Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ...

Abstract Objectives The prehospital research field has focused on studying patient survival in cardiac arrest, as well as acute coronary syndrome, stroke, and trauma. There is little known about the overall short-term mortality and its predictability in unselected prehospital patients. This study ex...

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Main Authors: Hoikka, Marko, Silfvast, Tom, Ala-Kokko, Tero
Format: Article in Journal/Newspaper
Language:unknown
Published: figshare 2018
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.c.4127225.v1
https://springernature.figshare.com/collections/Does_the_prehospital_National_Early_Warning_Score_predict_the_short-term_mortality_of_unselected_emergency_patients_/4127225/1
id ftdatacite:10.6084/m9.figshare.c.4127225.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.c.4127225.v1 2024-10-29T17:46:21+00:00 Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ... Hoikka, Marko Silfvast, Tom Ala-Kokko, Tero 2018 https://dx.doi.org/10.6084/m9.figshare.c.4127225.v1 https://springernature.figshare.com/collections/Does_the_prehospital_National_Early_Warning_Score_predict_the_short-term_mortality_of_unselected_emergency_patients_/4127225/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.c.4127225 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Medicine Biotechnology Developmental Biology Cancer Plant Biology FOS: Biological sciences Virology Collection article 2018 ftdatacite https://doi.org/10.6084/m9.figshare.c.4127225.v110.6084/m9.figshare.c.4127225 2024-10-01T12:17:27Z Abstract Objectives The prehospital research field has focused on studying patient survival in cardiac arrest, as well as acute coronary syndrome, stroke, and trauma. There is little known about the overall short-term mortality and its predictability in unselected prehospital patients. This study examines whether a prehospital National Early Warning Score (NEWS) predicts 1-day and 30-day mortalities. Methods Data from all emergency medical service (EMS) situations were coupled to the mortality data obtained from the Causes of Death Registry during a six-month period in Northern Finland. NEWS values were calculated from first clinical parameters obtained on the scene and patients were categorized to the low, medium and high-risk groups accordingly. Sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), and likelihood ratios (PLRs and NLRs) were calculated for 1-day and 30-day mortalities at the cut-off risks. Results A total of 12,426 EMS calls were included in the ... Article in Journal/Newspaper Northern Finland DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language unknown
topic Medicine
Biotechnology
Developmental Biology
Cancer
Plant Biology
FOS: Biological sciences
Virology
spellingShingle Medicine
Biotechnology
Developmental Biology
Cancer
Plant Biology
FOS: Biological sciences
Virology
Hoikka, Marko
Silfvast, Tom
Ala-Kokko, Tero
Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ...
topic_facet Medicine
Biotechnology
Developmental Biology
Cancer
Plant Biology
FOS: Biological sciences
Virology
description Abstract Objectives The prehospital research field has focused on studying patient survival in cardiac arrest, as well as acute coronary syndrome, stroke, and trauma. There is little known about the overall short-term mortality and its predictability in unselected prehospital patients. This study examines whether a prehospital National Early Warning Score (NEWS) predicts 1-day and 30-day mortalities. Methods Data from all emergency medical service (EMS) situations were coupled to the mortality data obtained from the Causes of Death Registry during a six-month period in Northern Finland. NEWS values were calculated from first clinical parameters obtained on the scene and patients were categorized to the low, medium and high-risk groups accordingly. Sensitivities, specificities, positive predictive values (PPVs), negative predictive values (NPVs), and likelihood ratios (PLRs and NLRs) were calculated for 1-day and 30-day mortalities at the cut-off risks. Results A total of 12,426 EMS calls were included in the ...
format Article in Journal/Newspaper
author Hoikka, Marko
Silfvast, Tom
Ala-Kokko, Tero
author_facet Hoikka, Marko
Silfvast, Tom
Ala-Kokko, Tero
author_sort Hoikka, Marko
title Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ...
title_short Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ...
title_full Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ...
title_fullStr Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ...
title_full_unstemmed Does the prehospital National Early Warning Score predict the short-term mortality of unselected emergency patients? ...
title_sort does the prehospital national early warning score predict the short-term mortality of unselected emergency patients? ...
publisher figshare
publishDate 2018
url https://dx.doi.org/10.6084/m9.figshare.c.4127225.v1
https://springernature.figshare.com/collections/Does_the_prehospital_National_Early_Warning_Score_predict_the_short-term_mortality_of_unselected_emergency_patients_/4127225/1
genre Northern Finland
genre_facet Northern Finland
op_relation https://dx.doi.org/10.6084/m9.figshare.c.4127225
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.6084/m9.figshare.c.4127225.v110.6084/m9.figshare.c.4127225
_version_ 1814275716940824576