1.Characteristics of cognitive empathy and affective empathy in pupils with high levels of autistic traits
Beilin LE ; Yan GAO ; Youhong XIE ; Yi WANG ; CHAN Raymond CK
Chinese Mental Health Journal 2025;39(2):164-168
Objective:To explore the characteristics of social cognition function in the cognitive and affective dimensions of empathy and theory of mind of pupils with high levels of autistic traits.Methods:One hundred and seventy-four elementary school fifth-grade pupils were recruited and divided into high(n=43)and low(n=43)levels of autistic traits groups based on their Autism Spectrum Quotient(AQ)scores(high level≥25 and low lev-el ≤18).Both two groups completed the Questionnaire of Cognitive and Affective Empathy(QCAE)and Interper-sonal Reactivity Index(IRI),as well as the Patient Health Questionnaire and also completed the Yoni and Faux Pas Tasks to examine theory of mind.Results:Compared with the low autistic traits group,the high autistic traits group exhibited significantly lower scores on both the Cognitive and Affective subscales of QCAE(Ps<0.01).However,there were no significant differences between the high and low autistic traitsgroups in cognitive and affective theory of mind as assessed with the Yoni and Faux Pas Tasks(Ps>0.05).Conclusion:Pupils with high levels of autistic traits may exhibit significant difference in both cognitive and affective empathy but not in theory of mind comparing to pupils with low levels of autistic traits.
2.Establishment of PK-PD Binding Model for Multi-Components of Crossbow Medicine Microemulsion Based on a Rat Model of Knee Osteoarthritis
Chan ZHAO ; Huan XIE ; Jian XU ; Yao LIU ; Fangfang YANG ; Yinglong CHEN ; Yongping ZHANG
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(6):804-812
OBJECTIVE To establish a combined pharmacokinetic(PK)-pharmacodynamic(PD)model for knee osteoarthritis(KOA)of crossbow drug microemulsion multi-components(benzoylmesaconine,benzoylhypacoitine,mesaconitine,periplocin,neo-chlorogenic acid,vanillic acid,chlorogenic acid),and elucidate the dynamic changes in the KOA rats and the interrelation with the e-lapsed efficacy of the drug.METHODS A KOA rat model was induced by 4%papain;the PK process of crossbow medicine microe-mulsion components in rat synovial fluid was analyzed by UPLC to establish a PK model;the contents of MMP-3,MMP-13,TNF-α and IL-1β in KOA rats at different time points after administration were determined by ELISA analysis to establish a PD model;Phoe-nix WinNonlin software was used to fit the PK and PD data to obtain a PK-PD model.RESULTS PK results showed that the multi-components of the microemulsion were slowly absorbed in the joint cavity and gradually reached the peak value within 3-5 h.The Cmax of benzoylmesaconine,benzoylhypacoitine mesaconitine,periplocoside,neochlorogenic acid,vanillic acid and chlorogenic acid were 1.23,1.48,1.62,4.67,0.93,1.25 and 2.35 μg·mL-1,respectively;the area under the drug-time curve(AUC0-11)was 2.58,4.04,3.54,12.15,2.51,2.41 and 4.11 h·μg·mL-1,respectively.PD results showed that at different time points after adminis-tration,the contents of MMP-3,IL-1β,TNF-α,and MMP-13 decreased to varying degrees,among which MMP-3 decreased insig-nificantly,with significant differences only at 6 h;the contents of the remaining IL-1β,TNF-α,and MMP-13 decreased significantly(P<0.05,P<0.01),and showed the phenomenon of lagged efficacy;the PK-PD binding model showed that the drug concentration of the multi-component drug in the crossbow medicine microemulsion could be well fitted with its drug efficacy data.CONCLUSION The established PK-PD binding model can predict the drug efficacy changes after administration,and provides a corresponding refer-ence for the crossbow medicine microemulsion treatment of KOA.
3.Characteristics of cognitive empathy and affective empathy in pupils with high levels of autistic traits
Beilin LE ; Yan GAO ; Youhong XIE ; Yi WANG ; CHAN Raymond CK
Chinese Mental Health Journal 2025;39(2):164-168
Objective:To explore the characteristics of social cognition function in the cognitive and affective dimensions of empathy and theory of mind of pupils with high levels of autistic traits.Methods:One hundred and seventy-four elementary school fifth-grade pupils were recruited and divided into high(n=43)and low(n=43)levels of autistic traits groups based on their Autism Spectrum Quotient(AQ)scores(high level≥25 and low lev-el ≤18).Both two groups completed the Questionnaire of Cognitive and Affective Empathy(QCAE)and Interper-sonal Reactivity Index(IRI),as well as the Patient Health Questionnaire and also completed the Yoni and Faux Pas Tasks to examine theory of mind.Results:Compared with the low autistic traits group,the high autistic traits group exhibited significantly lower scores on both the Cognitive and Affective subscales of QCAE(Ps<0.01).However,there were no significant differences between the high and low autistic traitsgroups in cognitive and affective theory of mind as assessed with the Yoni and Faux Pas Tasks(Ps>0.05).Conclusion:Pupils with high levels of autistic traits may exhibit significant difference in both cognitive and affective empathy but not in theory of mind comparing to pupils with low levels of autistic traits.
4.Establishment of PK-PD Binding Model for Multi-Components of Crossbow Medicine Microemulsion Based on a Rat Model of Knee Osteoarthritis
Chan ZHAO ; Huan XIE ; Jian XU ; Yao LIU ; Fangfang YANG ; Yinglong CHEN ; Yongping ZHANG
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(6):804-812
OBJECTIVE To establish a combined pharmacokinetic(PK)-pharmacodynamic(PD)model for knee osteoarthritis(KOA)of crossbow drug microemulsion multi-components(benzoylmesaconine,benzoylhypacoitine,mesaconitine,periplocin,neo-chlorogenic acid,vanillic acid,chlorogenic acid),and elucidate the dynamic changes in the KOA rats and the interrelation with the e-lapsed efficacy of the drug.METHODS A KOA rat model was induced by 4%papain;the PK process of crossbow medicine microe-mulsion components in rat synovial fluid was analyzed by UPLC to establish a PK model;the contents of MMP-3,MMP-13,TNF-α and IL-1β in KOA rats at different time points after administration were determined by ELISA analysis to establish a PD model;Phoe-nix WinNonlin software was used to fit the PK and PD data to obtain a PK-PD model.RESULTS PK results showed that the multi-components of the microemulsion were slowly absorbed in the joint cavity and gradually reached the peak value within 3-5 h.The Cmax of benzoylmesaconine,benzoylhypacoitine mesaconitine,periplocoside,neochlorogenic acid,vanillic acid and chlorogenic acid were 1.23,1.48,1.62,4.67,0.93,1.25 and 2.35 μg·mL-1,respectively;the area under the drug-time curve(AUC0-11)was 2.58,4.04,3.54,12.15,2.51,2.41 and 4.11 h·μg·mL-1,respectively.PD results showed that at different time points after adminis-tration,the contents of MMP-3,IL-1β,TNF-α,and MMP-13 decreased to varying degrees,among which MMP-3 decreased insig-nificantly,with significant differences only at 6 h;the contents of the remaining IL-1β,TNF-α,and MMP-13 decreased significantly(P<0.05,P<0.01),and showed the phenomenon of lagged efficacy;the PK-PD binding model showed that the drug concentration of the multi-component drug in the crossbow medicine microemulsion could be well fitted with its drug efficacy data.CONCLUSION The established PK-PD binding model can predict the drug efficacy changes after administration,and provides a corresponding refer-ence for the crossbow medicine microemulsion treatment of KOA.
5.The significance of plasma BMPR1A and PLAC8 gene methylation levels in predicting early postoperative recurrence in liver cancer patients
Yongheng HUANG ; Chan XIE ; Bo HU ; Hui WANG ; Yuan FENG ; Nan LIN
Chinese Journal of Laboratory Medicine 2024;47(4):413-418
Objective:To explore the role of combined detection of cell free BMPR1A and PLAC8 gene methylation in plasma in predicting postoperative recurrence of hepatocellular carcinoma.Methods:Case series study. Patients with stage Ⅰ-Ⅳ hepatocellular carcinoma who were treated at the Third Affiliated Hospital of Sun-Yat-sen University from January 2022 to July 2023 were selected. All enrolled patients underwent alpha fetoprotein (AFP) and imaging assessments 1 month, 3 months, 6 months, 9 months, and 12 months after treatment. Simultaneously, peripheral blood of patients was extracted for plasma circulating tumor DNA (ctDNA) methylation detection, and the results of free BMPR1A and PLAC8 gene methylation detection in patients′ plasma after treatment were compared with the positive rate of traditional tumor marker AFP detection. Draw the receiver operating characteristic curve (ROC) of the subjects to demonstrate the effectiveness of this method in predicting the recurrence of hepatocellular carcinoma. Based on the results of cell free DNA methylation and whether AFP is more than 7 μg/L, hepatocellular carcinoma patients were divided into high-risk methylation group (12 cases), low-risk methylation group (21 cases), high-risk AFP group (15 cases), and Kaplan Meier survival analysis was performed on them.Results:The sensitivity and specificity of combined detection of free BMPR1A PLAC8 gene methylation in plasma for predicting liver cancer recurrence were 66.7% and 88.9%, respectively. The area under curve (AUC) of BMPR1A PLAC8 gene methylation detection for liver cancer recurrence were 0.770 and 0.778, and the AFP was 0.522 in ROC curve analysis. Compared to imaging examinations, cell free DNA methylation detection can detect the recurrence of hepatocellular carcinoma on average by 58.3 days in advance(53.8 days vs 112.1 days). The progression free survival rate of the high-risk group based on free DNA methylation prediction at 400 days was 22.2%, significantly lower than the low-risk group (76.2%, P<0.001). Conclusion:Compared to AFP, detecting the methylation of BMPR1A and PLAC8 genes can predict the recurrence of hepatocellular carcinoma more accurately, making it a practical method for monitoring liver cancer recurrence.
6.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
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 ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; 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 ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% 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) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had 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 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
7.Feasibility and safety study of building a friendly management model for elderly critically ill patients based on geriatric intensive care unit: a prospective controlled study
Junma XU ; Yi XIE ; Dong YUAN ; Chan SHAO ; Fangqin XU ; Shu HAN
Chinese Critical Care Medicine 2024;36(8):867-870
Objective:To explore the feasibility and safety of integrating the geriatric intensive care unit (GICU) into the friendly management model of the elderly critically ill patients.Methods:A prospective controlled study was conducted. Patients with elderly critically ill admitted to the GICU and the general intensive care unit (ICU) of Jintan First People's Hospital of Changzhou from December 2021 to May 2023 were enrolled. Patients in the ICU group received the traditional intensive care and nursing mode. In addition to the ICU group basic medical care measures, the patients in the GICU group were treated with friendly management models such as flexible visitation, diagnosis and treatment environment optimization, caring diagnosis and treatment, and family participation in hospice care according to their condition assessment. The gender, age, main diagnosis, and acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) at admission were recorded and compared between the two groups. During the treatment period, the incidence of nosocomial infection, unplanned extubation, falling out of bed/fall, unexpected readmission to ICU/GICU, and ICU/GICU mortality, the incidence of post-intensive care syndrome (PICS), the satisfaction rate of patients/families with medical care, and the satisfaction rate of patients/families with diagnosis and treatment environment were recorded and compared between the two groups.Results:According to the admission criteria for ICU and GICU, as well as the willingness of the patients and/or their families, a total of 59 patients were finally included in the ICU group, and 48 patients were enrolled in the GICU group. There were no significantly differences in gender, age, main diagnosis and APACHEⅡ score between the two groups, and there were comparability. There were no significantly differences in the incidence of adverse events such as nosocomial infection [13.6% (8/59) vs. 12.5% (6/48)], unplanned extubation [5.1% (3/59) vs. 6.2% (3/48)], falling out of bed/fall [3.4% (2/59) vs. 0% (0/48)], unexpected readmission to ICU/GICU [8.5% (5/59) vs. 10.4% (5/48)], and ICU/GICU mortality [6.8% (4/59) vs. 6.2 (3/48)] between the ICU group and GICU group (all P > 0.05). Compared with the ICU group, the incidence of PICS in GICU group was significantly lower [8.3% (4/48) vs. 25.4% (15/59), P < 0.05], the satisfaction rate of patients/families with medical care [89.6% (43/48) vs. 74.6% (44/59)] and satisfaction rate of patients/families with diagnosis and treatment environment [87.5% (42/48) vs. 67.8% (40/59)] were significantly increased (both P < 0.05). Conclusion:The use GICU as a friendly management model for elderly critically ill patients is feasible and safe, and it is worthy of further exploration and research.
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.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.
10.Multi-omics combined test performance effectiveness on opportunistic screening of high-risk liver cancer population
Chan XIE ; Bingliang LIN ; Hong DENG ; Xiaohong ZHANG ; Qiyi ZHAO ; Zhiliang GAO
Chinese Journal of Hepatology 2024;32(2):140-147
Objective:To validate the performance of a multi-omics combined test for early screening of high-risk liver cancer populations.Methods:173 high-risk patients with liver cancer were prospectively screened in a real-world setting, and 164 cases were finally enrolled. B-ultrasound, alpha-fetoprotein (AFP), and HCC screens were conducted in all patients. A multi-omics early screening test was performed for liver cancer in combination with multi-gene methylation, TP53/TERT/CTNNB1 mutations, AFP, and abnormal prothrombin (PIVKA-II). Differences in rates were compared using the chi-square test, adjusted chi-square test, or Fisher's exact probability method for count data. A non-parametric rank test (Mann-Whitney) was used to compare the differences between the two groups of data.Results:The HCCscreen detection had a sensitivity of 100% for liver cancer screening, 93.8% for liver cancer and precancerous diseases, 34.1% for positive predictive value, 99.2% for negative predictive value, and 0.89 for an area under the curve (AUC). Parallel detection of AFP, AFP+B-ultrasound, and methylation+mutation had a sensitivity/specificity and AUC of 31.3%/88.5% (AUC=0.78), 56.3%/88.2% (AUC=0.86), and 81.3%/82.4 % (AUC=0.84). At the same time, the disease severity range was significantly correlated with the methylation+mutation score, HCCscreen score, or positive detection rate (PDR). There was no significant correlation between AFP serum levels and methylation+mutation or HCCscreen scores, while there was a significant linear correlation between methylation+mutation scores and HCCscreen scores ( r ?=?0.73, P ?0.001). Conclusion:In real-world settings, HCCscreen shows high sensitivity for screening opportunistic, high-risk liver cancer populations. Furthermore, it may efficaciously detect liver cancer and precancerous diseases, with superior performance to AFP and AFP+ultrasound. Hence, HCCscreen has the potential to become an effective screening tool that is superior to existing screening methods for high-risk liver cancer populations.

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