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Identifying predictive factors for mortality in patients with TBI at a neurosurgery department
Traumatic brain injury (TBI) can have severe consequences in most cases. Many therapeutic and neurosurgical strategies have been improved to optimize patient outcomes. However, despite adequate surgery and intensive care, death can still occur during hospitalization. TBI often results in protracted...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Carol Davila University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251389/ https://www.ncbi.nlm.nih.gov/pubmed/37305827 http://dx.doi.org/10.25122/jml-2023-0114 |
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author | Pastor, Iulia-Sevastiana Para, Ioana Vesa, Ștefan Cristian Florian, Ioan Ștefan |
author_facet | Pastor, Iulia-Sevastiana Para, Ioana Vesa, Ștefan Cristian Florian, Ioan Ștefan |
author_sort | Pastor, Iulia-Sevastiana |
collection | PubMed |
description | Traumatic brain injury (TBI) can have severe consequences in most cases. Many therapeutic and neurosurgical strategies have been improved to optimize patient outcomes. However, despite adequate surgery and intensive care, death can still occur during hospitalization. TBI often results in protracted hospital stays in neurosurgery departments, indicating the severity of brain injury. Several factors related to TBI are predictive of longer hospital stays and in-hospital mortality rates. This study aimed to identify predictive factors for intrahospital days of death due to TBI. This was a longitudinal, retrospective, analytical, observational study that included 70 TBI-related deaths admitted to the Neurosurgery Clinic in Cluj-Napoca for a period of four years (January 2017 to December 2021) using a cohort model. We identified some clinical data related to intrahospital death after TBI. The severity of TBI was classified as mild (n=9), moderate(n=13), and severe (n=48) and was associated with significantly fewer hospital days (p=0.009). Patients with associated trauma, such as vertebro-medullary or thoracic trauma, were more likely to die after a few days of hospitalization (p=0.007). Surgery applied in TBI was associated with a higher median number of days until death compared to conservative treatment. A low GCS was an independent predictive factor for early intrahospital mortality in patients with TBI. In conclusion, clinical factors such as the severity of injury, low GCS, and polytrauma are predictive of early intrahospital mortality. Surgery was associated with prolonged hospitalization. |
format | Online Article Text |
id | pubmed-10251389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Carol Davila University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102513892023-06-10 Identifying predictive factors for mortality in patients with TBI at a neurosurgery department Pastor, Iulia-Sevastiana Para, Ioana Vesa, Ștefan Cristian Florian, Ioan Ștefan J Med Life Original Article Traumatic brain injury (TBI) can have severe consequences in most cases. Many therapeutic and neurosurgical strategies have been improved to optimize patient outcomes. However, despite adequate surgery and intensive care, death can still occur during hospitalization. TBI often results in protracted hospital stays in neurosurgery departments, indicating the severity of brain injury. Several factors related to TBI are predictive of longer hospital stays and in-hospital mortality rates. This study aimed to identify predictive factors for intrahospital days of death due to TBI. This was a longitudinal, retrospective, analytical, observational study that included 70 TBI-related deaths admitted to the Neurosurgery Clinic in Cluj-Napoca for a period of four years (January 2017 to December 2021) using a cohort model. We identified some clinical data related to intrahospital death after TBI. The severity of TBI was classified as mild (n=9), moderate(n=13), and severe (n=48) and was associated with significantly fewer hospital days (p=0.009). Patients with associated trauma, such as vertebro-medullary or thoracic trauma, were more likely to die after a few days of hospitalization (p=0.007). Surgery applied in TBI was associated with a higher median number of days until death compared to conservative treatment. A low GCS was an independent predictive factor for early intrahospital mortality in patients with TBI. In conclusion, clinical factors such as the severity of injury, low GCS, and polytrauma are predictive of early intrahospital mortality. Surgery was associated with prolonged hospitalization. Carol Davila University Press 2023-04 /pmc/articles/PMC10251389/ /pubmed/37305827 http://dx.doi.org/10.25122/jml-2023-0114 Text en ©2023 JOURNAL of MEDICINE and LIFE https://creativecommons.org/licenses/by/3.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Original Article Pastor, Iulia-Sevastiana Para, Ioana Vesa, Ștefan Cristian Florian, Ioan Ștefan Identifying predictive factors for mortality in patients with TBI at a neurosurgery department |
title | Identifying predictive factors for mortality in patients with TBI at a neurosurgery department |
title_full | Identifying predictive factors for mortality in patients with TBI at a neurosurgery department |
title_fullStr | Identifying predictive factors for mortality in patients with TBI at a neurosurgery department |
title_full_unstemmed | Identifying predictive factors for mortality in patients with TBI at a neurosurgery department |
title_short | Identifying predictive factors for mortality in patients with TBI at a neurosurgery department |
title_sort | identifying predictive factors for mortality in patients with tbi at a neurosurgery department |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251389/ https://www.ncbi.nlm.nih.gov/pubmed/37305827 http://dx.doi.org/10.25122/jml-2023-0114 |
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