorOrtega, Guillermo JoséDelgado Benito, Juan F.Aparicio Obregon, SilviaMartínez Fernández, Francisco T.González Crespo, PilarOtero de la Torre, SantiagoCastro Villamor, Miguel A.López Izquierdo, RaúlClinical skillsEarly warning scoreIn-hospital mortalityhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Aim of the study: To assess the prognostic ability of the National Early Warning Score 2 (NEWS2) at three time points of care -at the emergency scene (NEWS2-1), just before starting the transfer by ambulance to the hospital (NEWS2- 2), and at the hospital triage box (NEWS2-3)- to estimate in-hospital mortality after two days since the index event. Methods: Prospective, multicenter, ambulance-based, cohort ongoing study in adults (>18 years) consecutively attended by advanced life support (ALS) and evacuated with high-priority to the emergency departments (ED) between October 2018 and May 2021. Vital sign measures were used to calculate the NEWS2 score at each time point, then this score was entered in a logistic regression model as the single predictor. Two outcomes were considered: first, all-cause mortality of the patients within 2 days of presentation to EMS, and second, unplanned ICU admission. The calibration and scores comparison was performed by representing the predicted vs the observed risk curves according to NEWS score value. Results: 4943 patients were enrolled. Median age was 69 years (interquartile range 53- 81). The NEWS2-3 presented the better performance for all-cause two-day in-hospital mortality with an AUC of 0.941 (95% CI: 0.917-0.964), showing statistical differences with both the NEWS2-1 (0.872 (95% CI: 0.833-0.911); p < 0.003) and with the NEWS2- 2 (0.895 (95% CI: 0.866-0.925; p < 0.05). The calibration and scores comparison results showed that the NEWS2-3 was the best predictive score followed by the NEWS2-2 and the NEWS2-1, respectively. Conclusions: The NEWS2 has an excellent predictive performance. The score showed a very consistent response over time with the difference between “at the emergency scene” and “pre-evacuation” presenting the sharpest change with decreased threshold values, thus displaying a drop in the risk of acute clinical impairment.Fil: Martín Rodríguez, Francisco. Universidad de Valladolid; EspañaFil: Sanz García, Ancor. No especifíca;Fil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Delgado Benito, Juan F.. Universidad de Valladolid; EspañaFil: Aparicio Obregon, Silvia. Universidad Industrial Santander; ColombiaFil: Martínez Fernández, Francisco T.. Universidad de Valladolid; EspañaFil: González Crespo, Pilar. No especifíca;Fil: Otero de la Torre, Santiago. No especifíca;Fil: Castro Villamor, Miguel A.. Universidad de Valladolid; EspañaFil: López Izquierdo, Raúl. Hospital Universitario Rio Hortega de Valladolid; EspañaTaylor & Francis2021-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/164697Martín Rodríguez, Francisco; Sanz García, Ancor; Ortega, Guillermo José; Delgado Benito, Juan F.; Aparicio Obregon, Silvia; et al.; Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study; Taylor & Francis; Prehospital Emergency Care; 1-2021; 1-221090-3127CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/ 10.1080/10903127.2021.2011995info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:12:23Zoai:ri.conicet.gov.ar:11336/164697instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:12:23.947CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
title Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
spellingShingle Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
Martín Rodríguez, Francisco
Clinical skills
Early warning score
In-hospital mortality
title_short Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
title_full Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
title_fullStr Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
title_full_unstemmed Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
title_sort Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study
dc.creator.none.fl_str_mv Martín Rodríguez, Francisco
Sanz García, Ancor
Ortega, Guillermo José
Delgado Benito, Juan F.
Aparicio Obregon, Silvia
Martínez Fernández, Francisco T.
González Crespo, Pilar
Otero de la Torre, Santiago
Castro Villamor, Miguel A.
López Izquierdo, Raúl
author Martín Rodríguez, Francisco
author_facet Martín Rodríguez, Francisco
Sanz García, Ancor
Ortega, Guillermo José
Delgado Benito, Juan F.
Aparicio Obregon, Silvia
Martínez Fernández, Francisco T.
González Crespo, Pilar
Otero de la Torre, Santiago
Castro Villamor, Miguel A.
López Izquierdo, Raúl
author_role author
author2 Sanz García, Ancor
Ortega, Guillermo José
Delgado Benito, Juan F.
Aparicio Obregon, Silvia
Martínez Fernández, Francisco T.
González Crespo, Pilar
Otero de la Torre, Santiago
Castro Villamor, Miguel A.
López Izquierdo, Raúl
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Clinical skills
Early warning score
In-hospital mortality
topic Clinical skills
Early warning score
In-hospital mortality
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Aim of the study: To assess the prognostic ability of the National Early Warning Score 2 (NEWS2) at three time points of care -at the emergency scene (NEWS2-1), just before starting the transfer by ambulance to the hospital (NEWS2- 2), and at the hospital triage box (NEWS2-3)- to estimate in-hospital mortality after two days since the index event. Methods: Prospective, multicenter, ambulance-based, cohort ongoing study in adults (>18 years) consecutively attended by advanced life support (ALS) and evacuated with high-priority to the emergency departments (ED) between October 2018 and May 2021. Vital sign measures were used to calculate the NEWS2 score at each time point, then this score was entered in a logistic regression model as the single predictor. Two outcomes were considered: first, all-cause mortality of the patients within 2 days of presentation to EMS, and second, unplanned ICU admission. The calibration and scores comparison was performed by representing the predicted vs the observed risk curves according to NEWS score value. Results: 4943 patients were enrolled. Median age was 69 years (interquartile range 53- 81). The NEWS2-3 presented the better performance for all-cause two-day in-hospital mortality with an AUC of 0.941 (95% CI: 0.917-0.964), showing statistical differences with both the NEWS2-1 (0.872 (95% CI: 0.833-0.911); p < 0.003) and with the NEWS2- 2 (0.895 (95% CI: 0.866-0.925; p < 0.05). The calibration and scores comparison results showed that the NEWS2-3 was the best predictive score followed by the NEWS2-2 and the NEWS2-1, respectively. Conclusions: The NEWS2 has an excellent predictive performance. The score showed a very consistent response over time with the difference between “at the emergency scene” and “pre-evacuation” presenting the sharpest change with decreased threshold values, thus displaying a drop in the risk of acute clinical impairment.
Fil: Martín Rodríguez, Francisco. Universidad de Valladolid; España
Fil: Sanz García, Ancor. No especifíca;
Fil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Delgado Benito, Juan F.. Universidad de Valladolid; España
Fil: Aparicio Obregon, Silvia. Universidad Industrial Santander; Colombia
Fil: Martínez Fernández, Francisco T.. Universidad de Valladolid; España
Fil: González Crespo, Pilar. No especifíca;
Fil: Otero de la Torre, Santiago. No especifíca;
Fil: Castro Villamor, Miguel A.. Universidad de Valladolid; España
Fil: López Izquierdo, Raúl. Hospital Universitario Rio Hortega de Valladolid; España
description Aim of the study: To assess the prognostic ability of the National Early Warning Score 2 (NEWS2) at three time points of care -at the emergency scene (NEWS2-1), just before starting the transfer by ambulance to the hospital (NEWS2- 2), and at the hospital triage box (NEWS2-3)- to estimate in-hospital mortality after two days since the index event. Methods: Prospective, multicenter, ambulance-based, cohort ongoing study in adults (>18 years) consecutively attended by advanced life support (ALS) and evacuated with high-priority to the emergency departments (ED) between October 2018 and May 2021. Vital sign measures were used to calculate the NEWS2 score at each time point, then this score was entered in a logistic regression model as the single predictor. Two outcomes were considered: first, all-cause mortality of the patients within 2 days of presentation to EMS, and second, unplanned ICU admission. The calibration and scores comparison was performed by representing the predicted vs the observed risk curves according to NEWS score value. Results: 4943 patients were enrolled. Median age was 69 years (interquartile range 53- 81). The NEWS2-3 presented the better performance for all-cause two-day in-hospital mortality with an AUC of 0.941 (95% CI: 0.917-0.964), showing statistical differences with both the NEWS2-1 (0.872 (95% CI: 0.833-0.911); p < 0.003) and with the NEWS2- 2 (0.895 (95% CI: 0.866-0.925; p < 0.05). The calibration and scores comparison results showed that the NEWS2-3 was the best predictive score followed by the NEWS2-2 and the NEWS2-1, respectively. Conclusions: The NEWS2 has an excellent predictive performance. The score showed a very consistent response over time with the difference between “at the emergency scene” and “pre-evacuation” presenting the sharpest change with decreased threshold values, thus displaying a drop in the risk of acute clinical impairment.
publishDate 2021
dc.date.none.fl_str_mv 2021-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/164697
Martín Rodríguez, Francisco; Sanz García, Ancor; Ortega, Guillermo José; Delgado Benito, Juan F.; Aparicio Obregon, Silvia; et al.; Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study; Taylor & Francis; Prehospital Emergency Care; 1-2021; 1-22
1090-3127
CONICET Digital
CONICET
url http://hdl.handle.net/11336/164697
identifier_str_mv Martín Rodríguez, Francisco; Sanz García, Ancor; Ortega, Guillermo José; Delgado Benito, Juan F.; Aparicio Obregon, Silvia; et al.; Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study; Taylor & Francis; Prehospital Emergency Care; 1-2021; 1-22
1090-3127
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/ 10.1080/10903127.2021.2011995
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083272167129088
score 13.22299