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Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study
BACKGROUND: To document the relationship between triage vital signs and in-hospital mortality among emergency department (ED) patients with acute poisoning. METHODS: Poisoning patients who admitted to our emergency department during the study period were enrolled. Patient’s demographic data were col...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459725/ https://www.ncbi.nlm.nih.gov/pubmed/22900613 http://dx.doi.org/10.1186/1472-6963-12-262 |
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author | Yu, Jiun-Hao Weng, Yi-Ming Chen, Kuan-Fu Chen, Shou-Yen Lin, Chih-Chuan |
author_facet | Yu, Jiun-Hao Weng, Yi-Ming Chen, Kuan-Fu Chen, Shou-Yen Lin, Chih-Chuan |
author_sort | Yu, Jiun-Hao |
collection | PubMed |
description | BACKGROUND: To document the relationship between triage vital signs and in-hospital mortality among emergency department (ED) patients with acute poisoning. METHODS: Poisoning patients who admitted to our emergency department during the study period were enrolled. Patient’s demographic data were collected and odds ratios (OR) of triage vital signs to in-hospital mortality were assessed. Receiver operating characteristic curve was used to determine the proper cut-off value of vital signs that predict in-hospital mortality. Logistic regression analysis was performed to test the association of in-hospital mortality and vital signs after adjusting for different variables. RESULTS: 997 acute poisoning patients were enrolled, with 70 fatal cases (6.7%). A J-shaped relationship was found between triage vital signs and in-hospital mortality. ED triage vital signs exceed cut-off values independently predict in-hospital mortality after adjusting for variables were as follow: body temperature <36 or >37°C, p < 0.01, OR = 2.8; systolic blood pressure <100 or >150 mmHg, p < 0.01, OR: 2.5; heart rate <35 or >120 bpm, p < 0.01, OR: 3.1; respiratory rate <16 or >20 per minute, p = 0.38, OR: 1.4. CONCLUSIONS: Triage vital signs could predict in-hospital mortality among ED patients with acute poisoning. A J-curve relationship was found between triage vital signs and in-hospital mortality. ED physicians should take note of the extreme initial vital signs in these patients. |
format | Online Article Text |
id | pubmed-3459725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34597252012-09-28 Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study Yu, Jiun-Hao Weng, Yi-Ming Chen, Kuan-Fu Chen, Shou-Yen Lin, Chih-Chuan BMC Health Serv Res Research Article BACKGROUND: To document the relationship between triage vital signs and in-hospital mortality among emergency department (ED) patients with acute poisoning. METHODS: Poisoning patients who admitted to our emergency department during the study period were enrolled. Patient’s demographic data were collected and odds ratios (OR) of triage vital signs to in-hospital mortality were assessed. Receiver operating characteristic curve was used to determine the proper cut-off value of vital signs that predict in-hospital mortality. Logistic regression analysis was performed to test the association of in-hospital mortality and vital signs after adjusting for different variables. RESULTS: 997 acute poisoning patients were enrolled, with 70 fatal cases (6.7%). A J-shaped relationship was found between triage vital signs and in-hospital mortality. ED triage vital signs exceed cut-off values independently predict in-hospital mortality after adjusting for variables were as follow: body temperature <36 or >37°C, p < 0.01, OR = 2.8; systolic blood pressure <100 or >150 mmHg, p < 0.01, OR: 2.5; heart rate <35 or >120 bpm, p < 0.01, OR: 3.1; respiratory rate <16 or >20 per minute, p = 0.38, OR: 1.4. CONCLUSIONS: Triage vital signs could predict in-hospital mortality among ED patients with acute poisoning. A J-curve relationship was found between triage vital signs and in-hospital mortality. ED physicians should take note of the extreme initial vital signs in these patients. BioMed Central 2012-08-18 /pmc/articles/PMC3459725/ /pubmed/22900613 http://dx.doi.org/10.1186/1472-6963-12-262 Text en Copyright ©2012 Yu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yu, Jiun-Hao Weng, Yi-Ming Chen, Kuan-Fu Chen, Shou-Yen Lin, Chih-Chuan Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study |
title | Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study |
title_full | Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study |
title_fullStr | Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study |
title_full_unstemmed | Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study |
title_short | Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study |
title_sort | triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning: a case control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459725/ https://www.ncbi.nlm.nih.gov/pubmed/22900613 http://dx.doi.org/10.1186/1472-6963-12-262 |
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