1.Therapeutic effect of Xingnaojing in treatment of 40 patients with intracerebral haematomas
Liru LI ; Zhiqiang LI ; Jie HUANG ; Jinzhang LI ; Kang CHEN ; Zhiying YING
Chinese Journal of Primary Medicine and Pharmacy 2012;19(5):641-642
Objective To investigate the therapeutic effect of Xingnaojing in treatment of hypertensive cerebral hemorrhage.Methods 90 patients diagnosed as cerebral hemorrhage patient hospitalized were randomly divided into treatment group and control group,treatment group 45 cases,control group 45 cases,including 23 males and 22 females aged 52~75 years(71 ±4).Results Treatment group:After 14 days treatment,neurological deficits had been greatly improved,the total effective was 97.3% ;Control group:Aftenr treatment,the improvement of neurological deficit was worse,the total effective was 77.3%.Hematoma volume in the two groups did not change significantly after one week treatment,but significant changed after two weeks treatment.There was significant difference between the two groups.Conclusion Xingnaojing had significant effect in treatment of hypertensive cerebral hemorrhage.
2.Analysis of factors influencing the complication of dry eye after corneal transplantation and construction of nomogram predictive model
Hongliang XU ; Qian KANG ; Zhiying MA
International Eye Science 2024;24(6):970-974
AIM: To analyze the influencing factors of postoperative dry eye complication after corneal transplantation and to build a nomogram prediction model.METHODS: Clinical data were collected on 117 patients who underwent corneal transplantation at our hospital from March 2021 to February 2023. They were divided into dry eye group(n=96)and non-dry eye group(n=21)according to whether there was a postoperative dry eye. The risk factors of postoperative complication of dry eye after corneal transplantation were analyzed, the nomogram prediction model for predicting postoperative complication of dry eye after corneal transplantation was constructed, and the internal validation of the model and the prediction efficacy were assessed by calibration curves and decision curves, respectively.RESULTS: Comorbid diabetes mellitus, comorbid sleep disorders, comorbid meibomian gland dysfunction, chronic eye drop abuse, chronic corneal contact lens wear, interleukin-6(IL-6), and tumor necrosis factor-α(TNF-α)were the risk factors for the complication of dry eye after corneal transplantation(P<0.05). The nomogram model predicted a C-index of 0.890(95% CI 0.877-0.903). The nomogram model had a threshold >0.07, and the nomogram model provided higher net clinical benefit than the single index in all cases.CONCLUSION: The nomogram model built in this study based on the factors affecting the complication of dry eye after corneal transplantation has a good predictive value for the complication of dry eye after corneal transplantation.
3.Optimization of the Microwave Processing Technology of Yellow Wine-processed Corydalis yanhusuo
Bin WANG ; Weilong LIANG ; Qinxian LIN ; Zhiying KANG ; Qifeng WANG
China Pharmacy 2020;31(20):2503-2507
OBJECTIVE:To optimize the microwave processing technology of yellow wine-processed Corydalis yanhusuo . METHODS:The contents of opioid alkaloid ,berberine hydrochloride and tetrahydropalmatine in C. yanhusuo processed with yellow wine were determined by HPLC. The contents of the extracts were determined by hot dipping method. Based on the single factor tests ,using the appearance of yellow wine-processed C. yanhusuo with microwave processing technology ,the contents of extract,opioid alkaloid ,berberine hydrochloride and tetrahydropalmatine as indexes ,with the amount of yellow wine ,wetting time,microwave power and microwaving time as factors ,the processing technology was optimized with orthogonal test combined with comprehensive weighted scoring method ,and then validated and compared with traditional yellow wine-processed C. yanhusuo . RESULTS:The linear ranges of opioid alkaloid ,berberine hydrochloride and tetrahydropalmatine were 0.100-1.500 μg(R2=0.999 6), 0.012-0.188 μg(R2=0.999 5),0.050-0.750 μg(R2=0.999 8). RSDs of precision ,stability(12 h)and repeatability tests were all less than 2% . The recoveries were 99.15% -100.34%(RSD=0.54% ,n=6),99.52% -100.78%(RSD=0.69% ,n=6), 99.26%-99.79%(RSD=0.28%,n=6). The optimum microwave processing technology included that the amount of yellow wine was 4 g(about 20% of medicinal material amount ),microwave power was 40%,wetting time was 3 hour,processing time was 3 min. The results of three verification tests showed that the contents of extract ,opioid alkaloid ,berberine hydrochloride and tetrahydropalmatine were 15.7%-16.1%,0.061%-0.063%,0.003%-0.004% and 0.061%-0.063%. The comprehensive scores were 97.916,94.730 and 97.217,and RSD were 0.42%,0.38%,0.46%(n=3),respectively. Compared with traditional yellow wine processing technology ,there was no significant difference in the contents of opioid alkaloid and other components ,but no scorched spot and crumbs was found in yellow wine-processed C. yanhusuo with microwave processing technology. CONCLUSIONS:Established method for content determination is simple ,accurate,reliable and reproducible ,and can be used for quantitative analysis of active components in yellow wine-processed C. yanhusuo . Optimized microw ave processing technology is stable and feasible ,and can be used for the processing of yellow wine-processed C. yanhusuo .
4.The phenotypic and genetic spectrum of colony-stimulating factor 1 receptor gene-related leukoencephalopathy in China
Jingying WU ; Zaiqiang ZHANG ; Qing LIU ; Jun XU ; Weihai XU ; Liyong WU ; Zhiying WU ; Kang WANG ; Jianjun WU ; Zhangyu ZOU ; Haishan JIANG ; Wei ZHANG ; Wei GE ; Yuhu ZHANG ; Tongxia ZHANG ; Lixia ZHANG ; Zhanhang WANG ; Li LING ; Chang ZHOU ; Yun LI ; Beisha TANG ; Jianguang TANG ; Ping ZHONG ; Liang SHANG ; Yimin SUN ; Guixian ZHAO ; Xiuhe ZHAO ; Hongfu LI ; Jiong HU ; Jieling JIANG ; Chao ZHANG ; Xinghua LUAN ; Yuwu ZHAO ; Wotu TIAN ; Feixia ZHAN ; Xiaohang QIAN ; Huidong TANG ; Yuyan TAN ; Chunkang CHANG ; Youshan ZHAO ; Li CAO
Chinese Journal of Neurology 2021;54(11):1109-1118
Objective:To summarize and analyze the clinical data of Chinese patients with colony-stimulating factor 1 receptor (CSF1R)-related leukoencephalopathy, and clarify the phenotypic and genetic characteristics of Chinese patients.Methods:Medical history of patients with CSF1R-related leukoencephalopathy diagnosed from April 1, 2018 to January 31, 2021 in the department of neurology of 22 hospitals in China was collected, and scores of Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment Scale (MoCA), magnetic resonance severity scale were evaluated. Group comparison was performed between male and female patients.Results:A total of 62 patients were included, and the male-female ratio was 1∶1.95. The age of onset was (40.35±8.42) years. Cognitive impairment (82.3%, 51/62) and motor symptoms (77.4%,48/62) were the most common symptoms. The MMSE and MoCA scores were 18.79±7.16 and 13.96±7.23, respectively, and the scores of two scales in male patients (22.06±5.31 and 18.08±5.60) were significantly higher than those in females (15.53±7.41 , t=2.954, P=0.006; 10.15±6.26, t=3.328 , P=0.003). The most common radiographic feature was bilateral asymmetric white matter changes (100.0%), and the magnetic resonance imaging severity scale score was 27.42±11.40, while the white matter lesion score of females (22.94±8.39) was significantly higher than that of males (17.62±8.74 , t=-2.221, P<0.05). A total of 36 CSF1R gene mutations were found in this study, among which c.2381T>C/p.I794T was the hotspot mutation that carried by 17.9% (10/56) of the probands. Conclusions:The core phenotypic characteristics of CSF1R-related leukoencephalopathy in China are progressive motor and cognitive impairment, with bilateral asymmetrical white matter changes. In addition, there exist gender differences clinically, with severer cognitive impairment and imaging changes in female patients. Thirty-six CSF1R gene mutations were found in this study, and c.2381T>C/p. I794T was the hotspot mutation.
5.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.
6.Microneedle-based percutaneous immunity: a review.
Yue LI ; Jing WANG ; Zhiying JIN ; Wei WAN ; Xuexin BAI ; Chenyi HU ; Yanwei LI ; Wenwen XIN ; Lin KANG ; Hao YANG ; Jinglin WANG ; Shan GAO
Chinese Journal of Biotechnology 2022;38(9):3301-3315
Microneedle percutaneous immunization is achieved by puncturing the stratum corneum of the skin with microneedles so that the vaccine is efficiently recognized by antigen-presenting cells to induce a specific immune response. Due to the advantages of efficient induction of immune response, low pain and easy storage, transdermal immunization by microneedles has been widely used for immunization of various vaccines in recent years. This review summarizes the materials of microneedles, application for transcutaneous immunization, as well as the challenges that need to be addressed.
Administration, Cutaneous
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Drug Delivery Systems
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Needles
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Vaccination
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Vaccines
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.