Volume 42 Issue 7
Jul.  2021
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Qin XIE, Yan-ping LIANG, Yin ZHANG, Zeng-hui XU, Li-ying YOU. Efficacy of Multiple Non-invasive Diagnostic Models in the Diagnosis of Hepatic Fibrosis in Patients with Chronic Liver Diseases[J]. Journal of Kunming Medical University, 2021, 42(7): 115-120. doi: 10.12259/j.issn.2095-610X.S20210719
Citation: Qin XIE, Yan-ping LIANG, Yin ZHANG, Zeng-hui XU, Li-ying YOU. Efficacy of Multiple Non-invasive Diagnostic Models in the Diagnosis of Hepatic Fibrosis in Patients with Chronic Liver Diseases[J]. Journal of Kunming Medical University, 2021, 42(7): 115-120. doi: 10.12259/j.issn.2095-610X.S20210719

Efficacy of Multiple Non-invasive Diagnostic Models in the Diagnosis of Hepatic Fibrosis in Patients with Chronic Liver Diseases

doi: 10.12259/j.issn.2095-610X.S20210719
  • Received Date: 2021-04-16
    Available Online: 2021-07-19
  • Publish Date: 2021-07-21
  •   Objective  To investigate the diagnostic value of APRI, FIB-4, Forns, GPR, S-index, King, RPR non-invasive models in the diagnosis of liver fibrosis in patients with chronic liver disease.  Methods  The clinical data of 67 patients with chronic liver disease who received liver biopsy in Ganmei Hospital Affiliated to Kunming Medical University from January 2016 to December 2020 were retrospectively collected. The scores of different models were calculated and compared with the pathological stages of liver biopsy for statistical analysis.  Results  Among the 7 non-invasive models, the correlation between GPR and liver fibrosis stage was the weakest (r = 0.259), while RPR was the strongest (r = 0.769). The value of RPR in the diagnosis of liver fibrosis was the highest, and the AUROC of significant liver fibrosis (≥S2), advanced liver fibrosis (≥S3) and cirrhosis (S4) were 0.866, 0.883 and 0.967, respectively. The combined predictor RPR + FIB-4 + APRI was established to improve the ability to diagnose significant liver fibrosis, advanced liver fibrosis and cirrhosis (Auroc = 0.896, 0.919, 0.973).  Conclusion  The diagnostic performance of RPP is the best among the seven non-invasive models, and the combined diagnosis of non-invasive model can improve the accuracy of the diagnosis of liver fibrosis.
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