结肠息肉癌变的危险因素分析和风险预测模型构建OA
Risk Factor Analysis and Risk Prediction Model Construction of Colon Polyps Canceration
目的 分析结肠息肉发生癌变的危险因素,构建结肠息肉癌变的风险预测模型.方法 回顾性分析安徽医科大学第一附属医院2020年1月-2022年10月行结肠镜下结肠息肉切除,且资料完整的1029例患者临床病理资料.根据病理结果分为癌变组和非癌变组.对两组临床资料进行单因素分析,将单因素分析有统计学意义的指标纳入多因素Logistic回归分析,筛选出结肠息肉癌变的独立危险因素,基于独立危险因素构建结肠息肉患者癌变的风险预测模型.采用Bootstrap重抽样对模型进行内部验证,绘制受试者工作特征曲线(ROC曲线)评价列线图的准确性;采用Hosmer-Lemeshow(H-L)及校准曲线检验判断预测模型的一致性;采用临床决策曲线评价模型的临床有效性.结果 1029例患者中,癌变组336例,非癌变组693例.两组身体质量指数、其他肠道疾病史、胆囊手术史、阑尾手术史、息肉数目、息肉最大直径、息肉部位、血糖、血清总胆固醇、血清高密度脂蛋白胆固醇、血清低密度脂蛋白胆固醇比较,差异有统计学意义(P<0.05);多因素Logistic回归分析显示,无阑尾手术史、息肉直径>1 cm、息肉≥3枚、息肉发生于横结肠或乙状结肠是息肉癌变的独立危险因素(P<0.05).构建癌变风险预测模型为:y=-4.517-2.578×(有阑尾手术史)+1.807×(息肉数目≥3枚)+3.145×(息肉直径>1 cm)-1.023×(横结肠息肉)+0.541×(乙状结肠息肉).预测模型ROC 曲线下面积(AUC)为 0.876,95%CI(0.855~0.898),验证组中 AUC=0.877,95%CI(0.860~0.880),H-L检验显示本模型拟合优度较高(P=0.627,x2=6.184),列线图的校准曲线接近参考线.结论 无阑尾手术史、息肉直径>1 cm、息肉≥3枚、息肉发生于横结肠或乙状结肠是息肉癌变的独立危险因素,基于此构建的预测模型有良好的预测价值.
Objective To analyze the risk factors of colon polyps canceration and construct a risk prediction model for colon polyps canceration.Methods The clinicopathological data of 1029 patients with complete data who underwent colonic polypectomy under colonoscopy in the First Affiliated Hospital of Anhui Medical University from January 2020 to October 2022 were retrospectively analyzed.According to the pathological results,they were divided into cancerous group and non-cancerous group.Univariate analysis was performed on the clinical data of the two groups,and the indicators with statistical significance in univariate analysis were included in multivariate logistic regression analysis to screen out the independent risk factors for colon polyps canceration.Based on the independent risk factors,a risk prediction model for canceration in patients with colon polyps was constructed.Bootstrap resampling was used to verify the model internally,and the receiver operating characteristic curve(ROC curve)was drawn to evaluate the accuracy of the nomogram.The consistency of the prediction model was judged by Hosmer-Lemeshow(H-L)and calibration curve test.The clinical effectiveness of the model was evaluated by clinical decision curve.Results Among the 1029 patients,336 patients were in the cancerous group and 693 patients in the non-cancerous group.There were statistically significant differences in body mass index,history of other intestinal diseases,history of gallbladder surgery,history of appendectomy,number of polyps,maximum diameter of polyps,location of polyps,blood glucose,serum total cholesterol,serum high-density lipoprotein cholesterol and serum low-density lipoprotein cholesterol between the two groups(P<0.05).Multivariate logistic regression analysis showed that no history of appendectomy,polyps diameter>1 cm,number of polyps ≥3,and polyp in transverse colon or sigmoid colon were independent risk factors for polyps canceration(P<0.05).The cancer risk prediction model was constructed as follows:y=-4.517-2.578×(history of appendectomy)+1.807×(number of polyps ≥3)+3.145×(polyps diameter>1 cm)-1.023×(transverse colon polyps)+0.541×(sigmoid colon polyps).The area under the ROC curve(AUC)of the prediction model was 0.876,95%CI(0.855-0.898),and AUC=0.877,95%CI(0.860-0.880)in the validation group.The H-L test showed that the goodness of fit of the model was high(P=0.627,x2=6.184),and the calibration curve of the nomogram was close to the reference line.Conclusion No history of appendectomy,polyps diameter>l cm,number of polyps ≥3,and polyp in transverse colon or sigmoid colon are independent risk factors for colon polyps canceration.The prediction model based on this has good predictive value.
李华文;宋育林
安徽医科大学第一附属医院消化内科/安徽省消化系统疾病重点实验室,安徽合肥 230022
临床医学
结肠息肉癌变危险因素预测模型列线图
Colonic polypsCancerationRisk factorsPrediction modelNomogram
《医学信息》 2024 (014)
19-24 / 6
安徽高校自然科学研究基金资助项目(编号:KJ2016A337)
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