1.Expressions of UHRF1, P53 and their clinical significances in colon carcinoma
Xiaoqing AI ; Xihua JIA ; Xiaobo WANG ; Shujun ZHENG ; Xia ZHAO ; Bingxin ZHANG
Journal of International Oncology 2016;43(5):346-349
Objective To investigate the expression levels and clinical significances of ubiquitin-like with PHD and ring finger domains 1 (UHRF1) and P53 in colon carcinoma.Methods The expressions of UHRF1 and P53 in 70 colon cancer tissues and 30 normal colon ones were detected by means of immunohistochemistry to analyze the correlation of these two proteins in the occurrence and development of colon carcinoma,and the relationship between their expressions and clinico-pathological factors as well as prognosis was discussed.Results The expression levels of UHRF1 and P53 in cancer tissues were significantly higher than those of cancer-adjacent tissues (87.1% vs.56.7%,x2 =11.366,P =0.001;64.3% vs.6.7%,x2 =27.988,P =0.000) and showed a positive correlation between the two proteins (r =0.248,P =0.038).Both UHRF1 and P53 were associated with TNM stages (x2 =4.426,P =0.049;x2 =6.000,P =0.016) and the depth of invasion (x2 =12.553,P =0.002;x2 =4.904,P =0.036).However,they were irrelevant with the age (x2 =0.473,P=0.494;x2 =0.090,P=0.799) and gender (x2 =2.297,P=0.166;x2 =0.512,P=0.617) of patients,as well as the size (x2 =0.638,P =0.481;x2 =2.392,P =0.215) and histological grading of tumors (x2 =2.088,P =0.352;0.303,P =0.859).Kaplan-Meier analysis showed that the median survival time of patients with UHRF1,P53 positive expression was 21.83 months that was lower than patients with UHRF1 positive expression of 24.49 months (Z =-0.624,P =0.533).Both former of which was distinctly lower than that of negative ones of 37.33 months (Z =-2.856,P =0.004;Z =-2.694,P =0.007).Conclusion Both UHRF1 and P53 are highly expressed in colon cancer tissues,which imply that UHRF1 and P53 may be strongly related with colon cancer development and can be a predictor for colon cancer prognosis.
2.Variation of icariin and total flavonoid of Epimedium acuminatum in different parts and habitats.
Tao ZHOU ; Xiaobo ZHANG ; Lanping GUO ; Ge LIN ; Weike JIANG ; Qiang AI ; Chenggang ZHANG
China Journal of Chinese Materia Medica 2012;37(13):1917-1921
OBJECTIVEThrough comparative study on contents of icariin and total flavonoid of Epimedium acuminatum in different habitats and parts, the distribution and correlation of the two components were observed.
METHODTwenty-four sample spots in four habitats were set up, and the whole plant of these samples was divided as following: leaf, root, stem and rhizome. Total flavonoid and icariin of samples were determined by using the UV method and the HPLC, respectively. The data was analyzed by SPSS 17.0.
RESULTThe distribution of icariin in different parts had the pattern: leaf > root > stem > rhizome, the total flavonoid content was higher in leaf, but it showed no difference in other parts. Habitat had certain effect on icariin accumulation in E. acuminatum. The significant differences of total flavonoid content in E. acuminatum from different parts were not observed.
CONCLUSIONThe distribution of icariin from different parts and habitats has high selectivity. Metabolism and accumulation of flavonoid content in each part have no difference. Flavonoid content is less affected by environment. Considering the distribution of icariin and flavonoid content in every part and the growth strategy in different habitats comprehensively, it is reasonable to harvest the aerial part for the sustainable utilization of E. acuminatum.
Drugs, Chinese Herbal ; chemistry ; metabolism ; Ecosystem ; Epimedium ; chemistry ; metabolism ; Flavonoids ; analysis ; metabolism ; Plant Structures ; chemistry ; metabolism
3.Dual-energy computed tomography assessment of monosodium urate load predicts gout flare risk—a prospective observational cohort study
Rui ZHOU ; Xiaobo AI ; Rongrong SUN ; Zhen LIU ; Xiaoou JIN ; Feng ZHANG ; Maichao LI ; Xiaomei XUE ; Changgui LI ; Lin HAN
Chinese Journal of Endocrinology and Metabolism 2024;40(7):573-579
Objective:To investigate whether dual-energy computed tomography(DECT) measurement of monosodium urate(MSU) crystal loading can predict the risk of gout flares.Methods:A single-center, prospective, observational study included 229 gout patients initially diagnosed at the Gout Clinic of Qingdao University from August 2021 to February 2022. The patients underwent MSU assessment of the bilateral feet using DECT. Following enrolment, all patients commenced uric acid-lowering therapy(ULT) and were followed up at 3 and 6 months. Patients who experienced at least one flare within 6 months were compared with those who did not, and the odds ratio( OR) for the risk of gout flares was calculated. Results:Patients who experienced gout flare had a significantly longer disease duration[(6.69±5.42) vs(4.14±4.86) years, P<0.01], a higher number of flares in the past year(4.80±1.73 vs 2.02±1. 23, P<0.01), a higher proportion of fatty livers(11.0% vs 1.4%, P<0.05), and a greater volume of MSU crystals in the feet[(3.52±9.74) vs(0.29±0.98)cm 3,P<0.05] compared to patients without gout flare. The results of the multifactorial logistic regression analysis indicated that the number of flares in the past year( OR=1.295, 95% CI 1.032-1.613, P<0.05) and feet MSU crystal volume( OR=3.245, 95% CI 1.164-9.064, P<0.05) were independent risk factors for gout flares. The receiver operating characteristic(ROC) curve indicated the integration of the MSU prediction model into the clinical prediction model resulted in a comprehensive prediction model with an area under curve(AUC) value of 0.780(95% CI 0.710-0.840), sensitivity of 0.83, and specificity of 0.62. Internal validation of the comprehensive prediction model using the Bootstrap method yielded a C-index of 0.770(95% CI 0.701-0.833) for predicting flares. The calibration curve of the model demonstrated a good fit between the predicted probability of flares and the actual probability, indicating high calibration accuracy. Conclusion:The volume of MSU crystals in the feet is an independent risk factor for flares following ULT. A larger volume of MSU crystals in the foot increases the likelihood of a flare. This study provides a basis for early prediction of flare and a reference for early preventive treatment.
4. Analysis of the arthropathies on no-bleeding history joints in pre-school age severe hemophilia A children
Di AI ; Xiaojing LI ; Wanru YAO ; Qing ZHANG ; Min ZHOU ; Ling TANG ; Xiaobo LUO ; Ningning ZHANG ; Sheng YANG ; Yan WANG ; Ping DING ; Siyu CAI ; Zhenping CHEN ; Runhui WU
Chinese Journal of Pediatrics 2018;56(10):741-744
Objective:
To detect the arthropathies on no bleeding history joints in pre-school hemophilia A children in order to provide evidence for further prevention and control of joint disease in children with hemophilia A.
Methods:
This study was a cross-sectional study based on China Hemophilia Individualized prophylaxis study (CHIPS). The basic data of outpatients with hemophilia in Beijing Children's Hospital and Chengdu Women's and Children's Central Hospital between August 2016 and June 2017 were collected and a three-month follow-up was conducted. The target joints (six joints of bilateral elbows, knees and ankles) of thirty-four children aged 1-7 years old with severe hemophilia A were examined by ultrasound, X-ray and joint function examination (4-7 years old, hemophilia joint health score (HJHS)). To find out whether there are arthropathies in patient's joints with no bleeding history and analyze the relevant factors by chi-square test, rank sum test and other statistical methods.
Results:
There were 32 analyzable cases with 112 no-bleeding history target joints, 42.9% (48/112) were elbow joints. Arthropathies were revealed in 34.8% (39/112) of them by joint structural and functional examination and 46.2% (18/39) were ankles (χ2=8.379,
5.Research on the Diagnostic Criteria for Dampness Syndrome Based on Consensus Method
Qian LI ; Wenzhen WU ; Zhixuan AI ; Lilei ZHOU ; Shujun LIU ; Xiaobo YANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(6):1660-1667
Objective To establish diagnostic criteria for dampness syndrome through scientific and normative research methods.Methods The basis for syndrome differentiation of dampness syndrome was comprehensively integrated through literature research and structured tools,and in-depth investigation was carried out on the connotation and extension of dampness syndrome,judgment basis and criteria construction through questionnaire surveys and consensus conference method.Results Thirty-six items for syndrome differentiation of dampness syndrome were obtained through literature research.Through the questionnaire surveys,some experts suggested that the diagnosis mode of dampness syndrome should be in line with the clinical practice requirements.Accordingly,we were deep in thought about the key issue of"how to establish accurate diagnostic criteria".After in-depth investigation,we found that the dampness syndrome had specific and sensitive indicators.And 11 specific and 19 sensitive indicators were determined.Furthermore,according to the experts'suggestions,the specific indicators were classified into three categories based on dampness characteristics.Meanwhile,we investigated the diagnosis attributes of Chinese medicine syndromes and summarized them into four corresponding modes.Based on this,specificity mode and similarity/consistency mode should be adopted for diagnostic criteria for dampness syndrome.In addition,the judgment form in accord with the diagnostic attributes of dampness syndrome was determined.Conclusion This diagnostic criteria can provide a basis for the clinical diagnosis of dampness syndrome.Besides,this study explored the diagnostic attributes of Chinese medicine syndromes,which could provide reference for the development of other Chinese medicine syndrome criteria.
6.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.
7.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.
8.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.
9.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.
10.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; 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 ; 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 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):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.