1.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.
2.Changing resistance profiles of Staphylococcus isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yuling XIAO ; Mei KANG ; Yi XIE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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(5):570-580
Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8%)strains of Staphylococcus aureus and 68,040(33.2%)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)%,wound,pus and secretions(33.6±4.2)%,and blood(11.9±1.5)%.The CNS strains were predominantly isolated from blood(73.6±4.2)%,cerebrospinal fluid(12.1±2.5)%,and pleural effusion and ascites(8.4±2.1)%.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)%,outpatient and emergency(11.6±1.7)%,and department of surgery(11.2±0.9)%,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)%,outpatient and emergency(12.8±4.7)%,and department of internal medicine(11.2±1.9)%.The prevalence of methicillin-resistant strains was 32.9%in S.aureus(MRSA)and 74.1%in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1%to 29.2%,and the prevalence of MRCNS decreased from 82.1%to 68.2%.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2%to 2.3%over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.
3.Research Progress on Biological Matrix Reference Materials in Forensic Toxicology.
Hang CHEN ; Jing HU ; Zheng QIAO ; Hong-Xiao DENG ; Min LÜ ; Wei LIU
Journal of Forensic Medicine 2023;39(2):176-185
Biological matrix reference material is a reference material that combines the target material with the biological matrix. The biological matrix reference material has higher consistency with the authentic specimens in forensic toxicology, and its application has a positive effect on improving the accuracy of test results. This paper reviews the research on the matrix reference materials corresponding to three common biological test materials (blood, urine and hair). In order to provide reference for the development and application of biological matrix reference materials in forensic toxicology, this paper mainly introduces the research progress of preparation technology of biological matrix reference materials and some existing products and their parameters evaluation.
Forensic Toxicology/methods*
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Hair
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Body Fluids
4.Construction of a forecast system for prediction of schistosomiasis risk in China based on the flood information
Jin-Xin ZHENG ; Shang XIA ; Shan LÜ ; Yi ZHANG ; Xiao-Nong ZHOU
Chinese Journal of Schistosomiasis Control 2021;33(2):133-137
Objective To create a model based on meteorological data to predict the regions at risk of schistosomiasis during the flood season, so as to provide insights into the surveillance and forecast of schistosomiasis. Methods An interactive schistosomiasis forecast system was created using the open-access R software. The schistosomiasis risk index was used as a basic parameter, and the species distribution model of Oncomelania hupensis snails was generated according to the cumulative rainfall and temperature to predict the probability of O. hupensis snail distribution, so as to identify the regions at risk of schistosomiasis transmission during the flood season. Results The framework of the web page was built using the Shiny package in the R program, and an interactive and visualization system was successfully created to predict the distribution of O. hupensis snails, containing O. hupensis snail surveillance site database, meteorological and environmental data. In this system, the snail distribution area may be displayed and the regions at risk of schistosomiasis transmission may be predicted using the species distribution model. This predictive system may rapidly generate the schistosomiasis transmission risk map, which is simple and easy to perform. In addition, the regions at risk of schistosomiasis transmission were predicted to be concentrated in the middle and lower reaches of the Yangtze River during the flood period. Conclusions A schistosomiasis forecast system is successfully created, which is accurate and rapid to utilize meteorological data to predict the regions at risk of schistosomiasis transmission during the flood period.
5.Quality of Life and Influencing Factors for Children with Disabilities in Developed Areas in China: a Case of Shanghai
Shi-ya ZHANG ; Mei SUN ; Jun LÜ ; Cong XIA ; Hong-ying ZHENG ; Gang CHEN ; Lei TANG ; Xiao-qian WANG
Chinese Journal of Rehabilitation Theory and Practice 2021;27(10):1127-1134
Objective:To explore the current status of the quality of life of children with disabilities and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 285 family caregivers of children with disabilities were enrolled in Shanghai. The EuroQol-5 Dimension Questionnaire Youth Version (EQ-5D-Y) was used to measure the quality of life of 285 children with disabilities. The impact of individual factors, caregiver factors, and environmental factors (family factors and social factors) on children's quality of life were analyzed using multiple linear stepwise regression analysis. Results:The score of Visual Analog Scale (VAS) was (71.66±22.33). The quality of life were poorer for children with physical disabilities (
6.Depression and Its Influencing Factors of Caregivers for Children with Disabilities
Lei TANG ; Gang CHEN ; Jun LÜ ; Mei SUN ; Cong XIA ; Hong-ying ZHENG ; Xiao-hong LI ; Xiao-qian WANG
Chinese Journal of Rehabilitation Theory and Practice 2021;27(10):1159-1166
Objective:To investigate the depression status of caregivers of children with disabilities and analyze the influencing factors. Methods:From August to September, 2020, a one-to-one interview was conducted using a convenience sampling method to determine the depression status of 334 caregivers of children with disabilities in Shanghai. Patient Health Questionnaire 9 Item (PHQ-9) was used to evaluate the depression status. The data were analyzed with univariate analysis from three aspects: caregiver, care recipient and environment. Then, the statistically significant variables were included in a dichotomous logistic regression. Results:The depression rate of 334 caregivers of children with disabilities was 35.9%. Among the caregiver factors, female caregivers had a higher risk of depression than male (
7.Coping Behaviors and Its Influential Factors for Caregivers of Children with Disabilities in Developed Areas in China
Hui-lin LIU ; Gang CHEN ; Jun LÜ ; Mei SUN ; Cong XIA ; Hong-ying ZHENG ; Xiao-hong LI ; Shi-ya ZHANG
Chinese Journal of Rehabilitation Theory and Practice 2021;27(10):1167-1175
Objective:To investigate the current status of coping behaviors among caregivers of children with disabilities in the context of rehabilitation and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 358 caregivers (parents) of children with disabilities were surveyed in Shanghai. They were evaluated in the context of rehabilitation of children with disabilities with Coping Health Inventory for Parents (CHIP). Multiple linear stepwise regression analysis was used to explore the influencing factors. Results:The total score of CHIP was (106.00±23.45) and the average score of CHIP was (2.36±0.52). Among the caregiver factor, mothers (
8.A new alkaloid from Rehmanniae Radix Preparata
Jin-jin LÜ ; Jing-ke ZHANG ; Bei-bei ZHANG ; Juan-juan LIU ; Meng LI ; Jing-ya SHI ; Deng-hui ZHU ; Hang YANG ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2020;55(2):289-293
The chemical constituents of Rehmanniae Radix Preparata
9.Relationship among areca nut, intracellular reactive oxygen species, and autophagy.
Zhi XU ; Feng-Yuan LÜ ; Er-Hui JIANG ; Xiao-Ping ZHAO ; Zheng-Jun SHANG
West China Journal of Stomatology 2020;38(1):80-85
The relationship between areca nut as a primary carcinogen and oral cancer has been widely concerned. Areca can change the levels of reactive oxygen species (ROS) and autophagy in cells, and the levels of ROS and autophagy are closely related to the occurrence and development of tumors. This paper reviewed the relationships among areca nut, intracellular ROS, and autophagy.
Areca
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Autophagy
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Humans
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Mouth Neoplasms
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Nuts
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Oral Submucous Fibrosis
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Reactive Oxygen Species
10.Investigation of oral health knowledge, attitude, behavior of 12-15 years old children in Chongqing.
Li DENG ; Zheng-Yan YANG ; Ting CAI ; Yue-Heng LI ; Xiao-Yan LÜ ; Xian-Bin DING ; Zhi ZHOU
West China Journal of Stomatology 2020;38(1):42-47
OBJECTIVE:
To investigate the status of oral health knowledge, attitude, behavior of 12-15 years old children and provide a theoretical basis of prevention.
METHODS:
Multi-stage stratified sampling method was used to extract four middle school students from Chongqing districts and counties (2 in the main urban area and 2 suburbs), and their oral health knowledge, attitudes and behaviors were investigated through questionnaires. All data were entered using Epidata and statistical analysis was performed using SPSS 21.0 software.
RESULTS:
A total of 3 902 valid questionnaires were collected. The proportion of people who had good brushing habits was 39.7% (1 548), the average oral health knowledge accuracy rate was 58.9%, and the average oral health positive attitude was 88.6%. The number of middle school students who attended the dental experience was 54.5% (2 127), and that of the school who received oral health education was 17.5% (681). There were gender and regional differences in brushing habits.
CONCLUSIONS
The knowledge and behavior of oral health among 12-15-year-old middle school students in Chongqing need to be improved. Oral health education for middle school students should be strengthened, especially in rural and suburban areas.
Adolescent
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Attitude to Health
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Child
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Health Behavior
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Health Education, Dental
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Health Knowledge, Attitudes, Practice
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Humans
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Oral Health
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Rural Population
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Surveys and Questionnaires
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Toothbrushing

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