1.Expert consensus on imaging diagnosis and analysis of early correction of childhood malocclusion.
Zitong LIN ; Chenchen ZHOU ; Ziyang HU ; Zuyan ZHANG ; Yong CHENG ; Bing FANG ; Hong HE ; Hu WANG ; Gang LI ; Jun GUO ; Weihua GUO ; Xiaobing LI ; Guangning ZHENG ; Zhimin LI ; Donglin ZENG ; Yan LIU ; Yuehua LIU ; Min HU ; Lunguo XIA ; Jihong ZHAO ; Yaling SONG ; Huang LI ; Jun JI ; Jinlin SONG ; Lili CHEN ; Tiemei WANG
International Journal of Oral Science 2025;17(1):21-21
Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans
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Malocclusion/diagnostic imaging*
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Child
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Consensus
2.Research on in-situ measurement methods for lunar dust surface potential under ultraviolet irradiation
Liyong CAO ; Jihong YAN ; Dandan JU ; Yunlong LI ; Lifang LI
Space Medicine & Medical Engineering 2025;36(2):148-151
In ground-based experiments,ultraviolet irradiation is used to charge simulated lunar dust,aiming to quantitatively study its charging and discharging behavior in space environments.However,due to factors such as vacuum and dust disturbances,the charging and discharging processes of lunar dust are difficult to measure accurately through contact methods.Therefore,this paper designs and constructs a non-contact,in-situ surface potential measurement system based on the principle of vibrating capacitance,suitable for vacuum environments.The system combines moving average and standard deviation methods for data filtering and introduces a weighted KNN algorithm to predict and compensate for missing or anomalous data,thereby improving measurement accuracy and stability.Two typical simulated lunar dust samples,TYII-2 and CLRS-1A,were selected for charging and discharging experiments under ultraviolet irradiation.The surface potential distribution was obtained in real-time using an in-situ motion mechanism equipped with a vibrating capacitance sensor.The results show significant differences in the charging response and dissipation characteristics of the samples with different particle size distributions.
3.Construction and validation of prediction models for delayed encephalopathy after acute carbon monoxide poisoning based on machine learning
Yanwu YU ; Yan ZHANG ; Ding YUAN ; Huihui HAO ; Fang YANG ; Hongyi YAN ; Pin JIANG ; Mengnan GUO ; Zhigao XU ; Changhua SUN ; Gaiqin YAN ; Lu CHE ; Jianjun GUO ; Jihong CHEN ; Yan LI ; Yanxia GAO
Chinese Journal of Emergency Medicine 2025;34(10):1403-1409
Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.
4.Application of computer-aided design modified 3D printing model in video-assisted thoracoscopic sublobular resection for early lung cancer: A retrospective cohort study
Xinyu ZHANG ; Linqian LI ; Haoran LI ; Qiang GUO ; Hongli YAN ; Jinghua LI ; Shujie CHENG ; Hefei LI ; Ke ZHANG ; Jihong YANG ; Jianguo WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(09):1266-1273
Objective To compare the effect of three-dimensional visual (3DV) model, three-dimensional printing (3DP) model and computer-aided design (CAD) modified 3DP model in video-assisted thoracoscopic surgery (VATS) sublobular resection. Methods The clinical data of patients who underwent VATS sublobular resection in the Affiliated Hospital of Hebei University from November 2021 to August 2022 were retrospectively analyzed. The patients were divided into 3 groups including a 3DV group, a 3DP group and a CAD-3DP group according to the tools used. The perioperative indexes and subjective evaluation of operators, patients and their families were compared. Results A total of 22 patients were included. There were 5 males and 17 females aged 32-77 (56.95±12.50) years. There were 9 patients in the 3DV group, 6 patients in the 3DP group, and 7 patients in the CAD-3DP group. There was no statistical difference in the operation time, intraoperative blood loss, drainage volume, hospital stay time or postoperative complications among the groups (P>0.05). Based on the subjective evaluations of 4 surgeons, the CAD-3DP group was better than the 3DV group in the preoperative planning efficiency (P=0.025), intuitiveness (P=0.045) and doctor-patient communication difficulty (P=0.034); the CAD-3DP group was also better than the 3DP group in the overall satisfaction (P=0.023), preoperative planning difficulty (P=0.046) and efficiency (P=0.014). Based on the subjective evaluations of patients and their families, the CAD-3DP group was better than the 3DP group in helping understand the vessel around the tumor (P=0.016), surgical procedure (P=0.020), procedure selection (P=0.029), and overall satisfaction (P=0.048); the CAD-3DP group was better than the 3DV group in helping understand the tumor size (P=0.038). Conclusion CAD-modified 3DP model has certain advantages in pre-planning, intraoperative navigation and doctor-patient communication in the VATS sublobectomy.
5.Contrast-enhanced CT and MRI in differentiating squamous cell carcinoma of the nasal cavity and sinuses from lymphoma
Haijing CHEN ; Yaying YANG ; Wei ZHAO ; Jihong HU ; Li WU ; Linglin ZHENG ; Yan WU ; Qingqing LI
The Journal of Practical Medicine 2024;40(3):394-399
Objective To investigate the enhanced CT and MRI imaging features of nasal sinus squamous cell carcinoma(SCC)and lymphoma(NHL),and to analyze the efficacy of different imaging features in differentiating nasal sinus SCC from NHL.Methods The imaging,clinical and pathological data of 67 patients with sinus SCC and NHL who underwent sinus CT and MRI with contrast CT and MRI in our hospital and confirmed by surgical pathology were retrospectively analyzed,and the tumor origin,maximum diameter,CT density,MRI signal intensity,enhancement degree,tumor internal necrosis,adjacent bone destruction,invasion of surrounding tissues,and The imaging features such as cervical lymph node metastasis within the scanning range were analyzed,and the receiver operating characteristic(ROC)curve and area under the curve(AUC)were used to analyze the efficacy of different imaging features to distinguish nasal sinus SCC and NHL.Results There were statistically significant differences between the five imaging features of nasal sinus SCC and NHL,including tumor origin,maximum diameter,internal tumor necrosis,surrounding bone destruction and peripheral tissue invasion(P<0.05),and the AUC of differentiating SCC and NHL were 0.708,0.694,0.785,0.850 and 0.629,respectively.The AUC of SCC and NHL was 0.969,and the sensitivity and specificity were 83.9%and 97.2%,respectively.Conclusion On contrast-enhanced CT and MRI,the imaging signs of tumor origin,maximum diameter,tumor internal necrosis,bone destruction and surrounding tissue invasion are helpful to distinguish nasal sinus SCC from NHL,especially if the tumor originates in the nasal cavity,necrosis is rare,bone destruction is mild,and the possibility of nasal sinus NHL should be given priority.Contrast-enhanced CT and MRI can help differentiate nasal sinus SCC from NHL,and the combination can help improve differential diagnostic performance.
6.Resistance exercise improves body composition in overweight and obese people:an umbrella review
Xinyu DAI ; Jihong YAN ; Lingjun HUA ; Xiaohong ZHENG
Chinese Journal of Tissue Engineering Research 2024;28(2):267-271
BACKGROUND:Resistance exercise increases muscle mass and improves muscle strength,but there is a lack of conclusive evidence on its effects on body composition.Controversial results from randomized controlled trials and multiple Meta-analyses pose a problem for clinical decisions on exercise interventions. OBJECTIVE:Based on the methodological paradigm of umbrella review,to explore the efficacy and safety of resistance exercise in improving the body composition of overweight and obese people. METHODS:We searched PubMed,Cochrane Library,Web of Science,and CNKI for systematic reviews on the effect of resistance exercise in overweight and obese people published from database inception to August 31,2022.Chinese search terms included"anti-resistance,resistance,self-weight,Meta,Meta-analysis,body composition,body fat percentage,fat mass,lean body mass,body mass."English search terms included"resistance training,strength training,weight-lifting strengthening program,body composition,body fat distribution,Meta-analysis,data pooling,overviews,clinical trial,clinical trial overviews."PRISMA was used to evaluate the methodological quality of the included studies,and a GRADE evaluation system was used to grade the quality of evidence. RESULTS AND CONCLUSION:A total of 14 Meta-analyses were included,and GRADE evidence quality evaluation showed that 2 outcome indicators were intermediate,12 were low,and 14 were extremely low.Compared with the control group,23 of the 32 outcome measures showed significant improvement.The intervention effect of resistance exercise on body fat percentage has reached a consensus,but the intervention effects on lean body mass,body mass index and visceral fat still need further confirmation.Resistance exercise is an effective and safe method to improve the body composition of overweight and obese people.The overall quality of the research and the evidence quality of the outcome indicators included in the systematic evaluation are generally low.In the future,the initial state,exercise goal and willingness of the subjects should be fully combined on the basis of clarifying the sample characteristics and refining the scheme design.Through multiple,scientific and personalized exercise prescription designs of water,air and elastic resistance,the safety and compliance of resistance exercise can be improved,providing clear evidence-based support and decision-making basis for resistance exercise intervention.
7.Effects of mask-wearing exercise on heart rate,blood oxygen saturation and end-expiratory carbon dioxide:a Meta-analysis
Xinyu DAI ; Jihong YAN ; Xuecui BI ; Xiaohong ZHENG
Chinese Journal of Tissue Engineering Research 2024;28(14):2290-2296
OBJECTIVE:Masks are one of the most important defenses against the virus.However,the impact of wearing masks during daily activities or sports on respiratory and circulatory function remains controversial.A comprehensive quantitative evaluation of the effects of mask-wearing on human heart rate,oxygen saturation and end-expiratory carbon dioxide by Meta-analysis was conducted.The effects of wearing different types of masks at different exercise intensities and time of exercise on the human respiratory and circulatory system were explored. METHODS:By February 2023,with"mask,face mask,N95,training,sports,running,walking,cycling"as the Chinese search terms and"masks,respiratory protective devices,N95 respirators,surgical face masks,exercise,resistance training,explosive training,muscle exercises"as English search terms,the experimental studies addressing the influence of exercise with a mask on hemodynamic indexes were retrieved from CNKI,Web of Science,PubMed,Cochrane Library and WanFang databases.The outcome indicators included three continuous variables-exercise center rate,blood oxygen saturation and end-expiratory carbon dioxide.Stata16.0 software was used to analyze the outcome indicators of the included literature.The PEDro scale was used as a quality assessment tool,and the funnel plot was used to analyze the impact of publication bias. RESULTS:Totally 25 articles involving 857 healthy children and adults were included in this Meta-analysis.The overall methodological quality was high,with 22 studies scoring 6 points on the PEDro scale,2 studies scoring 7 points and 1 study scoring 8 points.The meta-analysis results showed that compared with the control group,exercise with masks had no significant effect on heart rate(SMD=0.02,95%CI:-0.11 to 0.15,P=0.81),but increased end-expiratory carbon dioxide(SMD=0.60,95%CI:0.37 to 0.83,P=0.00),decreased oxygen saturation(SMD=-0.28,95%CI:-0.47 to-0.09,P=0.03).Intensity and duration were the factors that affected the heterogeneity between studies.Wearing a mask during high-intensity exercise significantly increased heart rate(SMD=-0.20,95%CI:-0.36 to-0.04,P=0.02).The effect of high-intensity and short-time exercise on blood oxygen saturation was significantly higher than that of other exercises(SMD=-0.40,95%CI:-0.70 to-0.10;SMD=-0.25,95%CI:-0.45 to-0.04).For end-expiratory carbon dioxide,maintaining a certain intensity and increasing the exercise time or increasing the intensity further increased the index significantly,reaching a moderate effect size(SMD=0.61,95%CI:0.06 to 1.15;SMD=0.58,95%CI:0.04 to 1.13). CONCLUSION:Existing evidence suggests that exercise with masks may have the adverse effect of increasing end-expiratory carbon dioxide and decreasing blood oxygen saturation.The influence of different exercise test time and intensities on the three outcome indexes was different.Wearing a mask during high-intensity exercise can significantly increase heart rate and decrease blood oxygen saturation.Maintaining moderate intensity for a long period or further increasing the intensity of exercise will lead to increased end-expiratory carbon dioxide levels.
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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