摘要Background:Esophagectomy remains a procedure with one of the highest complication rates.This study aimed to develop and val-idate a model of nomogram for predicting the probability serious postoperative complications for the postoperative esophageal cancer(EC)patients.Methods:An observational study was conducted at Daping Hospital,China,encompassing 529 postoperative EC patients from December 2014 to November 2023.We integrated independent prognostic factors to craft a predictive model,specifically a nomogram,designed to forecast the risk of severe postoperative complications.Results:The incidence of serious complications for postoperative EC patients was 58.1％.A total of seven variables,including age,gender,bleeding volume during the operation(P=0.035),operating time(P=0.031),the Nutritional Risk Screening 2002(NRS 2002)score(P=0.027),the perioperative nutrition screen(PONS)score(P=0.018),and cystatin C levels(P＜0.001),were applied to draw the nomogram of predicting serious complications after esophagectomy.The accuracy of predictive value for the model was quantified by Harrell's C index at 0.690(95％confidence interval=0.596-0.785,P＜0.001).Conclusion:We developed a nomogram system to demonstrate exceptional predictive capabilities for postoperative EC patients in forecasting the risk of serious complications.These results also emphasize the predictive value of the preoperative nutritional risk screen-ing with NRS 2002 and PONS in EC patients undergoing esophagectomy.