IgG和FIB在非小细胞肺癌患者预后预测中的价值

Prognostic value of immunoglobulin G and fibrinogen for patients with non-small cell lung cancer

目的探讨免疫球蛋白G(IgG)、血浆纤维蛋白原(FIB)在非小细胞肺癌(NSCLC)患者预后预测中的临床价值。方法选取丽水市人民医院2018年3月至2021年3月收治的NSCLC患者108例的临床资料进行回顾性分析,按患者随访3年预后情况分为预后良好组(n=62)和预后不良组(n=46)。应用多因素logistic回归分析探究NSCLC患者预后的影响因素,建立受试者工作特征(ROC)曲线分析IgG、FIB及预测模型预测NSCLC患者预后的价值。结果二元logistic回归模型显示,临床分期(Ⅱ~Ⅲ期)、存在淋巴结转移、IgG、FIB均为NSCLC患者预后的影响因素(OR=11.709、302.058、14.079、6.352、4.262,均P<0.05)。ROC曲线分析显示,IgG、FIB水平预测NSCLC预后的曲线下面积(AUC)分别为0.860、0.833。将IgG、FIB水平纳入回归方程,得出模型数据,模型数据预测NSCLC预后的AUC为0.905,敏感度为0.804,特异度0.903。结论临床分期(Ⅱ~Ⅲ期)、存在淋巴结转移、IgG、FIB均为NSCLC患者预后的影响因素,基于IgG、FIB建立的预测模型预测NSCLC患者预后具有较好的价值。

Objective To investigate the clinical value of immunoglobulin G and fibrinogen in prognostic prediction for patients with non-small cell lung cancer.Methods The clinical data of 108 patients with non-small cell lung cancer treated at Lishui City People's Hospital from March 2018 to March 2021 were retrospectively analyzed.Based on their prognosis evaluated over 3 years of follow-up,the patients were categorized into a good prognosis group(n=62)and a poor prognosis group(n=46).Multivariate logistic regression analysis was conducted to identify the factors that influence the prognosis of patients with non-small cell lung cancer.Receiver operating characteristic curves were generated to evaluate the predictive value of immunoglobulin G,fibrinogen,and the predictive model for the prognosis of non-small cell lung cancer.Results The binary logistic regression model indicated that clinical stage(Ⅱ-Ⅲ),the presence of lymph node metastasis,immunoglobulin G,and fibrinogen are significant factors influencing the prognosis of patients with non-small cell lung cancer(OR=11.709,302.058,14.079,6.352,4.262,all P<0.05).Receiver operating characteristic curve analysis showed that the area under the curve for predicting the prognosis of non-small cell lung cancer based on immunoglobulin G and fibrinogen levels was 0.860 and 0.833,respectively.Incorporating immunoglobulin G and fibrinogen levels into the regression equation produced a predictive model with an area under the curve value of 0.905,a sensitivity of 0.804,and a specificity of 0.903.Conclusion Clinical stage(Ⅱ-Ⅲ),the presence of lymph node metastasis,immunoglobulin G,and fibrinogen are the factors that influence the prognosis of non-small cell lung cancer.The predictive model established based on immunoglobulin G and fibrinogen levels exhibits substantial value in predicting the prognosis of patients with non-small cell lung cancer.