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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/164697
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/164697 |
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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 |
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1846083272167129088 |
score |
13.22299 |