Analysis of risk factors for anastomotic leakage after radical esophagectomy for esophageal squamous cell carcinoma
Qing Hu, Lu Sun, Shijie Xu, Weidong Hong, Liangcheng Tang, Feng Li, Yougui Wang

TL;DR
This study identifies risk factors for anastomotic leakage after esophagectomy for esophageal cancer and creates a prediction model to help clinicians assess risk.
Contribution
The study introduces a novel nomogram model and a mechanistic hypothesis for cervical anastomotic leakage.
Findings
Age, anastomotic location, postoperative RBC count, and NLR are independent risk factors for anastomotic leakage.
A nomogram model with an AUC of 0.870 was developed to predict AL risk.
Cervical anastomotic leakage is linked to anastomotic tension and impaired perfusion.
Abstract
Anastomotic leakage (AL) is one of the most common complications of radical surgery for esophageal cancer. This study aimed to analyze the risk factors for AL after radical esophagectomy for esophageal squamous cell carcinoma (ESCC) and construct a nomogram prediction model. We retrospectively analyzed the clinical data of all patients who underwent radical esophagectomy between 2018 and 2023. Univariate and multivariable logistic regression analyses were used to identify the risk factors for AL. After screening the relevant variables, a prediction model for AL risk was established, and the predictive accuracy and clinical utility of the model were verified. A total of 107 patients with ESCC were included and the incidence of AL was 21.5% (23/107). In multivariate logistic regression analysis, age (OR 1.131, 95% CI 1.014–1.261, p = 0.027), anastomotic location (OR 5.747, 95% CI…
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Taxonomy
TopicsEsophageal Cancer Research and Treatment · Esophageal and GI Pathology · Cardiac, Anesthesia and Surgical Outcomes
