1.Influencing factors for recompensation and its impact on the prognosis in patients with decompensated liver cirrhosis
Danqing XU ; Haiwen LI ; Huan MU ; Yingyuan ZHANG ; Caifen SA ; Li LIU ; Yongrui YANG
Journal of Clinical Hepatology 2026;42(1):90-100
ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated liver cirrhosis, as well as the impact of recompensation on the prognosis of such patients, and to provide a basis for early identification of high-risk patients in clinical practice. MethodsA retrospective analysis was performed for the clinical data of patients who attended The Third People’s Hospital of Kunming from January 2016 to December 2022 and were diagnosed with decompensated liver cirrhosis due to hepatitis B, hepatitis C, alcoholic hepatitis, and autoimmune hepatitis, and they were divided into recompensation group and persistent decompensation group. To control for confounding factors, whether recompensation occurred was used as the rouping variable,and BMI, alcohol consumption history, HIV infection history, TG, CHOL, LDL, and HDL were used as covariates. The propensity score was calculated, and 1:1 nearest neighbor matching was performed with a caliper value of 0.1. After propensity score matching, the recompensation group and the persistent decompensation group with relatively balanced covariates were obtained. Univariate and multivariate Cox proportional-hazards regression model analyses were used to investigate the influencing factors for recompensation; the “rms” package was used to establish a nomogram; the receiver operating characteristic (ROC) curve was plotted to calculate the area under the ROC curve (AUC); the Hosmer-Lemeshow test was used to assess the goodness of fit of the model; the “Calibration Curves” package was used to plot calibration curves for model assessment. The Kaplan-Meier method was used to plot survival curves, and the Log-rank test was used for comparison of survival curves. ResultsAmong the 863 patients with decompensated liver cirrhosis, 305 experienced recompensation, resulting in an incidence rate of 35.3%. After PSM, 610 cases were successfully matched, with 305 cases in each group. The univariate and multivariate Cox regression analyses showed that etiology (hepatitis C: hazard ratio[HR]=0.288, P=0.002); male(HR=0.701, P=0.016), age(HR=0.988, P=0.047), hemoglobin (HGB)(HR=1.006, P=0.017), and CD4 T cell(HR=1.001,P=0.047), TIPS procedure (HR=1.808,P=0.042) were independent influencing factors for recompensation in patients with decompensated liver cirrhosis. During follow-up, 116 patients died of liver disease-related causes, with 27 patients (8.85%) in the recompensation group and 89 (15.95%) in the persistent decompensation group; 109 patients developed HCC, with 23 patients (7.54%) in the recompensation group and 86 (15.41%) in the persistent decompensation group. The Kaplan-Meier survival curves showed significant separation between the patients with different states of compensation in terms of liver disease-related mortality rate and the incidence rate of HCC, and the Log-rank test showed that there were significant differences between the two groups in liver disease-related mortality rate (χ2=9.023, P=0.003) and the incidence rate of HCC (χ2=10.526, P=0.001). ConclusionEtiology,sex,age,TIPS,HGB,and CD4 T cell are independent influencing factors for recompensation in patients with decompensated liver cirrhosis. There is a significant difference in the incidence rate of recompensation between decompensated liver cirrhosis patients with different etiologies, and female patients and patients with a younger age,a history of TIPS, a higher HGB level, and a higher CD4 lymphocyte count are more likely to experience recompensation. Recompensation is the key to improving the long-term prognosis of patients and can significantly reduce long-term liver disease-related mortality rate and the incidence rate of HCC.
2.Construction of a nomogram model for clinical cure of chronic hepatitis B with a low level of hepatitis B surface antigen treated with pegylated interferon α-2b
Yingyuan ZHANG ; Huan MU ; Lixian CHANG ; Danqing XU ; Yuanzhen WANG ; Chunyun LIU ; Weikun LI ; Huangchenghao ZHANG ; Chunyan MOU ; Li LIU
Journal of Clinical Hepatology 2026;42(5):1038-1047
ObjectiveTo investigate the predictive factors for HBsAg clearance in chronic hepatitis B (CHB) patients with a low level of hepatitis B surface antigen (HBsAg) treated with pegylated interferon α-2b (PEG-IFN-α-2b), to establish a combined predictive model and a nomogram based on multiple factors, and to provide a reference for formulating individualized treatment regimens and predicting treatment outcome in clinical practice. MethodsA retrospective analysis was performed for 167 CHB patients with HBsAg <1 500 IU/mL who attended The Third People’s Hospital of Kunming from January 2022 to January 2024 and were treated with PEG-IFN-α-2b. According to whether clinical cure was achieved, the patients were divided into HBsAg clearance group and HBsAg non-clearance group. Related data were collected, including general information and serological/biochemical/virological indicators at different time points during treatment. The independent samples t-test was used for comparison of normally distributed continuous data, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data; the chi-square test was used for comparison of categorical data. The multivariate logistic regression analysis was used to identify independent influencing factors. The receiver operating characteristic (ROC) curve was used to assess the value of indicators used alone or in combination in predicting clinical cure, and calibration curves were plotted to assess the risk prediction model. ResultsThe univariate analysis showed that there were significant differences between the two groups in age (t=-6.839, P<0.05), history of nucleos(t)ide analogue treatment for over 1 year (χ2=59.339, P<0.05), genotype (χ2=4.610, P<0.05), nonalcoholic fatty liver disease (χ2=5.319, P<0.05), hepatitis B virus DNA status before treatment (χ2=60.861, P <0.05), compensated liver cirrhosis (χ2=10.960, P<0.05), HBeAg status before treatment (χ2=19.060, P<0.05), a history of interferon treatment (χ2=8.162, P<0.05), presence of interferon antibodies after treatment (χ2=12.858, P<0.05), HBsAg level before treatment (Z=-7.412, P<0.05), alanine aminotransaminase (ALT) level at baseline (Z=-6.117, P<0.05), ALT level at 12 weeks of treatment (Z=-7.171, P<0.05), platelet count (PLT) at 24 weeks of treatment (Z=-3.622, P<0.05), and thyroid stimulating hormone (TSH) level at 24 weeks of treatment (Z=-2.830, P<0.05). The multivariate logistic regression analysis showed that age (odds ratio [OR]=1.230, P=0.007), history of nucleos(t)ide analogue treatment for over 1 year (OR=0.008, P=0.011), HBeAg status before treatment (OR=0.003, P=0.012), HBsAg level before treatment (OR=1.005, P=0.014), ALT level at baseline (OR=0.949, P=0.014), ALT level at 12 weeks of treatment (OR=0.969, P=0.016), PLT at 24 weeks of treatment (OR=0.969, P=0.022), and TSH level at 24 weeks of treatment (OR=3.608, P=0.045) were independent influencing factors for HBsAg clearance at 48 weeks of treatment in CHB patients with HBsAg <1 500 IU/mL. The Hosmer-Lemeshow goodness-of-fit test yielded χ2=1.398, P=0.994, indicating that the model had good fitting. The Bootstrap method was used to perform internal validation of the nomogram model, and there was a good degree of fitting between the calibration curve and the ideal curve, with a mean absolute error of 0.029. The ROC curve analysis showed that the combination of predictive factors had an area under the ROC curve of 0.982 (95% confidence interval: 0.961 — 0.999), with a sensitivity of 94.10% and a specificity of 93.10%, suggesting that the nomogram model had a good discriminatory ability. For the CHB patients with HBsAg <1 500 IU/mL and different features, further analysis of HBsAg clearance rate at 48 weeks of treatment showed an HBsAg clearance rate of 69.60% for those with HBsAg ≤67.65 IU/mL before treatment, 58.30% for those with a baseline ALT level of ≥62.50 U/L, 68.30% for those with an ALT level of ≥92.50 U/L at 12 weeks of treatment, 42.40% for those with PLT ≥104×109/L at 24 weeks of treatment, and 48.30% for those with a TSH level of ≤1.38 μIU/mL at 24 weeks of treatment, with significant differences between the two groups (all P<0.001). ConclusionAge, history of nucleos(t)ide analogue treatment for over 1 year, HBeAg status before treatment, HBsAg level before treatment, baseline ALT level, ALT level at 12 weeks of treatment, PLT level at 24 weeks, and TSH level at 24 weeks of treatment are independent predictive factors. The combined prediction nomogram model constructed in this study has a relatively high value in predicting clinical cure at 48 weeks of PEG-IFN-α-2b treatment in CHB patients with HBsAg<1 500 IU/mL, thereby providing a reference for selecting suitable treatment population and predicting clinical cure.
3.Value of albumin-bilirubin, easy albumin-bilirubin, and platelet-albumin-bilirubin scores in predicting the prognosis of patients with HCV-associated hepatocellular carcinoma
Huan MU ; Yingyuan ZHANG ; Danqing XU ; Yuanqiang HE ; Chunyan MOU ; Chunyun LIU ; Li LIU
Journal of Clinical Hepatology 2025;41(5):921-926
ObjectiveTo investigate the value of albumin-bilirubin (ALBI), easy albumin-bilirubin (EZ-ALBI), and platelet-albumin-bilirubin (PALBI) scores in predicting 2-year survival in patients with HCV-associated hepatocellular carcinoma (HCV-HCC). MethodsA retrospective analysis was performed for the clinical data of 174 patients with HCV-HCC who were admitted to The Third People’s Hospital of Kunming from January 2020 to January 2022, and the patients were followed up till 2 years after admission. According to the follow-up results, the patients were divided into survival group with 95 patients and death group with 79 patients. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. Univariate and multivariate Cox proportional-hazards regression model analyses were used to investigate the influencing factors for the survival of HCV-HCC patients. The Kaplan-Meier method was used to plot survival curves and analyze the 2-year survival rate of HCV-HCC patients with different EZ-ALBI grades, and the log-rank test was used for comparison between groups. ResultsThere were significant differences between the survival group and the death group in platelet count, aspartate aminotransferase (AST), total bilirubin, albumin (Alb), alpha-fetoprotein (AFP), prealbumin, prothrombin time, international normalized ratio, PALBI score, ALBI score, EZ-ALBI score, Model for End-Stage Liver Disease (MELD) score, HCV genotype, peritoneal effusion, and vascular invasion (all P<0.05). The univariate Cox regression analysis showed that AST, Alb, AFP, ALBI score, EZ-ALBI score, PALBI score, MELD score, Barcelona Clinic Liver Cancer Staging, and peritoneal effusion were influencing factors for the survival of patients (all P<0.05), and the multivariate Cox regression analysis showed that EZ-ALBI score (hazard ratio [HR]=1.850, 95% confidence interval [CI]: 1.054 — 3.247, P=0.032) and peritoneal effusion (HR=1.993, 95%CI: 1.030 — 3.858, P=0.041) were independent risk factors for the survival of HCV-HCC patients. The survival curve analysis showed that the patients with EZ-ALBI grade 1/2/3 had a 2-year survival rate of 90.9%, 60.2%, and 32.2%, respectively, and there was a significant difference in cumulative survival rate between the patients with different EZ-ALBI grades (χ2=26.294, P<0.001). ConclusionEZ-ALBI score and the presence or absence of peritoneal effusion can be used as predictors of the survival of HCV-HCC patients.
4.The study on the optimization of portal vein image quality in liver cirrhosis by combining deep learning image reconstruction with"three low techniques"spectrum CT with low keV
Ming LI ; Yongjun JIA ; Li SHEN ; Junfeng FAN ; Nan YU ; Yong YU ; Danqing ZHANG
Journal of Practical Radiology 2025;41(10):1729-1733
Objective To explore the value of deep learning image reconstruction(DLIR)combined with"three low(low radiation dose,low contrast dose,and low contrast injection rate)techniques"of spectrum CT with low keV in optimizing the image quality of portal vein for liver cirrhosis.Methods Sixty patients with liver cirrhosis who underwent computed tomography portal venography(CTPV)were selected and randomly divided into standard protocol group(group A,n=30)and"three-low"protocol group(group B,n=30).The group A with 120 kVp,contrast dose of 1.4 mL/kg,injection rate of 4.0-5.0 mL/s,and reconstructed 50%adaptive statistical iterative reconstruction-Veo(ASIR-V)image.The group B with 80 kVp/140 kVp double instantaneous switching gemstone spectral imaging(GSI)scan,contrast dose of 1.0 mL/kg,injection rate of 3.0-3.5 mL/s,and reconstructed 40 keV DLIR-M and DLIR-H images.The quality of portal vein images,effective dose(ED),contrast dose and injection rate were compared between the two groups.Results The ED of(4.10±1.56)mSv in group B was lower than that of(7.88±1.08)mSv in group A(P<0.001),and the contrast dose of(67.26±8.74)mL in group B was lower than that of(99.12±8.84)mL in group A(P<0.001).The injection rate of 3.0-3.5 mL/s in group B was reduced by 25%-30%compared with group A.Group B had the greatest contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of portal vein in the 40 keV DLIR-H.The subjective image quality scores were in good agreement between the two physicians(Kappa value>0.75).The subjective DLIR score in group B was higher than that in group A.Conclusion DLIR combined with"three low techniques"spectrum CT with low keV can improve the image quality of portal vein in liver cirrhosis patients.
5.Clinical value of total parathyroidectomy combined with calf subcutaneous autotransplantation in the treatment of secondary hyperparathyroidism
Yongtian LI ; Feng ZHAO ; Wenping WANG ; Danqing CHEND ; Yisong WANG ; Rujuan WANG ; Chongyue TIAN
Journal of Shenyang Medical College 2025;27(1):38-42
Objective:To investigate the surgical effect of total parathyroidectomy combined with calf subcutaneous autotransplantation in the treatment of secondary hyperparathyroidism.Method:From Dec 2018 to Dec 2022,31 patients with secondary hyperparathyroidism who underwent total parathyroidectomy combined with calf subcutaneous autotransplantation in our hospital were selected to analyze the therapeutic effect.Results:All 31 operations were successfully completed.A total of 120 parathyroid glands were removed,including 27 cases(87.10%)with 4 parathyroid glands and 4 cases(12.90%)with 3 parathyroid glands.The average length of hospitalization was(15.82±8.74)days.Compared with preoperative parathyroid hormone,the value of parathyroid hormone decreased by more than 50%after 20 min of total parathyroidectomy.The levels of serum calcium,phosphorus,iPTH and calcium-phosphorus product at each time point after operation were significantly lower than those before operation(P<0.01).The symptoms of joint pain was significantly improved in all patients after operation.During the postoperative follow-up of 31 patients,1 patient was confirmed to have graft recurrence at 6 months after operation,which was surgically removed.Conclusion:Total parathyroidectomy combined with calf subcutaneous autotransplantation can effectively treat secondary hyperparathyroidism and significantly improve the quality of life.
6.Analysis of influencing factors and construction of predictive model for HBsAg clearance in patients with HBeAg-negative chronic hepatitis B treated with PEG-IFN-α-2b
Yingyuan ZHANG ; Danqing XU ; Huan MU ; Yuanqiang HE ; Yuanzhen WANG ; Chunyun LIU ; Weikun LI ; Chunyan MOU ; Li LIU
Journal of Clinical Hepatology 2025;41(8):1525-1532
Objective To investigate the predictive factors for the occurrence of HBsAg clearance in patients with HBeAg-negative chronic hepatitis B(CHB)receiving peginterferon alfa-2b(PEG-IFN-α-2b)treatment,analyze the effects of various indicators on the HBsAg clearance rate under different characteristics,and construct and evaluate a combined predictive model.Methods We included 125 patients with HBeAg-negative CHB at Kunming Third People's Hospital from May 2021 to May 2023.After treatment with PEG-IFN-α-2b combined with nucleoside analogues for a course of 48 weeks,they were divided into HBsAg clearance group and HBsAg non-clearance group.Their general information and serological,biochemical,and virological indicators at different time points during treatment were recorded.Continuous data in normal distribution were compared using the t test.Continuous data in non-normal distribution were compared using the Mann-Whitney U test,and comparisons across different time points were performed using the multiple paired-sample Friedman test.Categorical data were compared using the χ2 test.A Logistic regression analysis was used to select variables to establish a combined multi-parameter predictive model.Receiver operating characteristic(ROC)curves were generated to evaluate the diagnostic value of individual indicators and the combined predictive model for HBsAg clearance.Results Before treatment,there were significant differences in baseline HBsAg level(Z=-3.997,P<0.05)and treatment history(χ2=8.221,P<0.05)between the two groups.During treatment,gradually decreasing trends were observed in white blood cell count(χ2=104.944),neutrophil count(χ2=132.036),platelet count(χ2=162.881),and thyroid-stimulating hormone level(TSH,χ2=83.304,all P<0.05),while alanine aminotransferase(ALT,χ2=157.618)and alpha fetoprotein(χ2=159.472)showed gradually increasing trends(both P<0.05).At 48 weeks of treatment,treatment history(odds ratio[OR]=0.232,95%confidence interval[CI]:0.071-0.753),baseline HBsAg level(OR=13.423,95%CI:3.276-54.997),the extent of decrease in HBsAg from baseline after 12 weeks of treatment(OR=0.143,95%CI:0.040-0.515),the maximum ALT level during treatment(OR=0.986,95%CI:0.980-0.993),and the minimum TSH level during treatment(OR=3.281,95%CI:1.413-7.619)were independent factors affecting HBsAg clearance(all P<0.05).A combined predictive model for HBsAg clearance was built:Y=-1.603-1.462×treatment history+2.597×baseline HBsAg value-1.944×the extent of HBsAg reduction from baseline after 12 weeks of treatment-0.014×the maximum ALT value during treatment+1.188×the minimum TSH value during treatment.The diagnostic value of the individual indicators for HBsAg clearance from high to low was as following:the maximum ALT value during treatment(AUC=0.824),baseline HBsAg value(AUC=0.727),the minimum TSH value during treatment(AUC=0.707),the extent of HBsAg reduction from baseline after 12 weeks of treatment(AUC=0.641),and treatment history(AUC=0.636).The combined model showed better predictive performance than the individual indicators,with the AUC being 0.921(all P<0.05).Conclusion The combined model,constructed with baseline HBsAg value,the extent of HBsAg reduction from baseline after 12 weeks of treatment,the maximum ALT value during treatment,and the minimum TSH value during treatment,has high predictive value for the occurrence of HBsAg clearance in patients with HBeAg-negative CHB after 48 weeks of treatment with PEG-IFN-α-2b,which can provide a reference for identifying suitable patients for treatment and predicting clinical outcome.
7.Influencing factors for recompensation in patients with decompensated hepatitis B cirrhosis
Danqing XU ; Yingyuan ZHANG ; Huan MU ; Caifen SA ; Chunyan MOU ; Yuanzhen WANG ; Weikun LI ; Li LIU
Journal of Clinical Hepatology 2025;41(7):1364-1370
Objective To investigate the influencing factors for recompensation in patients with decompensated hepatitis B cirrhosis,and to establish a predictive model.Methods A total of 517 patients who attended The Third People's Hospital of Kunming and were diagnosed with decompensated hepatitis B cirrhosis from January 1,2016 to December 31,2022 were enrolled.The clinical data of the patients were reviewed,and the 207 patients with no portal hypertension-related complications within at least 1 year were enrolled as recompensation group,while the 310 patients without recompensation were enrolled as persistent decompensation group.Related clinical data were collected,and the univariate and multivariate Cox regression analyses were performed for the factors that might affect the occurrence of recompensation.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.The"rms"package was used to establish a nomogram;the receiver operating characteristic(ROC)curve was plotted,and the area under the ROC curve(AUC)was calculated;the Hosmer-Lemeshow test was used to evaluate the degree of fitting of the model;the"Calibration Curves"package was used to plot the calibration curve for model assessment.Results Among the patients with decompensated hepatitis B cirrhosis,207(40.03%)had recompensation.The univariate Cox regression analysis showed that there were significant differences between the recompensation group and the persistent decompensation group in TIPS history,genotyping,portal vein thrombosis,complicated infection,Child-Pugh class,age,hemoglobin(Hb),platelet count,total protein,albumin(Alb),alanine aminotransferase,triglyceride,cholesterol,creatinine,Na,interleukin-6,high-sensitivity C-reactive protein,portal vein width,and portal vein velocity(all P<0.05).The multivariate regression analysis showed that TIPS history(hazard ratio[HR]=2.491,95%confidence interval[CI]:1.325-4.681,P=0.005),portal vein thrombosis(HR=0.345,95%CI:0.152-0.783,P=0.001),Hb(HR=1.007,95%CI:1.000-1.013,P=0.028),Alb(HR=1.048,95%CI:1.017-1.080,P=0.002),and portal vein width(HR=0.899,95%CI:0.835-0.967,P=0.004)were independent influencing factors for recompensation in patients with decompensated hepatitis B cirrhosis.A nomogram model was established based on the above five influencing factors,and the Hosmers-Lemeshow test showed that this model had a good degree of fitting(χ2=3.202,P=0.921).The nomogram model had an AUC of 0.728,a sensitivity of 50.3%,and a specificity of 85.0%,and the calibration curve showed good consistency between the actual value of this model in predicting the occurrence of recompensation and the predicted value in patients with decompensated hepatitis B cirrhosis.Conclusion Patients with decompensated hepatitis B cirrhosis who have a history of TIPS and high levels of Alb and Hb are more likely to have recompensation,and it is relatively difficult for patients with portal vein thrombosis and an increase in portal vein width to achieve recompensation.
8.Stapled closure of the internal fistula orifice in anal fistula for high complex anal fistula
Ruijun XIE ; Junfeng CAI ; Xin WANG ; Yuning WU ; Danqing LI ; Feng SUN
Chinese Journal of Gastrointestinal Surgery 2025;28(12):1461-1465
Objective:To investigate the feasibility of stapled closure of the internal fistula orifice in anal fistula (SCIA) combined with catheter drainage in the extra-sphincteric space in the treatment of high complex anal fistula.Methods:Methods Surgical procedure: Under combined spinal-epidural anesthesia, a submucosal purse-string suture was placed above the dentate line, and the stapler was inserted to close the internal opening. The fistulous tract was dissected from the external opening toward the cranial side and excised along its path to the level of the levator ani muscle, followed by placement of catheter drainage in the extra-sphincteric space.Results:A retrospective analysis was conducted on the clinical data of a 40-year-old male patient with a high-position complex anal fistula, who underwent SCIA combined with catheter drainage in the extra-sphincteric space at the Department of Colorectal Surgery, The First Affiliated Hospital of Guangzhou University of Chinese Medicine in December 2024. The surgery was successful with minimal intraoperative bleeding, a complete anastomosis, and thorough fistula tract dissection. There was no sphincter injury occurred, and the catheter drainage was unobstructed. The patient was discharged on postoperative day 8. Postoperative follow-up visits were conducted at 2 months and 6 months after surgery. The patient had no symptoms such as pain, purulent discharge, or pruritus. MRI scans of the anal canal (both plain and contrast-enhanced) at 2 months and 6 months showed no recurrence of the fistula. The Wexner fecal incontinence score was 0, indicating normal bowel control, and the Garg score was less than 8, suggesting fistula healing and low probability of recurrence.Conclusion:SCIA combined with catheter drainage in the extra-sphincteric space is a safe and feasible procedure for the treatment of high complex anal fistula.
9.Influencing factors for recompensation in patients with decompensated hepatitis B cirrhosis
Danqing XU ; Yingyuan ZHANG ; Huan MU ; Caifen SA ; Chunyan MOU ; Yuanzhen WANG ; Weikun LI ; Li LIU
Journal of Clinical Hepatology 2025;41(7):1364-1370
Objective To investigate the influencing factors for recompensation in patients with decompensated hepatitis B cirrhosis,and to establish a predictive model.Methods A total of 517 patients who attended The Third People's Hospital of Kunming and were diagnosed with decompensated hepatitis B cirrhosis from January 1,2016 to December 31,2022 were enrolled.The clinical data of the patients were reviewed,and the 207 patients with no portal hypertension-related complications within at least 1 year were enrolled as recompensation group,while the 310 patients without recompensation were enrolled as persistent decompensation group.Related clinical data were collected,and the univariate and multivariate Cox regression analyses were performed for the factors that might affect the occurrence of recompensation.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.The"rms"package was used to establish a nomogram;the receiver operating characteristic(ROC)curve was plotted,and the area under the ROC curve(AUC)was calculated;the Hosmer-Lemeshow test was used to evaluate the degree of fitting of the model;the"Calibration Curves"package was used to plot the calibration curve for model assessment.Results Among the patients with decompensated hepatitis B cirrhosis,207(40.03%)had recompensation.The univariate Cox regression analysis showed that there were significant differences between the recompensation group and the persistent decompensation group in TIPS history,genotyping,portal vein thrombosis,complicated infection,Child-Pugh class,age,hemoglobin(Hb),platelet count,total protein,albumin(Alb),alanine aminotransferase,triglyceride,cholesterol,creatinine,Na,interleukin-6,high-sensitivity C-reactive protein,portal vein width,and portal vein velocity(all P<0.05).The multivariate regression analysis showed that TIPS history(hazard ratio[HR]=2.491,95%confidence interval[CI]:1.325-4.681,P=0.005),portal vein thrombosis(HR=0.345,95%CI:0.152-0.783,P=0.001),Hb(HR=1.007,95%CI:1.000-1.013,P=0.028),Alb(HR=1.048,95%CI:1.017-1.080,P=0.002),and portal vein width(HR=0.899,95%CI:0.835-0.967,P=0.004)were independent influencing factors for recompensation in patients with decompensated hepatitis B cirrhosis.A nomogram model was established based on the above five influencing factors,and the Hosmers-Lemeshow test showed that this model had a good degree of fitting(χ2=3.202,P=0.921).The nomogram model had an AUC of 0.728,a sensitivity of 50.3%,and a specificity of 85.0%,and the calibration curve showed good consistency between the actual value of this model in predicting the occurrence of recompensation and the predicted value in patients with decompensated hepatitis B cirrhosis.Conclusion Patients with decompensated hepatitis B cirrhosis who have a history of TIPS and high levels of Alb and Hb are more likely to have recompensation,and it is relatively difficult for patients with portal vein thrombosis and an increase in portal vein width to achieve recompensation.
10.Analysis of influencing factors and construction of predictive model for HBsAg clearance in patients with HBeAg-negative chronic hepatitis B treated with PEG-IFN-α-2b
Yingyuan ZHANG ; Danqing XU ; Huan MU ; Yuanqiang HE ; Yuanzhen WANG ; Chunyun LIU ; Weikun LI ; Chunyan MOU ; Li LIU
Journal of Clinical Hepatology 2025;41(8):1525-1532
Objective To investigate the predictive factors for the occurrence of HBsAg clearance in patients with HBeAg-negative chronic hepatitis B(CHB)receiving peginterferon alfa-2b(PEG-IFN-α-2b)treatment,analyze the effects of various indicators on the HBsAg clearance rate under different characteristics,and construct and evaluate a combined predictive model.Methods We included 125 patients with HBeAg-negative CHB at Kunming Third People's Hospital from May 2021 to May 2023.After treatment with PEG-IFN-α-2b combined with nucleoside analogues for a course of 48 weeks,they were divided into HBsAg clearance group and HBsAg non-clearance group.Their general information and serological,biochemical,and virological indicators at different time points during treatment were recorded.Continuous data in normal distribution were compared using the t test.Continuous data in non-normal distribution were compared using the Mann-Whitney U test,and comparisons across different time points were performed using the multiple paired-sample Friedman test.Categorical data were compared using the χ2 test.A Logistic regression analysis was used to select variables to establish a combined multi-parameter predictive model.Receiver operating characteristic(ROC)curves were generated to evaluate the diagnostic value of individual indicators and the combined predictive model for HBsAg clearance.Results Before treatment,there were significant differences in baseline HBsAg level(Z=-3.997,P<0.05)and treatment history(χ2=8.221,P<0.05)between the two groups.During treatment,gradually decreasing trends were observed in white blood cell count(χ2=104.944),neutrophil count(χ2=132.036),platelet count(χ2=162.881),and thyroid-stimulating hormone level(TSH,χ2=83.304,all P<0.05),while alanine aminotransferase(ALT,χ2=157.618)and alpha fetoprotein(χ2=159.472)showed gradually increasing trends(both P<0.05).At 48 weeks of treatment,treatment history(odds ratio[OR]=0.232,95%confidence interval[CI]:0.071-0.753),baseline HBsAg level(OR=13.423,95%CI:3.276-54.997),the extent of decrease in HBsAg from baseline after 12 weeks of treatment(OR=0.143,95%CI:0.040-0.515),the maximum ALT level during treatment(OR=0.986,95%CI:0.980-0.993),and the minimum TSH level during treatment(OR=3.281,95%CI:1.413-7.619)were independent factors affecting HBsAg clearance(all P<0.05).A combined predictive model for HBsAg clearance was built:Y=-1.603-1.462×treatment history+2.597×baseline HBsAg value-1.944×the extent of HBsAg reduction from baseline after 12 weeks of treatment-0.014×the maximum ALT value during treatment+1.188×the minimum TSH value during treatment.The diagnostic value of the individual indicators for HBsAg clearance from high to low was as following:the maximum ALT value during treatment(AUC=0.824),baseline HBsAg value(AUC=0.727),the minimum TSH value during treatment(AUC=0.707),the extent of HBsAg reduction from baseline after 12 weeks of treatment(AUC=0.641),and treatment history(AUC=0.636).The combined model showed better predictive performance than the individual indicators,with the AUC being 0.921(all P<0.05).Conclusion The combined model,constructed with baseline HBsAg value,the extent of HBsAg reduction from baseline after 12 weeks of treatment,the maximum ALT value during treatment,and the minimum TSH value during treatment,has high predictive value for the occurrence of HBsAg clearance in patients with HBeAg-negative CHB after 48 weeks of treatment with PEG-IFN-α-2b,which can provide a reference for identifying suitable patients for treatment and predicting clinical outcome.

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