摘要
目的探究晚期胆道癌患者红细胞参数与一线化疗无进展生存时间(progress free survival,PFS)之间的关系。方法回顾性收集从2015年9月~2018年12月在中国科学技术大学附属第一医院接受一线化疗的晚期胆道癌患者的临床资料和血液学参数。利用单因素和多因素分析红细胞参数基线值和动态变化与患者一线化疗PFS之间的关系。结果治疗前的RBC(P<0.001)、HBG(P=0.019)和Mentzer指数(P=0.018)对PFS均有预测作用。RBC和HBG越高,Mentzer指数越低,PFS越长。Cox多因素回归分析显示以上红细胞参数均不是PFS的独立预测因子(P>0.05)。治疗后RBC不减低的患者PFS越长。结论RBC、HBG和Mentzer指数对晚期胆道癌患者一线化疗的PFS有一定预测作用,但不是独立预测因素,值得进一步研究。
Objective To investigate the relationship between erythrocyte parameters and progress free survival time (PFS) in patients with advanced biliary tract cancer.Methods The clinical data and hematology parameters of patients diagnosed as advanced biliary tract cancer were retrospectively collected,who all received first-line chemotherapy at the First Affiliated Hospital of University of Science and Technology of China from Sept.2015 to Dec.2018.Univariate and multivariate analyses were performed to analyze the relationship between baseline and dynamic changes in erythrocyte parameters and PFS of patients received the first-line chemotherapy. Results The pre-treatment value of RBC (P < 0.001),HBG (P = 0.019),and Mentzer index (P = 0.018) had predictive effects on PFS.The higher value of RBC and HBG,the lower value of Mentzer index all respectively suggested the longer PFS.Cox multivariate regression analysis showed that erythrocyte parameters were not the independent predictors of PFS (P > 0.05).Patients with unreduced RBC after chemotherapy had longer PFS.Conclusion RBC,HBG and Mentzer index had partial predictive effects on the PFS of patients under first-line chemotherapy,but they were not the independent predictors and deserved further investigation.
作者
王伟
沈夏波
王刚
何义富
季楚舒
胡冰
潘跃银
WANG Wei;SHEN Xia-bo;WANG Gang(Department of Chemotherapy,The First Affiliated Hospital of USTC(Anhui Provincial Hospital),University of Science and Technology of China,Hefei 230001,China)
出处
《肝胆外科杂志》
2019年第3期228-233,共6页
Journal of Hepatobiliary Surgery
基金
安徽省自然科学基金(1708085QH177)
关键词
胆道癌
红细胞参数
Mentzer指数
化疗
预测
biliary tract cancer
erythrocyte parameters
mentzer index
chemotherapy
prediction
