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The off-hour effect on mortality in traumatic brain injury according to age group
BACKGROUND: Traumatic brain injury (TBI) is a time-sensitive and life-threatening medical condition. We hypothesized that off-hours, which includes night-time, weekends, and holidays, may influence mortality in TBI. Our study aimed to evaluate if the off-hours effect influences mortality in patients...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019691/ https://www.ncbi.nlm.nih.gov/pubmed/36928691 http://dx.doi.org/10.1371/journal.pone.0282953 |
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author | Jung, Eujene Ryu, Hyun Ho |
author_facet | Jung, Eujene Ryu, Hyun Ho |
author_sort | Jung, Eujene |
collection | PubMed |
description | BACKGROUND: Traumatic brain injury (TBI) is a time-sensitive and life-threatening medical condition. We hypothesized that off-hours, which includes night-time, weekends, and holidays, may influence mortality in TBI. Our study aimed to evaluate if the off-hours effect influences mortality in patients with TBI and whether this effect is dependent on the age group. METHODS: This study included patients who experienced TBI and were admitted to Chonnam National University Hospital (CNUH) between 2017 to 2020. The main exposure was arrival time at the emergency department (ED) (off-hours vs. working hours). The main outcome was mortality at hospital discharge. Multivariable logistic regression analysis was conducted to estimate the effect size of off-hours on mortality compared to that of working hours. We performed an interaction analysis between ED admission time and age group on study outcomes. RESULTS: A total of 2086 patients with TBI with intracranial injury who were transported by EMS were enrolled in our registry. In the multivariable logistic regression analysis, there was no significant difference in mortality (AOR, 95% CI (1.05 [0.54–1.81]) in patients visiting the ED during off-hours. In the interaction analysis, the effect measure of ED admission during off-hours on mortality was significant among younger people (0–17 years: 1.16 [1.03–1.31]), compared to that in other age groups (18–64 years: 1.02 [0.48–2.39] and 65–100 years (0.99 [0.51–2.23])). CONCLUSIONS: In patients under 18 years old, admission during off-hours was associated with higher mortality at hospital discharge compared to admission during working-hours in patients with TBI with intracranial hemorrhage. EDs should be designed such that the same quality of emergency care is provided regardless of admission time. |
format | Online Article Text |
id | pubmed-10019691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100196912023-03-17 The off-hour effect on mortality in traumatic brain injury according to age group Jung, Eujene Ryu, Hyun Ho PLoS One Research Article BACKGROUND: Traumatic brain injury (TBI) is a time-sensitive and life-threatening medical condition. We hypothesized that off-hours, which includes night-time, weekends, and holidays, may influence mortality in TBI. Our study aimed to evaluate if the off-hours effect influences mortality in patients with TBI and whether this effect is dependent on the age group. METHODS: This study included patients who experienced TBI and were admitted to Chonnam National University Hospital (CNUH) between 2017 to 2020. The main exposure was arrival time at the emergency department (ED) (off-hours vs. working hours). The main outcome was mortality at hospital discharge. Multivariable logistic regression analysis was conducted to estimate the effect size of off-hours on mortality compared to that of working hours. We performed an interaction analysis between ED admission time and age group on study outcomes. RESULTS: A total of 2086 patients with TBI with intracranial injury who were transported by EMS were enrolled in our registry. In the multivariable logistic regression analysis, there was no significant difference in mortality (AOR, 95% CI (1.05 [0.54–1.81]) in patients visiting the ED during off-hours. In the interaction analysis, the effect measure of ED admission during off-hours on mortality was significant among younger people (0–17 years: 1.16 [1.03–1.31]), compared to that in other age groups (18–64 years: 1.02 [0.48–2.39] and 65–100 years (0.99 [0.51–2.23])). CONCLUSIONS: In patients under 18 years old, admission during off-hours was associated with higher mortality at hospital discharge compared to admission during working-hours in patients with TBI with intracranial hemorrhage. EDs should be designed such that the same quality of emergency care is provided regardless of admission time. Public Library of Science 2023-03-16 /pmc/articles/PMC10019691/ /pubmed/36928691 http://dx.doi.org/10.1371/journal.pone.0282953 Text en © 2023 Jung, Ryu https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jung, Eujene Ryu, Hyun Ho The off-hour effect on mortality in traumatic brain injury according to age group |
title | The off-hour effect on mortality in traumatic brain injury according to age group |
title_full | The off-hour effect on mortality in traumatic brain injury according to age group |
title_fullStr | The off-hour effect on mortality in traumatic brain injury according to age group |
title_full_unstemmed | The off-hour effect on mortality in traumatic brain injury according to age group |
title_short | The off-hour effect on mortality in traumatic brain injury according to age group |
title_sort | off-hour effect on mortality in traumatic brain injury according to age group |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019691/ https://www.ncbi.nlm.nih.gov/pubmed/36928691 http://dx.doi.org/10.1371/journal.pone.0282953 |
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