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A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio
To determine the prognostic risk factors of patients with acute epidural hematoma (AEDH), a scoring system was established based on gray–white matter ratio (GWR) and internal verification was performed. All patients with AEDH who underwent surgical treatment in Qinghai Provincial People's Hospi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376358/ https://www.ncbi.nlm.nih.gov/pubmed/34414943 http://dx.doi.org/10.1097/MD.0000000000026888 |
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author | Luo, Yunxing He, Xiwu Yang, Mingfei Du, Chaonan Jin, Xiaoqing |
author_facet | Luo, Yunxing He, Xiwu Yang, Mingfei Du, Chaonan Jin, Xiaoqing |
author_sort | Luo, Yunxing |
collection | PubMed |
description | To determine the prognostic risk factors of patients with acute epidural hematoma (AEDH), a scoring system was established based on gray–white matter ratio (GWR) and internal verification was performed. All patients with AEDH who underwent surgical treatment in Qinghai Provincial People's Hospital from January 2013 to June 2019 were continuously collected. The clinical and imaging data of the patients were collected. According to Glasgow Outcome Scale at 3 months after operation, the patients were divided into poor and good prognosis groups, respectively. The GWR value of the nonhematoma side was measured at the inner capsule area. Univariate and multivariate analyses were used. Independent predictors significantly related to the prognosis of AEDH were screened out and a nomogram was established based on these factors. A total of 170 cases were included in this study, the Glasgow Coma Score (severe and moderate), cerebral hernia, midline shift, preoperative GWR, postoperative GWR, hematoma thickness/midline shift, time from coma to surgery, and decompression of bone flap were the independent risk factors for predicting the poor prognosis of AEDH. Moreover, the prediction ability of nomogram was higher than any other independent predictive factors. The nomogram model established represents the most effective factor to predict the prognosis of operated AEDH. The scoring system is characterized by high accuracy, simplicity and feasibility, with a wide range of clinical application prospects. |
format | Online Article Text |
id | pubmed-8376358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-83763582021-08-21 A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio Luo, Yunxing He, Xiwu Yang, Mingfei Du, Chaonan Jin, Xiaoqing Medicine (Baltimore) 5300 To determine the prognostic risk factors of patients with acute epidural hematoma (AEDH), a scoring system was established based on gray–white matter ratio (GWR) and internal verification was performed. All patients with AEDH who underwent surgical treatment in Qinghai Provincial People's Hospital from January 2013 to June 2019 were continuously collected. The clinical and imaging data of the patients were collected. According to Glasgow Outcome Scale at 3 months after operation, the patients were divided into poor and good prognosis groups, respectively. The GWR value of the nonhematoma side was measured at the inner capsule area. Univariate and multivariate analyses were used. Independent predictors significantly related to the prognosis of AEDH were screened out and a nomogram was established based on these factors. A total of 170 cases were included in this study, the Glasgow Coma Score (severe and moderate), cerebral hernia, midline shift, preoperative GWR, postoperative GWR, hematoma thickness/midline shift, time from coma to surgery, and decompression of bone flap were the independent risk factors for predicting the poor prognosis of AEDH. Moreover, the prediction ability of nomogram was higher than any other independent predictive factors. The nomogram model established represents the most effective factor to predict the prognosis of operated AEDH. The scoring system is characterized by high accuracy, simplicity and feasibility, with a wide range of clinical application prospects. Lippincott Williams & Wilkins 2021-08-20 /pmc/articles/PMC8376358/ /pubmed/34414943 http://dx.doi.org/10.1097/MD.0000000000026888 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | 5300 Luo, Yunxing He, Xiwu Yang, Mingfei Du, Chaonan Jin, Xiaoqing A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio |
title | A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio |
title_full | A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio |
title_fullStr | A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio |
title_full_unstemmed | A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio |
title_short | A prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio |
title_sort | prognostic scoring system for operated acute epidural hematoma based on gray–white matter ratio |
topic | 5300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376358/ https://www.ncbi.nlm.nih.gov/pubmed/34414943 http://dx.doi.org/10.1097/MD.0000000000026888 |
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