1.Clinical application of basic anesthesia combined with local anesthesia in preoperative localization of multiple pulmonary nodules: A retrospective cohort study
Siyang JIAO ; Yungang SUN ; Qiang ZHANG ; Feng SHAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):175-179
Objective To evaluate the safety and efficacy of basic anesthesia combined with local anesthesia in the preoperative localization of multiple pulmonary nodules. Methods The clinical data of patients who underwent preoperative localization for multiple pulmonary nodules resection under single-port thoracoscopy in Nanjing Brain Hospital from July 2023 to September 2023 were extracted. They were divided into a group A and a group B according to the localization method. The patients in the group A were localized under local anesthesia, and the patients in the group B were localized with basic anesthesia combined with local anesthesia. The basic clinical characteristics, localization success rate, incidence of localization complications, localization time, and pain score of the two groups were compared and analyzed. Results Finally, we included 200 patients with 100 patients in each group. There were 49 males and 51 females at age of 25-77 (50.94±14.29) years in the group A. There are 45 males and 55 females at age of 24-78 (48.25±14.04) years in the group B. The incidence of localization complications (4% vs. 13%, P=0.04), localization time [(19.90±8.66) min vs. (15.23±5.98) min, P<0.01], and pain score[ (2.01±2.09) vs. (3.29±2.54), P<0.01] in the group B were significantly lower than those in the group A, and the differences were statistically significant. The localization success rate of the group B was significantly higher than that of the group A (98% vs. 92%, P=0.04), and the difference was statistically significant.Conclusion Mobile CT combined with basic anesthesia for preoperative localization of multiple pulmonary nodules is highly safe, has a high success rate, and provides high patient comfort, making it a valuable approach for clinical promotion.
2.Risk factors and nomogram prediction model for complications of CT-guided Hookwire localization of pulmonary nodules
Siyang JIAO ; Yungang SUN ; Qiang ZHANG ; Feng SHAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(07):1000-1005
Objective To analyze the independent risk factors affecting complications of preoperative CT-guided Hookwire localization of pulmonary nodules, and establish and validate a nomogram risk prediction model. Methods Clinical data of patients who underwent thoracoscopic lung surgery with preoperative CT-guided Hookwire localization at the Department of Thoracic Surgery, Affiliated Nanjing Brain Hospital, Nanjing Medical University from January 2023 to October 2023 were collected. Patients were divided into a complication group and a non-complication group according to whether they had complications. The clinical data of the two groups were compared by univariate analysis and multivariate binary logistic regression analysis to determine the independent risk factors causing complications during localization, and a nomogram prediction model was established. The discrimination of the model was evaluated by receiver operating characteristic (ROC) curve, and the consistency between predicted events and actual results was evaluated by calibration curve. Results A total of 300 patients were included, including 143 males and 157 females, aged 24-68 (46.00±22.81) years. Univariate analysis showed that there were statistically significant differences in age, number and location of nodules, preoperative anxiety score, history of chronic obstructive pulmonary disease (COPD), number of needle adjustments, pain score, and distance between the tip of the localization needle and the visceral pleura between the two groups (P<0.05). Multivariate binary logistic regression analysis suggested that pain score [OR=1.253, 95%CI (1.094, 1.434), P=0.001], age [OR=1.020, 95%CI (1.000, 1.042), P=0.049], history of COPD [OR=3.281, 95%CI (1.751, 6.146), P<0.001], number of nodules [OR=1.667, 95%CI (1.221, 2.274), P=0.001], preoperative anxiety score [OR=1.061, 95%CI (1.031, 1.092), P<0.001], number of needle adjustments [OR=1.832, 95%CI (1.263, 2.658), P=0.001], and distance between the needle tip and the visceral pleura [OR=1.759, 95%CI (1.373, 2.254), P<0.001] were associated with localization complications. The area under the ROC curve for the modeling group was 0.825, and that for the validation group was 0.845. Hosmer-Lemeshow test showed that there was no statistically significant difference between the ideal curve of the model fitting curve and that of the modeling group and internal validation group, indicating good goodness of fit (χ2=6.488, P=0.593). Conclusion Advanced age, multiple nodules, preoperative anxiety, history of COPD, multiple needle adjustments, severe pain during localization, and long distance between the tip of the localization needle and the visceral pleura are independent risk factors for complications of lung nodule localization, and the prediction model based on these factors has good predictive performance.
3.Development and validation of a prediction score for subtype diagnosis of primary aldosteronism.
Ping LIU ; Wei ZHANG ; Jiao WANG ; Hongfei JI ; Haibin WANG ; Lin ZHAO ; Jinbo HU ; Hang SHEN ; Yi LI ; Chunhua SONG ; Feng GUO ; Xiaojun MA ; Qingzhu WANG ; Zhankui JIA ; Xuepei ZHANG ; Mingwei SHAO ; Yi SONG ; Xunjie FAN ; Yuanyuan LUO ; Fangyi WEI ; Xiaotong WANG ; Yanyan ZHAO ; Guijun QIN
Chinese Medical Journal 2025;138(23):3206-3208
4.Efficacy of steam thermal ablation on the treatment of benign prostatic hyperplasia.
Ning SHAO ; Qi-Feng CAO ; Jian-Wei CAO ; Jian KANG ; Qiang BAI ; Xin-Gang CUI
National Journal of Andrology 2025;31(4):338-340
OBJECTIVE:
To explore the clinical application of transurethral steam thermal ablation of the prostate as an ultra-minimally invasive treatment of benign prostatic hyperplasia (BPH).
METHODS:
We treated 18 BPH patients by transurethral steam thermal ablation of the prostate in our hospital, and followed them up for 6-12 months after operation. We obtained the IPSS, maximum urinary flow rate (Qmax), IIEF-5 scores, Male Sexual Health Questionnaire-Ejaculatory Dysfunction-Short Form (MSHQ-EjD-SF) scores and quality of life (QOL) scores from the patients and compared them before and after surgery.
RESULTS:
Operations were successfully completed in all the cases, with no intraoperative complications, and all the patients were discharged on the second day after surgery. At the 6-month follow-up after surgery, the Qmax increased from (10.08 ± 2.06) ml/s before surgery to (7.51 ± 3.21) ml/s, the IPSS decreased from 23.72 ± 1.87 to 8.06 ± 1.39, and the QOL score decreased from 5.11 ± 0.58 before surgery to 1.28 ± 0.46. The differences in these indicators were statistically significant (P<0.05). And these is no significant difference in the MSHQ-EjD-SF and IIEF-5 score(P>0.05).
CONCLUSION
Transurethral steam thermal ablation of the prostate is a safe, effective and almost non-invasive surgical strategy for the treatment of BPH, with a good prospect of clinical application.
Humans
;
Male
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Prostatic Hyperplasia/surgery*
;
Aged
;
Middle Aged
;
Treatment Outcome
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Steam
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Transurethral Resection of Prostate/methods*
;
Quality of Life
5.Indocyanine green fluorescence identification of the intersegmental plane by preferentially ligating the target pulmonary vein during thoracoscopic segmentectomy
Yungang SUN ; Qiang ZHANG ; Yu ZHUANG ; Zhao WANG ; Siyang JIAO ; Mengxu YAO ; Feng SHAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(10):1428-1433
Objective To explore the feasibility and accuracy of using indocyanine green fluorescence (ICGF) to identify the intersegmental plane after ligation of the target pulmonary vein during thoracoscopic segmentectomy. Methods From December 2022 to June 2023, the patients with pulmonary nodules undergoing video-assisted thoracoscopic anatomical segmentectomy with intersegmental plane displayed using ICGF after ligation of the target pulmonary vein by the same medical team in our hospital were collected. Preoperative three-dimensional reconstruction was used to identify the target segment where the pulmonary nodule was located and the anatomical structure of the arteries, veins, and bronchi in the target segment. The intersegmental plane was first determined by the inflation-deflation method after the target pulmonary vein was ligated during the operation. During the waiting period, the target artery and bronchus could be separated but not cut off. The inflation-deflation boundary was marked by electrocoagulation, and then ICGF was injected via peripheral vein to identify the intersegmental plane again, and the consistency of the two intersegmental planes was finally evaluated. Results Finally 32 patients were collected, including 14 males and 18 females, with an average age of 58.69±11.84 years, ranging from 25 to 76 years. The intersegmental plane determined by inflation-deflation method was basically consistent with ICGF method in all patients. All the 32 patients successfully completed uniportal thoracoscopic segmentectomy without ICGF-related complications or perioperative death. The average operation time was 98.59±20.72 min, the average intraoperative blood loss was 45.31±35.65 mL, and the average postoperative chest tube duration was 3.50±1.16 days. The average postoperative hospital stay was 4.66±1.29 days, and the average tumor margin width was 26.96±5.86 mm. Conclusion The ICGF can safely and accurately identify the intersegmental plane by target pulmonary venous preferential ligation in thoracoscopic segmentectomy, which is a useful exploration and important supplement to the simplified thoracoscopic anatomical segmentectomy.
6.Pollution status and distribution characteristics of indoor air bacteria in subway stations and compartments in a city of Central South China
Shuyan CHENG ; Zhuojia GUI ; Liqin SU ; Guozhong TIAN ; Tanxi GE ; Jiao LUO ; Ranqi SHAO ; Feng LI ; Weihao XI ; Chunliang ZHOU ; Wei PENG ; Minlan PENG ; Min YANG ; Bike ZHANG ; Xianliang WANG ; Xiaoyuan YAO
Journal of Environmental and Occupational Medicine 2024;41(7):801-806
Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO2), fine particulate matter (PM2.5), and inhalable particulate matter (PM10) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min−1, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO2 concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM2.5, and PM10 in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO2, but 0% for humidity. The overall median (P25, P75) total bacteria count was 177 (138,262) CFU·m−3. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.
7.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.
8.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.
9.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
10.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo 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 ; 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 ; Hongyan ZHENG ; 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 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(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.

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