Survival prediction for patients with malignant biliary obstruction caused by pancreatic cancer undergoing biliary drainage: the COMBO-PaS model

Surg Endosc. 2023 Mar;37(3):1943-1955. doi: 10.1007/s00464-022-09698-6. Epub 2022 Oct 19.

Abstract

Background: Patients with pancreatic cancer-caused biliary obstruction (PC-BO) have poor prognosis, but we lack of tools to predict survival for clinical decision-making. This study aims to establish a model for survival prediction among patients with PC-BO.

Methods: A total of 172 patients with PC-BO treated with percutaneous biliary drainage were randomly divided into a training group (n = 120) and a validation group (n = 52). The independent risk factors for overall survival were selected to develop a Cox model. The predictive performance of M stage, hepatic metastases, cancer antigen 199, and the Cox model was determined. Naples prognostic score (NPS), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT) for 1-month mortality risk were compared with the Cox model.

Results: The Cox model was developed based on total cholesterol, direct bilirubin, hepatic metastases, cancer antigen 199, stenosis type, and preprocedural infection (all P < 0.05), which named "COMBO-PaS." The COMBO-PaS model had the highest area under the curves (AUC) (0.801-0.933) comparing with other predictors (0.506-0.740) for 1-, 3-, and 6-month survival prediction. For 1-month mortality risk prediction, the COMBO-PaS model had the highest AUC of 0.829 comparing with NPS, PNI, and CONUT.

Conclusion: The COMBO-PaS model was useful for survival prediction among patients with PC-BO.

Keywords: Biliary obstruction; Pancreatic cancer; Percutaneous biliary drainage; Prognostic prediction; Survival.

Publication types

  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cholestasis* / etiology
  • Cholestasis* / surgery
  • Drainage / adverse effects
  • Humans
  • Liver Neoplasms* / complications
  • Pancreatic Neoplasms* / complications
  • Prognosis
  • Retrospective Studies