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© 2019 Kuo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background

Aspartate transaminase-platelet ratio index (APRI) and fibrosis 4 (FIB-4) are two non-invasive indexes to predict liver fibrosis in liver disease. This study was to use APRI and FIB-4 to detect chronic virus hepatitis in community screenings.

Methods

From 2004 to 2013, a series of community-based health screenings for residents aged 40 and older were held in Tainan city. APRI and FIB-4 of each participant were calculated and their association further analyzed with hepatitis status.

Results

We enrolled 180359 participants including 18726 (10.4%) hepatitis B virus (HBV), 13428 (7.4%) hepatitis C virus (HCV), 1337 (0.7%) HBV plus HCV and 146868 (81.5%) Non-HBV Non-HCV. The prevalence of chronic HCV increased with the elevation of APRI cut-offs or FIB-4 cut-offs (13.9%, 28.1%, 38.8%, 45.2%, to 49.9% in APRI≥0.3, 0.5, 0.7, 0.9,1.1, p<0.001 for the linear trend; or 15.8%, 26.4%, 34.4% to 39.7% in FIB-4≥1.75, 2.75, 3.5, 4.25, p<0.001). At the township level, APRI≥ 0.7 and FIB-4≥ 3.5 were highly correlated with HCV infection (r = 0.95, p<0.001 in APRI and r = 0.809, p<0.001 in FIB-4) and hepatocellular carcinoma (HCC) development (r = 0.894, p<0.001 in APRI and r = 0.804, p<0.001 in FIB-4), but not correlated with HBV infection.

Conclusions

Community screenings derived APRI or FIB-4 can identify patient subsets with increased of underlying HCV infection and risk of incident HCC.

Details

Title
Using AST-platelet ratio index and fibrosis 4 index for detecting chronic hepatitis C in a large-scale community screening
Author
Yuan-Hung, Kuo; Kwong-Ming, Kee; Hsu, Nien-Tzu; Wang, Jing-Houng; Chang-Chun, Hsiao; Chen, Yi; Sheng-Nan, Lu
First page
e0222196
Section
Research Article
Publication year
2019
Publication date
Oct 2019
Publisher
Public Library of Science
e-ISSN
19326203
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2307723027
Copyright
© 2019 Kuo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.