前列腺癌患者预后因素的Cox模型分析

Analysis of significant prognostic factors in prostate cancer patients by Cox regression model

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。

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.