Controlling nutritional status (CONUT) score-based nomogram to predict overall survival of patients with HBV-associated hepatocellular carcinoma after curative hepatectomy

Purpose: As a novel immune-nutritional biomarker, the controlling nutritional status (CONUT) score has been reported to predict outcomes in cancer patients. We aimed to elucidate the prognostic value of preoperative CONUT score and construct a CONUT score-based nomogram to predict individual survival of patients with hepatitis B viral (HBV)-associated hepatocellular carcinoma (HCC) after curative hepatectomy.
Methods: Preoperative CONUT score was retrospectively calculated in 380 HBV-associated HCC patients undergoing radical resection between 2006 and 2012. Patients were assigned to two groups: CONUT-low ( < 2) and CONUT-high ( ≥ 2), according to the optimal cut-off value determined using receiver operating characteristic analysis. Associations of CONUT score with oncological outcomes were evaluated. The Cox proportional hazard model was used to identify predictors of survival and a new nomogram was developed based on the independent prognostic factors for overall survival (OS).
Results: The CONUT score exhibited a higher area under the curve value than the other immune-nutritional parameters. The CONUT-high group had significant poorer OS and recurrence-free survival compared with CONUT-low group (P < 0.001 and P = 0.016, respectively). Multivariate analyses identified CONUT score, liver cirrhosis, tumor size and differentiation as independent prognostic factors for OS. And the nomogram based on these four variables had superior discriminative ability to predict survival compared with other conventional staging systems.
Conclusions: Preoperative CONUT score is an effective independent predictor of OS in patients with resected HBV-related HCC. This novel nomogram based on CONUT may provide accurate and individualized survival prediction for HCC patients undergoing surgical resection.