1.Disease distribution and medical resources during the Beijing 2008 Olympic and Paralympic Games.
Xue-Ya LIANG ; Ling LAN ; Wei-Na CHEN ; Ai-Ping ZHANG ; Chao-Ying LÜ ; Yan-Wei LÜ ; Jian-Ping DAI
Chinese Medical Journal 2011;124(7):1031-1036
BACKGROUNDAppropriate planning and staffing for medical services at large-scale athletic events is essential to provide for a safe and successful competition. There are few well-documented accounts describing the demand for such services. The present study provided the data from the Beijing 2008 Olympics and Paralympics, with a view to provide the guidance for planning future events.
METHODSA total of 22 029 and 8046 patients, who received medical care from a physician at an Olympic or Paralympic medical station, were included. The patient proportion among different personnel, various disease proportions at different kinds of venues, and the disease spectrum at specified venues at the Olympics and Paralympics were analyzed.
RESULTSAt both games, the patient proportion varied by accreditation status. The staff accounted for the largest number of visits at the Olympics (44.83%) and Paralympics (36.95%), with respiratory diseases the most common. Various disease spectrums were discovered at the different kinds of venues. Surgical diseases were the most frequently listed reason for visits, both at competition and non-competition venues, especially during the Paralympics. The sport-related injuries accounted for a majority of the surgical cases during both games. At training venues, ear nose and throat diseases accounted for the greatest number of visits during both games.
CONCLUSIONSDuring both games, people contracted different diseases at different venues. Adequate surgeons should be designated to offer assistance mostly in trauma situations. Appropriate numbers of physicians in respiratory diseases and otorhinolaryngology is of great importance.
Anniversaries and Special Events ; China ; Emergency Medical Services ; utilization ; Humans ; Population Surveillance ; Public Health ; statistics & numerical data ; Sports
2.Comparison of the Predictive Values of Eight Staging Systems for Primary Liver Cancer in Prognosis of Combined Hepatocellular-cholangiocellular Carcinoma Patients after Surgery.
Hao LI ; Xi-tao WANG ; Ai-qun ZHANG ; Xiang-fei MENG ; Qiang YU ; Wen-ping LÜ ; Wei-dong DUAN ; Jia-hong DONG
Acta Academiae Medicinae Sinicae 2016;38(2):175-181
OBJECTIVETo compare the predictive values of eight staging systems for primary liver cancer in the prognosis of combined hepatocellular-cholangiocellular carcinoma (cHCC-CC) patients after surgery.
METHODSThe clinical data of 54 cHCC-CC patients who underwent hepatectomy or liver transplantation from May 2005 to Augest 2013 in Chinese PLA General Hospital were collected. We evaluated the prognostic value of the Okuda staging system, Cancer of the Liver Italian Program (CLIP) score, French staging system, Barcelona Clinic Liver Cancer (BCLC) staging system, 7th edition of tumour-node-metastasis (TNM) staging system for hepatocellular carcinoma and intrahepatic cholangiocarcinoma (ICC), Japan Integrated Staging (JIS) score, and Chinese University Prognostic Index. The distribution, Kaplan-Meier method, Log-rank test, and area under a receiver operating characteristic curve were used to compare the prognosis-predicting ability of these different staging systems in 54 cHCC-CC patients after surgery.
RESULTSThe TNM staging system for ICC and JIS score had a better distribution of cases. The 12-and 24-month survivals of the entire cohort were 65.5% and 56.3%, respectively. A Log-rank test showed that there was a significant difference existing in the cumulative survival rates of different stage patients when using TNM staging system for ICC (stage 1 vs. stage 2, P=0.012; stage 2 vs. stage 3-4, P=0.002), Okuda staging system (stage 1 vs. stage 2, P=0.025), and French staging system (stage A and stage B, P=0.045). The 12-and 24-month area under curve of TNM staging system for ICC, BCLC staging system, JIS score, and CLIP score were 0.836 and 0.847, 0.744 and 0.780, 0.723 and 0.764, and 0.710 and 0.786, respectively.
CONCLUSIONThe 7th edition of TNM staging system for ICC has superior prognostic value to other seven staging systems in cHCC-CC patients undergoing surgical treatment.
Bile Duct Neoplasms ; diagnosis ; surgery ; Carcinoma, Hepatocellular ; diagnosis ; surgery ; Cholangiocarcinoma ; diagnosis ; surgery ; Hepatectomy ; Humans ; Liver Neoplasms ; diagnosis ; surgery ; Neoplasm Staging ; methods ; Predictive Value of Tests ; Prognosis ; ROC Curve ; Survival Rate
3.Atherosclerotic aortic ulcers monitoring by electron beam CT or multi-slice CT.
Ai-hua ZHI ; Ru-ping DAI ; Shi-liang JIANG ; Lian-jun HUANG ; Bin LÜ ; Cheng CAO ; Hua BAI
Chinese Journal of Cardiology 2006;34(8):722-725
OBJECTIVETo evaluate the evolution of medically treated atherosclerotic aortic ulcers by computed tomography (CT).
METHODSThirty-five patients (31 men and 4 women, aged from 40 to 79 years, mean 56.2 +/- 10.8 years) with known aortic ulcers were monitored by CT (follow up time 7 - 730 days, mean 135 days), 80 - 100 ml contrast media (Ultravist 300 or 320, or Omnipaque 300 or 320 mg/ml) was injected with a rate of 3.5 - 4.5 ml/s. The scan delayed time was 18 - 30 s. Ulcers dimensions were measured according to maximum depth, maximum length and maximum width.
RESULTSThirty-one patients with intramural hematomas and 1 patient with atherosclerotic aortic arch aneurysm without intramural hematoma were medically treated and another 3 patients were surgically treated. Intramural hematoma regression was monitored in 31 medically treated patients with intramural hematomas. CT was repeated at 2 weeks, 3 and 6 months. Intramural hematoma resolved gradually during follow up [thickness: (7.69 +/- 4.24) mm at 3 months, (3.06 +/- 1.67) mm at 6 months, P < 0.05 vs. 1st CT: (11.96 +/- 4.16) mm while ulcer maximum depth (11.17 +/- 6.03) mm at 3 months, (11.35 +/- 5.59) mm at 6 months, P < 0.05 vs. 1st CT: (7.36 +/- 6.61) mm, maximum width (14.40 +/- 6.35) mm at 3 months, (18.55 +/- 10.94) mm at 6 months, P < 0.05 vs. 1st CT: (7.15 +/- 6.39) mm, maximum length (17.12 +/- 7.15) mm at 3 months, (18.13 +/- 10.89) mm at 6 months, P < 0.05 vs. 1st CT: (11.64 +/- 10.06) mm increased progressively during follow-up].
CONCLUSIONCT was a useful tool for deflecting atherosclerotic aortic ulcers and monitoring therapeutic effects.
Adult ; Aged ; Aortic Diseases ; diagnostic imaging ; Aortography ; Atherosclerosis ; diagnostic imaging ; Female ; Follow-Up Studies ; Hematoma ; diagnostic imaging ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Tomography, X-Ray Computed ; Ulcer ; diagnostic imaging
4.Relationship between PMI and relative expression of myocardial various RNAs in rats died of different causes.
Ye-Hui LÜ ; Heng ZHANG ; Hui PAN ; Kai-Jun MA ; Wen-Can LI ; Wen-Feng CHEN ; Jie-Qing' JIANG ; Ai-Min XUE ; Ping ZHANG ; Hui-Jun WANG ; Long CHEN
Journal of Forensic Medicine 2014;30(1):7-12
OBJECTIVE:
To observe the changes of relative expression of myocardial various RNAs in rats died of different causes and their relationship with PMI.
METHODS:
The rat models were established in which the rats were sacrificed by broken neck, asphyxia, and hemorrhagic shock. Total RNAs were extracted from myocardium. The quantitative real time PCR was used to calculate threshold cycle values of RNAs including glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin, inducible nitric oxide synthase (iNOS), hypoxia-inducible factor-1 (HIF-1), tumor necrosis factor-alpha (TNF-alpha), interleukin-6 (IL-6), and U6 small nuclear RNA (U6 snRNA) and to study the changes of the relative expressions of various indexes with PMI.
RESULTS:
U6 snRNA with stable expression level could be used as appropriate internal control. In the early PMI, the relative expression of GAPDH, HIF-1, iNOS, TNF-alpha, and IL-6 more characteristically increased in groups of asphyxia and hemorrhagic shock than in group of broken neck, but the quantity of beta-actin decreased in all groups. In the late PMI, all the relative expressions significantly declined in correlation with the degradation of RNA.
CONCLUSION
The characteristic changes of each RNA expression can be used as references to estimate PMI in deaths by different causes.
Actins
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Animals
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Cause of Death
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Cytokines/metabolism*
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Disease Models, Animal
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Enzymes/metabolism*
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Glyceraldehyde-3-Phosphate Dehydrogenases
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Myocardium/metabolism*
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Nitric Oxide Synthase Type II
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RNA/metabolism*
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RNA, Small Nuclear
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Rats
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Shock, Hemorrhagic
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Tumor Necrosis Factor-alpha
5.Extending the CONSORT Statement to moxibustion.
Chung-wah CHENG ; Shu-fei FU ; Qing-hui ZHOU ; Tai-xiang WU ; Hong-cai SHANG ; Xu-dong TANG ; Zhi-shun LIU ; Jia LIU ; Zhi-xiu LIN ; Lixing LAO ; Ai-ping LÜ ; Bo-li ZHANG ; Bao-yan LIU ; Zhao-xiang BIAN
Journal of Integrative Medicine 2013;11(1):54-63
The STandards for Reporting Interventions in Clinical Trials Of Moxibustion (STRICTOM), in the form of a checklist and descriptions of checklist items, were designed to improve reporting of moxibustion trials, and thereby facilitating their interpretation and replication. The STRICTOM checklist included 7 items and 16 sub-items. These set out reporting guidelines for the moxibustion rationale, details of moxibustion, treatment regimen, other components of treatment, treatment provider background, control and comparator interventions, and precaution measures. In addition, there were descriptions of each item and examples of good reporting. It is intended that the STRICTOM can be used in conjunction with the main CONSORT Statement, extensions for nonpharmacologic treatment and pragmatic trials, and thereby raise the quality of reporting of clinical trials of moxibustion. Further comments will be solicited from the experts of the CONSORT Group, the STRICTA Group, acupuncture and moxibustion societies, and clinical trial authors for optimizing the STRICTOM.
Clinical Trials as Topic
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methods
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standards
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Humans
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Moxibustion
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methods
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standards
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Randomized Controlled Trials as Topic
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Research Design
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standards
6.Research progress of polymer self-healing mechanism and its application in biomedicine
Jin-yue WANG ; Jin-wei DI ; Li-xun LÜ ; Ai-ping ZHENG ; Lin-lin ZHAO ; Jing GAO
Acta Pharmaceutica Sinica 2023;58(1):86-94
Polymer self-healing is mainly based on the molecular structure and interaction of polymers, and some need external stimulation, such as light, heat, pH, etc. In recent years, many studies have found that the self-healing properties of polymers can prolong the life of materials, while maintaining the mechanical properties of polymers after healing. According to the different action modes of polymer materials, it can be divided into autonomous self-healing and non-autonomous self-healing. Among them, autonomous self-healing mainly works through reversible covalent bonds (Schiff base bond, Diels-Alder reaction, hydrazide bond), reversible non-covalent bonds (hydrogen bond, metal-ligand coordination bond, electrostatic interaction,
7.Appraisal of treatment outcomes in integrative medicine using metabonomics: Taking non-alcoholic fatty liver disease with spleen deficiency syndrome as an example.
Liang DAI ; Jing-Juan XU ; Wen-Jun ZHOU ; Ai-Ping LÜ ; Guang JI
Journal of Integrative Medicine 2022;20(6):524-533
OBJECTIVE:
Appraisal of treatment outcomes in integrative medicine is a challenge due to a gap between the concepts of Western medicine (WM) disease and traditional Chinese medicine (TCM) syndrome. This study presents an approach for the appraisal of integrative medicine that is based on targeted metabolomics. We use non-alcoholic fatty liver disease with spleen deficiency syndrome as a test case.
METHODS:
A patient-reported outcome (PRO) scale was developed based on literature review, Delphi consensus survey, and reliability and validity test, to quantitatively evaluate spleen deficiency syndrome. Then, a metabonomic foundation for the treatment of non-alcoholic fatty liver disease with spleen deficiency syndrome was identified via a longitudinal interventional trial and targeted metabolomics. Finally, an integrated appraisal model was established by identifying metabolites that responded in the treatment of WM disease and TCM syndrome as positive outcomes and using other aspects of the metabonomic foundation as independent variables.
RESULTS:
Ten symptoms and signs were included in the spleen deficiency PRO scale. The internal reliability, content validity, discriminative validity and structural validity of the scale were all qualified. Based on treatment responses to treatments for WM disease (homeostasis model assessment of insulin resistance) or TCM syndrome (spleen deficiency PRO scale score) from a previous randomized controlled trial, two cohorts comprised of 30 participants each were established for targeted metabolomics detection. Twenty-five metabolites were found to be involved in successful treatment outcomes to both WM and TCM, following quantitative comparison and multivariate analysis. Finally, the model of the integrated appraisal system was exploratively established using binary logistic regression; it included 9 core metabolites and had the prediction probability of 83.3%.
CONCLUSION
This study presented a new and comprehensive research route for integrative appraisal of treatment outcomes for WM disease and TCM syndrome. Critical research techniques used in this research included the development of a TCM syndrome assessment tool, a longitudinal interventional trial with verified TCM treatment, identification of homogeneous metabolites, and statistical modeling.
Humans
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Drugs, Chinese Herbal
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Integrative Medicine
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Medicine, Chinese Traditional/methods*
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Non-alcoholic Fatty Liver Disease/therapy*
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Reproducibility of Results
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Spleen
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Syndrome
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Treatment Outcome
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Clinical Trials as Topic
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.