1.Correspondence to editorial on “Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)”
Chuan LIU ; Ling YANG ; Hong YOU ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(2):e155-e157
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.Correspondence to editorial on “Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)”
Chuan LIU ; Ling YANG ; Hong YOU ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(2):e155-e157
4.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.
5.Correspondence to editorial on “Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)”
Chuan LIU ; Ling YANG ; Hong YOU ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(2):e155-e157
6.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.
7.Analysis of Breastfeeding Duration and Influencing Factors of Children Aged 0-5 Years in Yunnan Province
Zhonghua AI ; You HUANG ; Xianglong ZHU ; Yanchun GAO ; Songyuan TANG ; Rui PAN
Journal of Kunming Medical University 2024;45(2):112-116
Objective To understand the current situation of breastfeeding duration in children aged 0-5 years in Yunnan Province,and to explore the influencing factors of breastfeeding duration.Methods Using the data of the 6th National Health Service Survey in Yunnan Province,1582 children aged 0~5 years in Yunnan Province were selected as the research subjects,and the Kaplan-Meier method and Cox regression were used to analyze the influencing factors of breastfeeding duration.Results The mean duration of breastfeeding for children aged 0~5 years in Yunnan Province was 9.29 months,and region,time of complementary food addition,time of suckling and family income were the main factors influencing the duration of breastfeeding.Conclusion The duration of breastfeeding for children aged 0~5 years in Yunnan Province deviates significantly from the recommendations provided by both the World Health Organization(WHO)and China's child breastfeeding guidelines.Given the current situation,the relevant departments must enhance their focus on this issue.
8.Three-dimensional liver-on-a-chip model for hepatotoxicity screening of traditional Chinese medicine
Yu HOU ; Tian LÜ ; Zhao GAO ; Peng-fei TU ; Xiao-ni AI ; Yong JIANG
Acta Pharmaceutica Sinica 2024;59(6):1787-1793
A high-throughput three-dimensional (3D) hepatocyte culture model is constructed in this study. It is capable of replicating the 3D
9.Mechanism of Guilingji to prevent the mild cognitive impairment in rats based on kidney metabonomics
Jing-chao SHI ; Yu-kun WANG ; Shu-ting YU ; Ai-rong ZHANG ; Xiao-xia GAO ; Xue-mei QIN
Acta Pharmaceutica Sinica 2024;59(4):1017-1027
This study used kidney metabolomics to investigate the underlying mechanisms of Guilingji (GLJ) on mild cognitive impairment (MCI) rats. The rats were randomly divided into 6 groups (
10.Comparative analysis of the efficacy of RAPN and LPN in treating tumors in isolated kidney
Bin JIANG ; Yin LU ; Xupeng ZHAO ; Qiang CHENG ; Qing AI ; Fan GAO ; Hongzhao LI
Chinese Journal of Urology 2024;45(1):6-11
Objective:To compare the outcomes of robot-assisted laparoscopic partial nephrectomy (RAPN) and laparoscopic partial nephrectomy (LPN) in the treatment of tumors in isolated kidney, and analyze the factors influencing postoperative renal function and long-term survival in patients.Methods:A retrospective analysis was conducted on clinical data of 67 patients with tumors in isolated kidney who underwent surgery at the Chinese PLA General Hospital from November 2010 to January 2022. There were 48 males and 19 females, with an average age of (58.6±10.1) years old. The patients were divided into RAPN group (43 cases) and LPN group (24 cases) based on the surgical approach. The RAPN group had a higher R.E.N.A.L. score than the LPN group [(8.7±1.5) vs. (7.9±1.7), P=0.042]. There were no statistically significant differences between the two groups in terms of age [(57.4±10.2) years old vs. (60.9±9.8) years old, P=0.185], body mass index (BMI) [(25.7±3.5) kg/m 2 vs. (25.1±3.6) kg/m 2, P=0.518], and preoperative serum creatinine [(102.9±31.6) μmol/L vs. (102.3±22.4) μmol/L, P=0.930]. Twelve cases underwent hypothermic treatment during surgery, with 9 cases(20.9%) in the RAPN group and 3 cases(12.5%) in the LPN group( P=0.596). Surgical time, intraoperative warm ischemia time, intraoperative blood loss, postoperative fasting time, perioperative complication rate, postoperative serum creatinine, and other indicators were compared between the two groups. Multiple linear regression analysis was used to identify factors affecting postoperative serum creatinine. Kaplan-Meier curves were employed to analyze patient prognosis, and log-rank tests were performed to compare the differences between the two groups. Multiple Cox regression analysis was used to identify factors influencing patient prognosis. Results:All surgeries were completed successfully with negative pathological margins. There were no statistically significant differences between the RAPN and LPN groups in terms of surgical time [(136.6±47.6) min vs. (125.3±34.4) min, P=0.311], intraoperative ischemia time [23.0 (16.0, 30.0) min vs. 19.0 (13.5, 27.5) min, P =0.260], intraoperative blood loss [50.0 (50.0, 100.0) ml vs. 50.0 (22.5, 100.0) ml, P=0.247], postoperative hospital stay [(6.6±3.5) days vs. (7.7±4.2) days, P=0.244], time to drain removal [4(3, 5) days vs. 5(3, 6) days, P =0.175], postoperative fasting time [(2.1±0.7) days vs. (2.2±1.0) days, P=0.729], perioperative complication rate [18.6% (8/43) vs. 16.7% (4/24), P=1.000], postoperative serum creatinine [145.2 (128.3, 191.3) μmol/L vs. 157.8 (136.2, 196.3) μmol/L, P =0.229], and pathological staging [T 1a/T 1b/T 2a/T 3a/T 4 stage: 32/7/1/3/0 case vs. 17/5/0/1/1 case, P=0.804]. Kaplan-Meier survival curves showed that the total survival rates at 1, 3, and 5 years after surgery were 94.7%, 84.9%, and 84.9% for the RAPN group, and 100.0%, 95.5%, and 95.5% for the LPN group, with no statistically significant difference in the log-rank test ( P=0.116). Excluding 10 patients with preoperative tumor metastasis (7 in the RAPN group and 3 in the LPN group), the progression-free survival rates at 1, 3, and 5 years after surgery were 84.8%, 81.1%, and 81.1% for the RAPN group, and 100.0%, 95.0%, and 90.0% for the LPN group, with no statistically significant difference in the log-rank test ( P =0.142). Multiple linear regression analysis showed that the use of hypothermic treatment during surgery significantly reduced postoperative serum creatinine ( B=-72.191, P=0.048). Multiple Cox regression analysis revealed that BMI ( HR=0.743, P=0.044), pathological T stage ( HR=4.235, P=0.018), and preoperative metastasis ( HR=18.829, P=0.035) were independent factors affecting patient overall survival time. A smaller BMI, higher pathological stage, and preoperative metastasis were associated with poorer prognosis. Conclusions:Despite the higher R. E.N.A.L. score and greater surgical difficulty in the RAPN group, RAPN achieved similar perioperative and prognostic results as the LPN, indicating RAPN advantages in treating tumors in isolated kidney. Appropriate intraoperative hypothermic treatment can better protect postoperative renal function. BMI, pathological T stage, and preoperative metastasis are independent factors affecting overall survival time.

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