Preoperative and Postoperatibe Calculators to Predict Morbidity after Liver Resection for Hepatocellular Carcinoma (HCC)

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, largest tumor size intraoperative transfusion and major hepatectomy so as to predict the risk of morbidity after liver resection for HCC. Patients with high-risk of morbidity should receive more intensive postoperative surveillance. In this way, this prediction model could facilitate individualized decision making, and further reduce the incidence of morbidity. The model was originated from clinical data of 2301 patients.

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.