1.Clinical analysis of minimally invasive surgery under thoracoscopy and laparoscopy in the treatment of esophageal cancer
Changyun MA ; Fang WU ; Yinfeng SONG ; Yunjian QU
Clinical Medicine of China 2017;33(3):213-216
Objective To analyze the feasibility and clinical effect of thoracoscopy and laparoscopy minimally invasive surgery in the treatment of esophageal cancer.Methods Eighty-six cases patients with esophageal cancer who were underwent the minimally invasive surgery under thoracoscopy and laparoscopy for esophageal cancer in the Central Hospital of Hengyang from August 2014 to February 2016 were retrospectively analyzed.Operation time,bleeding volume,indwelling time of thoracic drainage tube,length of stay,number of lymph node dissection,postoperative complications and so on were recorded.Results All patients were successfully completed surgery,no intraoperative death and intraoperative massive hemorrhage.Operation time was 270-380 min,the amount of bleeding during the operation was 50-550 ml.Chest drainage tube was removed from 3 to 10 d after operation.The number of lymph node dissected was 10-19.Lymph node metastasis was found in 13 cases.Postoperative cervical anastomotic fistula in 6(7.0%) cases,hoarseness in 8(9.3%) cases,7(8.1%) cases of pulmonary infection,and 1(1.2%) case of chylothorax,all were cured after conservative treatment.Postoperative hospital stay was 9-20 d.The patients were followed up for 3 to 21 months,1 case had lymph node metastasis in 10 months after surgery,and the other patients had no recurrence,metastasis or death.Conclusion Minimally invasive surgery under thoracoscopy and laparoscopy for esophageal cancer is safe and feasible,clinical effect is satisfied,it is worthy of further clinical application.
2.Preventive effect of gastrodin on cognitive decline after cardiac surgery with cardiopulmonary bypass: A double-blind, randomized controlled study.
Zhao, ZHANG ; Pu, MA ; Younian, XU ; Meijun, ZHAN ; Yunjian, ZHANG ; Shanglong, YAO ; Shihai, ZHANG
Journal of Huazhong University of Science and Technology (Medical Sciences) 2011;31(1):120-7
Cognitive decline is a common complication after cardiac surgery with cardiopulmonary bypass (CPB), but as such no pharmacological therapy has been shown to be efficacious in preventing the decline. However, gastrodin has been shown to have multi-pharmacological effects on neurological functions. We undertook this study to test the hypothesis that gastrodin would potentially prevent CPB-associated neurocognitive decline. We randomly assigned 200 patients undergoing mitral valve replacement surgery to receive either gastrodin (40 mg/kg) or saline after the induction of anesthesia and subsequently evaluated cognitive function before surgery, at discharge, and at 3rd month after surgery by using a battery of five neurocognitive tests, or adverse effects of gastrodin postoperatively. Neurocognitive decline in postoperative function was defined as a drop of 1 SD or more in the scores on tests of any one of the four domains of cognitive function. Cognitive decline occurred in 9% of the patients in the gastrodin group in contrast to 42% in the control group (P<0.01) at discharge. Cognitive outcome could be determined at 3rd month in 87 patients in the gastrodin group and 89 in the control group. Cognitive decline was detected in 6% in the gastrodin group and 31% in the control group (P<0.01). The incidences of possible adverse effects were similar between two groups. These results indicate that gastrodin is an effective and a safe drug for the prevention of neurocognitive decline in patients undergoing mitral valve replacement surgery with CPB.
3.Preventive Effect of Gastrodin on Cognitive Decline after Cardiac Surgery with Cardiopulmonary Bypass: A Double-Blind, Randomized Controlled Study
ZHANG ZHAO ; MA PU ; XU YOUNIAN ; ZHAN MEIJUN ; Zhang YUNJIAN ; YAO SHANGLONG ; ZHANG SHIHAI
Journal of Huazhong University of Science and Technology (Medical Sciences) 2011;31(1):120-127
Cognitive decline is a common complication after cardiac surgery with cardiopulmonary bypass (CPB),but as such no pharmacological therapy has been shown to be efficacious in preventing the decline.However,gastrodin has been shown to have multi-pharmacological effects on neurological functions.We undertook this study to test the hypothesis that gastrodin would potentially prevent CPB-associated neurocognitive decline.We randomly assigned 200 patients undergoing mitral valve replacement surgery to receive either gastrodin (40 mg/kg) or saline after the induction of anesthesia and subsequently evaluated cognitive function before surgery,at discharge,and at 3rd month after surgery by using a battery of five neurocognitive tests,or adverse effects of gastrodin postoperatively.Neurocognitive decline in postoperative function was defined as a drop of 1 SD or more in the scores on tests of any one of the four domains of cognitive function.Cognitive decline occurred in 9% of the patients in the gastrodin group in contrast to 42% in the control group (P<0.01) at discharge.Cognitive outcome could be determined at 3rd month in 87 patients in the gastrodin group and 89 in the control group.Cognitive decline was detected in 6% in the gastrodin group and 31% in the control group (P<0.01).The incidences of possible adverse effects were similar between two groups.These results indicate that gastrodin is an effective and a safe drug for the prevention of neurocognitive decline in patients undergoing mitral valve replacement surgery with CPB.
4.Comparison of results of nucleic acid detection between anal swabs and nasal swabs in confirmed cases of COVID-19
Kanru CAI ; Jieyun ZHANG ; Yabo PENG ; Qianting YANG ; Xiuyun ZHU ; Xunuo LIU ; Yunjian MA ; Mingxia ZHANG
Chinese Journal of Experimental and Clinical Virology 2021;35(6):655-657
Objective:To compare the result of nucleic acid detection between anal swabs and nasal swabs in confirmed cases of COVID-19.Methods:The result of nucleic acid detection between anal swabs and nasal swabs collected simultaneously at various time points after illness onset were analyzed retrospectively.Results:Totally, 46 matched result of anal swabs and nasal swabs in confirmed cases of COVID-19 collected at various intervals after illness onset in 31 patients were analyzed. All the result of nucleic acid detection were positive for anal swabs. The highest concordance rate of nucleic acid positive of COVID-19 (80%) between anal swabs and nasal swabs was observed 0-3 days after illness onset; while the value declined to 28.57% ≥16 days after illness onset. The longer the interval between sampling and illness onset, the lower the concordance rate.Conclusions:Besides two negative result from respiratory tract specimens, the negative result of anal swabs should be added as an important reference of releasing from quarantine.
5.Consensus for the management of severe acute respiratory syndrome.
Nanshang ZHONG ; Yanqing DING ; Yuanli MAO ; Qian WANG ; Guangfa WANG ; Dewen WANG ; Yulong CONG ; Qun LI ; Youning LIU ; Li RUAN ; Baoyuan CHEN ; Xiangke DU ; Yonghong YANG ; Zheng ZHANG ; Xuezhe ZHANG ; Jiangtao LIN ; Jie ZHENG ; Qingyu ZHU ; Daxin NI ; Xiuming XI ; Guang ZENG ; Daqing MA ; Chen WANG ; Wei WANG ; Beining WANG ; Jianwei WANG ; Dawei LIU ; Xingwang LI ; Xiaoqing LIU ; Jie CHEN ; Rongchang CHEN ; Fuyuan MIN ; Peiying YANG ; Yuanchun ZHANG ; Huiming LUO ; Zhenwei LANG ; Yonghua HU ; Anping NI ; Wuchun CAO ; Jie LEI ; Shuchen WANG ; Yuguang WANG ; Xioalin TONG ; Weisheng LIU ; Min ZHU ; Yunling ZHANG ; Zhongde ZHANG ; Xiaomei ZHANG ; Xuihui LI ; Wei CHEN ; Xuihua XHEN ; Lin LIN ; Yunjian LUO ; Jiaxi ZHONG ; Weilang WENG ; Shengquan PENG ; Zhiheng PAN ; Yongyan WANG ; Rongbing WANG ; Junling ZUO ; Baoyan LIU ; Ning ZHANG ; Junping ZHANG ; Binghou ZHANG ; Zengying ZHANG ; Weidong WANG ; Lixin CHEN ; Pingan ZHOU ; Yi LUO ; Liangduo JIANG ; Enxiang CHAO ; Liping GUO ; Xuechun TAN ; Junhui PAN ; null ; null
Chinese Medical Journal 2003;116(11):1603-1635
6.Antimicrobial resistance profile of clinical isolates in hospitals across China: report from the CHINET Surveillance Program, 2017
Fupin HU ; Yan GUO ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Jilu SHEN ; 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 ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Dawen GUO ; Jinying ZHAO ; Wenen LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Kaizhen WEN ; Yirong ZHANG ; Xuesong XU ; Chao YAN ; Hua YU ; Xiangning HUANG ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Hongyan ZHENG ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2018;18(3):241-251
Objective To investigate the antimicrobial resistance profile of the clinical isolates collected from selected hospitals across China. Methods Twenty-nine general hospitals and five children's hospitals were involved in this program. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems. Results were interpreted according to CLSI 2017 breakpoints. Results A total of 190 610 clinical isolates were collected from January to December 2017, of which gram negative organisms accounted for 70.8% (134 951/190 610) and gram positive cocci 29.2% (55 649/190 610). The prevalence of methicillin-resistant strains was 35.3% in S. aureus (MRSA) and 80.3% in coagulase negative Staphylococcus (MRCNS) on average. MR strains showed much higher resistance rates to most of the other antimicrobial agents than MS strains. However, 91.6% of MRSA strains were still susceptible to trimethoprim-sulfamethoxazole, while 86.2% of MRCNS strains were susceptible to rifampin. No staphylococcal strains were found resistant to vancomycin. E. faecalis strains showed much lower resistance rates to most of the drugs tested (except chloramphenicol) than E. faecium. Vancomycin-resistant Enterococcus (VRE) was identified in both E. faecalis and E. faecium. The identified VRE strains were mainly vanA, vanB or vanM type based on phenotype or genotype. The proportion of PSSP or PRSP strains in the non-meningitis S.pneumoniae strains isolated from children decreased but the proportion of PISP strains increased when compared to the data of 2016. Enterobacteriaceae strains were still highly susceptible to carbapenems. Overall, less than 10% of these strains (excluding Klebsiella spp.) were resistant to carbapenems. The prevalence of imipenem-resistant K. pneumoniae increased from 3.0% in 2005 to 20.9% in 2017, and meropenem-resistant K. pneumoniae increased from 2.9% in 2005 to 24.0% in 2017, more than 8-fold increase. About 66.7% and 69.3% of Acinetobacter (A. baumannii accounts for 91.5%) strains were resistant to imipenem and meropenem, respectively. Compared with the data of year 2016, P. aeruginosa strains showed decreasing resistance rate to carbapenems. Conclusions Bacterial resistance is still on the rise. It is necessary to strengthen hospital infection control and stewardship of antimicrobial agents. The communication between laboratorians and clinicians should be further improved in addition to surveillance of bacterial resistance.
7.Value of indocyanine green clearance test combined with total bilirubin actual resident rate in evaluating the short-term prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure after artificial liver support system therapy
Honglian DU ; Ye LI ; Bo WANG ; Linkun MA ; Tiantian HU ; Yunjian SHENG ; Wen CHEN ; Gang WU ; Cunliang DENG
Journal of Clinical Hepatology 2023;39(2):307-315
Objective To establish a new model of indocyanine green (ICG) clearance test combined with total bilirubin actual resident rate (TBARR) for predicting the short-term prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) treated with artificial liver support system (ALSS) therapy. Methods A retrospective analysis was performed for the clinical data of 136 patients with HBV-ACLF who underwent ALSS therapy in Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, from June 2017 to July 2021, and according to the prognosis at 3-month follow-up, they were divided into survival group with 92 patients and death group with 44 patients. Related indicators were measured at the time of the confirmed diagnosis of ACLF, including biochemical parameters, coagulation, indocyanine green retention rate at 15 minutes (ICGR 15 ), and effective hepatic blood flow (EHBF), and related indices were calculated, including Model for End-Stage Liver Disease (MELD) score, MELD difference (ΔMELD), Child-Turcotte-Pugh (CTP) score, total bilirubin clearance rate (TBCR), total bilirubin rebound rate (TBRR), and TBARR. The Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups; the chi-square test was used for comparison of categorical data between groups. A binary logistic regression analysis was used to establish a combined predictive model for the prognosis of HBV-ACLF after ALSS therapy. The area under the ROC curve (AUC) was used to compare the accuracy of various models in judging the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the Z test was used for comparison of AUC. Results There were significant differences between the death group and the survival group in MELD score, ΔMELD, CTP score, ICGR 15 , EHBF, TBRR, TBARR, neutrophil count, percentage of neutrophils, lymphocyte count, platelet count, alkaline phosphatase, gamma-glutamyl transpeptidase, total bilirubin, albumin, prothrombin time, international normalized ratio, prothrombin time activity, prealbumin, fibrinogen, serum sodium, age, and the incidence rate of hepatic encephalopathy (all P < 0.05). The multivariate logistic regression analysis showed that age (odds ratio [ OR ]=1.096, 95% confidence interval [ CI ]: 1.056-1.137, P < 0.001), neutrophil count ( OR =1.214, 95% CI : 1.044-1.411, P =0.012), TBRR ( OR =0.989, 95% CI : 0.982-0.996, P =0.001), TBARR ( OR =1.073, 95% CI : 1.049-1.098, P < 0.001), ΔMELD ( OR =1.480, 95% CI : 1.288-1.701, P < 0.001), CTP score ( OR =2.081, 95% CI : 1.585-2.732, P < 0.001), and ICGR 15 ( OR =1.116, 95% CI : 1.067-1.168, P < 0.001) were independent influencing factors for short-term mortality in patients with HBV-ACLF after ALSS therapy. The binary logistic regression analysis was used to establish four combined predictive models for predicting the prognosis of HBV-ACLF after ALSS therapy, i.e., TBRR-ICGR 15 , TBARR-ICGR 15 , TBARR-ICGR 15 -ΔMELD, and TBARR-ICGR 15 -ΔMELD-age, with an AUC of 0.830, 0.867, 0.900, and 0.917, respectively, and the combined predictive models had a larger AUC than each index alone (age, neutrophil count, TBRR, TBARR, ΔMELD, MELD score, CTP score, and ICGR 15 ), among which the TBARR-ICGR 15 -ΔMELD-age model had the largest AUC. The combined models TBARR-ICGR 15 -ΔMELD and TBARR-ICGR 15 -ΔMELD-age had sensitivities and specificities of > 80%. Conclusion The combined predictive model established by ICGR 15 and TBARR has a good value for in predicting the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the combined predictive model has a better accuracy than the single model in judging prognosis.
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.