BALAD and BALAD-2 predict survival of hepatocellular carcinoma patients: a North American cohort study

Abstract

Background: The BALAD score and BALAD-2 class derived from bilirubin, albumin, AFP, AFP-L3, and des-gamma-carboxyprothrombin (DCP) are effective in predicting mortality in HCC, but have not been validated in North America.

Methods: 148 HCC patients from 2000 to 2015 who had all five biomarkers tested at diagnosis were included. Hazard ratios (HR) were calculated.

Results: 75 patients died during a median follow-up of 21.9 months. 1-and 3-year survival rates were 70.8% and 47.6%. 114 (77%) had cirrhosis. The HR (95%CI) for death were 1.24 (0.42-3.67), 1.79 (0.61-5.26), 2.83 (0.95-8.38), and 7.19 (2.26-22.91) for BALAD scores 1, 2, 3, and 4 vs. BALAD 0. The HR (95%CI) for death were 1.25 (0.65-2.40), 1.75 (0.94-3.23), and 6.20 (3.29-11.68) for BALAD-2 classes 2, 3, and 4 vs. BALAD-2 class 1. A multivariate model incorporating maximal tumor diameter, tumor number, neutrophil-lymphocyte ratio, and BALAD had HR of 1.43 (1.14-1.81) per increase of 1 BALAD score. A similar model with BALAD-2 had HR of 1.50 (1.18-1.90) per increase of 1 BALAD-2 class.

Conclusion: BALAD models at diagnosis can predict the survival of HCC patients in North America. AFP, AFP-L3, and DCP reflect tumor progression and metastasis of HCC and distinguish the BALAD model from other predictive models.