[1]徐建星　陈吉钢　张丹枫　李振兴　曲笑霖.CT测量的脑中线移位是脑出血预后的独立预测因素[J].中国临床神经外科杂志,2019,(03):138-140.[doi:10.13798/j.issn.1009-153X.2019.03.004]
　XU Jian- xing,CHEN Ji- gang,ZHANG Dan- feng,et al.Value of midline shift found by CT to prediction of prognoses in the patients with spontaneous intracerebral hemorrhage[J].,2019,(03):138-140.[doi:10.13798/j.issn.1009-153X.2019.03.004]
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CT测量的脑中线移位是脑出血预后的独立预测因素()
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《中国临床神经外科杂志》[ISSN:1009-153X/CN:42-1603/TN]

卷:
期数:
2019年03期
页码:
138-140
栏目:
论著
出版日期:
2019-03-20

文章信息/Info

Title:
Value of midline shift found by CT to prediction of prognoses in the patients with spontaneous intracerebral hemorrhage
文章编号:
1009-153X（2019）03-0138-03
作者:
徐建星　陈吉钢　张丹枫　李振兴　曲笑霖
作者单位：200003 上海，海军军医大学附属上海长征医院神经外科（徐建星、陈吉钢、张丹枫、李振兴、曲笑霖）；518020 广东，深圳市康宁医院神经外科/深圳市精神卫生中心（徐建星）
Author(s):
XU Jian- xing1; 2;  CHEN Ji- gang1;  ZHANG Dan- feng1;  LI Zhen- xing1;  QU Xiao- Lin1.
1. Department of Neurosurgery, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200003, China; 2. Shenzhen Kangning Hospital and Shenzhen Mental Health Center, Shenzhen 518020, China
关键词:
脑出血; CT; 脑中线移位; 预后
Keywords:
CT;  Midline shift;  Cerebral hemorrhage;  Prognosis;  Relationship
分类号:
R 743.34; R 445.3
DOI:
10.13798/j.issn.1009-153X.2019.03.004
文献标志码:
A
摘要:
目的 探讨CT显示脑中线移位程度与自发性脑出血预后的关系。方法 回顾性分析2012年1月至2018年1月收治的自发性脑出血的临床资料。采用多因素Logistic回归分析鉴别脑出血预后的独立预测因素；同时采用受试者工作特征（ROC）曲线分析判断脑中线移位值对于预测不良预后的最佳分界点。结果 发病3个月，预后良好（GOS评分4~5分）132例，预后不良（GOS评分1~3分）79例。多因素Logistic回归分析显示，入院GCS评分低、血肿形态不规则、脑中线移位严重为预后不良的独立危险因素（P<0.05）。ROC曲线结果显示，脑中线移位≥3.65 mm预测不良预后的敏感性为0.835、特异性为0.758。结论 脑中线移位是脑出血预后的独立预测因素，移位大于3.65 mm时可能预后不良。
Abstract:
Objective To investigate the relationship between midline shift (MLS) and prognosis in the patient with spontaneous intracerebral hemorrhage (sICH). Methods The clinical and radiological data of 211 patients with sICH treated in Changzheng Hospital from January, 2012 to January, 2018 were analyzed retrospectively. MLS value was calculated on the cerebral CT images and its relationship with the prognoses 3 months after sICH was evaluated by multivariate logistic regression analysis. The optimal MLS value cut-off point for the prognoses prediction was decided by receiver operating characteristics (ROC) curve analysis. Results The multivariate logistic regression analysis showed that MLS was an independent predictor for the prognoses in the patients with sICH. The predictive value was confirmed by ROC curve analysis, and the optimal MLS value cut-off point was 3.65 mm. Conclusions MLS is associated with clinical prognosis and MLS value >3.65 mm may independently predict poor prognoses in the patients with sICH.

参考文献/References:


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更新日期/Last Update: 2019-03-25