首页|基于证素辨证应用logistic回归及ROC曲线探讨胃癌瘀毒证诊断模型

基于证素辨证应用logistic回归及ROC曲线探讨胃癌瘀毒证诊断模型

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目的 基于证素辨证运用logistic回归及受试者工作特征(ROC)曲线探讨胃癌瘀毒证诊断模型.方法 收集2023年1月至2023年12月衡阳市中医院及湖南省肿瘤医院住院及门诊97例胃癌患者中医四诊信息,进行证素辨证,将胃癌患者分为瘀毒证及非瘀毒证2类,探讨胃癌瘀毒证与TNM分期、凝血功能、血清炎症因子的多因素相关性,建立胃癌瘀毒证logistic回归诊断模型,并运用ROC曲线进行评价分析.结果 胃癌瘀毒证患者TNM分期较非瘀毒证患者偏晚,瘀毒证患者D-二聚体(D-D)、血浆纤维蛋白原(FIB)、血清炎症因子白细胞介素-1(IL-1)、C反应蛋白(CRP)、白细胞介素-6(IL-6)高于非瘀毒证患者,瘀毒证患者肿瘤坏死因子(TNF)低于非瘀毒证患者.基于凝血功能、血清炎症因子等客观量化指标建立的瘀毒证预测函数模型:P=1/[1+exp(25.599-1.917×D-D-2.809×IL-1-1.984×CRP-1.508×TNM分期)].预测函数模型ROC曲线下面积为0.980,灵敏度为96.2%,特异度为77.8%,总体诊断一致率为92.8%,预测函数模型具有较高的吻合度.结论 运用logistic回归及ROC曲线所建立的胃癌瘀毒证诊断模型,吻合率较高,对于提高胃癌瘀毒证辨证论治准确性具有一定的参考价值.
The diagnosis model of stuck-toxin syndrome of gastric cancer was studied by logistic regression and ROC curve based on syndrome differentiation
Objective To explore the diagnostic model of gastric cancer stasis-toxicity syndrome based on evidence-based diagnosis using logistic regression and ROC curve.Methods The information from January 2023 to December 2023 of 97 gastric cancer patients was collected from the four diagnoses of traditional Chinese medicine,and the patients were classified into stasis-toxicity syndrome and non-stasis-toxicity syndrome.The multifactorial correlation between stasis-toxicity syndrome of gastric cancer and TNM staging,coagulation function,and serum inflammatory factor was investigated,and a diagnostic model of stasis-toxicity syndrome of gastric cancer was established by using logistics regression,and the ROC curves were used for the evaluation and analysis.Results The results showed that the TNM staging of patients with gastric cancer stasis-toxicity evidence was later than that of patients without stasis-toxicity evidence,and D-dimer(D-D),plasma fibrinogen(FIB),serum inflammatory factors interleukin-1(IL-1),C-reactive protein(CRP)and interleukin-6(IL-6)were higher than those of patients with non-stasis-toxicity evidence in patients with stasis-toxicity evidence,and the tumor necrosis factor(TNF)of patients with stasis-toxicity evidence was lower than that of patients without stasis-toxicity evidence.patients with stasis-toxicity syndrome.The predictive function model of stasis-toxicity syndrome was established based on the objective quantitative indexes of coagulation function and serum inflammatory factor:P=1/[1+exp(25.599-1.917×D-D-2.809×IL-1-1.984×CRP-1.508×TNM staging)].The area under the ROC curve of the predictive function model was 0.980,the sensitivity was 96.2%,the specificity was 77.8%,and the overall diagnostic concordance rate was 92.8%,and the predictive function model had a high degree of agreement.Conclusion The diagnostic model of gastric cancer stasis-toxicity evidence established by using logistic regression and ROC curve has a high coincidence rate,which is of certain reference value for improving the accuracy of identification and treatment of gastric cancer stasis-toxicity evidence.

Stomach neoplasmsLogistic modelsROC curveStasis-toxicity syndrome

欧顺华、王菲、刘思源、李东芳、蕉蕉、唐继云

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衡阳市中医医院肿瘤科,衡阳 421001

湖南中医药大学中医学院,长沙 410208

湖南省肿瘤医院中西结合科,长沙 410013

胃肿瘤 Logistic回归 ROC曲线 瘀毒证

2024

中医外治杂志
山西医药卫生传媒集团

中医外治杂志

影响因子:0.669
ISSN:1006-978X
年,卷(期):2024.33(4)