1.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
2.Distribution and antimicrobial resistance of pathogens from wound of burned patients in a tertiary first-class hospital from 2020 to 2022
Xiu-Cun LI ; En-Hua SUN ; Yan-Yan DONG ; Hui-Cui SHAN ; Hong-Xia ZHOU ; Xiao-Rong LUAN
Chinese Journal of Infection Control 2024;23(9):1126-1134
Objective To analyze the distribution and antimicrobial resistance of pathogens from wounds of burned patients,providing reference for the rational use of antimicrobial agents and healthcare-associated infection(HAI)prevention and control.Methods Clinical data of burned patients admitted to a tertiary first-class hospital from Ja-nuary 2020 to December 2022 were analyzed retrospectively,pathogens in the wound was cultured,identified,and performed antimicrobial susceptibility analysis.Results From 2020 to 2022,a total of 588 burned patients were ad-mitted,734 strains of pathogens were detected,including 415 strains(56.54%)of Gram-negative bacteria,306 strains(41.69%)of Gram-positive bacteria,and 13(1.77%)strains of fungi.The top 5 pathogens were Staphy-lococcus aureus,Escherichia coli,Pseudomonas aeruginosa,Klebsiella pneumoniae,and Enterobacter cloacae.Staphylococcus aureus had higher resistance rates(93.02%-97.37%)to penicillin G,resistance rate to oxacillin increased from 11.63%to 21.92%.Pseudomonas aeruginosa mainly exhibited resistance to ticarcillin/clavulanic acid,aztreonam,and levofloxacin,resistance rates to imipenem and meropenem were 15.00%-38.10%and 10.00%-33.33%,respectively.Susceptibility of Enterobacterales bacteria to cephalosporins enhanced with the increased of cephalosporin generations,and exhibited higher resistance to commonly used antimicrobial agents.Conclusion Over the past three years,there has been no significant change in the detection of major pathogens and antimicrobial resistance in wounds of burned patients in this hospital.Antimicrobial resistance of Staphylococcus aureus and En-terobacterales is relatively severe,and it is necessary to carry out surveillance on pathogens from burn wounds in corresponding areas.
3.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units,and the top five bacteria were Staphylococcus aureus( n=1 147,36.3%),coagulase-negative Staphylococci( n=928,29.3%), Enterococcus faecalis( n=369,11.7%), Enterococcus faecium( n=296,9.4%)and alpha-hemolyticus Streptococci( n=192,6.1%). The detection rates of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)were 26.4%(303/1 147)and 66.7%(619/928),respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome,rifampin,compound sulfamethoxazole,linezolid,minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%(2/369),and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions( χ2=14.578, P=0.002),while the detection rate of MRCNS in northern China was significantly higher than that in other regions( χ2=15.195, P=0.002). The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals( χ2=13.519 and 12.136, P<0.001). The detection rates of MRSA and MRCNS in economically more advanced regions(per capita GDP≥92 059 Yuan in 2022)were higher than those in economically less advanced regions(per capita GDP<92 059 Yuan)( χ2=9.969 and 7.606, P=0.002和0.006). Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China, Staphylococci is the most common while the MRSA incidence decreases continuously with time;the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China,with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.
4.BRICS report of 2021: The distribution and antimicrobial resistance profile of clinical bacterial isolates from blood stream infections in China
Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiliang WANG ; Hui DING ; Haifeng MAO ; Yizheng ZHOU ; Yan JIN ; Yongyun LIU ; Yan GENG ; Yuanyuan DAI ; Hong LU ; Peng ZHANG ; Ying HUANG ; Donghong HUANG ; Xinhua QIANG ; Jilu SHEN ; Hongyun XU ; Fenghong CHEN ; Guolin LIAO ; Dan LIU ; Haixin DONG ; Jiangqin SONG ; Lu WANG ; Junmin CAO ; Lixia ZHANG ; Yanhong LI ; Dijing SONG ; Zhuo LI ; Youdong YIN ; Donghua LIU ; Liang GUO ; Qiang LIU ; Baohua ZHANG ; Rong XU ; Yinqiao DONG ; Shuyan HU ; Kunpeng LIANG ; Bo QUAN ; Lin ZHENG ; Ling MENG ; Liang LUAN ; Jinhua LIANG ; Weiping LIU ; Xuefei HU ; Pengpeng TIAN ; Xiaoping YAN ; Aiyun LI ; Jian LI ; Xiusan XIA ; Xiaoyan QI ; Dengyan QIAO ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2023;16(1):33-47
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical bacterial isolates from bloodstream infections in China in 2021.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2021 to December 2021. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 11 013 bacterial strains were collected from 51 hospitals, of which 2 782 (25.3%) were Gram-positive bacteria and 8 231 (74.7%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.6%), Klebsiella pneumoniae (18.9%), Staphylococcus aureus (9.8%), coagulase-negative Staphylococci (6.3%), Pseudomonas aeruginosa (3.6%), Enterococcus faecium (3.6%), Acinetobacter baumannii (2.8%), Enterococcus faecalis (2.7%), Enterobacter cloacae (2.5%) and Klebsiella spp (2.1%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 25.3% and 76.8%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci was detected; more than 95.0% of Staphylococcus aureus were sensitive to ceftobiprole. No vancomycin-resistant Enterococci strains were detected. The rates of extended spectrum B-lactamase (ESBL)-producing isolated in Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 49.6%, 25.5% and 39.0%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.2% and 15.8%, respectively; 7.9% of carbapenem-resistant Klebsiella pneumoniae was resistant to ceftazidime/avibactam combination. Ceftobiprole demonstrated excellent activity against non-ESBL-producing Escherichia coli and Klebsiella pneumoniae. Aztreonam/avibactam was highly active against carbapenem-resistant Escherichia coli and Klebsiella pneumoniae. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii (5.5% and 4.5%). The prevalence of carbapenem-resistance in Pseudomonas aeruginosa was 18.9%. Conclusions:The BRICS surveillance results in 2021 shows that the main pathogens of blood stream infection in China are gram-negative bacteria, in which Escherichia coli is the most common. The MRSA incidence shows a further decreasing trend in China and the overall prevalence of vancomycin-resistant Enterococci is low. The prevalence of Carbapenem-resistant Klebsiella pneumoniae is still on a high level, but the trend is downwards.
5.Epidemiological investigation on allergic diseases related to animal dander of cats, dogs and horses.
Wan Jia LI ; Zhi Feng HUANG ; Hui Qing ZHU ; Ying LIU ; Rong Fang ZHANG ; Guo Ping LI ; Meng XU ; Chuang Li HAO ; Shu Ping ZHANG ; Yong Mei YU ; Dong Ming HUANG ; Hua Li REN ; Xing SUN ; Yun SUN ; Jin Hai MA ; Xiao Luan LI ; Bao Qing SUN
Chinese Journal of Preventive Medicine 2022;56(9):1279-1288
Objective: A multicenter Chinese mainland survey was conducted to investigate the sensitization distribution characteristics of cat, dog and horse dander in patients with allergic diseases, so as to provide clinicians with epidemiological data of common animal allergens and useful information for the prevention and treatment of allergies in cats, dogs and horses. Methods: The epidemiological investigation and design was adopted. This study is based on the national epidemiological survey of allergic diseases led by the first affiliated Hospital of Guangzhou Medical University. From January to December in 2021, a total of 2 122 patients diagnosed with allergic diseases were included in the outpatient department of respiratory department/pediatrics/allergy department of 14 units such as the First Affiliated Hospital of Guangzhou Medical University, and 222 healthy subjects were included as controls from the physical examination center of the above units in the same period. All the subjects filled out the allergic disease questionnaire under the guidance of doctors, and the allergen-specific immunoglobulin E (sIgE) of cats, dogs and horses of all subjects were detected by magnetic particle chemiluminescence system. The epidemiological characteristics of three animal allergens in different diseases, ages and regions were analyzed. Chi square test was used to analyze the frequency difference between groups, t test or Mann Whitney U test was used to test the distribution difference between two groups, and one-way ANOVA or Kruskal Wallis H test was used to compare the distribution difference between multiple groups. Bar chart, Venn-plot and radar chart were drawn to show the sensitization distribution characteristics. A small number of missing values caused by subjects' omission have been excluded during the analysis. Results: The 2 122 patients with allergic diseases were 57.35% male (1 217/2 122) and 40.95% female (869/2 122), and 1.70% (36/2 122) patients had loss of gender information. The age of patients with allergic diseases was 9.0 (6.0, 28.0) years, while that of healthy controls was 29.0 (13.0, 39.0) years old, and there were 1.7% (36/2 122) and 0.9% (2/222) subjects with missing age information, respectively. The proportion of caesarean section in allergic patients was significantly higher than that in healthy controls (31.4% vs. 17.6%,χ2=16.582,P<0.001) [2.5% (54/2 122) of the patient group and 5.4% (12/222) of the control group had missing birth mode information], and the proportion of patients with allergic diseases who reported that both parents had allergic diseases was significantly higher than that of the control group (35.7% vs. 9.5%, χ2=65.171,P<0.001). Patients with allergic diseases are mainly school-age (6-12 years old) and adolescents (12-18 years old). 16.4% of patients with allergic diseases were sensitized to cat dander, 10% and 6% to dog and horse dander. The sensitization rate of cat dander in patients with rhinitis, asthma, conjunctivitis, food allergy and atopic dermatitis was the highest (16.4%-21.6%), followed by dog dander (10.2%-15.2%). The prevalence of allergic rhinitis was the highest among different animal sensitized populations. The proportion of cat, dog and horse allergens sensitized at the same time is between 10%-15%, and the proportion of any two or more animal dander sensitized at the same time is about 45%. Animal allergens are associated with respiratory allergic diseases, especially allergic rhinitis with allergic conjunctivitis. There were significant differences in the distribution of positive rates of three animal allergens in different regions, and the highest positive rate of cat dander was found in all provinces of the country. Conclusion: The sensitization rate of animal dander allergens increased significantly, and the highest was in children and adolescents. Cat dander is the most common animal allergen, followed by dog. Different animals show obvious cross or common sensitization due to their high homology.
Allergens
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Animals
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Cats
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Cesarean Section
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Dander
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Dogs
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Female
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Horses
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Immunoglobulin E
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Male
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Pregnancy
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Rhinitis, Allergic
6.BRICS report of 2020: The bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Yuanyuan DAI ; Jiliang WANG ; Haifeng MAO ; Hui DING ; Yongyun LIU ; Yizheng ZHOU ; Hong LU ; Youdong YIN ; Yan JIN ; Hongyun XU ; Lixia ZHANG ; Lu WANG ; Haixin DONG ; Zhenghai YANG ; Fenghong CHEN ; Donghong HUANG ; Guolin LIAO ; Pengpeng TIAN ; Dan LIU ; Yan GENG ; Sijin MAN ; Baohua ZHANG ; Ying HUANG ; Liang GUO ; Junmin CAO ; Beiqing GU ; Yanhong LI ; Hongxia HU ; Liang LUAN ; Shuyan HU ; Lin ZHENG ; Aiyun LI ; Rong XU ; Kunpeng LIANG ; Zhuo LI ; Donghua LIU ; Bo QUAN ; Qiang LIU ; Jilu SHEN ; Yiqun LIAO ; Hai CHEN ; Qingqing BAI ; Xiusan XIA ; Shifu WANG ; Jinhua LIANG ; Liping ZHANG ; Yinqiao DONG ; Xiaoyan QI ; Jianzhong WANG ; Xuefei HU ; Xiaoping YAN ; Dengyan QIAO ; Ling MENG ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(6):413-426
Objective:To investigate the bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China.Methods:The clinical bacterial strains isolated from blood culture were collected during January 2020 to December 2020 in member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS). Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute(CLSI, USA). WHONET 5.6 was used to analyze data.Results:During the study period, 10 043 bacterial strains were collected from 54 hospitals, of which 2 664 (26.5%) were Gram-positive bacteria and 7 379 (73.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (38.6%), Klebsiella pneumoniae (18.4%), Staphylococcus aureus (9.9%), coagulase-negative Staphylococci (7.5%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.3%), Enterobacter cloacae (2.8%), Enterococcus faecalis (2.6%), Acinetobacter baumannii (2.4%) and Klebsiella spp (1.8%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 27.6% and 74.4%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci were detected. More than 95% of Staphylococcus aureus were sensitive to rifampicin and SMZco. No vancomycin-resistant Enterococci strains were detected. Extended spectrum β-lactamase (ESBL) producing Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 48.4%, 23.6% and 36.1%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.3% and 16.1%, respectively; 9.6% of carbapenem-resistant Klebsiella pneumoniae strains were resistant to ceftazidime/avibactam combination. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii. The prevalence rate of carbapenem-resistance of Pseudomonas aeruginosa was 23.2%. Conclusions:The surveillance results in 2020 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen, and ESBL-producing strains declined while carbapenem-resistant Klebsiella pneumoniae kept on high level. The proportion and the prevalence of carbapenem-resistant Pseudomonas aeruginosa were on the rise slowly. On the other side, the MRSA incidence got lower in China, while the overall prevalence of vancomycin-resistant Enterococci was low.
7.BRICS report of 2018-2019: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Hui DING ; Yongyun LIU ; Haifeng MAO ; Ying HUANG ; Zhenghai YANG ; Yuanyuan DAI ; Guolin LIAO ; Lisha ZHU ; Liping ZHANG ; Yanhong LI ; Hongyun XU ; Junmin CAO ; Baohua ZHANG ; Liang GUO ; Haixin DONG ; Shuyan HU ; Sijin MAN ; Lu WANG ; Zhixiang LIAO ; Rong XU ; Dan LIU ; Yan JIN ; Yizheng ZHOU ; Yiqun LIAO ; Fenghong CHEN ; Beiqing GU ; Jiliang WANG ; Jinhua LIANG ; Lin ZHENG ; Aiyun LI ; Jilu SHEN ; Yinqiao DONG ; Lixia ZHANG ; Hongxia HU ; Bo QUAN ; Wencheng ZHU ; Kunpeng LIANG ; Qiang LIU ; Shifu WANG ; Xiaoping YAN ; Jiangbang KANG ; Xiusan XIA ; Lan MA ; Li SUN ; Liang LUAN ; Jianzhong WANG ; Zhuo LI ; Dengyan QIAO ; Lin ZHANG ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(1):32-45
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2018 to December 2019. Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 14 778 bacterial strains were collected from 50 hospitals, of which 4 117 (27.9%) were Gram-positive bacteria and 10 661(72.1%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.2%), Klebsiella pneumoniae (17.0%), Staphylococcus aureus (9.7%), coagulase-negative Staphylococci (8.7%), Pseudomonas aeruginosa (3.7%), Enterococcus faecium (3.4%), Acinetobacter baumannii(3.4%), Enterobacter cloacae (2.9%), Streptococci(2.8%) and Enterococcus faecalis (2.3%). The the prevalence of methicillin-resistant S. aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus were 27.4% (394/1 438) and 70.4% (905/1 285), respectively. No glycopeptide-resistant Staphylococcus was detected. More than 95% of S. aureus were sensitive to amikacin, rifampicin and SMZco. The resistance rate of E. faecium to vancomycin was 0.4% (2/504), and no vancomycin-resistant E. faecalis was detected. The ESBLs-producing rates in no carbapenem-resistance E. coli, carbapenem sensitive K. pneumoniae and Proteus were 50.4% (2 731/5 415), 24.6% (493/2001) and 35.2% (31/88), respectively. The prevalence of carbapenem-resistance in E. coli and K. pneumoniae were 1.5% (85/5 500), 20.6% (518/2 519), respectively. 8.3% (27/325) of carbapenem-resistance K. pneumoniae was resistant to ceftazidime/avibactam combination. The resistance rates of A. baumannii to polymyxin and tigecycline were 2.8% (14/501) and 3.4% (17/501) respectively, and that of P. aeruginosa to carbapenem were 18.9% (103/546). Conclusions:The surveillance results from 2018 to 2019 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while E. coli was the most common pathogen, and ESBLs-producing strains were in majority; the MRSA incidence is getting lower in China; carbapenem-resistant E. coli keeps at a low level, while carbapenem-resistant K. pneumoniae is on the rise obviously.
8.Effect of glucose metabolism disorders on the short-term prognosis in neonates with asphyxia: a multicenter study in Hubei Province, China.
Chun-Hua LIU ; Hui WANG ; Si-Cong PENG ; Wen-Xiang WANG ; Rong JIAO ; Sha PAN ; Tian-Jiao ZHU ; Xiao-Ying LUAN ; Xiao-Fang ZHU ; Su-Ying WU ; De-Guo WEI ; Bing-Feng FU ; Rui-Hong YAN ; Shu-Jie YANG ; Ya-Hui LUO ; Gui-Ping LI ; Min YANG ; De-Zhao JIA ; Chuang GAO ; Xiong-Fei XIAO ; Li XIONG ; Jie SUN ; Jia-Peng XIAO ; Bo-Wen LI ; Yan-Ni LI ; Lian-Hong ZHANG ; Tian-Guo LI ; Min CHENG ; Jian-Xin XIA ; Shi-Wen XIA
Chinese Journal of Contemporary Pediatrics 2021;23(12):1208-1213
OBJECTIVES:
To study the effect of glucose metabolism disorders on the short-term prognosis in neonates with asphyxia.
METHODS:
A retrospective analysis was performed on the medical data of the neonates with asphyxia who were admitted to 52 hospitals in Hubei Province of China from January to December, 2018 and had blood glucose data within 12 hours after birth. Their blood glucose data at 1, 2, 6, and 12 hours after birth (with an allowable time error of 0.5 hour) were recorded. According to the presence or absence of brain injury and/or death during hospitalization, the neonates were divided into a poor prognosis group with 693 neonates and a good prognosis group with 779 neonates. The two groups were compared in the incidence of glucose metabolism disorders within 12 hours after birth and short-term prognosis.
RESULTS:
Compared with the good prognosis group, the poor prognosis group had a significantly higher proportion of neonates from secondary hospitals (48.5% vs 42.6%,
CONCLUSIONS
Recurrent hyperglycemia in neonates with asphyxia may suggest poor short-term prognosis, and it is necessary to strengthen the early monitoring and management of the nervous system in such neonates.
Asphyxia
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Asphyxia Neonatorum/epidemiology*
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Humans
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Hyperglycemia
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Infant, Newborn
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Prognosis
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Retrospective Studies
9.Quality of life and its influencing factors of hepatitis B positive in pregnant women in Jianyang
Dan-dan YANG ; Yao-ming XU ; Jian-wei ZHAO ; Wen-qiang ZHANG ; Xin-ya MA ; Jun XIAO ; Rong-sheng LUAN
Chinese Journal of Disease Control & Prevention 2019;23(3):360-364
Objective To evaluate the quality of life in pregnant women with hepatitis B positive and to explore its influencing factors. Methods Eighty pregnant women with positive hepatitis B were randomly selected from Jan. to Apr. 2018 in Jianyang Maternal and Child Health Hospital as the case group, and 323 normal pregnant women were selected as the control group. A face-to-face survey was conducted using the Concise Health Survey Scale SF-36. t test, ANOVA and multiple linear regression were used for statistical analysis. Results The scores of PF and RP in the case group were lower than those in the control group, and the scores of GH in the case group were higher than those in the control group. Analysis of the factors affecting the quality of life of the case group found that the more severe the early pregnancy reaction, the lower the quality of life score. Conclusions The PF and RP of pregnant women with hepatitis B positive in Jianyang City are worse than those of normal pregnant women. Comprehensive measures should be taken to improve their quality of life.
10.Analysis of lipophilic components of Salvia miltiorrhiza roots and S. yunnanensis roots by UPLC and LC-MS/MS.
Li-Guo ZHANG ; Tian-Tian HU ; Fang-Fang ZHANG ; Shao-Rong LUAN ; Wei LI ; Hai-Xing DENG ; Zhu-Hui LAN ; Xiao-Fang LUO ; Zhong-Xiang WU ; Mleczko LESLAW
China Journal of Chinese Materia Medica 2019;44(6):1208-1215
Fingerprints of lipophilic components in the roots of Salvia miltiorrhiza and S.yunnanensis were analyzed by UPLC-DADand UPLC coupled with mass spectroscopy to evaluate the differences and similarities of the lipophilic components in the two kinds of herbs.The UPLC analysis of 18 batches of S.miltiorrhiza and 16 batches of S.yunnanensis was performed on a 25℃Thermo Accucore C_(18)column(2.1 mm×100 mm,2.6μm)by Shimadzu LC-20AD;mobile phase was 0.026%phosphoric acid(A)-acetonitrile(B)with gradient elution;flow rate was 0.4 m L·min~(-1);detection wavelength was set at 270 nm;injection volume was 2μL.The molecular structures of the lipophilic components were analyzed on a 25℃Thermo Accucore C_(18)column(2.1 mm×100 mm,2.6μm)by Thermo U3000 UPLC Q Exactive Orbitrap LC-MS/MS with a mobile phaseconsisting of 0.1%formic acid water(A)and 0.1%formic acidacetonitrile(B).The mass spectrometry was acquired in positive modes using ESI.There are 10 common peaks in the lipophilic components of S.miltiorrhiza.The similarity between the 16 batches of S.miltiorrhiza and their own reference spectra was greater than 0.942,and the average similarity was 0.973.There are 12 common peaks in the lipophilic components of S.yunnanensis.The similarity between the 18 batches of S.yunnanensis and their own reference spectra was greater than 0.937,and the average similarity was 0.976.The similarity between the reference chromatograms of S.miltiorrhiza and S.yunnanensis was only 0.900.There are three lipophilic components in S.yunnanensis,which are not found in S.miltiorrhiza,and one of which isα-lapachone.There is a lipophilic component in S.miltiorrhiza not found in S.yunnanensis,which may be miltirone.The two herbs contain 8 common lipophilic components including dihydrotanshinoneⅠ,cryptotanshinone,tanshinoneⅠ,tanshinoneⅡ_A,nortanshinone in which the content of tanshinoneⅡ_A,dihydrotanshinoneⅠand cryptotanshinone of S.yunnanensisis significantly lower than that of S.miltiorrhiza(P<0.01),and the contents of tanshinoneⅠand nortanshinone are significantly lower than that of S.miltiorrhiza too(P<0.05).There are significant differences in the types and contents of lipophilic components between the roots of S.miltiorrhiza and S.yunnanensis,and the similarity between the fingerprints of interspecies is much lower than that between the same species.Therefore,the roots of S.miltiorrhiza and S.yunnanensis are two kinds of herbs which are quite different in chemical compounds and compositions.
Chromatography, Liquid
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Diterpenes, Abietane
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Molecular Structure
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Plant Roots
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Salvia miltiorrhiza
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Tandem Mass Spectrometry

Result Analysis
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