Ling Liu, Chu Lei, Li Li, Xi Peng, Haiyan Gong, Anhong Hu
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The newly constructed Prognostic Nutritional Index (PNI)-incorporated nomogram incorporates preoperative pathological tumor-node-metastasis (pTNM) stage, preoperative PNI, preoperative serum carcinoembryonic antigen (CEA) levels, intraoperative blood loss (IBL), and postoperative serum CEA levels.</p><p><strong>Results: </strong>Our analysis showed that preoperative PNI ≤ 47.15, preoperative CEA > 14.13 ng/mL, IBL > 130 mL, postoperative CEA > 4.8 ng/mL, and advanced pTNM stage were independent risk factors for poor survival in patients with stage I-III rectal cancer. Compared with the non-PNI nomograms (combining preoperative CEA, postoperative CEA, pTNM and IBL, but without PNI) and the conventional pTNM staging models, the C-index of the PNI-incorporated nomogram is 0.721, compared to 0.710 for non-PNI nomograms and 0.636 for pTNM staging models, demonstrating improved predictive performance. Furthermore, the PNI-incorporated nomogram achieved AUC values of 0.855, 0.759, and 0.717 for 1, 3, and 5 year overall survival prediction, respectively, in the training set, and 0.952, 0.682, and 0.658 for the corresponding time points in the validation set.</p><p><strong>Conclusion: </strong>This model significantly improves existing prognostic methods and provides clinicians with a more comprehensive and clinically applicable tool for predicting outcomes in patients with RC.</p>","PeriodicalId":12473,"journal":{"name":"Frontiers in Nutrition","volume":"12 ","pages":"1680287"},"PeriodicalIF":4.0000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12460142/pdf/","citationCount":"0","resultStr":"{\"title\":\"A prognostic nutritional index-based nomogram for predicting postoperative survival in stages I-III rectal cancer patients.\",\"authors\":\"Ling Liu, Chu Lei, Li Li, Xi Peng, Haiyan Gong, Anhong Hu\",\"doi\":\"10.3389/fnut.2025.1680287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Rectal cancer (RC) is a common malignancy of the digestive system with both high incidence and mortality. 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引用次数: 0
摘要
简介:直肠癌(RC)是一种常见的消化系统恶性肿瘤,发病率和死亡率都很高。其预后受多种因素影响,其中营养状况起关键作用。然而,目前的预后模型很少考虑这一因素。方法:为了解决这一差距,我们开发了一种新的预后图。新构建的纳入预后营养指数(PNI)的nomogram预后营养指数图包括术前病理肿瘤-淋巴结-转移(pTNM)分期、术前PNI、术前血清癌胚抗原(CEA)水平、术中出血量(IBL)和术后血清CEA水平。结果:我们的分析表明,术前句 ≤47.15 ,术前CEA > 14.13 ng / mL, IBL > 130 mL,术后CEA > 4.8 ng / mL,和先进pTNM阶段是为贫困的独立风险因素》直肠癌患者生存阶段。与非PNI nomogram(结合术前CEA、术后CEA、pTNM和IBL,但不含PNI)和传统pTNM分期模型相比,合并PNI nomogram的C-index为0.721,而非PNI nomogram为0.710,pTNM分期模型为0.636,显示出更高的预测性能。此外,纳入pni的nomogram在训练集中预测1年、3年和5年总生存期的AUC值分别为0.855、0.759和0.717,在验证集中相应时间点的AUC值分别为0.952、0.682和0.658。结论:该模型显著改进了现有的预后方法,为临床医生预测RC患者预后提供了更全面、临床适用的工具。
A prognostic nutritional index-based nomogram for predicting postoperative survival in stages I-III rectal cancer patients.
Introduction: Rectal cancer (RC) is a common malignancy of the digestive system with both high incidence and mortality. Its prognosis is influenced by multiple factors, with nutritional status playing a pivotal role. However, current prognostic models rarely incorporate this factor.
Methods: To address this gap, we have developed a novel prognostic nomogram. The newly constructed Prognostic Nutritional Index (PNI)-incorporated nomogram incorporates preoperative pathological tumor-node-metastasis (pTNM) stage, preoperative PNI, preoperative serum carcinoembryonic antigen (CEA) levels, intraoperative blood loss (IBL), and postoperative serum CEA levels.
Results: Our analysis showed that preoperative PNI ≤ 47.15, preoperative CEA > 14.13 ng/mL, IBL > 130 mL, postoperative CEA > 4.8 ng/mL, and advanced pTNM stage were independent risk factors for poor survival in patients with stage I-III rectal cancer. Compared with the non-PNI nomograms (combining preoperative CEA, postoperative CEA, pTNM and IBL, but without PNI) and the conventional pTNM staging models, the C-index of the PNI-incorporated nomogram is 0.721, compared to 0.710 for non-PNI nomograms and 0.636 for pTNM staging models, demonstrating improved predictive performance. Furthermore, the PNI-incorporated nomogram achieved AUC values of 0.855, 0.759, and 0.717 for 1, 3, and 5 year overall survival prediction, respectively, in the training set, and 0.952, 0.682, and 0.658 for the corresponding time points in the validation set.
Conclusion: This model significantly improves existing prognostic methods and provides clinicians with a more comprehensive and clinically applicable tool for predicting outcomes in patients with RC.
期刊介绍:
No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health.
Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.