〔Abstract〕 Objective To establish a Nomogram clinical predictive model of liver failure(PHLF) after hepatectomy for hepatocellular carcinoma(HCC) based on ICG-R15. Methods Clinical data of 219 patients with hepatocellular carcinoma who underwent radical hepatectomy in the second affiliated Hospital of Anhui Medical University from February 2017 to March 2022 were analyzed retrospectively. The influencing factors of PHLF were screened by Logistics regression and the Nomogram model for predicting the occurrence of PHLF was established. Compared with the traditional model, its predictive efficiency was tested. Results In this study, ICG-R15(OR=1.07, P<0.05), PLT(OR=0.99, P<0.05), INR(OR=1.50, P<0.05), HBV-DNA>1000IU(OR=2.26, P<0.05), AFP>400ng/L(OR=2.60, P<0.05) and open surgery(OR=0.26, P<0.05) were the influencing factors of PHLF. A Nomogram prediction model was established based on these factors, and through ROC and DCA analysis, it was found that the prediction efficiency and clinical value of this model were better than those of the traditional model. Conclusion The Nomogram clinical predictive model of hepatocellular carcinoma(HCC) PHLF is successfully established based on ICG-R15.