Noninvasive models to predict liver cirrhosis inpatients with chronic hepatitis B

Objectives: Few noninvasive models of chronic hepatitis B (CHB) to predict liver cirrhosis have been studied. The aim of the current study is to investigate the diagnostic accuracy of two simple novel models of spleen-platelet ratio index (SPRI) and age-spleen-platelet ratio index (ASPRI) in patients with CHB. Patients and methods: A total of 346 consecutive treatment-naive patients with CHB were retrospectively studied. The aspartate to alanine aminotransferase ratio (AAR), age-platelet index (API), aspartate aminotransferase to platelet ratio index (APRI), SPRI, and ASPRI were compared with liver histology. Results: AAR, APRI, SPRI, API, and ASPRI correlated significantly to fibrosis stage (all P < 0.001). The diagnostic accuracy of ASPRI was the highest among five tests for prediction of cirrhosis (area under receiver operating characteristic curve, AUROC = 0.893). Using a cutoff score of ASPRI > 12, the presence of cirrhosis could be correctly identified with a high accuracy (96.3% positive predictive value) in 35 (10.1%) of 346 patients. Similarly, using a cutoff of < 5, the presence of cirrhosis could be totally excluded with 100% of negative predictive value in 120 (34.7%) of 346 patients. Conclusion: ASPRI was accurate in predicting cirrhosis and screening with ASPRI has the potential to reduce the number of liver biopsies in CHB patients.