Aim: A rapid and non-invasive method of detecting fibrosis in patients with chronic liver diseases is of major clinical interest. The purpose of this study was to comparatively investigate the effectiveness of the Liver Fibrosis Index (LF Index) calculated using real-time tissue elastography (RTE) in patients with non-alcoholic fatty liver disease (NAFLD) and patients with chronic hepatitis C (CHC).
Methods: Twenty-seven patients with biopsy-proven NAFLD and 93 patients with biopsy-proven CHC were included. They underwent transient elastography (TE), serum liver fibrosis marker testing and RTE to calculate the LF Index.
Results: The LF Index showed a stepwise increase with increasing histological severity of fibrosis in CHC patients (P = 0.0102), whereas no significant correlation of the LF Index with the histological severity of liver fibrosis in NAFLD patients (P = 0.852). There was a significant correlation between the LF Index and liver stiffness measured by TE in CHC patients (r = 0.319, P = 0.0009). On the other hand, no such correlation was observed in NAFLD patients. While in CHC patients, the LF Index was correlated with the FIB-4 index, no such correlation was observed in NAFLD patients.
Conclusion: The LF Index calculated by RTE is effective for assessment of liver fibrosis in patients with CHC. On the other hand, it is not useful in patients with NAFLD. This is the first study to compare the clinical usefulness of RTE as non-invasive assessment of liver fibrosis between CHC and NAFLD. Further investigations are required to refine statistical assessment of RTE.
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http://dx.doi.org/10.1111/hepr.12023 | DOI Listing |
Background & Aims: Chronic liver diseases pose a serious public health issue. Identifying patients at risk for advanced liver fibrosis is crucial for early intervention. The Fibrosis-4 score (FIB-4), a simple non-invasive test, classifies patients into three risk groups for advanced fibrosis.
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Hebei Provincial Key Laboratory of Portal Hypertension and Cirrhosis, Xingtai People's Hospital, Xingtai, China; Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.
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Department of Statistics, University of California, Davis, California, USA.
A causal mediation model with multiple time-to-event mediators is exemplified by the natural course of human disease marked by sequential milestones with a time-to-event nature. For example, from hepatitis B infection to death, patients may experience intermediate events such as liver cirrhosis and liver cancer. The sequential events of hepatitis, cirrhosis, cancer, and death are susceptible to right censoring; moreover, the latter events may preclude the former events.
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Pharmacology and Toxicology Department, Faculty of Pharmacy, Cairo University, Cairo, 11562, Egypt.
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