1. A nomogram prediction model for the risk of intra-abdominal infection after endoscopic full-thick resection of gastric submucosal tumors
- Author
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Liang Wang, Wei Huang, and Jing-jing Zhao
- Subjects
Gastric submucosal tumors ,Endoscopic full-thick resection ,Intra-abdominal infection ,Risk factors ,Nomogram model ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Background: This study aimed to investigate the risk factors for complication of intra-abdominal infection (IAI) after endoscopic full-thickness resection of gastric submucosal tumors (GSMT) and to establish a nomogram prediction model for the occurrence of IAI. Methods: Clinical data of patients with GSMT who underwent endoscopic full-thick resection (EFR) from January 2018 to July 2023 were retrospectively analyzed. The patients were divided into IAI and non-IAI groups according to whether IAI occurred during postoperative hospitalization. Univariate and multivariate logistic regression analyses were performed on the relevant clinical data of patients in the two groups to screen the independent influencing factors for the occurrence of IAI. The nomogram model was constructed based on the independent influencing factors. Model discrimination was assessed by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. The consistency of model-predicted risk with actual risk was evaluated using the Hosmer-Lemeshow goodness-of-fit test. The clinical performance of the nomogram model was evaluated using decision curve analysis. Results: A total of 240 GSMT patients who underwent EFR procedures were finally included in this study, including 14 patients (5.83 %) in the IAI group and 226 patients in the non-IAI group. Univariate and multivariate logistic regression analyses showed that age (OR = 1.283, 95 % CI = 1.029–1.600), preoperative albumin (OR = 0.575, 95 % CI = 0.395–0.837), duration of operation (OR = 1.222, 95 % CI = 1.060–1.409), and hospitalization time (OR = 4.089, 95 % CI = 1.190–14.043) were independent influencing factors for the incidence of IAI in GSMT patients undergoing EFR surgery (P
- Published
- 2024
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