ArticleAnnals of medicine2026
Development and internal validation of a prediction model for early anastomotic leak after minimally invasive esophagectomy: a prospective cohort study.
Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAnastomotic 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.
methodsThis 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.
resultsGastric conduit ischemic length ≥3.5 cm (OR 3.361,
conclusionQuantitative 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.
trial registrationChinese Clinical Trial Registry, ChiCTR2100054550. Registered December 19, 2021, https://www.chictr.org.cn/.
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