1.Efficacy and safety of coblopasvir hydrochloride combined with sofosbuvir in treatment of patients with genotype 3 hepatitis C virus infection
Yingyuan ZHANG ; Huan MU ; Danqing XU ; Chunyan MOU ; Yuanzhen WANG ; Chunyun LIU ; Weikun LI ; Li LIU
Journal of Clinical Hepatology 2025;41(6):1075-1082
ObjectiveTo investigate the efficacy and safety of the direct-acting antiviral agents coblopasvir hydrochloride/sofosbuvir (CLP/SOF) regimen used alone or in combination with ribavirin (RBV) in the treatment of patients with genotype 3 hepatitis C virus (HCV) infection in terms of virologic response rate, liver function recovery, improvement in liver stiffness measurement (LSM), and adverse drug reactions, and to provide a reference for clinical medication. MethodsA total of 98 patients with genotype 3 HCV infection who attended The Third People’s Hospital of Kunming from January 2022 to December 2023 were enrolled, and according to the treatment method, the patients were divided into CLP/SOF+RBV treatment group with 55 patients and CLP/SOF treatment group with 43 patients. The patients were observed in terms of rapid virologic response at week 4 (RVR4), sustained virologic response (SVR), previous treatment experience, underlying diseases, laboratory and imaging indicators, and adverse reactions during treatment. The course of treatment was 12 weeks, and the patients were followed up for 12 weeks after drug withdrawal. 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 Friedman test was used for comparison within each group at different time points, and the Bonferroni method was used for further comparison and correction of P value; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The univariate and multivariate Logistic regression analyses were used to investigate the influencing factors for SVR12. ResultsBefore treatment, there were significant differences between the CLP/SOF+RBV treatment group and the CLP/SOF treatment group in terms of LSM, total bilirubin (TBil), gamma-glutamyl transpeptidase (GGT), HCV genotype, and the presence or absence of liver cirrhosis and compensation (all P<0.05). The 98 patients with genotype 3 HCV infection had an RVR4 rate of 81.6% and an SVR12 rate of 93.9%. The patients with genotype 3a HCV infection had an RVR4 rate of 84.44% and an SVR12 rate of 97.78%, while the patients with genotype 3b HCV infection had an RVR4 rate of 79.25% and an SVR12 rate of 90.57%. There were significant differences in RVR4 and SVR12 rates between the patients without hepatocellular carcinoma and those with hepatocellular carcinoma, there was a significant difference in RVR4 rate between the patients without HIV infection and those with HIV infection, and there was a significant difference in SVR12 rate between the previously untreated patients and the treatment-experienced patients (all P<0.05). The univariate Logistic regression analysis showed that treatment history, hypertension, hepatocellular carcinoma, ascites, albumin (Alb), and platelet count were influencing factors for SVR12 (all P<0.05), and the multivariate Logistic regression analysis showed that hepatocellular carcinoma (odds ratio=0.034, 95% confidence interval: 0.002 — 0.666, P=0.026) was an independent influencing factor for SVR12. After treatment with CLP/SOF combined with RBV or CLP/SOF alone, the patients with genotype 3 HCV infection showed gradual reductions in the liver function parameters of TBil, GGT, and alanine aminotransferase (all P<0.05) and a gradual increase in the level of Alb (P<0.05). As for renal function, there were no significant changes in blood urea nitrogen and creatinine after treatment (P>0.05). For the patients with or without liver cirrhosis, there was a significant reduction in LSM from baseline after treatment for 12 weeks (P<0.05). Among the 98 patients with genotype 3 HCV infection, 9 tested positive for HCV-RNA at 12 weeks after treatment, 2 showed no response during treatment, 4 showed virologic breakthrough, and 3 experienced recurrence. The overall incidence rate of adverse events during treatment was 17.35% for all patients. ConclusionCLP/SOF alone or in combination with RBV has a relatively high SVR rate in the treatment of genotype 3 HCV infection, with good tolerability and safety in patients during treatment, and therefore, it holds promise for clinical application.
2.Risk factors for concurrent hepatic hydrothorax before intervention in primary liver cancer and construction of a nomogram prediction model
Yuanzhen WANG ; Renhai TIAN ; Yingyuan ZHANG ; Danqing XU ; Lixian CHANG ; Chunyun LIU ; Li LIU
Journal of Clinical Hepatology 2025;41(1):75-83
ObjectiveTo investigate the influencing factors for hepatic hydrothorax (HH) before intervention for primary hepatic carcinoma (PHC), and to construct and assess the nomogram risk prediction model. MethodsA retrospective analysis was performed for the clinical data of 353 hospitalized patients who attended the Third People’s Hospital of Kunming for the first time from October 2012 to October 2021 and there diagnosed with PHC, and according to the presence or absence of HH, they were divided into HH group with 153 patients and non-HH group with 200 patients. General data and the data of initial clinical testing after admission were collected from all PHC patients. 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 groups. After the multicollinearity test was performed for the variables with statistical significance determined by the univariate analysis, the multivariate Logistic regression analysis was used to identify independent influencing factors. The “rms” software package was used to construct a nomogram risk prediction model, and the Hosmer-Lemeshow test and the receiver operating characteristic (ROC) curve were used to assess the risk prediction model; the “Calibration Curves” software package was used to plot the calibration curve, and the “rmda” software package was used to plot the clinical decision curve and the clinical impact curve. ResultsAmong the 353 patients with PHC, there were 153 patients with HH, with a prevalence rate of 43.34%. Child-Pugh class B (odds ratio [OR]=2.652, 95% confidence interval [CI]: 1.050 — 6.698, P=0.039), Child-Pugh class C (OR=7.963, 95%CI: 1.046 — 60.632, P=0.045), total protein (OR=0.947, 95%CI: 0.914 — 0.981, P=0.003), high-sensitivity C-reactive protein (OR=1.007, 95%CI: 1.001 — 1.014, P=0.025), and interleukin-2 (OR=0.801, 95%CI: 0.653 — 0.981, P=0.032) were independent influencing factors for HH before PHC intervention, and a nomogram risk prediction model was established based on these factors. The Hosmer-Lemeshow test showed that the model had a good degree of fitting (χ2=5.006, P=0.757), with an area under the ROC curve of 0.752 (95%CI: 0.701 — 0.803), a sensitivity of 78.40%, and a specificity of 63.50%. The calibration curve showed that the model had good consistency in predicting HH before PHC intervention, and the clinical decision curve and the clinical impact curve showed that the model had good clinical practicability within a certain threshold range. ConclusionChild-Pugh class, total protein, interleukin-2, and high-sensitivity C-reactive protein are independent influencing factors for developing HH before PHC intervention, and the nomogram model established based on these factors can effectively predict the risk of developing HH.
3.Influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis
Danqing XU ; Huan MU ; Yingyuan ZHANG ; Lixian CHANG ; Yuanzhen WANG ; Weikun LI ; Zhijian DONG ; Lihua ZHANG ; Yijing CHENG ; Li LIU
Journal of Clinical Hepatology 2025;41(2):269-276
ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis, and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January, 2019 to December, 2022 were enrolled, among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group, and 154 patients without recompensation were enrolled as control group. Related clinical data were collected, and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis, and the receiver operating characteristic (ROC) curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis, 63 (29.03%) had recompensation. There were significant differences between the recompensation group and the control group in HIV history (χ2=4.566, P=0.034), history of partial splenic embolism (χ2=6.687, P=0.014), Child-Pugh classification (χ2=11.978, P=0.003), grade of ascites (χ2=14.229, P<0.001), albumin (t=4.063, P<0.001), prealbumin (Z=-3.077, P=0.002), high-density lipoprotein (t=2.854, P=0.011), high-sensitivity C-reactive protein (Z=-2.447, P=0.014), prothrombin time (Z=-2.441, P=0.015), carcinoembryonic antigen (Z=-2.113, P=0.035), alpha-fetoprotein (AFP) (Z=-2.063, P=0.039), CA125 (Z=-2.270, P=0.023), TT3 (Z=-3.304, P<0.001), TT4 (Z=-2.221, P=0.026), CD45+ (Z=-2.278, P=0.023), interleukin-5 (Z=-2.845, P=0.004), tumor necrosis factor-α (Z=-2.176, P=0.030), and portal vein width (Z=-5.283, P=0.005). The multivariate analysis showed that history of partial splenic embolism (odds ratio [OR]=3.064, P=0.049), HIV history (OR=0.195, P=0.027), a small amount of ascites (OR=3.390, P=0.017), AFP (OR=1.003, P=0.004), and portal vein width (OR=0.600, P<0.001) were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history, grade of ascites, history of partial splenic embolism, AFP, portal vein width, and the combined predictive model of these indices had an area under the ROC curve of 0.556, 0.641, 0.560, 0.589, 0.745, and 0.817, respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis, those with a history of partial splenic embolism, a small amount of ascites, and an increase in AFP level are more likely to experience recompensation, while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.
4.Value of FibroScan, gamma-glutamyl transpeptidase-to-platelet ratio, S index, interleukin-6, and tumor necrosis factor-α in the diagnosis of HBeAg-positive chronic hepatitis B liver fibrosis
Yingyuan ZHANG ; Danqing XU ; Huan MU ; Chunyan MOU ; Lixian CHANG ; Yuanzhen WANG ; Hongyan WEI ; Li LIU ; Weikun LI ; Chunyun LIU
Journal of Clinical Hepatology 2025;41(4):670-676
ObjectiveTo investigate the value of noninvasive imaging detection (FibroScan), two serological models of gamma-glutamyl transpeptidase-to-platelet ratio (GPR) score and S index, and two inflammatory factors of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) in predicting liver fibrosis in patients with HBeAg-positive chronic hepatitis B (CHB), as well as the consistency of liver biopsy in pathological staging, and to provide early warning for early intervention of CHB. MethodsA retrospective analysis was performed for 131 HBeAg-positive CHB patients who underwent liver biopsy in The Third People’s Hospital of Kunming from January 2019 to December 2023. The results of liver biopsy were collected from all patients, and related examinations were performed before liver biopsy, including total bilirubin, alanine aminotransferase, platelet count, gamma-glutamyl transpeptidase, albumin, IL-6, TNF-α, liver stiffness measurement (LSM), and abdominal ultrasound. An analysis of variance was used for comparison of normally distributed continuous data between groups, and the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups; the chi-square test was used for comparison of categorical data between groups. A Kappa analysis was used to investigate the consistency between LSM noninvasive histological staging and pathological staging based on liver biopsy, and the Spearman analysis was used to investigate the correlation between each variable and FibroScan in the diagnosis of liver fibrosis stage. The Logistic regression analysis was used to construct joint predictive factors. The receiver operating characteristic (ROC) curve was used to evaluate the value of each indicator alone and the joint predictive model in the diagnosis of liver fibrosis, and the Delong test was used for comparison of the area under the ROC curve (AUC). ResultsIn the consistency check, inflammation degree based on liver biopsy had a Kappa value of 0.807 (P<0.001), and liver fibrosis degree based on liver biopsy had a Kappa value of 0.827 (P<0.001), suggesting that FibroScan noninvasive histological staging and liver biopsy showed good consistency in assessing inflammation degree and liver fibrosis stage. Age was positively correlated with LSM, GPR score, S index, IL-6, and TNF-α (all P<0.05), and GPR score, S index, IL-6, and TNF-α were positively correlated with LSM (all P<0.05). GPR score, S index, IL-6, and TNF-α were all independent risk factors for diagnosing significant liver fibrosis (≥S2) and progressive liver fibrosis (≥S3) (all P<0.05). As for each indicator alone, GPR score had the highest value in the diagnosis of significant liver fibrosis (≥S2), followed by S index, IL-6, and TNF-α, while S index had the highest value in the diagnosis of progressive liver fibrosis (≥S3), followed by GPR score, TNF-α, and IL-6. The joint model had a higher predictive value than each indicator alone (all P<0.05). ConclusionThere is a good consistency between FibroScan noninvasive histological staging and pathological staging based on liver biopsy. GPR score, S index, IL-6, and TNF-α are independent risk factors for evaluating different degree of liver fibrosis in CHB, and the combined prediction model established by them can better diagnose liver fibrosis.
5.Force-induced Caspase-1-dependent pyroptosis regulates orthodontic tooth movement.
Liyuan CHEN ; Huajie YU ; Zixin LI ; Yu WANG ; Shanshan JIN ; Min YU ; Lisha ZHU ; Chengye DING ; Xiaolan WU ; Tianhao WU ; Chunlei XUN ; Yanheng ZHOU ; Danqing HE ; Yan LIU
International Journal of Oral Science 2024;16(1):3-3
Pyroptosis, an inflammatory caspase-dependent programmed cell death, plays a vital role in maintaining tissue homeostasis and activating inflammatory responses. Orthodontic tooth movement (OTM) is an aseptic force-induced inflammatory bone remodeling process mediated by the activation of periodontal ligament (PDL) progenitor cells. However, whether and how force induces PDL progenitor cell pyroptosis, thereby influencing OTM and alveolar bone remodeling remains unknown. In this study, we found that mechanical force induced the expression of pyroptosis-related markers in rat OTM and alveolar bone remodeling process. Blocking or enhancing pyroptosis level could suppress or promote OTM and alveolar bone remodeling respectively. Using Caspase-1-/- mice, we further demonstrated that the functional role of the force-induced pyroptosis in PDL progenitor cells depended on Caspase-1. Moreover, mechanical force could also induce pyroptosis in human ex-vivo force-treated PDL progenitor cells and in compressive force-loaded PDL progenitor cells in vitro, which influenced osteoclastogenesis. Mechanistically, transient receptor potential subfamily V member 4 signaling was involved in force-induced Caspase-1-dependent pyroptosis in PDL progenitor cells. Overall, this study suggested a novel mechanism contributing to the modulation of osteoclastogenesis and alveolar bone remodeling under mechanical stimuli, indicating a promising approach to accelerate OTM by targeting Caspase-1.
Animals
;
Humans
;
Mice
;
Rats
;
Bone Remodeling/physiology*
;
Caspase 1
;
Periodontal Ligament
;
Pyroptosis
;
Tooth Movement Techniques
6.Force-induced Caspase-1-dependent pyroptosis regulates orthodontic tooth movement
Chen LIYUAN ; Yu HUAJIE ; Li ZIXIN ; Wang YU ; Jin SHANSHAN ; Yu MIN ; Zhu LISHA ; Ding CHENGYE ; Wu XIAOLAN ; Wu TIANHAO ; Xun CHUNLEI ; Zhou YANHENG ; He DANQING ; Liu YAN
International Journal of Oral Science 2024;16(2):238-250
Pyroptosis,an inflammatory caspase-dependent programmed cell death,plays a vital role in maintaining tissue homeostasis and activating inflammatory responses.Orthodontic tooth movement(OTM)is an aseptic force-induced inflammatory bone remodeling process mediated by the activation of periodontal ligament(PDL)progenitor cells.However,whether and how force induces PDL progenitor cell pyroptosis,thereby influencing OTM and alveolar bone remodeling remains unknown.In this study,we found that mechanical force induced the expression of pyroptosis-related markers in rat OTM and alveolar bone remodeling process.Blocking or enhancing pyroptosis level could suppress or promote OTM and alveolar bone remodeling respectively.Using Caspase-1-/-mice,we further demonstrated that the functional role of the force-induced pyroptosis in PDL progenitor cells depended on Caspase-1.Moreover,mechanical force could also induce pyroptosis in human ex-vivo force-treated PDL progenitor cells and in compressive force-loaded PDL progenitor cells in vitro,which influenced osteoclastogenesis.Mechanistically,transient receptor potential subfamily V member 4 signaling was involved in force-induced Caspase-1-dependent pyroptosis in PDL progenitor cells.Overall,this study suggested a novel mechanism contributing to the modulation of osteoclastogenesis and alveolar bone remodeling under mechanical stimuli,indicating a promising approach to accelerate OTM by targeting Caspase-1.
7.Research on the Collaboration and Combination of Global Budget and Case-based Payment Based on Theoretical Analysis and Regional Experience
Chenhan SUN ; Danqing QIAN ; Xinhui WANG ; Min HU
Chinese Health Economics 2024;43(7):32-35,51
China's healthcare payment reform seeks to combine a medical insurance point-system with a global budget.The focus and difficulty in implementing the payment reform is how to make effectively link.On the basis of theoretical analysis,it selects the regions that have implemented the payment by disease under regional total budget and the payment by disease under institutional total budget,and summarizes the synergistic mechanism of total budget and payment by disease,including the strict control of total budget at the regional level,the reasonable setup of the budget or the standard of expected service volume at the institutional level,and the rate fluctuation and discount mechanism for the settlement of excess service;and further sort out the additional incentive mechanism to support innovation and quality enhancement under the background of the total budget and the payment by disease.Lessons can be drawn from the experiences of typical regions to strengthen the synergy between regional budgets,institutional budgets and payment by type of disease,and cautiously deal with the risks of excessive competition and"punching points"that may arise from the regional point method.
8.Force-induced Caspase-1-dependent pyroptosis regulates orthodontic tooth movement
Chen LIYUAN ; Yu HUAJIE ; Li ZIXIN ; Wang YU ; Jin SHANSHAN ; Yu MIN ; Zhu LISHA ; Ding CHENGYE ; Wu XIAOLAN ; Wu TIANHAO ; Xun CHUNLEI ; Zhou YANHENG ; He DANQING ; Liu YAN
International Journal of Oral Science 2024;16(2):238-250
Pyroptosis,an inflammatory caspase-dependent programmed cell death,plays a vital role in maintaining tissue homeostasis and activating inflammatory responses.Orthodontic tooth movement(OTM)is an aseptic force-induced inflammatory bone remodeling process mediated by the activation of periodontal ligament(PDL)progenitor cells.However,whether and how force induces PDL progenitor cell pyroptosis,thereby influencing OTM and alveolar bone remodeling remains unknown.In this study,we found that mechanical force induced the expression of pyroptosis-related markers in rat OTM and alveolar bone remodeling process.Blocking or enhancing pyroptosis level could suppress or promote OTM and alveolar bone remodeling respectively.Using Caspase-1-/-mice,we further demonstrated that the functional role of the force-induced pyroptosis in PDL progenitor cells depended on Caspase-1.Moreover,mechanical force could also induce pyroptosis in human ex-vivo force-treated PDL progenitor cells and in compressive force-loaded PDL progenitor cells in vitro,which influenced osteoclastogenesis.Mechanistically,transient receptor potential subfamily V member 4 signaling was involved in force-induced Caspase-1-dependent pyroptosis in PDL progenitor cells.Overall,this study suggested a novel mechanism contributing to the modulation of osteoclastogenesis and alveolar bone remodeling under mechanical stimuli,indicating a promising approach to accelerate OTM by targeting Caspase-1.
9.Construction of a prediction model for preterm birth risk
WANG Qiong ; CHEN Danqing ; WEI Yili ; QIAN Fangfang
Journal of Preventive Medicine 2024;36(8):663-668
Objective:
To construct a prediction model for preterm birth risk among pregnant women, so as to provide the reference for screening high-risk population and preventing preterm birth.
Methods:
Pregnant women who received antenatal examination and delivered at the Women's Hospital, School of Medicine, Zhejiang University from January 1 to December 31, 2019 were selected as the study subjects, among them, 80% were included in the modeling group, and 20% were included in the validation group. Demographic and clinical information were collected. A multivariable logistic regression model was used to analyze the predictive factors of preterm birth risk in the modeling group, and a preterm birth risk prediction model was established based on the OR values of predictive factors. The model was validated with the data from the validation group. The Youden index was used to determine the critical score for predicting preterm birth risk. The prediction performance of the model was evaluated using the receiver operating characteristic (ROC) curve.
Results:
A total of 15 197 pregnant women were surveyed, including 12 131 pregnant women in the observation group and 3 066 pregnant women in the validation group. There was no statistically significant difference in age, education level and gravidity between the two groups of pregnant women (all P<0.05). Multivariable logistic regression analysis identified the number of pregnancies, education level, place of residence, hypertension, diabetes, history of preterm birth, twin-pregnancy, placenta praevia, and gestational hypertension as risk prediction factors for preterm birth risk among pregnant women. The risk score system for preterm birth was established as follows: >2 pregnancies (2 points), high school education or below (4 points), college degree or above (-4 points), rural residence (5 points), hypertension (7 points), diabetes (11 points), history of preterm birth (11 points), twin-pregnancy (28 points), placenta previa (19 points), and gestational hypertension (12 points). The total score of the preterm birth risk scoring system ranged from -4 to 99 points. When the critical score was 8 points, the Youden index was the highest at 0.480, with an area under the ROC curve of 0.749 (95%CI: 0.732-0.767), a sensitivity of 0.610, and a specificity of 0.886, indicating good prediction performance of the model.
Conclusion
The preterm birth risk prediction model established in this study based on demographic and clinical characteristics of pregnant women can effectively predict the risk of preterm birth among pregnant women.
10.Force-induced Caspase-1-dependent pyroptosis regulates orthodontic tooth movement
Chen LIYUAN ; Yu HUAJIE ; Li ZIXIN ; Wang YU ; Jin SHANSHAN ; Yu MIN ; Zhu LISHA ; Ding CHENGYE ; Wu XIAOLAN ; Wu TIANHAO ; Xun CHUNLEI ; Zhou YANHENG ; He DANQING ; Liu YAN
International Journal of Oral Science 2024;16(2):238-250
Pyroptosis,an inflammatory caspase-dependent programmed cell death,plays a vital role in maintaining tissue homeostasis and activating inflammatory responses.Orthodontic tooth movement(OTM)is an aseptic force-induced inflammatory bone remodeling process mediated by the activation of periodontal ligament(PDL)progenitor cells.However,whether and how force induces PDL progenitor cell pyroptosis,thereby influencing OTM and alveolar bone remodeling remains unknown.In this study,we found that mechanical force induced the expression of pyroptosis-related markers in rat OTM and alveolar bone remodeling process.Blocking or enhancing pyroptosis level could suppress or promote OTM and alveolar bone remodeling respectively.Using Caspase-1-/-mice,we further demonstrated that the functional role of the force-induced pyroptosis in PDL progenitor cells depended on Caspase-1.Moreover,mechanical force could also induce pyroptosis in human ex-vivo force-treated PDL progenitor cells and in compressive force-loaded PDL progenitor cells in vitro,which influenced osteoclastogenesis.Mechanistically,transient receptor potential subfamily V member 4 signaling was involved in force-induced Caspase-1-dependent pyroptosis in PDL progenitor cells.Overall,this study suggested a novel mechanism contributing to the modulation of osteoclastogenesis and alveolar bone remodeling under mechanical stimuli,indicating a promising approach to accelerate OTM by targeting Caspase-1.


Result Analysis
Print
Save
E-mail