兰州大学学报（医学版）2023，Vol.49Issue(10)：46-51,6.DOI:10.13885/j.issn.1000-2812.2023.10.007
基于术前谷草转氨酶构建预测早期胃癌患者淋巴结转移的列线图模型
Construction of a nomogram chart model for predicting lymph node metastasis in early gastric cancer patients based on preoperative glutamic-oxaloacetic transaminase
摘要
Abstract
Objective To establish a nomogram chart model for predicting lymph node metastasis in early gas-tric cancer patients based on preoperative glutamic oxaloacetic transaminase,and to verify its predictive value.Methods The clinicopathological data of 189 patients who underwent gastric cancer surgery in the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University from January 2018 to October 2022 were collected,and correlations between the general clinical data of patients,preoperative glutamic-pyruvic transaminase,preoperative glutamic-oxaloacetic transaminase(GOT),preoperative platelet to lymphocyte ratio,preoperative neutrophil to lymphocyte ratio,infiltration depth,ulcer and lymph node metastasis of early gastric cancer,etc.were analyzed,and multivariate Logistic regression analysis used to obtain independent predictors of lymph node metastasis of early gastric cancer,focusing on the correlation between preoperative GOT and lymph node metastasis of early gastric cancer.A nomogram model was constructed based on inde-pendent predictors to predict the risk of lymph node metastasis of early gastric cancer,and a calibration curve of the nomogram model drawn to verify the predictive value of the model.Results Multivariate analysis results showed that invasion depth,tissue type,preoperative GOT and tumor size were independent predictors of lymph node metastasis of early gastric cancer(P<0.05),and OR were 8.356,2.115,1.888 and 1.565,95%CI were[5.312,10.655],[1.265,2.874],[1.293,4.058]and[2.547,5.873]respectively.The C-index of nomogram model was 0.838,95%CI:[0.775,0.927],and the goodness of fit test showed that the model had a good cali-bration degree(χ2 = 0.242,P = 0.784).Conclusion The nomogram model constructed by combining the invasion depth,tissue type,preoperative GOT,and tumor size has a good agreement,and is of high clinical application value for predicting the risk of lymph node metastasis in patients with early gastric cancer.关键词
早期胃癌/淋巴结转移/癌胚抗原/谷草转氨酶/列线图预测模型Key words
early gastric cancer/lymph node metastasis/carcinoembryonic antigen/glutamic-oxaloacetic transaminase/nomogram predictive model分类
医药卫生引用本文复制引用
于鹏,段绍斌..基于术前谷草转氨酶构建预测早期胃癌患者淋巴结转移的列线图模型[J].兰州大学学报（医学版）,2023,49(10):46-51,6.基金项目
新疆维吾尔自治区自然科学基金面上资助项目(2021D01C372) （2021D01C372）
