Analysis of related factors of electrocoagulation syndrome after esophageal tumor endoscopic submucosal dissection
10.3760/cma.j.cn371439-20240727-00103
- VernacularTitle: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
- Author:
Chao XIE
1
;
Mingxin ZHANG
;
Ning LU
;
Tao MIAO
Author Information
1. 陕西省渭南市华州区人民医院消化内科，渭南 714100
- Keywords:
Esophageal neoplasms;
Endoscopic mucosal resection;
Post-endoscopic submucosal dissection electrocoagulation syndrome
- From:
Journal of International Oncology
2024;51(10):614-619
- CountryChina
- Language:Chinese
-
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.
