1.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
2.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
3.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
4.Effects of External Counterpulsation on Typical Coronary Artery Diseases:A Lumped Parameter Model Study
Bitian WANG ; Zhujun SUN ; Yawei WANG ; Hanhao LIU ; Guifu WU ; Yubo FAN
Journal of Medical Biomechanics 2024;39(1):24-31
		                        		
		                        			
		                        			Objective To study the hemodynamic effects of enhanced external counter pulsation(EECP)on typical coronary artery disease and microcirculation angina.Methods A physiological model of the right dominant coronary artery,including the coronary conduit arteries and coronary microcirculation,was established using lumped parameter models.Pathological conditions,such as one-vessel lesions,three-vessel lesions,and microcirculation angina,were simulated.EECP intervention models were established,and the hemodynamic effects of EECP on pathological models was simulated.Results The simulation results of the coronary physiological model,pathological models,and EECP intervention model established in this study were consistent with experimental data in related literature.EECP improved coronary blood flow in all three pathological conditions.For one-vessel lesions,EECP could not recover the blood flow of left main coronary artery to a normal level after the stenosis rate reached 80%-85%.For three-vessel lesions,EECP treatment could not be used if the stenosis rate in one of the three vessels exceeded 90%.For microcirculation angina,EECP was effective when critical condition myocardial blood flow was>1.03 mL/min·g and coronary flow reserve was>1.64.Conclusions The model of coronary disease under EECP interference established in this study meets expectations,and the obtained simulation data have certain reference values for the clinical application of EECP.
		                        		
		                        		
		                        		
		                        	
5.Effect of ganoderic acid A on a mouse model of concanavalin A-induced acute immune liver injury and its mechanism
Yi CUI ; Fengjie QIAO ; Jiahao QIU ; Yufei LIU ; Zhujun GAO ; Zhi SHANG ; Yueqiu GAO
Journal of Clinical Hepatology 2024;40(12):2415-2423
		                        		
		                        			
		                        			ObjectiveTo investigate the therapeutic effect of ganoderic acid A (GA-A) on a mouse model of concanavalin A (ConA)-induced autoimmune hepatitis (AIH). MethodsA total of 35 mice were randomly divided into control group (NC group), model group (ConA group), and low-, middle-, and high-dose GA-A treatment groups (GA-A-L, GA-A-M, and GA-A-H groups, respectively), with 7 mice in each group. ConA was injected via the caudal vein of mice to establish a classic mouse model of AIH, and different doses of GA-A were administered via intraperitoneal injection 1 hour later for treatment. Proteomic techniques were used to investigate the protective mechanism of GA-A on hepatocytes, and HL-60 cells were differentiated into dHL-60 neutrophils by all-trans retinoic acid in vitro to validate the mechanism of action of GA-A. Related indicators were measured, including inflammatory markers (the activities of serum alanine aminotransferase [ALT] and aspartate aminotransferase [AST], HE staining, and inflammation-related genes), apoptosis markers (TUNEL staining), neutrophils, and neutrophil extracellular trap (NET) markers (myeloperoxidase [MPO], citrullinated histone H3 [CitH3], Ly6G, and free double-stranded DNA [dsDNA]), and p38 phosphorylation markers. The independent samples t-test was used for comparison of continuous data between two groups; a one-way analysis of variance was used for comparison between multiple groups, and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the NC group, the ConA group had significant increases in the serum levels of ALT and AST (both P<0.001), and compared with the ConA group, GA-A treatment significantly reduced the levels of ALT and AST (both P<0.01). HE staining showed that the mice in the ConA group had significant liver necrosis, while GA-A treatment significantly reduced the area of liver necrosis and the number of TUNEL-positive cells (both P<0.05). Compared with the ConA group, the GA-A group had significant reductions in the expression levels of the inflammatory factors interleukin-6, tumor necrosis factor-α, and interferon gamma in serum and liver tissue (all P<0.05). The proteomic analysis showed that GA-A alleviated ConA-induced acute immune liver injury by inhibiting the release of NET and the p38 MAPK pathway. Immunofluorescent staining of mouse liver tissue showed that compared with the ConA group, the GA-A group had significant reductions in the number of MPO-positive neutrophils and the number of cells with positive Ly6G and CitH3 (all P<0.01). Western Blot and dsDNA testing showed that GA-A significantly inhibited the levels of the NET markers dsDNA and CitH3 and the level of p38 phosphorylation in liver tissue and dHL-60 cells (all P<0.05). ConclusionGA-A alleviates liver inflammatory response and hepatocyte death by inhibiting the p38 MAPK pathway and the release of NET, thereby alleviating ConA-induced acute immune liver injury. This study provides a theoretical basis for the use of GA-A to treat immune liver injury by regulating neutrophil function. 
		                        		
		                        		
		                        		
		                        	
7.Comparison of magnetically controlled capsule gastroscopy and conventional gastroscopy for gastric and duodenal examination of children
Zhujun GU ; Haifeng LIU ; Kai LIN ; Yuling FENG ; Zhihong HU
Chinese Journal of Digestive Endoscopy 2023;40(5):348-353
		                        		
		                        			
		                        			Objective:To investigate the clinical application value and safety of magnetically controlled capsule gastroscopy (MCCG) in gastric and duodenal examination of children in comparison with conventional gastroscopy.Methods:Data of 160 outpatients or inpatients with abdominal pain accompanied by Helicobacter pylori infection aged 8-16 who underwent either MCCG or conventional gastroscopy in Shanghai Children's Hospital from March 2020 to March 2022 were retrospectively analyzed. Children were divided into the MCCG group ( n=80) and the conventional gastroscopy group ( n=80) according to different examination methods. The detection and examination time of lesions in upper gastrointestinal tract, tolerance and safety between the two groups were analyzed. Results:MCCG was successfully performed in 79 children and conventional gastroscopy was successfully performed in 78 children, respectively. The positive detection rates were 1.3% (1/79) and 1.3% (1/78) in the esophagus ( χ2=0.000, P>0.999), 87.3% (69/79) and 91.0% (71/78) in the stomach ( χ2=0.552, P=0.327) , 15.2% (12/79) and 19.2% (15/78) in duodenum ( χ2=0.450, P=0.533) with no significant difference between the two groups. There was no significant difference in the examination time [72.0 (41.0, 109.5) min VS 6.0 (4.3, 7.0) min, U=24, P<0.001] in the MCCG group and the conventional gastroscopy group. No adverse event occurred in either group. Conclusion:There is no significant difference in the detection rate of gastric and duodenal lesions between the MCCG group and the conventional gastroscopy group. MCCG is safe and stable, and can be used as an diagnostic tool for gastric and duodenal diseases in children.
		                        		
		                        		
		                        		
		                        	
8.Principles for the rational use of national key monitoring drugs (the second batch)
Yuan BIAN ; Min CHEN ; Shan DU ; Wenyuan LI ; Lizhu HAN ; Qinan YIN ; Xiaojiao CUI ; Xuefei HUANG ; Zhujun CHEN ; Yang LEI ; Yingying HOU ; Xiaoqing YI ; Yueyuan WANG ; Xi ZHENG ; Xinxia LIU ; Ziyan LYU ; Yue WU ; Lian LI ; Xingyue ZHENG ; Liuyun WU ; Junfeng YAN ; Rongsheng TONG
China Pharmacy 2023;34(20):2433-2453
		                        		
		                        			
		                        			In order to strengthen the supervision of the use of drugs in hospitals,the Sichuan Academy of Medical Sciences· Sichuan Provincial People’s Hospital took the lead in compiling the Principles for the Rational Use of National Key Monitoring Drugs (the Second Batch) with a number of experts from multiple medical units in accordance with the Second Batch of National Key Monitoring Rational Drug Use List (hereinafter referred to as “the List”) issued by the National Health Commission. According to the method of the WHO Guidelines Development Manual, the writing team used the Delphi method to unify expert opinions by reading and summarizing the domestic and foreign literature evidence of related drugs, and applied the evaluation, formulation and evaluation method of recommendation grading (GRADE) to evaluate the quality of evidence formed, focusing on more than 30 drugs in the List about the evaluation of off-label indications of drugs, key points of rational drug use and key points of pharmaceutical monitoring. It aims to promote the scientific standardization and effective management of clinical medication, further improve the quality of medical services, reduce the risk of adverse drug reactions and drug abuse, promote rational drug use, and improve public health.
		                        		
		                        		
		                        		
		                        	
9.Clinical prediction model for complicated appendicitis in children under five years old
Tianming WANG ; Guoqin ZHANG ; Tingjun LI ; Jiahu HUANG ; Zhagen WANG ; Huiwen TANG ; Zhujun GU ; Jian LIU ; Xingyuan LIU
Chinese Pediatric Emergency Medicine 2023;30(4):286-290
		                        		
		                        			
		                        			Objective:To retrospectively analyze the independent risk factors of complicated appendicitis(CA)in children under five years old and establish a clinical prediction model, and to evaluate the clinical application of this model.Methods:A retrospective analysis was performed on children under five years old who underwent appendectomy at Children′s Hospital of Shanghai Jiao Tong University School of Medicine from January 2018 to December 2021.The children were divided into CA group and uncomplicated appendicitis group according to whether there was sign of perforation or gangrene in appendiceal tissue after operation.The differences in clinical features and preoperative laboratory test results between two groups were compared.The independent risk factors of CA were identified and a clinical prediction model was established.The clinical prediction model was verified by receiver operating characteristic curve.Results:A total of 140 children were enrolled in this study, including 84 cases in the CA group and 56 cases in uncomplicated appendicitis group.Univariate and binary Logistic regression analysis showed that the duration of symptoms>23.5 h( OR=6.650, 95% CI 2.469-17.912, P<0.05), abdominal muscle tension( OR=3.082, 95% CI 1.190-7.979, P<0.05) and C-reactive protein>41 mg/L ( OR=3.287, 95% CI 1.274-8.480, P<0.05) were independent risk factors for CA( P<0.05). The clinical prediction model of CA was constructed by the above mentioned three independent risk factors.The area under the receiver operating characteristic curve of the clinical prediction model was 0.881(95% CI 0.825-0.936), the sensitivity was 77.4%, the specificity was 87.5%, the positive predictive value was 91.3% and the negative predictive value was 70.0%. Conclusion:Acute appendicitis in children under five years old is more likely to progress to CA if the duration of symptoms>23.5 h, the level of C-reactive protein is increased, and the abdominal muscle tension is accompanied.The clinical prediction model of CA constructed by common clinical information in pediatric clinics has good prediction efficiency, which provides a simple and feasible reference method for clinicians to distinguish CA from uncomplicated appendicitis.
		                        		
		                        		
		                        		
		                        	
10.Construction and application of a decision tree model for children with complicated appendicitis
Jiahu HUANG ; Guoqin ZHANG ; Quansheng YU ; Jian LIU ; Zhagen WANG ; Tingjun LI ; Lulu ZHENG ; Zhujun GU
Journal of Chinese Physician 2023;25(2):202-206,211
		                        		
		                        			
		                        			Objective:To establish a decision tree model of pediatric complicated appendicitis (CA) based on Pediatric Appendicitis Score (PAS) combined with inflammatory indicators, and to evaluate its clinical application efficacy in pediatrics.Methods:The clinical data of 544 children diagnosed with appendicitis in Children′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2018 to December 2021 was retrospectively analyzed. According to postoperative pathology, the children were divided into uncomplicated appendicitis group and CA group. The independent risk factors of CA were screened by univariate and multivariate logistic regression analysis, and these parameters were included to establish the decision tree model. The accuracy of the decision tree model was verified by receiver operating characteristic (ROC) curve.Results:Binary logistic regression analysis indicated that the PAS, C-reactive protein (CRP) and neutrophil to lymphocyte ratio (NLR) were identified as independent risk factors for complicated appendicitis in children (all P<0.05). PAS, CRP and NLR were included as covariables to construct the decision tree model and binary logistic regression model for predicting CA. The decision tree demonstrated an overall accuracy of 79.2% with a sensitivity of 86.7% and specificity of 71.9%, and achieved an area under curve (AUC) of 0.821(95% CI: 0.786-0.857). The binary logistic regression model had a sensitivity of 79.6% and specificity of 69.1%, with an overall accuracy of 75.1% and achieved an AUC of 0.808(95% CI: 0.770-0.845). Conclusions:The decision tree model based on PAS score combined with CRP, NLR is a simple, intuitive and effective tool , which can provide pediatric emergency physicians a reliable basis for diagnosis of pediatric CA.
		                        		
		                        		
		                        		
		                        	
            
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