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Prediction of significant fibrosis in chronic hepatitis C patients with normal ALT

 Park JJ  ;  Park JY  ;  Kim DY  ;  Park YN  ;  Ahn SH  ;  Chon CY  ;  Han KH 
 HEPATO-GASTROENTEROLOGY, Vol.58(109) : 1321-1327, 2011 
Journal Title
Issue Date
Adult ; Alanine Transaminase/blood* ; Female ; Hepatitis C, Chronic/complications* ; Hepatitis C, Chronic/physiopathology ; Humans ; Liver Cirrhosis/diagnosis* ; Male ; Middle Aged ; Prospective Studies
BACKGROUND/AIMS : Prediction of significant fibrosis (F=2) using non-invasive methods for chronic hepatitis C (CHC) patients with persistently normal alanine aminotransferase (PNALT) levels remains a challenging problem. We aimed to develop a novel non-invasive model for predicting the presence of significant fibrosis in CHC patients with PNALT.

METHODOLOGY : We prospectively enrolled 40 treatment-naïve CHC patients with PNALT who underwent liver biopsy and liver stiffness measurements (LSM). Age-platelet index (API), aspartate aminotransferase to platelet ratio index (APRI), LSM and LSM to platelet ratio index (LPRI) were compared with liver histology results.

RESULTS : Significant fibrosis was diagnosed in 17 patients (42.5%). The diagnostic accuracy of LPRI was the highest for the prediction of significant fibrosis (AUROC = 0.859) when compared to that of APRI (0.770), LSM (0.769) and API (0.703). Using a cutoff value of LPRI =37, the significant fibrosis could be correctly identified with high accuracy (100% PPV) in 6 (15.0%) patients. While, using an LPRI cutoff value <20, it could be excluded with 94.1% NPV in 17 (42.5%) patients. Consequently, 57.5% of the CHC patients with PNALT levels could avoid liver biopsy.

CONCLUSIONS : The LPRI was useful in predicting significant fibrosis. Screening CHC patients PNALT using LPRI has the potential to reduce the number of liver biopsies and might help designing appropriate management plans.
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Kim, Do Young(김도영)
Park, Young Nyun(박영년) ORCID logo https://orcid.org/0000-0003-0357-7967
Park, Jae Jun(박재준)
Park, Jun Yong(박준용) ORCID logo https://orcid.org/0000-0001-6324-2224
Ahn, Sang Hoon(안상훈) ORCID logo https://orcid.org/0000-0002-3629-4624
Chon, Chae Yoon(전재윤)
Han, Kwang-Hyub(한광협) ORCID logo https://orcid.org/0000-0003-3960-6539
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