精准医学杂志2025，Vol.40Issue(2)：142-147,6.DOI:10.13362/j.jpmed.202540039
基于炎症、营养复合指标的诊断模型对早期结直肠癌的预测价值
Value of a diagnostic model based on composite inflammatory and nutritional indicators in predicting early colorectal cancer
摘要
Abstract
Objective To construct a diagnostic model based on composite inflammatory and nutritional indicators for early colorectal cancer,and to evaluate the predictive value of the model.Methods The patients who underwent colonoscopy and received treatment in The Affiliated Hospital of Qingdao University from January 2019 to April 2021 were enrolled as the training set,and according to their lesions,they were divided into early colorectal cancer group with 106 patients and precancerous lesion group with 244 patients.The patients who underwent colonoscopy and received treatment in The Affiliated Hospital of Qingdao University from May to October 2021 were enrolled as the validation set and were divided into early colorectal cancer group with 22 patients and precancerous lesion group with 30 patients.The two groups of patients in the training set were compared in terms of clinical features,neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),monocyte-to-lymphocyte ratio(MLR),fibrinogen-to-prealbumin ratio(FPR),fibrinogen-to-albumin ratio(FAR),and prognostic nutritional index(PNI),and the independent risk factors for early colorectal cancer were analyzed.A diagnostic model for early colorectal cancer was construc-ted,and the receiver operating characteristic(ROC)curve was used to assess the diagnostic efficacy of the model.The Hosmer-Lemeshow test was used to assess the degree of fitting of the model,and the model was assessed in the validation set.Results In the training set,the early colorectal cancer group had significantly higher NLR,PLR,MLR,and FPR than the precancerous le-sion group(Z=-5.269--2.917,P＜0.05).The multivariate logistic regression analysis showed that NLR＞1.71,PLR＞169.47,and FPR＞11.25 were independent risk factors for early colorectal cancer(P＜0.05).The diagnostic model constructed for the diagnosis of early colorectal cancer in the training set had an area under the ROC curve(AUC)of 0.697,and the Hosmer-Lemeshow test showed that the model had a good degree of fitting(P＞0.05).In the validation set,the diagnostic model had an AUC of 0.727 in the diagnosis of patients with early colorectal cancer,and the Hosmer-Lemeshow test showed that the model had a good degree of fitting(P＞0.05).Conclusion NLR＞1.71,PLR＞169.47,and FPR＞11.25 are independent risk factors for early colorectal cancer,and the diagnostic model for early colorectal cancer based on NLR,PLR,and FPR has a relatively high predictive value.关键词
结直肠肿瘤/中性白细胞/淋巴细胞/血小板/纤维蛋白原/前白蛋白/危险因素/模型,统计学Key words
Colorectal neoplasms/Neutrophils/Lympho-cytes/Blood platelets/Fibrinogen/Prealbumin/Risk factors/Models,statistical分类
临床医学引用本文复制引用
刘心悦,丁雪丽,于亚男,刘爱玲,田字彬..基于炎症、营养复合指标的诊断模型对早期结直肠癌的预测价值[J].精准医学杂志,2025,40(2):142-147,6.基金项目
山东省自然科学基金资助项目(ZR2021MH-077) （ZR2021MH-077）
