1.Investigation and disposal of a suspected outbreak of hospital-acquired carbapenem-resistant Acinetobacter baumannii infection in an ICU
Hairui SONG ; Chunyan SUN ; Sihan XIAO ; Ruqing GAO ; Qi ZHANG ; Xiuli ZHANG
Chinese Journal of Nosocomiology 2025;35(15):2351-2356
OBJECTIVE To study the prevention and control strategies for carbapenem-resistant Acinetobacter bau-mannii(CRAB)infection through inves-tigating an outbreak of CRAB infection in an intensive care unit(ICU),and provide a scientific basis for the prevention and control of such hospital-acquired infections.METHODS Epide-miological investigations were conducted on patients with CRAB infection in the ICU of a hospital from Jul.7 to Jul.29,2023,and microbial sampling,identification and drug sensitivity testing were conducted on suspected con-taminated environments and items.Targeted prevention and control measures were taken to control the outbreak.RESULTS Within a short period,8 patients in this hospital developed CRAB hospital-acquired infection,among whom,the drug resistance profiles of CRAB isolated from the specimens of 7 patients in bed A4,A14,B18,B19,B20,B21 and B22 were consistent.Through environmental hygiene monitoring,CRAB isolated from patient clothing,isolation gowns and medical staff uniforms matched the drug resistance profiles of the seven patient iso-lates.After taking targeted measures,no new CRAB infection cases occurred in Oct.,and CRAB was no longer i-solated from the environment and medical fabrics.CONCLUSIONS The suspected outbreak of CRAB infection may be related to the inadequate management and contamination of medical fabrics.Therefore,in addition to strictly implementing the routine prevention and control measures for multidrug-resistant bacteria,it is also crucial to strengthen the standardized management of medical fabrics for the prevention and control of hospital-acquired in-fections and outbreaks.
2.Effect of intra-articular hemorrhage on extending knee joint contracture in rats
Quanbing Zhang ; Deting Zhu ; Yun Zhou ; Xiuli Kan ; Lei Huo ; Ruoxi Zhang ; Han Xiao ; Jing Mao ; Xueming Li ; Run Zhang
Acta Universitatis Medicinalis Anhui 2025;60(8):1381-1386
Objective:
To investigate the effect of intraarticular hemorrhage on extending knee joint contracture model in rats .
Methods:
18 mature male SD rats were divided into 3 groups by random number table method . The control group ( group C) was not immobilized and was killed after 4 weeks of feeding . In the simple fixation group( M1 group) , the left lower limb knee joint was immobilized in straight position for 4 weeks . The blood fixationgroup (M2 group) was injected into the knee cavity with body blood and immobilized in a straight position for 4 weeks . The knee joint motion of each group was measured by the joint motion measuring instrument under a stand⁃ard torque . The contracture degree was calculated by the joint range of motion of the knee joint before and after muscles separation . HE staining and Masson staining were used to detect the number of cells and collagen deposi⁃tion in the anterior joint capsule . The protein expressions of transforming growth factor 1 (TGF⁃ β1) , wingless⁃type MMTV integration site family , member 1 ( Wnt1) and beta⁃catenin ( β⁃catenin) in the anterior articular capsule were detected by Western blotting .
Results:
Compared with group C , total knee contracture and arthrogenic con⁃tracture of rats in M1 and M2 groups increased , and the difference was statistically significant (P < 0. 05) . At the same time , the degree of total contracture and arthrogenic contracture in M2 group was higher than that in M1 group , and the difference was statistically significant (P < 0. 05) . Compared with group C , the number of anterior joint capsule cells and collagen deposition in M1 and M2 groups increased , and the difference was statistically sig⁃group were higher than those in M1 group , and the difference was statistically significant (P < 0. 05) . Compared with group C , the protein expressions of TGF⁃ β1 , Wnt1 and β ⁃catenin in the anterior articular capsule of rats in M1 expressions of TGF⁃ β1 , Wnt1 and β ⁃catenin in the anterior articular capsule of the knee joint in M2 group were sig⁃nificantly higher than those in M1 group , with statistical significance (P < 0. 05) .
Conclusion
Joint immobiliza⁃ tion can lead to joint contracture , and joint bleeding aggravates the degree of joint capsule fibrosis induced by im⁃mobilization .
3.Summary of best evidence for the management of arteriovenous fistula buttonhole puncture in hemodialysis patients
Pan WANG ; Junnan XIAO ; Yuxiao XIA ; Xiuli FENG
Chongqing Medicine 2025;54(6):1427-1434
Objective To summarize the best evidence of the management cycle of arteriovenous fistula buttonhole puncture,and to provide evidence-based support for the standardized management of arteriovenous fistula buttonhole puncture method in clinical practice.Methods Establishing evidence-based nursing issues,according to the"6s Evidence Model",computer searches were conducted on domestic and foreign databases,guideline websites,and professional association websites for relevant literature on arteriovenous fistula button-hole puncture in hemodialysis patients.The search period was from the establishment of the database to De-cember 31,2023.The guidelines were independently evaluated by four nursing staff who had received system-atic evidence-based nursing training,and other types of literature were independently evaluated by two person-nel.The JBI evidence grading system was applied to extract,evaluate,and grade evidence.Results Through literature search,a total of 15 articles were included,including 5 decision-making articles,5 guidelines,1 expert opinion article,3 expert consensus articles,and 1 systematic review article.Twenty-one best pieces of evidence had been summarized from seven aspects:puncture method selection,tunnel establishment,scab removal treatment,blunt needle insertion,puncture personnel training,infection prevention,and counseling and educa-tion.Conclusion This study summarizes the best evidence of the arteriovenous fistula buttonhole puncture management cycle,and provides a basis for clinically standardized the management of arteriovenous fistula buttonhole puncture.
4.Investigation and disposal of a suspected outbreak of hospital-acquired carbapenem-resistant Acinetobacter baumannii infection in an ICU
Hairui SONG ; Chunyan SUN ; Sihan XIAO ; Ruqing GAO ; Qi ZHANG ; Xiuli ZHANG
Chinese Journal of Nosocomiology 2025;35(15):2351-2356
OBJECTIVE To study the prevention and control strategies for carbapenem-resistant Acinetobacter bau-mannii(CRAB)infection through inves-tigating an outbreak of CRAB infection in an intensive care unit(ICU),and provide a scientific basis for the prevention and control of such hospital-acquired infections.METHODS Epide-miological investigations were conducted on patients with CRAB infection in the ICU of a hospital from Jul.7 to Jul.29,2023,and microbial sampling,identification and drug sensitivity testing were conducted on suspected con-taminated environments and items.Targeted prevention and control measures were taken to control the outbreak.RESULTS Within a short period,8 patients in this hospital developed CRAB hospital-acquired infection,among whom,the drug resistance profiles of CRAB isolated from the specimens of 7 patients in bed A4,A14,B18,B19,B20,B21 and B22 were consistent.Through environmental hygiene monitoring,CRAB isolated from patient clothing,isolation gowns and medical staff uniforms matched the drug resistance profiles of the seven patient iso-lates.After taking targeted measures,no new CRAB infection cases occurred in Oct.,and CRAB was no longer i-solated from the environment and medical fabrics.CONCLUSIONS The suspected outbreak of CRAB infection may be related to the inadequate management and contamination of medical fabrics.Therefore,in addition to strictly implementing the routine prevention and control measures for multidrug-resistant bacteria,it is also crucial to strengthen the standardized management of medical fabrics for the prevention and control of hospital-acquired in-fections and outbreaks.
5.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.
6.Establishment and validation of a predictive model for the progression of pancreatic cystic lesions based on clinical and CT radiological features
Wenyi DENG ; Feiyang XIE ; Li MAO ; Xiuli LI ; Zhaoyong SUN ; Kai XU ; Liang ZHU ; Zhengyu JIN ; Xiao LI ; Huadan XUE
Chinese Journal of Pancreatology 2024;24(1):23-28
Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.
7.Analysis of the Inpatient Spatial Flow and Influencing Factors in Sichuan Province
Lu AO ; Xiao LIU ; Jie PAN ; Chao SONG ; Xiuli WANG
Chinese Hospital Management 2024;44(4):44-50
Objective To analysis the current situation of hospitalized patients seeking medical treatment across different counties and the influencing factors from both the inflow and outflow perspectives.Methods Using the fourth quarter data of 2019 from the medical record index,with Sichuan Province as the research area,it analyzed the spatial flow of patients based on the patient's county of residence,the county where the hospital is located,and the number of mobile patients.By combining information at the individual patient level,healthcare institution level,and county level,it established two-level random intercept logistic regression analysis to explore the influencing factors from the perspectives of inflow and outflow.Results The proportion of patients seeking medical treatment across different counties in Sichuan is 22.90%.The majority of patients,with a population of over one thousand,are concentrated in the eastern region.However,the western region has a higher proportion of patients seeking medical treatment across counties.Chengdu and Mianyang are both the largest sources and recipients of patient flows.Being Han Chinese(49%,P<0.001),male(2%,P<0.001),Stable income(6%,P<0.001)and better medical insurance coverage(16%,P<0.001)at the patient level,as well as better healthcare resources at the institutional level,and higher economic(20%,P<0.001)and medical levels(5%,P<0.001)at the district and county level promote patients seeking medical treatment across counties.Conclusion Hospitalized patients in Sichuan Province tend to seek medical treatment from surrounding counties towards the county centers,as well as flowing to Chengdu from various locations.Promoting hierarchical medical treatment and encouraging patients to seek appropriate medical services can be achieved through strengthening patient health education,improving healthcare service levels,and promoting coordinated development between the economy and medical industry.
8.Effect of miR-1298-5p on biological behavior of non-small cell lung cancer cells and tumor immune microenvironment by targeting MSH2 gene
Yaosheng ZHANG ; Xiuli YANG ; Xiao REN ; Hongli WANG ; Ling SHEN ; Guosheng HUANG
Chinese Journal of Immunology 2024;40(9):1889-1894,1901
Objective:To investigate the potential mechanism of miR-1298-5p in non-small cell lung cancer(NSCLC)to regu-late the MSH2 gene and its effect on the biological behavior of tumor cells and the tumor immune microenvironment.Methods:Bioin-formatics was used to identify the key genes and miRNA involved in NSCLC.Cell proliferation was detected by CCK-8 assay,and cell invasion and migration were detected by Transwell assay.Levels of inflammatory factors were detected by ELISA assay.Western blot was used to measure the expression of MSH2 in cells,and fluorescence quantitative polymerase chain reaction(RT-qPCR)was used to detect the expressions of miR-1298-5p and MSH2 gene in NSCLC cells.Dual luciferase reporter gene assay was performed to verify the targeting relationship between miR-1298-5p and MSH2.Spearman correlation analysis was performed to correlate miR-1298-5p with immune cells and immune factors in the tumor immune microenvironment.Results:The level of miR-1298-5p was down-regulated in NSCLC cells compared with normal lung tissue cells.miR-1298-5p overexpression inhibited the proliferation,migration and inva-sion of NSCLC cells.MSH2 was confirmed to be a target gene of miR-1298-5p using luciferase reporter gene assay.Furthermore,down-regulation of miR-1298-5p in NSCLC cells could be reversed by silencing MSH2.miR-1298-5p expression levels were negatively corre-lated with the levels of Treg,IL-10,and TGF-β,and positively correlated with the levels of CD3+T,CD4+T,CD8+T,NK cells,IL-2,and IFN-γ.Conclusion:miR-1298-5p negatively regulates MSH2 to inhibit the proliferation,invasion and migration of NSCLC cells and improve the tumor immune microenvironment.
9.Prognostic and predictive values of tumor-stroma ratio in combination with fibrotic focus and stromal tumor-infiltrating lymphocytes for neoadjuvant therapy in triple-negative breast cancer
Tian XIA ; Xin LONG ; Rupei YE ; Jing WANG ; Jingbo CAI ; Xue WEN ; Xiuli XIAO
Chinese Journal of Clinical and Experimental Pathology 2024;40(11):1168-1173,1180
Purpose To investigate the correlation and prognostic value of tumor-stroma ratio(TSR)combined with fi-brotic focus(FF)and stromal tumor-infiltrating lymphocytes(sTILs)with pathological complete response(pCR)after neoad-juvant therapy in triple-negative breast cancer(TNBC).Meth-ods The clinical data of 170 cases of TNBC were collected.Af-ter double-blind reading of the sections by two senior patholo-gists,the pathological examination results of all cases were re-viewed,and the results of TSR,FF,sTILs and the expression of CD4 and CD8 were evaluated.Then the relationship between the above information and PCR and prognosis was analyzed.Results 170 cases of TNBC after neoadjuvant therapy,57 patients a-chieved pCR,while 113 patients did not achieve pCR.Statistical analysis revealed the following findings:TSR,FF,sTILs,CD4,CD8,Ki67,vascular invasion,and lymph node metastasis exhib-ited significant differences between the pCR and non-pCR groups.There were also significant differences in TSR,FF and sTILs between different Miller-Payne(MP)grades.TSR,sTILs,TSR combined with FF,sTILs and Ki67 were positively correlated with PCR.Meanwhile,TSR,sTILs,TSR combined with FF and sTILs were also positively correlated with MP grade,while FF,intravascular tumor thrombus and lymph node metasta-sis were negatively correlated with PCR.At the same time,TSR and sTILs were also positively correlated with MP grade,and FF was also negatively correlated with MP grade.The prognosis of patients was optimal with TSR>1,G0 FF and sTILs>50%.When TSR combined with FF and sTILs,the prognosis of PCR group was better than that of non-PCR group.Conclusion TSR,FF,and sTILs are anticipated to serve as predictive bio-markers for assessing the efficacy and prognosis of neoadjuvant therapy in TNBC patients.These findings offer novel insights into the treatment and research strategies for TNBC.
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.


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