Volume 46 Issue 10
Oct.  2025
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Yixin WANG, Fang WANG, Xiangyan WEI, Haiyang JIANG, Airong CHEN. Study on Predictive Parameters of Liver Fibrosis Risk in Patients with Metabolic Dysfunction-associated Fatty Liver Disease Complicated with Chronic Hepatitis B[J]. Journal of Kunming Medical University, 2025, 46(10): 121-128. doi: 10.12259/j.issn.2095-610X.S20251015
Citation: Yixin WANG, Fang WANG, Xiangyan WEI, Haiyang JIANG, Airong CHEN. Study on Predictive Parameters of Liver Fibrosis Risk in Patients with Metabolic Dysfunction-associated Fatty Liver Disease Complicated with Chronic Hepatitis B[J]. Journal of Kunming Medical University, 2025, 46(10): 121-128. doi: 10.12259/j.issn.2095-610X.S20251015

Study on Predictive Parameters of Liver Fibrosis Risk in Patients with Metabolic Dysfunction-associated Fatty Liver Disease Complicated with Chronic Hepatitis B

doi: 10.12259/j.issn.2095-610X.S20251015
  • Received Date: 2025-03-11
  • Publish Date: 2025-10-28
  •   Objective  To explore the influencing factors of liver fibrosis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD) complicated with chronic hepatitis B (CHB), and to find clinically convenient predictive parameters for assessing liver fibrosis risk.   Methods  A retrospective analysis was conducted on 221 cases of MAFLD with CHB diagnosed and treated at the Second Hospital of Lanzhou University between January 2015 and August 2022. Patients were divided into low-risk (FIB-4<1.30, n = 84), medium-risk (1.30≤FIB-4≤2.67, n = 94) and high-risk (FIB-4>2.67, n = 43) liver fibrosis groups based on the Fibrosis-4 (FIB-4) index. General clinical data, laboratory indicators and composite indicators were compared among the three groups. Variables were screened using forward stepwise regression, and binary logistic regression analysis was performed to determine independent predictors of liver fibrosis. A prediction model was constructed and evaluated using receiver operating characteristic (ROC) curve analysis.   Results  Age, AST and Triglyceride-glucose index(TyG) were independent risk factors for liver fibrosis in patients with MAFLD combined with CHB, while platelet-to-lymphocyte ratio (PLR) was an independent protective factor (all P < 0.05). ROC curve analysis showed that the area under the curve (AUC) for age, AST, TyG, PLR, age-AST and AST-TyG in predicting liver fibrosis were 0.668, 0.764, 0.680, 0.738, 0.856 and 0.805, respectively. At the optimal cut-off values, the sensitivities were 86.0%, 67.4%, 93.0%, 62.8%, 86.0% and 79.1%, and the specificities were 43.3%, 82.0%, 51.7%, 86.0%, 71.3% and 70.2%.   Conclusion  Age, AST, TyG and PLR are influencing factors of liver fibrosis in MAFLD combined with CHB patients. The parameters established based on these factors may predict the risk of liver fibrosis, and combined prediction can improve predictive efficacy.
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