文章摘要
李海燕,吕明,陈兴栋,常建永.脑胶质瘤患者术后生存影响因素分析[J].中华流行病学杂志,2009,30(5):507-510
脑胶质瘤患者术后生存影响因素分析
The influencing factors of the postoperative survival in patients with glioma
收稿日期:2008-11-05  出版日期:2014-09-12
DOI:
中文关键词: 脑胶质瘤;生存率;影响因素
英文关键词: Glioma;Survival;Risk factors
基金项目:
作者单位E-mail
李海燕 山东大学齐鲁医院神经外科, 济南 250012  
吕明 山东大学齐鲁医院神经外科, 济南 250012 lu.ming528@gmail.com 
陈兴栋 公共卫生学院流行病学与卫生统计学教研室  
常建永 山东大学齐鲁医院神经外科, 济南 250012  
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中文摘要:
      目的探讨影响脑胶质瘤患者术后生存的因素。方法分析2000-2006年在山东大学齐鲁医院行手术治疗的522例脑胶质瘤患者的临床资料,随访12~72个月,选择可能影响预后的因素进行生存分析。分析方法采用Kaplan-Meier法(K-M法)、对数秩检验(Log-rank法)及Cox比例风险回归模型。结果对数秩检验分析结果显示在α=0。05水平上,年龄、性别、手术切除程度、病理级别因素与患者的生存率有关;单因素Cox回归分析上述4个因素也均有统计学意义(P<0。05),HR值分别为0。811、1。553、1。634和1。429;多因素Cox模型显示年龄、病理分级、手术切除程度是影响患者生存的主要因素,随着肿瘤病理诊断分级恶性程度的增加HR值增加(Ⅱ、Ⅲ、Ⅳ级HR值分别为2。349、3。826、5。062),只有手术大部切除进入模型,HR值为1。459;其余因素对生存率的影响无统计学意义。结论患病年龄、手术切除程度、病理分级及术后放疗、化疗均可能影响患者的预后。
英文摘要:
      Objective To analyze the risk factors that associated with survival of postoperative patients with glioma.Methods From 2000 to 2006, 522 patients were enrolled in our hospital and were analyzed related risk factors by using Kaplan-Meier' s Product-Limit Survival Estimates method, log-rank test and Cox' s proportional-hazards model. Analysis of data were performed in SAS 9.1.Results In univariate analysis, age, sex, extent of resection in surgery and pathological grades appeared to be associated with survival rate of the patients (α=0.05). Cox regression analysis showed these four factors were also significant (HR value 0.811, 1.553, 1.634 and 1.429, respectively). Multivariate Cox regression model also showed that age, pathological grades and extent of resection in surgery were main factors affecting the survival of the patients while HR value increased with the ascending class (2.349, 3.826, and 5.062, respectively)with only subtotal excision enter the model (HR=1.459). Other factors had no statistical importance on survival rate.Conclusion Age, extent of resection in surgery, pathological grades, chemotherapy after surgery, and radiotherapy after surgery might associate with the prognosis of the patients with glioma.
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