86例非小细胞肺癌预后影响因素Cox回归分析

The Cox Regression Analysis of Prognostic Factors In 86 Cases of Non-small Cell Lung Cancer

目的分析非小细胞肺癌(NSCLC)预后的影响因素。方法回顾性单因素分析及Cox回归分析我院2007至2013年住院确诊为NSCLC病历资料完整的86例患者预后影响指标。结果单因素Logrank检验显示,年龄、分化程度、肿瘤分期、ZPS评分、手术、化疗共6项指标显著;Cox回归分析显示,分化程度越低患者预后越差(P=0.009),肿瘤分期越高患者预后越差(P=0.005),ZPS评分越高患者预后越差(P=0.014)。结论对NSCLC预后有独立影响的指标有肿瘤分化程度、肿瘤分期、患者ZPS评分。

Objective To analyze the Factors Affecting non-small cell lung cancer（ NSCLC） prognosis. Methods A retrospective analysis of prognostic indicators by univariate and Cox regression analysis were done in 86 patients who diagnosed with NSCLC with complete medical records in our hospital from 2007 to 2013. Results The univariate Log Rank test showed that age,degree of differentiation,tumor stage,ZPS score,surgery,chemotherapy,a total of six indicators were significant; Cox regression analysis showed that the lower the degree of differentiation,the worse the prognosis（ P = 0. 009）,tumor stage higher indicated the worse the prognosis（ P = 0. 005）,ZPS score higher in patients with worse prognosis（ P = 0. 014）. Conclusion The indicators which impact the prognosis of NSCLC were tumor differentiation,tumor stage,the patient ZPS score