Preoperative Predictive Nomogram Based on Alanine Aminotransferase, Prothrombin Time Activity, and Remnant Liver Proportion (APART Score) to Predict Post-Hepatectomy Liver Failure after Major Hepatectomy

Abstract

Introduction: Post-hepatectomy liver failure (PHLF) is a serious complication associated with major hepatectomies. An accurate prediction of PHLF is necessary to determine the feasibility of major hepatectomy. This study aimed to assess the association between PHLF and preoperative laboratory and computed tomography (CT) findings. Methods: Medical records of 65 patients who underwent major hepatectomy and preoperative CT were retrospectively reviewed. We evaluated future remnant liver volume evaluation models and remnant liver hemodynamics, which were assessed by arterial enhancement fraction (AEF) by using preoperative CT. Variables, including CT findings, were compared between patients with and without PHLF after major hepatectomy, and the preoperative PHLF-predicting nomogram was constructed using multivariate logistic regression. Results: The PHLF group included 21 patients (32.3%). The AEF was not significantly different between the two groups. In the future remnant liver volume evaluation models, future remnant liver proportion (fRLP) had the highest concordance index (C-index) in the receiver operating characteristic curve analysis (C-index, 0.755). Multivariate analysis of preoperative evaluable factors revealed that alanine aminotransferase levels (p = 0.034), prothrombin time activity (p = 0.021), and fRLP (p = 0.012) were independent predictive factors of PHLF. A nomogram (APART score) was constructed using these three factors, with a receiver operating curve showing a C-index of 0.894. According to the APART score, scores of 51–60 indicated moderate risk (40.0%), and scores over 60 indicated a high risk of PHLF (83.3%) (p < 0.001). Discussion: The APART score may help predict PHLF in patients indicated for major hepatectomies.