ArticleHPB : the official journal of the International Hepato Pancreato Biliary Association2016
Value of E-PASS models for predicting postoperative morbidity and mortality in resection of perihilar cholangiocarcinoma and gallbladder carcinoma.
Article in HPB : the official journal of the International Hepato Pancreato Biliary Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Is it time to define the scope of safety for robotic resection in perihilar cholangiocarcinoma surgery? A propensity score matching based analysis of a single center experience.Annals of hepato-biliary-pancreatic surgery · 2025Article
- Modification of gemcitabine with oxaliplatin in China for unresectable gallbladder cancer: a cost-effectiveness analysis.Frontiers in public health · 2024Article
- Safety and benefits of major hepatectomy with extrahepatic bile duct resection in older perihilar cholangiocarcinoma patients.Langenbeck's archives of surgery · 2022Article
- Usefulness of the estimation of physiologic ability and surgical stress (E-PASS) system for prediction of complication and prognosis in hepatocellular carcinoma patients after hepatectomy.Translational cancer research · 2022Article
- Cumulative damage effect of jaundice may be an effective predictor of complications in patients undergoing radical resection of Bismuth type II or above hilar cholangiocarcinoma.Annals of translational medicine · 2021Article
- Assessment of postoperative complications using E-PASS and APACHE II in patients undergoing oral and maxillofacial surgery.Patient safety in surgery · 2018Article
- Observational
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Abstract
backgroundIt has previously been reported that a general risk model, Estimation of Physiologic Ability and Surgical Stress (E-PASS), and its modified version, mE-PASS, had a high predictive power for postoperative mortality and morbidity in a variety of gastrointestinal surgeries. This study evaluated their utilities in proximal biliary carcinoma resection.
methodsE-PASS variables were collected in patients undergoing resection of perihilar cholangiocarcinoma and gallbladder carcinoma in Japanese referral hospitals.
resultsAnalysis of 125 patients with gallbladder cancer and 97 patients with perihilar cholangiocarcinoma (n = 222). Fifty-six patients (25%) underwent liver resection with either hemihepatectomy or extended hemihepatectomy. The E-PASS models showed a high discrimination power to predict in-hospital mortality; areas under the receiver operating characteristic curve (95% confidence intervals) were 0.85 (0.76-0.94) for E-PASS and 0.82 (0.73-0.91) for mE-PASS. The predicted mortality rates correlated with the severity of postoperative complications (Spearman's rank correlation coefficient: ρ = 0.51, P < 0.001 for E-PASS; ρ = 0.47, P < 0.001 for mE-PASS).
conclusionsThe E-PASS models examined herein may accurately predict postoperative morbidity and mortality in proximal biliary carcinoma resection. These models will be useful for surgical decision-making, informed consent, and risk adjustments in surgical audits.
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