Associated Factors for Liver Fibrosis and Histological Activity Index in Treatment-Naïve HBeAg-Positive Chronic...

The study aimed to identify predictors of advanced fibrosis score and histological activity index (HAI) in HBeAg-positive patients to facilitate early disease detection and reduce the need for invasive biopsies.

The single-center retrospective study included treatment-naïve HBeAg-positive chronic hepatitis B (CHB) patients. Patients with HAI ≥6 and/or fibrosis ≥2 were considered to have significant liver damage. Independent determinants were identified by univariate and multivariate logistic regression analysis. Cut-off values for variables were determined by receiver operating characteristics (ROCs) curve analysis.

The study enrolled a cohort of 66 patients, with 51.5% male and a median age of 26 (22.7-34.2) years. In assessing necroinflammation, no significant differences were observed in age and gender between patients with HAI <6 and HAI ≥6. However, patients with HAI ≥6 exhibited higher aspartate aminotransferase (AST) levels compared to those with HAI <6. Furthermore, lower albumin levels and platelet (PLT) counts, along with higher fibrosis-4 (FIB-4) scores, were associated with HAI ≥6. In the evaluation of fibrosis, while gender distribution did not differ significantly, patients with fibrosis grade ≥2 were older and had higher HAI scores, HAI ≥6 ratios, and FIB-4 scores compared to those with fibrosis grade <2. Multivariate analysis identified albumin as a significant predictor for both HAI ≥6 and fibrosis grade ≥2. The area under ROC (AUROC) values of albumin for predicting HAI ≥6 and fibrosis ≥2 were 0.696 and 0.698, respectively, indicating moderate predictive ability.

Albumin was found to be an independent predictor of liver damage in HBeAg-positive CHB patients. The fact that the optimal threshold values detected for both HAI ≥6 and fibrosis ≥2 in this patient group were close to normal values suggests that clinicians should be more cautious in monitoring albumin levels and other pre-defined parameters to avoid delays in diagnosis.