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Clinical analysis on risk factors and prognosis of early post-traumatic epilepsy.
Liu, Zaiming; Chen, Qianxue; Chen, Zhibiao; Wang, Junmin; Tian, Daofeng; Wang, Long; Liu, Baohui; Zhang, Shenqi.
Afiliação
  • Liu Z; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
  • Chen Q; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
  • Chen Z; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
  • Wang J; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
  • Tian D; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
  • Wang L; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
  • Liu B; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
  • Zhang S; Renmin Hospital of Wuhan University, Department of Neurosurgery, Hubei, China.
Arq Neuropsiquiatr ; 77(6): 375-380, 2019 07 15.
Article em En | MEDLINE | ID: mdl-31314838
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia Pós-Traumática / Lesões Encefálicas Traumáticas Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Arq Neuropsiquiatr Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia Pós-Traumática / Lesões Encefálicas Traumáticas Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Arq Neuropsiquiatr Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha