Construction of Prognostic Prediction Model of Patients Undergoing Radical Gastrectomy of Gastric Cancer Based on the Prognostic Immune-Inflammation-Nutrition Score
10.11969/j.issn.1673-548X.2025.07.027
- VernacularTitle:基于预后免疫-炎症-营养评分胃癌根治术患者预后预测模型的构建
- Author:
Xinting LUO
1
;
Hongbing WANG
;
Yuanxuan ZHANG
Author Information
1. 221000 徐州医科大学
- Publication Type:Journal Article
- Keywords:
Gastric cancer;
Prognosis;
Immunity;
Inflammation;
Nutrition
- From:
Journal of Medical Research
2025;54(7):152-157,84
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the survival prediction value of the prognostic immune-inflammatory-nutritional(PIIN)score for patients undergoing radical gastrectomy and construct a prognostic prediction model.Methods To retrospectively analyze the clinical data of 406 patients who underwent radical gastrectomy.Calculate the PIIN score based on fibrinogen(FIB),neutrophil to lymphocyte ra-tio(NLR),systemic immune-inflammation index(SII),albumin-bilirubin(ALBI)score,and prognostic nutritional index(PNI).According to the threshold of 31.4906,the patients were divided into the high-PIIN group and the low-PIIN group.Conduct univariate and multivariate analyses using COX regression analysis,draw the time-dependent receiver operating characteristic(TIME ROC)curve,and compare the prognostic values of various scoring systems.To construct a nomogram based on the PIIN score for risk grouping and sur-vival analysis.Results Multivariate analysis showed that nerve invasion or not,degree of differentiation,T stage,N stage,adjuvant chemotherapy status,and PIIN score were independent independent factors for the overall survival rate of gastric cancer patients.TIME ROC curve analysis indicated that the PIIN score was superior to other scoring systems in predicting survival.The areas under the curves(AUC)of the 1-year,3-year,and 5-year ROC curvesof the nomogram were 0.788,0.794 and 0.854 respectively.Moreover,there was a statistically significant difference in survival prognosis among different risk groups(P＜0.0001).Conclusion The nomogram model based on the PIIN score has good predictive ability in predicting the survival of patients undergoing radical gastrectomy for gastric cancer.
