1.Exploring the construction path of the new doctor-patient relationships of “doctor-medical artificial intelligence-patient”
Ruyi ZHANG ; Yun’ao ZHOU ; Yingchun PENG
Chinese Medical Ethics 2025;38(1):103-108
The widespread application of medical artificial intelligence (AI) has brought technological breakthroughs to traditional diagnosis and treatment and has also altered the traditional doctor-patient interaction mode and formed a new doctor-patient relationship of “doctor-medical AI-patient” which faces a series of challenges. The intervention of AI may form a new “paternalistic style,” affecting the shared decision-making model. When its recommendations lack explanation, it may lead to clinical decision-making paralysis and affect the doctor-patient trust relationships. There may be confusion between the roles and responsibilities of AI and doctors in the process of medical practice, affecting the establishment of an emotionally responsible doctor-patient relationship. Through an in-depth analysis of the impact and causes of medical AI on the doctor-patient relationships, this paper proposed that a collaborative mechanism should be established between AI and professional doctors to complement each other, clarifying the auxiliary status of AI, reinforcing the dominant role of doctors, enhancing the regulatory mechanism, and dynamically improved the doctor-patient relationships to promote the healthy and orderly development of smart healthcare.
2.Genetic analysis of cases from a family with reduced B antigen expression in ABO blood group system
Taimei ZHOU ; Yingchun YANG ; Zihao ZHAO ; Weizhen XU ; Zishan JIAN ; Tongping YANG
Chinese Journal of Blood Transfusion 2025;38(5):717-722
Objective: To classify the ABO blood group phenotypes of 5 cases from a family, and to explore the molecular mechanism for reduced B antigen expression in ABO blood group system. Methods: Serological identification of the ABO blood group was performed using microcolumn gel assay and saline tube method. The soluble antigens in saliva were detected by the agglutination inhibition assay. The full-length sequences and upstream promoter regions of ABO gene were sequenced for genotyping using PacBio SMRT sequencing technology. Results: The results of serological tests indicated the expression of B antigen decreased in 3 out of 5 blood samples. A mixed-field agglutination was observed with anti-B antibody. B antigen was not detected in all 5 saliva samples. The ABO genotype for all samples were ABO
B.01/ABO
O.01.02, and a novel mutation c. 28+5875C>T within the DNA-binding region of RUNX1 in +5.8-kb site were found in the B allele for 3 samples with reduced expression of B antigen. Conclusion: Results of serological and genetic analyses classify the 3 cases with reduced B antigen expression as B
phenotype. The novel mutation c. 28+5875C>T of RUNX1 could be the key reason for reduced B antigen expression in 3 cases with B
phenotype.
3.Association between dysbiosis of the gut and lung microbiome and asthma in children
Peng TONG ; Menghua CHENG ; Yingchun WANG ; Shuping ZHOU ; Youdong YAO
Journal of Public Health and Preventive Medicine 2025;36(5):125-129
Objective To analyze the types and distribution of microbiome in intestinal and lung tissues of children with asthma, and to explore the correlation between microbiota changes and asthma. Methods From 2021 to 2023, a total of 28,939 children with asthma who visited Ezhou Central Hospital, Maternal and Child Health Hospital or Ezhou Egang Hospital were selected as the study subjects, and 2,000 healthy children who underwent outpatient physical examinations at these three hospitals during the same period were selected as the control group. The distribution and characteristics of intestinal and pulmonary microbiome in the two groups were analyzed by 16SrDNA sequencing. Logistic regression analysis model was used to analyze the correlation between microbiota distribution and asthma occurrence. Results In the intestinal tissues of children with asthma compared to healthy children, the abundance of Bacteroidetes at the phylum level decreased, while the abundance of Firmicutes and Proteobacteria increased significantly (P<0.05), and the abundance of Prevotalle and Clostridium at the genus level increased significantly. In lung tissues of asthmatic children compared to health children, the abundance of Firmicutes at the phylum level decreased while the abundance of Proteobacteria increased significantly (P<0.05), and the abundance of Neisseria, Prevotella and Actinomyces at the genus level increased significantly. Binary logistic regression results showed that the abundances of Lactobacillus (OR=0.842, 95% CI: 0.533-0.947), Bacteroides fragilis (OR=0.649, 95%CI: 0.377-0.890), Bifidobacterium (OR=0.901, 95% CI: 0.633-0.994), and Parabacteroides distasonis (OR=0.547, 95% CI: 0.192-0.708) in the intestinal tissues were all protective factors for the asthma in children. In the lung tissue, the abundance of Neisseria (OR=2.140, 95% CI: 1.749-3.305) was a risk factor for the asthma in children, and Prevotella (OR=0.691, 95% CI: 0.491-0.926) was a protective factor for the asthma in children (P<0.05). Conclusion The dysbiosis of intestinal and pulmonary microbiome is closely related to the occurrence of asthma in children, and the detection of microbiota is of great significance for the diagnosis of childhood asthma.
4.Association between dysbiosis of the gut and lung microbiome and asthma in children
Peng TONG ; Menghua CHENG ; Yingchun WANG ; Shuping ZHOU ; Youdong YAO
Journal of Public Health and Preventive Medicine 2025;36(5):125-129
Objective To analyze the types and distribution of microbiome in intestinal and lung tissues of children with asthma, and to explore the correlation between microbiota changes and asthma. Methods From 2021 to 2023, a total of 28,939 children with asthma who visited Ezhou Central Hospital, Maternal and Child Health Hospital or Ezhou Egang Hospital were selected as the study subjects, and 2,000 healthy children who underwent outpatient physical examinations at these three hospitals during the same period were selected as the control group. The distribution and characteristics of intestinal and pulmonary microbiome in the two groups were analyzed by 16SrDNA sequencing. Logistic regression analysis model was used to analyze the correlation between microbiota distribution and asthma occurrence. Results In the intestinal tissues of children with asthma compared to healthy children, the abundance of Bacteroidetes at the phylum level decreased, while the abundance of Firmicutes and Proteobacteria increased significantly (P<0.05), and the abundance of Prevotalle and Clostridium at the genus level increased significantly. In lung tissues of asthmatic children compared to health children, the abundance of Firmicutes at the phylum level decreased while the abundance of Proteobacteria increased significantly (P<0.05), and the abundance of Neisseria, Prevotella and Actinomyces at the genus level increased significantly. Binary logistic regression results showed that the abundances of Lactobacillus (OR=0.842, 95% CI: 0.533-0.947), Bacteroides fragilis (OR=0.649, 95%CI: 0.377-0.890), Bifidobacterium (OR=0.901, 95% CI: 0.633-0.994), and Parabacteroides distasonis (OR=0.547, 95% CI: 0.192-0.708) in the intestinal tissues were all protective factors for the asthma in children. In the lung tissue, the abundance of Neisseria (OR=2.140, 95% CI: 1.749-3.305) was a risk factor for the asthma in children, and Prevotella (OR=0.691, 95% CI: 0.491-0.926) was a protective factor for the asthma in children (P<0.05). Conclusion The dysbiosis of intestinal and pulmonary microbiome is closely related to the occurrence of asthma in children, and the detection of microbiota is of great significance for the diagnosis of childhood asthma.
5.Progress in the Study of Polymyxin Heteroresistance Molecular Mechanisms
Yanbing LI ; Menglan ZHOU ; Yingchun XU
Medical Journal of Peking Union Medical College Hospital 2024;16(1):177-183
Polymyxins, a class of cyclic peptide antibiotics, have become the last line of defense against gram-negative bacterial infections as the number of multidrug-resistant bacteria continues to rise. Heteroresistance refers to the presence of subpopulations within the same strain with varying sensitivities to antibiotics, which cannot be detected by standard clinical tests and may result in treatment failure. In several common gram-negative bacteria, mutations in the PhoPQ and PmrAB two-component systems are key contributors to polymyxin heteroresistance. This review aims to summarize recent research on the mechanisms of polymyxin heteroresistance in gram-negative bacteria, so as to provide insights for developing rapid detection methods and improving clinical treatment strategies.
6.Association of sleep duration and physical exercise with dyslipidemia in older adults aged 80 years and over in China
Bing WU ; Yang LI ; Lanjing XU ; Zheng ZHANG ; Jinhui ZHOU ; Yuan WEI ; Chen CHEN ; Jun WANG ; Changzi WU ; Zheng LI ; Ziyu HU ; Fanye LONG ; Yudong WU ; Xuehua HU ; Kexin LI ; Fangyu LI ; Yufei LUO ; Yingchun LIU ; Yuebin LYU ; Xiaoming SHI
Chinese Journal of Epidemiology 2024;45(1):48-55
Objective:To explore the impact of sleep duration, physical exercise, and their interactions on the risk of dyslipidemia in older adults aged ≥80 (the oldest old) in China.Methods:The study subjects were the oldest old from four rounds of Healthy Aging and Biomarkers Cohort Study (2008-2009, 2011-2012, 2014 and 2017-2018). The information about their demographic characteristics, lifestyles, physical examination results and others were collected, and fasting venous blood samples were collected from them for blood lipid testing. Competing risk model was used to analyze the causal associations of sleep duration and physical exercise with the risk for dyslipidemia. Restricted cubic spline (RCS) function was used to explore the dose-response relationship between sleep duration and the risk for dyslipidemia. Additive and multiplicative interaction model were used to explore the interaction of sleep duration and physical exercise on the risk for dyslipidemia.Results:The average age of 1 809 subjects was (93.1±7.7) years, 65.1% of them were women. The average sleep duration of the subjects was (8.0±2.5) hours/day, 28.1% of them had sleep duration for less than 7 hours/day, and 27.2% had sleep for duration more than 9 hours/day at baseline survey. During the 9-year cumulative follow-up of 6 150.6 person years (follow-up of average 3.4 years for one person), there were 304 new cases of dyslipidemia, with an incidence density of 4 942.6/100 000 person years. The results of competitive risk model analysis showed that compared with those who slept for 7-9 hours/day, the risk for dyslipidemia in oldest old with sleep duration >9 hours/day increased by 22% ( HR=1.22, 95% CI: 1.07-1.39). Compared with the oldest old having no physical exercise, the risk for dyslipidemia in the oldest old having physical exercise decreased by 33% ( HR=0.67, 95% CI: 0.57-0.78). The RCS function showed a linear positive dose-response relationship between sleep duration and the risk for hyperlipidemia. The interaction analysis showed that physical exercise and sleep duration had an antagonistic effect on the risk for hyperlipidemia. Conclusion:Physical exercise could reduce the adverse effects of prolonged sleep on blood lipids in the oldest old.
7.Influencing factors of poor anal function after laparoscopic intersphincteric resection for extremely low rectal cancer and to construct a predictive model
Ning HAN ; Xiaodong WANG ; Yingchun LI ; Haihua ZHOU ; Linlin PAN ; Chen YU
Journal of Clinical Surgery 2024;32(8):887-891
Objective To analyze the influencing factors of poor anal function after laparoscopic intersphincteric resection(Lap-ISR)for extremely low rectal cancer,and to construct and verify a prediction model based on this model,in order to provide guidance for improving the anal function of patients with extremely low rectal cancer after Lap-ISR.Method A total of 127 patients with extremely low rectal cancer who underwent Lap-ISR in Taizhou People's Hospital from June 2020 to June 2022 were retrospectively selected.Patients were followed up for 12 months after surgery,and postoperative anal function was evaluated by the anal incontinence score(Wexner).According to Wexner score,the patients were divided into good anal function group(106 cases)and poor anal function group(21 cases).The clinical data of patients were collected and the risk factors affecting postoperative poor anal dysfunction were analyzed,and a Nomogram model was constructed to predict the risk of postoperative anal dysfunction in patients after Lap-ISR,and the receiver operating characteristic curve(ROC)was drawn.The area under the curve(AUC)was used to analyze the predictive efficacy of the prediction model for poor anal dysfunction after Lap-ISR.Result The incidence of anal dysfunction after Lap-ISR in patients with extremely low rectal cancer was 16.54%(21/127).Univariate analysis showed that there was no significant difference in gender,age,body mass index,clinical stage,combined underlying diseases,operation time,intraoperative blood loss,anastomosis method,and the distance from the lower edge of the tumor to the dentate line between the two groups(P>0.05).The proportion of tumor diameter≥5 cm,the proportion of neoadjuvant chemotherapy,the distance between anastomosis and anal verge<2 cm,and the proportion of anastomotic leakage in the anal dysfunction group were higher than those in the good anal function group(P<0.05).Cox multivariate regression analysis showed that tumor diameter≥5 cm(OR=5.124),neoadjuvant chemotherapy(OR=5.761)and anastomotic leakage(OR=6.881)were risk factors for postoperative anal function(P<0.05).Wexner score of patients with tumor diameter ≥5 cm was higher than that of patients with tumor diameter<5 cm,Wexner score of patients with neoadjuvant chemotherapy was higher than that of patients without neoadjuvant chemotherapy,and Wexner score of patients with anastomotic leakage was higher than that of patients without anastomotic leakage(P<0.05).Internal validation of Bootstrap method showed that the C-index was 0.785(95%CI:0.692-0.851).The results of ROC curve showed that the sensitivity and specificity of the nomogram model in predicting postoperative poor anal function of patients were 85.70%and 88.70%,respectively,and the AUC was 0.895(95%CI:0.795-0.984).Conclusion Tumor diameter,neoadjuvant chemotherapy and anastomotic leakage are risk factors for poor anal function after Lap-ISR in patients with extremely low rectal cancer.The nomogram risk prediction model based on the above risk factors has a good risk efficiency in evaluating the risk of postoperative anal dysfunction in patients.
8.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.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.


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