An mALBI-Child–Pugh-based nomogram for predicting post-hepatectomy liver failure grade B–C in patients with huge hepatocellular carcinoma: a multi-institutional study

Abstract

Abstract Objective Post-hepatectomy liver failure (PHLF) is a severe complication in patients with hepatocellular carcinoma (HCC) who underwent hepatectomy. This study aims to develop a nomogram of PHLF grade B–C in patients with huge HCC (diameter ≥ 10 cm). Methods We retrospectively collected clinical information of 514 and 97 patients who underwent hepatectomy for huge HCC at two medical centers between 2016 and 2021. Univariate and multivariate analysis were carried out to screen the independent risk factors of PHLF grade B–C, which were visualized as a nomogram. Results Three Hundred Forty Three Thousand One Hundred Seventy One  and 97 HCC patients were included in the training cohort, internal validation cohort, and external validation cohort, with probabilities of PHLF grade B–C of 15.1%, 12.9%, and 22.7%, respectively. Pre-operative modified albumin-bilirubin (mALBI) grade (p < 0.001), Child–Pugh classification (p = 0.044), international normalized ratio (INR) (p = 0.005), cirrhosis (p = 0.019), and intraoperative blood loss (p = 0.004) were found to be independently associated with PHLF grade B–C in the training cohort. All the five independent factors were considered in the establishment of the nomogram model. In the internal validation cohort and external validation cohort, the area under receiver operating characteristic curve for the nomogram in PHLF grade B–C prediction reached 0.823 and 0.740, respectively. Divided into different risk groups according to the optimal cut-off value, patients in the high-risk group reported significantly higher frequency of PHLF grade B–C than those in the low-risk group, both in the training cohort and the validation cohort (p < 0.001). Conclusions The proposed noninvasive nomogram based on mALBI-Child–Pugh and three other indicators achieved optimal prediction performance of PHLF grade B–C in patients with huge HCC.