A new nomogram predicts post-hepatectomy liver failure (PHLF) for hepatocellular carcinoma, improving patient outcomes.

• Analyzed 654 patients, identifying 55 PHLF cases linked to seven key predictors: liver cirrhosis, total bilirubin, prothrombin time, albumin-bilirubin, fibrosis-4 index, ascites, and intraoperative blood loss.
• Nomogram achieved an AUC of 0.880 for training and 0.879 for validation, indicating strong predictive accuracy.

Surgeons can now select patients with higher precision, reducing the risk of severe complications post-surgery.