首页 | 本学科首页   官方微博 | 高级检索  
     

弥漫性轴索损伤预后影响因素的Logistic回归分析
引用本文:王洪财,陈海,王波定,谢光天,庄步峰,张红,马延斌. 弥漫性轴索损伤预后影响因素的Logistic回归分析[J]. 上海交通大学学报(医学版), 2010, 30(12): 1466-1469. DOI: 10.3969/j.issn.1674-8115.2010.12.004
作者姓名:王洪财  陈海  王波定  谢光天  庄步峰  张红  马延斌
作者单位:1. 上海交通大学医学院附属第三人民医院神经外科创伤医学研究所,上海,201900
2. 宁波医疗中心李惠利医院神经外科,宁波,315041
摘    要:
目的探讨影响弥漫性轴索损伤(DAI)患者长期预后的相关因素。方法采用定群病例的前瞻性研究,记录75例DAI患者的相关指标及伤后6个月随访结果,对其临床和影像相关指标与预后进行单因素和多因素分析,多因素分析采用Logistic逐步回归分析。结果 Logistic逐步回归分析显示入院格拉斯哥昏迷评分(GCS)(OR=0.021,95%CI0.0071.557)、双侧瞳孔变化(OR=27.532,95%CI8.97557.413)、MR I弥散加权成像脑中轴部位病灶数(OR=5.753,95%CI2.1369.392)及脑中轴部位平均表观弥散系数(OR=0.353,95%CI0.1340.964)是影响DAI患者预后的相关因素;上述相关因素结合后预测DAI患者预后的准确率达92.0%。结论入院GCS、双侧瞳孔变化、MR I弥散加权成像脑中轴部位病灶数及脑中轴部位平均表观弥散系数是影响DAI患者预后的独立相关因素;临床因素与影像学指标结合则能更准确地评估DAI患者预后。 更多还原

关 键 词:弥漫性轴索损伤  logistic  回归分析  预后

Logistic regression analysis of influential factors for prognosis of diffuse axonal injury
WANG Hong-cai,CHEN Hai,WANG Bo-ding,XIE Guang-tian,ZHUANG Bu-feng,ZHANG Hong,MA Yan-bin. Logistic regression analysis of influential factors for prognosis of diffuse axonal injury[J]. Journal of Shanghai Jiaotong University:Medical Science, 2010, 30(12): 1466-1469. DOI: 10.3969/j.issn.1674-8115.2010.12.004
Authors:WANG Hong-cai  CHEN Hai  WANG Bo-ding  XIE Guang-tian  ZHUANG Bu-feng  ZHANG Hong  MA Yan-bin
Affiliation:1.Department of Neurosurgery, The Third People's Hospital, Institute of Traumatic Medicine, Shanghai Jiaotong University School of Medicine, Shanghai 201900, China;2.Department of Neurosurgery, Li Hui Li Hospital of Medical Centre, Ningbo 315041, China
Abstract:
Objective To explore the influential factors for long-term prognosis of diffuse axonal injury (DAI). Methods Prospective cohort study was performed on 75 patients with DAI, and related data of DAI and follow-up findings 6 months after injury were recorded. Single and multiple factor analysis were carried out to analyze the relationship between related factors and prognosis of DAI. Logistic regression analysis was employed for multiple factor analysis. Results Logistic regression analysis revealed that Glasgow coma score (GCS) score on admission (OR=0.021, 95% CI 0.007-1.557), bilateral pupillary abnormality (OR=27.532, 95% CI 8.975-57.413), number of lesions of brain central areas on diffusion weighted imaging of MRI (OR=5.753, 95% CI 2.136-9.392) and average apparent diffusion coefficient of brain central areas (OR=0.353, 95% CI 0.134-0.964) were influential factors for prognosis of DAI. The combination of the above factors provided a predictive accuracy of 92.0% for prognosis of DAI. Conclusion GCS on admission, bilateral pupillary abnormality, number of lesions of brain central areas on diffusion weighted imaging of MRI and average apparent diffusion coefficient of brain central areas are independent factors for prognosis of DAI. Accurate prognosis prediction for DAI may be provided on the basis of clinical and imaging findings.
Keywords:diffuse axonal injury  Logistic regression analysis  prognosis
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《上海交通大学学报(医学版)》浏览原始摘要信息
点击此处可从《上海交通大学学报(医学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号