1.GOLM1 promotes cholesterol gallstone formation via ABCG5-mediated cholesterol efflux in metabolic dysfunction-associated steatohepatitis livers
Yi-Tong LI ; Wei-Qing SHAO ; Zhen-Mei CHEN ; Xiao-Chen MA ; Chen-He YI ; Bao-Rui TAO ; Bo ZHANG ; Yue MA ; Guo ZHANG ; Rui ZHANG ; Yan GENG ; Jing LIN ; Jin-Hong CHEN
Clinical and Molecular Hepatology 2025;31(2):409-425
Background/Aims:
Metabolic dysfunction-associated steatohepatitis (MASH) is a significant risk factor for gallstone formation, but mechanisms underlying MASH-related gallstone formation remain unclear. Golgi membrane protein 1 (GOLM1) participates in hepatic cholesterol metabolism and is upregulated in MASH. Here, we aimed to explore the role of GOLM1 in MASH-related gallstone formation.
Methods:
The UK Biobank cohort was used for etiological analysis. GOLM1 knockout (GOLM1-/-) and wild-type (WT) mice were fed with a high-fat diet (HFD). Livers were excised for histology and immunohistochemistry analysis. Gallbladders were collected to calculate incidence of cholesterol gallstones (CGSs). Biles were collected for biliary lipid analysis. HepG2 cells were used to explore underlying mechanisms. Human liver samples were used for clinical validation.
Results:
MASH patients had a greater risk of cholelithiasis. All HFD-fed mice developed MASH, and the incidence of gallstones was 16.7% and 75.0% in GOLM1-/- and WT mice, respectively. GOLM1-/- decreased biliary cholesterol concentration and output. In vivo and in vitro assays confirmed that GOLM1 facilitated cholesterol efflux through upregulating ATP binding cassette transporter subfamily G member 5 (ABCG5). Mechanistically, GOLM1 translocated into nucleus to promote osteopontin (OPN) transcription, thus stimulating ABCG5-mediated cholesterol efflux. Moreover, GOLM1 was upregulated by interleukin-1β (IL-1β) in a dose-dependent manner. Finally, we confirmed that IL-1β, GOLM1, OPN, and ABCG5 were enhanced in livers of MASH patients with CGSs.
Conclusions
In MASH livers, upregulation of GOLM1 by IL-1β increases ABCG5-mediated cholesterol efflux in an OPN-dependent manner, promoting CGS formation. GOLM1 has the potential to be a molecular hub interconnecting MASH and CGSs.
2.GOLM1 promotes cholesterol gallstone formation via ABCG5-mediated cholesterol efflux in metabolic dysfunction-associated steatohepatitis livers
Yi-Tong LI ; Wei-Qing SHAO ; Zhen-Mei CHEN ; Xiao-Chen MA ; Chen-He YI ; Bao-Rui TAO ; Bo ZHANG ; Yue MA ; Guo ZHANG ; Rui ZHANG ; Yan GENG ; Jing LIN ; Jin-Hong CHEN
Clinical and Molecular Hepatology 2025;31(2):409-425
Background/Aims:
Metabolic dysfunction-associated steatohepatitis (MASH) is a significant risk factor for gallstone formation, but mechanisms underlying MASH-related gallstone formation remain unclear. Golgi membrane protein 1 (GOLM1) participates in hepatic cholesterol metabolism and is upregulated in MASH. Here, we aimed to explore the role of GOLM1 in MASH-related gallstone formation.
Methods:
The UK Biobank cohort was used for etiological analysis. GOLM1 knockout (GOLM1-/-) and wild-type (WT) mice were fed with a high-fat diet (HFD). Livers were excised for histology and immunohistochemistry analysis. Gallbladders were collected to calculate incidence of cholesterol gallstones (CGSs). Biles were collected for biliary lipid analysis. HepG2 cells were used to explore underlying mechanisms. Human liver samples were used for clinical validation.
Results:
MASH patients had a greater risk of cholelithiasis. All HFD-fed mice developed MASH, and the incidence of gallstones was 16.7% and 75.0% in GOLM1-/- and WT mice, respectively. GOLM1-/- decreased biliary cholesterol concentration and output. In vivo and in vitro assays confirmed that GOLM1 facilitated cholesterol efflux through upregulating ATP binding cassette transporter subfamily G member 5 (ABCG5). Mechanistically, GOLM1 translocated into nucleus to promote osteopontin (OPN) transcription, thus stimulating ABCG5-mediated cholesterol efflux. Moreover, GOLM1 was upregulated by interleukin-1β (IL-1β) in a dose-dependent manner. Finally, we confirmed that IL-1β, GOLM1, OPN, and ABCG5 were enhanced in livers of MASH patients with CGSs.
Conclusions
In MASH livers, upregulation of GOLM1 by IL-1β increases ABCG5-mediated cholesterol efflux in an OPN-dependent manner, promoting CGS formation. GOLM1 has the potential to be a molecular hub interconnecting MASH and CGSs.
3.GOLM1 promotes cholesterol gallstone formation via ABCG5-mediated cholesterol efflux in metabolic dysfunction-associated steatohepatitis livers
Yi-Tong LI ; Wei-Qing SHAO ; Zhen-Mei CHEN ; Xiao-Chen MA ; Chen-He YI ; Bao-Rui TAO ; Bo ZHANG ; Yue MA ; Guo ZHANG ; Rui ZHANG ; Yan GENG ; Jing LIN ; Jin-Hong CHEN
Clinical and Molecular Hepatology 2025;31(2):409-425
Background/Aims:
Metabolic dysfunction-associated steatohepatitis (MASH) is a significant risk factor for gallstone formation, but mechanisms underlying MASH-related gallstone formation remain unclear. Golgi membrane protein 1 (GOLM1) participates in hepatic cholesterol metabolism and is upregulated in MASH. Here, we aimed to explore the role of GOLM1 in MASH-related gallstone formation.
Methods:
The UK Biobank cohort was used for etiological analysis. GOLM1 knockout (GOLM1-/-) and wild-type (WT) mice were fed with a high-fat diet (HFD). Livers were excised for histology and immunohistochemistry analysis. Gallbladders were collected to calculate incidence of cholesterol gallstones (CGSs). Biles were collected for biliary lipid analysis. HepG2 cells were used to explore underlying mechanisms. Human liver samples were used for clinical validation.
Results:
MASH patients had a greater risk of cholelithiasis. All HFD-fed mice developed MASH, and the incidence of gallstones was 16.7% and 75.0% in GOLM1-/- and WT mice, respectively. GOLM1-/- decreased biliary cholesterol concentration and output. In vivo and in vitro assays confirmed that GOLM1 facilitated cholesterol efflux through upregulating ATP binding cassette transporter subfamily G member 5 (ABCG5). Mechanistically, GOLM1 translocated into nucleus to promote osteopontin (OPN) transcription, thus stimulating ABCG5-mediated cholesterol efflux. Moreover, GOLM1 was upregulated by interleukin-1β (IL-1β) in a dose-dependent manner. Finally, we confirmed that IL-1β, GOLM1, OPN, and ABCG5 were enhanced in livers of MASH patients with CGSs.
Conclusions
In MASH livers, upregulation of GOLM1 by IL-1β increases ABCG5-mediated cholesterol efflux in an OPN-dependent manner, promoting CGS formation. GOLM1 has the potential to be a molecular hub interconnecting MASH and CGSs.
4.Correlation between dynamic high-density lipoprotein trajectories and clinical outcomes in critically ill children
Jianlei FU ; Xuepeng ZHANG ; Geng ZHANG ; Huaiyu XIONG ; Yi JI ; Siyuan CHEN
Chinese Journal of Applied Clinical Pediatrics 2024;39(3):161-169
Objective:To characterize the longitudinal and dynamic high-density lipoprotein (HDL) trajectories in critically ill children and explore their correlation with clinical outcomes.Methods:Retrospective cohort study.All critically ill children admitted to the Pediatric Intensive Care Unit (PICU) of West China Hospital, Sichuan University from January 1, 2015 to October 1, 2020 were included in this retrospective study.Group-based trajectory modeling (GBTM) was applied to characterize the HDL trajectories in days 0-6 post-PICU admission and develop HDL trajectory groups.The in-hospital mortality rate was reported as frequency (%) and then compared by the Chi-square test or Fisher′s exact test between HDL trajectory groups.The length of stay (LOS) in the PICU was described by M( Q1, Q3), and its difference between HDL trajectory groups was evaluated by the Kruskal Wallis test.Logistic regression and multiple linear regression were used to determine the correlation between HDL trajectories and clinical outcomes.The primary outcome was in-hospital mortality rate, and the secondary outcome was LOS in the PICU. Results:A total of 4 384 critically ill children were ultimately enrolled in the study, and 6 HDL trajectory groups were developed based on GBTM analyses: group 1 (758 cases), the lowest HDL group; group 2 (1 413 cases), the low HDL group; group 3 (74 cases), the low-to-high HDL group; group 4 (621 cases), the medium HDL group; group 5 (1 371 cases), the high HDL group; and group 6 (147 cases), the highest HDL group.Logistic regression analysis showed that compared with critically ill children in group 1, those belonging to groups 2, 3, 4, 5, and 6 were at lower risks of in-hospital mortality with odds ratio ( OR): 0.475, 95%confidence interval ( CI): 0.352-0.641, P<0.001; OR: 0.093, 95% CI: 0.013-0.679, P=0.019; OR: 0.322, 95% CI: 0.208-0.479, P<0.001; OR: 0.263, 95% CI: 0.185-0.374, P<0.001, and OR: 0.142, 95% CI: 0.044-0.454, P=0.001, respectively.Multiple linear regression analysis revealed that compared with critically ill children in group 1, those belonging to groups 4, 5, and 6 had the trend of shorter LOS in PICU, and the β value and 95% CI were β: -4.332, 95% CI: -5.238- -3.426, P<0.001; β: -3.053, 95% CI: -3.809--2.297, P<0.001; β: -6.281, 95% CI: -7.842--4.721, P<0.001, respectively. Conclusions:The dynamic HDL trajectories during 0-6 days after PICU admission are associated with in-hospital mortality rate of critically ill children.The HDL trajectory at a persistently low level is associated with higher mortality, while the HDL trajectory at a persistently high level or with the trend from a low level rising to a high level shows a lower risk of mortality.It is suggested that the HDL trajectory model may become an indicator to predict the condition and prognosis of critically ill children.
5.Analysis of influencing factors for early tumor recurrence and efficacy of adjuvant chemotherapy in gallbladder carcinoma patients after curative-intent resection: a nationwide, multicenter clinical study
Dong ZHANG ; Qi LI ; Wei GUO ; Fan HUANG ; Yi ZHU ; Kecan LIN ; Dalong YIN ; Wei CHEN ; Rui DING ; Ping YUE ; Yunfeng LI ; Zhiyu CHEN ; Zhimin GENG
Chinese Journal of Digestive Surgery 2024;23(1):125-133
Objective:To investigate the influencing factors for early tumor recurrence and the efficacy of adjuvant chemotherapy in gallbladder carcinoma (GBC) patients after curative-intent resection.Methods:The retrospective case-control study was conducted. The clinicopathological data of 506 patients with GBC in 11 medical centers, including The First Affiliated Hospital of Xi'an Jiaotong University et al, from January 2016 to December 2020 were collected. There were 168 males and 338 females, aged (62±11)years. All patients underwent curative-intent resection of GBC, and they were divided into patients with and without early recurrence based on time to postoperative recurrence. Observation indicators: (1) treatment; (2) follow-up and survival of patients; (3) analysis of influencing factors for early tumor recurrence after curative-intent resection of GBC; (4) efficacy of postoperative adjuvant chemotherapy. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Mann-Whitney U test. Univariate analysis was conducted using the corresponding statistical methods based on data type. Multivariate analysis was conducted using the Logistic regression model with forward method. The Kaplan-Meier method was used to draw survival curve and calculate survival rate, and Log-Rank test was used for survival analysis. Results:(1) Treatment. Of 506 patients, there were 112 cases with postoperative adjuvant chemotherapy, and 394 cases without postopera-tive adjuvant chemotherapy. They underwent 5(range, 3-9)cycles of postoperative adjuvant chemo-therapy. (2) Follow-up and survival of patients. All 506 patients underwent postoperative follow-up, with the follow-up time of 55(range, 34-93)months. During the follow-up, there were 248 patients with tumor recurrence, including 158 cases of early recurrence and 90 cases of late recurrence, and there were 258 patients without tumor recurrence. Of 506 patients, 275 cases survived, and 231 cases died of multiple organ failure caused by tumor recurrence and metastasis. The postoperative recurr-ence-free survival time, overall survival time were 52(range,1-93)months, 62(range, 2-93)months. The 1-, 3-, 5-year disease-free survival rates and 1-, 3-, 5-year overall survival rates of the 506 pati-ents were 68.8%, 53.8%, 47.9% and 78.3%, 58.7%, 51.6%, respectively. Results of survival analysis showed that the median overall survival time of 158 patients with postoperative early recurrence and 348 patients without postoperative early recurrence (including 90 cases of late recurrence and 258 cases of no tumor recurrence) were 9(range, 2-73)months and unreached, showing a significant difference between them ( χ2=456.15, P<0.05). (3) Analysis of influencing factors for early tumor recurrence after curative-intent resection of GBC. Results of multivariate analysis showed that carcinoembryonic antigen (CEA) >5.0 μg/L, poorly differentiated tumor, liver invasion, and tumor N staging as stage N1-N2 were independent risk factors influencing early tumor recurrence after cura-tive-intent resection of GBC ( odds ratio=2.74, 6.20, 1.81, 2.93, 4.82, 95% confidence interval as 1.62-4.64, 1.82-21.12, 1.15-3.08, 1.68-5.09, 1.91-12.18, P<0.05), while postoperative adjuvant chemo-therapy was an independent protect factor ( odds ratio=0.39, 95% confidence interval as 0.21-0.71, P<0.05). (4) Efficacy of postoperative adjuvant chemotherapy. The median overall survival time of 394 patients without postoperative adjuvant chemotherapy and 112 patients with postoperative adjuvant chemotherapy were 57(range, 2-93)months and unreached, showing a significant differ-ence between them ( χ2=9.38, P<0.05). Of the 158 patients with postoperative early recurrence after curative-intent resection of GBC, 135 cases didn't receive adjuvant chemotherapy and 23 cases received adjuvant chemotherapy, with the overall survival time of 8(range, 2-73)months and 17(range, 8-61)months, respectively, showing a significant difference between them ( χ2=7.68, P<0.05). Conclusions:CEA >5.0 μg/L, poorly differentiated tumor, liver invasion, and tumor N staging as stage N1-N2 are independent risk factors influencing early tumor recurrence after curative-intent resection of GBC, while postoperative adjuvant chemotherapy is an independent protect factor. Postoperative adjuvant chemotherapy can prolong the overall survival time of patients with post-operative tumor early recurrence.
6.Establishment of HPLC characteristic chromatogram and quantitative transmission laws for Baqi Rougan Decoction reference sample
Sai-Long GENG ; Qin ZHOU ; Shui-Gen SUN ; Man LI ; Li-Jie ZHAO ; Ji-Quan ZHANG ; Yi FENG
Chinese Traditional Patent Medicine 2024;46(2):370-378
AIM To establish the HPLC characteristic chromatogram of Baqi Rougan Decoction reference sample,and to investigate its quantitative transmission laws.METHODS The contents of calycosin 7-O-glucoside,hesperidin,rosmarinic acid,curcumenol and nystose were determined.The transfer rates of decoction piece-aqueous decoction-reference sample were calculated,after which the paste-forming rate and pH value were recorded.RESULTS There were sixteen characteristic peaks in fifteen batches of reference samples with the similarities of 0.90,nine of which were identified.The average transfer rates of nystose and calycosin 7-O-glucoside in the reference sample were(83.14±6.25)%and(77.81±8.31)%,while those of rosmarinic acid and curcumenol in the aqueous decoction-reference sample were(81.71±6.27)%and(72.16±5.91)%,along with the average paste-forming rate and pH value of(38.91%±1.46%)and 5.13±0.08,respectively.CONCLUSION This stable and feasible method can provide a reference for the selection of preparation process and evaluation of key chemical properties for Baqi Rougan Decoction.
7.The experience on the construction of the cluster prevention and control system for COVID-19 infection in designated hospitals during the period of "Category B infectious disease treated as Category A"
Wanjie YANG ; Xianduo LIU ; Ximo WANG ; Weiguo XU ; Lei ZHANG ; Qiang FU ; Jiming YANG ; Jing QIAN ; Fuyu ZHANG ; Li TIAN ; Wenlong ZHANG ; Yu ZHANG ; Zheng CHEN ; Shifeng SHAO ; Xiang WANG ; Li GENG ; Yi REN ; Ying WANG ; Lixia SHI ; Zhen WAN ; Yi XIE ; Yuanyuan LIU ; Weili YU ; Jing HAN ; Li LIU ; Huan ZHU ; Zijiang YU ; Hongyang LIU ; Shimei WANG
Chinese Critical Care Medicine 2024;36(2):195-201
The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.
8.Background, design, and preliminary implementation of China prospective multicenter birth cohort
Si ZHOU ; Liping GUAN ; Hanbo ZHANG ; Wenzhi YANG ; Qiaoling GENG ; Niya ZHOU ; Wenrui ZHAO ; Jia LI ; Zhiguang ZHAO ; Xi PU ; Dan ZHENG ; Hua JIN ; Fei HOU ; Jie GAO ; Wendi WANG ; Xiaohua WANG ; Aiju LIU ; Luming SUN ; Jing YI ; Zhang MAO ; Zhixu QIU ; Shuzhen WU ; Dongqun HUANG ; Xiaohang CHEN ; Fengxiang WEI ; Lianshuai ZHENG ; Xiao YANG ; Jianguo ZHANG ; Zhongjun LI ; Qingsong LIU ; Leilei WANG ; Lijian ZHAO ; Hongbo QI
Chinese Journal of Perinatal Medicine 2024;27(9):750-755
China prospective multicenter birth cohort (Prospective Omics Health Atlas birth cohort, POHA birth cohort) study was officially launched in 2022. This study, in collaboration with 12 participating units, aims to establish a high-quality, multidimensional cohort comprising 20 000 naturally conceived families and assisted reproductive families. The study involves long-term follow-up of parents and offspring, with corresponding biological samples collected at key time points. Through multi-omics testing and analysis, the study aims to conduct multi-omics big data research across the entire maternal and infant life cycle. The goal is to identify new biomarkers for maternal and infant diseases and provide scientific evidence for risk prediction related to maternal diseases and neonatal health.
9.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
10.Analysis of potential categories and influencing factors of self-efficacy among patients with rheumatoid arthritis
Fen LI ; Yaqin GENG ; Yi ZHANG ; Biyu SHEN ; Bo GAO ; Yaping YI
Chinese Journal of Nursing 2024;59(19):2362-2368
Objective To explore the potential categories of self-efficacy in patients with rheumatoid arthritis(RA),analyze their influencing factors,and provide references for the development of personalized care measures.Methods Patients with RA who visited the rheumatology and immunology outpatient department of a tertiary hospital in Changzhou from March 2022 to March 2023 were selected.A general information questionnaire,the Chinese version of the Rheumatoid Arthritis Self-Efficacy Scale(C-RASE),and Compliance Questionnaire Rheumatology(CQR)were used to investigate RA patients.Latent class analysis was used to classify self-efficacy,and logistic regression analysis was conducted to explore the influencing factors of self-efficacy.Results A total of 219 subjects were included in the survey.The score of C-RASE was(100.68±12.64).The self-efficacy of RA patients was divided into a high efficacy-low support group(105.18±10.18),a moderate efficacy-diverse needs group(93.21±4.16),and a low efficacy-high fatigue group(84.07±13.96).Logistic regression analysis showed that disease duration(OR=1.062,P=0.024),education(OR=5.405,P=0.036;OR=12.347,P=0.021),and erythrocyte sedimentation rate(OR=1.019,P=0.020;OR=1.019,P=0.027)were factors affecting patients'self-efficacy.The treatment compliance scores of the 3 latent class categories(F=10.902,P<0.001)and the rate of good treatment compliance(x2=16.053,P<0.001)were statistically significant.Conclusion RA patients exhibit significant heterogeneity in their self-efficacy levels,and there are variations in treatment adherence among patients in different self-efficacy categories.Nurses should prioritize the attention towards the population groups with moderate efficacy-diverse needs,as well as the groups with low efficacy-high fatigue,implementing cognitive behavioral interventions to assist them in setting clear goals and providing specific plans and guidance to improve their health outcomes.

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