1.Herbal Textual Research on Inulae Flos in Famous Classical Formulas
Caixia LIU ; Yue HAN ; Yanzhu MA ; Lei GAO ; Sheng WANG ; Yan YANG ; Wenchuan LUO ; Ling JIN ; Jing SHAO ; Zhijia CUI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):210-221
In this paper, by referring to ancient and modern literature, the textual research of Inulae Flos has been conducted to clarify the name, origin, production area, quality evaluation, harvesting, processing and others, so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research, it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties, Xuanfuhua has been taken as the official name, and it also has other alternative names such as Jinfeicao, Daogeng and Jinqianhua. The period before the Song and Yuan dynasties, the main origin of Inulae Flos was the Asteraceae plant Inula japonica, and from the Ming and Qing dynasties to the present, I. japonica and I. britannica are the primary source. In addition to the dominant basal species, there are also regional species such as I. linariifolia, I. helianthus-aquatili, and I. hupehensis. The earliest recorded production areas in ancient times were Henan, Hubei and other places, and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower, the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months, and dried in the sun, and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom, in order to remove impurities, dry in the shade or dry in the sun. In addition, the roots, whole herbs and aerial parts are used as medicinal materials. In ancient times, there were no records about the quality of Inulae Flos, and in modern times, it is generally believed that the quality of complete flower structure, small receptacles, large blooms, yellow petals, long filaments, many fluffs, no fragments, and no branches is better. Ancient processing methods primarily involved cleaning, steaming, and sun-drying, supplemented by techniques such as boiling, roasting, burning, simmering, stir-frying, and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties, ancient texts describe it as salty and sweet in taste, slightly warm in nature, and mildly toxic. Modern studies characterize it as bitter, pungent, and salty in taste, with a slightly warm nature. Its therapeutic effects remain consistent across eras, including descending Qi, resolving phlegm, promoting diuresis, and stopping vomiting. Based on the research results, it is recommended that when developing famous classical formulas containing Inulae Flos, either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements, where no processing instructions are specified, the raw products may be used after cleaning.
2.Herbal Textual Research on Inulae Flos in Famous Classical Formulas
Caixia LIU ; Yue HAN ; Yanzhu MA ; Lei GAO ; Sheng WANG ; Yan YANG ; Wenchuan LUO ; Ling JIN ; Jing SHAO ; Zhijia CUI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):210-221
In this paper, by referring to ancient and modern literature, the textual research of Inulae Flos has been conducted to clarify the name, origin, production area, quality evaluation, harvesting, processing and others, so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research, it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties, Xuanfuhua has been taken as the official name, and it also has other alternative names such as Jinfeicao, Daogeng and Jinqianhua. The period before the Song and Yuan dynasties, the main origin of Inulae Flos was the Asteraceae plant Inula japonica, and from the Ming and Qing dynasties to the present, I. japonica and I. britannica are the primary source. In addition to the dominant basal species, there are also regional species such as I. linariifolia, I. helianthus-aquatili, and I. hupehensis. The earliest recorded production areas in ancient times were Henan, Hubei and other places, and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower, the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months, and dried in the sun, and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom, in order to remove impurities, dry in the shade or dry in the sun. In addition, the roots, whole herbs and aerial parts are used as medicinal materials. In ancient times, there were no records about the quality of Inulae Flos, and in modern times, it is generally believed that the quality of complete flower structure, small receptacles, large blooms, yellow petals, long filaments, many fluffs, no fragments, and no branches is better. Ancient processing methods primarily involved cleaning, steaming, and sun-drying, supplemented by techniques such as boiling, roasting, burning, simmering, stir-frying, and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties, ancient texts describe it as salty and sweet in taste, slightly warm in nature, and mildly toxic. Modern studies characterize it as bitter, pungent, and salty in taste, with a slightly warm nature. Its therapeutic effects remain consistent across eras, including descending Qi, resolving phlegm, promoting diuresis, and stopping vomiting. Based on the research results, it is recommended that when developing famous classical formulas containing Inulae Flos, either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements, where no processing instructions are specified, the raw products may be used after cleaning.
3.Mechanism of ultrafine garlic powder in improving mouse atherosclerosis and dyslipidemia
Ning-ning SHAO ; Jian-ming YANG ; Yao-guang WANG ; Tao ZHANG ; Xiao-ming ZHAO ; Jin-rui DONG
Chinese Pharmacological Bulletin 2025;41(7):1376-1381
Aim To investigate the mechanism of ultra-fine garlic powder(UGP)in ameliorating dyslipidemia and aortic inflammation and fibrosis in atherosclerotic(AS)mice.Methods A 10-week ApoE-/-mouse AS model was constructed,cardiac index was meas-ured,and aortic histopathological changes were ob-served by oil red O staining.Serum inflammatory factor levels were detected by ELISA,and the expression of JNK,NF-κB,ERK and their phosphorylated proteins were detected by Western blot.Results Cardiac in-dex and other indicators as well as aortic lesions were worsened in the AS group,as compared with the normal control group.Compared with the AS group,the UGP treatment group and the traditional garlic grinding pow-der(TGP)treatment group significantly decreased total cholesterol(TC),triglyceride(TG),low-density lipo-protein cholesterol(LDL-C),atherosclerosis index(AI1,AI2),and coronary cardiac index and restored high-density lipoprotein cholesterol(HDL-C)levels,and the area of aortic lesions,inflammation and fibrosis were significantly improved,and at the same time,sig-nificantly inhibited the expression of TNF-α,IL-1β,and IL-6,as well as the expression of p-JNK,p-NF-κB and p-ERK proteins.The therapeutic effect of the UGP group was superior to that of the TGP group.Conclu-sion UGP can significantly inhibit the formation of aortic endothelial AS plaques,reduce the levels of in-flammation and fibrosis,and regulate blood lipids in a-orta of AS mice.
4.Longitudinal qualitative study of supportive care needs on heart transplant patients
Wenxuan TAN ; Rong ZHANG ; Lili ZHANG ; Wei WANG ; Yanhong SHAO ; Qinghong FANG ; Jin ZHU
Chinese Journal of Nursing 2025;60(2):142-148
Objective To explore the supportive care needs of heart transplant patients at different stages.Methods Purposive sampling method was used to select 15 heart transplant patients who were hospitalized in a tertiary A hospital in Guangdong Province from July 2023 to February 2024 as research subjects.According to the"Timing It Right"theory,5 semi-structured interviews were conducted with patients.Interpretive phenomenology was used to sort out and analyze the data.Results A total of 5 themes and 18 subthemes were extracted,including urgent desire for transplant information and psychological support during diagnosis,strong physiological and emotional needs during hospitalization,significant demand for health education in the preparation period for discharge,expectation of family support during the adjustment period,increasing demand for social support during the adaptation period.Conclusion The supportive care needs of heart transplant patients at different stages are dynamic.Medical staff should adopt the concept of dynamic and continuous care,and provide personalized care in stages,plans and continuance,in order to improve the quality of life of heart transplant patients.
5.Comparison of six active constituent contents in modified Liujunzi Decoction during different process amplifications
Ya-ping ZHU ; Yu-xin LIU ; Meng-qi SHAO ; You-jin WANG ; Lei WU
Chinese Traditional Patent Medicine 2025;47(2):395-400
AIM To compare the contents of caffeic acid,ferulic acid,narirutin,calycosin,glycyrrhizic acid and atractylenolide Ⅲ of modified Liujunzi Decoction(MLJZD)during small test,pilot test(500,1 500 L)and large production.METHODS The samples were taken after soaking for 60 min,boiling for 0,5,10,15,20,30 min in the first decoction,and boiling for 5,10,15,20 min in the second decoction,respectively,after which the HPLC fingerprints were established,the contents of active constituents were determined.RESULTS There were 6 common peaks in the HPLC fingerprints for small test and pilot test,while 5 common peaks were observable in the HPLC fingerprints for large production,along with the similarities of more than 0.980.During pilot tests at different time points,various active constituents demonstrated consistent content changing trends,whose total content was higher than those during small test and large production.CONCLUSION Process amplification exhibits a little influence on active constituent contents in MLJZD,which don't show increasing trends with the expansion of container and enhancement of dosage.
6.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
7.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
8.Mechanism of ultrafine garlic powder in improving mouse atherosclerosis and dyslipidemia
Ning-ning SHAO ; Jian-ming YANG ; Yao-guang WANG ; Tao ZHANG ; Xiao-ming ZHAO ; Jin-rui DONG
Chinese Pharmacological Bulletin 2025;41(7):1376-1381
Aim To investigate the mechanism of ultra-fine garlic powder(UGP)in ameliorating dyslipidemia and aortic inflammation and fibrosis in atherosclerotic(AS)mice.Methods A 10-week ApoE-/-mouse AS model was constructed,cardiac index was meas-ured,and aortic histopathological changes were ob-served by oil red O staining.Serum inflammatory factor levels were detected by ELISA,and the expression of JNK,NF-κB,ERK and their phosphorylated proteins were detected by Western blot.Results Cardiac in-dex and other indicators as well as aortic lesions were worsened in the AS group,as compared with the normal control group.Compared with the AS group,the UGP treatment group and the traditional garlic grinding pow-der(TGP)treatment group significantly decreased total cholesterol(TC),triglyceride(TG),low-density lipo-protein cholesterol(LDL-C),atherosclerosis index(AI1,AI2),and coronary cardiac index and restored high-density lipoprotein cholesterol(HDL-C)levels,and the area of aortic lesions,inflammation and fibrosis were significantly improved,and at the same time,sig-nificantly inhibited the expression of TNF-α,IL-1β,and IL-6,as well as the expression of p-JNK,p-NF-κB and p-ERK proteins.The therapeutic effect of the UGP group was superior to that of the TGP group.Conclu-sion UGP can significantly inhibit the formation of aortic endothelial AS plaques,reduce the levels of in-flammation and fibrosis,and regulate blood lipids in a-orta of AS mice.
9.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
10.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

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