Nomogram based on a novel nutritional immune-inflammatory status score to predict postoperative outcomes in esophageal squamous cell carcinoma

被引:0
|
作者
Liu, Qing-Wen [1 ]
Liu, Lin [2 ]
Hu, Jun-Xi [3 ]
Hou, Jia-Qi [1 ]
He, Wen-Bo [3 ]
Shu, Yu-Sheng [4 ]
Wang, Xiao-Lin [4 ]
机构
[1] Dalian Med Univ, Dept Grad Sch, Dalian 116000, Liaoning, Peoples R China
[2] Nanjing Med Univ, Wuxi Peoples Hosp, Affiliated Wuxi Peoples Hosp, Dept Thorac Surg,Wuxi Med Ctr, Wuxi 214000, Jiangsu, Peoples R China
[3] Yangzhou Univ, Clin Med Coll, Yangzhou 225000, Jiangsu, Peoples R China
[4] Northern Jiangsu Peoples Hosp, Dept Thorac Surg, 98 Nantong West Rd, Yangzhou 225000, Jiangsu, Peoples R China
关键词
Esophageal squamous cell carcinoma; Nutrition; Immunity; Inflammation; Overall survival;
D O I
10.3748/wjg.v31.i4.101749
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
BACKGROUND The relationship between patient nutritional, immune, and inflammatory status is linked to tumor progression and prognosis. However, there are limited studies on the prognosis of esophageal squamous cell carcinoma (ESCC) after surgery based on the comprehensive indicators of these factors. AIM To develop and validate a novel nomogram based on a nutritional immune-inflammatory status (NIIS) score for predicting postoperative outcomes in ESCC. METHODS This retrospective study examined 829 patients with ESCC who underwent radical surgery between June 2016 and June 2020, with 568 patients in the training cohort and 261 patients in the validation cohort. We incorporated comprehensive indicators related to nutrition, immunity, and inflammation to develop the NIIS score, using LASSO regression. Subsequently, a nomogram combining the NIIS score and other clinicopathological parameters was developed and validated using calibration curves, time-dependent area under curves, and decision curve analysis. RESULTS We identified eight indicators that constitute the NIIS score. High-risk scores emerged as an independent risk factor for overall survival [training set HR 2.497 (1.802, 3.458), P < 0.001]. A NIIS nomogram for personalized prognostic prediction was developed by integrating the NIIS score with clinicopathological variables, yielding enhanced predictive value relative to individual indicators and the UICC/TNM staging system. CONCLUSION The NIIS score provides strong predictive value for postoperative outcomes in ESCC, thus offering a valuable tool for clinical decision-making.
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页数:18
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