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Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury

BACKGROUND: According to the pathoanatomic classification system, progressive hemorrhagic injury (PHI) can be categorized into progressive intraparenchymal contusion or hematoma (pIPCH), epidural hematoma (pEDH), subdural hematoma (pSDH), and traumatic subarachnoid hemorrhage (ptSAH). The clinical f...

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Autores principales: Wang, Ren, Yang, Dian-Xu, Ding, Jun, Guo, Yan, Ding, Wan-Hai, Tian, Heng-Li, Yuan, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926699/
https://www.ncbi.nlm.nih.gov/pubmed/36782124
http://dx.doi.org/10.1186/s12883-023-03112-x
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author Wang, Ren
Yang, Dian-Xu
Ding, Jun
Guo, Yan
Ding, Wan-Hai
Tian, Heng-Li
Yuan, Fang
author_facet Wang, Ren
Yang, Dian-Xu
Ding, Jun
Guo, Yan
Ding, Wan-Hai
Tian, Heng-Li
Yuan, Fang
author_sort Wang, Ren
collection PubMed
description BACKGROUND: According to the pathoanatomic classification system, progressive hemorrhagic injury (PHI) can be categorized into progressive intraparenchymal contusion or hematoma (pIPCH), epidural hematoma (pEDH), subdural hematoma (pSDH), and traumatic subarachnoid hemorrhage (ptSAH). The clinical features of each type differ greatly. The objective of this study was to determine the predictors, clinical management, and outcomes of PHI according to this classification. METHODS: Multivariate logistic regression analysis was used to identify independent risk factors for PHI and each subgroup. Patients with IPCH or EDH were selected for subgroup propensity score matching (PSM) to exclude confounding factors before evaluating the association of hematoma progression with the outcomes by classification. RESULTS: In the present cohort of 419 patients, 123 (29.4%) demonstrated PHI by serial CT scan. Of them, progressive ICPH (58.5%) was the most common type, followed by pEDH (28.5%), pSDH (9.8%), and ptSAH (3.2%). Old age (≥ 60 years), lower motor Glasgow Coma Scale score, larger primary lesion volume, and higher level of D-dimer were independent risk factors related to PHI. These factors were also independent predictors for pIPCH, but not for pEDH. The time to first CT scan and presence of skull linear fracture were robust risk factors for pEDH. After PSM, the 6-month mortality and unfavorable survival rates were significantly higher in the pIPCH group than the non-pIPCH group (24.2% vs. 1.8% and 12.1% vs. 7.3%, respectively, p < 0.001), but not significantly different between the pEDH group and the non-pEDH group. CONCLUSIONS: Understanding the specific patterns of PHI according to its classification can help early recognition and suggest targeted prevention or treatment strategies to improve patients’ neurological outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03112-x.
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spelling pubmed-99266992023-02-15 Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury Wang, Ren Yang, Dian-Xu Ding, Jun Guo, Yan Ding, Wan-Hai Tian, Heng-Li Yuan, Fang BMC Neurol Research BACKGROUND: According to the pathoanatomic classification system, progressive hemorrhagic injury (PHI) can be categorized into progressive intraparenchymal contusion or hematoma (pIPCH), epidural hematoma (pEDH), subdural hematoma (pSDH), and traumatic subarachnoid hemorrhage (ptSAH). The clinical features of each type differ greatly. The objective of this study was to determine the predictors, clinical management, and outcomes of PHI according to this classification. METHODS: Multivariate logistic regression analysis was used to identify independent risk factors for PHI and each subgroup. Patients with IPCH or EDH were selected for subgroup propensity score matching (PSM) to exclude confounding factors before evaluating the association of hematoma progression with the outcomes by classification. RESULTS: In the present cohort of 419 patients, 123 (29.4%) demonstrated PHI by serial CT scan. Of them, progressive ICPH (58.5%) was the most common type, followed by pEDH (28.5%), pSDH (9.8%), and ptSAH (3.2%). Old age (≥ 60 years), lower motor Glasgow Coma Scale score, larger primary lesion volume, and higher level of D-dimer were independent risk factors related to PHI. These factors were also independent predictors for pIPCH, but not for pEDH. The time to first CT scan and presence of skull linear fracture were robust risk factors for pEDH. After PSM, the 6-month mortality and unfavorable survival rates were significantly higher in the pIPCH group than the non-pIPCH group (24.2% vs. 1.8% and 12.1% vs. 7.3%, respectively, p < 0.001), but not significantly different between the pEDH group and the non-pEDH group. CONCLUSIONS: Understanding the specific patterns of PHI according to its classification can help early recognition and suggest targeted prevention or treatment strategies to improve patients’ neurological outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03112-x. BioMed Central 2023-02-13 /pmc/articles/PMC9926699/ /pubmed/36782124 http://dx.doi.org/10.1186/s12883-023-03112-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Ren
Yang, Dian-Xu
Ding, Jun
Guo, Yan
Ding, Wan-Hai
Tian, Heng-Li
Yuan, Fang
Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury
title Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury
title_full Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury
title_fullStr Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury
title_full_unstemmed Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury
title_short Classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury
title_sort classification, risk factors, and outcomes of patients with progressive hemorrhagic injury after traumatic brain injury
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926699/
https://www.ncbi.nlm.nih.gov/pubmed/36782124
http://dx.doi.org/10.1186/s12883-023-03112-x
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