1.Equivalence of SYN008 versus omalizumab in patients with refractory chronic spontaneous urticaria: A multicenter, randomized, double-blind, parallel-group, active-controlled phase III study.
Jingyi LI ; Yunsheng LIANG ; Wenli FENG ; Liehua DENG ; Hong FANG ; Chao JI ; Youkun LIN ; Furen ZHANG ; Rushan XIA ; Chunlei ZHANG ; Shuping GUO ; Mao LIN ; Yanling LI ; Shoumin ZHANG ; Xiaojing KANG ; Liuqing CHEN ; Zhiqiang SONG ; Xu YAO ; Chengxin LI ; Xiuping HAN ; Guoxiang GUO ; Qing GUO ; Xinsuo DUAN ; Jie LI ; Juan SU ; Shanshan LI ; Qing SUN ; Juan TAO ; Yangfeng DING ; Danqi DENG ; Fuqiu LI ; Haiyun SUO ; Shunquan WU ; Jingbo QIU ; Hongmei LUO ; Linfeng LI ; Ruoyu LI
Chinese Medical Journal 2025;138(16):2040-2042
2.Differences in growth and secondary metabolite accumulation of Panax quinquefolius between understory and field planting in Shandong, China.
Yue WANG ; Xin-Ying MAO ; Yu DING ; Hong-Xia YU ; Zhi-Fang RAN ; Xiao-Li CHEN ; Jie ZHOU
China Journal of Chinese Materia Medica 2025;50(6):1524-1533
In order to compare the differences in growth and secondary metabolite accumulation of Panax quinquefolius between understory and field planting, growth indexes, photosynthetic characteristics, soil enzyme activities, secondary metabolite contents, and antioxidant activities of P. quinquefolius under different planting modes were examined and compared, and One-way analysis of variance(ANOVA) and correlation analyses were carried out by using the software SPSS 25.0 and GraphPad Prism 9.5. The Origin 2021 software was used for plotting. The results showed that compared with those under field planting, the plant height, leaf length, leaf width, photosynthetic rate, and chlorophyll content of P. quinquefolius under understory planting were significantly reduced, and arbuscular mycorrhizal fungi(AMF) infestation rate and infestation intensity, ginsenoside content, and antioxidant activity were significantly increased. The activities of inter-root soil urease, sucrase, and catalase increased, while the activities of non-inter-root soil urease and alkaline phosphatase increased. Correlation analyses showed that the plant height and leaf length of P. quinquefolius plant were significantly positively correlated with net photosynthetic rate, transpiration rate, chlorophyll content, and electron transfer rate(P<0.05), while ginsenoside content was significantly negatively correlated with net photosynthetic rate, chlorophyll content, and electron transfer rate(P<0.05) and significantly positively correlated with AMF infestation rate and infestation intensity(P<0.05). In addition, ginsenoside content was significantly positively correlated with the activities of inter-root soil sucrase, urease, and catalase(P<0.05). This study provides basic data for revealing the mechanism of secondary metabolite accumulation in P. quinquefolius under understory planting and for exploring and practicing the ecological mode of P. quinquefolius under understory planting.
Panax/microbiology*
;
China
;
Secondary Metabolism
;
Soil/chemistry*
;
Photosynthesis
;
Plant Leaves/metabolism*
;
Chlorophyll/metabolism*
;
Mycorrhizae
3.Tongmai Hypoglycemic Capsule Attenuates Myocardial Oxidative Stress and Fibrosis in the Development of Diabetic Cardiomyopathy in Rats.
Jie-Qiong ZENG ; Hui-Fen ZHOU ; Hai-Xia DU ; Yu-Jia WU ; Qian-Ping MAO ; Jun-Jun YIN ; Hai-Tong WAN ; Jie-Hong YANG
Chinese journal of integrative medicine 2025;31(3):251-260
OBJECTIVE:
To investigate the effect of Tongmai Hypoglycemic Capsule (THC) on myocardium injury in diabetic cardiomyopathy (DCM) rats.
METHODS:
A total of 24 Sprague Dawley rats were fed for 4 weeks with high-fat and high-sugar food and then injected with streptozotocin intraperitoneally for the establishment of the DCM model. In addition, 6 rats with normal diets were used as the control group. After modeling, 24 DCM rats were randomly divided into the model, L-THC, M-THC, and H-THC groups by computer generated random numbers, and 0, 0.16, 0.32, 0.64 g/kg of THC were adopted respectively by gavage, with 6 rats in each group. After 12 weeks of THC administration, echocardiography, histopathological staining, biochemical analysis, and Western blot were used to detect the changes in myocardial structure, oxidative stress (OS), biochemical indexes, protein expressions of myocardial fibrosis, and nuclear factor erythroid 2-related faactor 2 (Nrf2) element, respectively.
RESULTS:
Treatment with THC significantly decreased cardiac markers such as creatine kinase, lactate dehydrogenase, and creatine kinase-MB, etc., (P<0.01); enhanced cardiac function indicators including heart rate, ejection fraction, cardiac output, interventricular septal thickness at diastole, and others (P<0.05 or P<0.01); decreased levels of biochemical indicators such as fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, aspartate transaminase, (P<0.05 or P<0.01); and decreased the levels of myocardial fibrosis markers α-smooth muscle actin (α-SMA), and collagen I (Col-1) protein (P<0.01), improved myocardial morphology and the status of myocardial interstitial fibrosis. THC significantly reduced malondialdehyde levels in model rats (P<0.01), increased levels of catalase, superoxide dismutase, and glutathione (P<0.01), and significantly increased the expression of Nrf2, NAD(P)H:quinone oxidoreductase 1, heme oxygenase-1, and superoxide dismutase 2 proteins in the left ventricle of rats (P<0.01).
CONCLUSION
THC activates the Nrf2 signaling pathway and plays a protective role in reducing OS injury and cardiac fibrosis in DCM rats.
Animals
;
Diabetic Cardiomyopathies/physiopathology*
;
Oxidative Stress/drug effects*
;
Drugs, Chinese Herbal/therapeutic use*
;
Rats, Sprague-Dawley
;
Myocardium/metabolism*
;
Fibrosis
;
Male
;
Capsules
;
Hypoglycemic Agents/therapeutic use*
;
NF-E2-Related Factor 2/metabolism*
;
Rats
;
Diabetes Mellitus, Experimental/drug therapy*
4.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.
5.Antimicrobial resistance of bacteria from pleural and peritoneal effusion:surveillance report from Hunan Provincial Antimicrobial Resistance Sys-tem,2012-2021
Yong-Xue TANG ; Si-Yu WANG ; Xiao-Bing XIE ; Li-Hua CHEN ; Chen-Chao FU ; Chen LI ; Yan-Ming LI ; Jun LIU ; Nan REN ; Guo-Min SHI ; Jing-Min WU ; Huai-De YANG ; Hong-Xia YUAN ; Ming ZHENG ; Xun HUANG ; An-Hua WU ; Xing-Wang NING ; Xi-Mao WEN
Chinese Journal of Infection Control 2023;22(12):1438-1451
Objective To understand the distribution and antimicrobial resistance changes of bacteria isolated from pleural and peritoneal effusion in Hunan Province,and provide reference for correct clinical diagnosis and rational antimicrobial use.Methods Data reported by member units of Hunan Provincial Antimicrobial Resistance Survei-llance System from 2012 to 2021 were collected.Bacteria antimicrobial resistance surveillance method was imple-mented according to technical scheme of China Antimicrobial Resistance Surveillance System(CARSS),and WHO-NET 5.6 software was used to analyze the data of bacteria isolated from pleural and peritoneal effusion as well as antimicrobial susceptibility testing results.Results From 2012 to 2021,a total of 28 934 bacterial strains were iso-lated from specimens of pleural and peritoneal effusions from member units of Hunan Provincial Antimicrobial Re-sistance Surveillance System,with 5 752 strains from pleural effusion and 23 182 from peritoneal effusion.The top five bacteria isolated from pleural effusion were Escherichia coli(n=907,15.8%),Staphylococcus aureus(n=535,9.3%),Klebsiella pneumoniae(n=369,6.4%),Staphylococcus epidermidis(n=452,7.9%),and Staphy-lococcus haemolyticus(n=285,5.0%).The detection rate of methicillin-resistant Staphylococcus aureus(MR-SA)from pleural effusion was 24.3%-39.2%,and that of methicillin-resistant coagulase negative Staphylococcus(MRCNS)was 58.8%-77.1%.The top five bacteria isolated from peritoneal effusion were Escherichia coli(n=8 264,35.6%),Klebsiella pneumoniae(n=2 074,9.0%),Enterococcus faecium(n=1 458,6.3%),Staphylo-coccus epidermidis(n=1 383,6.0%),and Pseudomonas aeruginosa(n=1 152,5.0%).The detection rate of MRSA from peritoneal effusion was 22.1%-52.4%,which presented a decreasing trend(P=0.004).The detec-tion rate of MRCNS was 60.4%-79.4%.The resistance rates of Enterobacterales from peritoneal effusion to ce-fazolin,cefuroxime,ceftriaxone and cefepime all showed decreasing trends(all P<0.05).Vancomycin-,linezo-lid-,and teicoplanin-resistant Staphylococcus strains were not found in pleural and peritoneal effusions.The resis-tance rates of Enterococcus faecium to most tested antimicrobial agents were higher than those of Enterococcus fae-calis.The resistance rates of Enterobacterales to imipenem and meropenem were ≤8.5%.The resistance rates of non-fermentative Gram-negative bacilli to imipenem and meropenem were ≤43.3%.Conclusion The data structure of Hunan Antimicrobial Resistance Surveillance System for pleural and peritoneal effusions from 2012 to 2021 is relatively complete.The constituent and antimicrobial susceptibility of isolated pathogenic bacteria vary in different years.
6.Construction and validation of a low-level disaster resilience prediction model for medical rescue workers
Yehua XU ; Xiaorong MAO ; Jinying GUAN ; Xia ZENG ; Haiyan WANG ; Xuemei CHEN ; Hong CHE
Chinese Journal of Nursing 2023;58(23):2901-2910
Objective To analyze the influencing factors of disaster resilience in medical rescue workers,to construct a prediction model for the low-level risk of disaster resilience in medical rescue workers,and to verify the predictive effect of the model.Methods Using the convenience sampling method and the snowball method,1 037 medical rescue workers who participated in disaster rescue in 18 provinces(autonomous regions and municipalities)were selected as the participants from May to July 2022.Online questionnaire surveys were conducted using general information questionnaires,disaster resilience measuring tools for healthcare rescuers,the Mindful Attention Awareness Scale,the Simple Coping Style Questionnaire and the Depression-Anxiety-Stress Scale.Univariate and multivariate logistic regression analyses were used to determine the independent influencing factors for the low level of disaster resilience of medical rescue workers.A risk prediction model was constructed,and a nomogram chart was drawn.The model's effectiveness was evaluated using the receiver operating characteristic curve(ROC)and calibration curve.The Bootstrap method was applied for internal validation.Results The logistic regression analysis showed that per capita monthly income of households,whether to participate in on-site disaster rescue,positive coping,mindfulness level,and adequacy of rescue supplies were independent influencing factors for the disaster resilience of medical rescue workers(P<0.05).The predictive formula for the low-level risk of disaster resilience in medical rescue workers was established as follows:Logit(P)=8.741-0.381 x per capita monthly income of households-0.891 x whether to participate in on-site disaster rescue-2.544 x positive coping-0.020 x mindfulness level-0.222 x adequacy of rescue supplies.The area under the ROC curve was 0.823,and the optimal critical value was 0.353.The sensitivity and specificity were 79.12%and 71.43%,respectively.The Hosmer-Lemeshow test showed that x2=12.250(P=0.140),and the predicted curve fitted well with the ideal curve.The external validation showed that the sensitivity and specificity of the model were 75.00%and 66.39%,respectively,and the overall accuracy was 69.95%.Conclusion The prediction model in this study has sound predictive effects and can provide references and guidance for managers to select,recruit,and train medical rescue workers.
7.Investigation on the pharmacological mechanisms of Shirebi granules in treating gouty arthritis with damp-heat syndrome based on crosstalk of Wnt/β -catenin signaling
Xin LI ; Xia MAO ; Wang-ming MA ; Hong JIANG ; Lu FU ; Xiao-mei XIANG ; Wen-jia CHEN ; Wei-jie LI ; Ping WANG ; Yan-qiong ZHANG ; Hai-yu XU
Acta Pharmaceutica Sinica 2023;58(8):2424-2433
Gouty arthritis is a type of metabolic rheumatic disease caused by autoimmune abnormalities. Currently, the use of Western medicine in the clinical treatment of gouty arthritis has been associated with a high risk of adverse reactions. Therefore, there is a growing interest in exploring therapeutic drugs from traditional Chinese medicine as a potential alternative. According to the theory of traditional Chinese medicine, gouty arthritis has been classified as damp-heat arthralgia syndrome. Shirebi granules has been found to have good clinical efficacy in treating gouty arthritis. However, its underlying pharmacological mechanisms remain unclear. To address this problem, the study first established the interaction network of candidate targets for Shirebi granules, which is used to treat damp-heat syndrome of gouty arthritis. Then, the key candidate targets of Shirebi granules for treating gouty arthritis with damp-heat syndrome were screened by calculating the topological features of the network nodes. Then, the functional mining of the key candidate targets revealed that the candidate targets of Shirebi granules may intervene in the biological process of inflammatory response and lipid metabolism through the crosstalk of Wnt/
8.Downregulation of cardiac PIASy inhibits Cx43 SUMOylation and ameliorates ventricular arrhythmias in a rat model of myocardial ischemia/reperfusion injury.
Tingting WANG ; Jinmin LIU ; Chenchen HU ; Xin WEI ; Linlin HAN ; Afang ZHU ; Rong WANG ; Zhijun CHEN ; Zhengyuan XIA ; Shanglong YAO ; Weike MAO
Chinese Medical Journal 2023;136(11):1349-1357
BACKGROUND:
Dysfunction of the gap junction channel protein connexin 43 (Cx43) contributes to myocardial ischemia/reperfusion (I/R)-induced ventricular arrhythmias. Cx43 can be regulated by small ubiquitin-like modifier (SUMO) modification. Protein inhibitor of activated STAT Y (PIASy) is an E3 SUMO ligase for its target proteins. However, whether Cx43 is a target protein of PIASy and whether Cx43 SUMOylation plays a role in I/R-induced arrhythmias are largely unknown.
METHODS:
Male Sprague-Dawley rats were infected with PIASy short hairpin ribonucleic acid (shRNA) using recombinant adeno-associated virus subtype 9 (rAAV9). Two weeks later, the rats were subjected to 45 min of left coronary artery occlusion followed by 2 h reperfusion. Electrocardiogram was recorded to assess arrhythmias. Rat ventricular tissues were collected for molecular biological measurements.
RESULTS:
Following 45 min of ischemia, QRS duration and QTc intervals statistically significantly increased, but these values decreased after transfecting PIASy shRNA. PIASy downregulation ameliorated ventricular arrhythmias induced by myocardial I/R, as evidenced by the decreased incidence of ventricular tachycardia and ventricular fibrillation, and reduced arrythmia score. In addition, myocardial I/R statistically significantly induced PIASy expression and Cx43 SUMOylation, accompanied by reduced Cx43 phosphorylation and plakophilin 2 (PKP2) expression. Moreover, PIASy downregulation remarkably reduced Cx43 SUMOylation, accompanied by increased Cx43 phosphorylation and PKP2 expression after I/R.
CONCLUSION
PIASy downregulation inhibited Cx43 SUMOylation and increased PKP2 expression, thereby improving ventricular arrhythmias in ischemic/reperfused rats heart.
Rats
;
Male
;
Animals
;
Myocardial Reperfusion Injury/metabolism*
;
Connexin 43/genetics*
;
Sumoylation
;
Down-Regulation
;
Rats, Sprague-Dawley
;
Arrhythmias, Cardiac/drug therapy*
;
Myocardial Ischemia/metabolism*
;
RNA, Small Interfering/metabolism*
9.Application of toxicant and drug detection in 895 patients with clinical poisoning diseases
Zhenyu XIA ; Zhengshen MAO ; Jinsong ZHANG ; Hao SUN ; Hong SUN ; Weiran XIE ; Lili JIANG ; Li ZHANG ; Xueli JI ; Feng CHEN
Chinese Journal of Emergency Medicine 2023;32(2):186-191
Objective:To explore the diagnostic value of the toxicant and drug detection in clinical poisoning diseases and analyze the clinical characteristics of patients with positive poison test.Methods:This study was a multicenter retrospective cohort study. Sampling and clinical information data were collected between October 1, 2020 and September 30, 2022 from 41 tertiary hospitals in and around Jiangsu province. The clinical characteristics of patients with positive toxicology tests were analyzed, and the correlation between the drug sampling situation and the test results was analyzed..Results:A total of 895 patients with clinical diagnosis or suspected poisoning were enrolled in this study. Among them, 652 patients had positive results, accounting for 72.85%. Among all positive patients, 506 patients were exposed to a single poison and 147 patients were exposed to multiple poisons. The top three poisons were pesticide herbicides (202 cases, 30.98%), sedative and psychotropic drugs (151 cases, 23.16%), and pesticide insecticides (97 cases, 14.88%). Among 541 patients with clear exposure history, the positive rate was 78.19%, and among 354 patients with unclear exposure history, the positive rate was 64.69%. The top three poisons (drugs) of patients with unclear exposure history were sedative and psychotropic (82, 12.58%), herbicide (26, 3.99%), and rodenticide (22, 3.37%). Patients who admitted to hospital for unexplained consciousness disorder, abnormal blood coagulation function and multiple organ dysfunction were more likely to obtain positive poison test results.Conclusions:There is uncertainty in the exposure history of poisoning diseases, so it is necessary to improve the detection of toxic substances as soon as possible. Toxicant testing should be considered when patients have impaired consciousness, abnormal coagulation function and multiple organ dysfunction.
10.BRICS report of 2021: The distribution and antimicrobial resistance profile of clinical bacterial isolates from blood stream infections in China
Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiliang WANG ; Hui DING ; Haifeng MAO ; Yizheng ZHOU ; Yan JIN ; Yongyun LIU ; Yan GENG ; Yuanyuan DAI ; Hong LU ; Peng ZHANG ; Ying HUANG ; Donghong HUANG ; Xinhua QIANG ; Jilu SHEN ; Hongyun XU ; Fenghong CHEN ; Guolin LIAO ; Dan LIU ; Haixin DONG ; Jiangqin SONG ; Lu WANG ; Junmin CAO ; Lixia ZHANG ; Yanhong LI ; Dijing SONG ; Zhuo LI ; Youdong YIN ; Donghua LIU ; Liang GUO ; Qiang LIU ; Baohua ZHANG ; Rong XU ; Yinqiao DONG ; Shuyan HU ; Kunpeng LIANG ; Bo QUAN ; Lin ZHENG ; Ling MENG ; Liang LUAN ; Jinhua LIANG ; Weiping LIU ; Xuefei HU ; Pengpeng TIAN ; Xiaoping YAN ; Aiyun LI ; Jian LI ; Xiusan XIA ; Xiaoyan QI ; Dengyan QIAO ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2023;16(1):33-47
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical bacterial isolates from bloodstream infections in China in 2021.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2021 to December 2021. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 11 013 bacterial strains were collected from 51 hospitals, of which 2 782 (25.3%) were Gram-positive bacteria and 8 231 (74.7%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.6%), Klebsiella pneumoniae (18.9%), Staphylococcus aureus (9.8%), coagulase-negative Staphylococci (6.3%), Pseudomonas aeruginosa (3.6%), Enterococcus faecium (3.6%), Acinetobacter baumannii (2.8%), Enterococcus faecalis (2.7%), Enterobacter cloacae (2.5%) and Klebsiella spp (2.1%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 25.3% and 76.8%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci was detected; more than 95.0% of Staphylococcus aureus were sensitive to ceftobiprole. No vancomycin-resistant Enterococci strains were detected. The rates of extended spectrum B-lactamase (ESBL)-producing isolated in Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 49.6%, 25.5% and 39.0%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.2% and 15.8%, respectively; 7.9% of carbapenem-resistant Klebsiella pneumoniae was resistant to ceftazidime/avibactam combination. Ceftobiprole demonstrated excellent activity against non-ESBL-producing Escherichia coli and Klebsiella pneumoniae. Aztreonam/avibactam was highly active against carbapenem-resistant Escherichia coli and Klebsiella pneumoniae. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii (5.5% and 4.5%). The prevalence of carbapenem-resistance in Pseudomonas aeruginosa was 18.9%. Conclusions:The BRICS surveillance results in 2021 shows that the main pathogens of blood stream infection in China are gram-negative bacteria, in which Escherichia coli is the most common. The MRSA incidence shows a further decreasing trend in China and the overall prevalence of vancomycin-resistant Enterococci is low. The prevalence of Carbapenem-resistant Klebsiella pneumoniae is still on a high level, but the trend is downwards.

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