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ABSTRACT: Objective
We sought to evaluate the performance of two commonly used prediction models for postoperative morbidity in patients undergoing open and minimally invasive esophagectomy.Summary background data
Patients undergoing esophagectomy have a high risk of postoperative complications. Accurate risk assessment in this cohort is important for informed decision-making.Methods
We identified patients who underwent esophagectomy between January 2016 and June 2018 from our prospectively maintained database. Predicted morbidity was calculated using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) Surgical Risk Calculator (SRC) and a 5-factor NSQIP-derived frailty index. Performance was evaluated using concordance index (C-index) and ca
SUBMITTER: Gray KD
PROVIDER: S-EPMC8211904 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature