A study of the predictive value of clinical staging of liver fibrosis on the outcome of anti-hepatic fibrosis treatment
Objective To explore the predictive value of clinical staging of liver fibrosis on the outcome of anti-hepatic fibrosis treatment.Methods 78 patients with chronic hepatitis B(Hepatitis B)were retrospectively analyzed,all of whom underwent a liver puncture biopsy along with routine blood,biochemistry,and coagulation tests completed within 4 weeks.Based on the various stages of liver fibrosis development,78 patients were divided into group F01(Metavir score 0-1 points,30 patients),group F23(Metavir score 2-3 points,28 patients),and group F4(Metavir score 4 points,20 patients).The clinical data and laboratory indicators of the three groups were compared to analyze the correlation between the six model scores and the degree of liver fibrosis,and the efficacy of the six models(APRI,FIB-4,Forns,HB-F,APGA,and Hui models)in predicting liver significant fibrosis in patients with chronic hepatitis B was analyzed by receiver operating characteristic(ROC)curve.Results Comparison of the percentage of males,height and total cholesterol(TC)among the three groups of patients,the difference was not significant(P>0.05).Comparison of age,body mass,platelet count(PLT),alanine aminotrasferase(ALT),aspartate transaminase(AST),alkaline phosphatase(ALP),gamma-glutamyl transferase(GGT),albumin(ALB),total bilirubin(TBIL),prothrombin time(PT),alpha fetoprotein(AFP)among the three groups of patients,the difference was highly significant(P<0.05).APRI,FIB-4,Forns,HB-F,APGA,Hui model index were positively correlated with the severity of liver fibrosis(r=0.607,0.677,0.690,0.498,0.609,0.610;P<0.05).Of the 78 patients with chronic hepatitis B,60 cases(76.92%)had ALT<2 times the upper limit of normal(ULN).Conclusion Regardless of whether ALT≥2 times ULN or ALT<2 times ULN,clinical staging of liver fibrosis can accurately identify significant liver fibrosis and cirrhosis in patients with chronic hepatitis B.In addition,the data contained in the APGA model are quite easy to access,making it highly suitable for practical medical applications.
Clinical staging of liver fibrosisLiver fibrosisTherapeutic effectPredictive value