Objective To establish a noninvasive diagnostic model for liver fibrosis in chronic hepatitis B(CHB)patients with normal alanine aminotransferase(ALT)and an age of≤30 years by selecting specific indicators from the commonly used noninvasive indicators such as clinical,biochemical,and imaging indicators,to avoid invasive liver biopsy in such patients to some extent,and to guide the timing of antiviral therapy.Methods A total of 251 CHB patients with normal ALT and an age of≤30 years who underwent liver biopsy in Shenzhen Third People's Hospital and The First Hospital of Changsha from January 2019 to January 2022 were enrolled,with 175 patients in the model group and 76 patients in the validation group,and commonly used clinical indicators were obtained based on clinical experience and related articles.The two-independent-samples t test or the two-independent-samples Mann-Whitney U rank sum test was used for comparison of continuous data between groups,and the chi-square test was used for comparison of categorical data between groups.A Spearman rank correlation analysis was used to investigate the correlation between each indicator and liver fibrosis and identify the indicators with correlation(P<0.01,r>0.200);a Logistic regression analysis was used to establish a noninvasive diagnostic model,and the receiver operating characteristic(ROC)curve was used to evaluate its performance and perform validation of the model;this model was then compared with the widely used models of aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB-4).The Kappa consistency test was used to investigate the consistency of pathological results.Results A total of 17 commonly used clinical indicators were obtained,among which 9 indicators(ALT,aspartate aminotransferase[AST],gamma-glutamyl transpeptidase[GGT],ferritin[FERR],platelet count[PLT],procollagen type Ⅲ amino-terminal peptide[PⅢP],collagen Ⅳ[CⅣ],HBV DNA,and spleen thickness)were correlated with liver fibrosis(P<0.01,r>0.232).Based on the above indicators,the predictive model was established as P=1/(1+e-γ),γ=-1.902+0.106×AST-0.011×PLT-0.265×HBV DNA+0.059×PⅢP,in which P was the probability for predicting≥S2 liver fibrosis and γ was the predictive index.The comparison between each indicator and the model showed that the model had the largest area under the ROC curve of 0.852,with a sensitivity of 92.7%and a specificity of 76.9%.The model was validated in 76 patients and showed an accuracy of 77.600%.The model was compared with APRI and FIB-4,and the results showed that the model has good accuracy.Conclusion Compared with the models of APRI and FIB-4 commonly used in the world,this model can more accurately judge the degree of liver fibrosis in such patients,thereby replacing liver biopsy to some extent and guiding the timing of antiviral therapy.

Objective To investigate the related factors of anxiety in patients undergoing liver puncture,so as to provide better clinical care and psychological intervention for patients to ensure the successful completion of liver puncture. Methods From January 2008 to January 2014,310 cases of patients from the Third People's Hospital of Shenzhen with liver puncture were selected as the research object. The patients' general condition and self rating Anxiety Scale were investigated. Results The SAS score of the patients who would undergo liver puncture was(47.25±0.44)points,and the incidence of anxiety symptoms was 91.3%. The results of univariate and multivariate analysis showed that the effect of patients with anxiety before liver biopsy can explain the variation of the size of the corresponding factors:whether accompanied by family members, payment methods,awareness of the disease,ear of liver failure,the education level,and gender(β' =0.617, 0.352,0.114,0.102,0.082、0.043;P < 0.05). Conclusions Before the liver puncture,the patients show a state of anxiety. The main factors affecting the anxiety status are whether to have family members,to pay for the disease,to understand the disease,to worry about the failure of liver failure,the degree of education and gender medical staff should provide targeted nursing intervention for patients to alleviate anxiety and promote rehabilitation on the basis of the above factors and the relevant circumstances.

Objective To predict whether antiviral therapy is required in patients with chronic hepatitis B virus(HBV)infection and an age of≤30 years by establishing a noninvasive model,and to investigate the diagnostic value of this model.Methods A retrospective analysis was performed for the clinical data of 175 patients with chronic HBV infection who were admitted to Shenzhen Third People's Hospital from January 2017 to January 2023 and met the inclusion criteria,and according to the results of liver biopsy,they were divided into treatment group with 41 patients(with indications for antiviral therapy)and observation group with 134 patients(without indications for antiviral therapy).The two groups were analyzed in terms of the indicators including clinical data,imaging examinations,and serum biochemical parameters.The univariate and multivariate Logistic regression analyses were used to investigate the parameters affecting the indication for antiviral therapy,and different models for predicting the need for antiviral therapy were constructed based on related parameters.The receiver operating characteristic(ROC)curve was used to compare the diagnostic value of different models.The independent-samples t test was used for comparison of normally distributed continuous variables between groups,and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous variables between groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between groups.Results There were significant differences between the treatment group and the observation group in alanine aminotransferase,ferritin,total cholesterol(CHOL),triglyceride,platelet count,liver stiffness measured by sound touch elastography(STE),and procollagen Ⅲ N-terminal propeptide(PIIIP)(all P<0.05).The multivariate Logistic regression analysis showed that CHOL(odds ratio[OR]=0.4,95％confidence interval[CI]:0.2—1.0),STE(OR=1.5,95％CI:1.0—2.1),and PIIIP(OR=1.1,95％CI:1.0—1.1)were independent predictive factors for the indications for antiviral therapy.Model 1(STE+PIIIP+CHOL),model 2(STE+PIIIP),model 3(STE+CHOL),model 4(PIIIP+CHOL)had an area under the ROC curve of 0.908,0.848,0.725,and 0.725,respectively,while STE,PIIIP,and CHOL used alone had an AUC of 0.836,0.725,and 0.634,respectively,suggesting that model 1 had the largest AUC,with a specificity of 77.34％and a sensitivity of 96.36％,and had a significant difference compared with STE,PIIIP,CHOL,and the models 2,3,and 4(Z=0.21,3.08,3.06,3.23,0.89,and 0.88,all P<0.05).Conclusion The noninvasive model established based on CHOL,STE,and PIIIP has a good value in predicting the need for antiviral therapy in patients with chronic HBV infection and an age of≤30 years.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.