Prognostic value of immunoglobulin G and fibrinogen for patients with non-small cell lung cancer
10.3760/cma.j.cn341190-20240408-00352
- VernacularTitle:IgG和FIB在非小细胞肺癌患者预后预测中的价值
- Author:
Yuling LI
1
;
Junzhi ZHANG
;
Xuan CHEN
Author Information
1. 浙江中医药大学研究生院，杭州 310032
- Keywords:
Carcinoma,non-small-cell lung;
Immunoglobulin G;
Fibrinogen;
Prognosis;
Forecasting;
Logistic models;
Root cause analysis;
Sensitivity and specificity
- From:
Chinese Journal of Primary Medicine and Pharmacy
2024;31(11):1601-1606
- CountryChina
- Language:Chinese
-
Abstract:
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.
