临床普外科电子杂志 ›› 2025, Vol. 13 ›› Issue (2): 2-.

• •    下一篇

大肠腺瘤性息肉经内镜下黏膜切除术后出血风险的列线图预测模型的构建

  

  1. 1. 佛山市南海区第九人民医院 消化内科,广东 佛山 528203;2. 佛山市南海区第九人民医院 内三科,广东 佛山 528203
  • 出版日期:2025-04-01 发布日期:2025-08-07
  • 基金资助:

    2023 年度佛山市卫生健康局医学科研课题(20230268)

Construction of a nomogram prediction model for bleeding risk of colorectal adenomatous polyps after endoscopic mucosal resection

  1. 1.Digestive System Department of The Ninth People's Hospital of Nanhai District in Foshan, Guangdong Foshan 528203, China; 2.Internal Three Department of The Ninth People's Hospital of Nanhai District in Foshan, Guangdong Foshan 528203, China
  • Online:2025-04-01 Published:2025-08-07

摘要:

目的 分析大肠腺瘤性息肉经内镜下黏膜切除术(endoscopic mucosal resection,EMR)后出血的危险因素,并构建大肠腺瘤性息肉术后出血的列线图模型。方法 选择 2023 年 1 月至 12 月佛山市南海区第九人民医院收治的 300 例行 EMR 治疗的大肠腺瘤性息肉患者为建模组,另于 2024 年 1 月至 6 月收治的 150 例行 EMR 治疗的大肠腺瘤性息肉患者为验证组,根据建模组患者术后是否发生出血将其分为出血组和非出血组。采用 Logistic 回归分析筛选大肠腺瘤性息肉术后出血的危险因素,采用 R 语言建立预测大肠腺瘤性息肉术后出血的列线图模型,最后评价模型拟合度和预测效能。结果 300 例患者中有 31 例患者发生了出血,出血发生率为 10.33%;建模组出血和未出血组患者吸烟史、饮酒史、合并症、文化程度、居住地、婚姻状态、体质量指数、息肉部位、切除息肉个数、是否有蒂、是否光滑等临床资料对比无显著差异(P > 0.05),而年龄、性别、息肉大小、是否分叶等临床资料对比有显著差异(P < 0.05);Logistic 回归分析结果显示,年龄、性别、息肉大小、是否分叶等均是大肠腺瘤性息肉 EMR 术后出血的危险因素(P

< 0.05);模型一致性指数(C-index)为 0.851(95%CI:0.818 ~ 0.884);H-L 检验显示,模型拟合度良好(χ2=5.365,P=0.305);受试者操作特征曲线结果显示,大肠腺瘤性息肉 EMR 术后出血的列线图模型的曲线下面积值为 0.825;校正曲线预测值和实际值较为接近;当预测阈值概率为 6% ~ 87% 时,列线图预测大肠腺瘤性息肉 EMR 术后出血的净获益值较高。结论 本研究构建的大肠腺瘤性息肉经 EMR 术后出血风险的列线图有利于临床早期识别术后出血高危群体,同时本研究构建的列线图风险预测模型对医务人员制定术后出血防治方案具有指导意义。

关键词: 大肠腺瘤性息肉, 内镜下黏膜切除术, 出血, 列线图

Abstract:

Objective To analyze the risk factors of hemorrhage after endoscopic mucosal resection (EMR) for adenomatous polyps of the large intestine, and to construct a nomogram model of postoperative hemorrhage for adenomatous polyps of the large intestine. Method A total of 300 patients with colorectal adenomatous polyps treated with EMR from January to December 2023 were selected as the modeling group, and 150 patients with colorectal adenomatous polyps treated with EMR from January to June 2024 were selected as the verification group. The patients in the modeling group were divided into bleeding group and non-bleeding group according to whether they experienced postoperative bleeding. Logistic regression analysis was used to screen the risk factors of postoperative bleeding for adenomatous polyps of the large intestine, and R language was used to establish a nomogram model for predicting postoperative bleeding for adenomatous polyps of the large intestine, and finally the model fit and prediction efficiency were evaluated. Result Among the 300 patients, 31 patients had hemorrhage, the incidence of hemorrhage was 10.33%. Clinical data such as smoking history, drinking history, comorbidities, educational level, place of residence, marital status, body mass index, polyp site, number of removed polyps, whether there were tilts and whether there were smooth polyps were compared between the bleeding group and the non-bleeding group , have no significant difference(P > 0.05), while clinical data such as age, sex, polyp size, and whether there were lobed polyps were compared, have a significant difference(P < 0.05). Logistic regression analysis showed that age, sex, polyp size and lobulation were all risk factors for hemorrhage after EMR operation(P < 0.05). The model consistency index (C-index) was 0.851 (95%CI: 0.818-0.884). H-L test showed that the model fit well (χ2=5.365, P=0.305). Receiver operator characteristic curve results showed that the area under the curve value of the nomogram model of hemorrhage after EMR was 0.825. The predicted value of correction curve is close to the actual value. When the prediction threshold probability ranged from 6% to 87%, the net benefit value of nomogram in predicting bleeding after EMR for colorectal adenomatous polyps was higher. Conclusion The nomogram of bleeding risk after endoscopic mucosal resection of adenomatous polyps in the large intestine established in this study is conducive to early clinical identification of high-risk groups for postoperative bleeding, and the nomogram risk prediction model established in this study has guiding significance for medical personnel to make postoperative bleeding prevention and treatment plans.

Key words: Colorectal adenomatous polyp, Endoscopic mucosal resection, Bleeding, Nomograph