1.Clinical Efficacy of Zhuyuwan in Treatment of Hyperlipidemia with Syndrome of Phlegm Turbidity and Obstruction
Lele YANG ; Danmei LUO ; Jiao CHEN ; Xiaobo ZHANG ; Wei SONG ; Wenyu ZHU ; Xin ZHOU ; Xueping LI ; Tao SHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):29-37
ObjectiveTo observe the clinical efficacy and safety of Zhuyuwan in the treatment of hyperlipidemia. MethodsIn this study, hyperlipidemia patients treated in the Hospital of Chengdu University of Traditional Chinese Medicine (TCM) from September 2022 to December 2023 were randomly assigned into a control group and an observation group. Finally, 162 valid cases were included, encompassing 74 cases in the control group and 88 cases in the observation group. The control group was treated with atorvastatin calcium tablets, and the observation group with atorvastatin calcium tablets + Zhuyuwan extract granules. Both groups were treated for 8 weeks. The efficacy in terms of blood lipid level recovery, blood lipid levels, TCM syndrome distribution, efficacy in terms of TCM syndrome, and TCM symptom scores were compared between the two groups as well as between before and after treatment. Liver and kidney functions were monitored for safety assessment. ResultsIn terms of blood lipid level recovery, the total response rate in the observation group was 86.36% (76/88) and that in the control group was 86.49% (64/74), with no statistically significant difference between the two groups. After treatment, both groups showed declines in levels of triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) (P<0.05) and elevations in the level of high-density lipoprotein cholesterol (HDL-C) (P<0.05). Moreover, the observation group outperformed the control group in recovering the levels of TG, LDL-C, and HDL-C (P<0.05, P<0.01). In terms of TCM syndrome, hyperlipidemia was mostly caused by phlegm turbidity and obstruction. The total response rate in terms of TCM syndrome in the observation group was 87.30% (55/63), which was higher than that (63.46%, 33/52) in the control group (χ2=9.102, P<0.01). After treatment, the scores of total TCM symptoms, primary symptoms, and secondary symptoms decreased in both groups (P<0.05), and the observation group had lower scores than the control group (P<0.01). The observation group was superior to the control group in alleviating obesity, chest tightness, and low food intake (P<0.05). In terms of safety, the level of aminotransferase was slightly elevated in the control group, and no obvious adverse reaction was observed in the observation group, with no statistical significance in the incidence of adverse reactions. ConclusionZhuyuwan combined with atorvastatin can not only recover blood lipid levels and alleviate TCM symptoms but also reduce the occurrence of adverse reactions.
2.Clinical Efficacy of Zhuyuwan in Treatment of Hyperlipidemia with Syndrome of Phlegm Turbidity and Obstruction
Lele YANG ; Danmei LUO ; Jiao CHEN ; Xiaobo ZHANG ; Wei SONG ; Wenyu ZHU ; Xin ZHOU ; Xueping LI ; Tao SHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):29-37
ObjectiveTo observe the clinical efficacy and safety of Zhuyuwan in the treatment of hyperlipidemia. MethodsIn this study, hyperlipidemia patients treated in the Hospital of Chengdu University of Traditional Chinese Medicine (TCM) from September 2022 to December 2023 were randomly assigned into a control group and an observation group. Finally, 162 valid cases were included, encompassing 74 cases in the control group and 88 cases in the observation group. The control group was treated with atorvastatin calcium tablets, and the observation group with atorvastatin calcium tablets + Zhuyuwan extract granules. Both groups were treated for 8 weeks. The efficacy in terms of blood lipid level recovery, blood lipid levels, TCM syndrome distribution, efficacy in terms of TCM syndrome, and TCM symptom scores were compared between the two groups as well as between before and after treatment. Liver and kidney functions were monitored for safety assessment. ResultsIn terms of blood lipid level recovery, the total response rate in the observation group was 86.36% (76/88) and that in the control group was 86.49% (64/74), with no statistically significant difference between the two groups. After treatment, both groups showed declines in levels of triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) (P<0.05) and elevations in the level of high-density lipoprotein cholesterol (HDL-C) (P<0.05). Moreover, the observation group outperformed the control group in recovering the levels of TG, LDL-C, and HDL-C (P<0.05, P<0.01). In terms of TCM syndrome, hyperlipidemia was mostly caused by phlegm turbidity and obstruction. The total response rate in terms of TCM syndrome in the observation group was 87.30% (55/63), which was higher than that (63.46%, 33/52) in the control group (χ2=9.102, P<0.01). After treatment, the scores of total TCM symptoms, primary symptoms, and secondary symptoms decreased in both groups (P<0.05), and the observation group had lower scores than the control group (P<0.01). The observation group was superior to the control group in alleviating obesity, chest tightness, and low food intake (P<0.05). In terms of safety, the level of aminotransferase was slightly elevated in the control group, and no obvious adverse reaction was observed in the observation group, with no statistical significance in the incidence of adverse reactions. ConclusionZhuyuwan combined with atorvastatin can not only recover blood lipid levels and alleviate TCM symptoms but also reduce the occurrence of adverse reactions.
3.Differentiation and Treatment of Lipid Turbidity Disease Based on Theory of "Spleen Ascending and Stomach Descending"
Yun HUANG ; Wenyu ZHU ; Wei SONG ; Xiaobo ZHANG ; Xin ZHOU ; Lele YANG ; Tao SHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(3):244-252
Lipid turbidity disease is a metabolic disease featuring lipid metabolism disorders caused by many factors such as social environment, diet, and lifestyle, which is closely related to many diseases in modern medicine, such as hyperlipidemia, obesity, fatty liver, atherosclerosis, metabolic syndrome, and cardiovascular and cerebrovascular diseases, with a wide range of influence and far-reaching harm. According to the Huangdi Neijing, lipid turbidity disease reflects the pathological change of the body's physiologic grease. Grease is the thick part of body fluids, which has the function of nourishing, and it is the initial state and source of important substances in the human body such as brain, marrow, essence, and blood. Once the grease of the human body is abnormal, it can lead to lipid turbidity disease. The Huangdi Neijing also points out the physiological relationship between the transportation and transformation of body fluids and the rise and fall of the spleen and stomach, which can deduce the pathological relationship between the occurrence of lipid turbidity disease and the abnormal rise and fall of the spleen and stomach functions. Lipid turbidity disease is caused by overconsumption of fatty and sweet foods or insufficient spleen and stomach endowments, leading to disorders of the function of promoting clear and reducing turbidity in the spleen and stomach. This leads to the transformation of thick grease in body fluids into lipid turbidity, which accumulates in the body's meridians, blood vessels, skin pores, and organs, forming various forms of metabolic diseases. The research team believed that the pathological basis of lipid turbidity disease was the abnormal rise and fall of the spleen and stomach and the obstruction of the transfer of grease. According to the different locations where lipid turbidity stays, it was divided into four common pathogenesis types: ''inability to distinguish between the clear and turbid, turbid stagnation in the Ying blood'', ''spleen not rising clear, turbid accumulation in the vessels'', ''spleen dysfunction, lipid retention in the pores'', ''spleen failure to transportation and transformation, and grease accumulation in the liver''. According to the pathogenesis, it could be divided into four common syndromes, namely, turbid stagnation in the Ying blood, turbid accumulation in the vessels, lipid retention in the pores, and grease accumulation in the liver, and the corresponding prescriptions were given for syndrome differentiation and treatment, so as to guide clinical differentiation and treatment of the lipid turbidity disease.
4.Survey on the awareness and clinical application of guidelines for the prevention and treatment of chronic hepatitis B (2022 edition) among clinicians
Yuanyuan KONG ; Yujie GUO ; Yujuan GUAN ; Xuan LIANG ; Zhongjie HU ; Xiaobo LU ; Mingqin LU ; Yongfeng YANG ; Meifang HAN ; Hong YOU ; Zhiyun YANG ; Jidong JIA
Journal of Clinical Hepatology 2025;41(6):1068-1074
ObjectiveTo investigate the awareness and clinical practice of guidelines for the prevention and treatment of chronic hepatitis B (2022 edition) among clinicians. MethodsFrom July 19 to December 31, 2024, a self-designed electronic questionnaire was distributed via the WeChat mini program to collect related data from 1 588 clinicians nationwide, including their awareness and practice based on 18 questions regarding testing and referral, diagnosis and treatment, and follow-up. ResultsAmong all respondents, only 350 clinicians correctly understood all the updated key points of antiviral indications and treatment for special populations in the 2022 edition of guidelines for the prevention and treatment of chronic hepatitis B, with an overall awareness rate of 22.0%. Only 20% — 40% of the patients with positive HBV DNA and an age of >30 years receive antiviral therapy, while 80% — 100% of the patients with positive HBV DNA and a family history of hepatitis B cirrhosis or hepatocellular carcinoma receive antiviral therapy. The median follow-up rates at 1 year, 3 years, and 5 years were 67.5% 57.5% and 47.5%,respectively, showing a trend of gradual reduction, which might be associated with the influencing factors such as insufficient time for follow-up management by clinicians, insufficient awareness of the disease among patients, and poor adherence to follow-up. ConclusionThere is a gap between the awareness and practice of guidelines for the prevention and treatment of chronic hepatitis B (2022 edition) among clinicians. It is recommended to further strengthen training and focus on the whole process of “detection, diagnosis, treatment, and management” for patients with chronic hepatitis B in healthcare institutions, in order to promote the implementation of the guidelines.
5.Thromboelastography-related parameters and D-dimer and fibrinogen levels in pregnant women with preeclampsia
Junfeng HAN ; Ruili YANG ; Ling DONG ; Lei QU ; Zhe MI ; Xiaobo GUO ; Yangmin ZHANG
Chinese Journal of Primary Medicine and Pharmacy 2024;31(11):1704-1709
Objective:To corelate thromboelastography (TEG)-related parameters and D-dimer and fibrinogen levels with the severity of preeclampsia and pregnancy outcomes in patients with preeclampsia.Methods:A case-control study was conducted involving 92 patients with preeclampsia who received treatment at Northwest Women's and Children's Hospital between March 2022 and September 2023 (patient group) and 92 healthy pregnant women who underwent routine check-ups during the same period (control group). All participants underwent TEG tests, and D-dimer and fibrinogen levels were measured. Intergroup comparisons were performed, and patients were categorized based on the severity of their condition. TEG parameters and D-dimer and fibrinogen levels were compared among patients with varying severities of preeclampsia. TEG-related parameters were correlated with D-dimer and fibrinogen levels. Adverse pregnancy outcomes in the patient group were statistically analyzed, and risk factors for these adverse outcomes in women with preeclampsia were identified.Results:In the patient group, the R and K values were (3.06 ± 0.36) minutes and (1.21 ± 0.14) minutes, respectively, both of which were significantly lower than those in the control group [(5.44 ± 0.61) minutes, (1.79 ± 0.21) minutes, t = 32.22, 22.04, both P < 0.001]. The α angle, CI value, MA value, and D-dimer and fibrinogen levels in the patient group were (71.31 ± 7.63)°, (3.89 ± 0.41), (65.71 ± 7.01) mm, (2.22 ± 0.24) mg/L, and (4.51 ± 0.49) g/L, respectively, all of which were significantly higher than those in the control group [(64.85 ± 6.79)°, (2.19 ± 0.23), (58.96 ± 6.09) mm, (1.92 ± 0.21) mg/L, (3.75 ± 0.40) g/L, t = -6.06, -34.68, -6.97, -9.02, -11.52, all P < 0.001]. In the patient group, severe cases had significantly lower R and K values compared with mild cases, while the α angle, CI value, MA value, and D-dimer and fibrinogen levels were significantly higher in severe cases than in mild cases ( t = 11.06, 7.16, -8.01, -12.05, -3.91, -13.74, -8.269, all P < 0.001). In patients with preeclampsia, the R and K values were negatively correlated with D-dimer levels, and the R value was negatively correlated with fibrinogen level ( r = -0.504, -0.612, -0.493, all P < 0.05). In addition, the MA and CI values were positively correlated with D-dimer level, and the α angle was positively correlated with fibrinogen level ( r = 0.436, 0.534, 0.492, all P < 0.05). Among the participants, 41 women experienced adverse pregnancy outcomes. In patients with adverse pregnancy outcomes, the R and K values were (2.48 ± 0.25) minutes and (1.12 ± 0.14) minutes, which were significantly lower than those in patients without adverse pregnancy outcomes [(2.75 ± 0.29) minutes, (1.28 ± 0.13) minutes, t = 4.71, 5.67; both P < 0.001]. The α angle, CI value, MA value, and D-dimer and fibrinogen levels in patients with adverse pregnancy outcomes were (76.62 ± 8.01)°, (4.42 ± 0.46), (69.77 ± 7.06) mm, (2.57 ± 0.27) mg/L, and (4.97 ± 0.51) g/L, all of which were significantly higher than those in patients without adverse pregnancy outcomes [(67.04 ± 7.01)°, (3.46 ± 0.37), (62.45 ± 6.82) mm, (1.94 ± 0.21) mg/L, (4.14 ± 0.43) g/L, t = -6.11, -5.03, -11.09, -12.25, -8.46, all P < 0.001]. Logistic regression analysis indicated that R and K values were protective factors for adverse pregnancy outcomes ( OR < 1, P < 0.05), while MA value, α angle, CI value, and D-dimer and fibrinogen levels were independent risk factors ( OR > 1, P < 0.05). Conclusion:TEG-related parameters differ significantly between patients with preeclampsia and healthy pregnant women. These parameters are correlated with the severity of preeclampsia, as well as with D-dimer and fibrinogen levels. TEG-related parameters are risk factors for adverse pregnancy outcomes in patients with preeclampsia.
6.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.
7.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.
8.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.
9.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.
10.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.

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