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前列腺癌患者预后因素的Cox模型分析
引用本文:赵斌,王东文,张利,张剑.前列腺癌患者预后因素的Cox模型分析[J].基层医学论坛,2008,12(19):584-586.
作者姓名:赵斌  王东文  张利  张剑
作者单位:1. 山西医科大学,山西,太原,030001
2. 山西医科大学第一医院,山西,太原,030001
摘    要:目的探讨影响前列腺癌患者预后的因素。方法将我院2000年1月-2006年12月收治的125例前列腺癌患者作为观察对象,对其预后进行电话随访,运用Cox回归模型进行单因素和多因素分析。结果多因素Cox回归模型分析显示Gleason评分(RR=2.012,P=0.006)、转移症状(RR=1.964,P=0.038)、合并症(RR=1.359,P=0.010)和全雄激素阻断(RR=0.960,P=0.023)4个因素是影响前列腺癌患者生存率的主要因素。结论Gleason评分、转移症状、合并症、全雄激素阻断是影响前列腺癌预后的主要因素,应根据这些因素选择适当的治疗方法,以提高患者的生存质量,改善患者的预后。

关 键 词:前列腺癌  预后  Cox回归模型

Analysis of significant prognostic factors in prostate cancer patients by Cox regression model
Zhao Bin,Wang Dongwen,Zhang Li,et al..Analysis of significant prognostic factors in prostate cancer patients by Cox regression model[J].Public Medical Forum Magazine,2008,12(19):584-586.
Authors:Zhao Bin  Wang Dongwen  Zhang Li  
Institution:Zhao Bin1,Wang Dongwen2,Zhang Li2,et al.1 Shanxi Medical University,Tai Yuan 030001,2 Department of Urology,The First Hospital of Shanxi Medical University,Tai Yuan 030001
Abstract:Objective To study prognostic factors in prostate cancer patients.Methods A study of prognostic factors and survival from prostate cancer was conducted,using data from all patient in the First Hospital of Shanxi Medical University diagnosed with prostate cancer during 2000-2006 and followed to 2007 Oct(n = 125).Survival was analyzed by Cox regression models.Results Multivariate analysis by Cox regression model showed that Gleason score(RR=2.012,P=0.006)and metastasis complaint (RR=1.964,P=0.038) and complication (RR=1.359,P=0.010)and maximal androgen blockade (RR=0.960,P=0.023)had significant effect on survival.Conclusion Gleason score and metastasis complaint and complication and maximal androgen blockade were significant prognostic factors in prostate cancer patients.
Keywords:Prostate cancer Prognosis Cox regression model
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