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.Hypoxia Exercise Mediates The miR-27/PPARγ Pathway to Improve Lipid Metabolism in Obese Rats at Target Genes and Protein Levels
Wei KONG ; Jie SHAO ; Teng ZHAI ; Qian CHENG ; Fang-Zheng HAN ; Yi QU ; Lei ZHU
Progress in Biochemistry and Biophysics 2025;52(6):1386-1400
ObjectiveTo explore the sequential effects of hypoxic exercising on miR-27/PPARγ and lipid metabolism target gene and protein expression levels in the obesity rats’ liver. Methods13-week-old male diet-induced obesity rats were randomly divided into three groups (n=10): normal oxygen concentration quiet group (N), hypoxia quiet group (H), hypoxic exercise group (HE). Exercise training on the horizontal animal treadmill for 1 h/d, 5 d/week for a total of 4 week, and the intensity of horizontal treadmill training was 20 m/min (hypoxic concentration was 13.6%). Comparison of the weights of perirenal fat and epididymal fat in rats across different groups and calculation of Lee’s index based on body weight and body length of rats in each group were done. And the serum concentrations of total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) levels were detected. RT-PCR and Western Blot were used to detect the levels of miR-27, PPARγ, CYP7A1 and CD36. ResultsHypoxic exercise decreased the expression levels of miR-27 in the obese rats’ liver, however, the expression level of PPARγ was gradually increased. The expression levels of miR-27 in HE group were significantly lower than N group (P<0.05). The expression levels of PPARγ mRNA in N group were significantly lower than H group (P<0.05), especially lower than HE group (P<0.01). The protein expression of PPARγ protein in N group was significantly lower than that other groups (P<0.01). The expression of lipid metabolism-related genes and proteins increased in the obese rats’ liver. The expression of CYP7A1 mRNA in N group was significantly lower than H group (P<0.05), especially lower than HE group (P<0.01). The expression of CYP7A1 protein in the obese rats’ liver in N group was extremely lower than H group and HE group (P<0.01). The protein expression of CD36 in N group was significantly lower than that in HE group (P<0.05). Hypoxia exercise improved the related physiological and biochemical indexes of lipid metabolism disorder. The perirenal fat weight of obese rats in HE group was extremely lower than N group and H group (P<0.01), and the perirenal fat weight in N group was significantly higher than H group (P<0.05). The epididymal fat weight in N group was significantly higher than H group (P<0.05), and extremely higher than HE group (P<0.01). The Lee’s index in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of TC in obese rats in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of TG in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of LDL-C in N group was extremely higher than HE group (P<0.01). The serum concentration of HDL-C in N group was extremely lower than H group (P<0.01). ConclusionHypoxia and hypoxia exercise may negatively regulate the levels of PPARγ by inhibiting miR-27 in the obese rats’ liver, thereby affecting the expression of downstream target genes CYP7A1 and CD36, and promoting cholesterol, fatty acid oxidation and HDL-C transport in the liver, and ultimately the lipid levels in obese rats were improved. The effect of hypoxia exercise on improving blood lipid is better than simple hypoxia intervention.
5.Quality evaluation of Xintong granules based on HPLC fingerprint and quantitative analysis of multi-components by single-marker method
Xide YE ; Xiaolong FENG ; Mingguo SHAO ; Linchun WAN ; Zhenyu HU ; Chunyu CHEN ; Yu WU ; Junwen BU ; Yuhang QIAN ; Fanqiang MENG
China Pharmacy 2025;36(15):1866-1870
OBJECTIVE To establish the HPLC fingerprint of Xintong granules and the quantitative analysis of multi- components by single-marker method (QAMS) to determine the contents of 7 components, so as to provide a scientific basis for their quality control. METHODS HPLC method was used to establish the fingerprints for 10 batches of Xintong granules (No. S1- S10), and similarity evaluation, cluster analysis (CA) and partial least squares-discriminant analysis (PLS-DA) were performed. At the same time, the contents of seven components, including puerarin, daidzin, calycosin-7-O- β -D-glucoside, stilbene glycoside, naringin, icariin and tanshinone ⅡA, were determined by QAMS method, and were compared with the results of external standard method. RESULTS A total of 18 common peaks were marked and 7 peaks were identified in the HPLC fingerprints for 10 batches of Xintong granules, namely puerarin (peak 4), daidzin (peak 7), calycosin-7-O-β-D-glucoside (peak 9), stilbene glycoside (peak 10), naringin (peak 12), icariin (peak 17), and tanshinone ⅡA (peak 18); the similarities among them were more than 0.990, and CA and PLS-DA results showed that S4-S5,S8-S10,S1-S3 and S6-S7 were clustered into three categories, respectively. Using naringin as the internal standard, the contents of puerarin, daidzin, calycosin-7-O-β-D-glucoside, stilbene glycoside, icariin and tanshinone ⅡA were determined to be 7.868 1-10.181 2, 1.709 2-2.374 1, 0.285 2-0.326 3, 1.024 1- 1.523 9, 0.140 2-0.290 4, and 0.077 1-0.219 4 mg/g, respectively, by the QAMS. These results showed no significant differences compared to those obtained by the external standard method. CONCLUSIONS Established HPLC fingerprint and QAMS method are convenient, stable and accurate, which can provide a basis for the quality evaluation of Xintong granules.
6.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
7.Development trend of clinical decision support system in clinical nursing of Traditional Chinese Medicine
Yashuang SHAO ; Qian SU ; Yanan KAN ; Bainyu WU ; Lin CHEN ; Fuying YE
Chinese Journal of Modern Nursing 2024;30(28):3800-3804
Clinical decision support system is a system that utilizes models or knowledge bases to assist clinical decision-making through human-computer interaction for semi-structured or unstructured clinical problems, with the aim of reducing decision-making errors among medical staff and improving the quality of medical and nursing services. In recent years, clinical decision support system has attracted wide attention in the field of clinical nursing of Traditional Chinese Medicine. This paper will review the development status, application advantages and existing problems of clinical decision support system in the field of clinical nursing of Traditional Chinese Medicine, aiming to provide reference for the development of a more specialized and systematic clinical decision support system for clinical nursing of Traditional Chinese Medicine.
8.Meta-integration of role expectations for nursing master student's supervisors
Qian HAN ; Yan TANG ; Kejing ZONG ; Zhuyan SHAO ; Qingmei FAN ; Jianhong QIAO
Chinese Journal of Modern Nursing 2024;30(29):3927-3932
Objective:To systematically synthesize qualitative research on the role expectations of nursing master student's supervisors to provide a reference for improving supervisor team development and optimizing selection and evaluation systems.Methods:A systematic search was conducted in databases such as Web of Science, PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure, Wanfang, VIP, and SinoMed for qualitative studies on the role expectations of nursing master student's supervisors. The search was limited to studies published up to October 31, 2023. The quality of the included studies was evaluated using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research. Meta-integration was employed to synthesize the results.Results:A total of nine studies were included, yielding 39 research findings, which were further categorized into eight new categories. These were integrated into three main themes: expectations of supervisors' comprehensive qualities, clear role positioning and exemplification, and respecting and meeting students' developmental needs.Conclusions:Educational institutions and policymakers involved in graduate education should fully understand the multi-dimensional role expectations of stakeholders regarding nursing master student's supervisors. This understanding is crucial for strengthening the development of the supervisor team, improving selection and evaluation systems, and supporting the training of advanced nursing professionals.
9.Construction of a quality evaluation system for the implementation of TCM nursing program
Yashuang SHAO ; Qian SU ; Bainü WU ; Yanan KAN ; Yunchun BAO ; Fuying YE
Chinese Journal of Nursing 2024;59(18):2244-2250
Objective To establish a scientific and systematic quality evaluation system for the implementation of TCM nursing programs,and to provide references for promoting the standardized implementation and quality improvement of TCM nursing programs.Methods From October 2023 to December 2023,a research team was set up to form the first draft of the quality evaluation system for the implementation of TCM nursing programs based on the"structure-process-results"three-dimensional quality model,by combining literature research and focus group interviews,and the quality evaluation system for the implementation of TCM nursing programs was formulated by means of Delphi expert letter consultation and analytic hierarchy process.Results 2 rounds of professional consultations resulted in an excellent recovery rate of 100%;the expert authority coefficients were 0.853 and 0.958;the Kendall harmony coefficients of expert opinions were 0.151 and 0.152,respectively.Finally,the quality evaluation system of TCM nursing program implementation was determined,including 3 first-level indicators,including structure,process and result.There are 6 secondary indicators,including system management,implementation management,quality management,effect evaluation,safety evaluation,and satisfaction evaluation.There are 18 three-level indicators,including the implementation management system of TCM nursing program and regular optimization of TCM nursing program.Conclusion The quality evaluation system for the implementation of TCM nursing programs is scientific and reliable,but its practicability needs to be tested in clinical practice.
10.Analysis on medical visit behaviors of outpatients in a specialized hospital based on Boruta algorithm
Qian SHAO ; Lei WANG ; Geng ZHOU ; Lei LI ; Murong ZOU ; Hao ZHENG ; Chenjie SHAO
Chinese Journal of Hospital Administration 2024;40(6):431-437
Objective:To analyze the preferences of outpatients in a tertiary public specialized hospital, for references for optimizing the allocation of outpatient medical resources, and enhancing the medical experience.Methods:This study used convenience sampling method to select outpatients from a tertiary public stomatological hospital from January to September 2022 as the survey subjects, and conducted a questionnaire survey. The questionnaire mainly included gender, age, place of residence, education level, and medical needs, etc. Logistic regression model and Boruta algorithm were used to analyze the factors influencing patients′ preferred tertiary public specialized hospitals for treatment.Results:A total of 19 255 patients were included in this study. 13 558 patients (70.41%) preferred tertiary public specialized hospital for treatment, including 9 715 patients (71.65%) aged 21 to 45, 1 015 local patients (73.87%), 8 278 patients (61.05%) who chose treatment options, and 6 442 patients (47.51%) who came to the hospital for medical insurance reimbursement. By logistic regression analysis, age, residence, education level, medical needs, oral health habits, access to oral health knowledge, pre interview experience of Internet hospitals, monthly income, number of family members and reasons for seeking medical treatment were the influencing factors of patients′ preference for tertiary public specialized hospitals. According to the Boruta algorithm analysis, the top 6 important factors were the reasons for seeking medical treatment (Z=126.66), oral health habits (Z=96.44), access to oral health knowledge (Z=66.91), medical needs (Z=62.21), age (Z=57.54), and residence (Z=55.21).Conclusions:Local patients and young and middle-aged patients tended to choose tertiary public specialized hospitals for treatment, and treatment projects were the main business types that attract patients to visit tertiary public specialized hospitals. There were many important influencing factors for patients choosing tertiary public specialized hospitals for treatment, including the reasons for seeking medical treatment, oral health habits, access to oral health knowledge, and medical needs.

Result Analysis
Print
Save
E-mail