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作 者:苏叶舟 徐祖滢 向卉芬[1,2,3,4,5] 魏兆莲 曹云霞[1,2,3,4,5] SU Ye-zhou;XU Zu-ying;XIANG Hui-fen;WEI Zhao-lian;CAO Yun-xia(Department of Obstetrics and Gynecology,the First Affiliated Hospital of Anhui Medical University,Hefei 230032,Anhui,China;Key Laboratory of Gamete and Reproductive Tract Abnormality Research,National Health Commission,Hefei 230032,Anhui,China;Key Laboratory of Birth Population Health Ministry of Education,Hefei 230032,Anhui,China;Anhui Provincial Key Laboratory of Reproductive Health and Genetics,Hefei 230032,Anhui,China;Anhui Provincial Research Center for Life Resources Conservation and Artificial Organ Engineering Technology
机构地区:[1]安徽医科大学第一附属医院妇产科,安徽合肥230032 [2]国家卫生健康委配子及生殖道异常研究重点实验室,安徽合肥230032 [3]出生人口健康教育部重点实验室,安徽合肥230032 [4]生殖健康与遗传安徽省重点实验室,安徽合肥230032 [5]安徽省生命资源保存与人工器官工程技术研究中心<安徽医科大学>,安徽合肥230032
出 处:《医学信息》2020年第8期80-83,共4页Journal of Medical Information
基 金:安徽省2017年公益性技术应用研究联动计划项目(编号:1704f0804022)。
摘 要:目的探讨C反应蛋白与白蛋白之比(CAR)与宫颈癌患者淋巴结转移和预后的关系。方法回顾性分析2008年1月~2013年1月安徽医科大学第一附属医院收治的407例行宫颈癌根治术ⅠB~ⅡA期宫颈癌患者患者的临床病理资料,根据CAR临界值分为CAR高组及CAR低组,比较两组临床资料,并采用Cox单因素和多因素分析宫颈癌患者预后的相关因素,采用Kaplan-Meier法分析两组生存率。结果ROC曲线分析显示,CAR截值为0.15,ROC曲线下的面积分别为0.709,CAR随访时间、敏感度、特异度分别为5年,0.756,0.894。两组年龄、肿瘤大小、病理类型比较,差异无统计学意义(P>0.05);两组辅助治疗、肿瘤分期、淋巴结是否转移比较,差异有统计学意义(P<0.05)。Cox单因素分析显示,宫颈癌患者的预后与肿瘤分期、辅助治疗、淋巴结转移、NLR、PLR、PNI、CAR相关(P<0.05);Cox多因素分析显示,肿瘤分期、辅助治疗和CAR是影响宫颈癌患者预后的独立因素(P<0.05)。Kaplan-Meier生存曲线显示,CAR高组生存率低于CAR低组,差异有统计学意义(P<0.05)。结论CAR值是影响宫颈癌患者预后的独立因素,其预测价值较好。Objective To explore the relationship between the ratio of C-reactive protein to albumin(CAR)and lymph node metastasis and prognosis in patients with cervical cancer.Methods A retrospective analysis of the clinicopathological data of 407 patients with cervical cancer stageⅠB~ⅡA who were admitted to the First Affiliated Hospital of Anhui Medical University from January 2008 to January 2013 was divided into CAR high groups according to the CAR threshold compared with the CAR low group,the clinical data of the two groups were compared.Cox univariate and multivariate were used to analyze the prognostic factors of cervical cancer patients.The Kaplan-Meier method was used to analyze the survival rates of the two groups.Results ROC curve analysis showed that the CAR cut-off value was 0.15,the area under the ROC curve was 0.709,and the CAR follow-up time,sensitivity,and specificity were 5 years,0.756,and 0.894,respectively.There was no statistically significant difference in age,tumor size,and pathological type between the two groups(P>0.05);there were statistically significant differences in adjuvant therapy,tumor stage,and lymph node metastasis between the two groups(P<0.05).Cox single factor analysis showed that the prognosis of cervical cancer patients was related to tumor staging,adjuvant therapy,lymph node metastasis,NLR,PLR,PNI,CAR(P<0.05);Cox multivariate analysis showed that tumor staging,adjuvant therapy,and CAR independent factors for the prognosis of cervical cancer patients(P<0.05).The Kaplan-Meier survival curve showed that the survival rate of the high CAR group was lower than that of the low CAR group,the difference was statistically significant(P<0.05).Conclusion CAR value is an independent factor affecting the prognosis of cervical cancer patients,and its predictive value is good.
关 键 词:C反应蛋白与白蛋白之比 宫颈癌 预后因子
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