1.Analysis of prognostic influencing factors for early non-small-cell lung cancer after radiotherapy
Hongyun ZHANG ; Shengmin LAN ; Jianzhong CAO ; Hongwei WANG ; Shuhui REN ; Ping LU ; Xiudong GUO
Cancer Research and Clinic 2012;24(3):182-185
Objective To evaluate the prognosis influencing factors of early non-small cell luny cancer (NSCLC) after radiotherapy.Methods 81 early NSCLC patients received definitive radiotherapy and were eligible.Among these patients,60 were diagnosed as squamous cell carcinoma,16 were adenocarcinoma and 5 were diagnosed through imaging instead of pathology.45 patients received conventional radiotherapy,36 patients received three dimensional conformal radiotherapy (3D-CRT),All of them received a total dose of 50-96 Gy with a median dose of 67.8 Gy. Kaplan-Meier survival curves and Cox regression model analysis were applied to evaluate the survival and prognostic factors. Results The median survival time was 34 months.The 1-,3- and 5-year survival rates (OS) were 88.7 %,41.9 %,21.8 %,respectively.Karnofsky performance status≥80,Clinical stage, diameter≤4 cm and the therapeutic effect were associated with improving overall survival.Cox hazards model showed that Karnofsky performance status≥ 80 and diameter≤4 cm were likely to be independent positive prognostic factors. Conclusion Karnofsky performance status and tumor diamater can be used to evaluate the prognosis of early NSCLC after radiotherapy.
2.Effect of Yudu-qing on the apoptosis of chronic myeloid leukemia K562 cells
Hui HE ; Jiduo LIU ; Yingchun ZHOU ; Mingfeng XIAO ; Hongyun LAN ; Guangping LIU
International Journal of Traditional Chinese Medicine 2012;(12):1088-1090
Objective To explore the effect of Yuduqing on the apoptosis of CML K562 cells cultured in vitro and its molecular mechanism.Methods In serologic pharmacological test,the K562 cells were divided into 8 different groups.Serum with imatinib plus Yuduqing (high-dose,middle-dose,low-dose) were added into the cells respectively in the 8 groups of K562 cells.Morphological assessment of apoptosis was performed with optical microscope,the rates of apoptosis and the cell cycles analysis was performed with flow cytometry at 12 h,24 h,48 h and 72 h time points respectively after the intervention.Results The primary cell of normal control group had a low rate of apoptosis,while the blank control group K562 cell apoptosis rate was lower,the difference is significant (P<0.05).The differences between the rates of apoptosis in high-dose,middle-dose and low-dose Yuduqing groups and those in normal control group and blank control group were significant in 12 hours or 24 hours (P<0.05).Drug groups showed significant differences of pair-comparison in groups and a certain time dose dependence.But the rate of apoptosis(31.48± 6.58) in k562 cells in high-dose Yuduqing group did not increase further at 72 hours after the intervention and it was not statistically different from that of 48 hours,nor statistically different from that of middle-dose group at 72 hours(27.54±5.89) after the intervention (P>0.05).The rate ofapoptosis in k562 cells in imatinib group (23.80±6.94) was relatively high at 12 hours after the intervention and it was significantly different from that in blank control group (P<0.05).The rates of apoptosis in imatinib and Yuduqing (high-dose,middle-dose,and low-dose) groups were significantly higher than those in imatinib group or Yuduqing high-dose,middle-dose,and low-dose)groups (P<0.05).Conclusion Serum with Yuduqing could induce apoptosis of K562 cells cultured in vitro and its action was dose-time dependent; Serum with Yuduqing (high-dose and middle-dose) was similar to serum with imatinib in inducing apoptosis of K562 cells cultured in vitro; Yuduqing could enhance the efficacy of imatinib.
3.Analysis of tobacco exposure and risk factors of smoking in smear-positive pulmonary tuberculosis patients in Shenzhen
Deliang LYU ; Weiye YU ; Jian XU ; Qingfang WU ; Xiaoling CHE ; Hongyun GUAN ; Lina LAN ; Weiguo TAN
Chinese Journal of Health Management 2018;12(3):230-236
Objective To clarify the status of tobacco exposure and identify risk factors of smoking among smear-positive pulmonary tuberculosis patients in Shenzhen,in order to provide a scientific basis for the formulation of tuberculosis-tobacco control strategy in Shenzhen.Methods From January to December 2016,a special survey was carried out in 8 districts in Shenzhen.A unified questionnaire was used to make face to face interviews for 958 smear-positive pulmonary tuberculosis patients registered in 2016.Descriptive statistics was conducted to analyze the status of tobacco exposure.Single factor analysis and multiple logistic regression were used to identify the important risk factors of smoking.Results Among smear-positive pulmonary tuberculosis patients in Shenzhen,the rates of general smoking,current smoking,regular smoking were 40.9%,34.2% and 30%,respectively.All smoking rates were higher among male than female participants (x2=255.226,197.463 and 162.707,respectively,and the P values were all<0.001);164cases of heavy smokers accounted for 50.0% of current smokers.Among 392 smokers,64 had quitted smoking,and the rate of smoking cessation was 16.3%.Among 566 nonsmokers,the rate of passive smoking from cohabiting smokers was 17.8% (101/566),and it was higher in female than male participants (23.1% vs.12.3%,x2=11.219,P=0.001).In single factor analysis,gender,work or living environment,age,education level,marital status,and body mass index were closely related to smoking (x2=255.226,28.375,40.922,29.585,9.117,and 7.052,respectively,and the P values were all<0.05).In multiple logistic regression,the major risk factors for smoking included in the model were gender (x2=120.797,P<0.001),age (x2=5.728,P=0.017),education level (x2=17.159,P<0.001),mode of case-finding (x2=3.670,P=0.055),work or living environment (x2=6.039,P=0.049),and marital status (x2=5.091,P=0.078).Conclusion The smoking status of smear-positive pulmonary tuberculosis patients was serious in Shenzhen.Tuberculosis patients were the key smokers.We should provide accurate intervention and health guidance for patients,such as,macro policy guidance,instillation of knowledge,mental health intervention,and smoke-free environment.
4.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.
5.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.