Combining E-PASS model and disease specific risk factors to predict severe morbidity after liver and bile duct resection for perihilar cholangiocarcinoma

2020 
Abstract Background Estimation of physiologic ability and surgical stress system (E-PASS) has been shown to be effective in predicting morbidity after surgery for perihilar cholangiocarcinoma (PHCC). Nevertheless, E-PASS does not include an assessment of the disease specific risk factors. The aim of the study was to estimate the combined impact of E-PASS and specific preoperative factors on major morbidity for PHCC patients. Methods A retrospective analysis of a prospectively collected data was performed. Severe morbidity according to complication comprehensive index was defined as ≥40 points. A value of comprehensive risk score (CRS) ≥1 was taken as critical. Results Multivariate analysis of perioperative data from 122 patients revealed significant impact of five factors (CRS ≥1, future liver remnant volume Conclusion A combination of E-PASS with disease specific risk factors is a reliable predictive model for major morbidity for patients undergoing radical surgery for PHCC.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    16
    References
    2
    Citations
    NaN
    KQI
    []