An esophagectomy Surgical Apgar Score (eSAS)-based nomogram for predicting major morbidity in patients with esophageal carcinoma.

Abstract

BackgroundPerforming an esophagectomy for a malignancy presents an operation with an elevated risk of complications. The esophagectomy Surgical Apgar Score (eSAS) has been confirmed to be a strong predictor of major postoperative morbidity. The purpose of this study was to construct and establish an eSAS-based nomogram for predicting major morbidity after esophagectomy for esophageal carcinoma.MethodsA total of 194 patients underwent radical esophagectomy for the malignant disease was analyzed by internal validation, and the clinical value was calculated on external validation (n=135). The 30-day major morbidity was recorded as the outcome. Univariable and multivariable logistic regression analysis analyzed the preoperative and intraoperative variables. An eSAS-based nomogram was constructed to predict the risk of major postoperative morbidity. The verification curves for the performance were drawn.ResultsMajor morbidity occurred in 34.04% (n=66) of cases. Based on the final regression analysis, we proved that the eSAS had a highly linear association with major morbidity after esophagectomy. We further constructed a nomogram integrating the eSAS and clinical predictors [body mass index (BMI), American Society of Anesthesiologists (ASA) classification, and diabetes mellitus] to predict the probability of major postoperative morbidity. The performance of the eSAS-based nomogram was assessed and proven to be clinically useful by internal and external validation.ConclusionsWe constructed an eSAS-based nomogram that can effectively predict the risk of major morbidity after esophagectomy in patients with esophageal carcinoma. With a highly exact and exceedingly simple model, clinicians could more precisely ease the individual perioperative management for decreasing the postoperative complication.