Preoperative and Postoperatibe Calculators to Predict Post-hepatectomy Liver Failure
for Patients With Hepatocellular Carcinoma

This prediction tool also known as nomogram is based on data from liver resection for HCC study project participated by several major medical centers in China. The model incorporated seven parameters including albumin-bilirubin grade (ALBI), aspartate transaminase to platelet index (APRI), cirrhosis, portal hypertension, and largest tumor size so as to predict the risk of PHLF after liver resection for HCC. Patients with high-risk of PHLF should receive more intensive postoperative surveillance. In this way, this prediction model could facilitate individualized decision making, and further reduce the incidence of PHLF.

The model was originated from clinical data of 767 patients who underwent liver resection for HCC from January 2013 to December 2016 at 7 Chinese hospitals.

Please note that the present model did not specify a specific threshold at which adjuvant therapy should be recommended. We believe that the final decision should be made after thoughtful discussion between clinician and patient according actual situation.