Abstract
EMAIL: zhangchengwuzr@hotmail.com; Prof. Tian Yang, MD. Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200438, China. Email: yangtiandfgd@hotmail.com. BACKGROUND: Identifying patients at high risks of developing postoperative morbidity is important to improve perioperative outcomes. We sought to define the accuracy of two objective and non-invasive serological-based scores, i.e., albumin-bilirubin (ALBI) and aspartate transaminase-to-platelet ratio index (APRI), to predict postoperative morbidity among patients undergoing hepatectomy for hepatocellular carcinoma (HCC), and build up a personalized predictive tool for clinical practice. METHODS: Clinical data of patients who underwent hepatectomy for HCC at 8 hospitals from a multicenter database were retrospectively analyzed. The predictive accuracy of ALBI and APRI relative to 30-day overall and major morbidity were evaluated using area under the receiver operating characteristic curves (AUC). Based on multivariable logistic regression analyses, preoperative and postoperative nomogram models and consequent online calculators were constructed to predict overall and major morbidity, respectively. RESULTS: Among 2,301 patients, 725 (31.5%) experienced postoperative complications (major morbidity, 35.9%, 260/725). Multivariable analyses identified high ALBI grade (>-2.6) and APRI grade (>1.5) as independent risk factors associated with overall and major morbidity in both preoperative and postoperative prediction models. Two nomogram predictive models and corresponding online calculators that combined ALBI and APRI were subsequently constructed. The AUCs of the preoperative and postoperative models were 0.728 and 0.742 to predict overall morbidity, and 0.739 and 0.713 to predict major morbidity, respectively, which were much higher than those of Child-Pugh score and the model for end-stage liver disease (MELD). Using the bootstrap validation method, the resulting models were internally validated well. CONCLUSIONS: Preoperative ALBI and APRI scores can predict postoperative morbidity following hepatectomy for HCC. An easy-to-use online calculator that combined ALBI and APRI was proposed for individually predicting the probabilities of postoperative overall and major morbidity before and immediately after surgery, so as to provide useful information to inform conversations about surgical risks.