Noninvasive Methods for Detecting Advanced Liver Fibrosis and Cirrhosis in Patients with Chronic Hepatitis B: A Single-Center Retrospective Study.

BACKGROUND AND AIMS

The performance of noninvasive assessments to rule-in or rule-out fibrosis may improve when combined. We aimed to evaluate the efficiencies of sequential algorithms based on the aspartate aminotransferase-to-platelet ratio index (APRI), the fibrosis index based on four factors (FIB-4), and transient elastography (TE) for the assessment of advanced fibrosis (AF) and cirrhosis.

METHODS

This study enrolled 179 CHB subjects who underwent liver biopsy (LB) before antiviral treatment.

RESULTS

AF and cirrhosis were identified in 71 (39.7%) and 28 (15.7%) patients, respectively. Compared with TE alone, sequential FIB-4-TE and APRI-TE algorithms saved a slightly higher number of liver biopsies for the identification of advanced fibrosis (69.3% or 68.2% vs 63.7%, P=0.263 or P=0.372, respectively). For the identification of cirrhosis, sequential FIB-4-TE and APRI-TE algorithms saved a significantly higher number of liver biopsies than TE alone (83.2% or 88.3% vs 69.8%, P=0.003 or P=0.000, respectively). No significant difference was found between the sequential algorithms and TE alone in the diagnostic accuracy for the detection of AF and cirrhosis.

CONCLUSION

The sequential algorithms could significantly reduce the need for liver biopsy with high accuracy for diagnosis of AF and cirrhosis in CHB patients, which would be optimal especially in resource-limited areas.