1.Clinical Efficacy and Mechanism of Shengmai Jiuxin Decoction in Treating Chronic Heart Failure with Qi and Yin Deficiency, Yang Deficiency, and Blood Stasis
Yiming YAO ; Hongjun ZHU ; Yang ZHAO ; Man SHI ; Yujin GONG ; Yuan WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):151-158
ObjectiveTo investigate the clinical efficacy and potential mechanism of Shengmai Jiuxin decoction in the treatment of acute decompensated heart failure (ADHF) with the traditional Chinese medicine (TCM) pattern of Qi and Yin deficiency, Yang deficiency, and blood stasis. MethodsA total of 68 patients diagnosed with ADHF of Qi and Yin deficiency, Yang deficiency, and blood stasis type were randomly assigned to an observation group (34 cases) and a control group (34 cases). Both groups received conventional Western medical treatment, while the observation group was additionally administered Shengmai Jiuxin decoction. Parameters compared before and after treatment included: TCM syndrome score, TCM syndrome efficacy, New York Heart Association (NYHA) functional classification, left ventricular ejection fraction (LVEF), N-terminal pro-B-type natriuretic peptide (NT-proBNP), six-minute walk distance (6MWD), hypoxia-inducible factor-1 alpha (HIF-1α), vascular endothelial growth factor A (VEGF-A), Caspase-3, and the number of rehospitalizations for heart failure within one month after discharge. ResultsThere were no significant differences in sex, age, vital signs, or underlying diseases between the two groups. Compared with baseline, both groups exhibited significant reductions in TCM syndrome scores, NT-proBNP, and HIF-1α levels (P<0.01), as well as significant increases in 6MWD, LVEF, VEGF-A, and Caspase-3 levels (P<0.05, P<0.01). After treatment, the observation group showed significantly greater reductions in TCM syndrome score, NT-proBNP, HIF-1α, and Caspase-3 levels compared with the control group (P<0.05) and significantly greater increases in 6MWD, TCM syndrome efficacy, and VEGF-A levels (P<0.05). No significant differences were observed between the groups in NYHA functional classification, LVEF, or the number of rehospitalizations for heart failure within one month after discharge. No drug-related adverse events were reported in either group during the treatment period. ConclusionShengmai Jiuxin decoction can improve cardiac function and clinical symptoms in patients with ADHF of Qi and Yin deficiency, Yang deficiency, and blood stasis type. Its mechanisms may be related to the regulation of the HIF-1 signaling pathway by modulating targets such as HIF-1α, VEGF-A, and Caspase-3.
2.Clinical Efficacy and Mechanism of Shengmai Jiuxin Decoction in Treating Chronic Heart Failure with Qi and Yin Deficiency, Yang Deficiency, and Blood Stasis
Yiming YAO ; Hongjun ZHU ; Yang ZHAO ; Man SHI ; Yujin GONG ; Yuan WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):151-158
ObjectiveTo investigate the clinical efficacy and potential mechanism of Shengmai Jiuxin decoction in the treatment of acute decompensated heart failure (ADHF) with the traditional Chinese medicine (TCM) pattern of Qi and Yin deficiency, Yang deficiency, and blood stasis. MethodsA total of 68 patients diagnosed with ADHF of Qi and Yin deficiency, Yang deficiency, and blood stasis type were randomly assigned to an observation group (34 cases) and a control group (34 cases). Both groups received conventional Western medical treatment, while the observation group was additionally administered Shengmai Jiuxin decoction. Parameters compared before and after treatment included: TCM syndrome score, TCM syndrome efficacy, New York Heart Association (NYHA) functional classification, left ventricular ejection fraction (LVEF), N-terminal pro-B-type natriuretic peptide (NT-proBNP), six-minute walk distance (6MWD), hypoxia-inducible factor-1 alpha (HIF-1α), vascular endothelial growth factor A (VEGF-A), Caspase-3, and the number of rehospitalizations for heart failure within one month after discharge. ResultsThere were no significant differences in sex, age, vital signs, or underlying diseases between the two groups. Compared with baseline, both groups exhibited significant reductions in TCM syndrome scores, NT-proBNP, and HIF-1α levels (P<0.01), as well as significant increases in 6MWD, LVEF, VEGF-A, and Caspase-3 levels (P<0.05, P<0.01). After treatment, the observation group showed significantly greater reductions in TCM syndrome score, NT-proBNP, HIF-1α, and Caspase-3 levels compared with the control group (P<0.05) and significantly greater increases in 6MWD, TCM syndrome efficacy, and VEGF-A levels (P<0.05). No significant differences were observed between the groups in NYHA functional classification, LVEF, or the number of rehospitalizations for heart failure within one month after discharge. No drug-related adverse events were reported in either group during the treatment period. ConclusionShengmai Jiuxin decoction can improve cardiac function and clinical symptoms in patients with ADHF of Qi and Yin deficiency, Yang deficiency, and blood stasis type. Its mechanisms may be related to the regulation of the HIF-1 signaling pathway by modulating targets such as HIF-1α, VEGF-A, and Caspase-3.
3.Studies on the best production mode of traditional Chinese medicine driven by artificial intelligence and its engineering application.
Zheng LI ; Ning-Tao CHENG ; Xiao-Ping ZHAO ; Yi TAO ; Qi-Long XUE ; Xing-Chu GONG ; Yang YU ; Jie-Qiang ZHU ; Yi WANG
China Journal of Chinese Materia Medica 2025;50(12):3197-3203
The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence
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Drugs, Chinese Herbal
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Medicine, Chinese Traditional/methods*
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Humans
4.Developing a polygenic risk score for pelvic organ prolapse: a combined risk assessment approach in Chinese women.
Xi CHENG ; Lei LI ; Xijuan LIN ; Na CHEN ; Xudong LIU ; Yaqian LI ; Zhaoai LI ; Jian GONG ; Qing LIU ; Yuling WANG ; Juntao WANG ; Zhijun XIA ; Yongxian LU ; Hangmei JIN ; Xiaowei ZHANG ; Luwen WANG ; Juan CHEN ; Guorong FAN ; Shan DENG ; Sen ZHAO ; Lan ZHU
Frontiers of Medicine 2025;19(4):665-674
Pelvic organ prolapse (POP), whose etiology is influenced by genetic and clinical risk factors, considerably impacts women's quality of life. However, the genetic underpinnings in non-European populations and comprehensive risk models integrating genetic and clinical factors remain underexplored. This study constructed the first polygenic risk score (PRS) for POP in the Chinese population by utilizing 20 disease-associated variants from the largest existing genome-wide association study. We analyzed a discovery cohort of 576 cases and 623 controls and a validation cohort of 264 cases and 200 controls. Results showed that the case group exhibited a significantly higher PRS than the control group. Moreover, the odds ratio of the top 10% risk group was 2.6 times higher than that of the bottom 10%. A high PRS was significantly correlated with POP occurrence in women older than 50 years old and in those with one or no childbirths. As far as we know, the integrated prediction model, which combined PRS and clinical risk factors, demonstrated better predictive accuracy than other existing PRS models. This combined risk assessment model serves as a robust tool for POP risk prediction and stratification, thereby offering insights into individualized preventive measures and treatment strategies in future clinical practice.
Humans
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Female
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Pelvic Organ Prolapse/epidemiology*
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Middle Aged
;
Risk Assessment/methods*
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China/epidemiology*
;
Multifactorial Inheritance
;
Aged
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Risk Factors
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Genome-Wide Association Study
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Genetic Predisposition to Disease
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Case-Control Studies
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Adult
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Polymorphism, Single Nucleotide
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Genetic Risk Score
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East Asian People
5.Correlations of brain network functional connectivity alterations with cerebrospinal fluid pathological markers in patients with Alzheimer's disease
Chengbing GONG ; Zhengyang ZHU ; Jingxian XU ; Wenting SONG ; Haifeng CHEN ; Ruomeng QIN ; Hui ZHAO ; Yun XU
Chinese Journal of Neuromedicine 2024;23(1):18-26
Objective:To explore the correlations of brain network functional connectivity (FC) alterations with cerebrospinal fluid (CSF) pathological biomarkers in patients with Alzheimer's disease (AD).Methods:A total of 39 patients with cognitive impairment, admitted to Department of Neurology, Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2020 to December 2022 were recruited; 23 patients were with AD and 16 with non-AD. Clinical data were compared between the 2 groups. Resting-state functional MRI (rs-fMRI) data were collected, and FC differences between brain networks and FC differences within brain networks were compared by independent component analysis. Correlations of FC differences between brain networks and FC differences within brain networks with concentrations of β-amyloid protein 1-42 (Aβ 1-42) and Tau protein in CSF were analyzed. Results:Compared with the non-AD group, AD group had significantly lower Aβ 1-42 in CSF ( P<0.05). Compared with those in the non-AD group, FC alterations between the left frontoparietal network (lFPN) and anterior default mode network (aDMN) and between the visual network (VN) and posterior cingulate cortex (PCC), as well as FC alterations in lFPN, were significantly increased in AD group ( P<0.05). Compared with those in the non-AD group, FC alterations between lFPN and cerebellar network (CEN), and FC alterations in aDMN, sensorimotor network (SMN) and VN were significantly decreased in AD group ( P<0.05). In AD group, FC in SMN was positively correlated with total Tau and phosphorylated-Tau181 in CSF ( P<0.05); FC between VN and PCC was positively correlated with total Tau in CSF ( P<0.05). CSF Aβ 1-42 was positively correlated with FC alterations in aDMN and VN, but negatively correlated with FC in FPN ( P<0.05). Conclusion:In AD patients, characteristic changes in FC within and between multiple brain networks are noted, which are related to changes of Tau protein and Aβ 1-42 in CSF.
6.Effectiveness and Safety of Qiaoqi Formula (翘芪组方) for Mild Influenza: A 36-case Randomized Controlled Trial
Desong KONG ; Feng ZHAO ; Yanliang ZHANG ; Yu ZHANG ; Jinghua ZHANG ; Ye YANG ; Guoxue ZHU ; Leilei GONG ; Xiaosong GU ; Heming YU
Journal of Traditional Chinese Medicine 2024;65(7):710-715
ObjectiveTo evaluate the effectiveness and safety of Qiaoqi Formula (翘芪组方) for mild influenza. MethodsA randomized controlled study was designed, recruiting 74 patients with mild influenza, who were randomly divided into trial group and control group. The trial group took Qiaoqi Formula orally, 40ml each time, twice a day; the control group took Lianhua Qingwen Capsules (连花清瘟胶囊) orally, 1.4 g each time, three times a day. Both groups were treated for 3 consecutive days and follow-up for 4 consecutive days after treatment. The time for fever reduction including onset of fever reduction, complete fever reduction time, fever reduction rates at 24, 48 and 72 hours, improvement of influenza symptoms, total traditional Chinese medicine (TCM) symptom score, and safety indicators in two groups after treatment were recorded. ResultsSixty-five patients were ultimately included, including 36 in the trial group and 29 in the control group. Onset time of fever reduction in the trial group was (15.49±23.47) h, the complete fever reduction time (21.37±30.06)h, and the 24 h, 48 h, 72 h, fever reduction rate was 77.14%, 88.57%, 91.42% respectively. The above indicators of the control group showed as (17.58±20.38)h, (24.30±21.87)h, 61.29%, 90.32%, 96.77% respectively, with no statistically significant differences (P>0.05). On the 7th day after treatment, the total score of TCM syndromes in trial group and control group decreased compared to those before treatment (P<0.05). There was no statistically significant difference in the cure rate, significant effective rate, effective rate, and total effective rate of TCM syndromes between groups (P>0.05). On the 4th day, the lymphocyte ratio of patients in the control group was higher than before treatment, while alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea, and creatinine of both groups before and after treatment were within the normal range. The main adverse reactions in both groups were mild headache and dizziness, and no serious adverse reactions observed. ConclusionThe therapeutic effect of Qiaoqi Formula in treating mild influenza is equivalent to Lianhua Qingwen Capsules, which can shorten the fever reduction time, improve clinical symptoms, and no adverse events observed during the study.
7.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.
8.Protective effects of Shiwei Ruxiang Powder on renal injury in rats with gouty nephritis by regulating mitochondrial autophagy
Yan-Rong ZHU ; He-Bing XIE ; Chun-Xiang GONG ; Jie-Nan ZHAO ; Zhi-Bing YUAN
Chinese Traditional Patent Medicine 2024;46(9):2923-2930
AIM To investigate the renal protective effects of Shiwei Ruxiang Powder on gouty nephritis in rats based on mitophagy.METHODS Rats were randomly divided into the blank group,the model group,the low-dose,medium-dose,and high-dose Shiwei Ruxiang Powder groups(200,400,800 mg/kg)and allopurinol group(10 mg/kg).The rat model of gouty nephropathy was established by gavage of potassium oxyzinate(750 mg/kg)and uric acid(300 mg/kg).The rats had their levels of UA,SCr,BUN,XOD,SOD,MDA,ROS measured by automatic biochemical analyzer,ELISA and chemical fluorescence method;their renal pathological changes observed by HE staining;their apoptosis of renal tissue cells observed by TUNEL staining;and their mRNA and protein expressions of IL-1β,TNF-α,Bax,Bcl-2,caspase-3,caspase-9,PINK1,Parkin and LC3-Ⅱ detected by RT-qPCR and Western blot.RESULTS Compared with the model group,Shiwei Ruxiang Powder groups displayed dose-dependently decreased serum levels of UA,BUN and SCr,renal deposition of urate crystal and apoptosis(P<0.05);decreased renal levels of ROS and inflammatory factors IL-1β and TNF-α(P<0.05);and increased renal expressions of mitochondrial autophagy-related proteins PINK1,Parkin and LC3-Ⅱ(P<0.01).CONCLUSION Shiwei Ruxiang Powder may relieve gouty kidney injury in rats by reducing the uric acid level,the renal oxidative stress and inflammatory response,and activating mitophagy pathway as well.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; 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 ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.

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