摘要
目的探究血液学指标中性粒细胞与淋巴细胞比值(NLR)预测尤因肉瘤患者生存期的价值。方法分析64例尤因肉瘤患者的临床资料,计算患者入院时的NLR,绘制受试者工作特征(ROC)曲线获得曲线下面积(AUC),寻找最佳截断值,将数据变更为二分类变量,采用Kaplan-Meier方法进行单因素分析,采用Cox比例风险回归模型进行多个因变量数据分析。结果NLR的最佳截断值为2.32,以此分为高NLR组和低NLR组,尤因肉瘤患者中高NLR组3、5 a生存率分别为51.22%、34.14%,低NLR组3、5 a生存率分别为76.19%、51.52%,差异有统计学意义(P=0.001)。单因素分析显示发生肺转移患者与未发生肺转移患者的生存期差异有统计学意义(P<0.05)。多变量Cox生存回归数据显示NLR是患者生存期的影响因素(P<0.05)。结论NLR可以作为预测尤因肉瘤患者生存期的指标,NLR>2.32时患者的生存期短。
Objective To explore the value of neutrophil to lymphocyte ratio(NLR)in predicting the survival of Ewing’s sarcoma patients.Methods To analyze the clinical data of 64 patients with Ewing sarcoma,calculate the NLR of patients at admission,draw the receiver operating characteristic(ROC)curve of subjects to obtain the area under the curve(AUC),find the best cut-off value,change the data to two categorical variable.Kaplan-Meier method was used for univariate analysis,and Cox proportional survival regression model was used for data analysis of multiple dependent variables.Results The optimal cut-off point for NLR was 2.32,high NLR group and low NLR group were divided based on this.The 3-year and 5-year survival rates in the high NLR group were 51.22%and 34.14%,respectively,while in the low NLR group were 76.19%and 51.52%,respectively,with statistically differences(P=0.001).Univariate analysis showed statistically difference in survival time between patients with and without lung metastasis(P<0.05).Multivariate Cox survival regression data showed that NLR was an influencing factor for patient survival time(P<0.05).Conclusion NLR can be used as a predictor of survival in patients with Ewing sarcoma,and patients with NLR>2.32 have a shorter survival period.
作者
王帝
卢新昌
李甲振
WANG Di;LU Xinchang;LI Jiazhen(The Third Ward of Orthopaedics Department,the First Affiliated Hospital of Zhengzhou University,Zhengzhou 450000,China)
出处
《河南医学研究》
CAS
2023年第13期2324-2327,共4页
Henan Medical Research
