1.Professor LIU Jinmin's Clinical Experience in Treating Epilepsy Based on the Method of Closing Yangming and Regaining Vital Activity
Lin ZOU ; Tianye SUN ; Mingyuan YAN ; Mi ZHAGN ; Shuai ZHAO ; Kaiyue WANG ; Lili LI ;
Journal of Traditional Chinese Medicine 2025;66(4):344-348
To summarize the clinical experience of Professor LIU Jinmin in treatment for epilepsy. It is believed that main pathogenesis of epilepsy is yangming failure to close and vital activity loss control, so a therapeutic approach focused on restoring the closure of yangming and regaining vital activity was proposed for the treatment of epilepsy. For excess syndrome, the treatment focuses on draining excess and descending qi, promoting purgation and restoring spirit. When yangming dryness-heat predominates, the approach involves unblock the bowels and regulating the spirit, descending qi and reducing fire, with modified Chengqi Decoction (承气汤) as prescription; when yangming phlegm-fire predominates, the treatment focuses on clearing heat and resolving phlegm, calming mind and suppressing fright, with modified Qingxin Wendan Decoction (清心温胆汤) as prescription; when yangming blood stasis predominates, the approach involves breaking up blood stasis and promoting purgation, eliminating stasis and awakening the mind, with Taoren Chengqi Decoction (桃核承气汤) as prescription. For deficiency syndrome, the treatment emphasizes tonifying deficiency and raising qi, strengthening the stomach and nourishing the spirit. When center qi deficiency and sinking of clear qi of the nutrients from food, the approach involves replenishing and uplifting qi while nourishing vital activity, with modified Liujunzi Decoction (六君子汤) as prescription; when yin deficiency and fluid consumption, the treatment focuses on nourishing stomach and tonifying yin, promoting fluid production and calming the spirit, with modified Maimendong Decoction (麦门冬汤) combined with Yiwei Decoction (益胃汤) as prescriptions. In clinical situations of deficiency-excess complex, it is essential to distinguish the primary condition from the secondary, applying both supplementing and draining methods flexibly to achieve optimal treatment.
2.Expert Consensus on Clinical Application of Pingxuan Capsules
Yuer HU ; Yanming XIE ; Yaming LIN ; Yuanqi ZHAO ; Yihuai ZOU ; Mingquan LI ; Xiaoming SHEN ; Wei PENG ; Changkuan FU ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):201-210
As a patented characteristic medicine of Yi ethnic minority, Pingxuan capsules have the effects of nourishing the liver and kidney, pacifying the liver, and subduing Yang. With the main indications of dizziness, headache, palpitations, tinnitus, insomnia, dreaminess, waist and knee soreness caused by liver-kidney deficiency and liver Yang upward disturbance, Pingxuan capsules are widely used in the treatment of posterior circulation ischemic vertigo, vestibular migraine, benign paroxysmal positional vertigo. However, the current knowledge is limited regarding the efficacy, syndrome differentiation, and safety of this medicine. On the basis of summarizing the experience of clinicians and the existing evidence, this study invites clinical experts of traditional Chinese and Western medicine, pharmaceutical experts, and methodological experts from relevant fields across China to conduct evidence-based evaluation of Pingxuan capsules. The evaluation follows the Specifications for the Development of Clinical Expert Consensus on Chinese Patent Medicines issued by the Standardization Office of the China Association of Chinese Medicine, and reaches 5 recommendations and 16 consensus suggestions. The consensus clarifies the clinical applications, efficacy, dose, course of treatment, combination of medicines, precautions, and contraindications of Pingxuan capsules in the treatment of vertigo and explains the safety of clinical application. This consensus is applicable to clinicians (traditional Chinese medicine, Western medicine, and integrated traditional Chinese and Western medicine) and pharmacists in tertiary hospitals, secondary hospitals, and community-level medical and health institutions across China, providing a reference for the rational use of Pingxuan capsules in the treatment of vertigo. It is hoped that the promotion of this consensus can facilitate the rational use of drugs in clinical practice, reduce the risk of drug use, and give full play to the advantages of Pingxuan capsules in the treatment of vertigo diseases. This consensus has been reviewed and published by the China Association of Chinese Medicine, with the number GS/CACM330-2023.
3.Effect of Serum Containing Zhenwutang on Apoptosis of Myocardial Mast Cells and Mitochondrial Autophagy
Wei TANG ; Meiqun ZHENG ; Xiaolin WANG ; Zhiyong CHEN ; Chi CHE ; Zongqiong LU ; Jiashuai GUO ; Xiaomei ZOU ; Lili XU ; Lin LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(3):11-21
ObjectiveTo explore the effect of serum containing Zhenwutang on myocardial mast cell apoptosis induced by angiotensin Ⅱ (AngⅡ) and the mechanism of the correlation between apoptosis and mitochondrial autophagy. MethodsIn this experiment, AngⅡ and serum containing Zhenwutang with different concentrations were used to interfere with H9C2 cardiomyocytes for 24 h, and the survival rate of H9C2 cardiomyocytes was detected by cell counting kit-8 (CCK-8) to screen the optimal concentration for the experiment. Enzyme-linked immunosorbent assay (ELISA) was used to detect the content of B-type natriuretic peptide (BNP) in cell culture supernatant, and immunofluorescence was used to detect the cell surface area to verify the construction of the myocardial mast cell model. Subsequently, the experiment was divided into a blank group (20% blank serum), a model group (20% blank serum + 5×10-5 mol·L-1 AngⅡ), low-, medium-, and high-dose (5%, 10% and 20%) serum containing Zhenwutang groups, an autophagy inhibitor group (1×10-4 mol·L-1 3-MA), and autophagy inducer group (1×10-7 mol·L-1 rapamycin). The apoptosis level of H9C2 cells and the changes of mitochondrial membrane potential were detected by flow cytometry. The lysosomal probe (Lyso Tracker) and mitochondrial probe (Mito Tracker) co-localization was employed to detect autophagy. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was used to detect Caspase-3, Caspase-9, B-cell lymphoma 2 (Bcl-2), Bcl-2-related X protein (Bax), and cytochrome C (Cyt C) in apoptosis-related pathways and the relative mRNA expression of ubiquitin ligase (Parkin), phosphatase and tensin homolog (PTEN)-induced kinase 1 (PINK1), and p62 protein in mitochondrial autophagy-related pathways. Western blot was used to detect cleaved Caspase-3, cleaved Caspase-9, Bax, Bcl-2, and Cyt C in apoptosis-related pathways, phosphorylated ubiquitin ligase (p-Parkin), phosphorylated PTEN-induced kinase 1 (p-PINK1), p62, and Bcl-2 homology domain protein Beclin1 in mitochondrial autophagy-related pathways, and the change of microtubule-associated protein 1 light chain 3 (LC3) Ⅱ/Ⅰ ratio. ResultsCCK-8 showed that when the concentration of AngⅡ was 5×10-5 mol·L-1, the cell activity was the lowest, and there was no cytotoxicity. At this concentration, the surface area of cardiomyocytes was significantly increased (P<0.01), and the content of BNP in the supernatant of culture medium was significantly increased (P<0.05). Therefore, AngⅡ with a concentration of 5×10-5 mol·L-1 was selected for the subsequent modeling of myocardial mast cells. Compared with the blank group, the model group and the autophagy inhibitor 3-MA group had a significantly increased apoptosis rate (P<0.01) and significantly decreased mitochondrial membrane potential (P<0.01). The results of immunofluorescence co-localization showed that compared with the blank group, the model group had a significantly decreased number of red and green fluorescence spots. The results of Real-time PCR showed that compared with that in the blank group, the relative mRNA expression of Bax, Caspase-3, Caspase-9, Cyt C, and p62 in the model group was significantly up-regulated (P<0.01), while the relative mRNA expression of Bcl-2, Parkin, and PINK1 was significantly down-regulated (P<0.01). In addition, the relative protein expression of Bax, cleaved Caspase-3, cleaved Caspase-9, Cyt C, and p62 was significantly up-regulated (P<0.01). The LC3Ⅱ/Ⅰ was significantly decreased, and the relative protein expression of Bcl-2, p-Parkin, p-PINK1, and Beclin1 was significantly down-regulated (P<0.01). Compared with the model group, the serum containing Zhenwutang groups and the autophagy inducer group had significantly decreased apoptosis rate (P<0.01), and the decrease ratio of mitochondrial membrane potential is significantly lowered (P<0.01) in a dose-dependent manner. Additionally, both red and green fluorescence spots became more in these groups. In the 3-MA group, the number of red and green fluorescence spots decreased significantly. The relative mRNA expression of Bax, Caspase-3, Caspase-9, Cyt C, and p62 was significantly down-regulated (P<0.05, P<0.01), while that of Bcl-2, Parkin, and PINK1 was significantly up-regulated (P<0.01). In the serum containing Zhenwutang groups, the relative protein expression levels of Bax, cleaved Caspase-3, cleaved Caspase-9, Cyt C, and p62 were significantly down-regulated (P<0.05,P<0.01). The LC3Ⅱ/Ⅰ was significantly increased, and the relative protein expression levels of Bcl-2, p-Parkin, p-PINK1, and Beclin1 were significantly up-regulated (P<0.01). ConclusionThe serum containing Zhenwutang can reduce the apoptosis of myocardial mast cells and increase mitochondrial autophagy. This is related to the inhibition of intracellular Bax/Bcl-2/Caspase-3 apoptosis pathway and regulation of Parkin/PINK1 mitochondrial autophagy pathway.
4.Clinical features of recompensation in autoimmune hepatitis-related decompensated cirrhosis and related predictive factors
Xiaolong LU ; Lin HAN ; Huan XIE ; Lilong YAN ; Xuemei MA ; Dongyan LIU ; Xun LI ; Qingsheng LIANG ; Zhengsheng ZOU ; Caizhe GU ; Ying SUN
Journal of Clinical Hepatology 2025;41(9):1808-1817
ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis (AIH)-related decompensated cirrhosis, to identify independent predictive factors, and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 (n=211). The primary endpoint was achievement of recompensation, and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up, the patients were divided into the recompensation group (n=16) and the persistent decompensation group(n=150).The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance, and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups; the Kaplan-Meier method was used for survival analysis; the Cox proportional-hazards regression model was used to identify independent predictive factors, and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled, with a median age of 55.0 years and a median follow-up time of 44.0 months, and female patients accounted for 87.2%. Among the 211 patients, 61 (with a cumulative proportion of 35.5%) achieved recompensation. Compared with the persistent decompensation group, the recompensation group had significantly higher white blood cell count, platelet count (PLT), total bilirubin (TBil), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bile acid, prothrombin time, international normalized ratio (INR), SMA positive rate, Model for End-Stage Liver Disease (MELD) score, Child-Pugh score, and rate of use of glucocorticoids (all P0.05), as well as significantly lower age at baseline, number of complications, and death/liver transplantation rate (all P0.05). At 3 and 12 months after treatment, the recompensation group had continuous improvements in AST, TBil, INR, IgG, MELD score, and Child-Pugh score, which were significantly lower than the values in the persistent decompensation group (all P0.05), alongside with continuous increases in PLT and albumin, which were significantly higher than the values in the persistent decompensation group (P0.05). The multivariate Cox regression analysis showed that baseline ALT (hazard ratio [HR]=1.067, 95% confidence interval [CI]: 1.010 — 1.127, P=0.021), IgG (HR=0.463,95%CI:0.258 — 0.833, P=0.010), SMA positivity (HR=3.122,95%CI:1.768 — 5.515, P0.001), and glucocorticoid therapy (HR=20.651,95%CI:8.744 — 48.770, P0.001) were independent predictive factors for recompensation, and the nomogram model based on these predictive factors showed excellent predictive performance (C-index=0.87,95%CI:0.84 — 0.90). ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity, a high level of ALT, a low level of IgG, and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.
5.Bidirectional relationship between type 2 diabetes mellitus and coronary artery disease: Prospective cohort study and genetic analyses
Wenqiang ZHANG ; Li ZHANG ; Chenghan XIAO ; Xueyao WU ; Huijie CUI ; Chao YANG ; Peijing YAN ; Mingshuang TANG ; Yutong WANG ; Lin CHEN ; Yunjie LIU ; Yanqiu ZOU ; Ling ZHANG ; Chunxia YANG ; Yuqin YAO ; Jiayuan LI ; Zhenmi LIU ; Xia JIANG ; Ben ZHANG
Chinese Medical Journal 2024;137(5):577-587
Background::While type 2 diabetes mellitus (T2DM) is considered a putative causal risk factor for coronary artery disease (CAD), the intrinsic link underlying T2DM and CAD is not fully understood. We aimed to highlight the importance of integrated care targeting both diseases by investigating the phenotypic and genetic relationships between T2DM and CAD.Methods::We evaluated phenotypic associations using data from the United Kingdom Biobank ( N = 472,050). We investigated genetic relationships by leveraging genomic data conducted in European ancestry for T2DM, with and without adjustment for body mass index (BMI) (T2DM: Ncase/ Ncontrol = 74,124/824,006; T2DM adjusted for BMI [T2DM adjBMI]: Ncase/ Ncontrol = 50,409/523,897) and for CAD ( Ncase/ Ncontrol = 181,522/984,168). We performed additional analyses using genomic data conducted in multiancestry individuals for T2DM ( Ncase/ Ncontrol = 180,834/1,159,055). Results::Observational analysis suggested a bidirectional relationship between T2DM and CAD (T2DM→CAD: hazard ratio [HR] = 2.12, 95% confidence interval [CI]: 2.01–2.24; CAD→T2DM: HR = 1.72, 95% CI: 1.63–1.81). A positive overall genetic correlation between T2DM and CAD was observed ( rg = 0.39, P = 1.43 × 10 -75), which was largely independent of BMI (T2DM adjBMI–CAD: rg = 0.31, P = 1.20 × 10 –36). This was corroborated by six local signals, among which 9p21.3 showed the strongest genetic correlation. Cross-trait meta-analysis replicated 101 previously reported loci and discovered six novel pleiotropic loci. Mendelian randomization analysis supported a bidirectional causal relationship (T2DM→CAD: odds ratio [OR] = 1.13, 95% CI: 1.11-1.16; CAD→T2DM: OR = 1.12, 95% CI: 1.07-1.18), which was confirmed in multiancestry individuals (T2DM→CAD: OR = 1.13, 95% CI: 1.10-1.16; CAD→T2DM: OR = 1.08, 95% CI: 1.04-1.13). This bidirectional relationship was significantly mediated by systolic blood pressure and intake of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, with mediation proportions of 54.1% (95% CI: 24.9-83.4%) and 90.4% (95% CI: 29.3-151.5%), respectively. Conclusion::Our observational and genetic analyses demonstrated an intrinsic bidirectional relationship between T2DM and CAD and clarified the biological mechanisms underlying this relationship.
6.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.
7.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.
8.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
9.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo 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 ; 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 ; Hongyan ZHENG ; 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 ; Wenhui HUANG ; 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(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.
10.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; 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 ; 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 ; Wenhui HUANG ; 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(4):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.

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