原发性阴道癌患者预后模型及危险分层系统构建  

Prognostic models and risk stratification systems for primary vaginal cancer:a cohort study based on SEER database

作　　者：祝锦益 罗山晖 朱维培[2] Zhu Jinyi;Luo Shanhui;Zhu Weipei(Nursing Department,Second Affiliated Hospital of Soochow University,Suzhou,Jiangsu 215000,China;Department of Gynecology,Second Affiliated Hospital of Soochow University,Suzhou,Jiangsu 215000,China)

机构地区：[1]苏州大学附属第二医院护理部,江苏苏州215000 [2]苏州大学附属第二医院妇科,江苏苏州215000

出　　处：《现代临床医学》2021年第5期362-365,378,共5页Journal of Modern Clinical Medicine

摘　　要：目的:构建原发性阴道癌患者列线图模型及危险分层系统。方法:收集SEER数据库中原发性阴道癌患者的数据,采用Cox回归分析患者的预后因子,绘制列线图,并依据列线图风险得分建立危险分层系统。结果:共纳入符合标准的阴道癌患者1045例,Cox回归分析发现诊断年龄、病理类型、组织学分级、T分期、N分期、手术、淋巴结清扫情况、放疗、化疗、肿瘤直径、婚姻状况是原发性阴道癌患者的独立预后因子。由此构建的列线图的一致性指数在观察组、内部验证组中分别为0.805、0.751,模型预测效果与实际生存情况基本相符。列线图风险分层系统能对不同FIGO分期患者生存进行显著区分。结论:列线图能有效预测阴道癌患者预后,基于该列线图预测模型的危险分层系统对区分高危患者具有一定临床价值。Objective: To construct a nomogram model and risk stratification system for patients with primary vaginal cancer.Methods: The data of patients with primary vaginal cancer in SEER database were collected. The prognostic factors of patients were analyzed by Cox regression. Then the nomogram was drawn,and the risk stratification system was established according to the nomogram risk score. Results: A total of 1045 patients with vaginal cancer who met the criteria were included. Cox regression analysis revealed that age at diagnosis,pathological type,histological grade,T stage,N stage,surgery,lymph node dissection status,radiotherapy,chemotherapy,tumor diameter,and marital status were independent prognostic factors for patients with primary vaginal cancer. The concordance index of the nomogram was 0. 805 and 0. 751 in the observation group and internal validation group,respectively,and the prediction effect of the model was consistent with the actual survival situation. The nomogram risk stratification system can significantly distinguish the survival of patients with different FIGO stages. Conclusion:Nomograms can effectively predict the prognosis of patients with vaginal cancer,and the risk stratification system based on this nomogram prediction model has certain clinical value in distinguishing high-risk patients.

关 键 词：阴道癌 预后 SEER数据库 列线图 

分 类 号：R737.34[医药卫生—肿瘤]