부산대학교 도서관

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. Keywords: noninvasive assessments, advanced liver fibrosis, cirrhosis, chronic hepatitis B
Introduction HBV infection is a public health problem worldwide. Approximately 240 million people are estimated to have persistent HBV infection, and this situation is especially serious in the Asia-Pacific region. [...]