2026-10-11T21:19:22Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33654614 2026-09-12T08:58:05Z category_7 category_8 category_21 category_46 category_106 portal_87 item_type_3 month_year_09_2026

Development and internal validation of a prediction model for early anastomotic leak after minimally invasive esophagectomy: a prospective cohort study Zhi-Bo Feng (22334740) Xuan-Feng Ren (24824897) Meng-Hua Xue (24824900) Pei-Long Bao (24824903) He Xu (147776) Fan Gao (130617) Yao Ma (320034) Jin-Bo Zhao (783147) Yu-Quan Bai (24824906) Medicine Microbiology Biotechnology Immunology Science Policy Esophageal cancer early postoperative endoscopy anastomotic leak gastric conduit ischemic length postoperative serum albumin <p> Anastomotic leak (AL) remains a complication after minimally invasive esophagectomy (MIE), affecting 10–20% of patients and increasing morbidity and mortality. Although local conduit perfusion and systemic nutritional status are central to anastomotic healing, no validated bedside tool integrates quantitative early endoscopic findings with systemic indicators to predict postoperative AL.</p> <p>This prospective single-center cohort study enrolled 583 patients who underwent MIE at Tangdu Hospital. Standardized endoscopy within 72 h quantified gastric conduit ischemic length, and postoperative serum albumin was measured. Multivariable logistic regression and receiver operating characteristic (ROC) analysis identified independent predictors and optimal cutoffs to develop a risk-stratification system. A Lasso-regularized logistic regression (Lasso LR) model was developed and internally validated (7:3 split), with performance assessed by area under the curve (AUC), calibration curves, and decision curve analysis. Associations with ECCG-defined AL severity were also assessed.</p> <p>Gastric conduit ischemic length ≥3.5 cm (OR 3.361, <i>p</i> = 0.043) and postoperative serum albumin <31.75 g/L (OR 0.886, <i>p</i> < 0.001) were independent predictors. The Lasso LR model achieved an internal validation AUC of 0.727 (95% CI: 0.641–0.810). The risk-stratification system yielded AL rates of 11.00%, 22.73%, and 73.68% across low-, medium-, and high-risk groups (<i>p</i> < 0.001). Both predictors correlated with ECCG severity. A nomogram and web-based calculators were developed for bedside use.</p> <p>Quantitative gastric conduit ischemic length and postoperative serum albumin enabled individualized AL risk assessment within 72 h after MIE. By integrating local perfusion and systemic healing capacity, the model and digital tools provide a framework for early targeted postoperative management.</p> <p>Chinese Clinical Trial Registry, ChiCTR2100054550. Registered December 19, 2021, <a target="_blank" href="https://www.chictr.org.cn/">https://www.chictr.org.cn/</a>.</p> 2026-09-12T08:58:05Z Dataset Dataset 10.6084/m9.figshare.33654614.v1 https://figshare.com/articles/dataset/Development_and_internal_validation_of_a_prediction_model_for_early_anastomotic_leak_after_minimally_invasive_esophagectomy_a_prospective_cohort_study/33654614 CC BY 4.0