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Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department

OBJECTIVE: The National Early Warning Score (NEWS), based on the patients’ vital signs, detects clinical deterioration in critically ill patients and is used to reduce the incidence of in-hospital cardiac arrest. However, although mortality prediction based on vital signs may be difficult in older p...

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Autores principales: Kim, Inyong, Song, Hwan, Kim, Hyo Joon, Park, Kyu Nam, Kim, Soo Hyun, Oh, Sang Hoon, Youn, Chun Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Emergency Medicine 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141980/
https://www.ncbi.nlm.nih.gov/pubmed/32252135
http://dx.doi.org/10.15441/ceem.19.036
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author Kim, Inyong
Song, Hwan
Kim, Hyo Joon
Park, Kyu Nam
Kim, Soo Hyun
Oh, Sang Hoon
Youn, Chun Song
author_facet Kim, Inyong
Song, Hwan
Kim, Hyo Joon
Park, Kyu Nam
Kim, Soo Hyun
Oh, Sang Hoon
Youn, Chun Song
author_sort Kim, Inyong
collection PubMed
description OBJECTIVE: The National Early Warning Score (NEWS), based on the patients’ vital signs, detects clinical deterioration in critically ill patients and is used to reduce the incidence of in-hospital cardiac arrest. However, although mortality prediction based on vital signs may be difficult in older patients, the effectiveness of the NEWS has not yet been evaluated in this population. This study aimed to test the hypothesis that an elevated NEWS at admission increases the mortality risk in older patients admitted to the emergency department (ED). METHODS: We conducted a single-center retrospective study, including patients admitted to the ED between November 2016 and February 2017. We included patients aged >65 years who were admitted to the ED for any medical problem. The NEWS was calculated at the time of ED admission. The primary outcome was in-hospital mortality. RESULTS: In total, 3,169 patients were included in this study. Median age was 75 years (interquartile range [IQR], 70 to 80 years), and 1,557 (49.1%) patients were male. The in-hospital mortality rate was 5.1% (161 patients). Median NEWS was higher in non-survivors than in survivors (5 [IQR, 3–8] vs. 1 [IQR, 0–3], P<0.001). Multivariate logistic analysis showed that the NEWS was associated with in-hospital mortality, after adjusting for other confounders. The area under the curve of the NEWS for predicting in-hospital mortality was 0.820 (95% confidence interval, 0.806 to 0.833). CONCLUSION: Our results show that the NEWS at admission is associated with in-hospital mortality among patients aged >65 years.
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spelling pubmed-71419802020-04-13 Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department Kim, Inyong Song, Hwan Kim, Hyo Joon Park, Kyu Nam Kim, Soo Hyun Oh, Sang Hoon Youn, Chun Song Clin Exp Emerg Med Original Article OBJECTIVE: The National Early Warning Score (NEWS), based on the patients’ vital signs, detects clinical deterioration in critically ill patients and is used to reduce the incidence of in-hospital cardiac arrest. However, although mortality prediction based on vital signs may be difficult in older patients, the effectiveness of the NEWS has not yet been evaluated in this population. This study aimed to test the hypothesis that an elevated NEWS at admission increases the mortality risk in older patients admitted to the emergency department (ED). METHODS: We conducted a single-center retrospective study, including patients admitted to the ED between November 2016 and February 2017. We included patients aged >65 years who were admitted to the ED for any medical problem. The NEWS was calculated at the time of ED admission. The primary outcome was in-hospital mortality. RESULTS: In total, 3,169 patients were included in this study. Median age was 75 years (interquartile range [IQR], 70 to 80 years), and 1,557 (49.1%) patients were male. The in-hospital mortality rate was 5.1% (161 patients). Median NEWS was higher in non-survivors than in survivors (5 [IQR, 3–8] vs. 1 [IQR, 0–3], P<0.001). Multivariate logistic analysis showed that the NEWS was associated with in-hospital mortality, after adjusting for other confounders. The area under the curve of the NEWS for predicting in-hospital mortality was 0.820 (95% confidence interval, 0.806 to 0.833). CONCLUSION: Our results show that the NEWS at admission is associated with in-hospital mortality among patients aged >65 years. The Korean Society of Emergency Medicine 2020-03-31 /pmc/articles/PMC7141980/ /pubmed/32252135 http://dx.doi.org/10.15441/ceem.19.036 Text en Copyright © 2020 The Korean Society of Emergency Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/).
spellingShingle Original Article
Kim, Inyong
Song, Hwan
Kim, Hyo Joon
Park, Kyu Nam
Kim, Soo Hyun
Oh, Sang Hoon
Youn, Chun Song
Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department
title Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department
title_full Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department
title_fullStr Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department
title_full_unstemmed Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department
title_short Use of the National Early Warning Score for predicting in-hospital mortality in older adults admitted to the emergency department
title_sort use of the national early warning score for predicting in-hospital mortality in older adults admitted to the emergency department
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141980/
https://www.ncbi.nlm.nih.gov/pubmed/32252135
http://dx.doi.org/10.15441/ceem.19.036
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