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Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy
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Zeitschriftentitel: | Arquivos de Neuro-Psiquiatria |
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Personen und Körperschaften: | , , , , , , , |
In: | Arquivos de Neuro-Psiquiatria, 77, 2019, 6, S. 375-380 |
Format: | E-Article |
Sprache: | Unbestimmt |
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LIU, Zaiming CHEN, Qianxue CHEN, Zhibiao WANG, Junmin TIAN, Daofeng WANG, Long LIU, Baohui ZHANG, Shenqi LIU, Zaiming CHEN, Qianxue CHEN, Zhibiao WANG, Junmin TIAN, Daofeng WANG, Long LIU, Baohui ZHANG, Shenqi |
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LIU, Zaiming CHEN, Qianxue CHEN, Zhibiao WANG, Junmin TIAN, Daofeng WANG, Long LIU, Baohui ZHANG, Shenqi |
spellingShingle |
LIU, Zaiming CHEN, Qianxue CHEN, Zhibiao WANG, Junmin TIAN, Daofeng WANG, Long LIU, Baohui ZHANG, Shenqi Arquivos de Neuro-Psiquiatria Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy Neurology Neurology (clinical) |
author_sort |
liu, zaiming |
spelling |
LIU, Zaiming CHEN, Qianxue CHEN, Zhibiao WANG, Junmin TIAN, Daofeng WANG, Long LIU, Baohui ZHANG, Shenqi 1678-4227 0004-282X FapUNIFESP (SciELO) Neurology Neurology (clinical) http://dx.doi.org/10.1590/0004-282x20190071 <jats:p>ABSTRACT Objective To analyze the risk factors and prognosis related to early post-traumatic epilepsy (EPTE). Methods One hundred and eighty-six patients with traumatic brain injury were enrolled. Their full clinical data were collected. Single factor analysis and logistic regression analysis of risk factors related to EPTE were performed. The prognosis of patients was determined. Results Single factor analysis showed that there were significant differences of age (p = 0.011), epilepsy history (p < 0.001), injury site (p = 0.004), injury type (p < 0.001) and injury degree (p < 0.001) between the EPTE group (40 patients) and non-EPTE group (146 patients). Logistic regression analysis showed that the injury site, injury type and injury degree were the main risk factors for EPTE. The odds ratio values of injury site, injury type and injury degree were 1.977 (1.473–2.679), 2.096 (1.543–2.842) and 2.376 (1.864–3.609), respectively. The logistic regression equation was P = Exp (-1.473 + 0.698 × injury site + 0.717 × injury type + 0.935 × injury degree). The sensitivity and specificity of injury site, injury type and injury degree for predicting EPTE were 79.2% and 80.5%, 78.9% and 85.7% and 84.2% and 81.0%, respectively. The analysis of prognosis showed that the Glasgow Outcome Scale/Activity of Daily Living Scale scores in the EPTE group were significantly lower than those in non-EPTE group (p < 0.05). Conclusions Injury site, injury type and injury degree are the main risk factors for EPTE. The prognosis of patients with traumatic brain injury can be affected by EPTE.</jats:p> Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy Arquivos de Neuro-Psiquiatria |
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title |
Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_unstemmed |
Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_full |
Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_fullStr |
Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_full_unstemmed |
Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_short |
Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_sort |
clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
topic |
Neurology Neurology (clinical) |
url |
http://dx.doi.org/10.1590/0004-282x20190071 |
publishDate |
2019 |
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375-380 |
description |
<jats:p>ABSTRACT Objective To analyze the risk factors and prognosis related to early post-traumatic epilepsy (EPTE). Methods One hundred and eighty-six patients with traumatic brain injury were enrolled. Their full clinical data were collected. Single factor analysis and logistic regression analysis of risk factors related to EPTE were performed. The prognosis of patients was determined. Results Single factor analysis showed that there were significant differences of age (p = 0.011), epilepsy history (p < 0.001), injury site (p = 0.004), injury type (p < 0.001) and injury degree (p < 0.001) between the EPTE group (40 patients) and non-EPTE group (146 patients). Logistic regression analysis showed that the injury site, injury type and injury degree were the main risk factors for EPTE. The odds ratio values of injury site, injury type and injury degree were 1.977 (1.473–2.679), 2.096 (1.543–2.842) and 2.376 (1.864–3.609), respectively. The logistic regression equation was P = Exp (-1.473 + 0.698 × injury site + 0.717 × injury type + 0.935 × injury degree). The sensitivity and specificity of injury site, injury type and injury degree for predicting EPTE were 79.2% and 80.5%, 78.9% and 85.7% and 84.2% and 81.0%, respectively. The analysis of prognosis showed that the Glasgow Outcome Scale/Activity of Daily Living Scale scores in the EPTE group were significantly lower than those in non-EPTE group (p < 0.05). Conclusions Injury site, injury type and injury degree are the main risk factors for EPTE. The prognosis of patients with traumatic brain injury can be affected by EPTE.</jats:p> |
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author | LIU, Zaiming, CHEN, Qianxue, CHEN, Zhibiao, WANG, Junmin, TIAN, Daofeng, WANG, Long, LIU, Baohui, ZHANG, Shenqi |
author_facet | LIU, Zaiming, CHEN, Qianxue, CHEN, Zhibiao, WANG, Junmin, TIAN, Daofeng, WANG, Long, LIU, Baohui, ZHANG, Shenqi, LIU, Zaiming, CHEN, Qianxue, CHEN, Zhibiao, WANG, Junmin, TIAN, Daofeng, WANG, Long, LIU, Baohui, ZHANG, Shenqi |
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description | <jats:p>ABSTRACT Objective To analyze the risk factors and prognosis related to early post-traumatic epilepsy (EPTE). Methods One hundred and eighty-six patients with traumatic brain injury were enrolled. Their full clinical data were collected. Single factor analysis and logistic regression analysis of risk factors related to EPTE were performed. The prognosis of patients was determined. Results Single factor analysis showed that there were significant differences of age (p = 0.011), epilepsy history (p < 0.001), injury site (p = 0.004), injury type (p < 0.001) and injury degree (p < 0.001) between the EPTE group (40 patients) and non-EPTE group (146 patients). Logistic regression analysis showed that the injury site, injury type and injury degree were the main risk factors for EPTE. The odds ratio values of injury site, injury type and injury degree were 1.977 (1.473–2.679), 2.096 (1.543–2.842) and 2.376 (1.864–3.609), respectively. The logistic regression equation was P = Exp (-1.473 + 0.698 × injury site + 0.717 × injury type + 0.935 × injury degree). The sensitivity and specificity of injury site, injury type and injury degree for predicting EPTE were 79.2% and 80.5%, 78.9% and 85.7% and 84.2% and 81.0%, respectively. The analysis of prognosis showed that the Glasgow Outcome Scale/Activity of Daily Living Scale scores in the EPTE group were significantly lower than those in non-EPTE group (p < 0.05). Conclusions Injury site, injury type and injury degree are the main risk factors for EPTE. The prognosis of patients with traumatic brain injury can be affected by EPTE.</jats:p> |
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spelling | LIU, Zaiming CHEN, Qianxue CHEN, Zhibiao WANG, Junmin TIAN, Daofeng WANG, Long LIU, Baohui ZHANG, Shenqi 1678-4227 0004-282X FapUNIFESP (SciELO) Neurology Neurology (clinical) http://dx.doi.org/10.1590/0004-282x20190071 <jats:p>ABSTRACT Objective To analyze the risk factors and prognosis related to early post-traumatic epilepsy (EPTE). Methods One hundred and eighty-six patients with traumatic brain injury were enrolled. Their full clinical data were collected. Single factor analysis and logistic regression analysis of risk factors related to EPTE were performed. The prognosis of patients was determined. Results Single factor analysis showed that there were significant differences of age (p = 0.011), epilepsy history (p < 0.001), injury site (p = 0.004), injury type (p < 0.001) and injury degree (p < 0.001) between the EPTE group (40 patients) and non-EPTE group (146 patients). Logistic regression analysis showed that the injury site, injury type and injury degree were the main risk factors for EPTE. The odds ratio values of injury site, injury type and injury degree were 1.977 (1.473–2.679), 2.096 (1.543–2.842) and 2.376 (1.864–3.609), respectively. The logistic regression equation was P = Exp (-1.473 + 0.698 × injury site + 0.717 × injury type + 0.935 × injury degree). The sensitivity and specificity of injury site, injury type and injury degree for predicting EPTE were 79.2% and 80.5%, 78.9% and 85.7% and 84.2% and 81.0%, respectively. The analysis of prognosis showed that the Glasgow Outcome Scale/Activity of Daily Living Scale scores in the EPTE group were significantly lower than those in non-EPTE group (p < 0.05). Conclusions Injury site, injury type and injury degree are the main risk factors for EPTE. The prognosis of patients with traumatic brain injury can be affected by EPTE.</jats:p> Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy Arquivos de Neuro-Psiquiatria |
spellingShingle | LIU, Zaiming, CHEN, Qianxue, CHEN, Zhibiao, WANG, Junmin, TIAN, Daofeng, WANG, Long, LIU, Baohui, ZHANG, Shenqi, Arquivos de Neuro-Psiquiatria, Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy, Neurology, Neurology (clinical) |
title | Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_full | Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_fullStr | Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_full_unstemmed | Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_short | Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_sort | clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
title_unstemmed | Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy |
topic | Neurology, Neurology (clinical) |
url | http://dx.doi.org/10.1590/0004-282x20190071 |