Guo Hao, Wang Tingting, Jiang Xiaoyang, Wang Jiajia, Ma Xinghao
Department of Nutrition. School of Public Health. Anhui Medical University. Department of Clinical Nutrition. Lu'an Hospital. Anhui Medical University.
Department of Nutrition, SchooDepartment of Nutrition. School of Public Health. Anhui Medical University. Department of Clinical Nutrition. Lu'an Hospital. Anhui Medical University.
Nutr Hosp. 2025 Sep 4;42(4):728-737. doi: 10.20960/nh.05679.
Introduction:Few studies have investigated the combined prognostic value of the prognostic nutritional index (PNI) and plasma fibrinogen (FIB) in predicting long-term survival in patients undergoing radical gastrectomy for gastric cancer. Objectives: This study aimed to examine the association between preoperative PNI, FIB, and overall survival (OS) in patients undergoing radical gastrectomy, and to develop a prognostic nomogram for predicting postoperative OS in gastric cancer (GC) patients. Methods: This retrospective study included 395 patients who underwent radical gastrectomy. Univariate and multivariate Cox proportional hazards regressions were used to identify independent prognostic factors and develop a nomogram for predicting overall survival (OS). The nomogram's accuracy and discriminatory performance were evaluated using the Receiver Operating Characteristic (ROC) curve, concordance index (C-index), and calibration curve. Decision curve analysis (DCA) was also applied to assess its clinical utility. Results: The findings from the multivariate COX regression analysis revealed that preoperative PNI, plasma FIB, nerve invasion, and pathological TNM stage were identified as independent predictive variables for postoperative OS in patients who underwent radical gastrectomy (P<0.05). Patients with high PNI (PNI>49.3) and low FIB (FIB<3.6) had a substantially greater OS. The nomogram, developed from independent prognostic factors, exhibited a C-index of 0.782, surpassing the predictive accuracy of pathological TNM staging alone (C-index = 0.719) in predicting overall survival (OS). Conclusions: The prognostic nomogram incorporating PNI and FIB is a reliable tool for forecasting postoperative survival in GC patients and aiding surgeons in devising individualized treatment strategies.
很少有研究探讨预后营养指数(PNI)和血浆纤维蛋白原(FIB)联合预测胃癌根治术患者长期生存的价值。目的:本研究旨在探讨根治性胃癌切除术患者术前PNI、FIB与总生存期(OS)之间的关联,并建立预测胃癌(GC)患者术后OS的预后列线图。方法:本回顾性研究纳入395例行根治性胃癌切除术的患者。采用单因素和多因素Cox比例风险回归分析来确定独立预后因素,并建立预测总生存期(OS)的列线图。使用受试者工作特征(ROC)曲线、一致性指数(C指数)和校准曲线评估列线图的准确性和鉴别性能。还应用决策曲线分析(DCA)评估其临床实用性。结果:多因素COX回归分析结果显示,术前PNI、血浆FIB、神经侵犯和病理TNM分期被确定为根治性胃癌切除术患者术后OS的独立预测变量(P<0.05)。PNI高(PNI>49.3)且FIB低(FIB<3.6)的患者OS显著更长。由独立预后因素建立的列线图的C指数为0.782,在预测总生存期(OS)方面超过了单纯病理TNM分期的预测准确性(C指数 = 0.719)。结论:纳入PNI和FIB的预后列线图是预测GC患者术后生存并帮助外科医生制定个体化治疗策略的可靠工具。