1.Estimation of the excess cases of hand-foot-mouth disease in Beijing with adjusted Serfling regression model
Shuaibing DONG ; Ruitong WANG ; Da HUO ; Baiwei LIU ; Hao ZHAO ; Zhiyong GAO ; Xiaoli WANG ; Peng YANG ; Quanyi WANG ; Daitao ZHANG
Shanghai Journal of Preventive Medicine 2025;37(3):206-209
ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control. MethodsThe weekly number of HFMD cases in Beijing from 2011 to 2019 was utilized for adjusted the Serfling regression model. Then the adjusted model was used to fit the baseline and epidemic threshold of HFMD in Beijing from 2011 to 2019, calculating the excess cases and determining the excess epidemic period. ResultsA total of 279 306 cases of HFMD were reported in Beijing from 2011 to 2019, with the climax of the disease occurring in summer and autumn. After adjusting the fitting R2 of the Serfling regression model to 0.773, a total of 10 excess epidemic periods totaling 92 weeks were estimated, mainly occurring in summer. The highest number of excess cases during an excess epidemic period was found in 2014 (1 272 cases, 95%CI: 990‒1 554), accounting for 65.04% of the actual cases (95%CI: 50.62%‒79.46%). ConclusionThe adjusted Serfling regression model fits well and can be utilized for early warning of HFMD and estimating the disease burden caused by HFMD.
2.Cardiovascular health status in Chinese school aged children
WANG Xijie, ZOU Zhiyong, DONG Yanhui, DONG Bin, MA Jun, LIANG Wannian
Chinese Journal of School Health 2024;45(1):30-35
Objective:
The American Heart Association released the Life s Essential 8 (LE 8) for the overall evaluation of cardiovascular health (CVH) on individual level. The present study aimed to describe the overall CVH in Chinese school aged children using LE 8 metrics.
Methods:
Data of the present analysis came from a national representative multicentered cross sectional study conducted in 7 provinces of China in 2013. The original study used a multistage cluster sampling method. A total of 10 326 children aged 5 to 19 years with complete data of health behaviors and health outcomes were included in the study. Children s health behavior indicators included diet, physical activity, nicotine exposure and sleep health. Health outcome factors included body mass index, fast blood glucose, lipid profile and blood pressure.
Results:
The median CVH score was 73.3 ( IQR =14.4) in boys and 73.4 ( IQR = 13.5) in girls. Compared to children aged ≤9 years, the health behavior scores were lowest in the 13-15 age group, with boys scoring 7.73 lower (95% CI =-8.35--7.12, P <0.01) and girls scoring 9.15 (95% CI =-9.83--8.48, P <0.01) lower. The ≥16 age group had the lowest health outcome scores, with boys scoring 7.85 (95% CI =-9.07--6.63, P <0.01) lower and girls scoring 6.11 (95% CI =-7.12--5.09, P <0.01) lower.
Conclusions
Chinese school aged children are generally at a moderate level of cardiovascular health. Specific LE 8 components vary substantially between groups and therefore require targeted intervention strategies.
3.Research Progress in Blood Pressure Management after Aortic Dissection
Zhiyong LI ; Jing WANG ; Yali ZHOU ; Dong YUAN
Medical Journal of Peking Union Medical College Hospital 2024;15(4):904-910
Hypertension (HT) can induce aortic dissection (AD) by increasing the tension of the aortic wall and promoting tissue degradation, and continuous HT may increase the risk of aortic-related death. It is a significant factor in poor prognosis for AD and the most important controllable factor. Research has shown that blood pressure management after AD can reduce the incidence rate and mortality of AD, so controlling HT is an important goal and means of AD treatment. This article reviews the research progress on the impact of AD on blood pressure, the significance and methods of blood pressure management after AD, with the hope of providing reference for the treatment of AD patients and benefiting them.
4.Expert consensus on clinical application of 177Lu-prostate specific membrane antigen radio-ligand therapy in prostate cancer
Guobing LIU ; Weihai ZHUO ; Yushen GU ; Zhi YANG ; Yue CHEN ; Wei FAN ; Jianming GUO ; Jian TAN ; Xiaohua ZHU ; Li HUO ; Xiaoli LAN ; Biao LI ; Weibing MIAO ; Shaoli SONG ; Hao XU ; Rong TIAN ; Quanyong LUO ; Feng WANG ; Xuemei WANG ; Aimin YANG ; Dong DAI ; Zhiyong DENG ; Jinhua ZHAO ; Xiaoliang CHEN ; Yan FAN ; Zairong GAO ; Xingmin HAN ; Ningyi JIANG ; Anren KUANG ; Yansong LIN ; Fugeng LIU ; Cen LOU ; Xinhui SU ; Lijun TANG ; Hui WANG ; Xinlu WANG ; Fuzhou YANG ; Hui YANG ; Xinming ZHAO ; Bo YANG ; Xiaodong HUANG ; Jiliang CHEN ; Sijin LI ; Jing WANG ; Yaming LI ; Hongcheng SHI
Chinese Journal of Clinical Medicine 2024;31(5):844-850,封3
177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.
5.Outcome of bariatric surgery in patients with unexpected liver cirrhosis:A multicenter study from China
Sun XIA ; Yao LIBIN ; Kang XING ; Yu WEIHUA ; Kitaghenda Kakule FIDELE ; Mohammad Sajjad Ibn Rashid ; Taguemkam Nogue ANGELINE ; Hong JIAN ; Dong ZHIYONG ; Sun XITAI ; Zhu XIAOCHENG
Liver Research 2024;8(3):172-178
Background and aims:Liver cirrhosis is a complex disease that may result in increased morbidity and mortality following bariatric surgery(BS).This study aimed to explore the outcome of BS in patients with unexpected cirrhosis,focusing on postoperative complications and the progression of liver disease. Methods:A retrospective study of bariatric patients with cirrhosis from four centers in China between 2016 and 2023 was conducted,with follow-up for one year after BS.The primary outcome was the safety of BS in patients with unexpected cirrhosis,while the secondary outcome was the metabolic efficacy of BS in this group postoperatively. Results:A total of 47 patients met the study criteria,including 46 cases of Child-Pugh class A cirrhosis and 1 case of Child-Pugh B.Pathological examination confirmed nodular cirrhosis in 21 patients(44.68%),pseudolobule formation in 1 patient(2.13%),lipedema degeneration with inflammatory cell infiltration in 3 patients(6.38%),and chronic hepatitis in 1 patient(2.13%).The average percentage of total weight loss was 29.73±6.53%at one year postoperatively.During the 30-day postoperative period,the complication rate was 6.38%,which included portal vein thrombosis,gastrointestinal bleeding,and intra-abdominal infection.Moreover,no cases of liver decompensation or mortality were reported during the follow-up period.The remission rates of comorbidities among 41 patients one year after surgery were as fol-lows:dyslipidemia 100%,type 2 diabetes 82.61%,hypertension 84.62%,and obstructive sleep apnea syndrome 85.71%. Conclusions:BS can be safely performed in patients with unexpected cirrhosis in the compensated stage of liver disease,with low postoperative morbidity and no mortality observed during one-year follow-up.
6.Clinical efficacy of single-port and mini-three-port laparoscopic sleeve gastrectomy for obesity
Fuqing ZHOU ; Xin TANG ; Yang LIU ; Wenhui CHEN ; Bian WU ; Cunchuan WANG ; Zhiyong DONG
Chinese Journal of Digestive Surgery 2024;23(8):1057-1064
Objective:To investigate the clinical efficacy of single-port and mini-three-port laparoscopic sleeve gastrectomy (MTP-SG) for obesity.Methods:The propensity score matching and retrospective cohort study was conducted. The clinical data of 364 obesity patients in the Chinese Obesity and Metabolic Surgery Database who were admitted to The First Affiliated Hospital of Jinan University from July 2016 to December 2023 were collected. There were 79 males and 285 females, aged (31±9)years. Of 364 patients, 67 cases undergoing single-port laparoscopic sleeve gastrectomy (SP-SG) were divided into the SP group, and 297 cases undergoing MTP-SG were divided into the MTP group. Propensity score matching was done by the 1∶1 nearest neighbor matching method. The clamp value was set as 0.1. Measurement data with normal distribution were expressed as Mean± SD, and t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q1), and the rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of 364 patients, 126 cases were successfully matched, including 63 cases in the SP group and 63 cases in the MTP group. After propensity score matching, the confounding bias of gender, body mass, body mass index (BMI), waist circumference, waist hip ratio were eliminated between the two groups. (2) Intraoperative and post-operative conditions. Both groups of patients successfully completed laparoscopic sleeve gastrectomy. After propensity score matching, the operation time, volume of intraoperative blood loss, number of postoperative painkillers used, number of postoperative antiemetics used, duration of postoperative hospital stay, duration of total hospital stay, surgical cost, and total hospitalization cost of the 63 pati-ents in SP group were 101(90,120)minutes, 10(10,10)mL, 1.0(1.0,2.5)times, 3.0(1.0,5.0)times, 4(3,5)days, 7(5,8)days, 4.1(3.5,4.3) ten thousand yuan, and (6.4±0.8) ten thousand yuan, respectively. The above indicators of the 27 patients in MTP group were 100(90,120)minutes, 10(10,15)mL, 2.0(1.0,4.0)times, 4.0(3.0,5.0)times, 3(3,4)days, 5(5,6)days, 3.2(2.8,4.2) ten thousand yuan, and (5.8±0.8) ten thousand yuan, respectively. There were significant differences in number of postoperative antiemetics used, duration of postoperative hospital stay, duration of total hospital stay and total hospitalization cost between the two groups ( Z=-2.39, -3.93, -3.03, t=4.04, P<0.05), and there was no significant difference in operation time, volume of intraoperative blood loss, number of post-operative painkillers used and surgical cost between the two groups ( Z=-0.49, -1.00, -1.23, -1.47, P>0.05). (3) Follow-up. One hundred and ninety five of the 364 patients conducted postoperative 1 month follow-up, including 25 patients in the SP group and 170 patients in the MTP group, and no patient experienced complications such as gastric leakage, infection, or incisional hernia. Both groups of patients had good surgical incisions. After propensity score matching, the change in BMI (ΔBMI), percentage of total weight loss (%TWL), and percentage of excess weight loss (%EWL) of 24 patients in the SP group were (3.7±1.4)kg/m 2, 11.0%±3.0%, 52.6%±30.0%, respectively. The above indicators of 40 patients in the MTP group were (4.1±1.3)kg/m 2, 11.1%±2.8%, 41.8%±19.1%, respectively. Patients who conducted the postoperative 12 month follow-up were 21 and 131 in the SP group and the MTP group, respectively. After propensity score matching, the ΔBMI, %TWL and %EWL of 15 patients in the SP group were (8.7±4.1)kg/m 2, 26.2%±9.8%, 130.0%±45.1%, respectively. The above indicators of 36 patients in the MTP group were (9.8±4.0)kg/m 2, 27.2%± 8.7%, 107.1%±40.7%, respectively. Conclusion:Both SP-SG and MTP-SG can be used to treat obesity patients and achieve satisfactory short-term results.
7.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.
8.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.
9.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.
10.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.


Result Analysis
Print
Save
E-mail