1.Impact of physical functioning on supportive care needs in patients with hepatocellular carcinoma: a chain-mediated model involving perceived social support, anxiety, and depression
Lanfang ZHUO ; Yu WANG ; Quan JIANG ; Xiaolong CHEN ; Xiaolan WANG ; Yanhua SHI ; Xianmei MENG
Chinese Journal of Practical Nursing 2025;41(34):2646-2654
Objective:To examine the influence of physical function status on supportive care needs (SCNS) in patients with primary liver cancer (PLC) and to explore the mediating roles of perceived social support and anxiety-depression, with the aim of providing evidence for nursing interventions to improve patients' care experience.Methods:A convenience sampling method was used to select PLC inpatients admitted to The First Affiliated Hospital of Jinan University between December 2022 and February 2024. Data were collected using a general information questionnaire, the 34-item Supportive Care Needs Survey-Short Form, the Hospital Anxiety and Depression Scale, the Perceived Social Support Scale, and the Karnofsky Performance Status Scale to conduct a cross-sectional survey. Pearson correlation analysis was performed to examine associations among SCNS, perceived social support, anxiety-depression, and physical function status. Structural equation modeling was used to assess the mediating effects of perceived social support and anxiety-depression on the relationship between physical function status and SCNS.Results:A total of 304 patients were enrolled, including 260 males and 44 females, 31 cases aged 18-40 years old, 160 cases aged 41 to 60 years old, and 113 cases over 60 years old. The mean total SCNS score was (98.32 ± 21.75) points, the mean anxiety-depression score was (23.31 ± 9.64) points, the mean perceived social support score was (56.62 ± 13.05) points, and the mean physical function status score was (66.28 ± 12.31) points. Pearson correlation analysis showed that physical function status was negatively correlated with SCNS and anxiety-depression ( r =-0.509, -0.447; both P<0.05) and positively correlated with perceived social support ( r =0.439, P<0.05). Physical function status had a direct effect of 60.74% on SCNS, with specific mediating effects of perceived social support and anxiety-depression accounting for 23.15% and 11.85%, respectively, and a chain mediating effect of 4.26%. Conclusions:Patients with PLC exhibited a moderately high level of supportive care needs. Physical function status not only exerted a direct negative effect on SCNS but also indirectly influenced SCNS through the chain mediation of perceived social support and anxiety-depression. Clinical medical staff should focus on enhancing patients' perception of social support and effectively alleviating anxiety and depressive symptoms, thereby reducing supportive care needs to some extent.
2.Autophagy level of CD8+T cells in rat model of chronic obstructive pulmonary disease and correlation with its number
Yuming CHEN ; Xuhua YU ; Ziyao LIANG ; Na LI ; Sida CHEN ; Yan SHEN ; Songming ZHUO
Chinese Journal of Immunology 2025;41(2):295-303
Objective:To investigate the autophagy level of CD8+T cells in rat model of chronic obstructive pulmonary disease(COPD)and correlation with its number,and to explore the role of autophagy in pathogenesis of COPD.Methods:Thirty-six 6-week-old male SD rats were divided into three groups,including normal control group,COPD group and COPD intervention group.COPD model was established by smoking,and intraperitoneal injection of 3-methyladenine(3-MA)was used for intervention.Lung function of rats was detected by small animal pulmonary function testing,and frequency of CD8+T cells,CD8+memory T cells,CD8+effector T cells in blood and lung of rats were detected by flow cytometry.CD8+T cells were sorted by immunomagnetic beads,and expressions of autophagy protein including LC3-Ⅱ/Ⅰ,Beclin-1 and p62 in CD8+T cells were detected by Western blot.The middle lobe of right lung was collected for histological observation.Results:Infiltration of inflammatory cells and the decline of lung function in COPD group were more obvious than those in normal group.Frequency of CD8+T cells,CD8+effector T cells and CD8+memory T cells in blood and lung of rats in COPD group were significantly higher than those in normal control group(all P<0.05).Level of autophagy protein,LC3-Ⅱ/Ⅰ and Beclin-1 of CD8+T cells in COPD group were significantly higher than that in normal control group,while level of p62 was lower than that in normal control group(P<0.01).CD8+T cells,CD8+effector T cells,CD8+memory T cells in COPD intervention group were significantly lower than those in COPD group(P<0.05).Correlation analysis showed that LC3-Ⅱ/Ⅰ expression level was positively correlated with frequency of CD8+T cells in blood(r=0.667,P<0.01).Expression level of Beclin-1 was positively correlated with frequency of CD8+T cells and CD8+effector T cells in blood(r=0.505,P=0.021;r=0.428,P=0.037).Expression of LC3-Ⅱ/Ⅰprotein was positively correlated with frequency of CD8+T cells and CD8+effector T cells in lung tissue(r=0.474,P=0.019;r=0.549,P=0.006).Expression of Beclin-1 was positively correlated with frequency of CD8+effector T cells in lung tissue(r=0.458,P=0.025).Conclusion:Level of CD8+T cell autophagy is correlated with its number.CD8+T cell autophagy may be involved in the chronic inflam-matory process of COPD,and 3-MA can inhibit COPD inflammation.
3.Fetal heart quantification technology for assessing normal fetal cardiac morphology and function: a prospective cohort study
Qiuyi DI ; Xiangdang LONG ; Jing NING ; Sui YAO ; Qiaorong LI ; Yu ZHUO ; Xuan CHEN ; Longfei SHI
Chinese Journal of Perinatal Medicine 2025;28(3):211-218
Objective:To explore the value of fetal heart quantification technology in assessing the morphology and function of the fetal heart during normal pregnancy.Methods:This prospective cohort study selected normal fetuses from healthy pregnant women who underwent prenatal ultrasound examinations at Hunan Provincial People's Hospital from January 2023 to October 2024. Using the GE Voluson E10 color Doppler diasonography, routine obstetric ultrasound and fetal echocardiography were performed to assess fetal growth and development and to exclude intracardiac and extracardiac malformations. Clear four-chamber view (4CV) dynamic images of the heart showing the endocardium (duration ≥3 s) were collected. Speckle-tracking analysis was performed using fetal heart quantification software. The measured indicators included the global spherical index (GSI), end-diastolic length of the heart (L-ED), end-diastolic width of the heart (W-ED), and the global longitudinal strain (GLS), fractional area change (FAC), and 24-segment spherical index (SI) of the left ventricle (LV) and right ventricle (RV). The cases were divided into five groups based on gestational age at the time of prenatal ultrasound: 20 +0 to 23 +6, 24 +0 to 27 +6, 28 +0 to 31 +6, 32 +0 to 35 +6, and 36 +0 to 40 +6 weeks. One-way analysis of variance, two independent samples t-test, univariate linear regression analysis, and Pearson correlation analysis were used to explore the differences in the above indicators among different gestational age groups and their correlation with gestational age. Results:A total of 200 pregnant women were included in the cohort, four cases were excluded due to poor image quality that prevented accurate tracking and measurement of relevant indicators. Ultimately, 196 cases (20 +0 to 23 +6 weeks 40 cases, 24 +0 to 27 +6 weeks 34 cases, 28 +0 to 31 +6 weeks 41 cases, 32 +0 to 35 +6 weeks 48 cases, and 36 +0 to 40 +6 weeks 33 cases) were included in the study, with a successful image analysis rate of 98.0%. (1) There were statistically significant differences in 4CV L-ED, 4CV W-ED, LV-FAC, and RV-FAC among the groups at 20 +0 to 23 +6, 24 +0 to 27 +6, 28 +0 to 31 +6, 32 +0 to 35 +6, and 36 +0 to 40 +6 weeks [4CV L-ED: 28.0±3.0, 32.6±4.3, 40.9±4.3, 46.7±4.8, 53.1±5.8, F=3.72; 4CV W-ED: 21.9±1.8, 25.1±4.2, 31.7±3.0, 37.4±4.0, 42.0±4.9, F=2.61; LV-FAC: (51.4±8.0)%, (49.0±10.4)%, (47.3±7.3)%, (43.1±7.5)%, (40.7±8.2)%, F=2.94; RV-FAC: (49.9±10.8)%, (46.2±12.0)%, (46.3±8.3)%, (43.2±8.0)%, (41.9±5.6)%, F=3.09; all P<0.05].(2) The size of the normal fetal heart gradually increased with gestational age, while the heart morphology remained relatively stable (4CV L-ED and 4CV W-ED were positively correlated with gestational age, with regression coefficients of 1.313 and 1.325, respectively, both P<0.001;LV-FAC and RV-FAC were negatively correlated with gestational age with regression coefficients of -0.783 and -0.552, respectively, both P<0.001; GSI, LV-GLS and RV-GLS had no correlations with gestational age, all P>0.05). (3) The SI of LV segments 1 to 17 were higher than the SI of the corresponding RV segments, and the SI of RV segments 20-24 were higher than that of the corresponding LV segments (all P<0.001). Conclusion:Fetal heart quantification technology has a certain value in the assessment of fetal cardiac morphology and function.
4.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.
5.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.
6.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
7.Impact of physical functioning on supportive care needs in patients with hepatocellular carcinoma: a chain-mediated model involving perceived social support, anxiety, and depression
Lanfang ZHUO ; Yu WANG ; Quan JIANG ; Xiaolong CHEN ; Xiaolan WANG ; Yanhua SHI ; Xianmei MENG
Chinese Journal of Practical Nursing 2025;41(34):2646-2654
Objective:To examine the influence of physical function status on supportive care needs (SCNS) in patients with primary liver cancer (PLC) and to explore the mediating roles of perceived social support and anxiety-depression, with the aim of providing evidence for nursing interventions to improve patients' care experience.Methods:A convenience sampling method was used to select PLC inpatients admitted to The First Affiliated Hospital of Jinan University between December 2022 and February 2024. Data were collected using a general information questionnaire, the 34-item Supportive Care Needs Survey-Short Form, the Hospital Anxiety and Depression Scale, the Perceived Social Support Scale, and the Karnofsky Performance Status Scale to conduct a cross-sectional survey. Pearson correlation analysis was performed to examine associations among SCNS, perceived social support, anxiety-depression, and physical function status. Structural equation modeling was used to assess the mediating effects of perceived social support and anxiety-depression on the relationship between physical function status and SCNS.Results:A total of 304 patients were enrolled, including 260 males and 44 females, 31 cases aged 18-40 years old, 160 cases aged 41 to 60 years old, and 113 cases over 60 years old. The mean total SCNS score was (98.32 ± 21.75) points, the mean anxiety-depression score was (23.31 ± 9.64) points, the mean perceived social support score was (56.62 ± 13.05) points, and the mean physical function status score was (66.28 ± 12.31) points. Pearson correlation analysis showed that physical function status was negatively correlated with SCNS and anxiety-depression ( r =-0.509, -0.447; both P<0.05) and positively correlated with perceived social support ( r =0.439, P<0.05). Physical function status had a direct effect of 60.74% on SCNS, with specific mediating effects of perceived social support and anxiety-depression accounting for 23.15% and 11.85%, respectively, and a chain mediating effect of 4.26%. Conclusions:Patients with PLC exhibited a moderately high level of supportive care needs. Physical function status not only exerted a direct negative effect on SCNS but also indirectly influenced SCNS through the chain mediation of perceived social support and anxiety-depression. Clinical medical staff should focus on enhancing patients' perception of social support and effectively alleviating anxiety and depressive symptoms, thereby reducing supportive care needs to some extent.
8.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
9.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; 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(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
10.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

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