中国现代医学杂志2026，Vol.36Issue(8)：1-7,7.DOI:10.3969/j.issn.1005-8982.2026.08.001
决策树联合Logistic回归模型在结肠腺瘤性息肉危险因素分析中的应用
The application of decision tree model and logistic regression model in analyzing the risk factors for colonic adenomatous polyps
摘要
Abstract
Objective To investigate risk factors for the development of colorectal adenomatous polyps by constructing a multivariable logistic regression model and a decision tree model for associated factors.Methods A retrospective analysis was conducted on 533 patients who underwent colonic polypectomy at Tongling People's Hospital between June 2019 and May 2024.Patients were categorized into adenomatous polyp(n=393)and non-adenomatous polyp groups(n=140)based on pathological findings.Clinical data were collected,including colonoscopy findings,polyp pathology results,age,sex,history of smoking,alcohol consumption,hypertension,and diabetes mellitus,and levels of triglycerides,total cholesterol,low-density lipoprotein,uric acid,bilirubin,alanine aminotransferase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP),and gamma-glutamyl transpeptidase(GGT).Multivariable logistic regression analysis was employed to identify risk factors influencing the occurrence of colonic adenomatous polyps.The Chi-square automatic interaction detection(CHAID)algorithm was used to construct a decision tree model on risk factors for adenomatous polyps.Receiver operating characteristic(ROC)curves were plotted for both models,with the area under the curve(AUC)calculated.Results The adenomatous polyp group exhibited significantly higher proportions of individuals aged ≥ 60 years,those with history of smoking and alcohol consumption,and those with hypertriglyceridemia,hyperlipidemia,and hyperuricemia compared to the non-adenomatous polyp group(P＜0.05).Multivariable logistic regression analysis revealed that age ≥ 60 years[(O^R)=1.825(95％CI:1.146,2.907)],hypertriglyceridemia[(O^R)=1.506(95％CI:1.002,2.264)],and hyperuricemia[(O^R)=2.023(95％CI:1.193,3.431)]were identified as risk factors for the development of colonic adenomatous polyps(P＜0.05).The decision tree model constructed using the CHAID algorithm indicated that age ≥ 60 years,hypertriglyceridaemia,and hyperuricemia were risk factors for the occurrence of colonic adenomatous polyps,with hyperuricemia being the most significant influencing factor.The results of the ROC curve analysis indicated that the multivariable logistic regression model predicted colonic adenomatous polyps with an AUC of 0.656,a sensitivity of 58.0％,and a specificity of 67.1％,and that the decision tree model predicted colonic adenomatous polyps with an AUC of 0.644,a sensitivity of 60.3％,and a specificity of 63.6％,indicating comparable predictive performance between the two models.Conclusion Age ≥ 60 years,hypertriglyceridemia,and hyperuricemia constitute risk factors for the development of colonic adenomatous polyps.The constructed multivariable logistic regression model and decision tree model demonstrate clinical utility in predicting colonic adenomatous polyps.关键词
结肠息肉/腺瘤性息肉/危险因素/Logistic回归模型/决策树/预测模型Key words
colonic polyp/adenomatous polyp/risk factors/logistic regression model/decision tree/prediction model分类
医药卫生引用本文复制引用
陈仁豪,汪斌..决策树联合Logistic回归模型在结肠腺瘤性息肉危险因素分析中的应用[J].中国现代医学杂志,2026,36(8):1-7,7.基金项目
安徽省重点研究与开发计划项目(2022e07020004) （2022e07020004）
