1.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
2.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
3.The influence of charismatic leadership on clinical nurses' organizational silence behavior: the chain mediating role of positive coping and organizational climate
Ying XIONG ; He CUI ; Ying XIE ; Yaru MA ; Yidan QIN
Chinese Journal of Modern Nursing 2025;31(8):1032-1039
Objective:To explore the chain mediating role of positive coping and organizational climate in the relationship between charismatic leadership and clinical nurses' organizational silence behavior.Methods:This study was a cross-sectional research. A convenience sampling method was used to select 236 clinical nurses from the First Affiliated Hospital of Zhengzhou University from April to May 2024. The Conger-Kanungo Charismatic Leadership Scale, Simplified Coping Style Questionnaire (positive coping), Organizational Climate Scale, Nurse Organizational Silence Evaluation Questionnaire were administered to the nurses. Harman's single-factor test was used to examine common method bias, while Spearman's correlation analysis was employed to analyze the relationships among charismatic leadership, positive coping, organizational climate, and organizational silence behavior. The chain mediating effect of positive coping and organizational climate between charismatic leadership and organizational silence behavior was tested using Model 6 in SPSS PROCESS macro.Results:A total of 248 questionnaires were retrieved, with 236 valid responses, yielding an effective response rate of 95.16%. The common method bias test revealed that 7 factors with eigenvalues greater than 1 were extracted, with the first factor explaining 26.19% of the variance, which was below the critical value of 40%. Correlation analysis showed that charismatic leadership, positive coping, and organizational climate were positively correlated with each other ( P<0.05), and organizational silence behavior was negatively correlated with charismatic leadership, positive coping, and organizational climate ( P<0.05). The mediating effect analysis showed that charismatic leadership could directly affect nurses' organizational silence behavior ( β=-0.138, P<0.01), and could also affect nurses' organizational silence behavior through three mediating paths: charismatic leadership→positive coping→nurses' organizational silence behavior, with an effect value of -0.205, accounting for 46.91% (-0.205/ -0.437) of the total effect; charismatic leadership→organizational climate→nurses' organizational silence behavior, with an effect value of -0.073, accounting for 16.70% (-0.073/-0.437) of the total effect; charismatic leadership→positive coping→organizational climate→nurses' organizational silence behavior, with an effect value of -0.021, accounting for 4.81% (-0.021/-0.437) of the total effect. The total mediating effect was -0.299, accounting for 68.42% (-0.299/-0.437) of the total effect. Conclusions:Charismatic leadership not only directly influences nurses' organizational silence behavior but also has an indirect impact through the mediating effects of positive coping and organizational climate.
4.Predictive value of preoperative combined detection of NLR and PTAR for early abdominal infection after liver transplantation
Huabin PENG ; Ying LIU ; Fei HOU ; Shuang ZHAO ; Yizhi ZHANG ; Tingting CUI ; Zhiying HE ; Jingyi LIU ; Haofeng XIONG ; Liying SUN
Organ Transplantation 2025;16(6):931-943
Objective To investigate the predictive value of preoperative combined detection of neutrophil-to-lymphocyte ratio (NLR) and prothrombin time-international normalized ratio to albumin ratio (PTAR) for early abdominal infection after liver transplantation. Methods Clinical data of 287 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital, Affiliated to Capital Medical University, from January 2020 to April 2024 were retrospectively analyzed. The patients were divided into infection group (n=60) and non-infection group (n=227) based on whether abdominal infection occurred within 30 days after surgery. The distribution characteristics of pathogens and infection time in infected patients were analyzed. Spearman correlation analysis was used to assess the correlation between NLR, PTAR, Child-Pugh score and preoperative model for end-stage liver disease (MELD) score. Univariate and multivariate logistic regression analyses were performed to identify risk factors for abdominal infection. Receiver operating characteristic (ROC) curves were plotted for NLR, PTAR, and the combined prediction model to evaluate their predictive efficacy for abdominal infection after liver transplantation. Based on the cutoff value of the combined model, recipients were divided into low-risk and high-risk groups, and Kaplan-Meier analysis was used to compare the cumulative incidence of abdominal infection within 30 days after surgery between the two groups. Results Among the 287 recipients who underwent liver transplantation, 60 developed bacterial or fungal abdominal infections postoperatively. A total of 86 strains were isolated from infected patients, with Gram-negative bacteria accounting for 58%, Gram-positive bacteria for 36%, and fungi for 5%. Preoperative NLR and PTAR were positively correlated with Child-Pugh and MELD scores (all 1 > r > 0, P < 0.05). Logistic regression analysis showed that preoperative NLR, preoperative PTAR, postoperative ICU stay duration and postoperative biliary leakage were risk factors for abdominal infection within 30 days after surgery. The area under the curve (AUC) for NLR, PTAR, Child-Pugh score and MELD score were 0.771, 0.735, 0.650 and 0.741, respectively. The AUC for the combined NLR and PTAR prediction model was 0.824 (95% confidence interval: 0.763-0.885, P < 0.001), with a cutoff value of 0.168. Kaplan-Meier analysis showed that the cumulative incidence of abdominal infection within 30 days after surgery was lower in the low-risk group than in the high-risk group, with statistically significant difference (P < 0.001). Conclusions Preoperative NLR and PTAR are independent risk factors for abdominal infection within 30 days after liver transplantation. The combined prediction model of NLR and PTAR may effectively identify high-risk recipients for early abdominal infection after liver transplantation, providing basis for early intervention.
5.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
6.The influence of charismatic leadership on clinical nurses' organizational silence behavior: the chain mediating role of positive coping and organizational climate
Ying XIONG ; He CUI ; Ying XIE ; Yaru MA ; Yidan QIN
Chinese Journal of Modern Nursing 2025;31(8):1032-1039
Objective:To explore the chain mediating role of positive coping and organizational climate in the relationship between charismatic leadership and clinical nurses' organizational silence behavior.Methods:This study was a cross-sectional research. A convenience sampling method was used to select 236 clinical nurses from the First Affiliated Hospital of Zhengzhou University from April to May 2024. The Conger-Kanungo Charismatic Leadership Scale, Simplified Coping Style Questionnaire (positive coping), Organizational Climate Scale, Nurse Organizational Silence Evaluation Questionnaire were administered to the nurses. Harman's single-factor test was used to examine common method bias, while Spearman's correlation analysis was employed to analyze the relationships among charismatic leadership, positive coping, organizational climate, and organizational silence behavior. The chain mediating effect of positive coping and organizational climate between charismatic leadership and organizational silence behavior was tested using Model 6 in SPSS PROCESS macro.Results:A total of 248 questionnaires were retrieved, with 236 valid responses, yielding an effective response rate of 95.16%. The common method bias test revealed that 7 factors with eigenvalues greater than 1 were extracted, with the first factor explaining 26.19% of the variance, which was below the critical value of 40%. Correlation analysis showed that charismatic leadership, positive coping, and organizational climate were positively correlated with each other ( P<0.05), and organizational silence behavior was negatively correlated with charismatic leadership, positive coping, and organizational climate ( P<0.05). The mediating effect analysis showed that charismatic leadership could directly affect nurses' organizational silence behavior ( β=-0.138, P<0.01), and could also affect nurses' organizational silence behavior through three mediating paths: charismatic leadership→positive coping→nurses' organizational silence behavior, with an effect value of -0.205, accounting for 46.91% (-0.205/ -0.437) of the total effect; charismatic leadership→organizational climate→nurses' organizational silence behavior, with an effect value of -0.073, accounting for 16.70% (-0.073/-0.437) of the total effect; charismatic leadership→positive coping→organizational climate→nurses' organizational silence behavior, with an effect value of -0.021, accounting for 4.81% (-0.021/-0.437) of the total effect. The total mediating effect was -0.299, accounting for 68.42% (-0.299/-0.437) of the total effect. Conclusions:Charismatic leadership not only directly influences nurses' organizational silence behavior but also has an indirect impact through the mediating effects of positive coping and organizational climate.
7.Association of serum TRAF6 and HDAC3 levels with severity of coronary artery disease and prognosis in patients with acute myocardial infarction
Hao ZHANG ; Qiao-ling XU ; Wen-yi HU ; Ying-lan XIONG ; Shi-ge XIANG ; Cui-ying FAN ; Xiao-qian RUAN
Chinese Journal of cardiovascular Rehabilitation Medicine 2024;33(6):729-733
Objective:To investigate the association of serum levels of tumor necrosis factor receptor-related factor 6(TRAF6)and histone deacetylase 3(HDAC3)with severity of coronary artery disease and prognosis in patients with acute myocardial infarction(AMI).Methods:A total of 122 AMI patients admitted Macheng Traditional Chinese Medicine Hospital between July 2019 and December 2020 were selected,divided into low score group(n=73,<20 points)and high score group(n=49,≥20 points)according to Gensini score.Association of serum levels of TRAF6 and HDAC3 with Gensini score was analyzed by Pearson method.According to survival condition during hospitalization within 28d,they were divided into survival group(n=85)and death group(n=37).Cox regression model was used to analyze the influencing factors for death within 28d in AMI patients;receiver operating charac-teristic(ROC)curve was used to analyze the predictive efficacy of TRAF6 and HDAC3 for death within 28d in AMI patients.Results:Patients in high score group had significant higher serum levels of TRAF6[(6.01±2.39)μg/ml vs.(5.06±1.74)μg/ml,P=0.012]and HDAC3[(4.14±1.94)ng/ml vs.(2.87±1.37)ng/ml,P<0.001]compared with low score group.Pearson correlation analysis indicated that serum levels of TRAF6 and HDAC3 were positively correlated with Gensini score(r=0.879,0.837,P<0.001 all).Patients in death group had significant higher serum levels of TRAF6[(6.89±1.67)μg/ml vs.(4.81±1.24)μg/ml,P<0.001]and HDAC3[(5.37±1.77)ng/ml vs.(2.52±0.76)ng/ml,P<0.001]compared with those in survival group.Cox regression analysis indicated that Gensini score[HR=1.857,95%CI 1.259~2.737,P=0.001],TRAF6[HR=1.659,95%CI 1.083~2.543,P=0.022],HDAC3[HR=1.779,95%CI 1.192~2.653,P=0.004]were independent risk factors for death within 28d in AMI patients.ROC curve analysis indicated that AUC of TRAF6,HDAC3 and their combina-tion predicting death within 28d in AMI patients was 0.862,0.859 and 0.971 respectively,and AUC of combination was significantly higher than those of TRAF6 and HDAC3 alone(Z=2.535,2.032,P=0.011,0.042).Conclu-sion:Serum levels of TRAF6 and HDAC3 are closely related to severity of coronary artery disease and prognosis in AMI patients,and dual combination possesses good predictive value for prognosis in AMI patients.
8.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.
9.Diagnostic value of Tamm-Horsfall protein and osteopontin in serum and 24-hour urine for urolithiasis
Xiaoyu SONG ; Dongfang QIN ; Jing YANG ; Chanyuan ZHANG ; Liang CUI ; Wanlin JING ; Haihong ZHANG ; Meng ZHANG ; Ying XIONG ; Haifeng ZHU ; Xuejing WANG
Chinese Journal of Clinical Laboratory Science 2024;42(10):733-737
Objective To investigate the diagnostic value Tamm-Horsfall protein(THP)and osteopontin(OPN)in serum and 24-hour urine for urolithiasis.Methods A total of 101 patients with urolithiasis who underwent flexible ureteroscopy lithotripsy at the Urology Department of Civil Aviation General Hospital from April 2020 to March 2023 were included as the stone group,and 50 healthy individuals were enrolled as the control group.The samples of serum and 24-hour urine samples were collected from both the groups,and the levels of THP and OPN were measured using enzyme-linked immunosorbent assay(ELISA).Logistic regression analysis was performed to evaluate the association between each biomarker and urolithiasis,and receiver operating characteristic(ROC)curves were plotted to assess their diagnostic value.Results The stone group showed significantly lower THP levels(20.13[13.12,26.03]mg/d)and OPN levels(51.24[36.72,101.37]μg/d)in 24-hour urine,and THP levels(182.01[160.91,209.20]ng/mL)and OPN lev-els(18.76[15.72,22.48]ng/mL)in serum compared to the control group(all the P<0.001).Binary Logistic regression analysis re-vealed that THP(OR=0.736,95%CI:0.606-0.895),OPN(OR=0.975,95%CI:0.958-0.993)and citrate(OR=0.067,95%CI:0.012-0.376)in 24-hour urine,and THP(OR=0.946,95%CI:0.908-0.986)and OPN(OR=0.896,95%CI:0.803-0.999)in ser-um were the protective factors for urolithiasis,while calcium level(OR=2.125,95%CI:1.243-3.633)24-hour urine was a risk factor(all the P<0.05).ROC curve analysis showed that the areas under the curve(AUCROC)for the individual diagnosis of urolithiasis were 0.846,0.809,0.786,0.823,0.748,and 0.755 for the above six biomarkers,respectively.The AUCROC for the combined diagnosis u-sing THP+OPN in serum,THP+OPN in 24-hour urine and all the six biomarkers were 0.882,0.920 and 0.984,respectively,indica-ting better diagnostic performance.Conclusion The combined detection of the THP and OPN levels in serum and 24-hour urine may have good diagnostic value for urolithiasis and serve as potential diagnostic biomarkers.
10.Effects of transcutaneous electrical nerve stimulation on IL-33/ST2 signaling pathway in the dorsal root ganglion of rats modeling hyperalgesia
Ying JIN ; Liqian MA ; Bing XIONG ; Jie ZHOU ; Shiming LIN ; Qingfeng CUI ; Shuiquan LI ; Qian SHEN
Chinese Journal of Physical Medicine and Rehabilitation 2024;46(10):871-879
Objective:To explore the effect of transcutaneous electrical nerve stimulation (TENS) on interleukin-33 (IL-33)/growth stimulation expressed gene 2 (ST2) signaling pathway in the dorsal root ganglia (DRGs) of rats modeling hyperalgesia (HP).Methods:This study consisted of two experiments. In the first, 30 Sprague-Dawley (SD) rats were randomly divided into a blank group, a Sham-HP group, an HP group, an antibody group and an inhibitor group, each of 6. HP was induced in all except the rats of the blank and Sham-HP groups by injecting carrageenan (Car) and prostaglandin E2 subcutaneously at the bottom of the left hind feet. The antibody and inhibitor groups were then given intrathecal injections of anti-ST2 antibody and a tumor necrosis factor α (TNF-α)-specific inhibitor, respectively. In the second experiment, 42 SD rats were randomly divided into a Sham-HP group, an HP group, a TENSⅠgroup, a TENS II group, a TENS I inhibitor group, a TENS II inhibitor group, and a Sham-TENS group, each of 6. All of the groups had HP induced as in experiment one. All of the rats except those in the Sham-HP, HP and Sham-TENS groups were then given TENS, and the TENS I and II inhibitor groups were offered intrathecal injection of TNF-α-specific inhibitors. Mechanical pain thresholds (MPTs) were documented 4h, 24h, 48h, 72h, 6d, 7d 4h, 7d 1h, and 7d after the Car injections. Western blotting was used to measure the protein expressions of IL-33, ST2 and TNF-α 6d after the Car injection in both experiments.Results:In experiment one, the average MPTs of the HP, antibody and inhibitor groups had decreased significantly 4 hours after the Car injection compared with the blank and Sham-HP groups. However, 7d 1h after the Car injection the value had increased significantly in the Sham-HP, antibody and inhibitor groups compared with the HP group, while the expressions of IL-33, ST2 and TNF-α had decreased significantly. In experiment two, by 4 hours after the Car injection, the average MPT of all the other groups had decreased significantly compared with the Sham-HP group. Moreover, by 7d 1h after the Car injection, the average MPTs of the groups receiving TENS had increased significantly, with significantly lower MPT in the TENS Ⅱ group than in group Ⅰ, on average. There was also significantly higher expression of IL-33, ST2 and TNF-α in group II. Compared with the TENS Ⅰ and Ⅱ groups, the average MPT was significantly higher in the TENS I and Ⅱ inhibitor groups, but IL-33, ST2 and TNF-α expression was lower.Conclusions:TENS can inhibit TNF-α expression, which influences the signals of the DRG IL-33/ST2 signaling pathway to reverse hyperalgesia. TENS combined with anti-TNF-α treatment is superior to TENS alone in treating hyperalgesia.

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