刘涛,包爱军,杨佳康,吴坤,曹广辉,韩斌,邱胜利.CT评估脑中线移位和血肿量对脑出血患者预后的预测效能.[J].中南医学科学杂志.,2022,(4):557-559.
CT评估脑中线移位和血肿量对脑出血患者预后的预测效能
Prognostic efficacy of brain midline shift and hematoma volume evaluated early by CT in patients with intracerebral hemorrhage
投稿时间:2021-11-01  修订日期:2022-02-16
DOI:10.15972/j.cnki.43-1509/r.2022.04.023
中文关键词:  脑出血  CT  脑中线移位  血肿量  预后
英文关键词:intracerebral hemorrhage  CT  brain midline shift  hematoma volume  prognosis
基金项目:合肥市卫计委应用医学研究项目(HWK2018yb009) 作者简介:刘涛,硕士,主治医师,研究方向为脑血管病与神经重症临床救治,E-mail为ltao97@163.com。
作者单位E-mail
刘涛 合肥市第二人民医院 安徽医科大学附属合肥医院神经外科,安徽省合肥市 230011 e-mail为ltao97@163.com 
包爱军 合肥市第二人民医院 安徽医科大学附属合肥医院神经外科,安徽省合肥市 230011  
杨佳康 合肥市第二人民医院 安徽医科大学附属合肥医院神经外科,安徽省合肥市 230011  
吴坤 合肥市第二人民医院 安徽医科大学附属合肥医院神经外科,安徽省合肥市 230011  
曹广辉 合肥市第二人民医院 安徽医科大学附属合肥医院神经外科,安徽省合肥市 230011  
韩斌 合肥市第二人民医院 安徽医科大学附属合肥医院神经外科,安徽省合肥市 230011  
邱胜利 合肥市第二人民医院 安徽医科大学附属合肥医院神经外科,安徽省合肥市 230011  
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中文摘要:
      目的分析CT评估脑中线移位和血肿量对脑出血(ICH)患者预后的预测效能。方法90例ICH患者,均于入院时接受头颅CT检查,根据治疗3个月后格拉斯哥预后量表评分,分为预后良好组与预后不良组,比较两组脑中线移位、血肿量,Logistic和ROC分析患者预后影响因素及脑中线移位、血肿量对预后的预测效能。结果预后不良组丘脑出血占比、脑中线移位值、血肿量大于预后良好组(P<0.05);Logistic分析显示,丘脑出血、脑中线移位值、血肿量为患者预后不良独立危险因素(P<0.05);脑中线移位值、血肿量预测患者不良预后的ROC曲线下面积(AUC)分别为0.861和0.763,脑中线移位值预测灵敏度为0.784,特异度为0.811,血肿量灵敏度为0.602,特异度为0.849。结论CT评估脑中线移位与血肿量,对ICH患者不良预后具有较高预测效能,有助于指导预后评估。
英文摘要:
      To analyze the prognostic efficacy of brain midline shift and hematoma volume evaluated early by computed tomography (CT) in patients with intracerebral hemorrhage (ICH). Methods90 patients with ICH were selected and subjected to head CT at admission. According to the Glasgow Outcome Scale (GOS) score after 3 months of treatment, patients enrolled were divided into good prognosis group and poor prognosis group. The brain midline shift value and hematoma volume were compared between the two groups, and correlation analysis was performed. The prognostic factors and prognostic efficacy of brain midline shift value and hematoma volume were analyzed. ResultsThe proportion of thalamic hemorrhage, brain midline shift value and hematoma volume of the poor prognosis group were significantly greater than those of the good prognosis group(P<0.05). Logistic analysis showed that thalamic hemorrhage, brain midline shift and hematoma volume were independent risk factors for poor prognosis(P<0.05). The area under the ROC curve (AUC) values of brain midline shift value and hematoma volume to predict poor prognosis of patients were 0.861 and 0.763, respectively. The predictive sensitivity and specificity of brain midline shift value were 0.784 and 0.811, and that of hematoma volume were 0.602 and 0.849. ConclusionEarly CT evaluation of brain midline shift and hematoma volume is of high value in predicting the prognosis of patients with ICH.
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