结直肠进展期腺瘤内镜下切除后复发的危险因素分析
孙海兵 , 陈敏 , 费梦雪 , 董致远 , 王华
河北医科大学学报 ›› 2026, Vol. 47 ›› Issue (9) : 1012 -1018.
结直肠进展期腺瘤内镜下切除后复发的危险因素分析
Risk factors for recurrence after endoscopic resection of advanced colorectal adenoma
目的 分析结直肠进展期腺瘤(advanced colorectal adenoma,ACA)内镜下切除后复发的相关影响因素。 方法 回顾性分析2021年3月—2024年10月于安徽省合肥市第二人民医院行内镜下切除治疗的ACA患者149例,依据随访结肠镜检查结果将患者分为复发组(67例)和未复发组(82例)。采用单因素和多因素分析ACA内镜下切除后复发的相关因素,并构建列线图预测模型通过校准曲线、受试者工作特征(receiver operating characteristic,ROC)曲线进行内部验证,采用临床决策曲线评估模型临床实用性。 结果 复发组男性比例、年龄、ACA直径、ACA数量、波士顿肠道准备评分量表(Boston bowel preparation scale,BBPS)评分<6分比例均大于未复发组(P<0.05)。多因素Logistic回归结果显示,年龄大(OR=1.050,95%CI:1.005~1.097)、ACA直径大(OR=1.359,95%CI:1.169~1.580)及BBPS评分<6分(OR=3.324,95%CI:1.425~7.755)是ACA患者内镜下切除后复发的独立危险因素(P<0.05)。基于多因素Logistic回归分析结果构建列线图模型预测ACA患者内镜下切除后复发的曲线下面积(area under the curve,AUC)值为0.804(95% CI:0.731~0.864),敏感度为73.13%,特异度为76.83%,Hosmer-Lemeshow拟合优度检验显示模型拟合良好(χ2=4.709,P=0.788),校准曲线显示模型校准度良好,临床决策曲线显示,当阈值概率在0.04~0.99时模型能产生更好的临床效益。 结论 年龄大、ACA直径大、BBPS评分<6分是ACA内镜下切除后复发的独立影响因素,基于上述因素构建的列线图预测模型具有良好的预测价值,有助于筛选内镜切除术后复发高风险人群,可为实施个体化、精准化的随访监测策略提供参考。
Objective To analyze the influencing factors of recurrence after endoscopic resection of advanced colorectal adenoma (ACA). Methods A retrospective analysis was conducted on 149 patients with ACA who underwent endoscopic resection at the Second People's Hospital of Hefei City, Anhui Province, from March 2021 to October 2024. Based on follow-up colonoscopy findings, patients were divided into recurrence group (n=67) and non-recurrence group (n=82). Univariate and multivariate analyses were used to identify factors related to recurrence after endoscopic resection of ACA. A nomogram prediction model was constructed and internally validated using the calibration curve and the receiver operating characteristic (ROC) curve. Clinical decision curve was employed to evaluate clinical utility of the model. Results The recurrence group showed increases in the proportion of males, age, ACA diameter, number of ACA, and the proportion of Boston bowel preparation scale (BBPS) scores <6, as compared with the non-recurrence group (P<0.05). Multivariate Logistic regression analysis results showed that old age (OR=1.050, 95%CI: 1.005―1.097), large ACA diameter (OR=1.359, 95%CI: 1.169―1.580), and BBPS score <6 (OR=3.324, 95%CI: 1.425―7.755) were independent risk factors for recurrence after endoscopic resection of ACA (P<0.05). The area under the curve (AUC), sensitivity and specificity of the nomogram model constructed based on multivariate logistic regression analysis results for predicting recurrence after endoscopic resection of ACA were 0.804 (95%CI: 0.731―0.864), 73.13% and 76.83%, respectively. Hosmer-Lemeshow goodness-of-fit test indicated that the model had good fit (χ2=4.709, P=0.788). The calibration curve demonstrated good model calibration, and the clinical decision curve showed that the model provided better clinical net benefit when the threshold probability was between 0.04 and 0.99. Conclusion Old age, large ACA diameter, and BBPS score <6 are independent influencing factors for recurrence after endoscopic resection of ACA. The nomogram prediction model constructed based on above indictors exhibits good predictive value. It can help screen high-risk group for recurrence after endoscopic resection and provide reference for implementing individualized and precise follow-up strategies.
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安徽省卫生健康科研项目(2024Aa30075)
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