1.Association between improved erectile function and dietary patterns: a systematic review and meta-analysis.
Bin YANG ; Chao WEI ; Yu-Cong ZHANG ; De-Lin MA ; Jian BAI ; Zhuo LIU ; Xia-Ming LIU ; Ji-Hong LIU ; Xiao-Yi YUAN ; Wei-Min YAO
Asian Journal of Andrology 2025;27(2):239-244
Erectile dysfunction (ED) is prevalent among men, but its relationship with dietary habits is uncertain. The aim of our study was to assess whether dietary patterns enhance erectile function by reviewing the literature published before August 1, 2022, via PubMed, Web of Science, and EMBASE databases. The data compiled included author details; publication dates, countries, treatments, patient numbers, ages, follow-ups, and clinical trial outcomes, such as ED cases, odds ratios (ORs), confidence intervals (CIs), and International Index of Erectile Function-5 (IIEF-5) scores with means and standard deviations. An analysis of 14 studies with 27 389 participants revealed that plant-based diets (OR = 0.71, 95% CI: 0.66-0.75; P < 0.00001), low-fat diets (OR = 0.27, 95% CI: 0.13-0.53; P = 0.0002), and alternative diets such as intermittent fasting and organic diets (OR = 0.54, 95% CI: 0.36-0.80; P = 0.002) significantly reduced ED risk. High-protein low-fat diets (hazard ratio [HR] = 1.38, 95% CI: 1.12-1.64; P < 0.00001) and high-carb low-fat diets (HR = 0.79, 95% CI: 0.55-1.04; P < 0.00001) improved IIEF-5 scores. Combined diet and exercise interventions decreased the likelihood of ED (OR = 0.49, 95% CI: 0.28-0.85; P = 0.01) and increased the IIEF-5 score (OR = 3.40, 95% CI: 1.69-5.11; P < 0.0001). Diets abundant in fruits and vegetables (OR = 0.97, 95% CI: 0.96-0.98; P < 0.00001) and nuts (OR = 0.54, 95% CI: 0.37-0.80; P = 0.002) were also correlated with lower ED risk. Our meta-analysis underscores a strong dietary-ED association, suggesting that low-fat/Mediterranean diets rich in produce and nuts could benefit ED management.
Humans
;
Male
;
Erectile Dysfunction/epidemiology*
;
Diet
;
Diet, Fat-Restricted
;
Feeding Behavior
;
Penile Erection/physiology*
;
Diet, Vegetarian
2.Case report of lung cancer and pulmonary lymphangitic carcinomatosis in a 12-year-old boy.
Jing-Wen YU ; Han HUANG ; Li-Li ZHONG ; Min CHEN ; Zhuo-Jie YANG
Chinese Journal of Contemporary Pediatrics 2025;27(5):618-622
A 12-year-old boy was admitted with symptoms of cough and fever lasting over a month, accompanied by weight loss 2 kg. Prior anti-infective treatments proved ineffective in alleviating the symptoms. Chest imaging revealed diffuse interstitial pulmonary edema in the right lung with obstructed lymphatic drainage. Combined with histopathological examinations, the diagnosis was confirmed as lung cancer with pulmonary lymphangitic carcinomatosis. The patient underwent chemotherapy with docetaxel and carboplatin, yet the disease progressively worsened, resulting in death three months after diagnosis. This case highlights lung cancer should not be overlooked in patients with persistent respiratory symptoms of unknown etiology. Early imaging examinations, along with necessary pathological evaluations, are crucial for timely detection and diagnosis. The presence of pulmonary lymphangitic carcinomatosis often indicates an advanced-stage of cancer, associated with a poor prognosis.
Humans
;
Male
;
Lung Neoplasms/complications*
;
Child
;
Carcinoma/drug therapy*
3.Bioinformatics analysis and experimental verification of disulfidptosis-related genes in vascular dementia
Jin-zhi ZHANG ; Wei CHEN ; Gui-feng ZHUO ; Er-wei HAO ; Xiao-min ZHU ; Yu-lan FU ; Shan-shan PU ; Ming-yang SU ; Lin WU
Chinese Pharmacological Bulletin 2025;41(3):514-520
Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.
4.Clinical significance of layered plaque in patients with angiographically intermediate lesions
A-lian ZHANG ; Li FAN ; Yang ZHUO ; Min WANG ; Yu-qi FAN ; Jun GU ; Jia-yu ZHANG ; Chang-qian WANG ; Jun-feng ZHANG
Chinese Journal of Interventional Cardiology 2025;33(3):155-162
Objective To investigate the risk factors and clinical significance of layered plaques that were detected by optical coherence tomography(OCT)in patients with angiographically intermediate coronary lesions,and relationship with prognosis.Methods This was a signal-center retrospective study focusing on patients whom underwent coronary angiography and OCT.The layered plaque group and non-layered plaque group were divided according to the presence or absence of stratified plaque.Clinical data,laboratory indicators,angiography,and OCT results were collected and compared between the two groups.Using logistic regression to analyze the relationship between stratified plaques and clinical features;Cox regression analysis was used to investigate the influencing factors of cardiovascular adverse events in patients with critical coronary artery disease.Results A total of 172 patients were enrolled,including 96 patients in non-layered plaque group and 76 patients in layered plaque group.Male(OR 2.415,95%CI 1.162-5.020,P=0.018),diabetes(OR 2.505,95%CI 1.137-5.525,P=0.023)and history of hyperlipidemia(OR 3.590,95%CI 1.478-6.333,P=0.003)were independent risk factors for stratified plaque.In OCT analysis,the proportion of thin-cap fibroatheroma(TCFA)plaque,macrophage infiltration,microvascularization,thrombosis,plaque rupture,and intimal dissection,as well as lipid plaque length,lipid plaque arc,and lipid plaque index were higher in the layered plaque group.After adjusting for other risk factors,macrophage infiltration is independently associated with stratified plaques(OR 2.106,95%CI 1.019-4.353,P=0.044).Kaplan-Meier survival analysis showed that the target lesion revascularization rate in the layered plaque group was higher than that in the non-layered plaque group(Log-rank P=0.030).Cox regression analysis shows that it has both stratified plaque and thin fibrous membrane plaque characteristics was an independent predictor of cardiovascular adverse events(HR 5.165,95%CI 1.696-15.727,P=0.004).Conclusions In patients with angiographically intermediate coronary lesions,OCT detection of stratified lesions is often accompanied by other unstable plaque features,indicating an increased risk of adverse cardiovascular events.Simultaneously possessing features of stratified plaques and TCFA is an independent predictor of adverse cardiovascular events in patients with critical coronary artery disease.
5.Clinical significance of layered plaque in patients with angiographically intermediate lesions
A-lian ZHANG ; Li FAN ; Yang ZHUO ; Min WANG ; Yu-qi FAN ; Jun GU ; Jia-yu ZHANG ; Chang-qian WANG ; Jun-feng ZHANG
Chinese Journal of Interventional Cardiology 2025;33(3):155-162
Objective To investigate the risk factors and clinical significance of layered plaques that were detected by optical coherence tomography(OCT)in patients with angiographically intermediate coronary lesions,and relationship with prognosis.Methods This was a signal-center retrospective study focusing on patients whom underwent coronary angiography and OCT.The layered plaque group and non-layered plaque group were divided according to the presence or absence of stratified plaque.Clinical data,laboratory indicators,angiography,and OCT results were collected and compared between the two groups.Using logistic regression to analyze the relationship between stratified plaques and clinical features;Cox regression analysis was used to investigate the influencing factors of cardiovascular adverse events in patients with critical coronary artery disease.Results A total of 172 patients were enrolled,including 96 patients in non-layered plaque group and 76 patients in layered plaque group.Male(OR 2.415,95%CI 1.162-5.020,P=0.018),diabetes(OR 2.505,95%CI 1.137-5.525,P=0.023)and history of hyperlipidemia(OR 3.590,95%CI 1.478-6.333,P=0.003)were independent risk factors for stratified plaque.In OCT analysis,the proportion of thin-cap fibroatheroma(TCFA)plaque,macrophage infiltration,microvascularization,thrombosis,plaque rupture,and intimal dissection,as well as lipid plaque length,lipid plaque arc,and lipid plaque index were higher in the layered plaque group.After adjusting for other risk factors,macrophage infiltration is independently associated with stratified plaques(OR 2.106,95%CI 1.019-4.353,P=0.044).Kaplan-Meier survival analysis showed that the target lesion revascularization rate in the layered plaque group was higher than that in the non-layered plaque group(Log-rank P=0.030).Cox regression analysis shows that it has both stratified plaque and thin fibrous membrane plaque characteristics was an independent predictor of cardiovascular adverse events(HR 5.165,95%CI 1.696-15.727,P=0.004).Conclusions In patients with angiographically intermediate coronary lesions,OCT detection of stratified lesions is often accompanied by other unstable plaque features,indicating an increased risk of adverse cardiovascular events.Simultaneously possessing features of stratified plaques and TCFA is an independent predictor of adverse cardiovascular events in patients with critical coronary artery disease.
6.Bioinformatics analysis and experimental verification of disulfidptosis-related genes in vascular dementia
Jin-zhi ZHANG ; Wei CHEN ; Gui-feng ZHUO ; Er-wei HAO ; Xiao-min ZHU ; Yu-lan FU ; Shan-shan PU ; Ming-yang SU ; Lin WU
Chinese Pharmacological Bulletin 2025;41(3):514-520
Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.
7.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.
8.Effect of Csn-B Combined with Imatinib on Apoptosis of Chronic Myeloid Leukemia Cells through Nur77/Pim-1/Drp1 Pathway
Yu-Xin GONG ; Zhuo-Jing YANG ; Ji-Min CAO ; Hui-Min LIU
Journal of Experimental Hematology 2024;32(4):1078-1084
Objective:To investigate the anti-chronic myelogenous leukemia(CML)activity of Nur77-specific agonist Csn-B combined with imatinib by promoting Nur77 expression,and explore the potential role of its signaling pathway.Methods:Firstly,CCK-8 and Transwell assay were used to detect the inhibitory effects of Csn-B,imatinib,and their combination on the proliferation and migration of K562 cells.Furthermore,the apoptosis rate of K562 cells treated with Csn-B,imatinib,and their combination was detected by flow cytometry.The expression levels of Nur77,Pim-1,Drp1,p-Drp1 S616,Bcl-2 and Bax in K562 cells were detected by Western blot.Finally,the expression levels of reactive oxygen species(ROS)in K562 cells treated with Csn-B,imatinib and their combination were detected by immunofluorescence assay.Results:The level of Nur77 in CML patients decreased significantly compared with normal population in dataset of GSE43754(P<0.001).Csn-B combined with imatinib could significantly inhibit the proliferation and migration of K562 cells(both P<0.001),and induce apoptosis(P<0.001).Csn-B promoted Nur77 expression in K562 cells,and synergistically enhanced imatinib sensitivity when combined with imatinib.Csn-B combined with imatinib could significantly enhanced ROS levels in K562 cells and mitochondria compared with single-drug treatment(both P<0.001).Conclusion:Csn-B combined with imatinib can enhance ROS expression and induce apoptosis of K562 cells through Nur77/Pim-1/Drp1 pathway.
9.Distribution and antimicrobial resistance profiles of clinical isolates from blood samples:results from China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021
Min ZHONG ; Xiangning HUANG ; Hua YU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Shanmei WANG ; Yafei CHU ; Wenen LIU ; Yanming LI ; Dawen GUO ; Jinying ZHAO ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Ziyong SUN ; Zhongju CHEN ; Yunsong YU ; Jie LIN ; Jihong LI ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Fang DONG ; Zhiyong LÜ ; Han SHEN ; Wanqing ZHOU ; Sufang GUO ; Zhidong HU ; Jin LI ; Chuanqing WANG ; Pan FU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Lixia ZHANG ; Juan MA ; Yuxing NI ; Jingyong SUN ; Jinju DUAN ; Jianbang KANG ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Xuesong XU ; Chao YAN ; Yunjian HU ; Xiaoman AI ; Jinsong WU ; Yuemei LU ; Fangfang HU ; Lianhua WEI ; Fengmei ZOU ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Xiaobo MA ; Yanping ZHENG ; Kaizhen WEN ; Yirong ZHANG ; Yunsheng CHEN ; Qing MENG ; Xuefei HU ; Ruizhong WANG ; Hua FANG ; Ruyi GUO ; Yan ZHU ; Jilu SHEN ; Wenhui HUANG ; Bixia YU ; Jiao FENG ; Yong ZHAO ; Ping GONG ; Shunhong XUE ; Hongqin GU ; Wen HE ; Jiangshan LIU ; Chunlei YUE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(6):664-677
Objective To investigate the distribution and antimicrobial resistance of bacterial isolates from blood samples in the hospitals participating in China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021.Methods Bacterial strains isolated from blood samples were collected from 52 medical centers participating in CHINET from 2015 to 2021 for analysis of bacetrial distribution and antimicrobial resistance.Results A total of 153591 isolates were collected,48.8% of which were gram-positive bacteria and 51.2% were gram-negative bacteria.The top five bacterial strains were coagulase negative Staphylococcus (28.2%),Escherichia coli (20.7%),Klebsiella (13.7%),Enterococcus (7.2%),and Staphylococcus aureus (6.6%).Compard to female patients,male patients showed lower proportion of E.coli and higher proportions of other bacterial species in all the bacterial isolaets from blood samples.The proportions of Streptococcus pneumoniae and Salmonella in all the bacterial isolaets from blood samples were higher in children compared to adults.Enterobacterales species showed various resistance rates to antimicrobial agents.Overall,≥58.0%,≥36.8% and ≥56.8% of E.coli strains were resistant to cefotaxime,gentamicin and levofloxacin respectively over the 7-year period.However,less than 2.5% of the E.coli strains were resistant to carbapenems.K.pneumoniae showed higher resistance rates to imipenem and meropenem than other Enterobacterales species.During the 7-year period,the prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae increased from 21.4% and 19.9% in 2015 to 25.7% and 26.6% in 2021,respectively.However,carbapenems still maintained good antibacterial activity against other Enterobacterales,associaetd with lower resistance rates.In the 7-year period,Acinetobacter baumannii showed a dwonward trend in the resistance rates to imipenem and meropenem,but remained 72.9% and 73.2% respectively in 2021.The prevalence of imipenem-resistant and meropenem-resistant P.aeruginosa decreased from 26.7% and 22.9% in 2015 to 18.5% and 14.7% in 2021,respectively.The prevalence of PRSP was 1.5% in the isolaets from adults and and 0.8% in the isolates from children.Less than 3.0% of the Enterococcus faecium and Enterococcus faecalis strains were resistant to vancomycin,teicolanin,or linezolid.The prevalence of methicillin-resistant S.aureus (MRSA) and coagulase negative Staphylococcus (MRCNS) was 32.1% and 81.0%,respectively.The prevalence of MRSA was relatively stable,28.5% in 2015 and 28.0% in 2021.Conclusions Coagulase negative Staphylococcus,E.coli and K.pneumoniae were the main bacterial species isolated from blood samples in the hospitals participaing in the CHINET from 2015 to 2021.Significant sex and age differences were found in the distribution of bcterial isolates from blood samples.The overall resistance rates of the top bacetrial strains from blood samples to antimicrobial agents showed a downward trend.Ongoing surveillance of antimicrobial resistance for the isolates from blood samples is still essential for prescribing rational antimicrobial therapies and curbing bacterial resistance.
10.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
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 ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; 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 ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% 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) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had 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 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Result Analysis
Print
Save
E-mail