国际肿瘤学杂志 ›› 2024, Vol. 51 ›› Issue (10): 614-619.doi: 10.3760/cma.j.cn371439-20240727-00103

• 论著 • 上一篇    下一篇

影响食管肿瘤内镜黏膜下剥离术后电凝综合征发生的相关因素分析

谢超1, 张明鑫2, 路宁2, 苗涛3()   

  1. 1陕西省渭南市华州区人民医院消化内科,渭南 714100
    2西安医学院第一附属医院消化内科,西安 710077
    3陕西省城固县医院消化内科,城固 723200
  • 收稿日期:2024-07-27 修回日期:2024-09-19 出版日期:2024-10-08 发布日期:2024-12-04
  • 通讯作者: 苗涛 E-mail:huzai197406@qq.com
  • 基金资助:
    陕西省重点研发计划(2021SF-129)

Analysis of related factors of electrocoagulation syndrome after esophageal tumor endoscopic submucosal dissection

Xie Chao1, Zhang Mingxin2, Lu Ning2, Miao Tao3()   

  1. 1Department of Gastroenterology, Huazhou District of Weinan City People's Hospital of Shaanxi Province, Weinan 714100, China
    2Department of Gastroenterology, First Affiliated Hospital of Xi'an Medical University, Xi'an 710077, China
    3Department of Gastroenterology, Chenggu County Hospital of Shaanxi Province, Chenggu 723200, China
  • Received:2024-07-27 Revised:2024-09-19 Online:2024-10-08 Published:2024-12-04
  • Contact: Miao Tao E-mail:huzai197406@qq.com
  • Supported by:
    Key Research and Development Program of Shaanxi Province(2021SF-129)

摘要:

目的 分析食管肿瘤内镜黏膜下剥离术(ESD)后电凝综合征(PEECS)发生的影响因素,基于此构建列线图预测模型并进行验证。方法 选取2018年10月至2024年5月于西安医学院第一附属医院、陕西省渭南市华州区人民医院和陕西省城固县医院收集的240例行食管肿瘤ESD的患者作为研究对象,采用R软件中“caret”包的“createDataPartition”按照7:3的比例将患者分为建模组和验证组,采用单因素及多因素logistic回归分析建模组食管肿瘤PEECS发生的相关因素并构建列线图预测模型,采用一致性指数(C-index)和校正曲线对预测模型进行验证。结果 建模组(n=168)和验证组(n=72)所有资料均具有可比性。单因素分析显示,性别(OR=2.15,95%CI为1.38~3.76,P=0.004)、年龄(OR=2.53,95%CI为1.39~4.61,P=0.001)、手术时间(OR=5.88,95%CI为2.15~8.41,P<0.001)和病变长径(OR=5.16,95%CI为1.85~7.33,P<0.001)均是食管肿瘤PEECS发生的影响因素。多因素分析显示,性别(OR=2.94,95%CI为1.46~5.33,P=0.011)、年龄(OR=2.12,95%CI为1.20~3.88,P=0.042)、手术时间(OR=4.62,95%CI为2.11~7.26,P<0.001)和病变长径(OR=3.93,95%CI为1.78~5.94,P=0.003)均是食管肿瘤PEECS发生的独立影响因素。基于上述指标构建食管肿瘤发生PEECS的列线图预测模型,其C-index值为0.787(95%CI为0.692~0.863)。校准曲线显示,建模组作为内部验证,验证组作为外部验证,预测概率与实际发生概率均具有较好的一致性。结论 性别、年龄、手术时间和病变长径均是食管肿瘤PEECS发生的独立影响因素,基于上述指标构建的列线图预测模型具有较高的预测效能。

关键词: 食管肿瘤, 内窥镜黏膜切除术, 内镜黏膜下剥离术后电凝综合征

Abstract:

Objective To analyze the factors related to the occurrence of electrocoagulation syndrome after esophageal tumor endoscopic submucosal dissection (ESD), thus to construct and validate a nomogram prediction model. Methods A total of 240 patients who underwent esophageal tumor ESD in the First Affiliated Hospital of Xi'an Medical University, Huazhou District of Weinan City People's Hospital of Shaanxi Province, and Chenggu County Hospital of Shaanxi Province from October 2018 to May 2024 were selected as the study objects. The patients were divided into a modeling group and a validation group using the "createDataPartition" of caret package in R software at a ratio of 7:3. Univariate and multivariate logistic regression were used to analyze the factors related to the occurrence of esophageal tumor post-endoscopic submusocal dissection electrocoagulation syndrome (PEECS) in the modeling group, and the nomogram prediction model was constructed. C-index and calibration curve were used to verify the prediction model. Results All data in the modeling group (n=168) and the validation group (n=72) were comparable. Univariate analysis showed that gender (OR=2.15, 95%CI: 1.38-3.76, P=0.004), age (OR=2.53, 95%CI: 1.39-4.61, P=0.001), surgical time (OR=5.88, 95%CI: 2.15-8.41, P<0.001) and lesion length (OR=5.16, 95%CI: 1.85-7.33, P<0.001) were related factors influencing the occurrence of esophageal tumor PEECS. Multivariate analysis showed that gender (OR=2.94, 95%CI: 1.46-5.33, P=0.011), age (OR=2.12, 95%CI: 1.20-3.88, P=0.042), surgical time (OR=4.62, 95%CI: 2.11-7.26, P<0.001) and lesion length (OR=3.93, 95%CI: 1.78-5.94, P=0.003) were independent factors for the occurrence of esophageal tumor PEECS. Based on the above indexes, a nomogram prediction model for the occurrence of esophageal tumor PEECS was constructed, and its C-index value was 0.787 (95%CI: 0.692-0.863). The calibration curve showed that with the modeling group as the internal verification and the validation group as the external verification, the predicted probability was in good agreement with the actual probability. Conclusion Gender, age, surgical time and lesion length are independent factors influencing the occurrence of esophageal tumor PEECS. The nomogram prediction model based on the above indexes has high predictive efficacy.

Key words: Esophageal neoplasms, Endoscopic mucosal resection, Post-endoscopic submucosal dissection electrocoagulation syndrome