1.Analysis of pharmaceutical clinic service in our hospital over the past five years
Li FAN ; Shuyan QUAN ; Xuan WANG ; Menglin LUO ; Fei YE ; Lang ZOU ; Feifei YU ; Min HU ; Xuelian HU ; Chenjing LUO ; Peng GU
China Pharmacy 2025;36(6):748-751
OBJECTIVE To summarize the current situation of pharmaceutical clinic service in our hospital over the past five years, and explore sustainable development strategies for service models of pharmaceutical clinics. METHODS A retrospective analysis was conducted on the consultation records of patients who registered and established files at the pharmaceutical clinic in our hospital from January 2019 to December 2023. Statistical analysis was performed on patients’ general information, medication- related problems, and types of pharmaceutical services provided by pharmacists. RESULTS A total of 963 consultation records were included, among which females aged 20-39 years accounted for the highest proportion (66.04%); obstetrics and gynecology- related consultations accounted for the largest number of cases. Additionally, 80 patients attended follow-up visits at our hospital’s pharmaceutical clinic. A total of 1 029 medication-related issues were resolved, including 538 cases of drug consultations (52.28%), 453 medication recommendations (44.02%), 22 medication restructuring(2.14%), and 16 medication education (1.55%); the most common types of medication-related problems identified were adverse drug events(70.07%). CONCLUSIONS Although the pharmaceutical clinic has achieved recognition from clinicians and patients, challenges such as low awareness among healthcare providers and the public persist. Future efforts should focus on strengthening information technology construction, enhancing pharmacist training, and establishing various forms of outpatient pharmaceutical service models.
2.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.
3.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.
4.BRICS report of 2016-2017: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Qing YANG ; Haishen KONG ; Yongyun LIU ; Ying HUANG ; Yuanyuan DAI ; Liping ZHANG ; Hui DING ; Liang GUO ; Baohua ZHANG ; Lisha ZHU ; Haifeng MAO ; Zhixiang LIAO ; Yanhong LI ; Lu WANG ; Shuyan HU ; Zhenghai YANG ; Beiqing GU ; Haixin DONG ; Fei DU ; Lin ZHENG ; Bo QUAN ; Wencheng ZHU ; Jianzhong WANG ; Lan MA ; Rong XU ; Li SUN ; Aiyun LI ; Junmin CAO ; Jinhua LIANG ; Hongyun XU ; Kunpeng LIANG ; Dengyan QIAO ; Xiaoyan QI ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2020;13(1):42-54
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 2016 to December 2017. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI) 2019. WHONET 5.6 was used to analyze data.Results:During the study period, 8 154 bacterial strains were collected from 33 hospitals, of which 2 325 (28.5%) were Gram-positive bacteria and 5 829 (71.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (34.7%), Klebsiella pneumoniae (15.8%), Staphylococcus aureus (11.3%), coagulase-negative Staphylococci (7.4%), Acinetobacter baumannii (4.6%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.8%), Streptococci (2.9%), Enterobacter cloacae (2.7%) and Enterococcus faecalis (2.5%). Methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus (MRCNS) accounted for 34.2%(315/922) and 77.7%(470/605), respectively. No vancomycin-resistant Staphylococcus was detected. The resistance rate of Enterococcus faecium to vancomycin was 0.6%(2/312), and no vancomycin-resistant Enterococcus faecium was detected. The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus were 55.7%(1 576/2 831), 29.9%(386/1 289) and 38.5%(15/39), respectively. The incidences of carbapenem-resistance in Escherichia coli, Klebsiella pneumoniae were 1.2%(33/2 831), 17.5%(226/1 289), respectively. The resistance rates of Acinetobacter baumannii to polymyxin and tigecycline were 14.8%(55/372) and 5.9%(22/372) respectively, and those of Pseudomonas aeruginosa to polymyxin and carbapenem were 1.3%(4/315) and 18.7%(59/315), respectively. Conclusion:The surveillance results from 2016 to 2017 showed that the main pathogens of blood stream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen; the MRSA incidence was lower than other surveillance data in the same period in China; carbapenem-resistant Escherichia coli was at a low level during this surveillance, while carbapenem-resistant Klebsiella pneumoniae is on the rise.
5.Distribution and antimicrobial resistance profile of clinical bacterial isolates from blood culture in China, 2014-2015
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Ying HUANG ; Jilu SHEN ; Hui DING ; Jinwei HUANG ; Yuanyuan DAI ; Yongyun LIU ; Liping ZHANG ; Liang GUO ; Baohua ZHANG ; Yanhong LI ; Haifeng MAO ; Li WANG ; Lin ZHENG ; Beiqing GU ; Haixin DONG ; Chuandan WAN ; Zhixiang LIAO ; Rong XU ; Shuyan HU ; Li SUN ; Shucun ZHANG ; Lan MA ; Bo QUAN ; Jianzhong WANG ; Zhenghai YANG ; Wencheng ZHU ; Fei DU ; Dengyan QIAO ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2019;12(1):24-37
Objective To analyze the distribution and antimicrobial resistance profile of clinical bacterial strains isolated from blood culture in China.Methods Clinical bacterial strains isolated from blood culture from participating hospitals of Blood Bacterial Resistance Investigation Collaborative System (BRICS) during January 2014 to December 2015 were collected.Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods as recommended by US Clinical and Laboratory Standards Institute(CLSI)2018.The data were analyzed with Whonet 5.6 software.Results During the study period,4 801 clinical bacterial isolates were collected from 26 hospitals,of which 1 798 (37.5%) were Gram-positive bacteria and 3 003 (62.5%) were gram-negative bacteria.The top 10 isolates were Escherichia coli (33.8%),coagulase-negative Staphylococcus (19.0%),Klebsiella pneumoniae (11.9%),Staphylococcus aureus (10.1%),Acinetobacter baumannii (4.0%),Pseudomonas aeruginosa (3.8%),Streptococcus (3.0%),Enterobacter sulcus (2.9%),Enterococcus faecium (2.8%) and Enterococcus faecalis (1.8%).Methicillin-resistant Staphylococcus aureus (MRSA) and methicillinresistant coagulase-negative Staphylococcus (MRCNS) accounted for 33.9% (165/487) and 56.9% (520/913) of Staphylococcus aureus and coagulase-negative Staphylococcus respectively.No vancomycinresistant Staphylococcus was detected.The resistance rate of Enterococcus faecium to vancomycin was 0.7% (1/135),and no vancomycin-resistant Enterococcus faecaliss was detected.The positive rates of extendedspectrum β-1actamases(ESBLs)-producing Escherichia coli,Klebsiella pneumoniae and Proteus were 56.9% (923/1 621),30.1% (172/572) and 29.2% (7/24),respectively.The positive rates of carbapenemresistant Escherichia coli,Klebsiella pneumoniae,Enterobacter,Salmonella and Citrobacter were 1.2% (20/1 621),7.2% (41/572),4.3% (6/141),1.5% (1/67) and 2.9% (1/34),respectively.The resistance rates of Acinetobacter baumannii to polymyxin and tegacycline were 2.6% (5/190) and 8.9% (17/190)respectively,and that of Pseudomonas aeruginosa to polymyxin and fosfomycin were 1.1% (2/183)and 0.6% (1/183),respectively.Conclusions The surveillance results from 2014 to 2015 show that the main pathogens of blood stream infection in China are Gram-negative bacteria,while Escherichia coli is the most common pathogen,the detection rate of MRSA is lower than other surveillance data in the same period in China;carbapenem-resistant Klebsiella pneumoniae and Escherichia coli are at a low level as shown in this surveillance.
6.Construction of real-time polymerase chain reaction detection for infection-related cytokines of tree shrew.
Xiao LI ; Wenkuan LIU ; Shuyan QIU ; Duo XU ; Zhichao ZHOU ; Xingui TIAN ; Chi LI ; Shujun GU ; Rong ZHOU
Journal of Biomedical Engineering 2019;36(3):407-413
Tree shrew is a novel and high-quality experimental animal model. In this study, the real-time polymerase chain reaction methods were established to detect infection-related cytokines interleukin-6 (IL-6), IL-8, IL-10, IL-17A, interferon-γ (IFN-γ) and housekeeping gene glyceraldehyde-phosphate dehydrogenase ( ) of tree shrew. The results indicated that the establised methods had good specificity. The high point of the linear range of these reagents reached 1 × 10 copies, and the low points ranged from 10 copies (IL-6, IL-17A), 100 copies (IL-10, ) to 1 000 copies (IL-8, IFN-γ). In this interval, the linear correlation coefficient of each reagent was greater than 0.99. The lowest detectable values of IL-6, IL-8, IL-10, IL-17A, IFN-γ and were 8, 8, 4, 8, 128 and 4 copies, respectively. The results showed that the established detection methods had good specificity, sensitivity and wide linear range. The methods were suitable for detection of multiple concentration range samples, and could be used for the subsequent studies of tree shrew cytokines.
Animals
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Cytokines
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analysis
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Real-Time Polymerase Chain Reaction
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Shrews
7.Evidence-based research on the selection method system for China's essential medicine list
Hao ZHANG ; Shuyan GU ; Qian YANG ; Lin GAO ; Xuemei ZHEN ; Yuhang ZENG ; Hengjin DONG
Chinese Journal of Hospital Administration 2017;33(4):293-297
Objective To find a selection method system appropriate for China's essential drug list.Methods Collection and analysis of technical paper literature on essential drug list developement,adjustment technical papers,and literature on evidence-based medicine,pharmacoeconomics evaluation,and medical insurance budget analysis from WHO and other countries.On such basis,a method system for selecting China's essential medicine list can be proposed,with its feasibility analyzed and demonstrated.Results The GRADE assessment proposed by WHO was used to evaluate the efficacy and safety of the drug;the pharmacy economics evaluation is added to assess the economic efficiency;these were aided by the pharmacoeconomics evaluation for a comprehensive evaluation of the pharmacoeconomics of the drug in question,supplementing analysis of the medical insurance,and ensuring its affordability of essential medicine so selected.The theory of this system is well developed,and supporting software ready for application.Examples in Zhejiang Province regarding essential medicine for diabetes have proved this method feasible.Data acquisition constitutes a major roadblock for scientific selection due to barriers against medical insurance data sharing.Conclusions Theoretic basis and method tools are fully available for essential medicine selection,and the selection method system as proposed in this study prove feasible to some extent.Decision makers are recommended to scientifically select the essential drugs,and to encourage data sharing,in order to make the list more scientific and pragmatic.
8.Whether tiered medical care system is effective in saving costs?Cost savings estimation of the medical care system after tiered optimization in Zhejiang Province based on system dynamics model
Hao ZHANG ; Yue LIU ; Shuyan GU ; Xuemei ZHEN ; Yuhang ZENG ; Yuxuan GU ; Hengjin DONG
Chinese Journal of Health Policy 2017;10(7):13-21
The experience of various countries proves that the hierarchical diagnosis and treatment model can lead to reasonable resources allocation and utilization, however, the waste of China''s disordered treatment model has not been estimated.Nowadays, it is very important to establish a hierarchical diagnosis and treatment system during China''s healthcare system reform.Therefore, it is necessary to estimate the benefit the reform may bring.We take Zhejiang Province as an example, and adopted the system dynamics model to build the health delivery system, to emulate the hierarchical diagnosis and treatment model and the disordered model, and to evaluate the benefit.Results showed that if first option at the primary health institutions increased 10%, it could save 0.251 billion yuan, and if increased 15%, it could save 0.39 billion yuan.If the first option at the primary health institution reached 72.35% and the treatment in county reached 90%, the outpatient in tertiary hospital could reduce by 13 million, and those in primary healthcare institutions could increase by 74 million yuan.The direct healthcare cost could reduce 3.016 billion Yuan.
9.Prevalence of dyslipidemia in subjects with type 2 diabetes mellitus in Beijing urban communities:Beijing community diabetes study 8
Guangran YANG ; Shenyuan YUAN ; Hanjing FU ; Gang WAN ; Liangxiang ZHU ; Mingxia YUAN ; Sufang PAN ; Xianglei BU ; Jiandong ZHANG ; Xueping DU ; Yuling LI ; Yu JI ; Xiaoning GU ; Yue LI ; Xueli CUI ; Wei BAI ; Yujie CHEN ; Ziming WANG ; Shuyan CHENG ; Ying GAO ; Deyuan LIU ; Yipin WANG
Chinese Journal of General Practitioners 2012;(10):748-752
Objective To investigate the prevalence of dyslipidemia in subjects with type 2 diabetes mellitus in Beijing urban communities.Methods Total 3316 subjects with type 2 diabetes (age 20-80 years) were recruited from 15 urban community health centers in Beijing using a multi-stage random sampling approach.Dyslipidemia was diagnosed according to Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults:2007 version.Results Among 3316 diabetic subjects (1329 malesand 1987 females),75.6% (2506/3316) had dyslipidemia,the prevalence was 72.5% (964/1329)in men and 77.6% (1542/1987) in women.The prevalence of hypertriglyceridemia and hypercholesterolemia was 41.9% (1388/3316) and 48.1% (1595/3316),respectively.31.5% (1043/3316) subjects had high levels of low-density lipoprotein cholesterol (LDL-C) and 21.2% (703/3316) had low high-density lipoprotein cholesterol (HDL-C).Among all subjects with dyslipidemia only 22.9% (575/2506) took hypolipid agents.The overall blood lipid control rates of triglyceride (TG),total cholesterol (TC),LDL-C and HDL-C in 1393 subjects with dyslipidemia history were 48.0% (669/1393),17.4% (242/1393),30.9% (430/1393) and 75.8% (1056/1393),respectively.Diabetics with dyslipidemia had higher body mass index,waist circumference,blood pressure,plasma glucose and hemoglobin A1c.The prevalence of dyslipidemia in the overweight and uncontrolled-glucose group were 79.0% (1678/2125),78.9% (1756/2227),respectively.Logistic regression analysis showed that gender,age,body mass index and hemoglobin A1c were associated with dyslipidemia.Conclusions The prevalence of dyslipidemia in diabetic subjects in Beijing urban communities is high and less than one quarter patients take hypolipid agents.Age,body mass index and hemoglobin A1c are the risk factors of dyslipidemia in type 2 diabetic patients.
10.Toxic effect of exotoxin A of Pseudomonas aeruginosa on keratocytes
Jilong HAO ; Fei WANG ; Hongyan ZHOU ; Wenxia ZHAO ; Shuyan GU
Journal of Jilin University(Medicine Edition) 2006;0(03):-
Objective To study the toxic effect of exotoxin A of Pseudomonas aeruginosa on keratocytes.Methods Three-dimensional gels of type I collagen containing rabbit keratocytes were incubated in the presence of different concentrations of exotoxin A(0.1,1.0,10 mg?L-1),cultivated for 24 h at 37℃,the change of keratocytes in morphology was observed under the light microscope,and the amount of lactate dehydrogenase(LDH) was measured by enzyme linked immunosorbent assay(ELISA).Results The LDH contents in different concentrations(0.1,1.0,10 mg?L-1)of exotoxin A groups were higher than that in the group without exotoxin A(P

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