COX模型在肺癌手术预后因素分析中的应用  

SURVIVAL ANALYSIS OF POSTOPERATED PATIENTS WITH LUNG CANCER BY COX REGRESSION MODEL

作　　者：王昌玲[1] 周燕荣[1] 钟晓妮[1] 金亚萍[1] 曾军[1] 殷毓琼[2] 李良彬[2] 

机构地区：[1]重庆医科大学预防医学系 [2]重庆医科大学第一医院

出　　处：《重庆医科大学学报》1992年第1期26-30,共5页Journal of Chongqing Medical University

摘　　要：本文对191例肺癌病人的术后随访资料,应用Cox回归模型从23个可能影响患者预后的因素中,确定对预后有影响的因素有:病理类型,肿瘤大小、淋巴结转移、手术方式、切端癌浸润及并发症.其中,对患者生存影响最大的不利因素是淋巴结转移,而有利因素是病理类型为鳞癌及采用肺叶切除手术.并通过按危险指数分组的生存曲线估计了模型的拟合度及样本人群的生存率.由此,阐明了将Cox回归模型用于多因素预后分析的优越性,并为临床医师估计患者预后。This paper presents the application of Cox regression model in survival analysis of lung cancer for the first time in China.By using Cox model,a multivariate analysis was made on 191 patients with lung cancer treated by operation. Among the twenty three factors, only pathological sort, the size of tumor,lymph node metastases,type of operai ions, infiltra -ing across the end of tumor,and complications showed a high significance with prognostic relationship. Of those factors influecing postoperative survivaltime,lymph node metastases, is detrimental for patients, squamasum carcinoma and lobectomy are preferable. From survival curves of groups of different harzad groups,fit in the model and survival rale in the interclass was calculated, Therefore it showed advantages using Cox regression model in multivariate survival analysis

关 键 词：COX回归模型 多因素分析 肺肿瘤 

分 类 号：R734.207[医药卫生—肿瘤]