1.Advances in the application of artificial intelligence to imaging diagnosis of the temporomandibular joint region
CHEN Jiayang ; MA Ruohan ; LI Gang
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(6):620-630
With the rapid development of computer science, the application of artificial intelligence (AI) in the field of medical imaging has become increasingly extensive. The temporomandibular joint (TMJ) is structurally complex, with a high incidence of related disorders and diverse clinical manifestations. This review analyzes the current state of research on AI in TMJ imaging diagnosis. Deep learning models based on U-Net and its derivatives have demonstrated outstanding performance in segmentation of condyle and articular disc. Various object detection and feature extraction algorithms have shown excellent diagnostic efficacy for common conditions, such as osteoarthrosis and disc displacement, with some models even achieving expert-level performance on test datasets. Meanwhile, explainable AI provides intuitive justification for model decisions through techniques such as heatmap visualization. Notably, current studies still face critical challenges, including coverage of disease spectra, integration of multimodal data, and model generalizability. Future studies should focus on developing integrated systems that combine diagnosis, segmentation, generation, and interpretation functions. Through multicenter data validation and algorithmic optimization, these efforts will enhance the clinical applicability and decision transparency of models, ultimately laying the foundation for precise imaging diagnosis and intelligent management of TMJ disorders.
2.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
3.Epidemiological characteristics and trend prediction of hemorrhagic fever with renal syndrome in Weinan City, Shaanxi Province from 2010 to 2023
Dandan LI ; Wei LIU ; Ning MA ; Caimei JING ; Lin CHENG ; Gang LIU ; Zhen DANG ; Pengbo YU ; Lin DANG
Chinese Journal of Endemiology 2025;44(3):209-214
Objective:To investigate the epidemiological characteristics of hemorrhagic fever with renal syndrome (HFRS) in Weinan City, Shaanxi Province, and study the predictive effect of the seasonal autoregressive integrated moving average (SARIMA) model.Methods:Relevant information on HFRS cases reported by the China Disease Prevention and Control Information System from January 2010 to August 2024 in Weinan City, as well as the epidemiological investigation data on clinical diagnosis and confirmed HFRS cases in Weinan City were collected. Epidemiological characteristics of HFRS were analyzed by descriptive epidemiological methods. At the same time, a SARIMA model was constructed based on the monthly incidence of HFRS from 2010 to 2023, the incidence of HFRS from January to August 2024 was used to test the simulation prediction effect, and the optimal model was used to predict the incidence of HFRS from September to December 2024.Results:A total of 4 373 HFRS cases were reported in Weinan City from 2010 to 2023, with an average annual incidence of 6.39/100 000. The incidence rate showed a cyclical fluctuation trend, reaching two peaks in 2012 (10.25/100 000) and 2021 (12.26/100 000), respectively. The incidence of HFRS presented a seasonal bimodal distribution, with the peak predominantly in autumn and winter (from October to January of the following year), accounting for 67.83% (2 966/4 373), and the peak in spring and summer (form May to July) accounting for 17.27% (755/4 373). HFRS cases were reported in all counties (cities and districts) of Weinan City, and the top 3 annual incidence rates were Huazhou District (17.84/100 000), Linwei District (16.10/100 000) and Huayin City (9.15/100 000). The age of onset was mainly concentrated in the age group of 15 - 59 years old, accounting for 68.31% (2 987/4 373). The male to female ratio was 2.96∶1.00 (3 268∶1 105). The main occupation was farmers, accounting for 82.07% (3 589/4 373). SARIMA (1, 0, 1) (2, 1, 1) 12 model was the optimal model for short-term prediction of HFRS incidence rate in Weinan City, and the residual difference was listed as white noise ( Q = 7.45, P = 0.878), the model could be used for disease prediction. The model was used to predict the incidence of HFRS from September to December 2024, and the predicted values of each month were 0.17/100 000, 0.59/100 000, 1.85/100 000 and 1.61/100 000, respectively. Conclusions:The epidemic range of HFRS in Weinan City is wide, and the incidence has obvious seasonality. The population are mainly males, young and middle-aged adults and farmers. The SARIMA (1, 0, 1) (2, 1, 1) 12 model constructed can be used for predicting the short-term incidence trend of HFRS in Weinan City.
4.Intra-articular application of 3-D printed guides for femoral positioning in anterior cruciate ligament reconstruction
Kang JI ; Jun MA ; Jin LI ; Jie'en PAN ; Zhenhai CAI ; Gang CHEN
China Journal of Endoscopy 2025;31(3):74-80
Objective To investigate the application of a 3-D printed femoral locator designed based on the modified quadrant method,combined with patient imaging data,then assist in femoral positioning for anterior cruciate ligament(ACL)reconstruction.Methods From January 2023 to January 2024,60 patients with primary ACL rupture who met the inclusion criteria were randomly assigned to either the 3-D printed guide group(using a 3-D printed femoral positioning guide to assist ACL reconstruction with nylon material)or the traditional surgery group(traditional surgery with direct visualization ACL reconstruction),with 30 patients in each group.Preoperative and postoperative knee CT scans and three-dimensional reconstructions were performed.The modified quadrant method was used to analyze and compare the percentage coordinates(Fx and Fy)of the femoral tunnel center point pre-and postoperatively within the same group and between different groups.Results The guides were made using nylon material.The surgery duration was significantly shorter in the 3D-printed guide group(53.8±6.0)min compared to the traditional surgery group(62.4±7.8)min,the difference was statistically significant(P<0.05).Analysis using the modified quadrant method showed that the postoperative relative coordinate position percentages of the femoral tunnel center in the 3D-printed guide group(28.4±2.0)%and(35.5±2.3)%were not significantly different from the preoperative planned values(28.4±0.0)%and(35.7±0.0)%,the differences were not statistically significant(P>0.05).Similarly,in the traditional surgery group,the postoperative coordinate percentages(28.1±2.9)%and(35.2±3.2)%showed no significant difference compared to the preoperative planned values(28.4±0.0)%and(35.7±0.0)%,the differences were not statistically significant(P>0.05).There was no statistically significant difference in the postoperative femoral tunnel center position percentages between the two groups(P>0.05).The Lysholm score and International Knee Documentation Committee(IKDC)score of the two groups showed an increasing trend after surgery,and the differences between Lysholm score and IKDC score at each time point were statistically significant(P<0.05).However,no statistical differences were found between the two groups at each postoperative time point(P>0.05).Conclusion Both intra-articular 3D-printed guide-assisted and traditional surgery-assisted femoral positioning for ACL reconstruction can achieve anatomical reconstruction,with no significant difference in bone tunnel positioning.However,the use of intra-articular 3D-printed guide technology has a more centralized distribution of the femoral tunnel center point and a shorter surgery duration.This study provides proof of concept for the creation of personalized femoral tunnel locators for patients undergoing ACL reconstruction.
5.Progress on immune mechanism of avian infectious bronchitis
Yang LI ; Aili FAN ; Jilin CHEN ; Lina DONG ; Zonghui ZUO ; Shuhui MA ; Gang XU
Chinese Journal of Veterinary Science 2025;45(3):619-626
Avian infectious bronchitis(IB),a rapidly spreading and acute disease in chickens,is caused by the infectious bronchitis virus(IBV).IB is characterized by its remarkable genetic varia-bility.IBV has a high degree of mutation,and the existing means of immunization often fail to a-chieve good results,seriously affecting the development of the domestic poultry industry.This ar-ticle offers a comprehensive review of the current understanding of the immune response to IBV,focusing on three key areas:non-specific immunity,mucosal immunity,and specific immunity.By dissecting these aspects,the aim is to provide a theoretical reference for the study of the immune mechanism of IBV.
6.Three-dimensional radiographic features of solid variant of odontogenic keratocyst
Huasen MA ; Junru ZHAO ; Yubing LI ; Chang HAN ; Yangjing SONG ; Yan CHEN ; Zhipeng SUN ; Gang LI
Journal of Practical Stomatology 2025;41(2):168-172
Objective:To analyze the three-dimensional radiographic characteristics of solid variant of odontogenic keratocyst(SOKC)using multi-slice spiral tomography(MSCT).Methods:Clinical records,histopathological reports and MSCT images of 8 patients were retrospectively acquired,radiographic features,including lesion site,size,borders,jaw expansion,internal structures and relationship with surrounding tissues were analyzed.Results:8 cases(4 males and 4 females)aged 37-65 years were included.Among them,4 lesions were located in the maxilla and the other 4 in mandible.Clinically,the lesions manifested as an enlargement of the affected area in the jaw bone,with pain present in 6 cases.On MSCT scans,all lesions showed evident jaw expansion.The boundaries of the lesions were clear in 3 cases,and unclear in 5 cases.4 cases exhibited multilocular radiolucent lesions,while the other 4 cases showed mixed radiolucent/opaque lesions resembling fibro-osseous lesion.The maxilla lesions involved the palate,na-sal cavity,maxillary sinus and orbital floor.All mandible SOKCs were recurrent and infectious,with involvement of the surrounding soft tissue.Conclusion:SOKC exhibits imaging characteristics that differentiate from conventional odontogenic keratocysts.Radio-graphically,it presents as a benign or low-grade malignant solid jaw mass.
7.Correlation between blood biochemical changes and oral microbiota changes in tongue rolling behavior in cows
SAIBOLA·KAMALI ; Lei SUN ; Qiang FENG ; Xinhao WANG ; Xuelian MA ; Na LI ; Yawei SUN ; Qi ZHONG ; Gang YAO
Chinese Journal of Veterinary Science 2025;45(4):825-835
This study aims to investigate the changes in blood biochemical indicators of tongue roll-ing(TR)behavior in cattle and their correlation with changes in oral microbiota,laying a founda-tion for further exploring the relationship between animal oral microbiota,biochemical indicators,and behavioral changes.It also provides theoretical basis for preventing and treating TR behavior through regulating oral microbiota.This study intends to analyze and compare the blood biochemi-cal indicators and changes in oral microbiota of cattle with TR behavior and healthy cattle without TR behavior(healthy control,H),in order to explore the blood biochemical indicators of TR cattle and their correlation with changes in oral microbiota.Blood samples from the caudal vein of cattle in each group were collected for the detection of blood biochemical indicators and stress-related hormone indicators.Oral swabs from cattle in each group were collected for 16S rRNA gene se-quencing to analyze the composition,structure,and functional changes of their oral microbiota.The results of blood biochemical indicators in H and TR groups showed that the concentrations of al-bumin(ALB),aspartate aminotransferase(AST),calcium ion(Ca2+),and cortisol in TR group were significantly higher than those in H group(P<0.05).There were significant differences in beta diversity of oral microbiota between TR and H groups(P<0.05).At the genus level,the rela-tive abundances of Pseudomonas,Enterobacter,Xanthomonas,and other genera in the oral micro-biota of TR group were significantly higher than those in H group(P<0.05).However,the rela-tive abundances of Tessaracoccus,Turicibacter,Monoglobus,Dietzia,Bifidobacterium,and other genera in the oral microbiota of TR group were significantly lower than those in H group(P<0.05).In the KEGG metabolic pathway at the third level,the relative abundances of thiamine me-tabolism,lipoate metabolism,cysteine and methionine metabolism in the oral microbiota of TR group were significantly lower than those in H group(P<0.05).Spearman correlation analysis showed that ALB and AST were significantly positively correlated with the relative abundances of Pseudomonas and Stenotrophomonas.Therelative abundances of Pseudomonas,Stenotrophomonas,and Sphingomonas were significantly positively correlated with fatty acid metabolism,phosphate and phosphonate metabolism,and lipoate metabolism.ALB was significantly positively correlated with inositol phosphate metabolism and phosphate and phosphonate metabolism.The study found that there were significant differences in blood biochemical indicators and oral microbiota between TR and H groups.In addition,there is a certain correlation between the composition,structure,and function of oral microbiota and the biochemical function of the host.This indicates that TR behav-ior may be associated with changes in the biochemical indicators of the host and the composition,structure,and function of oral microbiota.
8.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
9.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
10.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.


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