Fibro-indices versus liver stiffness for prediction of significant fibrosis in hepatitis B virus-infected Egyptian patients; a single-center experience

ABSTRACT

Background: Liver fibrosis assessment is a key factor for disease management in hepatitis B virus (HBV). Several serum biomarkers have been introduced for noninvasive fibrosis assessment. This study aims to evaluate the validity of simple noninvasive indices, namely Fibrosis-4 score (FIB4), aspartate aminotransferase (AST) to Platelet Ratio Index (APRI), Goteborg University Cirrhosis Index (GUCI), and fibrosis index in evaluation of liver fibrosis in chronic HBV.

Methods: 226 patients with chronic HBV genotype D were included. FIB4, APRI, GUCI, and fibrosis index were performed. Receiver operating characteristic (ROC) curves were used to predict ≥F2 fibrosis.

Results: The mean age of patients was 39.00 years and 72.27% of patients were treatment naïve. Patients with ≥F2 hepatic fibrosis had significantly higher FIB-4 (1.58 ± 1.46 vs. 1.15 ± 1.09), APRI (0.68 ± 0.71 vs. 0.43 ± 0.37), GUCI score (0.75 ± 0.94 vs. 0.42 ± 0.29) and Fibrosis index (2.18 ± 0.84 vs. 1.84 ± 0.69). All studied indices were able to diagnose ≥F2 fibrosis. APRI had the highest area under the ROC (AUROC) of 0.67. Predictivity of all indices was higher in on-treatment vs naive patients.

Conclusion: FIB4, APRI, and GUCI scores are acceptable, noninvasive, and cheap simple indices that can be helpful on treatment follow-up of fibrosis regression in the setting of low socioeconomic conditions compared to the relatively expensive fibroscan modality.

KEYWORDS:

• HBV
• noninvasive
• hepatic fibrosis

Author contributions

• Mohamed Said: Conception and design, revising the paper critically for intellectual content, and the final approval of the version to be published.

• Rasha Eletreby: Analysis and interpretation of the data and writing the paper.

• Heba Omar^: Performing statistical analysis, sharing in writing and revision of the manuscript.

• Hosam Dabees: Performing clinical supervision and data collection at treatment centers.

• Reem Abdelghafour: Performing clinical supervision and data collection at treatment centers.

• Magdy El-Serafy: Conception and design, supervision of clinical centers.

• Wahid Doss: Conception and design, supervision of clinical centers.

• All authors agree to be accountable for all aspects of the work.

Acknowledgments

No authorities or funding agent to be acknowledged.

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewers Disclosure

Peer reviewers on this manuscript have no relevant financial relationships or otherwise to disclose.

Additional information

Funding

This paper was not funded.