An Improved Scoring System Based on Platelet-Albumin-Bilirubin in Predicting Posthepatectomy Liver Failure Outcomes

Background: Posthepatectomy liver failure (PHLF) is one of the major complications of liver resection that causes perioperative mortality. Accurate preoperative assessment of PHLF is of great significance to reduce the complication rate after hepatectomy and improve the survival rate. Methods: A retrospective study of patients who received hepatectomy from January 2016 to October 2019 at Tang Du Hospital was performed. The area under the receiver operating characteristic (ROC) curve was used to compare the predictive effects of various scoring models on PHLF. Results: The area under the ROC curve of platelet-albumin-bilirubin (PALBI) score, new platelet-albumin-bilirubin (I-PALBI) score, ALBI score, and MELD score was, respectively, 0.647, 0.772, 0.677, and 0.686 (p < 0.01). The I-PALBI score was significantly better than the other scores. Conclusions: I-PALBI score can be used as a predictive score of PHLF, and its prediction accuracy is better than other scoring systems.

Automated summary

Through a retrospective study of patients undergoing hepatectomy, the I-PALBI score was found to be the most effective predictive model for PHLF, with improved prediction accuracy compared to other scoring systems.