1.Quality evaluation of Xinjiang Rehmannia glutinosa and Rehmannia glutinosa based on fingerprint and multi-component quantification combined with chemical pattern recognition.
Pan-Ying REN ; Wei ZHANG ; Xue LIU ; Juan ZHANG ; Cheng-Fu SU ; Hai-Yan GONG ; Chun-Jing YANG ; Jing-Wei LEI ; Su-Qing ZHI ; Cai-Xia XIE
China Journal of Chinese Materia Medica 2025;50(16):4630-4640
The differences in chemical quality characteristics between Xinjiang Rehmannia glutinosa and R. glutinosa were analyzed to provide a theoretical basis for the introduction and quality control of R. glutinosa. In this study, the high performance liquid chromatography(HPLC) fingerprints of 6 batches of Xinjiang R. glutinosa and 10 batches of R. glutinosa samples were established. The content of iridoid glycosides, phenylethanoid glycosides, monosaccharides, oligosaccharides, and polysaccharides in Xinjiang R. glutinosa and R. glutinosa was determined by high performance liquid chromatography-diode array detection(HPLC-DAD), high performance liquid chromatography-evaporative light scattering detection(HPLC-ELSD), and ultraviolet-visible spectroscopy(UV-Vis). The determination results were analyzed with by chemical pattern recognition and entropy weight TOPSIS method. The results showed that there were 19 common peaks in the HPLC fingerprints of the 16 batches of R. glutinosa, and catalpol, aucubin, rehmannioside D, rehmannioside A, hydroxytyrosol, leonuride, salidroside, cistanoside A, and verbascoside were identified. Hierarchical cluster analysis(HCA) and principal component analysis(PCA) showed that Qinyang R. glutinosa, Mengzhou R. glutinosa, and Xinjiang R. glutinosa were grouped into three different categories, and eight common components causing the chemical quality difference between Xinjiang R. glutinosa and R. glutinosa in Mengzhou and Qinyang of Henan province were screened out by orthogonal partial least squares discriminant analysis(OPLS-DA). The results of content determination showed that there were glucose, sucrose, raffinose, stachyose, polysaccharides, and nine glycosides in Xinjiang R. glutinosa and R. glutinosa samples, and the content of catalpol, rehmannioside A, leonuride, cistanoside A, verbascoside, sucrose, and glucose was significantly different between Xinjiang R. glutinosa and R. glutinosa. The analysis with entropy weight TOPSIS method showed that the comprehensive quality of R. glutinosa in Mengzhou and Qinyang of Henan province was better than that of Xinjiang R. glutinosa. In conclusion, the types of main chemical components of R. glutinosa and Xinjiang R. glutinosa were the same, but their content was different. The chemical quality of R. glutinosa was better than Xinjiang R. glutinosa, and other components in R. glutinosa from two producing areas and their effects need further study.
Rehmannia/classification*
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Drugs, Chinese Herbal/chemistry*
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Chromatography, High Pressure Liquid/methods*
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Quality Control
2.Prediction of testicular histology in azoospermia patients through deep learning-enabled two-dimensional grayscale ultrasound.
Jia-Ying HU ; Zhen-Zhe LIN ; Li DING ; Zhi-Xing ZHANG ; Wan-Ling HUANG ; Sha-Sha HUANG ; Bin LI ; Xiao-Yan XIE ; Ming-De LU ; Chun-Hua DENG ; Hao-Tian LIN ; Yong GAO ; Zhu WANG
Asian Journal of Andrology 2025;27(2):254-260
Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans
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Male
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Azoospermia/diagnostic imaging*
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Deep Learning
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Testis/pathology*
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Retrospective Studies
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Adult
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Ultrasonography/methods*
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Sperm Retrieval
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Sertoli Cell-Only Syndrome/diagnostic imaging*
3.Comparison on odor components before and after processing of Cervi Cornu Pantotrichum based on electronic nose, HS-GC-MS, and odor activity value.
Xiao-Yu YAO ; Ke SHEN ; Di WU ; Xiao-Fei SUN ; Chun-Qin MAO ; Li FU ; Xiao-Yan WANG ; Hui XIE ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(2):421-431
Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis*
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Electronic Nose
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Gas Chromatography-Mass Spectrometry/methods*
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Animals
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Volatile Organic Compounds/analysis*
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Deer
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Drugs, Chinese Herbal/chemistry*
4.Application and significance of prone position in the treatment of patients with severe pneumonia in intensive care unit
Huiyan YU ; Chun GUAN ; Weifeng XIE ; Qingshu LI ; Yan QU ; Yu LUO ; Dan HU
Chinese Critical Care Medicine 2024;36(4):364-368
Objective:To investigate the effect of prone position on the prognosis of patients with severe pneumonia in intensive care unit (ICU).Methods:A retrospective cohort study was conducted. The patients with severe pneumonia admitted to the ICU of Qingdao Municipal Hospital from May 2022 to August 2023 were enrolled. The general information, etiology, underlying diseases, vital signs and laboratory indicators at ICU admission, clinical treatment and prognosis during ICU hospitalization were collected. The above clinical data of patients with different prognosis were compared. Multifactorial Logistic regression analysis was used to screen the related factors affecting survival during ICU in patients with severe pneumonia. The change in oxygenation index (PaO 2/FiO 2) of patients with severe pneumonia were observed at 1 hour before the first prone position, 1 hour after the first prone position, and 1 hour after the end of the first prone position. The effect of prone position on oxygenation in patients with severe pneumonia was analyzed. Spearman correlation analysis was used to investigate the correlation between the duration to first prone position and the change in the PaO 2/FiO 2 before and after prone position in patients with severe pneumonia. Results:Finally, a total of 144 patients with severe pneumonia were enrolled, 45 survived and 99 died during ICU hospitalization, with a mortality of 68.8%. Compared with the survival group, the patients in the death group were older [years old: 81.00 (70.75, 86.00) vs. 71.00 (60.50, 81.50), P < 0.01], the proportion of pre-existing lung disease, heart rate (HR), respiratory rate (RR), blood lactic acid (Lac) and the ratio of continuous renal replacement therapy (CRRT) were higher [ratio of pre-existing lung disease: 23.2% (23/99) vs. 8.9% (4/45), HR (bpm): 99.61±22.47 vs. 91.49±18.76, RR (times/min): 22.50 (19.75, 29.25) vs. 20.00 (17.50, 24.50), Lac (mmol/L): 2.00 (1.55, 3.25) vs. 1.60 (1.20, 1.95), CRRT ratio: 25.3% (25/99) vs. 6.7% (3/45), all P < 0.05], and the proportion of prone position was lower [41.4% (41/99) vs. 68.9% (31/45), P < 0.01]. Multifactorial Logistic regression analysis showed that age [odds ratio ( OR) = 0.946, 95% confidence interval (95% CI) was 0.912-0.980, P = 0.002] and Lac ( OR = 0.563, 95% CI was 0.340-0.930, P = 0.025) were negatively correlated with survival during ICU hospitalization in severe pneumonia patients, while prone position was positively correlated with survival ( OR = 2.551, 95% CI was 1.067-6.095, P = 0.035), indicating that prone position was beneficial for improving ICU prognosis in severe pneumonia patients. The results of PaO 2/FiO 2 at different time points in prone position showed that PaO 2/FiO 2 at 1 hour of the first prone position in the patients with severe pneumonia was significantly higher than that at 1 hour before the first prone position [mmHg (1 mmHg ≈ 0.133 kPa): 146.69 (113.92, 257.25) vs. 111.75 (70.15, 212.20), P < 0.01], indicating that the prone position had a relevant effect on the improvement of oxygenation in patients. Spearman correlation analysis showed that the duration of the first prone position in patients with severe pneumonia was significantly and positively correlated with the improvement of oxygenation at 1 hour of the first prone position ( r = 0.565, P < 0.001). Conclusions:The prone position is a therapeutic measure that can independently influence the prognosis of patients with severe pneumonia during ICU hospitalization. The prone position effectively improves oxygenation in patients with severe pneumonia and the first change in oxygenation in patients is related to the duration of the prone position.
5.Quality evaluation of Changmaile Capsules(Ⅰ)
Kuan ZHANG ; Yu-Hang OU ; Chun-Yan LUO ; Yi-Ling WENG ; Yu-He XIE ; Jin-Xian YAN
Chinese Traditional Patent Medicine 2024;46(7):2134-2139
AIM To evaluate the quality of Changmaile Capsules(Ⅰ).METHODS The analysis was performed on a 35℃ thermostatic Thermo Scientific AccucoreTM XL C18 column(4.6 mm×250 mm,4 μm),with the mobile phase comprising of methanol-acetonitrile-0.5% phosphoric acid flowing at 1 mL/min in a gradient elution manner,and the detection wavelengths were set at 230,280 nm.The contents of gastrodin,danshensu,quercetin-3-O-β-D-glucose-7-O-β-D-gentiobioside,3′-hydroxypuerarin,puerarin,3′-methoxypuerarin,puerarin apioside,daidzin,rosmarinic acid,lithospermic acid,ononin,daidzein,salvianolic acid B,calycosin,paeoniflorin and isoquercitrin were determined,after which HPLC fingerprints were established,along with the calculation of similarities.RESULTS Sixteen constituents showed good linear relationships within their own ranges(r≥0.999 0),whose average recoveries were 87.4%-103.9% with the RSDs of 0.54%-3.10% .At 230 nm,the fingerprints of ten batches of samples demonstrated similarities of 0.954-0.999,which displayed obvious differences at 280 nm.3′-Hydroxypuerarin,puerarin,3′-methoxypuerarin,puerarin apioside,daidzin and daidzein were main differential constituents,paeoniflorin and isoquercitrin exhibited stable contents in various batches of samples.CONCLUSION This simple,accurate and reliable method can be used for the quality control of Changmaile Capsules(Ⅰ).
6.Protective effects of Shiwei Ruxiang Powder on renal injury in rats with gouty nephritis by regulating mitochondrial autophagy
Yan-Rong ZHU ; He-Bing XIE ; Chun-Xiang GONG ; Jie-Nan ZHAO ; Zhi-Bing YUAN
Chinese Traditional Patent Medicine 2024;46(9):2923-2930
AIM To investigate the renal protective effects of Shiwei Ruxiang Powder on gouty nephritis in rats based on mitophagy.METHODS Rats were randomly divided into the blank group,the model group,the low-dose,medium-dose,and high-dose Shiwei Ruxiang Powder groups(200,400,800 mg/kg)and allopurinol group(10 mg/kg).The rat model of gouty nephropathy was established by gavage of potassium oxyzinate(750 mg/kg)and uric acid(300 mg/kg).The rats had their levels of UA,SCr,BUN,XOD,SOD,MDA,ROS measured by automatic biochemical analyzer,ELISA and chemical fluorescence method;their renal pathological changes observed by HE staining;their apoptosis of renal tissue cells observed by TUNEL staining;and their mRNA and protein expressions of IL-1β,TNF-α,Bax,Bcl-2,caspase-3,caspase-9,PINK1,Parkin and LC3-Ⅱ detected by RT-qPCR and Western blot.RESULTS Compared with the model group,Shiwei Ruxiang Powder groups displayed dose-dependently decreased serum levels of UA,BUN and SCr,renal deposition of urate crystal and apoptosis(P<0.05);decreased renal levels of ROS and inflammatory factors IL-1β and TNF-α(P<0.05);and increased renal expressions of mitochondrial autophagy-related proteins PINK1,Parkin and LC3-Ⅱ(P<0.01).CONCLUSION Shiwei Ruxiang Powder may relieve gouty kidney injury in rats by reducing the uric acid level,the renal oxidative stress and inflammatory response,and activating mitophagy pathway as well.
7.Development and validation of a dynamic prediction tool for post-endo-scopic retrograde cholangiopancreatography early biliary tract infection in patients with choledocholithiasis
Peng LI ; Chao LIANG ; Jia-Feng YAN ; Chun-Hui GAO ; Zhi-Jie MA ; Zhan-Tao XIE ; Ming-Jie SUN
Chinese Journal of Infection Control 2024;23(6):692-699
Objective To develop a prediction tool for post-endoscopic retrograde cholangiopancreatography(ER-CP)early biliary tract infection(PEEBI)in patients with choledocholithiasis,and assist clinical decision-making be-fore ERCP and early personalized intervention after ERCP.Methods An observational bidirectional cohort study was adopted to select inpatients with choledocholithiasis who underwent ERCP in a hospital.Directed acyclic graph(DAGs)and the least absolute shrinkage and selection operator(LASSO)were used to predict PEEBI based on lo-gistic regression,and the models were compared and validated internally and externally.Results From January 1,2020 to September 30,2023,a total of 2 121 patients with choledocholithiasis underwent ERCP were enrolled,of whom 77(3.6%)developed PEEBI,mostly in the first 2 days after surgery(66.2%).The major influencing fac-tors for PEEBI were non-iatrogenic patient-related factors,namely diabetes mellitus(OR=2.43,95%CI:1.14-4.85),bile duct malignancy(OR=3.95,95%CI:1.74-8.31)and duodenal papillary diverticulum(OR=4.39,95%CI:1.86-9.52).Compared with the LASSO model,the DAGs model showed higher ability(3.0%)in com-prehensive discrimination(P=0.007),as well as good differentiation performance(D=0.133,P=0.894)and cal-ibration performance(x2=5.499,P=0.703)in external validation.Conclusion The DAGs model constructed in this study has good predictive performance.With the help of this tool,targeted early preventive measures in clinical practice can be taken to reduce the occurrence of PEEBI.
8.Research progress of cement-augmented pedicle screw instrumentation technique
Yong-Cun WEI ; Yan-Chun XIE ; An-Wu XUAN ; Hong-Wen GU ; Bin ZHENG ; Yi LIAN ; Ze-Ning WANG ; Hai-Long YU
Journal of Regional Anatomy and Operative Surgery 2024;33(5):455-459
Osteoporosis is an important cause of internal fixation loosening after spinal surgery.Cement-augmented pedicle screw instru-mentation(CAPSI)technique is the most widely used technique in clinical practice to improve the stability of pedicle screw,mainly applied in osteoporosis and revision surgery,which included conventional solid pedicles crews and fenestrated/cannulated pedicle screws technique.CAPSI technique may cause cement leakage and pulmonary embolism,and there is no consensus on its indications or technical points.Therefore,this article reviews the research progress of CAPSI,in order to provide relevant reference for clinical practice.
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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